diff --git a/.github/workflows/api-tests.yml b/.github/workflows/api-tests.yml index b1cf41a226..e9c2b7b086 100644 --- a/.github/workflows/api-tests.yml +++ b/.github/workflows/api-tests.yml @@ -27,18 +27,17 @@ jobs: - name: Checkout code uses: actions/checkout@v4 - - name: Install Poetry - uses: abatilo/actions-poetry@v3 - - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - cache: 'poetry' cache-dependency-path: | api/pyproject.toml api/poetry.lock + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Check Poetry lockfile run: | poetry check -C api --lock diff --git a/.github/workflows/db-migration-test.yml b/.github/workflows/db-migration-test.yml index 67d1558dbc..a33cdacd80 100644 --- a/.github/workflows/db-migration-test.yml +++ b/.github/workflows/db-migration-test.yml @@ -23,18 +23,17 @@ jobs: - name: Checkout code uses: actions/checkout@v4 - - name: Install Poetry - uses: abatilo/actions-poetry@v3 - - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - cache: 'poetry' cache-dependency-path: | api/pyproject.toml api/poetry.lock + - name: Install Poetry + uses: abatilo/actions-poetry@v3 + - name: Install dependencies run: poetry install -C api diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml index 719e6cfe90..7eb60aa51e 100644 --- a/.github/workflows/style.yml +++ b/.github/workflows/style.yml @@ -24,15 +24,16 @@ jobs: with: files: api/** - - name: Install Poetry - uses: abatilo/actions-poetry@v3 - - name: Set up Python uses: actions/setup-python@v5 if: steps.changed-files.outputs.any_changed == 'true' with: python-version: '3.10' + - name: Install Poetry + if: steps.changed-files.outputs.any_changed == 'true' + uses: abatilo/actions-poetry@v3 + - name: Python dependencies if: steps.changed-files.outputs.any_changed == 'true' run: poetry install -C api --only lint diff --git a/api/README.md b/api/README.md index bab33f9293..92cd88a6d4 100644 --- a/api/README.md +++ b/api/README.md @@ -85,3 +85,4 @@ cd ../ poetry run -C api bash dev/pytest/pytest_all_tests.sh ``` + diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py index faab8bbc41..26fff01748 100644 --- a/api/configs/feature/__init__.py +++ b/api/configs/feature/__init__.py @@ -531,11 +531,16 @@ class DataSetConfig(BaseSettings): Configuration for dataset management """ - CLEAN_DAY_SETTING: PositiveInt = Field( - description="Interval in days for dataset cleanup operations", + PLAN_SANDBOX_CLEAN_DAY_SETTING: PositiveInt = Field( + description="Interval in days for dataset cleanup operations - plan: sandbox", default=30, ) + PLAN_PRO_CLEAN_DAY_SETTING: PositiveInt = Field( + description="Interval in days for dataset cleanup operations - plan: pro and team", + default=7, + ) + DATASET_OPERATOR_ENABLED: bool = Field( description="Enable or disable dataset operator functionality", default=False, diff --git a/api/configs/middleware/vdb/oracle_config.py b/api/configs/middleware/vdb/oracle_config.py index 44e2f13345..5d2cf67ba3 100644 --- a/api/configs/middleware/vdb/oracle_config.py +++ b/api/configs/middleware/vdb/oracle_config.py @@ -14,7 +14,7 @@ class OracleConfig(BaseSettings): default=None, ) - ORACLE_PORT: Optional[PositiveInt] = Field( + ORACLE_PORT: PositiveInt = Field( description="Port number on which the Oracle database server is listening (default is 1521)", default=1521, ) diff --git a/api/configs/middleware/vdb/pgvector_config.py b/api/configs/middleware/vdb/pgvector_config.py index 85f5dca7e2..4561a9a7ca 100644 --- a/api/configs/middleware/vdb/pgvector_config.py +++ b/api/configs/middleware/vdb/pgvector_config.py @@ -14,7 +14,7 @@ class PGVectorConfig(BaseSettings): default=None, ) - PGVECTOR_PORT: Optional[PositiveInt] = Field( + PGVECTOR_PORT: PositiveInt = Field( description="Port number on which the PostgreSQL server is listening (default is 5433)", default=5433, ) diff --git a/api/configs/middleware/vdb/pgvectors_config.py b/api/configs/middleware/vdb/pgvectors_config.py index 8d7a4b8d25..fa3bca5bb7 100644 --- a/api/configs/middleware/vdb/pgvectors_config.py +++ b/api/configs/middleware/vdb/pgvectors_config.py @@ -14,7 +14,7 @@ class PGVectoRSConfig(BaseSettings): default=None, ) - PGVECTO_RS_PORT: Optional[PositiveInt] = Field( + PGVECTO_RS_PORT: PositiveInt = Field( description="Port number on which the PostgreSQL server with PGVecto.RS is listening (default is 5431)", default=5431, ) diff --git a/api/configs/middleware/vdb/vikingdb_config.py b/api/configs/middleware/vdb/vikingdb_config.py index 5ad98d898a..3e718481dc 100644 --- a/api/configs/middleware/vdb/vikingdb_config.py +++ b/api/configs/middleware/vdb/vikingdb_config.py @@ -11,27 +11,39 @@ class VikingDBConfig(BaseModel): """ VIKINGDB_ACCESS_KEY: Optional[str] = Field( - default=None, description="The Access Key provided by Volcengine VikingDB for API authentication." + description="The Access Key provided by Volcengine VikingDB for API authentication." + "Refer to the following documentation for details on obtaining credentials:" + "https://www.volcengine.com/docs/6291/65568", + default=None, ) + VIKINGDB_SECRET_KEY: Optional[str] = Field( - default=None, description="The Secret Key provided by Volcengine VikingDB for API authentication." + description="The Secret Key provided by Volcengine VikingDB for API authentication.", + default=None, ) - VIKINGDB_REGION: Optional[str] = Field( - default="cn-shanghai", + + VIKINGDB_REGION: str = Field( description="The region of the Volcengine VikingDB service.(e.g., 'cn-shanghai', 'cn-beijing').", + default="cn-shanghai", ) - VIKINGDB_HOST: Optional[str] = Field( - default="api-vikingdb.mlp.cn-shanghai.volces.com", + + VIKINGDB_HOST: str = Field( description="The host of the Volcengine VikingDB service.(e.g., 'api-vikingdb.volces.com', \ 'api-vikingdb.mlp.cn-shanghai.volces.com')", + default="api-vikingdb.mlp.cn-shanghai.volces.com", ) - VIKINGDB_SCHEME: Optional[str] = Field( - default="http", + + VIKINGDB_SCHEME: str = Field( description="The scheme of the Volcengine VikingDB service.(e.g., 'http', 'https').", + default="http", ) - VIKINGDB_CONNECTION_TIMEOUT: Optional[int] = Field( - default=30, description="The connection timeout of the Volcengine VikingDB service." + + VIKINGDB_CONNECTION_TIMEOUT: int = Field( + description="The connection timeout of the Volcengine VikingDB service.", + default=30, ) - VIKINGDB_SOCKET_TIMEOUT: Optional[int] = Field( - default=30, description="The socket timeout of the Volcengine VikingDB service." + + VIKINGDB_SOCKET_TIMEOUT: int = Field( + description="The socket timeout of the Volcengine VikingDB service.", + default=30, ) diff --git a/api/configs/packaging/__init__.py b/api/configs/packaging/__init__.py index c311a989b4..c832fb671e 100644 --- a/api/configs/packaging/__init__.py +++ b/api/configs/packaging/__init__.py @@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings): CURRENT_VERSION: str = Field( description="Dify version", - default="0.9.1", + default="0.9.2", ) COMMIT_SHA: str = Field( diff --git a/api/controllers/console/datasets/hit_testing.py b/api/controllers/console/datasets/hit_testing.py index 6e6d8c0bd7..5c9bcef84c 100644 --- a/api/controllers/console/datasets/hit_testing.py +++ b/api/controllers/console/datasets/hit_testing.py @@ -1,88 +1,24 @@ -import logging +from flask_restful import Resource -from flask_login import current_user -from flask_restful import Resource, marshal, reqparse -from werkzeug.exceptions import Forbidden, InternalServerError, NotFound - -import services from controllers.console import api -from controllers.console.app.error import ( - CompletionRequestError, - ProviderModelCurrentlyNotSupportError, - ProviderNotInitializeError, - ProviderQuotaExceededError, -) -from controllers.console.datasets.error import DatasetNotInitializedError +from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase from controllers.console.setup import setup_required from controllers.console.wraps import account_initialization_required -from core.errors.error import ( - LLMBadRequestError, - ModelCurrentlyNotSupportError, - ProviderTokenNotInitError, - QuotaExceededError, -) -from core.model_runtime.errors.invoke import InvokeError -from fields.hit_testing_fields import hit_testing_record_fields from libs.login import login_required -from services.dataset_service import DatasetService -from services.hit_testing_service import HitTestingService -class HitTestingApi(Resource): +class HitTestingApi(Resource, DatasetsHitTestingBase): @setup_required @login_required @account_initialization_required def post(self, dataset_id): dataset_id_str = str(dataset_id) - dataset = DatasetService.get_dataset(dataset_id_str) - if dataset is None: - raise NotFound("Dataset not found.") + dataset = self.get_and_validate_dataset(dataset_id_str) + args = self.parse_args() + self.hit_testing_args_check(args) - try: - DatasetService.check_dataset_permission(dataset, current_user) - except services.errors.account.NoPermissionError as e: - raise Forbidden(str(e)) - - parser = reqparse.RequestParser() - parser.add_argument("query", type=str, location="json") - parser.add_argument("retrieval_model", type=dict, required=False, location="json") - parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") - args = parser.parse_args() - - HitTestingService.hit_testing_args_check(args) - - try: - response = HitTestingService.retrieve( - dataset=dataset, - query=args["query"], - account=current_user, - retrieval_model=args["retrieval_model"], - external_retrieval_model=args["external_retrieval_model"], - limit=10, - ) - - return {"query": response["query"], "records": marshal(response["records"], hit_testing_record_fields)} - except services.errors.index.IndexNotInitializedError: - raise DatasetNotInitializedError() - except ProviderTokenNotInitError as ex: - raise ProviderNotInitializeError(ex.description) - except QuotaExceededError: - raise ProviderQuotaExceededError() - except ModelCurrentlyNotSupportError: - raise ProviderModelCurrentlyNotSupportError() - except LLMBadRequestError: - raise ProviderNotInitializeError( - "No Embedding Model or Reranking Model available. Please configure a valid provider " - "in the Settings -> Model Provider." - ) - except InvokeError as e: - raise CompletionRequestError(e.description) - except ValueError as e: - raise ValueError(str(e)) - except Exception as e: - logging.exception("Hit testing failed.") - raise InternalServerError(str(e)) + return self.perform_hit_testing(dataset, args) api.add_resource(HitTestingApi, "/datasets//hit-testing") diff --git a/api/controllers/console/datasets/hit_testing_base.py b/api/controllers/console/datasets/hit_testing_base.py new file mode 100644 index 0000000000..3b4c076863 --- /dev/null +++ b/api/controllers/console/datasets/hit_testing_base.py @@ -0,0 +1,85 @@ +import logging + +from flask_login import current_user +from flask_restful import marshal, reqparse +from werkzeug.exceptions import Forbidden, InternalServerError, NotFound + +import services.dataset_service +from controllers.console.app.error import ( + CompletionRequestError, + ProviderModelCurrentlyNotSupportError, + ProviderNotInitializeError, + ProviderQuotaExceededError, +) +from controllers.console.datasets.error import DatasetNotInitializedError +from core.errors.error import ( + LLMBadRequestError, + ModelCurrentlyNotSupportError, + ProviderTokenNotInitError, + QuotaExceededError, +) +from core.model_runtime.errors.invoke import InvokeError +from fields.hit_testing_fields import hit_testing_record_fields +from services.dataset_service import DatasetService +from services.hit_testing_service import HitTestingService + + +class DatasetsHitTestingBase: + @staticmethod + def get_and_validate_dataset(dataset_id: str): + dataset = DatasetService.get_dataset(dataset_id) + if dataset is None: + raise NotFound("Dataset not found.") + + try: + DatasetService.check_dataset_permission(dataset, current_user) + except services.errors.account.NoPermissionError as e: + raise Forbidden(str(e)) + + return dataset + + @staticmethod + def hit_testing_args_check(args): + HitTestingService.hit_testing_args_check(args) + + @staticmethod + def parse_args(): + parser = reqparse.RequestParser() + + parser.add_argument("query", type=str, location="json") + parser.add_argument("retrieval_model", type=dict, required=False, location="json") + parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") + return parser.parse_args() + + @staticmethod + def perform_hit_testing(dataset, args): + try: + response = HitTestingService.retrieve( + dataset=dataset, + query=args["query"], + account=current_user, + retrieval_model=args["retrieval_model"], + external_retrieval_model=args["external_retrieval_model"], + limit=10, + ) + return {"query": response["query"], "records": marshal(response["records"], hit_testing_record_fields)} + except services.errors.index.IndexNotInitializedError: + raise DatasetNotInitializedError() + except ProviderTokenNotInitError as ex: + raise ProviderNotInitializeError(ex.description) + except QuotaExceededError: + raise ProviderQuotaExceededError() + except ModelCurrentlyNotSupportError: + raise ProviderModelCurrentlyNotSupportError() + except LLMBadRequestError: + raise ProviderNotInitializeError( + "No Embedding Model or Reranking Model available. Please configure a valid provider " + "in the Settings -> Model Provider." + ) + except InvokeError as e: + raise CompletionRequestError(e.description) + except ValueError as e: + raise ValueError(str(e)) + except Exception as e: + logging.exception("Hit testing failed.") + raise InternalServerError(str(e)) diff --git a/api/controllers/service_api/__init__.py b/api/controllers/service_api/__init__.py index ad39c160ac..d6ab96c329 100644 --- a/api/controllers/service_api/__init__.py +++ b/api/controllers/service_api/__init__.py @@ -5,7 +5,6 @@ from libs.external_api import ExternalApi bp = Blueprint("service_api", __name__, url_prefix="/v1") api = ExternalApi(bp) - from . import index from .app import app, audio, completion, conversation, file, message, workflow -from .dataset import dataset, document, segment +from .dataset import dataset, document, hit_testing, segment diff --git a/api/controllers/service_api/app/completion.py b/api/controllers/service_api/app/completion.py index 5c3601cf23..8d8e356c4c 100644 --- a/api/controllers/service_api/app/completion.py +++ b/api/controllers/service_api/app/completion.py @@ -4,7 +4,6 @@ from flask_restful import Resource, reqparse from werkzeug.exceptions import InternalServerError, NotFound import services -from constants import UUID_NIL from controllers.service_api import api from controllers.service_api.app.error import ( AppUnavailableError, @@ -108,7 +107,6 @@ class ChatApi(Resource): parser.add_argument("conversation_id", type=uuid_value, location="json") parser.add_argument("retriever_from", type=str, required=False, default="dev", location="json") parser.add_argument("auto_generate_name", type=bool, required=False, default=True, location="json") - parser.add_argument("parent_message_id", type=uuid_value, required=False, default=UUID_NIL, location="json") args = parser.parse_args() diff --git a/api/controllers/service_api/dataset/hit_testing.py b/api/controllers/service_api/dataset/hit_testing.py new file mode 100644 index 0000000000..9c9a4302c9 --- /dev/null +++ b/api/controllers/service_api/dataset/hit_testing.py @@ -0,0 +1,17 @@ +from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase +from controllers.service_api import api +from controllers.service_api.wraps import DatasetApiResource + + +class HitTestingApi(DatasetApiResource, DatasetsHitTestingBase): + def post(self, tenant_id, dataset_id): + dataset_id_str = str(dataset_id) + + dataset = self.get_and_validate_dataset(dataset_id_str) + args = self.parse_args() + self.hit_testing_args_check(args) + + return self.perform_hit_testing(dataset, args) + + +api.add_resource(HitTestingApi, "/datasets//hit-testing") diff --git a/api/core/agent/output_parser/cot_output_parser.py b/api/core/agent/output_parser/cot_output_parser.py index 99876b2f5e..085bac8601 100644 --- a/api/core/agent/output_parser/cot_output_parser.py +++ b/api/core/agent/output_parser/cot_output_parser.py @@ -62,6 +62,8 @@ class CotAgentOutputParser: thought_str = "thought:" thought_idx = 0 + last_character = "" + for response in llm_response: if response.delta.usage: usage_dict["usage"] = response.delta.usage @@ -74,35 +76,38 @@ class CotAgentOutputParser: while index < len(response): steps = 1 delta = response[index : index + steps] - last_character = response[index - 1] if index > 0 else "" + yield_delta = False if delta == "`": + last_character = delta code_block_cache += delta code_block_delimiter_count += 1 else: if not in_code_block: if code_block_delimiter_count > 0: + last_character = delta yield code_block_cache code_block_cache = "" else: + last_character = delta code_block_cache += delta code_block_delimiter_count = 0 if not in_code_block and not in_json: if delta.lower() == action_str[action_idx] and action_idx == 0: if last_character not in {"\n", " ", ""}: + yield_delta = True + else: + last_character = delta + action_cache += delta + action_idx += 1 + if action_idx == len(action_str): + action_cache = "" + action_idx = 0 index += steps - yield delta continue - - action_cache += delta - action_idx += 1 - if action_idx == len(action_str): - action_cache = "" - action_idx = 0 - index += steps - continue elif delta.lower() == action_str[action_idx] and action_idx > 0: + last_character = delta action_cache += delta action_idx += 1 if action_idx == len(action_str): @@ -112,24 +117,25 @@ class CotAgentOutputParser: continue else: if action_cache: + last_character = delta yield action_cache action_cache = "" action_idx = 0 if delta.lower() == thought_str[thought_idx] and thought_idx == 0: if last_character not in {"\n", " ", ""}: + yield_delta = True + else: + last_character = delta + thought_cache += delta + thought_idx += 1 + if thought_idx == len(thought_str): + thought_cache = "" + thought_idx = 0 index += steps - yield delta continue - - thought_cache += delta - thought_idx += 1 - if thought_idx == len(thought_str): - thought_cache = "" - thought_idx = 0 - index += steps - continue elif delta.lower() == thought_str[thought_idx] and thought_idx > 0: + last_character = delta thought_cache += delta thought_idx += 1 if thought_idx == len(thought_str): @@ -139,12 +145,20 @@ class CotAgentOutputParser: continue else: if thought_cache: + last_character = delta yield thought_cache thought_cache = "" thought_idx = 0 + if yield_delta: + index += steps + last_character = delta + yield delta + continue + if code_block_delimiter_count == 3: if in_code_block: + last_character = delta yield from extra_json_from_code_block(code_block_cache) code_block_cache = "" @@ -156,8 +170,10 @@ class CotAgentOutputParser: if delta == "{": json_quote_count += 1 in_json = True + last_character = delta json_cache += delta elif delta == "}": + last_character = delta json_cache += delta if json_quote_count > 0: json_quote_count -= 1 @@ -168,16 +184,19 @@ class CotAgentOutputParser: continue else: if in_json: + last_character = delta json_cache += delta if got_json: got_json = False + last_character = delta yield parse_action(json_cache) json_cache = "" json_quote_count = 0 in_json = False if not in_code_block and not in_json: + last_character = delta yield delta.replace("`", "") index += steps diff --git a/api/core/app/apps/advanced_chat/app_generator.py b/api/core/app/apps/advanced_chat/app_generator.py index 0d183596f3..7fff925f4b 100644 --- a/api/core/app/apps/advanced_chat/app_generator.py +++ b/api/core/app/apps/advanced_chat/app_generator.py @@ -10,6 +10,7 @@ from flask import Flask, current_app from pydantic import ValidationError import contexts +from constants import UUID_NIL from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.advanced_chat.app_config_manager import AdvancedChatAppConfigManager from core.app.apps.advanced_chat.app_runner import AdvancedChatAppRunner @@ -122,7 +123,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator): inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, - parent_message_id=args.get("parent_message_id"), + parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, stream=stream, invoke_from=invoke_from, diff --git a/api/core/app/apps/agent_chat/app_generator.py b/api/core/app/apps/agent_chat/app_generator.py index 99abccf4f9..81c3c765dc 100644 --- a/api/core/app/apps/agent_chat/app_generator.py +++ b/api/core/app/apps/agent_chat/app_generator.py @@ -8,6 +8,7 @@ from typing import Any, Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError +from constants import UUID_NIL from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.agent_chat.app_config_manager import AgentChatAppConfigManager @@ -127,7 +128,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator): inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, - parent_message_id=args.get("parent_message_id"), + parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, stream=stream, invoke_from=invoke_from, diff --git a/api/core/app/apps/chat/app_generator.py b/api/core/app/apps/chat/app_generator.py index 9ef1366a0f..49b56ecc67 100644 --- a/api/core/app/apps/chat/app_generator.py +++ b/api/core/app/apps/chat/app_generator.py @@ -8,6 +8,7 @@ from typing import Any, Literal, Union, overload from flask import Flask, current_app from pydantic import ValidationError +from constants import UUID_NIL from core.app.app_config.easy_ui_based_app.model_config.converter import ModelConfigConverter from core.app.app_config.features.file_upload.manager import FileUploadConfigManager from core.app.apps.base_app_queue_manager import AppQueueManager, GenerateTaskStoppedError, PublishFrom @@ -128,7 +129,7 @@ class ChatAppGenerator(MessageBasedAppGenerator): inputs=conversation.inputs if conversation else self._get_cleaned_inputs(inputs, app_config), query=query, files=file_objs, - parent_message_id=args.get("parent_message_id"), + parent_message_id=args.get("parent_message_id") if invoke_from != InvokeFrom.SERVICE_API else UUID_NIL, user_id=user.id, stream=stream, invoke_from=invoke_from, diff --git a/api/core/app/entities/app_invoke_entities.py b/api/core/app/entities/app_invoke_entities.py index e757c8db75..98685513a3 100644 --- a/api/core/app/entities/app_invoke_entities.py +++ b/api/core/app/entities/app_invoke_entities.py @@ -2,8 +2,9 @@ from collections.abc import Mapping from enum import Enum from typing import Any, Optional -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, Field, ValidationInfo, field_validator +from constants import UUID_NIL from core.app.app_config.entities import AppConfig, EasyUIBasedAppConfig, WorkflowUIBasedAppConfig from core.entities.provider_configuration import ProviderModelBundle from core.file.file_obj import FileVar @@ -116,13 +117,36 @@ class EasyUIBasedAppGenerateEntity(AppGenerateEntity): model_config = ConfigDict(protected_namespaces=()) -class ChatAppGenerateEntity(EasyUIBasedAppGenerateEntity): +class ConversationAppGenerateEntity(AppGenerateEntity): + """ + Base entity for conversation-based app generation. + """ + + conversation_id: Optional[str] = None + parent_message_id: Optional[str] = Field( + default=None, + description=( + "Starting from v0.9.0, parent_message_id is used to support message regeneration for internal chat API." + "For service API, we need to ensure its forward compatibility, " + "so passing in the parent_message_id as request arg is not supported for now. " + "It needs to be set to UUID_NIL so that the subsequent processing will treat it as legacy messages." + ), + ) + + @field_validator("parent_message_id") + @classmethod + def validate_parent_message_id(cls, v, info: ValidationInfo): + if info.data.get("invoke_from") == InvokeFrom.SERVICE_API and v != UUID_NIL: + raise ValueError("parent_message_id should be UUID_NIL for service API") + return v + + +class ChatAppGenerateEntity(ConversationAppGenerateEntity, EasyUIBasedAppGenerateEntity): """ Chat Application Generate Entity. """ - conversation_id: Optional[str] = None - parent_message_id: Optional[str] = None + pass class CompletionAppGenerateEntity(EasyUIBasedAppGenerateEntity): @@ -133,16 +157,15 @@ class CompletionAppGenerateEntity(EasyUIBasedAppGenerateEntity): pass -class AgentChatAppGenerateEntity(EasyUIBasedAppGenerateEntity): +class AgentChatAppGenerateEntity(ConversationAppGenerateEntity, EasyUIBasedAppGenerateEntity): """ Agent Chat Application Generate Entity. """ - conversation_id: Optional[str] = None - parent_message_id: Optional[str] = None + pass -class AdvancedChatAppGenerateEntity(AppGenerateEntity): +class AdvancedChatAppGenerateEntity(ConversationAppGenerateEntity): """ Advanced Chat Application Generate Entity. """ @@ -150,8 +173,6 @@ class AdvancedChatAppGenerateEntity(AppGenerateEntity): # app config app_config: WorkflowUIBasedAppConfig - conversation_id: Optional[str] = None - parent_message_id: Optional[str] = None workflow_run_id: Optional[str] = None query: str diff --git a/api/core/model_runtime/model_providers/azure_openai/_constant.py b/api/core/model_runtime/model_providers/azure_openai/_constant.py index baa5421396..24657167dd 100644 --- a/api/core/model_runtime/model_providers/azure_openai/_constant.py +++ b/api/core/model_runtime/model_providers/azure_openai/_constant.py @@ -1098,6 +1098,14 @@ LLM_BASE_MODELS = [ ModelPropertyKey.CONTEXT_SIZE: 128000, }, parameter_rules=[ + ParameterRule( + name="temperature", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE], + ), + ParameterRule( + name="top_p", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P], + ), ParameterRule( name="response_format", label=I18nObject(zh_Hans="回复格式", en_US="response_format"), @@ -1135,6 +1143,14 @@ LLM_BASE_MODELS = [ ModelPropertyKey.CONTEXT_SIZE: 128000, }, parameter_rules=[ + ParameterRule( + name="temperature", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE], + ), + ParameterRule( + name="top_p", + **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P], + ), ParameterRule( name="response_format", label=I18nObject(zh_Hans="回复格式", en_US="response_format"), diff --git a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py index b9cc3bb672..4f46fb81f8 100644 --- a/api/core/model_runtime/model_providers/azure_openai/llm/llm.py +++ b/api/core/model_runtime/model_providers/azure_openai/llm/llm.py @@ -119,7 +119,15 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel): try: client = AzureOpenAI(**self._to_credential_kwargs(credentials)) - if ai_model_entity.entity.model_properties.get(ModelPropertyKey.MODE) == LLMMode.CHAT.value: + if model.startswith("o1"): + client.chat.completions.create( + messages=[{"role": "user", "content": "ping"}], + model=model, + temperature=1, + max_completion_tokens=20, + stream=False, + ) + elif ai_model_entity.entity.model_properties.get(ModelPropertyKey.MODE) == LLMMode.CHAT.value: # chat model client.chat.completions.create( messages=[{"role": "user", "content": "ping"}], diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml index 24a65ef1bb..22bd927d1d 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-haiku-v1.yaml @@ -52,6 +52,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.00025' output: '0.00125' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml index e3d25c7d8f..0dc596432b 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.5.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml index 9a06a4ad6d..c003fa3908 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v1.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml index 9247f46974..14f2450e0a 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-haiku-v1.yaml @@ -52,6 +52,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.00025' output: '0.00125' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml index f9854d51f0..eef7b766d9 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-opus-v1.yaml @@ -52,6 +52,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.015' output: '0.075' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml index fbcab2d5f3..a02fc350d1 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.5.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml index 9f5a1501f0..7db3527761 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.anthropic.claude-3-sonnet-v1.yaml @@ -51,6 +51,8 @@ parameter_rules: help: zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format pricing: input: '0.003' output: '0.015' diff --git a/api/core/model_runtime/model_providers/fireworks/fireworks.yaml b/api/core/model_runtime/model_providers/fireworks/fireworks.yaml index cdb87a55e9..ddbaa54eb1 100644 --- a/api/core/model_runtime/model_providers/fireworks/fireworks.yaml +++ b/api/core/model_runtime/model_providers/fireworks/fireworks.yaml @@ -18,6 +18,7 @@ supported_model_types: - text-embedding configurate_methods: - predefined-model + - customizable-model provider_credential_schema: credential_form_schemas: - variable: fireworks_api_key @@ -28,3 +29,75 @@ provider_credential_schema: placeholder: zh_Hans: 在此输入您的 API Key en_US: Enter your API Key +model_credential_schema: + model: + label: + en_US: Model URL + zh_Hans: 模型URL + placeholder: + en_US: Enter your Model URL + zh_Hans: 输入模型URL + credential_form_schemas: + - variable: model_label_zh_Hanns + label: + zh_Hans: 模型中文名称 + en_US: The zh_Hans of Model + required: true + type: text-input + placeholder: + zh_Hans: 在此输入您的模型中文名称 + en_US: Enter your zh_Hans of Model + - variable: model_label_en_US + label: + zh_Hans: 模型英文名称 + en_US: The en_US of Model + required: true + type: text-input + placeholder: + zh_Hans: 在此输入您的模型英文名称 + en_US: Enter your en_US of Model + - variable: fireworks_api_key + label: + en_US: API Key + type: secret-input + required: true + placeholder: + zh_Hans: 在此输入您的 API Key + en_US: Enter your API Key + - variable: context_size + label: + zh_Hans: 模型上下文长度 + en_US: Model context size + required: true + type: text-input + default: '4096' + placeholder: + zh_Hans: 在此输入您的模型上下文长度 + en_US: Enter your Model context size + - variable: max_tokens + label: + zh_Hans: 最大 token 上限 + en_US: Upper bound for max tokens + default: '4096' + type: text-input + show_on: + - variable: __model_type + value: llm + - variable: function_calling_type + label: + en_US: Function calling + type: select + required: false + default: no_call + options: + - value: no_call + label: + en_US: Not Support + zh_Hans: 不支持 + - value: function_call + label: + en_US: Support + zh_Hans: 支持 + show_on: + - variable: __model_type + value: llm diff --git a/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml b/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml index ee41a7e2fd..61ab39482b 100644 --- a/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml +++ b/api/core/model_runtime/model_providers/fireworks/llm/gemma2-9b-it.yaml @@ -43,3 +43,4 @@ pricing: output: '0.2' unit: '0.000001' currency: USD +deprecated: true diff --git a/api/core/model_runtime/model_providers/fireworks/llm/llm.py b/api/core/model_runtime/model_providers/fireworks/llm/llm.py index 24aad9c4d3..ffe1ad5fcb 100644 --- a/api/core/model_runtime/model_providers/fireworks/llm/llm.py +++ b/api/core/model_runtime/model_providers/fireworks/llm/llm.py @@ -8,7 +8,8 @@ from openai.types.chat.chat_completion_chunk import ChoiceDeltaFunctionCall, Cho from openai.types.chat.chat_completion_message import FunctionCall from core.model_runtime.callbacks.base_callback import Callback -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta +from core.model_runtime.entities.common_entities import I18nObject +from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, ImagePromptMessageContent, @@ -20,6 +21,15 @@ from core.model_runtime.entities.message_entities import ( ToolPromptMessage, UserPromptMessage, ) +from core.model_runtime.entities.model_entities import ( + AIModelEntity, + FetchFrom, + ModelFeature, + ModelPropertyKey, + ModelType, + ParameterRule, + ParameterType, +) from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.model_runtime.model_providers.fireworks._common import _CommonFireworks @@ -608,3 +618,50 @@ class FireworksLargeLanguageModel(_CommonFireworks, LargeLanguageModel): num_tokens += self._get_num_tokens_by_gpt2(required_field) return num_tokens + + def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: + return AIModelEntity( + model=model, + label=I18nObject( + en_US=credentials.get("model_label_en_US", model), + zh_Hans=credentials.get("model_label_zh_Hanns", model), + ), + model_type=ModelType.LLM, + features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL] + if credentials.get("function_calling_type") == "function_call" + else [], + fetch_from=FetchFrom.CUSTOMIZABLE_MODEL, + model_properties={ + ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 4096)), + ModelPropertyKey.MODE: LLMMode.CHAT.value, + }, + parameter_rules=[ + ParameterRule( + name="temperature", + use_template="temperature", + label=I18nObject(en_US="Temperature", zh_Hans="温度"), + type=ParameterType.FLOAT, + ), + ParameterRule( + name="max_tokens", + use_template="max_tokens", + default=512, + min=1, + max=int(credentials.get("max_tokens", 4096)), + label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"), + type=ParameterType.INT, + ), + ParameterRule( + name="top_p", + use_template="top_p", + label=I18nObject(en_US="Top P", zh_Hans="Top P"), + type=ParameterType.FLOAT, + ), + ParameterRule( + name="top_k", + use_template="top_k", + label=I18nObject(en_US="Top K", zh_Hans="Top K"), + type=ParameterType.FLOAT, + ), + ], + ) diff --git a/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml b/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml new file mode 100644 index 0000000000..9728364340 --- /dev/null +++ b/api/core/model_runtime/model_providers/fireworks/llm/qwen2p5-72b-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/qwen2p5-72b-instruct +label: + zh_Hans: Qwen2.5 72B Instruct + en_US: Qwen2.5 72B Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.9' + output: '0.9' + unit: '0.000001' + currency: USD diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml index d84e9937e0..8d8cd24847 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-001.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml index 2ff70564b2..ae6b85cb23 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-002.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml index 4e0209890a..bbc697e934 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0827.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml index 2aea8149f4..890faf8c3f 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml index faabc5e4d1..c5695e5dda 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-exp-0827.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml index a22fcca941..d1c264c3a7 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash-latest.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml index dfd55c3a94..6b794e9bee 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-flash.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml index a1feff171d..9ac5e3ad1b 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-001.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml index 9ae07a06c5..f1d01d0763 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-002.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml index 97c68f7a18..0a918e0d7b 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0801.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml index 860e4816a1..7452ce46e7 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-exp-0827.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml index d1bf7d269d..65c2d97e92 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro-latest.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml index bdd70b34a2..12620b57b6 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-1.5-pro.yaml @@ -32,15 +32,6 @@ parameter_rules: max: 8192 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml index 2d213d56ad..075e484e46 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml @@ -27,15 +27,6 @@ parameter_rules: default: 4096 min: 1 max: 4096 - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml b/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml index e2f487c1ee..4e9f59e7da 100644 --- a/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml +++ b/api/core/model_runtime/model_providers/google/llm/gemini-pro.yaml @@ -31,15 +31,6 @@ parameter_rules: max: 2048 - name: response_format use_template: response_format - - name: stream - label: - zh_Hans: 流式输出 - en_US: Stream - type: boolean - help: - zh_Hans: 流式输出允许模型在生成文本的过程中逐步返回结果，而不是一次性生成全部结果后再返回。 - en_US: Streaming output allows the model to return results incrementally as it generates text, rather than generating all the results at once. - default: false pricing: input: '0.00' output: '0.00' diff --git a/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml b/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml new file mode 100644 index 0000000000..cc8a3aa0ec --- /dev/null +++ b/api/core/model_runtime/model_providers/minimax/llm/abab6.5t-chat.yaml @@ -0,0 +1,44 @@ +model: abab6.5t-chat +label: + en_US: Abab6.5t-Chat +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.01 + max: 1 + default: 0.9 + - name: top_p + use_template: top_p + min: 0.01 + max: 1 + default: 0.95 + - name: max_tokens + use_template: max_tokens + required: true + default: 3072 + min: 1 + max: 8192 + - name: mask_sensitive_info + type: boolean + default: true + label: + zh_Hans: 隐私保护 + en_US: Moderate + help: + zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 + en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.005' + output: '0.005' + unit: '0.001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py index 74d2a221d1..d031bfa04d 100644 --- a/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/minimax/text_embedding/text_embedding.py @@ -61,7 +61,8 @@ class MinimaxTextEmbeddingModel(TextEmbeddingModel): url = f"{self.api_base}?GroupId={group_id}" headers = {"Authorization": "Bearer " + api_key, "Content-Type": "application/json"} - data = {"model": "embo-01", "texts": texts, "type": "db"} + embedding_type = "db" if input_type == EmbeddingInputType.DOCUMENT else "query" + data = {"model": "embo-01", "texts": texts, "type": embedding_type} try: response = post(url, headers=headers, data=dumps(data)) diff --git a/api/core/model_runtime/model_providers/openai/openai.py b/api/core/model_runtime/model_providers/openai/openai.py index 175d7db73c..aa6f38ce9f 100644 --- a/api/core/model_runtime/model_providers/openai/openai.py +++ b/api/core/model_runtime/model_providers/openai/openai.py @@ -19,9 +19,9 @@ class OpenAIProvider(ModelProvider): try: model_instance = self.get_model_instance(ModelType.LLM) - # Use `gpt-3.5-turbo` model for validate, + # Use `gpt-4o-mini` model for validate, # no matter what model you pass in, text completion model or chat model - model_instance.validate_credentials(model="gpt-3.5-turbo", credentials=credentials) + model_instance.validate_credentials(model="gpt-4o-mini", credentials=credentials) except CredentialsValidateFailedError as ex: raise ex except Exception as ex: diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml index fcd5c5ef64..049fae6c16 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/chatglm_turbo.yaml @@ -28,15 +28,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: return_type label: zh_Hans: 回复类型 @@ -49,3 +40,4 @@ parameter_rules: options: - text - json_string +deprecated: true diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml index 7fcf692202..7c8da51d1b 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml index fcd7c7768c..7a7b4b0892 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml index c9ae5abf19..09ad842801 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml index 98c4f72c72..aee82a0602 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml new file mode 100644 index 0000000000..40ff7609c7 --- /dev/null +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml @@ -0,0 +1,53 @@ +model: glm-4-flashx +label: + en_US: glm-4-flashx +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: do_sample + label: + zh_Hans: 采样策略 + en_US: Sampling strategy + type: boolean + help: + zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 + en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. + default: true + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 4095 + - name: web_search + type: boolean + label: + zh_Hans: 联网搜索 + en_US: Web Search + default: false + help: + zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 + en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. +pricing: + input: '0' + output: '0' + unit: '0.001' + currency: RMB diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml index 0b5391ce2f..791a77ba15 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml index 62f453fb77..13ed1e49c9 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml index 350b080c3f..badcee22db 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml @@ -35,15 +35,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml index 2d7ebd71cf..e2f785e1bc 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml @@ -32,15 +32,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml index 3a1120ff37..3baa298300 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml @@ -30,15 +30,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml index 14b9623e5a..91550ceee8 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml @@ -30,15 +30,6 @@ parameter_rules: zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. default: true - - name: stream - label: - zh_Hans: 流处理 - en_US: Event Stream - type: boolean - help: - zh_Hans: 使用同步调用时，此参数应当设置为 fasle 或者省略。表示模型生成完所有内容后一次性返回所有内容。默认值为 false。如果设置为 true，模型将通过标准 Event Stream ，逐块返回模型生成内容。Event Stream 结束时会返回一条data：[DONE]消息。注意：在模型流式输出生成内容的过程中，我们会分批对模型生成内容进行检测，当检测到违法及不良信息时，API会返回错误码（1301）。开发者识别到错误码（1301），应及时采取（清屏、重启对话）等措施删除生成内容，并确保不将含有违法及不良信息的内容传递给模型继续生成，避免其造成负面影响。 - en_US: When using synchronous invocation, this parameter should be set to false or omitted. It indicates that the model will return all the generated content at once after the generation is complete. The default value is false. If set to true, the model will return the generated content in chunks via the standard Event Stream. A data：[DONE] message will be sent at the end of the Event Stream.Note：During the model's streaming output process, we will batch check the generated content. If illegal or harmful information is detected, the API will return an error code (1301). Developers who identify error code (1301) should promptly take actions such as clearing the screen or restarting the conversation to delete the generated content. They should also ensure that no illegal or harmful content is passed back to the model for continued generation to avoid negative impacts. - default: false - name: max_tokens use_template: max_tokens default: 1024 diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py index e0c4980523..43bffad2a0 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py +++ b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py @@ -1,6 +1,10 @@ from collections.abc import Generator from typing import Optional, Union +from zhipuai import ZhipuAI +from zhipuai.types.chat.chat_completion import Completion +from zhipuai.types.chat.chat_completion_chunk import ChatCompletionChunk + from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, @@ -16,9 +20,6 @@ from core.model_runtime.entities.message_entities import ( from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI -from core.model_runtime.model_providers.zhipuai.zhipuai_sdk._client import ZhipuAI -from core.model_runtime.model_providers.zhipuai.zhipuai_sdk.types.chat.chat_completion import Completion -from core.model_runtime.model_providers.zhipuai.zhipuai_sdk.types.chat.chat_completion_chunk import ChatCompletionChunk from core.model_runtime.utils import helper GLM_JSON_MODE_PROMPT = """You should always follow the instructions and output a valid JSON object. diff --git a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py b/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py index 14a529dddf..5a34a3d593 100644 --- a/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py +++ b/api/core/model_runtime/model_providers/zhipuai/text_embedding/text_embedding.py @@ -1,13 +1,14 @@ import time from typing import Optional +from zhipuai import ZhipuAI + from core.embedding.embedding_constant import EmbeddingInputType from core.model_runtime.entities.model_entities import PriceType from core.model_runtime.entities.text_embedding_entities import EmbeddingUsage, TextEmbeddingResult from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.__base.text_embedding_model import TextEmbeddingModel from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI -from core.model_runtime.model_providers.zhipuai.zhipuai_sdk._client import ZhipuAI class ZhipuAITextEmbeddingModel(_CommonZhipuaiAI, TextEmbeddingModel): diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/__init__.py deleted file mode 100644 index fc71d64714..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -from .__version__ import __version__ -from ._client import ZhipuAI -from .core import ( - APIAuthenticationError, - APIConnectionError, - APIInternalError, - APIReachLimitError, - APIRequestFailedError, - APIResponseError, - APIResponseValidationError, - APIServerFlowExceedError, - APIStatusError, - APITimeoutError, - ZhipuAIError, -) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/__version__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/__version__.py deleted file mode 100644 index 51f8c49ecb..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/__version__.py +++ /dev/null @@ -1 +0,0 @@ -__version__ = "v2.1.0" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/_client.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/_client.py deleted file mode 100644 index 705d371e62..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/_client.py +++ /dev/null @@ -1,82 +0,0 @@ -from __future__ import annotations - -import os -from collections.abc import Mapping -from typing import Union - -import httpx -from httpx import Timeout -from typing_extensions import override - -from . import api_resource -from .core import NOT_GIVEN, ZHIPUAI_DEFAULT_MAX_RETRIES, HttpClient, NotGiven, ZhipuAIError, _jwt_token - - -class ZhipuAI(HttpClient): - chat: api_resource.chat.Chat - api_key: str - _disable_token_cache: bool = True - - def __init__( - self, - *, - api_key: str | None = None, - base_url: str | httpx.URL | None = None, - timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, - max_retries: int = ZHIPUAI_DEFAULT_MAX_RETRIES, - http_client: httpx.Client | None = None, - custom_headers: Mapping[str, str] | None = None, - disable_token_cache: bool = True, - _strict_response_validation: bool = False, - ) -> None: - if api_key is None: - api_key = os.environ.get("ZHIPUAI_API_KEY") - if api_key is None: - raise ZhipuAIError("未提供api_key，请通过参数或环境变量提供") - self.api_key = api_key - self._disable_token_cache = disable_token_cache - - if base_url is None: - base_url = os.environ.get("ZHIPUAI_BASE_URL") - if base_url is None: - base_url = "https://open.bigmodel.cn/api/paas/v4" - from .__version__ import __version__ - - super().__init__( - version=__version__, - base_url=base_url, - max_retries=max_retries, - timeout=timeout, - custom_httpx_client=http_client, - custom_headers=custom_headers, - _strict_response_validation=_strict_response_validation, - ) - self.chat = api_resource.chat.Chat(self) - self.images = api_resource.images.Images(self) - self.embeddings = api_resource.embeddings.Embeddings(self) - self.files = api_resource.files.Files(self) - self.fine_tuning = api_resource.fine_tuning.FineTuning(self) - self.batches = api_resource.Batches(self) - self.knowledge = api_resource.Knowledge(self) - self.tools = api_resource.Tools(self) - self.videos = api_resource.Videos(self) - self.assistant = api_resource.Assistant(self) - - @property - @override - def auth_headers(self) -> dict[str, str]: - api_key = self.api_key - if self._disable_token_cache: - return {"Authorization": f"Bearer {api_key}"} - else: - return {"Authorization": f"Bearer {_jwt_token.generate_token(api_key)}"} - - def __del__(self) -> None: - if not hasattr(self, "_has_custom_http_client") or not hasattr(self, "close") or not hasattr(self, "_client"): - # if the '__init__' method raised an error, self would not have client attr - return - - if self._has_custom_http_client: - return - - self.close() diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/__init__.py deleted file mode 100644 index 4fe0719dde..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/__init__.py +++ /dev/null @@ -1,34 +0,0 @@ -from .assistant import ( - Assistant, -) -from .batches import Batches -from .chat import ( - AsyncCompletions, - Chat, - Completions, -) -from .embeddings import Embeddings -from .files import Files, FilesWithRawResponse -from .fine_tuning import FineTuning -from .images import Images -from .knowledge import Knowledge -from .tools import Tools -from .videos import ( - Videos, -) - -__all__ = [ - "Videos", - "AsyncCompletions", - "Chat", - "Completions", - "Images", - "Embeddings", - "Files", - "FilesWithRawResponse", - "FineTuning", - "Batches", - "Knowledge", - "Tools", - "Assistant", -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/assistant/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/assistant/__init__.py deleted file mode 100644 index ce619aa7f0..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/assistant/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .assistant import Assistant - -__all__ = ["Assistant"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/assistant/assistant.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/assistant/assistant.py deleted file mode 100644 index c29b057498..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/assistant/assistant.py +++ /dev/null @@ -1,122 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Optional - -import httpx - -from ...core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - StreamResponse, - deepcopy_minimal, - make_request_options, - maybe_transform, -) -from ...types.assistant import AssistantCompletion -from ...types.assistant.assistant_conversation_resp import ConversationUsageListResp -from ...types.assistant.assistant_support_resp import AssistantSupportResp - -if TYPE_CHECKING: - from ..._client import ZhipuAI - -from ...types.assistant import assistant_conversation_params, assistant_create_params - -__all__ = ["Assistant"] - - -class Assistant(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def conversation( - self, - assistant_id: str, - model: str, - messages: list[assistant_create_params.ConversationMessage], - *, - stream: bool = True, - conversation_id: Optional[str] = None, - attachments: Optional[list[assistant_create_params.AssistantAttachments]] = None, - metadata: dict | None = None, - request_id: Optional[str] = None, - user_id: Optional[str] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> StreamResponse[AssistantCompletion]: - body = deepcopy_minimal( - { - "assistant_id": assistant_id, - "model": model, - "messages": messages, - "stream": stream, - "conversation_id": conversation_id, - "attachments": attachments, - "metadata": metadata, - "request_id": request_id, - "user_id": user_id, - } - ) - return self._post( - "/assistant", - body=maybe_transform(body, assistant_create_params.AssistantParameters), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=AssistantCompletion, - stream=stream or True, - stream_cls=StreamResponse[AssistantCompletion], - ) - - def query_support( - self, - *, - assistant_id_list: Optional[list[str]] = None, - request_id: Optional[str] = None, - user_id: Optional[str] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> AssistantSupportResp: - body = deepcopy_minimal( - { - "assistant_id_list": assistant_id_list, - "request_id": request_id, - "user_id": user_id, - } - ) - return self._post( - "/assistant/list", - body=body, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=AssistantSupportResp, - ) - - def query_conversation_usage( - self, - assistant_id: str, - page: int = 1, - page_size: int = 10, - *, - request_id: Optional[str] = None, - user_id: Optional[str] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> ConversationUsageListResp: - body = deepcopy_minimal( - { - "assistant_id": assistant_id, - "page": page, - "page_size": page_size, - "request_id": request_id, - "user_id": user_id, - } - ) - return self._post( - "/assistant/conversation/list", - body=maybe_transform(body, assistant_conversation_params.ConversationParameters), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=ConversationUsageListResp, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/batches.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/batches.py deleted file mode 100644 index ae2f2be85e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/batches.py +++ /dev/null @@ -1,146 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Literal, Optional - -import httpx - -from ..core import NOT_GIVEN, BaseAPI, Body, Headers, NotGiven, make_request_options, maybe_transform -from ..core.pagination import SyncCursorPage -from ..types import batch_create_params, batch_list_params -from ..types.batch import Batch - -if TYPE_CHECKING: - from .._client import ZhipuAI - - -class Batches(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - completion_window: str | None = None, - endpoint: Literal["/v1/chat/completions", "/v1/embeddings"], - input_file_id: str, - metadata: Optional[dict[str, str]] | NotGiven = NOT_GIVEN, - auto_delete_input_file: bool = True, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> Batch: - return self._post( - "/batches", - body=maybe_transform( - { - "completion_window": completion_window, - "endpoint": endpoint, - "input_file_id": input_file_id, - "metadata": metadata, - "auto_delete_input_file": auto_delete_input_file, - }, - batch_create_params.BatchCreateParams, - ), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=Batch, - ) - - def retrieve( - self, - batch_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> Batch: - """ - Retrieves a batch. - - Args: - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not batch_id: - raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}") - return self._get( - f"/batches/{batch_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=Batch, - ) - - def list( - self, - *, - after: str | NotGiven = NOT_GIVEN, - limit: int | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> SyncCursorPage[Batch]: - """List your organization's batches. - - Args: - after: A cursor for use in pagination. - - `after` is an object ID that defines your place - in the list. For instance, if you make a list request and receive 100 objects, - ending with obj_foo, your subsequent call can include after=obj_foo in order to - fetch the next page of the list. - - limit: A limit on the number of objects to be returned. Limit can range between 1 and - 100, and the default is 20. - - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return self._get_api_list( - "/batches", - page=SyncCursorPage[Batch], - options=make_request_options( - extra_headers=extra_headers, - extra_body=extra_body, - timeout=timeout, - query=maybe_transform( - { - "after": after, - "limit": limit, - }, - batch_list_params.BatchListParams, - ), - ), - model=Batch, - ) - - def cancel( - self, - batch_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> Batch: - """ - Cancels an in-progress batch. - - Args: - batch_id: The ID of the batch to cancel. - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - - """ - if not batch_id: - raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}") - return self._post( - f"/batches/{batch_id}/cancel", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=Batch, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/__init__.py deleted file mode 100644 index 5cd8dc6f33..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from .async_completions import AsyncCompletions -from .chat import Chat -from .completions import Completions - -__all__ = ["AsyncCompletions", "Chat", "Completions"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/async_completions.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/async_completions.py deleted file mode 100644 index 05510a3ec4..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/async_completions.py +++ /dev/null @@ -1,115 +0,0 @@ -from __future__ import annotations - -import logging -from typing import TYPE_CHECKING, Literal, Optional, Union - -import httpx - -from ...core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - drop_prefix_image_data, - make_request_options, - maybe_transform, -) -from ...types.chat.async_chat_completion import AsyncCompletion, AsyncTaskStatus -from ...types.chat.code_geex import code_geex_params -from ...types.sensitive_word_check import SensitiveWordCheckRequest - -logger = logging.getLogger(__name__) - -if TYPE_CHECKING: - from ..._client import ZhipuAI - - -class AsyncCompletions(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - model: str, - request_id: Optional[str] | NotGiven = NOT_GIVEN, - user_id: Optional[str] | NotGiven = NOT_GIVEN, - do_sample: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN, - temperature: Optional[float] | NotGiven = NOT_GIVEN, - top_p: Optional[float] | NotGiven = NOT_GIVEN, - max_tokens: int | NotGiven = NOT_GIVEN, - seed: int | NotGiven = NOT_GIVEN, - messages: Union[str, list[str], list[int], list[list[int]], None], - stop: Optional[Union[str, list[str], None]] | NotGiven = NOT_GIVEN, - sensitive_word_check: Optional[SensitiveWordCheckRequest] | NotGiven = NOT_GIVEN, - tools: Optional[object] | NotGiven = NOT_GIVEN, - tool_choice: str | NotGiven = NOT_GIVEN, - meta: Optional[dict[str, str]] | NotGiven = NOT_GIVEN, - extra: Optional[code_geex_params.CodeGeexExtra] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> AsyncTaskStatus: - _cast_type = AsyncTaskStatus - logger.debug(f"temperature:{temperature}, top_p:{top_p}") - if temperature is not None and temperature != NOT_GIVEN: - if temperature <= 0: - do_sample = False - temperature = 0.01 - # logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间，do_sample重写为:false（参数top_p temperature不生效）") # noqa: E501 - if temperature >= 1: - temperature = 0.99 - # logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间") - if top_p is not None and top_p != NOT_GIVEN: - if top_p >= 1: - top_p = 0.99 - # logger.warning("top_p:取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1") - if top_p <= 0: - top_p = 0.01 - # logger.warning("top_p:取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1") - - logger.debug(f"temperature:{temperature}, top_p:{top_p}") - if isinstance(messages, list): - for item in messages: - if item.get("content"): - item["content"] = drop_prefix_image_data(item["content"]) - - body = { - "model": model, - "request_id": request_id, - "user_id": user_id, - "temperature": temperature, - "top_p": top_p, - "do_sample": do_sample, - "max_tokens": max_tokens, - "seed": seed, - "messages": messages, - "stop": stop, - "sensitive_word_check": sensitive_word_check, - "tools": tools, - "tool_choice": tool_choice, - "meta": meta, - "extra": maybe_transform(extra, code_geex_params.CodeGeexExtra), - } - return self._post( - "/async/chat/completions", - body=body, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=_cast_type, - stream=False, - ) - - def retrieve_completion_result( - self, - id: str, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> Union[AsyncCompletion, AsyncTaskStatus]: - _cast_type = Union[AsyncCompletion, AsyncTaskStatus] - return self._get( - path=f"/async-result/{id}", - cast_type=_cast_type, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/chat.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/chat.py deleted file mode 100644 index b3cc46566c..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/chat.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import TYPE_CHECKING - -from ...core import BaseAPI, cached_property -from .async_completions import AsyncCompletions -from .completions import Completions - -if TYPE_CHECKING: - pass - - -class Chat(BaseAPI): - @cached_property - def completions(self) -> Completions: - return Completions(self._client) - - @cached_property - def asyncCompletions(self) -> AsyncCompletions: # noqa: N802 - return AsyncCompletions(self._client) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/completions.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/completions.py deleted file mode 100644 index 8e5bb454e6..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/completions.py +++ /dev/null @@ -1,108 +0,0 @@ -from __future__ import annotations - -import logging -from typing import TYPE_CHECKING, Literal, Optional, Union - -import httpx - -from ...core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - StreamResponse, - deepcopy_minimal, - drop_prefix_image_data, - make_request_options, - maybe_transform, -) -from ...types.chat.chat_completion import Completion -from ...types.chat.chat_completion_chunk import ChatCompletionChunk -from ...types.chat.code_geex import code_geex_params -from ...types.sensitive_word_check import SensitiveWordCheckRequest - -logger = logging.getLogger(__name__) - -if TYPE_CHECKING: - from ..._client import ZhipuAI - - -class Completions(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - model: str, - request_id: Optional[str] | NotGiven = NOT_GIVEN, - user_id: Optional[str] | NotGiven = NOT_GIVEN, - do_sample: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN, - stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN, - temperature: Optional[float] | NotGiven = NOT_GIVEN, - top_p: Optional[float] | NotGiven = NOT_GIVEN, - max_tokens: int | NotGiven = NOT_GIVEN, - seed: int | NotGiven = NOT_GIVEN, - messages: Union[str, list[str], list[int], object, None], - stop: Optional[Union[str, list[str], None]] | NotGiven = NOT_GIVEN, - sensitive_word_check: Optional[SensitiveWordCheckRequest] | NotGiven = NOT_GIVEN, - tools: Optional[object] | NotGiven = NOT_GIVEN, - tool_choice: str | NotGiven = NOT_GIVEN, - meta: Optional[dict[str, str]] | NotGiven = NOT_GIVEN, - extra: Optional[code_geex_params.CodeGeexExtra] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> Completion | StreamResponse[ChatCompletionChunk]: - logger.debug(f"temperature:{temperature}, top_p:{top_p}") - if temperature is not None and temperature != NOT_GIVEN: - if temperature <= 0: - do_sample = False - temperature = 0.01 - # logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间，do_sample重写为:false（参数top_p temperature不生效）") # noqa: E501 - if temperature >= 1: - temperature = 0.99 - # logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间") - if top_p is not None and top_p != NOT_GIVEN: - if top_p >= 1: - top_p = 0.99 - # logger.warning("top_p:取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1") - if top_p <= 0: - top_p = 0.01 - # logger.warning("top_p:取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1") - - logger.debug(f"temperature:{temperature}, top_p:{top_p}") - if isinstance(messages, list): - for item in messages: - if item.get("content"): - item["content"] = drop_prefix_image_data(item["content"]) - - body = deepcopy_minimal( - { - "model": model, - "request_id": request_id, - "user_id": user_id, - "temperature": temperature, - "top_p": top_p, - "do_sample": do_sample, - "max_tokens": max_tokens, - "seed": seed, - "messages": messages, - "stop": stop, - "sensitive_word_check": sensitive_word_check, - "stream": stream, - "tools": tools, - "tool_choice": tool_choice, - "meta": meta, - "extra": maybe_transform(extra, code_geex_params.CodeGeexExtra), - } - ) - return self._post( - "/chat/completions", - body=body, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=Completion, - stream=stream or False, - stream_cls=StreamResponse[ChatCompletionChunk], - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/embeddings.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/embeddings.py deleted file mode 100644 index 4b4baef942..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/embeddings.py +++ /dev/null @@ -1,50 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Optional, Union - -import httpx - -from ..core import NOT_GIVEN, BaseAPI, Body, Headers, NotGiven, make_request_options -from ..types.embeddings import EmbeddingsResponded - -if TYPE_CHECKING: - from .._client import ZhipuAI - - -class Embeddings(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - input: Union[str, list[str], list[int], list[list[int]]], - model: Union[str], - dimensions: Union[int] | NotGiven = NOT_GIVEN, - encoding_format: str | NotGiven = NOT_GIVEN, - user: str | NotGiven = NOT_GIVEN, - request_id: Optional[str] | NotGiven = NOT_GIVEN, - sensitive_word_check: Optional[object] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - disable_strict_validation: Optional[bool] | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> EmbeddingsResponded: - _cast_type = EmbeddingsResponded - if disable_strict_validation: - _cast_type = object - return self._post( - "/embeddings", - body={ - "input": input, - "model": model, - "dimensions": dimensions, - "encoding_format": encoding_format, - "user": user, - "request_id": request_id, - "sensitive_word_check": sensitive_word_check, - }, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=_cast_type, - stream=False, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/files.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/files.py deleted file mode 100644 index c723f6f66e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/files.py +++ /dev/null @@ -1,194 +0,0 @@ -from __future__ import annotations - -from collections.abc import Mapping -from typing import TYPE_CHECKING, Literal, Optional, cast - -import httpx - -from ..core import ( - NOT_GIVEN, - BaseAPI, - Body, - FileTypes, - Headers, - NotGiven, - _legacy_binary_response, - _legacy_response, - deepcopy_minimal, - extract_files, - make_request_options, - maybe_transform, -) -from ..types.files import FileDeleted, FileObject, ListOfFileObject, UploadDetail, file_create_params - -if TYPE_CHECKING: - from .._client import ZhipuAI - -__all__ = ["Files", "FilesWithRawResponse"] - - -class Files(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - file: Optional[FileTypes] = None, - upload_detail: Optional[list[UploadDetail]] = None, - purpose: Literal["fine-tune", "retrieval", "batch"], - knowledge_id: Optional[str] = None, - sentence_size: Optional[int] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FileObject: - if not file and not upload_detail: - raise ValueError("At least one of `file` and `upload_detail` must be provided.") - body = deepcopy_minimal( - { - "file": file, - "upload_detail": upload_detail, - "purpose": purpose, - "knowledge_id": knowledge_id, - "sentence_size": sentence_size, - } - ) - files = extract_files(cast(Mapping[str, object], body), paths=[["file"]]) - if files: - # It should be noted that the actual Content-Type header that will be - # sent to the server will contain a `boundary` parameter, e.g. - # multipart/form-data; boundary=---abc-- - extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})} - return self._post( - "/files", - body=maybe_transform(body, file_create_params.FileCreateParams), - files=files, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FileObject, - ) - - # def retrieve( - # self, - # file_id: str, - # *, - # extra_headers: Headers | None = None, - # extra_body: Body | None = None, - # timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - # ) -> FileObject: - # """ - # Returns information about a specific file. - # - # Args: - # file_id: The ID of the file to retrieve information about - # extra_headers: Send extra headers - # - # extra_body: Add additional JSON properties to the request - # - # timeout: Override the client-level default timeout for this request, in seconds - # """ - # if not file_id: - # raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}") - # return self._get( - # f"/files/{file_id}", - # options=make_request_options( - # extra_headers=extra_headers, extra_body=extra_body, timeout=timeout - # ), - # cast_type=FileObject, - # ) - - def list( - self, - *, - purpose: str | NotGiven = NOT_GIVEN, - limit: int | NotGiven = NOT_GIVEN, - after: str | NotGiven = NOT_GIVEN, - order: str | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> ListOfFileObject: - return self._get( - "/files", - cast_type=ListOfFileObject, - options=make_request_options( - extra_headers=extra_headers, - extra_body=extra_body, - timeout=timeout, - query={ - "purpose": purpose, - "limit": limit, - "after": after, - "order": order, - }, - ), - ) - - def delete( - self, - file_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FileDeleted: - """ - Delete a file. - - Args: - file_id: The ID of the file to delete - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not file_id: - raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}") - return self._delete( - f"/files/{file_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FileDeleted, - ) - - def content( - self, - file_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> _legacy_response.HttpxBinaryResponseContent: - """ - Returns the contents of the specified file. - - Args: - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not file_id: - raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}") - extra_headers = {"Accept": "application/binary", **(extra_headers or {})} - return self._get( - f"/files/{file_id}/content", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=_legacy_binary_response.HttpxBinaryResponseContent, - ) - - -class FilesWithRawResponse: - def __init__(self, files: Files) -> None: - self._files = files - - self.create = _legacy_response.to_raw_response_wrapper( - files.create, - ) - self.list = _legacy_response.to_raw_response_wrapper( - files.list, - ) - self.content = _legacy_response.to_raw_response_wrapper( - files.content, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/__init__.py deleted file mode 100644 index 7c309b8341..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from .fine_tuning import FineTuning -from .jobs import Jobs -from .models import FineTunedModels - -__all__ = ["Jobs", "FineTunedModels", "FineTuning"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/fine_tuning.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/fine_tuning.py deleted file mode 100644 index 8670f7de00..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/fine_tuning.py +++ /dev/null @@ -1,18 +0,0 @@ -from typing import TYPE_CHECKING - -from ...core import BaseAPI, cached_property -from .jobs import Jobs -from .models import FineTunedModels - -if TYPE_CHECKING: - pass - - -class FineTuning(BaseAPI): - @cached_property - def jobs(self) -> Jobs: - return Jobs(self._client) - - @cached_property - def models(self) -> FineTunedModels: - return FineTunedModels(self._client) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/jobs/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/jobs/__init__.py deleted file mode 100644 index 40777a153f..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/jobs/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .jobs import Jobs - -__all__ = ["Jobs"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/jobs/jobs.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/jobs/jobs.py deleted file mode 100644 index 8b038cadc0..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/jobs/jobs.py +++ /dev/null @@ -1,152 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Optional - -import httpx - -from ....core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - make_request_options, -) -from ....types.fine_tuning import ( - FineTuningJob, - FineTuningJobEvent, - ListOfFineTuningJob, - job_create_params, -) - -if TYPE_CHECKING: - from ...._client import ZhipuAI - -__all__ = ["Jobs"] - - -class Jobs(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - model: str, - training_file: str, - hyperparameters: job_create_params.Hyperparameters | NotGiven = NOT_GIVEN, - suffix: Optional[str] | NotGiven = NOT_GIVEN, - request_id: Optional[str] | NotGiven = NOT_GIVEN, - validation_file: Optional[str] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FineTuningJob: - return self._post( - "/fine_tuning/jobs", - body={ - "model": model, - "training_file": training_file, - "hyperparameters": hyperparameters, - "suffix": suffix, - "validation_file": validation_file, - "request_id": request_id, - }, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FineTuningJob, - ) - - def retrieve( - self, - fine_tuning_job_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FineTuningJob: - return self._get( - f"/fine_tuning/jobs/{fine_tuning_job_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FineTuningJob, - ) - - def list( - self, - *, - after: str | NotGiven = NOT_GIVEN, - limit: int | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> ListOfFineTuningJob: - return self._get( - "/fine_tuning/jobs", - cast_type=ListOfFineTuningJob, - options=make_request_options( - extra_headers=extra_headers, - extra_body=extra_body, - timeout=timeout, - query={ - "after": after, - "limit": limit, - }, - ), - ) - - def cancel( - self, - fine_tuning_job_id: str, - *, - # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # noqa: E501 - # The extra values given here take precedence over values defined on the client or passed to this method. - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FineTuningJob: - if not fine_tuning_job_id: - raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}") - return self._post( - f"/fine_tuning/jobs/{fine_tuning_job_id}/cancel", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FineTuningJob, - ) - - def list_events( - self, - fine_tuning_job_id: str, - *, - after: str | NotGiven = NOT_GIVEN, - limit: int | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FineTuningJobEvent: - return self._get( - f"/fine_tuning/jobs/{fine_tuning_job_id}/events", - cast_type=FineTuningJobEvent, - options=make_request_options( - extra_headers=extra_headers, - extra_body=extra_body, - timeout=timeout, - query={ - "after": after, - "limit": limit, - }, - ), - ) - - def delete( - self, - fine_tuning_job_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FineTuningJob: - if not fine_tuning_job_id: - raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}") - return self._delete( - f"/fine_tuning/jobs/{fine_tuning_job_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FineTuningJob, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/models/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/models/__init__.py deleted file mode 100644 index d832635baf..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/models/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .fine_tuned_models import FineTunedModels - -__all__ = ["FineTunedModels"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/models/fine_tuned_models.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/models/fine_tuned_models.py deleted file mode 100644 index 29c023e3b1..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/fine_tuning/models/fine_tuned_models.py +++ /dev/null @@ -1,41 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING - -import httpx - -from ....core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - make_request_options, -) -from ....types.fine_tuning.models import FineTunedModelsStatus - -if TYPE_CHECKING: - from ...._client import ZhipuAI - -__all__ = ["FineTunedModels"] - - -class FineTunedModels(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def delete( - self, - fine_tuned_model: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> FineTunedModelsStatus: - if not fine_tuned_model: - raise ValueError(f"Expected a non-empty value for `fine_tuned_model` but received {fine_tuned_model!r}") - return self._delete( - f"fine_tuning/fine_tuned_models/{fine_tuned_model}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=FineTunedModelsStatus, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/images.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/images.py deleted file mode 100644 index 8ad411913f..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/images.py +++ /dev/null @@ -1,59 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Optional - -import httpx - -from ..core import NOT_GIVEN, BaseAPI, Body, Headers, NotGiven, make_request_options -from ..types.image import ImagesResponded -from ..types.sensitive_word_check import SensitiveWordCheckRequest - -if TYPE_CHECKING: - from .._client import ZhipuAI - - -class Images(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def generations( - self, - *, - prompt: str, - model: str | NotGiven = NOT_GIVEN, - n: Optional[int] | NotGiven = NOT_GIVEN, - quality: Optional[str] | NotGiven = NOT_GIVEN, - response_format: Optional[str] | NotGiven = NOT_GIVEN, - size: Optional[str] | NotGiven = NOT_GIVEN, - style: Optional[str] | NotGiven = NOT_GIVEN, - sensitive_word_check: Optional[SensitiveWordCheckRequest] | NotGiven = NOT_GIVEN, - user: str | NotGiven = NOT_GIVEN, - request_id: Optional[str] | NotGiven = NOT_GIVEN, - user_id: Optional[str] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - disable_strict_validation: Optional[bool] | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> ImagesResponded: - _cast_type = ImagesResponded - if disable_strict_validation: - _cast_type = object - return self._post( - "/images/generations", - body={ - "prompt": prompt, - "model": model, - "n": n, - "quality": quality, - "response_format": response_format, - "sensitive_word_check": sensitive_word_check, - "size": size, - "style": style, - "user": user, - "user_id": user_id, - "request_id": request_id, - }, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=_cast_type, - stream=False, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/__init__.py deleted file mode 100644 index 5a67d743c3..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .knowledge import Knowledge - -__all__ = ["Knowledge"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/document/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/document/__init__.py deleted file mode 100644 index fd289e2232..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/document/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .document import Document - -__all__ = ["Document"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/document/document.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/document/document.py deleted file mode 100644 index 492c49da66..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/document/document.py +++ /dev/null @@ -1,217 +0,0 @@ -from __future__ import annotations - -from collections.abc import Mapping -from typing import TYPE_CHECKING, Literal, Optional, cast - -import httpx - -from ....core import ( - NOT_GIVEN, - BaseAPI, - Body, - FileTypes, - Headers, - NotGiven, - deepcopy_minimal, - extract_files, - make_request_options, - maybe_transform, -) -from ....types.files import UploadDetail, file_create_params -from ....types.knowledge.document import DocumentData, DocumentObject, document_edit_params, document_list_params -from ....types.knowledge.document.document_list_resp import DocumentPage - -if TYPE_CHECKING: - from ...._client import ZhipuAI - -__all__ = ["Document"] - - -class Document(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def create( - self, - *, - file: Optional[FileTypes] = None, - custom_separator: Optional[list[str]] = None, - upload_detail: Optional[list[UploadDetail]] = None, - purpose: Literal["retrieval"], - knowledge_id: Optional[str] = None, - sentence_size: Optional[int] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> DocumentObject: - if not file and not upload_detail: - raise ValueError("At least one of `file` and `upload_detail` must be provided.") - body = deepcopy_minimal( - { - "file": file, - "upload_detail": upload_detail, - "purpose": purpose, - "custom_separator": custom_separator, - "knowledge_id": knowledge_id, - "sentence_size": sentence_size, - } - ) - files = extract_files(cast(Mapping[str, object], body), paths=[["file"]]) - if files: - # It should be noted that the actual Content-Type header that will be - # sent to the server will contain a `boundary` parameter, e.g. - # multipart/form-data; boundary=---abc-- - extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})} - return self._post( - "/files", - body=maybe_transform(body, file_create_params.FileCreateParams), - files=files, - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=DocumentObject, - ) - - def edit( - self, - document_id: str, - knowledge_type: str, - *, - custom_separator: Optional[list[str]] = None, - sentence_size: Optional[int] = None, - callback_url: Optional[str] = None, - callback_header: Optional[dict[str, str]] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> httpx.Response: - """ - - Args: - document_id: 知识id - knowledge_type: 知识类型: - 1:文章知识: 支持pdf,url,docx - 2.问答知识-文档: 支持pdf,url,docx - 3.问答知识-表格: 支持xlsx - 4.商品库-表格: 支持xlsx - 5.自定义: 支持pdf,url,docx - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - :param knowledge_type: - :param document_id: - :param timeout: - :param extra_body: - :param callback_header: - :param sentence_size: - :param extra_headers: - :param callback_url: - :param custom_separator: - """ - if not document_id: - raise ValueError(f"Expected a non-empty value for `document_id` but received {document_id!r}") - - body = deepcopy_minimal( - { - "id": document_id, - "knowledge_type": knowledge_type, - "custom_separator": custom_separator, - "sentence_size": sentence_size, - "callback_url": callback_url, - "callback_header": callback_header, - } - ) - - return self._put( - f"/document/{document_id}", - body=maybe_transform(body, document_edit_params.DocumentEditParams), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=httpx.Response, - ) - - def list( - self, - knowledge_id: str, - *, - purpose: str | NotGiven = NOT_GIVEN, - page: str | NotGiven = NOT_GIVEN, - limit: str | NotGiven = NOT_GIVEN, - order: Literal["desc", "asc"] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> DocumentPage: - return self._get( - "/files", - options=make_request_options( - extra_headers=extra_headers, - extra_body=extra_body, - timeout=timeout, - query=maybe_transform( - { - "knowledge_id": knowledge_id, - "purpose": purpose, - "page": page, - "limit": limit, - "order": order, - }, - document_list_params.DocumentListParams, - ), - ), - cast_type=DocumentPage, - ) - - def delete( - self, - document_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> httpx.Response: - """ - Delete a file. - - Args: - - document_id: 知识id - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not document_id: - raise ValueError(f"Expected a non-empty value for `document_id` but received {document_id!r}") - - return self._delete( - f"/document/{document_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=httpx.Response, - ) - - def retrieve( - self, - document_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> DocumentData: - """ - - Args: - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not document_id: - raise ValueError(f"Expected a non-empty value for `document_id` but received {document_id!r}") - - return self._get( - f"/document/{document_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=DocumentData, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/knowledge.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/knowledge.py deleted file mode 100644 index fea4c73ac9..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/knowledge/knowledge.py +++ /dev/null @@ -1,173 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Literal, Optional - -import httpx - -from ...core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - cached_property, - deepcopy_minimal, - make_request_options, - maybe_transform, -) -from ...types.knowledge import KnowledgeInfo, KnowledgeUsed, knowledge_create_params, knowledge_list_params -from ...types.knowledge.knowledge_list_resp import KnowledgePage -from .document import Document - -if TYPE_CHECKING: - from ..._client import ZhipuAI - -__all__ = ["Knowledge"] - - -class Knowledge(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - @cached_property - def document(self) -> Document: - return Document(self._client) - - def create( - self, - embedding_id: int, - name: str, - *, - customer_identifier: Optional[str] = None, - description: Optional[str] = None, - background: Optional[Literal["blue", "red", "orange", "purple", "sky"]] = None, - icon: Optional[Literal["question", "book", "seal", "wrench", "tag", "horn", "house"]] = None, - bucket_id: Optional[str] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> KnowledgeInfo: - body = deepcopy_minimal( - { - "embedding_id": embedding_id, - "name": name, - "customer_identifier": customer_identifier, - "description": description, - "background": background, - "icon": icon, - "bucket_id": bucket_id, - } - ) - return self._post( - "/knowledge", - body=maybe_transform(body, knowledge_create_params.KnowledgeBaseParams), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=KnowledgeInfo, - ) - - def modify( - self, - knowledge_id: str, - embedding_id: int, - *, - name: str, - description: Optional[str] = None, - background: Optional[Literal["blue", "red", "orange", "purple", "sky"]] = None, - icon: Optional[Literal["question", "book", "seal", "wrench", "tag", "horn", "house"]] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> httpx.Response: - body = deepcopy_minimal( - { - "id": knowledge_id, - "embedding_id": embedding_id, - "name": name, - "description": description, - "background": background, - "icon": icon, - } - ) - return self._put( - f"/knowledge/{knowledge_id}", - body=maybe_transform(body, knowledge_create_params.KnowledgeBaseParams), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=httpx.Response, - ) - - def query( - self, - *, - page: int | NotGiven = 1, - size: int | NotGiven = 10, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> KnowledgePage: - return self._get( - "/knowledge", - options=make_request_options( - extra_headers=extra_headers, - extra_body=extra_body, - timeout=timeout, - query=maybe_transform( - { - "page": page, - "size": size, - }, - knowledge_list_params.KnowledgeListParams, - ), - ), - cast_type=KnowledgePage, - ) - - def delete( - self, - knowledge_id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> httpx.Response: - """ - Delete a file. - - Args: - knowledge_id: 知识库ID - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - if not knowledge_id: - raise ValueError("Expected a non-empty value for `knowledge_id`") - - return self._delete( - f"/knowledge/{knowledge_id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=httpx.Response, - ) - - def used( - self, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> KnowledgeUsed: - """ - Returns the contents of the specified file. - - Args: - extra_headers: Send extra headers - - extra_body: Add additional JSON properties to the request - - timeout: Override the client-level default timeout for this request, in seconds - """ - return self._get( - "/knowledge/capacity", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=KnowledgeUsed, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/tools/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/tools/__init__.py deleted file mode 100644 index 43e4e37da1..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/tools/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .tools import Tools - -__all__ = ["Tools"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/tools/tools.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/tools/tools.py deleted file mode 100644 index 3c3a630aff..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/tools/tools.py +++ /dev/null @@ -1,65 +0,0 @@ -from __future__ import annotations - -import logging -from typing import TYPE_CHECKING, Literal, Optional, Union - -import httpx - -from ...core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - StreamResponse, - deepcopy_minimal, - make_request_options, - maybe_transform, -) -from ...types.tools import WebSearch, WebSearchChunk, tools_web_search_params - -logger = logging.getLogger(__name__) - -if TYPE_CHECKING: - from ..._client import ZhipuAI - -__all__ = ["Tools"] - - -class Tools(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def web_search( - self, - *, - model: str, - request_id: Optional[str] | NotGiven = NOT_GIVEN, - stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN, - messages: Union[str, list[str], list[int], object, None], - scope: Optional[str] | NotGiven = NOT_GIVEN, - location: Optional[str] | NotGiven = NOT_GIVEN, - recent_days: Optional[int] | NotGiven = NOT_GIVEN, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> WebSearch | StreamResponse[WebSearchChunk]: - body = deepcopy_minimal( - { - "model": model, - "request_id": request_id, - "messages": messages, - "stream": stream, - "scope": scope, - "location": location, - "recent_days": recent_days, - } - ) - return self._post( - "/tools", - body=maybe_transform(body, tools_web_search_params.WebSearchParams), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=WebSearch, - stream=stream or False, - stream_cls=StreamResponse[WebSearchChunk], - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/videos/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/videos/__init__.py deleted file mode 100644 index 6b0f99ed09..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/videos/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -from .videos import ( - Videos, -) - -__all__ = [ - "Videos", -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/videos/videos.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/videos/videos.py deleted file mode 100644 index 71c8316602..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/videos/videos.py +++ /dev/null @@ -1,77 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING, Optional - -import httpx - -from ...core import ( - NOT_GIVEN, - BaseAPI, - Body, - Headers, - NotGiven, - deepcopy_minimal, - make_request_options, - maybe_transform, -) -from ...types.sensitive_word_check import SensitiveWordCheckRequest -from ...types.video import VideoObject, video_create_params - -if TYPE_CHECKING: - from ..._client import ZhipuAI - -__all__ = ["Videos"] - - -class Videos(BaseAPI): - def __init__(self, client: ZhipuAI) -> None: - super().__init__(client) - - def generations( - self, - model: str, - *, - prompt: Optional[str] = None, - image_url: Optional[str] = None, - sensitive_word_check: Optional[SensitiveWordCheckRequest] | NotGiven = NOT_GIVEN, - request_id: Optional[str] = None, - user_id: Optional[str] = None, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> VideoObject: - if not model and not model: - raise ValueError("At least one of `model` and `prompt` must be provided.") - body = deepcopy_minimal( - { - "model": model, - "prompt": prompt, - "image_url": image_url, - "sensitive_word_check": sensitive_word_check, - "request_id": request_id, - "user_id": user_id, - } - ) - return self._post( - "/videos/generations", - body=maybe_transform(body, video_create_params.VideoCreateParams), - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=VideoObject, - ) - - def retrieve_videos_result( - self, - id: str, - *, - extra_headers: Headers | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - ) -> VideoObject: - if not id: - raise ValueError("At least one of `id` must be provided.") - - return self._get( - f"/async-result/{id}", - options=make_request_options(extra_headers=extra_headers, extra_body=extra_body, timeout=timeout), - cast_type=VideoObject, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/__init__.py deleted file mode 100644 index 3d6466d279..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/__init__.py +++ /dev/null @@ -1,108 +0,0 @@ -from ._base_api import BaseAPI -from ._base_compat import ( - PYDANTIC_V2, - ConfigDict, - GenericModel, - cached_property, - field_get_default, - get_args, - get_model_config, - get_model_fields, - get_origin, - is_literal_type, - is_union, - parse_obj, -) -from ._base_models import BaseModel, construct_type -from ._base_type import ( - NOT_GIVEN, - Body, - FileTypes, - Headers, - IncEx, - ModelT, - NotGiven, - Query, -) -from ._constants import ( - ZHIPUAI_DEFAULT_LIMITS, - ZHIPUAI_DEFAULT_MAX_RETRIES, - ZHIPUAI_DEFAULT_TIMEOUT, -) -from ._errors import ( - APIAuthenticationError, - APIConnectionError, - APIInternalError, - APIReachLimitError, - APIRequestFailedError, - APIResponseError, - APIResponseValidationError, - APIServerFlowExceedError, - APIStatusError, - APITimeoutError, - ZhipuAIError, -) -from ._files import is_file_content -from ._http_client import HttpClient, make_request_options -from ._sse_client import StreamResponse -from ._utils import ( - deepcopy_minimal, - drop_prefix_image_data, - extract_files, - is_given, - is_list, - is_mapping, - maybe_transform, - parse_date, - parse_datetime, -) - -__all__ = [ - "BaseModel", - "construct_type", - "BaseAPI", - "NOT_GIVEN", - "Headers", - "NotGiven", - "Body", - "IncEx", - "ModelT", - "Query", - "FileTypes", - "PYDANTIC_V2", - "ConfigDict", - "GenericModel", - "get_args", - "is_union", - "parse_obj", - "get_origin", - "is_literal_type", - "get_model_config", - "get_model_fields", - "field_get_default", - "is_file_content", - "ZhipuAIError", - "APIStatusError", - "APIRequestFailedError", - "APIAuthenticationError", - "APIReachLimitError", - "APIInternalError", - "APIServerFlowExceedError", - "APIResponseError", - "APIResponseValidationError", - "APITimeoutError", - "make_request_options", - "HttpClient", - "ZHIPUAI_DEFAULT_TIMEOUT", - "ZHIPUAI_DEFAULT_MAX_RETRIES", - "ZHIPUAI_DEFAULT_LIMITS", - "is_list", - "is_mapping", - "parse_date", - "parse_datetime", - "is_given", - "maybe_transform", - "deepcopy_minimal", - "extract_files", - "StreamResponse", -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_api.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_api.py deleted file mode 100644 index 3592ea6bac..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_api.py +++ /dev/null @@ -1,19 +0,0 @@ -from __future__ import annotations - -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from .._client import ZhipuAI - - -class BaseAPI: - _client: ZhipuAI - - def __init__(self, client: ZhipuAI) -> None: - self._client = client - self._delete = client.delete - self._get = client.get - self._post = client.post - self._put = client.put - self._patch = client.patch - self._get_api_list = client.get_api_list diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_compat.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_compat.py deleted file mode 100644 index 92a5d683be..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_compat.py +++ /dev/null @@ -1,209 +0,0 @@ -from __future__ import annotations - -from collections.abc import Callable -from datetime import date, datetime -from typing import TYPE_CHECKING, Any, Generic, TypeVar, Union, cast, overload - -import pydantic -from pydantic.fields import FieldInfo -from typing_extensions import Self - -from ._base_type import StrBytesIntFloat - -_T = TypeVar("_T") -_ModelT = TypeVar("_ModelT", bound=pydantic.BaseModel) - -# --------------- Pydantic v2 compatibility --------------- - -# Pyright incorrectly reports some of our functions as overriding a method when they don't -# pyright: reportIncompatibleMethodOverride=false - -PYDANTIC_V2 = pydantic.VERSION.startswith("2.") - -# v1 re-exports -if TYPE_CHECKING: - - def parse_date(value: date | StrBytesIntFloat) -> date: ... - - def parse_datetime(value: Union[datetime, StrBytesIntFloat]) -> datetime: ... - - def get_args(t: type[Any]) -> tuple[Any, ...]: ... - - def is_union(tp: type[Any] | None) -> bool: ... - - def get_origin(t: type[Any]) -> type[Any] | None: ... - - def is_literal_type(type_: type[Any]) -> bool: ... - - def is_typeddict(type_: type[Any]) -> bool: ... - -else: - if PYDANTIC_V2: - from pydantic.v1.typing import ( # noqa: I001 - get_args as get_args, # noqa: PLC0414 - is_union as is_union, # noqa: PLC0414 - get_origin as get_origin, # noqa: PLC0414 - is_typeddict as is_typeddict, # noqa: PLC0414 - is_literal_type as is_literal_type, # noqa: PLC0414 - ) - from pydantic.v1.datetime_parse import parse_date as parse_date, parse_datetime as parse_datetime # noqa: PLC0414 - else: - from pydantic.typing import ( # noqa: I001 - get_args as get_args, # noqa: PLC0414 - is_union as is_union, # noqa: PLC0414 - get_origin as get_origin, # noqa: PLC0414 - is_typeddict as is_typeddict, # noqa: PLC0414 - is_literal_type as is_literal_type, # noqa: PLC0414 - ) - from pydantic.datetime_parse import parse_date as parse_date, parse_datetime as parse_datetime # noqa: PLC0414 - - -# refactored config -if TYPE_CHECKING: - from pydantic import ConfigDict -else: - if PYDANTIC_V2: - from pydantic import ConfigDict - else: - # TODO: provide an error message here? - ConfigDict = None - - -# renamed methods / properties -def parse_obj(model: type[_ModelT], value: object) -> _ModelT: - if PYDANTIC_V2: - return model.model_validate(value) - else: - # pyright: ignore[reportDeprecated, reportUnnecessaryCast] - return cast(_ModelT, model.parse_obj(value)) - - -def field_is_required(field: FieldInfo) -> bool: - if PYDANTIC_V2: - return field.is_required() - return field.required # type: ignore - - -def field_get_default(field: FieldInfo) -> Any: - value = field.get_default() - if PYDANTIC_V2: - from pydantic_core import PydanticUndefined - - if value == PydanticUndefined: - return None - return value - return value - - -def field_outer_type(field: FieldInfo) -> Any: - if PYDANTIC_V2: - return field.annotation - return field.outer_type_ # type: ignore - - -def get_model_config(model: type[pydantic.BaseModel]) -> Any: - if PYDANTIC_V2: - return model.model_config - return model.__config__ # type: ignore - - -def get_model_fields(model: type[pydantic.BaseModel]) -> dict[str, FieldInfo]: - if PYDANTIC_V2: - return model.model_fields - return model.__fields__ # type: ignore - - -def model_copy(model: _ModelT) -> _ModelT: - if PYDANTIC_V2: - return model.model_copy() - return model.copy() # type: ignore - - -def model_json(model: pydantic.BaseModel, *, indent: int | None = None) -> str: - if PYDANTIC_V2: - return model.model_dump_json(indent=indent) - return model.json(indent=indent) # type: ignore - - -def model_dump( - model: pydantic.BaseModel, - *, - exclude_unset: bool = False, - exclude_defaults: bool = False, -) -> dict[str, Any]: - if PYDANTIC_V2: - return model.model_dump( - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - ) - return cast( - "dict[str, Any]", - model.dict( # pyright: ignore[reportDeprecated, reportUnnecessaryCast] - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - ), - ) - - -def model_parse(model: type[_ModelT], data: Any) -> _ModelT: - if PYDANTIC_V2: - return model.model_validate(data) - return model.parse_obj(data) # pyright: ignore[reportDeprecated] - - -# generic models -if TYPE_CHECKING: - - class GenericModel(pydantic.BaseModel): ... - -else: - if PYDANTIC_V2: - # there no longer needs to be a distinction in v2 but - # we still have to create our own subclass to avoid - # inconsistent MRO ordering errors - class GenericModel(pydantic.BaseModel): ... - - else: - import pydantic.generics - - class GenericModel(pydantic.generics.GenericModel, pydantic.BaseModel): ... - - -# cached properties -if TYPE_CHECKING: - cached_property = property - - # we define a separate type (copied from typeshed) - # that represents that `cached_property` is `set`able - # at runtime, which differs from `@property`. - # - # this is a separate type as editors likely special case - # `@property` and we don't want to cause issues just to have - # more helpful internal types. - - class typed_cached_property(Generic[_T]): # noqa: N801 - func: Callable[[Any], _T] - attrname: str | None - - def __init__(self, func: Callable[[Any], _T]) -> None: ... - - @overload - def __get__(self, instance: None, owner: type[Any] | None = None) -> Self: ... - - @overload - def __get__(self, instance: object, owner: type[Any] | None = None) -> _T: ... - - def __get__(self, instance: object, owner: type[Any] | None = None) -> _T | Self: - raise NotImplementedError() - - def __set_name__(self, owner: type[Any], name: str) -> None: ... - - # __set__ is not defined at runtime, but @cached_property is designed to be settable - def __set__(self, instance: object, value: _T) -> None: ... -else: - try: - from functools import cached_property - except ImportError: - from cached_property import cached_property - - typed_cached_property = cached_property diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py deleted file mode 100644 index 69b1d3a83d..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py +++ /dev/null @@ -1,670 +0,0 @@ -from __future__ import annotations - -import inspect -import os -from collections.abc import Callable -from datetime import date, datetime -from typing import TYPE_CHECKING, Any, ClassVar, Generic, Literal, TypeGuard, TypeVar, cast - -import pydantic -import pydantic.generics -from pydantic.fields import FieldInfo -from typing_extensions import ( - ParamSpec, - Protocol, - override, - runtime_checkable, -) - -from ._base_compat import ( - PYDANTIC_V2, - ConfigDict, - field_get_default, - get_args, - get_model_config, - get_model_fields, - get_origin, - is_literal_type, - is_union, - parse_obj, -) -from ._base_compat import ( - GenericModel as BaseGenericModel, -) -from ._base_type import ( - IncEx, - ModelT, -) -from ._utils import ( - PropertyInfo, - coerce_boolean, - extract_type_arg, - is_annotated_type, - is_list, - is_mapping, - parse_date, - parse_datetime, - strip_annotated_type, -) - -if TYPE_CHECKING: - from pydantic_core.core_schema import ModelField - -__all__ = ["BaseModel", "GenericModel"] -_BaseModelT = TypeVar("_BaseModelT", bound="BaseModel") - -_T = TypeVar("_T") -P = ParamSpec("P") - - -@runtime_checkable -class _ConfigProtocol(Protocol): - allow_population_by_field_name: bool - - -class BaseModel(pydantic.BaseModel): - if PYDANTIC_V2: - model_config: ClassVar[ConfigDict] = ConfigDict( - extra="allow", defer_build=coerce_boolean(os.environ.get("DEFER_PYDANTIC_BUILD", "true")) - ) - else: - - @property - @override - def model_fields_set(self) -> set[str]: - # a forwards-compat shim for pydantic v2 - return self.__fields_set__ # type: ignore - - class Config(pydantic.BaseConfig): # pyright: ignore[reportDeprecated] - extra: Any = pydantic.Extra.allow # type: ignore - - def to_dict( - self, - *, - mode: Literal["json", "python"] = "python", - use_api_names: bool = True, - exclude_unset: bool = True, - exclude_defaults: bool = False, - exclude_none: bool = False, - warnings: bool = True, - ) -> dict[str, object]: - """Recursively generate a dictionary representation of the model, optionally specifying which fields to include or exclude. - - By default, fields that were not set by the API will not be included, - and keys will match the API response, *not* the property names from the model. - - For example, if the API responds with `"fooBar": true` but we've defined a `foo_bar: bool` property, - the output will use the `"fooBar"` key (unless `use_api_names=False` is passed). - - Args: - mode: - If mode is 'json', the dictionary will only contain JSON serializable types. e.g. `datetime` will be turned into a string, `"2024-3-22T18:11:19.117000Z"`. - If mode is 'python', the dictionary may contain any Python objects. e.g. `datetime(2024, 3, 22)` - - use_api_names: Whether to use the key that the API responded with or the property name. Defaults to `True`. - exclude_unset: Whether to exclude fields that have not been explicitly set. - exclude_defaults: Whether to exclude fields that are set to their default value from the output. - exclude_none: Whether to exclude fields that have a value of `None` from the output. - warnings: Whether to log warnings when invalid fields are encountered. This is only supported in Pydantic v2. - """ # noqa: E501 - return self.model_dump( - mode=mode, - by_alias=use_api_names, - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - exclude_none=exclude_none, - warnings=warnings, - ) - - def to_json( - self, - *, - indent: int | None = 2, - use_api_names: bool = True, - exclude_unset: bool = True, - exclude_defaults: bool = False, - exclude_none: bool = False, - warnings: bool = True, - ) -> str: - """Generates a JSON string representing this model as it would be received from or sent to the API (but with indentation). - - By default, fields that were not set by the API will not be included, - and keys will match the API response, *not* the property names from the model. - - For example, if the API responds with `"fooBar": true` but we've defined a `foo_bar: bool` property, - the output will use the `"fooBar"` key (unless `use_api_names=False` is passed). - - Args: - indent: Indentation to use in the JSON output. If `None` is passed, the output will be compact. Defaults to `2` - use_api_names: Whether to use the key that the API responded with or the property name. Defaults to `True`. - exclude_unset: Whether to exclude fields that have not been explicitly set. - exclude_defaults: Whether to exclude fields that have the default value. - exclude_none: Whether to exclude fields that have a value of `None`. - warnings: Whether to show any warnings that occurred during serialization. This is only supported in Pydantic v2. - """ # noqa: E501 - return self.model_dump_json( - indent=indent, - by_alias=use_api_names, - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - exclude_none=exclude_none, - warnings=warnings, - ) - - @override - def __str__(self) -> str: - # mypy complains about an invalid self arg - return f'{self.__repr_name__()}({self.__repr_str__(", ")})' # type: ignore[misc] - - # Override the 'construct' method in a way that supports recursive parsing without validation. - # Based on https://github.com/samuelcolvin/pydantic/issues/1168#issuecomment-817742836. - @classmethod - @override - def construct( - cls: type[ModelT], - _fields_set: set[str] | None = None, - **values: object, - ) -> ModelT: - m = cls.__new__(cls) - fields_values: dict[str, object] = {} - - config = get_model_config(cls) - populate_by_name = ( - config.allow_population_by_field_name - if isinstance(config, _ConfigProtocol) - else config.get("populate_by_name") - ) - - if _fields_set is None: - _fields_set = set() - - model_fields = get_model_fields(cls) - for name, field in model_fields.items(): - key = field.alias - if key is None or (key not in values and populate_by_name): - key = name - - if key in values: - fields_values[name] = _construct_field(value=values[key], field=field, key=key) - _fields_set.add(name) - else: - fields_values[name] = field_get_default(field) - - _extra = {} - for key, value in values.items(): - if key not in model_fields: - if PYDANTIC_V2: - _extra[key] = value - else: - _fields_set.add(key) - fields_values[key] = value - - object.__setattr__(m, "__dict__", fields_values) # noqa: PLC2801 - - if PYDANTIC_V2: - # these properties are copied from Pydantic's `model_construct()` method - object.__setattr__(m, "__pydantic_private__", None) # noqa: PLC2801 - object.__setattr__(m, "__pydantic_extra__", _extra) # noqa: PLC2801 - object.__setattr__(m, "__pydantic_fields_set__", _fields_set) # noqa: PLC2801 - else: - # init_private_attributes() does not exist in v2 - m._init_private_attributes() # type: ignore - - # copied from Pydantic v1's `construct()` method - object.__setattr__(m, "__fields_set__", _fields_set) # noqa: PLC2801 - - return m - - if not TYPE_CHECKING: - # type checkers incorrectly complain about this assignment - # because the type signatures are technically different - # although not in practice - model_construct = construct - - if not PYDANTIC_V2: - # we define aliases for some of the new pydantic v2 methods so - # that we can just document these methods without having to specify - # a specific pydantic version as some users may not know which - # pydantic version they are currently using - - @override - def model_dump( - self, - *, - mode: Literal["json", "python"] | str = "python", - include: IncEx = None, - exclude: IncEx = None, - by_alias: bool = False, - exclude_unset: bool = False, - exclude_defaults: bool = False, - exclude_none: bool = False, - round_trip: bool = False, - warnings: bool | Literal["none", "warn", "error"] = True, - context: dict[str, Any] | None = None, - serialize_as_any: bool = False, - ) -> dict[str, Any]: - """Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump - - Generate a dictionary representation of the model, optionally specifying which fields to include or exclude. - - Args: - mode: The mode in which `to_python` should run. - If mode is 'json', the dictionary will only contain JSON serializable types. - If mode is 'python', the dictionary may contain any Python objects. - include: A list of fields to include in the output. - exclude: A list of fields to exclude from the output. - by_alias: Whether to use the field's alias in the dictionary key if defined. - exclude_unset: Whether to exclude fields that are unset or None from the output. - exclude_defaults: Whether to exclude fields that are set to their default value from the output. - exclude_none: Whether to exclude fields that have a value of `None` from the output. - round_trip: Whether to enable serialization and deserialization round-trip support. - warnings: Whether to log warnings when invalid fields are encountered. - - Returns: - A dictionary representation of the model. - """ - if mode != "python": - raise ValueError("mode is only supported in Pydantic v2") - if round_trip != False: - raise ValueError("round_trip is only supported in Pydantic v2") - if warnings != True: - raise ValueError("warnings is only supported in Pydantic v2") - if context is not None: - raise ValueError("context is only supported in Pydantic v2") - if serialize_as_any != False: - raise ValueError("serialize_as_any is only supported in Pydantic v2") - return super().dict( # pyright: ignore[reportDeprecated] - include=include, - exclude=exclude, - by_alias=by_alias, - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - exclude_none=exclude_none, - ) - - @override - def model_dump_json( - self, - *, - indent: int | None = None, - include: IncEx = None, - exclude: IncEx = None, - by_alias: bool = False, - exclude_unset: bool = False, - exclude_defaults: bool = False, - exclude_none: bool = False, - round_trip: bool = False, - warnings: bool | Literal["none", "warn", "error"] = True, - context: dict[str, Any] | None = None, - serialize_as_any: bool = False, - ) -> str: - """Usage docs: https://docs.pydantic.dev/2.4/concepts/serialization/#modelmodel_dump_json - - Generates a JSON representation of the model using Pydantic's `to_json` method. - - Args: - indent: Indentation to use in the JSON output. If None is passed, the output will be compact. - include: Field(s) to include in the JSON output. Can take either a string or set of strings. - exclude: Field(s) to exclude from the JSON output. Can take either a string or set of strings. - by_alias: Whether to serialize using field aliases. - exclude_unset: Whether to exclude fields that have not been explicitly set. - exclude_defaults: Whether to exclude fields that have the default value. - exclude_none: Whether to exclude fields that have a value of `None`. - round_trip: Whether to use serialization/deserialization between JSON and class instance. - warnings: Whether to show any warnings that occurred during serialization. - - Returns: - A JSON string representation of the model. - """ - if round_trip != False: - raise ValueError("round_trip is only supported in Pydantic v2") - if warnings != True: - raise ValueError("warnings is only supported in Pydantic v2") - if context is not None: - raise ValueError("context is only supported in Pydantic v2") - if serialize_as_any != False: - raise ValueError("serialize_as_any is only supported in Pydantic v2") - return super().json( # type: ignore[reportDeprecated] - indent=indent, - include=include, - exclude=exclude, - by_alias=by_alias, - exclude_unset=exclude_unset, - exclude_defaults=exclude_defaults, - exclude_none=exclude_none, - ) - - -def _construct_field(value: object, field: FieldInfo, key: str) -> object: - if value is None: - return field_get_default(field) - - if PYDANTIC_V2: - type_ = field.annotation - else: - type_ = cast(type, field.outer_type_) # type: ignore - - if type_ is None: - raise RuntimeError(f"Unexpected field type is None for {key}") - - return construct_type(value=value, type_=type_) - - -def is_basemodel(type_: type) -> bool: - """Returns whether or not the given type is either a `BaseModel` or a union of `BaseModel`""" - if is_union(type_): - return any(is_basemodel(variant) for variant in get_args(type_)) - - return is_basemodel_type(type_) - - -def is_basemodel_type(type_: type) -> TypeGuard[type[BaseModel] | type[GenericModel]]: - origin = get_origin(type_) or type_ - return issubclass(origin, BaseModel) or issubclass(origin, GenericModel) - - -def build( - base_model_cls: Callable[P, _BaseModelT], - *args: P.args, - **kwargs: P.kwargs, -) -> _BaseModelT: - """Construct a BaseModel class without validation. - - This is useful for cases where you need to instantiate a `BaseModel` - from an API response as this provides type-safe params which isn't supported - by helpers like `construct_type()`. - - ```py - build(MyModel, my_field_a="foo", my_field_b=123) - ``` - """ - if args: - raise TypeError( - "Received positional arguments which are not supported; Keyword arguments must be used instead", - ) - - return cast(_BaseModelT, construct_type(type_=base_model_cls, value=kwargs)) - - -def construct_type_unchecked(*, value: object, type_: type[_T]) -> _T: - """Loose coercion to the expected type with construction of nested values. - - Note: the returned value from this function is not guaranteed to match the - given type. - """ - return cast(_T, construct_type(value=value, type_=type_)) - - -def construct_type(*, value: object, type_: type) -> object: - """Loose coercion to the expected type with construction of nested values. - - If the given value does not match the expected type then it is returned as-is. - """ - # we allow `object` as the input type because otherwise, passing things like - # `Literal['value']` will be reported as a type error by type checkers - type_ = cast("type[object]", type_) - - # unwrap `Annotated[T, ...]` -> `T` - if is_annotated_type(type_): - meta: tuple[Any, ...] = get_args(type_)[1:] - type_ = extract_type_arg(type_, 0) - else: - meta = () - # we need to use the origin class for any types that are subscripted generics - # e.g. Dict[str, object] - origin = get_origin(type_) or type_ - args = get_args(type_) - - if is_union(origin): - try: - return validate_type(type_=cast("type[object]", type_), value=value) - except Exception: - pass - - # if the type is a discriminated union then we want to construct the right variant - # in the union, even if the data doesn't match exactly, otherwise we'd break code - # that relies on the constructed class types, e.g. - # - # class FooType: - # kind: Literal['foo'] - # value: str - # - # class BarType: - # kind: Literal['bar'] - # value: int - # - # without this block, if the data we get is something like `{'kind': 'bar', 'value': 'foo'}` then - # we'd end up constructing `FooType` when it should be `BarType`. - discriminator = _build_discriminated_union_meta(union=type_, meta_annotations=meta) - if discriminator and is_mapping(value): - variant_value = value.get(discriminator.field_alias_from or discriminator.field_name) - if variant_value and isinstance(variant_value, str): - variant_type = discriminator.mapping.get(variant_value) - if variant_type: - return construct_type(type_=variant_type, value=value) - - # if the data is not valid, use the first variant that doesn't fail while deserializing - for variant in args: - try: - return construct_type(value=value, type_=variant) - except Exception: - continue - - raise RuntimeError(f"Could not convert data into a valid instance of {type_}") - if origin == dict: - if not is_mapping(value): - return value - - _, items_type = get_args(type_) # Dict[_, items_type] - return {key: construct_type(value=item, type_=items_type) for key, item in value.items()} - - if not is_literal_type(type_) and (issubclass(origin, BaseModel) or issubclass(origin, GenericModel)): - if is_list(value): - return [cast(Any, type_).construct(**entry) if is_mapping(entry) else entry for entry in value] - - if is_mapping(value): - if issubclass(type_, BaseModel): - return type_.construct(**value) # type: ignore[arg-type] - - return cast(Any, type_).construct(**value) - - if origin == list: - if not is_list(value): - return value - - inner_type = args[0] # List[inner_type] - return [construct_type(value=entry, type_=inner_type) for entry in value] - - if origin == float: - if isinstance(value, int): - coerced = float(value) - if coerced != value: - return value - return coerced - - return value - - if type_ == datetime: - try: - return parse_datetime(value) # type: ignore - except Exception: - return value - - if type_ == date: - try: - return parse_date(value) # type: ignore - except Exception: - return value - - return value - - -@runtime_checkable -class CachedDiscriminatorType(Protocol): - __discriminator__: DiscriminatorDetails - - -class DiscriminatorDetails: - field_name: str - """The name of the discriminator field in the variant class, e.g. - - ```py - class Foo(BaseModel): - type: Literal['foo'] - ``` - - Will result in field_name='type' - """ - - field_alias_from: str | None - """The name of the discriminator field in the API response, e.g. - - ```py - class Foo(BaseModel): - type: Literal['foo'] = Field(alias='type_from_api') - ``` - - Will result in field_alias_from='type_from_api' - """ - - mapping: dict[str, type] - """Mapping of discriminator value to variant type, e.g. - - {'foo': FooVariant, 'bar': BarVariant} - """ - - def __init__( - self, - *, - mapping: dict[str, type], - discriminator_field: str, - discriminator_alias: str | None, - ) -> None: - self.mapping = mapping - self.field_name = discriminator_field - self.field_alias_from = discriminator_alias - - -def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, ...]) -> DiscriminatorDetails | None: - if isinstance(union, CachedDiscriminatorType): - return union.__discriminator__ - - discriminator_field_name: str | None = None - - for annotation in meta_annotations: - if isinstance(annotation, PropertyInfo) and annotation.discriminator is not None: - discriminator_field_name = annotation.discriminator - break - - if not discriminator_field_name: - return None - - mapping: dict[str, type] = {} - discriminator_alias: str | None = None - - for variant in get_args(union): - variant = strip_annotated_type(variant) - if is_basemodel_type(variant): - if PYDANTIC_V2: - field = _extract_field_schema_pv2(variant, discriminator_field_name) - if not field: - continue - - # Note: if one variant defines an alias then they all should - discriminator_alias = field.get("serialization_alias") - - field_schema = field["schema"] - - if field_schema["type"] == "literal": - for entry in cast("LiteralSchema", field_schema)["expected"]: - if isinstance(entry, str): - mapping[entry] = variant - else: - field_info = cast("dict[str, FieldInfo]", variant.__fields__).get(discriminator_field_name) # pyright: ignore[reportDeprecated, reportUnnecessaryCast] - if not field_info: - continue - - # Note: if one variant defines an alias then they all should - discriminator_alias = field_info.alias - - if field_info.annotation and is_literal_type(field_info.annotation): - for entry in get_args(field_info.annotation): - if isinstance(entry, str): - mapping[entry] = variant - - if not mapping: - return None - - details = DiscriminatorDetails( - mapping=mapping, - discriminator_field=discriminator_field_name, - discriminator_alias=discriminator_alias, - ) - cast(CachedDiscriminatorType, union).__discriminator__ = details - return details - - -def _extract_field_schema_pv2(model: type[BaseModel], field_name: str) -> ModelField | None: - schema = model.__pydantic_core_schema__ - if schema["type"] != "model": - return None - - fields_schema = schema["schema"] - if fields_schema["type"] != "model-fields": - return None - - fields_schema = cast("ModelFieldsSchema", fields_schema) - - field = fields_schema["fields"].get(field_name) - if not field: - return None - - return cast("ModelField", field) # pyright: ignore[reportUnnecessaryCast] - - -def validate_type(*, type_: type[_T], value: object) -> _T: - """Strict validation that the given value matches the expected type""" - if inspect.isclass(type_) and issubclass(type_, pydantic.BaseModel): - return cast(_T, parse_obj(type_, value)) - - return cast(_T, _validate_non_model_type(type_=type_, value=value)) - - -# Subclassing here confuses type checkers, so we treat this class as non-inheriting. -if TYPE_CHECKING: - GenericModel = BaseModel -else: - - class GenericModel(BaseGenericModel, BaseModel): - pass - - -if PYDANTIC_V2: - from pydantic import TypeAdapter - - def _validate_non_model_type(*, type_: type[_T], value: object) -> _T: - return TypeAdapter(type_).validate_python(value) - -elif not TYPE_CHECKING: - - class TypeAdapter(Generic[_T]): - """Used as a placeholder to easily convert runtime types to a Pydantic format - to provide validation. - - For example: - ```py - validated = RootModel[int](__root__="5").__root__ - # validated: 5 - ``` - """ - - def __init__(self, type_: type[_T]): - self.type_ = type_ - - def validate_python(self, value: Any) -> _T: - if not isinstance(value, self.type_): - raise ValueError(f"Invalid type: {value} is not of type {self.type_}") - return value - - def _validate_non_model_type(*, type_: type[_T], value: object) -> _T: - return TypeAdapter(type_).validate_python(value) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_type.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_type.py deleted file mode 100644 index ea1d3f09dc..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_type.py +++ /dev/null @@ -1,170 +0,0 @@ -from __future__ import annotations - -from collections.abc import Callable, Mapping, Sequence -from os import PathLike -from typing import ( - IO, - TYPE_CHECKING, - Any, - Literal, - Optional, - TypeAlias, - TypeVar, - Union, -) - -import pydantic -from httpx import Response -from typing_extensions import Protocol, TypedDict, override, runtime_checkable - -Query = Mapping[str, object] -Body = object -AnyMapping = Mapping[str, object] -PrimitiveData = Union[str, int, float, bool, None] -Data = Union[PrimitiveData, list[Any], tuple[Any], "Mapping[str, Any]"] -ModelT = TypeVar("ModelT", bound=pydantic.BaseModel) -_T = TypeVar("_T") - -if TYPE_CHECKING: - NoneType: type[None] -else: - NoneType = type(None) - - -# Sentinel class used until PEP 0661 is accepted -class NotGiven: - """ - A sentinel singleton class used to distinguish omitted keyword arguments - from those passed in with the value None (which may have different behavior). - - For example: - - ```py - def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: ... - - get(timeout=1) # 1s timeout - get(timeout=None) # No timeout - get() # Default timeout behavior, which may not be statically known at the method definition. - ``` - """ - - def __bool__(self) -> Literal[False]: - return False - - @override - def __repr__(self) -> str: - return "NOT_GIVEN" - - -NotGivenOr = Union[_T, NotGiven] -NOT_GIVEN = NotGiven() - - -class Omit: - """In certain situations you need to be able to represent a case where a default value has - to be explicitly removed and `None` is not an appropriate substitute, for example: - - ```py - # as the default `Content-Type` header is `application/json` that will be sent - client.post('/upload/files', files={'file': b'my raw file content'}) - - # you can't explicitly override the header as it has to be dynamically generated - # to look something like: 'multipart/form-data; boundary=0d8382fcf5f8c3be01ca2e11002d2983' - client.post(..., headers={'Content-Type': 'multipart/form-data'}) - - # instead you can remove the default `application/json` header by passing Omit - client.post(..., headers={'Content-Type': Omit()}) - ``` - """ - - def __bool__(self) -> Literal[False]: - return False - - -@runtime_checkable -class ModelBuilderProtocol(Protocol): - @classmethod - def build( - cls: type[_T], - *, - response: Response, - data: object, - ) -> _T: ... - - -Headers = Mapping[str, Union[str, Omit]] - - -class HeadersLikeProtocol(Protocol): - def get(self, __key: str) -> str | None: ... - - -HeadersLike = Union[Headers, HeadersLikeProtocol] - -ResponseT = TypeVar( - "ResponseT", - bound="Union[str, None, BaseModel, list[Any], dict[str, Any], Response, UnknownResponse, ModelBuilderProtocol, BinaryResponseContent]", # noqa: E501 -) - -StrBytesIntFloat = Union[str, bytes, int, float] - -# Note: copied from Pydantic -# https://github.com/pydantic/pydantic/blob/32ea570bf96e84234d2992e1ddf40ab8a565925a/pydantic/main.py#L49 -IncEx: TypeAlias = "set[int] | set[str] | dict[int, Any] | dict[str, Any] | None" - -PostParser = Callable[[Any], Any] - - -@runtime_checkable -class InheritsGeneric(Protocol): - """Represents a type that has inherited from `Generic` - - The `__orig_bases__` property can be used to determine the resolved - type variable for a given base class. - """ - - __orig_bases__: tuple[_GenericAlias] - - -class _GenericAlias(Protocol): - __origin__: type[object] - - -class HttpxSendArgs(TypedDict, total=False): - auth: httpx.Auth - - -# for user input files -if TYPE_CHECKING: - Base64FileInput = Union[IO[bytes], PathLike[str]] - FileContent = Union[IO[bytes], bytes, PathLike[str]] -else: - Base64FileInput = Union[IO[bytes], PathLike] - FileContent = Union[IO[bytes], bytes, PathLike] - -FileTypes = Union[ - # file (or bytes) - FileContent, - # (filename, file (or bytes)) - tuple[Optional[str], FileContent], - # (filename, file (or bytes), content_type) - tuple[Optional[str], FileContent, Optional[str]], - # (filename, file (or bytes), content_type, headers) - tuple[Optional[str], FileContent, Optional[str], Mapping[str, str]], -] -RequestFiles = Union[Mapping[str, FileTypes], Sequence[tuple[str, FileTypes]]] - -# duplicate of the above but without our custom file support -HttpxFileContent = Union[bytes, IO[bytes]] -HttpxFileTypes = Union[ - # file (or bytes) - HttpxFileContent, - # (filename, file (or bytes)) - tuple[Optional[str], HttpxFileContent], - # (filename, file (or bytes), content_type) - tuple[Optional[str], HttpxFileContent, Optional[str]], - # (filename, file (or bytes), content_type, headers) - tuple[Optional[str], HttpxFileContent, Optional[str], Mapping[str, str]], -] - -HttpxRequestFiles = Union[Mapping[str, HttpxFileTypes], Sequence[tuple[str, HttpxFileTypes]]] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_constants.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_constants.py deleted file mode 100644 index 8e43bdebec..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_constants.py +++ /dev/null @@ -1,12 +0,0 @@ -import httpx - -RAW_RESPONSE_HEADER = "X-Stainless-Raw-Response" -# 通过 `Timeout` 控制接口`connect` 和 `read` 超时时间，默认为`timeout=300.0, connect=8.0` -ZHIPUAI_DEFAULT_TIMEOUT = httpx.Timeout(timeout=300.0, connect=8.0) -# 通过 `retry` 参数控制重试次数，默认为3次 -ZHIPUAI_DEFAULT_MAX_RETRIES = 3 -# 通过 `Limits` 控制最大连接数和保持连接数，默认为`max_connections=50, max_keepalive_connections=10` -ZHIPUAI_DEFAULT_LIMITS = httpx.Limits(max_connections=50, max_keepalive_connections=10) - -INITIAL_RETRY_DELAY = 0.5 -MAX_RETRY_DELAY = 8.0 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_errors.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_errors.py deleted file mode 100644 index e2c9d24c6c..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_errors.py +++ /dev/null @@ -1,86 +0,0 @@ -from __future__ import annotations - -import httpx - -__all__ = [ - "ZhipuAIError", - "APIStatusError", - "APIRequestFailedError", - "APIAuthenticationError", - "APIReachLimitError", - "APIInternalError", - "APIServerFlowExceedError", - "APIResponseError", - "APIResponseValidationError", - "APITimeoutError", - "APIConnectionError", -] - - -class ZhipuAIError(Exception): - def __init__( - self, - message: str, - ) -> None: - super().__init__(message) - - -class APIStatusError(ZhipuAIError): - response: httpx.Response - status_code: int - - def __init__(self, message: str, *, response: httpx.Response) -> None: - super().__init__(message) - self.response = response - self.status_code = response.status_code - - -class APIRequestFailedError(APIStatusError): ... - - -class APIAuthenticationError(APIStatusError): ... - - -class APIReachLimitError(APIStatusError): ... - - -class APIInternalError(APIStatusError): ... - - -class APIServerFlowExceedError(APIStatusError): ... - - -class APIResponseError(ZhipuAIError): - message: str - request: httpx.Request - json_data: object - - def __init__(self, message: str, request: httpx.Request, json_data: object): - self.message = message - self.request = request - self.json_data = json_data - super().__init__(message) - - -class APIResponseValidationError(APIResponseError): - status_code: int - response: httpx.Response - - def __init__(self, response: httpx.Response, json_data: object | None, *, message: str | None = None) -> None: - super().__init__( - message=message or "Data returned by API invalid for expected schema.", - request=response.request, - json_data=json_data, - ) - self.response = response - self.status_code = response.status_code - - -class APIConnectionError(APIResponseError): - def __init__(self, *, message: str = "Connection error.", request: httpx.Request) -> None: - super().__init__(message, request, json_data=None) - - -class APITimeoutError(APIConnectionError): - def __init__(self, request: httpx.Request) -> None: - super().__init__(message="Request timed out.", request=request) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_files.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_files.py deleted file mode 100644 index f9d2e14d9e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_files.py +++ /dev/null @@ -1,75 +0,0 @@ -from __future__ import annotations - -import io -import os -import pathlib -from typing import TypeGuard, overload - -from ._base_type import ( - Base64FileInput, - FileContent, - FileTypes, - HttpxFileContent, - HttpxFileTypes, - HttpxRequestFiles, - RequestFiles, -) -from ._utils import is_mapping_t, is_sequence_t, is_tuple_t - - -def is_base64_file_input(obj: object) -> TypeGuard[Base64FileInput]: - return isinstance(obj, io.IOBase | os.PathLike) - - -def is_file_content(obj: object) -> TypeGuard[FileContent]: - return isinstance(obj, bytes | tuple | io.IOBase | os.PathLike) - - -def assert_is_file_content(obj: object, *, key: str | None = None) -> None: - if not is_file_content(obj): - prefix = f"Expected entry at `{key}`" if key is not None else f"Expected file input `{obj!r}`" - raise RuntimeError( - f"{prefix} to be bytes, an io.IOBase instance, PathLike or a tuple but received {type(obj)} instead. See https://github.com/openai/openai-python/tree/main#file-uploads" - ) from None - - -@overload -def to_httpx_files(files: None) -> None: ... - - -@overload -def to_httpx_files(files: RequestFiles) -> HttpxRequestFiles: ... - - -def to_httpx_files(files: RequestFiles | None) -> HttpxRequestFiles | None: - if files is None: - return None - - if is_mapping_t(files): - files = {key: _transform_file(file) for key, file in files.items()} - elif is_sequence_t(files): - files = [(key, _transform_file(file)) for key, file in files] - else: - raise TypeError(f"Unexpected file type input {type(files)}, expected mapping or sequence") - - return files - - -def _transform_file(file: FileTypes) -> HttpxFileTypes: - if is_file_content(file): - if isinstance(file, os.PathLike): - path = pathlib.Path(file) - return (path.name, path.read_bytes()) - - return file - - if is_tuple_t(file): - return (file[0], _read_file_content(file[1]), *file[2:]) - - raise TypeError("Expected file types input to be a FileContent type or to be a tuple") - - -def _read_file_content(file: FileContent) -> HttpxFileContent: - if isinstance(file, os.PathLike): - return pathlib.Path(file).read_bytes() - return file diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_http_client.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_http_client.py deleted file mode 100644 index ffdafb85d5..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_http_client.py +++ /dev/null @@ -1,910 +0,0 @@ -from __future__ import annotations - -import inspect -import logging -import time -import warnings -from collections.abc import Iterator, Mapping -from itertools import starmap -from random import random -from typing import TYPE_CHECKING, Any, Generic, Literal, Optional, TypeVar, Union, cast, overload - -import httpx -import pydantic -from httpx import URL, Timeout - -from . import _errors, get_origin -from ._base_compat import model_copy -from ._base_models import GenericModel, construct_type, validate_type -from ._base_type import ( - NOT_GIVEN, - AnyMapping, - Body, - Data, - Headers, - HttpxSendArgs, - ModelBuilderProtocol, - NotGiven, - Omit, - PostParser, - Query, - RequestFiles, - ResponseT, -) -from ._constants import ( - INITIAL_RETRY_DELAY, - MAX_RETRY_DELAY, - RAW_RESPONSE_HEADER, - ZHIPUAI_DEFAULT_LIMITS, - ZHIPUAI_DEFAULT_MAX_RETRIES, - ZHIPUAI_DEFAULT_TIMEOUT, -) -from ._errors import APIConnectionError, APIResponseValidationError, APIStatusError, APITimeoutError -from ._files import to_httpx_files -from ._legacy_response import LegacyAPIResponse -from ._request_opt import FinalRequestOptions, UserRequestInput -from ._response import APIResponse, BaseAPIResponse, extract_response_type -from ._sse_client import StreamResponse -from ._utils import flatten, is_given, is_mapping - -log: logging.Logger = logging.getLogger(__name__) - -# TODO: make base page type vars covariant -SyncPageT = TypeVar("SyncPageT", bound="BaseSyncPage[Any]") -# AsyncPageT = TypeVar("AsyncPageT", bound="BaseAsyncPage[Any]") - -_T = TypeVar("_T") -_T_co = TypeVar("_T_co", covariant=True) - -if TYPE_CHECKING: - from httpx._config import DEFAULT_TIMEOUT_CONFIG as HTTPX_DEFAULT_TIMEOUT -else: - try: - from httpx._config import DEFAULT_TIMEOUT_CONFIG as HTTPX_DEFAULT_TIMEOUT - except ImportError: - # taken from https://github.com/encode/httpx/blob/3ba5fe0d7ac70222590e759c31442b1cab263791/httpx/_config.py#L366 - HTTPX_DEFAULT_TIMEOUT = Timeout(5.0) - - -headers = { - "Accept": "application/json", - "Content-Type": "application/json; charset=UTF-8", -} - - -class PageInfo: - """Stores the necessary information to build the request to retrieve the next page. - - Either `url` or `params` must be set. - """ - - url: URL | NotGiven - params: Query | NotGiven - - @overload - def __init__( - self, - *, - url: URL, - ) -> None: ... - - @overload - def __init__( - self, - *, - params: Query, - ) -> None: ... - - def __init__( - self, - *, - url: URL | NotGiven = NOT_GIVEN, - params: Query | NotGiven = NOT_GIVEN, - ) -> None: - self.url = url - self.params = params - - -class BasePage(GenericModel, Generic[_T]): - """ - Defines the core interface for pagination. - - Type Args: - ModelT: The pydantic model that represents an item in the response. - - Methods: - has_next_page(): Check if there is another page available - next_page_info(): Get the necessary information to make a request for the next page - """ - - _options: FinalRequestOptions = pydantic.PrivateAttr() - _model: type[_T] = pydantic.PrivateAttr() - - def has_next_page(self) -> bool: - items = self._get_page_items() - if not items: - return False - return self.next_page_info() is not None - - def next_page_info(self) -> Optional[PageInfo]: ... - - def _get_page_items(self) -> Iterable[_T]: # type: ignore[empty-body] - ... - - def _params_from_url(self, url: URL) -> httpx.QueryParams: - # TODO: do we have to preprocess params here? - return httpx.QueryParams(cast(Any, self._options.params)).merge(url.params) - - def _info_to_options(self, info: PageInfo) -> FinalRequestOptions: - options = model_copy(self._options) - options._strip_raw_response_header() - - if not isinstance(info.params, NotGiven): - options.params = {**options.params, **info.params} - return options - - if not isinstance(info.url, NotGiven): - params = self._params_from_url(info.url) - url = info.url.copy_with(params=params) - options.params = dict(url.params) - options.url = str(url) - return options - - raise ValueError("Unexpected PageInfo state") - - -class BaseSyncPage(BasePage[_T], Generic[_T]): - _client: HttpClient = pydantic.PrivateAttr() - - def _set_private_attributes( - self, - client: HttpClient, - model: type[_T], - options: FinalRequestOptions, - ) -> None: - self._model = model - self._client = client - self._options = options - - # Pydantic uses a custom `__iter__` method to support casting BaseModels - # to dictionaries. e.g. dict(model). - # As we want to support `for item in page`, this is inherently incompatible - # with the default pydantic behavior. It is not possible to support both - # use cases at once. Fortunately, this is not a big deal as all other pydantic - # methods should continue to work as expected as there is an alternative method - # to cast a model to a dictionary, model.dict(), which is used internally - # by pydantic. - def __iter__(self) -> Iterator[_T]: # type: ignore - for page in self.iter_pages(): - yield from page._get_page_items() - - def iter_pages(self: SyncPageT) -> Iterator[SyncPageT]: - page = self - while True: - yield page - if page.has_next_page(): - page = page.get_next_page() - else: - return - - def get_next_page(self: SyncPageT) -> SyncPageT: - info = self.next_page_info() - if not info: - raise RuntimeError( - "No next page expected; please check `.has_next_page()` before calling `.get_next_page()`." - ) - - options = self._info_to_options(info) - return self._client._request_api_list(self._model, page=self.__class__, options=options) - - -class HttpClient: - _client: httpx.Client - _version: str - _base_url: URL - max_retries: int - timeout: Union[float, Timeout, None] - _limits: httpx.Limits - _has_custom_http_client: bool - _default_stream_cls: type[StreamResponse[Any]] | None = None - - _strict_response_validation: bool - - def __init__( - self, - *, - version: str, - base_url: URL, - _strict_response_validation: bool, - max_retries: int = ZHIPUAI_DEFAULT_MAX_RETRIES, - timeout: Union[float, Timeout, None], - limits: httpx.Limits | None = None, - custom_httpx_client: httpx.Client | None = None, - custom_headers: Mapping[str, str] | None = None, - ) -> None: - if limits is not None: - warnings.warn( - "The `connection_pool_limits` argument is deprecated. The `http_client` argument should be passed instead", # noqa: E501 - category=DeprecationWarning, - stacklevel=3, - ) - if custom_httpx_client is not None: - raise ValueError("The `http_client` argument is mutually exclusive with `connection_pool_limits`") - else: - limits = ZHIPUAI_DEFAULT_LIMITS - - if not is_given(timeout): - if custom_httpx_client and custom_httpx_client.timeout != HTTPX_DEFAULT_TIMEOUT: - timeout = custom_httpx_client.timeout - else: - timeout = ZHIPUAI_DEFAULT_TIMEOUT - self.max_retries = max_retries - self.timeout = timeout - self._limits = limits - self._has_custom_http_client = bool(custom_httpx_client) - self._client = custom_httpx_client or httpx.Client( - base_url=base_url, - timeout=self.timeout, - limits=limits, - ) - self._version = version - url = URL(url=base_url) - if not url.raw_path.endswith(b"/"): - url = url.copy_with(raw_path=url.raw_path + b"/") - self._base_url = url - self._custom_headers = custom_headers or {} - self._strict_response_validation = _strict_response_validation - - def _prepare_url(self, url: str) -> URL: - sub_url = URL(url) - if sub_url.is_relative_url: - request_raw_url = self._base_url.raw_path + sub_url.raw_path.lstrip(b"/") - return self._base_url.copy_with(raw_path=request_raw_url) - - return sub_url - - @property - def _default_headers(self): - return { - "Accept": "application/json", - "Content-Type": "application/json; charset=UTF-8", - "ZhipuAI-SDK-Ver": self._version, - "source_type": "zhipu-sdk-python", - "x-request-sdk": "zhipu-sdk-python", - **self.auth_headers, - **self._custom_headers, - } - - @property - def custom_auth(self) -> httpx.Auth | None: - return None - - @property - def auth_headers(self): - return {} - - def _prepare_headers(self, options: FinalRequestOptions) -> httpx.Headers: - custom_headers = options.headers or {} - headers_dict = _merge_mappings(self._default_headers, custom_headers) - - httpx_headers = httpx.Headers(headers_dict) - - return httpx_headers - - def _remaining_retries( - self, - remaining_retries: Optional[int], - options: FinalRequestOptions, - ) -> int: - return remaining_retries if remaining_retries is not None else options.get_max_retries(self.max_retries) - - def _calculate_retry_timeout( - self, - remaining_retries: int, - options: FinalRequestOptions, - response_headers: Optional[httpx.Headers] = None, - ) -> float: - max_retries = options.get_max_retries(self.max_retries) - - # If the API asks us to wait a certain amount of time (and it's a reasonable amount), just do what it says. - # retry_after = self._parse_retry_after_header(response_headers) - # if retry_after is not None and 0 < retry_after <= 60: - # return retry_after - - nb_retries = max_retries - remaining_retries - - # Apply exponential backoff, but not more than the max. - sleep_seconds = min(INITIAL_RETRY_DELAY * pow(2.0, nb_retries), MAX_RETRY_DELAY) - - # Apply some jitter, plus-or-minus half a second. - jitter = 1 - 0.25 * random() - timeout = sleep_seconds * jitter - return max(timeout, 0) - - def _build_request(self, options: FinalRequestOptions) -> httpx.Request: - kwargs: dict[str, Any] = {} - headers = self._prepare_headers(options) - url = self._prepare_url(options.url) - json_data = options.json_data - if options.extra_json is not None: - if json_data is None: - json_data = cast(Body, options.extra_json) - elif is_mapping(json_data): - json_data = _merge_mappings(json_data, options.extra_json) - else: - raise RuntimeError(f"Unexpected JSON data type, {type(json_data)}, cannot merge with `extra_body`") - - content_type = headers.get("Content-Type") - # multipart/form-data; boundary=---abc-- - if headers.get("Content-Type") == "multipart/form-data": - if "boundary" not in content_type: - # only remove the header if the boundary hasn't been explicitly set - # as the caller doesn't want httpx to come up with their own boundary - headers.pop("Content-Type") - - if json_data: - kwargs["data"] = self._make_multipartform(json_data) - - return self._client.build_request( - headers=headers, - timeout=self.timeout if isinstance(options.timeout, NotGiven) else options.timeout, - method=options.method, - url=url, - json=json_data, - files=options.files, - params=options.params, - **kwargs, - ) - - def _object_to_formdata(self, key: str, value: Data | Mapping[object, object]) -> list[tuple[str, str]]: - items = [] - - if isinstance(value, Mapping): - for k, v in value.items(): - items.extend(self._object_to_formdata(f"{key}[{k}]", v)) - return items - if isinstance(value, list | tuple): - for v in value: - items.extend(self._object_to_formdata(key + "[]", v)) - return items - - def _primitive_value_to_str(val) -> str: - # copied from httpx - if val is True: - return "true" - elif val is False: - return "false" - elif val is None: - return "" - return str(val) - - str_data = _primitive_value_to_str(value) - - if not str_data: - return [] - return [(key, str_data)] - - def _make_multipartform(self, data: Mapping[object, object]) -> dict[str, object]: - items = flatten(list(starmap(self._object_to_formdata, data.items()))) - - serialized: dict[str, object] = {} - for key, value in items: - if key in serialized: - raise ValueError(f"存在重复的键: {key};") - serialized[key] = value - return serialized - - def _process_response_data( - self, - *, - data: object, - cast_type: type[ResponseT], - response: httpx.Response, - ) -> ResponseT: - if data is None: - return cast(ResponseT, None) - - if cast_type is object: - return cast(ResponseT, data) - - try: - if inspect.isclass(cast_type) and issubclass(cast_type, ModelBuilderProtocol): - return cast(ResponseT, cast_type.build(response=response, data=data)) - - if self._strict_response_validation: - return cast(ResponseT, validate_type(type_=cast_type, value=data)) - - return cast(ResponseT, construct_type(type_=cast_type, value=data)) - except pydantic.ValidationError as err: - raise APIResponseValidationError(response=response, json_data=data) from err - - def _should_stream_response_body(self, request: httpx.Request) -> bool: - return request.headers.get(RAW_RESPONSE_HEADER) == "stream" # type: ignore[no-any-return] - - def _should_retry(self, response: httpx.Response) -> bool: - # Note: this is not a standard header - should_retry_header = response.headers.get("x-should-retry") - - # If the server explicitly says whether or not to retry, obey. - if should_retry_header == "true": - log.debug("Retrying as header `x-should-retry` is set to `true`") - return True - if should_retry_header == "false": - log.debug("Not retrying as header `x-should-retry` is set to `false`") - return False - - # Retry on request timeouts. - if response.status_code == 408: - log.debug("Retrying due to status code %i", response.status_code) - return True - - # Retry on lock timeouts. - if response.status_code == 409: - log.debug("Retrying due to status code %i", response.status_code) - return True - - # Retry on rate limits. - if response.status_code == 429: - log.debug("Retrying due to status code %i", response.status_code) - return True - - # Retry internal errors. - if response.status_code >= 500: - log.debug("Retrying due to status code %i", response.status_code) - return True - - log.debug("Not retrying") - return False - - def is_closed(self) -> bool: - return self._client.is_closed - - def close(self): - self._client.close() - - def __enter__(self): - return self - - def __exit__(self, exc_type, exc_val, exc_tb): - self.close() - - def request( - self, - cast_type: type[ResponseT], - options: FinalRequestOptions, - remaining_retries: Optional[int] = None, - *, - stream: bool = False, - stream_cls: type[StreamResponse] | None = None, - ) -> ResponseT | StreamResponse: - return self._request( - cast_type=cast_type, - options=options, - stream=stream, - stream_cls=stream_cls, - remaining_retries=remaining_retries, - ) - - def _request( - self, - *, - cast_type: type[ResponseT], - options: FinalRequestOptions, - remaining_retries: int | None, - stream: bool, - stream_cls: type[StreamResponse] | None, - ) -> ResponseT | StreamResponse: - retries = self._remaining_retries(remaining_retries, options) - request = self._build_request(options) - - kwargs: HttpxSendArgs = {} - if self.custom_auth is not None: - kwargs["auth"] = self.custom_auth - try: - response = self._client.send( - request, - stream=stream or self._should_stream_response_body(request=request), - **kwargs, - ) - except httpx.TimeoutException as err: - log.debug("Encountered httpx.TimeoutException", exc_info=True) - - if retries > 0: - return self._retry_request( - options, - cast_type, - retries, - stream=stream, - stream_cls=stream_cls, - response_headers=None, - ) - - log.debug("Raising timeout error") - raise APITimeoutError(request=request) from err - except Exception as err: - log.debug("Encountered Exception", exc_info=True) - - if retries > 0: - return self._retry_request( - options, - cast_type, - retries, - stream=stream, - stream_cls=stream_cls, - response_headers=None, - ) - - log.debug("Raising connection error") - raise APIConnectionError(request=request) from err - - log.debug( - 'HTTP Request: %s %s "%i %s"', request.method, request.url, response.status_code, response.reason_phrase - ) - - try: - response.raise_for_status() - except httpx.HTTPStatusError as err: # thrown on 4xx and 5xx status code - log.debug("Encountered httpx.HTTPStatusError", exc_info=True) - - if retries > 0 and self._should_retry(err.response): - err.response.close() - return self._retry_request( - options, - cast_type, - retries, - err.response.headers, - stream=stream, - stream_cls=stream_cls, - ) - - # If the response is streamed then we need to explicitly read the response - # to completion before attempting to access the response text. - if not err.response.is_closed: - err.response.read() - - log.debug("Re-raising status error") - raise self._make_status_error(err.response) from None - - # return self._parse_response( - # cast_type=cast_type, - # options=options, - # response=response, - # stream=stream, - # stream_cls=stream_cls, - # ) - return self._process_response( - cast_type=cast_type, - options=options, - response=response, - stream=stream, - stream_cls=stream_cls, - ) - - def _retry_request( - self, - options: FinalRequestOptions, - cast_type: type[ResponseT], - remaining_retries: int, - response_headers: httpx.Headers | None, - *, - stream: bool, - stream_cls: type[StreamResponse] | None, - ) -> ResponseT | StreamResponse: - remaining = remaining_retries - 1 - if remaining == 1: - log.debug("1 retry left") - else: - log.debug("%i retries left", remaining) - - timeout = self._calculate_retry_timeout(remaining, options, response_headers) - log.info("Retrying request to %s in %f seconds", options.url, timeout) - - # In a synchronous context we are blocking the entire thread. Up to the library user to run the client in a - # different thread if necessary. - time.sleep(timeout) - - return self._request( - options=options, - cast_type=cast_type, - remaining_retries=remaining, - stream=stream, - stream_cls=stream_cls, - ) - - def _process_response( - self, - *, - cast_type: type[ResponseT], - options: FinalRequestOptions, - response: httpx.Response, - stream: bool, - stream_cls: type[StreamResponse] | None, - ) -> ResponseT: - # _legacy_response with raw_response_header to parser method - if response.request.headers.get(RAW_RESPONSE_HEADER) == "true": - return cast( - ResponseT, - LegacyAPIResponse( - raw=response, - client=self, - cast_type=cast_type, - stream=stream, - stream_cls=stream_cls, - options=options, - ), - ) - - origin = get_origin(cast_type) or cast_type - - if inspect.isclass(origin) and issubclass(origin, BaseAPIResponse): - if not issubclass(origin, APIResponse): - raise TypeError(f"API Response types must subclass {APIResponse}; Received {origin}") - - response_cls = cast("type[BaseAPIResponse[Any]]", cast_type) - return cast( - ResponseT, - response_cls( - raw=response, - client=self, - cast_type=extract_response_type(response_cls), - stream=stream, - stream_cls=stream_cls, - options=options, - ), - ) - - if cast_type == httpx.Response: - return cast(ResponseT, response) - - api_response = APIResponse( - raw=response, - client=self, - cast_type=cast("type[ResponseT]", cast_type), # pyright: ignore[reportUnnecessaryCast] - stream=stream, - stream_cls=stream_cls, - options=options, - ) - if bool(response.request.headers.get(RAW_RESPONSE_HEADER)): - return cast(ResponseT, api_response) - - return api_response.parse() - - def _request_api_list( - self, - model: type[object], - page: type[SyncPageT], - options: FinalRequestOptions, - ) -> SyncPageT: - def _parser(resp: SyncPageT) -> SyncPageT: - resp._set_private_attributes( - client=self, - model=model, - options=options, - ) - return resp - - options.post_parser = _parser - - return self.request(page, options, stream=False) - - @overload - def get( - self, - path: str, - *, - cast_type: type[ResponseT], - options: UserRequestInput = {}, - stream: Literal[False] = False, - ) -> ResponseT: ... - - @overload - def get( - self, - path: str, - *, - cast_type: type[ResponseT], - options: UserRequestInput = {}, - stream: Literal[True], - stream_cls: type[StreamResponse], - ) -> StreamResponse: ... - - @overload - def get( - self, - path: str, - *, - cast_type: type[ResponseT], - options: UserRequestInput = {}, - stream: bool, - stream_cls: type[StreamResponse] | None = None, - ) -> ResponseT | StreamResponse: ... - - def get( - self, - path: str, - *, - cast_type: type[ResponseT], - options: UserRequestInput = {}, - stream: bool = False, - stream_cls: type[StreamResponse] | None = None, - ) -> ResponseT: - opts = FinalRequestOptions.construct(method="get", url=path, **options) - return cast(ResponseT, self.request(cast_type, opts, stream=stream, stream_cls=stream_cls)) - - @overload - def post( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - files: RequestFiles | None = None, - stream: Literal[False] = False, - ) -> ResponseT: ... - - @overload - def post( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - files: RequestFiles | None = None, - stream: Literal[True], - stream_cls: type[StreamResponse], - ) -> StreamResponse: ... - - @overload - def post( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - files: RequestFiles | None = None, - stream: bool, - stream_cls: type[StreamResponse] | None = None, - ) -> ResponseT | StreamResponse: ... - - def post( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - files: RequestFiles | None = None, - stream: bool = False, - stream_cls: type[StreamResponse[Any]] | None = None, - ) -> ResponseT | StreamResponse: - opts = FinalRequestOptions.construct( - method="post", url=path, json_data=body, files=to_httpx_files(files), **options - ) - - return cast(ResponseT, self.request(cast_type, opts, stream=stream, stream_cls=stream_cls)) - - def patch( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - ) -> ResponseT: - opts = FinalRequestOptions.construct(method="patch", url=path, json_data=body, **options) - - return self.request( - cast_type=cast_type, - options=opts, - ) - - def put( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - files: RequestFiles | None = None, - ) -> ResponseT | StreamResponse: - opts = FinalRequestOptions.construct( - method="put", url=path, json_data=body, files=to_httpx_files(files), **options - ) - - return self.request( - cast_type=cast_type, - options=opts, - ) - - def delete( - self, - path: str, - *, - cast_type: type[ResponseT], - body: Body | None = None, - options: UserRequestInput = {}, - ) -> ResponseT | StreamResponse: - opts = FinalRequestOptions.construct(method="delete", url=path, json_data=body, **options) - - return self.request( - cast_type=cast_type, - options=opts, - ) - - def get_api_list( - self, - path: str, - *, - model: type[object], - page: type[SyncPageT], - body: Body | None = None, - options: UserRequestInput = {}, - method: str = "get", - ) -> SyncPageT: - opts = FinalRequestOptions.construct(method=method, url=path, json_data=body, **options) - return self._request_api_list(model, page, opts) - - def _make_status_error(self, response) -> APIStatusError: - response_text = response.text.strip() - status_code = response.status_code - error_msg = f"Error code: {status_code}, with error text {response_text}" - - if status_code == 400: - return _errors.APIRequestFailedError(message=error_msg, response=response) - elif status_code == 401: - return _errors.APIAuthenticationError(message=error_msg, response=response) - elif status_code == 429: - return _errors.APIReachLimitError(message=error_msg, response=response) - elif status_code == 500: - return _errors.APIInternalError(message=error_msg, response=response) - elif status_code == 503: - return _errors.APIServerFlowExceedError(message=error_msg, response=response) - return APIStatusError(message=error_msg, response=response) - - -def make_request_options( - *, - query: Query | None = None, - extra_headers: Headers | None = None, - extra_query: Query | None = None, - extra_body: Body | None = None, - timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, - post_parser: PostParser | NotGiven = NOT_GIVEN, -) -> UserRequestInput: - """Create a dict of type RequestOptions without keys of NotGiven values.""" - options: UserRequestInput = {} - if extra_headers is not None: - options["headers"] = extra_headers - - if extra_body is not None: - options["extra_json"] = cast(AnyMapping, extra_body) - - if query is not None: - options["params"] = query - - if extra_query is not None: - options["params"] = {**options.get("params", {}), **extra_query} - - if not isinstance(timeout, NotGiven): - options["timeout"] = timeout - - if is_given(post_parser): - # internal - options["post_parser"] = post_parser # type: ignore - - return options - - -def _merge_mappings( - obj1: Mapping[_T_co, Union[_T, Omit]], - obj2: Mapping[_T_co, Union[_T, Omit]], -) -> dict[_T_co, _T]: - """Merge two mappings of the same type, removing any values that are instances of `Omit`. - - In cases with duplicate keys the second mapping takes precedence. - """ - merged = {**obj1, **obj2} - return {key: value for key, value in merged.items() if not isinstance(value, Omit)} diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_jwt_token.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_jwt_token.py deleted file mode 100644 index 21f158a5f4..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_jwt_token.py +++ /dev/null @@ -1,31 +0,0 @@ -import time - -import cachetools.func -import jwt - -# 缓存时间 3分钟 -CACHE_TTL_SECONDS = 3 * 60 - -# token 有效期比缓存时间 多30秒 -API_TOKEN_TTL_SECONDS = CACHE_TTL_SECONDS + 30 - - -@cachetools.func.ttl_cache(maxsize=10, ttl=CACHE_TTL_SECONDS) -def generate_token(apikey: str): - try: - api_key, secret = apikey.split(".") - except Exception as e: - raise Exception("invalid api_key", e) - - payload = { - "api_key": api_key, - "exp": int(round(time.time() * 1000)) + API_TOKEN_TTL_SECONDS * 1000, - "timestamp": int(round(time.time() * 1000)), - } - ret = jwt.encode( - payload, - secret, - algorithm="HS256", - headers={"alg": "HS256", "sign_type": "SIGN"}, - ) - return ret diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_binary_response.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_binary_response.py deleted file mode 100644 index 51623bd860..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_binary_response.py +++ /dev/null @@ -1,207 +0,0 @@ -from __future__ import annotations - -import os -from collections.abc import AsyncIterator, Iterator -from typing import Any - -import httpx - - -class HttpxResponseContent: - @property - def content(self) -> bytes: - raise NotImplementedError("This method is not implemented for this class.") - - @property - def text(self) -> str: - raise NotImplementedError("This method is not implemented for this class.") - - @property - def encoding(self) -> str | None: - raise NotImplementedError("This method is not implemented for this class.") - - @property - def charset_encoding(self) -> str | None: - raise NotImplementedError("This method is not implemented for this class.") - - def json(self, **kwargs: Any) -> Any: - raise NotImplementedError("This method is not implemented for this class.") - - def read(self) -> bytes: - raise NotImplementedError("This method is not implemented for this class.") - - def iter_bytes(self, chunk_size: int | None = None) -> Iterator[bytes]: - raise NotImplementedError("This method is not implemented for this class.") - - def iter_text(self, chunk_size: int | None = None) -> Iterator[str]: - raise NotImplementedError("This method is not implemented for this class.") - - def iter_lines(self) -> Iterator[str]: - raise NotImplementedError("This method is not implemented for this class.") - - def iter_raw(self, chunk_size: int | None = None) -> Iterator[bytes]: - raise NotImplementedError("This method is not implemented for this class.") - - def write_to_file( - self, - file: str | os.PathLike[str], - ) -> None: - raise NotImplementedError("This method is not implemented for this class.") - - def stream_to_file( - self, - file: str | os.PathLike[str], - *, - chunk_size: int | None = None, - ) -> None: - raise NotImplementedError("This method is not implemented for this class.") - - def close(self) -> None: - raise NotImplementedError("This method is not implemented for this class.") - - async def aread(self) -> bytes: - raise NotImplementedError("This method is not implemented for this class.") - - async def aiter_bytes(self, chunk_size: int | None = None) -> AsyncIterator[bytes]: - raise NotImplementedError("This method is not implemented for this class.") - - async def aiter_text(self, chunk_size: int | None = None) -> AsyncIterator[str]: - raise NotImplementedError("This method is not implemented for this class.") - - async def aiter_lines(self) -> AsyncIterator[str]: - raise NotImplementedError("This method is not implemented for this class.") - - async def aiter_raw(self, chunk_size: int | None = None) -> AsyncIterator[bytes]: - raise NotImplementedError("This method is not implemented for this class.") - - async def astream_to_file( - self, - file: str | os.PathLike[str], - *, - chunk_size: int | None = None, - ) -> None: - raise NotImplementedError("This method is not implemented for this class.") - - async def aclose(self) -> None: - raise NotImplementedError("This method is not implemented for this class.") - - -class HttpxBinaryResponseContent(HttpxResponseContent): - response: httpx.Response - - def __init__(self, response: httpx.Response) -> None: - self.response = response - - @property - def content(self) -> bytes: - return self.response.content - - @property - def encoding(self) -> str | None: - return self.response.encoding - - @property - def charset_encoding(self) -> str | None: - return self.response.charset_encoding - - def read(self) -> bytes: - return self.response.read() - - def text(self) -> str: - raise NotImplementedError("Not implemented for binary response content") - - def json(self, **kwargs: Any) -> Any: - raise NotImplementedError("Not implemented for binary response content") - - def iter_text(self, chunk_size: int | None = None) -> Iterator[str]: - raise NotImplementedError("Not implemented for binary response content") - - def iter_lines(self) -> Iterator[str]: - raise NotImplementedError("Not implemented for binary response content") - - async def aiter_text(self, chunk_size: int | None = None) -> AsyncIterator[str]: - raise NotImplementedError("Not implemented for binary response content") - - async def aiter_lines(self) -> AsyncIterator[str]: - raise NotImplementedError("Not implemented for binary response content") - - def iter_bytes(self, chunk_size: int | None = None) -> Iterator[bytes]: - return self.response.iter_bytes(chunk_size) - - def iter_raw(self, chunk_size: int | None = None) -> Iterator[bytes]: - return self.response.iter_raw(chunk_size) - - def write_to_file( - self, - file: str | os.PathLike[str], - ) -> None: - """Write the output to the given file. - - Accepts a filename or any path-like object, e.g. pathlib.Path - - Note: if you want to stream the data to the file instead of writing - all at once then you should use `.with_streaming_response` when making - the API request, e.g. `client.with_streaming_response.foo().stream_to_file('my_filename.txt')` - """ - with open(file, mode="wb") as f: - for data in self.response.iter_bytes(): - f.write(data) - - def stream_to_file( - self, - file: str | os.PathLike[str], - *, - chunk_size: int | None = None, - ) -> None: - with open(file, mode="wb") as f: - for data in self.response.iter_bytes(chunk_size): - f.write(data) - - def close(self) -> None: - return self.response.close() - - async def aread(self) -> bytes: - return await self.response.aread() - - async def aiter_bytes(self, chunk_size: int | None = None) -> AsyncIterator[bytes]: - return self.response.aiter_bytes(chunk_size) - - async def aiter_raw(self, chunk_size: int | None = None) -> AsyncIterator[bytes]: - return self.response.aiter_raw(chunk_size) - - async def astream_to_file( - self, - file: str | os.PathLike[str], - *, - chunk_size: int | None = None, - ) -> None: - path = anyio.Path(file) - async with await path.open(mode="wb") as f: - async for data in self.response.aiter_bytes(chunk_size): - await f.write(data) - - async def aclose(self) -> None: - return await self.response.aclose() - - -class HttpxTextBinaryResponseContent(HttpxBinaryResponseContent): - response: httpx.Response - - @property - def text(self) -> str: - return self.response.text - - def json(self, **kwargs: Any) -> Any: - return self.response.json(**kwargs) - - def iter_text(self, chunk_size: int | None = None) -> Iterator[str]: - return self.response.iter_text(chunk_size) - - def iter_lines(self) -> Iterator[str]: - return self.response.iter_lines() - - async def aiter_text(self, chunk_size: int | None = None) -> AsyncIterator[str]: - return self.response.aiter_text(chunk_size) - - async def aiter_lines(self) -> AsyncIterator[str]: - return self.response.aiter_lines() diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_response.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_response.py deleted file mode 100644 index 51bf21bcdc..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_response.py +++ /dev/null @@ -1,341 +0,0 @@ -from __future__ import annotations - -import datetime -import functools -import inspect -import logging -from collections.abc import Callable -from typing import TYPE_CHECKING, Any, Generic, TypeVar, Union, cast, get_origin, overload - -import httpx -import pydantic -from typing_extensions import ParamSpec, override - -from ._base_models import BaseModel, is_basemodel -from ._base_type import NoneType -from ._constants import RAW_RESPONSE_HEADER -from ._errors import APIResponseValidationError -from ._legacy_binary_response import HttpxResponseContent, HttpxTextBinaryResponseContent -from ._sse_client import StreamResponse, extract_stream_chunk_type, is_stream_class_type -from ._utils import extract_type_arg, is_annotated_type, is_given - -if TYPE_CHECKING: - from ._http_client import HttpClient - from ._request_opt import FinalRequestOptions - -P = ParamSpec("P") -R = TypeVar("R") -_T = TypeVar("_T") - -log: logging.Logger = logging.getLogger(__name__) - - -class LegacyAPIResponse(Generic[R]): - """This is a legacy class as it will be replaced by `APIResponse` - and `AsyncAPIResponse` in the `_response.py` file in the next major - release. - - For the sync client this will mostly be the same with the exception - of `content` & `text` will be methods instead of properties. In the - async client, all methods will be async. - - A migration script will be provided & the migration in general should - be smooth. - """ - - _cast_type: type[R] - _client: HttpClient - _parsed_by_type: dict[type[Any], Any] - _stream: bool - _stream_cls: type[StreamResponse[Any]] | None - _options: FinalRequestOptions - - http_response: httpx.Response - - def __init__( - self, - *, - raw: httpx.Response, - cast_type: type[R], - client: HttpClient, - stream: bool, - stream_cls: type[StreamResponse[Any]] | None, - options: FinalRequestOptions, - ) -> None: - self._cast_type = cast_type - self._client = client - self._parsed_by_type = {} - self._stream = stream - self._stream_cls = stream_cls - self._options = options - self.http_response = raw - - @property - def request_id(self) -> str | None: - return self.http_response.headers.get("x-request-id") # type: ignore[no-any-return] - - @overload - def parse(self, *, to: type[_T]) -> _T: ... - - @overload - def parse(self) -> R: ... - - def parse(self, *, to: type[_T] | None = None) -> R | _T: - """Returns the rich python representation of this response's data. - - NOTE: For the async client: this will become a coroutine in the next major version. - - For lower-level control, see `.read()`, `.json()`, `.iter_bytes()`. - - You can customize the type that the response is parsed into through - the `to` argument, e.g. - - ```py - from zhipuai import BaseModel - - - class MyModel(BaseModel): - foo: str - - - obj = response.parse(to=MyModel) - print(obj.foo) - ``` - - We support parsing: - - `BaseModel` - - `dict` - - `list` - - `Union` - - `str` - - `int` - - `float` - - `httpx.Response` - """ - cache_key = to if to is not None else self._cast_type - cached = self._parsed_by_type.get(cache_key) - if cached is not None: - return cached # type: ignore[no-any-return] - - parsed = self._parse(to=to) - if is_given(self._options.post_parser): - parsed = self._options.post_parser(parsed) - - self._parsed_by_type[cache_key] = parsed - return parsed - - @property - def headers(self) -> httpx.Headers: - return self.http_response.headers - - @property - def http_request(self) -> httpx.Request: - return self.http_response.request - - @property - def status_code(self) -> int: - return self.http_response.status_code - - @property - def url(self) -> httpx.URL: - return self.http_response.url - - @property - def method(self) -> str: - return self.http_request.method - - @property - def content(self) -> bytes: - """Return the binary response content. - - NOTE: this will be removed in favour of `.read()` in the - next major version. - """ - return self.http_response.content - - @property - def text(self) -> str: - """Return the decoded response content. - - NOTE: this will be turned into a method in the next major version. - """ - return self.http_response.text - - @property - def http_version(self) -> str: - return self.http_response.http_version - - @property - def is_closed(self) -> bool: - return self.http_response.is_closed - - @property - def elapsed(self) -> datetime.timedelta: - """The time taken for the complete request/response cycle to complete.""" - return self.http_response.elapsed - - def _parse(self, *, to: type[_T] | None = None) -> R | _T: - # unwrap `Annotated[T, ...]` -> `T` - if to and is_annotated_type(to): - to = extract_type_arg(to, 0) - - if self._stream: - if to: - if not is_stream_class_type(to): - raise TypeError(f"Expected custom parse type to be a subclass of {StreamResponse}") - - return cast( - _T, - to( - cast_type=extract_stream_chunk_type( - to, - failure_message="Expected custom stream type to be passed with a type argument, e.g. StreamResponse[ChunkType]", # noqa: E501 - ), - response=self.http_response, - client=cast(Any, self._client), - ), - ) - - if self._stream_cls: - return cast( - R, - self._stream_cls( - cast_type=extract_stream_chunk_type(self._stream_cls), - response=self.http_response, - client=cast(Any, self._client), - ), - ) - - stream_cls = cast("type[StreamResponse[Any]] | None", self._client._default_stream_cls) - if stream_cls is None: - raise MissingStreamClassError() - - return cast( - R, - stream_cls( - cast_type=self._cast_type, - response=self.http_response, - client=cast(Any, self._client), - ), - ) - - cast_type = to if to is not None else self._cast_type - - # unwrap `Annotated[T, ...]` -> `T` - if is_annotated_type(cast_type): - cast_type = extract_type_arg(cast_type, 0) - - if cast_type is NoneType: - return cast(R, None) - - response = self.http_response - if cast_type == str: - return cast(R, response.text) - - if cast_type == int: - return cast(R, int(response.text)) - - if cast_type == float: - return cast(R, float(response.text)) - - origin = get_origin(cast_type) or cast_type - - if inspect.isclass(origin) and issubclass(origin, HttpxResponseContent): - # in the response, e.g. mime file - *_, filename = response.headers.get("content-disposition", "").split("filename=") - # 判断文件类型是jsonl类型的使用HttpxTextBinaryResponseContent - if filename and filename.endswith(".jsonl") or filename and filename.endswith(".xlsx"): - return cast(R, HttpxTextBinaryResponseContent(response)) - else: - return cast(R, cast_type(response)) # type: ignore - - if origin == LegacyAPIResponse: - raise RuntimeError("Unexpected state - cast_type is `APIResponse`") - - if inspect.isclass(origin) and issubclass(origin, httpx.Response): - # Because of the invariance of our ResponseT TypeVar, users can subclass httpx.Response - # and pass that class to our request functions. We cannot change the variance to be either - # covariant or contravariant as that makes our usage of ResponseT illegal. We could construct - # the response class ourselves but that is something that should be supported directly in httpx - # as it would be easy to incorrectly construct the Response object due to the multitude of arguments. - if cast_type != httpx.Response: - raise ValueError("Subclasses of httpx.Response cannot be passed to `cast_type`") - return cast(R, response) - - if inspect.isclass(origin) and not issubclass(origin, BaseModel) and issubclass(origin, pydantic.BaseModel): - raise TypeError("Pydantic models must subclass our base model type, e.g. `from openai import BaseModel`") - - if ( - cast_type is not object - and origin is not list - and origin is not dict - and origin is not Union - and not issubclass(origin, BaseModel) - ): - raise RuntimeError( - f"Unsupported type, expected {cast_type} to be a subclass of {BaseModel}, {dict}, {list}, {Union}, {NoneType}, {str} or {httpx.Response}." # noqa: E501 - ) - - # split is required to handle cases where additional information is included - # in the response, e.g. application/json; charset=utf-8 - content_type, *_ = response.headers.get("content-type", "*").split(";") - if content_type != "application/json": - if is_basemodel(cast_type): - try: - data = response.json() - except Exception as exc: - log.debug("Could not read JSON from response data due to %s - %s", type(exc), exc) - else: - return self._client._process_response_data( - data=data, - cast_type=cast_type, # type: ignore - response=response, - ) - - if self._client._strict_response_validation: - raise APIResponseValidationError( - response=response, - message=f"Expected Content-Type response header to be `application/json` but received `{content_type}` instead.", # noqa: E501 - json_data=response.text, - ) - - # If the API responds with content that isn't JSON then we just return - # the (decoded) text without performing any parsing so that you can still - # handle the response however you need to. - return response.text # type: ignore - - data = response.json() - - return self._client._process_response_data( - data=data, - cast_type=cast_type, # type: ignore - response=response, - ) - - @override - def __repr__(self) -> str: - return f"" - - -class MissingStreamClassError(TypeError): - def __init__(self) -> None: - super().__init__( - "The `stream` argument was set to `True` but the `stream_cls` argument was not given. See `openai._streaming` for reference", # noqa: E501 - ) - - -def to_raw_response_wrapper(func: Callable[P, R]) -> Callable[P, LegacyAPIResponse[R]]: - """Higher order function that takes one of our bound API methods and wraps it - to support returning the raw `APIResponse` object directly. - """ - - @functools.wraps(func) - def wrapped(*args: P.args, **kwargs: P.kwargs) -> LegacyAPIResponse[R]: - extra_headers: dict[str, str] = {**(cast(Any, kwargs.get("extra_headers")) or {})} - extra_headers[RAW_RESPONSE_HEADER] = "true" - - kwargs["extra_headers"] = extra_headers - - return cast(LegacyAPIResponse[R], func(*args, **kwargs)) - - return wrapped diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_request_opt.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_request_opt.py deleted file mode 100644 index c3b894b3a3..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_request_opt.py +++ /dev/null @@ -1,97 +0,0 @@ -from __future__ import annotations - -from collections.abc import Callable -from typing import TYPE_CHECKING, Any, ClassVar, Union, cast - -import pydantic.generics -from httpx import Timeout -from typing_extensions import Required, TypedDict, Unpack, final - -from ._base_compat import PYDANTIC_V2, ConfigDict -from ._base_type import AnyMapping, Body, Headers, HttpxRequestFiles, NotGiven, Query -from ._constants import RAW_RESPONSE_HEADER -from ._utils import is_given, strip_not_given - - -class UserRequestInput(TypedDict, total=False): - headers: Headers - max_retries: int - timeout: float | Timeout | None - params: Query - extra_json: AnyMapping - - -class FinalRequestOptionsInput(TypedDict, total=False): - method: Required[str] - url: Required[str] - params: Query - headers: Headers - max_retries: int - timeout: float | Timeout | None - files: HttpxRequestFiles | None - json_data: Body - extra_json: AnyMapping - - -@final -class FinalRequestOptions(pydantic.BaseModel): - method: str - url: str - params: Query = {} - headers: Union[Headers, NotGiven] = NotGiven() - max_retries: Union[int, NotGiven] = NotGiven() - timeout: Union[float, Timeout, None, NotGiven] = NotGiven() - files: Union[HttpxRequestFiles, None] = None - idempotency_key: Union[str, None] = None - post_parser: Union[Callable[[Any], Any], NotGiven] = NotGiven() - - # It should be noted that we cannot use `json` here as that would override - # a BaseModel method in an incompatible fashion. - json_data: Union[Body, None] = None - extra_json: Union[AnyMapping, None] = None - - if PYDANTIC_V2: - model_config: ClassVar[ConfigDict] = ConfigDict(arbitrary_types_allowed=True) - else: - - class Config(pydantic.BaseConfig): # pyright: ignore[reportDeprecated] - arbitrary_types_allowed: bool = True - - def get_max_retries(self, max_retries: int) -> int: - if isinstance(self.max_retries, NotGiven): - return max_retries - return self.max_retries - - def _strip_raw_response_header(self) -> None: - if not is_given(self.headers): - return - - if self.headers.get(RAW_RESPONSE_HEADER): - self.headers = {**self.headers} - self.headers.pop(RAW_RESPONSE_HEADER) - - # override the `construct` method so that we can run custom transformations. - # this is necessary as we don't want to do any actual runtime type checking - # (which means we can't use validators) but we do want to ensure that `NotGiven` - # values are not present - # - # type ignore required because we're adding explicit types to `**values` - @classmethod - def construct( # type: ignore - cls, - _fields_set: set[str] | None = None, - **values: Unpack[UserRequestInput], - ) -> FinalRequestOptions: - kwargs: dict[str, Any] = { - # we unconditionally call `strip_not_given` on any value - # as it will just ignore any non-mapping types - key: strip_not_given(value) - for key, value in values.items() - } - if PYDANTIC_V2: - return super().model_construct(_fields_set, **kwargs) - return cast(FinalRequestOptions, super().construct(_fields_set, **kwargs)) # pyright: ignore[reportDeprecated] - - if not TYPE_CHECKING: - # type checkers incorrectly complain about this assignment - model_construct = construct diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_response.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_response.py deleted file mode 100644 index 92e6018055..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_response.py +++ /dev/null @@ -1,398 +0,0 @@ -from __future__ import annotations - -import datetime -import inspect -import logging -from collections.abc import Iterator -from typing import TYPE_CHECKING, Any, Generic, TypeVar, Union, cast, get_origin, overload - -import httpx -import pydantic -from typing_extensions import ParamSpec, override - -from ._base_models import BaseModel, is_basemodel -from ._base_type import NoneType -from ._errors import APIResponseValidationError, ZhipuAIError -from ._sse_client import StreamResponse, extract_stream_chunk_type, is_stream_class_type -from ._utils import extract_type_arg, extract_type_var_from_base, is_annotated_type, is_given - -if TYPE_CHECKING: - from ._http_client import HttpClient - from ._request_opt import FinalRequestOptions - -P = ParamSpec("P") -R = TypeVar("R") -_T = TypeVar("_T") -_APIResponseT = TypeVar("_APIResponseT", bound="APIResponse[Any]") -log: logging.Logger = logging.getLogger(__name__) - - -class BaseAPIResponse(Generic[R]): - _cast_type: type[R] - _client: HttpClient - _parsed_by_type: dict[type[Any], Any] - _is_sse_stream: bool - _stream_cls: type[StreamResponse[Any]] - _options: FinalRequestOptions - http_response: httpx.Response - - def __init__( - self, - *, - raw: httpx.Response, - cast_type: type[R], - client: HttpClient, - stream: bool, - stream_cls: type[StreamResponse[Any]] | None = None, - options: FinalRequestOptions, - ) -> None: - self._cast_type = cast_type - self._client = client - self._parsed_by_type = {} - self._is_sse_stream = stream - self._stream_cls = stream_cls - self._options = options - self.http_response = raw - - def _parse(self, *, to: type[_T] | None = None) -> R | _T: - # unwrap `Annotated[T, ...]` -> `T` - if to and is_annotated_type(to): - to = extract_type_arg(to, 0) - - if self._is_sse_stream: - if to: - if not is_stream_class_type(to): - raise TypeError(f"Expected custom parse type to be a subclass of {StreamResponse}") - - return cast( - _T, - to( - cast_type=extract_stream_chunk_type( - to, - failure_message="Expected custom stream type to be passed with a type argument, e.g. StreamResponse[ChunkType]", # noqa: E501 - ), - response=self.http_response, - client=cast(Any, self._client), - ), - ) - - if self._stream_cls: - return cast( - R, - self._stream_cls( - cast_type=extract_stream_chunk_type(self._stream_cls), - response=self.http_response, - client=cast(Any, self._client), - ), - ) - - stream_cls = cast("type[Stream[Any]] | None", self._client._default_stream_cls) - if stream_cls is None: - raise MissingStreamClassError() - - return cast( - R, - stream_cls( - cast_type=self._cast_type, - response=self.http_response, - client=cast(Any, self._client), - ), - ) - - cast_type = to if to is not None else self._cast_type - - # unwrap `Annotated[T, ...]` -> `T` - if is_annotated_type(cast_type): - cast_type = extract_type_arg(cast_type, 0) - - if cast_type is NoneType: - return cast(R, None) - - response = self.http_response - if cast_type == str: - return cast(R, response.text) - - if cast_type == bytes: - return cast(R, response.content) - - if cast_type == int: - return cast(R, int(response.text)) - - if cast_type == float: - return cast(R, float(response.text)) - - origin = get_origin(cast_type) or cast_type - - # handle the legacy binary response case - if inspect.isclass(cast_type) and cast_type.__name__ == "HttpxBinaryResponseContent": - return cast(R, cast_type(response)) # type: ignore - - if origin == APIResponse: - raise RuntimeError("Unexpected state - cast_type is `APIResponse`") - - if inspect.isclass(origin) and issubclass(origin, httpx.Response): - # Because of the invariance of our ResponseT TypeVar, users can subclass httpx.Response - # and pass that class to our request functions. We cannot change the variance to be either - # covariant or contravariant as that makes our usage of ResponseT illegal. We could construct - # the response class ourselves but that is something that should be supported directly in httpx - # as it would be easy to incorrectly construct the Response object due to the multitude of arguments. - if cast_type != httpx.Response: - raise ValueError("Subclasses of httpx.Response cannot be passed to `cast_type`") - return cast(R, response) - - if inspect.isclass(origin) and not issubclass(origin, BaseModel) and issubclass(origin, pydantic.BaseModel): - raise TypeError("Pydantic models must subclass our base model type, e.g. `from openai import BaseModel`") - - if ( - cast_type is not object - and origin is not list - and origin is not dict - and origin is not Union - and not issubclass(origin, BaseModel) - ): - raise RuntimeError( - f"Unsupported type, expected {cast_type} to be a subclass of {BaseModel}, {dict}, {list}, {Union}, {NoneType}, {str} or {httpx.Response}." # noqa: E501 - ) - - # split is required to handle cases where additional information is included - # in the response, e.g. application/json; charset=utf-8 - content_type, *_ = response.headers.get("content-type", "*").split(";") - if content_type != "application/json": - if is_basemodel(cast_type): - try: - data = response.json() - except Exception as exc: - log.debug("Could not read JSON from response data due to %s - %s", type(exc), exc) - else: - return self._client._process_response_data( - data=data, - cast_type=cast_type, # type: ignore - response=response, - ) - - if self._client._strict_response_validation: - raise APIResponseValidationError( - response=response, - message=f"Expected Content-Type response header to be `application/json` but received `{content_type}` instead.", # noqa: E501 - json_data=response.text, - ) - - # If the API responds with content that isn't JSON then we just return - # the (decoded) text without performing any parsing so that you can still - # handle the response however you need to. - return response.text # type: ignore - - data = response.json() - - return self._client._process_response_data( - data=data, - cast_type=cast_type, # type: ignore - response=response, - ) - - @property - def headers(self) -> httpx.Headers: - return self.http_response.headers - - @property - def http_request(self) -> httpx.Request: - """Returns the httpx Request instance associated with the current response.""" - return self.http_response.request - - @property - def status_code(self) -> int: - return self.http_response.status_code - - @property - def url(self) -> httpx.URL: - """Returns the URL for which the request was made.""" - return self.http_response.url - - @property - def method(self) -> str: - return self.http_request.method - - @property - def http_version(self) -> str: - return self.http_response.http_version - - @property - def elapsed(self) -> datetime.timedelta: - """The time taken for the complete request/response cycle to complete.""" - return self.http_response.elapsed - - @property - def is_closed(self) -> bool: - """Whether or not the response body has been closed. - - If this is False then there is response data that has not been read yet. - You must either fully consume the response body or call `.close()` - before discarding the response to prevent resource leaks. - """ - return self.http_response.is_closed - - @override - def __repr__(self) -> str: - return f"<{self.__class__.__name__} [{self.status_code} {self.http_response.reason_phrase}] type={self._cast_type}>" # noqa: E501 - - -class APIResponse(BaseAPIResponse[R]): - @property - def request_id(self) -> str | None: - return self.http_response.headers.get("x-request-id") # type: ignore[no-any-return] - - @overload - def parse(self, *, to: type[_T]) -> _T: ... - - @overload - def parse(self) -> R: ... - - def parse(self, *, to: type[_T] | None = None) -> R | _T: - """Returns the rich python representation of this response's data. - - For lower-level control, see `.read()`, `.json()`, `.iter_bytes()`. - - You can customize the type that the response is parsed into through - the `to` argument, e.g. - - ```py - from openai import BaseModel - - - class MyModel(BaseModel): - foo: str - - - obj = response.parse(to=MyModel) - print(obj.foo) - ``` - - We support parsing: - - `BaseModel` - - `dict` - - `list` - - `Union` - - `str` - - `int` - - `float` - - `httpx.Response` - """ - cache_key = to if to is not None else self._cast_type - cached = self._parsed_by_type.get(cache_key) - if cached is not None: - return cached # type: ignore[no-any-return] - - if not self._is_sse_stream: - self.read() - - parsed = self._parse(to=to) - if is_given(self._options.post_parser): - parsed = self._options.post_parser(parsed) - - self._parsed_by_type[cache_key] = parsed - return parsed - - def read(self) -> bytes: - """Read and return the binary response content.""" - try: - return self.http_response.read() - except httpx.StreamConsumed as exc: - # The default error raised by httpx isn't very - # helpful in our case so we re-raise it with - # a different error message. - raise StreamAlreadyConsumed() from exc - - def text(self) -> str: - """Read and decode the response content into a string.""" - self.read() - return self.http_response.text - - def json(self) -> object: - """Read and decode the JSON response content.""" - self.read() - return self.http_response.json() - - def close(self) -> None: - """Close the response and release the connection. - - Automatically called if the response body is read to completion. - """ - self.http_response.close() - - def iter_bytes(self, chunk_size: int | None = None) -> Iterator[bytes]: - """ - A byte-iterator over the decoded response content. - - This automatically handles gzip, deflate and brotli encoded responses. - """ - yield from self.http_response.iter_bytes(chunk_size) - - def iter_text(self, chunk_size: int | None = None) -> Iterator[str]: - """A str-iterator over the decoded response content - that handles both gzip, deflate, etc but also detects the content's - string encoding. - """ - yield from self.http_response.iter_text(chunk_size) - - def iter_lines(self) -> Iterator[str]: - """Like `iter_text()` but will only yield chunks for each line""" - yield from self.http_response.iter_lines() - - -class MissingStreamClassError(TypeError): - def __init__(self) -> None: - super().__init__( - "The `stream` argument was set to `True` but the `stream_cls` argument was not given. See `openai._streaming` for reference", # noqa: E501 - ) - - -class StreamAlreadyConsumed(ZhipuAIError): # noqa: N818 - """ - Attempted to read or stream content, but the content has already - been streamed. - - This can happen if you use a method like `.iter_lines()` and then attempt - to read th entire response body afterwards, e.g. - - ```py - response = await client.post(...) - async for line in response.iter_lines(): - ... # do something with `line` - - content = await response.read() - # ^ error - ``` - - If you want this behavior you'll need to either manually accumulate the response - content or call `await response.read()` before iterating over the stream. - """ - - def __init__(self) -> None: - message = ( - "Attempted to read or stream some content, but the content has " - "already been streamed. " - "This could be due to attempting to stream the response " - "content more than once." - "\n\n" - "You can fix this by manually accumulating the response content while streaming " - "or by calling `.read()` before starting to stream." - ) - super().__init__(message) - - -def extract_response_type(typ: type[BaseAPIResponse[Any]]) -> type: - """Given a type like `APIResponse[T]`, returns the generic type variable `T`. - - This also handles the case where a concrete subclass is given, e.g. - ```py - class MyResponse(APIResponse[bytes]): - ... - - extract_response_type(MyResponse) -> bytes - ``` - """ - return extract_type_var_from_base( - typ, - generic_bases=cast("tuple[type, ...]", (BaseAPIResponse, APIResponse)), - index=0, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_sse_client.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_sse_client.py deleted file mode 100644 index cbc449d244..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_sse_client.py +++ /dev/null @@ -1,206 +0,0 @@ -from __future__ import annotations - -import inspect -import json -from collections.abc import Iterator, Mapping -from typing import TYPE_CHECKING, Generic, TypeGuard, cast - -import httpx - -from . import get_origin -from ._base_type import ResponseT -from ._errors import APIResponseError -from ._utils import extract_type_var_from_base, is_mapping - -_FIELD_SEPARATOR = ":" - -if TYPE_CHECKING: - from ._http_client import HttpClient - - -class StreamResponse(Generic[ResponseT]): - response: httpx.Response - _cast_type: type[ResponseT] - - def __init__( - self, - *, - cast_type: type[ResponseT], - response: httpx.Response, - client: HttpClient, - ) -> None: - self.response = response - self._cast_type = cast_type - self._data_process_func = client._process_response_data - self._stream_chunks = self.__stream__() - - def __next__(self) -> ResponseT: - return self._stream_chunks.__next__() - - def __iter__(self) -> Iterator[ResponseT]: - yield from self._stream_chunks - - def __stream__(self) -> Iterator[ResponseT]: - sse_line_parser = SSELineParser() - iterator = sse_line_parser.iter_lines(self.response.iter_lines()) - - for sse in iterator: - if sse.data.startswith("[DONE]"): - break - - if sse.event is None: - data = sse.json_data() - if isinstance(data, Mapping) and data.get("error"): - raise APIResponseError( - message="An error occurred during streaming", - request=self.response.request, - json_data=data["error"], - ) - if sse.event is None: - data = sse.json_data() - if is_mapping(data) and data.get("error"): - message = None - error = data.get("error") - if is_mapping(error): - message = error.get("message") - if not message or not isinstance(message, str): - message = "An error occurred during streaming" - - raise APIResponseError( - message=message, - request=self.response.request, - json_data=data["error"], - ) - yield self._data_process_func(data=data, cast_type=self._cast_type, response=self.response) - - else: - data = sse.json_data() - - if sse.event == "error" and is_mapping(data) and data.get("error"): - message = None - error = data.get("error") - if is_mapping(error): - message = error.get("message") - if not message or not isinstance(message, str): - message = "An error occurred during streaming" - - raise APIResponseError( - message=message, - request=self.response.request, - json_data=data["error"], - ) - yield self._data_process_func(data=data, cast_type=self._cast_type, response=self.response) - - for sse in iterator: - pass - - -class Event: - def __init__( - self, event: str | None = None, data: str | None = None, id: str | None = None, retry: int | None = None - ): - self._event = event - self._data = data - self._id = id - self._retry = retry - - def __repr__(self): - data_len = len(self._data) if self._data else 0 - return ( - f"Event(event={self._event}, data={self._data} ,data_length={data_len}, id={self._id}, retry={self._retry}" - ) - - @property - def event(self): - return self._event - - @property - def data(self): - return self._data - - def json_data(self): - return json.loads(self._data) - - @property - def id(self): - return self._id - - @property - def retry(self): - return self._retry - - -class SSELineParser: - _data: list[str] - _event: str | None - _retry: int | None - _id: str | None - - def __init__(self): - self._event = None - self._data = [] - self._id = None - self._retry = None - - def iter_lines(self, lines: Iterator[str]) -> Iterator[Event]: - for line in lines: - line = line.rstrip("\n") - if not line: - if self._event is None and not self._data and self._id is None and self._retry is None: - continue - sse_event = Event(event=self._event, data="\n".join(self._data), id=self._id, retry=self._retry) - self._event = None - self._data = [] - self._id = None - self._retry = None - - yield sse_event - self.decode_line(line) - - def decode_line(self, line: str): - if line.startswith(":") or not line: - return - - field, _p, value = line.partition(":") - - value = value.removeprefix(" ") - if field == "data": - self._data.append(value) - elif field == "event": - self._event = value - elif field == "retry": - try: - self._retry = int(value) - except (TypeError, ValueError): - pass - return - - -def is_stream_class_type(typ: type) -> TypeGuard[type[StreamResponse[object]]]: - """TypeGuard for determining whether or not the given type is a subclass of `Stream` / `AsyncStream`""" - origin = get_origin(typ) or typ - return inspect.isclass(origin) and issubclass(origin, StreamResponse) - - -def extract_stream_chunk_type( - stream_cls: type, - *, - failure_message: str | None = None, -) -> type: - """Given a type like `StreamResponse[T]`, returns the generic type variable `T`. - - This also handles the case where a concrete subclass is given, e.g. - ```py - class MyStream(StreamResponse[bytes]): - ... - - extract_stream_chunk_type(MyStream) -> bytes - ``` - """ - - return extract_type_var_from_base( - stream_cls, - index=0, - generic_bases=cast("tuple[type, ...]", (StreamResponse,)), - failure_message=failure_message, - ) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/__init__.py deleted file mode 100644 index a66b095816..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/__init__.py +++ /dev/null @@ -1,52 +0,0 @@ -from ._utils import ( # noqa: I001 - remove_notgiven_indict as remove_notgiven_indict, # noqa: PLC0414 - flatten as flatten, # noqa: PLC0414 - is_dict as is_dict, # noqa: PLC0414 - is_list as is_list, # noqa: PLC0414 - is_given as is_given, # noqa: PLC0414 - is_tuple as is_tuple, # noqa: PLC0414 - is_mapping as is_mapping, # noqa: PLC0414 - is_tuple_t as is_tuple_t, # noqa: PLC0414 - parse_date as parse_date, # noqa: PLC0414 - is_iterable as is_iterable, # noqa: PLC0414 - is_sequence as is_sequence, # noqa: PLC0414 - coerce_float as coerce_float, # noqa: PLC0414 - is_mapping_t as is_mapping_t, # noqa: PLC0414 - removeprefix as removeprefix, # noqa: PLC0414 - removesuffix as removesuffix, # noqa: PLC0414 - extract_files as extract_files, # noqa: PLC0414 - is_sequence_t as is_sequence_t, # noqa: PLC0414 - required_args as required_args, # noqa: PLC0414 - coerce_boolean as coerce_boolean, # noqa: PLC0414 - coerce_integer as coerce_integer, # noqa: PLC0414 - file_from_path as file_from_path, # noqa: PLC0414 - parse_datetime as parse_datetime, # noqa: PLC0414 - strip_not_given as strip_not_given, # noqa: PLC0414 - deepcopy_minimal as deepcopy_minimal, # noqa: PLC0414 - get_async_library as get_async_library, # noqa: PLC0414 - maybe_coerce_float as maybe_coerce_float, # noqa: PLC0414 - get_required_header as get_required_header, # noqa: PLC0414 - maybe_coerce_boolean as maybe_coerce_boolean, # noqa: PLC0414 - maybe_coerce_integer as maybe_coerce_integer, # noqa: PLC0414 - drop_prefix_image_data as drop_prefix_image_data, # noqa: PLC0414 -) - - -from ._typing import ( - is_list_type as is_list_type, # noqa: PLC0414 - is_union_type as is_union_type, # noqa: PLC0414 - extract_type_arg as extract_type_arg, # noqa: PLC0414 - is_iterable_type as is_iterable_type, # noqa: PLC0414 - is_required_type as is_required_type, # noqa: PLC0414 - is_annotated_type as is_annotated_type, # noqa: PLC0414 - strip_annotated_type as strip_annotated_type, # noqa: PLC0414 - extract_type_var_from_base as extract_type_var_from_base, # noqa: PLC0414 -) - -from ._transform import ( - PropertyInfo as PropertyInfo, # noqa: PLC0414 - transform as transform, # noqa: PLC0414 - async_transform as async_transform, # noqa: PLC0414 - maybe_transform as maybe_transform, # noqa: PLC0414 - async_maybe_transform as async_maybe_transform, # noqa: PLC0414 -) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_transform.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_transform.py deleted file mode 100644 index e8ef1f7935..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_transform.py +++ /dev/null @@ -1,383 +0,0 @@ -from __future__ import annotations - -import base64 -import io -import pathlib -from collections.abc import Mapping -from datetime import date, datetime -from typing import Any, Literal, TypeVar, cast, get_args, get_type_hints - -import anyio -import pydantic -from typing_extensions import override - -from .._base_compat import is_typeddict, model_dump -from .._files import is_base64_file_input -from ._typing import ( - extract_type_arg, - is_annotated_type, - is_iterable_type, - is_list_type, - is_required_type, - is_union_type, - strip_annotated_type, -) -from ._utils import ( - is_iterable, - is_list, - is_mapping, -) - -_T = TypeVar("_T") - - -# TODO: support for drilling globals() and locals() -# TODO: ensure works correctly with forward references in all cases - - -PropertyFormat = Literal["iso8601", "base64", "custom"] - - -class PropertyInfo: - """Metadata class to be used in Annotated types to provide information about a given type. - - For example: - - class MyParams(TypedDict): - account_holder_name: Annotated[str, PropertyInfo(alias='accountHolderName')] - - This means that {'account_holder_name': 'Robert'} will be transformed to {'accountHolderName': 'Robert'} before being sent to the API. - """ # noqa: E501 - - alias: str | None - format: PropertyFormat | None - format_template: str | None - discriminator: str | None - - def __init__( - self, - *, - alias: str | None = None, - format: PropertyFormat | None = None, - format_template: str | None = None, - discriminator: str | None = None, - ) -> None: - self.alias = alias - self.format = format - self.format_template = format_template - self.discriminator = discriminator - - @override - def __repr__(self) -> str: - return f"{self.__class__.__name__}(alias='{self.alias}', format={self.format}, format_template='{self.format_template}', discriminator='{self.discriminator}')" # noqa: E501 - - -def maybe_transform( - data: object, - expected_type: object, -) -> Any | None: - """Wrapper over `transform()` that allows `None` to be passed. - - See `transform()` for more details. - """ - if data is None: - return None - return transform(data, expected_type) - - -# Wrapper over _transform_recursive providing fake types -def transform( - data: _T, - expected_type: object, -) -> _T: - """Transform dictionaries based off of type information from the given type, for example: - - ```py - class Params(TypedDict, total=False): - card_id: Required[Annotated[str, PropertyInfo(alias="cardID")]] - - - transformed = transform({"card_id": ""}, Params) - # {'cardID': ''} - ``` - - Any keys / data that does not have type information given will be included as is. - - It should be noted that the transformations that this function does are not represented in the type system. - """ - transformed = _transform_recursive(data, annotation=cast(type, expected_type)) - return cast(_T, transformed) - - -def _get_annotated_type(type_: type) -> type | None: - """If the given type is an `Annotated` type then it is returned, if not `None` is returned. - - This also unwraps the type when applicable, e.g. `Required[Annotated[T, ...]]` - """ - if is_required_type(type_): - # Unwrap `Required[Annotated[T, ...]]` to `Annotated[T, ...]` - type_ = get_args(type_)[0] - - if is_annotated_type(type_): - return type_ - - return None - - -def _maybe_transform_key(key: str, type_: type) -> str: - """Transform the given `data` based on the annotations provided in `type_`. - - Note: this function only looks at `Annotated` types that contain `PropertInfo` metadata. - """ - annotated_type = _get_annotated_type(type_) - if annotated_type is None: - # no `Annotated` definition for this type, no transformation needed - return key - - # ignore the first argument as it is the actual type - annotations = get_args(annotated_type)[1:] - for annotation in annotations: - if isinstance(annotation, PropertyInfo) and annotation.alias is not None: - return annotation.alias - - return key - - -def _transform_recursive( - data: object, - *, - annotation: type, - inner_type: type | None = None, -) -> object: - """Transform the given data against the expected type. - - Args: - annotation: The direct type annotation given to the particular piece of data. - This may or may not be wrapped in metadata types, e.g. `Required[T]`, `Annotated[T, ...]` etc - - inner_type: If applicable, this is the "inside" type. This is useful in certain cases where the outside type - is a container type such as `List[T]`. In that case `inner_type` should be set to `T` so that each entry in - the list can be transformed using the metadata from the container type. - - Defaults to the same value as the `annotation` argument. - """ - if inner_type is None: - inner_type = annotation - - stripped_type = strip_annotated_type(inner_type) - if is_typeddict(stripped_type) and is_mapping(data): - return _transform_typeddict(data, stripped_type) - - if ( - # List[T] - (is_list_type(stripped_type) and is_list(data)) - # Iterable[T] - or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str)) - ): - inner_type = extract_type_arg(stripped_type, 0) - return [_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data] - - if is_union_type(stripped_type): - # For union types we run the transformation against all subtypes to ensure that everything is transformed. - # - # TODO: there may be edge cases where the same normalized field name will transform to two different names - # in different subtypes. - for subtype in get_args(stripped_type): - data = _transform_recursive(data, annotation=annotation, inner_type=subtype) - return data - - if isinstance(data, pydantic.BaseModel): - return model_dump(data, exclude_unset=True) - - annotated_type = _get_annotated_type(annotation) - if annotated_type is None: - return data - - # ignore the first argument as it is the actual type - annotations = get_args(annotated_type)[1:] - for annotation in annotations: - if isinstance(annotation, PropertyInfo) and annotation.format is not None: - return _format_data(data, annotation.format, annotation.format_template) - - return data - - -def _format_data(data: object, format_: PropertyFormat, format_template: str | None) -> object: - if isinstance(data, date | datetime): - if format_ == "iso8601": - return data.isoformat() - - if format_ == "custom" and format_template is not None: - return data.strftime(format_template) - - if format_ == "base64" and is_base64_file_input(data): - binary: str | bytes | None = None - - if isinstance(data, pathlib.Path): - binary = data.read_bytes() - elif isinstance(data, io.IOBase): - binary = data.read() - - if isinstance(binary, str): # type: ignore[unreachable] - binary = binary.encode() - - if not isinstance(binary, bytes): - raise RuntimeError(f"Could not read bytes from {data}; Received {type(binary)}") - - return base64.b64encode(binary).decode("ascii") - - return data - - -def _transform_typeddict( - data: Mapping[str, object], - expected_type: type, -) -> Mapping[str, object]: - result: dict[str, object] = {} - annotations = get_type_hints(expected_type, include_extras=True) - for key, value in data.items(): - type_ = annotations.get(key) - if type_ is None: - # we do not have a type annotation for this field, leave it as is - result[key] = value - else: - result[_maybe_transform_key(key, type_)] = _transform_recursive(value, annotation=type_) - return result - - -async def async_maybe_transform( - data: object, - expected_type: object, -) -> Any | None: - """Wrapper over `async_transform()` that allows `None` to be passed. - - See `async_transform()` for more details. - """ - if data is None: - return None - return await async_transform(data, expected_type) - - -async def async_transform( - data: _T, - expected_type: object, -) -> _T: - """Transform dictionaries based off of type information from the given type, for example: - - ```py - class Params(TypedDict, total=False): - card_id: Required[Annotated[str, PropertyInfo(alias="cardID")]] - - - transformed = transform({"card_id": ""}, Params) - # {'cardID': ''} - ``` - - Any keys / data that does not have type information given will be included as is. - - It should be noted that the transformations that this function does are not represented in the type system. - """ - transformed = await _async_transform_recursive(data, annotation=cast(type, expected_type)) - return cast(_T, transformed) - - -async def _async_transform_recursive( - data: object, - *, - annotation: type, - inner_type: type | None = None, -) -> object: - """Transform the given data against the expected type. - - Args: - annotation: The direct type annotation given to the particular piece of data. - This may or may not be wrapped in metadata types, e.g. `Required[T]`, `Annotated[T, ...]` etc - - inner_type: If applicable, this is the "inside" type. This is useful in certain cases where the outside type - is a container type such as `List[T]`. In that case `inner_type` should be set to `T` so that each entry in - the list can be transformed using the metadata from the container type. - - Defaults to the same value as the `annotation` argument. - """ - if inner_type is None: - inner_type = annotation - - stripped_type = strip_annotated_type(inner_type) - if is_typeddict(stripped_type) and is_mapping(data): - return await _async_transform_typeddict(data, stripped_type) - - if ( - # List[T] - (is_list_type(stripped_type) and is_list(data)) - # Iterable[T] - or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str)) - ): - inner_type = extract_type_arg(stripped_type, 0) - return [await _async_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data] - - if is_union_type(stripped_type): - # For union types we run the transformation against all subtypes to ensure that everything is transformed. - # - # TODO: there may be edge cases where the same normalized field name will transform to two different names - # in different subtypes. - for subtype in get_args(stripped_type): - data = await _async_transform_recursive(data, annotation=annotation, inner_type=subtype) - return data - - if isinstance(data, pydantic.BaseModel): - return model_dump(data, exclude_unset=True) - - annotated_type = _get_annotated_type(annotation) - if annotated_type is None: - return data - - # ignore the first argument as it is the actual type - annotations = get_args(annotated_type)[1:] - for annotation in annotations: - if isinstance(annotation, PropertyInfo) and annotation.format is not None: - return await _async_format_data(data, annotation.format, annotation.format_template) - - return data - - -async def _async_format_data(data: object, format_: PropertyFormat, format_template: str | None) -> object: - if isinstance(data, date | datetime): - if format_ == "iso8601": - return data.isoformat() - - if format_ == "custom" and format_template is not None: - return data.strftime(format_template) - - if format_ == "base64" and is_base64_file_input(data): - binary: str | bytes | None = None - - if isinstance(data, pathlib.Path): - binary = await anyio.Path(data).read_bytes() - elif isinstance(data, io.IOBase): - binary = data.read() - - if isinstance(binary, str): # type: ignore[unreachable] - binary = binary.encode() - - if not isinstance(binary, bytes): - raise RuntimeError(f"Could not read bytes from {data}; Received {type(binary)}") - - return base64.b64encode(binary).decode("ascii") - - return data - - -async def _async_transform_typeddict( - data: Mapping[str, object], - expected_type: type, -) -> Mapping[str, object]: - result: dict[str, object] = {} - annotations = get_type_hints(expected_type, include_extras=True) - for key, value in data.items(): - type_ = annotations.get(key) - if type_ is None: - # we do not have a type annotation for this field, leave it as is - result[key] = value - else: - result[_maybe_transform_key(key, type_)] = await _async_transform_recursive(value, annotation=type_) - return result diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_typing.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_typing.py deleted file mode 100644 index c7c54dcc37..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_typing.py +++ /dev/null @@ -1,122 +0,0 @@ -from __future__ import annotations - -from collections import abc as _c_abc -from collections.abc import Iterable -from typing import Annotated, Any, TypeVar, cast, get_args, get_origin - -from typing_extensions import Required - -from .._base_compat import is_union as _is_union -from .._base_type import InheritsGeneric - - -def is_annotated_type(typ: type) -> bool: - return get_origin(typ) == Annotated - - -def is_list_type(typ: type) -> bool: - return (get_origin(typ) or typ) == list - - -def is_iterable_type(typ: type) -> bool: - """If the given type is `typing.Iterable[T]`""" - origin = get_origin(typ) or typ - return origin in {Iterable, _c_abc.Iterable} - - -def is_union_type(typ: type) -> bool: - return _is_union(get_origin(typ)) - - -def is_required_type(typ: type) -> bool: - return get_origin(typ) == Required - - -def is_typevar(typ: type) -> bool: - # type ignore is required because type checkers - # think this expression will always return False - return type(typ) == TypeVar # type: ignore - - -# Extracts T from Annotated[T, ...] or from Required[Annotated[T, ...]] -def strip_annotated_type(typ: type) -> type: - if is_required_type(typ) or is_annotated_type(typ): - return strip_annotated_type(cast(type, get_args(typ)[0])) - - return typ - - -def extract_type_arg(typ: type, index: int) -> type: - args = get_args(typ) - try: - return cast(type, args[index]) - except IndexError as err: - raise RuntimeError(f"Expected type {typ} to have a type argument at index {index} but it did not") from err - - -def extract_type_var_from_base( - typ: type, - *, - generic_bases: tuple[type, ...], - index: int, - failure_message: str | None = None, -) -> type: - """Given a type like `Foo[T]`, returns the generic type variable `T`. - - This also handles the case where a concrete subclass is given, e.g. - ```py - class MyResponse(Foo[bytes]): - ... - - extract_type_var(MyResponse, bases=(Foo,), index=0) -> bytes - ``` - - And where a generic subclass is given: - ```py - _T = TypeVar('_T') - class MyResponse(Foo[_T]): - ... - - extract_type_var(MyResponse[bytes], bases=(Foo,), index=0) -> bytes - ``` - """ - cls = cast(object, get_origin(typ) or typ) - if cls in generic_bases: - # we're given the class directly - return extract_type_arg(typ, index) - - # if a subclass is given - # --- - # this is needed as __orig_bases__ is not present in the typeshed stubs - # because it is intended to be for internal use only, however there does - # not seem to be a way to resolve generic TypeVars for inherited subclasses - # without using it. - if isinstance(cls, InheritsGeneric): - target_base_class: Any | None = None - for base in cls.__orig_bases__: - if base.__origin__ in generic_bases: - target_base_class = base - break - - if target_base_class is None: - raise RuntimeError( - "Could not find the generic base class;\n" - "This should never happen;\n" - f"Does {cls} inherit from one of {generic_bases} ?" - ) - - extracted = extract_type_arg(target_base_class, index) - if is_typevar(extracted): - # If the extracted type argument is itself a type variable - # then that means the subclass itself is generic, so we have - # to resolve the type argument from the class itself, not - # the base class. - # - # Note: if there is more than 1 type argument, the subclass could - # change the ordering of the type arguments, this is not currently - # supported. - return extract_type_arg(typ, index) - - return extracted - - raise RuntimeError(failure_message or f"Could not resolve inner type variable at index {index} for {typ}") diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py deleted file mode 100644 index 3a7b234ab0..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_utils/_utils.py +++ /dev/null @@ -1,409 +0,0 @@ -from __future__ import annotations - -import functools -import inspect -import os -import re -from collections.abc import Callable, Iterable, Mapping, Sequence -from pathlib import Path -from typing import ( - Any, - TypeGuard, - TypeVar, - Union, - cast, - overload, -) - -import sniffio - -from .._base_compat import parse_date as parse_date # noqa: PLC0414 -from .._base_compat import parse_datetime as parse_datetime # noqa: PLC0414 -from .._base_type import FileTypes, Headers, HeadersLike, NotGiven, NotGivenOr - - -def remove_notgiven_indict(obj): - if obj is None or (not isinstance(obj, Mapping)): - return obj - return {key: value for key, value in obj.items() if not isinstance(value, NotGiven)} - - -_T = TypeVar("_T") -_TupleT = TypeVar("_TupleT", bound=tuple[object, ...]) -_MappingT = TypeVar("_MappingT", bound=Mapping[str, object]) -_SequenceT = TypeVar("_SequenceT", bound=Sequence[object]) -CallableT = TypeVar("CallableT", bound=Callable[..., Any]) - - -def flatten(t: Iterable[Iterable[_T]]) -> list[_T]: - return [item for sublist in t for item in sublist] - - -def extract_files( - # TODO: this needs to take Dict but variance issues..... - # create protocol type ? - query: Mapping[str, object], - *, - paths: Sequence[Sequence[str]], -) -> list[tuple[str, FileTypes]]: - """Recursively extract files from the given dictionary based on specified paths. - - A path may look like this ['foo', 'files', '', 'data']. - - Note: this mutates the given dictionary. - """ - files: list[tuple[str, FileTypes]] = [] - for path in paths: - files.extend(_extract_items(query, path, index=0, flattened_key=None)) - return files - - -def _extract_items( - obj: object, - path: Sequence[str], - *, - index: int, - flattened_key: str | None, -) -> list[tuple[str, FileTypes]]: - try: - key = path[index] - except IndexError: - if isinstance(obj, NotGiven): - # no value was provided - we can safely ignore - return [] - - # cyclical import - from .._files import assert_is_file_content - - # We have exhausted the path, return the entry we found. - assert_is_file_content(obj, key=flattened_key) - assert flattened_key is not None - return [(flattened_key, cast(FileTypes, obj))] - - index += 1 - if is_dict(obj): - try: - # We are at the last entry in the path so we must remove the field - if (len(path)) == index: - item = obj.pop(key) - else: - item = obj[key] - except KeyError: - # Key was not present in the dictionary, this is not indicative of an error - # as the given path may not point to a required field. We also do not want - # to enforce required fields as the API may differ from the spec in some cases. - return [] - if flattened_key is None: - flattened_key = key - else: - flattened_key += f"[{key}]" - return _extract_items( - item, - path, - index=index, - flattened_key=flattened_key, - ) - elif is_list(obj): - if key != "": - return [] - - return flatten( - [ - _extract_items( - item, - path, - index=index, - flattened_key=flattened_key + "[]" if flattened_key is not None else "[]", - ) - for item in obj - ] - ) - - # Something unexpected was passed, just ignore it. - return [] - - -def is_given(obj: NotGivenOr[_T]) -> TypeGuard[_T]: - return not isinstance(obj, NotGiven) - - -# Type safe methods for narrowing types with TypeVars. -# The default narrowing for isinstance(obj, dict) is dict[unknown, unknown], -# however this cause Pyright to rightfully report errors. As we know we don't -# care about the contained types we can safely use `object` in it's place. -# -# There are two separate functions defined, `is_*` and `is_*_t` for different use cases. -# `is_*` is for when you're dealing with an unknown input -# `is_*_t` is for when you're narrowing a known union type to a specific subset - - -def is_tuple(obj: object) -> TypeGuard[tuple[object, ...]]: - return isinstance(obj, tuple) - - -def is_tuple_t(obj: _TupleT | object) -> TypeGuard[_TupleT]: - return isinstance(obj, tuple) - - -def is_sequence(obj: object) -> TypeGuard[Sequence[object]]: - return isinstance(obj, Sequence) - - -def is_sequence_t(obj: _SequenceT | object) -> TypeGuard[_SequenceT]: - return isinstance(obj, Sequence) - - -def is_mapping(obj: object) -> TypeGuard[Mapping[str, object]]: - return isinstance(obj, Mapping) - - -def is_mapping_t(obj: _MappingT | object) -> TypeGuard[_MappingT]: - return isinstance(obj, Mapping) - - -def is_dict(obj: object) -> TypeGuard[dict[object, object]]: - return isinstance(obj, dict) - - -def is_list(obj: object) -> TypeGuard[list[object]]: - return isinstance(obj, list) - - -def is_iterable(obj: object) -> TypeGuard[Iterable[object]]: - return isinstance(obj, Iterable) - - -def deepcopy_minimal(item: _T) -> _T: - """Minimal reimplementation of copy.deepcopy() that will only copy certain object types: - - - mappings, e.g. `dict` - - list - - This is done for performance reasons. - """ - if is_mapping(item): - return cast(_T, {k: deepcopy_minimal(v) for k, v in item.items()}) - if is_list(item): - return cast(_T, [deepcopy_minimal(entry) for entry in item]) - return item - - -# copied from https://github.com/Rapptz/RoboDanny -def human_join(seq: Sequence[str], *, delim: str = ", ", final: str = "or") -> str: - size = len(seq) - if size == 0: - return "" - - if size == 1: - return seq[0] - - if size == 2: - return f"{seq[0]} {final} {seq[1]}" - - return delim.join(seq[:-1]) + f" {final} {seq[-1]}" - - -def quote(string: str) -> str: - """Add single quotation marks around the given string. Does *not* do any escaping.""" - return f"'{string}'" - - -def required_args(*variants: Sequence[str]) -> Callable[[CallableT], CallableT]: - """Decorator to enforce a given set of arguments or variants of arguments are passed to the decorated function. - - Useful for enforcing runtime validation of overloaded functions. - - Example usage: - ```py - @overload - def foo(*, a: str) -> str: - ... - - - @overload - def foo(*, b: bool) -> str: - ... - - - # This enforces the same constraints that a static type checker would - # i.e. that either a or b must be passed to the function - @required_args(["a"], ["b"]) - def foo(*, a: str | None = None, b: bool | None = None) -> str: - ... - ``` - """ - - def inner(func: CallableT) -> CallableT: - params = inspect.signature(func).parameters - positional = [ - name - for name, param in params.items() - if param.kind - in { - param.POSITIONAL_ONLY, - param.POSITIONAL_OR_KEYWORD, - } - ] - - @functools.wraps(func) - def wrapper(*args: object, **kwargs: object) -> object: - given_params: set[str] = set() - for i in range(len(args)): - try: - given_params.add(positional[i]) - except IndexError: - raise TypeError( - f"{func.__name__}() takes {len(positional)} argument(s) but {len(args)} were given" - ) from None - - given_params.update(kwargs.keys()) - - for variant in variants: - matches = all(param in given_params for param in variant) - if matches: - break - else: # no break - if len(variants) > 1: - variations = human_join( - ["(" + human_join([quote(arg) for arg in variant], final="and") + ")" for variant in variants] - ) - msg = f"Missing required arguments; Expected either {variations} arguments to be given" - else: - # TODO: this error message is not deterministic - missing = list(set(variants[0]) - given_params) - if len(missing) > 1: - msg = f"Missing required arguments: {human_join([quote(arg) for arg in missing])}" - else: - msg = f"Missing required argument: {quote(missing[0])}" - raise TypeError(msg) - return func(*args, **kwargs) - - return wrapper # type: ignore - - return inner - - -_K = TypeVar("_K") -_V = TypeVar("_V") - - -@overload -def strip_not_given(obj: None) -> None: ... - - -@overload -def strip_not_given(obj: Mapping[_K, _V | NotGiven]) -> dict[_K, _V]: ... - - -@overload -def strip_not_given(obj: object) -> object: ... - - -def strip_not_given(obj: object | None) -> object: - """Remove all top-level keys where their values are instances of `NotGiven`""" - if obj is None: - return None - - if not is_mapping(obj): - return obj - - return {key: value for key, value in obj.items() if not isinstance(value, NotGiven)} - - -def coerce_integer(val: str) -> int: - return int(val, base=10) - - -def coerce_float(val: str) -> float: - return float(val) - - -def coerce_boolean(val: str) -> bool: - return val in {"true", "1", "on"} - - -def maybe_coerce_integer(val: str | None) -> int | None: - if val is None: - return None - return coerce_integer(val) - - -def maybe_coerce_float(val: str | None) -> float | None: - if val is None: - return None - return coerce_float(val) - - -def maybe_coerce_boolean(val: str | None) -> bool | None: - if val is None: - return None - return coerce_boolean(val) - - -def removeprefix(string: str, prefix: str) -> str: - """Remove a prefix from a string. - - Backport of `str.removeprefix` for Python < 3.9 - """ - if string.startswith(prefix): - return string[len(prefix) :] - return string - - -def removesuffix(string: str, suffix: str) -> str: - """Remove a suffix from a string. - - Backport of `str.removesuffix` for Python < 3.9 - """ - if string.endswith(suffix): - return string[: -len(suffix)] - return string - - -def file_from_path(path: str) -> FileTypes: - contents = Path(path).read_bytes() - file_name = os.path.basename(path) - return (file_name, contents) - - -def get_required_header(headers: HeadersLike, header: str) -> str: - lower_header = header.lower() - if isinstance(headers, Mapping): - headers = cast(Headers, headers) - for k, v in headers.items(): - if k.lower() == lower_header and isinstance(v, str): - return v - - """ to deal with the case where the header looks like Stainless-Event-Id """ - intercaps_header = re.sub(r"([^\w])(\w)", lambda pat: pat.group(1) + pat.group(2).upper(), header.capitalize()) - - for normalized_header in [header, lower_header, header.upper(), intercaps_header]: - value = headers.get(normalized_header) - if value: - return value - - raise ValueError(f"Could not find {header} header") - - -def get_async_library() -> str: - try: - return sniffio.current_async_library() - except Exception: - return "false" - - -def drop_prefix_image_data(content: Union[str, list[dict]]) -> Union[str, list[dict]]: - """ - 删除 ;base64, 前缀 - :param image_data: - :return: - """ - if isinstance(content, list): - for data in content: - if data.get("type") == "image_url": - image_data = data.get("image_url").get("url") - if image_data.startswith("data:image/"): - image_data = image_data.split("base64,")[-1] - data["image_url"]["url"] = image_data - - return content diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/logs.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/logs.py deleted file mode 100644 index e5fce94c00..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/logs.py +++ /dev/null @@ -1,78 +0,0 @@ -import logging -import os -import time - -logger = logging.getLogger(__name__) - - -class LoggerNameFilter(logging.Filter): - def filter(self, record): - # return record.name.startswith("loom_core") or record.name in "ERROR" or ( - # record.name.startswith("uvicorn.error") - # and record.getMessage().startswith("Uvicorn running on") - # ) - return True - - -def get_log_file(log_path: str, sub_dir: str): - """ - sub_dir should contain a timestamp. - """ - log_dir = os.path.join(log_path, sub_dir) - # Here should be creating a new directory each time, so `exist_ok=False` - os.makedirs(log_dir, exist_ok=False) - return os.path.join(log_dir, "zhipuai.log") - - -def get_config_dict(log_level: str, log_file_path: str, log_backup_count: int, log_max_bytes: int) -> dict: - # for windows, the path should be a raw string. - log_file_path = log_file_path.encode("unicode-escape").decode() if os.name == "nt" else log_file_path - log_level = log_level.upper() - config_dict = { - "version": 1, - "disable_existing_loggers": False, - "formatters": { - "formatter": {"format": ("%(asctime)s %(name)-12s %(process)d %(levelname)-8s %(message)s")}, - }, - "filters": { - "logger_name_filter": { - "()": __name__ + ".LoggerNameFilter", - }, - }, - "handlers": { - "stream_handler": { - "class": "logging.StreamHandler", - "formatter": "formatter", - "level": log_level, - # "stream": "ext://sys.stdout", - # "filters": ["logger_name_filter"], - }, - "file_handler": { - "class": "logging.handlers.RotatingFileHandler", - "formatter": "formatter", - "level": log_level, - "filename": log_file_path, - "mode": "a", - "maxBytes": log_max_bytes, - "backupCount": log_backup_count, - "encoding": "utf8", - }, - }, - "loggers": { - "loom_core": { - "handlers": ["stream_handler", "file_handler"], - "level": log_level, - "propagate": False, - } - }, - "root": { - "level": log_level, - "handlers": ["stream_handler", "file_handler"], - }, - } - return config_dict - - -def get_timestamp_ms(): - t = time.time() - return int(round(t * 1000)) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/pagination.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/pagination.py deleted file mode 100644 index 7f0b1b91d9..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/pagination.py +++ /dev/null @@ -1,62 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Any, Generic, Optional, TypeVar, cast - -from typing_extensions import Protocol, override, runtime_checkable - -from ._http_client import BasePage, BaseSyncPage, PageInfo - -__all__ = ["SyncPage", "SyncCursorPage"] - -_T = TypeVar("_T") - - -@runtime_checkable -class CursorPageItem(Protocol): - id: Optional[str] - - -class SyncPage(BaseSyncPage[_T], BasePage[_T], Generic[_T]): - """Note: no pagination actually occurs yet, this is for forwards-compatibility.""" - - data: list[_T] - object: str - - @override - def _get_page_items(self) -> list[_T]: - data = self.data - if not data: - return [] - return data - - @override - def next_page_info(self) -> None: - """ - This page represents a response that isn't actually paginated at the API level - so there will never be a next page. - """ - return None - - -class SyncCursorPage(BaseSyncPage[_T], BasePage[_T], Generic[_T]): - data: list[_T] - - @override - def _get_page_items(self) -> list[_T]: - data = self.data - if not data: - return [] - return data - - @override - def next_page_info(self) -> Optional[PageInfo]: - data = self.data - if not data: - return None - - item = cast(Any, data[-1]) - if not isinstance(item, CursorPageItem) or item.id is None: - # TODO emit warning log - return None - - return PageInfo(params={"after": item.id}) diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/__init__.py deleted file mode 100644 index 9f941fb91c..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from .assistant_completion import AssistantCompletion - -__all__ = [ - "AssistantCompletion", -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_completion.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_completion.py deleted file mode 100644 index cbfb6edaeb..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_completion.py +++ /dev/null @@ -1,40 +0,0 @@ -from typing import Any, Optional - -from ...core import BaseModel -from .message import MessageContent - -__all__ = ["AssistantCompletion", "CompletionUsage"] - - -class ErrorInfo(BaseModel): - code: str # 错误码 - message: str # 错误信息 - - -class AssistantChoice(BaseModel): - index: int # 结果下标 - delta: MessageContent # 当前会话输出消息体 - finish_reason: str - """ - # 推理结束原因 stop代表推理自然结束或触发停止词。 sensitive 代表模型推理内容被安全审核接口拦截。请注意，针对此类内容，请用户自行判断并决定是否撤回已公开的内容。 - # network_error 代表模型推理服务异常。 - """ # noqa: E501 - metadata: dict # 元信息，拓展字段 - - -class CompletionUsage(BaseModel): - prompt_tokens: int # 输入的 tokens 数量 - completion_tokens: int # 输出的 tokens 数量 - total_tokens: int # 总 tokens 数量 - - -class AssistantCompletion(BaseModel): - id: str # 请求 ID - conversation_id: str # 会话 ID - assistant_id: str # 智能体 ID - created: int # 请求创建时间，Unix 时间戳 - status: str # 返回状态，包括：`completed` 表示生成结束`in_progress`表示生成中 `failed` 表示生成异常 - last_error: Optional[ErrorInfo] # 异常信息 - choices: list[AssistantChoice] # 增量返回的信息 - metadata: Optional[dict[str, Any]] # 元信息，拓展字段 - usage: Optional[CompletionUsage] # tokens 数量统计 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_conversation_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_conversation_params.py deleted file mode 100644 index 03f14f4238..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_conversation_params.py +++ /dev/null @@ -1,7 +0,0 @@ -from typing import TypedDict - - -class ConversationParameters(TypedDict, total=False): - assistant_id: str # 智能体 ID - page: int # 当前分页 - page_size: int # 分页数量 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_conversation_resp.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_conversation_resp.py deleted file mode 100644 index d1833d220a..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_conversation_resp.py +++ /dev/null @@ -1,29 +0,0 @@ -from ...core import BaseModel - -__all__ = ["ConversationUsageListResp"] - - -class Usage(BaseModel): - prompt_tokens: int # 用户输入的 tokens 数量 - completion_tokens: int # 模型输入的 tokens 数量 - total_tokens: int # 总 tokens 数量 - - -class ConversationUsage(BaseModel): - id: str # 会话 id - assistant_id: str # 智能体Assistant id - create_time: int # 创建时间 - update_time: int # 更新时间 - usage: Usage # 会话中 tokens 数量统计 - - -class ConversationUsageList(BaseModel): - assistant_id: str # 智能体id - has_more: bool # 是否还有更多页 - conversation_list: list[ConversationUsage] # 返回的 - - -class ConversationUsageListResp(BaseModel): - code: int - msg: str - data: ConversationUsageList diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_create_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_create_params.py deleted file mode 100644 index 2def1025cd..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_create_params.py +++ /dev/null @@ -1,32 +0,0 @@ -from typing import Optional, TypedDict, Union - - -class AssistantAttachments: - file_id: str - - -class MessageTextContent: - type: str # 目前支持 type = text - text: str - - -MessageContent = Union[MessageTextContent] - - -class ConversationMessage(TypedDict): - """会话消息体""" - - role: str # 用户的输入角色，例如 'user' - content: list[MessageContent] # 会话消息体的内容 - - -class AssistantParameters(TypedDict, total=False): - """智能体参数类""" - - assistant_id: str # 智能体 ID - conversation_id: Optional[str] # 会话 ID，不传则创建新会话 - model: str # 模型名称，默认为 'GLM-4-Assistant' - stream: bool # 是否支持流式 SSE，需要传入 True - messages: list[ConversationMessage] # 会话消息体 - attachments: Optional[list[AssistantAttachments]] # 会话指定的文件，非必填 - metadata: Optional[dict] # 元信息，拓展字段，非必填 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_support_resp.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_support_resp.py deleted file mode 100644 index 0709cdbcad..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/assistant_support_resp.py +++ /dev/null @@ -1,21 +0,0 @@ -from ...core import BaseModel - -__all__ = ["AssistantSupportResp"] - - -class AssistantSupport(BaseModel): - assistant_id: str # 智能体的 Assistant id，用于智能体会话 - created_at: int # 创建时间 - updated_at: int # 更新时间 - name: str # 智能体名称 - avatar: str # 智能体头像 - description: str # 智能体描述 - status: str # 智能体状态，目前只有 publish - tools: list[str] # 智能体支持的工具名 - starter_prompts: list[str] # 智能体启动推荐的 prompt - - -class AssistantSupportResp(BaseModel): - code: int - msg: str - data: list[AssistantSupport] # 智能体列表 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/__init__.py deleted file mode 100644 index 562e0151e5..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .message_content import MessageContent - -__all__ = ["MessageContent"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/message_content.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/message_content.py deleted file mode 100644 index 6a1a438a6f..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/message_content.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import Annotated, TypeAlias, Union - -from ....core._utils import PropertyInfo -from .text_content_block import TextContentBlock -from .tools_delta_block import ToolsDeltaBlock - -__all__ = ["MessageContent"] - - -MessageContent: TypeAlias = Annotated[ - Union[ToolsDeltaBlock, TextContentBlock], - PropertyInfo(discriminator="type"), -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/text_content_block.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/text_content_block.py deleted file mode 100644 index 865fb1139e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/text_content_block.py +++ /dev/null @@ -1,14 +0,0 @@ -from typing import Literal - -from ....core import BaseModel - -__all__ = ["TextContentBlock"] - - -class TextContentBlock(BaseModel): - content: str - - role: str = "assistant" - - type: Literal["content"] = "content" - """Always `content`.""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/code_interpreter_delta_block.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/code_interpreter_delta_block.py deleted file mode 100644 index 9d569b282e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/code_interpreter_delta_block.py +++ /dev/null @@ -1,27 +0,0 @@ -from typing import Literal - -__all__ = ["CodeInterpreterToolBlock"] - -from .....core import BaseModel - - -class CodeInterpreterToolOutput(BaseModel): - """代码工具输出结果""" - - type: str # 代码执行日志，目前只有 logs - logs: str # 代码执行的日志结果 - error_msg: str # 错误信息 - - -class CodeInterpreter(BaseModel): - """代码解释器""" - - input: str # 生成的代码片段，输入给代码沙盒 - outputs: list[CodeInterpreterToolOutput] # 代码执行后的输出结果 - - -class CodeInterpreterToolBlock(BaseModel): - """代码工具块""" - - code_interpreter: CodeInterpreter # 代码解释器对象 - type: Literal["code_interpreter"] # 调用工具的类型，始终为 `code_interpreter` diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/drawing_tool_delta_block.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/drawing_tool_delta_block.py deleted file mode 100644 index 0b6895556b..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/drawing_tool_delta_block.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Literal - -from .....core import BaseModel - -__all__ = ["DrawingToolBlock"] - - -class DrawingToolOutput(BaseModel): - image: str - - -class DrawingTool(BaseModel): - input: str - outputs: list[DrawingToolOutput] - - -class DrawingToolBlock(BaseModel): - drawing_tool: DrawingTool - - type: Literal["drawing_tool"] - """Always `drawing_tool`.""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/function_delta_block.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/function_delta_block.py deleted file mode 100644 index c439bc4b3f..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/function_delta_block.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Literal, Union - -__all__ = ["FunctionToolBlock"] - -from .....core import BaseModel - - -class FunctionToolOutput(BaseModel): - content: str - - -class FunctionTool(BaseModel): - name: str - arguments: Union[str, dict] - outputs: list[FunctionToolOutput] - - -class FunctionToolBlock(BaseModel): - function: FunctionTool - - type: Literal["function"] - """Always `drawing_tool`.""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/retrieval_delta_black.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/retrieval_delta_black.py deleted file mode 100644 index 4789e9378a..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/retrieval_delta_black.py +++ /dev/null @@ -1,41 +0,0 @@ -from typing import Literal - -from .....core import BaseModel - - -class RetrievalToolOutput(BaseModel): - """ - This class represents the output of a retrieval tool. - - Attributes: - - text (str): The text snippet retrieved from the knowledge base. - - document (str): The name of the document from which the text snippet was retrieved, returned only in intelligent configuration. - """ # noqa: E501 - - text: str - document: str - - -class RetrievalTool(BaseModel): - """ - This class represents the outputs of a retrieval tool. - - Attributes: - - outputs (List[RetrievalToolOutput]): A list of text snippets and their respective document names retrieved from the knowledge base. - """ # noqa: E501 - - outputs: list[RetrievalToolOutput] - - -class RetrievalToolBlock(BaseModel): - """ - This class represents a block for invoking the retrieval tool. - - Attributes: - - retrieval (RetrievalTool): An instance of the RetrievalTool class containing the retrieval outputs. - - type (Literal["retrieval"]): The type of tool being used, always set to "retrieval". - """ - - retrieval: RetrievalTool - type: Literal["retrieval"] - """Always `retrieval`.""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/tools_type.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/tools_type.py deleted file mode 100644 index 98544053d4..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/tools_type.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Annotated, TypeAlias, Union - -from .....core._utils import PropertyInfo -from .code_interpreter_delta_block import CodeInterpreterToolBlock -from .drawing_tool_delta_block import DrawingToolBlock -from .function_delta_block import FunctionToolBlock -from .retrieval_delta_black import RetrievalToolBlock -from .web_browser_delta_block import WebBrowserToolBlock - -__all__ = ["ToolsType"] - - -ToolsType: TypeAlias = Annotated[ - Union[DrawingToolBlock, CodeInterpreterToolBlock, WebBrowserToolBlock, RetrievalToolBlock, FunctionToolBlock], - PropertyInfo(discriminator="type"), -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/web_browser_delta_block.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/web_browser_delta_block.py deleted file mode 100644 index 966e6fe0c8..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools/web_browser_delta_block.py +++ /dev/null @@ -1,48 +0,0 @@ -from typing import Literal - -from .....core import BaseModel - -__all__ = ["WebBrowserToolBlock"] - - -class WebBrowserOutput(BaseModel): - """ - This class represents the output of a web browser search result. - - Attributes: - - title (str): The title of the search result. - - link (str): The URL link to the search result's webpage. - - content (str): The textual content extracted from the search result. - - error_msg (str): Any error message encountered during the search or retrieval process. - """ - - title: str - link: str - content: str - error_msg: str - - -class WebBrowser(BaseModel): - """ - This class represents the input and outputs of a web browser search. - - Attributes: - - input (str): The input query for the web browser search. - - outputs (List[WebBrowserOutput]): A list of search results returned by the web browser. - """ - - input: str - outputs: list[WebBrowserOutput] - - -class WebBrowserToolBlock(BaseModel): - """ - This class represents a block for invoking the web browser tool. - - Attributes: - - web_browser (WebBrowser): An instance of the WebBrowser class containing the search input and outputs. - - type (Literal["web_browser"]): The type of tool being used, always set to "web_browser". - """ - - web_browser: WebBrowser - type: Literal["web_browser"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools_delta_block.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools_delta_block.py deleted file mode 100644 index 781a1ab819..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/assistant/message/tools_delta_block.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Literal - -from ....core import BaseModel -from .tools.tools_type import ToolsType - -__all__ = ["ToolsDeltaBlock"] - - -class ToolsDeltaBlock(BaseModel): - tool_calls: list[ToolsType] - """The index of the content part in the message.""" - - role: str = "tool" - - type: Literal["tool_calls"] = "tool_calls" - """Always `tool_calls`.""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch.py deleted file mode 100644 index 560562915c..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch.py +++ /dev/null @@ -1,82 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -import builtins -from typing import Literal, Optional - -from ..core import BaseModel -from .batch_error import BatchError -from .batch_request_counts import BatchRequestCounts - -__all__ = ["Batch", "Errors"] - - -class Errors(BaseModel): - data: Optional[list[BatchError]] = None - - object: Optional[str] = None - """这个类型，一直是`list`。""" - - -class Batch(BaseModel): - id: str - - completion_window: str - """用于执行请求的地址信息。""" - - created_at: int - """这是 Unix timestamp (in seconds) 表示的创建时间。""" - - endpoint: str - """这是ZhipuAI endpoint的地址。""" - - input_file_id: str - """标记为batch的输入文件的ID。""" - - object: Literal["batch"] - """这个类型，一直是`batch`.""" - - status: Literal[ - "validating", "failed", "in_progress", "finalizing", "completed", "expired", "cancelling", "cancelled" - ] - """batch 的状态。""" - - cancelled_at: Optional[int] = None - """Unix timestamp (in seconds) 表示的取消时间。""" - - cancelling_at: Optional[int] = None - """Unix timestamp (in seconds) 表示发起取消的请求时间 """ - - completed_at: Optional[int] = None - """Unix timestamp (in seconds) 表示的完成时间。""" - - error_file_id: Optional[str] = None - """这个文件id包含了执行请求失败的请求的输出。""" - - errors: Optional[Errors] = None - - expired_at: Optional[int] = None - """Unix timestamp (in seconds) 表示的将在过期时间。""" - - expires_at: Optional[int] = None - """Unix timestamp (in seconds) 触发过期""" - - failed_at: Optional[int] = None - """Unix timestamp (in seconds) 表示的失败时间。""" - - finalizing_at: Optional[int] = None - """Unix timestamp (in seconds) 表示的最终时间。""" - - in_progress_at: Optional[int] = None - """Unix timestamp (in seconds) 表示的开始处理时间。""" - - metadata: Optional[builtins.object] = None - """ - key:value形式的元数据，以便将信息存储 - 结构化格式。键的长度是64个字符，值最长512个字符 - """ - - output_file_id: Optional[str] = None - """完成请求的输出文件的ID。""" - - request_counts: Optional[BatchRequestCounts] = None - """批次中不同状态的请求计数""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_create_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_create_params.py deleted file mode 100644 index 3dae65ea46..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_create_params.py +++ /dev/null @@ -1,37 +0,0 @@ -from __future__ import annotations - -from typing import Literal, Optional - -from typing_extensions import Required, TypedDict - -__all__ = ["BatchCreateParams"] - - -class BatchCreateParams(TypedDict, total=False): - completion_window: Required[str] - """The time frame within which the batch should be processed. - - Currently only `24h` is supported. - """ - - endpoint: Required[Literal["/v1/chat/completions", "/v1/embeddings"]] - """The endpoint to be used for all requests in the batch. - - Currently `/v1/chat/completions` and `/v1/embeddings` are supported. - """ - - input_file_id: Required[str] - """The ID of an uploaded file that contains requests for the new batch. - - See [upload file](https://platform.openai.com/docs/api-reference/files/create) - for how to upload a file. - - Your input file must be formatted as a - [JSONL file](https://platform.openai.com/docs/api-reference/batch/requestInput), - and must be uploaded with the purpose `batch`. - """ - - metadata: Optional[dict[str, str]] - """Optional custom metadata for the batch.""" - - auto_delete_input_file: Optional[bool] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_error.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_error.py deleted file mode 100644 index f934db1978..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_error.py +++ /dev/null @@ -1,21 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Optional - -from ..core import BaseModel - -__all__ = ["BatchError"] - - -class BatchError(BaseModel): - code: Optional[str] = None - """定义的业务错误码""" - - line: Optional[int] = None - """文件中的行号""" - - message: Optional[str] = None - """关于对话文件中的错误的描述""" - - param: Optional[str] = None - """参数名称，如果有的话""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_list_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_list_params.py deleted file mode 100644 index 1a68167132..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_list_params.py +++ /dev/null @@ -1,20 +0,0 @@ -from __future__ import annotations - -from typing_extensions import TypedDict - -__all__ = ["BatchListParams"] - - -class BatchListParams(TypedDict, total=False): - after: str - """分页的游标，用于获取下一页的数据。 - - `after` 是一个指向当前页面的游标，用于获取下一页的数据。如果没有提供 `after`，则返回第一页的数据。 - list. - """ - - limit: int - """这个参数用于限制返回的结果数量。 - - Limit 用于限制返回的结果数量。默认值为 10 - """ diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_request_counts.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_request_counts.py deleted file mode 100644 index ca3ccae625..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/batch_request_counts.py +++ /dev/null @@ -1,14 +0,0 @@ -from ..core import BaseModel - -__all__ = ["BatchRequestCounts"] - - -class BatchRequestCounts(BaseModel): - completed: int - """这个数字表示已经完成的请求。""" - - failed: int - """这个数字表示失败的请求。""" - - total: int - """这个数字表示总的请求。""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/async_chat_completion.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/async_chat_completion.py deleted file mode 100644 index c1eed070f3..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/async_chat_completion.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Optional - -from ...core import BaseModel -from .chat_completion import CompletionChoice, CompletionUsage - -__all__ = ["AsyncTaskStatus", "AsyncCompletion"] - - -class AsyncTaskStatus(BaseModel): - id: Optional[str] = None - request_id: Optional[str] = None - model: Optional[str] = None - task_status: Optional[str] = None - - -class AsyncCompletion(BaseModel): - id: Optional[str] = None - request_id: Optional[str] = None - model: Optional[str] = None - task_status: str - choices: list[CompletionChoice] - usage: CompletionUsage diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completion.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completion.py deleted file mode 100644 index 1945a826cd..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completion.py +++ /dev/null @@ -1,43 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - -__all__ = ["Completion", "CompletionUsage"] - - -class Function(BaseModel): - arguments: str - name: str - - -class CompletionMessageToolCall(BaseModel): - id: str - function: Function - type: str - - -class CompletionMessage(BaseModel): - content: Optional[str] = None - role: str - tool_calls: Optional[list[CompletionMessageToolCall]] = None - - -class CompletionUsage(BaseModel): - prompt_tokens: int - completion_tokens: int - total_tokens: int - - -class CompletionChoice(BaseModel): - index: int - finish_reason: str - message: CompletionMessage - - -class Completion(BaseModel): - model: Optional[str] = None - created: Optional[int] = None - choices: list[CompletionChoice] - request_id: Optional[str] = None - id: Optional[str] = None - usage: CompletionUsage diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completion_chunk.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completion_chunk.py deleted file mode 100644 index 27fad0008a..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completion_chunk.py +++ /dev/null @@ -1,57 +0,0 @@ -from typing import Any, Optional - -from ...core import BaseModel - -__all__ = [ - "CompletionUsage", - "ChatCompletionChunk", - "Choice", - "ChoiceDelta", - "ChoiceDeltaFunctionCall", - "ChoiceDeltaToolCall", - "ChoiceDeltaToolCallFunction", -] - - -class ChoiceDeltaFunctionCall(BaseModel): - arguments: Optional[str] = None - name: Optional[str] = None - - -class ChoiceDeltaToolCallFunction(BaseModel): - arguments: Optional[str] = None - name: Optional[str] = None - - -class ChoiceDeltaToolCall(BaseModel): - index: int - id: Optional[str] = None - function: Optional[ChoiceDeltaToolCallFunction] = None - type: Optional[str] = None - - -class ChoiceDelta(BaseModel): - content: Optional[str] = None - role: Optional[str] = None - tool_calls: Optional[list[ChoiceDeltaToolCall]] = None - - -class Choice(BaseModel): - delta: ChoiceDelta - finish_reason: Optional[str] = None - index: int - - -class CompletionUsage(BaseModel): - prompt_tokens: int - completion_tokens: int - total_tokens: int - - -class ChatCompletionChunk(BaseModel): - id: Optional[str] = None - choices: list[Choice] - created: Optional[int] = None - model: Optional[str] = None - usage: Optional[CompletionUsage] = None - extra_json: dict[str, Any] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completions_create_param.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completions_create_param.py deleted file mode 100644 index 6ee4dc4794..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/chat_completions_create_param.py +++ /dev/null @@ -1,8 +0,0 @@ -from typing import Optional - -from typing_extensions import TypedDict - - -class Reference(TypedDict, total=False): - enable: Optional[bool] - search_query: Optional[str] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/code_geex/code_geex_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/code_geex/code_geex_params.py deleted file mode 100644 index 666b38855c..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/code_geex/code_geex_params.py +++ /dev/null @@ -1,146 +0,0 @@ -from typing import Literal, Optional - -from typing_extensions import Required, TypedDict - -__all__ = [ - "CodeGeexTarget", - "CodeGeexContext", - "CodeGeexExtra", -] - - -class CodeGeexTarget(TypedDict, total=False): - """补全的内容参数""" - - path: Optional[str] - """文件路径""" - language: Required[ - Literal[ - "c", - "c++", - "cpp", - "c#", - "csharp", - "c-sharp", - "css", - "cuda", - "dart", - "lua", - "objectivec", - "objective-c", - "objective-c++", - "python", - "perl", - "prolog", - "swift", - "lisp", - "java", - "scala", - "tex", - "jsx", - "tsx", - "vue", - "markdown", - "html", - "php", - "js", - "javascript", - "typescript", - "go", - "shell", - "rust", - "sql", - "kotlin", - "vb", - "ruby", - "pascal", - "r", - "fortran", - "lean", - "matlab", - "delphi", - "scheme", - "basic", - "assembly", - "groovy", - "abap", - "gdscript", - "haskell", - "julia", - "elixir", - "excel", - "clojure", - "actionscript", - "solidity", - "powershell", - "erlang", - "cobol", - "alloy", - "awk", - "thrift", - "sparql", - "augeas", - "cmake", - "f-sharp", - "stan", - "isabelle", - "dockerfile", - "rmarkdown", - "literate-agda", - "tcl", - "glsl", - "antlr", - "verilog", - "racket", - "standard-ml", - "elm", - "yaml", - "smalltalk", - "ocaml", - "idris", - "visual-basic", - "protocol-buffer", - "bluespec", - "applescript", - "makefile", - "tcsh", - "maple", - "systemverilog", - "literate-coffeescript", - "vhdl", - "restructuredtext", - "sas", - "literate-haskell", - "java-server-pages", - "coffeescript", - "emacs-lisp", - "mathematica", - "xslt", - "zig", - "common-lisp", - "stata", - "agda", - "ada", - ] - ] - """代码语言类型，如python""" - code_prefix: Required[str] - """补全位置的前文""" - code_suffix: Required[str] - """补全位置的后文""" - - -class CodeGeexContext(TypedDict, total=False): - """附加代码""" - - path: Required[str] - """附加代码文件的路径""" - code: Required[str] - """附加的代码内容""" - - -class CodeGeexExtra(TypedDict, total=False): - target: Required[CodeGeexTarget] - """补全的内容参数""" - contexts: Optional[list[CodeGeexContext]] - """附加代码""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/embeddings.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/embeddings.py deleted file mode 100644 index 8425b5c866..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/embeddings.py +++ /dev/null @@ -1,21 +0,0 @@ -from __future__ import annotations - -from typing import Optional - -from ..core import BaseModel -from .chat.chat_completion import CompletionUsage - -__all__ = ["Embedding", "EmbeddingsResponded"] - - -class Embedding(BaseModel): - object: str - index: Optional[int] = None - embedding: list[float] - - -class EmbeddingsResponded(BaseModel): - object: str - data: list[Embedding] - model: str - usage: CompletionUsage diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/__init__.py deleted file mode 100644 index bbaf59e4d7..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -from .file_deleted import FileDeleted -from .file_object import FileObject, ListOfFileObject -from .upload_detail import UploadDetail - -__all__ = ["FileObject", "ListOfFileObject", "UploadDetail", "FileDeleted"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_create_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_create_params.py deleted file mode 100644 index 4ef93b1c05..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_create_params.py +++ /dev/null @@ -1,38 +0,0 @@ -from __future__ import annotations - -from typing import Literal, Optional - -from typing_extensions import Required, TypedDict - -__all__ = ["FileCreateParams"] - -from ...core import FileTypes -from . import UploadDetail - - -class FileCreateParams(TypedDict, total=False): - file: FileTypes - """file和 upload_detail二选一必填""" - - upload_detail: list[UploadDetail] - """file和 upload_detail二选一必填""" - - purpose: Required[Literal["fine-tune", "retrieval", "batch"]] - """ - 上传文件的用途，支持 "fine-tune和 "retrieval" - retrieval支持上传Doc、Docx、PDF、Xlsx、URL类型文件，且单个文件的大小不超过 5MB。 - fine-tune支持上传.jsonl文件且当前单个文件的大小最大可为 100 MB ，文件中语料格式需满足微调指南中所描述的格式。 - """ - custom_separator: Optional[list[str]] - """ - 当 purpose 为 retrieval 且文件类型为 pdf, url, docx 时上传，切片规则默认为 `\n`。 - """ - knowledge_id: str - """ - 当文件上传目的为 retrieval 时，需要指定知识库ID进行上传。 - """ - - sentence_size: int - """ - 当文件上传目的为 retrieval 时，需要指定知识库ID进行上传。 - """ diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_deleted.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_deleted.py deleted file mode 100644 index a384b1a69a..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_deleted.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import Literal - -from ...core import BaseModel - -__all__ = ["FileDeleted"] - - -class FileDeleted(BaseModel): - id: str - - deleted: bool - - object: Literal["file"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_object.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_object.py deleted file mode 100644 index 8f9d0fbb8e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/file_object.py +++ /dev/null @@ -1,22 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - -__all__ = ["FileObject", "ListOfFileObject"] - - -class FileObject(BaseModel): - id: Optional[str] = None - bytes: Optional[int] = None - created_at: Optional[int] = None - filename: Optional[str] = None - object: Optional[str] = None - purpose: Optional[str] = None - status: Optional[str] = None - status_details: Optional[str] = None - - -class ListOfFileObject(BaseModel): - object: Optional[str] = None - data: list[FileObject] - has_more: Optional[bool] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/upload_detail.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/upload_detail.py deleted file mode 100644 index 8f1ca5ce57..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/files/upload_detail.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - - -class UploadDetail(BaseModel): - url: str - knowledge_type: int - file_name: Optional[str] = None - sentence_size: Optional[int] = None - custom_separator: Optional[list[str]] = None - callback_url: Optional[str] = None - callback_header: Optional[dict[str, str]] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/__init__.py deleted file mode 100644 index 416f516ef7..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -from __future__ import annotations - -from .fine_tuning_job import FineTuningJob, ListOfFineTuningJob -from .fine_tuning_job_event import FineTuningJobEvent diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/fine_tuning_job.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/fine_tuning_job.py deleted file mode 100644 index 75c7553dbe..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/fine_tuning_job.py +++ /dev/null @@ -1,51 +0,0 @@ -from typing import Optional, Union - -from ...core import BaseModel - -__all__ = ["FineTuningJob", "Error", "Hyperparameters", "ListOfFineTuningJob"] - - -class Error(BaseModel): - code: str - message: str - param: Optional[str] = None - - -class Hyperparameters(BaseModel): - n_epochs: Union[str, int, None] = None - - -class FineTuningJob(BaseModel): - id: Optional[str] = None - - request_id: Optional[str] = None - - created_at: Optional[int] = None - - error: Optional[Error] = None - - fine_tuned_model: Optional[str] = None - - finished_at: Optional[int] = None - - hyperparameters: Optional[Hyperparameters] = None - - model: Optional[str] = None - - object: Optional[str] = None - - result_files: list[str] - - status: str - - trained_tokens: Optional[int] = None - - training_file: str - - validation_file: Optional[str] = None - - -class ListOfFineTuningJob(BaseModel): - object: Optional[str] = None - data: list[FineTuningJob] - has_more: Optional[bool] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/fine_tuning_job_event.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/fine_tuning_job_event.py deleted file mode 100644 index f996cff114..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/fine_tuning_job_event.py +++ /dev/null @@ -1,35 +0,0 @@ -from typing import Optional, Union - -from ...core import BaseModel - -__all__ = ["FineTuningJobEvent", "Metric", "JobEvent"] - - -class Metric(BaseModel): - epoch: Optional[Union[str, int, float]] = None - current_steps: Optional[int] = None - total_steps: Optional[int] = None - elapsed_time: Optional[str] = None - remaining_time: Optional[str] = None - trained_tokens: Optional[int] = None - loss: Optional[Union[str, int, float]] = None - eval_loss: Optional[Union[str, int, float]] = None - acc: Optional[Union[str, int, float]] = None - eval_acc: Optional[Union[str, int, float]] = None - learning_rate: Optional[Union[str, int, float]] = None - - -class JobEvent(BaseModel): - object: Optional[str] = None - id: Optional[str] = None - type: Optional[str] = None - created_at: Optional[int] = None - level: Optional[str] = None - message: Optional[str] = None - data: Optional[Metric] = None - - -class FineTuningJobEvent(BaseModel): - object: Optional[str] = None - data: list[JobEvent] - has_more: Optional[bool] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/job_create_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/job_create_params.py deleted file mode 100644 index e1ebc352bc..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/job_create_params.py +++ /dev/null @@ -1,15 +0,0 @@ -from __future__ import annotations - -from typing import Literal, Union - -from typing_extensions import TypedDict - -__all__ = ["Hyperparameters"] - - -class Hyperparameters(TypedDict, total=False): - batch_size: Union[Literal["auto"], int] - - learning_rate_multiplier: Union[Literal["auto"], float] - - n_epochs: Union[Literal["auto"], int] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/models/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/models/__init__.py deleted file mode 100644 index 57d0d2511d..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/models/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .fine_tuned_models import FineTunedModelsStatus diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/models/fine_tuned_models.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/models/fine_tuned_models.py deleted file mode 100644 index b286a5b577..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/fine_tuning/models/fine_tuned_models.py +++ /dev/null @@ -1,13 +0,0 @@ -from typing import ClassVar - -from ....core import PYDANTIC_V2, BaseModel, ConfigDict - -__all__ = ["FineTunedModelsStatus"] - - -class FineTunedModelsStatus(BaseModel): - if PYDANTIC_V2: - model_config: ClassVar[ConfigDict] = ConfigDict(extra="allow", protected_namespaces=()) - request_id: str # 请求id - model_name: str # 模型名称 - delete_status: str # 删除状态 deleting（删除中）, deleted （已删除） diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/image.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/image.py deleted file mode 100644 index 3bcad0acab..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/image.py +++ /dev/null @@ -1,18 +0,0 @@ -from __future__ import annotations - -from typing import Optional - -from ..core import BaseModel - -__all__ = ["GeneratedImage", "ImagesResponded"] - - -class GeneratedImage(BaseModel): - b64_json: Optional[str] = None - url: Optional[str] = None - revised_prompt: Optional[str] = None - - -class ImagesResponded(BaseModel): - created: int - data: list[GeneratedImage] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/__init__.py deleted file mode 100644 index 8c81d703e2..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -from .knowledge import KnowledgeInfo -from .knowledge_used import KnowledgeStatistics, KnowledgeUsed - -__all__ = [ - "KnowledgeInfo", - "KnowledgeStatistics", - "KnowledgeUsed", -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/__init__.py deleted file mode 100644 index 59cb41d712..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -from .document import DocumentData, DocumentFailedInfo, DocumentObject, DocumentSuccessInfo - -__all__ = [ - "DocumentData", - "DocumentObject", - "DocumentSuccessInfo", - "DocumentFailedInfo", -] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document.py deleted file mode 100644 index 980bc6f4a7..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document.py +++ /dev/null @@ -1,51 +0,0 @@ -from typing import Optional - -from ....core import BaseModel - -__all__ = ["DocumentData", "DocumentObject", "DocumentSuccessInfo", "DocumentFailedInfo"] - - -class DocumentSuccessInfo(BaseModel): - documentId: Optional[str] = None - """文件id""" - filename: Optional[str] = None - """文件名称""" - - -class DocumentFailedInfo(BaseModel): - failReason: Optional[str] = None - """上传失败的原因，包括：文件格式不支持、文件大小超出限制、知识库容量已满、容量上限为 50 万字。""" - filename: Optional[str] = None - """文件名称""" - documentId: Optional[str] = None - """知识库id""" - - -class DocumentObject(BaseModel): - """文档信息""" - - successInfos: Optional[list[DocumentSuccessInfo]] = None - """上传成功的文件信息""" - failedInfos: Optional[list[DocumentFailedInfo]] = None - """上传失败的文件信息""" - - -class DocumentDataFailInfo(BaseModel): - """失败原因""" - - embedding_code: Optional[int] = ( - None # 失败码 10001：知识不可用，知识库空间已达上限 10002：知识不可用，知识库空间已达上限(字数超出限制) - ) - embedding_msg: Optional[str] = None # 失败原因 - - -class DocumentData(BaseModel): - id: str = None # 知识唯一id - custom_separator: list[str] = None # 切片规则 - sentence_size: str = None # 切片大小 - length: int = None # 文件大小（字节） - word_num: int = None # 文件字数 - name: str = None # 文件名 - url: str = None # 文件下载链接 - embedding_stat: int = None # 0:向量化中 1:向量化完成 2:向量化失败 - failInfo: Optional[DocumentDataFailInfo] = None # 失败原因 向量化失败embedding_stat=2的时候 会有此值 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_edit_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_edit_params.py deleted file mode 100644 index 509cb3a451..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_edit_params.py +++ /dev/null @@ -1,29 +0,0 @@ -from typing import Optional, TypedDict - -__all__ = ["DocumentEditParams"] - - -class DocumentEditParams(TypedDict): - """ - 知识参数类型定义 - - Attributes: - id (str): 知识ID - knowledge_type (int): 知识类型: - 1:文章知识: 支持pdf,url,docx - 2.问答知识-文档: 支持pdf,url,docx - 3.问答知识-表格: 支持xlsx - 4.商品库-表格: 支持xlsx - 5.自定义: 支持pdf,url,docx - custom_separator (Optional[List[str]]): 当前知识类型为自定义(knowledge_type=5)时的切片规则，默认\n - sentence_size (Optional[int]): 当前知识类型为自定义(knowledge_type=5)时的切片字数，取值范围: 20-2000，默认300 - callback_url (Optional[str]): 回调地址 - callback_header (Optional[dict]): 回调时携带的header - """ - - id: str - knowledge_type: int - custom_separator: Optional[list[str]] - sentence_size: Optional[int] - callback_url: Optional[str] - callback_header: Optional[dict[str, str]] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_list_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_list_params.py deleted file mode 100644 index 910c8c045e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_list_params.py +++ /dev/null @@ -1,26 +0,0 @@ -from __future__ import annotations - -from typing import Optional - -from typing_extensions import TypedDict - - -class DocumentListParams(TypedDict, total=False): - """ - 文件查询参数类型定义 - - Attributes: - purpose (Optional[str]): 文件用途 - knowledge_id (Optional[str]): 当文件用途为 retrieval 时，需要提供查询的知识库ID - page (Optional[int]): 页，默认1 - limit (Optional[int]): 查询文件列表数，默认10 - after (Optional[str]): 查询指定fileID之后的文件列表（当文件用途为 fine-tune 时需要） - order (Optional[str]): 排序规则，可选值['desc', 'asc']，默认desc（当文件用途为 fine-tune 时需要） - """ - - purpose: Optional[str] - knowledge_id: Optional[str] - page: Optional[int] - limit: Optional[int] - after: Optional[str] - order: Optional[str] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_list_resp.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_list_resp.py deleted file mode 100644 index acae4fad9f..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document_list_resp.py +++ /dev/null @@ -1,11 +0,0 @@ -from __future__ import annotations - -from ....core import BaseModel -from . import DocumentData - -__all__ = ["DocumentPage"] - - -class DocumentPage(BaseModel): - list: list[DocumentData] - object: str diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge.py deleted file mode 100644 index bc6f159eb2..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - -__all__ = ["KnowledgeInfo"] - - -class KnowledgeInfo(BaseModel): - id: Optional[str] = None - """知识库唯一 id""" - embedding_id: Optional[str] = ( - None # 知识库绑定的向量化模型 见模型列表 [内部服务开放接口文档](https://lslfd0slxc.feishu.cn/docx/YauWdbBiMopV0FxB7KncPWCEn8f#H15NduiQZo3ugmxnWQFcfAHpnQ4) - ) - name: Optional[str] = None # 知识库名称 100字限制 - customer_identifier: Optional[str] = None # 用户标识 长度32位以内 - description: Optional[str] = None # 知识库描述 500字限制 - background: Optional[str] = None # 背景颜色（给枚举）'blue', 'red', 'orange', 'purple', 'sky' - icon: Optional[str] = ( - None # 知识库图标（给枚举） question: 问号、book: 书籍、seal: 印章、wrench: 扳手、tag: 标签、horn: 喇叭、house: 房子 # noqa: E501 - ) - bucket_id: Optional[str] = None # 桶id 限制32位 diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_create_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_create_params.py deleted file mode 100644 index c3da201727..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_create_params.py +++ /dev/null @@ -1,30 +0,0 @@ -from __future__ import annotations - -from typing import Literal, Optional - -from typing_extensions import TypedDict - -__all__ = ["KnowledgeBaseParams"] - - -class KnowledgeBaseParams(TypedDict): - """ - 知识库参数类型定义 - - Attributes: - embedding_id (int): 知识库绑定的向量化模型ID - name (str): 知识库名称，限制100字 - customer_identifier (Optional[str]): 用户标识，长度32位以内 - description (Optional[str]): 知识库描述，限制500字 - background (Optional[Literal['blue', 'red', 'orange', 'purple', 'sky']]): 背景颜色 - icon (Optional[Literal['question', 'book', 'seal', 'wrench', 'tag', 'horn', 'house']]): 知识库图标 - bucket_id (Optional[str]): 桶ID，限制32位 - """ - - embedding_id: int - name: str - customer_identifier: Optional[str] - description: Optional[str] - background: Optional[Literal["blue", "red", "orange", "purple", "sky"]] = None - icon: Optional[Literal["question", "book", "seal", "wrench", "tag", "horn", "house"]] = None - bucket_id: Optional[str] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_list_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_list_params.py deleted file mode 100644 index a221b28e46..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_list_params.py +++ /dev/null @@ -1,15 +0,0 @@ -from __future__ import annotations - -from typing_extensions import TypedDict - -__all__ = ["KnowledgeListParams"] - - -class KnowledgeListParams(TypedDict, total=False): - page: int = 1 - """ 页码，默认 1，第一页 - """ - - size: int = 10 - """每页数量 默认10 - """ diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_list_resp.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_list_resp.py deleted file mode 100644 index e462eddc55..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_list_resp.py +++ /dev/null @@ -1,11 +0,0 @@ -from __future__ import annotations - -from ...core import BaseModel -from . import KnowledgeInfo - -__all__ = ["KnowledgePage"] - - -class KnowledgePage(BaseModel): - list: list[KnowledgeInfo] - object: str diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_used.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_used.py deleted file mode 100644 index cfda709702..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/knowledge_used.py +++ /dev/null @@ -1,21 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - -__all__ = ["KnowledgeStatistics", "KnowledgeUsed"] - - -class KnowledgeStatistics(BaseModel): - """ - 使用量统计 - """ - - word_num: Optional[int] = None - length: Optional[int] = None - - -class KnowledgeUsed(BaseModel): - used: Optional[KnowledgeStatistics] = None - """已使用量""" - total: Optional[KnowledgeStatistics] = None - """知识库总量""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/sensitive_word_check/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/sensitive_word_check/__init__.py deleted file mode 100644 index c9bd60419c..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/sensitive_word_check/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .sensitive_word_check import SensitiveWordCheckRequest - -__all__ = ["SensitiveWordCheckRequest"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/sensitive_word_check/sensitive_word_check.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/sensitive_word_check/sensitive_word_check.py deleted file mode 100644 index 0c37d99e65..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/sensitive_word_check/sensitive_word_check.py +++ /dev/null @@ -1,14 +0,0 @@ -from typing import Optional - -from typing_extensions import TypedDict - - -class SensitiveWordCheckRequest(TypedDict, total=False): - type: Optional[str] - """敏感词类型，当前仅支持ALL""" - status: Optional[str] - """敏感词启用禁用状态 - 启用：ENABLE - 禁用：DISABLE - 备注：默认开启敏感词校验，如果要关闭敏感词校验，需联系商务获取对应权限，否则敏感词禁用不生效。 - """ diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/__init__.py deleted file mode 100644 index 62f77344ee..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -from .web_search import ( - SearchIntent, - SearchRecommend, - SearchResult, - WebSearch, -) -from .web_search_chunk import WebSearchChunk - -__all__ = ["WebSearch", "SearchIntent", "SearchResult", "SearchRecommend", "WebSearchChunk"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/tools_web_search_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/tools_web_search_params.py deleted file mode 100644 index b3a3b26f07..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/tools_web_search_params.py +++ /dev/null @@ -1,35 +0,0 @@ -from __future__ import annotations - -from typing import Optional, Union - -from typing_extensions import TypedDict - -__all__ = ["WebSearchParams"] - - -class WebSearchParams(TypedDict): - """ - 工具名：web-search-pro参数类型定义 - - Attributes: - :param model: str, 模型名称 - :param request_id: Optional[str], 请求ID - :param stream: Optional[bool], 是否流式 - :param messages: Union[str, List[str], List[int], object, None], - 包含历史对话上下文的内容，按照 {"role": "user", "content": "你好"} 的json 数组形式进行传参 - 当前版本仅支持 User Message 单轮对话，工具会理解User Message并进行搜索， - 请尽可能传入不带指令格式的用户原始提问，以提高搜索准确率。 - :param scope: Optional[str], 指定搜索范围，全网、学术等，默认全网 - :param location: Optional[str], 指定搜索用户地区 location 提高相关性 - :param recent_days: Optional[int],支持指定返回 N 天（1-30）更新的搜索结果 - - - """ - - model: str - request_id: Optional[str] - stream: Optional[bool] - messages: Union[str, list[str], list[int], object, None] - scope: Optional[str] = None - location: Optional[str] = None - recent_days: Optional[int] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/web_search.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/web_search.py deleted file mode 100644 index ac9fa3821e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/web_search.py +++ /dev/null @@ -1,71 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - -__all__ = [ - "WebSearch", - "SearchIntent", - "SearchResult", - "SearchRecommend", -] - - -class SearchIntent(BaseModel): - index: int - # 搜索轮次，默认为 0 - query: str - # 搜索优化 query - intent: str - # 判断的意图类型 - keywords: str - # 搜索关键词 - - -class SearchResult(BaseModel): - index: int - # 搜索轮次，默认为 0 - title: str - # 标题 - link: str - # 链接 - content: str - # 内容 - icon: str - # 图标 - media: str - # 来源媒体 - refer: str - # 角标序号 [ref_1] - - -class SearchRecommend(BaseModel): - index: int - # 搜索轮次，默认为 0 - query: str - # 推荐query - - -class WebSearchMessageToolCall(BaseModel): - id: str - search_intent: Optional[SearchIntent] - search_result: Optional[SearchResult] - search_recommend: Optional[SearchRecommend] - type: str - - -class WebSearchMessage(BaseModel): - role: str - tool_calls: Optional[list[WebSearchMessageToolCall]] = None - - -class WebSearchChoice(BaseModel): - index: int - finish_reason: str - message: WebSearchMessage - - -class WebSearch(BaseModel): - created: Optional[int] = None - choices: list[WebSearchChoice] - request_id: Optional[str] = None - id: Optional[str] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/web_search_chunk.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/web_search_chunk.py deleted file mode 100644 index 7fb0e02bb5..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/tools/web_search_chunk.py +++ /dev/null @@ -1,33 +0,0 @@ -from typing import Optional - -from ...core import BaseModel -from .web_search import SearchIntent, SearchRecommend, SearchResult - -__all__ = ["WebSearchChunk"] - - -class ChoiceDeltaToolCall(BaseModel): - index: int - id: Optional[str] = None - - search_intent: Optional[SearchIntent] = None - search_result: Optional[SearchResult] = None - search_recommend: Optional[SearchRecommend] = None - type: Optional[str] = None - - -class ChoiceDelta(BaseModel): - role: Optional[str] = None - tool_calls: Optional[list[ChoiceDeltaToolCall]] = None - - -class Choice(BaseModel): - delta: ChoiceDelta - finish_reason: Optional[str] = None - index: int - - -class WebSearchChunk(BaseModel): - id: Optional[str] = None - choices: list[Choice] - created: Optional[int] = None diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/__init__.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/__init__.py deleted file mode 100644 index b14072b1a7..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -from .video_object import VideoObject, VideoResult - -__all__ = ["VideoObject", "VideoResult"] diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/video_create_params.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/video_create_params.py deleted file mode 100644 index f5489d708e..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/video_create_params.py +++ /dev/null @@ -1,27 +0,0 @@ -from __future__ import annotations - -from typing import Optional - -from typing_extensions import TypedDict - -__all__ = ["VideoCreateParams"] - -from ..sensitive_word_check import SensitiveWordCheckRequest - - -class VideoCreateParams(TypedDict, total=False): - model: str - """模型编码""" - prompt: str - """所需视频的文本描述""" - image_url: str - """所需视频的文本描述""" - sensitive_word_check: Optional[SensitiveWordCheckRequest] - """支持 URL 或者 Base64、传入 image 奖进行图生视频 - * 图片格式： - * 图片大小：""" - request_id: str - """由用户端传参，需保证唯一性；用于区分每次请求的唯一标识，用户端不传时平台会默认生成。""" - - user_id: str - """用户端。""" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/video_object.py b/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/video_object.py deleted file mode 100644 index 85c3844d8a..0000000000 --- a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/video/video_object.py +++ /dev/null @@ -1,30 +0,0 @@ -from typing import Optional - -from ...core import BaseModel - -__all__ = ["VideoObject", "VideoResult"] - - -class VideoResult(BaseModel): - url: str - """视频url""" - cover_image_url: str - """预览图""" - - -class VideoObject(BaseModel): - id: Optional[str] = None - """智谱 AI 开放平台生成的任务订单号，调用请求结果接口时请使用此订单号""" - - model: str - """模型名称""" - - video_result: list[VideoResult] - """视频生成结果""" - - task_status: str - """处理状态，PROCESSING（处理中），SUCCESS（成功），FAIL（失败） - 注：处理中状态需通过查询获取结果""" - - request_id: str - """用户在客户端请求时提交的任务编号或者平台生成的任务编号""" diff --git a/api/core/rag/datasource/keyword/keyword_factory.py b/api/core/rag/datasource/keyword/keyword_factory.py index 3c99f33be6..f1a6ade91f 100644 --- a/api/core/rag/datasource/keyword/keyword_factory.py +++ b/api/core/rag/datasource/keyword/keyword_factory.py @@ -1,8 +1,8 @@ from typing import Any from configs import dify_config -from core.rag.datasource.keyword.jieba.jieba import Jieba from core.rag.datasource.keyword.keyword_base import BaseKeyword +from core.rag.datasource.keyword.keyword_type import KeyWordType from core.rag.models.document import Document from models.dataset import Dataset @@ -13,16 +13,19 @@ class Keyword: self._keyword_processor = self._init_keyword() def _init_keyword(self) -> BaseKeyword: - config = dify_config - keyword_type = config.KEYWORD_STORE + keyword_type = dify_config.KEYWORD_STORE + keyword_factory = self.get_keyword_factory(keyword_type) + return keyword_factory(self._dataset) - if not keyword_type: - raise ValueError("Keyword store must be specified.") + @staticmethod + def get_keyword_factory(keyword_type: str) -> type[BaseKeyword]: + match keyword_type: + case KeyWordType.JIEBA: + from core.rag.datasource.keyword.jieba.jieba import Jieba - if keyword_type == "jieba": - return Jieba(dataset=self._dataset) - else: - raise ValueError(f"Keyword store {keyword_type} is not supported.") + return Jieba + case _: + raise ValueError(f"Keyword store {keyword_type} is not supported.") def create(self, texts: list[Document], **kwargs): self._keyword_processor.create(texts, **kwargs) diff --git a/api/core/rag/datasource/keyword/keyword_type.py b/api/core/rag/datasource/keyword/keyword_type.py new file mode 100644 index 0000000000..d6deba3fb0 --- /dev/null +++ b/api/core/rag/datasource/keyword/keyword_type.py @@ -0,0 +1,5 @@ +from enum import Enum + + +class KeyWordType(str, Enum): + JIEBA = "jieba" diff --git a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py index 66bc31a4bf..f420373d5b 100644 --- a/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py +++ b/api/core/rag/datasource/vdb/elasticsearch/elasticsearch_vector.py @@ -112,7 +112,7 @@ class ElasticSearchVector(BaseVector): self._client.indices.delete(index=self._collection_name) def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: - top_k = kwargs.get("top_k", 10) + top_k = kwargs.get("top_k", 4) num_candidates = math.ceil(top_k * 1.5) knn = {"field": Field.VECTOR.value, "query_vector": query_vector, "k": top_k, "num_candidates": num_candidates} diff --git a/api/core/rag/datasource/vdb/myscale/myscale_vector.py b/api/core/rag/datasource/vdb/myscale/myscale_vector.py index 2320a69a30..b30aa7ca22 100644 --- a/api/core/rag/datasource/vdb/myscale/myscale_vector.py +++ b/api/core/rag/datasource/vdb/myscale/myscale_vector.py @@ -121,7 +121,7 @@ class MyScaleVector(BaseVector): return self._search(f"TextSearch('enable_nlq=false')(text, '{query}')", SortOrder.DESC, **kwargs) def _search(self, dist: str, order: SortOrder, **kwargs: Any) -> list[Document]: - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) score_threshold = float(kwargs.get("score_threshold") or 0.0) where_str = ( f"WHERE dist < {1 - score_threshold}" diff --git a/api/core/rag/datasource/vdb/oracle/oraclevector.py b/api/core/rag/datasource/vdb/oracle/oraclevector.py index 77ec45b4d3..84a4381cd1 100644 --- a/api/core/rag/datasource/vdb/oracle/oraclevector.py +++ b/api/core/rag/datasource/vdb/oracle/oraclevector.py @@ -168,14 +168,6 @@ class OracleVector(BaseVector): docs.append(Document(page_content=record[1], metadata=record[0])) return docs - # def get_ids_by_metadata_field(self, key: str, value: str): - # with self._get_cursor() as cur: - # cur.execute(f"SELECT id FROM {self.table_name} d WHERE d.meta.{key}='{value}'" ) - # idss = [] - # for record in cur: - # idss.append(record[0]) - # return idss - def delete_by_ids(self, ids: list[str]) -> None: with self._get_cursor() as cur: cur.execute(f"DELETE FROM {self.table_name} WHERE id IN %s" % (tuple(ids),)) @@ -192,7 +184,7 @@ class OracleVector(BaseVector): :param top_k: The number of nearest neighbors to return, default is 5. :return: List of Documents that are nearest to the query vector. """ - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) with self._get_cursor() as cur: cur.execute( f"SELECT meta, text, vector_distance(embedding,:1) AS distance FROM {self.table_name}" diff --git a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py index de2d65b223..a82a9b96dd 100644 --- a/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py +++ b/api/core/rag/datasource/vdb/pgvecto_rs/pgvecto_rs.py @@ -186,7 +186,7 @@ class PGVectoRS(BaseVector): query_vector, ).label("distance"), ) - .limit(kwargs.get("top_k", 2)) + .limit(kwargs.get("top_k", 4)) .order_by("distance") ) res = session.execute(stmt) @@ -205,18 +205,6 @@ class PGVectoRS(BaseVector): return docs def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]: - # with Session(self._client) as session: - # select_statement = sql_text( - # f"SELECT text, meta FROM {self._collection_name} WHERE to_tsvector(text) @@ '{query}'::tsquery" - # ) - # results = session.execute(select_statement).fetchall() - # if results: - # docs = [] - # for result in results: - # doc = Document(page_content=result[0], - # metadata=result[1]) - # docs.append(doc) - # return docs return [] diff --git a/api/core/rag/datasource/vdb/pgvector/pgvector.py b/api/core/rag/datasource/vdb/pgvector/pgvector.py index 25a10a1e48..6f336d27e7 100644 --- a/api/core/rag/datasource/vdb/pgvector/pgvector.py +++ b/api/core/rag/datasource/vdb/pgvector/pgvector.py @@ -143,7 +143,7 @@ class PGVector(BaseVector): :param top_k: The number of nearest neighbors to return, default is 5. :return: List of Documents that are nearest to the query vector. """ - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) with self._get_cursor() as cur: cur.execute( diff --git a/api/core/rag/datasource/vdb/relyt/relyt_vector.py b/api/core/rag/datasource/vdb/relyt/relyt_vector.py index 254956970f..13a63784be 100644 --- a/api/core/rag/datasource/vdb/relyt/relyt_vector.py +++ b/api/core/rag/datasource/vdb/relyt/relyt_vector.py @@ -224,7 +224,7 @@ class RelytVector(BaseVector): def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: results = self.similarity_search_with_score_by_vector( - k=int(kwargs.get("top_k")), embedding=query_vector, filter=kwargs.get("filter") + k=int(kwargs.get("top_k", 4)), embedding=query_vector, filter=kwargs.get("filter") ) # Organize results. diff --git a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py index 20490d3215..7837c5a4aa 100644 --- a/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py +++ b/api/core/rag/datasource/vdb/tidb_vector/tidb_vector.py @@ -184,7 +184,7 @@ class TiDBVector(BaseVector): self._delete_by_ids(ids) def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: - top_k = kwargs.get("top_k", 5) + top_k = kwargs.get("top_k", 4) score_threshold = float(kwargs.get("score_threshold") or 0.0) filter = kwargs.get("filter") distance = 1 - score_threshold diff --git a/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py b/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py index 22d0e92586..5f60f10acb 100644 --- a/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py +++ b/api/core/rag/datasource/vdb/vikingdb/vikingdb_vector.py @@ -173,7 +173,7 @@ class VikingDBVector(BaseVector): def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]: results = self._client.get_index(self._collection_name, self._index_name).search_by_vector( - query_vector, limit=kwargs.get("top_k", 50) + query_vector, limit=kwargs.get("top_k", 4) ) score_threshold = float(kwargs.get("score_threshold") or 0.0) return self._get_search_res(results, score_threshold) diff --git a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py index 6eee344b9b..4009efe7a7 100644 --- a/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py +++ b/api/core/rag/datasource/vdb/weaviate/weaviate_vector.py @@ -235,7 +235,7 @@ class WeaviateVector(BaseVector): query_obj = query_obj.with_where(kwargs.get("where_filter")) query_obj = query_obj.with_additional(["vector"]) properties = ["text"] - result = query_obj.with_bm25(query=query, properties=properties).with_limit(kwargs.get("top_k", 2)).do() + result = query_obj.with_bm25(query=query, properties=properties).with_limit(kwargs.get("top_k", 4)).do() if "errors" in result: raise ValueError(f"Error during query: {result['errors']}") docs = [] diff --git a/api/core/rag/retrieval/dataset_retrieval.py b/api/core/rag/retrieval/dataset_retrieval.py index 633e41d5cf..3455cdc3c4 100644 --- a/api/core/rag/retrieval/dataset_retrieval.py +++ b/api/core/rag/retrieval/dataset_retrieval.py @@ -217,7 +217,7 @@ class DatasetRetrieval: "data_source_type": document.data_source_type, "segment_id": segment.id, "retriever_from": invoke_from.to_source(), - "score": document_score_list.get(segment.index_node_id, None), + "score": document_score_list.get(segment.index_node_id, 0.0), } if invoke_from.to_source() == "dev": @@ -231,12 +231,12 @@ class DatasetRetrieval: source["content"] = segment.content retrieval_resource_list.append(source) if hit_callback and retrieval_resource_list: - retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.get("score"), reverse=True) + retrieval_resource_list = sorted(retrieval_resource_list, key=lambda x: x.get("score") or 0.0, reverse=True) for position, item in enumerate(retrieval_resource_list, start=1): item["position"] = position hit_callback.return_retriever_resource_info(retrieval_resource_list) if document_context_list: - document_context_list = sorted(document_context_list, key=lambda x: x.score, reverse=True) + document_context_list = sorted(document_context_list, key=lambda x: x.score or 0.0, reverse=True) return str("\n".join([document_context.content for document_context in document_context_list])) return "" diff --git a/api/core/tools/provider/builtin/cogview/tools/cogview3.py b/api/core/tools/provider/builtin/cogview/tools/cogview3.py index 085084ca38..12b4173fa4 100644 --- a/api/core/tools/provider/builtin/cogview/tools/cogview3.py +++ b/api/core/tools/provider/builtin/cogview/tools/cogview3.py @@ -1,7 +1,8 @@ import random from typing import Any, Union -from core.model_runtime.model_providers.zhipuai.zhipuai_sdk._client import ZhipuAI +from zhipuai import ZhipuAI + from core.tools.entities.tool_entities import ToolInvokeMessage from core.tools.tool.builtin_tool import BuiltinTool diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.py b/api/core/tools/provider/builtin/time/tools/timezone_conversion.py new file mode 100644 index 0000000000..28e70db532 --- /dev/null +++ b/api/core/tools/provider/builtin/time/tools/timezone_conversion.py @@ -0,0 +1,48 @@ +from datetime import datetime +from typing import Any, Union + +import pytz + +from core.tools.entities.tool_entities import ToolInvokeMessage +from core.tools.errors import ToolInvokeError +from core.tools.tool.builtin_tool import BuiltinTool + + +class TimezoneConversionTool(BuiltinTool): + def _invoke( + self, + user_id: str, + tool_parameters: dict[str, Any], + ) -> Union[ToolInvokeMessage, list[ToolInvokeMessage]]: + """ + Convert time to equivalent time zone + """ + current_time = tool_parameters.get("current_time") + current_timezone = tool_parameters.get("current_timezone", "Asia/Shanghai") + target_timezone = tool_parameters.get("target_timezone", "Asia/Tokyo") + target_time = self.timezone_convert(current_time, current_timezone, target_timezone) + if not target_time: + return self.create_text_message( + f"Invalid datatime and timezone: {current_time},{current_timezone},{target_timezone}" + ) + + return self.create_text_message(f"{target_time}") + + @staticmethod + def timezone_convert(current_time: str, source_timezone: str, target_timezone: str) -> str: + """ + Convert a time string from source timezone to target timezone. + """ + time_format = "%Y-%m-%d %H:%M:%S" + try: + # get source timezone + input_timezone = pytz.timezone(source_timezone) + # get target timezone + output_timezone = pytz.timezone(target_timezone) + local_time = datetime.strptime(current_time, time_format) + datetime_with_tz = input_timezone.localize(local_time) + # timezone convert + converted_datetime = datetime_with_tz.astimezone(output_timezone) + return converted_datetime.strftime(format=time_format) + except Exception as e: + raise ToolInvokeError(str(e)) diff --git a/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml b/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml new file mode 100644 index 0000000000..4c221c2e51 --- /dev/null +++ b/api/core/tools/provider/builtin/time/tools/timezone_conversion.yaml @@ -0,0 +1,44 @@ +identity: + name: timezone_conversion + author: zhuhao + label: + en_US: convert time to equivalent time zone + zh_Hans: 时区转换 +description: + human: + en_US: A tool to convert time to equivalent time zone + zh_Hans: 时区转换 + llm: A tool to convert time to equivalent time zone +parameters: + - name: current_time + type: string + required: true + form: llm + label: + en_US: current time + zh_Hans: 当前时间 + human_description: + en_US: current time, such as 2024-1-1 0:0:0 + zh_Hans: 当前时间, 比如2024-1-1 0:0:0 + - name: current_timezone + type: string + required: true + form: llm + label: + en_US: Current Timezone + zh_Hans: 当前时区 + human_description: + en_US: Current Timezone, such as Asia/Shanghai + zh_Hans: 当前时区, 比如Asia/Shanghai + default: Asia/Shanghai + - name: target_timezone + type: string + required: true + form: llm + label: + en_US: Target Timezone + zh_Hans: 目标时区 + human_description: + en_US: Target Timezone, such as Asia/Tokyo + zh_Hans: 目标时区, 比如Asia/Tokyo + default: Asia/Tokyo diff --git a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py index 0b3e9bd6a8..8cd208d7fc 100644 --- a/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py +++ b/api/core/workflow/nodes/knowledge_retrieval/knowledge_retrieval_node.py @@ -234,7 +234,7 @@ class KnowledgeRetrievalNode(BaseNode): retrieval_resource_list.append(source) if retrieval_resource_list: retrieval_resource_list = sorted( - retrieval_resource_list, key=lambda x: x.get("metadata").get("score"), reverse=True + retrieval_resource_list, key=lambda x: x.get("metadata").get("score") or 0.0, reverse=True ) position = 1 for item in retrieval_resource_list: diff --git a/api/extensions/storage/aliyun_oss_storage.py b/api/extensions/storage/aliyun_oss_storage.py index 53bd399d6d..ae6911e945 100644 --- a/api/extensions/storage/aliyun_oss_storage.py +++ b/api/extensions/storage/aliyun_oss_storage.py @@ -1,5 +1,4 @@ from collections.abc import Generator -from contextlib import closing import oss2 as aliyun_s3 from flask import Flask @@ -34,15 +33,15 @@ class AliyunOssStorage(BaseStorage): self.client.put_object(self.__wrapper_folder_filename(filename), data) def load_once(self, filename: str) -> bytes: - with closing(self.client.get_object(self.__wrapper_folder_filename(filename))) as obj: - data = obj.read() + obj = self.client.get_object(self.__wrapper_folder_filename(filename)) + data = obj.read() return data def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: - with closing(self.client.get_object(self.__wrapper_folder_filename(filename))) as obj: - while chunk := obj.read(4096): - yield chunk + obj = self.client.get_object(self.__wrapper_folder_filename(filename)) + while chunk := obj.read(4096): + yield chunk return generate() diff --git a/api/extensions/storage/aws_s3_storage.py b/api/extensions/storage/aws_s3_storage.py index 38f823763f..507a303223 100644 --- a/api/extensions/storage/aws_s3_storage.py +++ b/api/extensions/storage/aws_s3_storage.py @@ -1,6 +1,5 @@ import logging from collections.abc import Generator -from contextlib import closing import boto3 from botocore.client import Config @@ -55,8 +54,7 @@ class AwsS3Storage(BaseStorage): def load_once(self, filename: str) -> bytes: try: - with closing(self.client) as client: - data = client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() + data = self.client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -67,9 +65,8 @@ class AwsS3Storage(BaseStorage): def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: try: - with closing(self.client) as client: - response = client.get_object(Bucket=self.bucket_name, Key=filename) - yield from response["Body"].iter_chunks() + response = self.client.get_object(Bucket=self.bucket_name, Key=filename) + yield from response["Body"].iter_chunks() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -79,16 +76,14 @@ class AwsS3Storage(BaseStorage): return generate() def download(self, filename, target_filepath): - with closing(self.client) as client: - client.download_file(self.bucket_name, filename, target_filepath) + self.client.download_file(self.bucket_name, filename, target_filepath) def exists(self, filename): - with closing(self.client) as client: - try: - client.head_object(Bucket=self.bucket_name, Key=filename) - return True - except: - return False + try: + self.client.head_object(Bucket=self.bucket_name, Key=filename) + return True + except: + return False def delete(self, filename): self.client.delete_object(Bucket=self.bucket_name, Key=filename) diff --git a/api/extensions/storage/google_cloud_storage.py b/api/extensions/storage/google_cloud_storage.py index d9c74b8d40..2d1224fd74 100644 --- a/api/extensions/storage/google_cloud_storage.py +++ b/api/extensions/storage/google_cloud_storage.py @@ -2,7 +2,6 @@ import base64 import io import json from collections.abc import Generator -from contextlib import closing from flask import Flask from google.cloud import storage as google_cloud_storage @@ -43,7 +42,7 @@ class GoogleCloudStorage(BaseStorage): def generate(filename: str = filename) -> Generator: bucket = self.client.get_bucket(self.bucket_name) blob = bucket.get_blob(filename) - with closing(blob.open(mode="rb")) as blob_stream: + with blob.open(mode="rb") as blob_stream: while chunk := blob_stream.read(4096): yield chunk diff --git a/api/extensions/storage/oracle_oci_storage.py b/api/extensions/storage/oracle_oci_storage.py index 6934583567..5295dbdca2 100644 --- a/api/extensions/storage/oracle_oci_storage.py +++ b/api/extensions/storage/oracle_oci_storage.py @@ -1,5 +1,4 @@ from collections.abc import Generator -from contextlib import closing import boto3 from botocore.exceptions import ClientError @@ -28,8 +27,7 @@ class OracleOCIStorage(BaseStorage): def load_once(self, filename: str) -> bytes: try: - with closing(self.client) as client: - data = client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() + data = self.client.get_object(Bucket=self.bucket_name, Key=filename)["Body"].read() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -40,9 +38,8 @@ class OracleOCIStorage(BaseStorage): def load_stream(self, filename: str) -> Generator: def generate(filename: str = filename) -> Generator: try: - with closing(self.client) as client: - response = client.get_object(Bucket=self.bucket_name, Key=filename) - yield from response["Body"].iter_chunks() + response = self.client.get_object(Bucket=self.bucket_name, Key=filename) + yield from response["Body"].iter_chunks() except ClientError as ex: if ex.response["Error"]["Code"] == "NoSuchKey": raise FileNotFoundError("File not found") @@ -52,16 +49,14 @@ class OracleOCIStorage(BaseStorage): return generate() def download(self, filename, target_filepath): - with closing(self.client) as client: - client.download_file(self.bucket_name, filename, target_filepath) + self.client.download_file(self.bucket_name, filename, target_filepath) def exists(self, filename): - with closing(self.client) as client: - try: - client.head_object(Bucket=self.bucket_name, Key=filename) - return True - except: - return False + try: + self.client.head_object(Bucket=self.bucket_name, Key=filename) + return True + except: + return False def delete(self, filename): self.client.delete_object(Bucket=self.bucket_name, Key=filename) diff --git a/api/poetry.lock b/api/poetry.lock index efefedfb21..9c45899699 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -455,13 +455,13 @@ vertex = ["google-auth (>=2,<3)"] [[package]] name = "anyio" -version = "4.6.0" +version = "4.6.2.post1" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.9" files = [ - {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"}, - {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"}, + {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"}, + {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"}, ] [package.dependencies] @@ -472,7 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scikit-learn = "~1.5.1" sentry-sdk = { version = "~1.44.1", extras = ["flask"] } sqlalchemy = "~2.0.29" tencentcloud-sdk-python-hunyuan = "~3.0.1158" -tiktoken = "~0.7.0" +tiktoken = "~0.8.0" tokenizers = "~0.15.0" transformers = "~4.35.0" unstructured = { version = "~0.10.27", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] } @@ -182,7 +191,7 @@ websocket-client = "~1.7.0" werkzeug = "~3.0.1" xinference-client = "0.15.2" yarl = "~1.9.4" -zhipuai = "1.0.7" +zhipuai = "~2.1.5" # Before adding new dependency, consider place it in alphabet order (a-z) and suitable group. ############################################################ diff --git a/api/schedule/clean_unused_datasets_task.py b/api/schedule/clean_unused_datasets_task.py index 3d799bfd4e..100fd8dfab 100644 --- a/api/schedule/clean_unused_datasets_task.py +++ b/api/schedule/clean_unused_datasets_task.py @@ -9,15 +9,19 @@ import app from configs import dify_config from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from extensions.ext_database import db +from extensions.ext_redis import redis_client from models.dataset import Dataset, DatasetQuery, Document +from services.feature_service import FeatureService @app.celery.task(queue="dataset") def clean_unused_datasets_task(): click.echo(click.style("Start clean unused datasets indexes.", fg="green")) - clean_days = dify_config.CLEAN_DAY_SETTING + plan_sandbox_clean_day_setting = dify_config.PLAN_SANDBOX_CLEAN_DAY_SETTING + plan_pro_clean_day_setting = dify_config.PLAN_PRO_CLEAN_DAY_SETTING start_at = time.perf_counter() - thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) + plan_sandbox_clean_day = datetime.datetime.now() - datetime.timedelta(days=plan_sandbox_clean_day_setting) + plan_pro_clean_day = datetime.datetime.now() - datetime.timedelta(days=plan_pro_clean_day_setting) page = 1 while True: try: @@ -28,7 +32,7 @@ def clean_unused_datasets_task(): Document.indexing_status == "completed", Document.enabled == True, Document.archived == False, - Document.updated_at > thirty_days_ago, + Document.updated_at > plan_sandbox_clean_day, ) .group_by(Document.dataset_id) .subquery() @@ -41,7 +45,7 @@ def clean_unused_datasets_task(): Document.indexing_status == "completed", Document.enabled == True, Document.archived == False, - Document.updated_at < thirty_days_ago, + Document.updated_at < plan_sandbox_clean_day, ) .group_by(Document.dataset_id) .subquery() @@ -53,7 +57,7 @@ def clean_unused_datasets_task(): .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) .filter( - Dataset.created_at < thirty_days_ago, + Dataset.created_at < plan_sandbox_clean_day, func.coalesce(document_subquery_new.c.document_count, 0) == 0, func.coalesce(document_subquery_old.c.document_count, 0) > 0, ) @@ -69,7 +73,7 @@ def clean_unused_datasets_task(): for dataset in datasets: dataset_query = ( db.session.query(DatasetQuery) - .filter(DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id) + .filter(DatasetQuery.created_at > plan_sandbox_clean_day, DatasetQuery.dataset_id == dataset.id) .all() ) if not dataset_query or len(dataset_query) == 0: @@ -88,5 +92,84 @@ def clean_unused_datasets_task(): click.echo( click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") ) + page = 1 + while True: + try: + # Subquery for counting new documents + document_subquery_new = ( + db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) + .filter( + Document.indexing_status == "completed", + Document.enabled == True, + Document.archived == False, + Document.updated_at > plan_pro_clean_day, + ) + .group_by(Document.dataset_id) + .subquery() + ) + + # Subquery for counting old documents + document_subquery_old = ( + db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) + .filter( + Document.indexing_status == "completed", + Document.enabled == True, + Document.archived == False, + Document.updated_at < plan_pro_clean_day, + ) + .group_by(Document.dataset_id) + .subquery() + ) + + # Main query with join and filter + datasets = ( + db.session.query(Dataset) + .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) + .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) + .filter( + Dataset.created_at < plan_pro_clean_day, + func.coalesce(document_subquery_new.c.document_count, 0) == 0, + func.coalesce(document_subquery_old.c.document_count, 0) > 0, + ) + .order_by(Dataset.created_at.desc()) + .paginate(page=page, per_page=50) + ) + + except NotFound: + break + if datasets.items is None or len(datasets.items) == 0: + break + page += 1 + for dataset in datasets: + dataset_query = ( + db.session.query(DatasetQuery) + .filter(DatasetQuery.created_at > plan_pro_clean_day, DatasetQuery.dataset_id == dataset.id) + .all() + ) + if not dataset_query or len(dataset_query) == 0: + try: + features_cache_key = f"features:{dataset.tenant_id}" + plan = redis_client.get(features_cache_key) + if plan is None: + features = FeatureService.get_features(dataset.tenant_id) + redis_client.setex(features_cache_key, 600, features.billing.subscription.plan) + plan = features.billing.subscription.plan + if plan == "sandbox": + # remove index + index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor() + index_processor.clean(dataset, None) + + # update document + update_params = {Document.enabled: False} + + Document.query.filter_by(dataset_id=dataset.id).update(update_params) + db.session.commit() + click.echo( + click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green") + ) + except Exception as e: + click.echo( + click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") + ) end_at = time.perf_counter() click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green")) diff --git a/api/schedule/clean_unused_messages_task.py b/api/schedule/clean_unused_messages_task.py deleted file mode 100644 index 85e6a58a0e..0000000000 --- a/api/schedule/clean_unused_messages_task.py +++ /dev/null @@ -1,92 +0,0 @@ -import datetime -import time - -import click -from sqlalchemy import func -from werkzeug.exceptions import NotFound - -import app -from configs import dify_config -from core.rag.index_processor.index_processor_factory import IndexProcessorFactory -from extensions.ext_database import db -from models.dataset import Dataset, DatasetQuery, Document - - -@app.celery.task(queue="dataset") -def clean_unused_message_task(): - click.echo(click.style("Start clean unused messages .", fg="green")) - clean_days = int(dify_config.CLEAN_DAY_SETTING) - start_at = time.perf_counter() - thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) - page = 1 - while True: - try: - # Subquery for counting new documents - document_subquery_new = ( - db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) - .filter( - Document.indexing_status == "completed", - Document.enabled == True, - Document.archived == False, - Document.updated_at > thirty_days_ago, - ) - .group_by(Document.dataset_id) - .subquery() - ) - - # Subquery for counting old documents - document_subquery_old = ( - db.session.query(Document.dataset_id, func.count(Document.id).label("document_count")) - .filter( - Document.indexing_status == "completed", - Document.enabled == True, - Document.archived == False, - Document.updated_at < thirty_days_ago, - ) - .group_by(Document.dataset_id) - .subquery() - ) - - # Main query with join and filter - datasets = ( - db.session.query(Dataset) - .outerjoin(document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id) - .outerjoin(document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id) - .filter( - Dataset.created_at < thirty_days_ago, - func.coalesce(document_subquery_new.c.document_count, 0) == 0, - func.coalesce(document_subquery_old.c.document_count, 0) > 0, - ) - .order_by(Dataset.created_at.desc()) - .paginate(page=page, per_page=50) - ) - - except NotFound: - break - if datasets.items is None or len(datasets.items) == 0: - break - page += 1 - for dataset in datasets: - dataset_query = ( - db.session.query(DatasetQuery) - .filter(DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id) - .all() - ) - if not dataset_query or len(dataset_query) == 0: - try: - # remove index - index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor() - index_processor.clean(dataset, None) - - # update document - update_params = {Document.enabled: False} - - Document.query.filter_by(dataset_id=dataset.id).update(update_params) - db.session.commit() - click.echo(click.style("Cleaned unused dataset {} from db success!".format(dataset.id), fg="green")) - except Exception as e: - click.echo( - click.style("clean dataset index error: {} {}".format(e.__class__.__name__, str(e)), fg="red") - ) - end_at = time.perf_counter() - click.echo(click.style("Cleaned unused dataset from db success latency: {}".format(end_at - start_at), fg="green")) diff --git a/api/services/auth/api_key_auth_factory.py b/api/services/auth/api_key_auth_factory.py index 36387e9c2e..f91c448fb9 100644 --- a/api/services/auth/api_key_auth_factory.py +++ b/api/services/auth/api_key_auth_factory.py @@ -1,15 +1,25 @@ -from services.auth.firecrawl import FirecrawlAuth -from services.auth.jina import JinaAuth +from services.auth.api_key_auth_base import ApiKeyAuthBase +from services.auth.auth_type import AuthType class ApiKeyAuthFactory: def __init__(self, provider: str, credentials: dict): - if provider == "firecrawl": - self.auth = FirecrawlAuth(credentials) - elif provider == "jinareader": - self.auth = JinaAuth(credentials) - else: - raise ValueError("Invalid provider") + auth_factory = self.get_apikey_auth_factory(provider) + self.auth = auth_factory(credentials) def validate_credentials(self): return self.auth.validate_credentials() + + @staticmethod + def get_apikey_auth_factory(provider: str) -> type[ApiKeyAuthBase]: + match provider: + case AuthType.FIRECRAWL: + from services.auth.firecrawl.firecrawl import FirecrawlAuth + + return FirecrawlAuth + case AuthType.JINA: + from services.auth.jina.jina import JinaAuth + + return JinaAuth + case _: + raise ValueError("Invalid provider") diff --git a/api/services/auth/auth_type.py b/api/services/auth/auth_type.py new file mode 100644 index 0000000000..2d6e901447 --- /dev/null +++ b/api/services/auth/auth_type.py @@ -0,0 +1,6 @@ +from enum import Enum + + +class AuthType(str, Enum): + FIRECRAWL = "firecrawl" + JINA = "jinareader" diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/__init__.py b/api/services/auth/firecrawl/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/__init__.py rename to api/services/auth/firecrawl/__init__.py diff --git a/api/services/auth/firecrawl.py b/api/services/auth/firecrawl/firecrawl.py similarity index 100% rename from api/services/auth/firecrawl.py rename to api/services/auth/firecrawl/firecrawl.py diff --git a/api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/__init__.py b/api/services/auth/jina/__init__.py similarity index 100% rename from api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/chat/__init__.py rename to api/services/auth/jina/__init__.py diff --git a/api/services/auth/jina.py b/api/services/auth/jina/jina.py similarity index 100% rename from api/services/auth/jina.py rename to api/services/auth/jina/jina.py diff --git a/api/services/recommend_app/__init__.py b/api/services/recommend_app/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/services/recommend_app/buildin/__init__.py b/api/services/recommend_app/buildin/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/services/recommend_app/buildin/buildin_retrieval.py b/api/services/recommend_app/buildin/buildin_retrieval.py new file mode 100644 index 0000000000..4704d533a9 --- /dev/null +++ b/api/services/recommend_app/buildin/buildin_retrieval.py @@ -0,0 +1,64 @@ +import json +from os import path +from pathlib import Path +from typing import Optional + +from flask import current_app + +from services.recommend_app.recommend_app_base import RecommendAppRetrievalBase +from services.recommend_app.recommend_app_type import RecommendAppType + + +class BuildInRecommendAppRetrieval(RecommendAppRetrievalBase): + """ + Retrieval recommended app from buildin, the location is constants/recommended_apps.json + """ + + builtin_data: Optional[dict] = None + + def get_type(self) -> str: + return RecommendAppType.BUILDIN + + def get_recommended_apps_and_categories(self, language: str) -> dict: + result = self.fetch_recommended_apps_from_builtin(language) + return result + + def get_recommend_app_detail(self, app_id: str): + result = self.fetch_recommended_app_detail_from_builtin(app_id) + return result + + @classmethod + def _get_builtin_data(cls) -> dict: + """ + Get builtin data. + :return: + """ + if cls.builtin_data: + return cls.builtin_data + + root_path = current_app.root_path + cls.builtin_data = json.loads( + Path(path.join(root_path, "constants", "recommended_apps.json")).read_text(encoding="utf-8") + ) + + return cls.builtin_data + + @classmethod + def fetch_recommended_apps_from_builtin(cls, language: str) -> dict: + """ + Fetch recommended apps from builtin. + :param language: language + :return: + """ + builtin_data = cls._get_builtin_data() + return builtin_data.get("recommended_apps", {}).get(language) + + @classmethod + def fetch_recommended_app_detail_from_builtin(cls, app_id: str) -> Optional[dict]: + """ + Fetch recommended app detail from builtin. + :param app_id: App ID + :return: + """ + builtin_data = cls._get_builtin_data() + return builtin_data.get("app_details", {}).get(app_id) diff --git a/api/services/recommend_app/database/__init__.py b/api/services/recommend_app/database/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/services/recommend_app/database/database_retrieval.py b/api/services/recommend_app/database/database_retrieval.py new file mode 100644 index 0000000000..995d3755bb --- /dev/null +++ b/api/services/recommend_app/database/database_retrieval.py @@ -0,0 +1,111 @@ +from typing import Optional + +from constants.languages import languages +from extensions.ext_database import db +from models.model import App, RecommendedApp +from services.app_dsl_service import AppDslService +from services.recommend_app.recommend_app_base import RecommendAppRetrievalBase +from services.recommend_app.recommend_app_type import RecommendAppType + + +class DatabaseRecommendAppRetrieval(RecommendAppRetrievalBase): + """ + Retrieval recommended app from database + """ + + def get_recommended_apps_and_categories(self, language: str) -> dict: + result = self.fetch_recommended_apps_from_db(language) + return result + + def get_recommend_app_detail(self, app_id: str): + result = self.fetch_recommended_app_detail_from_db(app_id) + return result + + def get_type(self) -> str: + return RecommendAppType.DATABASE + + @classmethod + def fetch_recommended_apps_from_db(cls, language: str) -> dict: + """ + Fetch recommended apps from db. + :param language: language + :return: + """ + recommended_apps = ( + db.session.query(RecommendedApp) + .filter(RecommendedApp.is_listed == True, RecommendedApp.language == language) + .all() + ) + + if len(recommended_apps) == 0: + recommended_apps = ( + db.session.query(RecommendedApp) + .filter(RecommendedApp.is_listed == True, RecommendedApp.language == languages[0]) + .all() + ) + + categories = set() + recommended_apps_result = [] + for recommended_app in recommended_apps: + app = recommended_app.app + if not app or not app.is_public: + continue + + site = app.site + if not site: + continue + + recommended_app_result = { + "id": recommended_app.id, + "app": { + "id": app.id, + "name": app.name, + "mode": app.mode, + "icon": app.icon, + "icon_background": app.icon_background, + }, + "app_id": recommended_app.app_id, + "description": site.description, + "copyright": site.copyright, + "privacy_policy": site.privacy_policy, + "custom_disclaimer": site.custom_disclaimer, + "category": recommended_app.category, + "position": recommended_app.position, + "is_listed": recommended_app.is_listed, + } + recommended_apps_result.append(recommended_app_result) + + categories.add(recommended_app.category) + + return {"recommended_apps": recommended_apps_result, "categories": sorted(categories)} + + @classmethod + def fetch_recommended_app_detail_from_db(cls, app_id: str) -> Optional[dict]: + """ + Fetch recommended app detail from db. + :param app_id: App ID + :return: + """ + # is in public recommended list + recommended_app = ( + db.session.query(RecommendedApp) + .filter(RecommendedApp.is_listed == True, RecommendedApp.app_id == app_id) + .first() + ) + + if not recommended_app: + return None + + # get app detail + app_model = db.session.query(App).filter(App.id == app_id).first() + if not app_model or not app_model.is_public: + return None + + return { + "id": app_model.id, + "name": app_model.name, + "icon": app_model.icon, + "icon_background": app_model.icon_background, + "mode": app_model.mode, + "export_data": AppDslService.export_dsl(app_model=app_model), + } diff --git a/api/services/recommend_app/recommend_app_base.py b/api/services/recommend_app/recommend_app_base.py new file mode 100644 index 0000000000..00c037710e --- /dev/null +++ b/api/services/recommend_app/recommend_app_base.py @@ -0,0 +1,17 @@ +from abc import ABC, abstractmethod + + +class RecommendAppRetrievalBase(ABC): + """Interface for recommend app retrieval.""" + + @abstractmethod + def get_recommended_apps_and_categories(self, language: str) -> dict: + raise NotImplementedError + + @abstractmethod + def get_recommend_app_detail(self, app_id: str): + raise NotImplementedError + + @abstractmethod + def get_type(self) -> str: + raise NotImplementedError diff --git a/api/services/recommend_app/recommend_app_factory.py b/api/services/recommend_app/recommend_app_factory.py new file mode 100644 index 0000000000..e53667c0b0 --- /dev/null +++ b/api/services/recommend_app/recommend_app_factory.py @@ -0,0 +1,23 @@ +from services.recommend_app.buildin.buildin_retrieval import BuildInRecommendAppRetrieval +from services.recommend_app.database.database_retrieval import DatabaseRecommendAppRetrieval +from services.recommend_app.recommend_app_base import RecommendAppRetrievalBase +from services.recommend_app.recommend_app_type import RecommendAppType +from services.recommend_app.remote.remote_retrieval import RemoteRecommendAppRetrieval + + +class RecommendAppRetrievalFactory: + @staticmethod + def get_recommend_app_factory(mode: str) -> type[RecommendAppRetrievalBase]: + match mode: + case RecommendAppType.REMOTE: + return RemoteRecommendAppRetrieval + case RecommendAppType.DATABASE: + return DatabaseRecommendAppRetrieval + case RecommendAppType.BUILDIN: + return BuildInRecommendAppRetrieval + case _: + raise ValueError(f"invalid fetch recommended apps mode: {mode}") + + @staticmethod + def get_buildin_recommend_app_retrieval(): + return BuildInRecommendAppRetrieval diff --git a/api/services/recommend_app/recommend_app_type.py b/api/services/recommend_app/recommend_app_type.py new file mode 100644 index 0000000000..7ea93b3f64 --- /dev/null +++ b/api/services/recommend_app/recommend_app_type.py @@ -0,0 +1,7 @@ +from enum import Enum + + +class RecommendAppType(str, Enum): + REMOTE = "remote" + BUILDIN = "builtin" + DATABASE = "db" diff --git a/api/services/recommend_app/remote/__init__.py b/api/services/recommend_app/remote/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/services/recommend_app/remote/remote_retrieval.py b/api/services/recommend_app/remote/remote_retrieval.py new file mode 100644 index 0000000000..b0607a2132 --- /dev/null +++ b/api/services/recommend_app/remote/remote_retrieval.py @@ -0,0 +1,71 @@ +import logging +from typing import Optional + +import requests + +from configs import dify_config +from services.recommend_app.buildin.buildin_retrieval import BuildInRecommendAppRetrieval +from services.recommend_app.recommend_app_base import RecommendAppRetrievalBase +from services.recommend_app.recommend_app_type import RecommendAppType + +logger = logging.getLogger(__name__) + + +class RemoteRecommendAppRetrieval(RecommendAppRetrievalBase): + """ + Retrieval recommended app from dify official + """ + + def get_recommend_app_detail(self, app_id: str): + try: + result = self.fetch_recommended_app_detail_from_dify_official(app_id) + except Exception as e: + logger.warning(f"fetch recommended app detail from dify official failed: {e}, switch to built-in.") + result = BuildInRecommendAppRetrieval.fetch_recommended_app_detail_from_builtin(app_id) + return result + + def get_recommended_apps_and_categories(self, language: str) -> dict: + try: + result = self.fetch_recommended_apps_from_dify_official(language) + except Exception as e: + logger.warning(f"fetch recommended apps from dify official failed: {e}, switch to built-in.") + result = BuildInRecommendAppRetrieval.fetch_recommended_apps_from_builtin(language) + return result + + def get_type(self) -> str: + return RecommendAppType.REMOTE + + @classmethod + def fetch_recommended_app_detail_from_dify_official(cls, app_id: str) -> Optional[dict]: + """ + Fetch recommended app detail from dify official. + :param app_id: App ID + :return: + """ + domain = dify_config.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN + url = f"{domain}/apps/{app_id}" + response = requests.get(url, timeout=(3, 10)) + if response.status_code != 200: + return None + + return response.json() + + @classmethod + def fetch_recommended_apps_from_dify_official(cls, language: str) -> dict: + """ + Fetch recommended apps from dify official. + :param language: language + :return: + """ + domain = dify_config.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN + url = f"{domain}/apps?language={language}" + response = requests.get(url, timeout=(3, 10)) + if response.status_code != 200: + raise ValueError(f"fetch recommended apps failed, status code: {response.status_code}") + + result = response.json() + + if "categories" in result: + result["categories"] = sorted(result["categories"]) + + return result diff --git a/api/services/recommended_app_service.py b/api/services/recommended_app_service.py index daec8393d0..4660316fcf 100644 --- a/api/services/recommended_app_service.py +++ b/api/services/recommended_app_service.py @@ -1,24 +1,10 @@ -import json -import logging -from os import path -from pathlib import Path from typing import Optional -import requests -from flask import current_app - from configs import dify_config -from constants.languages import languages -from extensions.ext_database import db -from models.model import App, RecommendedApp -from services.app_dsl_service import AppDslService - -logger = logging.getLogger(__name__) +from services.recommend_app.recommend_app_factory import RecommendAppRetrievalFactory class RecommendedAppService: - builtin_data: Optional[dict] = None - @classmethod def get_recommended_apps_and_categories(cls, language: str) -> dict: """ @@ -27,109 +13,17 @@ class RecommendedAppService: :return: """ mode = dify_config.HOSTED_FETCH_APP_TEMPLATES_MODE - if mode == "remote": - try: - result = cls._fetch_recommended_apps_from_dify_official(language) - except Exception as e: - logger.warning(f"fetch recommended apps from dify official failed: {e}, switch to built-in.") - result = cls._fetch_recommended_apps_from_builtin(language) - elif mode == "db": - result = cls._fetch_recommended_apps_from_db(language) - elif mode == "builtin": - result = cls._fetch_recommended_apps_from_builtin(language) - else: - raise ValueError(f"invalid fetch recommended apps mode: {mode}") - + retrieval_instance = RecommendAppRetrievalFactory.get_recommend_app_factory(mode)() + result = retrieval_instance.get_recommended_apps_and_categories(language) if not result.get("recommended_apps") and language != "en-US": - result = cls._fetch_recommended_apps_from_builtin("en-US") - - return result - - @classmethod - def _fetch_recommended_apps_from_db(cls, language: str) -> dict: - """ - Fetch recommended apps from db. - :param language: language - :return: - """ - recommended_apps = ( - db.session.query(RecommendedApp) - .filter(RecommendedApp.is_listed == True, RecommendedApp.language == language) - .all() - ) - - if len(recommended_apps) == 0: - recommended_apps = ( - db.session.query(RecommendedApp) - .filter(RecommendedApp.is_listed == True, RecommendedApp.language == languages[0]) - .all() + result = ( + RecommendAppRetrievalFactory.get_buildin_recommend_app_retrieval().fetch_recommended_apps_from_builtin( + "en-US" + ) ) - categories = set() - recommended_apps_result = [] - for recommended_app in recommended_apps: - app = recommended_app.app - if not app or not app.is_public: - continue - - site = app.site - if not site: - continue - - recommended_app_result = { - "id": recommended_app.id, - "app": { - "id": app.id, - "name": app.name, - "mode": app.mode, - "icon": app.icon, - "icon_background": app.icon_background, - }, - "app_id": recommended_app.app_id, - "description": site.description, - "copyright": site.copyright, - "privacy_policy": site.privacy_policy, - "custom_disclaimer": site.custom_disclaimer, - "category": recommended_app.category, - "position": recommended_app.position, - "is_listed": recommended_app.is_listed, - } - recommended_apps_result.append(recommended_app_result) - - categories.add(recommended_app.category) # add category to categories - - return {"recommended_apps": recommended_apps_result, "categories": sorted(categories)} - - @classmethod - def _fetch_recommended_apps_from_dify_official(cls, language: str) -> dict: - """ - Fetch recommended apps from dify official. - :param language: language - :return: - """ - domain = dify_config.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN - url = f"{domain}/apps?language={language}" - response = requests.get(url, timeout=(3, 10)) - if response.status_code != 200: - raise ValueError(f"fetch recommended apps failed, status code: {response.status_code}") - - result = response.json() - - if "categories" in result: - result["categories"] = sorted(result["categories"]) - return result - @classmethod - def _fetch_recommended_apps_from_builtin(cls, language: str) -> dict: - """ - Fetch recommended apps from builtin. - :param language: language - :return: - """ - builtin_data = cls._get_builtin_data() - return builtin_data.get("recommended_apps", {}).get(language) - @classmethod def get_recommend_app_detail(cls, app_id: str) -> Optional[dict]: """ @@ -138,117 +32,6 @@ class RecommendedAppService: :return: """ mode = dify_config.HOSTED_FETCH_APP_TEMPLATES_MODE - if mode == "remote": - try: - result = cls._fetch_recommended_app_detail_from_dify_official(app_id) - except Exception as e: - logger.warning(f"fetch recommended app detail from dify official failed: {e}, switch to built-in.") - result = cls._fetch_recommended_app_detail_from_builtin(app_id) - elif mode == "db": - result = cls._fetch_recommended_app_detail_from_db(app_id) - elif mode == "builtin": - result = cls._fetch_recommended_app_detail_from_builtin(app_id) - else: - raise ValueError(f"invalid fetch recommended app detail mode: {mode}") - + retrieval_instance = RecommendAppRetrievalFactory.get_recommend_app_factory(mode)() + result = retrieval_instance.get_recommend_app_detail(app_id) return result - - @classmethod - def _fetch_recommended_app_detail_from_dify_official(cls, app_id: str) -> Optional[dict]: - """ - Fetch recommended app detail from dify official. - :param app_id: App ID - :return: - """ - domain = dify_config.HOSTED_FETCH_APP_TEMPLATES_REMOTE_DOMAIN - url = f"{domain}/apps/{app_id}" - response = requests.get(url, timeout=(3, 10)) - if response.status_code != 200: - return None - - return response.json() - - @classmethod - def _fetch_recommended_app_detail_from_db(cls, app_id: str) -> Optional[dict]: - """ - Fetch recommended app detail from db. - :param app_id: App ID - :return: - """ - # is in public recommended list - recommended_app = ( - db.session.query(RecommendedApp) - .filter(RecommendedApp.is_listed == True, RecommendedApp.app_id == app_id) - .first() - ) - - if not recommended_app: - return None - - # get app detail - app_model = db.session.query(App).filter(App.id == app_id).first() - if not app_model or not app_model.is_public: - return None - - return { - "id": app_model.id, - "name": app_model.name, - "icon": app_model.icon, - "icon_background": app_model.icon_background, - "mode": app_model.mode, - "export_data": AppDslService.export_dsl(app_model=app_model), - } - - @classmethod - def _fetch_recommended_app_detail_from_builtin(cls, app_id: str) -> Optional[dict]: - """ - Fetch recommended app detail from builtin. - :param app_id: App ID - :return: - """ - builtin_data = cls._get_builtin_data() - return builtin_data.get("app_details", {}).get(app_id) - - @classmethod - def _get_builtin_data(cls) -> dict: - """ - Get builtin data. - :return: - """ - if cls.builtin_data: - return cls.builtin_data - - root_path = current_app.root_path - cls.builtin_data = json.loads( - Path(path.join(root_path, "constants", "recommended_apps.json")).read_text(encoding="utf-8") - ) - - return cls.builtin_data - - @classmethod - def fetch_all_recommended_apps_and_export_datas(cls): - """ - Fetch all recommended apps and export datas - :return: - """ - templates = {"recommended_apps": {}, "app_details": {}} - for language in languages: - try: - result = cls._fetch_recommended_apps_from_dify_official(language) - except Exception as e: - logger.warning(f"fetch recommended apps from dify official failed: {e}, skip.") - continue - - templates["recommended_apps"][language] = result - - for recommended_app in result.get("recommended_apps"): - app_id = recommended_app.get("app_id") - - # get app detail - app_detail = cls._fetch_recommended_app_detail_from_dify_official(app_id) - if not app_detail: - continue - - templates["app_details"][app_id] = app_detail - - return templates diff --git a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py index 4262d40f3e..e26855344e 100644 --- a/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py +++ b/api/tests/integration_tests/model_runtime/__mock/openai_moderation.py @@ -41,6 +41,8 @@ class MockModerationClass: "sexual/minors": False, "violence": False, "violence/graphic": False, + "illicit": False, + "illicit/violent": False, } moderation_categories_scores = { "harassment": 1.0, @@ -54,13 +56,30 @@ class MockModerationClass: "sexual/minors": 1.0, "violence": 1.0, "violence/graphic": 1.0, + "illicit": 1.0, + "illicit/violent": 1.0, + } + category_applied_input_types = { + "sexual": ["text", "image"], + "hate": ["text"], + "harassment": ["text"], + "self-harm": ["text", "image"], + "sexual/minors": ["text"], + "hate/threatening": ["text"], + "violence/graphic": ["text", "image"], + "self-harm/intent": ["text", "image"], + "self-harm/instructions": ["text", "image"], + "harassment/threatening": ["text"], + "violence": ["text", "image"], + "illicit": ["text"], + "illicit/violent": ["text"], } - result.append( Moderation( flagged=True, categories=Categories(**moderation_categories), category_scores=CategoryScores(**moderation_categories_scores), + category_applied_input_types=category_applied_input_types, ) ) else: @@ -76,6 +95,8 @@ class MockModerationClass: "sexual/minors": False, "violence": False, "violence/graphic": False, + "illicit": False, + "illicit/violent": False, } moderation_categories_scores = { "harassment": 0.0, @@ -89,12 +110,30 @@ class MockModerationClass: "sexual/minors": 0.0, "violence": 0.0, "violence/graphic": 0.0, + "illicit": 0.0, + "illicit/violent": 0.0, + } + category_applied_input_types = { + "sexual": ["text", "image"], + "hate": ["text"], + "harassment": ["text"], + "self-harm": ["text", "image"], + "sexual/minors": ["text"], + "hate/threatening": ["text"], + "violence/graphic": ["text", "image"], + "self-harm/intent": ["text", "image"], + "self-harm/instructions": ["text", "image"], + "harassment/threatening": ["text"], + "violence": ["text", "image"], + "illicit": ["text"], + "illicit/violent": ["text"], } result.append( Moderation( flagged=False, categories=Categories(**moderation_categories), category_scores=CategoryScores(**moderation_categories_scores), + category_applied_input_types=category_applied_input_types, ) ) diff --git a/api/tests/integration_tests/vdb/__mock/baiduvectordb.py b/api/tests/integration_tests/vdb/__mock/baiduvectordb.py index a8eaf42b7d..f20833ea56 100644 --- a/api/tests/integration_tests/vdb/__mock/baiduvectordb.py +++ b/api/tests/integration_tests/vdb/__mock/baiduvectordb.py @@ -1,4 +1,5 @@ import os +from unittest.mock import MagicMock import pytest from _pytest.monkeypatch import MonkeyPatch @@ -10,26 +11,31 @@ from pymochow.model.table import Table from requests.adapters import HTTPAdapter +class AttrDict(dict): + def __getattr__(self, item): + return self.get(item) + + class MockBaiduVectorDBClass: def mock_vector_db_client( self, config=None, adapter: HTTPAdapter = None, ): - self._conn = None - self._config = None + self.conn = MagicMock() + self._config = MagicMock() def list_databases(self, config=None) -> list[Database]: return [ Database( - conn=self._conn, + conn=self.conn, database_name="dify", config=self._config, ) ] def create_database(self, database_name: str, config=None) -> Database: - return Database(conn=self._conn, database_name=database_name, config=config) + return Database(conn=self.conn, database_name=database_name, config=config) def list_table(self, config=None) -> list[Table]: return [] @@ -88,16 +94,18 @@ class MockBaiduVectorDBClass: read_consistency=ReadConsistency.EVENTUAL, config=None, ): - return { - "row": { - "id": "doc_id_001", - "vector": [0.23432432, 0.8923744, 0.89238432], - "text": "text", - "metadata": {"doc_id": "doc_id_001"}, - }, - "code": 0, - "msg": "Success", - } + return AttrDict( + { + "row": { + "id": primary_key.get("id"), + "vector": [0.23432432, 0.8923744, 0.89238432], + "text": "text", + "metadata": '{"doc_id": "doc_id_001"}', + }, + "code": 0, + "msg": "Success", + } + ) def delete(self, primary_key=None, partition_key=None, filter=None, config=None): return {"code": 0, "msg": "Success"} @@ -111,22 +119,24 @@ class MockBaiduVectorDBClass: read_consistency=ReadConsistency.EVENTUAL, config=None, ): - return { - "rows": [ - { - "row": { - "id": "doc_id_001", - "vector": [0.23432432, 0.8923744, 0.89238432], - "text": "text", - "metadata": {"doc_id": "doc_id_001"}, - }, - "distance": 0.1, - "score": 0.5, - } - ], - "code": 0, - "msg": "Success", - } + return AttrDict( + { + "rows": [ + { + "row": { + "id": "doc_id_001", + "vector": [0.23432432, 0.8923744, 0.89238432], + "text": "text", + "metadata": '{"doc_id": "doc_id_001"}', + }, + "distance": 0.1, + "score": 0.5, + } + ], + "code": 0, + "msg": "Success", + } + ) MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true" @@ -146,6 +156,7 @@ def setup_baiduvectordb_mock(request, monkeypatch: MonkeyPatch): monkeypatch.setattr(Table, "rebuild_index", MockBaiduVectorDBClass.rebuild_index) monkeypatch.setattr(Table, "describe_index", MockBaiduVectorDBClass.describe_index) monkeypatch.setattr(Table, "delete", MockBaiduVectorDBClass.delete) + monkeypatch.setattr(Table, "query", MockBaiduVectorDBClass.query) monkeypatch.setattr(Table, "search", MockBaiduVectorDBClass.search) yield diff --git a/api/tests/integration_tests/vdb/baidu/test_baidu.py b/api/tests/integration_tests/vdb/baidu/test_baidu.py index 01a7f8853a..5dc2ce4f82 100644 --- a/api/tests/integration_tests/vdb/baidu/test_baidu.py +++ b/api/tests/integration_tests/vdb/baidu/test_baidu.py @@ -4,9 +4,6 @@ from core.rag.datasource.vdb.baidu.baidu_vector import BaiduConfig, BaiduVector from tests.integration_tests.vdb.__mock.baiduvectordb import setup_baiduvectordb_mock from tests.integration_tests.vdb.test_vector_store import AbstractVectorTest, get_example_text, setup_mock_redis -mock_client = MagicMock() -mock_client.list_databases.return_value = [{"name": "test"}] - class BaiduVectorTest(AbstractVectorTest): def __init__(self): diff --git a/dev/pytest/pytest_vdb.sh b/dev/pytest/pytest_vdb.sh index 6809ef7c6f..ea1e7d4c80 100755 --- a/dev/pytest/pytest_vdb.sh +++ b/dev/pytest/pytest_vdb.sh @@ -8,4 +8,5 @@ pytest api/tests/integration_tests/vdb/chroma \ api/tests/integration_tests/vdb/qdrant \ api/tests/integration_tests/vdb/weaviate \ api/tests/integration_tests/vdb/elasticsearch \ - api/tests/integration_tests/vdb/vikingdb + api/tests/integration_tests/vdb/vikingdb \ + api/tests/integration_tests/vdb/baidu diff --git a/docker-legacy/docker-compose.yaml b/docker-legacy/docker-compose.yaml index 3f230b47ab..273f95b428 100644 --- a/docker-legacy/docker-compose.yaml +++ b/docker-legacy/docker-compose.yaml @@ -2,7 +2,7 @@ version: '3' services: # API service api: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: # Startup mode, 'api' starts the API server. @@ -227,7 +227,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: CONSOLE_WEB_URL: '' @@ -396,7 +396,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.9.1 + image: langgenius/dify-web:0.9.2 restart: always environment: # The base URL of console application api server, refers to the Console base URL of WEB service if console domain is diff --git a/docker/.env.example b/docker/.env.example index e27cad6fb8..b13efebf6b 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -58,7 +58,7 @@ DEBUG=false # which is convenient for debugging. FLASK_DEBUG=false -# A secretkey that is used for securely signing the session cookie +# A secretkey that is used for securely signing the session cookie # and encrypting sensitive information on the database. # You can generate a strong key using `openssl rand -base64 42`. SECRET_KEY=sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U @@ -366,8 +366,8 @@ SUPABASE_URL=your-server-url # Vector Database Configuration # ------------------------------ -# The type of vector store to use. -# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, ``chroma`, `opensearch`, `tidb_vector`, `oracle`, `tencent`, `elasticsearch`, `analyticdb`. +# The type of vector store to use. +# Supported values are `weaviate`, `qdrant`, `milvus`, `myscale`, `relyt`, `pgvector`, `pgvecto-rs`, `chroma`, `opensearch`, `tidb_vector`, `oracle`, `tencent`, `elasticsearch`, `analyticdb`, `vikingdb`. VECTOR_STORE=weaviate # The Weaviate endpoint URL. Only available when VECTOR_STORE is `weaviate`. @@ -492,6 +492,15 @@ BAIDU_VECTOR_DB_DATABASE=dify BAIDU_VECTOR_DB_SHARD=1 BAIDU_VECTOR_DB_REPLICAS=3 +# VikingDB configurations, only available when VECTOR_STORE is `vikingdb` +VIKINGDB_ACCESS_KEY=your-ak +VIKINGDB_SECRET_KEY=your-sk +VIKINGDB_REGION=cn-shanghai +VIKINGDB_HOST=api-vikingdb.xxx.volces.com +VIKINGDB_SCHEMA=http +VIKINGDB_CONNECTION_TIMEOUT=30 +VIKINGDB_SOCKET_TIMEOUT=30 + # ------------------------------ # Knowledge Configuration # ------------------------------ @@ -667,7 +676,7 @@ SANDBOX_PORT=8194 # Environment Variables for weaviate Service # (only used when VECTOR_STORE is weaviate) # ------------------------------ -WEAVIATE_PERSISTENCE_DATA_PATH='/var/lib/weaviate' +WEAVIATE_PERSISTENCE_DATA_PATH=/var/lib/weaviate WEAVIATE_QUERY_DEFAULTS_LIMIT=25 WEAVIATE_AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED=true WEAVIATE_DEFAULT_VECTORIZER_MODULE=none @@ -829,4 +838,4 @@ POSITION_PROVIDER_INCLUDES= POSITION_PROVIDER_EXCLUDES= # CSP https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP -CSP_WHITELIST= \ No newline at end of file +CSP_WHITELIST= diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 5db11d1961..6c3331aadc 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -227,7 +227,7 @@ x-shared-env: &shared-api-worker-env services: # API service api: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: # Use the shared environment variables. @@ -247,7 +247,7 @@ services: # worker service # The Celery worker for processing the queue. worker: - image: langgenius/dify-api:0.9.1 + image: langgenius/dify-api:0.9.2 restart: always environment: # Use the shared environment variables. @@ -266,7 +266,7 @@ services: # Frontend web application. web: - image: langgenius/dify-web:0.9.1 + image: langgenius/dify-web:0.9.2 restart: always environment: CONSOLE_API_URL: ${CONSOLE_API_URL:-} diff --git a/sdks/python-client/dify_client/__init__.py b/sdks/python-client/dify_client/__init__.py index 6ef0017fee..6fa9d190e5 100644 --- a/sdks/python-client/dify_client/__init__.py +++ b/sdks/python-client/dify_client/__init__.py @@ -1 +1 @@ -from dify_client.client import ChatClient, CompletionClient, DifyClient \ No newline at end of file +from dify_client.client import ChatClient, CompletionClient, DifyClient diff --git a/sdks/python-client/dify_client/client.py b/sdks/python-client/dify_client/client.py index 5e42507a42..e664488301 100644 --- a/sdks/python-client/dify_client/client.py +++ b/sdks/python-client/dify_client/client.py @@ -9,10 +9,15 @@ class DifyClient: self.base_url = base_url def _send_request(self, method, endpoint, json=None, params=None, stream=False): - headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"} + headers = { + "Authorization": f"Bearer {self.api_key}", + "Content-Type": "application/json", + } url = f"{self.base_url}{endpoint}" - response = requests.request(method, url, json=json, params=params, headers=headers, stream=stream) + response = requests.request( + method, url, json=json, params=params, headers=headers, stream=stream + ) return response @@ -20,7 +25,9 @@ class DifyClient: headers = {"Authorization": f"Bearer {self.api_key}"} url = f"{self.base_url}{endpoint}" - response = requests.request(method, url, data=data, headers=headers, files=files) + response = requests.request( + method, url, data=data, headers=headers, files=files + ) return response @@ -34,7 +41,9 @@ class DifyClient: def file_upload(self, user, files): data = {"user": user} - return self._send_request_with_files("POST", "/files/upload", data=data, files=files) + return self._send_request_with_files( + "POST", "/files/upload", data=data, files=files + ) def text_to_audio(self, text: str, user: str, streaming: bool = False): data = {"text": text, "user": user, "streaming": streaming} @@ -47,25 +56,52 @@ class DifyClient: class CompletionClient(DifyClient): def create_completion_message(self, inputs, response_mode, user, files=None): - data = {"inputs": inputs, "response_mode": response_mode, "user": user, "files": files} + data = { + "inputs": inputs, + "response_mode": response_mode, + "user": user, + "files": files, + } return self._send_request( - "POST", "/completion-messages", data, stream=True if response_mode == "streaming" else False + "POST", + "/completion-messages", + data, + stream=True if response_mode == "streaming" else False, ) class ChatClient(DifyClient): - def create_chat_message(self, inputs, query, user, response_mode="blocking", conversation_id=None, files=None): - data = {"inputs": inputs, "query": query, "user": user, "response_mode": response_mode, "files": files} + def create_chat_message( + self, + inputs, + query, + user, + response_mode="blocking", + conversation_id=None, + files=None, + ): + data = { + "inputs": inputs, + "query": query, + "user": user, + "response_mode": response_mode, + "files": files, + } if conversation_id: data["conversation_id"] = conversation_id return self._send_request( - "POST", "/chat-messages", data, stream=True if response_mode == "streaming" else False + "POST", + "/chat-messages", + data, + stream=True if response_mode == "streaming" else False, ) def get_suggested(self, message_id, user: str): params = {"user": user} - return self._send_request("GET", f"/messages/{message_id}/suggested", params=params) + return self._send_request( + "GET", f"/messages/{message_id}/suggested", params=params + ) def stop_message(self, task_id, user): data = {"user": user} @@ -75,7 +111,9 @@ class ChatClient(DifyClient): params = {"user": user, "last_id": last_id, "limit": limit, "pinned": pinned} return self._send_request("GET", "/conversations", params=params) - def get_conversation_messages(self, user, conversation_id=None, first_id=None, limit=None): + def get_conversation_messages( + self, user, conversation_id=None, first_id=None, limit=None + ): params = {"user": user} if conversation_id: @@ -87,9 +125,13 @@ class ChatClient(DifyClient): return self._send_request("GET", "/messages", params=params) - def rename_conversation(self, conversation_id, name, auto_generate: bool, user: str): + def rename_conversation( + self, conversation_id, name, auto_generate: bool, user: str + ): data = {"name": name, "auto_generate": auto_generate, "user": user} - return self._send_request("POST", f"/conversations/{conversation_id}/name", data) + return self._send_request( + "POST", f"/conversations/{conversation_id}/name", data + ) def delete_conversation(self, conversation_id, user): data = {"user": user} @@ -102,7 +144,9 @@ class ChatClient(DifyClient): class WorkflowClient(DifyClient): - def run(self, inputs: dict, response_mode: str = "streaming", user: str = "abc-123"): + def run( + self, inputs: dict, response_mode: str = "streaming", user: str = "abc-123" + ): data = {"inputs": inputs, "response_mode": response_mode, "user": user} return self._send_request("POST", "/workflows/run", data) @@ -115,7 +159,9 @@ class WorkflowClient(DifyClient): class KnowledgeBaseClient(DifyClient): - def __init__(self, api_key, base_url: str = "https://api.dify.ai/v1", dataset_id: str = None): + def __init__( + self, api_key, base_url: str = "https://api.dify.ai/v1", dataset_id: str = None + ): """ Construct a KnowledgeBaseClient object. @@ -137,7 +183,9 @@ class KnowledgeBaseClient(DifyClient): return self._send_request("POST", "/datasets", {"name": name}, **kwargs) def list_datasets(self, page: int = 1, page_size: int = 20, **kwargs): - return self._send_request("GET", f"/datasets?page={page}&limit={page_size}", **kwargs) + return self._send_request( + "GET", f"/datasets?page={page}&limit={page_size}", **kwargs + ) def create_document_by_text(self, name, text, extra_params: dict = None, **kwargs): """ @@ -165,13 +213,20 @@ class KnowledgeBaseClient(DifyClient): } :return: Response from the API """ - data = {"indexing_technique": "high_quality", "process_rule": {"mode": "automatic"}, "name": name, "text": text} + data = { + "indexing_technique": "high_quality", + "process_rule": {"mode": "automatic"}, + "name": name, + "text": text, + } if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) url = f"/datasets/{self._get_dataset_id()}/document/create_by_text" return self._send_request("POST", url, json=data, **kwargs) - def update_document_by_text(self, document_id, name, text, extra_params: dict = None, **kwargs): + def update_document_by_text( + self, document_id, name, text, extra_params: dict = None, **kwargs + ): """ Update a document by text. @@ -201,10 +256,14 @@ class KnowledgeBaseClient(DifyClient): data = {"name": name, "text": text} if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) - url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_text" + url = ( + f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_text" + ) return self._send_request("POST", url, json=data, **kwargs) - def create_document_by_file(self, file_path, original_document_id=None, extra_params: dict = None): + def create_document_by_file( + self, file_path, original_document_id=None, extra_params: dict = None + ): """ Create a document by file. @@ -231,15 +290,22 @@ class KnowledgeBaseClient(DifyClient): :return: Response from the API """ files = {"file": open(file_path, "rb")} - data = {"process_rule": {"mode": "automatic"}, "indexing_technique": "high_quality"} + data = { + "process_rule": {"mode": "automatic"}, + "indexing_technique": "high_quality", + } if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) if original_document_id is not None: data["original_document_id"] = original_document_id url = f"/datasets/{self._get_dataset_id()}/document/create_by_file" - return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files) + return self._send_request_with_files( + "POST", url, {"data": json.dumps(data)}, files + ) - def update_document_by_file(self, document_id, file_path, extra_params: dict = None): + def update_document_by_file( + self, document_id, file_path, extra_params: dict = None + ): """ Update a document by file. @@ -269,8 +335,12 @@ class KnowledgeBaseClient(DifyClient): data = {} if extra_params is not None and isinstance(extra_params, dict): data.update(extra_params) - url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file" - return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files) + url = ( + f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file" + ) + return self._send_request_with_files( + "POST", url, {"data": json.dumps(data)}, files + ) def batch_indexing_status(self, batch_id: str, **kwargs): """ @@ -301,7 +371,9 @@ class KnowledgeBaseClient(DifyClient): url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}" return self._send_request("DELETE", url) - def list_documents(self, page: int = None, page_size: int = None, keyword: str = None, **kwargs): + def list_documents( + self, page: int = None, page_size: int = None, keyword: str = None, **kwargs + ): """ Get a list of documents in this dataset. @@ -329,7 +401,9 @@ class KnowledgeBaseClient(DifyClient): url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments" return self._send_request("POST", url, json=data, **kwargs) - def query_segments(self, document_id, keyword: str = None, status: str = None, **kwargs): + def query_segments( + self, document_id, keyword: str = None, status: str = None, **kwargs + ): """ Query segments in this document. diff --git a/sdks/python-client/setup.py b/sdks/python-client/setup.py index bb8ca46d97..7340fffb4c 100644 --- a/sdks/python-client/setup.py +++ b/sdks/python-client/setup.py @@ -12,17 +12,15 @@ setup( long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/langgenius/dify", - license='MIT', - packages=['dify_client'], + license="MIT", + packages=["dify_client"], classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires=">=3.6", - install_requires=[ - "requests" - ], - keywords='dify nlp ai language-processing', + install_requires=["requests"], + keywords="dify nlp ai language-processing", include_package_data=True, ) diff --git a/sdks/python-client/tests/test_client.py b/sdks/python-client/tests/test_client.py index 301e733b6b..0e8913c5f0 100644 --- a/sdks/python-client/tests/test_client.py +++ b/sdks/python-client/tests/test_client.py @@ -2,7 +2,12 @@ import os import time import unittest -from dify_client.client import ChatClient, CompletionClient, DifyClient, KnowledgeBaseClient +from dify_client.client import ( + ChatClient, + CompletionClient, + DifyClient, + KnowledgeBaseClient, +) API_KEY = os.environ.get("API_KEY") APP_ID = os.environ.get("APP_ID") @@ -13,7 +18,9 @@ FILE_PATH_BASE = os.path.dirname(__file__) class TestKnowledgeBaseClient(unittest.TestCase): def setUp(self): self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL) - self.README_FILE_PATH = os.path.abspath(os.path.join(FILE_PATH_BASE, "../README.md")) + self.README_FILE_PATH = os.path.abspath( + os.path.join(FILE_PATH_BASE, "../README.md") + ) self.dataset_id = None self.document_id = None self.segment_id = None @@ -21,7 +28,9 @@ class TestKnowledgeBaseClient(unittest.TestCase): def _get_dataset_kb_client(self): self.assertIsNotNone(self.dataset_id) - return KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id) + return KnowledgeBaseClient( + API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id + ) def test_001_create_dataset(self): response = self.knowledge_base_client.create_dataset(name="test_dataset") @@ -67,7 +76,9 @@ class TestKnowledgeBaseClient(unittest.TestCase): def _test_004_update_document_by_text(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) - response = client.update_document_by_text(self.document_id, "test_document_updated", "test_text_updated") + response = client.update_document_by_text( + self.document_id, "test_document_updated", "test_text_updated" + ) data = response.json() self.assertIn("document", data) self.assertIn("batch", data) @@ -82,7 +93,9 @@ class TestKnowledgeBaseClient(unittest.TestCase): def _test_006_update_document_by_file(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.document_id) - response = client.update_document_by_file(self.document_id, self.README_FILE_PATH) + response = client.update_document_by_file( + self.document_id, self.README_FILE_PATH + ) data = response.json() self.assertIn("document", data) self.assertIn("batch", data) @@ -112,9 +125,9 @@ class TestKnowledgeBaseClient(unittest.TestCase): def _test_010_add_segments(self): client = self._get_dataset_kb_client() - response = client.add_segments(self.document_id, [ - {"content": "test text segment 1"} - ]) + response = client.add_segments( + self.document_id, [{"content": "test text segment 1"}] + ) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) @@ -131,9 +144,11 @@ class TestKnowledgeBaseClient(unittest.TestCase): def _test_012_update_document_segment(self): client = self._get_dataset_kb_client() self.assertIsNotNone(self.segment_id) - response = client.update_document_segment(self.document_id, self.segment_id, - {"content": "test text segment 1 updated"} - ) + response = client.update_document_segment( + self.document_id, + self.segment_id, + {"content": "test text segment 1 updated"}, + ) data = response.json() self.assertIn("data", data) self.assertGreater(len(data["data"]), 0) @@ -159,29 +174,37 @@ class TestChatClient(unittest.TestCase): self.chat_client = ChatClient(API_KEY) def test_create_chat_message(self): - response = self.chat_client.create_chat_message({}, "Hello, World!", "test_user") + response = self.chat_client.create_chat_message( + {}, "Hello, World!", "test_user" + ) self.assertIn("answer", response.text) def test_create_chat_message_with_vision_model_by_remote_url(self): - files = [{ - "type": "image", - "transfer_method": "remote_url", - "url": "your_image_url" - }] - response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files) + files = [ + {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"} + ] + response = self.chat_client.create_chat_message( + {}, "Describe the picture.", "test_user", files=files + ) self.assertIn("answer", response.text) def test_create_chat_message_with_vision_model_by_local_file(self): - files = [{ - "type": "image", - "transfer_method": "local_file", - "upload_file_id": "your_file_id" - }] - response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files) + files = [ + { + "type": "image", + "transfer_method": "local_file", + "upload_file_id": "your_file_id", + } + ] + response = self.chat_client.create_chat_message( + {}, "Describe the picture.", "test_user", files=files + ) self.assertIn("answer", response.text) def test_get_conversation_messages(self): - response = self.chat_client.get_conversation_messages("test_user", "your_conversation_id") + response = self.chat_client.get_conversation_messages( + "test_user", "your_conversation_id" + ) self.assertIn("answer", response.text) def test_get_conversations(self): @@ -194,28 +217,31 @@ class TestCompletionClient(unittest.TestCase): self.completion_client = CompletionClient(API_KEY) def test_create_completion_message(self): - response = self.completion_client.create_completion_message({"query": "What's the weather like today?"}, - "blocking", "test_user") + response = self.completion_client.create_completion_message( + {"query": "What's the weather like today?"}, "blocking", "test_user" + ) self.assertIn("answer", response.text) def test_create_completion_message_with_vision_model_by_remote_url(self): - files = [{ - "type": "image", - "transfer_method": "remote_url", - "url": "your_image_url" - }] + files = [ + {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"} + ] response = self.completion_client.create_completion_message( - {"query": "Describe the picture."}, "blocking", "test_user", files) + {"query": "Describe the picture."}, "blocking", "test_user", files + ) self.assertIn("answer", response.text) def test_create_completion_message_with_vision_model_by_local_file(self): - files = [{ - "type": "image", - "transfer_method": "local_file", - "upload_file_id": "your_file_id" - }] + files = [ + { + "type": "image", + "transfer_method": "local_file", + "upload_file_id": "your_file_id", + } + ] response = self.completion_client.create_completion_message( - {"query": "Describe the picture."}, "blocking", "test_user", files) + {"query": "Describe the picture."}, "blocking", "test_user", files + ) self.assertIn("answer", response.text) @@ -224,7 +250,9 @@ class TestDifyClient(unittest.TestCase): self.dify_client = DifyClient(API_KEY) def test_message_feedback(self): - response = self.dify_client.message_feedback("your_message_id", 'like', "test_user") + response = self.dify_client.message_feedback( + "your_message_id", "like", "test_user" + ) self.assertIn("success", response.text) def test_get_application_parameters(self): @@ -237,9 +265,7 @@ class TestDifyClient(unittest.TestCase): mime_type = "image/jpeg" with open(file_path, "rb") as file: - files = { - "file": (file_name, file, mime_type) - } + files = {"file": (file_name, file, mime_type)} response = self.dify_client.file_upload("test_user", files) self.assertIn("name", response.text) diff --git a/web/.eslintrc.json b/web/.eslintrc.json index 53308105b6..18b6bc6016 100644 --- a/web/.eslintrc.json +++ b/web/.eslintrc.json @@ -1,7 +1,8 @@ { "extends": [ "next", - "@antfu" + "@antfu", + "plugin:storybook/recommended" ], "rules": { "@typescript-eslint/consistent-type-definitions": [ diff --git a/web/.gitignore b/web/.gitignore index 9dd00b1b08..71d6260ff5 100644 --- a/web/.gitignore +++ b/web/.gitignore @@ -49,4 +49,5 @@ package-lock.json # pmpm pnpm-lock.yaml -.favorites.json \ No newline at end of file +.favorites.json +*storybook.log \ No newline at end of file diff --git a/web/.storybook/main.ts b/web/.storybook/main.ts new file mode 100644 index 0000000000..74e95821de --- /dev/null +++ b/web/.storybook/main.ts @@ -0,0 +1,19 @@ +import type { StorybookConfig } from '@storybook/nextjs' + +const config: StorybookConfig = { + // stories: ['../stories/**/*.mdx', '../stories/**/*.stories.@(js|jsx|mjs|ts|tsx)'], + stories: ['../app/components/**/*.stories.@(js|jsx|mjs|ts|tsx)'], + addons: [ + '@storybook/addon-onboarding', + '@storybook/addon-links', + '@storybook/addon-essentials', + '@chromatic-com/storybook', + '@storybook/addon-interactions', + ], + framework: { + name: '@storybook/nextjs', + options: {}, + }, + staticDirs: ['../public'], +} +export default config diff --git a/web/.storybook/preview.tsx b/web/.storybook/preview.tsx new file mode 100644 index 0000000000..49cd24e974 --- /dev/null +++ b/web/.storybook/preview.tsx @@ -0,0 +1,37 @@ +import React from 'react' +import type { Preview } from '@storybook/react' +import { withThemeByDataAttribute } from '@storybook/addon-themes'; +import I18nServer from '../app/components/i18n-server' + +import '../app/styles/globals.css' +import '../app/styles/markdown.scss' +import './storybook.css' + +export const decorators = [ + withThemeByDataAttribute({ + themes: { + light: 'light', + dark: 'dark', + }, + defaultTheme: 'light', + attributeName: 'data-theme', + }), + Story => { + return + + + } + ]; + +const preview: Preview = { + parameters: { + controls: { + matchers: { + color: /(background|color)$/i, + date: /Date$/i, + }, + }, + }, +} + +export default preview diff --git a/web/.storybook/storybook.css b/web/.storybook/storybook.css new file mode 100644 index 0000000000..85df1087a0 --- /dev/null +++ b/web/.storybook/storybook.css @@ -0,0 +1,6 @@ +html, +body { + max-width: unset; + overflow: auto; + user-select: text; +} diff --git a/web/README.md b/web/README.md index a84ef21007..ce5239e57f 100644 --- a/web/README.md +++ b/web/README.md @@ -74,6 +74,18 @@ If you want to customize the host and port: npm run start --port=3001 --host=0.0.0.0 ``` +## Storybook + +This project uses [Storybook](https://storybook.js.org/) for UI component development. + +To start the storybook server, run: + +```bash +yarn storybook +``` + +Open [http://localhost:6006](http://localhost:6006) with your browser to see the result. + ## Lint Code If your IDE is VSCode, rename `web/.vscode/settings.example.json` to `web/.vscode/settings.json` for lint code setting. diff --git a/web/app/(commonLayout)/datasets/template/template.en.mdx b/web/app/(commonLayout)/datasets/template/template.en.mdx index 99fab1ed8b..b846f6d9fb 100644 --- a/web/app/(commonLayout)/datasets/template/template.en.mdx +++ b/web/app/(commonLayout)/datasets/template/template.en.mdx @@ -1050,6 +1050,151 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from --- + + + + ### Path + + + Dataset ID + + + + ### Request Body + + + retrieval keywordc + + + retrieval keyword(Optional, if not filled, it will be recalled according to the default method) + - search_method (text) Search method: One of the following four keywords is required + - keyword_search Keyword search + - semantic_search Semantic search + - full_text_search Full-text search + - hybrid_search Hybrid search + - reranking_enable (bool) Whether to enable reranking, optional, required if the search mode is semantic_search or hybrid_search + - reranking_mode (object) Rerank model configuration, optional, required if reranking is enabled + - reranking_provider_name (string) Rerank model provider + - reranking_model_name (string) Rerank model name + - weights (double) Semantic search weight setting in hybrid search mode + - top_k (integer) Number of results to return, optional + - score_threshold_enabled (bool) Whether to enable score threshold + - score_threshold (double) Score threshold + + + Unused field + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/hit_testing' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{ + "query": "test", + "retrieval_model": { + "search_method": "keyword_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + } + }' + ``` + + + ```json {{ title: 'Response' }} + { + "query": { + "content": "test" + }, + "records": [ + { + "segment": { + "id": "7fa6f24f-8679-48b3-bc9d-bdf28d73f218", + "position": 1, + "document_id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "content": "Operation guide", + "answer": null, + "word_count": 847, + "tokens": 280, + "keywords": [ + "install", + "java", + "base", + "scripts", + "jdk", + "manual", + "internal", + "opens", + "add", + "vmoptions" + ], + "index_node_id": "39dd8443-d960-45a8-bb46-7275ad7fbc8e", + "index_node_hash": "0189157697b3c6a418ccf8264a09699f25858975578f3467c76d6bfc94df1d73", + "hit_count": 0, + "enabled": true, + "disabled_at": null, + "disabled_by": null, + "status": "completed", + "created_by": "dbcb1ab5-90c8-41a7-8b78-73b235eb6f6f", + "created_at": 1728734540, + "indexing_at": 1728734552, + "completed_at": 1728734584, + "error": null, + "stopped_at": null, + "document": { + "id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "data_source_type": "upload_file", + "name": "readme.txt", + "doc_type": null + } + }, + "score": 3.730463140527718e-05, + "tsne_position": null + } + ] + } + ``` + + + + +--- + ### Error message diff --git a/web/app/(commonLayout)/datasets/template/template.zh.mdx b/web/app/(commonLayout)/datasets/template/template.zh.mdx index 2f8c7e99dc..ece4d3b771 100644 --- a/web/app/(commonLayout)/datasets/template/template.zh.mdx +++ b/web/app/(commonLayout)/datasets/template/template.zh.mdx @@ -1049,6 +1049,152 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from +--- + + + + + ### Path + + + 知识库 ID + + + + ### Request Body + + + 召回关键词 + + + 召回参数(选填，如不填，按照默认方式召回) + - search_method (text) 检索方法：以下三个关键字之一，必填 + - keyword_search 关键字检索 + - semantic_search 语义检索 + - full_text_search 全文检索 + - hybrid_search 混合检索 + - reranking_enable (bool) 是否启用 Reranking，非必填，如果检索模式为semantic_search模式或者hybrid_search则传值 + - reranking_mode (object) Rerank模型配置，非必填，如果启用了 reranking 则传值 + - reranking_provider_name (string) Rerank 模型提供商 + - reranking_model_name (string) Rerank 模型名称 + - weights (double) 混合检索模式下语意检索的权重设置 + - top_k (integer) 返回结果数量，非必填 + - score_threshold_enabled (bool) 是否开启Score阈值 + - score_threshold (double) Score阈值 + + + 未启用字段 + + + + + + ```bash {{ title: 'cURL' }} + curl --location --request POST '${props.apiBaseUrl}/datasets/{dataset_id}/hit_testing' \ + --header 'Authorization: Bearer {api_key}' \ + --header 'Content-Type: application/json' \ + --data-raw '{ + "query": "test", + "retrieval_model": { + "search_method": "keyword_search", + "reranking_enable": false, + "reranking_mode": null, + "reranking_model": { + "reranking_provider_name": "", + "reranking_model_name": "" + }, + "weights": null, + "top_k": 2, + "score_threshold_enabled": false, + "score_threshold": null + } + }' + ``` + + + ```json {{ title: 'Response' }} + { + "query": { + "content": "test" + }, + "records": [ + { + "segment": { + "id": "7fa6f24f-8679-48b3-bc9d-bdf28d73f218", + "position": 1, + "document_id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "content": "Operation guide", + "answer": null, + "word_count": 847, + "tokens": 280, + "keywords": [ + "install", + "java", + "base", + "scripts", + "jdk", + "manual", + "internal", + "opens", + "add", + "vmoptions" + ], + "index_node_id": "39dd8443-d960-45a8-bb46-7275ad7fbc8e", + "index_node_hash": "0189157697b3c6a418ccf8264a09699f25858975578f3467c76d6bfc94df1d73", + "hit_count": 0, + "enabled": true, + "disabled_at": null, + "disabled_by": null, + "status": "completed", + "created_by": "dbcb1ab5-90c8-41a7-8b78-73b235eb6f6f", + "created_at": 1728734540, + "indexing_at": 1728734552, + "completed_at": 1728734584, + "error": null, + "stopped_at": null, + "document": { + "id": "a8c6c36f-9f5d-4d7a-8472-f5d7b75d71d2", + "data_source_type": "upload_file", + "name": "readme.txt", + "doc_type": null + } + }, + "score": 3.730463140527718e-05, + "tsne_position": null + } + ] + } + ``` + + + + + --- diff --git a/web/app/components/base/button/index.stories.tsx b/web/app/components/base/button/index.stories.tsx new file mode 100644 index 0000000000..2964275e12 --- /dev/null +++ b/web/app/components/base/button/index.stories.tsx @@ -0,0 +1,107 @@ +import type { Meta, StoryObj } from '@storybook/react' +import { fn } from '@storybook/test' + +import { RocketLaunchIcon } from '@heroicons/react/20/solid' +import { Button } from '.' + +const meta = { + title: 'Base/Button', + component: Button, + parameters: { + layout: 'centered', + }, + tags: ['autodocs'], + argTypes: { + loading: { control: 'boolean' }, + variant: { + control: 'select', + options: ['primary', 'warning', 'secondary', 'secondary-accent', 'ghost', 'ghost-accent', 'tertiary'], + }, + }, + args: { + variant: 'ghost', + onClick: fn(), + children: 'adsf', + }, +} satisfies Meta + +export default meta +type Story = StoryObj + +export const Default: Story = { + args: { + variant: 'primary', + loading: false, + children: 'Primary Button', + }, +} + +export const Secondary: Story = { + args: { + variant: 'secondary', + children: 'Secondary Button', + }, +} + +export const SecondaryAccent: Story = { + args: { + variant: 'secondary-accent', + children: 'Secondary Accent Button', + }, +} + +export const Ghost: Story = { + args: { + variant: 'ghost', + children: 'Ghost Button', + }, +} + +export const GhostAccent: Story = { + args: { + variant: 'ghost-accent', + children: 'Ghost Accent Button', + }, +} + +export const Tertiary: Story = { + args: { + variant: 'tertiary', + children: 'Tertiary Button', + }, +} + +export const Warning: Story = { + args: { + variant: 'warning', + children: 'Warning Button', + }, +} + +export const Disabled: Story = { + args: { + variant: 'primary', + disabled: true, + children: 'Disabled Button', + }, +} + +export const Loading: Story = { + args: { + variant: 'primary', + loading: true, + children: 'Loading Button', + }, +} + +export const WithIcon: Story = { + args: { + variant: 'primary', + children: ( + <> + + Launch + + ), + }, +} diff --git a/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx b/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx index 7082e67462..4178940014 100644 --- a/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx +++ b/web/app/components/base/chat/chat-with-history/header-in-mobile.tsx @@ -28,6 +28,8 @@ const HeaderInMobile = () => { className='mr-2' size='tiny' icon={appData?.site.icon} + iconType={appData?.site.icon_type} + imageUrl={appData?.site.icon_url} background={appData?.site.icon_background} />
diff --git a/web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts b/web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts new file mode 100644 index 0000000000..a7a25f5542 --- /dev/null +++ b/web/app/components/base/chat/chat/answer/__mocks__/markdownContent.ts @@ -0,0 +1,61 @@ +export const markdownContent = ` +# Heading 1 + +## Heading 2 + +### Heading 3 + +#### Heading 4 + +##### Heading 5 + +###### Heading 6 + +# Basic markdown content. + +Should support **bold**, *italic*, and ~~strikethrough~~. +Should support [links](https://www.google.com). +Should support inline \`code\` blocks. + +# Number list + +1. First item +2. Second item +3. Third item + +# Bullet list + +- First item +- Second item +- Third item + +# Link + +[Google](https://www.google.com) + +# Image + +![Alt text](https://picsum.photos/200/300) + +# Table + +| Column 1 | Column 2 | Column 3 | +| -------- | -------- | -------- | +| Cell 1 | Cell 2 | Cell 3 | +| Cell 4 | Cell 5 | Cell 6 | +| Cell 7 | Cell 8 | Cell 9 | + +# Code + +\`\`\`JavaScript +const code = "code" +\`\`\` + +# Blockquote + +> This is a blockquote. + +# Horizontal rule + +--- +` diff --git a/web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts b/web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts new file mode 100644 index 0000000000..67029cd163 --- /dev/null +++ b/web/app/components/base/chat/chat/answer/__mocks__/markdownContentSVG.ts @@ -0,0 +1,27 @@ +export const markdownContentSVG = ` +\`\`\`svg + + + + 创意Logo设计 + + + + 科研 + 科学研究 + + + 探索未知的灯塔， + 照亮人类前进的道路。 + 科研，是永不熄灭的好奇心， + 也是推动世界进步的引擎。 + + + + + + + 探索 • 创新 • 进步 + +\`\`\` +` diff --git a/web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts b/web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts new file mode 100644 index 0000000000..0c5fd3946f --- /dev/null +++ b/web/app/components/base/chat/chat/answer/__mocks__/workflowProcess.ts @@ -0,0 +1,136 @@ +import type { WorkflowProcess } from '@/app/components/base/chat/types' +import { WorkflowRunningStatus } from '@/app/components/workflow/types' + +export const mockedWorkflowProcess = { + status: WorkflowRunningStatus.Succeeded, + resultText: 'Hello, how can I assist you today?', + tracing: [ + { + extras: {}, + id: 'f6337dc9-e280-4915-965f-10b0552dd917', + node_id: '1724232060789', + node_type: 'start', + title: 'Start', + index: 1, + predecessor_node_id: null, + inputs: { + 'sys.query': 'hi', + 'sys.files': [], + 'sys.conversation_id': '92ce0a3e-8f15-43d1-b31d-32716c4b10a7', + 'sys.user_id': 'fbff43f9-d5a4-4e85-b63b-d3a91d806c6f', + 'sys.dialogue_count': 1, + 'sys.app_id': 'b2e8906a-aad3-43a0-9ace-0e44cc7315e1', + 'sys.workflow_id': '70004abe-561f-418b-b9e8-8c957ce55140', + 'sys.workflow_run_id': '69db9267-aaee-42e1-9581-dbfb67e8eeb5', + }, + process_data: null, + outputs: { + 'sys.query': 'hi', + 'sys.files': [], + 'sys.conversation_id': '92ce0a3e-8f15-43d1-b31d-32716c4b10a7', + 'sys.user_id': 'fbff43f9-d5a4-4e85-b63b-d3a91d806c6f', + 'sys.dialogue_count': 1, + 'sys.app_id': 'b2e8906a-aad3-43a0-9ace-0e44cc7315e1', + 'sys.workflow_id': '70004abe-561f-418b-b9e8-8c957ce55140', + 'sys.workflow_run_id': '69db9267-aaee-42e1-9581-dbfb67e8eeb5', + }, + status: 'succeeded', + error: null, + elapsed_time: 0.035744, + execution_metadata: null, + created_at: 1728980002, + finished_at: 1728980002, + files: [], + parallel_id: null, + parallel_start_node_id: null, + parent_parallel_id: null, + parent_parallel_start_node_id: null, + iteration_id: null, + }, + { + extras: {}, + id: '92204d8d-4198-4c46-aa02-c2754b11dec9', + node_id: 'llm', + node_type: 'llm', + title: 'LLM', + index: 2, + predecessor_node_id: '1724232060789', + inputs: null, + process_data: { + model_mode: 'chat', + prompts: [ + { + role: 'system', + text: 'hi', + files: [], + }, + { + role: 'user', + text: 'hi', + files: [], + }, + ], + model_provider: 'openai', + model_name: 'gpt-4o-mini', + }, + outputs: { + text: 'Hello! How can I assist you today?', + usage: { + prompt_tokens: 13, + prompt_unit_price: '0.15', + prompt_price_unit: '0.000001', + prompt_price: '0.0000020', + completion_tokens: 9, + completion_unit_price: '0.60', + completion_price_unit: '0.000001', + completion_price: '0.0000054', + total_tokens: 22, + total_price: '0.0000074', + currency: 'USD', + latency: 1.8902503330027685, + }, + finish_reason: 'stop', + }, + status: 'succeeded', + error: null, + elapsed_time: 5.089409, + execution_metadata: { + total_tokens: 22, + total_price: '0.0000074', + currency: 'USD', + }, + created_at: 1728980002, + finished_at: 1728980007, + files: [], + parallel_id: null, + parallel_start_node_id: null, + parent_parallel_id: null, + parent_parallel_start_node_id: null, + iteration_id: null, + }, + { + extras: {}, + id: '7149bac6-60f9-4e06-a5ed-1d9d3764c06b', + node_id: 'answer', + node_type: 'answer', + title: 'Answer', + index: 3, + predecessor_node_id: 'llm', + inputs: null, + process_data: null, + outputs: { + answer: 'Hello! How can I assist you today?', + }, + status: 'succeeded', + error: null, + elapsed_time: 0.015339, + execution_metadata: null, + created_at: 1728980007, + finished_at: 1728980007, + parallel_id: null, + parallel_start_node_id: null, + parent_parallel_id: null, + parent_parallel_start_node_id: null, + }, + ], +} as unknown as WorkflowProcess diff --git a/web/app/components/base/chat/chat/answer/index.stories.tsx b/web/app/components/base/chat/chat/answer/index.stories.tsx new file mode 100644 index 0000000000..18bc129994 --- /dev/null +++ b/web/app/components/base/chat/chat/answer/index.stories.tsx @@ -0,0 +1,96 @@ +import type { Meta, StoryObj } from '@storybook/react' + +import type { ChatItem } from '../../types' +import { mockedWorkflowProcess } from './__mocks__/workflowProcess' +import { markdownContent } from './__mocks__/markdownContent' +import { markdownContentSVG } from './__mocks__/markdownContentSVG' +import Answer from '.' + +const meta = { + title: 'Base/Chat Answer', + component: Answer, + parameters: { + layout: 'fullscreen', + }, + tags: ['autodocs'], + argTypes: { + noChatInput: { control: 'boolean', description: 'If set to true, some buttons that are supposed to be shown on hover will not be displayed.' }, + responding: { control: 'boolean', description: 'Indicates if the answer is being generated.' }, + showPromptLog: { control: 'boolean', description: 'If set to true, the prompt log button will be shown on hover.' }, + }, + args: { + noChatInput: false, + responding: false, + showPromptLog: false, + }, +} satisfies Meta + +export default meta +type Story = StoryObj + +const mockedBaseChatItem = { + id: '1', + isAnswer: true, + content: 'Hello, how can I assist you today?', +} satisfies ChatItem + +export const Basic: Story = { + args: { + item: mockedBaseChatItem, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} + +export const WithWorkflowProcess: Story = { + args: { + item: { + ...mockedBaseChatItem, + workflowProcess: mockedWorkflowProcess, + }, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} + +export const WithMarkdownContent: Story = { + args: { + item: { + ...mockedBaseChatItem, + content: markdownContent, + }, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} + +export const WithMarkdownSVG: Story = { + args: { + item: { + ...mockedBaseChatItem, + content: markdownContentSVG, + }, + question: mockedBaseChatItem.content, + index: 0, + }, + render: (args) => { + return
+ +
+ }, +} diff --git a/web/app/components/base/chat/chat/question.stories.tsx b/web/app/components/base/chat/chat/question.stories.tsx new file mode 100644 index 0000000000..450e88d0ef --- /dev/null +++ b/web/app/components/base/chat/chat/question.stories.tsx @@ -0,0 +1,33 @@ +import type { Meta, StoryObj } from '@storybook/react' + +import type { ChatItem } from '../types' +import Question from './question' +import { User } from '@/app/components/base/icons/src/public/avatar' + +const meta = { + title: 'Base/Chat Question', + component: Question, + parameters: { + layout: 'centered', + }, + tags: ['autodocs'], + argTypes: {}, + args: {}, +} satisfies Meta + +export default meta +type Story = StoryObj + +export const Default: Story = { + args: { + item: { + id: '1', + isAnswer: false, + content: 'You are a helpful assistant.', + } satisfies ChatItem, + theme: undefined, + questionIcon:
+ +
, + }, +} diff --git a/web/app/components/base/popover/index.tsx b/web/app/components/base/popover/index.tsx index 141ac8ff70..1e7ba76269 100644 --- a/web/app/components/base/popover/index.tsx +++ b/web/app/components/base/popover/index.tsx @@ -17,6 +17,7 @@ type IPopover = { btnElement?: string | React.ReactNode btnClassName?: string | ((open: boolean) => string) manualClose?: boolean + disabled?: boolean } const timeoutDuration = 100 @@ -30,6 +31,7 @@ export default function CustomPopover({ className, btnClassName, manualClose, + disabled = false, }: IPopover) { const buttonRef = useRef(null) const timeOutRef = useRef(null) @@ -60,6 +62,7 @@ export default function CustomPopover({ > ( (datasetId && documentDetail) ? documentDetail.doc_form : DocForm.TEXT, ) @@ -200,9 +201,9 @@ const StepTwo = ({ } } - const fetchFileIndexingEstimate = async (docForm = DocForm.TEXT) => { + const fetchFileIndexingEstimate = async (docForm = DocForm.TEXT, language?: string) => { // eslint-disable-next-line @typescript-eslint/no-use-before-define - const res = await didFetchFileIndexingEstimate(getFileIndexingEstimateParams(docForm)!) + const res = await didFetchFileIndexingEstimate(getFileIndexingEstimateParams(docForm, language)!) if (segmentationType === SegmentType.CUSTOM) setCustomFileIndexingEstimate(res) else @@ -270,7 +271,7 @@ const StepTwo = ({ } } - const getFileIndexingEstimateParams = (docForm: DocForm): IndexingEstimateParams | undefined => { + const getFileIndexingEstimateParams = (docForm: DocForm, language?: string): IndexingEstimateParams | undefined => { if (dataSourceType === DataSourceType.FILE) { return { info_list: { @@ -282,7 +283,7 @@ const StepTwo = ({ indexing_technique: getIndexing_technique() as string, process_rule: getProcessRule(), doc_form: docForm, - doc_language: docLanguage, + doc_language: language || docLanguage, dataset_id: datasetId as string, } } @@ -295,7 +296,7 @@ const StepTwo = ({ indexing_technique: getIndexing_technique() as string, process_rule: getProcessRule(), doc_form: docForm, - doc_language: docLanguage, + doc_language: language || docLanguage, dataset_id: datasetId as string, } } @@ -308,7 +309,7 @@ const StepTwo = ({ indexing_technique: getIndexing_technique() as string, process_rule: getProcessRule(), doc_form: docForm, - doc_language: docLanguage, + doc_language: language || docLanguage, dataset_id: datasetId as string, } } @@ -483,8 +484,26 @@ const StepTwo = ({ setDocForm(DocForm.TEXT) } + const previewSwitch = async (language?: string) => { + setPreviewSwitched(true) + setIsLanguageSelectDisabled(true) + if (segmentationType === SegmentType.AUTO) + setAutomaticFileIndexingEstimate(null) + else + setCustomFileIndexingEstimate(null) + try { + await fetchFileIndexingEstimate(DocForm.QA, language) + } + finally { + setIsLanguageSelectDisabled(false) + } + } + const handleSelect = (language: string) => { setDocLanguage(language) + // Switch language, re-cutter + if (docForm === DocForm.QA && previewSwitched) + previewSwitch(language) } const changeToEconomicalType = () => { @@ -494,15 +513,6 @@ const StepTwo = ({ } } - const previewSwitch = async () => { - setPreviewSwitched(true) - if (segmentationType === SegmentType.AUTO) - setAutomaticFileIndexingEstimate(null) - else - setCustomFileIndexingEstimate(null) - await fetchFileIndexingEstimate(DocForm.QA) - } - useEffect(() => { // fetch rules if (!isSetting) { @@ -575,7 +585,7 @@ const StepTwo = ({
{t('datasetCreation.steps.two')} - {isMobile && ( + {(isMobile || !showPreview) && (
{t('datasetCreation.stepTwo.QALanguage')} - +
@@ -948,7 +958,7 @@ const StepTwo = ({
{t('datasetCreation.stepTwo.previewTitle')}
{docForm === DocForm.QA && !previewSwitched && ( - + )}
diff --git a/web/app/components/datasets/create/step-two/language-select/index.tsx b/web/app/components/datasets/create/step-two/language-select/index.tsx index f8709c89f3..fab2bb1c71 100644 --- a/web/app/components/datasets/create/step-two/language-select/index.tsx +++ b/web/app/components/datasets/create/step-two/language-select/index.tsx @@ -9,16 +9,19 @@ import { languages } from '@/i18n/language' export type ILanguageSelectProps = { currentLanguage: string onSelect: (language: string) => void + disabled?: boolean } const LanguageSelect: FC = ({ currentLanguage, onSelect, + disabled, }) => { return ( {languages.filter(language => language.supported).map(({ prompt_name, name }) => ( diff --git a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx index 3ac85e135b..fb1b22df34 100644 --- a/web/app/components/header/account-setting/api-based-extension-page/selector.tsx +++ b/web/app/components/header/account-setting/api-based-extension-page/selector.tsx @@ -81,7 +81,10 @@ const ApiBasedExtensionSelector: FC = ({
setShowAccountSettingModal({ payload: 'api-based-extension' })} + onClick={() => { + setOpen(false) + setShowAccountSettingModal({ payload: 'api-based-extension' }) + }} > {t('common.apiBasedExtension.selector.manage')} @@ -106,7 +109,10 @@ const ApiBasedExtensionSelector: FC = ({
setShowApiBasedExtensionModal({ payload: {}, onSaveCallback: () => mutate() })} + onClick={() => { + setOpen(false) + setShowApiBasedExtensionModal({ payload: {}, onSaveCallback: () => mutate() }) + }} > {t('common.operation.add')} diff --git a/web/app/components/swr-initor.tsx b/web/app/components/swr-initor.tsx index 85e05499e6..ce126512fa 100644 --- a/web/app/components/swr-initor.tsx +++ b/web/app/components/swr-initor.tsx @@ -14,12 +14,12 @@ const SwrInitor = ({ }: SwrInitorProps) => { const router = useRouter() const searchParams = useSearchParams() + const { getNewAccessToken } = useRefreshToken() const consoleToken = searchParams.get('access_token') const refreshToken = searchParams.get('refresh_token') const consoleTokenFromLocalStorage = localStorage?.getItem('console_token') const refreshTokenFromLocalStorage = localStorage?.getItem('refresh_token') const [init, setInit] = useState(false) - const { getNewAccessToken } = useRefreshToken() useEffect(() => { if (!(consoleToken || refreshToken || consoleTokenFromLocalStorage || refreshTokenFromLocalStorage)) { @@ -27,12 +27,12 @@ const SwrInitor = ({ return } if (consoleTokenFromLocalStorage && refreshTokenFromLocalStorage) - getNewAccessToken(consoleTokenFromLocalStorage, refreshTokenFromLocalStorage) + getNewAccessToken() if (consoleToken && refreshToken) { localStorage.setItem('console_token', consoleToken) localStorage.setItem('refresh_token', refreshToken) - getNewAccessToken(consoleToken, refreshToken).then(() => { + getNewAccessToken().then(() => { router.replace('/apps', { forceOptimisticNavigation: false } as any) }).catch(() => { router.replace('/signin') diff --git a/web/app/signin/normalForm.tsx b/web/app/signin/normalForm.tsx index 0ae4eb1f43..113ed64b57 100644 --- a/web/app/signin/normalForm.tsx +++ b/web/app/signin/normalForm.tsx @@ -99,7 +99,7 @@ const NormalForm = () => { if (res.result === 'success') { localStorage.setItem('console_token', res.data.access_token) localStorage.setItem('refresh_token', res.data.refresh_token) - getNewAccessToken(res.data.access_token, res.data.refresh_token) + getNewAccessToken() router.replace('/apps') } else { diff --git a/web/app/signin/userSSOForm.tsx b/web/app/signin/userSSOForm.tsx index e4b61413bc..f01afa9eaf 100644 --- a/web/app/signin/userSSOForm.tsx +++ b/web/app/signin/userSSOForm.tsx @@ -31,7 +31,7 @@ const UserSSOForm: FC = ({ if (refreshToken && consoleToken) { localStorage.setItem('console_token', consoleToken) localStorage.setItem('refresh_token', refreshToken) - getNewAccessToken(consoleToken, refreshToken) + getNewAccessToken() router.replace('/apps') } diff --git a/web/hooks/use-refresh-token.ts b/web/hooks/use-refresh-token.ts index 3d8779636f..293f3159de 100644 --- a/web/hooks/use-refresh-token.ts +++ b/web/hooks/use-refresh-token.ts @@ -14,7 +14,6 @@ const useRefreshToken = () => { const router = useRouter() const timer = useRef() const advanceTime = useRef(5 * 60 * 1000) - const interval = useRef(55 * 60 * 1000) const getExpireTime = useCallback((token: string) => { if (!token) @@ -31,18 +30,24 @@ const useRefreshToken = () => { localStorage?.removeItem('is_refreshing') localStorage?.removeItem('console_token') localStorage?.removeItem('refresh_token') - localStorage?.removeItem('last_refresh_time') router.replace('/signin') }, []) - const getNewAccessToken = useCallback(async (currentAccessToken: string, currentRefreshToken: string) => { - if (localStorage?.getItem('is_refreshing') === '1') + const getNewAccessToken = useCallback(async () => { + const currentAccessToken = localStorage?.getItem('console_token') + const currentRefreshToken = localStorage?.getItem('refresh_token') + if (!currentAccessToken || !currentRefreshToken) { + handleError() + return new Error('No access token or refresh token found') + } + if (localStorage?.getItem('is_refreshing') === '1') { + timer.current = setTimeout(() => { + getNewAccessToken() + }, 1000) return null + } const currentTokenExpireTime = getExpireTime(currentAccessToken) - let lastRefreshTime = parseInt(localStorage?.getItem('last_refresh_time') || '0') - lastRefreshTime = isNaN(lastRefreshTime) ? 0 : lastRefreshTime - if (getCurrentTimeStamp() + advanceTime.current > currentTokenExpireTime - && lastRefreshTime + interval.current < getCurrentTimeStamp()) { + if (getCurrentTimeStamp() + advanceTime.current > currentTokenExpireTime) { localStorage?.setItem('is_refreshing', '1') const [e, res] = await fetchWithRetry(fetchNewToken({ body: { refresh_token: currentRefreshToken }, @@ -53,24 +58,17 @@ const useRefreshToken = () => { } const { access_token, refresh_token } = res.data localStorage?.setItem('is_refreshing', '0') - localStorage?.setItem('last_refresh_time', getCurrentTimeStamp().toString()) localStorage?.setItem('console_token', access_token) localStorage?.setItem('refresh_token', refresh_token) const newTokenExpireTime = getExpireTime(access_token) timer.current = setTimeout(() => { - const consoleTokenFromLocalStorage = localStorage?.getItem('console_token') - const refreshTokenFromLocalStorage = localStorage?.getItem('refresh_token') - if (consoleTokenFromLocalStorage && refreshTokenFromLocalStorage) - getNewAccessToken(consoleTokenFromLocalStorage, refreshTokenFromLocalStorage) + getNewAccessToken() }, newTokenExpireTime - advanceTime.current - getCurrentTimeStamp()) } else { const newTokenExpireTime = getExpireTime(currentAccessToken) timer.current = setTimeout(() => { - const consoleTokenFromLocalStorage = localStorage?.getItem('console_token') - const refreshTokenFromLocalStorage = localStorage?.getItem('refresh_token') - if (consoleTokenFromLocalStorage && refreshTokenFromLocalStorage) - getNewAccessToken(consoleTokenFromLocalStorage, refreshTokenFromLocalStorage) + getNewAccessToken() }, newTokenExpireTime - advanceTime.current - getCurrentTimeStamp()) } return null @@ -80,7 +78,6 @@ const useRefreshToken = () => { return () => { clearTimeout(timer.current) localStorage?.removeItem('is_refreshing') - localStorage?.removeItem('last_refresh_time') } }, []) diff --git a/web/package.json b/web/package.json index 8a17997fe9..7c0977a44a 100644 --- a/web/package.json +++ b/web/package.json @@ -1,6 +1,6 @@ { "name": "dify-web", - "version": "0.9.1", + "version": "0.9.2", "private": true, "engines": { "node": ">=18.17.0" @@ -18,7 +18,9 @@ "check-i18n": "node ./i18n/check-i18n.js", "auto-gen-i18n": "node ./i18n/auto-gen-i18n.js", "test": "jest", - "test:watch": "jest --watch" + "test:watch": "jest --watch", + "storybook": "storybook dev -p 6006", + "build-storybook": "storybook build" }, "dependencies": { "@babel/runtime": "^7.22.3", @@ -106,8 +108,18 @@ }, "devDependencies": { "@antfu/eslint-config": "^0.36.0", + "@chromatic-com/storybook": "^1.9.0", "@faker-js/faker": "^7.6.0", "@rgrove/parse-xml": "^4.1.0", + "@storybook/addon-essentials": "^8.3.5", + "@storybook/addon-interactions": "^8.3.5", + "@storybook/addon-links": "^8.3.5", + 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