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fix: Azure OpenAI o1 max_completion_token and get_num_token_from_messages error (#9326)
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Co-authored-by: wwwc <wwwc@outlook.com>
This commit is contained in:
Warren Wong 2024-10-15 16:26:44 +08:00 committed by GitHub
parent fb32e5ca9a
commit b597a0d31c
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GPG Key ID: B5690EEEBB952194
9 changed files with 638 additions and 381 deletions
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16
api/core/model_runtime/model_providers/azure_openai/_constant.py
View File

@ -1098,6 +1098,14 @@ LLM_BASE_MODELS = [
ModelPropertyKey.CONTEXT_SIZE: 128000, ModelPropertyKey.CONTEXT_SIZE: 128000,
}, },
parameter_rules=[ parameter_rules=[
ParameterRule(
name="temperature",
**PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
),
ParameterRule(
name="top_p",
**PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
),
ParameterRule( ParameterRule(
name="response_format", name="response_format",
label=I18nObject(zh_Hans="回复格式", en_US="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, ModelPropertyKey.CONTEXT_SIZE: 128000,
}, },
parameter_rules=[ parameter_rules=[
ParameterRule(
name="temperature",
**PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
),
ParameterRule(
name="top_p",
**PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
),
ParameterRule( ParameterRule(
name="response_format", name="response_format",
label=I18nObject(zh_Hans="回复格式", en_US="response_format"), label=I18nObject(zh_Hans="回复格式", en_US="response_format"),

10
api/core/model_runtime/model_providers/azure_openai/llm/llm.py
View File

@ -119,7 +119,15 @@ class AzureOpenAILargeLanguageModel(_CommonAzureOpenAI, LargeLanguageModel):
try: try:
client = AzureOpenAI(**self._to_credential_kwargs(credentials)) 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 # chat model
client.chat.completions.create( client.chat.completions.create(
messages=[{"role": "user", "content": "ping"}], messages=[{"role": "user", "content": "ping"}],

685
api/poetry.lock generated
View File

@ -455,13 +455,13 @@ vertex = ["google-auth (>=2,<3)"]
[[package]] [[package]]
name = "anyio" name = "anyio"
version = "4.6.0" version = "4.6.2.post1"
description = "High level compatibility layer for multiple asynchronous event loop implementations" description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false optional = false
python-versions = ">=3.9" python-versions = ">=3.9"
files = [ files = [
{file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"}, {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
{file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"}, {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
] ]
[package.dependencies] [package.dependencies]
@ -472,7 +472,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras] [package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"] test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.26.1)"] trio = ["trio (>=0.26.1)"]
[[package]] [[package]]
@ -844,13 +844,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]] [[package]]
name = "botocore" name = "botocore"
version = "1.35.38" version = "1.35.40"
description = "Low-level, data-driven core of boto 3." description = "Low-level, data-driven core of boto 3."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "botocore-1.35.38-py3-none-any.whl", hash = "sha256:2eb17d32fa2d3bb5d475132a83564d28e3acc2161534f24b75a54418a1d51359"}, {file = "botocore-1.35.40-py3-none-any.whl", hash = "sha256:072cc47f29cb1de4fa77ce6632e4f0480af29b70816973ff415fbaa3f50bd1db"},
{file = "botocore-1.35.38.tar.gz", hash = "sha256:55d9305c44e5ba29476df456120fa4fb919f03f066afa82f2ae400485e7465f4"}, {file = "botocore-1.35.40.tar.gz", hash = "sha256:547e0a983856c7d7aeaa30fca2a283873c57c07366cd806d2d639856341b3c31"},
] ]
[package.dependencies] [package.dependencies]
@ -863,53 +863,47 @@ crt = ["awscrt (==0.22.0)"]
[[package]] [[package]]
name = "bottleneck" name = "bottleneck"
version = "1.4.0" version = "1.4.1"
description = "Fast NumPy array functions written in C" description = "Fast NumPy array functions written in C"
optional = false optional = false
python-versions = "*" python-versions = "*"
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@ -2159,63 +2153,63 @@ typing_extensions = ">=4.0,<5.0"
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] ]
[package.extras] [package.extras]
dev = ["Cython (>=3.0,<4.0)", "setuptools (>=60)"]
docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"] docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"] test = ["aiohttp (>=3.10.5)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"]
[[package]] [[package]]
name = "validators" name = "validators"
@ -10697,4 +10784,4 @@ cffi = ["cffi (>=1.11)"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10,<3.13" python-versions = ">=3.10,<3.13"
content-hash = "75a7e7eab36b9386c11a3e9808da28102ad20a43a0e8ae08c37594ecf50da02b" content-hash = "51f048197baebf9ffdc393e5990b9a90185bc5ff515b8b5d2d9b72de900cf6e2"

15
api/pyproject.toml
View File

@ -86,10 +86,19 @@ ignore = [
] ]
"tests/*" = [ "tests/*" = [
"F811", # redefined-while-unused "F811", # redefined-while-unused
"F401", # unused-import
"PT001", # missing-function-docstring
"PT004", # missing-parameter-docstring
]
"core/rag/extractor/word_extractor.py" = [
"RUF100", # Unused `noqa` directive
]
"core/tools/provider/builtin/gitlab/tools/gitlab_commits.py" = [
"PLR1714", # Consider merging multiple comparisons
] ]
[tool.ruff.lint.pyflakes] [tool.ruff.lint.pyflakes]
allowed-unused-imports=[ extend-generics=[
"_pytest.monkeypatch", "_pytest.monkeypatch",
"tests.integration_tests", "tests.integration_tests",
] ]
@ -149,7 +158,7 @@ nomic = "~3.1.2"
novita-client = "~0.5.7" novita-client = "~0.5.7"
numpy = "~1.26.4" numpy = "~1.26.4"
oci = "~2.135.1" oci = "~2.135.1"
openai = "~1.29.0" openai = "~1.51.2"
openpyxl = "~3.1.5" openpyxl = "~3.1.5"
pandas = { version = "~2.2.2", extras = ["performance", "excel"] } pandas = { version = "~2.2.2", extras = ["performance", "excel"] }
psycopg2-binary = "~2.9.6" psycopg2-binary = "~2.9.6"
@ -172,7 +181,7 @@ scikit-learn = "~1.5.1"
sentry-sdk = { version = "~1.44.1", extras = ["flask"] } sentry-sdk = { version = "~1.44.1", extras = ["flask"] }
sqlalchemy = "~2.0.29" sqlalchemy = "~2.0.29"
tencentcloud-sdk-python-hunyuan = "~3.0.1158" tencentcloud-sdk-python-hunyuan = "~3.0.1158"
tiktoken = "~0.7.0" tiktoken = "~0.8.0"
tokenizers = "~0.15.0" tokenizers = "~0.15.0"
transformers = "~4.35.0" transformers = "~4.35.0"
unstructured = { version = "~0.10.27", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] } unstructured = { version = "~0.10.27", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] }

41
api/tests/integration_tests/model_runtime/__mock/openai_moderation.py
View File

@ -41,6 +41,8 @@ class MockModerationClass:
"sexual/minors": False, "sexual/minors": False,
"violence": False, "violence": False,
"violence/graphic": False, "violence/graphic": False,
"illicit": False,
"illicit/violent": False,
} }
moderation_categories_scores = { moderation_categories_scores = {
"harassment": 1.0, "harassment": 1.0,
@ -54,13 +56,30 @@ class MockModerationClass:
"sexual/minors": 1.0, "sexual/minors": 1.0,
"violence": 1.0, "violence": 1.0,
"violence/graphic": 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( result.append(
Moderation( Moderation(
flagged=True, flagged=True,
categories=Categories(**moderation_categories), categories=Categories(**moderation_categories),
category_scores=CategoryScores(**moderation_categories_scores), category_scores=CategoryScores(**moderation_categories_scores),
category_applied_input_types=category_applied_input_types,
) )
) )
else: else:
@ -76,6 +95,8 @@ class MockModerationClass:
"sexual/minors": False, "sexual/minors": False,
"violence": False, "violence": False,
"violence/graphic": False, "violence/graphic": False,
"illicit": False,
"illicit/violent": False,
} }
moderation_categories_scores = { moderation_categories_scores = {
"harassment": 0.0, "harassment": 0.0,
@ -89,12 +110,30 @@ class MockModerationClass:
"sexual/minors": 0.0, "sexual/minors": 0.0,
"violence": 0.0, "violence": 0.0,
"violence/graphic": 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( result.append(
Moderation( Moderation(
flagged=False, flagged=False,
categories=Categories(**moderation_categories), categories=Categories(**moderation_categories),
category_scores=CategoryScores(**moderation_categories_scores), category_scores=CategoryScores(**moderation_categories_scores),
category_applied_input_types=category_applied_input_types,
) )
) )

128
sdks/python-client/dify_client/client.py
View File

@ -9,10 +9,15 @@ class DifyClient:
self.base_url = base_url self.base_url = base_url
def _send_request(self, method, endpoint, json=None, params=None, stream=False): 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}" 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 return response
@ -20,7 +25,9 @@ class DifyClient:
headers = {"Authorization": f"Bearer {self.api_key}"} headers = {"Authorization": f"Bearer {self.api_key}"}
url = f"{self.base_url}{endpoint}" 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 return response
@ -34,7 +41,9 @@ class DifyClient:
def file_upload(self, user, files): def file_upload(self, user, files):
data = {"user": user} 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): def text_to_audio(self, text: str, user: str, streaming: bool = False):
data = {"text": text, "user": user, "streaming": streaming} data = {"text": text, "user": user, "streaming": streaming}
@ -47,25 +56,52 @@ class DifyClient:
class CompletionClient(DifyClient): class CompletionClient(DifyClient):
def create_completion_message(self, inputs, response_mode, user, files=None): 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( 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): class ChatClient(DifyClient):
def create_chat_message(self, inputs, query, user, response_mode="blocking", conversation_id=None, files=None): def create_chat_message(
data = {"inputs": inputs, "query": query, "user": user, "response_mode": response_mode, "files": files} 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: if conversation_id:
data["conversation_id"] = conversation_id data["conversation_id"] = conversation_id
return self._send_request( 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): def get_suggested(self, message_id, user: str):
params = {"user": user} 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): def stop_message(self, task_id, user):
data = {"user": user} data = {"user": user}
@ -75,7 +111,9 @@ class ChatClient(DifyClient):
params = {"user": user, "last_id": last_id, "limit": limit, "pinned": pinned} params = {"user": user, "last_id": last_id, "limit": limit, "pinned": pinned}
return self._send_request("GET", "/conversations", params=params) 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} params = {"user": user}
if conversation_id: if conversation_id:
@ -87,9 +125,13 @@ class ChatClient(DifyClient):
return self._send_request("GET", "/messages", params=params) 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} 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): def delete_conversation(self, conversation_id, user):
data = {"user": user} data = {"user": user}
@ -102,7 +144,9 @@ class ChatClient(DifyClient):
class WorkflowClient(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} data = {"inputs": inputs, "response_mode": response_mode, "user": user}
return self._send_request("POST", "/workflows/run", data) return self._send_request("POST", "/workflows/run", data)
@ -115,7 +159,9 @@ class WorkflowClient(DifyClient):
class KnowledgeBaseClient(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. Construct a KnowledgeBaseClient object.
@ -137,7 +183,9 @@ class KnowledgeBaseClient(DifyClient):
return self._send_request("POST", "/datasets", {"name": name}, **kwargs) return self._send_request("POST", "/datasets", {"name": name}, **kwargs)
def list_datasets(self, page: int = 1, page_size: int = 20, **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): 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 :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): if extra_params is not None and isinstance(extra_params, dict):
data.update(extra_params) data.update(extra_params)
url = f"/datasets/{self._get_dataset_id()}/document/create_by_text" url = f"/datasets/{self._get_dataset_id()}/document/create_by_text"
return self._send_request("POST", url, json=data, **kwargs) 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. Update a document by text.
@ -201,10 +256,14 @@ class KnowledgeBaseClient(DifyClient):
data = {"name": name, "text": text} data = {"name": name, "text": text}
if extra_params is not None and isinstance(extra_params, dict): if extra_params is not None and isinstance(extra_params, dict):
data.update(extra_params) 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) 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. Create a document by file.
@ -231,15 +290,22 @@ class KnowledgeBaseClient(DifyClient):
:return: Response from the API :return: Response from the API
""" """
files = {"file": open(file_path, "rb")} 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): if extra_params is not None and isinstance(extra_params, dict):
data.update(extra_params) data.update(extra_params)
if original_document_id is not None: if original_document_id is not None:
data["original_document_id"] = original_document_id data["original_document_id"] = original_document_id
url = f"/datasets/{self._get_dataset_id()}/document/create_by_file" 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. Update a document by file.
@ -269,8 +335,12 @@ class KnowledgeBaseClient(DifyClient):
data = {} data = {}
if extra_params is not None and isinstance(extra_params, dict): if extra_params is not None and isinstance(extra_params, dict):
data.update(extra_params) data.update(extra_params)
url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file" url = (
return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files) 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): 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}" url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}"
return self._send_request("DELETE", url) 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. 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" url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments"
return self._send_request("POST", url, json=data, **kwargs) 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. Query segments in this document.

10
sdks/python-client/setup.py
View File

@ -12,17 +12,15 @@ setup(
long_description=long_description, long_description=long_description,
long_description_content_type="text/markdown", long_description_content_type="text/markdown",
url="https://github.com/langgenius/dify", url="https://github.com/langgenius/dify",
license='MIT', license="MIT",
packages=['dify_client'], packages=["dify_client"],
classifiers=[ classifiers=[
"Programming Language :: Python :: 3", "Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License", "License :: OSI Approved :: MIT License",
"Operating System :: OS Independent", "Operating System :: OS Independent",
], ],
python_requires=">=3.6", python_requires=">=3.6",
install_requires=[ install_requires=["requests"],
"requests" keywords="dify nlp ai language-processing",
],
keywords='dify nlp ai language-processing',
include_package_data=True, include_package_data=True,
) )

112
sdks/python-client/tests/test_client.py
View File

@ -2,7 +2,12 @@ import os
import time import time
import unittest 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") API_KEY = os.environ.get("API_KEY")
APP_ID = os.environ.get("APP_ID") APP_ID = os.environ.get("APP_ID")
@ -13,7 +18,9 @@ FILE_PATH_BASE = os.path.dirname(__file__)
class TestKnowledgeBaseClient(unittest.TestCase): class TestKnowledgeBaseClient(unittest.TestCase):
def setUp(self): def setUp(self):
self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL) 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.dataset_id = None
self.document_id = None self.document_id = None
self.segment_id = None self.segment_id = None
@ -21,7 +28,9 @@ class TestKnowledgeBaseClient(unittest.TestCase):
def _get_dataset_kb_client(self): def _get_dataset_kb_client(self):
self.assertIsNotNone(self.dataset_id) 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): def test_001_create_dataset(self):
response = self.knowledge_base_client.create_dataset(name="test_dataset") 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): def _test_004_update_document_by_text(self):
client = self._get_dataset_kb_client() client = self._get_dataset_kb_client()
self.assertIsNotNone(self.document_id) 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() data = response.json()
self.assertIn("document", data) self.assertIn("document", data)
self.assertIn("batch", data) self.assertIn("batch", data)
@ -82,7 +93,9 @@ class TestKnowledgeBaseClient(unittest.TestCase):
def _test_006_update_document_by_file(self): def _test_006_update_document_by_file(self):
client = self._get_dataset_kb_client() client = self._get_dataset_kb_client()
self.assertIsNotNone(self.document_id) 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() data = response.json()
self.assertIn("document", data) self.assertIn("document", data)
self.assertIn("batch", data) self.assertIn("batch", data)
@ -112,9 +125,9 @@ class TestKnowledgeBaseClient(unittest.TestCase):
def _test_010_add_segments(self): def _test_010_add_segments(self):
client = self._get_dataset_kb_client() client = self._get_dataset_kb_client()
response = client.add_segments(self.document_id, [ response = client.add_segments(
{"content": "test text segment 1"} self.document_id, [{"content": "test text segment 1"}]
]) )
data = response.json() data = response.json()
self.assertIn("data", data) self.assertIn("data", data)
self.assertGreater(len(data["data"]), 0) self.assertGreater(len(data["data"]), 0)
@ -131,9 +144,11 @@ class TestKnowledgeBaseClient(unittest.TestCase):
def _test_012_update_document_segment(self): def _test_012_update_document_segment(self):
client = self._get_dataset_kb_client() client = self._get_dataset_kb_client()
self.assertIsNotNone(self.segment_id) self.assertIsNotNone(self.segment_id)
response = client.update_document_segment(self.document_id, self.segment_id, response = client.update_document_segment(
{"content": "test text segment 1 updated"} self.document_id,
) self.segment_id,
{"content": "test text segment 1 updated"},
)
data = response.json() data = response.json()
self.assertIn("data", data) self.assertIn("data", data)
self.assertGreater(len(data["data"]), 0) self.assertGreater(len(data["data"]), 0)
@ -159,29 +174,37 @@ class TestChatClient(unittest.TestCase):
self.chat_client = ChatClient(API_KEY) self.chat_client = ChatClient(API_KEY)
def test_create_chat_message(self): 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) self.assertIn("answer", response.text)
def test_create_chat_message_with_vision_model_by_remote_url(self): def test_create_chat_message_with_vision_model_by_remote_url(self):
files = [{ files = [
"type": "image", {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"}
"transfer_method": "remote_url", ]
"url": "your_image_url" response = self.chat_client.create_chat_message(
}] {}, "Describe the picture.", "test_user", files=files
response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files) )
self.assertIn("answer", response.text) self.assertIn("answer", response.text)
def test_create_chat_message_with_vision_model_by_local_file(self): def test_create_chat_message_with_vision_model_by_local_file(self):
files = [{ files = [
"type": "image", {
"transfer_method": "local_file", "type": "image",
"upload_file_id": "your_file_id" "transfer_method": "local_file",
}] "upload_file_id": "your_file_id",
response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files) }
]
response = self.chat_client.create_chat_message(
{}, "Describe the picture.", "test_user", files=files
)
self.assertIn("answer", response.text) self.assertIn("answer", response.text)
def test_get_conversation_messages(self): 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) self.assertIn("answer", response.text)
def test_get_conversations(self): def test_get_conversations(self):
@ -194,28 +217,31 @@ class TestCompletionClient(unittest.TestCase):
self.completion_client = CompletionClient(API_KEY) self.completion_client = CompletionClient(API_KEY)
def test_create_completion_message(self): def test_create_completion_message(self):
response = self.completion_client.create_completion_message({"query": "What's the weather like today?"}, response = self.completion_client.create_completion_message(
"blocking", "test_user") {"query": "What's the weather like today?"}, "blocking", "test_user"
)
self.assertIn("answer", response.text) self.assertIn("answer", response.text)
def test_create_completion_message_with_vision_model_by_remote_url(self): def test_create_completion_message_with_vision_model_by_remote_url(self):
files = [{ files = [
"type": "image", {"type": "image", "transfer_method": "remote_url", "url": "your_image_url"}
"transfer_method": "remote_url", ]
"url": "your_image_url"
}]
response = self.completion_client.create_completion_message( 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) self.assertIn("answer", response.text)
def test_create_completion_message_with_vision_model_by_local_file(self): def test_create_completion_message_with_vision_model_by_local_file(self):
files = [{ files = [
"type": "image", {
"transfer_method": "local_file", "type": "image",
"upload_file_id": "your_file_id" "transfer_method": "local_file",
}] "upload_file_id": "your_file_id",
}
]
response = self.completion_client.create_completion_message( 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) self.assertIn("answer", response.text)
@ -224,7 +250,9 @@ class TestDifyClient(unittest.TestCase):
self.dify_client = DifyClient(API_KEY) self.dify_client = DifyClient(API_KEY)
def test_message_feedback(self): 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) self.assertIn("success", response.text)
def test_get_application_parameters(self): def test_get_application_parameters(self):
@ -237,9 +265,7 @@ class TestDifyClient(unittest.TestCase):
mime_type = "image/jpeg" mime_type = "image/jpeg"
with open(file_path, "rb") as file: with open(file_path, "rb") as file:
files = { files = {"file": (file_name, file, mime_type)}
"file": (file_name, file, mime_type)
}
response = self.dify_client.file_upload("test_user", files) response = self.dify_client.file_upload("test_user", files)
self.assertIn("name", response.text) self.assertIn("name", response.text)