mirror of
https://github.com/langgenius/dify.git
synced 2024-11-16 11:42:29 +08:00
106 lines
4.3 KiB
Python
106 lines
4.3 KiB
Python
import datetime
|
|
import logging
|
|
import time
|
|
|
|
import click
|
|
from celery import shared_task
|
|
from core.index.index import IndexBuilder
|
|
from extensions.ext_database import db
|
|
from extensions.ext_redis import redis_client
|
|
from langchain.schema import Document
|
|
from models.dataset import Dataset
|
|
from models.model import App, AppAnnotationSetting, MessageAnnotation
|
|
from services.dataset_service import DatasetCollectionBindingService
|
|
from werkzeug.exceptions import NotFound
|
|
|
|
|
|
@shared_task(queue='dataset')
|
|
def enable_annotation_reply_task(job_id: str, app_id: str, user_id: str, tenant_id: str, score_threshold: float,
|
|
embedding_provider_name: str, embedding_model_name: str):
|
|
"""
|
|
Async enable annotation reply task
|
|
"""
|
|
logging.info(click.style('Start add app annotation to index: {}'.format(app_id), fg='green'))
|
|
start_at = time.perf_counter()
|
|
# get app info
|
|
app = db.session.query(App).filter(
|
|
App.id == app_id,
|
|
App.tenant_id == tenant_id,
|
|
App.status == 'normal'
|
|
).first()
|
|
|
|
if not app:
|
|
raise NotFound("App not found")
|
|
|
|
annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app_id).all()
|
|
enable_app_annotation_key = 'enable_app_annotation_{}'.format(str(app_id))
|
|
enable_app_annotation_job_key = 'enable_app_annotation_job_{}'.format(str(job_id))
|
|
|
|
try:
|
|
documents = []
|
|
dataset_collection_binding = DatasetCollectionBindingService.get_dataset_collection_binding(
|
|
embedding_provider_name,
|
|
embedding_model_name,
|
|
'annotation'
|
|
)
|
|
annotation_setting = db.session.query(AppAnnotationSetting).filter(
|
|
AppAnnotationSetting.app_id == app_id).first()
|
|
if annotation_setting:
|
|
annotation_setting.score_threshold = score_threshold
|
|
annotation_setting.collection_binding_id = dataset_collection_binding.id
|
|
annotation_setting.updated_user_id = user_id
|
|
annotation_setting.updated_at = datetime.datetime.utcnow()
|
|
db.session.add(annotation_setting)
|
|
else:
|
|
new_app_annotation_setting = AppAnnotationSetting(
|
|
app_id=app_id,
|
|
score_threshold=score_threshold,
|
|
collection_binding_id=dataset_collection_binding.id,
|
|
created_user_id=user_id,
|
|
updated_user_id=user_id
|
|
)
|
|
db.session.add(new_app_annotation_setting)
|
|
|
|
dataset = Dataset(
|
|
id=app_id,
|
|
tenant_id=tenant_id,
|
|
indexing_technique='high_quality',
|
|
embedding_model_provider=embedding_provider_name,
|
|
embedding_model=embedding_model_name,
|
|
collection_binding_id=dataset_collection_binding.id
|
|
)
|
|
if annotations:
|
|
for annotation in annotations:
|
|
document = Document(
|
|
page_content=annotation.question,
|
|
metadata={
|
|
"annotation_id": annotation.id,
|
|
"app_id": app_id,
|
|
"doc_id": annotation.id
|
|
}
|
|
)
|
|
documents.append(document)
|
|
index = IndexBuilder.get_index(dataset, 'high_quality')
|
|
if index:
|
|
try:
|
|
index.delete_by_metadata_field('app_id', app_id)
|
|
except Exception as e:
|
|
logging.info(
|
|
click.style('Delete annotation index error: {}'.format(str(e)),
|
|
fg='red'))
|
|
index.add_texts(documents)
|
|
db.session.commit()
|
|
redis_client.setex(enable_app_annotation_job_key, 600, 'completed')
|
|
end_at = time.perf_counter()
|
|
logging.info(
|
|
click.style('App annotations added to index: {} latency: {}'.format(app_id, end_at - start_at),
|
|
fg='green'))
|
|
except Exception as e:
|
|
logging.exception("Annotation batch created index failed:{}".format(str(e)))
|
|
redis_client.setex(enable_app_annotation_job_key, 600, 'error')
|
|
enable_app_annotation_error_key = 'enable_app_annotation_error_{}'.format(str(job_id))
|
|
redis_client.setex(enable_app_annotation_error_key, 600, str(e))
|
|
db.session.rollback()
|
|
finally:
|
|
redis_client.delete(enable_app_annotation_key)
|