76 lines
2.9 KiB
Python
76 lines
2.9 KiB
Python
import datetime
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import json
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import logging
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import time
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import click
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from celery import shared_task
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from configs import dify_config
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from core.indexing_runner import DocumentIsPausedException, IndexingRunner
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from extensions.ext_database import db
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from extensions.ext_storage import storage
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from models.dataset import Dataset, Document, ExternalApiTemplates
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from models.model import UploadFile
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from services.external_knowledge_service import ExternalDatasetService
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from services.feature_service import FeatureService
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@shared_task(queue='dataset')
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def external_document_indexing_task(dataset_id: str, api_template_id: str, data_source: dict, process_parameter: dict):
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"""
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Async process document
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:param dataset_id:
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:param api_template_id:
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:param data_source:
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:param process_parameter:
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Usage: external_document_indexing_task.delay(dataset_id, document_id)
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"""
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start_at = time.perf_counter()
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dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
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if not dataset:
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logging.info(click.style('Processed external dataset: {} failed, dataset not exit.'.format(dataset_id), fg='red'))
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return
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# get external api template
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api_template = db.session.query(ExternalApiTemplates).filter(
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ExternalApiTemplates.id == api_template_id,
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ExternalApiTemplates.tenant_id == dataset.tenant_id
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).first()
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if not api_template:
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logging.info(click.style('Processed external dataset: {} failed, api template: {} not exit.'.format(dataset_id, api_template_id), fg='red'))
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return
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files = {}
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if data_source["type"] == "upload_file":
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upload_file_list = data_source["info_list"]['file_info_list']['file_ids']
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for file_id in upload_file_list:
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file = db.session.query(UploadFile).filter(
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UploadFile.tenant_id == dataset.tenant_id,
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UploadFile.id == file_id
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).first()
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if file:
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files[file.id] = (file.name, storage.load_once(file.key), file.mime_type)
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try:
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settings = ExternalDatasetService.get_api_template_settings(json.loads(api_template.settings))
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# assemble headers
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headers = ExternalDatasetService.assembling_headers(settings.authorization, settings.headers)
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# do http request
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response = ExternalDatasetService.process_external_api(settings, headers, process_parameter, files)
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job_id = response.json().get('job_id')
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if job_id:
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# save job_id to dataset
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dataset.job_id = job_id
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db.session.commit()
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end_at = time.perf_counter()
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logging.info(
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click.style('Processed external dataset: {} successful, latency: {}'.format(dataset.id, end_at - start_at), fg='green'))
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except DocumentIsPausedException as ex:
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logging.info(click.style(str(ex), fg='yellow'))
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except Exception:
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pass
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