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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 core.indexing_runner import DocumentIsPausedException |
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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, ExternalKnowledgeApis |
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from models.model import UploadFile |
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from services.external_knowledge_service import ExternalDatasetService |
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@shared_task(queue="dataset") |
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def external_document_indexing_task( |
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dataset_id: str, external_knowledge_api_id: str, data_source: dict, process_parameter: dict |
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): |
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""" |
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Async process document |
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:param dataset_id: |
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:param external_knowledge_api_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( |
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click.style("Processed external dataset: {} failed, dataset not exit.".format(dataset_id), fg="red") |
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) |
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return |
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external_knowledge_api = ( |
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db.session.query(ExternalKnowledgeApis) |
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.filter( |
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ExternalKnowledgeApis.id == external_knowledge_api_id, ExternalKnowledgeApis.tenant_id == dataset.tenant_id |
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) |
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.first() |
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) |
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if not external_knowledge_api: |
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logging.info( |
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click.style( |
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"Processed external dataset: {} failed, api template: {} not exit.".format( |
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dataset_id, external_knowledge_api_id |
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), |
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fg="red", |
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) |
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) |
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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 = ( |
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db.session.query(UploadFile) |
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.filter(UploadFile.tenant_id == dataset.tenant_id, UploadFile.id == file_id) |
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.first() |
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) |
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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_external_knowledge_api_settings( |
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json.loads(external_knowledge_api.settings) |
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) |
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headers = ExternalDatasetService.assembling_headers(settings.authorization, settings.headers) |
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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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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( |
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"Processed external dataset: {} successful, latency: {}".format(dataset.id, end_at - start_at), |
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fg="green", |
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) |
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) |
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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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