Underground-Digital/Workflow-Engine

1import json2import logging3import time4 5import click6from celery import shared_task7 8from core.indexing_runner import DocumentIsPausedException9from extensions.ext_database import db10from extensions.ext_storage import storage11from models.dataset import Dataset, ExternalKnowledgeApis12from models.model import UploadFile13from services.external_knowledge_service import ExternalDatasetService14 15 16@shared_task(queue="dataset")17def external_document_indexing_task(18    dataset_id: str, external_knowledge_api_id: str, data_source: dict, process_parameter: dict19):20    """21    Async process document22    :param dataset_id:23    :param external_knowledge_api_id:24    :param data_source:25    :param process_parameter:26    Usage: external_document_indexing_task.delay(dataset_id, document_id)27    """28    start_at = time.perf_counter()29 30    dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()31    if not dataset:32        logging.info(33            click.style("Processed external dataset: {} failed, dataset not exit.".format(dataset_id), fg="red")34        )35        return36 37    # get external api template38    external_knowledge_api = (39        db.session.query(ExternalKnowledgeApis)40        .filter(41            ExternalKnowledgeApis.id == external_knowledge_api_id, ExternalKnowledgeApis.tenant_id == dataset.tenant_id42        )43        .first()44    )45 46    if not external_knowledge_api:47        logging.info(48            click.style(49                "Processed external dataset: {} failed, api template: {} not exit.".format(50                    dataset_id, external_knowledge_api_id51                ),52                fg="red",53            )54        )55        return56    files = {}57    if data_source["type"] == "upload_file":58        upload_file_list = data_source["info_list"]["file_info_list"]["file_ids"]59        for file_id in upload_file_list:60            file = (61                db.session.query(UploadFile)62                .filter(UploadFile.tenant_id == dataset.tenant_id, UploadFile.id == file_id)63                .first()64            )65            if file:66                files[file.id] = (file.name, storage.load_once(file.key), file.mime_type)67    try:68        settings = ExternalDatasetService.get_external_knowledge_api_settings(69            json.loads(external_knowledge_api.settings)70        )71        # assemble headers72        headers = ExternalDatasetService.assembling_headers(settings.authorization, settings.headers)73 74        # do http request75        response = ExternalDatasetService.process_external_api(settings, headers, process_parameter, files)76        job_id = response.json().get("job_id")77        if job_id:78            # save job_id to dataset79            dataset.job_id = job_id80            db.session.commit()81 82        end_at = time.perf_counter()83        logging.info(84            click.style(85                "Processed external dataset: {} successful, latency: {}".format(dataset.id, end_at - start_at),86                fg="green",87            )88        )89    except DocumentIsPausedException as ex:90        logging.info(click.style(str(ex), fg="yellow"))91 92    except Exception:93        pass94