mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-12 14:45:42 +08:00
Consolidateion of document upload API (#14106)
### What problem does this PR solve? Consolidation WEB API & HTTP API for document upload Before consolidation Web API: POST /v1/document/upload Http API - POST /api/v1/datasets/<dataset_id>/documents After consolidation, Restful API -- POST /api/v1/datasets/<dataset_id>/documents ### Type of change - [x] Refactoring
This commit is contained in:
@@ -62,56 +62,6 @@ def _is_safe_download_filename(name: str) -> bool:
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return True
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@manager.route("/upload", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("kb_id")
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async def upload():
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form = await request.form
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kb_id = form.get("kb_id")
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if not kb_id:
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return get_json_result(data=False, message='Lack of "KB ID"', code=RetCode.ARGUMENT_ERROR)
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files = await request.files
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if "file" not in files:
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return get_json_result(data=False, message="No file part!", code=RetCode.ARGUMENT_ERROR)
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file_objs = files.getlist("file")
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def _close_file_objs(objs):
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for obj in objs:
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try:
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obj.close()
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except Exception:
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try:
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obj.stream.close()
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except Exception:
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pass
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for file_obj in file_objs:
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if file_obj.filename == "":
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_close_file_objs(file_objs)
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return get_json_result(data=False, message="No file selected!", code=RetCode.ARGUMENT_ERROR)
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if len(file_obj.filename.encode("utf-8")) > FILE_NAME_LEN_LIMIT:
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_close_file_objs(file_objs)
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return get_json_result(data=False, message=f"File name must be {FILE_NAME_LEN_LIMIT} bytes or less.", code=RetCode.ARGUMENT_ERROR)
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e, kb = KnowledgebaseService.get_by_id(kb_id)
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if not e:
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raise LookupError("Can't find this dataset!")
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if not check_kb_team_permission(kb, current_user.id):
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return get_json_result(data=False, message="No authorization.", code=RetCode.AUTHENTICATION_ERROR)
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err, files = await thread_pool_exec(FileService.upload_document, kb, file_objs, current_user.id)
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if err:
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files = [f[0] for f in files] if files else []
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return get_json_result(data=files, message="\n".join(err), code=RetCode.SERVER_ERROR)
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if not files:
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return get_json_result(data=files, message="There seems to be an issue with your file format. Please verify it is correct and not corrupted.", code=RetCode.DATA_ERROR)
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files = [f[0] for f in files] # remove the blob
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return get_json_result(data=files)
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@manager.route("/web_crawl", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("kb_id", "name", "url")
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@@ -19,8 +19,8 @@ from quart import request
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from peewee import OperationalError
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from pydantic import ValidationError
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from api.apps.services.document_api_service import rename_doc_key, validate_document_update_fields, \
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update_document_name_only, update_chunk_method_only, update_document_status_only
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from api.apps.services.document_api_service import map_doc_keys_with_run_status, validate_document_update_fields, \
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update_document_name_only, update_chunk_method_only, update_document_status_only, map_doc_keys
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from api.db.services.doc_metadata_service import DocMetadataService
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from api.db.services.document_service import DocumentService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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@@ -143,7 +143,7 @@ async def update_document(tenant_id, dataset_id, document_id):
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except OperationalError as e:
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logging.exception(e)
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return get_error_data_result(message="Database operation failed")
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renamed_doc = rename_doc_key(doc)
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renamed_doc = map_doc_keys(doc)
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return get_result(data=renamed_doc)
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@@ -183,3 +183,136 @@ async def metadata_summary(dataset_id, tenant_id):
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return get_result(data={"summary": summary})
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except Exception as e:
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return server_error_response(e)
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@manager.route("/datasets/<dataset_id>/documents", methods=["POST"]) # noqa: F821
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@login_required
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@add_tenant_id_to_kwargs
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async def upload_document(dataset_id, tenant_id):
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"""
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Upload documents to a dataset.
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---
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tags:
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- Documents
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security:
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- ApiKeyAuth: []
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parameters:
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- in: path
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name: dataset_id
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type: string
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required: true
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description: ID of the dataset.
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- in: header
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name: Authorization
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type: string
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required: true
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description: Bearer token for authentication.
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- in: formData
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name: file
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type: file
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required: true
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description: Document files to upload.
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- in: formData
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name: parent_path
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type: string
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description: Optional nested path under the parent folder. Uses '/' separators.
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- in: query
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name: return_raw_files
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type: boolean
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required: false
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default: false
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description: Whether to skip document key mapping and return raw document data
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responses:
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200:
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description: Successfully uploaded documents.
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schema:
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type: object
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properties:
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data:
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type: array
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items:
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type: object
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properties:
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id:
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type: string
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description: Document ID.
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name:
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type: string
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description: Document name.
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chunk_count:
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type: integer
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description: Number of chunks.
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token_count:
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type: integer
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description: Number of tokens.
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dataset_id:
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type: string
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description: ID of the dataset.
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chunk_method:
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type: string
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description: Chunking method used.
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run:
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type: string
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description: Processing status.
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"""
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from api.constants import FILE_NAME_LEN_LIMIT
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from api.common.check_team_permission import check_kb_team_permission
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from api.db.services.file_service import FileService
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from common.misc_utils import thread_pool_exec
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form = await request.form
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files = await request.files
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# Validation
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if "file" not in files:
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logging.error("No file part!")
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return get_error_data_result(message="No file part!", code=RetCode.ARGUMENT_ERROR)
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file_objs = files.getlist("file")
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for file_obj in file_objs:
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if file_obj is None or file_obj.filename is None or file_obj.filename == "":
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logging.error("No file selected!")
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return get_error_data_result(message="No file selected!", code=RetCode.ARGUMENT_ERROR)
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if len(file_obj.filename.encode("utf-8")) > FILE_NAME_LEN_LIMIT:
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msg = f"File name must be {FILE_NAME_LEN_LIMIT} bytes or less."
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logging.error(msg)
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return get_error_data_result(message=msg, code=RetCode.ARGUMENT_ERROR)
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# KB Lookup
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e, kb = KnowledgebaseService.get_by_id(dataset_id)
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if not e:
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logging.error(f"Can't find the dataset with ID {dataset_id}!")
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return get_error_data_result(message=f"Can't find the dataset with ID {dataset_id}!", code=RetCode.DATA_ERROR)
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# Permission Check
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if not check_kb_team_permission(kb, tenant_id):
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logging.error("No authorization.")
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return get_error_data_result(message="No authorization.", code=RetCode.AUTHENTICATION_ERROR)
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# File Upload (async)
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err, files = await thread_pool_exec(
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FileService.upload_document, kb, file_objs, tenant_id,
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parent_path=form.get("parent_path")
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)
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if err:
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msg = "\n".join(err)
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logging.error(msg)
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return get_error_data_result(message=msg, code=RetCode.SERVER_ERROR)
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if not files:
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msg = "There seems to be an issue with your file format. please verify it is correct and not corrupted."
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logging.error(msg)
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return get_error_data_result(message=msg, code=RetCode.DATA_ERROR)
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files = [f[0] for f in files] # remove the blob
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# Check if we should return raw files without document key mapping
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return_raw_files = request.args.get("return_raw_files", "false").lower() == "true"
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if return_raw_files:
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return get_result(data=files)
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renamed_doc_list = [map_doc_keys_with_run_status(doc, run_status="0") for doc in files]
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return get_result(data=renamed_doc_list)
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@@ -22,7 +22,6 @@ import xxhash
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from pydantic import BaseModel, Field, validator
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from quart import request, send_file
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from api.constants import FILE_NAME_LEN_LIMIT
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from api.db.db_models import APIToken, Document, File, Task
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from api.db.joint_services.tenant_model_service import get_model_config_by_id, get_model_config_by_type_and_name, get_tenant_default_model_by_type
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from api.db.services.doc_metadata_service import DocMetadataService
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@@ -69,117 +68,6 @@ class Chunk(BaseModel):
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return value
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@manager.route("/datasets/<dataset_id>/documents", methods=["POST"]) # noqa: F821
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@token_required
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async def upload(dataset_id, tenant_id):
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"""
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Upload documents to a dataset.
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---
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tags:
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- Documents
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security:
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- ApiKeyAuth: []
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parameters:
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- in: path
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name: dataset_id
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type: string
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required: true
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description: ID of the dataset.
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- in: header
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name: Authorization
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type: string
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required: true
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description: Bearer token for authentication.
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- in: formData
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name: file
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type: file
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required: true
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description: Document files to upload.
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- in: formData
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name: parent_path
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type: string
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description: Optional nested path under the parent folder. Uses '/' separators.
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responses:
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200:
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description: Successfully uploaded documents.
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schema:
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type: object
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properties:
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data:
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type: array
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items:
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type: object
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properties:
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id:
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type: string
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description: Document ID.
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name:
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type: string
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description: Document name.
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chunk_count:
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type: integer
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description: Number of chunks.
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token_count:
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type: integer
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description: Number of tokens.
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dataset_id:
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type: string
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description: ID of the dataset.
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chunk_method:
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type: string
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description: Chunking method used.
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run:
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type: string
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description: Processing status.
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"""
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form = await request.form
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files = await request.files
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if "file" not in files:
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return get_error_data_result(message="No file part!", code=RetCode.ARGUMENT_ERROR)
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file_objs = files.getlist("file")
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for file_obj in file_objs:
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if file_obj.filename == "":
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return get_result(message="No file selected!", code=RetCode.ARGUMENT_ERROR)
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if len(file_obj.filename.encode("utf-8")) > FILE_NAME_LEN_LIMIT:
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return get_result(message=f"File name must be {FILE_NAME_LEN_LIMIT} bytes or less.", code=RetCode.ARGUMENT_ERROR)
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"""
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# total size
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total_size = 0
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for file_obj in file_objs:
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file_obj.seek(0, os.SEEK_END)
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total_size += file_obj.tell()
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file_obj.seek(0)
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MAX_TOTAL_FILE_SIZE = 10 * 1024 * 1024
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if total_size > MAX_TOTAL_FILE_SIZE:
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return get_result(
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message=f"Total file size exceeds 10MB limit! ({total_size / (1024 * 1024):.2f} MB)",
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code=RetCode.ARGUMENT_ERROR,
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)
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"""
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e, kb = KnowledgebaseService.get_by_id(dataset_id)
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if not e:
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return server_error_response(LookupError(f"Can't find the dataset with ID {dataset_id}!"))
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err, files = FileService.upload_document(kb, file_objs, tenant_id, parent_path=form.get("parent_path"))
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if err:
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return get_result(message="\n".join(err), code=RetCode.SERVER_ERROR)
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# rename key's name
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renamed_doc_list = []
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for file in files:
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doc = file[0]
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key_mapping = {
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"chunk_num": "chunk_count",
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"kb_id": "dataset_id",
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"token_num": "token_count",
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"parser_id": "chunk_method",
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}
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renamed_doc = {}
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for key, value in doc.items():
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new_key = key_mapping.get(key, key)
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renamed_doc[new_key] = value
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renamed_doc["run"] = "UNSTART"
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renamed_doc_list.append(renamed_doc)
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return get_result(data=renamed_doc_list)
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@manager.route("/datasets/<dataset_id>/documents/<document_id>", methods=["GET"]) # noqa: F821
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@token_required
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async def download(tenant_id, dataset_id, document_id):
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@@ -165,7 +165,7 @@ def validate_document_update_fields(update_doc_req:UpdateDocumentReq, doc, req):
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return None, None
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def rename_doc_key(doc):
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def map_doc_keys(doc):
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"""
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Rename document keys to match API response format.
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@@ -175,6 +175,46 @@ def rename_doc_key(doc):
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Args:
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doc: The document model from the database.
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Returns:
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A dictionary with renamed keys for API response.
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"""
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renamed_doc = _process_key_mappings(doc)
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if "run" in renamed_doc.keys():
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renamed_doc = _process_run_mapping(renamed_doc, renamed_doc["run"])
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return renamed_doc
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def map_doc_keys_with_run_status(doc, run_status):
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"""
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Map document keys to match API response format.
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Converts internal document model field names to the external API
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response field names (e.g., 'chunk_num' -> 'chunk_count').
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Args:
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doc: The document model from the database OR a dictionary.
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run_status: Optional explicit run status value. If not provided:
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- If doc has 'run' field, it will be mapped using run_mapping
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- Otherwise, 'run' will be set to 'UNSTART' (for new uploads)
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Returns:
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A dictionary with renamed keys for API response.
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"""
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renamed_doc = _process_key_mappings(doc)
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renamed_doc = _process_run_mapping(renamed_doc, run_status)
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return renamed_doc
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def _process_key_mappings(doc):
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"""
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Map document keys to match API response format.
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Converts internal document model field names to the external API
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response field names (e.g., 'chunk_num' -> 'chunk_count').
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Args:
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doc: The document model from the database OR a dictionary.
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Returns:
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A dictionary with renamed keys for API response.
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"""
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@@ -184,6 +224,30 @@ def rename_doc_key(doc):
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"token_num": "token_count",
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"parser_id": "chunk_method",
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}
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# Handle both dict and model input
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items = doc.to_dict().items() if hasattr(doc, 'to_dict') else doc.items()
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renamed_doc = {}
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for key, value in items:
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new_key = key_mapping.get(key, key)
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renamed_doc[new_key] = value
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return renamed_doc
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def _process_run_mapping(doc, run_status):
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"""
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Map document keys to match API response format.
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Args:
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doc: The document model from the database OR a dictionary.
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run_status: Optional explicit run status value. If not provided:
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- If doc has 'run' field, it will be mapped using run_mapping
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- Otherwise, 'run' will be set to 'UNSTART' (for new uploads)
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Returns:
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A dictionary with renamed keys for API response.
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"""
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run_mapping = {
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"0": "UNSTART",
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"1": "RUNNING",
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@@ -191,11 +255,12 @@ def rename_doc_key(doc):
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"3": "DONE",
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"4": "FAIL",
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}
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renamed_doc = {}
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for key, value in doc.to_dict().items():
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new_key = key_mapping.get(key, key)
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renamed_doc[new_key] = value
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if key == "run":
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renamed_doc["run"] = run_mapping.get(str(value))
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return renamed_doc
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# Handle run field
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if run_status is None or run_status not in run_mapping.keys():
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run_status = "0"
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doc["run"] = run_mapping[run_status]
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return doc
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Block a user