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https://github.com/deepset-ai/haystack.git
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96a538b182
* remove duplicate imports * fix ungrouped-imports * Fix wrong-import-position * Fix unused-import * pyproject.toml * Working on wrong-import-order * Solve wrong-import-order * fix Pool import * Move open_search_index_to_document_store and elasticsearch_index_to_document_store in elasticsearch.py * remove Converter from modeling * Fix mypy issues on adaptive_model.py * create es_converter.py * remove converter import * change import path in tests * Restructure REST API to not rely on global vars from search.apy and improve tests * Fix openapi generator * Move variable initialization * Change type of FilterRequest.filters Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
89 lines
2.9 KiB
Python
89 lines
2.9 KiB
Python
from typing import Optional, List
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import json
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import shutil
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import uuid
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from pathlib import Path
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from fastapi import FastAPI, APIRouter, UploadFile, File, Form, HTTPException, Depends
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from pydantic import BaseModel
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from haystack import Pipeline
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from haystack.nodes import BaseConverter, PreProcessor
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from rest_api.utils import get_app, get_pipelines
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from rest_api.config import FILE_UPLOAD_PATH
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from rest_api.controller.utils import as_form
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router = APIRouter()
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app: FastAPI = get_app()
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indexing_pipeline: Pipeline = get_pipelines().get("indexing_pipeline", None)
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@as_form
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class FileConverterParams(BaseModel):
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remove_numeric_tables: Optional[bool] = None
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valid_languages: Optional[List[str]] = None
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@as_form
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class PreprocessorParams(BaseModel):
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clean_whitespace: Optional[bool] = None
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clean_empty_lines: Optional[bool] = None
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clean_header_footer: Optional[bool] = None
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split_by: Optional[str] = None
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split_length: Optional[int] = None
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split_overlap: Optional[int] = None
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split_respect_sentence_boundary: Optional[bool] = None
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class Response(BaseModel):
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file_id: str
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@router.post("/file-upload")
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def upload_file(
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files: List[UploadFile] = File(...),
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# JSON serialized string
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meta: Optional[str] = Form("null"), # type: ignore
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fileconverter_params: FileConverterParams = Depends(FileConverterParams.as_form), # type: ignore
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preprocessor_params: PreprocessorParams = Depends(PreprocessorParams.as_form), # type: ignore
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):
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"""
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You can use this endpoint to upload a file for indexing
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(see https://haystack.deepset.ai/guides/rest-api#indexing-documents-in-the-haystack-rest-api-document-store).
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"""
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if not indexing_pipeline:
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raise HTTPException(status_code=501, detail="Indexing Pipeline is not configured.")
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file_paths: list = []
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file_metas: list = []
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meta_form = json.loads(meta) or {} # type: ignore
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if not isinstance(meta_form, dict):
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raise HTTPException(status_code=500, detail=f"The meta field must be a dict or None, not {type(meta_form)}")
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for file in files:
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try:
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file_path = Path(FILE_UPLOAD_PATH) / f"{uuid.uuid4().hex}_{file.filename}"
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with file_path.open("wb") as buffer:
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shutil.copyfileobj(file.file, buffer)
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file_paths.append(file_path)
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meta_form["name"] = file.filename
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file_metas.append(meta_form)
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finally:
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file.file.close()
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# Find nodes names
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converters = indexing_pipeline.get_nodes_by_class(BaseConverter)
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preprocessors = indexing_pipeline.get_nodes_by_class(PreProcessor)
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params = {}
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for converter in converters:
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params[converter.name] = fileconverter_params.dict()
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for preprocessor in preprocessors:
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params[preprocessor.name] = preprocessor_params.dict()
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indexing_pipeline.run(file_paths=file_paths, meta=file_metas, params=params)
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