2021-04-07 17:53:32 +02:00
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import json
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2020-06-17 16:28:26 +02:00
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import logging
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2020-06-24 15:05:30 +02:00
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import os
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2020-06-17 16:28:26 +02:00
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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 typing import Optional, List
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2021-09-10 11:41:16 +02:00
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from fastapi import APIRouter, UploadFile, File, Form, HTTPException, Depends
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from pydantic import BaseModel
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2020-06-17 16:28:26 +02:00
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2021-04-07 17:53:32 +02:00
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from haystack.pipeline import Pipeline
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from rest_api.config import PIPELINE_YAML_PATH, FILE_UPLOAD_PATH, INDEXING_PIPELINE_NAME
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2021-09-10 11:41:16 +02:00
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from rest_api.controller.utils import as_form
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2020-06-17 16:28:26 +02:00
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logger = logging.getLogger(__name__)
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router = APIRouter()
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2021-04-07 17:53:32 +02:00
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try:
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2021-09-10 11:53:32 +02:00
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_, pipeline_config, definitions = Pipeline._read_yaml(
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path=Path(PIPELINE_YAML_PATH), pipeline_name=INDEXING_PIPELINE_NAME, overwrite_with_env_variables=True
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)
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# Since each instance of FAISSDocumentStore creates an in-memory FAISS index, the Indexing & Query Pipelines would
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# end up with different indices. The check below prevents creation of Indexing Pipelines with FAISSDocumentStore.
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is_faiss_present = False
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for node in pipeline_config["nodes"]:
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if definitions[node["name"]]["type"] == "FAISSDocumentStore":
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is_faiss_present = True
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break
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if is_faiss_present:
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logger.warning("Indexing Pipeline with FAISSDocumentStore is not supported with the REST APIs.")
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INDEXING_PIPELINE = None
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else:
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INDEXING_PIPELINE = Pipeline.load_from_yaml(Path(PIPELINE_YAML_PATH), pipeline_name=INDEXING_PIPELINE_NAME)
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2021-04-07 17:53:32 +02:00
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except KeyError:
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INDEXING_PIPELINE = None
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2021-09-10 11:53:32 +02:00
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logger.warning("Indexing Pipeline not found in the YAML configuration. File Upload API will not be available.")
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2020-06-17 16:28:26 +02:00
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2020-06-24 15:05:30 +02:00
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os.makedirs(FILE_UPLOAD_PATH, exist_ok=True) # create directory for uploading files
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2020-06-17 16:28:26 +02:00
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2021-09-10 11:41:16 +02:00
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@as_form
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class FileUploadParams(BaseModel):
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remove_numeric_tables: Optional[bool] = None
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remove_whitespace: Optional[bool] = None
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remove_empty_lines: Optional[bool] = None
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remove_header_footer: Optional[bool] = None
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valid_languages: Optional[List[str]] = 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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2020-06-17 16:28:26 +02:00
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@router.post("/file-upload")
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2021-04-07 17:53:32 +02:00
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def file_upload(
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2021-06-30 17:13:46 +05:00
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files: List[UploadFile] = File(...),
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2021-04-07 17:53:32 +02:00
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meta: Optional[str] = Form("null"), # JSON serialized string
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2021-09-10 11:41:16 +02:00
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params: FileUploadParams = Depends(FileUploadParams.as_form)
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2020-07-06 17:35:47 +02:00
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):
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2021-04-07 17:53:32 +02:00
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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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2021-04-30 14:16:30 +05:30
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2021-06-30 17:13:46 +05:00
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file_paths: list = []
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file_metas: list = []
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meta = json.loads(meta) or {}
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2021-04-30 14:16:30 +05:30
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2021-06-30 17:13:46 +05:00
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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["name"] = file.filename
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file_metas.append(meta)
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finally:
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file.file.close()
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INDEXING_PIPELINE.run(
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file_paths=file_paths,
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meta=file_metas,
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2021-09-10 11:41:16 +02:00
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params=params.dict(),
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2021-06-30 17:13:46 +05:00
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)
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