mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-11-29 08:33:20 +00:00
Revert "(feat:storage) file, indexes uploads"
This reverts commit 64c42f0ddf.
This commit is contained in:
@@ -6,7 +6,7 @@ from bson.objectid import ObjectId
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from application.core.mongo_db import MongoDB
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from application.core.settings import settings
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from application.storage.storage_creator import StorageCreator
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mongo = MongoDB.get_client()
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db = mongo["docsgpt"]
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conversations_collection = db["conversations"]
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@@ -45,8 +45,7 @@ def upload_index_files():
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remote_data = request.form["remote_data"] if "remote_data" in request.form else None
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sync_frequency = secure_filename(request.form["sync_frequency"]) if "sync_frequency" in request.form else None
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storage = StorageCreator.create_storage(settings.STORAGE_TYPE)
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save_dir = os.path.join(current_dir, "indexes", str(id))
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if settings.VECTOR_STORE == "faiss":
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if "file_faiss" not in request.files:
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print("No file part")
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@@ -60,13 +59,12 @@ def upload_index_files():
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file_pkl = request.files["file_pkl"]
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if file_pkl.filename == "":
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return {"status": "no file name"}
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# saves index files
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# Save index files
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storage_path_faiss = f"indexes/{str(id)}/index.faiss"
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storage_path_pkl = f"indexes/{str(id)}/index.pkl"
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storage.save_file(file_faiss, storage_path_faiss)
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storage.save_file(file_pkl, storage_path_pkl)
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if not os.path.exists(save_dir):
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os.makedirs(save_dir)
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file_faiss.save(os.path.join(save_dir, "index.faiss"))
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file_pkl.save(os.path.join(save_dir, "index.pkl"))
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existing_entry = sources_collection.find_one({"_id": ObjectId(id)})
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if existing_entry:
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@@ -84,7 +82,6 @@ def upload_index_files():
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"retriever": retriever,
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"remote_data": remote_data,
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"sync_frequency": sync_frequency,
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"storage_type": settings.STORAGE_TYPE,
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}
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},
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)
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@@ -102,7 +99,6 @@ def upload_index_files():
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"retriever": retriever,
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"remote_data": remote_data,
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"sync_frequency": sync_frequency,
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"storage_type": settings.STORAGE_TYPE,
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}
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)
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return {"status": "ok"}
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@@ -4,7 +4,6 @@ import math
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import os
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import shutil
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import uuid
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import tempfile
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from bson.binary import Binary, UuidRepresentation
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from bson.dbref import DBRef
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@@ -22,7 +21,6 @@ from application.extensions import api
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from application.tts.google_tts import GoogleTTS
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from application.utils import check_required_fields, validate_function_name
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from application.vectorstore.vector_creator import VectorCreator
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from application.storage.storage_creator import StorageCreator
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mongo = MongoDB.get_client()
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db = mongo["docsgpt"]
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@@ -415,49 +413,53 @@ class UploadFile(Resource):
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user = secure_filename(decoded_token.get("sub"))
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job_name = secure_filename(request.form["name"])
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storage = StorageCreator.get_storage()
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try:
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save_dir = os.path.join(current_dir, settings.UPLOAD_FOLDER, user, job_name)
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os.makedirs(save_dir, exist_ok=True)
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try:
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if len(files) > 1:
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temp_dir = tempfile.mkdtemp()
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try:
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temp_dir = os.path.join(save_dir, "temp")
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os.makedirs(temp_dir, exist_ok=True)
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for file in files:
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filename = secure_filename(file.filename)
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file.save(os.path.join(temp_dir, filename))
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zip_path = os.path.join(temp_dir, f"{job_name}.zip")
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shutil.make_archive(
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base_name=os.path.join(temp_dir, job_name),
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print(f"Saved file: {filename}")
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zip_path = shutil.make_archive(
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base_name=os.path.join(save_dir, job_name),
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format="zip",
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root_dir=temp_dir,
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base_dir="."
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)
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final_filename = f"{job_name}.zip"
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relative_path = f"{settings.UPLOAD_FOLDER}/{user}/{job_name}/{final_filename}"
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with open(zip_path, 'rb') as zip_file:
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storage.save_file(zip_file, relative_path)
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final_filename = os.path.basename(zip_path)
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shutil.rmtree(temp_dir)
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task = ingest.delay(
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relative_path,
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settings.UPLOAD_FOLDER,
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[
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".rst", ".md", ".pdf", ".txt", ".docx", ".csv",
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".epub", ".html", ".mdx", ".json", ".xlsx",
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".pptx", ".png", ".jpg", ".jpeg",
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".rst",
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".md",
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".pdf",
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".txt",
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".docx",
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".csv",
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".epub",
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".html",
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".mdx",
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".json",
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".xlsx",
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".pptx",
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".png",
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".jpg",
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".jpeg",
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],
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job_name,
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final_filename,
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user,
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)
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finally:
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shutil.rmtree(temp_dir)
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else:
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file = files[0]
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final_filename = secure_filename(file.filename)
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relative_path = f"{settings.UPLOAD_FOLDER}/{user}/{job_name}/{final_filename}"
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storage.save_file(file, relative_path)
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file_path = os.path.join(save_dir, final_filename)
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file.save(file_path)
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task = ingest.delay(
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settings.UPLOAD_FOLDER,
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@@ -133,35 +133,20 @@ def ingest_worker(
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limit = None
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exclude = True
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sample = False
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full_path = os.path.join(directory, user, name_job)
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storage = StorageCreator.create_storage(settings.STORAGE_TYPE)
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temp_dir = tempfile.mkdtemp()
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full_path = os.path.join(temp_dir, name_job)
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logging.info(f"Ingest file: {full_path}", extra={"user": user, "job": name_job})
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file_data = {"name": name_job, "file": filename, "user": user}
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if not os.path.exists(full_path):
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os.makedirs(full_path)
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logging.info(f"Ingest file: {directory}/{user}/{name_job}/{filename}", extra={"user": user, "job": name_job})
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file_data = {"name": name_job, "file": filename, "user": user}
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try:
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file_path = f"{directory}/{user}/{name_job}/{filename}"
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try:
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file_obj = storage.get_file(file_path)
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local_file_path = os.path.join(full_path, filename)
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with open(local_file_path, 'wb') as f:
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shutil.copyfileobj(file_obj, f)
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download_file(urljoin(settings.API_URL, "/api/download"), file_data, os.path.join(full_path, filename))
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# check if file is .zip and extract it
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if filename.endswith(".zip"):
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extract_zip_recursive(
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os.path.join(full_path, filename), full_path, 0, RECURSION_DEPTH
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)
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except FileNotFoundError as e:
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logging.error(f"File not found in storage: {file_path}")
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raise FileNotFoundError(f"File not found: {file_path}") from e
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self.update_state(state="PROGRESS", meta={"current": 1})
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@@ -186,10 +171,7 @@ def ingest_worker(
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docs = [Document.to_langchain_format(raw_doc) for raw_doc in raw_docs]
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id = ObjectId()
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vector_dir = os.path.join(temp_dir, "vector_store")
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os.makedirs(vector_dir, exist_ok=True)
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embed_and_store_documents(docs, vector_dir, str(id), self)
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embed_and_store_documents(docs, full_path, id, self)
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tokens = count_tokens_docs(docs)
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self.update_state(state="PROGRESS", meta={"current": 100})
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@@ -203,22 +185,10 @@ def ingest_worker(
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"id": str(id),
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"type": "local",
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})
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upload_index(full_path, file_data)
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mongo = MongoDB.get_client()
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db = mongo["docsgpt"]
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sources_collection = db["sources"]
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sources_collection.insert_one({
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"_id": id,
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"name": name_job,
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"user": user,
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"date": datetime.datetime.now(),
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"tokens": tokens,
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"retriever": retriever,
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"type": "local",
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"storage_type": settings.STORAGE_TYPE,
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"original_file_path": file_path
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})
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# delete local
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shutil.rmtree(full_path)
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return {
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"directory": directory,
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@@ -229,10 +199,6 @@ def ingest_worker(
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"limited": False,
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}
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finally:
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if os.path.exists(temp_dir):
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shutil.rmtree(temp_dir)
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def remote_worker(
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self,
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source_data,
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