Files
DocsGPT/application/api/user/attachments/routes.py
Heisenberg Vader 3789d2eb03 Updated the technique for handling multiple file uploads from the user (#2126)
* Fixed multiple file uploads to be sent through a single request to backend for further processing and storing

* Fixed multiple file uploads to be sent through a single request to backend for further processing and storing

* Fixed multiple file uploads to be sent through a single request to backend for further processing and storing

* Made duplicate multiple keyword fixes

* Added back drag and drop functionality and it keeps the multiple file uploads
2025-11-04 01:12:35 +02:00

199 lines
7.3 KiB
Python

"""File attachments and media routes."""
import os
from bson.objectid import ObjectId
from flask import current_app, jsonify, make_response, request
from flask_restx import fields, Namespace, Resource
from application.api import api
from application.api.user.base import agents_collection, storage
from application.api.user.tasks import store_attachment
from application.core.settings import settings
from application.tts.tts_creator import TTSCreator
from application.utils import safe_filename
attachments_ns = Namespace(
"attachments", description="File attachments and media operations", path="/api"
)
@attachments_ns.route("/store_attachment")
class StoreAttachment(Resource):
@api.expect(
api.model(
"AttachmentModel",
{
"file": fields.Raw(required=True, description="File(s) to upload"),
"api_key": fields.String(
required=False, description="API key (optional)"
),
},
)
)
@api.doc(
description="Stores one or multiple attachments without vectorization or training. Supports user or API key authentication."
)
def post(self):
decoded_token = getattr(request, "decoded_token", None)
api_key = request.form.get("api_key") or request.args.get("api_key")
files = request.files.getlist("file")
if not files:
single_file = request.files.get("file")
if single_file:
files = [single_file]
if not files or all(f.filename == "" for f in files):
return make_response(
jsonify({"status": "error", "message": "Missing file(s)"}),
400,
)
user = None
if decoded_token:
user = safe_filename(decoded_token.get("sub"))
elif api_key:
agent = agents_collection.find_one({"key": api_key})
if not agent:
return make_response(
jsonify({"success": False, "message": "Invalid API key"}), 401
)
user = safe_filename(agent.get("user"))
else:
return make_response(
jsonify({"success": False, "message": "Authentication required"}), 401
)
try:
tasks = []
errors = []
original_file_count = len(files)
for idx, file in enumerate(files):
try:
attachment_id = ObjectId()
original_filename = safe_filename(os.path.basename(file.filename))
relative_path = f"{settings.UPLOAD_FOLDER}/{user}/attachments/{str(attachment_id)}/{original_filename}"
metadata = storage.save_file(file, relative_path)
file_info = {
"filename": original_filename,
"attachment_id": str(attachment_id),
"path": relative_path,
"metadata": metadata,
}
task = store_attachment.delay(file_info, user)
tasks.append({
"task_id": task.id,
"filename": original_filename,
"attachment_id": str(attachment_id),
})
except Exception as file_err:
current_app.logger.error(f"Error processing file {idx} ({file.filename}): {file_err}", exc_info=True)
errors.append({
"filename": file.filename,
"error": str(file_err)
})
if not tasks:
error_msg = "No valid files to upload"
if errors:
error_msg += f". Errors: {errors}"
return make_response(
jsonify({"status": "error", "message": error_msg, "errors": errors}),
400,
)
if original_file_count == 1 and len(tasks) == 1:
current_app.logger.info("Returning single task_id response")
return make_response(
jsonify(
{
"success": True,
"task_id": tasks[0]["task_id"],
"message": "File uploaded successfully. Processing started.",
}
),
200,
)
else:
response_data = {
"success": True,
"tasks": tasks,
"message": f"{len(tasks)} file(s) uploaded successfully. Processing started.",
}
if errors:
response_data["errors"] = errors
response_data["message"] += f" {len(errors)} file(s) failed."
return make_response(
jsonify(response_data),
200,
)
except Exception as err:
current_app.logger.error(f"Error storing attachment: {err}", exc_info=True)
return make_response(jsonify({"success": False, "error": str(err)}), 400)
@attachments_ns.route("/images/<path:image_path>")
class ServeImage(Resource):
@api.doc(description="Serve an image from storage")
def get(self, image_path):
try:
file_obj = storage.get_file(image_path)
extension = image_path.split(".")[-1].lower()
content_type = f"image/{extension}"
if extension == "jpg":
content_type = "image/jpeg"
response = make_response(file_obj.read())
response.headers.set("Content-Type", content_type)
response.headers.set("Cache-Control", "max-age=86400")
return response
except FileNotFoundError:
return make_response(
jsonify({"success": False, "message": "Image not found"}), 404
)
except Exception as e:
current_app.logger.error(f"Error serving image: {e}")
return make_response(
jsonify({"success": False, "message": "Error retrieving image"}), 500
)
@attachments_ns.route("/tts")
class TextToSpeech(Resource):
tts_model = api.model(
"TextToSpeechModel",
{
"text": fields.String(
required=True, description="Text to be synthesized as audio"
),
},
)
@api.expect(tts_model)
@api.doc(description="Synthesize audio speech from text")
def post(self):
data = request.get_json()
text = data["text"]
try:
tts_instance = TTSCreator.create_tts(settings.TTS_PROVIDER)
audio_base64, detected_language = tts_instance.text_to_speech(text)
return make_response(
jsonify(
{
"success": True,
"audio_base64": audio_base64,
"lang": detected_language,
}
),
200,
)
except Exception as err:
current_app.logger.error(f"Error synthesizing audio: {err}", exc_info=True)
return make_response(jsonify({"success": False}), 400)