added a favicon, updated the README.md file
This commit is contained in:
+132
-132
@@ -1,133 +1,133 @@
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#!/usr/bin/env python3
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import os
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from fastapi import FastAPI, HTTPException, UploadFile, File
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from app.config import settings
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from app.tasks.upload_to_s3 import upload_to_s3
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from app.tasks.upload_to_dropbox import upload_to_dropbox
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from app.tasks.upload_to_paperless import upload_to_paperless
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from app.tasks.upload_to_nextcloud import upload_to_nextcloud
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from app.tasks.send_to_all import send_to_all_destinations
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from app.frontend import router as frontend_router
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app = FastAPI(title="Document Processing API")
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@app.get("/")
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def root():
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return {"message": "Document Processing API"}
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@app.post("/process/")
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def process(file_path: str):
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"""
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API Endpoint to start document processing.
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This enqueues the first task (upload_to_s3), which handles the full pipeline.
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"""
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# If file_path is not absolute, treat it as relative to settings.workdir.
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_s3.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_dropbox/")
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def send_to_dropbox(file_path: str):
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_dropbox.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_paperless/")
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def send_to_paperless(file_path: str):
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_paperless.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_nextcloud/")
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def send_to_nextcloud(file_path: str):
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_nextcloud.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_all_destinations/")
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def send_to_all_destinations_endpoint(file_path: str):
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"""
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Call the aggregator task that sends this file to dropbox, nextcloud, and paperless.
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"""
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if not os.path.isabs(file_path):
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# If not absolute, assume it's in processed subdir
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(
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status_code=400,
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detail=f"File {file_path} not found."
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)
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task = send_to_all_destinations.delay(file_path)
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return {"task_id": task.id, "status": "queued", "file_path": file_path}
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@app.post("/processall")
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def process_all_pdfs_in_workdir():
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"""
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Finds all .pdf files in <workdir>/processed
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and enqueues them for upload_to_s3.
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"""
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target_dir = settings.workdir
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if not os.path.exists(target_dir):
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raise HTTPException(status_code=400, detail=f"Directory {target_dir} does not exist.")
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pdf_files = []
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for filename in os.listdir(target_dir):
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if filename.lower().endswith(".pdf"):
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pdf_files.append(filename)
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if not pdf_files:
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return {"message": "No PDF files found in processed directory."}
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task_ids = []
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for pdf in pdf_files:
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file_path = os.path.join(target_dir, pdf)
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# Enqueue upload_to_s3
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from app.tasks.upload_to_s3 import upload_to_s3
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task = upload_to_s3.delay(file_path)
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task_ids.append(task.id)
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return {
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"message": f"Enqueued {len(pdf_files)} PDFs to upload_to_s3",
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"pdf_files": pdf_files,
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"task_ids": task_ids
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}
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app.include_router(frontend_router)
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@app.post("/ui-upload")
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async def ui_upload(file: UploadFile = File(...)):
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# You can store this file in your 'workdir' (like how /process does) or a tmp dir
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workdir = "/workdir"
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target_path = os.path.join(workdir, file.filename)
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try:
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with open(target_path, "wb") as f:
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content = await file.read()
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f.write(content)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Failed to save file: {e}")
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# Now you can call your existing Celery flow:
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task = upload_to_s3.delay(target_path)
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#!/usr/bin/env python3
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import os
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from fastapi import FastAPI, HTTPException, UploadFile, File
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from app.config import settings
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from app.tasks.upload_to_s3 import upload_to_s3
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from app.tasks.upload_to_dropbox import upload_to_dropbox
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from app.tasks.upload_to_paperless import upload_to_paperless
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from app.tasks.upload_to_nextcloud import upload_to_nextcloud
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from app.tasks.send_to_all import send_to_all_destinations
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from app.frontend import router as frontend_router
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app = FastAPI(title="Document Processing API")
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@app.get("/")
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def root():
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return {"message": "Document Processing API"}
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@app.post("/process/")
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def process(file_path: str):
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"""
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API Endpoint to start document processing.
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This enqueues the first task (upload_to_s3), which handles the full pipeline.
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"""
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# If file_path is not absolute, treat it as relative to settings.workdir.
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_s3.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_dropbox/")
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def send_to_dropbox(file_path: str):
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_dropbox.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_paperless/")
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def send_to_paperless(file_path: str):
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_paperless.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_nextcloud/")
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def send_to_nextcloud(file_path: str):
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if not os.path.isabs(file_path):
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(status_code=400, detail=f"File {file_path} not found.")
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task = upload_to_nextcloud.delay(file_path)
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return {"task_id": task.id, "status": "queued"}
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@app.post("/send_to_all_destinations/")
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def send_to_all_destinations_endpoint(file_path: str):
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"""
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Call the aggregator task that sends this file to dropbox, nextcloud, and paperless.
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"""
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if not os.path.isabs(file_path):
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# If not absolute, assume it's in processed subdir
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file_path = os.path.join(settings.workdir, 'processed', file_path)
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if not os.path.exists(file_path):
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raise HTTPException(
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status_code=400,
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detail=f"File {file_path} not found."
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)
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task = send_to_all_destinations.delay(file_path)
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return {"task_id": task.id, "status": "queued", "file_path": file_path}
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@app.post("/processall")
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def process_all_pdfs_in_workdir():
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"""
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Finds all .pdf files in <workdir>/processed
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and enqueues them for upload_to_s3.
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"""
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target_dir = settings.workdir
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if not os.path.exists(target_dir):
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raise HTTPException(status_code=400, detail=f"Directory {target_dir} does not exist.")
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pdf_files = []
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for filename in os.listdir(target_dir):
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if filename.lower().endswith(".pdf"):
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pdf_files.append(filename)
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if not pdf_files:
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return {"message": "No PDF files found in processed directory."}
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task_ids = []
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for pdf in pdf_files:
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file_path = os.path.join(target_dir, pdf)
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# Enqueue upload_to_s3
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from app.tasks.upload_to_s3 import upload_to_s3
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task = upload_to_s3.delay(file_path)
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task_ids.append(task.id)
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return {
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"message": f"Enqueued {len(pdf_files)} PDFs to upload_to_s3",
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"pdf_files": pdf_files,
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"task_ids": task_ids
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}
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app.include_router(frontend_router)
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@app.post("/ui-upload")
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async def ui_upload(file: UploadFile = File(...)):
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# You can store this file in your 'workdir' (like how /process does) or a tmp dir
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workdir = "/workdir"
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target_path = os.path.join(workdir, file.filename)
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try:
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with open(target_path, "wb") as f:
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content = await file.read()
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f.write(content)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Failed to save file: {e}")
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# Now you can call your existing Celery flow:
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task = upload_to_s3.delay(target_path)
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return {"task_id": task.id, "status": "queued"}
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