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from typing import List, Dict, Any
import os
import shutil
import uuid
import time
from functools import wraps
from fastapi import FastAPI, Request, UploadFile, File, HTTPException, status
from fastapi.responses import HTMLResponse, JSONResponse
from fastapi.templating import Jinja2Templates
from fastapi.staticfiles import StaticFiles
from starlette.middleware.sessions import SessionMiddleware
from starlette.responses import FileResponse
from starlette.background import BackgroundTask
from pydantic import BaseModel
from datasets import Dataset, Audio
# --- Pydantic Models for Data Validation/Serialization ---
class SaveAnnotationRequest(BaseModel):
"""Model for the POST request payload to save transcription."""
index: int
transcription: str
speaker: str
class AudioDataResponse(BaseModel):
"""Model for the GET response when loading an audio row."""
index: int
filename: str
transcription: str
speaker: str
max_index: int
# --- Configuration and Global State ---
# Directory to save user-uploaded audio files
UPLOAD_DIR = "./uploaded_audio"
# Data structure to hold the annotation state: {f'{user_id}': [{"filename": str, "speaker": str, "transcription": str}]}
ANNOTATION_DATA: Dict[str, List[Dict[str, Any]]] = {}
# Index of the audio file currently being displayed/annotated
current_index: Dict[str, int] = {}
# Ensure the upload directory exists
os.makedirs(UPLOAD_DIR, exist_ok=True)
# --- FastAPI Setup ---
app = FastAPI(title="Audio Annotation Tool with File Upload")
app.mount("/static", StaticFiles(directory="./static", html=True), name="static")
app.add_middleware(SessionMiddleware, secret_key="audio-annotator-application")
templates = Jinja2Templates(directory="./templates")
# --- Utility Functions ---
def load_data_for_index(user_id: int, index: int) -> Dict[str, Any]:
"""Helper to safely fetch data for a given index."""
if not ANNOTATION_DATA[user_id]:
return {"index": -1, "filename": "", "transcription": "No files uploaded yet.", "speaker": "No files uploaded yet.", "max_index": 0}
if 0 <= index < len(ANNOTATION_DATA[user_id]):
item = ANNOTATION_DATA[user_id][index]
return {
"index": index,
"filename": item['filename'],
"transcription": item['transcription'],
"speaker": item['speaker'],
"max_index": len(ANNOTATION_DATA[user_id])
}
else:
# Wrap around if needed, or handle boundary cases
raise IndexError("Index out of bounds.")
def get_user_directory(user_id):
return os.path.join(UPLOAD_DIR, f'{user_id}')
def serve_index_html(request: Request):
try:
user_id = request.session.get('_id', None)
if user_id is None:
user_id = str(uuid.uuid4())
request.session['_id'] = user_id
# Ensure the upload directory exists
# print(user_id)
user_dir = get_user_directory(user_id)
os.makedirs(user_dir, exist_ok=True)
ANNOTATION_DATA[user_id] = []
current_index[user_id] = -1
return templates.TemplateResponse("index.html", context={"request": request})
except FileNotFoundError:
return HTMLResponse(content="<h1>Server Error: index.html not found.</h1>", status_code=500)
def rate_limited(max_calls: int, time_frame:int):
"""
:param max_calls: Maximum number of calls allowed in the specified time frame.
:param time_frame: The time frame (in seconds) for which the limit applies.
:return: Decorator function.
"""
def decorator(func):
calls = []
@wraps(func)
async def wrapper(request: Request, *args, **kwargs):
now = time.time()
calls_in_time_frame = [call for call in calls if call > now - time_frame]
if len(calls_in_time_frame) > max_calls:
raise HTTPException(status_code=status.HTTP_429_TOO_MANY_REQUESTS, detail="Rate limit exceeded.")
calls.append(now)
return await func(request, *args, **kwargs)
return wrapper
return decorator
# --- Routes ---
@app.get("/")
@rate_limited(max_calls=10, time_frame=60)
async def index(request: Request):
"""Serves the main application page by reading index.html."""
return serve_index_html(request)
@app.get("/annotate")
async def annotate(request: Request):
"""Serves the main application page by reading index.html."""
return serve_index_html(request)
@app.post("/upload_audio")
async def upload_audio(request: Request, audio_files: List[UploadFile] = File(...)):
"""Handles multiple audio file uploads from the client."""
global ANNOTATION_DATA, current_index
new_files_count = 0
user_id = request.session.get('_id', None)
# Reset index if this is the first upload
if not ANNOTATION_DATA[user_id]:
current_index[user_id] = 0
for file in audio_files:
# Construct the full path
user_dir = get_user_directory(user_id)
file_path = os.path.join(user_dir, file.filename)
# Save the file to disk
try:
with open(file_path, "wb") as buffer:
# Read the file chunk by chunk to handle large files
shutil.copyfileobj(file.file, buffer)
# Update the annotation data structure
ANNOTATION_DATA[user_id].append({
"filename": file.filename,
"transcription": "", # Initialize transcription as empty,
"speaker": "" # Initialize speaker as empty
})
new_files_count += 1
except Exception as e:
print(f"Error saving file {file.filename}: {e}")
raise HTTPException(status_code=500, detail=f"Failed to save file: {file.filename}")
return JSONResponse({
"message": f"Successfully uploaded {new_files_count} files.",
"total_files": len(ANNOTATION_DATA[user_id])
})
@app.post("/save_annotation")
async def save_annotation(request: Request, data: SaveAnnotationRequest):
"""Saves the transcription for the current index."""
try:
user_id = request.session.get('_id', None)
index_to_save = data.index
if 0 <= index_to_save < len(ANNOTATION_DATA[user_id]):
# Update the transcription text
ANNOTATION_DATA[user_id][index_to_save]["transcription"] = data.transcription
ANNOTATION_DATA[user_id][index_to_save]["speaker"] = data.speaker
return JSONResponse({"success": True, "message": f"Row {index_to_save + 1} saved."})
else:
raise HTTPException(status_code=400, detail="Invalid index for saving.")
except Exception as e:
print(f"Error during save: {e}")
raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
@app.get("/load_audio_data/{direction}")
async def load_audio_data(request: Request, direction: str):
"""Loads the audio data and increments/decrements the current_index."""
global current_index
user_id = request.session.get('_id', None)
if not ANNOTATION_DATA[user_id]:
return JSONResponse(load_data_for_index(user_id, -1))
new_index = current_index[user_id]
max_len = len(ANNOTATION_DATA[user_id])
if direction == 'next':
new_index = (current_index[user_id] + 1) % max_len
elif direction == 'prev':
# Handles wrapping from 0 back to the last index
new_index = (current_index[user_id] - 1 + max_len) % max_len
else:
# 'current' direction is used for initial load or after upload
pass
try:
data = load_data_for_index(user_id, new_index)
# Only update the global index if navigation was successful
current_index[user_id] = new_index
return JSONResponse(data)
except IndexError:
raise HTTPException(status_code=404, detail="No more audio files to load.")
@app.get("/audio_file/{filename}")
async def serve_audio_file(request: Request, filename: str):
"""Streams the requested audio file from the upload directory."""
user_id = request.session.get('_id', None)
user_dir = get_user_directory(user_id)
file_path = os.path.join(user_dir, filename)
if os.path.exists(file_path):
# FileResponse sends the file directly, optimized for binary streams
return FileResponse(file_path, media_type="audio/wav") # Assume WAV for simplicity, use relevant type if required
raise HTTPException(status_code=404, detail="Audio file not found.")
@app.get("/download_annotations")
async def download_annotations(request: Request):
"""Returns the entire annotated dataset as a downloadable JSON file."""
global current_index, ANNOTATION_DATA
user_id = request.session.get('_id', None)
if not ANNOTATION_DATA[user_id]:
raise HTTPException(status_code=404, detail="No annotations available to download.")
user_dir = get_user_directory(user_id)
# Convert the dataset to Dataset
data = {"audio": [], "transcription": [], "speaker": []}
for item in ANNOTATION_DATA[user_id]:
data['audio'].append(os.path.join(user_dir, item['filename']))
data['transcription'].append(item['transcription'])
data['speaker'].append(item['speaker'])
# print(data)
ds = Dataset.from_dict(data).cast_column('audio', Audio(sampling_rate=16000))
dataset_dir = os.path.join(user_dir, 'dataset')
ds.save_to_disk(dataset_dir)
# Write the content to a temporary file
zip_dir = os.path.join(user_dir, 'final')
shutil.make_archive(zip_dir, 'zip', dataset_dir)
# Create a temporary file path
temp_file = f'{zip_dir}.zip'
def cleanup_file():
try:
shutil.rmtree(user_dir)
os.makedirs(user_dir)
except Exception as e:
print(f"Error deleting directory {user_dir}: {e}")
ANNOTATION_DATA[user_id] = []
current_index[user_id] = -1
# Return the file, which will be deleted after being sent
return FileResponse(
path=temp_file,
filename='annotated_data.zip',
media_type="application/zip",
background=BackgroundTask(cleanup_file)
)
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