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from fastapi import APIRouter, WebSocket, WebSocketDisconnect, UploadFile, File, HTTPException
import json
from fastapi.responses import JSONResponse
from lettersControllerS import detectFromImageBytes as detectLetters
from wordsControllerS import detectFromImageBytes as detectWords
from typing import List
from dotenv import load_dotenv
import httpx
import os
os.environ["HF_HOME"] = "/tmp"
os.environ["HUGGINGFACE_HUB_CACHE"] = "/tmp/huggingface_cache"
os.makedirs("/tmp/huggingface_cache", exist_ok=True)
# Ensure these imports are correct
from lettersController import detectFromImage
from wordsController import detectWords
from glossController import translateGloss
router = APIRouter(prefix="/handsUPApi")
class ConnectionManager:
def __init__(self):
self.activeConnections: list[WebSocket] = []
async def connect(self, websocket: WebSocket):
await websocket.accept()
self.activeConnections.append(websocket)
def disconnect(self, websocket: WebSocket):
if websocket in self.activeConnections:
self.activeConnections.remove(websocket)
async def sendJson(self, message: dict, websocket: WebSocket):
await websocket.send_json(message)
manager = ConnectionManager()
@router.websocket("/ws_translate")
async def websocketEndpoint(websocket: WebSocket):
await manager.connect(websocket)
currentFrames = []
model = None
sequenceNum = None
isProcessing = False
isDynamic = False
ignoreCount = 0
stopped = False
try:
while True:
data = await websocket.receive()
if 'text' in data:
msg = json.loads(data['text'])
if msg['type'] == 'start':
if isProcessing:
await manager.sendJson({'error': 'Processing in progress'}, websocket)
continue
currentFrames = []
model = msg['model']
sequenceNum = msg['sequenceNum']
isDynamic = False
ignoreCount = 0
stopped = False
print(f"Started: model={model}, sequenceNum={sequenceNum}")
elif msg['type'] == 'process':
if isProcessing:
await manager.sendJson({'error': 'Processing in progress'}, websocket)
continue
if model in ['alpha', 'num'] and len(currentFrames) not in [1, 2, 10]:
await manager.sendJson({'error': f'Invalid frame count: {len(currentFrames)}'}, websocket)
currentFrames = []
continue
if model == 'glosses' and len(currentFrames) < sequenceNum:
await manager.sendJson({'error': f'Incomplete sequence: expected {sequenceNum}, got {len(currentFrames)}'}, websocket)
currentFrames = []
continue
isProcessing = True
print(f"Processing {len(currentFrames)} frames, model: {model}, isDynamic: {isDynamic}")
await manager.sendJson({'status': 'processing'}, websocket)
if model in ['alpha', 'num']:
result = await detectLetters(currentFrames, websocket, isDynamic)
if result.get('status') == 'waitMoreDynamic':
isDynamic = True
if result.get('status') not in ['waitMore', 'waitMoreDynamic']:
await manager.sendJson(result, websocket)
currentFrames = []
isDynamic = False
ignoreCount = 10 if result.get('letter') in ['J', 'Z'] else 6
await manager.sendJson({'status': 'ready'}, websocket)
elif model == 'glosses':
result = detectWords(currentFrames)
await manager.sendJson(result, websocket)
currentFrames = []
ignoreCount = 10
await manager.sendJson({'status': 'ready'}, websocket)
else:
await manager.sendJson({'error': 'Invalid model'}, websocket)
isProcessing = False
elif msg['type'] == 'stop':
stopped = True
if isProcessing:
await manager.sendJson({'error': 'Processing in progress'}, websocket)
continue
if currentFrames:
isProcessing = True
print(f"Processing {len(currentFrames)} frames on stop, model: {model}, isDynamic: {isDynamic}")
await manager.sendJson({'status': 'processing'}, websocket)
if model in ['alpha', 'num']:
result = await detectLetters(currentFrames, websocket, isDynamic)
if result.get('status') not in ['waitMore', 'waitMoreDynamic']:
await manager.sendJson(result, websocket)
elif model == 'glosses':
result = detectWords(currentFrames)
await manager.sendJson(result, websocket)
currentFrames = []
isDynamic = False
ignoreCount = 0
isProcessing = False
break
elif 'bytes' in data and not isProcessing and not stopped:
if ignoreCount > 0:
ignoreCount -= 1
continue
imageBytes = data['bytes']
currentFrames.append(imageBytes)
if model is not None and sequenceNum is not None and len(currentFrames) > sequenceNum:
currentFrames = currentFrames[-sequenceNum:]
is_about_to_process = False
if model in ['alpha', 'num']:
if (len(currentFrames) == 2 and not isDynamic) or (len(currentFrames) == 10 and isDynamic):
is_about_to_process = True
elif model == 'glosses' and len(currentFrames) >= sequenceNum:
is_about_to_process = True
if not is_about_to_process:
await manager.sendJson({'status': 'collecting'}, websocket)
if model in ['alpha', 'num']:
if len(currentFrames) in [1, 2] or (len(currentFrames) == 10 and isDynamic):
isProcessing = True
print(f"Processing {len(currentFrames)} frames, model: {model}, isDynamic: {isDynamic}")
await manager.sendJson({'status': 'processing'}, websocket)
result = await detectLetters(currentFrames, websocket, isDynamic)
if result.get('status') == 'waitMoreDynamic':
isDynamic = True
if result.get('status') not in ['waitMore', 'waitMoreDynamic']:
await manager.sendJson(result, websocket)
currentFrames = []
isDynamic = False
ignoreCount = 10 if result.get('letter') in ['J', 'Z'] else 6
isProcessing = False
await manager.sendJson({'status': 'ready'}, websocket)
elif model == 'glosses' and len(currentFrames) >= sequenceNum:
isProcessing = True
print(f"Processing {len(currentFrames)} frames, model: {model}, isDynamic: {isDynamic}")
await manager.sendJson({'status': 'processing'}, websocket)
result = detectWords(currentFrames)
await manager.sendJson(result, websocket)
currentFrames = []
ignoreCount = 10
isProcessing = False
await manager.sendJson({'status': 'ready'}, websocket)
except WebSocketDisconnect:
manager.disconnect(websocket)
currentFrames = []
isProcessing = False
isDynamic = False
ignoreCount = 0
stopped = True
async def sendToHF(url: str, frames: List[UploadFile]):
files_to_send = [
('frames', (frame.filename, await frame.read(), frame.content_type))
for frame in frames
]
async with httpx.AsyncClient(timeout=300) as client:
try:
response = await client.post(url, files=files_to_send)
response.raise_for_status()
return response.json()
except httpx.RequestError as e:
print(f"Request error: {e}")
raise HTTPException(status_code=500, detail=str(e))
except httpx.HTTPStatusError as e:
print(f"HTTP error: {e.response.text}")
raise HTTPException(status_code=e.response.status_code, detail=e.response.text)
@router.post("/processLetters")
async def process_letters(frames: List[UploadFile] = File(...)):
"""Processes a sequence of frames to detect sign language letters."""
sequence_num = 20
if len(frames) != sequence_num:
raise HTTPException(status_code=400, detail=f"Exactly {sequence_num} frames are required")
# CRITICAL: Read the binary content of each file
# We will pass a list of image bytes (memory buffers), NOT UploadFile objects.
image_bytes_list = []
try:
for frame in frames:
# frame.file is an async context manager, read() returns bytes
contents = await frame.read()
image_bytes_list.append(contents)
except Exception as e:
# Handle potential file read errors
raise HTTPException(status_code=500, detail=f"Error reading uploaded file contents: {e}")
# Pass the list of image bytes to the controller
result = detectFromImage(image_bytes_list)
return JSONResponse(content=result)
@router.post("/processWords")
async def process_words(frames: List[UploadFile] = File(...)):
"""Processes a sequence of frames to detect sign language words."""
sequence_num = 90
if len(frames) != sequence_num:
raise HTTPException(status_code=400, detail=f"Exactly {sequence_num} frames are required")
# CRITICAL: Read the binary content of each file
image_bytes_list = []
try:
for frame in frames:
contents = await frame.read()
image_bytes_list.append(contents)
except Exception as e:
raise HTTPException(status_code=500, detail=f"Error reading uploaded file contents: {e}")
# Call the imported function directly
result = detectWords(image_bytes_list)
return JSONResponse(content=result)
@router.post("/sentence")
async def sign_sentence(data: dict):
"""Generates a signed sentence from a given gloss."""
gloss_input = data.get("gloss")
if not gloss_input:
raise HTTPException(status_code=400, detail="No gloss provided")
# Call the imported function directly
result = translateGloss(gloss_input)
return JSONResponse(content={"translation": result})
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