Update app.py
Browse files
app.py
CHANGED
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@@ -33,11 +33,12 @@ os.makedirs("results", exist_ok=True)
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templates = Jinja2Templates(directory="templates")
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# --- الگوریتم برش
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def find_split_points(audio_path, sr=24000):
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y, _ = librosa.load(audio_path, sr=sr)
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total_samples = len(y)
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MIN_PREFERRED = 8.0
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MAX_PREFERRED = 12.0
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MIN_HARD = 6.0
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@@ -91,28 +92,46 @@ def find_split_points(audio_path, sr=24000):
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return split_points, y
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async def
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try:
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with
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except Exception as e:
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print(f"
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JOBS = {}
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async def job_manager_task(job_id, source_path, ref_path):
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@@ -120,12 +139,12 @@ async def job_manager_task(job_id, source_path, ref_path):
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JOBS[job_id]["status"] = "processing"
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sr = 24000
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#
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ref_y, _ = librosa.load(ref_path, sr=sr)
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clean_ref_path = f"temp/{job_id}_ref_clean.wav"
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sf.write(clean_ref_path, ref_y, sr)
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# برش
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split_points, y = find_split_points(source_path, sr)
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total_chunks = len(split_points) - 1
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JOBS[job_id]["total_chunks"] = total_chunks
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@@ -146,9 +165,10 @@ async def job_manager_task(job_id, source_path, ref_path):
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chunk_files.append((i, chunk_path, read_start, read_end, start, end))
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worker_url = WORKER_URLS[i % len(WORKER_URLS)]
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# اجرا
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results = []
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for f in asyncio.as_completed(tasks):
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idx, path = await f
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@@ -156,9 +176,9 @@ async def job_manager_task(job_id, source_path, ref_path):
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JOBS[job_id]["completed_chunks"] += 1
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results.append((idx, path))
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else:
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print(f"Chunk {idx} failed completely.")
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# چسباندن
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results.sort(key=lambda x: x[0])
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processed_map = {idx: path for idx, path in results}
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final_audio = []
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@@ -187,10 +207,12 @@ async def job_manager_task(job_id, source_path, ref_path):
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final_audio[-1][-fade_len:] = mixed
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valid_part = valid_part[fade_len:]
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final_audio.append(valid_part)
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except:
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real_len = split_points[i+1] - split_points[i]
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final_audio.append(np.zeros(real_len))
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else:
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real_len = split_points[i+1] - split_points[i]
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final_audio.append(np.zeros(real_len))
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@@ -206,7 +228,7 @@ async def job_manager_task(job_id, source_path, ref_path):
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JOBS[job_id]["status"] = "completed"
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JOBS[job_id]["filename"] = out_filename
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#
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if os.path.exists(clean_ref_path): os.remove(clean_ref_path)
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for _, c_path, _, _, _, _ in chunk_files:
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if os.path.exists(c_path): os.remove(c_path)
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@@ -214,7 +236,7 @@ async def job_manager_task(job_id, source_path, ref_path):
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if os.path.exists(path): os.remove(path)
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except Exception as e:
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print(f"Job failed: {e}")
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JOBS[job_id]["status"] = "failed"
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finally:
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if os.path.exists(source_path): os.remove(source_path)
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@@ -233,6 +255,7 @@ async def create_job(
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job_id = str(uuid.uuid4())
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source_path = f"temp/{job_id}_src.wav"
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ref_path = f"temp/{job_id}_ref.wav"
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with open(source_path, "wb") as b: shutil.copyfileobj(source_audio.file, b)
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with open(ref_path, "wb") as b: shutil.copyfileobj(ref_audio.file, b)
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@@ -242,7 +265,10 @@ async def create_job(
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"completed_chunks": 0,
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"filename": None
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}
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background_tasks.add_task(job_manager_task, job_id, source_path, ref_path)
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return {"job_id": job_id}
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@app.get("/status/{job_id}")
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@@ -255,10 +281,10 @@ def get_status(job_id: str):
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def download_file(filename: str):
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path = f"results/{filename}"
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if os.path.exists(path):
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# اضافه کردن هدر برای اطمینان از پخش صحیح در مرورگر
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return FileResponse(path, filename=filename, media_type="audio/wav")
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return {"error": "File not found"}
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if __name__ == "__main__":
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import uvicorn
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uvicorn
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templates = Jinja2Templates(directory="templates")
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# --- الگوریتم برش ---
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def find_split_points(audio_path, sr=24000):
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y, _ = librosa.load(audio_path, sr=sr)
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total_samples = len(y)
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# تنظیمات برش برای پایداری بیشتر
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MIN_PREFERRED = 8.0
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MAX_PREFERRED = 12.0
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MIN_HARD = 6.0
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return split_points, y
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async def process_chunk_with_retry(worker_url, chunk_path, ref_path, index, job_id, max_retries=3):
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""" تابع ارسال به کارگر با قابلیت تلاش مجدد """
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# افزایش تایماوت به ۶۰۰ ثانیه (۱۰ دقیقه) برای هر تکه
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timeout = aiohttp.ClientTimeout(total=600, connect=60, sock_read=600)
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for attempt in range(max_retries):
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try:
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async with aiohttp.ClientSession(timeout=timeout) as session:
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with open(chunk_path, 'rb') as f_chunk, open(ref_path, 'rb') as f_ref:
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data = aiohttp.FormData()
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# هدرهای صحیح برای جلوگیری از رد شدن درخواست
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data.add_field('source_file', f_chunk, filename='chunk.wav', content_type='audio/wav')
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data.add_field('ref_file', f_ref, filename='ref.wav', content_type='audio/wav')
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async with session.post(worker_url, data=data) as response:
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if response.status == 200:
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result_data = await response.read()
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if len(result_data) < 1000: # چک کردن اینکه فایل خیلی کوچک (احتمالا ارور متنی) نباشد
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print(f"Warning: Chunk {index} returned suspicious small data from {worker_url}")
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out_path = f"temp/{job_id}_part_{index}.wav"
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with open(out_path, 'wb') as f_out:
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f_out.write(result_data)
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return index, out_path
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else:
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# اگر سرور ارور داد (مثلا 500 یا 503)
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print(f"Attempt {attempt+1}/{max_retries} failed for chunk {index} on {worker_url}: Status {response.status}")
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except Exception as e:
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print(f"Attempt {attempt+1}/{max_retries} connection error for chunk {index} on {worker_url}: {e}")
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# اگر خطا خورد، کمی صبر کن و دوباره تلاش کن (Backoff)
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if attempt < max_retries - 1:
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await asyncio.sleep(2 * (attempt + 1))
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print(f"All {max_retries} attempts failed for chunk {index}.")
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return index, None
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# حافظه موقت جابها
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JOBS = {}
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async def job_manager_task(job_id, source_path, ref_path):
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JOBS[job_id]["status"] = "processing"
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sr = 24000
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# آمادهسازی رفرنس
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ref_y, _ = librosa.load(ref_path, sr=sr)
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clean_ref_path = f"temp/{job_id}_ref_clean.wav"
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sf.write(clean_ref_path, ref_y, sr)
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# برش فایل اصلی
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split_points, y = find_split_points(source_path, sr)
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total_chunks = len(split_points) - 1
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JOBS[job_id]["total_chunks"] = total_chunks
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chunk_files.append((i, chunk_path, read_start, read_end, start, end))
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worker_url = WORKER_URLS[i % len(WORKER_URLS)]
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# استفاده از تابع جدید با قابلیت Retry
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tasks.append(process_chunk_with_retry(worker_url, chunk_path, clean_ref_path, i, job_id))
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# اجرای تسکها
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results = []
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for f in asyncio.as_completed(tasks):
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idx, path = await f
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JOBS[job_id]["completed_chunks"] += 1
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results.append((idx, path))
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else:
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print(f"Chunk {idx} failed completely after retries.")
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# چسباندن (Stitching)
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results.sort(key=lambda x: x[0])
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processed_map = {idx: path for idx, path in results}
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final_audio = []
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final_audio[-1][-fade_len:] = mixed
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valid_part = valid_part[fade_len:]
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final_audio.append(valid_part)
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except Exception as e:
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print(f"Stitch error {i}: {e}")
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real_len = split_points[i+1] - split_points[i]
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final_audio.append(np.zeros(real_len))
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else:
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# اگر تکهای کلاً خراب شد، سکوت میگذاریم که تایم کلی به هم نریزد
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real_len = split_points[i+1] - split_points[i]
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final_audio.append(np.zeros(real_len))
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JOBS[job_id]["status"] = "completed"
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JOBS[job_id]["filename"] = out_filename
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# پاکسازی
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if os.path.exists(clean_ref_path): os.remove(clean_ref_path)
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for _, c_path, _, _, _, _ in chunk_files:
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if os.path.exists(c_path): os.remove(c_path)
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if os.path.exists(path): os.remove(path)
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except Exception as e:
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print(f"Job failed fatal: {e}")
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JOBS[job_id]["status"] = "failed"
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finally:
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if os.path.exists(source_path): os.remove(source_path)
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job_id = str(uuid.uuid4())
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source_path = f"temp/{job_id}_src.wav"
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ref_path = f"temp/{job_id}_ref.wav"
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with open(source_path, "wb") as b: shutil.copyfileobj(source_audio.file, b)
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with open(ref_path, "wb") as b: shutil.copyfileobj(ref_audio.file, b)
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"completed_chunks": 0,
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"filename": None
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}
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# اجرای تسک در پسزمینه (حتی اگر کاربر قطع شود ادامه مییابد)
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background_tasks.add_task(job_manager_task, job_id, source_path, ref_path)
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return {"job_id": job_id}
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@app.get("/status/{job_id}")
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def download_file(filename: str):
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path = f"results/{filename}"
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if os.path.exists(path):
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return FileResponse(path, filename=filename, media_type="audio/wav")
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return {"error": "File not found"}
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if __name__ == "__main__":
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import uvicorn
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# افزایش تایماوت خود uvicorn برای اطمینان
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uvicorn.run(app, host="0.0.0.0", port=7860, timeout_keep_alive=300)
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