Merge branch 'feat'

This commit is contained in:
LeoMortari
2025-11-12 11:43:49 -03:00
31 changed files with 3263 additions and 133 deletions

110
main.py
View File

@@ -1,103 +1,31 @@
import os
import pika
import json
import time
from components.video import process_full_video
import warnings
RABBITMQ_HOST = os.environ.get('RABBITMQ_HOST', 'rabbitmq')
RABBITMQ_PORT = int(os.environ.get('RABBITMQ_PORT', 5672))
RABBITMQ_USER = os.environ.get('RABBITMQ_USER', 'admin')
RABBITMQ_PASS = os.environ.get('RABBITMQ_PASS')
RABBITMQ_QUEUE = os.environ.get('RABBITMQ_QUEUE', 'to-render')
RABBITMQ_UPLOAD_QUEUE = os.environ.get('RABBITMQ_UPLOAD_QUEUE', 'to-upload')
# Suppress FFmpeg/AV1 warnings for cleaner logs
os.environ['OPENCV_FFMPEG_CAPTURE_OPTIONS'] = 'loglevel;quiet'
os.environ['OPENCV_LOG_LEVEL'] = 'ERROR'
if not RABBITMQ_PASS:
raise RuntimeError("RABBITMQ_PASS não definido no ambiente")
# Suppress MoviePy verbose logging
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = '1'
def get_next_message():
credentials = pika.PlainCredentials(RABBITMQ_USER, RABBITMQ_PASS)
parameters = pika.ConnectionParameters(
host=RABBITMQ_HOST,
port=RABBITMQ_PORT,
credentials=credentials,
heartbeat=60,
blocked_connection_timeout=300
)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
method_frame, header_frame, body = channel.basic_get(RABBITMQ_QUEUE)
if method_frame:
channel.basic_ack(method_frame.delivery_tag)
connection.close()
return body
else:
connection.close()
return None
# Filter deprecation warnings
warnings.filterwarnings('ignore', category=DeprecationWarning)
warnings.filterwarnings('ignore', category=UserWarning, module='moviepy')
def publish_to_queue(payload):
credentials = pika.PlainCredentials(RABBITMQ_USER, RABBITMQ_PASS)
parameters = pika.ConnectionParameters(
host=RABBITMQ_HOST,
port=RABBITMQ_PORT,
credentials=credentials,
heartbeat=60,
blocked_connection_timeout=300
)
connection = pika.BlockingConnection(parameters)
channel = connection.channel()
channel.queue_declare(queue=RABBITMQ_UPLOAD_QUEUE, durable=True)
channel.basic_publish(
exchange='',
routing_key=RABBITMQ_UPLOAD_QUEUE,
body=json.dumps(payload),
properties=pika.BasicProperties(
delivery_mode=2, # persistente
)
)
connection.close()
from video_render.config import load_settings
from video_render.logging_utils import setup_logging
from video_render.messaging import RabbitMQWorker
from video_render.pipeline import VideoPipeline
def main():
print(' [*] Esperando mensagens. Para sair: CTRL+C')
while True:
body = get_next_message()
if body is None:
time.sleep(5)
continue
try:
data = json.loads(body)
filename = data.get("filename")
times = data.get("times", [])
url = data.get("url")
video_id = data.get("videoId")
print(f"Processando vídeo: {filename}")
def main() -> None:
setup_logging()
settings = load_settings()
processed_files = process_full_video(filename, times)
pipeline = VideoPipeline(settings)
worker = RabbitMQWorker(settings)
worker.consume_forever(pipeline.process_message)
payload = {
"videosProcessedQuantity": len(processed_files),
"filename": filename,
"processedFiles": processed_files,
"url": url,
"videoId": video_id,
"error": False,
}
except Exception as e:
payload = {
"videosProcessedQuantity": 0,
"filename": filename if 'filename' in locals() else None,
"processedFiles": [],
"url": url if 'url' in locals() else None,
"videoId": video_id if 'video_id' in locals() else None,
"error": str(e),
}
print(f"Erro no processamento: {e}")
try:
publish_to_queue(payload)
print(f"Mensagem publicada na fila '{RABBITMQ_UPLOAD_QUEUE}'.")
except Exception as publish_err:
print(f"Erro ao publicar na fila '{RABBITMQ_UPLOAD_QUEUE}': {publish_err}")
if __name__ == "__main__":
main()