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# Copyright (c) 2025 Stephen G. Pope
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
from flask import Flask, request
from queue import Queue
from services.webhook import send_webhook
import threading
import uuid
import os
import time
import json
from version import BUILD_NUMBER # Import the BUILD_NUMBER
from app_utils import log_job_status, discover_and_register_blueprints # Import the discover_and_register_blueprints function
from services.gcp_toolkit import trigger_cloud_run_job
MAX_QUEUE_LENGTH = int(os.environ.get('MAX_QUEUE_LENGTH', 0))
def create_app():
app = Flask(__name__)
# Create a queue to hold tasks
task_queue = Queue()
queue_id = id(task_queue) # Generate a single queue_id for this worker
# Function to process tasks from the queue
def process_queue():
while True:
job_id, data, task_func, queue_start_time = task_queue.get()
queue_time = time.time() - queue_start_time
run_start_time = time.time()
pid = os.getpid() # Get the PID of the actual processing thread
# Log job status as running
log_job_status(job_id, {
"job_status": "running",
"job_id": job_id,
"queue_id": queue_id,
"process_id": pid,
"response": None
})
response = task_func()
run_time = time.time() - run_start_time
total_time = time.time() - queue_start_time
response_data = {
"endpoint": response[1],
"code": response[2],
"id": data.get("id"),
"job_id": job_id,
"response": response[0] if response[2] == 200 else None,
"message": "success" if response[2] == 200 else response[0],
"pid": pid,
"queue_id": queue_id,
"run_time": round(run_time, 3),
"queue_time": round(queue_time, 3),
"total_time": round(total_time, 3),
"queue_length": task_queue.qsize(),
"build_number": BUILD_NUMBER # Add build number to response
}
# Log job status as done
log_job_status(job_id, {
"job_status": "done",
"job_id": job_id,
"queue_id": queue_id,
"process_id": pid,
"response": response_data
})
# Only send webhook if webhook_url has an actual value (not an empty string)
if data.get("webhook_url") and data.get("webhook_url") != "":
send_webhook(data.get("webhook_url"), response_data)
task_queue.task_done()
# Start the queue processing in a separate thread
threading.Thread(target=process_queue, daemon=True).start()
# Decorator to add tasks to the queue or bypass it
def queue_task(bypass_queue=False):
def decorator(f):
def wrapper(*args, **kwargs):
job_id = str(uuid.uuid4())
data = request.json if request.is_json else {}
pid = os.getpid() # Get PID for non-queued tasks
start_time = time.time()
# If running inside a GCP Cloud Run Job instance, execute synchronously
if os.environ.get("CLOUD_RUN_JOB"):
# Get execution name from Google's env var
execution_name = os.environ.get("CLOUD_RUN_EXECUTION", "gcp_job")
# Log job status as running
log_job_status(job_id, {
"job_status": "running",
"job_id": job_id,
"queue_id": execution_name,
"process_id": pid,
"response": None
})
# Execute the function directly (no queue)
response = f(job_id=job_id, data=data, *args, **kwargs)
run_time = time.time() - start_time
# Build response object
response_obj = {
"code": response[2],
"id": data.get("id"),
"job_id": job_id,
"response": response[0] if response[2] == 200 else None,
"message": "success" if response[2] == 200 else response[0],
"run_time": round(run_time, 3),
"queue_time": 0,
"total_time": round(run_time, 3),
"pid": pid,
"queue_id": execution_name,
"build_number": BUILD_NUMBER
}
# Log job status as done
log_job_status(job_id, {
"job_status": "done",
"job_id": job_id,
"queue_id": execution_name,
"process_id": pid,
"response": response_obj
})
# Send webhook if webhook_url is provided
if data.get("webhook_url") and data.get("webhook_url") != "":
send_webhook(data.get("webhook_url"), response_obj)
return response_obj, response[2]
if os.environ.get("GCP_JOB_NAME") and data.get("webhook_url"):
try:
overrides = {
'container_overrides': [
{
'env': [
# Environment variables to pass to the GCP Cloud Run Job
{
'name': 'GCP_JOB_PATH',
'value': request.path # Endpoint to call
},
{
'name': 'GCP_JOB_PAYLOAD',
'value': json.dumps(data) # Payload as a string
},
]
}
],
'task_count': 1
}
# Call trigger_cloud_run_job with the overrides dictionary
response = trigger_cloud_run_job(
job_name=os.environ.get("GCP_JOB_NAME"),
location=os.environ.get("GCP_JOB_LOCATION", "us-central1"),
overrides=overrides # Pass overrides to the job
)
if not response.get("job_submitted"):
raise Exception(f"GCP job trigger failed: {response}")
# Extract execution name and short ID for tracking
execution_name = response.get("execution_name", "")
gcp_queue_id = execution_name.split('/')[-1] if execution_name else "gcp_job"
# Prepare the response object
response_obj = {
"code": 200,
"id": data.get("id"),
"job_id": job_id,
"message": response,
"job_name": os.environ.get("GCP_JOB_NAME"),
"location": os.environ.get("GCP_JOB_LOCATION", "us-central1"),
"pid": pid,
"queue_id": gcp_queue_id,
"build_number": BUILD_NUMBER
}
log_job_status(job_id, {
"job_status": "submitted",
"job_id": job_id,
"queue_id": gcp_queue_id,
"process_id": pid,
"response": response_obj
})
return response_obj, 200 # Return 200 since it's a submission success
except Exception as e:
error_response = {
"code": 500,
"id": data.get("id"),
"job_id": job_id,
"message": f"GCP Cloud Run Job trigger failed: {str(e)}",
"job_name": os.environ.get("GCP_JOB_NAME"),
"location": os.environ.get("GCP_JOB_LOCATION", "us-central1"),
"pid": pid,
"queue_id": "gcp_job",
"build_number": BUILD_NUMBER
}
log_job_status(job_id, {
"job_status": "failed",
"job_id": job_id,
"queue_id": "gcp_job",
"process_id": pid,
"response": error_response
})
return error_response, 500
elif bypass_queue or 'webhook_url' not in data:
# Log job status as running immediately (bypassing queue)
log_job_status(job_id, {
"job_status": "running",
"job_id": job_id,
"queue_id": queue_id,
"process_id": pid,
"response": None
})
response = f(job_id=job_id, data=data, *args, **kwargs)
run_time = time.time() - start_time
response_obj = {
"code": response[2],
"id": data.get("id"),
"job_id": job_id,
"response": response[0] if response[2] == 200 else None,
"message": "success" if response[2] == 200 else response[0],
"run_time": round(run_time, 3),
"queue_time": 0,
"total_time": round(run_time, 3),
"pid": pid,
"queue_id": queue_id,
"queue_length": task_queue.qsize(),
"build_number": BUILD_NUMBER # Add build number to response
}
# Log job status as done
log_job_status(job_id, {
"job_status": "done",
"job_id": job_id,
"queue_id": queue_id,
"process_id": pid,
"response": response_obj
})
return response_obj, response[2]
else:
if MAX_QUEUE_LENGTH > 0 and task_queue.qsize() >= MAX_QUEUE_LENGTH:
error_response = {
"code": 429,
"id": data.get("id"),
"job_id": job_id,
"message": f"MAX_QUEUE_LENGTH ({MAX_QUEUE_LENGTH}) reached",
"pid": pid,
"queue_id": queue_id,
"queue_length": task_queue.qsize(),
"build_number": BUILD_NUMBER # Add build number to response
}
# Log the queue overflow error
log_job_status(job_id, {
"job_status": "done",
"job_id": job_id,
"queue_id": queue_id,
"process_id": pid,
"response": error_response
})
return error_response, 429
# Log job status as queued
log_job_status(job_id, {
"job_status": "queued",
"job_id": job_id,
"queue_id": queue_id,
"process_id": pid,
"response": None
})
task_queue.put((job_id, data, lambda: f(job_id=job_id, data=data, *args, **kwargs), start_time))
return {
"code": 202,
"id": data.get("id"),
"job_id": job_id,
"message": "processing",
"pid": pid,
"queue_id": queue_id,
"max_queue_length": MAX_QUEUE_LENGTH if MAX_QUEUE_LENGTH > 0 else "unlimited",
"queue_length": task_queue.qsize(),
"build_number": BUILD_NUMBER # Add build number to response
}, 202
return wrapper
return decorator
app.queue_task = queue_task
# Register special route for Next.js root asset paths first
from routes.v1.media.feedback import create_root_next_routes
create_root_next_routes(app)
# Use the discover_and_register_blueprints function to register all blueprints
discover_and_register_blueprints(app)
return app
app = create_app()
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080) |