I encountered an issue while trying to deploy a simple Flask app that utilizes Google Bucket. Upon deployment, I kept getting error 503 - Service Unavailable.
I'm unsure if I missed something crucial or what exactly I might be doing wrong. Any assistance or guidance would be greatly appreciated...
import os
import json
from flask import Flask, render_template, request, jsonify
from google.cloud import storage
app = Flask(__name__)
storage_client = storage.Client.from_service_account_json('/home/hajnyondra/hello-world-1/test22-401315-883f659ea7a6.json')
bucket_name = 'json_uloziste'
BUCKET = storage_client.get_bucket(bucket_name)
received_values = []
pocitac = 0
def create_json(json_object, filename):
blob = BUCKET.blob(filename)
blob.upload_from_string(
data=json.dumps(json_object),
content_type='application/json'
)
result = filename + ' upload complete'
return {'response': result}
def get_json(filename):
blob = BUCKET.get_blob(filename)
file_data = json.loads(blob.download_as_string())
return file_data
@app.route('/')
def hello():
return render_template('index.html')
@app.route('/p', methods=['POST'])
def lol():
global pocitac, received_values
received_data = request.form['data']
print(f'Received data: {received_data}')
if received_data == '777':
pocitac = pocitac + 1
json_data = json.dumps(received_values)
create_json(json_data, "RUN" + str(pocitac))
received_values = []
else:
received_values.append(float(received_data))
return "nazdar"
@app.route('/data', methods=['GET'])
def get_data():
return jsonify(received_values)
if __name__ == '__main__':
app.run(debug=True, host="0.0.0.0", port=int(os.environ.get("PORT", 8080)))
Dockerfile:
# Use the official lightweight Python image.
# https://hub.docker.com/_/python
FROM python:3.11-slim
# Allow statements and log messages to immediately appear in the logs
ENV PYTHONUNBUFFERED True
# Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./
# Install production dependencies.
RUN pip install --no-cache-dir -r requirements.txt
# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 main:app
Requirements:
Flask
requests
gunicorn
google-cloud-storage
debugpy # Required for debugging.
I attempted to adjust versions and Docker configurations, but it resulted in either failed deployments or requests returning 503 errors consistently...