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import pika
import json
from flask import Flask, request, jsonify
from flask_cors import CORS
import boto3
import tempfile
import os
import base64
import cv2
import numpy as np
app = Flask(__name__)
CORS(app)
s3 = boto3.client('s3')
BUCKET_NAME_ORIGINAL = "original-images-allowing-griffon"
BUCKET_NAME_PROCESSED = "processed-images-allowing-griffon"
def allowed_file(filename):
return '.' in filename and filename.rsplit('.', 1)[1].lower() in {'png', 'jpg', 'jpeg'}
def split_image(image_data, num_parts):
img = cv2.imdecode(np.frombuffer(image_data, np.uint8), cv2.IMREAD_COLOR)
height, width, _ = img.shape
part_height = height // num_parts
parts = []
for i in range(num_parts):
part_img = img[i * part_height: (i + 1) * part_height if i != num_parts - 1 else height, :, :]
_, buffer = cv2.imencode('.png', part_img)
part_data = buffer.tobytes()
parts.append(part_data)
return parts, width, height, part_height
def publish_task(part_data, filename, part_num, operation, callback_queue):
connection = pika.BlockingConnection(pika.ConnectionParameters('<rabbit-mq-server-public-ip'))
channel = connection.channel()
channel.queue_declare(queue='image_tasks')
task = {
'part_data': base64.b64encode(part_data).decode('utf-8'),
'filename': filename,
'part_num': part_num,
'operation': operation,
'callback_queue': callback_queue
}
channel.basic_publish(exchange='', routing_key='image_tasks', body=json.dumps(task))
connection.close()
print(f"Published task for part {part_num}")
def merge_parts(filename, num_parts, width, height, part_height):
merged_img = np.zeros((height, width, 3), dtype=np.uint8)
for i in range(num_parts):
part_key = f"{filename}_part_{i}"
part_obj = s3.get_object(Bucket=BUCKET_NAME_PROCESSED, Key=part_key)
part_data = part_obj['Body'].read()
part_img = cv2.imdecode(np.frombuffer(part_data, np.uint8), cv2.IMREAD_COLOR)
if part_img is None:
print(f"Failed to decode part {i}")
continue
start_row = i * part_height
end_row = (i + 1) * part_height if i != num_parts - 1 else height
merged_img[start_row:end_row, :, :] = part_img
merged_filename = f"processed_{filename}"
_, buffer = cv2.imencode('.jpg', merged_img)
merged_data = buffer.tobytes()
with tempfile.NamedTemporaryFile(delete=False) as temp_file:
temp_file.write(merged_data)
temp_file.seek(0) # Ensure the file pointer is at the beginning
s3.put_object(Bucket=BUCKET_NAME_PROCESSED, Key=merged_filename, Body=temp_file.read(), ContentType="image/jpg")
os.remove(temp_file.name)
return merged_filename
@app.route('/health', methods=['GET'])
def health_check():
return jsonify({'status': 'ok'}), 200
@app.route('/upload', methods=['POST'])
def upload_file():
if 'image' not in request.files:
return jsonify({'error': 'No file provided'}), 400
file = request.files['image']
operation = request.form.get('operation', 'edge_detection')
num_parts = int(request.form.get('num_parts', 8)) # Default to 4 parts
if file and allowed_file(file.filename):
temp_file = tempfile.NamedTemporaryFile(delete=False)
file.save(temp_file.name)
with open(temp_file.name, "rb") as img_data:
s3.put_object(Bucket=BUCKET_NAME_ORIGINAL, Key=file.filename, Body=img_data, ContentType="image/png")
original_img_obj = s3.get_object(Bucket=BUCKET_NAME_ORIGINAL, Key=file.filename)
original_img_data = original_img_obj['Body'].read()
parts, width, height, part_height = split_image(original_img_data, num_parts)
callback_queue = f"{file.filename}_callback"
# Declare callback queue
connection = pika.BlockingConnection(pika.ConnectionParameters('<rabbit-mq-server-public-ip'))
channel = connection.channel()
channel.queue_declare(queue=callback_queue)
connection.close()
for i, part_data in enumerate(parts):
publish_task(part_data, file.filename, i, operation, callback_queue)
os.remove(temp_file.name)
# Wait for completion notifications
def on_completion(ch, method, properties, body):
nonlocal num_parts_processed
num_parts_processed += 1
print(f"Part {num_parts_processed} received")
if num_parts_processed == num_parts:
merged_filename = merge_parts(file.filename, num_parts, width, height, part_height)
processed_file_url = f'https://{BUCKET_NAME_PROCESSED}.s3.amazonaws.com/{merged_filename}'
ch.stop_consuming()
response_queue.put(processed_file_url)
import queue
response_queue = queue.Queue()
num_parts_processed = 0
connection = pika.BlockingConnection(pika.ConnectionParameters('<rabbit-mq-server-public-ip'))
channel = connection.channel()
channel.basic_consume(queue=callback_queue, on_message_callback=on_completion, auto_ack=True)
channel.start_consuming()
processed_file_url = response_queue.get()
return jsonify({'message': 'File processed and uploaded successfully', 'processed_file': processed_file_url}), 200
else:
return jsonify({'error': 'Invalid file type'}), 400
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000)
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