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refactor(mkbsd.py): switch from requests to aiohttp for async operations to improve performance and non-blocking I/O
feat(mkbsd.py): add asyncio for concurrent downloads and improve download speed chore(requirements.txt): add aiohttp dependency for async HTTP requests
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mkbsd.py
70
mkbsd.py
@ -1,28 +1,30 @@
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import argparse
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import asyncio
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import json
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import multiprocessing as mp
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import os
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import re
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import time
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import zipfile
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from collections import defaultdict
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from concurrent.futures import ThreadPoolExecutor
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from urllib.parse import unquote
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import aiohttp
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import imagehash
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import requests
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from PIL import Image
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# python mkbsd.py [--zip] [--zip-name CUSTOM_NAME] [--remove-duplicates]
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def fetch_json_data(url):
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response = requests.get(url)
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if response.status_code == 200:
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return response.json()
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else:
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raise Exception(
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f"Failed to fetch JSON data. Status code: {response.status_code}"
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)
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async def fetch_json_data(url):
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async with aiohttp.ClientSession() as session:
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async with session.get(url) as response:
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if response.status == 200:
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text = await response.text()
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try:
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return json.loads(text)
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except json.JSONDecodeError:
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raise Exception(f"Failed to parse JSON data from {url}")
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else:
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raise Exception(f"Failed to fetch data. Status code: {response.status}")
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def extract_urls(element):
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@ -39,19 +41,27 @@ def extract_urls(element):
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return urls
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def download_file(url):
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async def download_file(session, url):
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file_name = os.path.basename(unquote(url.split("?")[0]))
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file_name = clean_filename(file_name)
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file_path = os.path.join("downloads", file_name)
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if not os.path.exists(file_path):
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print(f"Downloading {url}")
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response = requests.get(url, stream=True)
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with open(file_path, "wb") as f:
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for chunk in response.iter_content(chunk_size=8192):
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f.write(chunk)
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try:
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async with session.get(url) as response:
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if response.status == 200:
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with open(file_path, "wb") as f:
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while True:
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chunk = await response.content.read(8192)
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if not chunk:
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break
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f.write(chunk)
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return f"Downloaded: {file_name}"
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else:
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return f"Failed to download {file_name}: HTTP {response.status}"
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except Exception as e:
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return f"Error downloading {file_name}: {str(e)}"
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else:
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print(f"Skipping {url}")
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return file_path
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return f"Skipped (already exists): {file_name}"
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def clean_filename(filename):
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@ -120,7 +130,7 @@ def remove_duplicates(duplicates):
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print(f"Error removing duplicate: {e}")
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def main():
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async def main():
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parser = argparse.ArgumentParser(
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description="Download images from JSON data and remove duplicates."
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)
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@ -141,7 +151,7 @@ def main():
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json_url = "https://storage.googleapis.com/panels-cdn/data/20240730/all.json"
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try:
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json_data = fetch_json_data(json_url)
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json_data = await fetch_json_data(json_url)
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except Exception as e:
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print(f"Error: {e}")
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return
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@ -152,8 +162,16 @@ def main():
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if not os.path.exists("downloads"):
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os.makedirs("downloads")
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with ThreadPoolExecutor(max_workers=10) as executor:
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executor.map(download_file, urls)
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start_time = time.time()
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async with aiohttp.ClientSession() as session:
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tasks = [download_file(session, url) for url in urls]
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for batch in [tasks[i : i + 50] for i in range(0, len(tasks), 50)]:
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results = await asyncio.gather(*batch)
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for result in results:
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print(result)
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end_time = time.time()
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print(f"Download completed in {end_time - start_time:.2f} seconds")
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if args.remove_duplicates:
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print("Searching for duplicate images...")
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@ -172,4 +190,4 @@ def main():
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if __name__ == "__main__":
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main()
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asyncio.run(main())
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@ -1 +1,2 @@
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imagehash
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imagehash
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aiohttp
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