Update warc_wat_url_processor.py
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@ -1,9 +1,9 @@
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import subprocess
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import os
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import gzip
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import re
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import traceback
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from multiprocessing import Pool
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from concurrent.futures import ProcessPoolExecutor, as_completed, wait
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import subprocess
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def extract_urls_from_file(file_path):
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urls = []
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@ -23,6 +23,7 @@ def extract_urls_from_file(file_path):
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return urls
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def process_file(file_path):
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try:
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print(f"Processing file: {file_path}")
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# Extract URLs from the gzipped file
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@ -40,7 +41,11 @@ def process_file(file_path):
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# Use zstd command-line tool for compression
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compressed_file_path = f'{output_file_path}.zst'
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command_compress = f'zstd -T0 -12 --long {output_file_path} -o {compressed_file_path}'
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subprocess.run(command_compress, shell=True)
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# Run the compression command synchronously and wait for it to complete
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compression_process = subprocess.Popen(command_compress, shell=True)
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compression_process.communicate()
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print(f"Compressed file saved as '{compressed_file_path}'")
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# Remove the original gzipped file
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@ -62,30 +67,33 @@ def process_file(file_path):
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else:
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print(f"Failed to remove {filename} from urls_to_download.txt")
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def extract_urls_from_directory(directory_path):
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file_list = sorted(os.listdir(directory_path))
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pool = Pool(processes=7)
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pool.map(process_file, [os.path.join(directory_path, filename) for filename in file_list if filename.endswith('.warc.gz')])
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pool.close()
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pool.join()
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except Exception as e:
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print(f"Error during processing {file_path}: {e}")
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traceback.print_exc()
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with open('urls_to_download.txt', 'r') as file:
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def download_and_process_file(url):
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try:
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command = f'axel -n 4 {url}'
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subprocess.run(command, shell=True)
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file_path = os.path.join(os.getcwd(), os.path.basename(url))
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process_file(file_path)
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except Exception as e:
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print(f"Error during download and processing {url}: {e}")
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def main():
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with open('urls_to_download.txt', 'r') as file:
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urls = file.readlines()
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urls = [url.strip() for url in urls]
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urls = [url.strip() for url in urls]
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batch_size = 48
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concurrency_level = 4
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batches = [urls[i:i+batch_size] for i in range(0, len(urls), batch_size)]
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download_concurrency_level = 4
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for batch in batches:
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pool = Pool(processes=concurrency_level)
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# Start downloading and processing files in parallel
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with ProcessPoolExecutor(max_workers=download_concurrency_level) as executor:
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futures = [executor.submit(download_and_process_file, url) for url in urls]
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for url in batch:
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command = f'axel -n 4 {url}'
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pool.apply_async(subprocess.run, args=(command,), kwds={'shell': True})
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# Wait for all downloads and processing to complete before starting the next iteration
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wait(futures)
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pool.close()
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pool.join()
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extract_urls_from_directory(os.getcwd())
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if __name__ == "__main__":
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main()
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