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mediafire_cdxprocessor.py
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134
mediafire_cdxprocessor.py
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import os
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import subprocess
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from concurrent.futures import ThreadPoolExecutor
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import json
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from datetime import datetime
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MEDIAFIRE_DIRECTORY = "/opt/MediaFire"
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CONCURRENCY = 4 # Set the desired concurrency for downloading multiple files
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BATCH_SIZE = 6 # Set the batch size for processing
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def run_cdxsummary(file_path, json_filepath):
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# Construct the cdxsummary command
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cdxsummary_command = f"cdxsummary --json {file_path}"
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try:
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# Run the cdxsummary command and capture the output
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result = subprocess.run(cdxsummary_command, shell=True, capture_output=True, text=True, check=True)
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# Parse the JSON output
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json_output = json.loads(result.stdout)
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# Remove "pathquery" and "samples" keys
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if "pathquery" in json_output:
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del json_output["pathquery"]
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if "samples" in json_output:
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del json_output["samples"]
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# Write the JSON output to a file if it doesn't exist
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with open(json_filepath, "w") as json_file:
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json.dump(json_output, json_file, indent=2)
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print(f"Created JSON file for '{file_path}': '{json_filepath}'")
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# Delete the .cdx.gz file
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os.remove(file_path)
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print(f"Deleted '{file_path}' after processing.")
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except subprocess.CalledProcessError as e:
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print(f"Error running cdxsummary command: {e}")
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def download_file(url):
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command = f'axel -n 1 {url}' # Set concurrency to 1 for each individual file
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subprocess.run(command, shell=True)
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# Return the downloaded file path
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return os.path.basename(url)
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def download_files(urls):
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with ThreadPoolExecutor(max_workers=CONCURRENCY) as executor:
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# Use map to get the file paths
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downloaded_files = list(executor.map(download_file, urls))
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return downloaded_files
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def process_batch(urls, start_index, end_index):
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# Extract batch of URLs
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batch_urls = urls[start_index:end_index]
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print("\nDownloading Batch...\n")
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# Download files concurrently
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downloaded_files = download_files(batch_urls)
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# Move files and run cdxsummary for each downloaded file
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for file_path in downloaded_files:
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# Construct file paths
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file_path = os.path.join(os.getcwd(), file_path)
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json_filepath = os.path.join(MEDIAFIRE_DIRECTORY, file_path.replace(".cdx.gz", ".cdx.json"))
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# Run cdxsummary and delete .cdx.gz file
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run_cdxsummary(file_path, json_filepath)
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def run_ia_command():
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# Get the current date formatted as YYYY-MM-DD
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current_date = datetime.now().strftime("%Y-%m-%d")
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# Replace archiveteam_telegram with archiveteam_mediafire
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ia_search_command = f"ia search 'collection:archiveteam_mediafire addeddate:[{current_date}]' --itemlist"
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# Output file for ia search results
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output_file = "ia_search_results.txt"
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try:
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# Run the ia search command and write the output to a text file
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with open(output_file, "w") as output:
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subprocess.run(ia_search_command, shell=True, stdout=output, check=True)
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# Read the file, append a "/" and duplicate the item name with .cdx.gz extension
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with open(output_file, "r") as input_file:
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lines = input_file.readlines()
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lines = [f"https://archive.org/download/{line.strip()}/{line.strip()}.cdx.gz\n" for line in lines]
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# Write the modified lines back to the file
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with open(output_file, "w") as output_file:
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output_file.writelines(lines)
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print(f"IA search results written to '{output_file}' with URLs appended.")
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except subprocess.CalledProcessError as e:
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print(f"Error running IA search command: {e}")
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def create_mediafire_directory():
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if not os.path.exists(MEDIAFIRE_DIRECTORY):
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os.makedirs(MEDIAFIRE_DIRECTORY)
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def move_file(source_path):
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file_name = os.path.basename(source_path)
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destination_path = os.path.join(MEDIAFIRE_DIRECTORY, file_name.replace(".cdx.gz", ".cdx.json"))
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# Check if the file has a ".cdx.gz" extension before moving
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if file_name.endswith(".cdx.gz"):
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print(f"Skipping move for JSON file '{file_name}'.")
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else:
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os.rename(source_path, destination_path)
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print(f"Moved '{file_name}' to the root folder.")
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def main():
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run_ia_command() # Run IA command first
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create_mediafire_directory()
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# Read the URLs from the file
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with open('ia_search_results.txt', 'r') as file:
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urls = file.readlines()
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# Remove leading/trailing whitespace from the URLs
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urls = [url.strip() for url in urls]
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# Process URLs in batches
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for i in range(0, len(urls), BATCH_SIZE):
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start_index = i
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end_index = min(i + BATCH_SIZE, len(urls))
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process_batch(urls, start_index, end_index)
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if __name__ == "__main__":
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main()
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