Resubmitting MP3 - deleting fork on Github
Browse files- fchernow.py +112 -0
fchernow.py
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import json
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import re
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import requests
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import gzip
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from urlextract import URLExtract
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from pathlib import Path
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# Define user ID and base URLs for Hugging Face and GitHub
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utid = 'fchernow'
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base = {
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'model': 'https://huggingface.co/',
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'data': 'https://huggingface.co/datasets/',
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'source': 'https://'
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}
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post_hf = '/raw/main/README.md'
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post_gh = '/blob/main/README.md' # or '/blob/master/README.md' if necessary
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# Initialize URL extractor and DOI pattern
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extU = URLExtract()
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DOIpattern = r'\b(10\.\d{4,9}/[-._;()/:A-Z0-9]+)\b'
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# BibTeX pattern to match entries like "@article{...}"
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BibTeXPattern = r'@\w+\{[^}]+\}'
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# Set a timeout for requests (in seconds)
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REQUEST_TIMEOUT = 10
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# Functions to extract URLs, DOIs, and BibTeX entries
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def extractURLs(content):
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return extU.find_urls(content)
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def extractDOIs(content):
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return re.findall(DOIpattern, content, re.IGNORECASE)
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def extractBibTeX(content):
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return re.findall(BibTeXPattern, content, re.DOTALL)
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# Output file for compressed JSON data
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output_path = f"output_data/{utid}.json.gz"
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Path("output_data").mkdir(parents=True, exist_ok=True) # Ensure the directory exists
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# Variable to track the number of successful entries
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successful_entries = 0
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# Open output file for writing
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with gzip.open(output_path, 'wt', encoding='utf-8') as fo:
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def run(tp):
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global successful_entries # Reference the successful_entries variable in the global scope
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# Determine which post suffix to use
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post_suffix = post_hf if tp != 'source' else post_gh
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# Open the input file based on type (model, data, or source)
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with open(f"{utid}_{tp}.txt", 'r') as f:
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line_count = 0 # Track the number of lines processed
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for line in f:
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line = line.strip()
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if not line:
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continue
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# Handle GitHub entries in 'source'
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if tp == 'source':
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if ';' in line:
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npapers, line = line.split(';')
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else:
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continue
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# Construct the full URL for README retrieval
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url = base[tp] + f"{line}{post_suffix}"
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# Fetch README content with timeout
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try:
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r = requests.get(url, timeout=REQUEST_TIMEOUT)
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r.raise_for_status()
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content = r.text
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status = "success"
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except requests.RequestException:
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content = ""
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status = "failed"
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# Extract URLs, DOIs, and BibTeX entries from the README content
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urls = extractURLs(content)
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dois = extractDOIs(content)
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bibs = extractBibTeX(content)
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# Write the entry to output file, regardless of status
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res = {
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'id': line,
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'type': tp,
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'url': url,
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'content': content.replace("\n", " ") if content else "",
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'links': urls,
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'dois': dois,
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'bibs': bibs,
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'status': status
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}
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out = json.dumps(res, ensure_ascii=False)
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fo.write(out + "\n")
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# If the entry was successful, increment the counter
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if status == "success":
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successful_entries += 1
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line_count += 1
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print(f"Processed {line_count} lines in {tp} file.")
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# Run for each type: model, data, and source
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run('model')
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run('data')
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run('source')
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print(f"Data successfully saved to {output_path} with {successful_entries} successful entries.")
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