validate_commit.py

import csv
import glob
import json
import re
import requests
import sys
import time
import urllib.parse
allowed_files = ['csrankings-[a-z0].csv', 'country-info.csv', 'old/industry.csv', 'old/other.csv', 'old/emeritus.csv', 'old/rip.csv']

def translate_name_to_dblp(name: str) -> str:
    """
    Converts a given name to a DBLP URL.

    Args:
        name: A string containing the name to be converted.

    Returns:
        A string containing the DBLP URL representation of the name.
    """
    # Replace spaces and non-ASCII characters.
    # removes periods
    name = re.sub('\\.', '', name)
    # replaces '-' with ' ' to cope with DBLP search API issue (disabled negation operator)
    name = re.sub('-', ' ', name)
    # encodes diacritics
    name = urllib.parse.quote(name, safe='=')
    # replaces '&' with '='
    name = re.sub('&', '=', name)
    # replaces ';' with '='
    name = re.sub(';', '=', name)
    split_name = name.split(' ')
    last_name = split_name[-1]
    disambiguation = ''
    # Handle disambiguation entries.
    try:
        if int(last_name) > 0:
            disambiguation = last_name
            split_name.pop()
            last_name = split_name[-1] + '_' + disambiguation
    except:
        pass
    # Consolidate name and replace spaces with underscores.
    split_name.pop()
    new_name = ' '.join(split_name)
    new_name = new_name.replace(' ', '_')
    new_name = new_name.replace('-', '=')
    new_name = urllib.parse.quote(new_name)
    str_ = ''
    # str_ = "https://dblp.org/pers/hd"
    last_initial = last_name[0].lower()
    str_ += f'{last_name}:{new_name}'
    # str_ += f'/{last_initial}/{last_name}:{new_name}'
    # return the DBLP URL containing the given name
    return str_

def is_valid_account(account: str) -> bool:
    return not account.startswith('anonymous')

def has_reasonable_title(title):
    # Check if the title is reasonable
    return not title.startswith('Update csrankings-')

# Use richer headers to avoid 403 errors.
# From https://scrapeops.io/web-scraping-playbook/403-forbidden-error-web-scraping.
HEADERS = {
        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
        "Accept-Language": "en-US,en;q=0.5",
        "Accept-Encoding": "gzip, deflate",
        "Connection": "keep-alive",
        "Upgrade-Insecure-Requests": "1",
        "Sec-Fetch-Dest": "document",
        "Sec-Fetch-Mode": "navigate",
        "Sec-Fetch-Site": "none",
        "Sec-Fetch-User": "?1",
        "Cache-Control": "max-age=0",
    }

def has_valid_homepage(homepage: str) -> bool:
    try:
        response = requests.get(homepage, headers=HEADERS, timeout=15)
        if response.status_code != 200:
            print(f'  WARNING: Received error code {response.status_code}.')
        return response.status_code == 200
    except requests.exceptions.RequestException:
        return False

def has_valid_google_scholar_id(id):
    # Check if the Google Scholar ID is valid
    if id == 'NOSCHOLARPAGE':
        return True
    # Define the regular expression pattern for valid IDs
    pattern = '^[a-zA-Z0-9_-]{12}$'
    # Check if the ID matches the pattern
    return re.match(pattern, id)


def matching_name_with_dblp(name: str) -> int:
    """
    Check if a name matches a DBLP entry and return the number of completions.

    Args:
        name: A string representing the name to check.

    Returns:
        An integer representing the number of completions. 1 indicates an exact match.

    """
    # Translate the name to a format that can be used in DBLP queries.
    author_name = translate_name_to_dblp(name)
    # Search for up to 10 matching authors.
    dblp_url = f'https://dblp.org/search/author/api?q=author%3A{author_name}$%3A&format=json&c=10'
    try:
        # Send a request to the DBLP API.
        response = requests.get(dblp_url)
        # Extract the number of completions from the JSON response.
        if "<title>429 Too Many Requests</title>" in response.text:
            # wait for a few seconds and try again
            time.sleep(10)
            return matching_name_with_dblp(name)
        j = json.loads(response.text)
        completions = int(j['result']['completions']['@total'])
        # Print a message if there is a match.
        if completions != 0:
            print(f'  Checking {dblp_url}')
            # Check for an exact name match
            if completions > 0:
                for hit in j['result']['hits']['hit']:
                    if hit['info']['author'] == name:
                        return 1
        return completions
    except requests.exceptions.RequestException as e:
        # Handle any exceptions that occur during the request.
        print(f'ERROR: Exception: {e}')
        return 0

def is_valid_file(file: str) -> bool:
    global allowed_files
    if re.match('.*\\.csv', file):
        if not any((re.match(pattern, file) for pattern in allowed_files)):
            return False
    return True

def process():

    # Read in the institutions dictionary.
    institutions = {}
    with open('institutions.csv', 'r') as f:
        reader = csv.DictReader(f)
        for row in reader:
            institutions[row['institution']] = True
    
    # Read in the argument JSON file.
    json_file = sys.argv[1]
    with open(json_file, 'r') as f:
        json_data = f.read()
    data = json.loads(json_data)
    changed_lines = {}
    for d in data['files']:
        try:
            file_path = d['path']
            changed_lines[file_path] = []
            for chunk in d['chunks']:
                for change in chunk['changes']:
                    if change['type'] == 'AddedLine':
                        changed_lines[file_path].append(change)
        except:
            # Gracefully handle misformed / empty JSON.
            pass
    # Now process the diffs.
    valid = True
    line_valid = True
    print('Sanity checking the commit. Please check any issues raised here.')
    # Pick arbitrary thresholds; if there are more than this many diffs,
    # it is probably because of some line ending mismatch or editing with Excel.
    remaining_diffs = 50
    # TO DO: check deleted lines to see if home page still valid
    # or if moved to another file
    for file in changed_lines:
        if not is_valid_file(file):
            print(f'ERROR: Invalid file modification ({file}). Please only modify allowed CSV files.')
            valid, line_valid = (False, False)
            break
        # Check if we are processing a `csrankings-?.csv` file.
        matched = re.match('csrankings-([a-z0])\\.csv', file)
        if matched:
            the_letter = matched.groups(0)[0]
            for l in changed_lines[file]:
                line_valid = True
                remaining_diffs -= 1
                if remaining_diffs <= 0:
                    print('ERROR: This PR has too many diffs. Something probably went wrong.')
                    valid, line_valid = (False, False)
                    break
                line = l['content'].strip()
                print(f'Processing {line}')
                if re.search(',\\s', line):
                    print(f'  ERROR: Found a space after a comma ({line}). Please ensure there are no spaces after commas.')
                    valid, line_valid = (False, False)
                    continue
                try:
                    name, affiliation, homepage, scholarid = line.split(',')
                    # Verify that the affiliation is already in the database
                    if affiliation not in institutions:
                        print(f'  ERROR: This institution ({affiliation}) was not found in `institutions.csv`.')
                        valid, line_valid = (False, False)
                    # Verify that entry is in the correct file.
                    if name[0].lower() != the_letter and the_letter != '0':
                        print(f'  ERROR: This entry is in the wrong file. It is in `csrankings-{the_letter}.csv` but should be in `csrankings-{name[0].lower()}.csv`.')
                        valid, line_valid = (False, False)
                    # Check Google Scholar ID.
                    # print(f"  Checking Google Scholar ID ({scholarid})")
                    if not has_valid_google_scholar_id(scholarid):
                        print(f'  ERROR: Invalid Google Scholar ID ({scholarid}). Please provide a valid identifier.')
                        valid = False
                    # Check name against DBLP.
                    completions = matching_name_with_dblp(name)
                    if completions == 0:
                        print(f'  ERROR: Invalid name ({name}). Please ensure it matches the DBLP entry.')
                        valid, line_valid = (False, False)
                    elif completions > 1:
                        print(f'  WARNING: Possibly invalid name ({name}). This may be a disambiguation entry.')
                        valid, line_valid = (False, False)
                    # Test the homepage.
                    print(f"  Checking homepage URL ({homepage})")
                    if not has_valid_homepage(homepage):
                        print(f'  WARNING: Invalid homepage URL ({homepage}). Please provide a correct URL.')
                        valid, line_valid = (False, False)
                    # TODO:
                    # - verify that new entry is in alphabetical order
                    # - warn if there is an affiliation mismatch with DBLP
                    # - warn if there is a home page mismatch with DBLP
                    if line_valid:
                        pass
                    else:
                        # print(f"All tests passed for {name}.")
                        print(f'***Test failure for {name}***.')
                except Exception as e:
                    print(f'Processing failed ({e}).')
                    valid, line_valid = (False, False)
    if valid:
        sys.exit(0)
    else:
        sys.exit(-1)
if __name__ == '__main__':
    process()