personal-data/personal_data/__main__.py

import requests
import requests_cache
import csv
import datetime
import io
import browsercookie
from frozendict import frozendict
import logging
import cfscrape

logger = logging.getLogger(__name__)

import personal_data.fetchers.playstation
import personal_data.fetchers.crunchyroll
import personal_data.fetchers.psnprofiles
import personal_data.data

CSV_DIALECT = 'one_true_dialect'
csv.register_dialect(CSV_DIALECT, lineterminator = '\n', skipinitialspace = True)

def try_value(fn, s: str) -> any:
    try:
        return fn(s)
    except ValueError:
        return None

def to_value(s: str) -> any:
    s = s.strip()
    if len(s) == 0:
        return None
    if v := try_value(int, s):
        return v
    if v := try_value(datetime.date.fromisoformat,s):
        return v
    if v := try_value(datetime.datetime.fromisoformat,s):
        return v
    if s.lower() == 'false':
        return False
    if s.lower() == 'true':
        return True
    if s.lower() == 'none':
        return None
    return s

def extend_csv_file(filename: str, new_dicts: dict, deduplicate_mode: personal_data.data.DeduplicateMode):
    dicts = []
    try:
        with open(filename, 'r') as csvfile:
            reader = csv.DictReader(csvfile, dialect = CSV_DIALECT)
            for row in reader:
                for k in list(row.keys()):
                    row[k] = to_value(row[k])
                    if row[k] is None:
                        del row[k]
                dicts.append(frozendict(row))
            del csvfile
    except FileNotFoundError as e:
        logger.info('Creating file: %s', filename)
        pass

    original_num_dicts = len(dicts)
    dicts += [frozendict(d) for d in new_dicts]
    del new_dicts

    fieldnames = []
    for d in dicts:
        for k in d.keys():
            if k not in fieldnames:
                fieldnames.append(k)
            del k
        del d

    if deduplicate_mode != personal_data.data.DeduplicateMode.NONE:
        dicts = set(dicts)
    dicts = sorted(dicts, key = lambda d: tuple(str(d.get(fn, '')) for fn in fieldnames))

    csvfile_in_memory = io.StringIO()
    writer = csv.DictWriter(csvfile_in_memory, fieldnames=fieldnames, dialect = CSV_DIALECT)
    writer.writeheader()
    for d in dicts:
        writer.writerow(d)
    output_csv = csvfile_in_memory.getvalue()
    del writer, csvfile_in_memory

    with open(filename, 'w') as csvfile:
        csvfile.write(output_csv)
        del csvfile
    logger.warning('Extended CSV "%s" from %d to %d lines', filename, original_num_dicts, len(dicts))

STANDARD_HEADERS = {
        'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64; rv:122.0) Gecko/20100101 Firefox/122.0',
        #"Accept": "application/json, text/plain, */*",
        'Accept-Language': 'en-US,en;q=0.5',
        'Accept-Encoding': 'gzip, deflate, br',
}

def main():
    cookiejar = browsercookie.firefox()
    logger.warning('Got cookiejar from firefox: %s cookies', len(cookiejar))

    #session = requests_cache.CachedSession('web_cache', cookies = cookiejar)
    session = cfscrape.create_scraper()
    for cookie in cookiejar:
        session.cookies.set_cookie(cookie)

    for scraper_cls in personal_data.data.Scraper.__subclasses__():
        scraper = scraper_cls(session)
        del scraper_cls
        logger.warning('Running scraper: %s', scraper.dataset_name)
        result_rows = list()
        for result in scraper.scrape():
            result_rows.append(result)
            del result
        extend_csv_file('output/'+scraper.dataset_name, result_rows,
                        deduplicate_mode = scraper.deduplicate_mode)
        logger.warning('Scraper done: %s', scraper.dataset_name)
        del scraper

if __name__ == '__main__':
    main()