personal-data/personal_data/__init__.py

import csv
import datetime
import io
import logging

import browsercookie
import requests
import requests_cache
from frozendict import frozendict

try:
    import cfscrape
except Exception:
    cfscrape = None

logger = logging.getLogger(__name__)

import personal_data.data
import personal_data.fetchers.crunchyroll
import personal_data.fetchers.ffxiv_lodestone
import personal_data.fetchers.playstation
import personal_data.fetchers.psnprofiles
from personal_data._version import __version__

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

logging.basicConfig()
logger.setLevel('INFO')

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',
}

class CachedCfScrape(requests_cache.CacheMixin, cfscrape.CloudflareScraper):
    pass

def get_session(cookiejar, *, with_cfscrape: bool) -> requests.Session:
    assert isinstance(with_cfscrape, bool)
    session = CachedCfScrape('web_cache', cookies=cookiejar)
    for cookie in cookiejar:
        session.cookies.set_cookie(cookie)
    return session


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

    scraper_filter = {'PsnProfilesScraper'}

    for scraper_cls in personal_data.data.Scraper.__subclasses__():
        session = get_session(cookiejar, with_cfscrape=scraper_cls.requires_cfscrape())
        scraper = scraper_cls(session)
        if scraper_cls.__name__ not in scraper_filter:
            continue
        logger.warning(
            'Running %s, appending to "%s"',
            scraper_cls.__name__,
            scraper.dataset_name,
        )
        result_rows = list()
        try:
            for result in scraper.scrape():
                result_rows.append(result)
                del result
        except requests.exceptions.HTTPError:
            logger.exception('Failed in running %s', scraper_cls.__name__)
            continue
        extend_csv_file(
            'output/' + scraper.dataset_name,
            result_rows,
            deduplicate_mode=scraper.deduplicate_mode,
        )
        logger.warning('Scraper done: %s', scraper.dataset_name)
        del scraper, session