PSN Profiles

README.md

@@ -0,0 +1,11 @@
+
+# Personal Data Fetcher Systems
+
+This is a collection of small fetchers for personal data spread around the internet.
+
+## Ideas for more fetchers
+
+- [ ] Save data for Theatherythm: Most played songs, and liked songs.
+- [ ] YouTube (Music): Liked videos with title and URL.
+- [ ] Playstation: Achivement dates, hours played and last played dates
+

personal_data/__main__.py

@@ -7,16 +7,19 @@ 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
 
 def determine_scrapers():
     scrapers = []
     #scrapers += personal_data.fetchers.playstation.SCRAPERS
-    scrapers += personal_data.fetchers.crunchyroll.SCRAPERS
+    #scrapers += personal_data.fetchers.crunchyroll.SCRAPERS
+    scrapers += personal_data.fetchers.psnprofiles.SCRAPERS
     return scrapers
 
 def extend_csv_file(filename, new_dicts, deduplicate = False):
@@ -31,10 +34,15 @@ def extend_csv_file(filename, new_dicts , deduplicate = False):
         logger.info('Creating file: %s', filename)
         pass
 
+    original_num_dicts = len(dicts)
     dicts += [frozendict(d) for d in new_dicts]
     del new_dicts
 
-    fieldnames = list(dicts[0].keys())
+    fieldnames = []
+    for d in dicts:
+        for k in d.keys():
+            if k not in fieldnames:
+                fieldnames.append(k)
 
     if deduplicate:
         dicts = sorted(set(dicts), key = lambda d: d[fieldnames[0]])
@@ -50,10 +58,11 @@ def extend_csv_file(filename, new_dicts , deduplicate = False):
     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": "application/json, text/plain, */*",
         'Accept-Language': 'en-US,en;q=0.5',
         'Accept-Encoding': 'gzip, deflate, br',
 }
@@ -62,15 +71,20 @@ def main():
     cookiejar = browsercookie.firefox()
     logger.warning('Got cookiejar from firefox: %s cookies', len(cookiejar))
 
-    session = requests_cache.CachedSession('web_cache', cookies = cookiejar)
+    #session = requests_cache.CachedSession('web_cache', cookies = cookiejar)
+    session = cfscrape.create_scraper()
     for cookie in cookiejar:
         session.cookies.set_cookie(cookie)
 
     for scraper in determine_scrapers():
         logger.warning('Running scraper: %s', scraper.dataset_name)
-        result_rows = list(scraper.scraper(session))
+        result_rows = list()
+        for result in scraper.scraper(session):
+            result_rows.append(result)
+            del result
         extend_csv_file('output/'+scraper.dataset_name, result_rows,
                         deduplicate = scraper.deduplicate)
+        logger.warning('Scraper done: %s', scraper.dataset_name)
 
 if __name__ == '__main__':
     main()

personal_data/fetchers/psnprofiles.py

@@ -0,0 +1,113 @@
+import secrets
+import functools
+import re
+import logging
+import bs4
+import datetime
+
+from personal_data.data import Scraper
+import personal_data.html_util
+import personal_data.parse_util
+
+logger = logging.getLogger(__name__)
+
+URL_PROFILE = 'https://psnprofiles.com/{psn_id}'
+
+FORMAT_DATE_HEADER = '%a, %d %b %Y %H:%M:%S GMT'
+FORMAT_DAY_MONTH_YEAR = '%d %B %Y'
+
+def game_psnprofiles_id_from_url(relative_url: str) -> int:
+    m = re.match(r'/(?:trophy|trophies)/(\d+)\-(?:[\w-]+)(/[\w-]*)?', relative_url)
+    result = m.group(1)
+    return int(result)
+
+assert game_psnprofiles_id_from_url('/trophies/21045-theatrhythm-final-bar-line')
+assert game_psnprofiles_id_from_url('/trophies/21045-theatrhythm-final-bar-line/')
+assert game_psnprofiles_id_from_url('/trophies/21045-theatrhythm-final-bar-line/Jmaanes')
+assert game_psnprofiles_id_from_url('/trophy/21045-theatrhythm-final-bar-line/19-seasoned-hunter')
+
+def scrape_personal_page(session):
+    # Request to get watch history
+    logger.info('Getting Watchlist')
+    url = URL_PROFILE.format(psn_id = secrets.PLAYSTATION_PSN_ID)
+    response = session.get(url)
+    response.raise_for_status()
+
+    NOW = datetime.datetime.strptime(response.headers['Date'], FORMAT_DATE_HEADER)
+
+    # Parse data
+    soup = bs4.BeautifulSoup(response.content, 'lxml')
+    soup = personal_data.html_util.normalize_soup_slightly(soup, classes = False)
+
+    # Recent trophies.
+    soup_recent_tropies = soup.select('ul#recent-trophies > li')
+    assert len(soup_recent_tropies) > 0, url
+    for row in soup_recent_tropies:
+        cells = row.select_one('.info .box td').find_all('div')
+
+        trophy_name = cells[0].get_text().strip()
+        trophy_desc = cells[1].get_text().strip()
+        game_name = cells[2].a.extract().get_text().strip()
+
+        psnprofiles_id = game_psnprofiles_id_from_url(cells[0].find('a')['href'])
+        trophy_icon = row.find(class_='icon').find('img')['src']
+
+        gotten_at = cells[2].get_text().strip().removesuffix(' in').removesuffix(' ago')
+        gotten_at = personal_data.parse_util.parse_duration(gotten_at)
+        time_acquired = NOW - gotten_at
+
+        yield {
+            'game.name' : game_name,
+            'me.last_played_time': time_acquired,
+
+            # Trophy Data
+            'trophy.name': trophy_name,
+            'trophy.desc': trophy_desc,
+            'trophy.icon': trophy_icon,
+            'psnprofiles.game_id': psnprofiles_id,
+        }
+
+        del row, cells, time_acquired
+
+    # Games table
+    table_rows = soup.find(id = 'gamesTable').find_all('tr')
+    assert len(table_rows) > 0, url
+
+    for row in table_rows:
+        cells = row.find_all('td')
+
+        # Check for pagination
+        if re.match(r'show \d+ more games', cells[0].get_text().strip(), re.IGNORECASE):
+            break
+
+        game_name = cells[1].find(class_ = 'title').get_text()
+        psnprofiles_id = game_psnprofiles_id_from_url(cells[0].find('a')['href'])
+        game_icon = cells[0].find('img')['src']
+
+        game_name = row.select_one('.title').get_text()
+        game_platform = row.select_one('.platform').get_text()
+
+        small_infos = cells[1].find_all('div')
+        if len(small_infos) > 2:
+            time_played_div = small_infos[2]
+            time_played_div.sup.extract()
+            time_played = datetime.datetime.strptime(time_played_div.get_text().strip(), FORMAT_DAY_MONTH_YEAR).date()
+        else:
+            time_played = None
+
+        d = {
+                # Important fields
+                'game.name': game_name,
+
+                # Secondary fields
+                'game.platform': game_platform,
+                'game.icon': game_icon,
+                'psnprofiles.game_id': psnprofiles_id,
+        }
+        if time_played:
+            d['me.last_played_time'] = time_played
+        yield d
+
+SCRAPERS = [
+        Scraper(scrape_personal_page, 'games_played_playstation', deduplicate = True)
+]

personal_data/html_util.py

@@ -0,0 +1,73 @@
+import re
+import bs4
+
+HTML_TAGS_MOSTLY_CONTENTLESS: set[str] = {'style', 'svg', 'link', 'br', 'math',
+                                          'canvas'}
+
+HTML_TAGS_WITH_LITTLE_CONTENT: set[str] = { 'head', 'script', 'meta' } | HTML_TAGS_MOSTLY_CONTENTLESS
+
+def normalize_text(text: str) -> str:
+    text = text.replace('\t', ' ')
+    text = text.replace('\r', '')
+    text = re.sub(r'\s*\n\s*\n\s*', '\n\n', text)
+    text = re.sub(r'  +', ' ', text)
+    text = re.sub(r'^\s+', '', text)
+    text = re.sub(r'\s+$', '', text)
+    return text.encode('utf-8')
+
+def normalize_soup_bs4(soup: bs4.BeautifulSoup) -> bytes:
+    for comment in soup(text=lambda text: isinstance(text, bs4.Comment)):
+        comment.extract()
+        del comment
+    for element_name in HTML_TAGS_WITH_LITTLE_CONTENT:
+        for script_elements in soup(element_name):
+            script_elements.decompose()
+        del element_name
+    soup.smooth()
+    return soup
+
+def normalize_soup_lxml(soup) -> bytes:
+    for element_name in HTML_TAGS_WITH_LITTLE_CONTENT:
+        for script_elements in soup.cssselect(element_name):
+            script_elements.drop_tree()
+            del script_elements
+        del element_name
+    return soup
+
+def normalize_soup(soup) -> bytes:
+    text = None
+    if isinstance(soup, bs4.BeautifulSoup):
+        text = normalize_soup_bs4(soup).get_text()
+    else:
+        text = normalize_soup_lxml(soup).text_content()
+    return normalize_text(text)
+
+def normalize_soup_slightly(soup, classes = True, scripts = True, comments = True):
+    # Little if any content
+    for tag in HTML_TAGS_MOSTLY_CONTENTLESS:
+        for e in soup.select(tag):
+            e.decompose()
+
+    if classes:
+        for e in soup.find_all(class_=True):
+            del e['class']
+    for e in soup.find_all('script', src=True):
+        e.decompose()
+    for e in soup.find_all(style=True):
+        del e['style']
+    for e in soup.select('a'):
+        del e['height'], e['target'], e['rel'], e['onclick']
+
+    for e in soup.select('a[href=""]'):
+        del e['href']
+
+    if scripts:
+        for e in soup.find_all('script'):
+            e.decompose()
+
+    if comments:
+        for c in soup.find_all(string=lambda text: isinstance(text, bs4.Comment)):
+            c.extract()
+
+    soup.smooth()
+    return soup

personal_data/parse_util.py

@@ -0,0 +1,25 @@
+
+import datetime
+
+DATETIME_UNITS = {
+        'second': datetime.timedelta(seconds = 1),
+        'seconds': datetime.timedelta(seconds = 1),
+        'minute': datetime.timedelta(minutes = 1),
+        'minutes': datetime.timedelta(minutes = 1),
+        'hour': datetime.timedelta(hours = 1),
+        'hours': datetime.timedelta(hours = 1),
+        'day': datetime.timedelta(days = 1),
+        'days': datetime.timedelta(days = 1),
+        'week': datetime.timedelta(days = 7),
+        'weeks': datetime.timedelta(days = 7),
+        'month': datetime.timedelta(days = 30),
+        'months': datetime.timedelta(days = 30),
+        'year': datetime.timedelta(days = 365),
+        'years': datetime.timedelta(days = 365),
+}
+
+def parse_duration(text: str) -> datetime.timedelta:
+    (num, unit) = text.split(' ')
+    num = int(num)
+    unit = DATETIME_UNITS[unit]
+    return unit * num