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added hash as guid for rss

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Mihit Mittal
2026-06-10 23:36:18 +05:30
parent 60645b1c68
commit 5ad61c1cd0
1 changed files with 5 additions and 5 deletions
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10
rss_gen.py
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@@ -33,7 +33,7 @@ XML_END = """</channel></rss>"""
load_dotenv() load_dotenv()
copyparty_token = os.getenv('COPYPARTY_TOKEN') copyparty_token = os.getenv('COPYPARTY_TOKEN')
def make_torrent_entry(name, timestamp, category): def make_torrent_entry(name, timestamp, hash, category):
if category: if category:
category = "DODI_Repack" category = "DODI_Repack"
else: else:
@@ -56,22 +56,22 @@ def write_file(path, data):
def create_25_recent_feed(df): def create_25_recent_feed(df):
most_recent_25 = df.sort_values("timestamp", ascending=False).head(25) most_recent_25 = df.sort_values("timestamp", ascending=False).head(25)
latest_25_xml = "\n".join([make_torrent_entry(i[0], i[2], i[3]) for i in most_recent_25.values]) latest_25_xml = "\n".join([make_torrent_entry(i[0], i[2], i[3], i[4]) for i in most_recent_25.values])
write_file("RSS/recent_25.xml", XML_BEGIN_RECENT+latest_25_xml+XML_END) write_file("RSS/recent_25.xml", XML_BEGIN_RECENT+latest_25_xml+XML_END)
def create_48h_latest(df): def create_48h_latest(df):
last_48_hours = df[df['timestamp'] > datetime.now() - pd.Timedelta(days=2)] last_48_hours = df[df['timestamp'] > datetime.now() - pd.Timedelta(days=2)]
last_48_hours = last_48_hours.sort_values("timestamp", ascending=False) last_48_hours = last_48_hours.sort_values("timestamp", ascending=False)
last_48_xml = "\n".join([make_torrent_entry(i[0], i[2], i[3]) for i in last_48_hours.values]) last_48_xml = "\n".join([make_torrent_entry(i[0], i[2], i[3], i[4]) for i in last_48_hours.values])
write_file("RSS/latest_48h.xml", XML_BEGIN_LAST+last_48_xml+XML_END) write_file("RSS/latest_48h.xml", XML_BEGIN_LAST+last_48_xml+XML_END)
def create_df(): def create_df():
torfiles_scrape = requests.get("https://upload.fieryeagle.org/torfiles", auth=("torbot",copyparty_token)) torfiles_scrape = requests.get("https://upload.fieryeagle.org/torfiles", auth=("torbot",copyparty_token))
soup = BeautifulSoup(torfiles_scrape.content, "html.parser") soup = BeautifulSoup(torfiles_scrape.content, "html.parser")
rows = [i.find_all("td") for i in soup.tbody.find_all("tr")] rows = [i.find_all("td") for i in soup.tbody.find_all("tr")]
filtered_rows = [[i[1].text, i[6].text, datetime.strptime(i[9].text, "%Y-%m-%d %H:%M:%S")] for i in rows] filtered_rows = [[i[1].text, i[6].text, i[4].text, datetime.strptime(i[9].text, "%Y-%m-%d %H:%M:%S")] for i in rows]
df = pd.DataFrame( df = pd.DataFrame(
data=filtered_rows, columns=["name", "upload_ip", "timestamp"] data=filtered_rows, columns=["name", "upload_ip", "hash", "timestamp"]
) )
df['is_repack'] = df['name'].str.contains('DODI', case=False) df['is_repack'] = df['name'].str.contains('DODI', case=False)