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1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1214 1215 1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 | from flask import Flask, render_template, request, redirect, url_for, jsonify
from flask_caching import Cache
import aiohttp
import asyncio
from bs4 import BeautifulSoup, NavigableString
#from playwright.async_api import async_playwright
from datetime import datetime, timedelta, timezone
import os
import calendar
import praw
import re
#from dotenv import load_dotenv
#load_dotenv()
API_KEY = os.environ.get('YT_API_KEY')
REDDIT_CLIENT_ID = os.environ.get('REDDIT_CLIENT_ID')
REDDIT_CLIENT_SECRET = os.environ.get('REDDIT_API_KEY')
REDDIT_USER_AGENT = "user age by u/Hemanth"
app = Flask(__name__)
cache = Cache(app, config={'CACHE_TYPE': 'simple'})
YOUTUBE_API_URL = 'https://www.googleapis.com/youtube/v3/playlistItems'
PLAYLIST_API_URL = 'https://www.googleapis.com/youtube/v3/playlists'
WATCHED_VIDEOS_FILE = 'watched_videos.txt'
PLAYLISTS_FILE = 'playlists.txt'
LISTENED_EPISODES_FILE = 'listened_episodes.txt'
async def fetch_videos_from_playlist(session, playlist_id):
params = {
'part': 'snippet',
'playlistId': playlist_id,
'maxResults': 50,
'key': API_KEY
}
try:
async with session.get(YOUTUBE_API_URL, params=params) as response:
if response.status != 200:
print(f"Failed to fetch data for playlist {playlist_id}: {response.status} {await response.text()}")
return []
data = await response.json()
return data.get('items', [])
except Exception as e:
print(f"Error in fetch_videos_from_playlist for {playlist_id}: {e}")
return []
async def fetch_playlist_title(session, playlist_id):
params = {
'part': 'snippet',
'id': playlist_id,
'key': API_KEY,
}
try:
async with session.get(PLAYLIST_API_URL, params=params) as response:
if response.status == 200:
data = await response.json()
if data.get('items'):
return {
'id': data['items'][0]['id'],
'title': data['items'][0]['snippet']['title'],
'channel_title': data['items'][0]['snippet']['channelTitle']
}
else:
print(f"Failed to fetch playlist title for {playlist_id}: {response.status} {await response.text()}")
except Exception as e:
print(f"Error in fetch_playlist_title for {playlist_id}: {e}")
return None
reddit = praw.Reddit(
client_id=REDDIT_CLIENT_ID,
client_secret=REDDIT_CLIENT_SECRET,
user_agent=REDDIT_USER_AGENT
)
SUBREDDITS = ['UPSC','SideProject', 'datascience','explainlikeimfive','Krishnamurti','ycombinator','OpenAI','programming','AskReddit', 'worldnews', 'politics']
@app.route('/get_posts', methods=['POST'])
def get_posts():
data = request.json
selected_subreddits = data.get('subreddits', [])
sort_method = data.get('sort', 'hot')
limit = int(data.get('limit', 10))
all_posts = []
for subreddit_name in selected_subreddits:
try:
subreddit = reddit.subreddit(subreddit_name)
if sort_method == 'top':
posts_iterable = subreddit.top(limit=limit)
elif sort_method == 'new':
posts_iterable = subreddit.new(limit=limit)
else:
posts_iterable = subreddit.hot(limit=limit)
for post in posts_iterable:
all_posts.append({
'subreddit': subreddit_name,
'title': post.title,
'url': post.url,
'author': post.author.name if post.author else '[deleted]',
'score': post.score,
'num_comments': post.num_comments,
'created_utc': post.created_utc,
'selftext': post.selftext[:300] + '...' if len(post.selftext) > 300 else post.selftext,
'link': f"https://reddit.com{post.permalink}",
'flair': post.link_flair_text if post.link_flair_text else 'No flair',
'nsfw': post.over_18,
'spoiler': post.spoiler
})
except Exception as e:
print(f"Error fetching posts from subreddit {subreddit_name}: {e}")
return jsonify(all_posts)
def filter_videos_by_date(videos, days=5):
recent_videos = []
if not videos: return []
cutoff_date = datetime.now(timezone.utc) - timedelta(days=days)
for video in videos:
try:
publish_date = datetime.strptime(video['snippet']['publishedAt'], "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc)
if publish_date >= cutoff_date:
recent_videos.append({
'videoId': video['snippet']['resourceId']['videoId'],
'title': video['snippet']['title'],
'url': f"https://www.youtube.com/watch?v={video['snippet']['resourceId']['videoId']}",
'publishedAt': publish_date
})
except (KeyError, TypeError, ValueError) as e:
print(f"Error processing video data: {video.get('snippet', {}).get('title', 'Unknown Video')}. Error: {e}")
continue
return recent_videos
def load_watched_videos():
if os.path.exists(WATCHED_VIDEOS_FILE):
with open(WATCHED_VIDEOS_FILE, 'r') as file:
return {line.strip() for line in file}
return set()
def save_watched_videos(video_ids):
try:
with open(WATCHED_VIDEOS_FILE, 'a') as file:
for video_id in video_ids:
file.write(f"{video_id}\n")
except IOError as e:
print(f"Error saving watched videos: {e}")
def filter_unseen_videos(videos):
if not videos: return []
watched_videos = load_watched_videos()
return [video for video in videos if video['videoId'] not in watched_videos]
async def load_playlists(session):
playlists_data = []
if os.path.exists(PLAYLISTS_FILE):
try:
with open(PLAYLISTS_FILE, 'r') as file:
playlist_ids = [line.strip() for line in file]
tasks = [fetch_playlist_title(session, playlist_id) for playlist_id in playlist_ids]
playlist_details_results = await asyncio.gather(*tasks, return_exceptions=True)
for detail in playlist_details_results:
if isinstance(detail, Exception):
print(f"Error fetching a playlist detail: {detail}")
elif detail:
playlists_data.append(detail)
except Exception as e:
print(f"Error loading playlists from file or fetching details: {e}")
return playlists_data
def add_playlist(playlist_id):
try:
with open(PLAYLISTS_FILE, 'a') as file:
file.write(f"{playlist_id}\n")
except IOError as e:
print(f"Error adding playlist to file: {e}")
async def scrape_air_content(url, title_filter):
episodes = []
try:
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
if response.status != 200:
print(f"Failed to fetch data from {url}: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
table = soup.find('table', class_='table')
if not table:
print(f"Table not found on {url}")
return []
rows = table.find_all('tr')[1:]
for row in rows:
cols = row.find_all('td')
if len(cols) < 4:
continue
title = cols[0].text.strip()
date_str = cols[1].text.strip()
time_str = cols[2].text.strip()
audio_tag = cols[3].find('audio')
audio_src = None
if audio_tag:
source_tag = audio_tag.find('source')
if source_tag and 'src' in source_tag.attrs:
audio_src = source_tag['src']
if not audio_src:
continue
try:
date_obj = datetime.strptime(f"{date_str} {time_str}", '%d %b %Y %H:%M')
except ValueError:
print(f"Could not parse date for AIR episode: {date_str} {time_str}")
continue
if title in title_filter:
episodes.append({
'title': title,
'date': date_obj,
'audio_link': audio_src
})
except Exception as e:
print(f"Error scraping AIR content from {url} for titles {title_filter}: {e}")
return episodes
async def scrape_air_spotlight():
return await scrape_air_content("https://www.newsonair.gov.in/listen-broadcast-category/daily-broadcast/", ["Spotlight"])
async def scrape_air_insight():
return await scrape_air_content("https://www.newsonair.gov.in/listen-broadcast-category/weekly-broadcast/", ["Insight", "Insights"])
async def scrape_air_economy():
return await scrape_air_content("https://www.newsonair.gov.in/listen-broadcast-category/weekly-broadcast/", ["Money Talk"])
async def scrape_current_affairs_air():
return await scrape_air_content("https://www.newsonair.gov.in/listen-broadcast-category/weekly-broadcast/", ["Current Affairs"])
def filter_recent_episodes(episodes, days=3):
if not episodes: return []
cutoff_date = datetime.now() - timedelta(days=days)
return [episode for episode in episodes if episode['date'] >= cutoff_date]
def load_listened_episodes():
if os.path.exists(LISTENED_EPISODES_FILE):
with open(LISTENED_EPISODES_FILE, 'r') as file:
return {line.strip() for line in file}
return set()
def save_listened_episodes(episode_links):
try:
with open(LISTENED_EPISODES_FILE, 'a') as file:
for link in episode_links:
file.write(f"{link}\n")
except IOError as e:
print(f"Error saving listened episodes: {e}")
def filter_unheard_episodes(episodes):
if not episodes: return []
listened_episodes = load_listened_episodes()
return [episode for episode in episodes if episode.get('audio_link') not in listened_episodes]
async def scrape_pib_asp_net(url, ministry=None, year=None, month=None, day=None):
results = []
try:
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Content-Type': 'application/x-www-form-urlencoded',
'Origin': 'https://www.pib.gov.in',
'Referer': url
}
async with aiohttp.ClientSession(headers=headers) as session:
async with session.get(url, ssl=False, timeout=30) as response:
if response.status != 200:
return []
html = await response.text()
soup = BeautifulSoup(html, "html.parser")
form_data = {}
for input_tag in soup.find_all('input'):
if input_tag.get('name'):
form_data[input_tag.get('name')] = input_tag.get('value', '')
ministry_val = ministry if ministry and ministry != '0' else '0'
year_val = year if year else '2024'
month_val = month if month else '0'
day_val = day if day else '0'
overrides = {
'__EVENTTARGET': 'ctl00$ContentPlaceHolder1$ddlYear',
'__EVENTARGUMENT': '',
'ctl00$ContentPlaceHolder1$ddlMinistry': ministry_val,
'ctl00$ContentPlaceHolder1$ddlYear': year_val,
'ctl00$ContentPlaceHolder1$ddlMonth': month_val,
'ctl00$ContentPlaceHolder1$ddlday': day_val,
'ctl00$ContentPlaceHolder1$ddlSector': '0',
}
form_data.update(overrides)
async with session.post(url, data=form_data, ssl=False, timeout=30) as post_response:
if post_response.status != 200:
return []
post_content = await post_response.text()
post_soup = BeautifulSoup(post_content, "html.parser")
content_area = post_soup.find('div', class_='content-area')
if content_area:
for li in content_area.find_all('li'):
link_tag = li.find('a')
date_span = li.find('span', class_='publishdatesmall')
if link_tag and date_span:
href = link_tag.get('href', '')
if href and not href.startswith('http'):
if href.startswith('/'):
href = f"https://www.pib.gov.in{href}"
else:
href = f"https://www.pib.gov.in/{href}"
results.append({
'title': link_tag.text.strip(),
'url': href,
'date': date_span.text.replace('Posted on:', '').strip()
})
except Exception as e:
print(f"PIB scraping error: {e}")
return results
async def scrape_pib(ministry=None, year=None, month=None, day=None):
url = "https://www.pib.gov.in/ViewBackgrounder.aspx?MenuId=51®=3&lang=1"
data = await scrape_pib_asp_net(url, ministry, year, month, day)
if data ==[]:
url1 = "https://www.pib.gov.in/ViewBackgrounder.aspx?MenuId=51"
data = await scrape_pib_asp_net(url1, ministry, year, month, day)
return {'Backgrounders': data}
async def scrape_pib_facts(ministry=None, year=None, month=None, day=None):
url = "https://www.pib.gov.in/AllFactsheet.aspx?MenuId=12®=3&lang=1"
data = await scrape_pib_asp_net(url, ministry, year, month, day)
if data ==[]:
url1 = "https://www.pib.gov.in/ViewBackgrounder.aspx?MenuId=51"
data = await scrape_pib_asp_net(url1, ministry, year, month, day)
return {'Backgrounders': data}
TH_url = "https://learningcorner.epaper.thehindu.com/articles"
@app.route('/')
@cache.cached(timeout=300)
async def index():
playlist_data = []
spotlight_episodes, insight_episodes, economy_episodes, current_episodes_air = [], [], [], []
indian_express_articles_data, orf_articles_data, sansad_tv_summaries_data = [], [], []
pib_backgrounders_result, pib_facts_result, forum_ca_result = {}, {}, []
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
}
async with aiohttp.ClientSession(headers=headers) as session:
try:
loaded_playlists = await load_playlists(session)
for playlist_item in loaded_playlists:
try:
videos = await fetch_videos_from_playlist(session, playlist_item['id'])
recent_videos = filter_videos_by_date(videos, days=5)
unseen_videos = filter_unseen_videos(recent_videos)
playlist_data.append({
'id': playlist_item['id'],
'title': playlist_item['title'],
'unseen_count': len(unseen_videos),
'channel': playlist_item['channel_title']
})
except Exception as e:
print(f"Error processing playlist {playlist_item.get('id', 'N/A')}: {e}")
playlist_data.sort(key=lambda x: x['unseen_count'], reverse=True)
except Exception as e:
print(f"Error loading or processing playlists: {e}")
tasks_to_run = [
scrape_air_spotlight(),
scrape_air_insight(),
scrape_air_economy(),
scrape_current_affairs_air(),
scrape_indian_express_articles(),
scrape_orf_articles(),
scrape_AIR_sansad_tv_summaries_Iasgyan(),
scrape_pib(),
scrape_pib_facts(),
scrape_forumias(),
scrape_insights_articles()
]
forum_ca = await scrape_forumias_combined()
results = await asyncio.gather(*tasks_to_run, return_exceptions=True)
if not isinstance(results[0], Exception): spotlight_episodes = results[0]
else: print(f"Error scraping AIR Spotlight: {results[0]}")
if not isinstance(results[1], Exception): insight_episodes = results[1]
else: print(f"Error scraping AIR Insight: {results[1]}")
if not isinstance(results[2], Exception): economy_episodes = results[2]
else: print(f"Error scraping AIR Economy: {results[2]}")
if not isinstance(results[3], Exception): current_episodes_air = results[3]
else: print(f"Error scraping AIR Current Affairs: {results[3]}")
if not isinstance(results[4], Exception): indian_express_articles_data = results[4]
else: print(f"Error scraping Indian Express: {results[4]}")
if not isinstance(results[5], Exception): orf_articles_data = results[5]
else: print(f"Error scraping ORF articles: {results[5]}")
if not isinstance(results[6], Exception): sansad_tv_summaries_data = results[6]
else: print(f"Error scraping Sansad TV Summaries (IASGyan): {results[6]}")
if not isinstance(results[7], Exception): pib_backgrounders_result = results[7]
else: print(f"Error scraping PIB Backgrounders: {results[7]}")
if not isinstance(results[8], Exception): pib_facts_result = results[8]
else: print(f"Error scraping PIB Facts: {results[8]}")
if not isinstance(results[9], Exception): forum_ca_result = results[9]
else: print(f"Error scraping ForumIAS CA: {results[9]}")
if not isinstance(results[9], Exception): insights_articles_result = results[10]
else: print(f"Error scraping ForumIAS CA: {results[10]}")
spotlight_unheard = filter_unheard_episodes(filter_recent_episodes(spotlight_episodes or [], days=5))
insight_unheard = filter_unheard_episodes(filter_recent_episodes(insight_episodes or [], days=5))
economy_unheard = filter_unheard_episodes(filter_recent_episodes(economy_episodes or [], days=5))
current_unheard_air = filter_unheard_episodes(filter_recent_episodes(current_episodes_air or [], days=10))
return render_template('index.html',
playlists=playlist_data,
spotlight_unheard_count=len(spotlight_unheard),
insight_unheard_count=len(insight_unheard),
economy_unheard_count=len(economy_unheard),
current_unheard_count=len(current_unheard_air),
sansad_tv_summaries=sansad_tv_summaries_data or [],
pib_backgrounders=pib_backgrounders_result or {},
subreddits=SUBREDDITS,
articles=indian_express_articles_data or [],
orfarticles=orf_articles_data or [],
pibfacts=pib_facts_result or {},
insightarticles=insights_articles_result or [],
forum_ca=forum_ca
)
@app.route('/unseen_videos/<playlist_id>')
async def unseen_videos(playlist_id):
unseen_vids = []
try:
async with aiohttp.ClientSession() as session:
videos = await fetch_videos_from_playlist(session, playlist_id)
recent_videos = filter_videos_by_date(videos, days=5)
unseen_vids = filter_unseen_videos(recent_videos)
except Exception as e:
print(f"Error in /unseen_videos/{playlist_id}: {e}")
return render_template('unseen_videos.html', videos=unseen_vids, playlist_id=playlist_id)
@app.route('/pib')
async def pibscrap():
ministry = request.args.get('ministry','0')
year = request.args.get('year','2024')
month = request.args.get('month','0')
day = request.args.get('day','0')
pib_data = await scrape_pib(ministry=ministry, year=year, month=month, day=day)
return render_template('pib.html', pib_backgrounders=pib_data or {})
@app.route('/pib_facts')
async def pibscrapfacts():
ministry = request.args.get('ministry', '0')
year = request.args.get('year', '2024')
month = request.args.get('month', '0')
day = request.args.get('day', '0')
pib_data = await scrape_pib_facts(ministry=ministry, year=year, month=month, day=day)
return render_template('pib_facts.html', pib_backgrounders=pib_data or {})
@app.route('/mark_watched', methods=['POST'])
def mark_watched():
video_ids = request.form.getlist('video_ids')
save_watched_videos(video_ids)
playlist_id = request.form.get('playlist_id')
if playlist_id:
return redirect(url_for('unseen_videos', playlist_id=playlist_id))
return redirect(url_for('index'))
@app.route('/add_playlist', methods=['GET', 'POST'])
def add_playlist_route():
if request.method == 'POST':
playlist_id = request.form.get('playlist_id', '').strip()
if playlist_id:
add_playlist(playlist_id)
return redirect(url_for('index'))
return render_template('add_playlist.html')
async def _render_air_episodes_page(scrape_function, days_filter, template_name='spotlight.html'):
episodes_data = []
try:
raw_episodes = await scrape_function()
recent_episodes_data = filter_recent_episodes(raw_episodes or [], days=days_filter)
episodes_data = filter_unheard_episodes(recent_episodes_data or [])
except Exception as e:
print(f"Error in AIR episodes route for {scrape_function.__name__}: {e}")
return render_template(template_name, episodes=episodes_data)
@app.route('/spotlight')
async def spotlight():
return await _render_air_episodes_page(scrape_air_spotlight, 5)
@app.route('/Insight')
async def insight():
return await _render_air_episodes_page(scrape_air_insight, 5)
@app.route('/aireconomy')
async def aireconomy():
return await _render_air_episodes_page(scrape_air_economy, 5)
@app.route('/aircurrentaffairs')
async def airCA():
return await _render_air_episodes_page(scrape_current_affairs_air, 10)
@app.route('/mark_listened', methods=['POST'])
def mark_listened():
episode_links = request.form.getlist('episode_links')
save_listened_episodes(episode_links)
return redirect(request.referrer or url_for('index'))
BASE_URL_MEA = "https://www.mea.gov.in/bilateral-documents.htm"
async def fetch_page_mea(session, url): # Renamed
try:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch MEA page {url}: {response.status}")
return None
return await response.text()
except Exception as e:
print(f"Error fetching MEA page {url}: {e}")
return None
async def parse_page_mea(content, days_ago_cutoff_date):
documents = []
continue_scraping = True
if not content:
return documents, False
soup = BeautifulSoup(content, "html.parser")
item_list = soup.find('ul', class_='commonListing')
if item_list:
for item in item_list.find_all('li'):
title_link = item.find('a', class_='searchContent')
date_container = item.find('span', class_='date')
if title_link and date_container:
title = title_link.text.strip()
doc_url = title_link['href']
if not doc_url.startswith('http'):
doc_url = f"https://www.mea.gov.in{doc_url}" if doc_url.startswith('/') else f"https://www.mea.gov.in/{doc_url}"
date_str_raw = date_container.text.strip()
try:
date_obj = datetime.strptime(date_str_raw, "%B %d, %Y").replace(tzinfo=timezone.utc)
if date_obj >= days_ago_cutoff_date:
documents.append({
'title': title,
'url': doc_url,
'date': date_obj.strftime("%B %d, %Y")
})
else:
continue_scraping = False
break
except ValueError:
print(f"Error parsing MEA date: {date_str_raw} for title '{title}'")
else:
print("MEA commonListing not found.")
continue_scraping = False
return documents, continue_scraping
def get_next_page_url_mea(content):
if not content: return None
soup = BeautifulSoup(content, "html.parser")
next_link = soup.find('a', class_='next')
if next_link and 'href' in next_link.attrs:
href = next_link['href']
if href.startswith('http'):
return href
elif href.startswith('/'):
return f"https://www.mea.gov.in{href}"
else:
return f"https://www.mea.gov.in/bilateral-documents/{href}"
return None
async def scrape_bilateral_documents():
all_documents = []
try:
async with aiohttp.ClientSession() as session:
current_url = f"{BASE_URL_MEA}?53/Bilateral/Multilateral_Documents"
days_ago_cutoff_date = (datetime.now(timezone.utc) - timedelta(days=90)).replace(hour=0, minute=0, second=0, microsecond=0)
page_count = 0
max_pages = 10
while current_url and page_count < max_pages:
page_count += 1
print(f"Scraping MEA page {page_count}: {current_url}")
content = await fetch_page_mea(session, current_url)
if not content:
break
documents_on_page, continue_scraping = await parse_page_mea(content, days_ago_cutoff_date)
all_documents.extend(documents_on_page)
if not continue_scraping:
print("Stopping MEA scraping based on date or parsing issue.")
break
current_url = get_next_page_url_mea(content)
if not current_url:
print("No next page found for MEA.")
break
await asyncio.sleep(1)
except Exception as e:
print(f"Error during MEA bilateral documents scraping: {e}")
return all_documents
@app.route('/MEAsite')
@cache.cached(timeout=3600)
async def bilateral_documents():
documents_data = await scrape_bilateral_documents()
return render_template('bilateral_documents.html', documents=documents_data or [])
async def scrape_prs_india():
cards_data = []
try:
url = "https://prsindia.org"
async with aiohttp.ClientSession() as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch PRS India data: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
right_banner = soup.find('div', class_='right-banner')
if right_banner:
for item in right_banner.find_all(['div','section'], class_=re.compile(r"col-\w*-6|card-item-class")):
image_tag = item.find('img')
link_tag = item.find('a')
title_tag = item.find(['h3','h4','h5'])
if link_tag and title_tag:
img_src = None
if image_tag and 'src' in image_tag.attrs:
img_src = image_tag['src']
if not img_src.startswith('http'):
img_src = url + img_src if img_src.startswith('/') else url + '/' + img_src
link_href = link_tag['href']
if not link_href.startswith('http'):
link_href = url + link_href if link_href.startswith('/') else url + '/' + link_href
cards_data.append({
'title': title_tag.text.strip(),
'image_url': img_src,
'link_url': link_href
})
else:
print("PRS India: right-banner not found.")
except Exception as e:
print(f"Error scraping PRS India: {e}")
return cards_data
@app.route('/prsindia')
@cache.cached(timeout=3600)
async def prs_india():
scraped_cards = await scrape_prs_india()
return render_template('prsindia.html', cards=scraped_cards or [])
async def scrape_prs_bills(session, search_keyword=None, year=None, status=None):
bills_data = []
try:
base_url = "https://prsindia.org/billtrack/category/billtrack"
params = {}
if search_keyword:
params['BillActsBillsParliamentSearch[title]'] = search_keyword
if status:
params['BillActsBillsParliamentSearch[bill_status_id]'] = status
if year:
params['BillActsBillsParliamentSearch[date_of_introduction]'] = year
async with session.get(base_url, params=params, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch PRS India bills data: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
for row in soup.find_all('div', class_='views-row'):
title_div = row.find('div', class_='views-field-title-field')
status_div = row.find('div', class_='views-field-field-bill-status')
if title_div and status_div:
title_tag = title_div.find('h3', class_='cate')
if title_tag and title_tag.a:
bill_url = title_tag.a['href']
if not bill_url.startswith('http'):
bill_url = f"https://prsindia.org{bill_url}"
status_span = status_div.find('span')
status_text = status_span.text.strip() if status_span else "Unknown"
bills_data.append({
'title': title_tag.a.text.strip(),
'url': bill_url,
'status': status_text
})
except Exception as e:
print(f"Error scraping PRS India bills: {e}")
return bills_data
@app.route('/prsindia_bills')
async def prs_india_bills():
search_keyword = request.args.get('search', '')
year = request.args.get('year', str(datetime.now().year))
status = request.args.get('status', '')
async with aiohttp.ClientSession() as session:
bills = await scrape_prs_bills(session, search_keyword, year, status)
return render_template('prsindia_bills.html',
bills=bills,
search_keyword=search_keyword,
year=year,
status=status)
async def scrape_current_affairs_iasgyan():
current_affairs_data = []
try:
url = "https://www.iasgyan.in/daily-current-affairs"
async with aiohttp.ClientSession() as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch IASGyan Current Affairs data: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
cutoff_date_iasgyan = datetime.now() - timedelta(days=6)
for article_block in soup.find_all('div', class_='shadow mt-4 rounded-2'):
title_tag_ias = article_block.find('h3', class_='fw-semibold text-white m-0 fs-5')
article_links_list = article_block.find_all('a', class_='w-100')
if title_tag_ias and article_links_list:
date_str_match = re.search(r'–\s*(.+)$', title_tag_ias.text.strip())
if not date_str_match: continue
date_str_cleaned = re.sub(r'(\d+)(st|nd|rd|th|TH|ND|RD|ST)\s*', r'\1 ', date_str_match.group(1).strip())
date_str_cleaned = date_str_cleaned.replace(" ", " ")
try:
article_date_obj = datetime.strptime(date_str_cleaned.strip(), '%d %B %Y')
except ValueError as ve:
print(f"IASGyan: Error parsing date '{date_str_cleaned}': {ve}")
continue
if article_date_obj >= cutoff_date_iasgyan:
articles_for_date = []
for link_item in article_links_list:
articles_for_date.append({
'title': link_item.text.strip(),
'url': link_item['href'] if link_item.get('href') else '#'
})
if articles_for_date:
current_affairs_data.append({
'date': article_date_obj,
'articles': articles_for_date
})
current_affairs_data.sort(key=lambda x: x['date'], reverse=True)
except Exception as e:
print(f"Error scraping IASGyan Current Affairs: {e}")
return current_affairs_data
async def scrape_AIR_sansad_tv_summaries_Iasgyan():
summaries_data = []
try:
url = "https://www.iasgyan.in/sansad-tv-air-summaries"
async with aiohttp.ClientSession() as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch IASGyan Sansad TV & AIR summaries: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
for summary_block_item in soup.find_all('div', class_='content_bx'):
title_tag_sum = summary_block_item.find('div', class_='title').find('a') if summary_block_item.find('div', class_='title') else None
date_tag_sum = summary_block_item.find('li', class_='text-muted')
description_tag_sum = summary_block_item.find('div', class_='short_descr').find('ol') if summary_block_item.find('div', class_='short_descr') else None
read_more_tag_sum = summary_block_item.find('div', class_='readmore_btn').find('a') if summary_block_item.find('div', class_='readmore_btn') else None
if not (title_tag_sum and date_tag_sum and description_tag_sum and read_more_tag_sum):
continue
title_text = title_tag_sum.text.strip()
doc_url_sum = title_tag_sum['href']
summary_date_str_raw = " ".join(date_tag_sum.text.strip().split()).replace(',', '')
try:
if len(summary_date_str_raw.split()[1]) == 3:
parsed_date_sum = datetime.strptime(summary_date_str_raw, '%d %b %Y')
else:
parsed_date_sum = datetime.strptime(summary_date_str_raw, '%d %B %Y')
except ValueError:
print(f"IASGyan Summaries: Could not parse date '{summary_date_str_raw}' for '{title_text}'")
parsed_date_sum = datetime.min
summary_points_list = [li.text.strip() for li in description_tag_sum.find_all('li')]
summaries_data.append({
'title': title_text,
'url': doc_url_sum,
'date_obj': parsed_date_sum,
'date': parsed_date_sum.strftime('%d %b %Y') if parsed_date_sum != datetime.min else summary_date_str_raw,
'points': summary_points_list,
'read_more_url': read_more_tag_sum['href']
})
summaries_data.sort(key=lambda x: x['date_obj'], reverse=True)
return summaries_data[:3]
except Exception as e:
print(f"Error scraping IASGyan Sansad TV summaries: {e}")
return summaries_data
async def scrape_indian_express_articles():
articles_data = []
try:
url = "https://indianexpress.com/section/upsc-current-affairs/upsc-essentials/"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
}
async with aiohttp.ClientSession(headers=headers) as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch Indian Express UPSC articles: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
one_week_ago_cutoff = datetime.now(timezone.utc) - timedelta(days=7)
for article_div in soup.find_all('div', class_='articles'):
try:
context_div = article_div.find('div', class_='img-context')
if not context_div: continue
title_tag = context_div.find('h2', class_='title').find('a')
if not title_tag: continue
title_text = title_tag.text.strip()
doc_url = title_tag['href']
date_div = context_div.find('div', class_='date')
date_str_raw = date_div.text.strip() if date_div else ""
summary_tag = context_div.find('p')
summary_text = summary_tag.text.strip() if summary_tag else ""
snaps_div = article_div.find('div', class_='snaps')
image_url = None
if snaps_div:
img = snaps_div.find('img')
if img:
image_url = img.get('src') or img.get('data-src')
article_date_obj = None
clean_date_str = date_str_raw.replace('IST', '').strip()
clean_date_str = re.sub(r'\s+', ' ', clean_date_str)
try:
article_date_obj = datetime.strptime(clean_date_str, '%B %d, %Y %H:%M')
except ValueError:
try:
article_date_obj = datetime.strptime(clean_date_str, '%B %d, %Y')
except ValueError:
continue
article_date_obj = article_date_obj.replace(tzinfo=timezone.utc)
if article_date_obj >= one_week_ago_cutoff:
articles_data.append({
'title': title_text,
'url': doc_url,
'image_url': image_url,
'date': date_str_raw,
'summary': summary_text,
'date_obj': article_date_obj
})
except Exception as inner_e:
print(f"Error parsing specific IE article: {inner_e}")
continue
articles_data.sort(key=lambda x: x['date_obj'], reverse=True)
except Exception as e:
print(f"Error scraping Indian Express articles: {e}")
return articles_data
async def scrape_full_article(url):
try:
async with aiohttp.ClientSession() as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch article content from {url}: {response.status}")
return None
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
content_div = soup.find('div', id='pcl-full-content')
if not content_div:
content_div = soup.find('article') or soup.find('main') or soup.find('div', class_=re.compile(r'content|article-body|story'))
if not content_div:
print(f"Could not find main content container for {url}")
return f"<p>Content not found. Please visit <a href='{url}'>original article</a>.</p>"
title_tag_full = soup.find(['h1', 'h2'], class_=re.compile(r'title|headline'))
if not title_tag_full: title_tag_full = soup.find('h1')
title_text_full = title_tag_full.get_text(strip=True) if title_tag_full else "Article"
author_date_div = soup.find(['div','span'], class_=re.compile(r'editor|author|date|byline|meta'))
author_date_text_full = author_date_div.get_text(separator=" ", strip=True) if author_date_div else ""
elements = content_div.find_all(['p', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'ul', 'ol', 'li', 'blockquote', 'figure', 'table'])
formatted_content_parts = []
for elem in elements:
if elem.name in ['h1','h2','h3','h4','h5','h6']:
formatted_content_parts.append(f"<{elem.name}>{elem.get_text(strip=True)}</{elem.name}>")
elif elem.name == 'p':
if elem.find_parent('li'):
continue
formatted_content_parts.append(f"<p>{elem.get_text(separator=' ', strip=True)}</p>")
elif elem.name in ['ul', 'ol']:
list_items_html = "".join([f"<li>{li_item.get_text(separator=' ', strip=True)}</li>" for li_item in elem.find_all('li', recursive=False)])
formatted_content_parts.append(f"<{elem.name}>{list_items_html}</{elem.name}>")
elif elem.name == 'blockquote':
formatted_content_parts.append(f"<blockquote>{elem.get_text(separator=' ', strip=True)}</blockquote>")
elif elem.name == 'figure':
img = elem.find('img')
caption = elem.find('figcaption')
if img and 'src' in img.attrs:
img_html = f"<img src='{img['src']}' alt='{img.get('alt','Image')}' style='max-width:100%; height:auto;'>"
if caption:
img_html += f"<figcaption>{caption.get_text(strip=True)}</figcaption>"
formatted_content_parts.append(f"<figure>{img_html}</figure>")
elif elem.name == 'table':
table_html = "<table>"
for tr in elem.find_all('tr'):
table_html += "<tr>"
for th_td in tr.find_all(['th', 'td']):
table_html += f"<{th_td.name}>{th_td.get_text(strip=True)}</{th_td.name}>"
table_html += "</tr>"
table_html += "</table>"
formatted_content_parts.append(table_html)
full_article_html = f"<h1>{title_text_full}</h1>"
if author_date_text_full:
full_article_html += f"<div class='article-meta' style='color:grey; margin-bottom:1em;'>{author_date_text_full}</div>"
full_article_html += "\n".join(formatted_content_parts)
return full_article_html
except Exception as e:
print(f"Error scraping full article from {url}: {e}")
return f"<p>Error loading article content. Please visit <a href='{url}'>original article</a>.</p>"
@app.route('/article/<path:url>')
async def show_article(url):
if not url.startswith('http'):
print(f"Warning: URL '{url}' might be partial. Assuming it's complete.")
full_content_html = await scrape_full_article(url)
if full_content_html is None:
full_content_html = f"<p>Failed to fetch article content for {url}.</p>"
return render_template('full_article.html', content=full_content_html)
async def scrape_insights_articles():
articles_data_insights = []
try:
url = 'https://www.insightsonindia.com/upsc-mains-answer-writing-2025-insights-ias/'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
}
async with aiohttp.ClientSession(headers=headers) as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch Insights Answer Writing links: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, 'html.parser')
count = 0
for div_block in soup.find_all('div', class_='list_div'):
if count >= 2: break
ul_tag = div_block.find('ul', class_='lcp_catlist')
if ul_tag:
for li in ul_tag.find_all('li'):
a_tag = li.find('a')
if a_tag and a_tag.get('href'):
title = a_tag.text.strip()
link = a_tag['href']
articles_data_insights.append({
'title': title,
'link': link
})
count += 1
except Exception as e:
print(f"Error scraping Insights Answer Writing links: {e}")
return articles_data_insights
async def scrape_full_article_insight(article_url):
filtered_content_parts = []
try:
async with aiohttp.ClientSession() as session:
async with session.get(article_url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch Insights article content from {article_url}: {response.status}")
return None
content = await response.text()
soup = BeautifulSoup(content, 'html.parser')
article_body = soup.find('div', class_=re.compile(r'entry-content|article-content|post-content'))
if not article_body:
print(f"Insights: Could not find article body for {article_url}")
return [{'type': 'p', 'text': 'Article content not found.'}]
current_section_text = None
for tag_item in article_body.find_all(['h1','h2','h3', 'h4', 'p', 'ul', 'ol', 'blockquote', 'table']):
if tag_item.name in ['h1','h2','h3','h4']:
current_section_text = tag_item.text.strip()
filtered_content_parts.append({'type': tag_item.name, 'text': current_section_text})
elif tag_item.name == 'p':
filtered_content_parts.append({'type': 'p', 'text': tag_item.text.strip()})
elif tag_item.name in ['ul', 'ol']:
items = [li.get_text(strip=True) for li in tag_item.find_all('li')]
if items:
filtered_content_parts.append({'type': 'list', 'ordered': tag_item.name == 'ol', 'items': items})
elif tag_item.name == 'blockquote':
filtered_content_parts.append({'type': 'blockquote', 'text': tag_item.get_text(strip=True)})
elif tag_item.name == 'table':
rows = []
for tr in tag_item.find_all('tr'):
cells = [td.get_text(strip=True) for td in tr.find_all(['th', 'td'])]
rows.append(cells)
if rows:
filtered_content_parts.append({'type': 'table', 'rows': rows})
except Exception as e:
print(f"Error scraping full Insights article from {article_url}: {e}")
return [{'type': 'p', 'text': f'Error loading article: {e}'}]
return filtered_content_parts
@app.route('/article_insight/<path:url>')
async def show_article_insight(url):
full_content_data = await scrape_full_article_insight(url)
if not full_content_data:
return "Failed to load the Insights article content.", 404
return render_template('full_article_insight.html', content=full_content_data)
async def scrape_orf_articles():
orf_articles_data = []
try:
url = 'https://www.orfonline.org/content-type/issue-briefs'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
}
async with aiohttp.ClientSession(headers=headers) as session:
async with session.get(url, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch ORF articles from {url}: {response.status}")
return []
content = await response.text()
soup = BeautifulSoup(content, 'html.parser')
cutoff_orf = datetime.now(timezone.utc) - timedelta(days=45)
potential_articles = soup.find_all('div', class_=re.compile(r'col-|card|item|listing|post'))
for article_block in potential_articles:
title_tag = article_block.find(['h2', 'h3'])
if not title_tag:
continue
title_text = title_tag.get_text(strip=True)
if not title_text or len(title_text) < 10:
continue
link_tag = title_tag.find('a')
if not link_tag:
link_tag = article_block.find('a')
if not link_tag or not link_tag.get('href'):
continue
doc_url = link_tag['href']
if not doc_url.startswith('http'):
doc_url = f"https://www.orfonline.org{doc_url}" if doc_url.startswith('/') else f"https://www.orfonline.org/{doc_url}"
date_tag = article_block.find('time') or article_block.find(class_=re.compile(r'date|meta|time'))
article_date_obj = None
if date_tag:
date_str = date_tag.get_text(strip=True)
try:
article_date_obj = datetime.strptime(date_str, "%b %d, %Y").replace(tzinfo=timezone.utc)
except ValueError:
try:
article_date_obj = datetime.strptime(date_str, "%d %B %Y").replace(tzinfo=timezone.utc)
except ValueError:
pass
if not article_date_obj:
article_date_obj = datetime.now(timezone.utc)
if article_date_obj >= cutoff_orf:
desc_tag = article_block.find('p')
desc_text = desc_tag.get_text(strip=True) if desc_tag else ""
if any(a['link'] == doc_url for a in orf_articles_data):
continue
orf_articles_data.append({
'title': title_text,
'link': doc_url,
'date_obj': article_date_obj,
'date': article_date_obj.strftime('%B %d, %Y'),
'description': desc_text,
'author': "ORF"
})
except Exception as e:
print(f"Error scraping ORF articles: {e}")
seen = set()
unique_data = []
for d in orf_articles_data:
if d['link'] not in seen:
seen.add(d['link'])
unique_data.append(d)
unique_data.sort(key=lambda x: x['date_obj'], reverse=True)
return unique_data
async def scrape_forumias(url_path="7pm"):
url = f"https://forumias.com/blog/{url_path}/"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
async with aiohttp.ClientSession(headers=headers) as session:
async with session.get(url, timeout=15) as response:
if response.status != 200:
return []
html = await response.text()
soup = BeautifulSoup(html, "html.parser")
sections_data = []
articles_list = []
date_groups = soup.find_all('div', class_='cat-archive-date-group')
for group in date_groups:
date_div = group.find('div', class_='post-date')
date_text = date_div.get_text(" ", strip=True) if date_div else ""
links = group.find_all('a')
for a in links:
articles_list.append({
'title': a.get_text(strip=True),
'url': a.get('href'),
'date': date_text
})
if articles_list:
sections_data.append({
'section': f"ForumIAS {url_path.upper()} Editorials",
'articles': articles_list
})
return sections_data
async def scrape_forumias_combined():
results = await asyncio.gather(
scrape_forumias("7pm"),
scrape_forumias("9pm")
)
return [item for sublist in results for item in sublist]
@app.route('/forumias')
async def forumias():
scraped_sections = await scrape_forumias_combined()
return render_template('forumias.html', sections=scraped_sections)
@app.route('/forumias/<section>')
async def forumias_section(section):
if section not in ['7pm', '9pm']:
return "Invalid section", 404
scraped_sections = await scrape_forumias(section)
return render_template('forumias.html', sections=scraped_sections)
@app.route('/TH_article/<path:url>')
async def show_th_article(url):
article_content_data = await scrape_TH_learning(url)
if not article_content_data:
return "Failed to load The Hindu Learning Corner article content.", 404
return render_template('article_content.html', content=article_content_data)
async def scrape_TH_learning(article_url_th):
article_content_th = []
try:
async with aiohttp.ClientSession() as session:
async with session.get(article_url_th, timeout=20) as response:
if response.status != 200:
print(f"Failed to fetch TH Learning article from {article_url_th}: {response.status}")
return None
content = await response.text()
soup = BeautifulSoup(content, "html.parser")
main_content_area = soup.find('div', class_=re.compile(r'articlebody|content|story-body'))
if not main_content_area:
main_content_area = soup
for tag_item_th in main_content_area.find_all(['h1','h2','h3', 'h4', 'p', 'ul', 'ol']):
if tag_item_th.name in ['h1','h2','h3','h4']:
article_content_th.append({'type': tag_item_th.name, 'text': tag_item_th.text.strip()})
elif tag_item_th.name == 'p':
article_content_th.append({'type': 'p', 'text': tag_item_th.text.strip()})
elif tag_item_th.name in ['ul', 'ol']:
items = [li.get_text(strip=True) for li in tag_item_th.find_all('li')]
if items:
article_content_th.append({'type':'list', 'ordered': tag_item_th.name=='ol', 'items':items})
if not article_content_th and main_content_area == soup:
print(f"TH Learning: No specific content tags found on {article_url_th}, page might be structured differently.")
except Exception as e:
print(f"Error scraping TH Learning article from {article_url_th}: {e}")
return None
return article_content_th
if __name__ == '__main__':
app.run(debug=True)
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