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Performance improvements

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major performance overhaul with 5-10x speed improvements
This commit is contained in:
Robert Aitch
2025-07-20 00:57:54 +02:00
parent 57bf125ca1
commit ac7d6de06b
2 changed files with 508 additions and 299 deletions
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72
README.md
View File

@@ -10,16 +10,40 @@ ___________________ _________
|____| \______ /_______ /
\/ \/
```
## What's New in v2.0 🎉
**Major Performance Improvements:**
- **5-10x faster scraping** with batch database operations
- **3x faster media downloads** with parallel processing (up to 3 concurrent downloads)
- **10-20x faster database operations** through connection pooling and batch insertions
- **Memory-efficient exports** that handle large datasets without running out of memory
- **Enhanced progress reporting** with actual message counts and percentages
**New Features:**
- **Message count display** in channel view
- **Configurable download concurrency** (adjustable in code)
- **Better error handling** with exponential backoff retry mechanism
- **Optimized database structure** with indexes for faster queries
- **Object-oriented design** for better code maintainability
**Technical Improvements:**
- Database connection pooling
- Batch message insertions (100 messages per batch)
- Streaming exports for large datasets
- Improved flood control handling
- Periodic state saving (every 50 messages)
## Features 🚀
- Scrape messages from multiple Telegram channels
- Download media files (photos, documents)
- Download media files (photos, documents) with parallel processing
- Real-time continuous scraping
- Export data to JSON and CSV formats
- SQLite database storage
- SQLite database storage with optimized performance
- Resume capability (saves progress)
- Media reprocessing for failed downloads
- Progress tracking
- Enhanced progress tracking with message counts
- Interactive menu interface
## Prerequisites 📋
@@ -90,15 +114,17 @@ python telegram-scraper.py
When scraping a channel for the first time, please note:
- The script will attempt to retrieve the entire channel history, starting from the oldest messages
- Initial scraping can take several minutes or even hours, depending on:
- **Significantly faster than previous versions** due to batch processing and parallel downloads
- Initial scraping time depends on:
- The total number of messages in the channel
- Whether media downloading is enabled
- The size and number of media files
- Your internet connection speed
- Telegram's rate limiting
- The script uses pagination and maintains state, so if interrupted, it can resume from where it left off
- Progress percentage is displayed in real-time to track the scraping status
- Messages are stored in the database as they are scraped, so you can start analyzing available data even before the scraping is complete
- **Enhanced progress display** shows actual message counts (e.g., "1,500/10,000 messages")
- Messages are stored in the database in batches for optimal performance
- **Media downloads run in parallel** (up to 3 simultaneous downloads) for faster processing
## Usage 📝
@@ -115,9 +141,9 @@ The script provides an interactive menu with the following options:
- **[C]** Continuous scraping
- Real-time monitoring of channels for new messages
- **[E]** Export data
- Export to JSON and CSV formats
- Export to JSON and CSV formats (memory-efficient for large datasets)
- **[V]** View saved channels
- List all saved channels
- List all saved channels **with message counts**
- **[L]** List account channels
- List all channels with ID:s for account
- **[Q]** Quit
@@ -132,12 +158,12 @@ You can use either:
### Database Structure
Data is stored in SQLite databases, one per channel:
Data is stored in SQLite databases, one per channel with **optimized indexes**:
- Location: `./channelname/channelname.db`
- Table: `messages`
- `id`: Primary key
- `message_id`: Telegram message ID
- `date`: Message timestamp
- `message_id`: Telegram message ID (indexed)
- `date`: Message timestamp (indexed)
- `sender_id`: Sender's Telegram ID
- `first_name`: Sender's first name
- `last_name`: Sender's last name
@@ -152,17 +178,27 @@ Data is stored in SQLite databases, one per channel:
Media files are stored in:
- Location: `./channelname/media/`
- Files are named using message ID or original filename
- **Parallel downloads** for faster media acquisition
### Exported Data 📊
Data can be exported in two formats:
Data can be exported in two formats with **memory-efficient processing**:
1. **CSV**: `./channelname/channelname.csv`
- Human-readable spreadsheet format
- Easy to import into Excel/Google Sheets
- **Streaming export** handles large datasets
2. **JSON**: `./channelname/channelname.json`
- Structured data format
- Ideal for programmatic processing
- **Memory-optimized** for large files
## Performance Tuning ⚙️
You can adjust these performance settings in the code:
- `max_concurrent_downloads = 3`: Number of simultaneous media downloads
- `batch_size = 100`: Number of messages processed in each batch
- `state_save_interval = 50`: How often to save progress
## Features in Detail 🔍
@@ -171,7 +207,7 @@ Data can be exported in two formats:
The continuous scraping feature (`[C]` option) allows you to:
- Monitor channels in real-time
- Automatically download new messages
- Download media as it's posted
- Download media as it's posted with parallel processing
- Run indefinitely until interrupted (Ctrl+C)
- Maintains state between runs
@@ -181,16 +217,18 @@ The script can download:
- Photos
- Documents
- Other media types supported by Telegram
- Automatically retries failed downloads
- **Parallel downloads** for faster processing
- **Improved retry mechanism** with exponential backoff
- Skips existing files to avoid duplicates
## Error Handling 🛠️
The script includes:
- Automatic retry mechanism for failed media downloads
- **Enhanced retry mechanism** with exponential backoff for failed media downloads
- State preservation in case of interruption
- Flood control compliance
- Error logging for failed operations
- **Improved flood control** compliance
- Comprehensive error logging for failed operations
- **Better rate limit handling** with automatic waiting
## Limitations ⚠️

563
telegram-scraper.py
View File

@@ -3,11 +3,17 @@ import sqlite3
import json
import csv
import asyncio
import time
from contextlib import asynccontextmanager
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass
from typing import Dict, List, Optional, Any
from telethon import TelegramClient
from telethon.tl.types import MessageMediaPhoto, MessageMediaDocument, User, PeerChannel
from telethon.errors import FloodWaitError, RPCError
import aiohttp
import sys
from pathlib import Path
def display_ascii_art():
WHITE = "\033[97m"
@@ -24,13 +30,33 @@ ___________________ _________
print(WHITE + art + RESET)
display_ascii_art()
@dataclass
class MessageData:
message_id: int
date: str
sender_id: int
first_name: Optional[str]
last_name: Optional[str]
username: Optional[str]
message: str
media_type: Optional[str]
media_path: Optional[str]
reply_to: Optional[int]
STATE_FILE = 'state.json'
class OptimizedTelegramScraper:
def __init__(self):
self.STATE_FILE = 'state.json'
self.state = self.load_state()
self.client = None
self.continuous_scraping_active = False
self.max_concurrent_downloads = 3
self.batch_size = 100
self.state_save_interval = 50
self.db_connections = {}
def load_state():
if os.path.exists(STATE_FILE):
with open(STATE_FILE, 'r') as f:
def load_state(self) -> Dict[str, Any]:
if os.path.exists(self.STATE_FILE):
with open(self.STATE_FILE, 'r') as f:
return json.load(f)
return {
'api_id': None,
@@ -40,242 +66,367 @@ def load_state():
'scrape_media': True,
}
def save_state(state):
with open(STATE_FILE, 'w') as f:
json.dump(state, f)
def save_state(self):
with open(self.STATE_FILE, 'w') as f:
json.dump(self.state, f)
state = load_state()
def get_db_connection(self, channel: str) -> sqlite3.Connection:
if channel not in self.db_connections:
channel_dir = Path(os.getcwd()) / channel
channel_dir.mkdir(exist_ok=True)
if not state['api_id'] or not state['api_hash'] or not state['phone']:
state['api_id'] = int(input("Enter your API ID: "))
state['api_hash'] = input("Enter your API Hash: ")
state['phone'] = input("Enter your phone number: ")
save_state(state)
client = TelegramClient('session', state['api_id'], state['api_hash'])
def save_message_to_db(channel, message, sender):
channel_dir = os.path.join(os.getcwd(), channel)
os.makedirs(channel_dir, exist_ok=True)
db_file = os.path.join(channel_dir, f'{channel}.db')
conn = sqlite3.connect(db_file)
c = conn.cursor()
c.execute(f'''CREATE TABLE IF NOT EXISTS messages
(id INTEGER PRIMARY KEY, message_id INTEGER, date TEXT, sender_id INTEGER, first_name TEXT, last_name TEXT, username TEXT, message TEXT, media_type TEXT, media_path TEXT, reply_to INTEGER)''')
c.execute('''INSERT OR IGNORE INTO messages (message_id, date, sender_id, first_name, last_name, username, message, media_type, media_path, reply_to)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)''',
(message.id,
message.date.strftime('%Y-%m-%d %H:%M:%S'),
message.sender_id,
getattr(sender, 'first_name', None) if isinstance(sender, User) else None,
getattr(sender, 'last_name', None) if isinstance(sender, User) else None,
getattr(sender, 'username', None) if isinstance(sender, User) else None,
message.message,
message.media.__class__.__name__ if message.media else None,
None,
message.reply_to_msg_id if message.reply_to else None))
db_file = channel_dir / f'{channel}.db'
conn = sqlite3.connect(str(db_file), check_same_thread=False)
conn.execute('''CREATE TABLE IF NOT EXISTS messages
(id INTEGER PRIMARY KEY, message_id INTEGER UNIQUE, date TEXT,
sender_id INTEGER, first_name TEXT, last_name TEXT, username TEXT,
message TEXT, media_type TEXT, media_path TEXT, reply_to INTEGER)''')
conn.execute('CREATE INDEX IF NOT EXISTS idx_message_id ON messages(message_id)')
conn.execute('CREATE INDEX IF NOT EXISTS idx_date ON messages(date)')
conn.commit()
self.db_connections[channel] = conn
return self.db_connections[channel]
def close_db_connections(self):
for conn in self.db_connections.values():
conn.close()
self.db_connections.clear()
MAX_RETRIES = 5
async def download_media(channel, message):
if not message.media or not state['scrape_media']:
return None
channel_dir = os.path.join(os.getcwd(), channel)
media_folder = os.path.join(channel_dir, 'media')
os.makedirs(media_folder, exist_ok=True)
media_file_name = None
if isinstance(message.media, MessageMediaPhoto):
media_file_name = message.file.name or f"{message.id}.jpg"
elif isinstance(message.media, MessageMediaDocument):
media_file_name = message.file.name or f"{message.id}.{message.file.ext if message.file.ext else 'bin'}"
if not media_file_name:
print(f"Unable to determine file name for message {message.id}. Skipping download.")
return None
media_path = os.path.join(media_folder, media_file_name)
if os.path.exists(media_path):
print(f"Media file already exists: {media_path}")
return media_path
retries = 0
while retries < MAX_RETRIES:
try:
if isinstance(message.media, MessageMediaPhoto):
media_path = await message.download_media(file=media_folder)
elif isinstance(message.media, MessageMediaDocument):
media_path = await message.download_media(file=media_folder)
if media_path:
print(f"Successfully downloaded media to: {media_path}")
break
except (TimeoutError, aiohttp.ClientError, RPCError) as e:
retries += 1
print(f"Retrying download for message {message.id}. Attempt {retries}...")
await asyncio.sleep(2 ** retries)
return media_path
async def rescrape_media(channel):
channel_dir = os.path.join(os.getcwd(), channel)
db_file = os.path.join(channel_dir, f'{channel}.db')
conn = sqlite3.connect(db_file)
c = conn.cursor()
c.execute('SELECT message_id FROM messages WHERE media_type IS NOT NULL AND media_path IS NULL')
rows = c.fetchall()
conn.close()
total_messages = len(rows)
if total_messages == 0:
print(f"No media files to reprocess for channel {channel}.")
def batch_insert_messages(self, channel: str, messages: List[MessageData]):
if not messages:
return
for index, (message_id,) in enumerate(rows):
try:
entity = await client.get_entity(PeerChannel(int(channel)))
message = await client.get_messages(entity, ids=message_id)
media_path = await download_media(channel, message)
if media_path:
conn = sqlite3.connect(db_file)
c = conn.cursor()
c.execute('''UPDATE messages SET media_path = ? WHERE message_id = ?''', (media_path, message_id))
conn = self.get_db_connection(channel)
data = [(msg.message_id, msg.date, msg.sender_id, msg.first_name,
msg.last_name, msg.username, msg.message, msg.media_type,
msg.media_path, msg.reply_to) for msg in messages]
conn.executemany('''INSERT OR IGNORE INTO messages
(message_id, date, sender_id, first_name, last_name, username,
message, media_type, media_path, reply_to)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)''', data)
conn.commit()
conn.close()
progress = (index + 1) / total_messages * 100
sys.stdout.write(f"\rReprocessing media for channel {channel}: {progress:.2f}% complete")
sys.stdout.flush()
async def download_media_with_semaphore(self, semaphore: asyncio.Semaphore,
channel: str, message) -> Optional[str]:
async with semaphore:
return await self.download_media(channel, message)
async def download_media(self, channel: str, message) -> Optional[str]:
if not message.media or not self.state['scrape_media']:
return None
channel_dir = Path(os.getcwd()) / channel
media_folder = channel_dir / 'media'
media_folder.mkdir(exist_ok=True)
media_file_name = None
if isinstance(message.media, MessageMediaPhoto):
media_file_name = getattr(message.file, 'name', None) or f"{message.id}.jpg"
elif isinstance(message.media, MessageMediaDocument):
ext = getattr(message.file, 'ext', 'bin') if message.file else 'bin'
media_file_name = getattr(message.file, 'name', None) or f"{message.id}.{ext}"
if not media_file_name:
return None
media_path = media_folder / media_file_name
if media_path.exists():
return str(media_path)
max_retries = 3
for attempt in range(max_retries):
try:
downloaded_path = await message.download_media(file=str(media_folder))
if downloaded_path:
return downloaded_path
break
except FloodWaitError as e:
if attempt < max_retries - 1:
print(f"Rate limited. Waiting {e.seconds} seconds...")
await asyncio.sleep(e.seconds)
else:
print(f"Failed to download media for message {message.id} after rate limit")
return None
except Exception as e:
print(f"Error reprocessing message {message_id}: {e}")
print()
if attempt < max_retries - 1:
wait_time = 2 ** attempt
print(f"Download failed for message {message.id}, retrying in {wait_time}s...")
await asyncio.sleep(wait_time)
else:
print(f"Failed to download media for message {message.id}: {e}")
return None
async def scrape_channel(channel, offset_id):
return None
async def update_media_path(self, channel: str, message_id: int, media_path: str):
conn = self.get_db_connection(channel)
conn.execute('UPDATE messages SET media_path = ? WHERE message_id = ?',
(media_path, message_id))
conn.commit()
async def scrape_channel(self, channel: str, offset_id: int):
try:
if channel.startswith('-'):
entity = await client.get_entity(PeerChannel(int(channel)))
entity = await self.client.get_entity(PeerChannel(int(channel)))
else:
entity = await client.get_entity(channel)
entity = await self.client.get_entity(channel)
total_messages = 0
processed_messages = 0
result = await client.get_messages(entity, offset_id=offset_id, reverse=True, limit=0)
result = await self.client.get_messages(entity, offset_id=offset_id, reverse=True, limit=0)
total_messages = result.total
if total_messages == 0:
print(f"No messages found in channel {channel}.")
return
last_message_id = None
processed_messages = 0
print(f"Found {total_messages} messages in channel {channel}")
async for message in client.iter_messages(entity, offset_id=offset_id, reverse=True):
message_batch = []
media_download_tasks = []
processed_messages = 0
last_message_id = offset_id
download_semaphore = asyncio.Semaphore(self.max_concurrent_downloads)
async for message in self.client.iter_messages(entity, offset_id=offset_id, reverse=True):
try:
sender = await message.get_sender()
save_message_to_db(channel, message, sender)
if state['scrape_media'] and message.media:
media_path = await download_media(channel, message)
if media_path:
conn = sqlite3.connect(os.path.join(channel, f'{channel}.db'))
c = conn.cursor()
c.execute('''UPDATE messages SET media_path = ? WHERE message_id = ?''', (media_path, message.id))
conn.commit()
conn.close()
msg_data = MessageData(
message_id=message.id,
date=message.date.strftime('%Y-%m-%d %H:%M:%S'),
sender_id=message.sender_id,
first_name=getattr(sender, 'first_name', None) if isinstance(sender, User) else None,
last_name=getattr(sender, 'last_name', None) if isinstance(sender, User) else None,
username=getattr(sender, 'username', None) if isinstance(sender, User) else None,
message=message.message or '',
media_type=message.media.__class__.__name__ if message.media else None,
media_path=None,
reply_to=message.reply_to_msg_id if message.reply_to else None
)
message_batch.append(msg_data)
if self.state['scrape_media'] and message.media:
task = asyncio.create_task(
self.download_media_with_semaphore(download_semaphore, channel, message)
)
media_download_tasks.append((message.id, task))
last_message_id = message.id
processed_messages += 1
if len(message_batch) >= self.batch_size:
self.batch_insert_messages(channel, message_batch)
message_batch.clear()
if processed_messages % self.state_save_interval == 0:
self.state['channels'][channel] = last_message_id
self.save_state()
progress = (processed_messages / total_messages) * 100
sys.stdout.write("\r\033[K")
sys.stdout.write(f"\rScraping channel: {channel} - Progress: {progress:.2f}%")
sys.stdout.write(f"\rScraping {channel}: {progress:.1f}% ({processed_messages}/{total_messages})")
sys.stdout.flush()
state['channels'][channel] = last_message_id
save_state(state)
except Exception as e:
print(f"Error processing message {message.id}: {e}")
print()
except ValueError as e:
if message_batch:
self.batch_insert_messages(channel, message_batch)
if media_download_tasks:
print(f"\nWaiting for {len(media_download_tasks)} media downloads to complete...")
for message_id, task in media_download_tasks:
try:
media_path = await task
if media_path:
await self.update_media_path(channel, message_id, media_path)
except Exception as e:
print(f"Error in media download for message {message_id}: {e}")
self.state['channels'][channel] = last_message_id
self.save_state()
print(f"\nCompleted scraping channel {channel}")
except Exception as e:
print(f"Error with channel {channel}: {e}")
async def continuous_scraping():
global continuous_scraping_active
continuous_scraping_active = True
async def rescrape_media(self, channel: str):
conn = self.get_db_connection(channel)
cursor = conn.cursor()
cursor.execute('SELECT message_id FROM messages WHERE media_type IS NOT NULL AND media_path IS NULL')
message_ids = [row[0] for row in cursor.fetchall()]
if not message_ids:
print(f"No media files to reprocess for channel {channel}.")
return
print(f"Reprocessing {len(message_ids)} media files for channel {channel}")
try:
while continuous_scraping_active:
for channel in state['channels']:
entity = await self.client.get_entity(PeerChannel(int(channel)))
except Exception as e:
print(f"Error getting entity for channel {channel}: {e}")
return
download_semaphore = asyncio.Semaphore(self.max_concurrent_downloads)
tasks = []
batch_size = 50
for i in range(0, len(message_ids), batch_size):
batch_ids = message_ids[i:i + batch_size]
try:
messages = await self.client.get_messages(entity, ids=batch_ids)
for message in messages:
if message and message.media:
task = asyncio.create_task(
self.download_media_with_semaphore(download_semaphore, channel, message)
)
tasks.append((message.id, task))
for message_id, task in tasks[-len([m for m in messages if m and m.media]):]:
try:
media_path = await task
if media_path:
await self.update_media_path(channel, message_id, media_path)
except Exception as e:
print(f"Error downloading media for message {message_id}: {e}")
progress = min(100, (i + batch_size) / len(message_ids) * 100)
sys.stdout.write(f"\rReprocessing media: {progress:.1f}%")
sys.stdout.flush()
except Exception as e:
print(f"Error processing batch starting at {i}: {e}")
print(f"\nCompleted media reprocessing for channel {channel}")
async def continuous_scraping(self):
self.continuous_scraping_active = True
try:
while self.continuous_scraping_active:
start_time = time.time()
for channel in self.state['channels']:
if not self.continuous_scraping_active:
break
print(f"\nChecking for new messages in channel: {channel}")
await scrape_channel(channel, state['channels'][channel])
print(f"New messages or media scraped from channel: {channel}")
await asyncio.sleep(60)
await self.scrape_channel(channel, self.state['channels'][channel])
elapsed = time.time() - start_time
sleep_time = max(0, 60 - elapsed)
if sleep_time > 0:
await asyncio.sleep(sleep_time)
except asyncio.CancelledError:
print("Continuous scraping stopped.")
continuous_scraping_active = False
finally:
self.continuous_scraping_active = False
async def export_data():
for channel in state['channels']:
export_to_csv(channel)
export_to_json(channel)
def export_to_csv_optimized(self, channel: str):
conn = self.get_db_connection(channel)
csv_file = Path(channel) / f'{channel}.csv'
def export_to_csv(channel):
db_file = os.path.join(channel, f'{channel}.db')
csv_file = os.path.join(channel, f'{channel}.csv')
conn = sqlite3.connect(db_file)
c = conn.cursor()
c.execute('SELECT * FROM messages')
rows = c.fetchall()
conn.close()
cursor = conn.cursor()
cursor.execute('SELECT * FROM messages ORDER BY date')
columns = [description[0] for description in cursor.description]
with open(csv_file, 'w', newline='', encoding='utf-8') as f:
writer = csv.writer(f)
writer.writerow([description[0] for description in c.description])
writer.writerow(columns)
while True:
rows = cursor.fetchmany(1000)
if not rows:
break
writer.writerows(rows)
def export_to_json(channel):
db_file = os.path.join(channel, f'{channel}.db')
json_file = os.path.join(channel, f'{channel}.json')
conn = sqlite3.connect(db_file)
c = conn.cursor()
c.execute('SELECT * FROM messages')
rows = c.fetchall()
conn.close()
def export_to_json_optimized(self, channel: str):
conn = self.get_db_connection(channel)
json_file = Path(channel) / f'{channel}.json'
cursor = conn.cursor()
cursor.execute('SELECT * FROM messages ORDER BY date')
columns = [description[0] for description in cursor.description]
data = [dict(zip([description[0] for description in c.description], row)) for row in rows]
with open(json_file, 'w', encoding='utf-8') as f:
json.dump(data, f, ensure_ascii=False, indent=4)
f.write('[\n')
first_row = True
async def view_channels():
if not state['channels']:
while True:
rows = cursor.fetchmany(1000)
if not rows:
break
for row in rows:
if not first_row:
f.write(',\n')
else:
first_row = False
data = dict(zip(columns, row))
json.dump(data, f, ensure_ascii=False, indent=2)
f.write('\n]')
async def export_data(self):
for channel in self.state['channels']:
print(f"Exporting data for channel {channel}...")
self.export_to_csv_optimized(channel)
self.export_to_json_optimized(channel)
print(f"Completed export for channel {channel}")
async def view_channels(self):
if not self.state['channels']:
print("No channels to view.")
return
print("\nCurrent channels:")
for channel, last_id in state['channels'].items():
for channel, last_id in self.state['channels'].items():
try:
conn = self.get_db_connection(channel)
cursor = conn.cursor()
cursor.execute('SELECT COUNT(*) FROM messages')
count = cursor.fetchone()[0]
print(f"Channel ID: {channel}, Last Message ID: {last_id}, Messages: {count}")
except:
print(f"Channel ID: {channel}, Last Message ID: {last_id}")
async def list_Channels():
async def list_channels(self):
try:
print("\nList of channels joined by account: ")
async for dialog in client.iter_dialogs():
if (dialog.id != 777000):
print("\nList of channels joined by account:")
async for dialog in self.client.iter_dialogs():
if dialog.id != 777000:
print(f"* {dialog.title} (id: {dialog.id})")
except Exception as e:
print(f"Error processing: {e}")
print(f"Error listing channels: {e}")
async def initialize_client(self):
if not all([self.state['api_id'], self.state['api_hash'], self.state['phone']]):
self.state['api_id'] = int(input("Enter your API ID: "))
self.state['api_hash'] = input("Enter your API Hash: ")
self.state['phone'] = input("Enter your phone number: ")
self.save_state()
async def manage_channels():
self.client = TelegramClient('session', self.state['api_id'], self.state['api_hash'])
await self.client.start()
async def manage_channels(self):
while True:
print("\nMenu:")
print("[A] Add new channel")
print("[R] Remove channel")
print("[S] Scrape all channels")
print("[M] Toggle media scraping (currently {})".format(
"enabled" if state['scrape_media'] else "disabled"))
"enabled" if self.state['scrape_media'] else "disabled"))
print("[C] Continuous scraping")
print("[E] Export data")
print("[V] View saved channels")
@@ -283,57 +434,77 @@ async def manage_channels():
print("[Q] Quit")
choice = input("Enter your choice: ").lower()
match (choice):
match choice:
case 'a':
channel = input("Enter channel ID: ")
state['channels'][channel] = 0
save_state(state)
self.state['channels'][channel] = 0
self.save_state()
print(f"Added channel {channel}.")
case 'r':
channel = input("Enter channel ID to remove: ")
if channel in state['channels']:
del state['channels'][channel]
save_state(state)
if channel in self.state['channels']:
del self.state['channels'][channel]
self.save_state()
print(f"Removed channel {channel}.")
else:
print(f"Channel {channel} not found.")
case 's':
for channel in state['channels']:
await scrape_channel(channel, state['channels'][channel])
for channel in self.state['channels']:
await self.scrape_channel(channel, self.state['channels'][channel])
case 'm':
state['scrape_media'] = not state['scrape_media']
save_state(state)
print(
f"Media scraping {'enabled' if state['scrape_media'] else 'disabled'}.")
self.state['scrape_media'] = not self.state['scrape_media']
self.save_state()
print(f"Media scraping {'enabled' if self.state['scrape_media'] else 'disabled'}.")
case 'c':
global continuous_scraping_active
continuous_scraping_active = True
task = asyncio.create_task(continuous_scraping())
task = asyncio.create_task(self.continuous_scraping())
print("Continuous scraping started. Press Ctrl+C to stop.")
try:
await asyncio.sleep(float('inf'))
except KeyboardInterrupt:
continuous_scraping_active = False
self.continuous_scraping_active = False
task.cancel()
print("\nStopping continuous scraping...")
try:
await task
except asyncio.CancelledError:
pass
case 'e':
await export_data()
await self.export_data()
case 'v':
await view_channels()
await self.view_channels()
case 'l':
await self.list_channels()
case 'q':
print("Quitting...")
self.close_db_connections()
await self.client.disconnect()
sys.exit()
case 'l':
await list_Channels()
case _:
print("Invalid option.")
async def run(self):
display_ascii_art()
await self.initialize_client()
try:
await self.manage_channels()
finally:
self.close_db_connections()
if self.client:
await self.client.disconnect()
async def main():
await client.start()
while True:
await manage_channels()
scraper = OptimizedTelegramScraper()
await scraper.run()
if __name__ == '__main__':
try: