Telegram Bot Logger is a Python library that allows you to send logging logs to Telegram using the Bot API. It simplifies the process of integrating Telegram bot notifications into your Python applications, making it easy to monitor and manage your application's logs.
You can install telegram_bot_logger
using pip:
pip install telegram-bot-logger
Replace YOUR_BOT_TOKEN
and chat_ids
with your actual bot token and chat IDs. You can obtain a bot token by creating a new bot on Telegram and obtaining it from the BotFather.
import telegram_bot_logger
import logging
logger = logging.getLogger("telegram_bot_logger_example")
handler = telegram_bot_logger.TelegramMessageHandler(
bot_token = "YOUR_BOT_TOKEN", # Required; bot's token from @BotFather
chat_ids = [
12345678, # For group chat id, make sure you pass the chat id as integer
"@username"
], # Required; you can pass id as integer or username as string
api_server = telegram_bot_logger.api_server.TelegramAPIServer(
base = "https://api.telegram.org/bot{bot_token}/{method}"
), # Optional; set by default
format_type = "text" or "TEXT" or telegram_bot_logger.formatters.FormatType.TEXT, # Optional; also can be "DOCUMENT", by default it is "TEXT"
document_name_strategy = "timestamp" or "TIMESTAMP" or telegram_bot_logger.formatters.DocumentNameStrategy.TIMESTAMP, # Optional; used to define documents' names; also can be "ARGUMENT", by default it is "TIMESTAMP"
proxies = {
"http://": "http://localhost:8080"
} or "http://localhost:8080", # Optional; "dict[scheme, url]" or just "url"
formatter = formatters.TelegramHTMLTextFormatter(), # Optional; you can create your own class inherited from formatters.TelegramBaseFormatter and pass it
additional_body = {
"reply_to_message_id": 1
} # Optional; additional request body on sendMessage and sendDocument
)
logger.setLevel(
level = logging.DEBUG
)
logger.addHandler(handler)
logger.debug("debug-message")
# Or:
logger.debug("debug-message", extra={"document_name": 123}) # 123 is an argument; to use this feature you need to set format_type = formatters.FormatType.DOCUMENT and document_name_strategy = formatters.DocumentNameStrategy.ARGUMENT
It is highly recommend using string formatters in log messages, as these are not expanded if the logging level is not high enough, making difference in performance critical applications:
# Use string formatter to avoid formatting an excessive log message argument
long_list = list(range(1000))
logger.info("My long list is: %s", long_list)
You can also show tracebacks:
try:
raise RuntimeError("Ooops I did it again")
except Exception as e:
logger.exception(e)
This logging handler creates a daemon background thread, as it uses Python's internal QueueHandler. The thread is closed with Python's atexit
handler. However for some applications, like pytest, to cleanly shut down, you may need to shutdown the handler manually.
# Release any background threads created by the Telegram logging handler
handler.close()
Here is an example how to customise Telegram output a bit:
import logging
import telegram_bot_logger
from telegram_bot_logger.formatters import TelegramHTMLTextFormatter
# Fine tune our Telegram chat output
formatter = TelegramHTMLTextFormatter()
formatter._EMOTICONS[logging.TRADE] = "💰" # Patch in the custom log level if you have added any
formatter._TAG_FORMAT = "" # Disable tags in the output
formatter._HEADER_FORMAT = "<pre>{emoticon} {message}{description}</pre>" # Disable line no + module in the output
telegram_handler = telegram_bot_logger.TelegramMessageHandler(
bot_token=telegram_api_key, # Required; bot's token from @BotFather
chat_ids=[
int(telegram_chat_id) # Make sure group chat ids are integer
],
format_type="text",
formatter=formatter,
level=logging.INFO,
)
logging.getLogger().addHandler(telegram_handler)
For advanced usage, see this pull request which integrates telegram_bot_logger
to an existing complex application,
with a manual test suite.
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If you need an alternative for Telegram, see python-logging-discord-handler package.