Telegram 2 Elastic is a Telegram client which writes all chat messages to multiple outputs like Elasticsearch in realtime.
With the data stored in Elasticsearch, you can use applications like Kibana or Grafana to visualize the chats. Or you may use it as a much better search engine compared to the one implemented in the available Telegram clients.
pip3 install -r requirements.txt
It is supported to write to multiple outputs. You may pick any combination of the following output types:
elasticsearch
: Write to an Elasticsearch instancefile
: Write a line in JSON format for each message into a fileredis
: Append messages encoded as JSON to a list in Redistcp
: Send messages as JSON strings to any TCP socketIt is also possible to configure the same output type multiple times but using different endpoints.
For each output, it is possible to customize the output map which is written to the output.
The output map can be specified using the output_map
config property of the output.
Each property of the map defines a piece of Python code which should be executed to get the value for each field.
By default, the following map is used:
id: "message.id"
date: "message.date"
sender: "sender"
chat: "get_display_name(await message.get_chat())"
message: "message.text"
It is not only possible to store the text messages in something like Elasticsearch. There is also the possibility to download media files attached to those messages.
To enable that, you simply add the following configuration to your config.yml
:
media:
download_path: /path/where/to/put/media-files
There are also some more options to restrict those downloads to specific file types, chats or limit them by size. For more options, have a look into the config.sample.yml.
It is possible to use the Telegram API to translate messages.
You might specify the target language using the translate_to_lang
property in your config.yml
:
translate_to_lang: "en"
Note: Use the two-letter ISO 639-1 language code (examples: "de", "en", "es", "it").
The translated message will be written into translated_text
which can be mapped to any field using the output map configuration in your config.yml
:
output_map:
"message.original": "message.text"
"message.translated": "translated_text"
When started for the first time, the application will ask you to connect with your Telegram account.
listen
- Listen for chat messages and write them to the configured outputsimport-history
- Import the chat history (the complete history or only for specific chats or a specific time range)list-chats
- List available chats