71 lines
2.3 KiB
Markdown
71 lines
2.3 KiB
Markdown
[![Join the chat at https://gitter.im/griganton/telepy](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/griganton/telepy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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# About this repo
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This is Telegram API for python.
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Main aim is to implement MTProto protocol Telegram API on pure Python (not wrapped CLI)
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### Plan
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- [ ] Make it work on Python 2 as well as 3.
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- [ ] Follow up the same functionality of CLI API.
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- [x] Serialize/Deserialize
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- [x] Send and receive PQ authorization with server [[doc]] (https://core.telegram.org/mtproto/samples-auth_key)
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- [ ] Send and receive service messages with server like logging in to server [[doc]] (https://core.telegram.org/mtproto/service_messages)
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### Useful start points to join
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Detailed description of API and protocol can be found here:
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* https://core.telegram.org/api
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* https://core.telegram.org/mtproto
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API registration is needed to be done by yourself at http://my.telegram.org
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Follow Structure - Credentials for provide it your API information.
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# Structure
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- mtproto.py
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- testing.py
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- prime.py
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- credentials
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- rsa.pub
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## Credentials
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Repo doesn't contain any credentials to connect Telegram servers.
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You can get yours from http://my.telegram.org
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You should place 2 files in the root of your repo:
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- credentials
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- rsa.pub
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Config example for "credentials" file:
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```
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[App data]
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api_id: 12345
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api_hash: 1234567890abcdef1234567890abcdef
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ip_address: 112.134.156.178
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port: 443
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```
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rsa.pub contains your RSA key.
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## mtproto.py
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Contains functions to work with MTproto protocol:
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- TL schema parsing
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- serializing and deserializing
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- manage connections to server
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- send and receive messages
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## testing.py
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testing.py is used to test functionality of modules.
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Now it makes steps from https://core.telegram.org/mtproto/samples-auth_key:
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- sends PQ request to server
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- parses the result
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- factorizes PQ
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## prime.py
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prime.py is used in PQ factorization. It has been copied from https://stackoverflow.com/questions/4643647/fast-prime-factorization-module
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## TL schema
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We use JSON format TL Shema. TL Schema file contains information about objects and methods, it is located in TL_schema.JSON file in the root of repo. It is fully equivalent to JSON TL Schema from
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https://core.telegram.org/schema/mtproto-json
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