Cleaned up README and moved config info out of version control
Clarified naming of some things.
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.gitignore
vendored
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# Never commit config data
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config.cnf
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# Byte-compiled / optimized / DLL files
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*.py[cod]
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# Distribution / packaging
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.Python
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env/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib64/
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parts/
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sdist/
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var/
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*.egg-info/
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.installed.cfg
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*.egg
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origin-telegram-logger-bot
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README.md
33
README.md
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# Telegram Group Chat Logger
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This is a bot that logs public Group Chats to an SQL Database.
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This is a bot that logs public Group Chats to a Postgres Database.
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## Installation
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- Required: Python 3.X , PostgreSQL, Telegram Bot
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- Required: Python 3.x, pip, PostgreSQL
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- Clone this repo
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- `pip install requirements.txt`
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- `pip install --upgrade -r requirements.txt`
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## Bot/Group Setup
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## Telegram Bot Setup
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- Create a group
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- Create a bot by talking to BotFather: https://core.telegram.org/bots#creating-a-new-bot
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- Store your Telegram Bot Token in environment variable `BOT_TOKEN`. It will look similar to this:
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```
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export TELEGRAM_BOT_TOKEN="4813829027:ADJFKAf0plousH2EZ2jBfxxRWFld3oK34ya"
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```
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- Create a Telegram group.
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- Add your bot to the group like so: https://stackoverflow.com/questions/37338101/how-to-add-a-bot-to-a-telegram-group
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- your bot only sees commands. Use `/setprivacy` with `@BotFather` in order to allow it to see all messages in a group.
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- Your bot only sees commands. Use `/setprivacy` with `@BotFather` in order to allow it to see all messages in a group.
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## Running the bot
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- Create a Database, eg. `origindb`
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- Store your Telegram Bot Token in an environment variable, eg. `echo $ORIGINTOKEN`
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- Add your DB credentials to `model.py` eg. `engine = create_engine('postgresql://postgres:<password>@localhost:5432/<databasename>')`
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- Run: `python model.py` to setup the DB tables, etc.
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- Create a Postgres database.
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```
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$psql
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CREATE DATABASE telegram_bot_db;
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```
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- Copy `config.cnf.sample` to `config.cnf` and edit the databse connection URL. File should look like this:
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```
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[postgres]
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postgres_url = postgresql://<user>:<password>@localhost:5432/<databasename>
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```
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- Run: `python model.py` to setup the DB tables.
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- Run: `python bot.py` to start logger
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- When a messages is successfully logged, `message logged` will be displayed.
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2
bot.py
2
bot.py
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def main():
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"""Start the bot."""
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# Create the EventHandler and pass it your bot's token.
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updater = Updater(os.environ["ORIGINTOKEN"])
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updater = Updater(os.environ["TELEGRAM_BOT_TOKEN"])
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# Get the dispatcher to register handlers
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dp = updater.dispatcher
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config.cnf.sample
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config.cnf.sample
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[postgres]
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postgres_url = postgresql://<username>:<password>@localhost:5432/<databasename>
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model.py
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model.py
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from sqlalchemy import Column, DateTime, String, Integer, ForeignKey, func
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from sqlalchemy.orm import relationship, backref
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from sqlalchemy.ext.declarative import declarative_base
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import ConfigParser
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config = ConfigParser.ConfigParser()
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config.read("config.cnf")
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postgres_url = config.get('postgres', 'postgres_url')
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'''
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This model has been referenced from: https://www.pythoncentral.io/sqlalchemy-orm-examples/
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@ -29,9 +33,10 @@ class Message(Base):
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from sqlalchemy import create_engine
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engine = create_engine('postgresql://postgres:<password>@localhost:5432/origindb')
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engine = create_engine(postgres_url)
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from sqlalchemy.orm import sessionmaker
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session = sessionmaker()
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session.configure(bind=engine)
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Base.metadata.create_all(engine)
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print "Created database model"
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psycopg2==2.7.3.2
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python-telegram-bot==9.0.0
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SQLAlchemy==1.2.2
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configparser==3.5.0
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