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Add new sessions docs
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@ -25,29 +25,89 @@ file, so that you can quickly access them by username or phone number.
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If you're not going to work with updates, or don't need to cache the
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``access_hash`` associated with the entities' ID, you can disable this
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by setting ``client.session.save_entities = False``, or pass it as a
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parameter to the ``TelegramClient``.
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by setting ``client.session.save_entities = False``.
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If you don't want to save the files as a database, you can also create
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your custom ``Session`` subclass and override the ``.save()`` and ``.load()``
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methods. For example, you could save it on a database:
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Custom Session Storage
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----------------------
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If you don't want to use the default SQLite session storage, you can also use
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one of the other implementations or implement your own storage.
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To use a custom session storage, simply pass the custom session instance to
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``TelegramClient`` instead of the session name.
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Currently, there are three implementations of the abstract ``Session`` class:
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* MemorySession. Stores session data in Python variables.
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* SQLiteSession, the default. Stores sessions in their own SQLite databases.
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* AlchemySession. Stores all sessions in a single database via SQLAlchemy.
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Using AlchemySession
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~~~~~~~~~~~~~~~~~~~~
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The AlchemySession implementation can store multiple Sessions in the same
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database, but to do this, each session instance needs to have access to the
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same models and database session.
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To get started, you need to create an ``AlchemySessionContainer`` which will
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contain that shared data. The simplest way to use ``AlchemySessionContainer``
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is to simply pass it the database URL:
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.. code-block:: python
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class DatabaseSession(Session):
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def save():
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# serialize relevant data to the database
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container = AlchemySessionContainer('mysql://user:pass@localhost/telethon')
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def load():
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# load relevant data to the database
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If you already have SQLAlchemy set up for your own project, you can also pass
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the engine separately:
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.. code-block:: python
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my_sqlalchemy_engine = sqlalchemy.create_engine('...')
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container = AlchemySessionContainer(engine=my_sqlalchemy_engine)
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By default, the session container will manage table creation/schema updates/etc
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automatically. If you want to manage everything yourself, you can pass your
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SQLAlchemy Session and ``declarative_base`` instances and set ``manage_tables``
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to ``False``:
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.. code-block:: python
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy import orm
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import sqlalchemy
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...
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session_factory = orm.sessionmaker(bind=my_sqlalchemy_engine)
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session = session_factory()
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my_base = declarative_base()
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...
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container = AlchemySessionContainer(session=session, table_base=my_base, manage_tables=False)
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You always need to provide either ``engine`` or ``session`` to the container.
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If you set ``manage_tables=False`` and provide a ``session``, ``engine`` is not
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needed. In any other case, ``engine`` is always required.
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After you have your ``AlchemySessionContainer`` instance created, you can
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create new sessions by calling ``new_session``:
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.. code-block:: python
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session = container.new_session('some session id')
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client = TelegramClient(session)
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where ``some session id`` is an unique identifier for the session.
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Creating your own storage
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~~~~~~~~~~~~~~~~~~~~~~~~~
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The easiest way to create your own implementation is to use MemorySession as
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the base and check out how ``SQLiteSession`` or ``AlchemySession`` work. You
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can find the relevant Python files under the ``sessions`` directory.
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You should read the ````session.py```` source file to know what "relevant
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data" you need to keep track of.
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Sessions and Heroku
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-------------------
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SQLite Sessions and Heroku
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--------------------------
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You probably have a newer version of SQLite installed (>= 3.8.2). Heroku uses
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SQLite 3.7.9 which does not support ``WITHOUT ROWID``. So, if you generated
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@ -59,8 +119,8 @@ session file on your Heroku dyno itself. The most complicated is creating
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a custom buildpack to install SQLite >= 3.8.2.
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Generating a Session File on a Heroku Dyno
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Generating a SQLite Session File on a Heroku Dyno
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. note::
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Due to Heroku's ephemeral filesystem all dynamically generated
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