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92
docs/source/topics/create-filters.rst
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92
docs/source/topics/create-filters.rst
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Creating Filters
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================
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Pyrogram already provides lots of built-in :class:`~pyrogram.Filters` to work with, but in case you can't find
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a specific one for your needs or want to build a custom filter by yourself (to be used in a different kind of handler,
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for example) you can use :meth:`~pyrogram.Filters.create`.
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.. note::
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At the moment, the built-in filters are intended to be used with the :class:`~pyrogram.MessageHandler` only.
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Custom Filters
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--------------
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An example to demonstrate how custom filters work is to show how to create and use one for the
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:class:`~pyrogram.CallbackQueryHandler`. Note that callback queries updates are only received by bots; create and
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:doc:`authorize your bot <../start/auth>`, then send a message with an inline keyboard to yourself. This allows you to
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test your filter by pressing the inline button:
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.. code-block:: python
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from pyrogram import InlineKeyboardMarkup, InlineKeyboardButton
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app.send_message(
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"username", # Change this to your username or id
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"Pyrogram's custom filter test",
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reply_markup=InlineKeyboardMarkup(
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[[InlineKeyboardButton("Press me", b"pyrogram")]]
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)
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)
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Basic Filters
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-------------
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For this basic filter we will be using only the first two parameters of :meth:`~pyrogram.Filters.create`.
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The code below creates a simple filter for hardcoded, static callback data. This filter will only allow callback queries
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containing "Pyrogram" as data, that is, the function *func* you pass returns True in case the callback query data
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equals to ``b"Pyrogram"``.
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.. code-block:: python
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static_data = Filters.create(
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name="StaticdData",
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func=lambda flt, callback_query: callback_query.data == b"Pyrogram"
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)
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The ``lambda`` operator in python is used to create small anonymous functions and is perfect for this example, the same
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could be achieved with a normal function, but we don't really need it as it makes sense only inside the filter's scope:
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.. code-block:: python
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def func(flt, callback_query):
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return callback_query.data == b"Pyrogram"
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static_data = Filters.create(
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name="StaticData",
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func=func
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)
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The filter usage remains the same:
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.. code-block:: python
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@app.on_callback_query(static_data)
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def pyrogram_data(client, callback_query):
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client.answer_callback_query(callback_query.id, "it works!")
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Filters with Arguments
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----------------------
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A much cooler filter would be one that accepts "Pyrogram" or any other data as argument at usage time.
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A dynamic filter like this will make use of the third parameter of :meth:`~pyrogram.Filters.create`.
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This is how a dynamic custom filter looks like:
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.. code-block:: python
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def dynamic_data(data):
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return Filters.create(
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name="DynamicData",
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func=lambda flt, callback_query: flt.data == callback_query.data,
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data=data # "data" kwarg is accessed with "filter.data"
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)
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And its usage:
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.. code-block:: python
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@app.on_callback_query(dynamic_data(b"Pyrogram"))
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def pyrogram_data(client, callback_query):
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client.answer_callback_query(callback_query.id, "it works!")
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135
docs/source/topics/debugging.rst
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135
docs/source/topics/debugging.rst
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Debugging
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=========
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When working with the API, chances are you'll stumble upon bugs, get stuck and start wondering how to continue. Nothing
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to actually worry about -- that's normal -- and luckily for you, Pyrogram provides some commodities to help you in this.
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Caveman Debugging
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-----------------
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*The most effective debugging tool is still careful thought, coupled with judiciously placed print statements.*
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-- Brian Kernighan, "Unix for Beginners" (1979)
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Adding ``print()`` statements in crucial parts of your code is by far the most ancient, yet efficient technique for
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debugging programs, especially considering the concurrent nature of the framework itself. Pyrogram goodness in this
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respect comes with the fact that any object can be nicely printed just by calling ``print(obj)``, thus giving to you
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an insight of all its inner details.
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Consider the following code:
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.. code-block:: python
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dan = app.get_users("haskell")
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print(dan) # User
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This will show a JSON representation of the object returned by :meth:`~pyrogram.Client.get_users`, which is a
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:class:`~pyrogram.User` instance, in this case. The output on your terminal will be something similar to this:
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.. code-block:: json
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{
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"_": "pyrogram.User",
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"id": 23122162,
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"is_self": false,
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"is_contact": false,
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"is_mutual_contact": false,
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"is_deleted": false,
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"is_bot": false,
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"is_verified": false,
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"is_restricted": false,
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"is_support": false,
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"is_scam": false,
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"first_name": "Dan",
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"status": {
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"_": "pyrogram.UserStatus",
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"user_id": 23122162,
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"recently": true
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},
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"username": "haskell",
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"language_code": "en",
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"photo": {
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"_": "pyrogram.ChatPhoto",
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"small_file_id": "AQADBAAD8tBgAQAEJjCxGgAEo5IBAAIC",
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"big_file_id": "AQADBAAD8tBgAQAEJjCxGgAEpZIBAAEBAg"
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}
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}
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As you've probably guessed already, Pyrogram objects can be nested. That's how compound data are built, and nesting
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keeps going until we are left with base data types only, such as ``str``, ``int``, ``bool``, etc.
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Accessing Attributes
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--------------------
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Even though you see a JSON output, it doesn't mean we are dealing with dictionaries; in fact, all Pyrogram types are
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full-fledged Python objects and the correct way to access any attribute of them is by using the dot notation ``.``:
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.. code-block:: python
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dan_photo = dan.photo
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print(dan_photo) # ChatPhoto
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.. code-block:: json
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{
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"_": "pyrogram.ChatPhoto",
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"small_file_id": "AQADBAAD8tBgAQAEJjCxGgAEo5IBAAIC",
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"big_file_id": "AQADBAAD8tBgAQAEJjCxGgAEpZIBAAEBAg"
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}
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However, the bracket notation ``[]`` is also supported, but its usage is discouraged:
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.. warning::
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Bracket notation in Python is not commonly used for getting/setting object attributes. While it works for Pyrogram
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objects, it might not work for anything else and you should not rely on this.
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.. code-block:: python
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dan_photo_big = dan["photo"]["big_file_id"]
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print(dan_photo_big) # str
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.. code-block:: text
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AQADBAAD8tBgAQAEJjCxGgAEpZIBAAEBAg
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Checking an Object's Type
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-------------------------
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Another thing worth talking about is how to tell and check for an object's type.
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As you noticed already, when printing an object you'll see the special attribute ``"_"``. This is just a visual thing
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useful to show humans the object type, but doesn't really exist anywhere; any attempt in accessing it will lead to an
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error. The correct way to get the object type is by using the built-in function ``type()``:
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.. code-block:: python
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dan_status = dan.status
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print(type(dan_status))
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.. code-block:: text
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<class 'pyrogram.UserStatus'>
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And to check if an object is an instance of a given class, you use the built-in function ``isinstance()``:
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.. code-block:: python
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:name: this-py
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from pyrogram import UserStatus
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dan_status = dan.status
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print(isinstance(dan_status, UserStatus))
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.. code-block:: text
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True
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.. raw:: html
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<script>
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var e = document.querySelector("blockquote p.attribution");
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var s = e.innerHTML;
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e.innerHTML = s[0] + " " + s.slice(1);
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</script>
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@@ -105,93 +105,3 @@ More handlers using different filters can also live together.
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@app.on_message(Filters.chat("PyrogramChat"))
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def from_pyrogramchat(client, message):
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print("New message in @PyrogramChat")
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Custom Filters
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--------------
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Pyrogram already provides lots of built-in :class:`~pyrogram.Filters` to work with, but in case you can't find
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a specific one for your needs or want to build a custom filter by yourself (to be used in a different kind of handler,
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for example) you can use :meth:`~pyrogram.Filters.create`.
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.. note::
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At the moment, the built-in filters are intended to be used with the :class:`~pyrogram.MessageHandler` only.
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An example to demonstrate how custom filters work is to show how to create and use one for the
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:class:`~pyrogram.CallbackQueryHandler`. Note that callback queries updates are only received by bots; create and
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:doc:`authorize your bot <../start/auth>`, then send a message with an inline keyboard to yourself. This allows you to
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test your filter by pressing the inline button:
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.. code-block:: python
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from pyrogram import InlineKeyboardMarkup, InlineKeyboardButton
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app.send_message(
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"username", # Change this to your username or id
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"Pyrogram's custom filter test",
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reply_markup=InlineKeyboardMarkup(
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[[InlineKeyboardButton("Press me", b"pyrogram")]]
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)
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)
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Basic Filters
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^^^^^^^^^^^^^
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For this basic filter we will be using only the first two parameters of :meth:`~pyrogram.Filters.create`.
|
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|
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The code below creates a simple filter for hardcoded, static callback data. This filter will only allow callback queries
|
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containing "Pyrogram" as data, that is, the function *func* you pass returns True in case the callback query data
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equals to ``b"Pyrogram"``.
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.. code-block:: python
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static_data = Filters.create(
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name="StaticdData",
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func=lambda flt, callback_query: callback_query.data == b"Pyrogram"
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)
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The ``lambda`` operator in python is used to create small anonymous functions and is perfect for this example, the same
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could be achieved with a normal function, but we don't really need it as it makes sense only inside the filter's scope:
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.. code-block:: python
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def func(flt, callback_query):
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return callback_query.data == b"Pyrogram"
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static_data = Filters.create(
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name="StaticData",
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func=func
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)
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The filter usage remains the same:
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.. code-block:: python
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@app.on_callback_query(static_data)
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def pyrogram_data(client, callback_query):
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client.answer_callback_query(callback_query.id, "it works!")
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Filters with Arguments
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^^^^^^^^^^^^^^^^^^^^^^
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A much cooler filter would be one that accepts "Pyrogram" or any other data as argument at usage time.
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A dynamic filter like this will make use of the third parameter of :meth:`~pyrogram.Filters.create`.
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This is how a dynamic custom filter looks like:
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.. code-block:: python
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def dynamic_data(data):
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return Filters.create(
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name="DynamicData",
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func=lambda flt, callback_query: flt.data == callback_query.data,
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data=data # "data" kwarg is accessed with "filter.data"
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)
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And its usage:
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.. code-block:: python
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@app.on_callback_query(dynamic_data(b"Pyrogram"))
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def pyrogram_data(client, callback_query):
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client.answer_callback_query(callback_query.id, "it works!")
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