2016-06-26 18:49:35 +02:00
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# Python static type checker (mypy)
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2016-04-27 10:28:12 +02:00
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[mypy](http://mypy-lang.org/) is a compile-time static type checker
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for Python, allowing optional, gradual typing of Python code. Zulip
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2018-01-23 20:14:35 +01:00
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was fully annotated with mypy's Python 2 syntax in 2016, before our
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migration to Python 3 in late 2017.
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2017-11-05 03:46:32 +01:00
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As a result, Zulip is in the process of migrating from using mypy's
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2018-01-23 20:14:35 +01:00
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Python 2 compatible syntax for type annotations (in which type
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annotations are written inside comments that start with `# type: `) to
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2017-11-05 03:46:32 +01:00
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the Python 3 syntax. Here's a brief example of the mypy syntax we're
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2016-04-27 10:28:12 +02:00
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using in Zulip:
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```
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user_dict = {} # type: Dict[str, UserProfile]
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2017-10-27 10:48:19 +02:00
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def get_user(email: str, realm: Realm) -> UserProfile:
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... # Actual code of the function here
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```
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You can learn more about it at:
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2017-11-05 03:46:32 +01:00
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* The
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[mypy cheat sheet for Python 3](http://mypy.readthedocs.io/en/latest/cheat_sheet_py3.html)
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2018-05-14 02:23:01 +02:00
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is the best resource for quickly understanding how to write the PEP
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484 type annotations used by mypy correctly.
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2016-06-10 12:58:19 +02:00
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2018-05-14 02:23:01 +02:00
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* The
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[Python type annotation spec in PEP 484](https://www.python.org/dev/peps/pep-0484/)
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2016-04-27 10:28:12 +02:00
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The mypy type checker is run automatically as part of Zulip's Travis
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CI testing process in the `backend` build.
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2016-04-27 10:28:12 +02:00
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2018-07-27 00:06:22 +02:00
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You can learn a lot more about mypy from our blog post on being an
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early adopted of mypy back in 2016:
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https://blog.zulip.org/2016/10/13/static-types-in-python-oh-mypy/
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## mypy stubs for third-party modules.
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For the Python standard library and some popular third-party modules,
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the [typeshed project](https://github.com/python/typeshed) has
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[stubs](https://github.com/python/mypy/wiki/Creating-Stubs-For-Python-Modules),
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basically the equivalent of C header files defining the types used in
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these Python APIs.
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For other third-party modules that we call from Zulip, one either
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needs to add an `ignore_missing_imports` entry in `mypy.ini` in the
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root of the project, letting `mypy` know that it's third-party code,
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or add type stubs to the `stubs/` directory, which has type stubs that
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mypy can use to type-check calls into that third-party module.
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It's easy to add new stubs! Just read the docs, look at some of
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existing examples to see how they work, and remember to remove the
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`ignore_missing_imports` entry in `mypy.ini` when you add them.
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For any third-party modules that don't have stubs, `mypy` treats
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everything in the third-party module as an `Any`, which is the right
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model (one certainly wouldn't want to need stubs for everything just
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to use `mypy`!), but means the code can't be fully type-checked.
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2016-07-21 19:26:47 +02:00
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## `type_debug.py`
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`zerver/lib/type_debug.py` has a useful decorator `print_types`. It
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prints the types of the parameters of the decorated function and the
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return type whenever that function is called. This can help find out
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what parameter types a function is supposed to accept, or if
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parameters with the wrong types are being passed to a function.
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Here is an example using the interactive console:
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```
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>>> from zerver.lib.type_debug import print_types
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>>>
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>>> @print_types
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... def func(x, y):
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... return x + y
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...
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>>> func(1.0, 2)
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func(float, int) -> float
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3.0
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>>> func('a', 'b')
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func(str, str) -> str
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'ab'
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>>> func((1, 2), (3,))
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func((int, int), (int,)) -> (int, int, int)
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(1, 2, 3)
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>>> func([1, 2, 3], [4, 5, 6, 7])
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func([int, ...], [int, ...]) -> [int, ...]
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[1, 2, 3, 4, 5, 6, 7]
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```
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`print_all` prints the type of the first item of lists. So `[int, ...]` represents
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a list whose first element's type is `int`. Types of all items are not printed
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because a list can have many elements, which would make the output too large.
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Similarly in dicts, one key's type and the corresponding value's type are printed.
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So `{1: 'a', 2: 'b', 3: 'c'}` will be printed as `{int: str, ...}`.
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2016-04-27 10:28:12 +02:00
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## Installing mypy
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If you installed Zulip's development environment correctly, mypy
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should already be installed inside the Python 3 virtualenv at
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`zulip-py3-venv` (mypy only supports Python 3).
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2017-08-15 16:23:55 +02:00
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If you'd like to install just the version of `mypy` that we're using
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(useful if e.g. you want `mypy` installed on your laptop outside the
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Vagrant guest), you can do that with `pip install -r
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requirements/mypy.txt`.
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2016-04-27 10:28:12 +02:00
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## Running mypy on Zulip's code locally
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2018-10-10 03:07:29 +02:00
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To run mypy on Zulip's python code, you can run the command:
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tools/run-mypy
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2018-10-10 03:07:29 +02:00
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You can also run mypy as a long-running daemon (server) process and send
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type-checking requests to the server via the command:
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tools/run-mypy -d
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While the mypy daemon is experimental and currently supports macOS and Linux
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only, **we strongly recommend using the daemon** if it is an option. Program
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state from previous runs will be cached in memory and will not have to be
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read from the file system on each run. For a large codebase like Zulip's
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and a workflow involving running mypy repeatedly after small edits, using
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the daemon can be *10 or more times faster*.
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Mypy will output errors in the same style as a compiler would. For
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example, if your code has a type error like this:
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```
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foo = 1
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foo = '1'
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```
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you'll get an error like this:
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```
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test.py: note: In function "test":
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test.py:200: error: Incompatible types in assignment (expression has type "str", variable has type "int")
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```
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2016-06-10 12:58:19 +02:00
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## Mypy is there to find bugs in Zulip before they impact users
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For the purposes of Zulip development, you can treat `mypy` like a
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much more powerful linter that can catch a wide range of bugs. If,
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after running `tools/run-mypy` on your Zulip branch, you get mypy
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errors, it's important to get to the bottom of the issue, not just do
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something quick to silence the warnings. Possible explanations include:
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* A bug in any new type annotations you added.
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* A bug in the existing type annotations.
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* A bug in Zulip!
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* Some Zulip code is correct but confusingly reuses variables with
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different types.
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* A bug in mypy (though this is increasingly rare as mypy is now
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fairly mature as a project).
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Each explanation has its own solution, but in every case the result
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should be solving the mypy warning in a way that makes the Zulip
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codebase better. If you need help understanding an issue, please feel
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free to mention @sharmaeklavya2 or @timabbott on the relevant pull
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request or issue on GitHub.
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If you think you have found a bug in Zulip or mypy, inform the zulip
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developers by opening an issue on [Zulip's GitHub
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repository](https://github.com/zulip/zulip/issues) or posting on
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[zulip-devel](https://groups.google.com/d/forum/zulip-devel). If it's
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indeed a mypy bug, we can help with reporting it upstream.
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