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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2020-05-09 00:10:17 +02:00
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migration to Python 3 in late 2017. In 2018 and 2020, we migrated
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essentially the entire codebase to the nice PEP 484 (Python 3 only)
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and PEP 526 (Python 3.6) syntax for static types:
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2016-04-27 10:28:12 +02:00
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```
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2020-05-09 00:10:17 +02:00
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user_dict: Dict[str, UserProfile] = {}
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2016-04-27 10:28:12 +02:00
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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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2016-04-27 10:28:12 +02:00
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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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2020-03-27 01:32:21 +01:00
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[mypy cheat sheet for Python 3](https://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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2019-04-13 20:54:42 +02:00
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484 type annotations used by mypy correctly. The
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2020-03-27 01:32:21 +01:00
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[Python 2 cheat sheet](https://mypy.readthedocs.io/en/latest/cheat_sheet.html)
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2019-04-13 20:54:42 +02:00
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is useful for understanding the type comment syntax needed for our
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few modules that need to support both Python 2 and 3.
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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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2018-12-17 05:58:06 +01:00
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* Our [blog post on being an early adopter of mypy][mypy-blog-post] from 2016.
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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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2017-08-27 22:39:58 +02:00
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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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2018-12-17 05:58:06 +01:00
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[mypy-blog-post]: https://blog.zulip.org/2016/10/13/static-types-in-python-oh-mypy/
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2018-07-27 00:06:22 +02:00
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2018-12-17 06:10:22 +01:00
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## Installing mypy
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2018-12-17 06:11:17 +01:00
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mypy is installed by default in the Zulip development environment. If
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you'd like to install just the version of `mypy` that we're using
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2018-12-17 06:10:22 +01:00
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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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## Running mypy on Zulip's code locally
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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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Mypy outputs 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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2018-12-17 19:30:51 +01:00
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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, before we merge the changes.
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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're having trouble, silence the warning with
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2020-04-22 04:13:37 +02:00
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an `Any` or `# type: ignore[code]` so you're not blocked waiting for help,
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2018-12-17 19:30:51 +01:00
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add a `# TODO: ` comment so it doesn't get forgotten in code review,
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and ask for help in chat.zulip.org.
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2018-07-27 00:06:22 +02:00
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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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2019-03-02 18:28:09 +01:00
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## Troubleshooting advice
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All of our linters, including mypy, are designed to only check files
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that have been added in git (this is by design, since it means you
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have untracked files in your Zulip checkout safely). So if you get a
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`mypy` error like this after adding a new file that is referenced by
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the existing codebase:
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```
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mypy | zerver/models.py:1234: note: Import of 'zerver.lib.bugdown_wrappers' ignored
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mypy | zerver/models.py:1234: note: (Using --follow-imports=error, module not passed on command line)
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```
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The problem is that you need to `git add` the new file.
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