Skip to main content

Generating type annotations from sampled production types

Project description

MonkeyType

MonkeyType collects runtime types of function arguments and return values, and can automatically generate stub files or even add draft type annotations directly to your Python code based on the types collected at runtime.

Example

Say some/module.py originally contains:

def add(a, b):
    return a + b

And myscript.py contains:

from some.module import add

add(1, 2)

Now we want to infer the type annotation of add in some/module.py by running myscript.py with MonkeyType. One way is to run:

$ monkeytype run myscript.py

By default this will dump call traces into a sqlite database in the file monkeytype.sqlite3 in the current working directory. You can then use the monkeytype command to generate a stub file for a module, or apply the type annotations directly to your code.

Running monkeytype stub some.module will output a stub:

def add(a: int, b: int) -> int: ...

Running monkeytype apply some.module will modify some/module.py to:

def add(a: int, b: int) -> int:
    return a + b

This example demonstrates both the value and the limitations of MonkeyType. With MonkeyType, it’s very easy to add annotations that reflect the concrete types you use at runtime, but those annotations may not always match the full intended capability of the functions. For instance, add is capable of handling many more types than just integers. Similarly, MonkeyType may generate a concrete List annotation where an abstract Sequence or Iterable would be more appropriate. MonkeyType’s annotations are an informative first draft, to be checked and corrected by a developer.

Motivation

Readability and static analysis are the primary motivations for adding type annotations to code. It’s already common in many Python style guides to document the argument and return types for a function in its docstring; annotations are a standardized way to provide this documentation, which also permits static analysis by a typechecker such as mypy.

For more on the motivation and design of Python type annotations, see PEP 483 and PEP 484.

Requirements

MonkeyType requires Python 3.6+ and the retype library (for applying type stubs to code files). It generates only Python 3 type annotations (no type comments).

Installing

Install MonkeyType with pip:

pip install MonkeyType

How MonkeyType works

MonkeyType uses the sys.setprofile hook provided by Python to interpose on function calls, function returns, and generator yields, and record the types of arguments / return values / yield values.

It generates stub files based on that data, and can use retype to apply those stub files directly to your code.

See the full documentation for details.

Troubleshooting

Check if your issue is mentioned in the frequently asked questions list.

LICENSE

MonkeyType is BSD licensed.

Changelog

18.1.10

  • Display retype errors when stub application fails. Merge of #52, fixes #49.

  • Add --sample-count option to show the number of traces a given stub is based on. Merge of #50, fixes #7. Thanks Tai-Lin.

  • Add monkeytype run -m for running a module as a script. Merge of #41. Thanks Simon Gomizelj.

  • Add support for Django’s cached_property decorator. Merge of #46, fixes #9. Thanks Christopher J Wang.

  • Catch and log serialization exceptions instead of crashing. Fixes #38, merge of #39.

  • Fix bug in default code filter when Python lib paths are symlinked. Merge of #40. Thanks Simon Gomizelj.

17.12.3

  • Rewrite imports from _io module to io. (#1, merge of #32). Thanks Radhans Jadhao.

  • Add Config.cli_context() as a hook for custom CLI initialization and cleanup logic (#28; merge of #29). Thanks Rodney Folz.

17.12.2

  • Exclude “frozen importlib” functions in default code filter.

  • Fix passing args to script run with monkeytype run (#18; merge of #21). Thanks Rodney Folz.

  • Fix generated annotations for NewType types (#22; merge of #23). Thanks Rodney Folz.

17.12.1

  • Fix using MonkeyType outside a virtualenv (#16). Thanks Guido van Rossum for the report.

17.12.0

  • Initial public version.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

MonkeyType-18.1.10.tar.gz (23.0 kB view details)

Uploaded Source

Built Distribution

MonkeyType-18.1.10-py3-none-any.whl (30.5 kB view details)

Uploaded Python 3

File details

Details for the file MonkeyType-18.1.10.tar.gz.

File metadata

File hashes

Hashes for MonkeyType-18.1.10.tar.gz
Algorithm Hash digest
SHA256 88d4852e38b7ba157dca3a8501fa421b9ca0f94fa9862be09ff5d5c4ad431b39
MD5 e7b45b5fdc3a8e2479b624298b6502a7
BLAKE2b-256 da51c0c206a42479f4340a28581a11db5a0a459fe67dc69b83227cfcc93e9ef9

See more details on using hashes here.

File details

Details for the file MonkeyType-18.1.10-py3-none-any.whl.

File metadata

File hashes

Hashes for MonkeyType-18.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 db867d155073d2e4e8a06e953203cc15bd797b2fc8721cab040ed62082eae774
MD5 dd7569f1a9e2d4d8617fe0901b7d807e
BLAKE2b-256 37417b54b49f84f5f882fb9800cdc36dad360ee3fc7fa8a2b1fcea1df880f1c0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page