Pyrefly Configuration
Pyrefly has a basic configuration that can (or will) allow you to customize your Pyrefly runs without having to specify all of your arguments on the command line.
NOTE: this is early in its development, so the options listed here are subject to change in name, usage, type, quantity, and structure.
Configurations can be specified in a TOML file at the root of
your project (or elsewhere, as long as the path-based config options point to the right place) named
pyrefly.toml
, with all configuration options in the top-level of the document.
You can also specify a configuration in a pyproject.toml
under a [tool.pyrefly]
section. Other config names can be used when explicitly passing in the config file
name with the --config
/-c
flag, but they will not be automatically found by
Configuration Finding.
Both absolute and config-relative paths are supported.
Precedence in Options
Configuration options are selected in the following order
- CLI flags
- Examples:
--project-excludes <value>
,--python-version <value>
- Environment variable overrides -- this is the same as
PYREFLY_<config option name>
- Examples:
export PROJECT_EXCLUDES=<value>
,PYTHON_VERSION=<value> pyrefly ...
- Configuration options
- Examples: (in a
pyrefly.toml
)project-excludes = <value>
,python-version = <value>
- Pyrefly defaults
- See Default
pyrefly.toml
for the default values used
Type Checking Modes
Pyrefly has two different modes it can run in when type checking your project, which correspond to different but useful ways we expect most people to interact with Pyrefly:
- Project mode: attempt to load a config, falling back to Pyrefly's default config when
none can be found, and type check using that one config. This involves getting the
project-includes
andproject-excludes
from the file, expanding the patterns, and type checking on those files.- Project mode is used whenever no files are provided with the CLI invocation.
- Per-file or Single-file mode: when given
FILES...
(and optionally--project-excludes
) during a CLI invocation, expand the patterns and find the relevant config file for each file listed.project-includes
andproject-excludes
are ignored from the config file, but it is used for all remaining config options.
Configuration Finding
In both project checking mode and single-file checking mode (see Type Checking Modes for more info), we attempt to find a project root from which to check each file, both for reading config options and for import resolution. The project root is typically the directory containing the configuration file. More precisely:
- If a configuration file is provided with
-c
/--config
, we use the directory the file is located in as the directory to check. - If no configuration file is passed, we perform an upward file search from the 'start location' to the filesystem root,
looking in each directory for any of the following files:
pyrefly.toml
,pyproject.toml
,setup.py
,mypy.ini
, andpyrightconfig.json
. If we find one, we use the directory it's found in as the containing directory. - If no configuration file is found, we will still attempt to resolve imports by walking up the tree looking for a matching import. For example: when
importing
from a.b.c import q
, if our project structure looks like/x/y/z/a/b/c
, we can walk up the components ofa.b.c
to find a root at/x/y/z
.
Note that only pyrefly.toml
and pyproject.toml
are parsed for config options, but we look for
additional files that mark the root of a project to aid import resolution.
For project checking mode, the 'start location' is current working directory. For single-file checking mode, the start location is the directory containing each file to be type checked, and we find the config for each file matched by the pattern provided.
If a pyrefly.toml
is found, it is parsed and used for type checking, and will
return an error to the user on invalid types, syntax, values, or unknown config options.
If a pyproject.toml
is found, Pyrefly will use the [tool.pyrefly]
section if it exists, otherwise it will assume a default config.
The same errors will be returned as when loading a pyrefly.toml
if
the config is invalid.
Providing a Config in Single-File Mode
Providing -c
/--config
in single-file checking mode disables the upward file search for config
files. All options are read from the provided config file except project-includes
and
project-excludes
, which are ignored.
Configuration Options
The following section lists all recognized options that can be specified in a config
file or pyproject.toml
Pyrefly config section.
project-includes
The glob patterns used to describe which files to type check, typically understood as user-space files.
This does not specify
Import Resolution priority or the path an
import should be resolved from. See search-path
instead.
- Type: list of filesystem glob patterns
- Default:
["**/*.py", "**/*.pyi"]
- Flag equivalent:
FILES...
argument - Equivalent configs:
include
in Pyright,files
/modules
/packages
in mypy - Notes:
- When overridden by passing in
FILES...
, we do not consult the relevant config file for what to use forproject-excludes
. Ifproject-excludes
should not use the default value, override it with the flag as well. - When a
project-includes
pattern does not match any files, we will return an error. - If you get an error about no matches for a directory when passing a glob as a CLI argument, try wrapping the glob in quotes to prevent eager shell glob expansion.
- When overridden by passing in
project-excludes
The glob patterns used to describe which files to avoid
type checking as way to filter files that match project-includes
,
but we don't want to type check.
- Type: list of filesystem glob patterns
- Default:
["**/.[!/.]*", "**/*venv/**"]
- Flag equivalent:
--project-excludes
- Equivalent configs:
exclude
in Pyright and mypy - Notes:
- It is an error if no files are returned from any
project-includes
because they are filtered out byproject-excludes
entries. We differentiate between an error from aproject-includes
that doesn't match any files, and an error from allproject-includes
getting filtered byproject-excludes
. - When passing in
FILES...
, we also do not consult the config file for what to use forproject-excludes
. Ifproject-excludes
should not use the default value, override it with a flag as well. When noFILES...
are passed,project-excludes
overrides the config's value. - Your
site-package-path
is added to yourproject-excludes
automatically. If you are trying to perform type checking on a dependency in yoursite-package-path
(i.e.cd <site-package-path>/some_dependency && pyrefly check
), we recommend you pull and set up your dependency from GitHub, but you can achieve this on files in yoursite-package-path
by settingsite-package-path = []
in your config.
- It is an error if no files are returned from any
search-path
A file path describing the roots from which imports should be
found and imported from (including modules in project-includes
). This takes
the highest precedence in import order,
before typeshed
and site-package-path
. When a project-includes
type checked file is imported by another type checked file, we check all search roots to
determine how to import it.
- Type: list of directories specifying the root
- Default: import root
- Flag equivalent:
--search-path
- ENV equivalent:
PYREFLY_SEARCH_PATH
- Equivalent configs:
extraPaths
in Pyright,mypy_path
in mypy - Notes:
- We automatically append an import root (typically the directory containing the
configuration file) to the
search-roots
when type checking as a sensible default and last attempt at an import. - Libraries should not be listed here, since they may override
typeshed
values for your whole project, and have different import semantics with respect to typing. See Import Resolution for more information about how modules are imported.
- We automatically append an import root (typically the directory containing the
configuration file) to the
site-package-path
A file path describing a root from which imports should
be found and imported from. This takes the lowest priority in import
resolution, after search-path
and typeshed
.
site-package-path
entries have special rules around when they can be imported,
according to the typing specification. See
Site Package Path Typing Rules
for more information, and use-untyped-imports
and
ignore-missing-source
for details on how to configure
that behavior.
- Type: list of directories
- Default: result from Environment Autoconfiguration, or
[]
if the Python interpreter cannot be queried - Flag equivalent:
--site-package-path
- ENV equivalent:
PYREFLY_SITE_PACKAGE_PATH
- Equivalent configs: none
NOTE: Ideally, this should not be set manually, unless you're using a venv, running one-off tests, testing specific behavior, or having trouble with Environment Autoconfiguration. Setting this explicitly, especially when not using a venv, will make it difficult for your configuration to be reused between different systems and platforms.
python-platform
The value used with conditions based on type checking
against
sys.platform
values.
- Type: string
- Default: result from Environment Autoconfiguration, or "linux" if the Python interpreter cannot be queried
- Flag equivalent:
--python-platform
- ENV equivalent:
PYREFLY_PYTHON_PLATFORM
- Equivalent configs:
pythonPlatform
in Pyright,platform
in mypy
python-version
The value used with conditions based on type checking
against
sys.version
values. The format should be <major>[.<minor>[.<micro>]]
, where minor and
micro can be omitted to take the default positional value.
- Type: string of the format
<major>[.<minor>[.<micro>]]
- Default: result from Environment Autoconfiguration, or
3.13.0
if the Python interpreter cannot be queried - Flag equivalent:
--python-version
- ENV equivalent:
PYREFLY_PYTHON_VERSION
- Equivalent configs:
pythonVersion
in Pyright,python_version
in mypy
python-interpreter
The Python interpreter to query when attempting to autoconfigure
Python environment values (site-package-path
, python-platform
, python-version
).
See the Environment Autoconfiguration section for more information.
- Type: path to executable
- Default:
$(which python3)
, then$(which python)
, or none - Flag equivalent:
--python-interpreter
- ENV equivalent:
PYREFLY_PYTHON_INTERPRETER
- Equivalent configs:
python_executable
in mypy - Notes:
- This executes the value present in the
python-interpreter
field without any checks. It could be a security risk if yourpython-interpreter
is an arbitrary executable.
- This executes the value present in the
NOTE: Ideally, this should not be set manually, unless you're using a venv, running one-off tests, testing specific behavior, or having trouble with Environment Autoconfiguration. Setting this explicitly, especially when not using a venv, will make it difficult for your configuration to be reused between different systems and platforms.
errors
Configure (enable and disable) the errors Pyrefly emits. true
(default) tells Pyrefly to
emit the error, while false
tells Pyrefly to hide it.
- Type: Table of error code to boolean representing enabled status
- Default:
errors = {}
/[errors]
- Flag equivalent: none
- ENV equivalent: none
- Equivalent configs:
type check rule overrides
and type evaluation settings
in Pyright,
enable_error_code
anddisable_error_code
in mypy - Notes: setting
<error-code> = true
is the same as having no error code configuration present, which means the error will be shown. Setting<error-code> = false
will disable the error for type checking.
replace-imports-with-any
ModuleGlob
s of modules from which import errors should be
ignored, and the module should be replaced with typing.Any
. For example, with
from x.y import z
in a file, adding x.*
, *.y
, or x.y
to this config will
silence those import errors and replace the module with typing.Any
. If the module can be found, its type
information will still be replaced with typing.Any
.
- Type: list of regex
- Default:
[]
- Flag equivalent: none
- ENV equivalent: none
- Equivalent configs:
ignore_missing_imports
orfollow_imports = skip
in mypy - Notes:
errors = {import-error = false}
(TOML inline table forerrors
) has similar behavior in Pyrefly, but ignores all import errors instead of import errors from specific modules, and won't replace findable modules withtyping.Any
.
ignore-errors-in-generated-code
Whether to ignore type errors in generated code. If enabled, generated files
will be treated as if they are included in project-excludes
.
The generated code status is determined by checking if the file contents contain
the substring '@generated'.
- Type: bool
- Default: false
- Flag equivalent:
--ignore-errors-in-generated-code
- ENV equivalent:
IGNORE_ERRORS_IN_GENERATED_CODE
- Equivalent configs: none
use-untyped-imports
Whether to search imports in site-package-path
that do not have a
py.typed
file unconditionally. When this is true, we skip any checks for py.typed
files,
and return the first valid import we can find. See
Site Package Path Typing Rules for
more information on when a site-package-path
cannot be used for typing information.
- Type: bool
- Default: true
- Flag equivalent:
--use-untyped-imports
- ENV equivalent:
PYREFLY_USE_UNTYPED_IMPORTS
- Equivalent configs:
useLibraryCodeForTypes
in Pyright,follow_untyped_imports
in mypy
ignore-missing-source
Whether to skip the check for a non-stubs package when a -stubs
package is found in
site-package-path
. When this is true, we immediately return
a -stubs
package when found.
The check for a non-stubs package exists to ensure you have an importable package to use in your project. When this check returns an import error, it means we couldn't find a package, and that at runtime you may not actually be able to import the given package, even if its type stubs could be found. See Stub Files vs Source Files for more information.
- Type: bool
- Default: true
- Flag equivalent: none
- ENV equivalent: none
- Equivalent configs:
reportMissingModuleSource
in Pyright
untyped-def-behavior
How should Pyrefly treat function definitions with no parameter or return type annotations?
By default, Pyrefly uses the "check-and-infer-return-type"
behavior and will
check all function bodies inferring the return type.
If this option is set to "check-and-infer-return-any"
, then Pyrefly will still
check the function body but will treat the return type as Any
.
If this option is set to "skip-and-infer-return-any"
, Pyrefly will again treat
the return type as Any
, but will also skip checking the function body. In this
case, Pyrefly will also infer Any
as the type of any attributes inferred based
on this function body. This behavior is what PEP 484 specifies, although we do
not recommend it for most users today; since Pyrefly will not analyze the bodies
of untyped functions, language server functionality like showing types on hover
and finding definitions will not be available there.
- Type: one of
"check-and-infer-return-type"
,"check-and-infer-return-any"
,"skip-and-infer-return-any"
- Default: `"check-and-infer-return-type"
- Flag equivalent: none
- ENV equivalent: none
- Equivalent configs:
- The
"check-and-infer-return-type"
behavior emulates Pyright's default behavior. - The
"skip-and-infer-return-any"
behavior emulates mypy's default behavior. - The
"check-and-infer-return-any"
behavior emulates mypy'scheck_untyped_defs
flag.
- The
sub-config
Override specific config values for matched paths in your project. See
SubConfigs
for more information on the structure
and values that can be overridden here.
- Type: TOML array of tables with a
SubConfig
structure - Default:
[]
- Flag equivalent: none
- ENV equivalent: none
- Equivalent configs:
executionEnvironments
in Pyright, per-module config options in mypy
Configuration Details
This section describes some of the configuration options, behaviors, or types in more depth, when there are details shared between multiple config options or the information is more than what can fit under a single config option description.
Environment Autoconfiguration
If any of python-platform
, python-version
, or
site-package-path
are empty, we attempt to query an interpreter
for the missing values.
We look for an interpreter with the following logic:
- Use
python-interpreter
if it's set by a flag or config option. - Find a
venv
at the root of the project by searching for something that looks like a Python interpreter, and looking for apyvenv.cfg
file in known locations. - Query
$(which python3)
and$(which python)
(platform independent) to use a system-installed interpreter. - Fall back to Pyrefly's default values for any unspecified config options.
The config options we query the interpreter for are:
python-platform
:sys.platform
python-version
:sys.version_info[:3]
site-package-path
:site.getsitepackages() + [site.getusersitepackages()]
Filesystem Globbing
We use a standard Unix-style glob, which allows for wildcard matching when specifying a fileset. It is similar
to regex, but more restricted given the subset of allowed syntax for paths on a filesystem. We currently only
allow matching files with a .py
or .pyi
suffix.
The globs provided are relative to the config, if one is found, or the current working directory otherwise. Absolute path globs can also be provided, though this is generally not recommended, since it may not be compatible with other systems type checking your project.
- We recognize the following wildcards:
*
matches zero or more characters in a single directory component**
matches the current and any sub directories/files in those sub directories?
matches any one character[<pattern>]
matches any character or character range between the brackets (character range separated by-
)[!<pattern>]
excludes any character or character range between the brackets and after the!
- Note:
[]
can be used to match?
,*
,[
,]
literally (e.g.[?]
), although these are invalid as part of a Python path.
We also support non-wildcard paths, so a relative (or absolute) path like src/
will match all Python files under src/
or src/my_file.py
will match src/my_file.py
exactly.
Any directories matched will also have their .py
and .pyi
files recursively matched. src/*
will match all files and
directories under src/
, so therefore, we will recursively match everything under src/
.
Examples:
src/**/*.py
: only match.py
files undersrc/
src
,src/
,src/*
,src/**
, andsrc/**/*
: match all.py
and.pyi
files under `src/?.py
and[A-z].py
: match any file that looks like<letter>.py
src/path/to/my/file.py
: only matchsrc/path/to/my/file.py
src/**/tests
,src/**/tests/
,src/**/tests/**
, andsrc/**/tests/**/*
: match all.py
and.pyi
files insrc/
under a directory namedtests
Module Globbing
In some config options, we've added globbing for module paths. This is different from both path globs and regex,
in the sense that we're performing a match on a Python dotted import, such as this.is.any.module
.
The only wildcard we recognize is *
, which represents zero or more segments of a module path, unless it starts a glob,
in which case it must match one or more segments. The wildcard must be surrounded
by .
, unless it is at the start or end of a module glob.
Examples:
this.is.a.module
would be equivalent to a regex like^this\.is\.a\.module
. It will only match imports that look likethis.is.a.module
.this.is.*.module
would become^this\.is(\..+)*\.module$
. It would match:this.is.module
this.is.a.module
this.is.a.really.long.path.to.a.module
*.my.module
would be equivalent to a regex like^.+\.my\.module$
.- It would match:
this.is.my.module
heres.my.module
- It will not match:
my.module
- It would match:
this.is.*
would be equivalent to a regex like^this\.is(\..+)*
. It would match:this.is.my.module
this.is
SubConfigs
SubConfigs
are a method for overriding one or more config options for specific files based on
filepath glob matching. Only certain config options are allowed to be overridden, and a need
to override other configs means you likely need to use a separate config file for your subdirectory.
You can have as many SubConfigs
as you want in a project, and even multiple separate SubConfigs
that can apply to a given file when the matches
glob pattern matches.
SubConfig
Allowed Overrides
We currently allow the following config options to be overridden in a SubConfig
:
errors
replace-imports-with-any
untyped-def-behavior
ignore-errors-in-generated-code
All SubConfig
overrides replace the values appearing in the 'root' or top-level of the
Pyrefly configuration.
Any configs that change the list of files we're type checking, Python environment, or where we look
for imports cannot be included in SubConfigs
. Some other configs we also do not include because
we think they make it difficult to reason about your project type checks, but you can
open an issue or make a pull request if you disagree
and would like to see the option supported.
SubConfig
Table Structure
A SubConfig
has two or more entries:
- a
matches
key, with a Filesystem Glob detailing which files the config applies to. - at least one of the
SubConfig
allowed overrides
SubConfig
Option Selection
Since you can have more than one SubConfig
matching a file, we need to define a resolution order
to determine which SubConfig
's option should be selected. Pyrefly does this by filtering
SubConfig
s whose matches
does not match the given file, then takes the first non-null
value that can be found in the order the SubConfig
s appear in your configuration.
If no SubConfig
s match, or there are no non-null config options present, then we take
the value in the 'root'/top-level Pyrefly config (or Pyrefly default if no value is specified).
Conda and Venv Support
We plan on adding extra automatic support for Conda and Venv at some point soon, but we haven't made it around to doing this yet. If you would like to import packages from these in the meantime, you can follow the following steps.
Venv
If you have a venv set up locally, you can get Pyrefly working with it by having your venv sourced
in your shell (source .venv/bin/activate
), and we will automatically pick up your installed packages. To pick
up your packages even when your environment isn't sourced, you can add .venv/bin/python3
(or
<path_to_venv>/bin/python3
) to your Pyrefly configuration under
python-interpreter
or pass it in with the --python-interpreter
flag.
Conda
If you have conda set up locally, you can get Pyrefly working with it by having your Conda environment
sourced in your shell (conda activate <environment>
), and we will automatically pick up your installed packages.
To pick up your packages even when your environment isn't sourced, you can query your environment's install
location with conda env list
, and add <conda_environment_path>/bin/python3
to your Pyrefly configuration
under python-interpreter
or pass it in with the --python-interpreter
flag.
Example Configuration
This section displays an example config showing the usage of all config options listed above to make creating your own easier, and to give you an easy place to start.
Default pyrefly.toml
This is a configuration with the Pyrefly defaults. If you have an interpreter installed, some of these values may be overridden.
###### configuring what to type check and where to import from
# check all files in "."
project-includes = ["."]
# exclude dotfiles
project-excludes = ["**/.[!/.]*", "**/*venv/**"]
# import project files from "."
search-path = ["."]
# do not include any third-party packages
site-package-path = []
###### configuring your python environment
# assume we're running on linux, regardless of the actual current platform
python-platform = "linux"
# assume the Python version we're using is 3.13, without querying an interpreter
python-version = "3.13"
# query the default Python interpreter on your system, if installed and `python_platform`,
# `python-version`, or `site-package-path` are unset.
# python-interpreter = null # this is commented out because there are no `null` values in TOML
#### configuring your type check settings
replace-imports-with-any = []
ignore-errors-in-generated-code = false
use-untyped-imports = false
ignore-missing-source = false
[errors]
# this is an empty table, meaning all errors are enabled by default
# no `[[sub-config]]` entries are included, since there are none by default
Example pyrefly.toml
project-includes = ["src"]
project-excludes = ["**/.[!/.]*", "**/tests"]
search-path = ["src"]
site-package-path = ["venv/lib/python3.12/site-packages"]
python-platform = "linux"
python-version = "3.12"
python-interpreter = "venv/bin/python3"
replace-imports-with-any = [
"sympy.*",
"*.series",
]
ignore-errors-in-generated-code = true
use-untyped-imports = true
ignore-missing-source = true
# disable `bad-assignment` and `invalid-argument` for the whole project
[errors]
bad-assignment = false
invalid-argument = false
[[sub-config]]
# apply this to `sub/project/tests/file.py`
matches = "sub/project/tests/file.py"
# any unittest imports will by typed as `typing.Any`
replace-imports-with-any = ["unittest.*"]
[[sub-config]]
# apply this config to all files in `sub/project`
matches = "sub/project/**"
# enable `assert-type` errors in `sub/project`
[sub-config.errors]
assert-type = true
[[sub-config]]
# apply this config to all files in `sub`
matches = "sub/**`
# disable `assert-type` errors in `sub`
[sub-config.errors]
assert-type = false
[[sub-config]]
# apply this config to all files under `tests` dirs in `sub/`
matches = "sub/**/tests/**"
# any pytest imports will be typed as `typing.Any`
replace-imports-with-any = ["pytest.*"]
With the above config, here are the actual config values some files would use:
sub/project/tests/file.py
replace-imports-with-any
:["unittest.*"]
errors
:{assert-type = true}
ignore-errors-in-generated-code
:true
use-untyped-imports
:true
sub/project/tests/another_file.py
replace-imports-with-any
:["pytest.*"]
errors
:{assert-type = true}
ignore-errors-in-generated-code
:true
use-untyped-imports
:true
sub/project/non_test_file.py
replace-imports-with-any
:["sympy.*", "*.series"]
errors
:{assert-type = true}
ignore-errors-in-generated-code
:true
use-untyped-imports
:true
sub/sub_file.py
replace-imports-with-any
:["sympy.*", "*.series"]
errors
:{assert-type = false}
ignore-errors-in-generated-code
:true
use-untyped-imports
:true
top_level_file.py
replace-imports-with-any
:["sympy.*", "*.series"]
errors
:{assert-type = true, bad-assignment = false, invalid-argument = false}
ignore-errors-in-generated-code
:true
use-untyped-imports
:true
Example pyproject.toml
...
# Pyrefly header
[tool.pyrefly]
#### configuring what to type check and where to import from
project-includes = ["src"]
project-excludes = ["**/.[!/.]*", "**/tests"]
search-path = ["src"]
site-package-path = ["venv/lib/python3.12/site-packages"]
#### configuring your python environment
python-platform = "linux"
python-version = "3.12"
python-interpreter = "venv/bin/python3"
#### configuring your type check settings
replace-imports-with-any = [
"sympy.*",
"*.series",
]
ignore-errors-in-generated-code = true
use-untyped-imports = true
ignore-missing-source = true
[tool.pyrefly.errors]
bad-assignment = false
invalid-argument = false
[[tool.pyrefly.sub-config]]
# apply this config to all files in `sub/project`
matches = "sub/project/**"
# enable `assert-type` errors in `sub/project`
[tool.pyrefly.sub-config.errors]
assert-type = true
[[tool.pyrefly.sub-config]]
# apply this config to all files in `sub`
matches = "sub/**`
# disable `assert-type` errors in `sub/project`
[tool.pyrefly.sub-config.errors]
assert-type = false
# other non-Pyrefly configs
...