Environment configuration¶
All environments are defined as sections within the tool.hatch.envs
table.
[tool.hatch.envs.<ENV_NAME>]
[envs.<ENV_NAME>]
The storage location for environments is completely configurable.
Unless an environment is explicitly selected on the command line, the default
environment will be used. The type of this environment defaults to virtual
.
Inheritance¶
All environments inherit from the environment defined by its template
option, which defaults to default
.
So for the following configuration:
[tool.hatch.envs.foo]
type = "baz"
skip-install = true
[tool.hatch.envs.bar]
template = "foo"
skip-install = false
[envs.foo]
type = "baz"
skip-install = true
[envs.bar]
template = "foo"
skip-install = false
the environment bar
will be of type baz
with skip-install
set to false
.
Note
Environments do not inherit matrices.
Self-referential environments¶
You can disable inheritance by setting template
to the environment's own name:
[tool.hatch.envs.foo]
template = "foo"
[envs.foo]
template = "foo"
Detached environments¶
A common use case is standalone environments that do not require inheritance nor the installation of the project, such as for linting or sometimes building documentation. Enabling the detached
option will make the environment self-referential and will skip project installation:
[tool.hatch.envs.lint]
detached = true
[envs.lint]
detached = true
Dependencies¶
You can install dependencies in addition to the ones defined by your project's metadata. Entries support context formatting.
[tool.hatch.envs.test]
dependencies = [
"coverage[toml]",
"pytest",
"pytest-cov",
"pytest-mock",
]
[envs.test]
dependencies = [
"coverage[toml]",
"pytest",
"pytest-cov",
"pytest-mock",
]
If you define environments with dependencies that only slightly differ from their inherited environments, you can use the extra-dependencies
option to avoid redeclaring the dependencies
option:
[tool.hatch.envs.default]
dependencies = [
"foo",
"bar",
]
[tool.hatch.envs.experimental]
extra-dependencies = [
"baz",
]
[envs.default]
dependencies = [
"foo",
"bar",
]
[envs.experimental]
extra-dependencies = [
"baz",
]
Tip
Hatch uses pip to install dependencies so any configuration it supports Hatch does as well. For example, if you wanted to only use a private repository you could set the PIP_INDEX_URL
environment variable.
Installation¶
Features¶
If your project defines optional dependencies, you can select which groups to install using the features
option:
[tool.hatch.envs.nightly]
features = [
"server",
"grpc",
]
[envs.nightly]
features = [
"server",
"grpc",
]
Dev mode¶
By default, environments will always reflect the current state of your project on disk. Set dev-mode
to false
to disable this behavior:
[tool.hatch.envs.static]
dev-mode = false
[envs.static]
dev-mode = false
Skip install¶
By default, environments will install your project during creation. To ignore this step, set skip-install
to true
:
[tool.hatch.envs.lint]
skip-install = true
[envs.lint]
skip-install = true
Environment variables¶
Defined¶
You can define environment variables with the env-vars
option:
[tool.hatch.envs.docs]
dependencies = [
"mkdocs"
]
[tool.hatch.envs.docs.env-vars]
SOURCE_DATE_EPOCH = "1580601600"
[envs.docs]
dependencies = [
"mkdocs"
]
[envs.docs.env-vars]
SOURCE_DATE_EPOCH = "1580601600"
Filters¶
By default, environments will have access to all environment variables. You can filter with wildcard patterns using the env-include
/env-exclude
options:
[tool.hatch.envs.<ENV_NAME>]
env-include = [
"FOO*",
]
env-exclude = [
"BAR",
]
[envs.<ENV_NAME>]
env-include = [
"FOO*",
]
env-exclude = [
"BAR",
]
Exclusion patterns take precedence but will never affect defined environment variables.
Scripts¶
You can define named scripts that may be executed or referenced at the beginning of other scripts. Context formatting is supported.
For example, in the following configuration:
[tool.hatch.envs.test]
dependencies = [
"coverage[toml]",
"pytest",
"pytest-cov",
"pytest-mock",
]
[tool.hatch.envs.test.scripts]
run-coverage = "pytest --cov-config=pyproject.toml --cov=pkg --cov=tests"
run = "run-coverage --no-cov"
[envs.test]
dependencies = [
"coverage[toml]",
"pytest",
"pytest-cov",
"pytest-mock",
]
[envs.test.scripts]
run-coverage = "pytest --cov-config=pyproject.toml --cov=pkg --cov=tests"
run = "run-coverage --no-cov"
the run
script would be expanded to:
pytest --cov-config=pyproject.toml --cov=pkg --cov=tests --no-cov
Scripts can also be defined as an array of strings.
[tool.hatch.envs.style]
detached = true
dependencies = [
"flake8",
"black",
"isort",
]
[tool.hatch.envs.style.scripts]
check = [
"flake8 .",
"black --check --diff .",
"isort --check-only --diff .",
]
fmt = [
"isort .",
"black .",
"check",
]
[envs.style]
detached = true
dependencies = [
"flake8",
"black",
"isort",
]
[envs.style.scripts]
check = [
"flake8 .",
"black --check --diff .",
"isort --check-only --diff .",
]
fmt = [
"isort .",
"black .",
"check",
]
Similar to make, you can ignore the exit code of commands that start with -
(a hyphen). For example, the script error
defined by the following configuration would halt after the second command with 3
as the exit code:
[tool.hatch.envs.test.scripts]
error = [
"- exit 1",
"exit 3",
"exit 0",
]
[envs.test.scripts]
error = [
"- exit 1",
"exit 3",
"exit 0",
]
Tip
Individual scripts inherit from parent environments just like options.
Commands¶
All commands are able to use any defined scripts. Also like scripts, context formatting is supported and the exit code of commands that start with a hyphen will be ignored.
Pre-install¶
You can run commands immediately before environments install your project.
[tool.hatch.envs.<ENV_NAME>]
pre-install-commands = [
"...",
]
[envs.<ENV_NAME>]
pre-install-commands = [
"...",
]
Post-install¶
You can run commands immediately after environments install your project.
[tool.hatch.envs.<ENV_NAME>]
post-install-commands = [
"...",
]
[envs.<ENV_NAME>]
post-install-commands = [
"...",
]
Python version¶
The python
option specifies which version of Python to use, or an absolute path to a Python interpreter:
[tool.hatch.envs.<ENV_NAME>]
python = "3.10"
[envs.<ENV_NAME>]
python = "3.10"
All environment types should respect this option.
Supported platforms¶
The platforms
option indicates the operating systems with which the environment is compatible:
[tool.hatch.envs.<ENV_NAME>]
platforms = ["linux", "windows", "macos"]
[envs.<ENV_NAME>]
platforms = ["linux", "windows", "macos"]
The following platforms are supported:
linux
windows
macos
If unspecified, the environment is assumed to be compatible with all platforms.
Description¶
The description
option is purely informational and is displayed in the output of the env show
command:
[tool.hatch.envs.<ENV_NAME>]
description = """
Lorem ipsum ...
"""
[envs.<ENV_NAME>]
description = """
Lorem ipsum ...
"""
Type¶
An environment's type
determines which environment plugin will be used for management. The only built-in environment type is virtual
, which uses virtual Python environments.