pyproject.toml
Since pyproject.toml files are commonly used by python packages it can be desirable to create a lock
file directly from those dependencies to single-source a package's dependencies.
This makes use of some conda-forge infrastructure (pypi-mapping) to do a lookup of the PyPI
package name to a corresponding conda package name (e.g. docker -> docker-py). In cases where there
is no lookup for the package it assumes that the PyPI name, and the conda name are the same.
Features
dependency resolution
[tool.poetry.dependencies]
requests = "^2.13.0"
toml = ">=0.10"
[tool.poetry.dev-dependencies]
pytest = ">=5.1.0"
[build-system]
requires = ["poetry>=0.12"]
build-backend = "poetry.masonry.api"
[project]
dependencies = [
"requests ^2.13.0",
"toml >=0.10",
]
[project.optional-dependencies]
test = [
"pytest >=5.1.0",
]
This will create a conda-lock specification with
main
requests ^2.13.0"
toml >=0.10
dev
pytest >=5.1.0
PDM also has support for
development dependencies not listed in distribution metadata.
Any dependency found in that section will be added to the dev category.
This behavior is experimental and may change in the future.
pure pip dependencies
If a dependency refers directly to a URL rather than a package name and version,
conda-lock will assume it is pip-installable, e.g.:
[tool.poetry.dependencies]
python = "3.9"
pymage = {url = "https://github.com/MickaelRigault/pymage/archive/v1.0.tar.gz#sha256=11e99c4ea06b76ca7fb5b42d1d35d64139a4fa6f7f163a2f0f9cc3ea0b3c55eb"}
Similarly, if a dependency is explicitly marked with source = "pypi", it will
be treated as a pip dependency, e.g.:
[tool.poetry.dependencies]
python = "3.9"
ampel-ztf = {version = "^0.8.0-alpha.2", source = "pypi"}
In both these cases, the dependencies of pip-installable packages will also be
installed with pip, unless they were already requested by a conda
dependency.
Extras
If your pyproject.toml file contains optional dependencies/extras these can be referred to by using the --extras flag
[tool.poetry.dependencies]
mandatory = "^1.0"
psycopg2 = { version = "^2.7", optional = true }
mysqlclient = { version = "^1.3", optional = true }
[tool.poetry.extras]
mysql = ["mysqlclient"]
pgsql = ["psycopg2"]
# pyproject.toml
[project]
dependencies = [
"mandatory ^1.0",
]
[project.optional-dependencies]
mysql = ["mysqlclient ^1.3"]
pgsql = ["psycopg2 ^2.7"]
These can be referenced as follows
conda-lock --extra mysql --extra pgsql -f pyproject.toml
When generating lockfiles that make use of extras it is recommended to make use of --filename-template covered here.
By default conda-lock will attempt to solve for ALL extras it discovers in sources. This allows you to render explicit locks with subsets of extras.
However this does make the assumption that your extras can all be installed in conjunction with each other. If you want extras filtering
to happen at the solve stage use the flag --filter-extras
conda-lock --extra incompatiblea --filter-extras -f pyproject.toml
Poetry specific supported features
Dependency groups
conda-lock can map (dependency groups)[https://python-poetry.org/docs/master/managing-dependencies/#dependency-groups] to categories similar to how extras are handled.
[tool.poetry.group.docs.dependencies]
mkdocs = "*"
By default ALL dependency groups are included. Depdency groups that have the same name as an extra are fused. These can be filtered out / included using the same flags as for extras.
conda-lock --extra docs --filter-extras -f pyproject.toml
Extensions
As the pyproject.toml format is not really designed for conda there are a few extensions we support in the
toml file. All extensions live in the tool.conda-lock section.
Channels
[tool.conda-lock]
channels = [
'conda-forge', 'defaults'
]
Platforms
Like in environment.yml, you can specify default platforms to target:
[tool.conda-lock]
platforms = [
'osx-arm64', 'linux-64'
]
Extra conda dependencies
Since in a pyproject.toml all the definitions are python dependencies if you need
to specify some non-python dependencies as well this can be accomplished by adding
the following sections to the pyproject.toml
[tool.conda-lock.dependencies]
sqlite = ">=3.34"
Force pypi dependencies
While it is with poetry, it is not possible to indicate a package's source in a pyproject.toml which follows PEP621.
In that case, it is possible to force resolving a dependency as a pip dependency by indicating it in the same pyproject.toml section.
This is useful in particular for packages that are not present on conda channels.
[tool.conda-lock.dependencies]
numpy = {source = "pypi"}