citry_core
Python package that exposes Rust functionality from the twin citry_core_py Rust crate.
Install and quick start
pip install citry-core
The public APIs are namespaced by capability:
from citry_core.template_parser import compile_template, parse_template
template = parse_template("<p>Hello {{ name }}!</p>")
python_source = compile_template(template)
The package also exposes HTML transformation, Fluent i18n, safe expression evaluation, template formatting, and browser-expression analysis.
Build integration
This package is the Python-side twin to the citry_core_py Rust crate. The connection between them is defined in pyproject.toml via the [tool.maturin] section:
[tool.maturin]
manifest-path = "../../../crates/citry_core_py/Cargo.toml"
module-name = "citry_core._rust"
When built with maturin, the Rust crate is compiled into a Python extension module that provides the core functionality, while this package adds Python-side wrappers, type stubs, and additional utilities.
Maturin module-name configuration
Important: The module-name setting is crucial for this package to work correctly.
By default, maturin would create a Python module with the same name as the Rust crate (citry_core_py), but we want to publish this package as citry_core. The module-name = "citry_core._rust" setting tells maturin to:
- Create the compiled Rust extension as
_rust.cpython.so(instead ofcitry_core_py.cpython.so) - Place it in the
citry_core/directory (matching our Python package name) - Merge it with our existing
citry_core/Python code
This allows us to:
- Keep the Rust crate named
citry_core_py(useful for potential future bindings likecitry_core_js) - Publish the Python package as
citry_core(the desired public name) - Have maturin automatically merge the Rust binary with our Python code
The module-name format is <python_package_name>.<rust_module_name>, where:
python_package_namemust match the Python package directory (here,./citry_core/)rust_module_namemust match the#[pymodule]function name in the Rust crate'slib.rs(e.g.,fn _rust)
See the detailed comments in pyproject.toml for more information about this configuration.
Package structure
The package uses a mixed Rust/Python layout:
packages/py/citry_core/
├── citry_core/ # Package code
│ ├── __init__.py # Empty - see below
│ ├── _rust # Platform extension module generated by maturin
│ │ # from `crates/citry_core_py` (suffix varies).
│ │ # Name set by `module-name` setting in `pyproject.toml`
│ ├── _rust.pyi # Type stubs for Rust API
│ │ # Filename matches <rust_module_name> from `module-name`
│ │
│ │ # API for individual Rust crates defined
│ │ # as separate submodules / subdirectories
│ │
│ ├── html_transform/ # HTML transformation API
│ │ └── __init__.py # API for this submodule
│ ├── i18n/ # Fluent compiler and locale runtime API
│ ├── safe_eval/ # Safe eval API
│ ├── template_formatter/ # Authored template formatting API
│ ├── template_parser/ # Template parsing API
│ └── ...
├── tests/ # Package tests
└── pyproject.toml
Manual API management
By default, maturin auto-generates __init__.py files. However, this package manually manages the Python-side API for several reasons:
- Multiple crates: The Rust crate exposes multiple submodules (
html_transform,i18n,safe_eval,template_formatter,template_parser). We split these into separate submodules to avoid name conflicts. - Python-side post-processing: Some crates need Python-side code that
wraps or extends the Rust API.
safe_evalexecutes transformed code, whiletemplate_parserprovides Python wrappers around the Rust parser and compiler.
The root __init__.py is intentionally empty because we namespace each Rust crate under its own Python module. Instead, the API for each crate is defined in a separate directory with its own __init__.py file, e.g.:
citry_core/html_transform/__init__.pycitry_core/i18n/__init__.pycitry_core/safe_eval/__init__.pycitry_core/template_formatter/__init__.pycitry_core/template_parser/__init__.py
This allows clean, namespaced imports:
from citry_core.html_transform import transform_html
from citry_core.i18n import CatalogCompiler, canonicalize_locale
from citry_core.safe_eval import safe_eval
from citry_core.template_formatter import (
finish_embedded_format,
format_template,
prepare_embedded_format,
python_expression_provider,
)
from citry_core.template_parser import (
analyze_browser_source,
compile_template,
parse_diagnostic,
parse_template,
)
The i18n API compiles and analyzes Fluent project catalogs and runs their locale-aware messages, formatting, and strict number/date/time input. The parser API also exposes stable diagnostics, JavaScript analysis, and parser-owned syntax inventories for editor and batch tooling.
The formatter includes conservative Citry/HTML structural layout plus the
vendored, in-process Python expression adapter. The provider identity function
lets tooling report the exact pinned Ruff implementation used for expression
output. JavaScript and CSS providers use an opaque two-pass API:
prepare_embedded_format() returns immutable, source-bound requests for safe
expression-free <script> and <style> bodies, and
finish_embedded_format() validates every result before composing one atomic
template result. This package discovers regions and enforces Citry boundaries;
the caller chooses and invokes the external provider.
Remember: When you import citry_core.html_transform,
you are directly accessing citry_core/html_transform/__init__.py
You are NOT accessingcitry_core/__init__.py
Type stubs and runtime access
Issues with type checking
Type checkers (mypy, Pylance/Pyright) cannot pick up signatures and docstrings from the Rust API generated by maturin. The Rust code is compiled into a binary extension module, and type checkers don't have access to the original Rust source code or its PyO3 annotations.
To solve the type checking issue, we define type stubs in _rust.pyi.
The _rust.pyi:
- Re-defines function signatures and docstrings
- Enables type checking, IDE autocomplete, hover tooltips, etc
- Important: The filename
_rust.pyiMUST match the second part of themodule-namesetting inpyproject.toml
(tool.maturin.module-name = "citry_core._rust").
This ensures type checkers can find the type stubs for the Rust extension module.
Issues with Pytest and virtual modules
Another issue is with pytest. We define nested Python submodules for each Rust crate to avoid name conflicts in the Rust API. But pytest can't import the nested modules directly using the import keyword. This fails in pytest:
from citry_core._rust.template_parser import parse_template
# ModuleNotFoundError: No module named 'citry_core._rust.template_parser'
The cause is likely because the Rust-generated submodules (like _rust.template_parser) are virtual modules - they don't exist as actual files, but only inside the Rust binary.
To fix the issue with pytest, we have to avoid importing
the virtual Python modules using import keyword.
This simply means that, instead of importing the Rust API as:
from citry_core._rust.html_transform import transform_html
transform_html(...)
We have to do:
from citry_core import _rust
_rust.html_transform.transform_html(...)
Development
Installing from the source distribution requires Rust 1.96 or newer. Normal GIL-enabled CPython 3.10-3.14 installations use a prebuilt ABI3 wheel and do not need a Rust toolchain. Free-threaded CPython and PyPy wheel coverage is narrower and currently targets the release workflow's Linux platforms; an interpreter/platform pair without a matching wheel falls back to the source distribution and therefore needs Rust 1.96 or newer.
Build
Build the package using maturin:
cd packages/py/citry_core
maturin develop # Development build
maturin build # Production build
Or with uv:
uv run maturin develop
Test
Important: Before running tests, you must install the package in development mode:
cd packages/py/citry_core
uv run maturin develop
This builds the Rust extension module and installs the package so Python can import it.
Without this step, tests will fail with ModuleNotFoundError: No module named 'citry_core'.
After installing, run tests:
# From the package directory
uv run pytest
Adding a new Rust crate
When a new Rust crate / submodule is added to the twin Rust crate citry_core_py:
-
Add to
_rust.pyi: Define the type stubsclass new_module: def new_function(...) -> ...: """Docstring""" ...
-
Create Python wrapper: Add
citry_core/new_module/__init__.pyif needed
NOTE: A validator
bindings (run by python scripts/check.py)
checks that we've added entries to _rust.pyi and that the new_module subdirectory exists.
Type stub maintenance
When updating Rust functions:
- Update the function signature and docstring in
_rust.pyi - Ensure the filename
_rust.pyimatches the second part frommodule-nameinpyproject.toml
Metadata
Release files for citry-core 1.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
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