## Valhalla Python bindings
| [] | [] |
This folder contains the Python bindings to [Valhalla routing engine](https://github.com/valhalla/valhalla).
> [!NOTE]
> `pyvalhalla(-weekly)` packages are currently only published for:
> - `linux-x86_x64`
> - `win-amd64`
> - `macos-arm64`
On top of the (very) high-level Python bindings, we package some data-building Valhalla executables to ease the process of graph creation or run Valhalla as a service, see [below](#valhalla-executables-linux-x86_x64-only).
### Installation
We distribute all currently maintained CPython versions as **binary wheels** for Win64, MacOS (`arm64`) and Linux (`x86_64`) distributions with `glibc>=2.28`. We **do not** offer a source distribution on PyPI.
`pip install pyvalhalla` to install the most recent Valhalla **release**.
`pip install pyvalhalla-weekly` to install the weekly published Valhalla **master commit**.
### Usage
#### Bindings
Find a more extended notebook in `./examples`, e.g. how to [use the actor](https://github.com/valhalla/valhalla/blob/master/src/bindings/python/examples/actor_examples.ipynb).
Before using the Python bindings you need to have access to a routable Valhalla graph. Either install Valhalla from source and built the graph from OSM compatible data or use our [Valhalla docker image](https://github.com/valhalla/valhalla/docker/README.md) for a painless experience, e.g. this will build the routing graph for Andorra in `./custom_files`:
```shell
docker run --rm --name valhalla -p 8002:8002 -v $PWD/custom_files:/custom_files -e tile_urls=https://download.geofabrik.de/europe/andorra-latest.osm.pbf ghcr.io/valhalla/valhalla-scripted:latest
```
Once you have created a graph locally, you can use it like this:
```python
from valhalla import Actor, get_config, get_help
# generate configuration
config = get_config(tile_extract='./custom_files/valhalla_tiles.tar', verbose=True)
# print the help for specific config items (has the same structure as the output of get_config()
print(get_help()["service_limits"]["auto"]["max_distance"])
# instantiate Actor to load graph and call actions
actor = Actor(config)
route = actor.route({"locations": [...]})
```
#### Valhalla executables (**`linux-x86_x64` only**)
To access the C++ (native) executables, there are 2 options:
- (recommended) execute the module, e.g. `python -m valhalla valhalla_build_tiles -h`
- execute the Python wrapper scripts directly, e.g. `valhalla_build_tiles -h`
> [!NOTE]
> For the latter option to work, the Python environment's `bin/` folder has to be in the `$PATH`. Inside virtual environments, that's always the case.
Executing the scripts directly might also not work properly if there's a system-wide Valhalla installation, unless the Python environment's `bin/` folder has higher priority than system folders in `$PATH`. The module execution uses an explicit Python executable which should be preferred.
There are also some additional commands we added:
- `--help`: print the help for `python -m valhalla` explicitly
- `--quiet`: redirect `stdout` of the C++ executables to `/dev/null`; can be added **once** anywhere in the command, will not be forwarded to a C++ executable
- `print_bin_path`: simply prints the absolute path to the package-internal `bin/` directory where the C++ executables are; useful if the executables should be accessed directly in some script
To find out which Valhalla executables are currently included, run `python -m valhalla --help`. We limit the number of executables to control the wheel size. However, we're open to include any other executable if there's a good reason.
### Building from source
#### Linux
To package arch-dependent Linux bindings we use a `manylinux` fork, where we install all dependencies into the `manylinux_2_28` image, based on AlmaLinux 8. This is necessary to have a broad `glibc` compatibility with many semi-recent Linux distros.
Either pull the `manylinux` image, or build it locally for testing:
```shell
docker pull ghcr.io/valhalla/manylinux:2_28_valhalla_python
# or pull the image from ghcr.io
git clone https://github.com/valhalla/manylinux
cd manylinux
POLICY=manylinux_2_28 PLATFORM=x86_64 COMMIT_SHA=$(git rev-parse --verify HEAD) BUILDX_BUILDER=builder-docker-container ./build.sh
docker tag quay.io/pypa/manylinux_2_28_x86_64:$(git rev-parse --verify HEAD) ghcr.io/valhalla/manylinux:2_28_valhalla_python
```
Once built, start a container to actually build Valhalla using AlmaLinux 8:
```shell
cd valhalla
docker run -dt -v $PWD:/valhalla-py --name valhalla-py --workdir /valhalla-py ghcr.io/valhalla/manylinux:2_28_valhalla_python
docker exec -t valhalla-py /valhalla-py/src/bindings/python/scripts/build_manylinux.sh build_manylinux 3.13
```
This will also build & install `libvalhalla` before building the bindings. At this point there should be a `wheelhouse` folder with the fixed python wheel, ready to be installed or distributed to arbitrary python 3.12 installations.
### `cibuildwheel`
On our CI, this orchestrates the packaging of all `pyvalhalla` wheels for every supported, minor Python version and every platform. It can also be run locally (obviously only being able to build wheels for _your_ platform), e.g.
```shell
python -m pip install cibuildwheel
cibuildwheel --print-build-identifiers
cibuildwheel --only cp313-manylinux_x86_64
# for windows you'll have to set an env var to the vcpkg win root
VCPKG_ARCH_ROOT="build/vcpkg_installed/custom-x64-windows" cibuildwheel --only cp313-manylinux_x86_64
```
On Linux, this might download the [`manylinux` docker image](https://github.com/valhalla/manylinux/pkgs/container/manylinux). In the end, you'll find the wheel in `./wheelhouse`.
### Testing (**`linux-x86_x64` only**)
We have a small [test script](https://github.com/valhalla/valhalla/blob/master/src/bindings/python/test/test_pyvalhalla_package.sh) which makes sure that all the executables are working properly. If run locally for some reason, install a `pyvalhalla` wheel first. We run this in CI in a fresh Docker container with no dependencies installed, mostly to verify dynamic linking of the vendored dependencies.
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"description": "\n## Valhalla Python bindings\n\n| [] | [] |\n\nThis folder contains the Python bindings to [Valhalla routing engine](https://github.com/valhalla/valhalla).\n\n> [!NOTE]\n> `pyvalhalla(-weekly)` packages are currently only published for:\n> - `linux-x86_x64`\n> - `win-amd64`\n> - `macos-arm64`\n\nOn top of the (very) high-level Python bindings, we package some data-building Valhalla executables to ease the process of graph creation or run Valhalla as a service, see [below](#valhalla-executables-linux-x86_x64-only).\n\n### Installation\n\nWe distribute all currently maintained CPython versions as **binary wheels** for Win64, MacOS (`arm64`) and Linux (`x86_64`) distributions with `glibc>=2.28`. We **do not** offer a source distribution on PyPI.\n\n`pip install pyvalhalla` to install the most recent Valhalla **release**. \n`pip install pyvalhalla-weekly` to install the weekly published Valhalla **master commit**.\n\n### Usage\n\n#### Bindings\n\nFind a more extended notebook in `./examples`, e.g. how to [use the actor](https://github.com/valhalla/valhalla/blob/master/src/bindings/python/examples/actor_examples.ipynb).\n\nBefore using the Python bindings you need to have access to a routable Valhalla graph. Either install Valhalla from source and built the graph from OSM compatible data or use our [Valhalla docker image](https://github.com/valhalla/valhalla/docker/README.md) for a painless experience, e.g. this will build the routing graph for Andorra in `./custom_files`:\n\n```shell\ndocker run --rm --name valhalla -p 8002:8002 -v $PWD/custom_files:/custom_files -e tile_urls=https://download.geofabrik.de/europe/andorra-latest.osm.pbf ghcr.io/valhalla/valhalla-scripted:latest\n```\n\nOnce you have created a graph locally, you can use it like this:\n\n```python\nfrom valhalla import Actor, get_config, get_help\n\n# generate configuration\nconfig = get_config(tile_extract='./custom_files/valhalla_tiles.tar', verbose=True)\n\n# print the help for specific config items (has the same structure as the output of get_config()\nprint(get_help()[\"service_limits\"][\"auto\"][\"max_distance\"])\n\n# instantiate Actor to load graph and call actions\nactor = Actor(config)\nroute = actor.route({\"locations\": [...]})\n```\n\n#### Valhalla executables (**`linux-x86_x64` only**)\n\nTo access the C++ (native) executables, there are 2 options:\n\n- (recommended) execute the module, e.g. `python -m valhalla valhalla_build_tiles -h`\n- execute the Python wrapper scripts directly, e.g. `valhalla_build_tiles -h`\n\n> [!NOTE]\n> For the latter option to work, the Python environment's `bin/` folder has to be in the `$PATH`. Inside virtual environments, that's always the case.\n\nExecuting the scripts directly might also not work properly if there's a system-wide Valhalla installation, unless the Python environment's `bin/` folder has higher priority than system folders in `$PATH`. The module execution uses an explicit Python executable which should be preferred.\n\nThere are also some additional commands we added:\n\n- `--help`: print the help for `python -m valhalla` explicitly\n- `--quiet`: redirect `stdout` of the C++ executables to `/dev/null`; can be added **once** anywhere in the command, will not be forwarded to a C++ executable\n- `print_bin_path`: simply prints the absolute path to the package-internal `bin/` directory where the C++ executables are; useful if the executables should be accessed directly in some script\n\nTo find out which Valhalla executables are currently included, run `python -m valhalla --help`. We limit the number of executables to control the wheel size. However, we're open to include any other executable if there's a good reason.\n\n### Building from source\n\n#### Linux\n\nTo package arch-dependent Linux bindings we use a `manylinux` fork, where we install all dependencies into the `manylinux_2_28` image, based on AlmaLinux 8. This is necessary to have a broad `glibc` compatibility with many semi-recent Linux distros.\n\nEither pull the `manylinux` image, or build it locally for testing:\n\n```shell\ndocker pull ghcr.io/valhalla/manylinux:2_28_valhalla_python\n\n# or pull the image from ghcr.io\ngit clone https://github.com/valhalla/manylinux\ncd manylinux\nPOLICY=manylinux_2_28 PLATFORM=x86_64 COMMIT_SHA=$(git rev-parse --verify HEAD) BUILDX_BUILDER=builder-docker-container ./build.sh\ndocker tag quay.io/pypa/manylinux_2_28_x86_64:$(git rev-parse --verify HEAD) ghcr.io/valhalla/manylinux:2_28_valhalla_python\n```\n\nOnce built, start a container to actually build Valhalla using AlmaLinux 8:\n\n```shell\ncd valhalla\ndocker run -dt -v $PWD:/valhalla-py --name valhalla-py --workdir /valhalla-py ghcr.io/valhalla/manylinux:2_28_valhalla_python\ndocker exec -t valhalla-py /valhalla-py/src/bindings/python/scripts/build_manylinux.sh build_manylinux 3.13\n```\n\nThis will also build & install `libvalhalla` before building the bindings. 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