pax_global_header00006660000000000000000000000064151625055770014527gustar00rootroot0000000000000052 comment=5593369089496356db55c1ecf0112e1cab2c3488 geopandas-xyzservices-88d8a18/000077500000000000000000000000001516250557700164335ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/.github/000077500000000000000000000000001516250557700177735ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/.github/PULL_REQUEST_TEMPLATE/000077500000000000000000000000001516250557700232525ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/.github/PULL_REQUEST_TEMPLATE/community_contribution.md000066400000000000000000000010111516250557700304100ustar00rootroot00000000000000--- name: Contribution of a new provider about: Contributing additional providers to an xyzservices-providers.JSON title: "PRO:" labels: "community_contribution" --- Before adding a new provider, please check that: - [ ] The provider does not exist in `provider_sources/leaflet-providers-parsed.json`. - [ ] The provider does not exist in `provider_sources/xyzservices-providers.json`. - [ ] The provider URL is correct and tiles properly load. - [ ] The provider contains at least `name`, `url` and `attribution`. geopandas-xyzservices-88d8a18/.github/dependabot.yml000066400000000000000000000003321516250557700226210ustar00rootroot00000000000000version: 2 updates: # Maintain dependencies for GitHub Actions - package-ecosystem: "github-actions" directory: "/" schedule: # Check for updates to GitHub Actions every week interval: "weekly" geopandas-xyzservices-88d8a18/.github/workflows/000077500000000000000000000000001516250557700220305ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/.github/workflows/release_to_pypi.yml000066400000000000000000000032171516250557700257410ustar00rootroot00000000000000name: Publish xyzservices to PyPI / GitHub on: push: tags: - "2*" jobs: build-n-publish: name: Build and publish xyzservices to PyPI runs-on: ubuntu-latest steps: - name: Checkout source uses: actions/checkout@v6 - name: Set up Python uses: actions/setup-python@v6 with: python-version: "3.x" - name: Build a binary wheel and a source tarball run: | python -m pip install --upgrade pip pip install build python -m build - name: Publish distribution to PyPI uses: pypa/gh-action-pypi-publish@release/v1 with: user: __token__ password: ${{ secrets.PYPI_API_TOKEN }} - name: Create GitHub Release id: create_release uses: actions/create-release@v1 env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # This token is provided by Actions, you do not need to create your own token with: tag_name: ${{ github.ref }} release_name: ${{ github.ref }} draft: false prerelease: false - name: Get Asset name run: | export PKG=$(ls dist/ | grep tar) set -- $PKG echo "name=$1" >> $GITHUB_ENV - name: Upload Release Asset (sdist) to GitHub id: upload-release-asset uses: actions/upload-release-asset@v1 env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} with: upload_url: ${{ steps.create_release.outputs.upload_url }} asset_path: dist/${{ env.name }} asset_name: ${{ env.name }} asset_content_type: application/zip geopandas-xyzservices-88d8a18/.github/workflows/test_providers.yml000066400000000000000000000022041516250557700256250ustar00rootroot00000000000000name: Test providers on: push: branches: - "*" pull_request: branches: - "*" schedule: - cron: "59 23 * * 3" jobs: provider_testing: name: Test providers runs-on: ubuntu-latest timeout-minutes: 120 env: THUNDERFOREST: ${{ secrets.THUNDERFOREST }} JAWG: ${{ secrets.JAWG }} MAPBOX: ${{ secrets.MAPBOX }} MAPTILER: ${{ secrets.MAPTILER }} TOMTOM: ${{ secrets.TOMTOM }} OPENWEATHERMAP: ${{ secrets.OPENWEATHERMAP }} HEREV3: ${{ secrets.HEREV3 }} STADIA: ${{ secrets.STADIA }} defaults: run: shell: bash -l {0} steps: - name: checkout repo uses: actions/checkout@v6 - name: setup micromamba uses: mamba-org/setup-micromamba@v3 with: environment-file: ci/latest.yaml micromamba-version: "latest" - name: Install xyzservices run: pip install . - name: test providers - bash run: pytest -v . -m request --cov=xyzservices --cov-append --cov-report term-missing --cov-report xml --color=yes -n auto - uses: codecov/codecov-action@v6 geopandas-xyzservices-88d8a18/.github/workflows/tests.yaml000066400000000000000000000024551516250557700240640ustar00rootroot00000000000000name: Tests on: push: branches: - "*" pull_request: branches: - "*" schedule: - cron: "59 23 * * 3" jobs: unittests: name: ${{ matrix.os }}, ${{ matrix.environment-file }} runs-on: ${{ matrix.os }} timeout-minutes: 120 strategy: matrix: os: [macos-latest, ubuntu-latest, windows-latest] environment-file: [ci/latest.yaml] defaults: run: shell: bash -l {0} steps: - name: checkout repo uses: actions/checkout@v6 - name: setup micromamba uses: mamba-org/setup-micromamba@v3 with: environment-file: ${{ matrix.environment-file }} micromamba-version: "latest" - name: Install xyzservices run: pip install . - name: run tests - bash run: pytest -v . -m "not request" --cov=xyzservices --cov-append --cov-report term-missing --cov-report xml --color=yes - name: remove JSON from share and test fallback run: | python -c 'import os, sys; os.remove(os.path.join(sys.prefix, "share", "xyzservices", "providers.json"))' pytest -v . -m "not request" --cov=xyzservices --cov-append --cov-report term-missing --cov-report xml --color=yes if: matrix.os != 'windows-latest' - uses: codecov/codecov-action@v6 geopandas-xyzservices-88d8a18/.github/workflows/update_providers.yaml000066400000000000000000000023371516250557700263000ustar00rootroot00000000000000name: Update leaflet providers/compress JSON on: schedule: - cron: '42 23 1,15 * *' workflow_dispatch: inputs: version: description: Manual update reason default: refresh required: false jobs: unittests: name: Update leaflet providers runs-on: ubuntu-latest timeout-minutes: 30 strategy: matrix: environment-file: [ci/update_providers.yaml] steps: - name: checkout repo uses: actions/checkout@v6 - name: setup micromamba uses: mamba-org/setup-micromamba@v3 with: environment-file: ${{ matrix.environment-file }} micromamba-version: 'latest' - name: Parse leaflet providers/compress output shell: bash -l {0} run: | make update-leaflet make compress - name: Commit files run: | git config --global user.name 'github-actions[bot]' git config --global user.email '41898282+github-actions[bot]@users.noreply.github.com' git add provider_sources/leaflet-providers-parsed.json git add xyzservices/data/providers.json git commit -am "Update leaflet providers/compress JSON [automated]" git push geopandas-xyzservices-88d8a18/.gitignore000066400000000000000000000036421516250557700204300ustar00rootroot00000000000000# Extra XYZservices provider_sources/leaflet-providers-raw.json # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation doc/build/ # Copied file doc/source/_static/providers.json # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ .vscode/settings.json .DS_Store .ruff_cachegeopandas-xyzservices-88d8a18/.pre-commit-config.yaml000066400000000000000000000003301516250557700227100ustar00rootroot00000000000000ci: autofix_prs: false autoupdate_schedule: quarterly files: 'xyzservices\/' repos: - repo: https://github.com/astral-sh/ruff-pre-commit rev: "v0.14.10" hooks: - id: ruff - id: ruff-format geopandas-xyzservices-88d8a18/CHANGELOG.md000066400000000000000000000154251516250557700202530ustar00rootroot00000000000000Changelog ========= xyzservices 2026.3.0 (March 30, 2026) ------------------------------------- - Update URL of ThunderForest tiles and add Atlas style - Fix TileProvider.from_qms API URL. xyzservices 2025.10.0 (October 30, 2025) ---------------------------------------- - Remove deprecated HERE API v2 and rename HEREv3 to HERE updated to API v3 xyzservices 2025.4.0 (April 25, 2025) ------------------------------------- - add UN clear map by @fede-bello in #186 xyzservices 2025.1.0 (January 18, 2025) --------------------------------------- - Remove OpenStreetMap.BlackAndWhite and properly mark broken as broken by @martinfleis in #183 xyzservices 2024.9.0 (September 3, 2025) ---------------------------------------- - Adding back NASA's BlueMarble by @betolink in #172 - Automated update of GeoportailFrance tiles xyzservices 2024.6.0 (June 6, 2024) ------------------------------------ Providers: - Added ``BlueMarbleBathymetry`` and ``MEaSUREsIceVelocity`` tiles to the ``NASAGIBS`` provider (#168) - Updated ``GeoportailFrance`` TileMatrixSet information. xyzservices 2024.4.0 (April 3, 2024) ------------------------------------ Providers: - ``GeoportailFrance`` tiles are now using the new ``data.geopf.fr`` domain instead of deprecated ``wxs.ign.fr`` (#166) - ``NASAGIBS.BlueMarble3413`` and ``NASAGIBS.BlueMarble3031`` URLs are now fixed (#162) - ```NASAGIBS.BlueMarble`` was removed as the URL no longer works. - ``Esri.DeLorme`` and ``NASAGIBS.ModisTerraChlorophyll`` are marked as broken. - Added ``BaseMapDE`` and ``TopPlusOpen`` providers. - Addded ``Jawg.Lagoon``, ``MapTiler.Ocean``, ``MapTiler.Backdrop``, ``MapTiler.Dataviz`` tiles. - Updated ``NLS`` to use their new ``MapTiler`` service. xyzservices 2023.10.1 (October 26, 2023) ---------------------------------------- Providers: - ``Stamen`` tiles have been removed due to their upstream deprecation. Use ``Stamen`` styles of ``Stadia`` provider instead. - ``JusticeMap`` tiles are temporarily marked as broken. xyzservices 2023.10.0 (October 5, 2023) --------------------------------------- Providers: - ``Stamen`` tiles are now available under ``Stadia`` provider. xyzservices 2023.7.0 (July 13, 2023) ------------------------------------ Providers: - Added ``GeoportailFrance`` ``Orthoimagery_Orthophotos_Irc_express_2023`` and ``Orthoimagery_Orthophotos_Ortho_express_2023`` layers - Updated domain for ``OpenStreetMap.DE`` - Marked ``GeoportailFrance.Orthoimagery_Orthophotos_1980_1995`` as possibly broken xyzservices 2023.5.0 (May 19, 2023) ----------------------------------- Providers: - Added ``OrdnanceSurvey`` layers xyzservices 2023.2.0 (February 19, 2023) ---------------------------------------- Providers: - Updated available layers of ``GeoportailFrance`` Bug fixes: - Use ``pkgutil`` instead of ``importlib`` to fetch the JSON if the default in ``share`` is not available. Fixes this fallback for Python 3.8. xyzservices 2022.09.0 (September 19, 2022) ------------------------------------------ Providers: - Added ``GeoportailFrance`` tile layers (#126) Enhancements: - Better cleaning of names in ``query_name`` method Documentation: - Added a gallery of included tiles to the documentation (#114) xyzservices 2022.06.0 (June 21, 2022) ------------------------------------- Providers: - Added ``NASAGIBS.ASTER_GDEM_Greyscale_Shaded_Relief`` - Added ``Esri.ArcticImagery`` (EPSG:5936) and ``Esri.AntarcticImagery`` (EPSG:3031) xyzservices 2022.04.0 (April 14, 2022) -------------------------------------- Providers: - Update ``OpenStreetMap.DE`` URL - Remove broken Hydda tiles xyzservices 2022.03.0 (March 9, 2022) ------------------------------------- Providers: - Added ``Esri`` ``ArcticOceanBase``, ``ArcticOceanReference`` and ``AntarcticBasemap`` xyzservices 2022.02.0 (February 10, 2022) ---------------------------------------- Providers: - Fixed ``MapTiler.Winter`` - Updated ``AzureMaps`` links xyzservices 2022.01.1 (January 20, 2022) ---------------------------------------- Providers: - Added ``NASAGIBS.BlueMarble`` datasets in EPSG 3857 (default), 3413, and 3031 - Added more ``MapTiler`` providers (``Outdoor``, ``Topographique``, ``Winter``, ``Satellite``, ``Terrain``, and ``Basic4326`` in ESPG 4326). xyzservices 2022.01.0 (January 17, 2022) ---------------------------------------- Providers: - Added ``SwissFederalGeoportal`` providers (``NationalMapColor``, ``NationalMapGrey``, ``SWISSIMAGE``, ``JourneyThroughTime``) xyzservices 2021.11.0 (November 06, 2021) ---------------------------------------- Providers: - Updated deprecated links to ``nlmaps`` providers - Added ``nlmaps.water`` xyzservices 2021.10.0 (October 19, 2021) ---------------------------------------- Providers: - Added ``OPNVKarte`` map - Removed discontinued ``OpenPtMap`` - Max zoom of ``CartoDB`` tiles changed from 19 to 20 xyzservices 2021.09.1 (September 20, 2021) ------------------------------------------ New functionality: - Added ``Bunch.query_name()`` method allowing to fetch the ``TileProvider`` object based on the name with flexible formatting. (#93) xyzservices 2021.09.0 (September 3, 2021) ----------------------------------------- Providers: - Fixed ``Strava`` maps (#85) - Fixed ``nlmaps.luchtfoto`` (#90) - Fixed ``NASAGIBS.ModisTerraSnowCover`` (#90) - ``JusticeMap`` and ``OpenAIP`` now use https instead of http xyzservices 2021.08.1 (August 12, 2021) --------------------------------------- Providers: - Added ``OpenStreetMap.BlackAndWhite`` (#83) - Added ``Gaode`` tiles (``Normal`` and ``Satellite``) (#83) - Expanded ``NASAGIBS`` tiles with ``ModisTerraBands721CR``, ``ModisAquaTrueColorCR``, ``ModisAquaBands721CR`` and ``ViirsTrueColorCR`` (#83) - Added metadata to ``Strava`` maps (currently down) (#83) xyzservices 2021.08.0 (August 8, 2021) -------------------------------------- New functionality: - Added ``TileProvider.from_qms()`` allowing to create a ``TileProvider`` object from the remote [Quick Map Services](https://qms.nextgis.com/about) repository (#71) - Added support of ``html_attribution`` to have live links in attributions in HTML-based outputs like leaflet (#60) - New ``Bunch.flatten`` method creating a flat dictionary of ``TileProvider`` objects based on a nested ``Bunch`` (#68) - Added ``fill_subdomain`` keyword to ``TileProvider.build_url`` to control ``{s}`` placeholder in the URL (#75) - New Bunch.filter method to filter specific providers based on keywords and other criteria (#76) Minor enhancements: - Indent providers JSON file for better readability (#64) - Support dark themes in HTML repr (#70) - Mark broken providers with ``status="broken"`` attribute (#78) - Document providers requiring registrations (#79) xyzservices 2021.07 (July 30, 2021) ----------------------------------- The initial release provides ``TileProvider`` and ``Bunch`` classes and an initial set of providers. geopandas-xyzservices-88d8a18/CONTRIBUTING.md000066400000000000000000000101531516250557700206640ustar00rootroot00000000000000# Contributing to `xyzservices` Contributions to `xyzservices` are very welcome. They are likely to be accepted more quickly if they follow these guidelines. There are two main groups of contributions - adding new provider sources and contributions to the codebase and documentation. ## Providers If you want to add a new provider, simply add its details to `provider_sources/xyzservices-providers.json`. You can add a single `TileProvider` or a `Bunch` of `TileProviders`. Use the following schema to add a single provider: ```json { ... "single_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, ... } ``` If you want to add a bunch of related providers (different versions from a single source like `Stamen.Toner` and `Stamen.TonerLite`), you can group then within a `Bunch` using the following schema: ```json { ... "provider_bunch_name": { "first_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, "second_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png?access-token={accessToken}", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik", "accessToken": "" } }, ... } ``` It is mandatory to always specify at least `name`, `url`, and `attribution`. Don't forget to add any other custom attribute required by the provider. When specifying a placeholder for the access token, please use the `""` string to ensure that `requires_token()` method works properly. Once updated, you can (optionally) compress the provider sources by executing `make compress` from the repository root. ```bash cd xyzservices make compress ``` ## Code and documentation At this stage of `xyzservices` development, the priorities are to define a simple, usable, and stable API and to have clean, maintainable, readable code. In general, `xyzservices` follows the conventions of the GeoPandas project where applicable. In particular, when submitting a pull request: - All existing tests should pass. Please make sure that the test suite passes, both locally and on GitHub Actions. Status on GHA will be visible on a pull request. GHA are automatically enabled on your own fork as well. To trigger a check, make a PR to your own fork. - Ensure that documentation has built correctly. It will be automatically built for each PR. - New functionality should include tests. Please write reasonable tests for your code and make sure that they pass on your pull request. - Classes, methods, functions, etc. should have docstrings and type hints. The first line of a docstring should be a standalone summary. Parameters and return values should be documented explicitly. - Follow PEP 8 when possible. We use Black and Flake8 to ensure a consistent code format throughout the project. For more details see the [GeoPandas contributing guide](https://geopandas.readthedocs.io/en/latest/community/contributing.html). - Imports should be grouped with standard library imports first, 3rd-party libraries next, and `xyzservices` imports third. Within each grouping, imports should be alphabetized. Always use absolute imports when possible, and explicit relative imports for local imports when necessary in tests. - `xyzservices` supports Python 3.7+ only. When possible, do not introduce additional dependencies. If that is necessary, make sure they can be treated as optional. ## Updating sources from leaflet `leaflet-providers-parsed.json` is an automatically generated file. You can create a fresh version using `make update-leaflet` from the repository root: ```bash cd xyzservices make update-leaflet ``` Note that you will need functional installation of `selenium` with Firefox webdriver, `git` and `html2text` packages.geopandas-xyzservices-88d8a18/LICENSE000066400000000000000000000027551516250557700174510ustar00rootroot00000000000000BSD 3-Clause License Copyright (c) 2021, GeoPandas All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. geopandas-xyzservices-88d8a18/MANIFEST.in000066400000000000000000000000671516250557700201740ustar00rootroot00000000000000include LICENSE include xyzservices/data/providers.jsongeopandas-xyzservices-88d8a18/Makefile000066400000000000000000000004241516250557700200730ustar00rootroot00000000000000.PHONY: update-leaflet compress # update leaflet-providers_parsed.json from source update-leaflet: cd provider_sources && \ python _parse_leaflet_providers.py # compress json sources to data/providers.json compress: cd provider_sources && \ python _compress_providers.pygeopandas-xyzservices-88d8a18/README.md000066400000000000000000000066541516250557700177250ustar00rootroot00000000000000# xyzservices - Source of XYZ tiles providers `xyzservices` is a lightweight library providing a repository of available XYZ services offering raster basemap tiles. The repository is provided via Python API and as a compressed JSON file. XYZ tiles can be used as background for your maps to provide necessary spatial context. `xyzservices` offer specifications of many tile services and provide an easy-to-use tools to plug them into your work, no matter if interactive or static. [![Tests](https://github.com/geopandas/xyzservices/actions/workflows/tests.yaml/badge.svg)](https://github.com/geopandas/xyzservices/actions/workflows/tests.yaml) [![codecov](https://codecov.io/gh/geopandas/xyzservices/branch/main/graph/badge.svg?token=PBSZQA48GY)](https://codecov.io/gh/geopandas/xyzservices) [![PyPi](https://img.shields.io/pypi/v/xyzservices.svg)](https://pypi.python.org/pypi/xyzservices) ## Quick Start Using `xyzservices` is simple and in most cases does not involve more than a line of code. ### Installation You can install `xyzservices` from `conda` or `pip`: ```shell conda install xyzservices -c conda-forge ``` ```shell pip install xyzservices ``` The package does not depend on any other apart from those built-in in Python. ### Providers API The key part of `xyzservices` are providers: ```py >>> import xyzservices.providers as xyz ``` `xyzservices.providers` or just `xyz` for short is a `Bunch` of providers, an enhanced `dict`. If you are in Jupyter-like environment, `xyz` will offer collapsible inventory of available XYZ tile sources. You can also explore it as a standard `dict` using `xyz.keys()`. Once you have picked your provider, you get its details as a `TileProvider` object with all the details you may need: ```py >>> xyz.CartoDB.Positron.url 'https://{s}.basemaps.cartocdn.com/{variant}/{z}/{x}/{y}{r}.png' >>> xyz.CartoDB.Positron.attribution '(C) OpenStreetMap contributors (C) CARTO' ``` You can also check if the `TileProvider` needs API token and pass it to the object if needed. ```py >>> xyz.MapBox.requires_token() True >>> xyz.MapBox["accessToken"] = "my_personal_token" >>> xyz.MapBox.requires_token() False ``` ### Providers JSON After the installation, you will find the JSON used as a database of providers in `share/xyzservices/providers.json` if you want to use it outside of a Python ecosystem. ## Contributors `xyzservices` is developed by a community of enthusiastic volunteers and lives under [`geopandas`](https://github.com/geopandas) GitHub organization. You can see a full list of contributors [here](https://github.com/geopandas/xyzservices/graphs/contributors). The main group of providers is retrieved from the [`leaflet-providers` project](https://github.com/leaflet-extras/leaflet-providers) that contains both openly accessible providers as well as those requiring registration. All of them are considered [free](https://github.com/leaflet-extras/leaflet-providers/blob/master/README.md#what-do-we-mean-by-free). If you would like to contribute to the project, have a look at the list of [open issues](https://github.com/geopandas/contextily/issues), particularly those labeled as [good first issue](https://github.com/geopandas/xyzservices/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22). ## License BSD 3-Clause License Resources coming from the [`leaflet-providers` project](https://github.com/leaflet-extras/leaflet-providers) are licensed under BSD 2-Clause License (© 2013 Leaflet Providers) geopandas-xyzservices-88d8a18/ci/000077500000000000000000000000001516250557700170265ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/ci/latest.yaml000066400000000000000000000002161516250557700212050ustar00rootroot00000000000000name: test channels: - conda-forge dependencies: - python - mercantile - requests # tests - pytest - pytest-cov - pytest-xdistgeopandas-xyzservices-88d8a18/ci/update_providers.yaml000066400000000000000000000003241516250557700232700ustar00rootroot00000000000000name: update_providers channels: - conda-forge dependencies: - python # tests - pytest - pytest-cov - selenium==4.10 - geckodriver - firefox - gitpython - html2text - xmltodict - requests geopandas-xyzservices-88d8a18/codecov.yml000066400000000000000000000002421516250557700205760ustar00rootroot00000000000000coverage: status: project: default: target: 90% # the required coverage value threshold: 0.2% # the leniency in hitting the targetgeopandas-xyzservices-88d8a18/doc/000077500000000000000000000000001516250557700172005ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/doc/Makefile000066400000000000000000000011761516250557700206450ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = source BUILDDIR = build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) geopandas-xyzservices-88d8a18/doc/make.bat000066400000000000000000000014371516250557700206120ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=source set BUILDDIR=build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd geopandas-xyzservices-88d8a18/doc/requirements.txt000066400000000000000000000000651516250557700224650ustar00rootroot00000000000000myst-nb numpydoc sphinx sphinx-copybutton furo foliumgeopandas-xyzservices-88d8a18/doc/source/000077500000000000000000000000001516250557700205005ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/doc/source/_static/000077500000000000000000000000001516250557700221265ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/doc/source/_static/custom.css000066400000000000000000000014231516250557700241520ustar00rootroot00000000000000span#release { font-size: x-small; } .main-container { position: relative; margin-left: auto; margin-right: auto; margin-top: 50px; margin-bottom: 10px; } .table-container { font-size: 18px; width: 100%; margin-top: 30px; margin-bottom: 30px; background-color: rgba(128, 128, 128, 0.1); } .map-container { height: 250px; margin-left: auto; margin-right: auto; margin-top: 20px; margin-bottom: 20px; padding: 20px; } .key-container { font-size: 16px; } .key-cell { font-size: 16px; line-height: 22px; vertical-align: top; width: 200px; color: rgba(128, 128, 128, 1); align-items: top; } .val-cell { font-size: 16px; width: 200px; margin-right: 50px; line-height: 22px; }geopandas-xyzservices-88d8a18/doc/source/_static/generate_gallery.js000066400000000000000000000235041516250557700260010ustar00rootroot00000000000000function getBaseMapName(data) { var name = data["name"]; if (name.includes(".")) { var basemap = name.split(".")[0]; } else { var basemap = name; } return basemap; } var accessData = { // contains the keys for basemaps that need some identification data (apikey, access token or ID code) Thunderforest: { keyString: "apikey", idString: "", name: "Thunderforest", }, OpenWeatherMap: { keyString: "apiKey", idString: "", name: "OpenWeatherMap", }, MapTiler: { keyString: "key", idString: "", name: "MapTiler", }, MapBox: { keyString: "accessToken", idString: "", name: "MapBox", }, Jawg: { keyString: "accessToken", idString: "", name: "Jawg", }, TomTom: { keyString: "apikey", idString: "", name: "TomTom", }, HERE: { keyString: "app_code", idString: "app_id", name: "HERE", }, HEREv3: { keyString: "apiKey", idString: "", name: "HEREv3", }, AzureMaps: { keyString: "subscriptionKey", idString: "", name: "AzureMaps", }, OrdnanceSurvey: { keyString: "key", idString: "", name: "OrdnanceSurvey", }, }; function initMap(el, data, accessData) { basemap = getBaseMapName(data); const mainContainer = document.createElement("div"); mainContainer.className = "main-container"; el.append(mainContainer); var titleDiv = document.createElement("h2"); titleDiv.className = "title-container"; titleDiv.textContent = data["name"]; mainContainer.append(titleDiv); var mapContainer = document.createElement("div"); mapContainer.className = "map-container"; mainContainer.append(mapContainer); key = Object.keys(data); val = Object.values(data); nbOfRows = Object.keys(data).length; var latitude = 0; var longitude = 0; var zoom = 1; try { //---------------------Basemaps with specific locations ------------------------------- //----and zooms to optimize the map views restricted to given geographic areas--------- if ( data["name"] === "Esri.ArcticOceanReference" || data["name"] === "Esri.ArcticOceanBase" ) { latitude = 65.421505; // Artic ocean longitude = -70.965421; zoom = 1; } else if (data["name"] === "Esri.AntarcticBasemap") { latitude = 82.8628; // Antarctic ocean longitude = 135.0; zoom = 6; } else if (basemap == 'GeoportailFrance') { latitude = 46.749998; longitude = 1.85; zoom = 6 } else if (basemap === "OpenFireMap" || basemap === "OpenSeaMap") { latitude = 50.1109; // Frankfurt longitude = 8.6821; zoom = 14; } else if (basemap === "OpenAIP") { latitude = 50.1109; // Frankfurt longitude = 8.6821; zoom = 9; } else if (basemap === "Stamen") { latitude = 32.7766642; // Dallas longitude = -96.7969879; zoom = 6; } else if (basemap === "FreeMapSK") { latitude = 48.736277; // Banská Bystrica Slovaky longitude = 19.146192; zoom = 14; } else if (basemap === "JusticeMap") { latitude = 39.7392358; // Denver longitude = -104.990251; zoom = 3; } else if ( basemap === "OpenWeatherMap" || basemap === "Esri" || basemap === "USGS" || basemap === "WaymarkedTrails" ) { latitude = 32.7766642; // Dallas longitude = -96.7969879; zoom = 4; } else if (basemap === "BasemapAT") { latitude = 47.5652; // Liezen longitude = 14.2424; zoom = 14; } else if (basemap === "nlmaps") { latitude = 52.370216; // Amsterdam longitude = 4.895168; zoom = 14; } else if (basemap === "NLS" || basemap === "OrdnanceSurvey") { latitude = 53.381129; // Sheffield longitude = -1.470085; zoom = 12; } else if (basemap === "OneMapSG") { latitude = 1.352083; // Singapore longitude = 103.819836; zoom = 14; } else if (basemap === "SwissFederalGeoportal") { latitude = 46.5196535; // Lausanne longitude = 6.6322734; zoom = 10; } else if (basemap === "OpenSnowMap") { latitude = 45.923697; // Chamonix longitude = 6.869433; zoom = 14; } else if (basemap === "Gaode") { latitude = 39.904211; // Pekin longitude = 116.407395; zoom = 14; } else if (basemap === "NASAGIBS" || basemap === "Strava") { latitude = 48.856614; // Paris longitude = 2.3522219; zoom = 4; } else { latitude = 48.856614; // Paris longitude = 2.3522219; zoom = 14; } var sampleMap = L.map(mapContainer, { attributionControl: true }).setView( [latitude, longitude], zoom ); // Case with no apikey if (accessData[basemap] === undefined) { L.tileLayer(data["url"], data).addTo(sampleMap); tbl1 = document.createElement("table"); tbl1.className = "table-container"; for (let i = 0; i < nbOfRows; i++) { const tr1 = tbl1.insertRow(); tr1.className = "line-container"; for (let j = 0; j < 2; j++) { if (i === nbOfRows - 2 && j === 2) { break; } else { const td1 = tr1.insertCell(); if (j == 0) { // First column of the table : the one with the keys td1.className = "key-cell"; td1.textContent = key[i]; } else { // Second column of the table : the one with the values of the metadata td1.className = "val-cell"; td1.textContent = val[i]; } } } } mainContainer.appendChild(tbl1); } else { // Case with apikey var dict = accessData[basemap]; var keyString = dict["keyString"]; tbl2 = document.createElement("table"); tbl2.className = "table-container"; for (let i = 0; i < nbOfRows; i++) { const tr2 = tbl2.insertRow(); tr2.className = "line-container"; for (let j = 0; j < 2; j++) { if (i === nbOfRows - 2 && j === 2) { break; } else { const td2 = tr2.insertCell(); if (j == 0) { // First column of the table containing the keys of the metadata td2.className = "key-cell"; td2.textContent = key[i]; } else { // Second column of the table containing the values of the metadata td2.className = "val-cell"; // create a single input and a button with onclick function for apikey if (key[i] === keyString) { var keyInput = document.createElement("input"); keyInput.type = "password"; keyInput.placeholder = "Enter your API key please"; keyInput.className = "key-container"; td2.append(keyInput); var validationButton = document.createElement("button"); validationButton.className = "button-container"; td2.append(validationButton); validationButton.innerHTML = "validate"; validationButton.onclick = get_keyCode; function get_keyCode() { val[i] = keyInput.value; data[keyString] = keyInput.value; L.tileLayer(data["url"], data).addTo(sampleMap); } } else { td2.textContent = val[i]; } } } } } mainContainer.appendChild(tbl2); } } catch {} } function initLeafletGallery(el) { fetch('_static/providers.json') .then(response => response.json()) .then(data => { var dataList = []; for ([key, val] of Object.entries(data)) { if (val["url"] === undefined) { // check if url is a key of the JSON object, if not go one level deeper and define the val as the new object newData = val; for ([newKey, newVal] of Object.entries(newData)) { /*if (newVal["bounds"] !== undefined) { newVal["bounds"] = undefined; }*/ dataList.push(newVal); } } else { dataList.push(val); } } dataList.forEach((baseMapData) => { initMap(el, baseMapData, accessData); }); }); }geopandas-xyzservices-88d8a18/doc/source/_static/xyzmaps.jpg000066400000000000000000013472371516250557700243640ustar00rootroot00000000000000JFIFHHExifMM*JR(iZHHo8Photoshop 3.08BIM8BIM%ُ B~dICC_PROFILETlcms0mntrRGB XYZ  acspAPPL-lcms desc>cprtHLwtptchad,rXYZbXYZgXYZrTRC gTRC bTRC chrm0$mluc enUS"sRGB IEC61966-2.1mluc enUS0No copyright, use freelyXYZ -sf32 B%nXYZ o8XYZ $XYZ bparaff Y [chrmT{L&f\o" }!1AQa"q2#BR$3br %&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz w!1AQaq"2B #3Rbr $4%&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyzC C  K ?4o2Eif K| G}j>'>>_o*Da@Iɯ{񙋝yKW{M;'׿xu'6.`t;X?ȱ(q5%ıca\d_uY%G6ǫsrjG4$rg-F: rV:TJ~җWظ]gPEޡw q9Քt?}[uk Yӵ+D) RۂB/ʩF9Ijw6[on0qFO97 񫘁 >5YoםOiQN֛F߉L6#:ŭV i`@y&#Ȟb#`q:? 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The JSON is structured along the following model example: .. code-block:: json { "single_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "html_attribution": "© OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, "provider_bunch_name": { "first_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "html_attribution": "© OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, "second_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png?access-token={accessToken}", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "html_attribution": "© OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik", "accessToken": "" } } } geopandas-xyzservices-88d8a18/doc/source/changelog.rst000066400000000000000000000000371516250557700231610ustar00rootroot00000000000000.. include:: ../../CHANGELOG.mdgeopandas-xyzservices-88d8a18/doc/source/conf.py000066400000000000000000000047251516250557700220070ustar00rootroot00000000000000# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import os import shutil import sys from pathlib import Path sys.path.insert(0, os.path.abspath("../..")) import xyzservices # noqa # -- Project information ----------------------------------------------------- project = "xyzservices" copyright = "2021, Martin Fleischmann, Dani Arribas-Bel" author = "Martin Fleischmann, Dani Arribas-Bel" version = xyzservices.__version__ # The full version, including alpha/beta/rc tags release = version html_title = f'xyzservices {release}' # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ "sphinx.ext.autodoc", "numpydoc", "sphinx.ext.autosummary", "myst_nb", "sphinx_copybutton", ] jupyter_execute_notebooks = "force" autosummary_generate = True # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = [] # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "furo" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ["_static"] html_css_files = [ "custom.css", ] # html_sidebars = { # "**": ["docs-sidebar.html"], # } # html_logo = "_static/logo.svg" p = Path().absolute() shutil.copy(p.parents[1] / "xyzservices" / "data" / "providers.json", p / "_static") geopandas-xyzservices-88d8a18/doc/source/contributing.md000066400000000000000000000114031516250557700235300ustar00rootroot00000000000000# Contributing to `xyzservices` Contributions to `xyzservices` are very welcome. They are likely to be accepted more quickly if they follow these guidelines. There are two main groups of contributions - adding new provider sources and contributions to the codebase and documentation. ## Providers If you want to add a new provider, simply add its details to `provider_sources/xyzservices-providers.json`. You can add a single `TileProvider` or a `Bunch` of `TileProviders`. Use the following schema to add a single provider: ```json { "single_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "html_attribution": "© OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, } ``` If you want to add a bunch of related providers (different versions from a single source like `Stamen.Toner` and `Stamen.TonerLite`), you can group then within a `Bunch` using the following schema: ```json { "provider_bunch_name": { "first_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "html_attribution": "© OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, "second_provider_name": { "url": "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png?access-token={accessToken}", "max_zoom": 19, "attribution": "(C) OpenStreetMap contributors", "html_attribution": "© OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik", "accessToken": "" } }, } ``` It is mandatory to always specify at least `name`, `url`, and `attribution`. Don't forget to add any other custom attribute required by the provider. When specifying a placeholder for the access token, please use the `""` string to ensure that `requires_token()` method works properly. You can also specify the extent of the tile coverage using the `bounds` keyword and the format `[[lat_min, lon_min], [lat_max, lon_max]]`. See the example for the area surrounding Switzerland: ```json { "bounds": [ [ 45, 5 ], [ 48, 11 ] ], } ``` Once updated, you can (optionally) compress the provider sources by executing `make compress` from the repository root. ```bash cd xyzservices make compress ``` ## Code and documentation At this stage of `xyzservices` development, the priorities are to define a simple, usable, and stable API and to have clean, maintainable, readable code. In general, `xyzservices` follows the conventions of the GeoPandas project where applicable. In particular, when submitting a pull request: - All existing tests should pass. Please make sure that the test suite passes, both locally and on GitHub Actions. Status on GHA will be visible on a pull request. GHA are automatically enabled on your own fork as well. To trigger a check, make a PR to your own fork. - Ensure that documentation has built correctly. It will be automatically built for each PR. - New functionality should include tests. Please write reasonable tests for your code and make sure that they pass on your pull request. - Classes, methods, functions, etc. should have docstrings and type hints. The first line of a docstring should be a standalone summary. Parameters and return values should be documented explicitly. - Follow PEP 8 when possible. We use Black and Flake8 to ensure a consistent code format throughout the project. For more details see the [GeoPandas contributing guide](https://geopandas.readthedocs.io/en/latest/community/contributing.html). - Imports should be grouped with standard library imports first, 3rd-party libraries next, and `xyzservices` imports third. Within each grouping, imports should be alphabetized. Always use absolute imports when possible, and explicit relative imports for local imports when necessary in tests. - `xyzservices` supports Python 3.7+ only. When possible, do not introduce additional dependencies. If that is necessary, make sure they can be treated as optional. ## Updating sources from leaflet `leaflet-providers-parsed.json` is an automatically generated file by GHA. You can create a fresh version using `make update-leaflet` from the repository root: ```bash cd xyzservices make update-leaflet ``` Note that you will need functional installation of `selenium` with Firefox webdriver, `git` and `html2text` packages.geopandas-xyzservices-88d8a18/doc/source/gallery.rst000066400000000000000000000020141516250557700226660ustar00rootroot00000000000000Gallery ======= This page shows the different basemaps available in xyzservices. Some providers require an API key which you need to provide yourself and then validate it using the ``validate`` button to load the tiles. Other providers (e.g. Stadia) may require white-listing of a domain which may not have been done. .. raw:: html

geopandas-xyzservices-88d8a18/doc/source/index.md000066400000000000000000000077151516250557700221430ustar00rootroot00000000000000# xyzservices Source of XYZ tiles providers. ![Illustrative tiles. (C) OpenStreetMap, (C) OpenMapTIles, (C) Stadia Maps, (C) OpenTopoMap, (C) Thunderforest, (C) JawgMaps, (C) Stamen Design, (C) Esri -- Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community](_static/xyzmaps.jpg) `xyzservices` is a lightweight library providing a repository of available XYZ services offering raster basemap tiles. The repository is provided via Python API and as a compressed JSON file. XYZ tiles can be used as background for your maps to provide necessary spatial context. `xyzservices` offer specifications of many tile services and provide an easy-to-use tools to plug them into your work, no matter if interactive or static. [![Tests](https://github.com/geopandas/xyzservices/actions/workflows/tests.yaml/badge.svg)](https://github.com/geopandas/xyzservices/actions/workflows/tests.yaml) [![codecov](https://codecov.io/gh/geopandas/xyzservices/branch/main/graph/badge.svg?token=PBSZQA48GY)](https://codecov.io/gh/geopandas/xyzservices) ## Quick Start Using `xyzservices` is simple and in most cases does not involve more than a line of code. ### Installation You can install `xyzservices` from `conda` or `pip`: ```shell conda install xyzservices -c conda-forge ``` ```shell pip install xyzservices ``` The package does not depend on any other apart from those built-in in Python. ### Providers API The key part of `xyzservices` are providers: ```py >>> import xyzservices.providers as xyz ``` `xyzservices.providers` or just `xyz` for short is a `Bunch` of providers, an enhanced `dict`. If you are in Jupyter-like environment, `xyz` will offer collapsible inventory of available XYZ tile sources. You can also explore it as a standard `dict` using `xyz.keys()`. Once you have picked your provider, you get its details as a `TileProvider` object with all the details you may need: ```py >>> xyz.CartoDB.Positron.url 'https://{s}.basemaps.cartocdn.com/{variant}/{z}/{x}/{y}{r}.png' >>> xyz.CartoDB.Positron.attribution '(C) OpenStreetMap contributors (C) CARTO' ``` You can also check if the `TileProvider` needs API token and pass it to the object if needed. ```py >>> xyz.MapBox.requires_token() True >>> xyz.MapBox["accessToken"] = "my_personal_token" >>> xyz.MapBox.requires_token() False ``` ```{important} You should always check the license and terms and conditions of XYZ tiles you want to use. Not all of them can be used in all circumstances. ``` ### Providers JSON After the installation, you will find the JSON used as a database of providers in `share/xyzservices/providers.json` if you want to use it outside of a Python ecosystem. ## Contributors `xyzservices` is developed by a community of enthusiastic volunteers and lives under [`geopandas`](https://github.com/geopandas) GitHub organization. You can see a full list of contributors [here](https://github.com/geopandas/xyzservices/graphs/contributors). The main group of providers is retrieved from the [`leaflet-providers` project](https://github.com/leaflet-extras/leaflet-providers) that contains both openly accessible providers as well as those requiring registration. All of them are considered [free](https://github.com/leaflet-extras/leaflet-providers/blob/master/README.md#what-do-we-mean-by-free). If you would like to contribute to the project, have a look at the list of [open issues](https://github.com/geopandas/contextily/issues), particularly those labeled as [good first issue](https://github.com/geopandas/xyzservices/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22). ## License BSD 3-Clause License Resources coming from the [`leaflet-providers` project](https://github.com/leaflet-extras/leaflet-providers) are licensed under BSD 2-Clause License (© 2013 Leaflet Providers) ```{toctree} --- maxdepth: 2 caption: Documentation hidden: true --- introduction registration api gallery contributing changelog GitHub ``` geopandas-xyzservices-88d8a18/doc/source/introduction.ipynb000066400000000000000000001056711516250557700242760ustar00rootroot00000000000000{ "cells": [ { "cell_type": "markdown", "source": [ "# A full look into `providers` objects" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "import xyzservices.providers as xyz" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "## What is this \"provider\" object ?" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "The provider objects are stored as dictionaries (with attribute access for easy access), so we can explore them in Python (or using tab completion in an interactive session or as a collapsible inventory in Jupyter!):" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "xyz" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "Most of those providers have themselves multiple options. For example, OpenStreetMap provides multiple background styles:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "xyz.OpenStreetMap" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "Looking at a single one of those options, for example \"Mapnik\" (the default OpenStreetMap background), we can see this is a `TileProvider` object, which behaves as a dict:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "type(xyz.OpenStreetMap.Mapnik)" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "We can explore its contents:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "xyz.OpenStreetMap.Mapnik" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "A \"provider object\" is then a dictionary with a few required entries, such as the url (required, with `{z}/{x}/{y}` to be replaced), with some additional metadata information (optional). These can be the attribution text to be used on the plot (`attribution`), or the maximum zoom level available for these tiles (`max_zoom`). When this information is available, other libraries like `geopandas` or `contextily` may be smart enough to access and use it automatically." ], "metadata": {} }, { "cell_type": "markdown", "source": [ "## Which providers are available by default?" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "The providers definitions that are shipped with `xyzservices` in the `xyzservices.providers` submodule, are coming from the [`leaflet-providers`](https://github.com/leaflet-extras/leaflet-providers) package, an extension to javascript mapping library Leaflet that contains configurations for various free tile providers. Thus, all providers that are listed on their preview [http://leaflet-extras.github.io/leaflet-providers/preview/](http://leaflet-extras.github.io/leaflet-providers/preview/) should also be available in `xyzservices`. On top of that, `xyzservices` can have a few more as a bonus.\n", "\n", "```{important}\n", "You should always check the license and terms and conditions of XYZ tiles you want to use. Not all of them can be used in all circumstances.\n", "```" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "## Specifying options for a provider" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "Some providers require additional information, such as an API access key. This can be specified by calling the provider object. Any keyword specified will override the default value in the provider object.\n", "\n", "For example, the OpenWeatherMap requires an API key:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "xyz.OpenWeatherMap.Clouds" ], "outputs": [], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "xyz.OpenWeatherMap.Clouds.requires_token()" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "We can specify this API key by calling the object or overriding the attribute:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "# Overriding the attribute will alter existing object\n", "xyz.OpenWeatherMap.Clouds[\"apiKey\"] = \"my-private-api-key\"\n", "\n", "# Calling the object will return a copy\n", "xyz.OpenWeatherMap.Clouds(apiKey=\"my-private-api-key\")" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "This can then be specified where a key or token is expected. For example:\n", " \n", "```python\n", "contextily.add_basemap(ax, source=xyz.OpenWeatherMap.Clouds(apiKey=\"my-private-api-key\"))\n", "```\n", "\n", "```{note}\n", "It may occasionally happen that the `TileProvider` is broken. In such a case, it will have additional attribute `status` with a `\"broken\"` flag. If you think that the `TileProvider` is broken but it is not flagged as such, please [report it](https://github.com/geopandas/xyzservices/issues).\n", "```\n" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "## Building the tile URL\n", "\n", "Some packages like `contextily` can use `xyzservices.TileProvider` directly and parse the required information under the hood. Others need and explicit URL string, attribution and other attributes. However, not every package need the URL in the same format. `xyzsevices` can build the URL in most of the required formats, with or without placeholders.\n", "\n", "Typical use case would be a folium map, which needs a URL and an attribution with `{x}`, `{y}` and `{z}` placeholders but already filled API keys if needed. You can get the most standard URL in the `'https://myserver.com/tiles/{z}/{x}/{y}.png'` format via `TileProvider.build_url()`. And if you want a sharper resolution (when supported by the provider), you can pass an optional `scale_factor` attribute." ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "import folium\n", "\n", "tiles = xyz.CartoDB.Positron\n", "\n", "folium.Map(\n", " location=[53.4108, -2.9358],\n", " tiles=tiles.build_url(scale_factor=\"@2x\"),\n", " attr=tiles.html_attribution,\n", ")" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "If you need an URL of a single tile, you can pass `x`, `y` and `z` directly, alongside other required attributes like `accessToken`." ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "xyz.OpenWeatherMap.Clouds.build_url(x=12, y=21, z=15, apiKey=\"my-private-api-key\")" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "## Overview of built-in providers" ], "metadata": {} }, { "cell_type": "markdown", "source": [ "Let us create a flat dictionary of the built-in providers:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "providers = xyz.flatten()" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "This results in quite a few of them already available:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "len(providers)" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "For this illustration, let's single out the following ones and use `folium` to have a look at them:" ], "metadata": {} }, { "cell_type": "code", "execution_count": null, "source": [ "selection = ['OpenStreetMap.Mapnik', \n", " 'OpenTopoMap', \n", " 'Stamen.Toner', \n", " 'Stamen.TonerLite', \n", " 'Stamen.Terrain', \n", " 'Stamen.TerrainBackground', \n", " 'Stamen.Watercolor', \n", " 'NASAGIBS.ViirsEarthAtNight2012', \n", " 'CartoDB.Positron', \n", " 'CartoDB.Voyager'\n", " ]" ], "outputs": [], "metadata": {} }, { "cell_type": "markdown", "source": [ "You first create a `Map` instance, then looping through the `selection` add all selected base maps as layers. You can switch between them using the layer control in the top-right corner." ], "metadata": {} }, { "cell_type": "code", "execution_count": 24, "source": [ "m = folium.Map(location=[53.4108, -2.9358], zoom_start=8)\n", "\n", "for tiles_name in selection:\n", " tiles = providers[tiles_name]\n", " folium.TileLayer(\n", " tiles=tiles.build_url(),\n", " attr=tiles.html_attribution,\n", " name=tiles.name,\n", " ).add_to(m)\n", "\n", "folium.LayerControl().add_to(m)\n", "\n", "m" ], "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "" ], "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ] }, "metadata": {}, "execution_count": 24 } ], "metadata": {} }, { "cell_type": "markdown", "source": [ "## Loading providers from [Quick Map Services](https://qms.nextgis.com/)\n", "\n", "Even though `xyzservices` comes with a large number of built-in providers, you can load even more directly from [Quick Map Services](https://qms.nextgis.com/) using the `TileProvider.from_qms()` method. Note that the name needs to match the name in the QMS database." ], "metadata": {} }, { "cell_type": "code", "execution_count": 25, "source": [ "from xyzservices import TileProvider\n", "\n", "qms_provider = TileProvider.from_qms(\"OpenTopoMap\")\n", "qms_provider" ], "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "{'name': 'OpenTopoMap',\n", " 'url': 'https://tile.opentopomap.org/{z}/{x}/{y}.png',\n", " 'min_zoom': 0,\n", " 'max_zoom': 19,\n", " 'attribution': 'OpenTopoMap (CC-BY-SA)'}" ], "text/html": [ "\n", "
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\n", " " ] }, "metadata": {}, "execution_count": 25 } ], "metadata": {} }, { "cell_type": "markdown", "source": [ "```{important}\n", "You should always check the license and terms and conditions of XYZ tiles you want to use. Not all of them can be used in all circumstances and not all Quick Map Services can be considered free even though they may work.\n", "```" ], "metadata": {} } ], "metadata": { "interpreter": { "hash": "9914e2881520d4f08a067c2c2c181121476026b863eca2e121cd0758701ab602" }, "kernelspec": { "name": "python3", "display_name": "Python 3.9.2 64-bit ('geo_dev': conda)" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.2" } }, "nbformat": 4, "nbformat_minor": 4 }geopandas-xyzservices-88d8a18/doc/source/registration.md000066400000000000000000000105671516250557700235450ustar00rootroot00000000000000# Providers requiring registration The main group of providers is retrieved from the [`leaflet-providers` project](https://github.com/leaflet-extras/leaflet-providers) that contains both openly accessible providers as well as those requiring registration. All of them are considered [free](https://github.com/leaflet-extras/leaflet-providers/blob/master/README.md#what-do-we-mean-by-free). Below is the (potentially incomplete) list of providers requiring registration. ```{note} This page is largely taken directly from the [`leaflet-providers` project](https://github.com/leaflet-extras/leaflet-providers/blob/master/README.md). ``` ## Esri/ArcGIS In order to use ArcGIS maps, you must [register](https://developers.arcgis.com/en/sign-up/) and abide by the [terms of service](https://developers.arcgis.com/en/terms/). No special syntax is required. ## Geoportail France In order to use Geoportail France resources, you need to obtain an [api key](http://professionnels.ign.fr/ign/contrats/) that allows you to access the [resources](https://geoservices.ign.fr/documentation/donnees-ressources-wmts.html#ressources-servies-en-wmts-en-projection-web-mercator) you need. Pass this api key to the `TileProvider`: ```py xyz.GeoportailFrance.plan(apikey="") ``` Please note that a public api key (`choisirgeoportail`) is used by default and comes with no guarantee. ## HERE and HEREv3 (formerly Nokia) In order to use HEREv3 layers, you must [register](http://developer.here.com/). Once registered, you can create an `apiKey` which you have to pass to the `TileProvider`: ```py # Overriding the attribute will alter the existing object xyz.HEREv3.terrainDay["apiKey"] = "my-private-api-key" # Calling the object will return a copy xyz.HEREv3.terrainDay(apiKey="my-private-api-key") ``` You can still pass `app_id` and `app_code` in legacy projects: ```py xyz.HERE.terrainDay(app_id="my-private-app-id", app_code="my-app-code") ``` ## Jawg Maps In order to use Jawg Maps, you must [register](https://www.jawg.io/lab). Once registered, your access token will be located [here](https://www.jawg.io/lab/access-tokens) and you will access to all Jawg default maps (variants) and your own customized maps: ```py xyz.Jawg.Streets( accessToken="", variant="" ) ``` ## Mapbox In order to use Mapbox maps, you must [register](https://tiles.mapbox.com/signup). You can get map_ID (e.g. `"mapbox/satellite-v9"`) and `ACCESS_TOKEN` from [Mapbox projects](https://www.mapbox.com/projects): ```py xyz.MapBox(id="", accessToken="my-private-ACCESS_TOKEN") ``` The currently-valid Mapbox map styles, to use for map_IDs, [are listed in the Mapbox documentation](https://docs.mapbox.com/api/maps/#mapbox-styles) - only the final part of each is required, e.g. `"mapbox/light-v10"`. ## MapTiler Cloud In order to use MapTiler maps, you must [register](https://cloud.maptiler.com/). Once registered, get your API key from Account/Keys, which you have to pass to the `TileProvider`: ```py xyz.MapTiler.Streets(key="") ``` ## Thunderforest In order to use Thunderforest maps, you must [register](https://thunderforest.com/pricing/). Once registered, you have an `api_key` which you have to pass to the `TileProvider`: ```py xyz.Thunderforest.Landscape(apikey="") ``` ## TomTom In order to use TomTom layers, you must [register](https://developer.tomtom.com/user/register). Once registered, you can create an `apikey` which you have to pass to the `TileProvider`: ```py xyz.TomTom(apikey="") ``` ## Stadia Maps In order to use Stadia maps, you must [register](https://client.stadiamaps.com/signup/). Once registered, you can whitelist your domain within your account settings. Alternatively, you can use Stadia maps with an API token but you need to adapt a provider object to correct form. ```py provider = xyz.Stadia.AlidadeSmooth(api_key="") provider["url"] = provider["url"] + "?api_key={api_key}" # adding API key placeholder ``` ## Ordnance Survey In order to use Ordnance Survey layers, you must [register](https://osdatahub.os.uk/). 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The compressed JSON is shipped with the package. """ import json import warnings from datetime import date import requests import xmltodict # list of providers known to be broken and should be marked as broken in the JSON # last update: 4 Feb 2024 BROKEN_PROVIDERS = [ "JusticeMap.income", "JusticeMap.americanIndian", "JusticeMap.asian", "JusticeMap.black", "JusticeMap.hispanic", "JusticeMap.multi", "JusticeMap.nonWhite", "JusticeMap.white", "JusticeMap.plurality", "NASAGIBS.ModisTerraChlorophyll", "HEREv3.trafficFlow", "Stadia.AlidadeSatellite", ] with open("./leaflet-providers-parsed.json") as f: leaflet = json.load(f) # remove meta data leaflet.pop("_meta", None) with open("./xyzservices-providers.json") as f: xyz = json.load(f) for provider in BROKEN_PROVIDERS: provider = provider.split(".") try: if len(provider) == 1: leaflet[provider[0]]["status"] = "broken" else: leaflet[provider[0]][provider[1]]["status"] = "broken" except: warnings.warn( f"Attempt to mark {provider} as broken failed. " "The provider does not exist in leaflet-providers JSON.", UserWarning, ) # update year def update_year(provider_or_tile): if "attribution" in provider_or_tile: provider_or_tile["attribution"] = provider_or_tile["attribution"].replace( "{year}", str(date.today().year) ) provider_or_tile["html_attribution"] = provider_or_tile[ "html_attribution" ].replace("{year}", str(date.today().year)) else: for tile in provider_or_tile.values(): update_year(tile) update_year(xyz) # combine both for key, _val in xyz.items(): if key in leaflet: if any( isinstance(i, dict) for i in leaflet[key].values() ): # for related group of bunch leaflet[key].update(xyz[key]) else: leaflet[key] = xyz[key] else: leaflet[key] = xyz[key] # Add IGN WMTS services (Tile images) ign_wmts_url = ( "https://data.geopf.fr/wmts?SERVICE=WMTS&VERSION=1.0.0&REQUEST=GetCapabilities" ) response = requests.get(ign_wmts_url) response_dict = xmltodict.parse(response.content) layers_list = response_dict["Capabilities"]["Contents"]["Layer"] # 556 layers wmts_layers_list = [] for i in range(len(layers_list)): layer = response_dict["Capabilities"]["Contents"]["Layer"][i] variant = layer.get("ows:Identifier") # Rename for better readability name = "" if "." not in variant: name = variant.lower().capitalize() else: name = variant.split(".")[0].lower().capitalize() for i in range(1, len(variant.split("."))): name = name + "_" + (variant.split(".")[i]).lower().capitalize() name = name.replace("-", "_") # Rename for better readability (Frequent cases) variant_to_name = { "CADASTRALPARCELS.PARCELLAIRE_EXPRESS": "parcels", "GEOGRAPHICALGRIDSYSTEMS.PLANIGNV2": "plan", "ORTHOIMAGERY.ORTHOPHOTOS": "orthos" } if variant in variant_to_name: name = variant_to_name[variant] # Get layer style style = layer.get("Style") if isinstance(style, dict): style = style.get("ows:Identifier") elif isinstance(style, list): style = style[1].get("ows:Identifier") if len(style) > 1 else None else: style = "normal" # Resolution levels (pyramid) TileMatrixSet = layer["TileMatrixSetLink"]["TileMatrixSet"] # Zoom levels TileMatrixSetLimits = layer["TileMatrixSetLink"]["TileMatrixSetLimits"][ "TileMatrixLimits" ] min_zoom = int(TileMatrixSetLimits[0]["TileMatrix"]) max_zoom = int(TileMatrixSetLimits[-1]["TileMatrix"]) # Tile format output_format = layer.get("Format") # image/png... if output_format == "application/x-protobuf" or output_format == "image/x-bil;bits=32": continue # Layer extent bbox_lower_left = layer["ows:WGS84BoundingBox"][ "ows:LowerCorner" ] # given with lon/lat order bbox_upper_right = layer["ows:WGS84BoundingBox"][ "ows:UpperCorner" ] # given with lon/lat order lower_left_corner_lon, lower_left_corner_lat = bbox_lower_left.split( " " ) upper_right_corner_lon, upper_right_corner_lat = bbox_upper_right.split( " " ) bounds = [ [float(lower_left_corner_lat), float(lower_left_corner_lon)], [float(upper_right_corner_lat), float(upper_right_corner_lon)], ] wmts_layers_list.append("GeoportailFrance." + name) leaflet["GeoportailFrance"][name] = { "url": """https://data.geopf.fr/wmts?SERVICE=WMTS&VERSION=1.0.0&REQUEST=GetTile&STYLE={style}&TILEMATRIXSET={TileMatrixSet}&FORMAT={format}&LAYER={variant}&TILEMATRIX={z}&TILEROW={y}&TILECOL={x}""", "html_attribution": """Geoportail France""", "attribution": "Geoportail France", "bounds": bounds, "min_zoom": min_zoom, "max_zoom": max_zoom, "format": output_format, "style": style, "variant": variant, "name": "GeoportailFrance." + name, "TileMatrixSet": TileMatrixSet, "apikey": "your_api_key_here", } # Handle broken providers possibly_broken_providers = [ "Ocsge_Constructions_2002", "Ocsge_Constructions_2014", "Orthoimagery_Orthophotos_Coast2000", "Ocsge_Couverture_2002", "Ocsge_Couverture_2014", "Ocsge_Usage_2002", "Ocsge_Usage_2014", "Pcrs_Lamb93", "Geographicalgridsystems_Planignv2_L93", "Cadastralparcels_Parcellaire_express_L93", "Hr_Orthoimagery_Orthophotos_L93", "Raster_zh_centrevdl", "Raster_zh_centrevdl_et_auvergnera", "Raster_zone_humide_ara_cvdl", "Raster_zone_humide_auvergnera", ] if name in possibly_broken_providers: leaflet["GeoportailFrance"][name]["status"] = "broken" with open("../xyzservices/data/providers.json", "w") as f: json.dump(leaflet, f, indent=4) geopandas-xyzservices-88d8a18/provider_sources/_parse_leaflet_providers.py000066400000000000000000000120071516250557700274440ustar00rootroot00000000000000""" IMPORTANT: core copied from: https://github.com/geopandas/contextily/blob/e0bb25741f9448c5b6b0e54d403b0d03d9244abd/scripts/parse_leaflet_providers.py ... Script to parse the tile providers defined by the leaflet-providers.js extension to Leaflet (https://github.com/leaflet-extras/leaflet-providers). It accesses the defined TileLayer.Providers objects through javascript using Selenium as JSON, and then processes this a fully specified javascript-independent dictionary and saves that final result as a JSON file. """ import datetime import json import os import tempfile import git import html2text import selenium.webdriver GIT_URL = "https://github.com/leaflet-extras/leaflet-providers.git" # ----------------------------------------------------------------------------- # Downloading and processing the json data def get_json_data(): with tempfile.TemporaryDirectory() as tmpdirname: repo = git.Repo.clone_from(GIT_URL, tmpdirname) commit_hexsha = repo.head.object.hexsha commit_message = repo.head.object.message index_path = "file://" + os.path.join(tmpdirname, "index.html") opts = selenium.webdriver.FirefoxOptions() opts.add_argument("--headless") driver = selenium.webdriver.Firefox(options=opts) driver.get(index_path) data = driver.execute_script( "return JSON.stringify(L.TileLayer.Provider.providers)" ) driver.close() data = json.loads(data) description = f"commit {commit_hexsha} ({commit_message.strip()})" return data, description def process_data(data): # extract attributions from raw data that later need to be substituted global ATTRIBUTIONS ATTRIBUTIONS = { "{attribution.OpenStreetMap}": data["OpenStreetMap"]["options"]["attribution"], "{attribution.Esri}": data["Esri"]["options"]["attribution"], } result = {} for provider in data: result[provider] = process_provider(data, provider) return result def process_provider(data, name="OpenStreetMap"): provider = data[name].copy() variants = provider.pop("variants", None) options = provider.pop("options") provider_keys = {**provider, **options} if variants is None: provider_keys["name"] = name provider_keys = pythonize_data(provider_keys) return provider_keys result = {} for variant in variants: var = variants[variant] if isinstance(var, str): variant_keys = {"variant": var} else: variant_keys = var.copy() variant_options = variant_keys.pop("options", {}) variant_keys = {**variant_keys, **variant_options} variant_keys = {**provider_keys, **variant_keys} variant_keys["name"] = f"{name}.{variant}" variant_keys = pythonize_data(variant_keys) result[variant] = variant_keys return result def pythonize_data(data): """ Clean-up the javascript based dictionary: - rename mixedCase keys - substitute the attribution placeholders - convert html attribution to plain text """ rename_keys = {"maxZoom": "max_zoom", "minZoom": "min_zoom"} attributions = ATTRIBUTIONS items = data.items() new_data = [] for key, value in items: if key == "attribution": if "{attribution." in value: for placeholder, attr in attributions.items(): if placeholder in value: value = value.replace(placeholder, attr) if "{attribution." not in value: # replaced last attribution break else: raise ValueError(f"Attribution not known: {value}") new_data.append(("html_attribution", value)) # convert html text to plain text converter = html2text.HTML2Text(bodywidth=1000) converter.ignore_links = True value = converter.handle(value).strip() elif key in rename_keys: key = rename_keys[key] elif key == "url" and any(k in value for k in rename_keys): # NASAGIBS providers have {maxZoom} in the url for old, new in rename_keys.items(): value = value.replace("{" + old + "}", "{" + new + "}") new_data.append((key, value)) return dict(new_data) if __name__ == "__main__": data, description = get_json_data() with open("./leaflet-providers-raw.json", "w") as f: json.dump(data, f) result = process_data(data) with open("./leaflet-providers-parsed.json", "w") as f: result["_meta"] = { "description": ( "JSON representation of the leaflet providers defined by the " "leaflet-providers.js extension to Leaflet " "(https://github.com/leaflet-extras/leaflet-providers)" ), "date_of_creation": datetime.datetime.today().strftime("%Y-%m-%d"), "commit": description, } json.dump(result, f, indent=4) geopandas-xyzservices-88d8a18/provider_sources/leaflet-providers-parsed.json000066400000000000000000004017661516250557700276440ustar00rootroot00000000000000{ "OpenStreetMap": { "Mapnik": { "url": "https://tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors", "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, "DE": { "url": "https://tile.openstreetmap.de/{z}/{x}/{y}.png", "max_zoom": 18, "html_attribution": "© OpenStreetMap contributors", "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.DE" }, "CH": { "url": "https://tile.osm.ch/switzerland/{z}/{x}/{y}.png", "max_zoom": 18, "html_attribution": "© OpenStreetMap contributors", "attribution": "(C) OpenStreetMap contributors", "bounds": [ [ 45, 5 ], [ 48, 11 ] ], "name": "OpenStreetMap.CH" }, "France": { "url": "https://{s}.tile.openstreetmap.fr/osmfr/{z}/{x}/{y}.png", "max_zoom": 20, "html_attribution": "© OpenStreetMap France | © OpenStreetMap contributors", "attribution": "(C) OpenStreetMap France | (C) OpenStreetMap contributors", "name": "OpenStreetMap.France" }, "HOT": { "url": "https://{s}.tile.openstreetmap.fr/hot/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors, Tiles style by Humanitarian OpenStreetMap Team hosted by OpenStreetMap France", "attribution": "(C) OpenStreetMap contributors, Tiles style by Humanitarian OpenStreetMap Team hosted by OpenStreetMap France", "name": "OpenStreetMap.HOT" }, "BZH": { "url": "https://tile.openstreetmap.bzh/br/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "attribution": "(C) OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "bounds": [ [ 46.2, -5.5 ], [ 50, 0.7 ] ], "name": "OpenStreetMap.BZH" }, "CAT": { "url": "https://tile.openstreetmap.bzh/ca/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "attribution": "(C) OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "name": "OpenStreetMap.CAT" } }, "MapTilesAPI": { "OSMEnglish": { "url": "https://maptiles.p.rapidapi.com/{variant}/{z}/{x}/{y}.png?rapidapi-key={apikey}", "html_attribution": "© MapTiles API, © OpenStreetMap contributors", "attribution": "(C) MapTiles API, (C) OpenStreetMap contributors", "variant": "en/map/v1", "apikey": "", "max_zoom": 19, "name": "MapTilesAPI.OSMEnglish" }, "OSMFrancais": { "url": "https://maptiles.p.rapidapi.com/{variant}/{z}/{x}/{y}.png?rapidapi-key={apikey}", "html_attribution": "© MapTiles API, © OpenStreetMap contributors", "attribution": "(C) MapTiles API, (C) OpenStreetMap contributors", "variant": "fr/map/v1", "apikey": "", "max_zoom": 19, "name": "MapTilesAPI.OSMFrancais" }, "OSMEspagnol": { "url": "https://maptiles.p.rapidapi.com/{variant}/{z}/{x}/{y}.png?rapidapi-key={apikey}", "html_attribution": "© MapTiles API, © OpenStreetMap contributors", "attribution": "(C) MapTiles API, (C) OpenStreetMap contributors", "variant": "es/map/v1", "apikey": "", "max_zoom": 19, "name": "MapTilesAPI.OSMEspagnol" } }, "OpenSeaMap": { "url": "https://tiles.openseamap.org/seamark/{z}/{x}/{y}.png", "html_attribution": "Map data: © OpenSeaMap contributors", "attribution": "Map data: (C) OpenSeaMap contributors", "name": "OpenSeaMap" }, "OPNVKarte": { "url": "https://tileserver.memomaps.de/tilegen/{z}/{x}/{y}.png", "max_zoom": 18, "html_attribution": "Map memomaps.de CC-BY-SA, map data © OpenStreetMap contributors", "attribution": "Map memomaps.de CC-BY-SA, map data (C) OpenStreetMap contributors", "name": "OPNVKarte" }, "OpenTopoMap": { "url": "https://{s}.tile.opentopomap.org/{z}/{x}/{y}.png", "max_zoom": 17, "html_attribution": "Map data: © OpenStreetMap contributors, SRTM | Map style: © OpenTopoMap (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors, SRTM | Map style: (C) OpenTopoMap (CC-BY-SA)", "name": "OpenTopoMap" }, "OpenRailwayMap": { "url": "https://{s}.tiles.openrailwaymap.org/standard/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "Map data: © OpenStreetMap contributors | Map style: © OpenRailwayMap (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors | Map style: (C) OpenRailwayMap (CC-BY-SA)", "name": "OpenRailwayMap" }, "OpenFireMap": { "url": "http://openfiremap.org/hytiles/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "Map data: © OpenStreetMap contributors | Map style: © OpenFireMap (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors | Map style: (C) OpenFireMap (CC-BY-SA)", "name": "OpenFireMap" }, "SafeCast": { "url": "https://s3.amazonaws.com/te512.safecast.org/{z}/{x}/{y}.png", "max_zoom": 16, "html_attribution": "Map data: © OpenStreetMap contributors | Map style: © SafeCast (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors | Map style: (C) SafeCast (CC-BY-SA)", "name": "SafeCast" }, "Stadia": { "AlidadeSmooth": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "alidade_smooth", "ext": "png", "name": "Stadia.AlidadeSmooth" }, "AlidadeSmoothDark": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "alidade_smooth_dark", "ext": "png", "name": "Stadia.AlidadeSmoothDark" }, "AlidadeSatellite": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© CNES, Distribution Airbus DS, \u00a9 Airbus DS, \u00a9 PlanetObserver (Contains Copernicus Data) | © Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) CNES, Distribution Airbus DS, \u00a9 Airbus DS, \u00a9 PlanetObserver (Contains Copernicus Data) | (C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "alidade_satellite", "ext": "jpg", "name": "Stadia.AlidadeSatellite" }, "OSMBright": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "osm_bright", "ext": "png", "name": "Stadia.OSMBright" }, "Outdoors": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "outdoors", "ext": "png", "name": "Stadia.Outdoors" }, "StamenToner": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner", "ext": "png", "name": "Stadia.StamenToner" }, "StamenTonerBackground": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_background", "ext": "png", "name": "Stadia.StamenTonerBackground" }, "StamenTonerLines": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_lines", "ext": "png", "name": "Stadia.StamenTonerLines" }, "StamenTonerLabels": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_labels", "ext": "png", "name": "Stadia.StamenTonerLabels" }, "StamenTonerLite": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_lite", "ext": "png", "name": "Stadia.StamenTonerLite" }, "StamenTonerDark": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_dark", "ext": "png", "name": "Stadia.StamenTonerDark" }, "StamenTonerBlacklite": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_blacklite", "ext": "png", "name": "Stadia.StamenTonerBlacklite" }, "StamenWatercolor": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}.{ext}", "min_zoom": 1, "max_zoom": 16, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_watercolor", "ext": "jpg", "name": "Stadia.StamenWatercolor" }, "StamenTerrain": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain", "ext": "png", "name": "Stadia.StamenTerrain" }, "StamenTerrainBackground": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain_background", "ext": "png", "name": "Stadia.StamenTerrainBackground" }, "StamenTerrainLabels": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain_labels", "ext": "png", "name": "Stadia.StamenTerrainLabels" }, "StamenTerrainLines": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain_lines", "ext": "png", "name": "Stadia.StamenTerrainLines" } }, "Thunderforest": { "OpenCycleMap": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "cycle", "apikey": "", "max_zoom": 22, "name": "Thunderforest.OpenCycleMap" }, "Transport": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "transport", "apikey": "", "max_zoom": 22, "name": "Thunderforest.Transport" }, "TransportDark": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "transport-dark", "apikey": "", "max_zoom": 22, "name": "Thunderforest.TransportDark" }, "SpinalMap": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap 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{year}", "attribution": "Contains OS data (C) Crown copyright and database right {year}", "key": "", "crs": "EPSG:27700", "min_zoom": 0, "max_zoom": 9, "max_zoom_premium": 13, "bounds": [ [ 0, 0 ], [ 700000, 1300000 ] ], "name": "OrdnanceSurvey.Road_27700" }, "Outdoor": { "url": "https://api.os.uk/maps/raster/v1/zxy/Outdoor_3857/{z}/{x}/{y}.png?key={key}", "html_attribution": "Contains OS data © Crown copyright and database right {year}", "attribution": "Contains OS data (C) Crown copyright and database right {year}", "key": "", "min_zoom": 7, "max_zoom": 16, "max_zoom_premium": 20, "bounds": [ [ 49.766807, -9.496386 ], [ 61.465189, 3.634745 ] ], "name": "OrdnanceSurvey.Outdoor" }, "Outdoor_27700": { "url": "https://api.os.uk/maps/raster/v1/zxy/Outdoor_27700/{z}/{x}/{y}.png?key={key}", "html_attribution": "Contains OS data © Crown copyright and database right {year}", "attribution": "Contains OS data (C) Crown copyright and database right {year}", "key": "", "crs": "EPSG:27700", "min_zoom": 0, "max_zoom": 9, "max_zoom_premium": 13, "bounds": [ [ 0, 0 ], [ 700000, 1300000 ] ], "name": "OrdnanceSurvey.Outdoor_27700" }, "Light": { "url": "https://api.os.uk/maps/raster/v1/zxy/Light_3857/{z}/{x}/{y}.png?key={key}", "html_attribution": "Contains OS data © Crown copyright and database right {year}", "attribution": "Contains OS data (C) Crown copyright and database right {year}", "key": "", "min_zoom": 7, "max_zoom": 16, "max_zoom_premium": 20, "bounds": [ [ 49.766807, -9.496386 ], [ 61.465189, 3.634745 ] ], "name": "OrdnanceSurvey.Light" }, "Light_27700": { "url": "https://api.os.uk/maps/raster/v1/zxy/Light_27700/{z}/{x}/{y}.png?key={key}", "html_attribution": "Contains OS data © Crown copyright and database right {year}", "attribution": "Contains OS data (C) Crown copyright and database right {year}", "key": "", "crs": "EPSG:27700", "min_zoom": 0, "max_zoom": 9, "max_zoom_premium": 13, "bounds": [ [ 0, 0 ], [ 700000, 1300000 ] ], "name": "OrdnanceSurvey.Light_27700" }, "Leisure_27700": { "url": "https://api.os.uk/maps/raster/v1/zxy/Leisure_27700/{z}/{x}/{y}.png?key={key}", "html_attribution": "Contains OS data © Crown copyright and database right {year}", "attribution": "Contains OS data (C) Crown copyright and database right {year}", "key": "", "crs": "EPSG:27700", "min_zoom": 0, "max_zoom": 5, "max_zoom_premium": 9, "bounds": [ [ 0, 0 ], [ 700000, 1300000 ] ], "name": "OrdnanceSurvey.Leisure_27700" } }, "UN": { "ClearMap": { "url": "https://geoservices.un.org/arcgis/rest/services/ClearMap_WebTopo/MapServer/tile/{z}/{y}/{x}", "name": "UN.ClearMap", "html_attribution": "© United Nations contributors", "attribution": "United Nations" } } }geopandas-xyzservices-88d8a18/pyproject.toml000066400000000000000000000027001516250557700213460ustar00rootroot00000000000000[build-system] requires = ["setuptools>=77", "setuptools_scm[toml]>=6.2"] build-backend = "setuptools.build_meta" [project] name = "xyzservices" description = "Source of XYZ tiles providers" readme = "README.md" requires-python = ">=3.8" license = "BSD-3-Clause" authors = [ { name = "Dani Arribas-Bel", email = "daniel.arribas.bel@gmail.com" }, { name = "Martin Fleischmann", email = "martin@martinfleischmann.net" }, ] classifiers = [ "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3 :: Only", ] dynamic = ["version"] license-files = ["LICENSE"] [project.urls] Homepage = "https://github.com/geopandas/xyzservices" Repository = "https://github.com/geopandas/xyzservices" [tool.setuptools] include-package-data = true [tool.setuptools.packages.find] include = ["xyzservices*"] namespaces = false exclude = ["tests"] [tool.setuptools.package-data] xyzservices = ["data/providers.json"] [tool.setuptools.data-files] "share/xyzservices" = ["xyzservices/data/providers.json"] [tool.setuptools_scm] [tool.ruff] line-length = 88 lint.select = ["E", "F", "W", "I", "UP", "N", "B", "A", "C4", "SIM", "ARG"] exclude = ["provider_sources/_compress_providers.py", "doc"] target-version = "py38" lint.ignore = ["B006", "A003", "B904", "C420"] [tool.pytest.ini_options] markers = [ "request: fetching tiles from remote server.", ] [tool.coverage.run] omit = ["xyzservices/tests/*"] geopandas-xyzservices-88d8a18/readthedocs.yml000066400000000000000000000003141516250557700214410ustar00rootroot00000000000000version: 2 build: os: ubuntu-22.04 tools: python: "3.11" sphinx: configuration: doc/source/conf.py python: install: - requirements: doc/requirements.txt - method: pip path: . geopandas-xyzservices-88d8a18/xyzservices/000077500000000000000000000000001516250557700210315ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/xyzservices/__init__.py000066400000000000000000000004001516250557700231340ustar00rootroot00000000000000from .lib import Bunch, TileProvider # noqa from .providers import providers # noqa from importlib.metadata import version, PackageNotFoundError import contextlib with contextlib.suppress(PackageNotFoundError): __version__ = version("xyzservices") geopandas-xyzservices-88d8a18/xyzservices/data/000077500000000000000000000000001516250557700217425ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/xyzservices/data/__init__.py000066400000000000000000000000001516250557700240410ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/xyzservices/data/providers.json000066400000000000000000030200761516250557700246620ustar00rootroot00000000000000{ "OpenStreetMap": { "Mapnik": { "url": "https://tile.openstreetmap.org/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors", "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.Mapnik" }, "DE": { "url": "https://tile.openstreetmap.de/{z}/{x}/{y}.png", "max_zoom": 18, "html_attribution": "© OpenStreetMap contributors", "attribution": "(C) OpenStreetMap contributors", "name": "OpenStreetMap.DE" }, "CH": { "url": "https://tile.osm.ch/switzerland/{z}/{x}/{y}.png", "max_zoom": 18, "html_attribution": "© OpenStreetMap contributors", "attribution": "(C) OpenStreetMap contributors", "bounds": [ [ 45, 5 ], [ 48, 11 ] ], "name": "OpenStreetMap.CH" }, "France": { "url": "https://{s}.tile.openstreetmap.fr/osmfr/{z}/{x}/{y}.png", "max_zoom": 20, "html_attribution": "© OpenStreetMap France | © OpenStreetMap contributors", "attribution": "(C) OpenStreetMap France | (C) OpenStreetMap contributors", "name": "OpenStreetMap.France" }, "HOT": { "url": "https://{s}.tile.openstreetmap.fr/hot/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors, Tiles style by Humanitarian OpenStreetMap Team hosted by OpenStreetMap France", "attribution": "(C) OpenStreetMap contributors, Tiles style by Humanitarian OpenStreetMap Team hosted by OpenStreetMap France", "name": "OpenStreetMap.HOT" }, "BZH": { "url": "https://tile.openstreetmap.bzh/br/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "attribution": "(C) OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "bounds": [ [ 46.2, -5.5 ], [ 50, 0.7 ] ], "name": "OpenStreetMap.BZH" }, "CAT": { "url": "https://tile.openstreetmap.bzh/ca/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "© OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "attribution": "(C) OpenStreetMap contributors, Tiles courtesy of Breton OpenStreetMap Team", "name": "OpenStreetMap.CAT" } }, "MapTilesAPI": { "OSMEnglish": { "url": "https://maptiles.p.rapidapi.com/{variant}/{z}/{x}/{y}.png?rapidapi-key={apikey}", "html_attribution": "© MapTiles API, © OpenStreetMap contributors", "attribution": "(C) MapTiles API, (C) OpenStreetMap contributors", "variant": "en/map/v1", "apikey": "", "max_zoom": 19, "name": "MapTilesAPI.OSMEnglish" }, "OSMFrancais": { "url": "https://maptiles.p.rapidapi.com/{variant}/{z}/{x}/{y}.png?rapidapi-key={apikey}", "html_attribution": "© MapTiles API, © OpenStreetMap contributors", "attribution": "(C) MapTiles API, (C) OpenStreetMap contributors", "variant": "fr/map/v1", "apikey": "", "max_zoom": 19, "name": "MapTilesAPI.OSMFrancais" }, "OSMEspagnol": { "url": "https://maptiles.p.rapidapi.com/{variant}/{z}/{x}/{y}.png?rapidapi-key={apikey}", "html_attribution": "© MapTiles API, © OpenStreetMap contributors", "attribution": "(C) MapTiles API, (C) OpenStreetMap contributors", "variant": "es/map/v1", "apikey": "", "max_zoom": 19, "name": "MapTilesAPI.OSMEspagnol" } }, "OpenSeaMap": { "url": "https://tiles.openseamap.org/seamark/{z}/{x}/{y}.png", "html_attribution": "Map data: © OpenSeaMap contributors", "attribution": "Map data: (C) OpenSeaMap contributors", "name": "OpenSeaMap" }, "OPNVKarte": { "url": "https://tileserver.memomaps.de/tilegen/{z}/{x}/{y}.png", "max_zoom": 18, "html_attribution": "Map memomaps.de CC-BY-SA, map data © OpenStreetMap contributors", "attribution": "Map memomaps.de CC-BY-SA, map data (C) OpenStreetMap contributors", "name": "OPNVKarte" }, "OpenTopoMap": { "url": "https://{s}.tile.opentopomap.org/{z}/{x}/{y}.png", "max_zoom": 17, "html_attribution": "Map data: © OpenStreetMap contributors, SRTM | Map style: © OpenTopoMap (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors, SRTM | Map style: (C) OpenTopoMap (CC-BY-SA)", "name": "OpenTopoMap" }, "OpenRailwayMap": { "url": "https://{s}.tiles.openrailwaymap.org/standard/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "Map data: © OpenStreetMap contributors | Map style: © OpenRailwayMap (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors | Map style: (C) OpenRailwayMap (CC-BY-SA)", "name": "OpenRailwayMap" }, "OpenFireMap": { "url": "http://openfiremap.org/hytiles/{z}/{x}/{y}.png", "max_zoom": 19, "html_attribution": "Map data: © OpenStreetMap contributors | Map style: © OpenFireMap (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors | Map style: (C) OpenFireMap (CC-BY-SA)", "name": "OpenFireMap" }, "SafeCast": { "url": "https://s3.amazonaws.com/te512.safecast.org/{z}/{x}/{y}.png", "max_zoom": 16, "html_attribution": "Map data: © OpenStreetMap contributors | Map style: © SafeCast (CC-BY-SA)", "attribution": "Map data: (C) OpenStreetMap contributors | Map style: (C) SafeCast (CC-BY-SA)", "name": "SafeCast" }, "Stadia": { "AlidadeSmooth": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "alidade_smooth", "ext": "png", "name": "Stadia.AlidadeSmooth" }, "AlidadeSmoothDark": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "alidade_smooth_dark", "ext": "png", "name": "Stadia.AlidadeSmoothDark" }, "AlidadeSatellite": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© CNES, Distribution Airbus DS, \u00a9 Airbus DS, \u00a9 PlanetObserver (Contains Copernicus Data) | © Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) CNES, Distribution Airbus DS, \u00a9 Airbus DS, \u00a9 PlanetObserver (Contains Copernicus Data) | (C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "alidade_satellite", "ext": "jpg", "name": "Stadia.AlidadeSatellite", "status": "broken" }, "OSMBright": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "osm_bright", "ext": "png", "name": "Stadia.OSMBright" }, "Outdoors": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "outdoors", "ext": "png", "name": "Stadia.Outdoors" }, "StamenToner": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner", "ext": "png", "name": "Stadia.StamenToner" }, "StamenTonerBackground": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_background", "ext": "png", "name": "Stadia.StamenTonerBackground" }, "StamenTonerLines": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_lines", "ext": "png", "name": "Stadia.StamenTonerLines" }, "StamenTonerLabels": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_labels", "ext": "png", "name": "Stadia.StamenTonerLabels" }, "StamenTonerLite": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_lite", "ext": "png", "name": "Stadia.StamenTonerLite" }, "StamenTonerDark": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_dark", "ext": "png", "name": "Stadia.StamenTonerDark" }, "StamenTonerBlacklite": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 20, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_toner_blacklite", "ext": "png", "name": "Stadia.StamenTonerBlacklite" }, "StamenWatercolor": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}.{ext}", "min_zoom": 1, "max_zoom": 16, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_watercolor", "ext": "jpg", "name": "Stadia.StamenWatercolor" }, "StamenTerrain": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain", "ext": "png", "name": "Stadia.StamenTerrain" }, "StamenTerrainBackground": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain_background", "ext": "png", "name": "Stadia.StamenTerrainBackground" }, "StamenTerrainLabels": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain_labels", "ext": "png", "name": "Stadia.StamenTerrainLabels" }, "StamenTerrainLines": { "url": "https://tiles.stadiamaps.com/tiles/{variant}/{z}/{x}/{y}{r}.{ext}", "min_zoom": 0, "max_zoom": 18, "html_attribution": "© Stadia Maps © Stamen Design © OpenMapTiles © OpenStreetMap contributors", "attribution": "(C) Stadia Maps (C) Stamen Design (C) OpenMapTiles (C) OpenStreetMap contributors", "variant": "stamen_terrain_lines", "ext": "png", "name": "Stadia.StamenTerrainLines" } }, "Thunderforest": { "OpenCycleMap": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "cycle", "apikey": "", "max_zoom": 22, "name": "Thunderforest.OpenCycleMap" }, "Transport": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "transport", "apikey": "", "max_zoom": 22, "name": "Thunderforest.Transport" }, "TransportDark": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "transport-dark", "apikey": "", "max_zoom": 22, "name": "Thunderforest.TransportDark" }, "SpinalMap": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", "html_attribution": "© Thunderforest, © OpenStreetMap contributors", "attribution": "(C) Thunderforest, (C) OpenStreetMap contributors", "variant": "spinal-map", "apikey": "", "max_zoom": 22, "name": "Thunderforest.SpinalMap" }, "Landscape": { "url": "https://api.thunderforest.com/{variant}/{z}/{x}/{y}{r}.png?apikey={apikey}", 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}geopandas-xyzservices-88d8a18/xyzservices/lib.py000066400000000000000000000517451516250557700221650ustar00rootroot00000000000000""" Utilities to support XYZservices """ from __future__ import annotations import json import urllib.request import uuid from typing import Callable from urllib.parse import quote QUERY_NAME_TRANSLATION = str.maketrans({x: "" for x in "., -_/"}) class Bunch(dict): """A dict with attribute-access :class:`Bunch` is used to store :class:`TileProvider` objects. Examples -------- >>> black_and_white = TileProvider( ... name="My black and white tiles", ... url="https://myserver.com/bw/{z}/{x}/{y}", ... attribution="(C) xyzservices", ... ) >>> colorful = TileProvider( ... name="My colorful tiles", ... url="https://myserver.com/color/{z}/{x}/{y}", ... attribution="(C) xyzservices", ... ) >>> MyTiles = Bunch(BlackAndWhite=black_and_white, Colorful=colorful) >>> MyTiles {'BlackAndWhite': {'name': 'My black and white tiles', 'url': \ 'https://myserver.com/bw/{z}/{x}/{y}', 'attribution': '(C) xyzservices'}, 'Colorful': \ {'name': 'My colorful tiles', 'url': 'https://myserver.com/color/{z}/{x}/{y}', \ 'attribution': '(C) xyzservices'}} >>> MyTiles.BlackAndWhite.url 'https://myserver.com/bw/{z}/{x}/{y}' """ def __getattr__(self, key): try: return self.__getitem__(key) except KeyError as err: raise AttributeError(key) from err def __dir__(self): return self.keys() def _repr_html_(self, inside=False): children = "" for key in self: if isinstance(self[key], TileProvider): obj = "xyzservices.TileProvider" else: obj = "xyzservices.Bunch" uid = str(uuid.uuid4()) children += f"""

  • {self[key]._repr_html_(inside=True)}
    • """ style = "" if inside else f"" html = f"""
    {style}
    xyzservices.Bunch
    {len(self)} items
      {children}
    """ return html def flatten(self) -> dict: """Return the nested :class:`Bunch` collapsed into the one level dictionary. Dictionary keys are :class:`TileProvider` names (e.g. ``OpenStreetMap.Mapnik``) and its values are :class:`TileProvider` objects. Returns ------- flattened : dict dictionary of :class:`TileProvider` objects Examples -------- >>> import xyzservices.providers as xyz >>> len(xyz) 36 >>> flat = xyz.flatten() >>> len(xyz) 207 """ flat = {} def _get_providers(provider): if isinstance(provider, TileProvider): flat[provider.name] = provider else: for prov in provider.values(): _get_providers(prov) _get_providers(self) return flat def filter( self, keyword: str | None = None, name: str | None = None, requires_token: bool | None = None, function: Callable[[TileProvider], bool] = None, ) -> Bunch: """Return a subset of the :class:`Bunch` matching the filter conditions Each :class:`TileProvider` within a :class:`Bunch` is checked against one or more specified conditions and kept if they are satisfied or removed if at least one condition is not met. Parameters ---------- keyword : str (optional) Condition returns ``True`` if ``keyword`` string is present in any string value in a :class:`TileProvider` object. The comparison is not case sensitive. name : str (optional) Condition returns ``True`` if ``name`` string is present in the name attribute of :class:`TileProvider` object. The comparison is not case sensitive. requires_token : bool (optional) Condition returns ``True`` if :meth:`TileProvider.requires_token` returns ``True`` (i.e. if the object requires specification of API token). function : callable (optional) Custom function taking :class:`TileProvider` as an argument and returns bool. If ``function`` is given, other parameters are ignored. Returns ------- filtered : Bunch Examples -------- >>> import xyzservices.providers as xyz You can filter all free providers (not requiring API token): >>> free_providers = xyz.filter(requires_token=False) Or all providers with ``open`` in the name: >>> open_providers = xyz.filter(name="open") You can use keyword search to find all providers based on OpenStreetMap data: >>> osm_providers = xyz.filter(keyword="openstreetmap") You can combine multiple conditions to find providers based on OpenStreetMap data that require API token: >>> osm_locked = xyz.filter(keyword="openstreetmap", requires_token=True) You can also pass custom function that takes :class:`TileProvider` and returns boolean value. You can then find all providers with ``max_zoom`` smaller than 18: >>> def zoom18(provider): ... if hasattr(provider, "max_zoom") and provider.max_zoom < 18: ... return True ... return False >>> small_zoom = xyz.filter(function=zoom18) """ def _validate(provider, keyword, name, requires_token): cond = [] if keyword is not None: keyword_match = False for v in provider.values(): if isinstance(v, str) and keyword.lower() in v.lower(): keyword_match = True break cond.append(keyword_match) if name is not None: name_match = False if name.lower() in provider.name.lower(): name_match = True cond.append(name_match) if requires_token is not None: token_match = False if provider.requires_token() is requires_token: token_match = True cond.append(token_match) return all(cond) def _filter_bunch(bunch, keyword, name, requires_token, function): new = Bunch() for key, value in bunch.items(): if isinstance(value, TileProvider): if function is None: if _validate( value, keyword=keyword, name=name, requires_token=requires_token, ): new[key] = value else: if function(value): new[key] = value else: filtered = _filter_bunch( value, keyword=keyword, name=name, requires_token=requires_token, function=function, ) if filtered: new[key] = filtered return new return _filter_bunch( self, keyword=keyword, name=name, requires_token=requires_token, function=function, ) def query_name(self, name: str) -> TileProvider: """Return :class:`TileProvider` based on the name query Returns a matching :class:`TileProvider` from the :class:`Bunch` if the ``name`` contains the same letters in the same order as the provider's name irrespective of the letter case, spaces, dashes and other characters. See examples for details. Parameters ---------- name : str Name of the tile provider. Formatting does not matter. Returns ------- match: TileProvider Examples -------- >>> import xyzservices.providers as xyz All these queries return the same ``CartoDB.Positron`` TileProvider: >>> xyz.query_name("CartoDB Positron") >>> xyz.query_name("cartodbpositron") >>> xyz.query_name("cartodb-positron") >>> xyz.query_name("carto db/positron") >>> xyz.query_name("CARTO_DB_POSITRON") >>> xyz.query_name("CartoDB.Positron") """ xyz_flat_lower = { k.translate(QUERY_NAME_TRANSLATION).lower(): v for k, v in self.flatten().items() } name_clean = name.translate(QUERY_NAME_TRANSLATION).lower() if name_clean in xyz_flat_lower: return xyz_flat_lower[name_clean] raise ValueError(f"No matching provider found for the query '{name}'.") class TileProvider(Bunch): """ A dict with attribute-access and that can be called to update keys Examples -------- You can create custom :class:`TileProvider` by passing your attributes to the object as it would have been a ``dict()``. It is required to always specify ``name``, ``url``, and ``attribution``. >>> public_provider = TileProvider( ... name="My public tiles", ... url="https://myserver.com/tiles/{z}/{x}/{y}.png", ... attribution="(C) xyzservices", ... ) Alternatively, you can create it from a dictionary of attributes. When specifying a placeholder for the access token, please use the ``""`` string to ensure that :meth:`~xyzservices.TileProvider.requires_token` method works properly. >>> private_provider = TileProvider( ... { ... "url": "https://myserver.com/tiles/{z}/{x}/{y}.png?apikey={accessToken}", ... "attribution": "(C) xyzservices", ... "accessToken": "", ... "name": "my_private_provider", ... } ... ) It is customary to include ``html_attribution`` attribute containing HTML string as ``'© OpenStreetMap contributors'`` alongisde a plain-text ``attribution``. You can then fetch all information as attributes: >>> public_provider.url 'https://myserver.com/tiles/{z}/{x}/{y}.png' >>> public_provider.attribution '(C) xyzservices' To ensure you will be able to use the tiles, you can check if the :class:`TileProvider` requires a token or API key. >>> public_provider.requires_token() False >>> private_provider.requires_token() True You can also generate URL in the required format with or without placeholders: >>> public_provider.build_url() 'https://myserver.com/tiles/{z}/{x}/{y}.png' >>> private_provider.build_url(x=12, y=21, z=11, accessToken="my_token") 'https://myserver.com/tiles/11/12/21.png?access_token=my_token' """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) missing = [] for el in ["name", "url", "attribution"]: if el not in self.keys(): missing.append(el) if len(missing) > 0: msg = ( f"The attributes `name`, `url`, " f"and `attribution` are required to initialise " f"a `TileProvider`. Please provide values for: " f"`{'`, `'.join(missing)}`" ) raise AttributeError(msg) def __call__(self, **kwargs) -> TileProvider: new = TileProvider(self) # takes a copy preserving the class new.update(kwargs) return new def copy(self) -> TileProvider: new = TileProvider(self) # takes a copy preserving the class return new def build_url( self, x: int | str | None = None, y: int | str | None = None, z: int | str | None = None, scale_factor: str | None = None, fill_subdomain: bool | None = True, **kwargs, ) -> str: """ Build the URL of tiles from the :class:`TileProvider` object Can return URL with placeholders or the final tile URL. Parameters ---------- x, y, z : int (optional) tile number scale_factor : str (optional) Scale factor (where supported). For example, you can get double resolution (512 x 512) instead of standard one (256 x 256) with ``"@2x"``. If you want to keep a placeholder, pass `"{r}"`. fill_subdomain : bool (optional, default True) Fill subdomain placeholder with the first available subdomain. If False, the URL will contain ``{s}`` placeholder for subdomain. **kwargs Other potential attributes updating the :class:`TileProvider`. Returns ------- url : str Formatted URL Examples -------- >>> import xyzservices.providers as xyz >>> xyz.CartoDB.DarkMatter.build_url() 'https://a.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png' >>> xyz.CartoDB.DarkMatter.build_url(x=9, y=11, z=5) 'https://a.basemaps.cartocdn.com/dark_all/5/9/11.png' >>> xyz.CartoDB.DarkMatter.build_url(x=9, y=11, z=5, scale_factor="@2x") 'https://a.basemaps.cartocdn.com/dark_all/5/9/11@2x.png' >>> xyz.MapBox.build_url(accessToken="my_token") 'https://api.mapbox.com/styles/v1/mapbox/streets-v11/tiles/{z}/{x}/{y}?access_token=my_token' """ provider = self.copy() if x is None: x = "{x}" if y is None: y = "{y}" if z is None: z = "{z}" provider.update(kwargs) if provider.requires_token(): raise ValueError( "Token is required for this provider, but not provided. " "You can either update TileProvider or pass respective keywords " "to build_url()." ) url = provider.pop("url") if scale_factor: r = scale_factor provider.pop("r", None) else: r = provider.pop("r", "") if fill_subdomain: subdomains = provider.pop("subdomains", "abc") s = subdomains[0] else: s = "{s}" return url.format(x=x, y=y, z=z, s=s, r=r, **provider) def requires_token(self) -> bool: """ Returns ``True`` if the TileProvider requires access token to fetch tiles. The token attribute name vary and some :class:`TileProvider` objects may require more than one token (e.g. ``HERE``). The information is deduced from the presence of `'"`` string to ensure that :meth:`~xyzservices.TileProvider.requires_token` method works properly. Returns ------- bool Examples -------- >>> import xyzservices.providers as xyz >>> xyz.MapBox.requires_token() True >>> xyz.CartoDB.Positron False We can specify this API key by calling the object or overriding the attribute. Overriding the attribute will alter existing object: >>> xyz.OpenWeatherMap.Clouds["apiKey"] = "my-private-api-key" Calling the object will return a copy: >>> xyz.OpenWeatherMap.Clouds(apiKey="my-private-api-key") """ # both attribute and placeholder in url are required to make it work for key, val in self.items(): if isinstance(val, str) and "{key}
    {val}
    " style = "" if inside else f"" html = f"""
    {style}
    xyzservices.TileProvider
    {self.name}
    {provider_info}
    """ return html @classmethod def from_qms(cls, name: str) -> TileProvider: """ Creates a :class:`TileProvider` object based on the definition from the `Quick Map Services `__ open catalog. Parameters ---------- name : str Service name Returns ------- :class:`TileProvider` Examples -------- >>> from xyzservices.lib import TileProvider >>> provider = TileProvider.from_qms("OpenTopoMap") """ qms_api_url = "https://qms.nextgis.com/api/v1/geoservices" services = json.load( urllib.request.urlopen(f"{qms_api_url}/?search={quote(name)}&type=tms") ) for service in services: if service["name"] == name: break else: raise ValueError(f"Service '{name}' not found.") service_id = service["id"] service_details = json.load( urllib.request.urlopen(f"{qms_api_url}/{service_id}/") ) return cls( name=service_details["name"], url=service_details["url"], min_zoom=service_details.get("z_min"), max_zoom=service_details.get("z_max"), attribution=service_details.get("copyright_text"), ) def _load_json(f): data = json.loads(f) providers = Bunch() for provider_name in data: provider = data[provider_name] if "url" in provider: providers[provider_name] = TileProvider(provider) else: providers[provider_name] = Bunch( {i: TileProvider(provider[i]) for i in provider} ) return providers CSS_STYLE = """ /* CSS stylesheet for displaying xyzservices objects in Jupyter.*/ .xyz-wrap { --xyz-border-color: var(--jp-border-color2, #ddd); --xyz-font-color2: var(--jp-content-font-color2, rgba(128, 128, 128, 1)); --xyz-background-color-white: var(--jp-layout-color1, white); --xyz-background-color: var(--jp-layout-color2, rgba(128, 128, 128, 0.1)); } html[theme=dark] .xyz-wrap, body.vscode-dark .xyz-wrap, body.vscode-high-contrast .xyz-wrap { --xyz-border-color: #222; --xyz-font-color2: rgba(255, 255, 255, 0.54); --xyz-background-color-white: rgba(255, 255, 255, 1); --xyz-background-color: rgba(255, 255, 255, 0.05); } .xyz-header { padding-top: 6px; padding-bottom: 6px; margin-bottom: 4px; border-bottom: solid 1px var(--xyz-border-color); } .xyz-header>div { display: inline; margin-top: 0; margin-bottom: 0; } .xyz-obj, .xyz-name { margin-left: 2px; margin-right: 10px; } .xyz-obj { color: var(--xyz-font-color2); } .xyz-attrs { grid-column: 1 / -1; } dl.xyz-attrs { padding: 0 5px 0 5px; margin: 0; display: grid; grid-template-columns: 135px auto; background-color: var(--xyz-background-color); } .xyz-attrs dt, dd { padding: 0; margin: 0; float: left; padding-right: 10px; width: auto; } .xyz-attrs dt { font-weight: normal; grid-column: 1; } .xyz-attrs dd { grid-column: 2; white-space: pre-wrap; word-break: break-all; } .xyz-details ul>li>label>span { color: var(--xyz-font-color2); padding-left: 10px; } .xyz-inside { display: none; } .xyz-checkbox:checked~.xyz-inside { display: contents; } .xyz-collapsible li>input { display: none; } .xyz-collapsible>li>label { cursor: pointer; } .xyz-collapsible>li>label:hover { color: var(--xyz-font-color2); } ul.xyz-collapsible { list-style: none!important; padding-left: 20px!important; } .xyz-checkbox+label:before { content: '►'; font-size: 11px; } .xyz-checkbox:checked+label:before { content: '▼'; } .xyz-wrap { margin-bottom: 10px; } """ geopandas-xyzservices-88d8a18/xyzservices/providers.py000066400000000000000000000005151516250557700234210ustar00rootroot00000000000000import os import pkgutil import sys from .lib import _load_json data_path = os.path.join(sys.prefix, "share", "xyzservices", "providers.json") if os.path.exists(data_path): with open(data_path) as f: json = f.read() else: json = pkgutil.get_data("xyzservices", "data/providers.json") providers = _load_json(json) geopandas-xyzservices-88d8a18/xyzservices/tests/000077500000000000000000000000001516250557700221735ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/xyzservices/tests/__init__.py000066400000000000000000000000001516250557700242720ustar00rootroot00000000000000geopandas-xyzservices-88d8a18/xyzservices/tests/test_lib.py000066400000000000000000000216171516250557700243610ustar00rootroot00000000000000from urllib.error import URLError import pytest import xyzservices.providers as xyz from xyzservices import Bunch, TileProvider @pytest.fixture def basic_provider(): return TileProvider( url="https://myserver.com/tiles/{z}/{x}/{y}.png", attribution="(C) xyzservices", name="my_public_provider", ) @pytest.fixture def retina_provider(): return TileProvider( url="https://myserver.com/tiles/{z}/{x}/{y}{r}.png", attribution="(C) xyzservices", name="my_public_provider2", r="@2x", ) @pytest.fixture def silent_retina_provider(): return TileProvider( url="https://myserver.com/tiles/{z}/{x}/{y}{r}.png", attribution="(C) xyzservices", name="my_public_retina_provider3", ) @pytest.fixture def private_provider(): return TileProvider( url="https://myserver.com/tiles/{z}/{x}/{y}?access_token={accessToken}", attribution="(C) xyzservices", accessToken="", name="my_private_provider", ) @pytest.fixture def html_attr_provider(): return TileProvider( url="https://myserver.com/tiles/{z}/{x}/{y}.png", attribution="(C) xyzservices", html_attribution='© xyzservices', # noqa name="my_public_provider_html", ) @pytest.fixture def subdomain_provider(): return TileProvider( url="https://{s}.myserver.com/tiles/{z}/{x}/{y}.png", attribution="(C) xyzservices", subdomains="abcd", name="my_subdomain_provider", ) @pytest.fixture def test_bunch( basic_provider, retina_provider, silent_retina_provider, private_provider, html_attr_provider, subdomain_provider, ): return Bunch( basic_provider=basic_provider, retina_provider=retina_provider, silent_retina_provider=silent_retina_provider, private_provider=private_provider, bunched=Bunch( html_attr_provider=html_attr_provider, subdomain_provider=subdomain_provider ), ) def test_expect_name_url_attribution(): msg = ( "The attributes `name`, `url`, and `attribution` are " "required to initialise a `TileProvider`. Please provide " "values for: " ) with pytest.raises(AttributeError, match=msg + "`name`, `url`, `attribution`"): TileProvider({}) with pytest.raises(AttributeError, match=msg + "`url`, `attribution`"): TileProvider({"name": "myname"}) with pytest.raises(AttributeError, match=msg + "`attribution`"): TileProvider({"url": "my_url", "name": "my_name"}) with pytest.raises(AttributeError, match=msg + "`attribution`"): TileProvider(url="my_url", name="my_name") def test_build_url( basic_provider, retina_provider, silent_retina_provider, private_provider, subdomain_provider, ): expected = "https://myserver.com/tiles/{z}/{x}/{y}.png" assert basic_provider.build_url() == expected expected = "https://myserver.com/tiles/3/1/2.png" assert basic_provider.build_url(1, 2, 3) == expected assert basic_provider.build_url(1, 2, 3, scale_factor="@2x") == expected assert silent_retina_provider.build_url(1, 2, 3) == expected expected = "https://myserver.com/tiles/3/1/2@2x.png" assert retina_provider.build_url(1, 2, 3) == expected assert silent_retina_provider.build_url(1, 2, 3, scale_factor="@2x") == expected expected = "https://myserver.com/tiles/3/1/2@5x.png" assert retina_provider.build_url(1, 2, 3, scale_factor="@5x") == expected expected = "https://myserver.com/tiles/{z}/{x}/{y}?access_token=my_token" assert private_provider.build_url(accessToken="my_token") == expected with pytest.raises(ValueError, match="Token is required for this provider"): private_provider.build_url() expected = "https://{s}.myserver.com/tiles/{z}/{x}/{y}.png" assert subdomain_provider.build_url(fill_subdomain=False) expected = "https://a.myserver.com/tiles/{z}/{x}/{y}.png" assert subdomain_provider.build_url() def test_requires_token(private_provider, basic_provider): assert private_provider.requires_token() is True assert basic_provider.requires_token() is False def test_html_repr(basic_provider, retina_provider): provider_strings = [ '
    ', '
    ', '
    xyzservices.TileProvider
    ', '
    my_public_provider
    ', '
    ', '
    ', "
    url
    https://myserver.com/tiles/{z}/{x}/{y}.png
    ", "
    attribution
    (C) xyzservices
    ", ] for html_string in provider_strings: assert html_string in basic_provider._repr_html_() bunch = Bunch({"first": basic_provider, "second": retina_provider}) bunch_strings = [ '
    xyzservices.Bunch
    ', '
    2 items
    ', '
      ', '
    • ', "xyzservices.TileProvider", '
      ', ] bunch_repr = bunch._repr_html_() for html_string in provider_strings + bunch_strings: assert html_string in bunch_repr assert bunch_repr.count('
    • ') == 2 assert bunch_repr.count('
      ') == 3 assert bunch_repr.count('
      ') == 3 def test_copy(basic_provider): basic2 = basic_provider.copy() assert isinstance(basic2, TileProvider) def test_callable(): # only testing the callable functionality to override a keyword, as we # cannot test the actual providers that need an API key original_key = str(xyz.OpenWeatherMap.CloudsClassic["apiKey"]) updated_provider = xyz.OpenWeatherMap.CloudsClassic(apiKey="mykey") assert isinstance(updated_provider, TileProvider) assert "url" in updated_provider assert updated_provider["apiKey"] == "mykey" # check that original provider dict is not modified assert xyz.OpenWeatherMap.CloudsClassic["apiKey"] == original_key def test_html_attribution_fallback(basic_provider, html_attr_provider): # TileProvider.html_attribution falls back to .attribution if the former not present assert basic_provider.html_attribution == basic_provider.attribution assert ( html_attr_provider.html_attribution == '© xyzservices' ) @pytest.mark.xfail(reason="timeout error", raises=URLError) def test_from_qms(): provider = TileProvider.from_qms("OpenStreetMap Standard aka Mapnik") assert isinstance(provider, TileProvider) @pytest.mark.xfail(reason="timeout error", raises=URLError) def test_from_qms_not_found_error(): with pytest.raises(ValueError): TileProvider.from_qms("LolWut") def test_flatten( basic_provider, retina_provider, silent_retina_provider, private_provider ): nested_bunch = Bunch( first_bunch=Bunch(first=basic_provider, second=retina_provider), second_bunch=Bunch(first=silent_retina_provider, second=private_provider), ) assert len(nested_bunch) == 2 assert len(nested_bunch.flatten()) == 4 def test_filter(test_bunch): assert len(test_bunch.filter(keyword="private").flatten()) == 1 assert len(test_bunch.filter(keyword="public").flatten()) == 4 assert len(test_bunch.filter(keyword="{s}").flatten()) == 1 assert len(test_bunch.filter(name="retina").flatten()) == 1 assert len(test_bunch.filter(requires_token=True).flatten()) == 1 assert len(test_bunch.filter(requires_token=False).flatten()) == 5 assert len(test_bunch.filter(requires_token=False)) == 4 # check nested structure assert len(test_bunch.filter(keyword="{s}", requires_token=False).flatten()) == 1 assert len(test_bunch.filter(name="nonsense").flatten()) == 0 def custom(provider): if hasattr(provider, "subdomains") and provider.subdomains == "abcd": return True return bool(hasattr(provider, "r")) assert len(test_bunch.filter(function=custom).flatten()) == 2 def test_query_name(): options = [ "CartoDB Positron", "cartodbpositron", "cartodb-positron", "carto db/positron", "CARTO_DB_POSITRON", "CartoDB.Positron", "Carto,db,positron", ] for option in options: queried = xyz.query_name(option) assert isinstance(queried, TileProvider) assert queried.name == "CartoDB.Positron" with pytest.raises(ValueError, match="No matching provider found"): xyz.query_name("i don't exist") # Name with underscore GH124 option_with_underscore = "NASAGIBS.ASTER_GDEM_Greyscale_Shaded_Relief" queried = xyz.query_name(option_with_underscore) assert isinstance(queried, TileProvider) assert queried.name == option_with_underscore geopandas-xyzservices-88d8a18/xyzservices/tests/test_providers.py000066400000000000000000000157531516250557700256340ustar00rootroot00000000000000import os import mercantile import pytest import requests import xyzservices.providers as xyz flat_free = xyz.filter(requires_token=False).flatten() def check_provider(provider): for key in ["attribution", "name"]: assert key in provider assert provider.url.startswith("http") for option in ["{z}", "{y}", "{x}"]: assert option in provider.url def get_tile(provider): bounds = provider.get("bounds", [[-180, -90], [180, 90]]) lat = (bounds[0][0] + bounds[1][0]) / 2 lon = (bounds[0][1] + bounds[1][1]) / 2 zoom = (provider.get("min_zoom", 0) + provider.get("max_zoom", 20)) // 2 tile = mercantile.tile(lon, lat, zoom) z = tile.z x = tile.x y = tile.y return (z, x, y) def get_response(url): s = requests.Session() a = requests.adapters.HTTPAdapter(max_retries=3) s.mount("http://", a) s.mount("https://", a) try: r = s.get(url, timeout=30) except requests.ConnectionError: pytest.xfail("Timeout.") return r.status_code def get_test_result(provider, allow_403=True): if provider.get("status"): pytest.xfail("Provider is known to be broken.") z, x, y = get_tile(provider) try: r = get_response(provider.build_url(z=z, x=x, y=y)) assert r == requests.codes.ok except AssertionError: if r == 403 and allow_403: pytest.xfail("Provider not available due to API restrictions (Error 403).") elif r == 503: pytest.xfail("Service temporarily unavailable (Error 503).") elif r == 502: pytest.xfail("Bad Gateway (Error 502).") # check another tiles elif r == 404: # in some cases, the computed tile is not available. trying known tiles. options = [ (12, 2154, 1363), (6, 13, 21), (16, 33149, 22973), (0, 0, 0), (2, 6, 7), (6, 21, 31), (6, 21, 32), (6, 21, 33), (6, 22, 31), (6, 22, 32), (6, 22, 33), (6, 23, 31), (6, 23, 32), (6, 23, 33), (9, 259, 181), (12, 2074, 1410), ] results = [] for o in options: z, x, y = o r = get_response(provider.build_url(z=z, x=x, y=y)) results.append(r) if not any(x == requests.codes.ok for x in results): raise ValueError(f"Response code: {r}") else: raise ValueError(f"Response code: {r}") @pytest.mark.parametrize("provider_name", xyz.flatten()) def test_minimal_provider_metadata(provider_name): provider = xyz.flatten()[provider_name] check_provider(provider) @pytest.mark.request @pytest.mark.parametrize("name", flat_free) def test_free_providers(name): provider = flat_free[name] if "Stadia" in name: pytest.skip("Stadia doesn't support tile download in this way.") elif "GeoportailFrance" in name: try: get_test_result(provider) except ValueError: pytest.xfail("GeoportailFrance API is unstable.") else: get_test_result(provider) # test providers requiring API keys. Store API keys in GitHub secrets and load them as # environment variables in CI Action. Note that env variable is loaded as empty on PRs # from a fork. @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.Thunderforest) def test_thunderforest(provider_name): try: token = os.environ["THUNDERFOREST"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.Thunderforest[provider_name](apikey=token) get_test_result(provider, allow_403=False) @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.Jawg) def test_jawg(provider_name): try: token = os.environ["JAWG"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.Jawg[provider_name](accessToken=token) get_test_result(provider, allow_403=False) @pytest.mark.request def test_mapbox(): try: token = os.environ["MAPBOX"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.MapBox(accessToken=token) get_test_result(provider, allow_403=False) @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.MapTiler) def test_maptiler(provider_name): try: token = os.environ["MAPTILER"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.MapTiler[provider_name](key=token) get_test_result(provider, allow_403=False) @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.TomTom) def test_tomtom(provider_name): try: token = os.environ["TOMTOM"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.TomTom[provider_name](apikey=token) get_test_result(provider, allow_403=False) @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.OpenWeatherMap) def test_openweathermap(provider_name): try: token = os.environ["OPENWEATHERMAP"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.OpenWeatherMap[provider_name](apiKey=token) get_test_result(provider, allow_403=False) # HEREV3 seems to block GHA as it errors with E429 # @pytest.mark.request # @pytest.mark.parametrize("provider_name", xyz.HEREv3) # def test_herev3(provider_name): # try: # token = os.environ["HEREV3"] # except KeyError: # pytest.xfail("Missing API token.") # if token == "": # pytest.xfail("Token empty.") # provider = xyz.HEREv3[provider_name](apiKey=token) # get_test_result(provider, allow_403=False) @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.Stadia) def test_stadia(provider_name): try: token = os.environ["STADIA"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.Stadia[provider_name](api_key=token) provider["url"] = provider["url"] + "?api_key={api_key}" get_test_result(provider, allow_403=False) @pytest.mark.request @pytest.mark.parametrize("provider_name", xyz.OrdnanceSurvey) def test_os(provider_name): try: token = os.environ["ORDNANCESURVEY"] except KeyError: pytest.xfail("Missing API token.") if token == "": pytest.xfail("Token empty.") provider = xyz.OrdnanceSurvey[provider_name](key=token) get_test_result(provider, allow_403=False) # NOTE: AzureMaps are not tested as their free account is limited to # 5000 downloads (total, not per month)