pax_global_header 0000666 0000000 0000000 00000000064 15165151064 0014516 g ustar 00root root 0000000 0000000 52 comment=402ec8b95d116ea8506685f742b7b50f4583fa02
developmentseed-geojson-pydantic-f158682/ 0000775 0000000 0000000 00000000000 15165151064 0020441 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/.github/ 0000775 0000000 0000000 00000000000 15165151064 0022001 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/.github/codecov.yml 0000664 0000000 0000000 00000000204 15165151064 0024142 0 ustar 00root root 0000000 0000000 comment: off
coverage:
status:
project:
default:
target: auto
threshold: 5
developmentseed-geojson-pydantic-f158682/.github/dependabot.yml 0000664 0000000 0000000 00000000666 15165151064 0024641 0 ustar 00root root 0000000 0000000 version: 2
updates:
- package-ecosystem: "github-actions"
cooldown:
default-days: 3
directory: "/"
schedule:
# Check for updates to GitHub Actions every week
interval: "weekly"
groups:
all:
patterns:
- "*"
- package-ecosystem: uv
cooldown:
default-days: 7
directory: "/"
schedule:
interval: weekly
groups:
all:
patterns:
- "*" developmentseed-geojson-pydantic-f158682/.github/workflows/ 0000775 0000000 0000000 00000000000 15165151064 0024036 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/.github/workflows/ci.yml 0000664 0000000 0000000 00000002774 15165151064 0025166 0 ustar 00root root 0000000 0000000 name: CI
on:
push:
branches:
- main
tags:
- '*'
pull_request:
env:
LATEST_PY_VERSION: '3.14'
jobs:
tests:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- '3.9'
- '3.10'
- '3.11'
- '3.12'
- '3.13'
- '3.14'
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6
with:
python-version: ${{ matrix.python-version }}
- name: Install uv
uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0
with:
version: "0.9.*"
enable-cache: true
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
uv sync
- name: Run pre-commit
if: ${{ matrix.python-version == env.LATEST_PY_VERSION }}
run: |
uv run pre-commit run --all-files
- name: Run tests
run: uv run pytest --cov geojson_pydantic --cov-report xml --cov-report term-missing -s -vv
- name: Upload Results
if: ${{ matrix.python-version == env.LATEST_PY_VERSION }}
uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0
with:
files: ./coverage.xml
flags: unittests
fail_ci_if_error: false
token: ${{ secrets.CODECOV_TOKEN }}
developmentseed-geojson-pydantic-f158682/.github/workflows/deploy_mkdocs.yml 0000664 0000000 0000000 00000001276 15165151064 0027423 0 ustar 00root root 0000000 0000000 name: Publish docs via GitHub Pages
on:
push:
branches:
- main
paths:
# Only rebuild website when docs have changed
- 'README.md'
- 'CHANGELOG.md'
- 'CONTRIBUTING.md'
- 'docs/**'
jobs:
build:
name: Deploy docs
runs-on: ubuntu-latest
steps:
- name: Checkout main
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Install uv
uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0
with:
version: "0.9.*"
enable-cache: true
- name: Deploy docs
run: uv run --group docs mkdocs gh-deploy --force -f docs/mkdocs.yml developmentseed-geojson-pydantic-f158682/.github/workflows/release.yml 0000664 0000000 0000000 00000004136 15165151064 0026205 0 ustar 00root root 0000000 0000000 name: Release
on:
push:
tags:
- '*'
env:
LATEST_PY_VERSION: '3.14'
jobs:
build:
name: Build dist
runs-on: ubuntu-latest
if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags')
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6
- name: Install uv
uses: astral-sh/setup-uv@cec208311dfd045dd5311c1add060b2062131d57 # v8.0.0
with:
version: "0.9.*"
enable-cache: true
python-version: ${{ env.LATEST_PY_VERSION }}
- name: Install dependencies
run: |
uv sync --group deploy
- name: Set tag version
id: tag
run: |
echo "version=${GITHUB_REF#refs/*/}"
echo "version=${GITHUB_REF#refs/*/}" >> $GITHUB_OUTPUT
- name: Set module version
id: module
run: |
echo "version=$(uv run hatch --quiet version)" >> $GITHUB_OUTPUT
- name: Check version match
run: |
if [ "${{ steps.tag.outputs.version }}" != "${{ steps.module.outputs.version }}" ]; then
echo "Tag version (${{ steps.tag.outputs.version }}) does not match module version (${{ steps.module.outputs.version }})"
exit 1
fi
- name: Build
run: |
uv run hatch build
- uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7
with:
path: ./dist/
upload_pypi:
name: Upload release to PyPI
needs: [build]
runs-on: ubuntu-latest
environment:
# Note: this environment must be configured in the repo settings
name: pypi-release
url: https://pypi.org/p/geojson-pydantic
permissions:
id-token: write # IMPORTANT: this permission is mandatory for trusted publishing
steps:
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
with:
name: artifact
path: dist
merge-multiple: true
- name: Publish package distributions to PyPI
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
developmentseed-geojson-pydantic-f158682/.gitignore 0000664 0000000 0000000 00000002225 15165151064 0022432 0 ustar 00root root 0000000 0000000 # Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# 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/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# dotenv
.env
# virtualenv
.venv
venv/
ENV/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.pytest_cache
developmentseed-geojson-pydantic-f158682/.pre-commit-config.yaml 0000664 0000000 0000000 00000001267 15165151064 0024730 0 ustar 00root root 0000000 0000000 repos:
- repo: https://github.com/abravalheri/validate-pyproject
rev: v0.25
hooks:
- id: validate-pyproject
- repo: https://github.com/PyCQA/isort
rev: 8.0.1
hooks:
- id: isort
language_version: python
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.15.9
hooks:
- id: ruff
args: ["--fix"]
- id: ruff-format
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v1.20.0
hooks:
- id: mypy
language_version: python
# No reason to run if only tests have changed. They intentionally break typing.
exclude: tests/.*
additional_dependencies:
- pydantic~=2.0
developmentseed-geojson-pydantic-f158682/CHANGELOG.md 0000664 0000000 0000000 00000044536 15165151064 0022266 0 ustar 00root root 0000000 0000000
# Change Log
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](http://keepachangelog.com/).
Note: Minor version `0.X.0` update might break the API, It's recommended to pin geojson-pydantic to minor version: `geojson-pydantic>=0.6,<0.7`
## [unreleased]
## [2.1.1] - 2026-04-07
* fix: Clarify polygon, multipolygon validation error messages (author @psobolewskiPhD, https://github.com/developmentseed/geojson-pydantic/pull/184)
## [2.1.0] - 2025-10-08
* add `.create()` method to Geometry objects to create them without `type` key
```python
from geojson_pydantic import Point
Point.create(coordinates=(0,0))
>> Point(bbox=None, type='Point', coordinates=Position2D(longitude=0.0, latitude=0.0))
```
* add python 3.14 support
## [2.0.0] - 2025-05-05
* remove custom `__iter__`, `__getitem__` and `__len__` methods from `GeometryCollection` class **breaking change**
```python
from geojson_pydantic.geometries import GeometryCollection, Point, MultiPoint
geoms = GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=(102.0, 0.5)),
MultiPoint(type="MultiPoint", coordinates=[(100.0, 0.0), (101.0, 1.0)]),
],
)
########
# Before
for geom in geom: # __iter__
pass
assert len(geoms) == 2 # __len__
_ = geoms[0] # __getitem__
#####
# Now
for geom in geom.iter(): # __iter__
pass
assert geoms.length == 2 # __len__
_ = geoms.geometries[0] # __getitem__
```
* remove custom `__iter__`, `__getitem__` and `__len__` methods from `FeatureCollection` class **breaking change**
```python
from geojson_pydantic import FeatureCollection, Feature, Point
fc = FeatureCollection(
type="FeatureCollection", features=[
Feature(type="Feature", geometry=Point(type="Point", coordinates=(102.0, 0.5)), properties={"name": "point1"}),
Feature(type="Feature", geometry=Point(type="Point", coordinates=(102.0, 1.5)), properties={"name": "point2"}),
]
)
########
# Before
for feat in fc: # __iter__
pass
assert len(fc) == 2 # __len__
_ = fc[0] # __getitem__
#####
# Now
for feat in fc.iter(): # __iter__
pass
assert fc.length == 2 # __len__
_ = fe.features[0] # __getitem__
```
* make sure `GeometryCollection` are homogeneous for Z coordinates
```python
from geojson_pydantic.geometries import Point, LineString, GeometryCollection
# Before
GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0]), # 2D point
LineString(
type="LineString", coordinates=[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)] # 3D LineString
),
],
)
>>> GeometryCollection(bbox=None, type='GeometryCollection', geometries=[Point(bbox=None, type='Point', coordinates=Position3D(longitude=0.0, latitude=0.0, altitude=0.0)), LineString(bbox=None, type='LineString', coordinates=[Position3D(longitude=0.0, latitude=0.0, altitude=0.0), Position3D(longitude=1.0, latitude=1.0, altitude=1.0)])])
# Now
GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0]), # 2D point
LineString(
type="LineString", coordinates=[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)] # 3D LineString
),
],
)
>>> ValidationError: 1 validation error for GeometryCollection
geometries
Value error, GeometryCollection cannot have mixed Z dimensionality. [type=value_error, input_value=[Point(bbox=None, type='P...de=1.0, altitude=1.0)])], input_type=list]
For further information visit https://errors.pydantic.dev/2.11/v/value_error
```
## [1.2.0] - 2024-12-19
* drop python 3.8 support
* add python 3.13 support
## [1.1.2] - 2024-10-22
* relax `bbox` validation and allow antimeridian crossing bboxes
## [1.1.1] - 2024-08-29
* add python 3.12 support
* switch to `flit-core` for packaging build backend
## [1.1.0] - 2024-05-10
### Added
* Add Position2D and Position3D of type NamedTuple (author @impocode, https://github.com/developmentseed/geojson-pydantic/pull/161)
## [1.0.2] - 2024-01-16
### Fixed
* Temporary workaround for surfacing model attributes in FastAPI application (author @markus-work, https://github.com/developmentseed/geojson-pydantic/pull/153)
## [1.0.1] - 2023-10-04
### Fixed
* Model serialization when using include/exclude (ref: https://github.com/developmentseed/geojson-pydantic/pull/148)
## [1.0.0] - 2023-07-24
### Fixed
* reduce validation error message verbosity when discriminating Geometry types
* MultiPoint WKT now includes parentheses around each Point
### Added
* more tests for `GeometryCollection` warnings
### Changed
* update pydantic requirement to `~=2.0`
* update pydantic `FeatureCollection` generic model to allow named features in the generated schemas.
```python
# before
FeatureCollection[Geometry, Properties]
# now
FeatureCollection[Feature[Geometry, Properties]]
```
* raise `ValueError` in `geometries.parse_geometry_obj` instead of `ValidationError`
```python
# before
parse_geometry_obj({"type": "This type", "obviously": "doesn't exist"})
>> ValidationError
# now
parse_geometry_obj({"type": "This type", "obviously": "doesn't exist"})
>> ValueError("Unknown type: This type")
```
* update JSON serializer to exclude null `bbox` and `id`
```python
# before
Point(type="Point", coordinates=[0, 0]).json()
>> '{"type":"Point","coordinates":[0.0,0.0],"bbox":null}'
# now
Point(type="Point", coordinates=[0, 0]).model_dump_json()
>> '{"type":"Point","coordinates":[0.0,0.0]}'
```
* delete `geojson_pydantic.geo_interface.GeoInterfaceMixin` and replaced by `geojson_pydantic.base._GeoJsonBase` class
* delete `geojson_pydantic.types.validate_bbox`
## [0.6.3] - 2023-07-02
* limit pydantic requirement to `~=1.0`
## [0.6.2] - 2023-05-16
### Added
* Additional bbox validation (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/122)
## [0.6.1] - 2023-05-12
### Fixed
* Fix issue with null bbox validation (author @bmschmidt, https://github.com/developmentseed/geojson-pydantic/pull/119)
## [0.6.0] - 2023-05-09
No change since 0.6.0a0
## [0.6.0a0] - 2023-04-04
### Added
- Validate order of bounding box values. (author @moradology, https://github.com/developmentseed/geojson-pydantic/pull/114)
- Enforce required keys and avoid defaults. This aim to follow the geojson specification to the letter.
```python
# Before
Feature(geometry=Point(coordinates=(0,0)))
# Now
Feature(
type="Feature",
geometry=Point(
type="Point",
coordinates=(0,0)
),
properties=None,
)
```
- Add has_z function to Geometries (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/103)
- Add optional bbox to geometries. (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/108)
- Add support for nested GeometryCollection and a corresponding warning. (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/111)
### Changed
- Refactor and simplify WKT construction (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/97)
- Support empty geometry coordinates (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/100)
- Refactored `__geo_interface__` to be a Mixin which returns `self.dict` (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/105)
- GeometryCollection containing a single geometry or geometries of only one type will now produce a warning. (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/111)
### Fixed
- Do not validates arbitrary dictionaries. Make `Type` a mandatory key for objects (author @vincentsarago, https://github.com/developmentseed/geojson-pydantic/pull/94)
- Add Geometry discriminator when parsing geometry objects (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/101)
- Mixed Dimensionality WKTs (make sure the coordinates are either all 2D or 3D) (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/107)
- Allow Feature's **id** to be either a String or a Number (author @vincentsarago, https://github.com/developmentseed/geojson-pydantic/pull/91)
### Removed
- Python 3.7 support (author @vincentsarago, https://github.com/developmentseed/geojson-pydantic/pull/94)
- Unused `LinearRing` Model (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/106)
## [0.5.0] - 2022-12-16
### Added
- python 3.11 support
### Fixed
- Derive WKT type from Geometry's type instead of class name (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/81)
### Changed
- Replace `NumType` with `float` throughout (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/83)
- `__geo_interface__` definition to not use pydantic `BaseModel.dict()` method and better match the specification
- Adjusted mypy configuration and updated type definitions to satisfy all rules (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/87)
- Updated pre-commit config to run mypy on the whole library instead of individual changed files.
- Defaults are more explicit. This keeps pyright from thinking they are required.
### Removed
- Remove `validate` classmethods used to implicitly load json strings (author @eseglem, https://github.com/developmentseed/geojson-pydantic/pull/88)
## [0.4.3] - 2022-07-18
### Fixed
- The bbox key should not be in a `__geo_interface__` object if the bbox is None (author @yellowcap, https://github.com/developmentseed/geojson-pydantic/pull/77)
## [0.4.2] - 2022-06-13
### Added
- `GeometryCollection` as optional input to geometry field in `Feature` (author @davidraleigh, https://github.com/developmentseed/geojson-pydantic/pull/72)
## [0.4.1] - 2022-06-10
### Added
- `Geometry` and `GeometryCollection` validation from dict or string (author @Vikka, https://github.com/developmentseed/geojson-pydantic/pull/69)
```python
Point.validate('{"coordinates": [1.0, 2.0], "type": "Point"}')
>> Point(coordinates=(1.0, 2.0), type='Point')
```
- `Feature` and `FeatureCollection` validation from dict or string
```python
FeatureCollection.validate('{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"coordinates": [1.0, 2.0], "type": "Point"}}]}')
>> FeatureCollection(type='FeatureCollection', features=[Feature(type='Feature', geometry=Point(coordinates=(1.0, 2.0), type='Point'), properties=None, id=None, bbox=None)], bbox=None)
```
## [0.4.0] - 2022-06-03
### Added
- `.wkt` property for Geometry object
```python
from geojson_pydantic.geometries import Point
Point(coordinates=(1, 2)).wkt
>> 'POINT (1.0 2.0)'
```
- `.exterior` and `.interiors` properties for `geojson_pydantic.geometries.Polygon` object.
```python
from geojson_pydantic.geometries import Polygon
polygon = Polygon(
coordinates=[
[(0, 0), (0, 10), (10, 10), (10, 0), (0, 0)],
[(2, 2), (2, 4), (4, 4), (4, 2), (2, 2)],
]
)
polygon.exterior
>> [(0.0, 0.0), (0.0, 10.0), (10.0, 10.0), (10.0, 0.0), (0.0, 0.0)]
list(polygon.interiors)
>> [[(2.0, 2.0), (2.0, 4.0), (4.0, 4.0), (4.0, 2.0), (2.0, 2.0)]]
```
- `__geo_interface__` to `geojson_pydantic.geometries.GeometryCollection` object
- `__geo_interface__` to `geojson_pydantic.feature.Feature` and `geojson_pydantic.feature.FeatureCollection` object
- `geojson_pydantic.__all__` to declaring public objects (author @farridav, https://github.com/developmentseed/geojson-pydantic/pull/52)
### Changed
- switch to `pyproject.toml`
- rename `geojson_pydantic.version` to `geojson_pydantic.__version__`
### Fixed
- changelog compare links
## [0.3.4] - 2022-04-28
- Fix optional geometry and bbox fields on `Feature`; allowing users to pass in `None` or even omit either field (author @moradology, https://github.com/developmentseed/geojson-pydantic/pull/56)
- Fix `Polygon.from_bounds` to respect geojson specification and return counterclockwise linear ring (author @jmfee-usgs, https://github.com/developmentseed/geojson-pydantic/pull/49)
## [0.3.3] - 2022-03-04
- Follow geojson specification and make feature geometry optional (author @yellowcap, https://github.com/developmentseed/geojson-pydantic/pull/47)
```python
from geojson_pydantic import Feature
# Before
feature = Feature(type="Feature", geometry=None, properties={})
>> ValidationError: 1 validation error for Feature
geometry none is not an allowed value (type=type_error.none.not_allowed)
# Now
feature = Feature(type="Feature", geometry=None, properties={})
assert feature.geometry is None
```
## [0.3.2] - 2022-02-21
- fix `parse_geometry_obj` potential bug (author @geospatial-jeff, https://github.com/developmentseed/geojson-pydantic/pull/45)
- improve type definition (and validation) for geometry coordinate arrays (author @geospatial-jeff, https://github.com/developmentseed/geojson-pydantic/pull/44)
## [0.3.1] - 2021-08-04
### Added
- `Polygon.from_bounds` class method to create a Polygon geometry from a bounding box.
```python
from geojson_pydantic import Polygon
print(Polygon.from_bounds((1, 2, 3, 4)).dict(exclude_none=True))
>> {'coordinates': [[(1.0, 2.0), (1.0, 4.0), (3.0, 4.0), (3.0, 2.0), (1.0, 2.0)]], 'type': 'Polygon'}
```
### Fixed
- Added validation for Polygons with zero size.
## [0.3.0] - 2021-05-25
### Added
- `Feature` and `FeatureCollection` model generics to support custom geometry and/or properties validation (author @iwpnd, https://github.com/developmentseed/geojson-pydantic/pull/29)
```python
from pydantic import BaseModel
from geojson_pydantic.features import Feature
from geojson_pydantic.geometries import Polygon
class MyFeatureProperties(BaseModel):
name: str
value: int
feature = Feature[Polygon, MyFeatureProperties](
**{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[13.38272,52.46385],
[13.42786,52.46385],
[13.42786,52.48445],
[13.38272,52.48445],
[13.38272,52.46385]
]
]
},
"properties": {
"name": "test",
"value": 1
}
}
)
```
- Top level export (https://github.com/developmentseed/geojson-pydantic/pull/34)
```python
# before
from geojson_pydantic.features import Feature, FeatureCollection
from geojson_pydantic.geometries import Polygon
# now
from geojson_pydantic import Feature, Polygon
```
### Removed
- Drop python 3.6 support
- Renamed `utils.py` to `types.py`
- Removed `Coordinate` type in `geojson_pydantic.features` (replaced by `Position`)
## [0.2.3] - 2021-05-05
### Fixed
- incorrect version number set in `__init__.py`
## [0.2.2] - 2020-12-29
### Added
- Made collections iterable (#12)
- Added `parse_geometry_obj` function (#9)
## [0.2.1] - 2020-08-07
Although the type file was added in `0.2.0` it wasn't included in the distributed package. Use this version `0.2.1` for type annotations.
### Fixed
- Correct package type information files
## [0.2.0] - 2020-08-06
### Added
- Added documentation on locally running tests (#3)
- Publish type information (#6)
### Changed
- Removed geojson dependency (#4)
### Fixed
- Include MultiPoint as a valid geometry for a Feature (#1)
## [0.1.0] - 2020-05-21
### Added
- Initial Release
[unreleased]: https://github.com/developmentseed/geojson-pydantic/compare/2.1.1...HEAD
[2.1.1]: https://github.com/developmentseed/geojson-pydantic/compare/2.1.0...2.1.1
[2.1.0]: https://github.com/developmentseed/geojson-pydantic/compare/2.0.0...2.1.0
[2.0.0]: https://github.com/developmentseed/geojson-pydantic/compare/1.2.0...2.0.0
[1.2.0]: https://github.com/developmentseed/geojson-pydantic/compare/1.1.2...1.2.0
[1.1.2]: https://github.com/developmentseed/geojson-pydantic/compare/1.1.1...1.1.2
[1.1.1]: https://github.com/developmentseed/geojson-pydantic/compare/1.1.0...1.1.1
[1.1.0]: https://github.com/developmentseed/geojson-pydantic/compare/1.0.2...1.1.0
[1.0.2]: https://github.com/developmentseed/geojson-pydantic/compare/1.0.1...1.0.2
[1.0.1]: https://github.com/developmentseed/geojson-pydantic/compare/1.0.0...1.0.1
[1.0.0]: https://github.com/developmentseed/geojson-pydantic/compare/0.6.3...1.0.0
[0.6.3]: https://github.com/developmentseed/geojson-pydantic/compare/0.6.2...0.6.3
[0.6.2]: https://github.com/developmentseed/geojson-pydantic/compare/0.6.1...0.6.2
[0.6.1]: https://github.com/developmentseed/geojson-pydantic/compare/0.6.0...0.6.1
[0.6.0]: https://github.com/developmentseed/geojson-pydantic/compare/0.6.0a0...0.6.0
[0.6.0a]: https://github.com/developmentseed/geojson-pydantic/compare/0.5.0...0.6.0a0
[0.5.0]: https://github.com/developmentseed/geojson-pydantic/compare/0.4.3...0.5.0
[0.4.3]: https://github.com/developmentseed/geojson-pydantic/compare/0.4.2...0.4.3
[0.4.2]: https://github.com/developmentseed/geojson-pydantic/compare/0.4.1...0.4.2
[0.4.1]: https://github.com/developmentseed/geojson-pydantic/compare/0.4.0...0.4.1
[0.4.0]: https://github.com/developmentseed/geojson-pydantic/compare/0.3.4...0.4.0
[0.3.4]: https://github.com/developmentseed/geojson-pydantic/compare/0.3.3...0.3.4
[0.3.3]: https://github.com/developmentseed/geojson-pydantic/compare/0.3.2...0.3.3
[0.3.2]: https://github.com/developmentseed/geojson-pydantic/compare/0.3.1...0.3.2
[0.3.1]: https://github.com/developmentseed/geojson-pydantic/compare/0.3.0...0.3.1
[0.3.0]: https://github.com/developmentseed/geojson-pydantic/compare/0.2.3...0.3.0
[0.2.3]: https://github.com/developmentseed/geojson-pydantic/compare/0.2.2...0.2.3
[0.2.2]: https://github.com/developmentseed/geojson-pydantic/compare/0.2.1...0.2.2
[0.2.1]: https://github.com/developmentseed/geojson-pydantic/compare/0.2.0...0.2.1
[0.2.0]: https://github.com/developmentseed/geojson-pydantic/compare/0.1.0...0.2.0
[0.1.0]: https://github.com/developmentseed/geojson-pydantic/compare/005f3e57ad07272c99c54302decc63eec12175c9...0.1.0
developmentseed-geojson-pydantic-f158682/CONTRIBUTING.md 0000664 0000000 0000000 00000002015 15165151064 0022670 0 ustar 00root root 0000000 0000000 # Contributing
Issues and pull requests are more than welcome.
We recommand using [`uv`](https://docs.astral.sh/uv) as project manager for development.
See https://docs.astral.sh/uv/getting-started/installation/ for installation
### dev install
```sh
git clone https://github.com/developmentseed/geojson-pydantic.git
cd geojson-pydantic
uv sync
```
You can then run the tests with the following command:
```sh
uv run pytest --cov geojson_pydantic --cov-report term-missing
```
This repo is set to use pre-commit to run `isort`, `flake8`, `pydocstring`, `black` ("uncompromising Python code formatter") and `mypy` when committing new code.
``` sh
uv run pre-commit install
```
## Release
we use https://github.com/callowayproject/bump-my-version to update the package version.
```
# Update version (edit files, commit and create tag)
# this will do `0.2.1 -> 0.2.2` because we use the `patch` tag
$ uv run --with bump-my-version bump-my-version bump patch
# Push change and tag to github
$ git push origin main --tags
```
developmentseed-geojson-pydantic-f158682/LICENSE 0000664 0000000 0000000 00000002061 15165151064 0021445 0 ustar 00root root 0000000 0000000 MIT License
Copyright (c) 2020 Development Seed
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
developmentseed-geojson-pydantic-f158682/README.md 0000664 0000000 0000000 00000005733 15165151064 0021730 0 ustar 00root root 0000000 0000000 # geojson-pydantic
Pydantic models for GeoJSON.
---
**Documentation**: https://developmentseed.org/geojson-pydantic/
**Source Code**: https://github.com/developmentseed/geojson-pydantic
---
## Description
`geojson_pydantic` provides a suite of Pydantic models matching the [GeoJSON specification rfc7946](https://datatracker.ietf.org/doc/html/rfc7946). Those models can be used for creating or validating geojson data.
## Install
```bash
python -m pip install -U pip
python -m pip install geojson-pydantic
```
Or install from source:
We recommand using [`uv`](https://docs.astral.sh/uv) as project manager for development.
See https://docs.astral.sh/uv/getting-started/installation/ for installation
```bash
git clone https://github.com/developmentseed/geojson-pydantic.git
cd geojson-pydantic
uv sync
```
Install with conda from [`conda-forge`](https://anaconda.org/conda-forge/geojson-pydantic):
```bash
conda install -c conda-forge geojson-pydantic
```
## Contributing
See [CONTRIBUTING.md](https://github.com/developmentseed/geojson-pydantic/blob/main/CONTRIBUTING.md).
## Changes
See [CHANGES.md](https://github.com/developmentseed/geojson-pydantic/blob/main/CHANGELOG.md).
## Authors
Initial implementation by @geospatial-jeff; taken liberally from https://github.com/arturo-ai/stac-pydantic/
See [contributors](hhttps://github.com/developmentseed/geojson-pydantic/graphs/contributors) for a listing of individual contributors.
## License
See [LICENSE](https://github.com/developmentseed/geojson-pydantic/blob/main/LICENSE)
developmentseed-geojson-pydantic-f158682/docs/ 0000775 0000000 0000000 00000000000 15165151064 0021371 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/docs/mkdocs.yml 0000664 0000000 0000000 00000003400 15165151064 0023371 0 ustar 00root root 0000000 0000000 # Project Information
site_name: 'geojson-pydantic'
site_description: 'Pydantic models for GeoJSON'
docs_dir: 'src'
site_dir: 'build'
# Repository
repo_name: 'developmentseed/geojson-pydantic'
repo_url: 'https://github.com/developmentseed/geojson-pydantic'
edit_uri: 'blob/main/src/'
site_url: 'https://developmentseed.org/geojson-pydantic/'
# Social links
extra:
social:
- icon: 'fontawesome/brands/github'
link: 'https://github.com/developmentseed'
- icon: 'fontawesome/brands/twitter'
link: 'https://twitter.com/developmentseed'
# Layout
nav:
- Home: 'index.md'
- Intro: 'intro.md'
- Migration guides:
- v0.6 -> v1.0: migrations/v1.0_migration.md
- Development - Contributing: 'contributing.md'
- Release: 'release-notes.md'
# Theme
theme:
icon:
logo: 'material/home'
repo: 'fontawesome/brands/github'
name: 'material'
language: 'en'
palette:
primary: 'pink'
accent: 'light pink'
font:
text: 'Nunito Sans'
code: 'Fira Code'
plugins:
- search
# These extensions are chosen to be a superset of Pandoc's Markdown.
# This way, I can write in Pandoc's Markdown and have it be supported here.
# https://pandoc.org/MANUAL.html
markdown_extensions:
- admonition
- attr_list
- codehilite:
guess_lang: false
- def_list
- footnotes
- pymdownx.arithmatex
- pymdownx.betterem
- pymdownx.caret:
insert: false
- pymdownx.details
- pymdownx.emoji
- pymdownx.escapeall:
hardbreak: true
nbsp: true
- pymdownx.magiclink:
hide_protocol: true
repo_url_shortener: true
- pymdownx.smartsymbols
- pymdownx.superfences
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
- toc:
permalink: true
developmentseed-geojson-pydantic-f158682/docs/src/ 0000775 0000000 0000000 00000000000 15165151064 0022160 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/docs/src/contributing.md 0000777 0000000 0000000 00000000000 15165151064 0030063 2../../CONTRIBUTING.md ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/docs/src/index.md 0000777 0000000 0000000 00000000000 15165151064 0025511 2../../README.md ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/docs/src/intro.md 0000664 0000000 0000000 00000014631 15165151064 0023642 0 ustar 00root root 0000000 0000000
## Usage
```python
from geojson_pydantic import Feature, FeatureCollection, Point
geojson_feature = {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [13.38272, 52.46385],
},
"properties": {
"name": "jeff",
},
}
feat = Feature(**geojson_feature)
assert feat.type == "Feature"
assert type(feat.geometry) == Point
assert feat.properties["name"] == "jeff"
fc = FeatureCollection(type="FeatureCollection", features=[geojson_feature, geojson_feature])
assert fc.type == "FeatureCollection"
assert len(fc.features) == 2
assert type(fc.features[0].geometry) == Point
assert fc.features[0].properties["name"] == "jeff"
```
## Geometry Model methods and properties
- `__geo_interface__`: GeoJSON-like protocol for geo-spatial (GIS) vector data ([spec](https://gist.github.com/sgillies/2217756#__geo_interface)).
- `has_z`: returns true if any coordinate has a Z value.
- `wkt`: returns the Well Known Text representation of the geometry.
- `create`: create a geometry object without providing the `type` information
##### For Polygon geometry
- `exterior`: returns the exterior Linear Ring of the polygon.
- `interiors`: returns the interiors (Holes) of the polygon.
- `Polygon.from_bounds(xmin, ymin, xmax, ymax)`: creates a Polygon geometry from a bounding box.
##### For GeometryCollection and FeatureCollection
- `iter()`: iterates over geometries or features
- `length`: returns geometries or features count
## Advanced usage
In `geojson_pydantic` we've implemented pydantic's [Generic Models](https://pydantic-docs.helpmanual.io/usage/models/#generic-models) which allow the creation of more advanced models to validate either the geometry type or the properties.
In order to make use of this generic typing, there are two steps: first create a new model, then use that model to validate your data. To create a model using a `Generic` type, you **HAVE TO** pass `Type definitions` to the `Feature` model in form of `Feature[Geometry Type, Properties Type]`. Then pass your data to this constructor.
By default `Feature` and `FeatureCollections` are defined using `geojson_pydantic.geometries.Geometry` for the geometry and `typing.Dict` for the properties.
Here's an example where we want to validate that GeoJSON features have Polygon types, but don't do any specific property validation.
```python
from typing import Dict
from geojson_pydantic import Feature, Polygon
from pydantic import BaseModel
geojson_feature = {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [13.38272, 52.46385],
},
"properties": {
"name": "jeff",
},
}
# Define a Feature model with Geometry as `Polygon` and Properties as `Dict`
MyPolygonFeatureModel = Feature[Polygon, Dict]
feat = MyPolygonFeatureModel(**geojson_feature) # should raise Validation Error because `geojson_feature` is a point
>>> ValidationError: 3 validation errors for Feature[Polygon, Dict]
...
geometry -> type
unexpected value; permitted: 'Polygon' (type=value_error.const; given=Point; permitted=['Polygon'])
geojson_feature = {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[13.38272, 52.46385],
[13.42786, 52.46385],
[13.42786, 52.48445],
[13.38272, 52.48445],
[13.38272, 52.46385],
]
],
},
"properties": {
"name": "jeff",
},
}
feat = MyPolygonFeatureModel(**geojson_feature)
assert type(feat.geometry) == Polygon
```
Or with optional geometry
```python
from geojson_pydantic import Feature, Point
from typing import Optional
MyPointFeatureModel = Feature[Optional[Point], Dict]
assert MyPointFeatureModel(type="Feature", geometry=None, properties={}).geometry is None
assert MyPointFeatureModel(type="Feature", geometry=Point(type="Point", coordinates=(0,0)), properties={}).geometry is not None
```
And now with constrained properties
```python
from typing_extensions import Annotated
from geojson_pydantic import Feature, Point
from pydantic import BaseModel
# Define a Feature model with Geometry as `Point` and Properties as a constrained Model
class MyProps(BaseModel):
name: Annotated[str, Field(pattern=r"^(drew|vincent)$")]
MyPointFeatureModel = Feature[Point, MyProps]
geojson_feature = {
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [13.38272, 52.46385],
},
"properties": {
"name": "jeff",
},
}
feat = MyPointFeatureModel(**geojson_feature)
>>> ValidationError: 1 validation error for Feature[Point, MyProps]
properties -> name
string does not match regex "^(drew|vincent)$" (type=value_error.str.regex; pattern=^(drew|vincent)$)
geojson_feature["properties"]["name"] = "drew"
feat = MyPointFeatureModel(**geojson_feature)
assert feat.properties.name == "drew"
```
## Enforced `type` Keys
Starting with version `0.6.0`, geojson-pydantic's classes will not define default keys such has `type`, `geometry` or `properties`.
This is to make sure the library does well its first goal, which is `validating` GeoJSON object based on the [specification](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1.1)
o A GeoJSON object has a member with the name "type". The value of
the member MUST be one of the GeoJSON types.
o A Feature object HAS a "type" member with the value "Feature".
o A Feature object HAS a member with the name "geometry". The value
of the geometry member SHALL be either a Geometry object as
defined above or, in the case that the Feature is unlocated, a
JSON null value.
o A Feature object HAS a member with the name "properties". The
value of the properties member is an object (any JSON object or a
JSON null value).
```python
from geojson_pydantic import Point
## Before 0.6
Point(coordinates=(0,0))
>> Point(type='Point', coordinates=(0.0, 0.0), bbox=None)
## After 0.6
Point(coordinates=(0,0))
>> ValidationError: 1 validation error for Point
type
field required (type=value_error.missing)
Point(type="Point", coordinates=(0,0))
>> Point(type='Point', coordinates=(0.0, 0.0), bbox=None)
```
Starting with `2.1.0`, users can use the `.create()` methods to create geometries without the `type` information
```python
from geojson_pydantic import Point
Point.create(coordinates=(0,0))
# is equivalent to
Point(bbox=None, type='Point', coordinates=Position2D(longitude=0.0, latitude=0.0))
``` developmentseed-geojson-pydantic-f158682/docs/src/migrations/ 0000775 0000000 0000000 00000000000 15165151064 0024334 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/docs/src/migrations/v1.0_migration.md 0000664 0000000 0000000 00000005147 15165151064 0027422 0 ustar 00root root 0000000 0000000 `geojson-pydantic` version 1.0 introduced [many breaking changes](../release-notes.md). This
document aims to help with migrating your code to use `geojson-pydantic` 1.0.
## Pydantic 2.0
The biggest update introduced in **1.0** is the new pydantic *major* version requirement [**~2.0**](https://docs.pydantic.dev/2.0/migration/).
In addition to being faster, this new major version has plenty of new API which we used in `geojson-pydantic` (like the new `model_serializer` method).
```python
from geojson_pydantic import Point
# Before
Point.dict() # serialize to dict object
Point.json() # serialize to json string
with open("point.geojson") as f:
Point.parse_file(f) # parse file content to model
p = {}
Point.parse_obj(obj) # parse dict object
##################
# Now (geojson-pydantic ~= 1.0)
Point.model_dump()
Point.model_dump_json()
with open("point.geojson") as f:
Point.model_validate_json(f.read())
p = {}
Point.model_validate(obj)
```
ref: https://github.com/developmentseed/geojson-pydantic/pull/130
## FeatureCollection Generic model
In **1.0** we updated the generic FeatureCollection model to depends only on a generic Feature model.
```python
# Before
FeatureCollection[Geometry, Properties]
# Now (geojson-pydantic ~= 1.0)
FeatureCollection[Feature[Geometry, Properties]]
```
e.g
```python
from pydantic import BaseModel
from geojson_pydantic import Feature, FeatureCollection, Polygon
class CustomProperties(BaseModel):
id: str
description: str
size: int
# Create a new FeatureCollection Model which should only
# Accept Features with Polygon geometry type and matching the properties
MyFc = FeatureCollection[Feature[Polygon, CustomProperties]]
```
ref: https://github.com/developmentseed/geojson-pydantic/issues/134
## Exclude `bbox` and `id` if null
Using the new pydantic `model_serializer` method, we are now able to `customize` JSON output for the models to better match the GeoJSON spec
```python
# Before
Point(type="Point", coordinates=[0, 0]).json()
>> '{"type":"Point","coordinates":[0.0,0.0],"bbox":null}'
# Now (geojson-pydantic ~= 1.0)
Point(type="Point", coordinates=[0, 0]).model_dump_json()
>> '{"type":"Point","coordinates":[0.0,0.0]}'
```
ref: https://github.com/developmentseed/geojson-pydantic/issues/125
## Change in WKT output for Multi* geometries
```python
from geojson_pydantic import MultiPoint
geom = MultiPoint(type='MultiPoint', coordinates=[(1.0, 2.0, 3.0)])
# Before
print(geom.wkt)
>> MULTIPOINT Z (1 2 3)
# Now (geojson-pydantic ~= 1.0)
print(geom.wkt)
>> MULTIPOINT Z ((1 2 3))
```
ref: https://github.com/developmentseed/geojson-pydantic/issues/139
developmentseed-geojson-pydantic-f158682/docs/src/release-notes.md 0000777 0000000 0000000 00000000000 15165151064 0027502 2../../CHANGELOG.md ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/geojson_pydantic/ 0000775 0000000 0000000 00000000000 15165151064 0024000 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/geojson_pydantic/__init__.py 0000664 0000000 0000000 00000000700 15165151064 0026106 0 ustar 00root root 0000000 0000000 """geojson-pydantic."""
from .features import Feature, FeatureCollection # noqa
from .geometries import ( # noqa
GeometryCollection,
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
)
__version__ = "2.1.1"
__all__ = [
"Feature",
"FeatureCollection",
"GeometryCollection",
"LineString",
"MultiLineString",
"MultiPoint",
"MultiPolygon",
"Point",
"Polygon",
]
developmentseed-geojson-pydantic-f158682/geojson_pydantic/base.py 0000664 0000000 0000000 00000005766 15165151064 0025302 0 ustar 00root root 0000000 0000000 """pydantic BaseModel for GeoJSON objects."""
from __future__ import annotations
import warnings
from typing import Any, Dict, List, Optional, Set
from pydantic import BaseModel, SerializationInfo, field_validator, model_serializer
from geojson_pydantic.types import BBox
class _GeoJsonBase(BaseModel):
bbox: Optional[BBox] = None
# These fields will not be included when serializing in json mode
# `.model_dump_json()` or `.model_dump(mode="json")`
__geojson_exclude_if_none__: Set[str] = {"bbox"}
@property
def __geo_interface__(self) -> Dict[str, Any]:
"""GeoJSON-like protocol for geo-spatial (GIS) vector data.
ref: https://gist.github.com/sgillies/2217756#__geo_interface
"""
return self.model_dump(mode="json")
@field_validator("bbox")
def validate_bbox(cls, bbox: Optional[BBox]) -> Optional[BBox]:
"""Validate BBox values are ordered correctly."""
# If bbox is None, there is nothing to validate.
if bbox is None:
return None
# A list to store any errors found so we can raise them all at once.
errors: List[str] = []
# Determine where the second position starts. 2 for 2D, 3 for 3D.
offset = len(bbox) // 2
# Check X
if bbox[0] > bbox[offset]:
warnings.warn(
f"BBOX crossing the Antimeridian line, Min X ({bbox[0]}) > Max X ({bbox[offset]}).",
UserWarning,
stacklevel=1,
)
# Check Y
if bbox[1] > bbox[1 + offset]:
errors.append(f"Min Y ({bbox[1]}) must be <= Max Y ({bbox[1 + offset]}).")
# If 3D, check Z values.
if offset > 2 and bbox[2] > bbox[2 + offset]:
errors.append(f"Min Z ({bbox[2]}) must be <= Max Z ({bbox[2 + offset]}).")
# Raise any errors found.
if errors:
raise ValueError("Invalid BBox. Error(s): " + " ".join(errors))
return bbox
# This return is untyped due to a workaround until this issue is resolved:
# https://github.com/tiangolo/fastapi/discussions/10661
@model_serializer(when_used="always", mode="wrap")
def clean_model(self, serializer: Any, info: SerializationInfo): # type: ignore [no-untyped-def]
"""Custom Model serializer to match the GeoJSON specification.
Used to remove fields which are optional but cannot be null values.
"""
# This seems like the best way to have the least amount of unexpected consequences.
# We want to avoid forcing values in `exclude_none` or `exclude_unset` which could
# cause issues or unexpected behavior for downstream users.
# ref: https://github.com/pydantic/pydantic/issues/6575
data: Dict[str, Any] = serializer(self)
# Only remove fields when in JSON mode.
if info.mode_is_json():
for field in self.__geojson_exclude_if_none__:
if field in data and data[field] is None:
del data[field]
return data
developmentseed-geojson-pydantic-f158682/geojson_pydantic/features.py 0000664 0000000 0000000 00000002613 15165151064 0026172 0 ustar 00root root 0000000 0000000 """pydantic models for GeoJSON Feature objects."""
from typing import Any, Dict, Generic, Iterator, List, Literal, Optional, TypeVar, Union
from pydantic import BaseModel, Field, StrictInt, StrictStr, field_validator
from geojson_pydantic.base import _GeoJsonBase
from geojson_pydantic.geometries import Geometry
Props = TypeVar("Props", bound=Union[Dict[str, Any], BaseModel])
Geom = TypeVar("Geom", bound=Geometry)
class Feature(_GeoJsonBase, Generic[Geom, Props]):
"""Feature Model"""
type: Literal["Feature"]
geometry: Union[Geom, None] = Field(...)
properties: Union[Props, None] = Field(...)
id: Optional[Union[StrictInt, StrictStr]] = None
__geojson_exclude_if_none__ = {"bbox", "id"}
@field_validator("geometry", mode="before")
def set_geometry(cls, geometry: Any) -> Any:
"""set geometry from geo interface or input"""
if hasattr(geometry, "__geo_interface__"):
return geometry.__geo_interface__
return geometry
Feat = TypeVar("Feat", bound=Feature)
class FeatureCollection(_GeoJsonBase, Generic[Feat]):
"""FeatureCollection Model"""
type: Literal["FeatureCollection"]
features: List[Feat]
def iter(self) -> Iterator[Feat]:
"""iterate over features"""
return iter(self.features)
@property
def length(self) -> int:
"""return features length"""
return len(self.features)
developmentseed-geojson-pydantic-f158682/geojson_pydantic/geometries.py 0000664 0000000 0000000 00000030227 15165151064 0026521 0 ustar 00root root 0000000 0000000 """pydantic models for GeoJSON Geometry objects."""
from __future__ import annotations
import abc
import warnings
from typing import Any, Iterator, List, Literal, Union
from pydantic import Field, field_validator
from typing_extensions import Annotated, Self
from geojson_pydantic.base import _GeoJsonBase
from geojson_pydantic.types import (
LinearRing,
LineStringCoords,
MultiLineStringCoords,
MultiPointCoords,
MultiPolygonCoords,
PolygonCoords,
Position,
)
def _position_wkt_coordinates(coordinates: Position, force_z: bool = False) -> str:
"""Converts a Position to WKT Coordinates."""
wkt_coordinates = " ".join(str(number) for number in coordinates)
if force_z and len(coordinates) < 3:
wkt_coordinates += " 0.0"
return wkt_coordinates
def _position_has_z(position: Position) -> bool:
return len(position) == 3
def _position_list_wkt_coordinates(
coordinates: List[Position], force_z: bool = False
) -> str:
"""Converts a list of Positions to WKT Coordinates."""
return ", ".join(
_position_wkt_coordinates(position, force_z) for position in coordinates
)
def _position_list_has_z(positions: List[Position]) -> bool:
"""Checks if any position in a list has a Z."""
return any(_position_has_z(position) for position in positions)
def _lines_wtk_coordinates(
coordinates: List[LineStringCoords], force_z: bool = False
) -> str:
"""Converts lines to WKT Coordinates."""
return ", ".join(
f"({_position_list_wkt_coordinates(line, force_z)})" for line in coordinates
)
def _lines_has_z(lines: List[LineStringCoords]) -> bool:
"""Checks if any position in a list has a Z."""
return any(
_position_has_z(position) for positions in lines for position in positions
)
def _polygons_wkt_coordinates(
coordinates: List[PolygonCoords], force_z: bool = False
) -> str:
return ", ".join(
f"({_lines_wtk_coordinates(polygon, force_z)})" for polygon in coordinates
)
class _GeometryBase(_GeoJsonBase, abc.ABC):
"""Base class for geometry models"""
type: str
coordinates: Any
@abc.abstractmethod
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
...
@property
@abc.abstractmethod
def has_z(self) -> bool:
"""Checks if any coordinate has a Z value."""
...
@property
def wkt(self) -> str:
"""Return the Well Known Text representation."""
# Start with the WKT Type
wkt = self.type.upper()
has_z = self.has_z
if self.coordinates:
# If any of the coordinates have a Z add a "Z" to the WKT
wkt += " Z " if has_z else " "
# Add the rest of the WKT inside parentheses
wkt += f"({self.__wkt_coordinates__(self.coordinates, force_z=has_z)})"
else:
# Otherwise it will be "EMPTY"
wkt += " EMPTY"
return wkt
@classmethod
@abc.abstractmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
...
class Point(_GeometryBase):
"""Point Model"""
type: Literal["Point"]
coordinates: Position
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
return _position_wkt_coordinates(coordinates, force_z)
@property
def has_z(self) -> bool:
"""Checks if any coordinate has a Z value."""
return _position_has_z(self.coordinates)
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "Point")
return cls(type=t, **kwargs)
class MultiPoint(_GeometryBase):
"""MultiPoint Model"""
type: Literal["MultiPoint"]
coordinates: MultiPointCoords
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
return ", ".join(
f"({_position_wkt_coordinates(position, force_z)})"
for position in coordinates
)
@property
def has_z(self) -> bool:
"""Checks if any coordinate has a Z value."""
return _position_list_has_z(self.coordinates)
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "MultiPoint")
return cls(type=t, **kwargs)
class LineString(_GeometryBase):
"""LineString Model"""
type: Literal["LineString"]
coordinates: LineStringCoords
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
return _position_list_wkt_coordinates(coordinates, force_z)
@property
def has_z(self) -> bool:
"""Checks if any coordinate has a Z value."""
return _position_list_has_z(self.coordinates)
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "LineString")
return cls(type=t, **kwargs)
class MultiLineString(_GeometryBase):
"""MultiLineString Model"""
type: Literal["MultiLineString"]
coordinates: MultiLineStringCoords
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
return _lines_wtk_coordinates(coordinates, force_z)
@property
def has_z(self) -> bool:
"""Checks if any coordinate has a Z value."""
return _lines_has_z(self.coordinates)
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "MultiLineString")
return cls(type=t, **kwargs)
class Polygon(_GeometryBase):
"""Polygon Model"""
type: Literal["Polygon"]
coordinates: PolygonCoords
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
return _lines_wtk_coordinates(coordinates, force_z)
@field_validator("coordinates")
def check_closure(cls, coordinates: List) -> List:
"""Validate that Polygon is closed (first and last coordinate are the same)."""
if any(ring[-1] != ring[0] for ring in coordinates):
raise ValueError(
"All linear rings MUST have the same start and end coordinates"
)
return coordinates
@property
def exterior(self) -> Union[LinearRing, None]:
"""Return the exterior Linear Ring of the polygon."""
return self.coordinates[0] if self.coordinates else None
@property
def interiors(self) -> Iterator[LinearRing]:
"""Interiors (Holes) of the polygon."""
yield from (
interior for interior in self.coordinates[1:] if len(self.coordinates) > 1
)
@property
def has_z(self) -> bool:
"""Checks if any coordinates have a Z value."""
return _lines_has_z(self.coordinates)
@classmethod
def from_bounds(cls, xmin: float, ymin: float, xmax: float, ymax: float) -> Self:
"""Create a Polygon geometry from a boundingbox."""
return cls(
type="Polygon",
coordinates=[
[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax), (xmin, ymin)]
],
)
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "Polygon")
return cls(type=t, **kwargs)
class MultiPolygon(_GeometryBase):
"""MultiPolygon Model"""
type: Literal["MultiPolygon"]
coordinates: MultiPolygonCoords
def __wkt_coordinates__(self, coordinates: Any, force_z: bool) -> str:
"""return WKT coordinates."""
return _polygons_wkt_coordinates(coordinates, force_z)
@property
def has_z(self) -> bool:
"""Checks if any coordinates have a Z value."""
return any(_lines_has_z(polygon) for polygon in self.coordinates)
@field_validator("coordinates")
def check_closure(cls, coordinates: List) -> List:
"""Validate that Polygon is closed (first and last coordinate are the same)."""
if any(ring[-1] != ring[0] for polygon in coordinates for ring in polygon):
raise ValueError(
"All linear rings MUST have the same start and end coordinates"
)
return coordinates
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "MultiPolygon")
return cls(type=t, **kwargs)
class GeometryCollection(_GeoJsonBase):
"""GeometryCollection Model"""
type: Literal["GeometryCollection"]
geometries: List[Geometry]
def iter(self) -> Iterator[Geometry]:
"""iterate over geometries"""
return iter(self.geometries)
@property
def length(self) -> int:
"""return geometries length"""
return len(self.geometries)
@property
def wkt(self) -> str:
"""Return the Well Known Text representation."""
# Each geometry will check its own coordinates for Z and include "Z" in the wkt
# if necessary. Rather than looking at the coordinates for each of the geometries
# again, we can just get the wkt from each of them and check if there is a Z
# anywhere in the text.
# Get the wkt from each of the geometries in the collection
geometries = (
f"({', '.join(geom.wkt for geom in self.geometries)})"
if self.geometries
else "EMPTY"
)
# If any of them contain `Z` add Z to the output wkt
z = " Z " if "Z" in geometries else " "
return f"{self.type.upper()}{z}{geometries}"
@property
def has_z(self) -> bool:
"""Checks if any coordinates have a Z value."""
return any(geom.has_z for geom in self.geometries)
@field_validator("geometries")
def check_geometries(cls, geometries: List) -> List:
"""Add warnings for conditions the spec does not explicitly forbid."""
if len(geometries) == 1:
warnings.warn(
"GeometryCollection should not be used for single geometries.",
stacklevel=1,
)
if any(geom.type == "GeometryCollection" for geom in geometries):
warnings.warn(
"GeometryCollection should not be used for nested GeometryCollections.",
stacklevel=1,
)
if len({geom.type for geom in geometries}) == 1:
warnings.warn(
"GeometryCollection should not be used for homogeneous collections.",
stacklevel=1,
)
if len({geom.has_z for geom in geometries}) == 2:
raise ValueError("GeometryCollection cannot have mixed Z dimensionality.")
return geometries
@classmethod
def create(cls, **kwargs: Any) -> Self:
"""Create object from attributes."""
t = kwargs.pop("type", "GeometryCollection")
return cls(type=t, **kwargs)
Geometry = Annotated[
Union[
Point,
MultiPoint,
LineString,
MultiLineString,
Polygon,
MultiPolygon,
GeometryCollection,
],
Field(discriminator="type"),
]
GeometryCollection.model_rebuild()
def parse_geometry_obj(obj: Any) -> Geometry:
"""
`obj` is an object that is supposed to represent a GeoJSON geometry. This method returns the
reads the `"type"` field and returns the correct pydantic Geometry model.
"""
if "type" not in obj:
raise ValueError("Missing 'type' field in geometry")
if obj["type"] == "Point":
return Point.model_validate(obj)
elif obj["type"] == "MultiPoint":
return MultiPoint.model_validate(obj)
elif obj["type"] == "LineString":
return LineString.model_validate(obj)
elif obj["type"] == "MultiLineString":
return MultiLineString.model_validate(obj)
elif obj["type"] == "Polygon":
return Polygon.model_validate(obj)
elif obj["type"] == "MultiPolygon":
return MultiPolygon.model_validate(obj)
elif obj["type"] == "GeometryCollection":
return GeometryCollection.model_validate(obj)
raise ValueError(f"Unknown type: {obj['type']}")
developmentseed-geojson-pydantic-f158682/geojson_pydantic/py.typed 0000664 0000000 0000000 00000000000 15165151064 0025465 0 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/geojson_pydantic/types.py 0000664 0000000 0000000 00000001473 15165151064 0025523 0 ustar 00root root 0000000 0000000 """Types for geojson_pydantic models"""
from typing import List, NamedTuple, Tuple, Union
from pydantic import Field
from typing_extensions import Annotated
BBox = Union[
Tuple[float, float, float, float], # 2D bbox
Tuple[float, float, float, float, float, float], # 3D bbox
]
Position2D = NamedTuple("Position2D", [("longitude", float), ("latitude", float)])
Position3D = NamedTuple(
"Position3D", [("longitude", float), ("latitude", float), ("altitude", float)]
)
Position = Union[Position2D, Position3D]
# Coordinate arrays
LineStringCoords = Annotated[List[Position], Field(min_length=2)]
LinearRing = Annotated[List[Position], Field(min_length=4)]
MultiPointCoords = List[Position]
MultiLineStringCoords = List[LineStringCoords]
PolygonCoords = List[LinearRing]
MultiPolygonCoords = List[PolygonCoords]
developmentseed-geojson-pydantic-f158682/pyproject.toml 0000664 0000000 0000000 00000005306 15165151064 0023361 0 ustar 00root root 0000000 0000000 [project]
name = "geojson-pydantic"
description = "Pydantic data models for the GeoJSON spec."
readme = "README.md"
requires-python = ">=3.9"
license = {file = "LICENSE"}
authors = [
{name = "Drew Bollinger", email = "drew@developmentseed.org"},
]
keywords = ["geojson", "Pydantic"]
classifiers = [
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: GIS",
"Typing :: Typed",
]
dynamic = ["version"]
dependencies = ["pydantic~=2.0"]
[dependency-groups]
dev = [
"pytest",
"pytest-cov",
"shapely",
"pre-commit",
]
docs = [
"mkdocs>=1.4.3,<2.0",
"mkdocs-material>=9.5",
"pygments",
]
deploy = [
"hatch",
]
[project.urls]
Source = "https://github.com/developmentseed/geojson-pydantic"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.version]
path = "geojson_pydantic/__init__.py"
[tool.hatch.build.targets.sdist]
only-include = ["geojson_pydantic/"]
[tool.hatch.build.targets.wheel]
only-include = ["geojson_pydantic/"]
[tool.coverage.run]
branch = true
parallel = true
[tool.coverage.report]
exclude_lines = [
"no cov",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]
[tool.isort]
profile = "black"
known_first_party = ["geojson_pydantic"]
known_third_party = ["pydantic"]
default_section = "THIRDPARTY"
[tool.mypy]
plugins = ["pydantic.mypy"]
disallow_untyped_calls = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
warn_redundant_casts = true
warn_unused_ignores = true
no_implicit_optional = true
show_error_codes = true
[tool.ruff.lint]
select = [
"D1", # pydocstyle errors
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # flake8
"C", # flake8-comprehensions
"B", # flake8-bugbear
]
ignore = [
"E501", # line too long, handled by black
"B008", # do not perform function calls in argument defaults
"B905", # ignore zip() without an explicit strict= parameter, only support with python >3.10
]
[tool.ruff.lint.per-file-ignores]
"tests/*.py" = ["D1"]
[tool.bumpversion]
current_version = "2.1.1"
search = "{current_version}"
replace = "{new_version}"
regex = false
tag = true
commit = true
tag_name = "{new_version}"
[[tool.bumpversion.files]]
filename = "geojson_pydantic/__init__.py"
search = '__version__ = "{current_version}"'
replace = '__version__ = "{new_version}"'
developmentseed-geojson-pydantic-f158682/tests/ 0000775 0000000 0000000 00000000000 15165151064 0021603 5 ustar 00root root 0000000 0000000 developmentseed-geojson-pydantic-f158682/tests/test_base.py 0000664 0000000 0000000 00000006075 15165151064 0024136 0 ustar 00root root 0000000 0000000 from typing import Set, Tuple, Union
import pytest
from pydantic import Field, ValidationError
from geojson_pydantic.base import _GeoJsonBase
BBOXES = (
(0, 100, 0, 0),
(0, 0, 100, 0, 0, 0),
(0, "a", 0, 0), # Invalid Type
)
@pytest.mark.parametrize("values", BBOXES)
def test_bbox_validation(values: Tuple) -> None:
# Ensure validation is happening correctly on the base model
with pytest.raises(ValidationError):
_GeoJsonBase(bbox=values)
def test_bbox_antimeridian() -> None:
with pytest.warns(UserWarning):
_GeoJsonBase(bbox=(100, 0, 0, 0))
@pytest.mark.parametrize("values", BBOXES)
def test_bbox_validation_subclass(values: Tuple) -> None:
# Ensure validation is happening correctly when subclassed
class TestClass(_GeoJsonBase):
test_field: str = None
with pytest.raises(ValidationError):
TestClass(bbox=values)
@pytest.mark.parametrize("values", BBOXES)
def test_bbox_validation_field(values: Tuple) -> None:
# Ensure validation is happening correctly when used as a field
class TestClass(_GeoJsonBase):
geo: _GeoJsonBase
with pytest.raises(ValidationError):
TestClass(geo={"bbox": values})
def test_exclude_if_none() -> None:
model = _GeoJsonBase()
# Included in default dump
assert model.model_dump() == {"bbox": None}
# Not included when in json mode
assert model.model_dump(mode="json") == {}
# And not included in the output json string.
assert model.model_dump_json() == "{}"
# Included if it has a value
model = _GeoJsonBase(bbox=(0, 0, 0, 0))
assert model.model_dump() == {"bbox": (0, 0, 0, 0)}
assert model.model_dump(mode="json") == {"bbox": [0, 0, 0, 0]}
assert model.model_dump_json() == '{"bbox":[0.0,0.0,0.0,0.0]}'
# Since `validate_assignment` is not set, you can do this without an error.
# The solution should handle this and not just look at if the field is set.
model.bbox = None
assert model.model_dump() == {"bbox": None}
assert model.model_dump(mode="json") == {}
assert model.model_dump_json() == "{}"
def test_exclude_if_none_subclass() -> None:
# Create a subclass that adds a field, and ensure it works.
class TestClass(_GeoJsonBase):
test_field: str = None
__geojson_exclude_if_none__: Set[str] = {"bbox", "test_field"}
assert TestClass().model_dump_json() == "{}"
assert TestClass(test_field="a").model_dump_json() == '{"test_field":"a"}'
assert (
TestClass(bbox=(0, 0, 0, 0)).model_dump_json() == '{"bbox":[0.0,0.0,0.0,0.0]}'
)
def test_exclude_if_none_kwargs() -> None:
# Create a subclass that adds fields and dumps it with kwargs to ensure
# the kwargs are still being utilized.
class TestClass(_GeoJsonBase):
test_field: str = Field(default="test", alias="field")
null_field: Union[str, None] = None
model = TestClass(bbox=(0, 0, 0, 0))
assert (
model.model_dump_json(indent=2, by_alias=True, exclude_none=True)
== """{
"bbox": [
0.0,
0.0,
0.0,
0.0
],
"field": "test"
}"""
)
developmentseed-geojson-pydantic-f158682/tests/test_features.py 0000664 0000000 0000000 00000032541 15165151064 0025037 0 ustar 00root root 0000000 0000000 import json
from random import randint
from typing import Any, Dict
from uuid import uuid4
import pytest
from pydantic import BaseModel, ValidationError
from geojson_pydantic.features import Feature, FeatureCollection
from geojson_pydantic.geometries import (
Geometry,
GeometryCollection,
MultiPolygon,
Polygon,
)
class GenericProperties(BaseModel):
id: str
description: str
size: int
properties: Dict[str, Any] = {
"id": str(uuid4()),
"description": str(uuid4()),
"size": randint(0, 1000),
}
coordinates = [
[
[13.38272, 52.46385],
[13.42786, 52.46385],
[13.42786, 52.48445],
[13.38272, 52.48445],
[13.38272, 52.46385],
]
]
polygon: Dict[str, Any] = {
"type": "Polygon",
"coordinates": coordinates,
}
multipolygon: Dict[str, Any] = {
"type": "MultiPolygon",
"coordinates": [coordinates],
}
geom_collection: Dict[str, Any] = {
"type": "GeometryCollection",
"geometries": [polygon, multipolygon],
}
test_feature: Dict[str, Any] = {
"type": "Feature",
"geometry": polygon,
"properties": properties,
"bbox": [13.38272, 52.46385, 13.42786, 52.48445],
}
test_feature_geom_null: Dict[str, Any] = {
"type": "Feature",
"geometry": None,
"properties": properties,
}
test_feature_geometry_collection: Dict[str, Any] = {
"type": "Feature",
"geometry": geom_collection,
"properties": properties,
}
@pytest.mark.parametrize(
"obj",
[
FeatureCollection,
Feature,
],
)
def test_pydantic_schema(obj):
"""Test schema for Pydantic Object."""
assert obj.model_json_schema()
def test_feature_collection_iteration():
"""test if feature collection is iterable"""
gc = FeatureCollection(
type="FeatureCollection", features=[test_feature, test_feature]
)
assert hasattr(gc, "__geo_interface__")
assert list(iter(gc))
assert len(list(gc.iter())) == 2
assert dict(gc)
def test_geometry_collection_iteration():
"""test if feature collection is iterable"""
gc = FeatureCollection(
type="FeatureCollection", features=[test_feature_geometry_collection]
)
assert hasattr(gc, "__geo_interface__")
assert list(iter(gc))
assert len(list(gc.iter())) == 1
assert dict(gc)
def test_generic_properties_is_dict():
feature = Feature(**test_feature)
assert hasattr(feature, "__geo_interface__")
assert feature.properties["id"] == test_feature["properties"]["id"]
assert isinstance(feature.properties, dict)
assert not hasattr(feature.properties, "id")
def test_generic_properties_is_dict_collection():
feature = Feature(**test_feature_geometry_collection)
assert hasattr(feature, "__geo_interface__")
assert (
feature.properties["id"] == test_feature_geometry_collection["properties"]["id"]
)
assert isinstance(feature.properties, dict)
assert not hasattr(feature.properties, "id")
def test_generic_properties_is_object():
feature = Feature[Geometry, GenericProperties](**test_feature)
assert feature.properties.id == test_feature["properties"]["id"]
assert isinstance(feature.properties, GenericProperties)
assert hasattr(feature.properties, "id")
def test_generic_geometry():
feature = Feature[Polygon, GenericProperties](**test_feature)
assert feature.properties.id == test_feature_geometry_collection["properties"]["id"]
assert isinstance(feature.geometry, Polygon)
assert isinstance(feature.properties, GenericProperties)
assert hasattr(feature.properties, "id")
feature = Feature[Polygon, Dict](**test_feature)
assert isinstance(feature.geometry, Polygon)
assert feature.properties["id"] == test_feature["properties"]["id"]
assert isinstance(feature.properties, dict)
assert not hasattr(feature.properties, "id")
with pytest.raises(ValidationError):
Feature[MultiPolygon, Dict](**({"type": "Feature", "geometry": polygon}))
def test_generic_geometry_collection():
feature = Feature[GeometryCollection, GenericProperties](
**test_feature_geometry_collection
)
assert feature.properties.id == test_feature_geometry_collection["properties"]["id"]
assert isinstance(feature.geometry, GeometryCollection)
assert feature.geometry.wkt.startswith("GEOMETRYCOLLECTION (POLYGON ")
assert isinstance(feature.properties, GenericProperties)
assert hasattr(feature.properties, "id")
feature = Feature[GeometryCollection, Dict](**test_feature_geometry_collection)
assert isinstance(feature.geometry, GeometryCollection)
assert (
feature.properties["id"] == test_feature_geometry_collection["properties"]["id"]
)
assert isinstance(feature.properties, dict)
assert not hasattr(feature.properties, "id")
with pytest.raises(ValidationError):
Feature[MultiPolygon, Dict](**({"type": "Feature", "geometry": polygon}))
def test_generic_properties_should_raise_for_string():
with pytest.raises(ValidationError):
Feature(
**({"type": "Feature", "geometry": polygon, "properties": "should raise"})
)
def test_feature_collection_generic():
fc = FeatureCollection[Feature[Polygon, GenericProperties]](
type="FeatureCollection", features=[test_feature, test_feature]
)
assert fc.length == 2
assert len(list(fc.iter())) == 2
assert isinstance(fc.features[0].properties, GenericProperties)
assert isinstance(fc.features[0].geometry, Polygon)
assert dict(fc)
def test_geo_interface_protocol():
class Pointy:
__geo_interface__ = {"type": "Point", "coordinates": (0.0, 0.0)}
feat = Feature(type="Feature", geometry=Pointy(), properties={})
assert feat.geometry.model_dump(exclude_unset=True) == Pointy.__geo_interface__
def test_feature_with_null_geometry():
feature = Feature(**test_feature_geom_null)
assert feature.geometry is None
def test_feature_geo_interface_with_null_geometry():
feature = Feature(**test_feature_geom_null)
assert "bbox" not in feature.__geo_interface__
def test_feature_collection_geo_interface_with_null_geometry():
fc = FeatureCollection(
type="FeatureCollection", features=[test_feature_geom_null, test_feature]
)
assert "bbox" not in fc.__geo_interface__
assert "bbox" not in fc.__geo_interface__["features"][0]
assert "bbox" in fc.__geo_interface__["features"][1]
@pytest.mark.parametrize("id", ["a", 1, "1"])
def test_feature_id(id):
"""Test if a string stays a string and if an int stays an int."""
feature = Feature(**test_feature, id=id)
assert feature.id == id
@pytest.mark.parametrize("id", [True, 1.0])
def test_bad_feature_id(id):
"""make sure it raises error."""
with pytest.raises(ValidationError):
Feature(**test_feature, id=id)
def test_feature_validation():
"""Test default."""
assert Feature(type="Feature", properties=None, geometry=None)
assert Feature(type="Feature", properties=None, geometry=None, bbox=None)
with pytest.raises(ValidationError):
# should be type=Feature
Feature(type="feature", properties=None, geometry=None)
with pytest.raises(ValidationError):
# missing type
Feature(properties=None, geometry=None)
with pytest.raises(ValidationError):
# missing properties
Feature(type="Feature", geometry=None)
with pytest.raises(ValidationError):
# missing geometry
Feature(type="Feature", properties=None)
assert Feature(
type="Feature", properties=None, bbox=(0, 0, 100, 100), geometry=None
)
assert Feature(
type="Feature", properties=None, bbox=(0, 0, 0, 100, 100, 100), geometry=None
)
with pytest.raises(ValidationError):
# bad bbox2d
Feature(type="Feature", properties=None, bbox=(0, 100, 100, 0), geometry=None)
with pytest.raises(ValidationError):
# bad bbox3d
Feature(
type="Feature",
properties=None,
bbox=(0, 100, 100, 100, 0, 0),
geometry=None,
)
# Antimeridian
with pytest.warns(UserWarning):
Feature(type="Feature", properties=None, bbox=(100, 0, 0, 100), geometry=None)
with pytest.warns(UserWarning):
Feature(
type="Feature",
properties=None,
bbox=(100, 0, 0, 0, 100, 100),
geometry=None,
)
def test_bbox_validation():
# Some attempts at generic validation did not validate the types within
# bbox before passing them to the function and resulted in TypeErrors.
# This test exists to ensure that doesn't happen in the future.
with pytest.raises(ValidationError):
Feature(
type="Feature",
properties=None,
bbox=(0, "a", 0, 1, 1, 1),
geometry=None,
)
def test_feature_validation_error_count():
# Tests that validation does not include irrelevant errors to make them
# easier to read. The input below used to raise 18 errors.
# See #93 for more details.
with pytest.raises(ValidationError):
try:
Feature(
type="Feature",
geometry=Polygon(
type="Polygon",
coordinates=[
[
(-55.9947406591177, -9.26104045526505),
(-55.9976752102375, -9.266589696568962),
(-56.00200328975916, -9.264041751931352),
(-55.99899921566248, -9.257935213034594),
(-55.99477406591177, -9.26103945526505),
]
],
),
properties={},
)
except ValidationError as e:
assert e.error_count() == 1
raise
def test_feature_serializer():
f = Feature(
**{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": coordinates,
},
"properties": {},
"id": "Yo",
"bbox": [13.38272, 52.46385, 13.42786, 52.48445],
}
)
assert "bbox" in f.model_dump()
assert "id" in f.model_dump()
# Exclude
assert "bbox" not in f.model_dump(exclude={"bbox"})
assert "bbox" not in list(json.loads(f.model_dump_json(exclude={"bbox"})).keys())
# Include
assert ["bbox"] == list(f.model_dump(include={"bbox"}).keys())
assert ["bbox"] == list(json.loads(f.model_dump_json(include={"bbox"})).keys())
feat_ser = json.loads(f.model_dump_json())
assert "bbox" in feat_ser
assert "id" in feat_ser
assert "bbox" not in feat_ser["geometry"]
f = Feature(
**{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": coordinates,
},
"properties": {},
}
)
# BBOX Should'nt be present if `None`
# https://github.com/developmentseed/geojson-pydantic/issues/125
assert "bbox" in f.model_dump()
feat_ser = json.loads(f.model_dump_json())
assert "bbox" not in feat_ser
assert "id" not in feat_ser
assert "bbox" not in feat_ser["geometry"]
f = Feature(
**{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": coordinates,
"bbox": [13.38272, 52.46385, 13.42786, 52.48445],
},
"properties": {},
}
)
feat_ser = json.loads(f.model_dump_json())
assert "bbox" not in feat_ser
assert "id" not in feat_ser
assert "bbox" in feat_ser["geometry"]
def test_feature_collection_serializer():
fc = FeatureCollection(
**{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": coordinates,
"bbox": [13.38272, 52.46385, 13.42786, 52.48445],
},
"properties": {},
"bbox": [13.38272, 52.46385, 13.42786, 52.48445],
}
],
"bbox": [13.38272, 52.46385, 13.42786, 52.48445],
}
)
assert "bbox" in fc.model_dump()
# Exclude
assert "bbox" not in fc.model_dump(exclude={"bbox"})
assert "bbox" not in list(json.loads(fc.model_dump_json(exclude={"bbox"})).keys())
# Include
assert ["bbox"] == list(fc.model_dump(include={"bbox"}).keys())
assert ["bbox"] == list(json.loads(fc.model_dump_json(include={"bbox"})).keys())
featcoll_ser = json.loads(fc.model_dump_json())
assert "bbox" in featcoll_ser
assert "bbox" in featcoll_ser["features"][0]
assert "bbox" in featcoll_ser["features"][0]["geometry"]
fc = FeatureCollection(
**{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": coordinates,
},
"properties": {},
}
],
}
)
assert "bbox" in fc.model_dump()
featcoll_ser = json.loads(fc.model_dump_json())
assert "bbox" not in featcoll_ser
assert "bbox" not in featcoll_ser["features"][0]
assert "bbox" not in featcoll_ser["features"][0]["geometry"]
developmentseed-geojson-pydantic-f158682/tests/test_geometries.py 0000664 0000000 0000000 00000077737 15165151064 0025404 0 ustar 00root root 0000000 0000000 import json
import pytest
import shapely
from pydantic import ValidationError
from geojson_pydantic.geometries import (
Geometry,
GeometryCollection,
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
parse_geometry_obj,
)
@pytest.mark.parametrize(
"obj",
[
GeometryCollection,
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
],
)
def test_pydantic_schema(obj):
"""Test schema for Pydantic Object."""
assert obj.model_json_schema()
@pytest.mark.parametrize("coordinates", [(1.01, 2.01), (1.0, 2.0, 3.0), (1.0, 2.0)])
def test_point_valid_coordinates(coordinates):
"""
Two or three number elements as coordinates should be okay
"""
p = Point(type="Point", coordinates=coordinates)
assert p.type == "Point"
assert p.coordinates == coordinates
assert hasattr(p, "__geo_interface__")
@pytest.mark.parametrize(
"coordinates",
[(1.0,), (1.0, 2.0, 3.0, 4.0), "Foo", (None, 2.0), (1.0, (2.0,)), (), [], None],
)
def test_point_invalid_coordinates(coordinates):
"""
Too few or to many elements should not, nor weird data types
"""
with pytest.raises(ValidationError):
Point(type="Point", coordinates=coordinates)
@pytest.mark.parametrize(
"coordinates",
[
# Empty array
[],
# No Z
[(1.0, 2.0)],
[(1.0, 2.0), (1.0, 2.0)],
# Has Z
[(1.0, 2.0, 3.0), (1.0, 2.0, 3.0)],
# Mixed
[(1.0, 2.0), (1.0, 2.0, 3.0)],
],
)
def test_multi_point_valid_coordinates(coordinates):
"""
Two or three number elements as coordinates should be okay, as well as an empty array.
"""
p = MultiPoint(type="MultiPoint", coordinates=coordinates)
assert p.type == "MultiPoint"
assert p.coordinates == coordinates
assert hasattr(p, "__geo_interface__")
@pytest.mark.parametrize(
"coordinates",
[[(1.0,)], [(1.0, 2.0, 3.0, 4.0)], ["Foo"], [(None, 2.0)], [(1.0, (2.0,))], None],
)
def test_multi_point_invalid_coordinates(coordinates):
"""
Too few or to many elements should not, nor weird data types
"""
with pytest.raises(ValidationError):
MultiPoint(type="MultiPoint", coordinates=coordinates)
@pytest.mark.parametrize(
"coordinates",
[
# Two Points, no Z
[(1.0, 2.0), (3.0, 4.0)],
# Three Points, no Z
[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0)],
# Two Points, has Z
[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)],
# Shapely doesn't like mixed here
],
)
def test_line_string_valid_coordinates(coordinates):
"""
A list of two coordinates or more should be okay
"""
linestring = LineString(type="LineString", coordinates=coordinates)
assert linestring.type == "LineString"
assert linestring.coordinates == coordinates
assert hasattr(linestring, "__geo_interface__")
@pytest.mark.parametrize("coordinates", [None, "Foo", [], [(1.0, 2.0)], ["Foo", "Bar"]])
def test_line_string_invalid_coordinates(coordinates):
"""
But we don't accept non-list inputs, too few coordinates, or bogus coordinates
"""
with pytest.raises(ValidationError):
LineString(type="LineString", coordinates=coordinates)
@pytest.mark.parametrize(
"coordinates",
[
# Empty array
[],
# One line, two points, no Z
[[(1.0, 2.0), (3.0, 4.0)]],
# One line, two points, has Z
[[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)]],
# One line, three points, no Z
[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0)]],
# Two lines, two points each, no Z
[[(1.0, 2.0), (3.0, 4.0)], [(0.0, 0.0), (1.0, 1.0)]],
# Two lines, two points each, has Z
[[(1.0, 2.0, 0.0), (3.0, 4.0, 1.0)], [(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)]],
# Mixed
[[(1.0, 2.0), (3.0, 4.0)], [(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)]],
],
)
def test_multi_line_string_valid_coordinates(coordinates):
"""
A list of two coordinates or more should be okay
"""
multilinestring = MultiLineString(type="MultiLineString", coordinates=coordinates)
assert multilinestring.type == "MultiLineString"
assert multilinestring.coordinates == coordinates
assert hasattr(multilinestring, "__geo_interface__")
@pytest.mark.parametrize(
"coordinates", [None, [None], ["Foo"], [[]], [[(1.0, 2.0)]], [["Foo", "Bar"]]]
)
def test_multi_line_string_invalid_coordinates(coordinates):
"""
But we don't accept non-list inputs, too few coordinates, or bogus coordinates
"""
with pytest.raises(ValidationError):
MultiLineString(type="MultiLineString", coordinates=coordinates)
@pytest.mark.parametrize(
"coordinates",
[
# Empty array
[],
# Polygon, no Z
[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]],
# Polygon, has Z
[[(0.0, 0.0, 0.0), (1.0, 1.0, 0.0), (1.0, 0.0, 0.0), (0.0, 0.0, 0.0)]],
],
)
def test_polygon_valid_coordinates(coordinates):
"""
Should accept lists of linear rings
"""
polygon = Polygon(type="Polygon", coordinates=coordinates)
assert polygon.type == "Polygon"
assert polygon.coordinates == coordinates
assert hasattr(polygon, "__geo_interface__")
if polygon.coordinates:
assert polygon.exterior == coordinates[0]
else:
assert polygon.exterior is None
assert not list(polygon.interiors)
@pytest.mark.parametrize(
"coordinates",
[
# Polygon with holes, no Z
[
[(0.0, 0.0), (0.0, 10.0), (10.0, 10.0), (10.0, 0.0), (0.0, 0.0)],
[(2.0, 2.0), (2.0, 4.0), (4.0, 4.0), (4.0, 2.0), (2.0, 2.0)],
],
# Polygon with holes, has Z
[
[
(0.0, 0.0, 0.0),
(0.0, 10.0, 0.0),
(10.0, 10.0, 0.0),
(10.0, 0.0, 0.0),
(0.0, 0.0, 0.0),
],
[
(2.0, 2.0, 1.0),
(2.0, 4.0, 1.0),
(4.0, 4.0, 1.0),
(4.0, 2.0, 1.0),
(2.0, 2.0, 1.0),
],
],
# Mixed
[
[(0.0, 0.0), (0.0, 10.0), (10.0, 10.0), (10.0, 0.0), (0.0, 0.0)],
[
(2.0, 2.0, 2.0),
(2.0, 4.0, 0.0),
(4.0, 4.0, 0.0),
(4.0, 2.0, 0.0),
(2.0, 2.0, 2.0),
],
],
],
)
def test_polygon_with_holes(coordinates):
"""Check interior and exterior rings."""
polygon = Polygon(type="Polygon", coordinates=coordinates)
assert polygon.type == "Polygon"
assert hasattr(polygon, "__geo_interface__")
assert polygon.exterior == polygon.coordinates[0]
assert list(polygon.interiors) == [polygon.coordinates[1]]
@pytest.mark.parametrize(
"coordinates",
[
"foo",
None,
[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)], "foo", None],
[[(1.0, 2.0), (3.0, 4.0), (1.0, 2.0)]],
[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (7.0, 8.0)]],
],
)
def test_polygon_invalid_coordinates(coordinates):
"""
Should not accept when:
- Coordinates is not a list
- Not all elements in coordinates are lists
- If not all elements have four or more coordinates
- If not all elements are linear rings
"""
with pytest.raises(ValidationError):
Polygon(type="Polygon", coordinates=coordinates)
@pytest.mark.parametrize(
"coordinates",
[
# Empty array
[],
# Multipolygon, no Z
[
[
[(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0), (0.0, 0.0)],
[(2.1, 2.1), (2.2, 2.1), (2.2, 2.2), (2.1, 2.2), (2.1, 2.1)],
]
],
# Multipolygon, has Z
[
[
[
(0.0, 0.0, 4.0),
(1.0, 0.0, 4.0),
(1.0, 1.0, 4.0),
(0.0, 1.0, 4.0),
(0.0, 0.0, 4.0),
],
[
(2.1, 2.1, 4.0),
(2.2, 2.1, 4.0),
(2.2, 2.2, 4.0),
(2.1, 2.2, 4.0),
(2.1, 2.1, 4.0),
],
]
],
# Mixed
[
[
[(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0), (0.0, 0.0)],
[
(2.1, 2.1, 2.1),
(2.2, 2.1, 2.0),
(2.2, 2.2, 2.2),
(2.1, 2.2, 2.3),
(2.1, 2.1, 2.1),
],
]
],
],
)
def test_multi_polygon(coordinates):
"""Should accept sequence of polygons."""
multi_polygon = MultiPolygon(type="MultiPolygon", coordinates=coordinates)
assert multi_polygon.type == "MultiPolygon"
assert hasattr(multi_polygon, "__geo_interface__")
@pytest.mark.parametrize(
"coordinates",
[
"foo",
None,
[
[
[(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0), (0.0, 0.0)],
],
[
[(2.1, 2.1), (2.2, 2.1), (2.2, 2.2), (2.1, 4.2)],
],
],
],
)
def test_multipolygon_invalid_coordinates(coordinates):
with pytest.raises(ValidationError):
MultiPolygon(type="MultiPolygon", coordinates=coordinates)
def test_parse_geometry_obj_point():
assert parse_geometry_obj({"type": "Point", "coordinates": [102.0, 0.5]}) == Point(
type="Point", coordinates=(102.0, 0.5)
)
@pytest.mark.parametrize(
"geojson_pydantic_model",
(
GeometryCollection,
LineString,
MultiLineString,
MultiPoint,
MultiPolygon,
Point,
Polygon,
),
)
def test_schema_consistency(geojson_pydantic_model):
"""Test to check that the schema is the same for validation and serialization"""
assert geojson_pydantic_model.model_json_schema(
mode="validation"
) == geojson_pydantic_model.model_json_schema(mode="serialization")
def test_parse_geometry_obj_multi_point():
assert parse_geometry_obj(
{"type": "MultiPoint", "coordinates": [[100.0, 0.0], [101.0, 1.0]]}
) == MultiPoint(type="MultiPoint", coordinates=[(100.0, 0.0), (101.0, 1.0)])
def test_parse_geometry_obj_line_string():
assert parse_geometry_obj(
{
"type": "LineString",
"coordinates": [[102.0, 0.0], [103.0, 1.0], [104.0, 0.0], [105.0, 1.0]],
}
) == LineString(
type="LineString",
coordinates=[(102.0, 0.0), (103.0, 1.0), (104.0, 0.0), (105.0, 1.0)],
)
def test_parse_geometry_obj_multi_line_string():
assert parse_geometry_obj(
{
"type": "MultiLineString",
"coordinates": [[[100.0, 0.0], [101.0, 1.0]], [[102.0, 2.0], [103.0, 3.0]]],
}
) == MultiLineString(
type="MultiLineString",
coordinates=[[(100.0, 0.0), (101.0, 1.0)], [(102.0, 2.0), (103.0, 3.0)]],
)
def test_parse_geometry_obj_polygon():
assert parse_geometry_obj(
{
"type": "Polygon",
"coordinates": [
[[100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0]]
],
}
) == Polygon(
type="Polygon",
coordinates=[
[(100.0, 0.0), (101.0, 0.0), (101.0, 1.0), (100.0, 1.0), (100.0, 0.0)]
],
)
def test_parse_geometry_obj_multi_polygon():
assert parse_geometry_obj(
{
"type": "MultiPolygon",
"coordinates": [
[
[
[102.0, 2.0],
[103.0, 2.0],
[103.0, 3.0],
[102.0, 3.0],
[102.0, 2.0],
]
],
[
[
[100.0, 0.0],
[101.0, 0.0],
[101.0, 1.0],
[100.0, 1.0],
[100.0, 0.0],
],
[
[100.2, 0.2],
[100.8, 0.2],
[100.8, 0.8],
[100.2, 0.8],
[100.2, 0.2],
],
],
],
}
) == MultiPolygon(
type="MultiPolygon",
coordinates=[
[[(102.0, 2.0), (103.0, 2.0), (103.0, 3.0), (102.0, 3.0), (102.0, 2.0)]],
[
[(100.0, 0.0), (101.0, 0.0), (101.0, 1.0), (100.0, 1.0), (100.0, 0.0)],
[(100.2, 0.2), (100.8, 0.2), (100.8, 0.8), (100.2, 0.8), (100.2, 0.2)],
],
],
)
def test_parse_geometry_obj_geometry_collection():
assert parse_geometry_obj(
{
"type": "GeometryCollection",
"geometries": [
{"type": "Point", "coordinates": [102.0, 0.5]},
{"type": "MultiPoint", "coordinates": [[100.0, 0.0], [101.0, 1.0]]},
],
}
) == GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=(102.0, 0.5)),
MultiPoint(type="MultiPoint", coordinates=[(100.0, 0.0), (101.0, 1.0)]),
],
)
def test_parse_geometry_obj_invalid_type():
with pytest.raises(ValueError):
parse_geometry_obj({"type": "This type", "obviously": "doesn't exist"})
with pytest.raises(ValueError):
parse_geometry_obj({"type": "", "obviously": "doesn't exist"})
with pytest.raises(ValueError):
parse_geometry_obj({})
def test_parse_geometry_obj_invalid_point():
"""
litmus test that invalid geometries don't get parsed
"""
with pytest.raises(ValidationError):
parse_geometry_obj(
{"type": "Point", "coordinates": ["not", "valid", "coordinates"]}
)
@pytest.mark.parametrize(
"coordinates", [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]]
)
def test_geometry_collection_iteration(coordinates):
"""test if geometry collection is iterable"""
polygon = Polygon(type="Polygon", coordinates=coordinates)
multipolygon = MultiPolygon(type="MultiPolygon", coordinates=[coordinates])
gc = GeometryCollection(
type="GeometryCollection", geometries=[polygon, multipolygon]
)
assert hasattr(gc, "__geo_interface__")
assert len(list(gc.iter())) == 2
assert list(iter(gc))
@pytest.mark.parametrize(
"coordinates", [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]]
)
def test_len_geometry_collection(coordinates):
"""test if GeometryCollection return self leng"""
polygon = Polygon(type="Polygon", coordinates=coordinates)
multipolygon = MultiPolygon(type="MultiPolygon", coordinates=[coordinates])
gc = GeometryCollection(
type="GeometryCollection", geometries=[polygon, multipolygon]
)
assert gc.length == 2
assert len(list(gc.iter())) == 2
assert dict(gc)
assert list(iter(gc))
@pytest.mark.parametrize(
"coordinates", [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]]
)
def test_getitem_geometry_collection(coordinates):
"""test if GeometryCollection is subscriptable"""
polygon = Polygon(type="Polygon", coordinates=coordinates)
multipolygon = MultiPolygon(type="MultiPolygon", coordinates=[coordinates])
gc = GeometryCollection(
type="GeometryCollection", geometries=[polygon, multipolygon]
)
assert polygon == gc.geometries[0]
assert multipolygon == gc.geometries[1]
def test_wkt_mixed_geometry_collection():
point = Point(type="Point", coordinates=(0.0, 0.0, 0.0))
line_string = LineString(
type="LineString", coordinates=[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)]
)
assert (
GeometryCollection(
type="GeometryCollection", geometries=[point, line_string]
).wkt
== "GEOMETRYCOLLECTION Z (POINT Z (0.0 0.0 0.0), LINESTRING Z (0.0 0.0 0.0, 1.0 1.0 1.0))"
)
def test_wkt_empty_geometry_collection():
assert (
GeometryCollection(type="GeometryCollection", geometries=[]).wkt
== "GEOMETRYCOLLECTION EMPTY"
)
def test_geometry_collection_warnings():
point = Point(type="Point", coordinates=(0.0, 0.0, 0.0))
line_string_z = LineString(
type="LineString", coordinates=[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)]
)
line_string = LineString(type="LineString", coordinates=[(0.0, 0.0), (1.0, 1.0)])
# one geometry
with pytest.warns(
UserWarning,
match="GeometryCollection should not be used for single geometries.",
):
GeometryCollection(
type="GeometryCollection",
geometries=[
point,
],
)
# collections of collections
with pytest.warns(
UserWarning,
match="GeometryCollection should not be used for nested GeometryCollections.",
):
GeometryCollection(
type="GeometryCollection",
geometries=[
GeometryCollection(
type="GeometryCollection", geometries=[point, line_string_z]
),
point,
],
)
# homogeneous (Z) geometry
with pytest.raises(ValidationError):
GeometryCollection(type="GeometryCollection", geometries=[point, line_string])
def test_polygon_from_bounds():
"""Result from `from_bounds` class method should be the same."""
coordinates = [[(1.0, 2.0), (3.0, 2.0), (3.0, 4.0), (1.0, 4.0), (1.0, 2.0)]]
assert Polygon(type="Polygon", coordinates=coordinates) == Polygon.from_bounds(
1.0, 2.0, 3.0, 4.0
)
def test_wkt_name():
"""Make sure WKT name is derived from geometry Type."""
class PointType(Point): ...
assert (
PointType(type="Point", coordinates=(1.01, 2.01)).wkt
== Point(type="Point", coordinates=(1.01, 2.01)).wkt
)
@pytest.mark.parametrize(
"coordinates,expected",
[
((0, 0), False),
((0, 0, 0), True),
],
)
def test_point_has_z(coordinates, expected):
assert Point(type="Point", coordinates=coordinates).has_z == expected
@pytest.mark.parametrize(
"coordinates,expected",
[
([(0, 0)], False),
([(0, 0), (1, 1)], False),
([(0, 0), (1, 1, 1)], True),
([(0, 0, 0)], True),
([(0, 0, 0), (1, 1)], True),
],
)
def test_multipoint_has_z(coordinates, expected):
assert MultiPoint(type="MultiPoint", coordinates=coordinates).has_z == expected
@pytest.mark.parametrize(
"coordinates,expected",
[
([(0, 0), (1, 1)], False),
([(0, 0), (1, 1, 1)], True),
([(0, 0, 0), (1, 1, 1)], True),
([(0, 0, 0), (1, 1)], True),
],
)
def test_linestring_has_z(coordinates, expected):
assert LineString(type="LineString", coordinates=coordinates).has_z == expected
@pytest.mark.parametrize(
"coordinates,expected",
[
([[(0, 0), (1, 1)]], False),
([[(0, 0), (1, 1)], [(0, 0), (1, 1)]], False),
([[(0, 0), (1, 1)], [(0, 0, 0), (1, 1)]], True),
([[(0, 0), (1, 1)], [(0, 0), (1, 1, 1)]], True),
([[(0, 0), (1, 1, 1)]], True),
([[(0, 0, 0), (1, 1, 1)]], True),
([[(0, 0, 0), (1, 1)]], True),
([[(0, 0, 0), (1, 1, 1)], [(0, 0, 0), (1, 1, 1)]], True),
],
)
def test_multilinestring_has_z(coordinates, expected):
assert (
MultiLineString(type="MultiLineString", coordinates=coordinates).has_z
== expected
)
@pytest.mark.parametrize(
"coordinates,expected",
[
([[(0, 0), (1, 1), (2, 2), (0, 0)]], False),
([[(0, 0), (1, 1), (2, 2, 2), (0, 0)]], True),
([[(0, 0), (1, 1), (2, 2), (0, 0)], [(0, 0), (1, 1), (2, 2), (0, 0)]], False),
(
[[(0, 0), (1, 1), (2, 2), (0, 0)], [(0, 0), (1, 1), (2, 2, 2), (0, 0)]],
True,
),
([[(0, 0, 0), (1, 1, 1), (2, 2, 2), (0, 0, 0)]], True),
(
[
[(0, 0, 0), (1, 1, 1), (2, 2, 2), (0, 0, 0)],
[(0, 0), (1, 1), (2, 2), (0, 0)],
],
True,
),
],
)
def test_polygon_has_z(coordinates, expected):
assert Polygon(type="Polygon", coordinates=coordinates).has_z == expected
@pytest.mark.parametrize(
"coordinates,expected",
[
([[[(0, 0), (1, 1), (2, 2), (0, 0)]]], False),
([[[(0, 0), (1, 1), (2, 2, 2), (0, 0)]]], True),
(
[[[(0, 0), (1, 1), (2, 2), (0, 0)]], [[(0, 0), (1, 1), (2, 2), (0, 0)]]],
False,
),
(
[
[[(0, 0), (1, 1), (2, 2), (0, 0)]],
[
[(0, 0), (1, 1), (2, 2), (0, 0)],
[(0, 0, 0), (1, 1, 1), (2, 2, 2), (0, 0, 0)],
],
],
True,
),
(
[[[(0, 0), (1, 1), (2, 2), (0, 0)]], [[(0, 0), (1, 1), (2, 2, 2), (0, 0)]]],
True,
),
([[[(0, 0, 0), (1, 1, 1), (2, 2, 2), (0, 0, 0)]]], True),
(
[
[[(0, 0, 0), (1, 1, 1), (2, 2, 2), (0, 0, 0)]],
[[(0, 0), (1, 1), (2, 2), (0, 0)]],
],
True,
),
],
)
def test_multipolygon_has_z(coordinates, expected):
assert MultiPolygon(type="MultiPolygon", coordinates=coordinates).has_z == expected
@pytest.mark.parametrize(
"shape",
[
MultiPoint,
MultiLineString,
Polygon,
MultiPolygon,
],
)
def test_wkt_empty(shape):
assert shape(type=shape.__name__, coordinates=[]).wkt.endswith(" EMPTY")
def test_wkt_empty_geometrycollection():
assert GeometryCollection(type="GeometryCollection", geometries=[]).wkt.endswith(
" EMPTY"
)
@pytest.mark.parametrize(
"wkt",
(
"POINT (0.0 0.0)",
# "POINT EMPTY" does not result in valid GeoJSON
"POINT Z (0.0 0.0 0.0)",
"MULTIPOINT ((0.0 0.0))",
"MULTIPOINT Z ((0.0 0.0 0.0))",
"MULTIPOINT ((0.0 0.0), (1.0 1.0))",
"MULTIPOINT Z ((0.0 0.0 0.0), (1.0 1.0 1.0))",
"MULTIPOINT EMPTY",
"LINESTRING (0.0 0.0, 1.0 1.0, 2.0 2.0)",
"LINESTRING Z (0.0 0.0 0.0, 1.0 1.0 1.0, 2.0 2.0 2.0)",
# "LINESTRING EMPTY" does not result in valid GeoJSON
"MULTILINESTRING ((0.0 0.0, 1.0 1.0))",
"MULTILINESTRING ((0.0 0.0, 1.0 1.0), (1.0 1.0, 2.0 2.0))",
"MULTILINESTRING Z ((0.0 0.0 0.0, 1.0 1.0 1.0))",
"MULTILINESTRING Z ((0.0 0.0 0.0, 1.0 1.0 1.0), (1.0 1.0 1.0, 2.0 2.0 2.0))",
"MULTILINESTRING EMPTY",
"POLYGON ((0.0 0.0, 1.0 1.0, 2.0 2.0, 3.0 3.0, 0.0 0.0))",
"POLYGON ((0.0 0.0, 4.0 0.0, 4.0 4.0, 0.0 4.0, 0.0 0.0), (1.0 1.0, 1.0 2.0, 2.0 2.0, 2.0 1.0, 1.0 1.0))",
"POLYGON Z ((0.0 0.0 0.0, 1.0 1.0 0.0, 2.0 2.0 0.0, 3.0 3.0 0.0, 0.0 0.0 0.0))",
"POLYGON Z ((0.0 0.0 0.0, 4.0 0.0 0.0, 4.0 4.0 0.0, 0.0 4.0 0.0, 0.0 0.0 0.0), (1.0 1.0 0.0, 1.0 2.0 0.0, 2.0 2.0 0.0, 2.0 1.0 0.0, 1.0 1.0 0.0))",
"POLYGON EMPTY",
"MULTIPOLYGON (((0.0 0.0, 1.0 1.0, 2.0 2.0, 3.0 3.0, 0.0 0.0)))",
"MULTIPOLYGON (((0.0 0.0, 1.0 1.0, 2.0 2.0, 3.0 3.0, 0.0 0.0)), ((1.0 1.0, 2.0 2.0, 3.0 3.0, 4.0 4.0, 1.0 1.0)))",
"MULTIPOLYGON Z (((0.0 0.0 0.0, 1.0 1.0 0.0, 2.0 2.0 0.0, 3.0 3.0 0.0, 0.0 0.0 0.0)))",
"MULTIPOLYGON Z (((0.0 0.0 0.0, 1.0 1.0 0.0, 2.0 2.0 0.0, 3.0 3.0 0.0, 0.0 0.0 0.0)), ((1.0 1.0 0.0, 2.0 2.0 0.0, 3.0 3.0 0.0, 4.0 4.0 0.0, 1.0 1.0 0.0)))",
"MULTIPOLYGON EMPTY",
"GEOMETRYCOLLECTION (POINT (0.0 0.0))",
"GEOMETRYCOLLECTION (POLYGON EMPTY, MULTIPOLYGON (((0.0 0.0, 1.0 1.0, 2.0 2.0, 3.0 3.0, 0.0 0.0))))",
"GEOMETRYCOLLECTION (POINT (0.0 0.0), MULTIPOINT ((0.0 0.0), (1.0 1.0)))",
"GEOMETRYCOLLECTION Z (POLYGON Z ((0.0 0.0 0.0, 1.0 1.0 0.0, 2.0 2.0 0.0, 3.0 3.0 0.0, 0.0 0.0 0.0)), MULTIPOLYGON Z (((0.0 0.0 0.0, 1.0 1.0 0.0, 2.0 2.0 0.0, 3.0 3.0 0.0, 0.0 0.0 0.0))))",
"GEOMETRYCOLLECTION EMPTY",
),
)
def test_wkt(wkt: str):
# Use Shapely to parse the input WKT so we know it is parsable by other tools.
# Then load it into a Geometry and ensure the output WKT is the same as the input.
assert parse_geometry_obj(shapely.from_wkt(wkt).__geo_interface__).wkt == wkt
@pytest.mark.parametrize(
"geom",
(
Point(type="Point", coordinates=[0, 0], bbox=[0, 0, 0, 0]),
Point(type="Point", coordinates=[0, 0]),
MultiPoint(type="MultiPoint", coordinates=[(0.0, 0.0)], bbox=[0, 0, 0, 0]),
MultiPoint(type="MultiPoint", coordinates=[(0.0, 0.0)]),
LineString(
type="LineString", coordinates=[(0.0, 0.0), (1.0, 1.0)], bbox=[0, 0, 1, 1]
),
LineString(type="LineString", coordinates=[(0.0, 0.0), (1.0, 1.0)]),
MultiLineString(
type="MultiLineString",
coordinates=[[(0.0, 0.0), (1.0, 1.0)]],
bbox=[0, 0, 1, 1],
),
MultiLineString(type="MultiLineString", coordinates=[[(0.0, 0.0), (1.0, 1.0)]]),
Polygon(
type="Polygon",
coordinates=[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]],
bbox=[1.0, 2.0, 5.0, 6.0],
),
Polygon(
type="Polygon",
coordinates=[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]],
),
MultiPolygon(
type="MultiPolygon",
coordinates=[[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]],
bbox=[1.0, 2.0, 5.0, 6.0],
),
MultiPolygon(
type="MultiPolygon",
coordinates=[[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]],
),
),
)
def test_geometry_serializer(geom: Geometry):
# bbox should always be in the dictionary version of the model
# but should only be in the JSON version if not None
assert "bbox" in geom.model_dump()
if geom.bbox is not None:
assert "bbox" in geom.model_dump_json()
else:
assert "bbox" not in geom.model_dump_json()
def test_geometry_collection_serializer():
geom = GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0]),
LineString(type="LineString", coordinates=[(0.0, 0.0), (1.0, 1.0)]),
],
)
assert not geom.has_z
# bbox will be in the Dict
assert "bbox" in geom.model_dump()
assert "bbox" in geom.model_dump()["geometries"][0]
geom = GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0, 0]),
LineString(
type="LineString", coordinates=[(0.0, 0.0, 0.0), (1.0, 1.0, 1.0)]
),
],
)
assert geom.has_z
# bbox should not be in any Geometry nor at the top level
geom_ser = json.loads(geom.model_dump_json())
assert "bbox" not in geom_ser
assert "bbox" not in geom_ser["geometries"][0]
assert "bbox" not in geom_ser["geometries"][0]
geom = GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0], bbox=[0, 0, 0, 0]),
LineString(type="LineString", coordinates=[(0.0, 0.0), (1.0, 1.0)]),
],
)
# bbox not in the top level but in the first geometry (point)
geom_ser = json.loads(geom.model_dump_json())
assert "bbox" not in geom_ser
assert "bbox" in geom_ser["geometries"][0]
assert "bbox" not in geom_ser["geometries"][1]
geom = GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0], bbox=[0, 0, 0, 0]),
LineString(
type="LineString",
coordinates=[(0.0, 0.0), (1.0, 1.0)],
bbox=[0, 0, 1, 1],
),
],
)
geom_ser = json.loads(geom.model_dump_json())
assert "bbox" not in geom_ser
assert "bbox" in geom_ser["geometries"][0]
assert "bbox" in geom_ser["geometries"][1]
geom = GeometryCollection(
type="GeometryCollection",
geometries=[
Point(type="Point", coordinates=[0, 0]),
LineString(type="LineString", coordinates=[(0.0, 0.0), (1.0, 1.0)]),
],
bbox=[0, 0, 1, 1],
)
geom_ser = json.loads(geom.model_dump_json())
assert "bbox" in geom_ser
assert "bbox" not in geom_ser["geometries"][0]
assert "bbox" not in geom_ser["geometries"][1]
@pytest.mark.parametrize(
"obj,kwargs",
(
(Point, {"coordinates": [0, 0], "bbox": [0, 0, 0, 0]}),
(Point, {"coordinates": [0, 0]}),
(Point, {"type": "Point", "coordinates": [0, 0]}),
(MultiPoint, {"coordinates": [(0.0, 0.0)], "bbox": [0, 0, 0, 0]}),
(MultiPoint, {"coordinates": [(0.0, 0.0)]}),
(MultiPoint, {"type": "MultiPoint", "coordinates": [(0.0, 0.0)]}),
(LineString, {"coordinates": [(0.0, 0.0), (1.0, 1.0)], "bbox": [0, 0, 1, 1]}),
(LineString, {"coordinates": [(0.0, 0.0), (1.0, 1.0)]}),
(LineString, {"type": "LineString", "coordinates": [(0.0, 0.0), (1.0, 1.0)]}),
(MultiLineString, {"coordinates": [[(0.0, 0.0), (1.0, 1.0)]]}),
(
MultiLineString,
{"coordinates": [[(0.0, 0.0), (1.0, 1.0)]], "bbox": [0, 0, 1, 1]},
),
(
MultiLineString,
{
"type": "MultiLineString",
"coordinates": [[(0.0, 0.0), (1.0, 1.0)]],
},
),
(
Polygon,
{
"coordinates": [[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]],
"bbox": [1.0, 2.0, 5.0, 6.0],
},
),
(Polygon, {"coordinates": [[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]}),
(
Polygon,
{
"type": "Polygon",
"coordinates": [[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]],
},
),
(
MultiPolygon,
{
"coordinates": [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]],
"bbox": [1.0, 2.0, 5.0, 6.0],
},
),
(
MultiPolygon,
{"coordinates": [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]]},
),
(
MultiPolygon,
{
"type": "MultiPolygon",
"coordinates": [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]],
},
),
(
GeometryCollection,
{
"geometries": [
{"type": "Point", "coordinates": [0, 0]},
{"type": "MultiPoint", "coordinates": [[1, 1]]},
]
},
),
(
GeometryCollection,
{
"type": "GeometryCollection",
"geometries": [
{"type": "Point", "coordinates": [0, 0]},
{"type": "MultiPoint", "coordinates": [[1, 1]]},
],
},
),
),
)
def test_geometry_create(obj, kwargs):
"""Test Geometry object create with new."""
assert obj.create(**kwargs)
@pytest.mark.parametrize(
"obj,kwargs",
(
(Point, {"type": "P", "coordinates": [0, 0]}),
(MultiPoint, {"type": "M", "coordinates": [(0.0, 0.0)]}),
(LineString, {"type": "L", "coordinates": [(0.0, 0.0), (1.0, 1.0)]}),
(
MultiLineString,
{
"type": "M",
"coordinates": [[(0.0, 0.0), (1.0, 1.0)]],
},
),
(
Polygon,
{
"type": "P",
"coordinates": [[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]],
},
),
(
MultiPolygon,
{
"type": "M",
"coordinates": [[[(1.0, 2.0), (3.0, 4.0), (5.0, 6.0), (1.0, 2.0)]]],
},
),
(
GeometryCollection,
{
"type": "G",
"geometries": [
{"type": "Point", "coordinates": [0, 0]},
{"type": "MultiPoint", "coordinates": [[1, 1]]},
],
},
),
),
)
def test_geometry_new_invalid(obj, kwargs):
"""raise ValidationError with type is invalid."""
with pytest.raises(ValidationError):
obj.create(**kwargs)
developmentseed-geojson-pydantic-f158682/tests/test_package.py 0000664 0000000 0000000 00000000577 15165151064 0024620 0 ustar 00root root 0000000 0000000 import geojson_pydantic
def test_import_namespace():
"""We have exposed all of the public objects via __all__"""
assert sorted(geojson_pydantic.__all__) == [
"Feature",
"FeatureCollection",
"GeometryCollection",
"LineString",
"MultiLineString",
"MultiPoint",
"MultiPolygon",
"Point",
"Polygon",
]
developmentseed-geojson-pydantic-f158682/tests/test_types.py 0000664 0000000 0000000 00000003042 15165151064 0024357 0 ustar 00root root 0000000 0000000 import pytest
from geojson_pydantic.types import Position2D, Position3D
@pytest.mark.parametrize("coordinates", [(1, 2), (1.0, 2.0), (1.01, 2.01)])
def test_position2d_valid_coordinates(coordinates):
"""
Two number elements as coordinates should be okay
"""
p = Position2D(longitude=coordinates[0], latitude=coordinates[1])
assert p[0] == coordinates[0]
assert p[1] == coordinates[1]
assert p.longitude == coordinates[0]
assert p.latitude == coordinates[1]
assert p == coordinates
p = Position2D(*coordinates)
assert p[0] == coordinates[0]
assert p[1] == coordinates[1]
assert p.longitude == coordinates[0]
assert p.latitude == coordinates[1]
assert p == coordinates
@pytest.mark.parametrize(
"coordinates", [(1, 2, 3), (1.0, 2.0, 3.0), (1.01, 2.01, 3.01)]
)
def test_position3d_valid_coordinates(coordinates):
"""
Three number elements as coordinates should be okay
"""
p = Position3D(
longitude=coordinates[0], latitude=coordinates[1], altitude=coordinates[2]
)
assert p[0] == coordinates[0]
assert p[1] == coordinates[1]
assert p[2] == coordinates[2]
assert p.longitude == coordinates[0]
assert p.latitude == coordinates[1]
assert p.altitude == coordinates[2]
assert p == coordinates
p = Position3D(*coordinates)
assert p[0] == coordinates[0]
assert p[1] == coordinates[1]
assert p[2] == coordinates[2]
assert p.longitude == coordinates[0]
assert p.latitude == coordinates[1]
assert p.altitude == coordinates[2]
developmentseed-geojson-pydantic-f158682/uv.lock 0000664 0000000 0000000 00001267423 15165151064 0021764 0 ustar 00root root 0000000 0000000 version = 1
revision = 3
requires-python = ">=3.9"
resolution-markers = [
"python_full_version >= '3.11'",
"python_full_version == '3.10.*'",
"python_full_version < '3.10'",
]
[options]
exclude-newer = "2026-04-04T09:11:49.996092Z"
exclude-newer-span = "P3D"
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
]
[[package]]
name = "babel"
version = "2.18.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" },
]
[[package]]
name = "backrefs"
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