Skip to main content

OGC Web Service utility library

Project description

OWSLib

Build License Chat

Overview

OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

Full documentation is available at https://owslib.readthedocs.io

OWSLib provides a common API for accessing service metadata and wrappers for numerous OGC Web Service interfaces.

Installation

The easiest way to install pywis-pubsub is via the Python pip utility:

pip3 install OWSLib

Requirements

Dependencies

Dependencies are listed in requirements.txt. Dependencies are automatically installed during OWSLib installation.

Installing OWSLib

# setup virtualenv
python3 -m venv owslib
cd owslib
source bin/activate

# clone codebase and install
git clone https://github.com/geopython/OWSLib.git
cd OWSLib
python3 setup.py install

Running

Find out what a WMS has to offer. Service metadata:

>>> from owslib.wms import WebMapService
>>> wms = WebMapService('http://wms.jpl.nasa.gov/wms.cgi', version='1.1.1')
>>> wms.identification.type
'OGC:WMS'
>>> wms.identification.version
'1.1.1'
>>> wms.identification.title
'JPL Global Imagery Service'
>>> wms.identification.abstract
'WMS Server maintained by JPL, worldwide satellite imagery.'

Available layers::

    >>> list(wms.contents)
    ['us_landsat_wgs84', 'modis', 'global_mosaic_base', 'huemapped_srtm',
    'srtm_mag', 'daily_terra', 'us_ned', 'us_elevation', 'global_mosaic',
    'daily_terra_ndvi', 'daily_aqua_ndvi', 'daily_aqua_721', 'daily_planet',
    'BMNG', 'srtmplus', 'us_colordem', None, 'daily_aqua', 'worldwind_dem',
    'daily_terra_721']

Details of a layer::

    >>> wms['global_mosaic'].title
    'WMS Global Mosaic, pan sharpened'
    >>> wms['global_mosaic'].boundingBoxWGS84
    (-180.0, -60.0, 180.0, 84.0)
    >>> wms['global_mosaic'].crsOptions
    ['EPSG:4326', 'AUTO:42003']
    >>> wms['global_mosaic'].styles
    {'pseudo_bright': {'title': 'Pseudo-color image (Uses IR and Visual bands,
    542 mapping), gamma 1.5'}, 'pseudo': {'title': '(default) Pseudo-color
    image, pan sharpened (Uses IR and Visual bands, 542 mapping), gamma 1.5'},
    'visual': {'title': 'Real-color image, pan sharpened (Uses the visual
    bands, 321 mapping), gamma 1.5'}, 'pseudo_low': {'title': 'Pseudo-color
    image, pan sharpened (Uses IR and Visual bands, 542 mapping)'},
    'visual_low': {'title': 'Real-color image, pan sharpened (Uses the visual
    bands, 321 mapping)'}, 'visual_bright': {'title': 'Real-color image (Uses
    the visual bands, 321 mapping), gamma 1.5'}}

Available methods, their URLs, and available formats::

    >>> [op.name for op in wms.operations]
    ['GetTileService', 'GetCapabilities', 'GetMap']
    >>> wms.getOperationByName('GetMap').methods
    {'Get': {'url': 'http://wms.jpl.nasa.gov/wms.cgi?'}}
    >>> wms.getOperationByName('GetMap').formatOptions
    ['image/jpeg', 'image/png', 'image/geotiff', 'image/tiff']

That's everything needed to make a request for imagery::

    >>> img = wms.getmap(   layers=['global_mosaic'],
    ...                     styles=['visual_bright'],
    ...                     srs='EPSG:4326',
    ...                     bbox=(-112, 36, -106, 41),
    ...                     size=(300, 250),
    ...                     format='image/jpeg',
    ...                     transparent=True
    ...                     )
    >>> out = open('jpl_mosaic_visb.jpg', 'wb')
    >>> out.write(img.read())
    >>> out.close()

A very similar API exists for WebFeatureService. See tests/wfs_MapServerWFSCapabilities.txt for details.

There is also support for Web Coverage Service (WCS), Catalogue Service for the Web (CSW), Web Processing Service (WPS), and Web Map Tile Service (WMTS). Some of those are beta quality.

Logging

OWSLib logs messages to the 'owslib' named python logger. You may configure your application to use the log messages like so:

    >>> import logging
    >>> owslib_log = logging.getLogger('owslib')
    >>> # Add formatting and handlers as needed, for example to log to the console
    >>> ch = logging.StreamHandler()
    >>> ch.setLevel(logging.DEBUG)
    >>> ch.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s'))
    >>> # add the handler to the logger
    >>> owslib_log.addHandler(ch)
    >>> owslib_log.setLevel(logging.DEBUG)

Releasing

  # update version
  vi owslib/__init__.py
  git commit -m 'update release version' owslib/__init__.py
  # push changes
  git push origin master
  git tag -a x.y.z -m 'tagging OWSLib release x.y.z'
  # push tag
  git push --tags
  # update on PyPI (must be a maintainer)
  rm -fr build dist *.egg-info
  python setup.py sdist bdist_wheel --universal
  twine upload dist/*

Support

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

OWSLib-0.30.0.tar.gz (175.4 kB view details)

Uploaded Source

Built Distribution

OWSLib-0.30.0-py2.py3-none-any.whl (222.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file OWSLib-0.30.0.tar.gz.

File metadata

  • Download URL: OWSLib-0.30.0.tar.gz
  • Upload date:
  • Size: 175.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for OWSLib-0.30.0.tar.gz
Algorithm Hash digest
SHA256 f17413cc75836c0303cd1d4fd9bb0f21915a8b492dacc64ef5f4021b28e82d4c
MD5 4d9b4de2bb6e180fcc4f8daa1d772c0e
BLAKE2b-256 12e750b7f966e0a709db2afe3eb466b0da8a63be2f2a3c6630c8c3bf76a7486b

See more details on using hashes here.

File details

Details for the file OWSLib-0.30.0-py2.py3-none-any.whl.

File metadata

  • Download URL: OWSLib-0.30.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 222.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for OWSLib-0.30.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 88277cf674ded604596af5c04eb2a17c6846dfe8bcfb7a5dc9ab50b3ef5f1385
MD5 aa71883e1707930dd24b9879124a82f2
BLAKE2b-256 82e58e2606352a44571d9e351159a2d35045705a140908c3f3f78949c6b14320

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page