wfs20 0.2.2

Description:

wfs20 0.2.2

wfs20: Small library for requesting geospatial data (WFS)
What is it?
wfs20 is a small library with the sole purpose of making it easy
on the user to request geospatial data from a WebFeatureService.
wfs20 only caters to the 2.0.0 version of the WebFeatureService
for now. wfs20 will be expanded in the future to also contain the
1.0.0 and 1.1.0 version of the WebFeatureService.
Where to get it?
Source code is available at this repository on Github:
https://github.com/B-Dalmijn/WFS20
The package can be installed from:
# PyPI
pip install wfs20

What can it do?
Some of its functionality is listed below:

Get the capabilities and metadata of/from the service

# service
from wfs20 import WebFeatureService
wfs = WebFeatureService(url)

# metadata
wfs.Constraints
wfs.FeatureTypes
wfs.FeatureTypeMeta
wfs.GetCapabilitiesMeta
wfs.GetFeatureMeta
wfs.Keywords


Request geospatial data from the service

reader = wfs.RequestData("<layer>",(x1,y1,x2,y2),proj_code)
# proj_code is the projection code corresponding with the geospatial data
# to be requested and the given bbox (x1,y1,x2,y2)

The returned reader object holds the geospatial data and
subsequent metadata


Export the requested data to the harddrive, as long as there is
data in the reader object

# to gml
wfs.ToFile("<folder>",format="gml")

# to ESRI ShapeFile
wfs.ToFile("<folder>",format="shp")



It is completely modular, so if you know the capabilities of the service,
you don't really need to use the WebFeatureService class
E.g.


from wfs20.crs import CRS
from wfs20.reader import DataReader
from wfs20.request import CreateGetRequest

crs = CRS.from_epsg(epsg)

url = CreateGetRequest(
service_url,
version,
featuretype,
bbox,
crs
)

reader = DataReader(url,keyword)

keyword is in general the Title of the featuretype, e.g. 'bag:pand' -> keyword is 'pand'
Where again you have a reader object holding the geospatial data


Both GET and POST requests are supported, though wfs20.RequestData only supports GET request
url and POST request data can however be implemented in the DataReader

from wfs20.request import CreatePostRequest

url,data = CreatePostRequest(
url,
version,
featuretype,
bbox,
crs
)

reader = DataReader(url,keyword,method="POST",data=data)

Again one would have a reader object holding the acquired geospatial data.
Dependencies

[requests: HTTP library]
[lxml: XML parsing library]

Additional packages
These packages improve the functionality wfs20 package

[GDAL: Geospatial Data Abstraction Library]

GDAL can either be installed from the conda repository via:
conda install gdal

Or from a wheel (.whl) file. Wheel files for GDAL are very kindly made by
Christoph Gohlke and are in the releases of this repository on github.
The newest GDAL wheel file of Gohlke will always be in the newest release of wfs20 on github.
Simply install the wheel file with pip:
# GDAL 3.6.2 for python 3.10
pip install GDAL-3.6.2-cp310-cp310-win_amd64.whl

License
BSD 3
Questions/ suggestions/ requests/ bugs?
Send an email to [email protected]