wkp 0.0.2

Well Known Polylines - fast, compact, string geometry encoding based on Google Polylines algorithm[](https://github.com/kodonnell/wkp)

WKP - Well Known Polylines

WKP is a simple encoding format for geometries that is:

• String based (unlike WKB) which is handy for transmitting to frontend etc.
• Small and fast:
  • WKT is generally 10x larger and 20x slower[^1].
  • WKB is generally 4x larger and 1.5-2x slower[^1].
• Based on the Google Polyline algorithm but supports:
  • More coordinates e.g. Z.
  • Customisable precision whereas polylines only supports 5 d.p. This allows using coordinate systems other than WGS84.
  • Encoding polygons (as sequences of polylines).

[^1]: From python .\benchmark\benchmark.py --linestring-points=10000 the realistic data from the nz-coast source has WKB: .72ms / 156kb, WKT (full precision): 8.24ms / 380kb, WKP: .45ms / 43kb. This assumes 5dp encoding (standard for Google Polyline) and that the WKT is exported at full-precision not truncated to 5dp (because this is the default behaviour when you just call geom.wkt in shapely).

Install

pip install wkp

Example

from shapely import LineString
from wkp import GeometryEncoder

linestring = LineString([(1, 2), (3, 4), (5, 6)])
encoder = GeometryEncoder(dimensions=2, precision=5)
print(encoder.encode(linestring)) # 01050202_ibE_seK_seK_seK_seK_seK

(Single-threaded) Benchmarks

From python .\benchmark\benchmark.py --linestring-points=10000

Method	Source	WKB (kb)	Encode (ms)	Encode (kb)	Decode (ms)	Total (ms)
shapely_wkb	nz-coast	156.3	0.600	156.3	0.121	0.721
shapely_wkt	nz-coast	156.3	2.088	379.7	6.153	8.241
shapely_wkt_5dp	nz-coast	156.3	1.386	202.8	2.940	4.326
wkp-5p-bytes	nz-coast	156.3	0.256	42.9	0.200	0.456
wkp-5p-str	nz-coast	156.3	0.257	42.9	0.188	0.445
shapely_wkb	random	156.3	0.560	156.3	0.107	0.667
shapely_wkt	random	156.3	2.046	378.4	5.636	7.682
shapely_wkt_5dp	random	156.3	2.015	163.9	3.870	5.885
wkp-5p-bytes	random	156.3	0.369	72.0	0.271	0.640
wkp-5p-str	random	156.3	0.313	72.0	0.241	0.554

Other features

• Slightly faster encode_bytes path. Useful if you're e.g. writing straight to a file you can open as wb instead of opening as w and then .decode('ascii') before writing.
• Utilising functions like wkp.encode_floats - these can be used to encode non-geometry data e.g. encode waypoints with timestamps i.e. wkp.encode_floats([(x0, y0, t0), (x1, y1, t1), ...]).

Developing

git clone --recursive https://github.com/kodonnell/wkp/
USE_CYTHON=1 pip install -e .[dev]
pytest .

We use cibuildwheel to build all the wheels, which runs in a Github action. If you want to check this succeeds locally, you can try (untested):

cibuildwheel --platform linux .

Finally, when you're happy, submit a PR.

Publishing

When you're on main on your local, git tag vX.X.X then git push origin vX.X.X. This pushes the tag which triggers the full GitHub Action and:

• Builds source distribution and wheels (for various platforms)
• Pushes to PyPI
• Creates a new release with the appropriate artifacts attached.

What's up with ./src?

See here and here. I didn't read all of it, but yeh, import wkp is annoying when there's also a folder called wkp.

USE_CYTHON=1?

See here. Fair point.

TODO

• javascript support and add to npm.
• Make benchmark.py a CLI in setup.py?
• setuptools_scm_git_archive?
• Code completion with stubs?