# wkbparse
`wkbparse` is a Python module written in Rust for parsing [EWKB](https://postgis.net/docs/using_postgis_dbmanagement.html#EWKB_EWKT) and [TWKB](https://github.com/TWKB/Specification/blob/master/twkb.md) geometries into GeoJSON strings or GeoJSON-like Python dictionaries in a performant fashion.
Original EWKB/TWKB encoding code forked from [https://github.com/Mortal/rust-ewkb](Mortal/rust-ewkb) which in turn originates from [https://github.com/andelf/rust-postgis](andelf/rust-postgis).
`wkbparse` is developed mainly for usage with PostGIS and has been tested with geometries generated with one. However, it has no explicit dependencies towards PostgreSQL or PostGIS and can be used with EWKB/TWKB geometries originating from any system. In such case it is advisable to validate results carefully before using for anything serious.
It supports reading and writing ZM geometries as well, even though GeoJSON specification doesn't really recognize the M coordinate. The M coordinate is simply output as the fourth coordinate in a vertex. Respectively, input GeoJSON dictionaries with four coordinates in a vertex are treated as ZM geometries.
## Motivation
The main rationale behind this library is to offload compute related to geometry encoding from the database to the application and to minimize data transfer between them. This can be achieved by favoring native EWKB geometries or better-yet the transfer-optimized TWKB-geometries instead of making the database encode the data in some text-based format such as WKT or GeoJSON and sending that over the wire.
The benefits may be especially noticeable when dealing with large geometries with lots of vertices. E.g. the size of a 300 000 vertex multipolygon as EWKB is ~10 MB while as TWKB (1 cm precision) it is ~2 MB. Letting the database encode such geometry as GeoJSON and transferring it over the wire takes a long time (anecdotally way longer than a typical API timeout). Deserializing such MultiPolygon using `wkbparse` takes ~150 ms on an AMD Ryzen 4900 HS laptop and the transfer of TWKB is much quicker than of the other formats.
## Installation
Pre-built wheels are available for the following platforms and python versions:
Python versions: `[3.8, 3.9, 3.10, 3.11, 3.12]`
Platforms: Linux `[x86_64, x86, aarch64, armv7, s390x, ppc64le]`, Windows: `[x64, x86]`, MacOS: `[x86_64, aarch64]`
Install by saying `pip install wkbparse`.
Supported python version is >=3.8.
Tested on Python versions 3.8, 3.9, 3.10, 3.11 on Linux x86_64.
## Usage
This module implements the following functionalities:
- TWKB to GeoJSON dictionary: `twkb_to_geojson`
- TWKB to EWKB: `twkb_to_ewkb`
- EWKB to GeoJSON dictionary: `ewkb_to_geojson`
- GeoJSON dictionary to EWKB: `geojson_to_ewkb`
The following is not currently implemented:
- Support for GeometryCollection types
- Encoding any data in TWKB
Example:
```python
import wkbparse
twkb_bytes = bytes.fromhex("610805d00fa01f50")
geometry = wkbparse.twkb_to_geojson(twkb_bytes)
print(geometry)
```
The resulting dict looks like:
```
{
type: str # GeoJSON geometry type
crs: Optional[int] # Spatial reference system identifier
coordinates: list[float] # nesting depth depending on geometry type
}
```
When serializing to GeoJSON strings directly, the `crs` is instead expressed as dictated by the GeoJSON spec using a nested dict, e.g.:
```
{
"crs": {
"type": "name",
"properties": {
"name": "EPSG:4326" # The number is the SRID integer above
}
}
}
```
Raw data
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