landez : tiles post-processing

Some weeks ago, I started to refactor landez (timidly).
But smart caching and post-processing of WMS maps were expected in my last project, so it gave me
a great boost : Landez 2.0 has landed ! :)

The base code is much clearer, and a few new features came out ! Among them, the ability to
apply image filters to your maps !

Grayscale conversion

Not the funniest one of course, but quite handy to highlight map content !

from landez import MBTilesBuilder
from landez.filters import GrayScale

overlay = MBTilesBuilder()
overlay.add_filter(GrayScale())

Color to Alpha

If the tiles you overlay are mainly white, they might make your background layer brighter.
Therefore, adding a filter replacing white by transparent will nicely blend your
top layer without lightening the global result :


from landez import TilesManager, ImageExporter
from landez.filters import ColorToAlpha

overlay = TilesManager(tiles_url='http://an.osm.mirror.org/{z}/{x}/{y}.png')
overlay.add_filter(ColorToAlpha('#ffffff'))

orthophoto = ImageExporter(wms_server='http://server/wms',
                           wms_layers=['orthophoto'])
orthophoto.add_layer(overlay)

Continuous Integration

A Travis job was setup and allows
me to improve the testing strictness :)

The Travis configuration has some kind of magic, just drop one file and enable the hook in your Github repo :

language: python
python:
  - 2.6
  - 2.7
install:
  - pip install Pillow
  - python setup.py develop
script:  python -m landez.tests

Next steps...

I hope to get the opportunity to develop new post-processing filters, as pretty as those
coming-up in MapBox Tilemill !

PerryGeo wrote python-mbtiles
which might be a good candidate for low-level access of MBTiles content.
I like the idea of a common python stack for reading and writing, it is not very clear to
me which one will emerge as the best one though...

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