We are finally ready to announce the release of MapProxy 0.9.0. It contains lots of major and minor improvements.
The latest release is available at: http://pypi.python.org/pypi/MapProxy
To upgrade within your virtualenv:
$ pip install MapProxy
Updated documentation is available at: https://mapproxy.org/docs/0.9.0/
Some noteworthy improvements are:
MapProxy now comes with a demo service that lists all configured WMS and TMS layers. You can test each layer with a simple OpenLayers client at /demo.
https://mapproxy.org/docs/0.9.0/services.html#mapproxy-demo-service
A biggest and most apparent change is the configuration format. MapProxy still uses YAML as a configuration format, but the structure changed a bit.
Some benefits of the new configuration: Most global options, like image resampling and meta_size, are now configurable for each cache; you can now reuse parts of the configuration, like grid or source definitions; and there is now a single configuration file instead of two (service.yaml and proxy.yaml).
There is a small migration guide that should help to update your configuration. https://mapproxy.org/docs/0.9.0/migrate.html
Oh, and in case you didn't know, YAML is compatible with JSON. So you can use JSON for the configuration if you like.
We removed two dependencies that required a C compiler. The only dependency that still requires compilation is the Python Image Library (PIL). If you use PIL from your system distribution (python-imaging on Debian/Ubuntu) you will no longer need a compiler during installation.
We switched the templates away from Jinja2 to Tempita, a minimal Python-only template engine. It is a bit slower, but it is only used for capability documents, so the WMS and TMS performance is not affected.
The other dependency which required compilation was pyproj. We we added a wrapper to MapProxy that directly uses libproj, the Proj4 C-library. libproj is available on most systems and should already be installed when you use software like MapServer or PostGIS. There is a fallback to pyproj, i.e. you can still use the binary distribution of pyproj on Windows.
