A more efficient way to obtain a metric series for a large number
of activities, it can be converted to numpy array without copy:
import numpy as np
nparray = np.asarray(GC.metrics("Average_Power", True, "isRun=0 && isSwim=0")
.. instead of an opengl canvas lets start with a Web canvas.
.. we might have options to use QtCharts or OpenGL later.
.. not working - committed to save WIP.
.. start of API to work with ride data, exposing the raw
sample data via the buffer protocol python api and SIP
.. adds utility functions that will ultimately be wrapped
inside a python class/function:
GC.series(n) - return series data as a python array
GC.seriesName(n) - return string describing series data
GC.seriesLast() - returns int for last series type
GC.seriesPresent(n) - returns True if series in ride
.. example of using these functions in python to create a
dict object collecting all available data:
activity = {}
for x in range(0, GC.seriesLast()):
if (GC.seriesPresent(x)):
activity[GC.seriesName(x)] = GC.series(x)
.. simple examples, lots of generated code changes which is
not very helpful.
.. but the only files that were edited by hand are goldencheetah.sip
Bindings.h and Bindings.cpp
Basic proof of concept for CPP binding using SIP but with
our own type conversion (to avoid overhead of SIP lib/deploy).
Its far from perfect but will serve as a starting point.
.. needed to fixup type conversion in goldencheetah.sip to
convert returning QString as PyUnicode
.. needed to fixup passing context when multi-threaded
.. needed to fixup Bindings.h/cpp to offer new API
.. Using SIP thats used in PyQt et al we have a module
called `goldencheetah' which includes bindings.
Currently there is only a single method `getValue()'
that returns 1. It's to get the basic plumbing in place.
src/Python/SIP contains all the files related to the
module. The cpp files are generated by the `sip' utility
which will need to be available if you want to work on the
bindings. Run make -f Makefile.hack to regenerate the cpp
files if you edit them.
I prefer to distribute the generated files at this point
whilst development occurs. We may change that at a later
date.
.. Please note that the gcconfig.pri.in file has changed as
we now include the python include path rather than set a
macro for the include directive (See PYTHONINCLUDES in
gcconfig.pri.in)
.. lastly, to test this is working in a python chart console:
> print(GC.getValue())
1
>
