def crnsong_01():
parser = crnparsers.HourlyCrnParser()
# Get six stations that pretty much cover CONUS
stations = parser.find_stations(('Darrington', 'Barbara', 'Northgate', 'Port Aransas', 'Old Town', 'Brunswick'))
print stations
fields = set(('T_CALC', 'SOIL_TEMP_10', 'SOIL_TEMP_50', 'SOLARAD', 'P_CALC'))
#fields = set(('T_CALC', 'SOLARAD', 'SOIL_TEMP_10', 'SOIL_TEMP_50'))
years = range(2008, 2013)
doc = parser.parse(stations, years, fields)
assert len(doc) == len(stations)
doc.combine_all_ranges()
# MIDI output
mrenderer = MidiCCRenderer(sample_rate=24) #24 is the natural fit.
sine_to_midi_map = {'T_CALC': 74, 'SOIL_TEMP_10': 75, 'SOIL_TEMP_50' : 76, 'SOLARAD' : 77, 'P_CALC' : 78} # sine to cc# # 1 is mod wheel, for bowing using the Serenade reaktor patch
#sine_to_midi_map = {'T_CALC': 74, 'SOLARAD': 75, 'SOIL_TEMP_10': 76, 'SOIL_TEMP_50' : 77}
transformed_doc = doc.transform(sine_to_midi_map, mrenderer)
# Create graph
vrenderer = LineGraphRenderer()
# No mapping because LineGraphRenderer doesn't need one.
vrenderer.render(transformed_doc, showplot=True, outfile='/tmp/test.svg')
# Output MIDI
mrenderer.render(transformed_doc, output_file='t.mid')
def crnsong_01():
parser = crnparsers.HourlyCrnParser()
# Get six stations that pretty much cover CONUS
stations = parser.find_stations(('Darrington', 'Barbara', 'Northgate',
'Port Aransas', 'Old Town', 'Brunswick'))
print stations
fields = set(
('T_CALC', 'SOIL_TEMP_10', 'SOIL_TEMP_50', 'SOLARAD', 'P_CALC'))
#fields = set(('T_CALC', 'SOLARAD', 'SOIL_TEMP_10', 'SOIL_TEMP_50'))
years = range(2008, 2013)
doc = parser.parse(stations, years, fields)
assert len(doc) == len(stations)
doc.combine_all_ranges()
# MIDI output
mrenderer = MidiCCRenderer(sample_rate=24) #24 is the natural fit.
sine_to_midi_map = {
'T_CALC': 74,
'SOIL_TEMP_10': 75,
'SOIL_TEMP_50': 76,
'SOLARAD': 77,
'P_CALC': 78
} # sine to cc# # 1 is mod wheel, for bowing using the Serenade reaktor patch
#sine_to_midi_map = {'T_CALC': 74, 'SOLARAD': 75, 'SOIL_TEMP_10': 76, 'SOIL_TEMP_50' : 77}
transformed_doc = doc.transform(sine_to_midi_map, mrenderer)
# Create graph
vrenderer = LineGraphRenderer()
# No mapping because LineGraphRenderer doesn't need one.
vrenderer.render(transformed_doc, showplot=True, outfile='/tmp/test.svg')
# Output MIDI
mrenderer.render(transformed_doc, output_file='t.mid')
def test_end_to_end_sines():
parser = SineDictParser()
sines = generate_sines(3, 40)
doc = parser.parse(sines)
renderer = LineGraphRenderer()
plot = renderer.render(doc, showplot=False)
assert plot.__sizeof__() == 16 # not many assert options on these objects
def test_buoy_parser_01():
parser = buoyparsers.GlobalDrifterParser()
doc = parser.parse('test_resources/buoydata.dat')
doc.intify()
# doc = parser.parse('/Users/egg/Temp/oceancurrents/globaldrifter/buoydata_5001_sep12.dat')
renderer = LineGraphRenderer()
# No mapping because LineGraphRenderer doesn't need one.
plot = renderer.render(doc, showplot=False, outfile='/tmp/test.svg')
assert plot.__sizeof__() == 16
def test_crn_parser_01():
''' fetches from the website, so may not want to always run. Built to fetch data at a
minimum granularity of 1 station-year, so can't be made much smaller. '''
parser = crnparsers.HourlyCrnParser()
stations = parser.find_stations('Torrey')
assert len(stations) == 1, 'Finding the "Torrey" station should return exactly one station'
fields = set(('T_CALC', 'SOLARAD'))
doc = parser.parse(stations, [2012], fields=fields)
assert len(doc) == 1
assert len(doc[0]) == len(fields)
#TODO add mapping for LGR for cases where we don't want to graph everything?
renderer = LineGraphRenderer()
# No mapping because LineGraphRenderer doesn't need one.
plot = renderer.render(doc, showplot=True, outfile='/tmp/test.svg')
assert plot.__sizeof__() == 16
def graph(doc, keys=None):
renderer = LineGraphRenderer()
plot = renderer.render(doc, showplot=True, outfile='/tmp/plot.svg', keys=keys, render_separate=True)
return plot