def main():
sites = sys.argv[1:]
if len(sites) == 0:
print "Must specify at least one site to plot!"
sys.exit(1)
url_results = get_sites_data(sites)
results = {}
# Determine the maximum amount of work done:
for pivot, groups in url_results.items():
all_gratia = []
all_gip = []
for group, data in groups.items():
all_gratia.append(data[0])
all_gip.append(data[1])
max_gratia = max(max(all_gratia), .1)
max_gip = max(max(all_gip), .1)
for group, data in groups.items():
groups[group] = data[0] / max_gratia, data[1] / max_gip
for pivot, groups in url_results.items():
results_dict = {}
results[pivot] = results_dict
for group, data in groups.items():
results_dict[data] = .001
file = open(expand_string('$HOME/tmp/gip_vs_gratia.png', os.environ), 'w')
SP = ScatterPlot()
metadata = {'title': 'Gratia vs. GIP', \
'subtitle': 'Sites %s' % ', '.join(sites), \
'xlabel': 'Gratia reported normalized amount of work', \
'ylabel': 'GIP reported normalized amount of work', \
'height': '800', \
}
SP(results, file, metadata)
def startPlot(self, output, results, metadata, encoding='UTF-8'):
gen = self.startDocument(output, encoding)
query_attrs = {}
name = metadata.get('name', '')
if name and len(name) > 0:
query_attrs['name'] = name
gen.startElement('query', query_attrs)
gen.characters("\n\t\t")
title = expand_string(metadata.get('title', ''),
metadata.get('sql_vars', ''))
if title and len(title) > 0:
gen.startElement('title', {})
gen.characters(title)
gen.endElement('title')
gen.characters("\n\t\t")
graph_type = metadata.get('graph_type', False)
if graph_type and len(graph_type) > 0:
gen.startElement('graph', {})
gen.characters(graph_type)
gen.endElement('graph')
gen.characters("\n\t\t")
sql_string = str(metadata.get('sql', ''))
gen.startElement('sql', {})
gen.characters(sql_string)
gen.characters("\n\t\t")
gen.endElement('sql')
gen.characters("\n\t\t")
self.write_sql_vars(results, metadata, gen)
gen.characters("\n\t\t")
base_url = None
graphs = metadata.get('grapher', None)
if graphs and 'base_url' in graphs.metadata:
base_url = graphs.metadata['base_url']
else:
print("Base URL not specified!")
print(metadata)
if graphs:
print(graphs.metadata)
else:
print("Graphs not specified")
pass
my_base_url = self.metadata.get('base_url', '')
gen.startElement('attr', {'name': 'base_url'})
gen.characters(my_base_url)
gen.endElement('attr')
gen.characters('\n\t\t')
try:
static_location = '/static/content'
static_object = self.globals['static']
static_location = static_object.metadata.get('base_url', '/static')
static_location += '/content'
except:
pass
gen.startElement('attr', {'name': 'static_base_url'})
gen.characters(static_location)
gen.endElement('attr')
gen.characters('\n\t\t')
self.write_graph_url(results, metadata, gen, base_url=base_url)
gen.characters('\n\t\t')
return gen
def main():
sites = sys.argv[1:]
if len(sites) == 0:
print "Must specify at least one site to plot!"
sys.exit(1)
url_results = get_sites_data(sites)
results = {}
# Determine the maximum amount of work done:
for pivot, groups in url_results.items():
all_gratia = []
all_gip = []
for group, data in groups.items():
all_gratia.append(data[0])
all_gip.append(data[1])
max_gratia = max(max(all_gratia), .1)
max_gip = max(max(all_gip), .1)
for group, data in groups.items():
groups[group] = data[0]/max_gratia, data[1]/max_gip
for pivot, groups in url_results.items():
results_dict = {}
results[pivot] = results_dict
for group, data in groups.items():
results_dict[data] = .001
file = open(expand_string('$HOME/tmp/gip_vs_gratia.png',os.environ),'w')
SP = ScatterPlot()
metadata = {'title': 'Gratia vs. GIP', \
'subtitle': 'Sites %s' % ', '.join(sites), \
'xlabel': 'Gratia reported normalized amount of work', \
'ylabel': 'GIP reported normalized amount of work', \
'height': '800', \
}
SP(results, file, metadata)
def handle_results(self, results, metadata, **kw):
template_data = self.get_common_template_data()
results_table = self.cumulate_table(results)
results_table.insert(0, self.get_titles_row(results_table, metadata))
results_table = self.set_gc_params(results_table,template_data, metadata)
given_kw = metadata.get('given_kw',{})
title = given_kw.get('title',metadata.get('title',''))
no_frame = given_kw.get('no_html_frame',False) in ['true', '1', 't', 'y', 'yes', 'TRUE', 'True', 'YES']
given_kw['title']=title
template_data.params_defaults = json.dumps(metadata.get('sql_vars',{}),separators=(',',':'),cls=CustomDecimalDateObjectJSONEncoder)
template_data.html_title = expand_string(title , given_kw)
template_data.json_queries_desc = json.dumps(self.get_queries_description(template_data.base_url),separators=(',',':'),cls=CustomDecimalDateObjectJSONEncoder)
template_data.json_results_table = json.dumps(results_table,separators=(',',':'),cls=CustomDecimalDateObjectJSONEncoder)
template_data.json_metadata = json.dumps(metadata,separators=(',',':'),indent=2,cls=CustomDecimalDateObjectJSONEncoder)
template_data.matplotlib_image_url = self.get_matplotlib_url(metadata)
template_data.csv_url = self.get_csv_url(metadata)
template_data.sql_string = str(metadata.get('sql',''))
if no_frame:
tmpl = lookup.get_template("query_no_frame.mako")
else:
tmpl = lookup.get_template("query.mako")
template_data.params = self.params_as_ordered_tuple_list(metadata)
return tmpl.render(tmpl_data=template_data)
def startPlot( self, output, results, metadata, encoding='UTF-8' ):
gen = self.startDocument( output, encoding )
query_attrs = {}
name = metadata.get('name','')
if name and len(name) > 0:
query_attrs['name'] = name
gen.startElement('query', query_attrs)
gen.characters("\n\t\t")
title = expand_string( metadata.get('title',''), metadata.get('sql_vars','') )
if title and len(title) > 0:
gen.startElement('title',{})
gen.characters( title )
gen.endElement( 'title' )
gen.characters("\n\t\t")
graph_type = metadata.get('graph_type',False)
if graph_type and len(graph_type) > 0:
gen.startElement( 'graph',{} )
gen.characters( graph_type )
gen.endElement( 'graph' )
gen.characters("\n\t\t")
sql_string = str(metadata.get('sql',''))
gen.startElement( 'sql',{} )
gen.characters( sql_string )
gen.characters("\n\t\t")
gen.endElement( 'sql' )
gen.characters("\n\t\t")
self.write_sql_vars( results, metadata, gen )
gen.characters("\n\t\t")
base_url = None
graphs = metadata.get('grapher',None)
if graphs and 'base_url' in graphs.metadata:
base_url = graphs.metadata['base_url']
else:
print("Base URL not specified!")
print(metadata)
if graphs:
print(graphs.metadata)
else:
print("Graphs not specified")
pass
my_base_url = self.metadata.get('base_url','')
gen.startElement( 'attr',{'name':'base_url'} )
gen.characters( my_base_url )
gen.endElement( 'attr' )
gen.characters('\n\t\t')
try:
static_location = '/static/content'
static_object = self.globals['static']
static_location = static_object.metadata.get('base_url','/static')
static_location += '/content'
except:
pass
gen.startElement( 'attr',{'name':'static_base_url'} )
gen.characters( static_location )
gen.endElement( 'attr' )
gen.characters('\n\t\t')
self.write_graph_url( results, metadata, gen, base_url=base_url )
gen.characters('\n\t\t')
return gen
def handle_results(self, results, metadata, **kw):
template_data = self.get_common_template_data()
results_table = self.cumulate_table(results)
results_table.insert(0, self.get_titles_row(results_table, metadata))
results_table = self.set_gc_params(results_table, template_data,
metadata)
given_kw = metadata.get('given_kw', {})
title = given_kw.get('title', metadata.get('title', ''))
no_frame = given_kw.get('no_html_frame', False) in [
'true', '1', 't', 'y', 'yes', 'TRUE', 'True', 'YES'
]
given_kw['title'] = title
template_data.params_defaults = json.dumps(
metadata.get('sql_vars', {}),
separators=(',', ':'),
cls=CustomDecimalDateObjectJSONEncoder)
template_data.html_title = expand_string(title, given_kw)
template_data.json_queries_desc = json.dumps(
self.get_queries_description(template_data.base_url),
separators=(',', ':'),
cls=CustomDecimalDateObjectJSONEncoder)
template_data.json_results_table = json.dumps(
results_table,
separators=(',', ':'),
cls=CustomDecimalDateObjectJSONEncoder)
template_data.json_metadata = json.dumps(
metadata,
separators=(',', ':'),
indent=2,
cls=CustomDecimalDateObjectJSONEncoder)
template_data.matplotlib_image_url = self.get_matplotlib_url(metadata)
template_data.csv_url = self.get_csv_url(metadata)
template_data.sql_string = str(metadata.get('sql', ''))
if no_frame:
tmpl = lookup.get_template("query_no_frame.mako")
else:
tmpl = lookup.get_template("query.mako")
template_data.params = self.params_as_ordered_tuple_list(metadata)
return tmpl.render(tmpl_data=template_data)
def main():
sites = sys.argv[1:]
if len(sites) == 0:
print "Must specify at least one site to plot!"
sys.exit(1)
url_results = get_sites_data(sites)
results = {}
# Determine the maximum amount of work done:
for pivot, groups in url_results.items():
all_work = []
for group, data in groups.items():
all_work.append(data[0])
max_work = max(all_work)
for group, data in groups.items():
groups[group] = data[0]/max_work, data[1]
ugly_points = 0
bad_points = 0
points = 0
for pivot, groups in url_results.items():
results_dict = {}
results[pivot] = results_dict
for group, data in groups.items():
points += 1
if data[1] > .01 and data[0] > data[1] + .1:
ugly_points += 1
if data[1] < .01 and data[0] > .1:
bad_points += 1
results_dict[data] = .001
print "Good points: %i; Bad points: %i; Ugly points: %i." % (points,
bad_points, ugly_points)
file = open(expand_string('$HOME/tmp/avail_vs_work.png',os.environ),'w')
SP = ScatterPlot()
metadata = {'title': 'Computation hours vs. RSV Availability', \
'subtitle': 'Sites %s' % ', '.join(sites), \
'xlabel': 'Normalized amount of work', \
'ylabel': 'RSV availability', \
}
SP(results, file, metadata)
def main():
sites = sys.argv[1:]
if len(sites) == 0:
print "Must specify at least one site to plot!"
sys.exit(1)
url_results = get_sites_data(sites)
results = {}
# Determine the maximum amount of work done:
for pivot, groups in url_results.items():
all_work = []
for group, data in groups.items():
all_work.append(data[0])
max_work = max(all_work)
for group, data in groups.items():
groups[group] = data[0] / max_work, data[1]
ugly_points = 0
bad_points = 0
points = 0
for pivot, groups in url_results.items():
results_dict = {}
results[pivot] = results_dict
for group, data in groups.items():
points += 1
if data[1] > .01 and data[0] > data[1] + .1:
ugly_points += 1
if data[1] < .01 and data[0] > .1:
bad_points += 1
results_dict[data] = .001
print "Good points: %i; Bad points: %i; Ugly points: %i." % (
points, bad_points, ugly_points)
file = open(expand_string('$HOME/tmp/avail_vs_work.png', os.environ), 'w')
SP = ScatterPlot()
metadata = {'title': 'Computation hours vs. RSV Availability', \
'subtitle': 'Sites %s' % ', '.join(sites), \
'xlabel': 'Normalized amount of work', \
'ylabel': 'RSV availability', \
}
SP(results, file, metadata)
#!/usr/bin/env python
import os, random
from graphtool.graphs.common_graphs import QualityBarGraph
from graphtool.tools.common import expand_string
# First example - we have a bar graph with text labels
data = {}
for i in range(40):
data['Team %i' % i] = random.random()
metadata = {'title':'Quality Bar Example',
'title_size':20, 'text_size':10, 'fixed-height':False }
file = open(expand_string('$HOME/tmp/quality_bar.png',os.environ),'w')
QBG = QualityBarGraph()
QBG(data, file, metadata)
#!/usr/bin/env python
import time, os, random, datetime
from graphtool.graphs.common_graphs import CumulativeGraph
from graphtool.tools.common import expand_string
span = 3600
max_value = 40
# Generate our time series
def make_time_data( ):
end_time = time.time(); end_time -= end_time % span
begin_time = end_time - 24*span
data = {}
for i in range(begin_time, end_time, span):
data[i] = random.random()*max_value
return begin_time, end_time, data
# Create and plot cumulative plot.
CG = CumulativeGraph()
begin_time, end_time, data1 = make_time_data()
begin_time, end_time, data2 = make_time_data()
data = {'Team A': data1, 'Team B': data2}
metadata = {'title':'Some Cumulative Data', 'starttime':begin_time, 'endtime':end_time, 'span':span, 'is_cumulative':False }
filename = expand_string('$HOME/tmp/cumulative.png',os.environ)
file = open( filename, 'w' )
CG( data, file, metadata )
# Generate our time series
def make_time_data():
end_time = time.time()
end_time -= end_time % span
begin_time = end_time - 24 * span
data = {}
for i in range(begin_time, end_time, span):
data[i] = random.random()
return begin_time, end_time, data
QM = QualityMap()
# Data generation
full_data = {}
for i in range(10):
team_name = 'Team %i' % i
begin_time, end_time, data = make_time_data()
full_data[team_name] = data
metadata = {
'title': 'Quality Plot w.r.t. Time',
'starttime': begin_time,
'endtime': end_time,
'span': span
}
filename = expand_string('$HOME/tmp/quality_map.png', os.environ)
file = open(filename, 'w')
QM(full_data, file, metadata)
#!/usr/bin/env python
import os
import sys
sys.path.insert(0, os.path.expandvars('$GRAPHTOOL_ROOT/src'))
from graphtool.tools.common import expand_string
from graphtool.graphs.common_graphs import ScatterPlot
import numpy
numpts = 100
data = {}
for site in ['Site A', 'Site B']:
data1 = numpy.random.normal(size=numpts, loc=1.0)
data2 = numpy.random.normal(size=numpts, loc=1.0)
data3 = numpy.random.random(numpts)
data[site] = {}
for i in range(numpts):
data[site][data1[i], data2[i]] = .1*data3[i]
metadata = {'title':'Scatter Plot Example'}
file = open(expand_string('$HOME/tmp/scatter.png',os.environ),'w')
SP = ScatterPlot()
SP(data, file, metadata)
#!/usr/bin/env python
import os, random
from graphtool.graphs.common_graphs import HorizontalStackedBarGraph
from graphtool.tools.common import expand_string
# First example - we have a bar graph with text labels
data = {}
# Second example - bar graph with integer labels, bar width 2
entry1 = {}; entry2 = {}
for i in range(0,10,2):
entry1[str(i)] = i**2
entry2[str(i)] = i
data = {'Team A':entry1, 'Team B':entry2}
metadata = {'title':'Horizontal Stacked Bar Example',
'title_size':20, 'text_size':17, 'fixed-height':False }
file = open(expand_string('$HOME/tmp/horizontal_stacked_bar.png',os.environ),'w')
HSBG = HorizontalStackedBarGraph()
HSBG(data, file, metadata)
import time, os, random, datetime
from matplotlib.dates import num2date
from graphtool.graphs.common_graphs import QualityMap
from graphtool.tools.common import expand_string
span = 3600
# Generate our time series
def make_time_data( ):
end_time = time.time(); end_time -= end_time % span
begin_time = end_time - 24*span
data = {}
for i in range(begin_time, end_time, span):
data[i] = random.random()
return begin_time, end_time, data
QM = QualityMap()
# Data generation
full_data = {}
for i in range(100):
team_name = 'Team %i' % i
begin_time, end_time, data = make_time_data()
full_data[team_name] = data
metadata = {'title':'Tall Quality Plot w.r.t. Time', 'starttime':begin_time,
'endtime':end_time, 'span':span, 'fixed-height':False }
filename = expand_string('$HOME/tmp/quality_map_tall.png',os.environ)
file = open( filename, 'w' )
QM( full_data, file, metadata )
#!/usr/bin/env python
import os
import sys
sys.path.insert(0, os.path.expandvars('$GRAPHTOOL_ROOT/src'))
from graphtool.tools.common import expand_string
from graphtool.graphs.common_graphs import ScatterPlot
import numpy
numpts = 100
data = {}
for site in ['Site A', 'Site B']:
data1 = numpy.random.normal(size=numpts, loc=1.0)
data2 = numpy.random.normal(size=numpts, loc=1.0)
data3 = numpy.random.random(numpts)
data[site] = {}
for i in range(numpts):
data[site][data1[i], data2[i]] = .1 * data3[i]
metadata = {'title': 'Scatter Plot Example'}
file = open(expand_string('$HOME/tmp/scatter.png', os.environ), 'w')
SP = ScatterPlot()
SP(data, file, metadata)
begin_time = end_time - 24*span
data = {}
for i in range(begin_time, end_time, span):
data[i] = random.random()*max_value
return begin_time, end_time, data
# Our classes
class TimeBarGraph( TimeGraph, BarGraph ):
pass
class TimeStackedBarGraph( TimeGraph, StackedBarGraph ):
pass
# Bar graph stuff.
TBG = TimeBarGraph()
begin_time, end_time, data = make_time_data()
metadata = {'title':'Bar Graph w.r.t. Time', 'starttime':begin_time, 'endtime':end_time, 'span':span }
filename = expand_string('$HOME/tmp/time_bar.png',os.environ)
file = open( filename, 'w' )
TBG( data, file, metadata )
# Stacked Bar graph stuff.
TSBG = TimeStackedBarGraph()
begin_time, end_time, data1 = make_time_data()
begin_time, end_time, data2 = make_time_data()
data = {'Team A': data1, 'Team B': data2}
metadata = {'title':'Stacked Bar Graph w.r.t. Time', 'starttime':begin_time, 'endtime':end_time, 'span':span }
filename = expand_string('$HOME/tmp/time_stacked_bar.png',os.environ)
file = open( filename, 'w' )
TSBG( data, file, metadata )
#!/usr/bin/env python
import os
from graphtool.graphs.common_graphs import StackedBarGraph
from graphtool.tools.common import expand_string
# First example - we have a bar graph with text labels
entry1 = {'foo':3, 'bar':5}
entry2 = {'foo':4, 'bar':6}
data = {'Team A':entry1, 'Team B':entry2}
metadata = {'title':'First Stacked Bar Example'}
file = open(expand_string('$HOME/tmp/stacked_strings.png',os.environ),'w')
SBG = StackedBarGraph()
SBG(data, file, metadata)
# Second example - bar graph with integer labels, bar width 2
entry1 = {}; entry2 = {}
for i in range(0,10,2):
entry1[i] = i**2
entry2[i] = i
data = {'Team A':entry1, 'Team B':entry2}
metadata = {'title':'Second Stacked Bar Example', 'span':2}
del entry1[6]; del entry2[6]; del entry2[8]
def startPlot( self, output, results, metadata, encoding='UTF-8' ):
title = metadata.get('title','')
if metadata.get('given_kw',{}).has_key('title'):
title = metadata.get('given_kw',{})['title']
title = expand_string(title, metadata.get('sql_vars','') )
gen = self.startDocument( output,("Results of Query: %s"%title), encoding )
query_attrs = {}
name = metadata.get('name','')
if name and len(name) > 0:
query_attrs['name'] = name
gen.startElement('query', query_attrs)
gen.characters("\n\t\t")
if title and len(title) > 0:
gen.startElement('title',{})
gen.characters( title )
gen.endElement( 'title' )
gen.characters("\n\t\t")
graph_type = metadata.get('graph_type',False)
graph_kind = metadata.get('graph_kind',False)
js_chart_setup = metadata.get('js_chart_setup',False)
mpl_2_gc = {}
metadata['translate_mp_2_gc'] = False
if not graph_kind and mpl_2_gc.has_key(graph_type):
maped_gc = mpl_2_gc[graph_type]
graph_type = maped_gc['gc_type']
js_chart_setup = maped_gc['gc_js_setup']
graph_kind = 'google_charts'
metadata['translate_mp_2_gc'] = True
gen.startElement( 'translate_mp_2_gc',{} )
if metadata['translate_mp_2_gc']:
gen.characters( 'TRUE' )
else:
gen.characters( 'FALSE' )
gen.endElement( 'translate_mp_2_gc')
gen.characters("\n\t\t")
if graph_type and len(graph_type) > 0:
gen.startElement( 'graph',{} )
gen.characters( graph_type )
gen.endElement( 'graph' )
gen.characters("\n\t\t")
if graph_kind and len(graph_kind) > 0:
gen.startElement( 'graph_kind',{} )
gen.characters( graph_kind )
gen.endElement( 'graph_kind' )
gen.characters("\n\t\t")
if js_chart_setup and len(js_chart_setup) > 0:
gen.startElement( 'js_chart_setup',{} )
gen.characters( js_chart_setup )
gen.endElement( 'js_chart_setup' )
gen.characters("\n\t\t")
sql_string = str(metadata.get('sql',''))
gen.startElement( 'sql',{} )
gen.characters( sql_string )
gen.characters("\n\t\t")
gen.endElement( 'sql' )
gen.characters("\n\t\t")
self.write_sql_vars( results, metadata, gen )
gen.characters("\n\t\t")
self.write_json_metadata(metadata, gen)
gen.characters("\n\t\t")
my_base_url = self.metadata.get('base_url','')
gen.startElement( 'attr',{'name':'base_url'} )
gen.characters( my_base_url )
gen.endElement( 'attr' )
gen.characters('\n\t\t')
self.write_graph_url( results, metadata, gen, graph_kind)
return gen
#!/usr/bin/env python
import os
from graphtool.graphs.common_graphs import PieGraph
from graphtool.tools.common import expand_string
filename = expand_string('$HOME/tmp/pie.png',os.environ)
file = open( filename, 'w' )
data = {'foo':45, 'bar':55}
metadata = {'title':'Hello Graphing World!'}
pie = PieGraph()
coords = pie.run( data, file, metadata )
# First example - we have a bar graph with text labels
data = {'Team A': 4, 'Team B': 7}
print data
metadata = {
'title': 'First Bar Example',
'height': 200,
'width': 400,
'title_size': 20,
'text_size': 17
}
file = open(expand_string('$HOME/tmp/bar_strings.png', os.environ), 'w')
BG = BarGraph()
BG(data, file, metadata)
# Second example - we have a bar graph with integer data
data = {}
for i in range(10):
data[i] = i**2
print data
metadata = {'title': 'Second Bar Example'}
file = open(expand_string('$HOME/tmp/bar_ints.png', os.environ), 'w')
span = 3600
max_value = 40
# Generate our time series
def make_time_data():
end_time = time.time()
end_time -= end_time % span
begin_time = end_time - 24 * span
data = {}
for i in range(begin_time, end_time, span):
data[i] = random.random() * max_value
return begin_time, end_time, data
# Create and plot cumulative plot.
CG = CumulativeGraph()
begin_time, end_time, data1 = make_time_data()
begin_time, end_time, data2 = make_time_data()
data = {'Team A': data1, 'Team B': data2}
metadata = {
'title': 'Some Cumulative Data',
'starttime': begin_time,
'endtime': end_time,
'span': span,
'is_cumulative': False
}
filename = expand_string('$HOME/tmp/cumulative.png', os.environ)
file = open(filename, 'w')
CG(data, file, metadata)
#!/usr/bin/env python
import os
from graphtool.graphs.common_graphs import PieGraph
from graphtool.tools.common import expand_string
filename = expand_string('$HOME/tmp/pie.png', os.environ)
file = open(filename, 'w')
data = {'foo': 45, 'bar': 55}
metadata = {'title': 'Hello Graphing World!'}
pie = PieGraph()
coords = pie.run(data, file, metadata)
#!/usr/bin/env python
import os, random
from graphtool.graphs.common_graphs import HorizontalGroupedBarGraph
from graphtool.tools.common import expand_string
# First example - we have a bar graph with text labels
data = {}
data_groups = 3
for i in range(40):
data['Team %i' % i] = [random.random() * 10 for j in range(data_groups)]
metadata = {
'title': 'Horizontal Bar Example',
'title_size': 20,
'text_size': 17,
'fixed-height': False
}
file = open(expand_string('$HOME/tmp/horizontal_grouped_bar.png',os.environ), \
'w')
HGBG = HorizontalGroupedBarGraph()
HGBG(data, file, metadata)
def startPlot(self, output, results, metadata, encoding='UTF-8'):
title = metadata.get('title', '')
if metadata.get('given_kw', {}).has_key('title'):
title = metadata.get('given_kw', {})['title']
title = expand_string(title, metadata.get('sql_vars', ''))
gen = self.startDocument(output, ("Results of Query: %s" % title),
encoding)
query_attrs = {}
name = metadata.get('name', '')
if name and len(name) > 0:
query_attrs['name'] = name
gen.startElement('query', query_attrs)
gen.characters("\n\t\t")
if title and len(title) > 0:
gen.startElement('title', {})
gen.characters(title)
gen.endElement('title')
gen.characters("\n\t\t")
graph_type = metadata.get('graph_type', False)
graph_kind = metadata.get('graph_kind', False)
js_chart_setup = metadata.get('js_chart_setup', False)
mpl_2_gc = {}
metadata['translate_mp_2_gc'] = False
if not graph_kind and mpl_2_gc.has_key(graph_type):
maped_gc = mpl_2_gc[graph_type]
graph_type = maped_gc['gc_type']
js_chart_setup = maped_gc['gc_js_setup']
graph_kind = 'google_charts'
metadata['translate_mp_2_gc'] = True
gen.startElement('translate_mp_2_gc', {})
if metadata['translate_mp_2_gc']:
gen.characters('TRUE')
else:
gen.characters('FALSE')
gen.endElement('translate_mp_2_gc')
gen.characters("\n\t\t")
if graph_type and len(graph_type) > 0:
gen.startElement('graph', {})
gen.characters(graph_type)
gen.endElement('graph')
gen.characters("\n\t\t")
if graph_kind and len(graph_kind) > 0:
gen.startElement('graph_kind', {})
gen.characters(graph_kind)
gen.endElement('graph_kind')
gen.characters("\n\t\t")
if js_chart_setup and len(js_chart_setup) > 0:
gen.startElement('js_chart_setup', {})
gen.characters(js_chart_setup)
gen.endElement('js_chart_setup')
gen.characters("\n\t\t")
sql_string = str(metadata.get('sql', ''))
gen.startElement('sql', {})
gen.characters(sql_string)
gen.characters("\n\t\t")
gen.endElement('sql')
gen.characters("\n\t\t")
self.write_sql_vars(results, metadata, gen)
gen.characters("\n\t\t")
self.write_json_metadata(metadata, gen)
gen.characters("\n\t\t")
my_base_url = self.metadata.get('base_url', '')
gen.startElement('attr', {'name': 'base_url'})
gen.characters(my_base_url)
gen.endElement('attr')
gen.characters('\n\t\t')
self.write_graph_url(results, metadata, gen, graph_kind)
return gen
#!/usr/bin/env python
import os, random
from graphtool.graphs.common_graphs import HorizontalBarGraph
from graphtool.tools.common import expand_string
# First example - we have a bar graph with text labels
data = {}
for i in range(40):
data['Team %i' % i] = random.random() * 10
metadata = {'title':'Horizontal Bar Example',
'title_size':20, 'text_size':17, 'fixed-height':False }
file = open(expand_string('$HOME/tmp/horizontal_bar.png',os.environ),'w')
HBG = HorizontalBarGraph()
HBG(data, file, metadata)
class TimeStackedBarGraph(TimeGraph, StackedBarGraph):
pass
# Bar graph stuff.
TBG = TimeBarGraph()
begin_time, end_time, data = make_time_data()
metadata = {
'title': 'Bar Graph w.r.t. Time',
'starttime': begin_time,
'endtime': end_time,
'span': span
}
filename = expand_string('$HOME/tmp/time_bar.png', os.environ)
file = open(filename, 'w')
TBG(data, file, metadata)
# Stacked Bar graph stuff.
TSBG = TimeStackedBarGraph()
begin_time, end_time, data1 = make_time_data()
begin_time, end_time, data2 = make_time_data()
data = {'Team A': data1, 'Team B': data2}
metadata = {
'title': 'Stacked Bar Graph w.r.t. Time',
'starttime': begin_time,
'endtime': end_time,
'span': span
}
filename = expand_string('$HOME/tmp/time_stacked_bar.png', os.environ)
#!/usr/bin/env python
import os
import sys
sys.path.insert(0, os.path.expandvars('$GRAPHTOOL_ROOT/src'))
from graphtool.tools.common import expand_string
from graphtool.graphs.common_graphs import Histogram
import numpy
data = numpy.random.normal(size=100, loc=1.0)
metadata = {'title':'First Histogram Example', 'nbins': 15}
file = open(expand_string('$HOME/tmp/histogram.png',os.environ),'w')
HG = Histogram()
HG(data, file, metadata)
# Generate our time series
def make_time_data( ):
end_time = time.time(); end_time -= end_time % span
begin_time = end_time - 24*span
data = {}
for i in range(begin_time, end_time, span):
data[i] = random.sample(values, 1)[0]
return begin_time, end_time, data
QM = QualityMap()
# Data generation
full_data = {}
for i in range(10):
team_name = 'Team %i' % i
begin_time, end_time, data = make_time_data()
full_data[team_name] = data
metadata = {'title':'Quality Plot w.r.t. Time', 'starttime':begin_time,
'endtime':end_time, 'span':span,
'color_override': {0: 'grey',
.25: 'red',
.5: 'yellow',
1.0: 'green'},
'legend': legend,
}
filename = expand_string('$HOME/tmp/quality_map_dashboard.png',os.environ)
file = open( filename, 'w' )
QM( full_data, file, metadata )
