def charts(self):
# only get data if we're loading an actual report - this requires filters
if 'location_id' in self.request.GET:
chart = MultiBarChart(None, Axis(_('Products')),
Axis(_('% of Facilities'), ',.1d'))
chart.data = self.get_data_for_graph()
return [chart]
def get_chart(self, rows, columns, x_label, y_label):
chart = MultiBarChart('% of Groups Receiving Grades', x_axis=Axis(x_label), y_axis=Axis(y_label, '.0%'))
chart.height = 400
chart.rotateLabels = -60
chart.marginBottom = 90
chart.marginLeft = 100
self._chart_data(chart, columns, rows)
return [chart]
def get_chart(self, rows, x_label, y_label, data_provider):
def _get_label_with_percentage(row):
return "%s [%s%%]" % (row[0]['html'], str(int(row[-1]['html'][:-1])))
if isinstance(data_provider, NutritionBirthWeightDetails):
chart = PieChart('BirthWeight', '',
[{'label': "%s [%s%%]" % (row[0]['html'], str(int(row[-1]['html'][:-1]))),
'value': int(row[-1]['html'][:-1])} for row in rows[2:]], ['red', 'green'])
chart.showLabels = False
elif isinstance(data_provider, DeliveryPlaceDetailsExtended):
chart = PieChart('', '', [{'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])} for row in rows[1:]])
chart.showLabels = False
elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)):
chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 120
if isinstance(data_provider, ImmunizationOverview):
chart.stacked = True
chart.add_dataset('Percentage',
[{'x': row[0]['html'],
'y': int(row[3]['html'][:-1]) / 100.0} for row in rows],
color='green')
chart.add_dataset('Dropout Percentage',
[{'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows],
color='red')
else:
chart.add_dataset('Percentage',
[{'x': row[0]['html'], 'y':int(row[-1]['html'][:-1]) / 100.0} for row in rows])
elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended):
chart1 = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%'))
chart2 = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%'))
chart1.rotateLabels = -45
chart2.rotateLabels = -45
chart1.marginBottom = 120
chart2.marginBottom = 120
chart1.add_dataset('Percentage', [{'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[1:6]])
chart2.add_dataset('Percentage', [{'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[6:12]])
return [chart1, chart2]
elif isinstance(data_provider, ChildrenDeathsByMonth):
chart = LineChart('Seasonal Variation of Child Deaths', x_axis=Axis(x_label, dateFormat="%B"),
y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 120
months_mapping = dict((v, k) for k, v in enumerate(calendar.month_abbr))
chart.add_dataset('Percentage', [{'x': datetime.date(1, months_mapping[row[0][:3]], 1),
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows])
else:
chart = PieChart('', '', [{'label': "%s [%s%%]" % (row[0]['html'], str(int(row[-1]['html'][:-1]))),
'value': int(row[-1]['html'][:-1])} for row in rows])
chart.showLabels = False
return [chart]
def get_chart(self, rows, columns, x_label, y_label, has_total_column=False):
end = len(columns)
if has_total_column:
end -= 1
categories = [c.html for c in columns.header[1:end]]
chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, ' ,d'))
chart.rotateLabels = -45
chart.marginBottom = 120
self._chart_data(chart, categories, rows)
return [chart]
def get_chart(self, rows, columns, x_label, y_label, has_total_column=False):
end = len(columns)
if has_total_column:
end -= 1
categories = [c.html for c in columns.header[1:end]]
chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, ' ,d'))
chart.rotateLabels = -45
chart.marginBottom = 120
self._chart_data(chart, categories, rows)
return [chart]
def get_chart(self, rows, x_label, y_label):
chunks = _chunks(list(rows), self.chunk_size + 1)
charts = []
if self.request.GET.get('group_by', '') == 'domain':
chunks = sorted(chunks, key=lambda k: k[0][0])
for chunk in chunks:
chart = MultiBarChart(chunk[0][0], x_axis=Axis(x_label), y_axis=Axis(y_label, '.0%'))
chart.height = 300
chart.rotateLabels = 0
chart.marginBottom = 80
chart.marginLeft = 100
self._chart_data(chart, chunk[1:])
charts.append(chart)
return charts
def get_chart(self, rows, columns, x_label, y_label, has_total_column=False):
"""
Get a MultiBarChart model for the given set of rows and columns.
:param rows: 2D list of report data. Assumes index 0 of each row is the row label
:param columns: list of DatabaseColumn objects
"""
end = len(columns)
if has_total_column:
end -= 1
categories = [c.data_tables_column.html for c in columns[1:end]]
chart = MultiBarChart('', x_axis=Axis(x_label), y_axis=Axis(y_label, ' ,d'))
chart.rotateLabels = -45
chart.marginBottom = 120
self._chart_data(chart, categories, rows)
return [chart]
def charts(self):
product_dashboard = ProductAvailabilityDashboardChart()
product_availability = self.rows
def convert_product_data_to_stack_chart(rows, chart_config):
ret_data = []
for k in ['Stocked out', 'Not Stocked out', 'No Stock Data']:
datalist = []
for product in rows:
prd_code = SQLProduct.objects.get(product_id=product.product).code
if k == 'No Stock Data':
datalist.append([prd_code, product.without_data])
elif k == 'Stocked out':
datalist.append([prd_code, product.without_stock])
elif k == 'Not Stocked out':
datalist.append([prd_code, product.with_stock])
ret_data.append({'color': chart_config.label_color[k], 'label': k, 'data': datalist})
return ret_data
chart = MultiBarChart('', x_axis=Axis('Products'), y_axis=Axis(''))
chart.rotateLabels = -45
chart.marginBottom = 120
chart.stacked = self.chart_stacked
for row in convert_product_data_to_stack_chart(product_availability, product_dashboard):
chart.add_dataset(row['label'], [
{'x': r[0], 'y': r[1]}
for r in sorted(row['data'], key=lambda x: x[0])], color=row['color']
)
return [chart]
def get_chart(self, rows, columns, x_label, y_label):
chart = MultiBarChart('Adoption of Practices',
x_axis=Axis(x_label),
y_axis=Axis(y_label))
chart.forceY = [0, 100]
chart.height = 700
chart.rotateLabels = -55
chart.marginBottom = 390
chart.marginLeft = 350
self._chart_data(chart, columns, rows)
return [chart]
def get_chart(self,
rows,
columns,
x_label,
y_label,
has_total_column=False):
"""
Get a MultiBarChart model for the given set of rows and columns.
:param rows: 2D list of report data. Assumes index 0 of each row is the row label
:param columns: list of DatabaseColumn objects
"""
end = len(columns)
if has_total_column:
end -= 1
categories = [c.data_tables_column.html for c in columns[1:end]]
chart = MultiBarChart('',
x_axis=Axis(x_label),
y_axis=Axis(y_label, ' ,d'))
chart.rotateLabels = -45
chart.marginBottom = 120
self._chart_data(chart, categories, rows)
return [chart]
def get_chart(self, rows, columns, x_label, y_label):
chart = MultiBarChart('% of Groups Receiving Grades',
x_axis=Axis(x_label),
y_axis=Axis(y_label))
chart.forceY = [0, 100]
chart.height = 700
chart.rotateLabels = -90
chart.marginBottom = 390
chart.marginLeft = 100
self._chart_data(chart, columns, rows)
return [chart]
def get_chart(self, rows, columns, x_label, y_label):
chart = MultiBarChart('Adoption of Practices', x_axis=Axis(x_label), y_axis=Axis(y_label))
chart.forceY = [0, 100]
chart.height = 700
chart.rotateLabels = -55
chart.marginBottom = 390
chart.marginLeft = 350
self._chart_data(chart, columns, rows)
return [chart]
def charts(self):
rows = self.rows
loc_axis = Axis(label="Location")
tests_axis = Axis(label="Number of Tests", format=",.1d")
chart = MultiBarChart("Number of Tests Per Location", loc_axis, tests_axis)
chart.stacked = True
chart.tooltipFormat = " in "
chart.add_dataset(
"Male Tests",
[{'x':row[-10], 'y':row[-9]['html'] if row[-9] != "--" else 0} for row in rows],
color="#0006CE"
)
chart.add_dataset(
"Female Tests",
[{'x':row[-10], 'y':row[-8]['html'] if row[-8] != "--" else 0} for row in rows],
color="#70D7FF"
)
return [chart]
def get_chart(self, rows, x_label, y_label):
chunks = _chunks(list(rows), self.chunk_size + 1)
charts = []
for chunk in chunks:
chart = MultiBarChart(chunk[0][0],
x_axis=Axis(x_label),
y_axis=Axis(y_label))
chart.forceY = [0, 100]
chart.height = 300
chart.rotateLabels = 0
chart.marginBottom = 80
chart.marginLeft = 100
self._chart_data(chart, chunk[1:])
charts.append(chart)
return charts
def get_chart(self, rows, x_label, y_label):
chunks = _chunks(list(rows), self.chunk_size+1)
charts = []
for chunk in chunks:
chart = MultiBarChart(chunk[0][0], x_axis=Axis(x_label), y_axis=Axis(y_label))
chart.forceY = [0, 100]
chart.height = 300
chart.rotateLabels = 0
chart.marginBottom = 80
chart.marginLeft = 100
self._chart_data(chart, chunk[1:])
charts.append(chart)
return charts
def charts(self):
rows = self.rows
loc_axis = Axis(label="Location")
tests_axis = Axis(label="Number of Tests", format=",.1d")
chart = MultiBarChart("Number of Tests Per Location", loc_axis, tests_axis)
chart.stacked = True
chart.tooltipFormat = " in "
chart.add_dataset(
"Male Tests",
[{'x':row[-10], 'y':row[-9]['html'] if row[-9] != "--" else 0} for row in rows],
color="#0006CE"
)
chart.add_dataset(
"Female Tests",
[{'x':row[-10], 'y':row[-8]['html'] if row[-8] != "--" else 0} for row in rows],
color="#70D7FF"
)
return [chart]
def get_chart(self, rows, x_label, y_label):
chunks = _chunks(list(rows), self.chunk_size + 1)
charts = []
if self.request.GET.get('group_by', '') == 'domain':
chunks = sorted(chunks, key=lambda k: k[0][0])
for chunk in chunks:
chart = MultiBarChart(chunk[0][0],
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.0%'))
chart.height = 300
chart.rotateLabels = 0
chart.marginBottom = 80
chart.marginLeft = 100
self._chart_data(chart, chunk[1:])
charts.append(chart)
return charts
def get_chart(self, rows, columns, x_label, y_label):
chart = MultiBarChart('Adoption of Practices',
x_axis=Axis(x_label),
y_axis=Axis(y_label, '%'))
if self.report_config['group'] == 'domain':
chart.height = 550
chart.rotateLabels = -55
chart.marginBottom = 250
elif self.report_config['group'] == 'practice':
chart.height = 700
chart.rotateLabels = -55
chart.marginBottom = 400
else:
chart.height = 320
chart.rotateLabels = 0
chart.marginBottom = 50
chart.marginLeft = 200
chart.marginRight = 150
self._chart_data(chart, columns, rows)
return [chart]
def charts(self):
chart = MultiBarChart(None, Axis(''), Axis(''))
chart.height = 400
chart.marginBottom = 100
chart.data = self.get_data_for_graph()
return [chart]
def get_chart(self, rows, x_label, y_label, data_provider):
def _get_label_with_percentage(row):
return "%s [%d: %s%%]" % (row[0]['html'], int(row[-2]['html']), str(int(row[-1]['html'][:-1])))
if isinstance(data_provider, NutritionBirthWeightDetails):
chart = PieChart(data_provider.chart_title, '',
[{'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])} for row in rows[2:]], ['red', 'green'])
chart.showLabels = False
chart.marginLeft = 20
chart.marginRight = 0
chart.marginBottom = 20
elif isinstance(data_provider, DeliveryPlaceDetailsExtended):
chart = PieChart(data_provider.chart_title, '',
[{'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])} for row in rows[1:]])
chart.showLabels = False
elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)):
chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 150
chart.marginLeft = 45
chart.marginRight = 0
if isinstance(data_provider, ImmunizationOverview):
chart.stacked = True
chart.add_dataset('Percentage',
[{'x': row[0]['html'],
'y': int(row[3]['html'][:-1]) / 100.0} for row in rows],
color='green')
chart.add_dataset('Dropout Percentage',
[{'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows],
color='red')
else:
chart.add_dataset('Percentage',
[{'x': row[0]['html'], 'y':int(row[-1]['html'][:-1]) / 100.0} for row in rows])
elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended):
chart1 = MultiBarChart('ANC Visits', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%'))
chart2 = MultiBarChart('Maternal TT & IFA', x_axis=Axis(x_label), y_axis=Axis(y_label, '.2%'))
chart1.rotateLabels = -45
chart2.rotateLabels = -45
chart1.marginBottom = 150
chart2.marginBottom = 150
chart1.marginLeft = 20
chart2.marginLeft = 45
chart1.marginRight = 0
chart2.marginRight = 0
chart1.add_dataset('Percentage', [{'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[1:6]])
chart2.add_dataset('Percentage', [{'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows[6:12]])
return [chart1, chart2]
elif isinstance(data_provider, ChildrenDeathsByMonth):
chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label, dateFormat="%B"),
y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 50
chart.marginLeft = 20
chart.add_dataset('Percentage', [{'x': row[0],
'y': int(row[-1]['html'][:-1]) / 100.0} for row in rows])
else:
chart = PieChart(data_provider.chart_title, '', [{'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])} for row in rows])
chart.showLabels = False
chart.marginLeft = 20
chart.marginRight = 0
chart.marginBottom = 0
return [chart]
def charts(self):
case_finding_sql_data = self.case_finding_sql_data[0]
sputum_conversion_report = ReportFactory.from_spec(
StaticReportConfiguration.by_id('static-%s-sputum_conversion' % self.domain), include_prefilters=True
)
filter_values = {'date': QuarterFilter.get_value(self.request, self.domain)}
locations_id = [
Choice(value=location_id, display='') for location_id in self.report_config.locations_id
if location_id
]
if locations_id:
filter_values['village'] = locations_id
sputum_conversion_report.set_filter_values(filter_values)
sputum_conversion_data = sputum_conversion_report.get_data()[0]
charts_sql_data = self.charts_sql_data[0]
treatment_outcome_sql_data = self.treatment_outcome_sql_data[0]
default_value = {'sort_key': 0}
chart = PieChart(title=_('Cases by Gender'), key='gender', values=[])
chart.data = [
{'label': _('Male'), 'value': case_finding_sql_data.get('male_total', default_value)['sort_key']},
{
'label': _('Female'),
'value': case_finding_sql_data.get('female_total', default_value)['sort_key']
},
{
'label': _('Transgender'),
'value': case_finding_sql_data.get('transgender_total', default_value)['sort_key']
}
]
chart2 = MultiBarChart(_('Cases By Type'), x_axis=Axis(''), y_axis=Axis(''))
chart2.stacked = False
chart2.showLegend = False
positive_smear = case_finding_sql_data.get('new_positive_tb_pulmonary', default_value)['sort_key']
negative_smear = case_finding_sql_data.get('new_negative_tb_pulmonary', default_value)['sort_key']
positive_extra_pulmonary = case_finding_sql_data.get(
'new_positive_tb_extrapulmonary', default_value
)['sort_key']
relapse_cases = case_finding_sql_data.get('recurrent_positive_tb', default_value)['sort_key']
failure_cases = case_finding_sql_data.get('failure_positive_tb', default_value)['sort_key']
lfu_cases = case_finding_sql_data.get('lfu_positive_tb', default_value)['sort_key']
others_cases = case_finding_sql_data.get('others_positive_tb', default_value)['sort_key']
chart2.add_dataset(
_('New'),
[
{'x': 'Smear +ve', 'y': positive_smear},
{'x': 'Smear -ve', 'y': negative_smear},
{'x': 'EP', 'y': positive_extra_pulmonary}
]
)
chart2.add_dataset(
_('Retreatment'), [
{'x': 'Relapse', 'y': relapse_cases},
{'x': 'Failure', 'y': failure_cases},
{'x': 'Treatment After Default', 'y': lfu_cases},
{'x': 'Others', 'y': others_cases}
]
)
chart3 = MultiBarChart('Sputum Conversion By Patient Type', Axis(''), Axis(''))
chart3.stacked = True
chart3.add_dataset('Positive', [
{
'x': _('New Sputum +ve (2 month IP)'),
'y': sputum_conversion_data.get('new_sputum_positive_patient_2months_ip', 0)
},
{
'x': _('New Sputum +ve (3 month IP)'),
'y': sputum_conversion_data.get('new_sputum_positive_patient_3months_ip', 0)
},
{
'x': _('Cat II (3 month IP)'),
'y': sputum_conversion_data.get('positive_endofip_patients_cat2', 0)
},
])
chart3.add_dataset(_('Negative'), [
{
'x': _('New Sputum +ve (2 month IP)'),
'y': sputum_conversion_data.get('new_sputum_negative_patient_2months_ip', 0)
},
{
'x': _('New Sputum +ve (3 month IP)'),
'y': sputum_conversion_data.get('new_sputum_negative_patient_3months_ip', 0)
},
{
'x': _('Cat II (3 month IP)'),
'y': sputum_conversion_data.get('negative_endofip_patients_cat2', 0)
},
])
chart3.add_dataset('NA', [
{
'x': _('New Sputum +ve (2 month IP)'),
'y': sputum_conversion_data.get('new_sputum_na_patient_2months_ip', 0)
},
{
'x': _('New Sputum +ve (3 month IP)'),
'y': sputum_conversion_data.get('new_sputum_na_patient_3months_ip', 0)
},
{
'x': _('Cat II (3 month IP)'),
'y': sputum_conversion_data.get('na_endofip_patients_cat2', 0)
},
])
chart4 = PieChart(
title=_('Total number of patients by category'), key='', values=[]
)
chart4.data = [
{
'label': _('Cat1'),
'value': charts_sql_data.get('cat1_patients', default_value)['sort_key']
},
{
'label': _('Cat2'),
'value': charts_sql_data.get('cat2_patients', default_value)['sort_key']
}
]
chart5 = MultiBarChart('Outcome By Type', Axis(''), Axis(''))
chart5.stacked = True
chart5.add_dataset(_('Cured'), [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_cured', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get('recurrent_patients_cured', default_value)['sort_key']
}
])
chart5.add_dataset('Treatment Complete', [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_treatment_complete', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get(
'recurrent_patients_treatment_complete', default_value)['sort_key']
}
])
chart5.add_dataset('Died', [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_died', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get('recurrent_patients_died', default_value)['sort_key']
}
])
chart5.add_dataset(_('Failure'), [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_treatment_failure', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get(
'recurrent_patients_treatment_failure', default_value
)['sort_key']
}
])
chart5.add_dataset(_('Loss to Follow-up'), [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_loss_to_follow_up', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get(
'recurrent_patients_loss_to_follow_up', default_value
)['sort_key']
}
])
chart5.add_dataset(_('Regimen Changed'), [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_regimen_changed', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get(
'recurrent_patients_regimen_changed', default_value
)['sort_key']
}
])
chart5.add_dataset('Not Evaluated', [
{
'x': _('New'),
'y': treatment_outcome_sql_data.get('new_patients_not_evaluated', default_value)['sort_key']
},
{
'x': _('Retreatment'),
'y': treatment_outcome_sql_data.get('recurrent_patients_not_evaluated', default_value)['sort_key']
}
])
return [
chart,
chart2,
chart3,
chart4,
chart5
]
def get_chart(self, rows, x_label, y_label, data_provider):
def _get_label_with_percentage(row):
return "%s [%d: %s%%]" % (row[0]["html"], int(row[-2]["html"]), str(int(row[-1]["html"][:-1])))
if isinstance(data_provider, NutritionBirthWeightDetails):
chart = PieChart(
data_provider.chart_title,
"",
[{"label": _get_label_with_percentage(row), "value": int(row[-1]["html"][:-1])} for row in rows[2:]],
["red", "green"],
)
chart.showLabels = False
chart.marginLeft = 20
chart.marginRight = 0
chart.marginBottom = 20
elif isinstance(data_provider, DeliveryPlaceDetailsExtended):
chart = PieChart(
data_provider.chart_title,
"",
[{"label": _get_label_with_percentage(row), "value": int(row[-1]["html"][:-1])} for row in rows[1:]],
)
chart.showLabels = False
elif isinstance(data_provider, (PostnatalCareOverview, ImmunizationOverview)):
chart = MultiBarChart(data_provider.chart_title, x_axis=Axis(x_label), y_axis=Axis(y_label, ".2%"))
chart.rotateLabels = -45
chart.marginBottom = 150
chart.marginLeft = 45
chart.marginRight = 0
if isinstance(data_provider, ImmunizationOverview):
chart.stacked = True
chart.add_dataset(
"Percentage",
[{"x": row[0]["html"], "y": int(row[3]["html"][:-1]) / 100.0} for row in rows],
color="green",
)
chart.add_dataset(
"Dropout Percentage",
[{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows],
color="red",
)
else:
chart.add_dataset(
"Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows]
)
elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended):
chart1 = MultiBarChart("ANC Visits", x_axis=Axis(x_label), y_axis=Axis(y_label, ".2%"))
chart2 = MultiBarChart("Maternal TT & IFA", x_axis=Axis(x_label), y_axis=Axis(y_label, ".2%"))
chart1.rotateLabels = -45
chart2.rotateLabels = -45
chart1.marginBottom = 150
chart2.marginBottom = 150
chart1.marginLeft = 20
chart2.marginLeft = 45
chart1.marginRight = 0
chart2.marginRight = 0
chart1.add_dataset(
"Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows[1:6]]
)
chart2.add_dataset(
"Percentage", [{"x": row[0]["html"], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows[6:12]]
)
return [chart1, chart2]
elif isinstance(data_provider, ChildrenDeathsByMonth):
chart = MultiBarChart(
data_provider.chart_title, x_axis=Axis(x_label, dateFormat="%B"), y_axis=Axis(y_label, ".2%")
)
chart.rotateLabels = -45
chart.marginBottom = 50
chart.marginLeft = 20
chart.add_dataset("Percentage", [{"x": row[0], "y": int(row[-1]["html"][:-1]) / 100.0} for row in rows])
else:
chart = PieChart(
data_provider.chart_title,
"",
[{"label": _get_label_with_percentage(row), "value": int(row[-1]["html"][:-1])} for row in rows],
)
chart.showLabels = False
chart.marginLeft = 20
chart.marginRight = 0
chart.marginBottom = 0
return [chart]
def charts(self):
case_finding_sql_data = self.case_finding_sql_data[0]
sputum_conversion_report = ReportFactory.from_spec(
StaticReportConfiguration.by_id('static-%s-sputum_conversion' %
self.domain),
include_prefilters=True)
filter_values = {'date': self.datespan}
locations_id = [
Choice(value=location_id, display='')
for location_id in self.report_config.locations_id if location_id
]
if locations_id:
filter_values['village'] = locations_id
if self.report_config.is_migrated is not None:
filter_values['is_migrated'] = Choice(
value=self.report_config.is_migrated, display='')
sputum_conversion_report.set_filter_values(filter_values)
sputum_conversion_data = sputum_conversion_report.get_data()[0]
charts_sql_data = self.charts_sql_data[0]
treatment_outcome_sql_data = self.treatment_outcome_sql_data[0]
default_value = {'sort_key': 0}
chart = PieChart(title=_('Cases by Gender'), key='gender', values=[])
chart.data = [{
'label':
_('Male'),
'value':
case_finding_sql_data.get('male_total', default_value)['sort_key']
}, {
'label':
_('Female'),
'value':
case_finding_sql_data.get('female_total',
default_value)['sort_key']
}, {
'label':
_('Transgender'),
'value':
case_finding_sql_data.get('transgender_total',
default_value)['sort_key']
}]
chart2 = MultiBarChart(_('Cases By Type'),
x_axis=Axis(''),
y_axis=Axis(''))
chart2.stacked = False
chart2.showLegend = False
positive_smear = case_finding_sql_data.get('new_positive_tb_pulmonary',
default_value)['sort_key']
negative_smear = case_finding_sql_data.get('new_negative_tb_pulmonary',
default_value)['sort_key']
positive_extra_pulmonary = case_finding_sql_data.get(
'new_positive_tb_extrapulmonary', default_value)['sort_key']
relapse_cases = case_finding_sql_data.get('recurrent_positive_tb',
default_value)['sort_key']
failure_cases = case_finding_sql_data.get('failure_positive_tb',
default_value)['sort_key']
lfu_cases = case_finding_sql_data.get('lfu_positive_tb',
default_value)['sort_key']
others_cases = case_finding_sql_data.get('others_positive_tb',
default_value)['sort_key']
chart2.add_dataset(_('New'), [{
'x': 'Smear +ve',
'y': positive_smear
}, {
'x': 'Smear -ve',
'y': negative_smear
}, {
'x': 'EP',
'y': positive_extra_pulmonary
}])
chart2.add_dataset(_('Retreatment'), [{
'x': 'Relapse',
'y': relapse_cases
}, {
'x': 'Failure',
'y': failure_cases
}, {
'x': 'Treatment After Default',
'y': lfu_cases
}, {
'x': 'Others',
'y': others_cases
}])
chart3 = MultiBarChart('Sputum Conversion By Patient Type', Axis(''),
Axis(''))
chart3.stacked = True
chart3.add_dataset('Positive', [
{
'x':
_('New Sputum +ve (2 month IP)'),
'y':
sputum_conversion_data.get(
'new_sputum_positive_patient_2months_ip', 0)
},
{
'x':
_('New Sputum +ve (3 month IP)'),
'y':
sputum_conversion_data.get(
'new_sputum_positive_patient_3months_ip', 0)
},
{
'x':
_('Cat II (3 month IP)'),
'y':
sputum_conversion_data.get('positive_endofip_patients_cat2', 0)
},
])
chart3.add_dataset(_('Negative'), [
{
'x':
_('New Sputum +ve (2 month IP)'),
'y':
sputum_conversion_data.get(
'new_sputum_negative_patient_2months_ip', 0)
},
{
'x':
_('New Sputum +ve (3 month IP)'),
'y':
sputum_conversion_data.get(
'new_sputum_negative_patient_3months_ip', 0)
},
{
'x':
_('Cat II (3 month IP)'),
'y':
sputum_conversion_data.get('negative_endofip_patients_cat2', 0)
},
])
chart3.add_dataset('NA', [
{
'x':
_('New Sputum +ve (2 month IP)'),
'y':
sputum_conversion_data.get('new_sputum_na_patient_2months_ip',
0)
},
{
'x':
_('New Sputum +ve (3 month IP)'),
'y':
sputum_conversion_data.get('new_sputum_na_patient_3months_ip',
0)
},
{
'x': _('Cat II (3 month IP)'),
'y': sputum_conversion_data.get('na_endofip_patients_cat2', 0)
},
])
chart4 = PieChart(title=_('Total number of patients by category'),
key='',
values=[])
chart4.data = [{
'label':
_('Cat1'),
'value':
charts_sql_data.get('cat1_patients', default_value)['sort_key']
}, {
'label':
_('Cat2'),
'value':
charts_sql_data.get('cat2_patients', default_value)['sort_key']
}]
chart5 = MultiBarChart('Outcome By Type', Axis(''), Axis(''))
chart5.stacked = True
chart5.add_dataset(_('Cured'), [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_cured',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get('recurrent_patients_cured',
default_value)['sort_key']
}])
chart5.add_dataset('Treatment Complete', [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_treatment_complete',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get(
'recurrent_patients_treatment_complete',
default_value)['sort_key']
}])
chart5.add_dataset('Died', [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_died',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get('recurrent_patients_died',
default_value)['sort_key']
}])
chart5.add_dataset(_('Failure'), [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_treatment_failure',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get(
'recurrent_patients_treatment_failure',
default_value)['sort_key']
}])
chart5.add_dataset(_('Loss to Follow-up'), [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_loss_to_follow_up',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get(
'recurrent_patients_loss_to_follow_up',
default_value)['sort_key']
}])
chart5.add_dataset(_('Regimen Changed'), [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_regimen_changed',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get(
'recurrent_patients_regimen_changed',
default_value)['sort_key']
}])
chart5.add_dataset('Not Evaluated', [{
'x':
_('New'),
'y':
treatment_outcome_sql_data.get('new_patients_not_evaluated',
default_value)['sort_key']
}, {
'x':
_('Retreatment'),
'y':
treatment_outcome_sql_data.get('recurrent_patients_not_evaluated',
default_value)['sort_key']
}])
return [chart, chart2, chart3, chart4, chart5]
def charts(self):
chart = MultiBarChart(None, Axis(''), Axis(''))
chart.height = 400
chart.marginBottom = 100
chart.data = self.get_data_for_graph()
return [chart]
def get_chart(self, rows, x_label, y_label, data_provider):
def _get_label_with_percentage(row):
return "%s [%d: %s%%]" % (row[0]['html'], int(
row[-2]['html']), str(int(row[-1]['html'][:-1])))
if isinstance(data_provider, NutritionBirthWeightDetails):
chart = PieChart(data_provider.chart_title, '',
[{
'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])
} for row in rows[2:]], ['red', 'green'])
chart.showLabels = False
chart.marginLeft = 20
chart.marginRight = 0
chart.marginBottom = 20
elif isinstance(data_provider, DeliveryPlaceDetailsExtended):
chart = PieChart(data_provider.chart_title, '',
[{
'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])
} for row in rows[1:]])
chart.showLabels = False
elif isinstance(data_provider,
(PostnatalCareOverview, ImmunizationOverview)):
chart = MultiBarChart(data_provider.chart_title,
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 150
chart.marginLeft = 45
chart.marginRight = 0
if isinstance(data_provider, ImmunizationOverview):
chart.stacked = True
chart.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': int(row[3]['html'][:-1]) / 100.0
} for row in rows],
color='green')
chart.add_dataset('Dropout Percentage',
[{
'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0
} for row in rows],
color='red')
else:
chart.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0
} for row in rows])
elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended):
chart1 = MultiBarChart('ANC Visits',
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.2%'))
chart2 = MultiBarChart('Maternal TT & IFA',
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.2%'))
chart1.rotateLabels = -45
chart2.rotateLabels = -45
chart1.marginBottom = 150
chart2.marginBottom = 150
chart1.marginLeft = 20
chart2.marginLeft = 45
chart1.marginRight = 0
chart2.marginRight = 0
chart1.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0
} for row in rows[1:6]])
chart2.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': int(row[-1]['html'][:-1]) / 100.0
} for row in rows[6:12]])
return [chart1, chart2]
elif isinstance(data_provider, ChildrenDeathsByMonth):
chart = MultiBarChart(data_provider.chart_title,
x_axis=Axis(x_label, dateFormat="%B"),
y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 50
chart.marginLeft = 20
chart.add_dataset('Percentage',
[{
'x': row[0],
'y': int(row[-1]['html'][:-1]) / 100.0
} for row in rows])
else:
chart = PieChart(data_provider.chart_title, '',
[{
'label': _get_label_with_percentage(row),
'value': int(row[-1]['html'][:-1])
} for row in rows])
chart.showLabels = False
chart.marginLeft = 20
chart.marginRight = 0
chart.marginBottom = 0
return [chart]
def get_chart(self, rows, columns, x_label, y_label):
chart = MultiBarChart('Adoption of Practices', x_axis=Axis(x_label), y_axis=Axis(y_label, '%'))
if self.report_config['group'] == 'domain':
chart.height = 550
chart.rotateLabels = -55
chart.marginBottom = 250
elif self.report_config['group'] == 'practice':
chart.height = 700
chart.rotateLabels = -55
chart.marginBottom = 400
else:
chart.height = 320
chart.rotateLabels = 0
chart.marginBottom = 50
chart.marginLeft = 200
chart.marginRight = 150
self._chart_data(chart, columns, rows)
return [chart]
def charts(self):
if 'location_id' in self.request.GET: # hack: only get data if we're loading an actual report
chart = MultiBarChart(None, Axis(_('Products')), Axis(_('% of Facilities'), ',.1d'))
chart.data = self.get_data_for_graph()
return [chart]
def get_chart(self, rows, x_label, y_label, data_provider):
def _get_label_with_percentage(row):
return "%s [%s%%]" % (row[0], str(float(row[-1]['html'][:-1])))
if isinstance(data_provider,
(ClosedMotherCasesBreakdown, ClosedChildCasesBreakdown)):
chart = PieChart('', '', [{
'label': _get_label_with_percentage(row),
'value': float(row[-1]['html'][:-1])
} for row in rows])
elif isinstance(data_provider, NutritionBirthWeightDetails):
chart = PieChart('BirthWeight', '', [{
'label':
"%s [%s%%]" %
(row[0]['html'], str(float(row[-1]['html'][:-1]))),
'value':
float(row[-1]['html'][:-1])
} for row in rows[1:]], ['red', 'green'])
elif isinstance(data_provider, DeliveryPlaceDetailsExtended):
chart = PieChart('', '', [{
'label': _get_label_with_percentage(row),
'value': float(row[-1]['html'][:-1])
} for row in rows[1:]])
elif isinstance(data_provider,
(PostnatalCareOverview, ImmunizationOverview)):
chart = MultiBarChart('',
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 120
if isinstance(data_provider, ImmunizationOverview):
chart.stacked = True
chart.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': float(row[3]['html'][:-1]) / 100
} for row in rows],
color='green')
chart.add_dataset('Dropout Percentage',
[{
'x': row[0]['html'],
'y': float(row[-1]['html'][:-1]) / 100
} for row in rows],
color='red')
else:
chart.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': float(row[-1]['html'][:-1]) / 100
} for row in rows])
elif isinstance(data_provider, AnteNatalCareServiceOverviewExtended):
chart1 = MultiBarChart('',
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.2%'))
chart2 = MultiBarChart('',
x_axis=Axis(x_label),
y_axis=Axis(y_label, '.2%'))
chart1.rotateLabels = -45
chart2.rotateLabels = -45
chart1.marginBottom = 120
chart2.marginBottom = 120
chart1.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': float(row[-1]['html'][:-1]) / 100
} for row in rows[1:6]])
chart2.add_dataset('Percentage',
[{
'x': row[0]['html'],
'y': float(row[-1]['html'][:-1]) / 100
} for row in rows[6:12]])
return [chart1, chart2]
elif isinstance(data_provider, ChildrenDeathsByMonth):
chart = LineChart('Seasonal Variation of Child Deaths',
x_axis=Axis(x_label, dateFormat="%B"),
y_axis=Axis(y_label, '.2%'))
chart.rotateLabels = -45
chart.marginBottom = 120
months_mapping = dict(
(v, k) for k, v in enumerate(calendar.month_abbr))
chart.add_dataset(
'Percentage',
[{
'x': datetime.date(1, months_mapping[row[0][:3]], 1),
'y': float(row[-1]['html'][:-1]) / 100
} for row in rows])
else:
chart = PieChart('', '', [{
'label':
"%s [%s%%]" %
(row[0]['html'], str(float(row[-1]['html'][:-1]))),
'value':
float(row[-1]['html'][:-1])
} for row in rows])
return [chart]
