def medical_cases_chart_data():
"""Generate data entries for medical cases chart template."""
ignore_dates = ('2020-02-04', '2020-02-21', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
out = []
for i, (date, total, cured, death) in enumerate(zip(
data.dates, data.total_cases, data.cured_cases, data.death_cases)):
# Comma-delimited digit grouping.
total_comma = '' if total == 0 else '{:,}'.format(total)
death_comma = '' if death == 0 else '{:,}'.format(death)
# Previous numbers.
if i == 0:
prev_total = 0
prev_death = 0
else:
prev_total = data.total_cases[i - 1]
prev_death = data.death_cases[i - 1]
# Growth percent expressions
growth_expr = '+{{{{#expr:({}/{} - 1)*100 round 0}}}}%'
if total != prev_total:
if prev_total == 0:
total_growth_expr = 'firstright1=y'
else:
total_growth_expr = growth_expr.format(total, prev_total)
else:
total_growth_expr = ''
if death != prev_death:
if prev_death == 0:
death_growth_expr = 'firstright2=y'
else:
death_growth_expr = growth_expr.format(death, prev_death)
else:
death_growth_expr = ''
# date;deaths;cured;total;;;total;%age;deaths;%age
out.append('{};{};{};{};;;{:};{};{:};{}'
.format(date, death, cured, total,
total_comma, total_growth_expr,
death_comma, death_growth_expr))
# Print continuation lines.
curr_index = data.dates.index(date)
if curr_index < len(data.dates) - 1:
curr_datetime = data.datetimes[curr_index]
next_datetime = data.datetimes[curr_index + 1]
if (next_datetime - curr_datetime).days != 1:
month = next_datetime.strftime('%b')
out.append(';{};{};{};;;{:,};;;;divisor=4;collapsed=y;id={}'
.format('' if death == 0 else death,
'' if cured == 0 else cured,
total, total, month.lower()))
return '\n'.join(out)
def wiki1():
"""Generate Wikipedia markup code for medical cases chart template."""
ignore_dates = ('2020-02-04', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
update = source = fetch_wiki_source(WIKI_SRC1)
update = replace_within('Total confirmed -->\n', '\n<!-- Date', update,
wiki1_data(data))
log.log('Writing wiki1.txt and wiki1.diff ...')
open('wiki1.txt', 'w').write(update)
open('wiki1.diff', 'w').write(diff(source, update))
def main():
"""Render the home page."""
# Copy static files.
if os.path.isdir('_site'):
shutil.rmtree('_site')
os.mkdir("_site")
#shutil.copytree('static', '_site')
shutil.copy('indiacovid19.json', '_site')
# Load COVID-19 archive data.
log.log('Loading archive ...')
data = archive.load()
log.log('Found entries for {} days', len(data.dates))
# Format placeholder values.
last_updated = data.last_ref_datetimes[-1].strftime('%d %b %Y %H:%M IST')
new_growth = '{:+.0f}%'.format(data.total_growths[-1])
doubling_time = '{:.1f}'.format(data.doubling_times[-1])
cured_percent = '{:.0f}%'.format(data.cured_percents[-1])
death_percent = '{:.0f}%'.format(data.death_percents[-1])
cured_ratio = '{:.1f}'.format(data.cured_ratios[-1])
img_max_width = round(len(data.dates) * 100 / 40)
# Render home page.
log.log('Rendering home page ...')
layout = fread('layout/index.html')
output = render(layout,
last_total=data.total_cases[-1],
last_active=data.active_cases[-1],
last_cured=data.cured_cases[-1],
last_death=data.death_cases[-1],
last_date=data.dates[-1],
last_updated=last_updated,
new_cases=data.total_diffs[-1],
new_growth=new_growth,
doubling_time=doubling_time,
cured_percent=cured_percent,
death_percent=death_percent,
cured_ratio=cured_ratio,
case_links=case_links(data),
case_rows=case_rows(data))
fwrite('_site/index.html', output)
# Render CSS.
log.log('Rendering stylesheet ...')
layout = fread('layout/main.css')
output = render(layout, img_max_width=img_max_width)
fwrite('_site/main.css', output)
# Plot graphs.
log.log('Rendering graphs ...')
plot.plot_all(data)
log.log('Done')
webbrowser.open('_site/index.html')
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-w', action='store_true',
help='Plot recent graphs only with 16:9 aspect ratio')
args = parser.parse_args()
data = archive.load()
if args.w:
plot_recent_wide(data)
else:
plot_all(data)
def medical_cases():
"""Generate Wikipedia markup for medical cases template."""
data = mohfw.load()
output = open('layout/medical_cases.txt').read()
output = region_table_rows(data, output)
output = region_table_foot(data, output)
ignore_dates = ('2020-02-04', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
output = medical_cases_plots(data, output)
return output
def medical_cases():
"""Generate Wikipedia markup for medical cases template."""
home_data = mohfw.load_home_data()
dash_data = mohfw.load_dash_data()
if home_data.ref_datetime >= dash_data.ref_datetime:
data = home_data
log.log('Selected home page data')
else:
data = dash_data
data.foreign = home_data.foreign
log.log('Selected dashboard data')
output = open('layout/medical_cases.txt').read()
output = region_table_rows(data, output)
output = region_table_foot(data, output)
ignore_dates = ('2020-02-04', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
output = medical_cases_plots(data, output)
return output
def medical_cases_chart_data():
"""Generate data entries for medical cases chart template."""
ignore_dates = ('2020-02-04', '2020-02-21', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
out = []
for i, (date, total, cured, death) in enumerate(zip(
data.dates, data.total_cases, data.cured_cases, data.death_cases)):
# date;deaths;cured;total
out.append('{};{};{};{}'.format(date, death, cured, total))
# Print continuation lines.
curr_index = data.dates.index(date)
if curr_index < len(data.dates) - 1:
curr_datetime = data.datetimes[curr_index]
next_datetime = data.datetimes[curr_index + 1]
if (next_datetime - curr_datetime).days != 1:
month = next_datetime.strftime('%b')
out.append(';{};{};{}'.format('' if death == 0 else death,
'' if cured == 0 else cured,
'' if total == 0 else total))
return '\n'.join(out)
def wiki3():
"""Generate Wikipedia markup code for statistics charts."""
ignore_dates = ('2020-02-04', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
update = source = fetch_wiki_source(WIKI_SRC3)
full_dates = ', '.join(x.strftime('%Y-%m-%d') for x in data.datetimes)
# Cases.
total_cases = ', '.join(str(y) for y in data.total_cases)
active_cases = ', '.join(str(y) for y in data.active_cases)
cured_cases = ', '.join(str(y) for y in data.cured_cases)
death_cases = ', '.join(str(y) for y in data.death_cases)
# New cases.
total_dates, total_diffs, total_avgs = \
format_diffs(*expand_diffs(data.datetimes, data.total_diffs))
cured_dates, cured_diffs, cured_avgs = \
format_diffs(*expand_diffs(data.datetimes, data.cured_diffs))
death_dates, death_diffs, death_avgs = \
format_diffs(*trim_zeros(*expand_diffs(data.datetimes, data.death_diffs)))
# Daily new cases vs. active cases.
vs_dates, vs_percents, vs_avgs, vs_cagrs = \
vs_data(data.datetimes, data.total_diffs, data.active_cases)
# CFR
cfr_start = data.dates.index('2020-03-12')
cfr_dates = ', '.join(
x.strftime('%Y-%m-%d') for x in data.datetimes[cfr_start:])
cfr_percents = ', '.join('{:.2f}'.format(y)
for y in data.cfr_percents[cfr_start:])
# For testing regex matches only.
"""
full_dates = '@@full_dates@@'
total_cases = '@@total_cases@@'
active_cases = '@@active_cases@@'
cured_cases = '@@cured_cases@@'
death_cases = '@@death_cases@@'
total_dates = '@@total_dates@@'
total_diffs = '@@total_diffs@@'
total_avgs= '@@total_avgs@@'
cured_dates = '@@cured_dates@@'
cured_diffs = '@@cured_diffs@@'
cured_avgs= '@@cured_avgs@@'
death_dates = '@@death_dates@@'
death_diffs = '@@death_diffs@@'
death_avgs= '@@death_avgs@@'
vs_dates = '@@vs_dates@@'
vs_percents = '@@vs_percents@@'
vs_avgs = '@@vs_avgs@@'
vs_cagrs = '@@vs_cagrs@@'
cfr_dates, cfr_percents = '@@cfr_dates@@', '@@cfr_percents@@'
"""
# Linear graph.
update = replace_within('= Total confirmed .*?=.*? x = ', '\n', update,
full_dates)
update = replace_within('= Total confirmed .*?=.*? y1 =.*?--> ', '\n',
update, total_cases)
update = replace_within('= Total confirmed .*?=.*? y2 =.*?--> ', '\n',
update, active_cases)
update = replace_within('= Total confirmed .*?=.*? y3 =.*?--> ', '\n',
update, cured_cases)
update = replace_within('= Total confirmed .*?=.*? y4 =.*?--> ', '\n',
update, death_cases)
# Logarithmic graph.
update = replace_within('= Total confirmed .*?=.*?log.*? x = ', '\n',
update, full_dates)
update = replace_within('= Total confirmed .*?=.*?log.*? y1 =.*?--> ',
'\n', update, total_cases)
update = replace_within('= Total confirmed .*?=.*?log.*? y2 =.*?--> ',
'\n', update, active_cases)
update = replace_within('= Total confirmed .*?=.*?log.*? y3 =.*?--> ',
'\n', update, cured_cases)
update = replace_within('= Total confirmed .*?=.*?log.*? y4 =.*?--> ',
'\n', update, death_cases)
# Daily new cases.
update = replace_within('= Daily new cases =.*? x = ', '\n', update,
total_dates)
update = replace_within('= Daily new cases =.*? y1 =.*?--> ', '\n', update,
total_diffs)
update = replace_within('= Daily new cases =.*? y2 =.*?--> ', '\n', update,
total_avgs)
# Daily new deaths.
update = replace_within('= Daily new deaths =.*? x = ', '\n', update,
death_dates)
update = replace_within('= Daily new deaths =.*? y1 =.*?--> ', '\n',
update, death_diffs)
update = replace_within('= Daily new deaths =.*? y2 =.*?--> ', '\n',
update, death_avgs)
# Daily new recoveries.
update = replace_within('= Daily new recoveries =.*? x = ', '\n', update,
cured_dates)
update = replace_within('= Daily new recoveries =.*? y1 =.*?--> ', '\n',
update, cured_diffs)
update = replace_within('= Daily new recoveries =.*? y2 =.*?--> ', '\n',
update, cured_avgs)
# Daily new cases vs. active cases.
update = replace_within('= Daily new cases vs active cases =.*? x = ',
'\n', update, vs_dates)
update = replace_within(
'= Daily new cases vs active cases =.*? y1 =.*?--> ', '\n', update,
vs_percents)
update = replace_within(
'= Daily new cases vs active cases =.*? y2 =.*?--> ', '\n', update,
vs_avgs)
update = replace_within(
'= Daily new cases vs active cases =.*? y3 =.*?--> ', '\n', update,
vs_cagrs)
# CFR.
update = replace_within('= Case fatality rate =.*? x = ', '\n', update,
cfr_dates)
update = replace_within('= Case fatality rate =.*? y = ', '\n', update,
cfr_percents)
log.log('Writing wiki3.txt and wiki3.diff ...')
open('wiki3.txt', 'w').write(update)
open('wiki3.diff', 'w').write(diff(source, update))
def main():
data = archive.load()
plot_all(data)
def wiki3():
"""Generate Wikipedia markup code for statistics charts."""
ignore_dates = ('2020-02-04', '2020-02-27')
data = archive.load(ignore_dates=ignore_dates)
update = source = fetch_wiki_source(WIKI_SRC3)
mini_dates = ', '.join(x.strftime('%d %b %Y').lstrip('0')
for x in data.datetimes)
full_dates = ', '.join(x.strftime('%d %b %Y').lstrip('0')
for x in data.datetimes)
# Cases.
total_cases = ', '.join(str(y) for y in data.total_cases)
active_cases = ', '.join(str(y) for y in data.active_cases)
cured_cases = ', '.join(str(y) for y in data.cured_cases)
death_cases = ', '.join(str(y) for y in data.death_cases)
# New cases.
total_dates, total_diffs = clean_data(data.datetimes, data.total_diffs)
cured_dates, cured_diffs = clean_data(data.datetimes, data.cured_diffs)
death_dates, death_diffs = clean_data(data.datetimes, data.death_diffs)
# CFR
cfr_start = data.dates.index('2020-03-12')
cfr_dates = ', '.join(x.strftime('%d %b %Y').lstrip('0')
for x in data.datetimes[cfr_start:])
cfr_percents = ', '.join('{:.2f}'.format(y) for
y in data.cfr_percents[cfr_start:])
# For testing regex matches only.
"""
mini_dates = '@@mini_dates@@'
full_dates = '@@full_dates@@'
total_cases = '@@total_cases@@'
active_cases = '@@active_cases@@'
cured_cases = '@@cured_cases@@'
death_cases = '@@death_cases@@'
total_dates, total_diffs = '@@total_dates@@', '@@total_diffs@@'
cured_dates, cured_diffs = '@@cured_dates@@', '@@cured_diffs@@'
death_dates, death_diffs = '@@death_dates@@', '@@death_diffs@@'
cfr_dates, cfr_percents = '@@cfr_dates@@', '@@cfr_percents@@'
"""
# Linear graph.
update = replace_within('= Total confirmed.*?x = ', '\n',
update, full_dates)
update = replace_within('= Total confirmed.*?y1 =.*?--> ', '\n',
update, total_cases)
update = replace_within('= Total confirmed.*?y2 =.*?--> ', '\n',
update, active_cases)
update = replace_within('= Total confirmed.*?y3 =.*?--> ', '\n',
update, cured_cases)
update = replace_within('= Total confirmed.*?y4 =.*?--> ', '\n',
update, death_cases)
# Logarithmic graph.
update = replace_within('= Total confirmed.*?log.*?x = ', '\n',
update, full_dates)
update = replace_within('= Total confirmed.*?log.*?y1 =.*?--> ', '\n',
update, total_cases)
update = replace_within('= Total confirmed.*?log.*?y2 =.*?--> ', '\n',
update, active_cases)
update = replace_within('= Total confirmed.*?log.*?y3 =.*?--> ', '\n',
update, cured_cases)
update = replace_within('= Total confirmed.*?log.*?y4 =.*?--> ', '\n',
update, death_cases)
# Daily new cases.
update = replace_within('= Daily new cases.*?x = ', '\n',
update, total_dates)
update = replace_within('= Daily new cases.*?y = ', '\n',
update, total_diffs)
# Daily new deaths.
update = replace_within('= Daily new deaths.*?x = ', '\n',
update, death_dates)
update = replace_within('= Daily new deaths.*?y = ', '\n',
update, death_diffs)
# Daily new recoveries.
update = replace_within('= Daily new recoveries.*?x = ', '\n',
update, cured_dates)
update = replace_within('= Daily new recoveries.*?y = ', '\n',
update, cured_diffs)
# CFR.
update = replace_within('= Case fatality rate.*?x = ', '\n',
update, cfr_dates)
update = replace_within('= Case fatality rate.*?y = ', '\n',
update, cfr_percents)
open('wiki3.txt', 'w').write(update)
open('wiki3.diff', 'w').write(diff(source, update))
