def scheduler_task():
start_date, end_date = data.get_dates()
for salesman in c.config.SALESMEN:
delete_pdfs()
report_pdf = run_ninja(start_date, end_date, salesman)
send_email('Weekly Sales Report', [salesman['email']],
['*****@*****.**'], [report_pdf])
def blog_post(slug):
if slug.startswith('draft') and config.SHOW_DRAFTS == False:
return render_template('404.html'), 404
key = str('post_%s' % slug)
post = get_post('%s.md' % slug )
tags = get_tags()
dates = get_dates()
return render_template('blog/post.html', post=post, tags=tags,
dates=dates)
def blog_archive(year, month):
key = 'blog_archive_%s_%s' % (year, month)
posts = get_posts()
tags = get_tags()
dates = get_dates()
archive_posts = []
for post in posts:
if post['created'].month == month and post['created'].year == year:
archive_posts.append(post)
return render_template('blog/archive.html', posts=archive_posts, tags=tags,
dates=dates)
def timeline():
dates = get_dates('static/dms_portfolio.json')
time_data = process_timeline('static/dms_portfolio.json')
write_to_json('static/data_time.json', time_data)
return render_template("timeline.html", data=time_data, dates=dates)
def blog_index():
posts = get_posts()[:20]
tags = get_tags()
dates = get_dates()
return render_template( 'blog/index.html', posts=posts, tags=tags,
dates=dates)
def blog_tagged(tag):
tags = get_tags()
dates = get_dates()
tagged_posts = [post for post in get_posts() if tag in post['tags']]
return render_template('blog/tagged.html', tagged_posts=tagged_posts,
tag=tag, tags=tags, dates=dates)
def blog_tags():
tags = get_tags()
dates = get_dates()
return render_template('blog/tags.html',tags=tags, dates=dates)
def grid(df: pd.DataFrame, locs, column: Column,
width, height, out_name,
increment=False, average=1):
fig: plt.Figure = plt.figure(figsize=(width, height), facecolor='papayawhip')
gs = fig.add_gridspec(math.ceil(len(locs)/4), 4) # , wspace=0.05, hspace=0.1)
for i, location in enumerate(locs):
ax: plt.Axes = fig.add_subplot(gs[i])
series: pd.Series = get_series(df, location, column.label, increment, average)
series.plot(ax=ax)
ax.xaxis.set_visible(False)
ax.set_facecolor('whitesmoke')
# Annotate maximum
max_x = series.idxmax()
max_y = series.loc[max_x]
ax.plot(max_x, max_y, 'rx', markersize=8)
ax.set_ylim(bottom=0)
# ax.annotate('peak={}\n{}'.format(int(max_y), time_repr(max_x)),
# xy=(max_x, max_y), xycoords='data',
# xytext=(-50, -0),
# textcoords='offset pixels', ha='right', va='top',
# arrowprops=dict(arrowstyle='->'),
# fontsize='small', fontweight='bold')
# add month markers
month = pd.Timestamp(year=series.index.min().year, month=series.index.min().month+1, day=1)
while month < series.index.max():
ax.axvline(month, ls=':', color='silver', linewidth=1)
ax.text(month, -0.01, month.month_name(), va='top', transform=ax.get_xaxis_transform(), color='grey')
month = month + pd.DateOffset(months=1)
# add a text box with additional information. To automatically place it in the best place, create
# a fake legend (legends have a loc='best' feature), as in:
# https://stackoverflow.com/questions/7045729/automatically-position-text-box-in-matplotlib
# 3 fake handles, one per line in the fake legend
handles = [mpl_patches.Rectangle((0, 0), 1, 1, fc="white", ec="white", lw=0, alpha=0)] * 2
labels = [
# 'confirmed={}'.format(get_outbreak(df, location)),
# 'active={}'.format(get_active(df, location)),
# 'deaths={}'.format(get_deaths(df, location)),
'last={} on {}'.format(int(series.iloc[-1]), time_repr(max_x)),
'peak={} on {}'.format(int(max_y), time_repr(max_x))
]
legend: plt.legend = ax.legend(handles, labels, fontsize='10',
title=location, facecolor=ax.get_facecolor(),
handlelength=0, handletextpad=0, frameon=False,
loc='upper left' if location != 'China' else 'best')
legend_title: plt.Text = legend.get_title()
legend_title.set_fontweight('bold')
legend_title.set_fontsize(12)
legend._legend_box.align = "left"
dates = [time_repr(dt) for dt in get_dates(df)]
fig.suptitle('{}{}{}, from {} to {}'.format(
'Daily ' if increment else '',
column.label,
', {} days average'.format(average) if average > 1 else '',
dates[0],
dates[-1]),
fontsize=14, fontweight='bold')
fig.tight_layout(h_pad=0.1, w_pad=0.8, rect=(0, 0.01, 1, 0.965))
fig.text(1, 0, 'https://github.com/rivasjm/covid19 ', va='bottom', ha='right')
fig.savefig(out_name, facecolor=fig.get_facecolor())
print(''.format(out_name, out_name))