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format_weekly.py
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format_weekly.py
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import utils as utils
import subprocess
# STATIC VALUES
dbl_line = '\n===========================================================\n'
sngl_line = '\n-----------------------------------------------------------\n'
nl = '\n'
def format_posts(data):
# data is a list of dicts
text = ''
text += "TOP POSTS: by Total Engaged Minutes" + sngl_line
for rank, item in enumerate(data, start=1):
headline = item['Title'].title().replace('’T', '’t').replace('’S', '’s').replace("'S", "'s").replace('’M', '’m').replace('’R', '’r')
author = item['Authors'].title()
section = item['Section']
mv = str(round(float(item['Engaged minutes']) / float(item['Visitors']), 2))
v = utils.humanize_number(item['Visitors'], 1)
r = (utils.percentage(item['Returning vis.'], item['Visitors']))
so = (utils.percentage(item['Social refs'], item['Views']))
se = (utils.percentage(item['Search refs'], item['Views']))
o = (utils.percentage(item['Other refs'], item['Views']))
i = (utils.percentage(item['Internal refs'], item['Views']))
di = (utils.percentage(item['Direct refs'], item['Views']))
mo = (utils.percentage(item['Mobile views'], item['Views']))
de = (utils.percentage(item['Desktop views'], item['Views']))
ta = (utils.percentage(item['Tablet views'], item['Views']))
fb = (utils.percentage(item['Fb refs'], item['Social refs']))
tw = (utils.percentage(item['Tw refs'], item['Social refs']))
inte = utils.humanize_number(item['Social interactions'], 1)
text += f'''{rank}. {headline}
By {author} in {section}
VISITORS: {mv} min/visitor, visitors: {v}, returning: {r}%
TRAFFIC %: social {so}, search {se}, other {o}, direct {di}, internal {i}
SOCIAL BREAKDOWN %: FB {fb}, Twitter {tw} | Interactions: {inte}
DEVICES %: mobile {mo}, desktop {de}, tablet {ta}
-----------------------------------------------------------\n'''
return text
def format_site(data, unit, ma):
# data is a dict
text = ''
print(data['postv']['new'])
if len(data['postv']['new']) > 6:
a = (utils.humanize_number(data['postv']['new'], 1)).rjust(5)
else:
a = (utils.humanize_number(data['postv']['new'], 0)).rjust(5)
b = (data['postv']['delta']).rjust(5)
b2 = (data['postv']['kpi_delta']).rjust(5)
c = (data['postv']['kpi_new']).ljust(4)
if len(data['visitors']['new']) > 6:
d = (utils.humanize_number(data['visitors']['new'], 1)).rjust(5)
else:
d = (utils.humanize_number(data['visitors']['new'], 0)).rjust(5)
e = (data['visitors']['delta']).rjust(5)
if len(data['minutes']['new']) > 6:
f = (utils.humanize_number(data['minutes']['new'], 1)).rjust(5)
else:
f = (utils.humanize_number(data['minutes']['new'], 0)).rjust(5)
g = (data['minutes']['delta']).rjust(5)
g2 = (data['minutes']['kpi_new_ma_delta']).rjust(5)
h = (data['minutes']['kpi_new']).ljust(4)
i = utils.percentage(data['postv']['new'], data['pagev']['new'])
j = data['traffic']['fb%'].rjust(2)
k = data['traffic']['fb_ma%'].rjust(2)
l = data['visitor_type']['new'].rjust(2)
m = data['visitor_type']['new_ma%'].rjust(2)
n = data['traffic']['tco%'].rjust(2)
o = data['traffic']['tco_ma%'].rjust(2)
p = data['visitor_type']['returning'].rjust(2)
q = data['visitor_type']['returning_ma%'].rjust(2)
r = data['traffic']['search%'].rjust(2)
s = data['traffic']['search_ma%'].rjust(2)
t = data['traffic']['other%'].rjust(2)
u = data['traffic']['other_ma%'].rjust(2)
v = data['traffic']['direct%'].rjust(2)
w = data['traffic']['direct_ma%'].rjust(2)
x = data['traffic']['internal%'].rjust(2)
y = data['traffic']['internal_ma%'].rjust(2)
z = data['devices']['mobile%'].rjust(2)
aa = data['devices']['mobile_ma%'].rjust(2)
bb = data['devices']['desktop%'].rjust(2)
cc = data['devices']['desktop_ma%'].rjust(2)
dd = data['devices']['tablet%'].rjust(2)
ee = data['devices']['tablet_ma%'].rjust(2)
if len(data['pagev']['new']) > 6:
ff = (utils.humanize_number(data['pagev']['new'], 1)).rjust(5)
else:
ff = (utils.humanize_number(data['pagev']['new'], 0)).rjust(5)
gg = (data['pagev']['delta']).rjust(5)
gg2 = (data['pagev']['kpi_delta']).rjust(5)
hh = (data['pagev']['kpi_new']).ljust(4)
if len(data['visitors']['new_pages']) > 6:
ii = (utils.humanize_number(data['visitors']['new_pages'], 1)).rjust(5)
else:
ii = (utils.humanize_number(data['visitors']['new_pages'], 0)).rjust(5)
jj = (data['visitors']['total_delta']).rjust(5)
if len(data['minutes']['new_pages']) > 6:
kk = (utils.humanize_number(data['minutes']['new_pages'], 1)).rjust(5)
else:
kk = (utils.humanize_number(data['minutes']['new_pages'], 0)).rjust(5)
ll = (data['minutes']['total_delta']).rjust(5)
ll2 = (data['minutes']['kpi_pages_ma_delta']).rjust(5)
mm = (data['minutes']['kpi_pages']).ljust(4)
oo = unit.ljust(5)
nn = data['posts']['new']
pp = data['posts']['kpi_delta']
qq = data['traffic']['fb_pv_ma%'].rjust(5)
rr = data['traffic']['tco_pv_ma%'].rjust(5)
ss = data['traffic']['search_pv_ma%'].rjust(5)
tt = data['traffic']['other_pv_ma%'].rjust(5)
uu = data['traffic']['direct_pv_ma%'].rjust(5)
vv = data['traffic']['internal_pv_ma%'].rjust(5)
ww = data['traffic']['fb_pv_diff'].rjust(6)
xx = data['traffic']['tco_pv_diff'].rjust(6)
yy = data['traffic']['search_pv_diff'].rjust(6)
zz = data['traffic']['other_pv_diff'].rjust(6)
aaa = data['traffic']['direct_pv_diff'].rjust(6)
bbb = data['traffic']['internal_pv_diff'].rjust(6)
text += f'''
=====================================
SITE Posts vs | Pages vs
DETAILS: LW MA% | LW MA%
-----------------------+-------------
Views {a} {b} {ff} {gg}
Visitors {d} {e} {ii} {jj}
Minutes {f} {g} {kk} {ll}
-------------------------------------
PV/V/Day average this month: X.X
-------------------------------------
BOUNCE RATE: XX.X% home page
-------------------------------------
New posts: {nn}, vs MA%: {pp}
-------------------------------------
* Post views were {i}% of period's total page views
====================================
POST TRAFFIC:
As % : LW MA | ΔPV vs MA
-------------------+---------------
Facebook {j} {k} | {ww} {qq}
Twitter {n} {o} | {xx} {rr}
Search {r} {s} | {yy} {ss}
Other {t} {u} | {zz} {tt}
Direct {v} {w} | {aaa} {uu}
Internal {x} {y} | {bbb} {vv}
=====================================
VISITORS: LW MA | DEVICES: LW MA
-------------------+-----------------
New {l} {m} | Mobile {z} {aa}
Returning {p} {q} | Desktop {bb} {cc}
| Tablet {dd} {ee}
=====================================
MA = moving average (prior 13 weeks)
Due to rounding, numbers may not add up to 100%
Google accounts for nearly all 'Search' views.
Google News, APIs account for most 'Other' views.
===================================================
RECENCY:
-------------------------------------------
Return frequency % of visits
-------------------------------------------
===================================================
GEO LOCATION: ... as % of page views
----------------------+--------------------
Cities | Regions
----------------------+--------------------
'''
return text
def format_data(data):
text = ''
text += f'''{data["report"].title()} web report: {data["site"].title()} for {data["report"].replace("daily", "").replace("ly", "")} {data["site_stats"]["date"]}''' + nl + nl
text += dbl_line
text += format_posts(data['posts_stats'])
text += format_site(data['site_stats'], data['unit'], data['ma'])
return text
def create_pdf(data):
results = format_site(data['site_stats'], data['unit'], data['ma'])
file_name = f'{data["report"]}_{data["site"].title()}_stats'
# CREATE PDF
# enscript -B -M A5 -p output.ps input.txt
# ps2pdf output.ps output.pdf
# subprocess.run(["ls", "-l"]) # doesn't capture output
# save as text file. Note, this overwrites the file.
with open(f'{file_name}.txt', "w") as f:
f.write(results)
subprocess.run(['/usr/local/bin/enscript', '-M', 'A5', '-p', f'{file_name}.ps', f'{file_name}.txt'])
subprocess.run(['/usr/local/bin/ps2pdf', f'{file_name}.ps', f'{file_name}.pdf'])