Derek Willis has a Datasette instance full of political campaign emails running on Heroku.
Matt Hodges pointed out that a lot of these emails include refcode= codes, which are used by ActBlue campaigns to track clicks.
They look like this:
...c-email?refcode=220210_FR_midmonth1kavin_plain] Jessica Mason......hmp-footer?refcode=2021_footer&amount=25&a...I thought it would be fun to extract just the codes.
The datasette-rure plugin adds regular expression support which can be used for this kind of thing, but in the absence of a plugin like that the only way to do it is with the SQLite instr() and substr() functions.
Here's the query I figured out:
with snippets as (
select
substr(body, instr(body, 'refcode=') + 8, 128) as snippet
from
emails
where
body LIKE '%refcode%'
),
refcodes as (
select
snippet,
substr(
snippet,
0,
min(
case
when instr(snippet, '&') > 0 then instr(snippet, '&')
else 128
end,
case
when instr(snippet, ']') > 0 then instr(snippet, ']')
else 128
end,
case
when instr(snippet, ' ') > 0 then instr(snippet, ' ')
else 128
end,
case
when instr(snippet, '.') > 0 then instr(snippet, '.')
else 128
end
)
) as refcode
from
snippets
)
select
refcode,
count(*) as n
from
refcodes
group by
refcode
order by
n descI started by pulling out just the 128 characters following each refcode= - I picked 128 characters at random just to make the data easier to look at:
substr(body, instr(body, 'refcode=') + 8, 128) as snippetinstr(body, 'refcode=') + 8 gives the character after the = sign, because refcode= is 8 characters long.
Next I needed to find the first character following the refcode that was either a &, a ], a space or a.`. That's what this bit does:
substr(
snippet,
0,
min(
case
when instr(snippet, '&') > 0 then instr(snippet, '&')
else 128
end,
case
when instr(snippet, ']') > 0 then instr(snippet, ']')
else 128
end,
case
when instr(snippet, ' ') > 0 then instr(snippet, ' ')
else 128
end,
case
when instr(snippet, '.') > 0 then instr(snippet, '.')
else 128
end
)
) as refcodeI'm trying to find the first instance of any of those characters - so I use instr to find them, but ignore any results where that returns 0 for "character not found" - in those cases I use the number 128 picked earlier. I can then grab the minimum of those scores.
Then finally I do a group-by/count to find the most common refcodes:
select
refcode,
count(*) as n
from
refcodes
group by
refcode
order by
n descTop results were:
| refcode | n |
|---|---|
| email_footer | 527 |
| em_pt | 352 |
| em_fr_2020 | 285 |
| pt | 254 |
| emfooter | 242 |
| em_fr_2021 | 242 |
| footer-bio | 198 |
| footer_button | 192 |
| em_footer | 173 |
| email-footer | 168 |
| 168 | |
| footer | 164 |
| em2021 | 135 |
| em_jc_fr_footer_link | 107 |
| em_fr_2019 | 107 |
| em-footer | 104 |
| em_fr_2018 | 84 |
| ABD_EM_FR_2021 | 67 |
Created 2022-02-15T18:05:02-08:00 · Edit