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Author SHA1 Message Date
c195e6b4c1 Funny numbers: 69 (nice), 2137 🙏 and five more on every count the stats print
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Seven numbers the group finds funny get a marker wherever they show up as
a count: the nightly table, every !stats_* view, !ja, the records and the
highlights. Percentages and shares stay bare (a 69% share is not a 69), and
so does the (N 📷) aside, so one line never carries two jokes. One table,
FUNNY in stats/text.py, and one helper, marked(), so adding a number is one
line. Documented in DOCS-statistics.md.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-04 21:55:33 +02:00
405541be9b release: 0.2.6 «Stephanus I» — dodano !analityka
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One row per command attempt, not two aggregates written only on success.

command_uses holds last-use only and daily_uses counts successes; both are
rate-limiter state and both are written by store.record_use, which the
dispatcher calls only when a handler returns cleanly. A gate refusal and a
crash returned before it, so a command that failed every time looked exactly
like one nobody ran, and nothing knew which command a counted message was.

command_events now takes every attempt with its outcome, its duration and
the item it served; upstream_calls takes every outbound request made while
serving one. The two writes stay separate on purpose -- recording a refusal
as a use is what slid the cooldown window forward every time somebody was
told to wait -- and test_dispatcher_outcomes asserts last_used does not move.

Backfilled from journald joined against message_events, with daily_uses
filling the residual so the two sources cannot double-count. Two things were
wrong on the first attempt and both were found by measuring rather than by
reasoning: the window has to be symmetric, because sent_at_ms comes from the
sender's phone and the journal stamp from this host (194 of 299 lines landed
*before* their own message, by up to 3.2 s); and matching has to be a global
closest-pair assignment, because per-row greedy cannot separate two commands
seconds apart. Together those took the dropped rows from 137 to zero, and
recovered 418 invocations back to 29 August.

Also: !analityka in the group, twelve Polish lines, naming at most three
people and only ones whose display name has been seen; an Analytics tab with
Nivo charts; and continuous latency measurement, which answers the open
question in DOCS-latency.md -- a text send is 235 ms and an image send about
2.2 s, so the upload really is where the time goes.

EPHEMERAL_TABLES was doing two unrelated jobs and is now two tuples: what a
schema bump rebuilds, and what leaving a group clears. daily_uses left the
first (it is a backfill source now) and stayed in the second, and
_drop_reshaped took over the repair a bump used to do for it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01T4QTp3h5Q3MvfrwGV8xqPf
2026-08-31 23:19:51 +02:00
dedc153cb4 docs: describe what the bot actually does now
The README still described a counter that increments and resets, which
stopped being true two commits ago. The behaviour that replaced it does
not fit in a README section, so it moves to DOCS-statistics.md: what is
recorded and what deliberately is not, why a day is a stored Warsaw date
string and what breaks if it stops being one, what happens to counts and
to reports across an outage, why 2026-08-30 is marked and excluded from
every average, and how to read a wire format with LOG_LEVEL=DEBUG.

README keeps eight lines and a pointer, which puts it at exactly 250.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015d48t4qsQLBJnDwDeo2Nom
2026-08-30 19:58:25 +02:00