v0.3.0
4
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Florian Schmidt
|
aacdc28d70 |
Meters: record events from the UI, and book consumption in the months it accrued in
Two threads that ended up in the same files. One is navigation: a meter
swap that happened today had no click path at all, and most per-meter
tasks were reachable only by knowing which admin page owned them. The
other is attribution: readings on 1 August and 16 September showed six
weeks of water under September and nothing under August.
Meter events from the UI
Swap, counter reset, tank level, delivery and note are recorded through
MeterEventService rather than ad-hoc inserts, so the dialog's verdict and
the saved result come from the same Validate call, and every record or
delete recomputes the meter inside one transaction. MeterEventRules
decides which events a mode offers -- a tank has no register to swap, and
Correction is offered nowhere because nothing reads it.
A swap is stored as the event at T plus a manual reading of the new
register's start value at exactly T. That pairing is the whole trick: the
boundary window is (previousReading, reading], so the old register's tail
books at T and every later reading counts from the new start. Writing the
old final value as the reading at T instead -- the obvious thing -- double
counts the tail and then rejects every reading the new register produces.
Deleting a swap removes that start reading only while it is still the
untouched start value, and only Manual readings can be deleted at all.
Navigation
The meter page is now the hub: primary entry by mode, a "Record event"
menu, and Edit through a shared MeterEditor that also owns tank setup.
Other pages link into it with MeterLinks (/meters/{id}?tab=...&action=...),
whose action is consumed once after the interactive render and dropped
from the address -- the reverse order flashes the dialog and closes it,
because a circuit's first location change dismisses every open dialog.
The app bar gains a "Find a meter" dialog with the same quick entry.
A source that has no usable connector now links to creating (or enabling)
one and comes back to the same source dialog with the connector picked
and everything typed still there; the draft survives in a circuit-scoped
DraftStore, and the way back is a meter id rather than a URL, so the page
cannot be made to redirect anywhere else. The connector list shows which
meters use each connector, import batches list the meters and categories
they wrote to, the meter editor owns the meter's own cost categories, and
the dashboard's empty cost panel names the first missing step instead of
listing every admin page.
Months
A reading is an instant, and what it measures accrued over the time since
the previous one. Booking the whole delta at the closing reading misfiles
it whenever the interval crosses a month boundary, so a plain increase is
now divided at local month boundaries in proportion to elapsed time, each
share stamped inside its month and marked estimated: the meter recorded a
total, not a shape. The parts always sum to the original.
Imported monthly tables are the exception that keeps the golden fixtures
reconciling. "Mai 2026" carries the register at the end of May but is
stamped on the 1st, so the importer -- the only place that still knows
whether the date cell named a month or a day -- flags it MonthLabel, and
the engine reads it as the end of its month. Inferring that from the
stamp instead would catch day-dated rows: a sheet with "01.08.2026" in it
is not a monthly table, and reading it as one moves two thirds of July
into August.
ReadingTimeline is the single ordering built on that: effective time,
then stamp. The register normalizers walk it, and so do the decrease
guard and the event dialog, which is what stops them disagreeing about
which reading is "previous" -- a sheet imported after live readings of the
same month used to count that month twice, and a mid-month reading below
the month's end value was rejected as a drop. A swap detected in a
monthly table applies from the start of that local month, i.e. to the
first reading in it, and a recorded start value never counts above the
reading it lands on.
Every reader buckets in the configured timezone rather than a hardcoded
one, and turns a requested date into that zone's local midnight, so the
divided shares are read back under the months they were stamped in. The
zone id is normalised to its IANA form, because .NET accepts a Windows id
that PostgreSQL will not bucket by, and both are checked at startup.
Stored consumption is derived, so a rule change reaches a meter only at
its next reading -- weeks, for a meter read monthly. NormalizationUpgrade
records the revision and zone the stored series was built with and
rebuilds everything once at startup when either differs, each meter in
its own transaction. A meter that fails is logged, kept in
normalization_pending and retried at the next start: one bad series must
never keep the application down.
What an operator sees once
Existing charts change on the first start after the update: months that
carried a neighbour's use give it back. Rows of earlier imports from
monthly tables are marked as such before anything is recomputed, and if
that marking fails nothing is rebuilt or recorded, so the upgrade simply
runs again next time rather than shifting every imported month by one. A
wizard import whose date format was left on auto-detect is treated as a
monthly table when all of its rows sit on the 1st across at least two
months -- exactly how those rows were attributed before -- and each such
batch is named in the log, because a day-dated sheet always read on the
1st looks identical; revert and re-import it with the day format if that
is what it was.
Tests: 120 unit and 230 integration, including the reference fixtures,
which still reconcile month for month.
|
||
 schmidt.florian
|
ad896db051 |
Normalization: apportion a long unread gap across the months it covers
A counter delta is booked at the reading that closes it. That is right at the reporting cadence -- a monthly series books December against the 1 January reading, which is what the reference sheet does -- and wrong after an outage. Observed on Solar 1: 78 days of generation arrived as one July row, leaving June looking like the array was switched off. An interval containing two or more complete calendar months is now divided across them in proportion to elapsed time. The meter recorded a total, not a shape, so every row a split produces is marked Estimated. The sum is exact: the final segment absorbs the rounding remainder, so a split never creates or destroys energy. Counting whole months *contained* rather than boundaries *crossed* is what makes the rule safe. A monthly series contains exactly one whole month per interval and is untouched, so the golden fixtures keep measuring the normalizer rather than the splitter; and a reading landing hours late cannot tip the rule and hand the new month a sliver. GapSplittingIsInertOnFixturesTests asserts the rule declines to fire on every reference interval, so this cannot drift into the oracle unnoticed. Not apportioned: swap and reset amounts (explicit corrections booked at their event -- apportioning one would rewrite a number the operator supplied), a rejected decrease, and a zero delta, which would otherwise fan out into rows that say nothing. Segments are stamped at their end, keeping the existing convention that a row records the period ending at its timestamp -- so nothing shifts relative to how unsplit intervals are already labelled. Claude-Session: https://claude.ai/code/session_01V6joyergfvVLFEizH1hJLd |
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schmidt.florian
|
e23df37a3f |
Connectors: allow secrets to be entered in the UI, encrypted at rest
ci / build-test (push) Successful in 1m12s
Reference-only secrets (SDD §6.4) meant adding a connector required editing a file on the server and restarting the service. In practice that leads to the token being pasted into the env-var *name* field, which fails with "environment variable '<token>' is not set" and gives no hint what went wrong. Add a second storage form, chosen per connector: type the secret in and it is encrypted via ASP.NET Core data protection before it is stored. The env-var reference stays as an equal alternative — this widens the choice rather than replacing it. Exactly one form survives a save, so a stale secret cannot linger and silently win; EndpointSecret.Resolve is the single resolution path. The guarantee that matters is preserved: no plaintext in the database, so pg_dump and JSON exports carry nothing usable. The trust boundary is stated plainly in §6.4 — the key ring is on disk, so this protects against leaked database content, not an attacker who already has the host, which is the same boundary an env var has. Details worth noting: - Key ring defaults to /var/lib/metervault/keys, outside the app directory, because the LXC updater republishes /opt/metervault on every update. Docker gets a named volume. Overridable via MeterVault__DataProtectionKeyPath. - Undecryptable ciphertext (key ring lost) falls back rather than throwing: an ingestion worker on a timer should degrade, not crash. - The stored secret is never sent to the browser; a blank field means "unchanged", not "cleared". - MQTT usernames are stored as-is — §6.4 covers tokens and passwords, and encrypting a username would only blank the field on every edit. - ExportService drops *_enc values: bound to the originating key ring, so useless where an export would be restored. Expect to re-enter after a restore. - HaConnectionTester now takes a resolved token, so the admin UI can test a token that has been typed but not yet saved. SDD §6.4 and §9 updated to describe both forms rather than contradict the code. Claude-Session: https://claude.ai/code/session_01V6joyergfvVLFEizH1hJLd |
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schmidt.florian
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48a7f5a825 |
M0: scaffold solution, EF+Timescale schema, /healthz
Five-project Clean Architecture solution (Core/Infrastructure/App + Core.Tests/ Integration.Tests) on .NET 10 with central package management, snake_case EF mapping, and shared build/style config. - Full domain entity set + EF DbContext for the SDD §5.3 schema (singular table names). - InitialSchema migration (relational) + TimescaleHypertables migration (raw SQL: create_hypertable + compression on reading, hypertable on consumption). - App wiring: Serilog (actually wired, unlike MQTTower), DbContext, migrate-on-startup, /healthz. Serves plain HTTP behind a reverse proxy (no HTTPS redirect). - deploy/Dockerfile (2-stage, ICU-capable) + docker-compose (app + timescaledb). - Integration.Tests: shared TimescaleFixture (Testcontainers) — migrations, hypertables, compression policy, and /healthz all verified green (4/4). Claude-Session: https://claude.ai/code/session_01WujdMtMJPbxDpDnMeK22rr |