The flag was enforced everywhere and settable nowhere but psql, so the one
piece of configuration a second account depends on was invisible.
A radio rather than a checkbox, because exactly one column per source can be
the territory -- the control should say so rather than leaving it to an
error on save. Clicking the chosen one again clears it, which a radio has no
other way to express. The save still refuses two, since the UI is not the
only caller, and two would mean whichever a .find() reached first -- the trap
is_key already fell into.
Restricted to dimension columns: a territory is something rows are divided
by, and scoping on a date or a measure is not a thing to offer.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Every question about a part -- what values exist, what attributes go with
one -- was answered by querying the source, and the source is the wrong
place to ask. It is a view over a transaction table, so the query is slow
(76s for one ILIKE against 6.9M rows), it describes only what was
transacted, and it cannot express intent: there is no way to say a part is
discontinued, or to name one that has not sold yet.
pf.dim_member holds the app's own list: one row per key value per group,
siblings in jsonb, keyed on (source_id, dim_group, key_value). Refresh is a
merge rather than a replace, so curation survives it -- members absent from
the source are marked source_seen = false, not deleted. Triggered from
Setup, next to Generate SQL, because it reads the whole source and the
answer only changes when the catalogue does.
A key can carry several attribute sets across history -- 11,290 parts
against 13,662 combinations on osm_skinny -- so the refresh takes the most
recent by the source's date column. That also fixes the sibling autofill,
which used to run a DISTINCT ... LIMIT 2 against the source and silently
fill nothing whenever a part came back ambiguous. A member row is one
definition by construction.
The client fetches each group's list once per source and does both
completion and autofill against it in memory, so neither costs a request.
Columns outside a group, or a group never refreshed, still fall back to the
version's values endpoint.
Run 01_schema.sql to create the table.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Ship rows pre-aggregated to the grain the pivot displays instead of raw
forecast rows. This is Path B from pf_perspective_options.md: it keeps
Perspective's native WASM engine — so expand/collapse/depth/sort/filter
all still work — and fixes load time by cutting rows, not transport.
Measured on pf.fc_osm_stack_20 at pending_rep x customer x smon:
534,902 -> 6,154 rows (~87x), pf_gkey unique across all 6,154, and both
measures reconcile exactly to the raw totals.
The grain is static: flagged once per source in Setup and baked into the
stored pf.sql templates, so load and operations agree by construction.
Sources with no flagged column keep the previous raw-row behaviour, so
this is backward compatible.
- pf.col_meta gains in_grain; grainOf() in lib/sql_generator.js is the
single definition of the grain and is reused by routes/log.js.
- New get_agg template + GET /api/versions/:id/agg, generated only when a
grain is defined. Regenerating drops templates no longer produced, so
clearing the grain falls back to /data.
- scale/recode/clone now aggregate their own new rows to grain before
returning. Because pf_logid is part of pf_gkey those keys are always
new, so table.update() appends and the view re-sums — the Excel
pivot-cache pattern, no bucket recomputation.
- Undo reports pf_gkeys (RETURNING cannot take DISTINCT, so the delete
feeds a CTE that reduces to distinct keys); the client removes those
index values and the view re-sums.
- pf_gkey is concat_ws(chr(31), COALESCE(col::text, chr(30)), ...).
The separator and NULL sentinel are load-bearing: plain concat_ws skips
NULLs, so ('a',NULL) and (NULL,'a') would collide and silently merge two
groups into one indexed row.
- Forecast.jsx reads col_meta first to pick /agg vs /data; the Arrow
streaming logic is extracted to fetchArrow() since both share it.
- Setup.jsx gains a grain checkbox and shows the resulting grain.
- 01_schema.sql: move the col_meta ALTERs after its CREATE TABLE — they
referenced the table before it existed on a fresh install.
All six generated statements verified to plan against the real forecast
table; the in_grain column has been added to the dev database.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Replaced native <select> (macOS ignores CSS on option elements) with a
custom button+ul dropdown. Background/text/border colors are applied via
useTheme so they respond correctly to dark mode toggle.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
GET /api/dim-period/cols queries information_schema for pf.dim_period columns
(excluding sdat/edat/drange/ndays) so the UI always reflects actual columns.
Setup col_meta editor now shows a dropdown populated from that endpoint instead
of a free-text field, preventing invalid column names like the cash source had.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- SQL generator no longer requires a units col; recode/clone/scale omit units
expressions when none is configured in col_meta
- Source registration validation drops units from required roles (value + date
are the only hard requirements)
- DELETE /api/sources/:id returns 409 when existing versions reference the source
- Setup.jsx surfaces the 409 error via flash instead of silently failing
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- col_meta gets dim_period_col field: maps a dimension column to its pf.dim_period counterpart (e.g. year -> cal_year, month -> cal_month)
- When the date column is is_key of a dim_group and any sibling dimension has dim_period_col set, baseline and reference SQL JOIN pf.dim_period on the shifted date instead of copying raw source values
- No dim_period config = identical SQL to before (fully backwards compatible)
- Setup UI: period col input in col_meta editor, enabled for dimension columns with a dim_group set
- Schema migration applied: dim_period_col text null on pf.col_meta
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- col_meta: add dim_group field to group related columns (dimension hierarchies, date-adjacent columns); is_key now enabled for date role to mark group parent
- sources.js: upsert includes dim_group
- Setup.jsx: group column in col_meta editor, key checkbox enabled for date role
- gen_dim_period.sql: create and populate pf.dim_period with calendar and fiscal period cuts (monthly grain, 2018-2035)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
App.jsx owns sources/sourceId/versions/versionId and persists them
across reloads. StatusBar renders the dropdowns plus a status badge —
Source-only on Setup, Source · Version · status on Baseline/Forecast.
The duplicate in-view selector bars in Forecast and Baseline are gone;
Baseline keeps its version actions (New/Close/Reopen/Delete) inline.
Setup reports source-list mutations up via refreshSources so the bar
stays in sync after register/deregister.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- ui/: React + Vite + Tailwind app (Setup, Baseline, Forecast views, collapsible sidebar, status bar, canvas timeline)
- server.js: serve built UI from public/app/
- package.json: add build script (cd ui && npm run build)
- routes/sources.js: default new col_meta role to 'dimension' instead of 'ignore'
- .gitignore: exclude public/app/ build output
- pf_spec.md: update tech stack, nav, frontend section, and project status to reflect current implementation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
