11 Commits
Author SHA1 Message Date
James MaesandCodex 2dcc073f51 fix: reject private analyses without a read owner
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Use an explicit true sharing check so nullable flags cannot pass SQL CHECK as UNKNOWN. Add a generated-schema SQL regression and document the forward host migration.

Co-Authored-By: Codex (GPT-6) <noreply@openai.com>
2026-11-03 12:27:26 -06:00
james.maesandClaude Opus 5.5 73de290a93 feat(help): ship the qbit-data-analysis help bundle through QQQ help bundles, with coverage gate
Host-neutral help (deployment-specific facts removed), registered with
HelpBundles, gated by HelpBundleAssertions. QQQ 4.1.0-RC.7.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 20:27:13 -05:00
james.maesandClaude Opus 5.5 04d3c01cf3 feat: Create rows for analyzable tables, Setup card and table help so Analysis Settings is never a mystery
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-14 17:23:24 -05:00
james.maesandClaude Opus 5.5 d2c9871d98 feat(saved): saved, shared, starred, scheduled and widget analyses, export, SQL handoff
Extension 1.4.0: saved analyses of every kind re-run as the viewer
(fields they cannot analyze are dropped), owner-or-shared READ through
core record locks with owner-only writes (and a database CHECK so a
private row can never lose its read owner), personal stars, schedules
that run as the owner and mail only recipients who could run the analysis
themselves, CSV/XLSX export, the SQL Workbench handoff, an analysis
dashboard widget, and an Analyses home built from standard widgets.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 21:23:23 -05:00
james.maesandClaude Opus 5.5 43c7571864 feat(watches): anomaly watches through the alerts SPI, contingent pickers
Watches evaluate a metric per time bucket as their owner (SPIKE, DROP,
OUT_OF_RANGE, NEW_CATEGORY, NULL_RATE_CREEP with robust baselines) on a
hidden scheduled process, raise and resolve data.analysis.anomaly alerts
through QAlerts, and offer Evaluate now / Enable / Disable record actions
and a preview endpoint (extension 1.3.0). Pivot and crosstab labels are
human (Yes/No, Average Annual Salary). Contingent fields: a watch's saved
analysis depends on its table, table names use the core tables PVS, and
analyzable/excluded fields pick from the chosen table's fields.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 20:34:19 -05:00
james.maesandClaude Opus 5.5 20b8223ce8 feat(compare): compare, distribution shift, correlation, scatter and crosstabs
Extension 1.2.0: compare two filters field by field with deltas and
significance (two-proportion z, Welch's t, chi-square with validity
rules and plain sentences), distribution shift over time with PSI, a
pushed-down Pearson correlation matrix with sampled scatter and trend,
and crosstabs with chi-square and Cramer's V. Pure-Java statistics
checked against scipy reference values; the privacy guard, field access
and drills apply as for profiles.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 19:37:03 -05:00
james.maesandClaude Opus 5.5 d591d3d7e8 feat(pivot): pivot / group-by explorer and the field-access resolver seam
POST /tables/{table}/pivot (extension 1.1.0): up to 3 row and 2 column
dimensions with date buckets or nice numeric bins, fields from to-one
exposed joins, count/sum/avg/min/max/distinct/percentile measures,
totals, Other-merging by top-N, the privacy guard and a drill per cell.
FieldAnalysisAccessResolver maps fields to FULL / EXACT_MATCH_ONLY /
NONE (core secured-data tiers when present, FieldSecurityLock otherwise);
only FULL fields are analyzable, drills never name others, and exact-run
cache keys include the user's field-access fingerprint.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 18:56:37 -05:00
james.maesandClaude Opus 5.5 a91f6c5e03 feat(api): /qqq/v1 data-analysis extension, core pushdown backend, analyze permission
UI API extension data-analysis 1.0.0 (capabilities, column-profile,
distinct-values, table-profile, duplicates, runs) with typed
DataAnalysis*V1 schemas and the committed OpenAPI fragment. The analyze
permission is registered through core TableFeaturePermissionsMetaData.
CoreAnalysisBackend pushes percentiles, stddev, null/blank counts, numeric
and date buckets down through the RC.6 aggregate extensions; estimates
sample natively and scale counts, and the stand-in uses one primary-key
bound instead of an IN list. Builds against QQQ 4.1.0-RC.6.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 17:43:50 -05:00
james.maesandClaude Opus 5.5 261d0213ad feat(engine): column and table profiles, drill-through, privacy guard and exact runs
The phase (b) analysis engine: typed results (metrics with drill
filters, charts as data), column and table profiles, distinct values and
duplicates, AnalysisSecurity (analyze permission, table READ, personalized
table and field security, analyzable/excluded fields), the effective
per-table config, the minimum group size guard, data versions, async exact
runs cached in data_analysis_run, and DataAnalysisService as the facade.
The AnalysisBackend port has an RC.5 stand-in that pushes down what core
supports today and streams the rest with row limits.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 16:26:15 -05:00
james.maesandClaude Opus 5.5 1076daacde chore: bring the repo to the QRun qbit standard, add producer, tables and home
Repository standard (LICENSE, NOTICE, community pointers, CHANGELOG,
CLAUDE/AGENTS, dependabot, CircleCI with the configure-package-install
pre-step, the release-rc caller workflow, Maven wrapper, checkstyle,
JaCoCo gates, QQQ 4.1.0-RC.5). DataAnalysisQBitProducer and config, the
six data_analysis_ tables with standard permission rules and user record
locks, the analyze permission stand-in, the Analyses app home with real
counts, and the Postgres schema script.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 15:32:48 -05:00
james.maes 2f5e16f104 Initial commit 2026-10-13 15:07:02 -05:00