The Data Analysis home showed the engine Setup card (max rows, sampling,
cache, scheduler state) to every SAVED_READ user, and rendered
"Unavailable: READ permission required." shells for unreadable groups.
- dataAnalysisSetup is off the home widget list; it stays registered, gated
to data_analysis.admin with DenyBehavior.HIDDEN. Hosts place
DataAnalysisQBitProducer.SYSTEM_WIDGETS on their Admin area.
- Each home data widget requires READ on its table and is omitted from
metadata otherwise.
- Overview groups the user cannot read are left out of the payload; no
"Unavailable" text remains on the home.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
The self-made data-analysis-scheduler session is rejected under OAuth2,
so every scheduled run failed. With the host's principal declared,
inventory runs as it and owner/recipient runs go on their behalf through
it (current access intersected). Undeclared: unchanged.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
QRun-IO/.github#2 adds a tag-and-release job that signs vX with the
QRUN_TAG_SIGNING_KEY secret after Maven Central confirms the artifact.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Regenerated against UI API 1.6.0: every operation has an operationId and
the standard error responses (BasicErrorResponseV1: error, code, message,
fieldErrors, traceId); the extension's own error schema is kept but
deprecated; hand-written error bodies go through QJavalinUtils so they carry
code/message/traceId. Extension MINOR bumped.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The producer read a literal version, so released artifacts reported a stale
or -SNAPSHOT version. qbit-data-analysis.properties (version=${project.version}) is
Maven-filtered and the producer loads it; tests assert producer == bundle ==
artifact version.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
On release branches the bundle's version and the producer's differed, so the
bundle test that asserts they match failed, and released bundles recorded
SNAPSHOT as their provenance. help/*.yaml is now filtered:
version: ${project.version}.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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>
Moves qqq-orb@0.6.8 to qqq-orb@0.6.9, which passes --update-snapshots so cached SNAPSHOT dependencies are re-checked on every build (QRun-IO/qqq-orb#22).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Found driving the Next UI against the sample app: the UI cannot send the
user's id, and core checks required fields and record locks before the
customizers run. An insert-only field behavior fills empty owner/user
fields with the session user (never on update, so an administrator's
partial edit cannot take ownership); naming another owner is still
refused.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Chi-square now pools the smallest category into Other one at a time until
every expected count is at least five (rows too, for independence), so a
crosstab with a single-record row still gets a valid test.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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>
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>
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>
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>
Every metric carries a plain-English label and a display-formatted value
(grouping, percent, the field's display format), histogram bins use nice
edges with formatted labels, date buckets are labelled by unit, warnings
appear only when true, and the Analyses home shows saved analyses,
watches and recent runs with honest empty states (and no mojibake).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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>
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