Lapache web-based lap analysis#158
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Add a JSON analysis blob to the Session model so Lapache lap-analysis results (lat/lon fields, normalization, crop, geometric segments, laps, summary) persist via the existing session upsert. Add a custom JSON type whose driver value is text so it casts cleanly into a Postgres jsonb column. Add two query-service endpoints for browsing raw signal data when sessioning: GET /query/signals/names (distinct signals in a window) and GET /query/clusters (contiguous data blocks via minute-bucketed gap merging). Includes Go and pytest coverage for the new model field, JSON type, cluster merge logic, and route wiring. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Port the PyQt Lapache desktop tool to a web page at /lapache. Pure logic (segment intersection, coordinate normalization, lap/sector detection, the segment manager) ports to TypeScript under lib/lapache; an API client swaps the desktop app's direct DB access for the Mapache gateway endpoints. The page browses sessions and raw-data clusters, fetches lat/lon telemetry, renders the track on an HTML5 canvas where the user places S/F and sector lines (click to add, shift/right-click to remove, keys 1-9 to switch, P to process, Ctrl+Z to undo), then processes laps and saves the analysis blob back to the session. Adds a sidebar nav entry and the route. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
main's mapache-go (v3.3.0) defaults Session.Analysis to {} rather than
null, so un-analyzed sessions now arrive as a truthy empty object. Add a
hasAnalysis() type guard keyed on a required field (lat_field) and use it
for the sidebar "analyzed ✓" badge and the LapachePage load-existing
branch, so the {} default no longer reads as "already analyzed."
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
query_signals bound a tuple to a single :signals placeholder, which only worked by accident on psycopg2 (tuple adaptation) and errored on other backends like SQLite. Declare it with bindparam(expanding=True) so the IN list renders as individual placeholders on any backend. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
get_database_url interpolated DATABASE_USER/PASSWORD straight into the DSN string. A password containing '@' (or '%'/non-ASCII bytes) bled into the host portion, so psycopg2 tried to resolve "<pwtail>@<host>" and failed with "could not translate host name". Build the URL via sqlalchemy.URL.create so credentials are escaped. Go services were unaffected because GORM doesn't parse a URL. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Keeps docker-compose.override.yml (used to point query at a remote DB for local testing) out of git so it doesn't affect others' local stacks. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…uency signal - signal picker falls back to distinct signal names present for the selected vehicle when the curated signal_definition catalog is empty - pass vehicle_id from the dashboard so the fallback can scope to the vehicle - bucket clustering on the highest-frequency signal instead of the alphabetically-first name, which could be sparse and collapse every cluster Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The signal_definition catalog is now populated, so the read-time fallback to live signal names is no longer needed. Drops the fallback block, the unused vehicle_id query param, and the dashboard query param. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The bind-mounted /app/query holds .venv, scripts/ and tests/ alongside the app package. uvicorn --reload watched the whole dir, so `uv run` touching the venv triggered an endless reload loop that took the service down and dropped it from Rincon's registry (gateway then 404'd /query/* routes, surfacing as network errors in the dashboard). Limit the watcher to the query package with --reload-dir. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Root .gitignore had no Python rules, so local .venv/ and __pycache__/ dirs (e.g. under gr26/tools, query) surfaced as untracked noise on feature branches. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a reusable SignalTree that groups signals by node prefix (ecu_, bcu_, …) into collapsible sections, showing each signal's formatted name with its full id as subtext. Wire it into the query signal multi-select and the lapache lat/lon pickers. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a calendar date selector that limits cluster/session browsing to a single local day. The backend gains a /clusters/dates endpoint (get_data_dates) plus optional date/tz scoping on /clusters, so clusters and the anchor bucketing are computed for just that day. On the frontend, fetchClusters takes an optional date (sent with the browser timezone) and a new fetchDataDates backs the default day and the "days with data" hints. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Two fixes for raw-data timeouts and latency: - Cache the per-vehicle anchor signal (5 min TTL). Deriving it runs a GROUP BY name ORDER BY COUNT(*) that scans the whole vehicle partition, and it was recomputed on every /clusters and /clusters/dates request. - Add optional server-side decimation to query_signals via a max_points param: when the window is known, bucket each signal by time and keep one row per bucket (DISTINCT ON), capping rows transferred, pivoted, and serialized. The track map (fetchSignalData) requests max_points=5000, which the canvas can't exceed visually; exports stay full-resolution. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
# Conflicts: # .gitignore # query/query/service/query.py # query/uv.lock
Add an in-page Lap/Calibration toggle. Calibration mode plots one or more selected signals against time instead of a GPS track, for runs without a usable GPS fix. Reuses the shared timeline crop to trim a window and create a plain session over the crop (no lap/segment analysis). Chart supports a raw <-> normalized Y-axis toggle so signals with different scales compare. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Coerce lat/lon to numbers and skip non-finite readings and the 0,0 "null island" fix the receiver emits before lock. The track autoscales to its bounding box, so a single bad outlier collapsed the real path and drew stray lines shooting to it. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Summary
Branch bundling the web-based Lapache lap-analysis work for review. Highlights:
0,0"null island") from track points so a single bad outlier no longer collapses the real path.Review notes
Opening this primarily to review the code on the branch. Several commits build on each other; the most recent is the GPS-track hardening.
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