Commit Graph

2 Commits

Author SHA1 Message Date
teernisse
04abdafa9a feat: zero-fill missing days in aggregator for continuous chart data
The daily aggregation now iterates from the since date through the
until date and inserts a zero-valued DailyStats entry for any day
not already present in the day map. This ensures sparklines and bar
charts render a continuous time axis with explicit zeros for idle
days, rather than connecting adjacent data points across gaps.

Also switch config file creation to os.OpenFile with explicit 0600
permissions and O_WRONLY|O_CREATE|O_TRUNC flags, matching the intent
of the original os.Create call while making the restricted permission
bits explicit for security.
2026-02-19 15:01:34 -05:00
teernisse
24454247a3 feat: add data pipeline with parallel loading, aggregation, and cache integration
Implement the pipeline layer that orchestrates discovery, parsing,
caching, and aggregation:

- pipeline/loader.go: Load() discovers session files via ScanDir,
  optionally filters out subagent files, then parses all files in
  parallel using a bounded worker pool sized to GOMAXPROCS. Workers
  read from a pre-filled channel (no contention on dispatch) and
  report progress via an atomic counter and callback. LoadResult
  tracks total files, parsed files, parse errors, and file errors.

- pipeline/aggregator.go: Five aggregation functions, all operating
  on time-filtered session slices:

  * Aggregate: computes SummaryStats across all sessions — total
    tokens (5 types), estimated cost, cache savings (summed per-model
    via config.CalculateCacheSavings), cache hit rate, and per-active-
    day rates (cost, tokens, sessions, prompts, minutes).

  * AggregateDays: groups sessions by local calendar date, sorted
    most-recent-first.

  * AggregateModels: groups by normalized model name with share
    percentages, sorted by cost descending.

  * AggregateProjects: groups by project name, sorted by cost.

  * AggregateHourly: distributes prompt/session/token counts across
    24 hour buckets (attributed to session start hour).

  Also provides FilterByTime, FilterByProject, FilterByModel with
  case-insensitive substring matching.

- pipeline/incremental.go: LoadWithCache() implements the incremental
  loading strategy — compares discovered files against the cache's
  file_tracker (mtime_ns + size), loads unchanged sessions from
  SQLite, and only reparses files that changed. Reparsed results
  are immediately saved back to cache. CacheDir/CachePath follow
  XDG_CACHE_HOME convention (~/.cache/cburn/metrics.db).

- pipeline/bench_test.go: Benchmarks for ScanDir, ParseFile (worst-
  case largest file), full Load, and LoadWithCache to measure the
  incremental cache speedup.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-19 13:01:56 -05:00