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ar9av__obsidian-wiki/scripts
Arnav db1bf4d9c4 feat(ingest): add extract-jsonl.py pre-processor for 50-200x JSONL compression (#100)
* feat(wiki-ingest): optional PageIndex long-PDF preprocessing

Implements the proposal from issue #97. When PAGEINDEX_REPO is set and a
PDF has >= PAGEINDEX_MIN_PAGES pages, wiki-ingest builds a structure-aware
TOC tree (section titles + summaries + page ranges) before reading, so only
relevant sections are fetched — yielding page-cited provenance at a fraction
of context cost. Falls back to direct page reads if unset or on error.

- wiki-ingest/SKILL.md: gated step-1 branch before the Academic papers section
- wiki-ingest/references/pageindex.md: full recipe (run command, JSON shape,
  step-by-step reasoning approach, caching notes)
- .env.example: PAGEINDEX_REPO, PAGEINDEX_MODEL, PAGEINDEX_MIN_PAGES,
  PAGEINDEX_WORKSPACE keys

Fully additive and backward-compatible — unset PAGEINDEX_REPO = no change.

Closes #97

* feat(ingest): add extract-jsonl.py pre-processor for 50-200x JSONL compression

Raw Claude Code JSONL files are 80-90% noise (tool_use, thinking, progress,
file-history-snapshot entries). This adds a stdlib pre-extraction script that
strips all noise and writes compact signal-only JSON, enabling the ingest skill
to process 5-10x more conversations per run within the same token budget.

Measured on real sessions:
  - 559 KB JSONL → 8.6 KB extracted  (65x)
  - 12 MB  JSONL → 64 KB extracted   (188x)

scripts/extract-jsonl.py:
- Scans ~/.claude/projects/*/*.jsonl, extracts user + assistant text turns only
- Writes ~/.claude/extracted/<project>/<session-id>.json (compact JSON)
- --since DATE for incremental runs (only files modified after the date)
- --skip A,B to exclude projects (also reads WIKI_SKIP_PROJECTS env var)
- --dry-run / --verbose for inspection
- Own extract-manifest at ~/.claude/extracted/.extract-manifest.json tracks
  which source files have been extracted, preventing redundant re-extraction
- Pure stdlib, no dependencies; follows the same conventions as manifest.py

.skills/claude-history-ingest/SKILL.md:
- New "Pre-extraction" section with usage examples and the extracted format
- Step 3 updated: check ~/.claude/extracted/<proj>/<uuid>.json first,
  fall back to raw JSONL if not present
- Sampling heuristic fixed: projects with memory files now also ingest new
  conversations not yet in the manifest (previously all conversations were
  silently skipped once any memory file existed)
2026-06-13 15:50:24 +05:30
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