Root cause: C2/C9/C10 each made a full HTTP round-trip back to the API
(asyncio.to_thread → urllib → TCP → uvicorn → SQLAlchemy → DB) for every
repo. 16 repos × 3 calls = 48 self-calls at ~80-150ms each = ~6s total.
Fix: doi_engine.evaluate() accepts a prefetch dict. The summary endpoint
runs 3 bulk GROUP BY queries (domain status, TPSC snapshot counts, active
goal counts) and passes results directly — zero HTTP self-calls in summary
mode.
Result: /repos/doi/summary 6s → <1s (6× improvement on top of prior 13×).
Total improvement from original: 108s → <1s.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Two fixes:
1. skip_consistency=True in summary mode — omits C7/C13 subprocess calls
(consistency_check.py) which were the main bottleneck (32 spawns for 16 repos).
Full check still available per-repo via GET /repos/{slug}/doi.
2. asyncio.gather — all repos evaluated in parallel instead of sequentially.
Also: rename Repositories page title from "Repos" to "Repositories".
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Implements the 14-criterion DoI checklist as a runnable gate with API,
MCP tools, CLI script, and dashboard integration.
Core components:
- api/doi_engine.py — async engine evaluating all 14 criteria (asyncio.to_thread
for non-blocking HTTP self-calls), shared by API and CLI
- api/schemas/doi.py — DoICriterion, DoIReport, DoISummaryEntry schemas
- api/routers/repos.py — GET /repos/{slug}/doi + GET /repos/doi/summary
- scripts/check_doi.py — CLI: make check-doi REPO=<slug> / check-doi-all
- mcp_server/server.py — check_repo_doi(), get_doi_summary() tools
Dashboard (repos.md):
- DoI tier badge per repo (None/Core/Standard/Full) colour-coded red→green
- Domain block shows lowest DoI tier across its repos
- DoI KPI card in summary row
- DoI filter in All Repos Table
- Link to Repository DoI policy page
Also fixes: TPSC snapshots 500 error (missing nested selectinload for
catalog_entry relationship in list_snapshots endpoint).
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
