Commit Graph

7 Commits

Author SHA1 Message Date
Croissant Le Doux
4f35dcdb8d feat(profiler): Stage 4 grounded research profiler — cited profiles replace NTEE stubs
profileOrgs (nightly 05:45, 25/run, easy-win orgs best-first per the
plan's coarse-match-gates-profiling rule): two-pass Gemini flash —
Google Search-grounded research (groundingMetadata = citation universe)
then JSON-schema extraction citing only from it. Overwrites the stub
profile (mission/programs/geography/funders/staff/news/sources/
confidence); re-embeds mission fit from researched text unless identity
unconfirmed or confidence <0.5 (then the NTEE embedding stays —
unverified research must not steer scoring). Detail page renders
researched programs w/ source links, funders, staff.

Fixes: org_profiles.confidence is float4 — 0.2 stores as 0.20000000298
so 'confidence <= 0.2' excluded every stub (epsilon comparison); RR7
loader serialization turns unknown into never (hoisted casts).

Live: 55 orgs profiled (41 research-grade, 2 low-confidence, 0 failed).
Scoring effect verified both directions: Annie's Angels x NIH mammalian
models fit 19->12; Seacoast Pathways x Foundation for Seacoast Health
fit 25/30 — and the researched knownFunders independently names that
funder. 161 tests green.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-17 00:08:12 -04:00
Croissant Le Doux
88affbeb4f feat(scoring): federal funder precedent via USASpending (ALN-level)
Precedent was always a valid criterion for federal grants — the index
just didn't cover them. Now: ingest captures ALN/CFDA numbers from
fetchOpportunity (grants.alns); nightly federalPrecedent workflow
(04:45) queries USASpending award search per distinct program (free
official API, 3-year NH lookback) and stamps program_state_award_count
+ sample recipients onto open grants (multi-ALN keeps highest). Match
retrieval feeds the same funderStateGrantCount input and 25-point tiers
foundations use; detail page shows the recipients-evidence table with
an incumbent-renewal caution.

Also: detail refresh now rotates oldest-verified-first
(serverMapGrantVerification) — the Set-based partition re-fetched the
same 200 every pass, leaving 365/565 grants ALN-less.

Live: 564/564 grants ALN-tagged, 156 programs swept, 85 with NH
history, 468 grants carrying precedent, first federal easy-wins (66pts,
25/25 precedent, Aug-24 deadline). 158 tests green.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-16 23:18:02 -04:00
Croissant Le Doux
63b58e514d feat(scoring): 990-PF funder-precedent index — the 25-point subscore goes live
New funders/funder_grants schema + ingest990pf monthly workflow: IRS BMF
state file discovers NH private foundations (747), e-file index CSVs
select their latest 990-PF filings, batch ZIPs stream through fflate
(4/run cap, most-hits-first, deferred logged), grants-paid rows land in
funder_grants, and funders with >=2 NH grants synthesize rolling grant
rows (source irs_990pf, funder_ein linked) that flow through the
existing embed+match pipeline.

Scoring v2: funderPrecedentSubscore tiers repeated in-state giving
(1/3/5/10 -> 8/15/20/25); easy win = >=65 total AND >=12 precedent
(plan's precedent floor); scale is the full 0-100. Rolling deadlines
pass the runway gate. Retrieval computes per-funder in-state counts and
exposes funder_ein.

Lead-quality gates from the first precedent run's failures: candidate
orgs exclude NTEE T* grantmakers; self-matches gated by EIN + normalized
name (NHDOJ registers foundations as charities, several without resolved
EINs — the first run's top 'leads' were foundations matched to
themselves).

Live: ~6.5GB of IRS batches processed, 2,766 grants-paid rows, 123
synthesized foundation grants, 89 easy wins across 27 orgs, credible
top-10 (AIDS Response-Seacoast -> Foundation for Seacoast Health, 25/25
precedent). 153 tests green.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-16 18:17:28 -04:00
Croissant Le Doux
0ee478ec3d feat(scoring): match-generation workflow — scoring engine v1 (Stage 2, step 2)
matchGrants (nightly 05:15): per candidate org (NH + good standing +
primary ICP) ensure a v0 NTEE-derived profile embedding (RETRIEVAL_QUERY,
confidence 0.2 stub the Stage 4 profiler upgrades in place), retrieve
top-50 open grants by pgvector cosine with SQL-enforced cheap gates
(deadline >=21d, ceiling >=10K), run entity/geography gates in TS,
score deterministically, upsert pair-keyed matches, reassign hero.

Scoring: pure scoreMatch (mission fit 30 / capacity 15 / competition 15
/ effort 10 / runway 5; precedent's 25 reserved until the 990-PF index;
easy win >= 50/75). Eligibility gate now pattern-matches Grants.gov
applicantTypes prose, conservatively (ambiguous entries do not admit).
application_form_supported ignored for pass/fail per the manual-first
decision, still recorded in rationale.

Schema: unique (org_id, grant_id) on matches; unique org_id on
org_profiles (latest-profile semantics). Review queue query now ordered
hero > easy-win > score and capped at 100.

Live run: 64 orgs -> 3,200 matches in 28s, 0 easy wins / max 39 — the
honest result of an NIH-heavy 200-grant corpus vs NH service nonprofits;
engine mechanics verified, corpus breadth is the next lever.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-16 16:55:10 -04:00
Croissant Le Doux
a532f0bebf feat(scoring): nightly grant-embedding workflow (Stage 2, step 1)
embedGrants (cron 04:15, after the ingest crons): open grants with a
synopsis and no vector → buildGrantEmbeddingText (pure, tested:
title+funder+program areas+synopsis, 8K cap) → gemini-embedding-001 @
1536 dims RETRIEVAL_DOCUMENT (org profiles will embed as
RETRIEVAL_QUERY on the other side) → grants.synopsis_embedding.
Chunked embed→store (100/chunk) so failures resume from the last
stored chunk; 500/run spend cap.

Core: serverListGrantsNeedingEmbedding (open+unembedded, closest
deadline first), serverSetGrantEmbeddings. Worker gains
@novelpad/outreach-ai dep; wired into main.ts and run-once (incl. the
missed run-once deps injection).

Live-verified: 199/199 open grants embedded in 16s; semantic probe
('after-school STEM education for youth') ranks NCI Youth Enjoy
Science R25 first at 0.639 cosine via the hnsw index.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-16 16:26:41 -04:00
Croissant Le Doux
8d57d57557 fix(ingestion): survive first contact with real data sources
NHDOJ: parser rebuilt for the real 8-column registry layout (Reg. No. |
Charity Name | Address | City | State | Zip | Status | Report Due) with
single-letter G/X/S statuses; Reg. No. is the stable upsert key (new
orgs.registration_number column + partial unique index, enum gains
'suspended' via idempotent ADD VALUE); out-of-state registrants keep
their real state. Akamai-safe fetch headers + NHDOJ_REGISTRY_PDF_PATH
local-file override.

ProPublica: zero-hit state-scoped searches return 404, not an empty
list — map to no-candidates instead of failure (tripped the systemic-
failure breaker at 60/200 on first contact). Enrichment queue now
prioritizes NH good-standing orgs over the out-of-state tail.

PND: feed retired upstream (HTML shell on every historical path) —
documented as rework candidate, low priority.

run-once.ts: supervised one-off runner through the durable DBOS
handles (workflow modules now export run*Now accessors); drop the
double pool.end() after DBOS.shutdown().

First supervised run: 200 Grants.gov opportunities (1 auto-expired),
13,632 orgs from the 427-page registry, enrichment at failed=0 with
121/200 EIN resolution in the NH-priority batch.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-16 16:20:47 -04:00
Croissant Le Doux
1735ff6754 feat(ingestion): Phase 1 data spine — Grants.gov, PND RSS, NHDOJ registry, ProPublica enrichment
Core: icpBandForRevenue (100K-5M primary), serverUpsertOrgFromRegistry
(case-insensitive name/city/state key, new-registrant signal),
serverEnrichOrg (IRS fields + re-band, all-null marks attempted),
serverListOrgsNeedingEnrichment.

Worker: four source verticals, each a thin fail-loud client + pure
tested normalize layer + DBOS scheduled workflow:
- ingestGrants (nightly): Search2 paginated (cap 1000) -> fetchOpportunity
  details (cap 200, logged drops, 250ms politeness) -> batched upsert
- ingestPndRss (nightly): RSS via fast-xml-parser, heuristic funder/
  deadline extraction, link-keyed upsert
- ingestNhdojOrgs (monthly): pdfjs-dist positioned-text extraction, pure
  row reconstruction (multi-line names, inferred columns, fail-loud on
  layout change), registry upsert; no-op warn when PDF URL unset
- enrichOrgs (daily): ProPublica search -> conservative name/city match
  (null beats guess) -> latest-filing revenue/NTEE/FYE, per-org steps for
  checkpointed resume, >20% batch failure rethrows

94 worker + 16 core + 5 ai tests green; docs/features/ingestion.md added.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-16 13:11:50 -04:00