Files
grant-outreach-engine/packages/outreach-core/src/matches/queries/get-match-detail.server.ts
Croissant Le Doux cbc4512ffa feat(scoring): v4 — peer precedent, mission-fit floor, LLM match judge
Fixes the federal mismatch class (boys' camp × NIH research center):

- Peer precedent: federalPrecedent paginates USASpending (≤500 awards/
  program) and name-matches every recipient against primary-ICP NH
  registry orgs (shared normalizeOrgNameForMatching, also used by the
  self-match gate). The 25-pt precedent tiers now key off
  program_state_peer_award_count — Dartmouth renewals and SBIR LLCs no
  longer grant precedent to community nonprofits. Raw count + peer-
  annotated award list stay as review evidence (peer badges, peers-first).
- Mission-fit floor (12/30, grants_gov only): below it a match is stored
  with fit_viable=false and hidden from the pending queue, hero selection,
  and easy-win. Foundation-synthesized grants exempt (generic synopses).
- Mission-fit judge live (judgeMatches, 06:15, 200/night best-first):
  JUDGE_MODEL reads the synopsis against the org profile with an explicit
  ignore-eligibility-breadth instruction; graded verdict with required
  citations; deterministic verdict→points map (27/18/8/0) sets missionFit,
  total, easy-win, and viability. Verdicts survive nightly re-scores via
  an upsert splice and re-enter the judge queue when the org profile is
  re-researched (org_profiles.updated_at).

First sweep: 81/149 programs have NH history, only 6 have peer history;
queue-head judging zeroes the research-mechanism garbage (mismatch) while
surfacing genuine strong fits.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-17 10:52:50 -04:00

247 lines
8.3 KiB
TypeScript

import { desc, eq } from 'drizzle-orm';
import type { NpOutreachDatabase, NpOutreachTransaction } from '#~/db/db.js';
import { schema } from '#~/db/db.js';
export interface MatchDetail {
match: {
id: string;
totalScore: number;
subscores: unknown;
rationale: unknown;
easyWin: boolean;
isHero: boolean;
fitViable: boolean;
judgeVerdict: 'strong_fit' | 'plausible' | 'weak' | 'mismatch' | null;
judgeRationale: string | null;
judgedAt: Date | null;
reviewStatus: 'pending' | 'approved' | 'rejected' | 'edited';
};
org: {
id: string;
name: string;
city: string | null;
state: string;
ein: string | null;
nteeCode: string | null;
totalRevenue: number | null;
registrationNumber: string | null;
missionStatement: string | null;
profileConfidence: number | null;
programs: unknown;
knownFunders: unknown;
staff: unknown;
serviceGeography: string | null;
profileSources: unknown;
};
grant: {
id: string;
title: string;
funder: string;
funderEin: string | null;
synopsis: string | null;
awardFloor: number | null;
awardCeiling: number | null;
closeDate: Date | null;
sourceUrl: string;
source: string;
eligibilityEntityTypes: string[] | null;
geographicScope: string | null;
applicationEffortEstimate: string;
};
/** Part XV application info from the funder's latest parsed 990-PF
* (form required, deadlines, restrictions, preselected-only flag). */
funderApplicationInfo: unknown;
/** For 990-PF matches: the funder's actual giving history into the
* org's state — the concrete evidence behind the precedent subscore. */
funderGivingHistory: Array<{
recipientName: string;
recipientCity: string | null;
amount: number | null;
purpose: string | null;
taxYear: number;
/** Federal evidence rows only: recipient name-matched a primary-ICP
* NH nonprofit (the peer-precedent basis). Null for 990-PF rows. */
isPeer: boolean | null;
}>;
}
export async function serverGetMatchDetail(
db: NpOutreachDatabase | NpOutreachTransaction,
matchId: string,
): Promise<MatchDetail | null> {
const rows = await db
.select({
matchId: schema.matches.id,
totalScore: schema.matches.totalScore,
subscores: schema.matches.subscores,
rationale: schema.matches.rationale,
easyWin: schema.matches.easyWin,
isHero: schema.matches.isHero,
fitViable: schema.matches.fitViable,
judgeVerdict: schema.matches.judgeVerdict,
judgeRationale: schema.matches.judgeRationale,
judgedAt: schema.matches.judgedAt,
reviewStatus: schema.matches.reviewStatus,
orgId: schema.orgs.id,
orgName: schema.orgs.name,
orgCity: schema.orgs.city,
orgState: schema.orgs.state,
orgEin: schema.orgs.ein,
orgNtee: schema.orgs.nteeCode,
orgRevenue: schema.orgs.totalRevenue,
orgRegNo: schema.orgs.registrationNumber,
grantId: schema.grants.id,
grantTitle: schema.grants.title,
grantFunder: schema.grants.funder,
grantFunderEin: schema.grants.funderEin,
grantSynopsis: schema.grants.synopsis,
grantFloor: schema.grants.awardFloor,
grantCeiling: schema.grants.awardCeiling,
grantClose: schema.grants.closeDate,
grantSourceUrl: schema.grants.sourceUrl,
grantSource: schema.grants.source,
grantEligibility: schema.grants.eligibilityEntityTypes,
grantGeo: schema.grants.geographicScope,
grantEffort: schema.grants.applicationEffortEstimate,
grantProgramAwards: schema.grants.programStateAwards,
})
.from(schema.matches)
.innerJoin(schema.orgs, eq(schema.matches.orgId, schema.orgs.id))
.innerJoin(schema.grants, eq(schema.matches.grantId, schema.grants.id))
.where(eq(schema.matches.id, matchId))
.limit(1);
const row = rows[0];
if (row == null) return null;
const profiles = await db
.select({
missionStatement: schema.orgProfiles.missionStatement,
confidence: schema.orgProfiles.confidence,
programs: schema.orgProfiles.programs,
knownFunders: schema.orgProfiles.knownFunders,
staff: schema.orgProfiles.staff,
serviceGeography: schema.orgProfiles.serviceGeography,
sources: schema.orgProfiles.sources,
})
.from(schema.orgProfiles)
.where(eq(schema.orgProfiles.orgId, row.orgId))
.limit(1);
let funderGivingHistory: MatchDetail['funderGivingHistory'] = [];
let funderApplicationInfo: unknown = null;
if (row.grantFunderEin == null && Array.isArray(row.grantProgramAwards)) {
// Federal grants: USASpending program awards fill the same evidence
// table (recipient/amount/year) the 990-PF history uses.
// Peers first (the actual precedent evidence), newest within each
// group; capped so a 500-award program doesn't flood the page.
funderGivingHistory = (
row.grantProgramAwards as Array<{
recipientName?: string;
amount?: number | null;
startDate?: string | null;
isPeer?: boolean;
}>
)
.map((a) => ({
recipientName: a.recipientName ?? 'Unknown recipient',
recipientCity: null,
amount: a.amount ?? null,
purpose: null,
taxYear: a.startDate != null ? Number(a.startDate.slice(0, 4)) : 0,
isPeer: a.isPeer ?? null,
}))
.sort((a, b) => {
const peerRank = Number(b.isPeer === true) - Number(a.isPeer === true);
return peerRank !== 0 ? peerRank : b.taxYear - a.taxYear;
})
.slice(0, 40);
}
if (row.grantFunderEin != null) {
const funderRow = await db
.select({ applicationInfo: schema.funders.applicationInfo })
.from(schema.funders)
.where(eq(schema.funders.ein, row.grantFunderEin))
.limit(1);
funderApplicationInfo = funderRow[0]?.applicationInfo ?? null;
const funderRows = await db
.select({
recipientName: schema.funderGrants.recipientName,
recipientCity: schema.funderGrants.recipientCity,
recipientState: schema.funderGrants.recipientState,
amount: schema.funderGrants.amount,
purpose: schema.funderGrants.purpose,
taxYear: schema.funderGrants.taxYear,
})
.from(schema.funderGrants)
.innerJoin(
schema.funders,
eq(schema.funderGrants.funderId, schema.funders.id),
)
.where(eq(schema.funders.ein, row.grantFunderEin))
.orderBy(desc(schema.funderGrants.taxYear), desc(schema.funderGrants.amount))
.limit(200);
// In-state grants first (the precedent evidence), then the rest.
funderGivingHistory = [...funderRows]
.sort((a, b) => {
const aIn = a.recipientState === row.orgState ? 0 : 1;
const bIn = b.recipientState === row.orgState ? 0 : 1;
return aIn - bIn;
})
.slice(0, 40)
.map(({ recipientState: _s, ...rest }) => ({ ...rest, isPeer: null }));
}
return {
match: {
id: row.matchId,
totalScore: row.totalScore,
subscores: row.subscores,
rationale: row.rationale,
easyWin: row.easyWin,
isHero: row.isHero,
fitViable: row.fitViable,
judgeVerdict: row.judgeVerdict,
judgeRationale: row.judgeRationale,
judgedAt: row.judgedAt,
reviewStatus: row.reviewStatus,
},
org: {
id: row.orgId,
name: row.orgName,
city: row.orgCity,
state: row.orgState,
ein: row.orgEin,
nteeCode: row.orgNtee,
totalRevenue: row.orgRevenue,
registrationNumber: row.orgRegNo,
missionStatement: profiles[0]?.missionStatement ?? null,
profileConfidence: profiles[0]?.confidence ?? null,
programs: profiles[0]?.programs ?? null,
knownFunders: profiles[0]?.knownFunders ?? null,
staff: profiles[0]?.staff ?? null,
serviceGeography: profiles[0]?.serviceGeography ?? null,
profileSources: profiles[0]?.sources ?? null,
},
grant: {
id: row.grantId,
title: row.grantTitle,
funder: row.grantFunder,
funderEin: row.grantFunderEin,
synopsis: row.grantSynopsis,
awardFloor: row.grantFloor,
awardCeiling: row.grantCeiling,
closeDate: row.grantClose,
sourceUrl: row.grantSourceUrl,
source: row.grantSource,
eligibilityEntityTypes: row.grantEligibility,
geographicScope: row.grantGeo,
applicationEffortEstimate: row.grantEffort,
},
funderApplicationInfo,
funderGivingHistory,
};
}