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Janady13/missionmatch / internal/modules/ai/graph_teaming.go

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

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FieldRecorded value
Source typeGitHub source
Original recordJanady13/missionmatch / internal/modules/ai/graph_teaming.go
DateNot specified in source
RepositoryJanady13/missionmatch
Revision720d47fae476b0d38477ae4401697d372b1ea2bc
Branchfeature/opportunity-to-outcome
Path or archive memberinternal/modules/ai/graph_teaming.go
Original SHA-25661f6839ce2d8cdabec6fc97f917d7da6dfbe7ab91c1df81ae1535a3ec1ea1149
Git blob SHAa02aafd9c6bd6a928436912bd3ce0181a91b367e
Reading-copy SHA-25661f6839ce2d8cdabec6fc97f917d7da6dfbe7ab91c1df81ae1535a3ec1ea1149

Original source ↗

Every recorded occurrence

These 12 records contain identical original source bytes. Their paths and revisions remain part of the archive.

Original recordBranch or archiveRevision / identifierOriginal location
Janady13/missionmatch / internal/modules/ai/graph_teaming.gofeature/opportunity-to-outcome720d47fae476b0d38477ae4401697d372b1ea2bcOpen original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gocollision-deconfliction4ee5a09972608ed89f8377c6665542d5f450f0a6Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gom5-price-to-win41000ad30fff4129fdaf5ec84e15ba14c27d4890Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gomaster1e9249840a4302ec82e123b9c9cb6f75badea3e4Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gomag-substrateb82c7100a492dec67dfd1eda6b3f53def859be35Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gotime-to-fill-survivalb66e1e505863d4f17741a4b9ede73509e45bd6c6Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gographrag-foundationb0ddeb9f633fd138d09309d1a17b7d13bc3a67f7Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gopresentation-readinesseb574acaa29d71ce4d0f852572e87c275c79fdb7Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.govendor-intelligencefe9796a19c261951d3f2565206c0c1b5ac294465Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gophase2-connectorse038d4c687aec16f8bd9bc4d907eea14d91f8704Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gofeature/aioe-upgrade2178e7298d0e5d9af83afa12402fd587f0ba6ed8Open original
Janady13/missionmatch / internal/modules/ai/graph_teaming.gocapture-readinessbae6af7cb2997e819174a9e9cfff5e16067a1975Open original

Recovered source transcript

package ai // G2 public vendor co occurrence and teaming field graph. This file adds the partner and competitor field // intelligence as FIXED, named, parameterized QueryIntents over the GLOBAL PUBLIC market tables only: // usaspending_awards (the federal award cache, the prime recipient of record per segment) and // opportunity_records (the unified catalog, the finer (agency, naics, psc, set_aside, pop_state) tuple and // the incumbent context). Where G1 reads the competitor field of a segment, G9 the recompete lifecycle, and // G7 the buyer pattern, G2 reads the VENDOR co occurrence plane: which UEIs appear together in a segment (the // likely teaming and competitor field), whether a given partner tends to team with the tenant's own past // performance or to hold the prime against it, and the co occurring vendor neighborhood around the incumbent // of an expiring contract (the likely teaming field before the RFP drops). // // PUBLIC DATA ONLY, the Phase 1 scope boundary, enforced by construction. The tenant gap intersection // questions (which partner closes OUR bench gap, which join a requirement or a candidate table) are DEFERRED // to Phase 2 and G6, when the person plane comes online under RLS. NO intent in this file reads a tenant // table (no requirements, no candidates, no bench, never the eeo schema). The only tenant side these reads // touch is the PUBLIC is_galapagos self tag on usaspending_awards, a column on the public award catalog, not // a tenant table read; the tenant's own past performance is just another public award row flagged // is_galapagos. // // The graph NEVER computes a match score, a band, or any employment decision number. A co occurrence count, a // dollar concentration, a team versus compete ratio are MARKET aggregates, structure the capture team reads, // and they are explicitly NOT match scores; the frozen engine in internal/modules/matching/engine stays the // only scorer and is untouched. The model never authors this SQL: every statement is a static, reviewed // constant, registered in the closed Registry, asserted by ValidateRegistry at boot, and re guarded by // GuardReadOnlyQuery on every execution. // // Honesty mandates from the GraphRAG review, encoded by construction: // - usaspending_awards carries NO psc, NO set_aside, and NO pop_state column, so the awards co occurrence // keys ONLY on (awarding_agency, naics_code). The finer five tuple precision is opportunity_records // sourced and each edge carries its source_table so a reader never mistakes an award keyed on (agency, // naics) for a slice the award table cannot support. // - every vendor edge is labeled prime-of-record (a constant label), never the staffing subcontractor, // because the sub award labor reality is absent from the public award data; the prime recipient or the // catalog recorded incumbent is the only honest vendor the data supports. // - the team versus compete ratio is computed from PUBLIC co occurrence alone (the is_galapagos self tag on // the public awards), never a tenant table; a market where the partner co occurs with an is_galapagos row // reads as same side teaming context, a market where the partner holds the prime in the tenant core NAICS // reads as compete context. // // Decimal, not float. Every dollar figure (award_amount, estimated_value), every concentration, and the team // versus compete ratio is Postgres numeric end to end and is scanned into shopspring/decimal in Go, NEVER // float64 and NEVER cast through ::float8: a surfaced market figure is a decision adjacent number and the // platform's decimal rule applies. The ratio is a numeric over a numeric guarded with NULLIF so a partner // with no compete market divides safely (a null ratio, never a divide by zero), and nullable text columns are // COALESCEd and nullable numerics are kept as decimal pointers (the G9 NULL discipline), so a row with a // missing piece scans cleanly. import ( "context" "errors" "github.com/jackc/pgx/v5" "github.com/jackc/pgx/v5/pgtype" "github.com/shopspring/decimal" "github.com/missionworkforce/missionmatch/internal/platform/tenant" ) // The registered names of the three G2 teaming intents. Each is a FIXED entry in the closed Registry in // tag.go, so ValidateRegistry asserts it at boot and ExecuteIntent runs it through the same guard, tenant // transaction, and audit posture as every other TAG intent. const ( IntentVendorCooccurrenceField = "vendor_cooccurrence_field" IntentPartnerOrCompetitorRatio = "partner_or_competitor_ratio" IntentRecompeteTeamingField = "recompete_teaming_field" ) // vendorCooccurrenceFieldSQL is the FIXED co occurrence field. Given an agency ($1) and a NAICS ($2), it // returns the set of recipient and incumbent UEIs that co occur in that segment, so the likely teaming and // competitor field is visible. The awards arm keys ONLY on (awarding_agency, naics_code), the only keys // usaspending_awards carries, and the opportunity_records arm contributes the finer tuple sourced incumbent // context for the SAME (agency, naics); each row carries its source_table so an award keyed on (agency, // naics) is never conflated with an opportunity sourced slice. Every vendor edge is labeled prime-of-record. // // Honesty and determinism, line by line: // - the awards arm aggregates the segment award dollars per recipient UEI (a numeric, the dollar // concentration signal), keyed only on (awarding_agency, naics_code), with the contributing award count // as evidence and is_galapagos flagging the tenant's own past performance, // - the opportunity_records arm contributes the catalog recorded incumbent UEIs in the SAME (agency, naics), // labeled opportunity_records sourced, so the finer catalog context appears without pretending the award // table carries the slice, // - a UEI is dropped only when it is the empty string (no honest vendor identity), so the field is the real // co occurring set, // - the result is ordered by the dollar concentration DESC (the awards signal, a numeric) with a UEI // tiebreaker, a total order over the grouped rows, so the same inputs yield byte identical rows. const vendorCooccurrenceFieldSQL = ` WITH award_field AS ( SELECT a.recipient_uei AS vendor_uei, max(a.recipient_name) AS vendor_name, bool_or(a.is_galapagos) AS is_galapagos, count(*) AS edge_count, sum(a.award_amount)::numeric AS segment_dollars FROM usaspending_awards a WHERE a.awarding_agency = $1 AND a.naics_code = $2 AND a.recipient_uei <> '' AND a.award_amount IS NOT NULL GROUP BY a.recipient_uei ), opp_field AS ( SELECT o.incumbent_uei AS vendor_uei, max(o.incumbent_name) AS vendor_name, count(*) AS edge_count FROM opportunity_records o WHERE o.agency = $1 AND o.naics = $2 AND o.incumbent_uei <> '' GROUP BY o.incumbent_uei ) SELECT af.vendor_uei AS vendor_uei, coalesce(af.vendor_name, '') AS vendor_name, af.is_galapagos AS is_galapagos, 'usaspending_awards' AS source_table, 'prime-of-record' AS vendor_role, af.edge_count AS edge_count, af.segment_dollars AS segment_dollars FROM award_field af UNION ALL SELECT of2.vendor_uei AS vendor_uei, coalesce(of2.vendor_name, '') AS vendor_name, false AS is_galapagos, 'opportunity_records' AS source_table, 'prime-of-record' AS vendor_role, of2.edge_count AS edge_count, NULL::numeric AS segment_dollars FROM opp_field of2 ORDER BY segment_dollars DESC NULLS LAST, source_table, vendor_uei` // partnerOrCompetitorRatioSQL is the FIXED team versus compete read. Given a target partner UEI ($1) and a // core NAICS ($2), it returns, from PUBLIC co occurrence alone, the count of (agency, naics) markets where the // partner co occurs with the tenant's own past performance (an is_galapagos award in the same (agency, naics) // segment, the same side teaming context) versus the count of markets where the partner holds the prime in // the tenant core NAICS without a tenant award present (the compete context), expressed as a team versus // compete ratio. It reads ONLY usaspending_awards and the is_galapagos self tag, NO tenant table. // // Honesty and decimal, line by line: // - the markets are the distinct (awarding_agency, naics_code) segments the partner appears in within the // core NAICS, the only keys usaspending_awards carries, // - a team market is one where the same segment also carries an is_galapagos award (the tenant's own past // performance co occurs), a same side signal from the public flag, never a tenant table, // - a compete market is one in the core NAICS where the partner holds the prime and no is_galapagos award is // present, the partner standing on the other side, // - the ratio is team_markets over compete_markets in numeric, guarded with NULLIF(compete_markets, 0) so a // partner with no compete market divides to a null ratio rather than a divide by zero, never a float, // - the single summary row is a total order on its own (one row), so the output is byte stable. const partnerOrCompetitorRatioSQL = ` WITH partner_markets AS ( SELECT DISTINCT a.awarding_agency, a.naics_code FROM usaspending_awards a WHERE a.recipient_uei = $1 AND a.naics_code = $2 AND a.recipient_uei <> '' ), galapagos_markets AS ( SELECT DISTINCT a.awarding_agency, a.naics_code FROM usaspending_awards a WHERE a.is_galapagos = true AND a.naics_code = $2 ), classified AS ( SELECT pm.awarding_agency, pm.naics_code, (gm.awarding_agency IS NOT NULL) AS is_team_market FROM partner_markets pm LEFT JOIN galapagos_markets gm ON gm.awarding_agency = pm.awarding_agency AND gm.naics_code = pm.naics_code ) SELECT $1::text AS partner_uei, 'prime-of-record' AS partner_role, count(*) FILTER (WHERE c.is_team_market)::int AS team_markets, count(*) FILTER (WHERE NOT c.is_team_market)::int AS compete_markets, (count(*) FILTER (WHERE c.is_team_market))::numeric / NULLIF((count(*) FILTER (WHERE NOT c.is_team_market))::numeric, 0) AS team_vs_compete_ratio FROM classified c` // recompeteTeamingFieldSQL is the FIXED recompete teaming field. Given an agency ($1) and a forward window in // months ($2), it returns the opportunities whose pop_end_date falls inside the forward window, each carrying // its incumbent UEI, joined to that incumbent's co occurring vendor neighborhood in the same NAICS over the // public awards, the likely teaming field before the RFP drops. It reads ONLY opportunity_records and // usaspending_awards, NO tenant table. // // Honesty and determinism, line by line: // - the expiring opportunities are opportunity_records whose pop_end_date is inside the forward window for // the agency, the recompete clock surface, // - the incumbent neighborhood is the set of recipient UEIs that co occur with the opportunity's incumbent // in the SAME naics over usaspending_awards (the neighbor and the incumbent both hold an award in that // (agency, naics) segment), keyed only on (awarding_agency, naics_code), the only keys the award carries, // - the incumbent's own UEI is excluded from its neighborhood so a vendor is never listed as its own // neighbor, // - every neighbor edge is labeled prime-of-record and carries its co occurring segment dollars (a numeric, // the concentration signal), is_galapagos flagging the tenant's own past performance, // - the result is ordered by pop_end_date then the opportunity id then the neighbor UEI, a total order over // the rows, so the same inputs yield byte identical rows. const recompeteTeamingFieldSQL = ` WITH expiring AS ( SELECT o.id, o.title, o.agency, o.naics, o.incumbent_uei, o.incumbent_name, o.pop_end_date FROM opportunity_records o WHERE o.agency = $1 AND o.incumbent_uei <> '' AND o.pop_end_date IS NOT NULL AND o.pop_end_date >= now()::date AND o.pop_end_date <= (now()::date + ($2::int * 30)) ), neighborhood AS ( SELECT e.id AS opportunity_id, a.recipient_uei AS neighbor_uei, max(a.recipient_name) AS neighbor_name, bool_or(a.is_galapagos) AS is_galapagos, count(*) AS edge_count, sum(a.award_amount)::numeric AS neighbor_dollars FROM expiring e JOIN usaspending_awards a ON a.naics_code = e.naics AND a.recipient_uei <> '' AND a.recipient_uei <> e.incumbent_uei AND a.award_amount IS NOT NULL AND EXISTS ( SELECT 1 FROM usaspending_awards inc WHERE inc.awarding_agency = a.awarding_agency AND inc.naics_code = a.naics_code AND inc.recipient_uei = e.incumbent_uei ) GROUP BY e.id, a.recipient_uei ) SELECT e.id::text AS opportunity_id, e.title AS opportunity_title, e.agency AS agency, e.naics AS naics, e.incumbent_uei AS incumbent_uei, coalesce(e.incumbent_name, '') AS incumbent_name, 'prime-of-record' AS incumbent_role, coalesce(n.neighbor_uei, '') AS neighbor_uei, coalesce(n.neighbor_name, '') AS neighbor_name, coalesce(n.is_galapagos, false) AS neighbor_is_galapagos, coalesce(n.edge_count, 0) AS neighbor_edge_count, n.neighbor_dollars AS neighbor_dollars, e.pop_end_date AS pop_end_date FROM expiring e LEFT JOIN neighborhood n ON n.opportunity_id = e.id ORDER BY e.pop_end_date, e.id, neighbor_uei` // CooccurrenceRow is one vendor in a co occurrence field: the vendor UEI, whether it is the tenant's own past // performance (is_galapagos), the source table the edge came from (so an award keyed on (agency, naics) is // never conflated with an opportunity sourced slice), the prime-of-record label, the contributing edge count // (the evidence), and the segment dollars (a decimal pointer, null on an opportunity sourced edge that // carries no award dollars). It is pure market structure: there is no match score and no employment decision // number on it. type CooccurrenceRow struct { VendorUEI string `json:"vendor_uei"` VendorName string `json:"vendor_name"` IsGalapagos bool `json:"is_galapagos"` SourceTable string `json:"source_table"` VendorRole string `json:"vendor_role"` EdgeCount int `json:"edge_count"` SegmentDollars *decimal.Decimal `json:"segment_dollars,omitempty"` } // VendorCooccurrenceField runs the registered vendor_cooccurrence_field intent for an agency and a NAICS, // scanning the segment dollars into a decimal pointer (null on the opportunity sourced edge). The awards arm // keys on (agency, naics) the only way usaspending_awards supports; every edge is labeled prime-of-record by // construction. The generic ExecuteIntent path remains available to the narration layer. func VendorCooccurrenceField(ctx context.Context, db *tenant.DB, agency, naics string) ([]CooccurrenceRow, error) { if db == nil { return nil, errors.New("ai: no database") } var out []CooccurrenceRow err := db.RunInTenantTx(ctx, func(ctx context.Context, tx pgx.Tx) error { if err := GuardReadOnlyQuery(vendorCooccurrenceFieldSQL, ReadAllowlist); err != nil { return err } rows, err := tx.Query(ctx, vendorCooccurrenceFieldSQL, agency, naics) if err != nil { return err } defer rows.Close() for rows.Next() { var r CooccurrenceRow if err := rows.Scan(&r.VendorUEI, &r.VendorName, &r.IsGalapagos, &r.SourceTable, &r.VendorRole, &r.EdgeCount, &r.SegmentDollars); err != nil { return err } out = append(out, r) } return rows.Err() }) return out, err } // PartnerRatioRow is the team versus compete summary for one partner UEI in the tenant core NAICS, from PUBLIC // co occurrence alone: the partner labeled prime-of-record, the count of team markets (where the partner co // occurs with the tenant's own is_galapagos past performance, the same side context), the count of compete // markets (where the partner holds the prime without the tenant present), and the team versus compete ratio (a // decimal pointer, null when the partner has no compete market, the divide by zero guard). It is pure market // structure: there is no match score and no employment decision number on it, and it reads no tenant table. type PartnerRatioRow struct { PartnerUEI string `json:"partner_uei"` PartnerRole string `json:"partner_role"` TeamMarkets int `json:"team_markets"` CompeteMarkets int `json:"compete_markets"` TeamVsCompeteRatio *decimal.Decimal `json:"team_vs_compete_ratio,omitempty"` } // PartnerOrCompetitorRatio runs the registered partner_or_competitor_ratio intent for a partner UEI and a core // NAICS, scanning the ratio into a decimal pointer. The ratio is team markets over compete markets, guarded // with NULLIF so a partner with no compete market divides to a null ratio rather than a divide by zero. It // reads ONLY usaspending_awards and the is_galapagos self tag, NO tenant table. func PartnerOrCompetitorRatio(ctx context.Context, db *tenant.DB, partnerUEI, naics string) ([]PartnerRatioRow, error) { if db == nil { return nil, errors.New("ai: no database") } var out []PartnerRatioRow err := db.RunInTenantTx(ctx, func(ctx context.Context, tx pgx.Tx) error { if err := GuardReadOnlyQuery(partnerOrCompetitorRatioSQL, ReadAllowlist); err != nil { return err } rows, err := tx.Query(ctx, partnerOrCompetitorRatioSQL, partnerUEI, naics) if err != nil { return err } defer rows.Close() for rows.Next() { var r PartnerRatioRow if err := rows.Scan(&r.PartnerUEI, &r.PartnerRole, &r.TeamMarkets, &r.CompeteMarkets, &r.TeamVsCompeteRatio); err != nil { return err } out = append(out, r) } return rows.Err() }) return out, err } // TeamingFieldRow is one opportunity plus one neighbor in the recompete teaming field: the expiring // opportunity, its incumbent UEI labeled prime-of-record, one co occurring neighbor UEI (also prime-of-record, // the empty string when the incumbent has no neighborhood), whether the neighbor is the tenant's own past // performance (is_galapagos), the contributing edge count, the neighbor's co occurring segment dollars (a // decimal pointer), and the pop_end_date that puts the opportunity in the window. It carries no score and // reads no tenant table. type TeamingFieldRow struct { OpportunityID string `json:"opportunity_id"` OpportunityTitle string `json:"opportunity_title"` Agency string `json:"agency"` NAICS string `json:"naics"` IncumbentUEI string `json:"incumbent_uei"` IncumbentName string `json:"incumbent_name"` IncumbentRole string `json:"incumbent_role"` NeighborUEI string `json:"neighbor_uei"` NeighborName string `json:"neighbor_name"` NeighborIsGalapagos bool `json:"neighbor_is_galapagos"` NeighborEdgeCount int `json:"neighbor_edge_count"` NeighborDollars *decimal.Decimal `json:"neighbor_dollars,omitempty"` PopEndDate string `json:"pop_end_date"` } // RecompeteTeamingField runs the registered recompete_teaming_field intent for an agency and a window in // months, scanning the neighbor dollars into a decimal pointer. The window is clamped to the bounded range by // the registered ParamInt Min and Max on the structured path; this typed helper clamps with // ClampRecompeteWindowMonths so the scan is always bounded. It reads ONLY opportunity_records and // usaspending_awards, NO tenant table. func RecompeteTeamingField(ctx context.Context, db *tenant.DB, agency string, windowMonths int) ([]TeamingFieldRow, error) { if db == nil { return nil, errors.New("ai: no database") } var out []TeamingFieldRow err := db.RunInTenantTx(ctx, func(ctx context.Context, tx pgx.Tx) error { if err := GuardReadOnlyQuery(recompeteTeamingFieldSQL, ReadAllowlist); err != nil { return err } rows, err := tx.Query(ctx, recompeteTeamingFieldSQL, agency, ClampRecompeteWindowMonths(windowMonths)) if err != nil { return err } defer rows.Close() for rows.Next() { var ( r TeamingFieldRow popEnd pgtype.Date ) if err := rows.Scan(&r.OpportunityID, &r.OpportunityTitle, &r.Agency, &r.NAICS, &r.IncumbentUEI, &r.IncumbentName, &r.IncumbentRole, &r.NeighborUEI, &r.NeighborName, &r.NeighborIsGalapagos, &r.NeighborEdgeCount, &r.NeighborDollars, &popEnd); err != nil { return err } r.PopEndDate = isoDate(popEnd) out = append(out, r) } return rows.Err() }) return out, err }

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