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Janady13/missionmatch / sqlc.yaml

Source identity, revision, and recovered contents.

GitHub sourceSource text recovered

Source identity

FieldRecorded value
Source typeGitHub source
Original recordJanady13/missionmatch / sqlc.yaml
DateNot specified in source
RepositoryJanady13/missionmatch
Revision09015496d565a172bcaa15cfe9a8e4b072b13df0
Branchworkstream-b-screenmatch
Path or archive membersqlc.yaml
Original SHA-256cacf80e860a607d6339b1f0a29f5673250f4c3092d6db62a286b6fb5ecea6b87
Git blob SHAaa43dd4cca7fed96399eacec0027b07c1d865906
Reading-copy SHA-256cacf80e860a607d6339b1f0a29f5673250f4c3092d6db62a286b6fb5ecea6b87

Original source ↗

Every recorded occurrence

These 9 records contain identical original source bytes. Their paths and revisions remain part of the archive.

Original recordBranch or archiveRevision / identifierOriginal location
Janady13/missionmatch / sqlc.yamlworkstream-b-screenmatch09015496d565a172bcaa15cfe9a8e4b072b13df0Open original
Janady13/missionmatch / sqlc.yamlworkstream-d-missionmatch3be46ba89edb737182075a2b320509b42dc916f8Open original
Janady13/missionmatch / sqlc.yamlworkstream-e-dataflow-deploy433815a042f9741411e60fa553fe72143e9b10dbOpen original
Janady13/missionmatch / sqlc.yamlworkstream-c-slatematch5cd60c918301b46ecd6ed3e03e20c395da0062e2Open original
Janady13/missionmatch / sqlc.yamlai-intelligence-layer5d5ddff70393a197c5f54a45280bb5dd42b24755Open original
Janady13/missionmatch / sqlc.yamlworkstream-c-slatematch5cd60c918301b46ecd6ed3e03e20c395da0062e2Open original
Janady13/missionmatch / sqlc.yamlworkstream-e-dataflow-deploy433815a042f9741411e60fa553fe72143e9b10dbOpen original
Janady13/missionmatch / sqlc.yamlworkstream-b-screenmatch09015496d565a172bcaa15cfe9a8e4b072b13df0Open original
Janady13/missionmatch / sqlc.yamlworkstream-d-missionmatch3be46ba89edb737182075a2b320509b42dc916f8Open original

Recovered source transcript

version: "2" sql: - engine: "postgresql" schema: "db/migrations" # goose-annotated; sqlc parses these as the schema (ignores -- +goose Down) queries: "db/queries" # ONLY public-schema queries — no eeo queries here, so generated # matching code physically cannot reference eeo.candidate_demographics gen: go: package: "dbgen" out: "internal/platform/database/dbgen" sql_package: "pgx/v5" emit_json_tags: true emit_pointers_for_null_types: true emit_interface: true emit_empty_slices: true overrides: - db_type: "uuid" go_type: { import: "github.com/google/uuid", type: "UUID" } - db_type: "uuid" nullable: true go_type: { import: "github.com/google/uuid", type: "UUID", pointer: true } - db_type: "timestamptz" # BARE name (pg_catalog.timestamptz does NOT match under pgx/v5) go_type: "time.Time" - db_type: "timestamptz" nullable: true go_type: { type: "time.Time", pointer: true } - db_type: "pg_catalog.numeric" # covers AVG()/expression numeric results go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } # NUMERIC db_type override is IGNORED for plain columns under pgx/v5 — a per-column override # is REQUIRED on every numeric table column to honor the decimal-determinism rule. - column: "opportunities.value" go_type: { import: "github.com/shopspring/decimal", type: "Decimal", pointer: true } - column: "usaspending_awards.award_amount" go_type: { import: "github.com/shopspring/decimal", type: "Decimal", pointer: true } - column: "bls_wages.value" go_type: { import: "github.com/shopspring/decimal", type: "Decimal", pointer: true } - column: "opportunity_records.estimated_value" go_type: { import: "github.com/shopspring/decimal", type: "Decimal", pointer: true } - column: "slate_members.total_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "slate_members.clearance_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "slate_members.skills_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "slate_members.certs_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "slate_members.customer_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "slate_members.experience_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "slate_members.location_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.total_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.clearance_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.skills_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.certs_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.customer_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.experience_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - column: "candidate_evaluations.location_score" go_type: { import: "github.com/shopspring/decimal", type: "Decimal" } - db_type: "vector" go_type: { import: "github.com/pgvector/pgvector-go", package: "pgvector", type: "Vector" } - db_type: "vector" nullable: true go_type: { import: "github.com/pgvector/pgvector-go", package: "pgvector", type: "Vector", pointer: true }

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