mirror of
https://github.com/vxcontrol/pentagi.git
synced 2026-07-10 22:27:02 +00:00
Dmitry Ng
3a52079278
- GraphQL/REST CRUD + semantic search for knowledge documents - KnowledgeStore with admin/user-scoped filtering, re-embedding on update - Real-time subscriptions (created/updated/deleted) per user and admin - user_id tracking in all agent-stored documents (guide/answer/code/memory) - sqlc queries, goose migrations, privilege grants, user_id backfill - Memory cleanup on flow deletion; stale orphan purge via migration - Unit tests for all KnowledgeStore operations including security cases - Frontend GraphQL schema and TypeScript types regenerated
38 lines
1.2 KiB
YAML
38 lines
1.2 KiB
YAML
# SQLC configuration for PentAGI database layer code generation
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# Generates type-safe Go code from SQL queries and PostgreSQL schema
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version: "2"
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cloud:
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sql:
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- engine: "postgresql"
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queries: ["models/*.sql"]
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schema: ["../migrations/sql/*.sql"]
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# Go code generation settings
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gen:
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go:
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package: "database"
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out: "../pkg/database"
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sql_package: "database/sql"
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emit_interface: true # Generate Querier interface for mocking
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emit_json_tags: true # Add JSON tags to generated structs
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# PostgreSQL to Go type mappings
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overrides:
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- db_type: "pg_catalog.numeric"
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go_type: "float64"
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- db_type: "bigint"
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go_type: "int64"
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# pgvector extension type — never selected in queries, but sqlc needs a mapping
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# to generate the LangchainPgEmbedding model struct in models.go.
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- db_type: "pg_catalog.vector"
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go_type: "string"
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nullable: true
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- db_type: "vector"
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go_type: "string"
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nullable: true
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# Database connection for sqlc analysis
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database:
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uri: ${DATABASE_URL}
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