Add repository layer strategy: JSON path queries, CRUD decisions, ecosystem integration
Add three open questions (OQ-17, OQ-18, OQ-19) covering attribute query strategy, CRUD generation approach, and storage-operations bridge placement. Create ADR-033 recording the v1 decision: JSON path queries for attributes with hand-written CRUD for static tables. Expand forward-look.md with Repository Layer Strategy section analyzing three approaches (JSON path, native columns via dbtype, hybrid) and their implications for the metagraph pattern. Add drizzle-graphql and dbtype from-dbtype comparison showing neither handles dynamic schema-as-data. Update overview.md with dbtype/ujsx in the dependency diagram, expanded ecosystem context in the bridging pattern section, and new open questions. Align open-questions.md: resolve OQ-17 and OQ-18 for v1 (ADR-033), add OQ-19 as open, update summary counts and ADR impact table.
This commit is contained in:
@@ -58,6 +58,7 @@ Storage has Phase 1-3 of the metagraph implementation complete: Metagraph Module
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| [030](decisions/030-schema-change-detection-via-diff.md) | Schema change detection via Value.Diff | Accepted |
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| [031](decisions/031-moduletodbschema-for-updates.md) | moduleToDbSchema() for schema updates | Accepted |
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| [032](decisions/032-single-author-not-crdt.md) | Single-author model, not CRDT | Accepted |
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| [033](decisions/033-json-path-queries-for-v1.md) | JSON path queries and hand-written CRUD for v1 | Accepted |
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### Open Questions
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53
docs/architecture/decisions/033-json-path-queries-for-v1.md
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53
docs/architecture/decisions/033-json-path-queries-for-v1.md
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@@ -0,0 +1,53 @@
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# ADR-033: JSON path queries and hand-written CRUD for v1 repository layer
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## Status
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Accepted
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## Context
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The repository layer is the next major feature for `@alkdev/storage`. It needs to provide typed CRUD operations for the 6 metagraph tables and query capability for node/edge attributes stored as JSON columns.
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The metagraph pattern stores node and edge attributes as JSON (`attributes text not null default '{}'` with JSON mode in SQLite, `jsonb` in PG). This is fundamental to the design — node types are dynamic schemas defined at runtime and stored in `node_types.schema`, not static columns known at database definition time.
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Three approaches exist for querying attributes:
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1. **JSON path queries**: Map filter criteria to `json_extract()` (SQLite) or `->>` / `#>>` (PG). Works with current table definitions. No native index support on individual attributes.
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2. **Native columns via dbtype**: Render the metagraph tables via `@alkdev/dbtype` element trees and make attributes native columns. Conflicts with the metagraph's dynamic schema model — attributes are runtime data, not static columns.
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3. **Hybrid**: dbtype renders the 6 static tables. Attributes remain JSON (dynamic schema requirement). CRUD for static tables could be auto-generated. Graph-specific queries use JSON path. Virtual columns for frequently queried attributes as a later optimization.
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Separately, the CRUD operations for the 6 metagraph tables (insert graph type, find node by key, etc.) could be hand-written, auto-generated from Drizzle schemas (drizzle-graphql pattern), or auto-generated from dbtype element trees (the `from-dbtype` adapter pattern).
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## Decision
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For v1:
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1. **Attribute queries use JSON path extraction** (`json_extract` on SQLite, `->>`/`#>>` on PG). This preserves the metagraph's dynamic schema model. Native column indexes on individual attributes are not available in v1.
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2. **Static table CRUD operations are hand-written** with explicit function signatures (`findNode(graphId, key)`, `insertNodeType(...)`, etc.). No auto-generation from Drizzle or dbtype.
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3. **dbtype integration is deferred** (per ADR-018). The hybrid approach remains viable for a future iteration but is not the v1 path.
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4. **Virtual/computed columns for frequently queried attributes** are a post-v1 optimization, not a v1 design concern.
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The repository layer will have two parts:
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- **Static table CRUD**: Insert, find, update, delete for graph_types, node_types, edge_types, graphs, nodes, edges, actors.
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- **Graph data queries**: JSON path queries against node/edge attributes, validated by the Module schema at the application layer.
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## Consequences
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- v1 repository API uses JSON path for attribute queries — no native SQL indexes on attributes
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- CRUD function signatures are known and explicit — no generated code surface to learn
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- PG can add GIN indexes on `jsonb` columns for containment queries, but not for arbitrary key-value lookups
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- The hand-written CRUD path doesn't block any future auto-generation approach (dbtype `from-dbtype`, drizzle-graphql pattern, or a `from-storage` adapter in `@alkdev/operations`)
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- The metagraph's dynamic schema model is preserved — attributes are always JSON, not static columns
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## References
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- [forward-look.md](../forward-look.md) — Repository Layer Strategy section (full analysis)
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- [overview.md](../overview.md) — Repository Layer Bridging Pattern
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- [sqlite-host.md](../sqlite-host.md) — JSON text for schema columns (ADR-019)
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- ADR-018: dbtype integration is post-v1
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- ADR-005: Drizzle + TypeBox via drizzlebox
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@@ -1,5 +1,5 @@
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---
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status: draft
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status: reviewed
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last_updated: 2026-05-30
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---
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@@ -225,6 +225,129 @@ The Module-based graph type definitions (this spec) are the **first concrete
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step** in this pipeline. Everything else builds on having a `Type.Module` as
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the schema source of truth.
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## Repository Layer Strategy
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The repository layer (typed CRUD for the 6 metagraph tables + queries for graph data)
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is the next major feature to implement. The question of *how* it queries attributes
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connects to broader ecosystem decisions about dbtype and operations.
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### Three Approaches
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#### A. JSON Path Queries (Near-Term)
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The repository layer maps filter criteria to JSON path extraction:
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```ts
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findNodes({ graphId, attributes: { status: "active" } })
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// SQLite: json_extract(attributes, '$.status') = 'active'
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// PG: attributes ->> 'status' = 'active'
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```
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- Works with current table definitions (no schema changes)
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- SQLite `json_extract()` and PG `->>` / `#>>` operators handle JSON path
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- No native index support on individual JSON attributes
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- PG can add GIN indexes on `jsonb` columns for containment queries, but not for
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arbitrary key-value lookups
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- Simple, immediate, no new infrastructure
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This is the pragmatic v1 approach. The metagraph pattern *requires* JSON attributes
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because node types are dynamic schemas (defined at runtime, stored in
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`node_types.schema`), not static columns known at database definition time.
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#### B. Native Columns via dbtype (Long-Term, Speculative)
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If storage migrates to dbtype element trees for table definitions, the 6 static
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metagraph tables (graph_types, node_types, edge_types, graphs, nodes, edges) could
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be rendered via the dbtype pipeline: element tree → HostConfig → Drizzle tables.
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This would eliminate the manual duplication between `sqlite/` and future `pg/`.
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However, dbtype does NOT solve the attribute indexing problem:
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- The metagraph's `attributes` column MUST remain JSON because the shape is defined
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by runtime schemas (node type definitions), not by static column definitions
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- dbtype generates static table schemas; it does not handle dynamic schema-as-data
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patterns like the metagraph
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- A "call" node's attributes (`requestId`, `status`, `duration`) are not columns
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on the `nodes` table — they're values in the `attributes` JSON column, validated
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by the corresponding node type's TypeBox schema
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#### C. Hybrid: Static Tables via dbtype, Dynamic Attributes Remain JSON
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The hybrid approach preserves the metagraph's dynamic schema model while leveraging
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dbtype for the static table scaffolding:
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1. **Static tables**: dbtype renders the 6 metagraph tables to Drizzle dialects.
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This eliminates the SQLite/PG manual duplication for table *structure*.
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The `attributes` column is still `text/jsonb` across both dialects.
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2. **Dynamic attributes**: Remain JSON. The Module-based node type schemas validate
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data at the application layer, not the database layer. This is by design
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(ADR-003, ADR-014).
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3. **Virtual columns / computed columns**: A post-v1 optimization, not a v1 concern.
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Frequently queried attributes could be extracted to indexed columns as a
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performance optimization. For example, if `nodes.attributes.status` is a common
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filter, a computed column or trigger could copy it to `nodes.status_column` with
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an index. This would be a denormalization trade-off (triggers, migration
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complexity, dual-write responsibility) and is not designed or planned for v1.
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4. **Repository CRUD**: The static table CRUD operations (insert graph type, find
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node by key) could be auto-generated like drizzle-graphql or the dbtype
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`from-dbtype` adapter. Graph-specific attribute queries remain JSON path.
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### Implications for Each Approach
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| Concern | Path A (JSON) | Path B (Native) | Path C (Hybrid) |
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|---------|---------------|-----------------|------------------|
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| Works today | ✅ | ❌ (requires dbtype) | ❌ (requires dbtype) |
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| Preserves metagraph pattern | ✅ | ❌ (conflicts with dynamic schemas) | ✅ |
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| Eliminates SQLite/PG duplication | ❌ | ✅ | ✅ |
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| Indexes on attributes | GIN on PG only | ✅ full native | GIN + virtual columns |
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| Repository generation | Hand-write CRUD | Auto-gen from dbtype | Auto-gen for static, JSON path for dynamic |
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| Dependency on dbtype | None | Full | Partial (static tables only) |
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### Connection to drizzle-graphql
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The overview references drizzle-graphql as a pattern for auto-generating a CRUD/query
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surface. The dbtype `from-dbtype` adapter is the @alkdev equivalent: it consumes
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element trees + Type.Module bundles and produces `OperationSpec[]` for the
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operations registry.
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The parallel:
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| Concern | drizzle-graphql | dbtype from-dbtype |
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|---------|----------------|-------------------|
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| Input | Drizzle schema (tables + relations) | UJSX element tree + Type.Module |
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| Output | GraphQL schema (queries + mutations) | `OperationSpec[]` (CRUD operations) |
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| Dialects | SQLite, PG, MySQL | SQLite, PG, MySQL (via HostConfig) |
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| Table model | Static columns only | Static columns only |
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| Dynamic data (JSON attrs) | Not handled | Not handled |
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Neither drizzle-graphql nor dbtype's `from-dbtype` handles dynamic schema-as-data
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patterns. The metagraph's JSON attributes require their own query layer, regardless
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of whether the static tables are auto-generated. This means the repository layer
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for `@alkdev/storage` will always have two parts:
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1. **Static table CRUD** — could be auto-generated (by dbtype or hand-written)
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2. **Graph data queries** — JSON path queries against the `attributes` column,
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validated by the Module schema at the application layer
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### v1 Decision
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For v1, the practical path is **A (JSON path queries) with hand-written CRUD**. This
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decision is recorded as [ADR-033](./decisions/033-json-path-queries-for-v1.md). The
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hybrid approach (C) remains viable for a future iteration when dbtype reaches
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implementation, and it doesn't require any changes to the metagraph data model —
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only to how the static table definitions are generated. See OQ-17, OQ-18, OQ-19
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in [open-questions.md](./open-questions.md) for the specific long-term questions
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that remain open beyond v1.
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### Decisions Required
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- **OQ-17**: JSON path vs native columns vs hybrid for attribute queries (resolved for v1 — see ADR-033)
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- **OQ-18**: Auto-generated vs hand-written CRUD for static tables (resolved for v1 — see ADR-033)
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- **OQ-19**: Where the storage-operations bridge package should live (open)
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## Constraints on Current Design
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The forward-looking patterns documented here constrain the Module evolution
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@@ -263,7 +386,11 @@ design in [metagraph-module.md](./metagraph-module.md):
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- dbtype architecture: `/workspace/@alkdev/dbtype/docs/architecture/README.md`
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- dbtype elements: `/workspace/@alkdev/dbtype/docs/architecture/elements.md`
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- dbtype module: `/workspace/@alkdev/dbtype/docs/architecture/module.md`
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- dbtype repo adapter: `/workspace/@alkdev/dbtype/docs/architecture/repo-adapter.md`
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- drizzle-graphql (reference for CRUD generation pattern): `/workspace/drizzle-graphql/`
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- Operations registry: `/workspace/@alkdev/operations/docs/architecture/README.md`
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- JPATH Module (JSONPath as TypeBox Module): `/workspace/research/typebox_research/ujsx/jpath.gen.ts`
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- jsonpathly source: `/workspace/jsonpathly/`
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- Module evolution spec: [metagraph-module.md](./metagraph-module.md)
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- Schema evolution spec: [schema-evolution.md](./schema-evolution.md)
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- ADR-033: JSON path queries and hand-written CRUD for v1
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@@ -13,9 +13,9 @@ When a question is resolved, update its status to `resolved` and add a resolutio
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| Status | Count |
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|--------|-------|
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| Open | 7 |
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| Open | 8 |
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| Partially resolved | 1 |
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| Resolved | 8 |
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| Resolved | 10 |
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**Open questions requiring decisions:**
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- **OQ-03** (actors table design) — deferred to ACL design
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@@ -25,10 +25,15 @@ When a question is resolved, update its status to `resolved` and add a resolutio
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- **OQ-11** (auto-migrate vs explicit consumer action) — conditional on OQ-10
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- **OQ-12** (schema evolution vs event-sourced replay) — post-v1 concern
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- **OQ-13** (schema evolution events in event stream) — post-v1
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- **OQ-19** (storage-operations bridge package location) — depends on long-term CRUD strategy
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**Partially resolved:**
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- **OQ-01** (flowgraph Module export) — storage can start without it
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**Resolved (v1 direction decided, long-term question remains open):**
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- **OQ-17** (attribute query strategy) — JSON path for v1 (ADR-033), hybrid viable with dbtype later
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- **OQ-18** (auto-generated vs hand-written CRUD) — hand-write for v1 (ADR-033), auto-gen remains an option
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## How to Use This Document
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- Each question has an **ID** (e.g., OQ-01), **status**, **origin** (which doc(s)), and **priority**
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@@ -41,7 +46,9 @@ When a question is resolved, update its status to `resolved` and add a resolutio
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|-----|----------|
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| ADR-003 | OQ-01 (partial — storage can start without flowgraph Module) |
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| ADR-015 | OQ-05 (constraint semantics) |
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| ADR-018 | OQ-17 (v1 decision: dbtype integration deferred, JSON path for v1) |
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| ADR-020 | OQ-02 (no nodeTypeId for now, can add later) |
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| ADR-033 | OQ-17 (JSON path queries for v1), OQ-18 (hand-written CRUD for v1) |
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## Theme 1: Package Boundaries and Dependencies
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@@ -172,3 +179,29 @@ When a question is resolved, update its status to `resolved` and add a resolutio
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- **Status**: resolved
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- **Priority**: high
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- **Resolution**: The repository CRUD layer (host-specific typed queries, schema validation before writes) belongs in `@alkdev/storage`. The operations bridging layer (generating `OperationSpec`s from metagraph schemas) belongs in a consumer or adapter package. These are separate concerns — CRUD is a storage concern; call protocol integration is an application concern.
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## Theme 7: Repository Layer Strategy
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### OQ-17: How should the repository layer handle attribute queries — JSON path, native columns, or dbtype-generated?
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- **Origin**: [forward-look.md](forward-look.md)
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- **Status**: resolved (v1)
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- **Priority**: high
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- **Resolution**: For v1, attribute queries use JSON path extraction (`json_extract` on SQLite, `->>`/`#>>` on PG). Hand-written CRUD for static tables. dbtype integration and hybrid approach are post-v1. See ADR-033. The long-term question of whether to adopt the hybrid approach (static tables via dbtype, dynamic attributes remain JSON) remains open for future iterations.
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- **Cross-references**: ADR-033, ADR-018, [forward-look.md](forward-look.md)
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### OQ-18: Should the repository layer's CRUD operations be auto-generated (drizzle-graphql pattern) or hand-written?
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- **Origin**: [forward-look.md](forward-look.md)
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- **Status**: resolved (v1)
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- **Priority**: medium
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- **Resolution**: For v1, hand-write CRUD functions with explicit signatures. The three long-term options (hand-written, auto-generated from Drizzle, auto-generated from dbtype) remain open for future iterations. See ADR-033.
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- **Cross-references**: ADR-033, OQ-17
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### OQ-19: Where does the storage-operations bridge package live in the @alkdev workspace?
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- **Origin**: [forward-look.md](forward-look.md)
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- **Status**: open
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- **Priority**: medium
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- **Notes**: Four options: (1) hub-internal code, (2) dedicated `@alkdev/storage-operations` adapter, (3) `from-storage` adapter inside `@alkdev/operations`, (4) part of `@alkdev/dbtype`'s `from-dbtype` adapter. Option 1 is the most immediate (no new package). Option 2 is the cleanest separation. Option 3 creates an undesirable dependency direction (operations → storage). Option 4 is the long-term goal if dbtype is adopted. The choice depends on OQ-17/OQ-18 resolution: if hand-written CRUD, the bridge is trivial and can live in the hub; if auto-generated from dbtype, the bridge naturally lives with dbtype.
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- **Cross-references**: OQ-16, OQ-17, ADR-033
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@@ -90,6 +90,7 @@ All design decisions are documented as ADRs in [decisions/](decisions/).
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| [006](decisions/006-enum-pattern-as-const-objects.md) | `as const` objects, not TypeScript enums | Avoids JSR slow-types; consistent pattern across codebase |
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| [007](decisions/007-no-comments-in-code.md) | No comments in code | Documentation lives in architecture docs and TypeBox descriptions |
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| [008](decisions/008-common-columns-pattern.md) | Common columns pattern | `id`, `metadata`, `createdAt`, `updatedAt` on every table |
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| [033](decisions/033-json-path-queries-for-v1.md) | JSON path queries and hand-written CRUD for v1 | Attribute queries use JSON path; CRUD is hand-written; dbtype and auto-generation are post-v1 |
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## Dependencies
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@@ -152,6 +153,11 @@ and taskgraph) as part of its architecture.
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@alkdev/taskgraph ← task dependency graph schema, cost-benefit analysis
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(depends on: @alkdev/typebox)
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@alkdev/dbtype ← schema-first multi-dialect DB type system (Phase 0, not yet implemented)
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(depends on: @alkdev/typebox, @alkdev/ujsx)
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Renders UJSX element trees to Drizzle dialects; future: from-dbtype
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adapter generates CRUD OperationSpecs for @alkdev/operations
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@alkdev/storage ← YOU ARE HERE — typed graph persistence
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(depends on: @alkdev/typebox, @alkdev/drizzlebox)
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@@ -177,6 +183,8 @@ define the semantics itself.
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| Call graph schema (`CallNodeAttrs`, `CallEdgeAttrs`, `CallStatus`) | `@alkdev/flowgraph` | Storage persists these in-memory shapes to the database |
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| Task graph schema (`TaskGraphNodeAttributes`, `DependencyEdge`) | `@alkdev/taskgraph` | Storage persists task dependency shapes |
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| Event transport (`TypedEventTarget`, `EventEnvelope`) | `@alkdev/pubsub` | Storage is not involved in event routing; it stores the events' outcomes |
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| Database schema rendering (`<table>`, `<column>`, HostConfig) | `@alkdev/dbtype` | Storage's static metagraph tables could be dbtype-rendered in the future (OQ-17, OQ-18) |
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| Universal IR (`h()`, `createComponent`, `createRoot`) | `@alkdev/ujsx` | Storage's `Type.Module` format is structurally compatible with ujsx rendering; no runtime dependency |
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### Repository Layer Bridging Pattern (Consumer-Side Concern)
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@@ -190,7 +198,8 @@ because:
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1. `@alkdev/operations` already maps closely to GraphQL's
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queries/mutations/subscriptions (it was modeled after that pattern)
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2. `@alkdev/pubsub` provides the subscription transport (forked from
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graphql-yoga's pubsub with additions)
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graphql-yoga's pubsub with additions like in-memory, Redis, WebSocket,
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WebWorker event targets)
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3. `@alkdev/storage`'s metagraph tables are the data source, analogous to
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Drizzle tables for drizzle-graphql
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@@ -204,6 +213,32 @@ to avoid circular dependencies:
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||||
Consumer (hub / adapter) → imports both, generates operations from schemas
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||||
```
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||||
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||||
#### Ecosystem Context
|
||||
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||||
The question of *where* this bridge lives and *how* it's generated connects to
|
||||
the broader ecosystem:
|
||||
|
||||
- **drizzle-graphql** (`/workspace/drizzle-graphql`): Auto-generates GraphQL
|
||||
CRUD from Drizzle tables. The reference pattern for "database schema → API
|
||||
surface." Produces `{ schema, entities }` from `buildSchema(db)`. No TypeBox,
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||||
no metagraph.
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||||
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||||
- **@alkdev/dbtype**: Schema-first multi-dialect system using ujsx element trees.
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Defines `<table>`, `<column>` elements rendered to Drizzle via HostConfig. Has
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||||
a designed `from-dbtype` adapter that generates `OperationSpec[]` from element
|
||||
trees + Type.Module bundles. Phase 0 (architecture only, no implementation).
|
||||
|
||||
- **@alkdev/operations**: Runtime-agnostic typed operations registry with
|
||||
adapters (`FromOpenAPI`, `from_mcp`, `from_typemap`) that generate
|
||||
`OperationSpec[]` from external specifications. The `from-dbtype` adapter would
|
||||
be another adapter in the same pattern.
|
||||
|
||||
The strategic question (OQ-17, OQ-18) is whether storage's repository CRUD
|
||||
operations should be hand-written, auto-generated from Drizzle schemas, or
|
||||
auto-generated from dbtype element trees once dbtype is implemented. For v1,
|
||||
hand-written CRUD is the simplest path and doesn't block any long-term option.
|
||||
See [forward-look.md](forward-look.md) for the full analysis.
|
||||
|
||||
### Avoiding Circular Dependencies
|
||||
|
||||
Neither `@alkdev/storage` nor `@alkdev/operations` should depend on each
|
||||
@@ -229,6 +264,9 @@ questions affecting this package:
|
||||
- **OQ-14**: Should encryption be per-attribute, per-node, or per-graph? (resolved: per-attribute)
|
||||
- **OQ-15**: Should key management be in this package? (resolved: no, application provides key ring)
|
||||
- **OQ-16**: Should the repository layer live in storage or a consumer package? (resolved: CRUD in storage, operations bridging in consumer)
|
||||
- **OQ-17**: How should the repository layer handle attribute queries — JSON path, native columns, or dbtype-generated? (open, JSON path for v1)
|
||||
- **OQ-18**: Should CRUD operations be auto-generated or hand-written? (open, hand-write for v1)
|
||||
- **OQ-19**: Where does the storage-operations bridge package live? (open, depends on OQ-17/OQ-18)
|
||||
|
||||
## References
|
||||
|
||||
|
||||
Reference in New Issue
Block a user