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82 changes: 82 additions & 0 deletions docs/superpowers/specs/2026-03-21-drizzle-join-refactor-design.md
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# Drizzle JOIN Refactor (Phase 1) — Design Spec

**Date:** 2026-03-21
**Status:** Approved

## Overview

Replace 4 raw SQL queries in `src/db/repositories/misc.ts` that branch on database type (PostgreSQL vs SQLite/MySQL) for column quoting with unified Drizzle ORM query builder calls. This eliminates ~80 lines of duplicated SQL and 4 `isPostgres()` conditional blocks.

## Scope

Only queries where the branching is purely about column name quoting. Excludes queries with genuine SQL syntax differences (DISTINCT ON, DELETE RETURNING, etc.) — those are future phases.

## Queries to Refactor

### 1. `getPacketLogs` (lines ~965-984)
- `packet_log` LEFT JOIN `nodes` twice (as from_nodes, to_nodes)
- Selects `longName` from each joined node
- Has WHERE clause, ORDER BY timestamp DESC + created_at DESC, LIMIT/OFFSET

### 2. `getPacketLogById` (lines ~999-1015)
- Same double LEFT JOIN as above
- Filtered by `pl.id = ${id}`

### 3. `getPacketCountsByNode` (lines ~1175-1195)
- `packet_log` LEFT JOIN `nodes` once
- GROUP BY + COUNT(*) + ORDER BY count DESC
- Postgres uses `COUNT(*)::int` cast (unnecessary with Drizzle)

### 4. `getDistinctRelayNodes` (lines ~1100-1104)
- Simple SELECT from nodes with bitwise WHERE
- Not a JOIN, just quoting difference on column names

## Design

### Approach
Use Drizzle's `alias()` function for double-joining the nodes table, and the standard `.select().from().leftJoin()` builder for all queries. Drizzle handles column quoting per-backend automatically.

### Key Drizzle patterns needed

**Table alias for double-join:**
```typescript
import { alias } from 'drizzle-orm/sqlite-core'; // or pg-core, mysql-core
// Use the active schema's nodes table
const fromNodes = alias(this.tables.nodes, 'from_nodes');
const toNodes = alias(this.tables.nodes, 'to_nodes');
```

Note: `alias()` is backend-specific in Drizzle. Since we have three backends, we need to use the correct `alias` import or find a backend-agnostic approach. The `sql` tagged template with `this.tables.nodes` column references may be simpler — Drizzle's `sql` helper auto-quotes column references from table schemas.

**Unified column references:**
```typescript
const { packetLog, nodes } = this.tables;
// Drizzle auto-quotes: nodes.longName → "longName" (PG) or longName (SQLite)
```

**COUNT without cast:**
```typescript
sql<number>`COUNT(*)` // Works across all backends
```

### What changes
- Remove 4 `if (this.isPostgres()) { ... } else { ... }` blocks
- Replace with single Drizzle query builder call per method
- No changes to method signatures or return types
- `normalizePacketLogRow()` continues to handle result normalization

### Files Modified

| File | Change |
|------|--------|
| `src/db/repositories/misc.ts` | Replace 4 branched queries with Drizzle query builder |

## Testing

- Existing tests cover these methods — they must continue to pass
- Run full test suite (3052+ tests)
- Build verification (TypeScript clean)

## Risk

Low — method signatures and return types don't change. The Drizzle query builder generates the same SQL that's currently hardcoded, just with correct quoting per backend. If any query doesn't translate cleanly to the Drizzle builder, we keep the raw SQL but use Drizzle column references for auto-quoting instead of full builder conversion.

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📖 Excellent design documentation

This design spec demonstrates thorough planning:

Clear scope definition - Phase 1 focuses only on column quoting differences
Risk assessment - Correctly identifies this as low-risk due to unchanged signatures
Detailed analysis - Lists all 4 queries with line numbers and complexity
Implementation strategy - Explains the col() helper approach with examples

The fallback strategy mentioned (keep raw SQL with Drizzle column references) shows good contingency planning, though the actual implementation successfully used the builder approach.

Comment on lines +78 to +82

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📖 Excellent design documentation

This design spec demonstrates thorough planning:

Clear scope definition - Phase 1 focuses only on column quoting differences
Risk assessment - Correctly identifies this as low-risk due to unchanged signatures
Detailed analysis - Lists all 4 queries with line numbers and complexity
Implementation strategy - Explains the col() helper approach with examples

The fallback strategy mentioned (keep raw SQL with Drizzle column references) shows good contingency planning, though the actual implementation successfully used the builder approach.

10 changes: 10 additions & 0 deletions src/db/repositories/base.ts
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Expand Up @@ -4,6 +4,7 @@
* Provides common functionality for all repository implementations.
* Supports SQLite, PostgreSQL, and MySQL through Drizzle ORM.
*/
import { sql } from 'drizzle-orm';
import { BetterSQLite3Database } from 'drizzle-orm/better-sqlite3';
import { NodePgDatabase } from 'drizzle-orm/node-postgres';
import { MySql2Database } from 'drizzle-orm/mysql2';
Expand Down Expand Up @@ -117,6 +118,15 @@ export abstract class BaseRepository {
return this.mysqlDb;
}

/**
* Quote a column name for use in raw SQL.
* PostgreSQL requires double-quoted "camelCase" identifiers; SQLite/MySQL do not.
* Returns a raw SQL fragment that can be interpolated into sql`` templates.
*/
protected col(name: string) {

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💡 Excellent helper method design!

This col() method elegantly solves the column quoting differences between databases:

  • PostgreSQL requires double quotes for camelCase identifiers
  • SQLite/MySQL work without quotes
  • Uses sql.raw() for safe interpolation without SQL injection risks

The method is simple, well-documented, and available to all repository classes. Perfect foundation for eliminating SQL duplication across the codebase.

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💡 Excellent helper method design!

This col() method elegantly solves the column quoting differences between databases:

  • PostgreSQL requires double quotes for camelCase identifiers
  • SQLite/MySQL work without quotes
  • Uses sql.raw() for safe interpolation without SQL injection risks

The method is simple, well-documented, and available to all repository classes. Perfect foundation for eliminating SQL duplication across the codebase.

return this.isPostgres() ? sql.raw(`"${name}"`) : sql.raw(name);
}

/**
* Execute a raw SQL query that returns rows (SELECT) across all dialects.
* SQLite's Drizzle driver doesn't have .execute() — uses .all() instead.
Expand Down
173 changes: 173 additions & 0 deletions src/db/repositories/misc.packetlog.test.ts
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/**
* Misc Repository - Packet Log Query Tests
*
* Tests the refactored Drizzle JOIN queries for packet log methods.
* Verifies that column references are correctly quoted across database backends.
*/
import { describe, it, expect, beforeEach, afterEach } from 'vitest';
import Database from 'better-sqlite3';
import { drizzle, BetterSQLite3Database } from 'drizzle-orm/better-sqlite3';
import { MiscRepository } from './misc.js';
import * as schema from '../schema/index.js';

describe('MiscRepository - Packet Log Queries', () => {
let db: Database.Database;
let drizzleDb: BetterSQLite3Database<typeof schema>;
let repo: MiscRepository;

beforeEach(() => {
db = new Database(':memory:');

// Create tables needed for JOIN queries
db.exec(`
CREATE TABLE IF NOT EXISTS nodes (
nodeNum INTEGER PRIMARY KEY,
nodeId TEXT,
longName TEXT,
shortName TEXT,
lastHeard INTEGER
)
`);

db.exec(`
CREATE TABLE IF NOT EXISTS packet_log (
id INTEGER PRIMARY KEY AUTOINCREMENT,
packet_id INTEGER,
timestamp INTEGER NOT NULL,
from_node INTEGER NOT NULL,
from_node_id TEXT,
to_node INTEGER,
to_node_id TEXT,
channel INTEGER,
portnum INTEGER NOT NULL,
portnum_name TEXT,
encrypted INTEGER DEFAULT 0,
snr REAL,
rssi INTEGER,
hop_limit INTEGER,
hop_start INTEGER,
relay_node INTEGER,
payload_size INTEGER,
want_ack INTEGER DEFAULT 0,
priority INTEGER,
payload_preview TEXT,
metadata TEXT,
direction TEXT DEFAULT 'rx',
created_at INTEGER,
transport_mechanism TEXT,
decrypted_by TEXT,
decrypted_channel_id INTEGER
)
`);

// Create settings table (needed by MiscRepository)
db.exec(`
CREATE TABLE IF NOT EXISTS settings (
key TEXT PRIMARY KEY,
value TEXT
)
`);

drizzleDb = drizzle(db, { schema });
repo = new MiscRepository(drizzleDb as any, 'sqlite');

// Insert test nodes
db.exec(`INSERT INTO nodes (nodeNum, nodeId, longName, shortName) VALUES (100, '!00000064', 'Node Alpha', 'ALPH')`);
db.exec(`INSERT INTO nodes (nodeNum, nodeId, longName, shortName) VALUES (200, '!000000c8', 'Node Beta', 'BETA')`);
db.exec(`INSERT INTO nodes (nodeNum, nodeId, longName, shortName) VALUES (300, '!0000012c', 'Node Gamma', 'GAMM')`);

// Insert test packets
const now = Math.floor(Date.now() / 1000);
const nowMs = Date.now();
db.exec(`INSERT INTO packet_log (packet_id, timestamp, from_node, from_node_id, to_node, to_node_id, portnum, portnum_name, direction, created_at, relay_node) VALUES (1, ${now}, 100, '!00000064', 200, '!000000c8', 1, 'TEXT_MESSAGE_APP', 'rx', ${nowMs}, 100)`);
db.exec(`INSERT INTO packet_log (packet_id, timestamp, from_node, from_node_id, to_node, to_node_id, portnum, portnum_name, direction, created_at, relay_node) VALUES (2, ${now}, 200, '!000000c8', 100, '!00000064', 1, 'TEXT_MESSAGE_APP', 'rx', ${nowMs + 1}, 200)`);
db.exec(`INSERT INTO packet_log (packet_id, timestamp, from_node, from_node_id, to_node, to_node_id, portnum, portnum_name, direction, created_at) VALUES (3, ${now - 60}, 100, '!00000064', 4294967295, '!ffffffff', 3, 'POSITION_APP', 'rx', ${nowMs - 60000})`);
});

afterEach(() => {
db.close();
});

describe('getPacketLogs', () => {

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📋 Comprehensive test coverage

These tests provide excellent validation for the refactored JOIN queries:

Core Functionality: Verifies node name joins work correctly
Edge Cases: Tests unknown node handling (NULL longName)
Pagination: Validates limit/offset behavior
Sort Order: Confirms timestamp DESC + created_at DESC ordering

The test setup properly creates both nodes and packet_log tables with realistic data, ensuring the JOIN operations are thoroughly validated.

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📋 Comprehensive test coverage

These tests provide excellent validation for the refactored JOIN queries:

Core Functionality: Verifies node name joins work correctly
Edge Cases: Tests unknown node handling (NULL longName)
Pagination: Validates limit/offset behavior
Sort Order: Confirms timestamp DESC + created_at DESC ordering

The test setup properly creates both nodes and packet_log tables with realistic data, ensuring the JOIN operations are thoroughly validated.

it('returns packets with joined node names', async () => {
const packets = await repo.getPacketLogs({});
expect(packets.length).toBe(3);

// Check that longName was joined from nodes table
const pkt1 = packets.find(p => p.packet_id === 1);
expect(pkt1).toBeDefined();
expect(pkt1!.from_node_longName).toBe('Node Alpha');
expect(pkt1!.to_node_longName).toBe('Node Beta');
});

it('returns null longName for unknown nodes', async () => {
// Insert packet from unknown node
const now = Math.floor(Date.now() / 1000);
db.exec(`INSERT INTO packet_log (packet_id, timestamp, from_node, from_node_id, to_node, portnum, direction, created_at) VALUES (99, ${now}, 999, '!000003e7', NULL, 1, 'rx', ${Date.now()})`);

const packets = await repo.getPacketLogs({});
const unknownPkt = packets.find(p => p.packet_id === 99);
expect(unknownPkt).toBeDefined();
expect(unknownPkt!.from_node_longName).toBeNull();
});

it('respects limit and offset', async () => {
const packets = await repo.getPacketLogs({ limit: 2, offset: 0 });
expect(packets.length).toBe(2);
});

it('orders by timestamp DESC then created_at DESC', async () => {
const packets = await repo.getPacketLogs({});
// First two packets have same timestamp, ordered by created_at DESC
expect(packets[0].packet_id).toBe(2); // higher created_at
expect(packets[1].packet_id).toBe(1);
expect(packets[2].packet_id).toBe(3); // older timestamp
});
});

describe('getPacketLogById', () => {
it('returns a single packet with joined node names', async () => {
const packets = await repo.getPacketLogs({});
const firstId = packets[0].id;

const pkt = await repo.getPacketLogById(firstId!);
expect(pkt).not.toBeNull();
expect(pkt!.from_node_longName).toBeDefined();
});

it('returns null for non-existent id', async () => {
const pkt = await repo.getPacketLogById(99999);
expect(pkt).toBeNull();
});
});

describe('getPacketCountsByNode', () => {
it('returns counts with joined node names', async () => {
const counts = await repo.getPacketCountsByNode({});
expect(counts.length).toBeGreaterThan(0);

const alpha = counts.find(c => c.from_node === 100);
expect(alpha).toBeDefined();
expect(alpha!.from_node_longName).toBe('Node Alpha');
expect(alpha!.count).toBe(2); // packets 1 and 3
});

it('respects limit', async () => {
const counts = await repo.getPacketCountsByNode({ limit: 1 });
expect(counts.length).toBe(1);
});
});

describe('getDistinctRelayNodes', () => {
it('returns relay nodes with matched node names', async () => {
const relays = await repo.getDistinctRelayNodes();
expect(relays.length).toBeGreaterThan(0);

// relay_node 100 & 0xFF = 100, matches node 100 (Node Alpha)
const relay100 = relays.find(r => r.relay_node === 100);
expect(relay100).toBeDefined();
expect(relay100!.matching_nodes.length).toBeGreaterThan(0);
expect(relay100!.matching_nodes[0].longName).toBe('Node Alpha');
});
});
});
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