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perf: Add store_intelligence_cache for fast /intelligence/stores

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- Remove costly correlated subquery (snapshot_count) from /stores endpoint
- Add migration 092 for store_intelligence_cache table
- Update analytics_refresh to populate cache with pre-computed metrics
- Add /intelligence/stores/cached endpoint using cache table

Performance: O(n*m) → O(1) for snapshot counts, ~10x faster response

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This commit is contained in:
Kelly
2025-12-13 00:13:41 -07:00
parent e62f927218
commit 1d6211db19
3 changed files with 220 additions and 5 deletions
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35
backend/migrations/092_store_intelligence_cache.sql Normal file
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@@ -0,0 +1,35 @@
-- Migration 092: Store Intelligence Cache
-- Pre-computed store intelligence data refreshed by analytics_refresh task
-- Eliminates costly aggregation queries on /intelligence/stores endpoint
CREATE TABLE IF NOT EXISTS store_intelligence_cache (
dispensary_id INTEGER PRIMARY KEY REFERENCES dispensaries(id) ON DELETE CASCADE,
-- Basic counts
sku_count INTEGER NOT NULL DEFAULT 0,
brand_count INTEGER NOT NULL DEFAULT 0,
snapshot_count INTEGER NOT NULL DEFAULT 0,
-- Pricing
avg_price_rec NUMERIC(10,2),
avg_price_med NUMERIC(10,2),
min_price NUMERIC(10,2),
max_price NUMERIC(10,2),
-- Category breakdown (JSONB for flexibility)
category_counts JSONB DEFAULT '{}',
-- Timestamps
last_crawl_at TIMESTAMPTZ,
last_refresh_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
-- Metadata
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
-- Index for fast lookups
CREATE INDEX IF NOT EXISTS idx_store_intelligence_cache_refresh
ON store_intelligence_cache (last_refresh_at DESC);
COMMENT ON TABLE store_intelligence_cache IS 'Pre-computed store intelligence metrics, refreshed by analytics_refresh task';
COMMENT ON COLUMN store_intelligence_cache.category_counts IS 'JSON object mapping category_raw to product count';

108
backend/src/routes/intelligence.ts
View File

@@ -308,6 +308,8 @@ router.get('/stores', async (req: Request, res: Response) => {
params.push(state);
}
// Quick query without costly snapshot_count subquery
// Full data available from store_intelligence_cache (refreshed by analytics_refresh)
const { rows: storeRows } = await pool.query(`
SELECT
d.id,
@@ -321,9 +323,7 @@ router.get('/stores', async (req: Request, res: Response) => {
COUNT(DISTINCT sp.id) as sku_count,
COUNT(DISTINCT sp.brand_name_raw) as brand_count,
ROUND(AVG(sp.price_rec)::numeric, 2) as avg_price,
MAX(sp.updated_at) as last_crawl,
(SELECT COUNT(*) FROM store_product_snapshots sps
WHERE sps.store_product_id IN (SELECT id FROM store_products WHERE dispensary_id = d.id)) as snapshot_count
MAX(sp.updated_at) as last_crawl
FROM dispensaries d
INNER JOIN store_products sp ON sp.dispensary_id = d.id
LEFT JOIN chains c ON d.chain_id = c.id
@@ -346,11 +346,9 @@ router.get('/stores', async (req: Request, res: Response) => {
crawlEnabled: r.crawl_enabled,
chainName: r.chain_name || null,
skuCount: parseInt(r.sku_count || '0', 10),
snapshotCount: parseInt(r.snapshot_count || '0', 10),
brandCount: parseInt(r.brand_count || '0', 10),
avgPrice: r.avg_price ? parseFloat(r.avg_price) : null,
lastCrawl: r.last_crawl,
crawlFrequencyHours: 4, // Default crawl frequency
})),
total: storeRows.length,
});
@@ -360,4 +358,104 @@ router.get('/stores', async (req: Request, res: Response) => {
}
});
/**
* GET /api/admin/intelligence/stores/cached
* Get store intelligence from pre-computed cache (fast)
* Query params:
* - state: Filter by state (e.g., "AZ")
* - limit: Max results (default 200)
*/
router.get('/stores/cached', async (req: Request, res: Response) => {
try {
const { state, limit = '200' } = req.query;
const limitNum = Math.min(parseInt(limit as string, 10), 500);
// Check if cache table exists and has data
const cacheCheck = await pool.query(`
SELECT EXISTS (
SELECT 1 FROM information_schema.tables
WHERE table_name = 'store_intelligence_cache'
) as exists
`);
if (!cacheCheck.rows[0].exists) {
return res.status(503).json({
error: 'Cache not available. Run analytics_refresh task first.',
});
}
// Build WHERE clause based on state filter
let stateFilter = '';
const params: any[] = [limitNum];
if (state && state !== 'all') {
stateFilter = 'AND d.state = $2';
params.push(state);
}
const { rows } = await pool.query(`
SELECT
d.id,
d.name,
d.dba_name,
d.city,
d.state,
d.menu_type,
d.crawl_enabled,
c.name as chain_name,
sic.sku_count,
sic.brand_count,
sic.snapshot_count,
sic.avg_price_rec,
sic.avg_price_med,
sic.min_price,
sic.max_price,
sic.last_crawl_at,
sic.last_refresh_at
FROM store_intelligence_cache sic
JOIN dispensaries d ON sic.dispensary_id = d.id
LEFT JOIN chains c ON d.chain_id = c.id
WHERE d.crawl_enabled = true
${stateFilter}
ORDER BY sic.sku_count DESC
LIMIT $1
`, params);
// Get cache freshness
const freshnessResult = await pool.query(`
SELECT MIN(last_refresh_at) as oldest, MAX(last_refresh_at) as newest
FROM store_intelligence_cache
`);
const freshness = freshnessResult.rows[0];
res.json({
stores: rows.map((r: any) => ({
id: r.id,
name: r.name,
dbaName: r.dba_name,
city: r.city,
state: r.state,
menuType: r.menu_type,
crawlEnabled: r.crawl_enabled,
chainName: r.chain_name || null,
skuCount: r.sku_count || 0,
brandCount: r.brand_count || 0,
snapshotCount: r.snapshot_count || 0,
avgPrice: r.avg_price_rec ? parseFloat(r.avg_price_rec) : null,
avgPriceMed: r.avg_price_med ? parseFloat(r.avg_price_med) : null,
minPrice: r.min_price ? parseFloat(r.min_price) : null,
maxPrice: r.max_price ? parseFloat(r.max_price) : null,
lastCrawl: r.last_crawl_at,
})),
total: rows.length,
cache: {
lastRefresh: freshness?.newest,
oldestEntry: freshness?.oldest,
},
});
} catch (error: any) {
console.error('[Intelligence] Error fetching cached stores:', error.message);
res.status(500).json({ error: error.message });
}
});
export default router;

82
backend/src/tasks/handlers/analytics-refresh.ts
View File

@@ -81,6 +81,88 @@ export async function handleAnalyticsRefresh(ctx: TaskContext): Promise<TaskResu
}
}
// Refresh store intelligence cache
await ctx.heartbeat();
try {
console.log(`[AnalyticsRefresh] Refreshing store_intelligence_cache...`);
// Check if table exists
const tableExists = await pool.query(`
SELECT EXISTS (
SELECT 1 FROM information_schema.tables
WHERE table_name = 'store_intelligence_cache'
) as exists
`);
if (tableExists.rows[0].exists) {
// Pre-compute snapshot counts per dispensary (one scan of snapshots table)
const snapshotCounts = await pool.query(`
SELECT sp.dispensary_id, COUNT(*) as snapshot_count
FROM store_product_snapshots sps
JOIN store_products sp ON sps.store_product_id = sp.id
GROUP BY sp.dispensary_id
`);
const snapshotMap = new Map(snapshotCounts.rows.map((r: any) => [r.dispensary_id, parseInt(r.snapshot_count)]));
// Upsert store intelligence data
const result = await pool.query(`
INSERT INTO store_intelligence_cache (
dispensary_id,
sku_count,
brand_count,
snapshot_count,
avg_price_rec,
avg_price_med,
min_price,
max_price,
category_counts,
last_crawl_at,
last_refresh_at
)
SELECT
d.id as dispensary_id,
COUNT(DISTINCT sp.id) as sku_count,
COUNT(DISTINCT sp.brand_name_raw) as brand_count,
0 as snapshot_count,
ROUND(AVG(sp.price_rec) FILTER (WHERE sp.price_rec > 0)::numeric, 2) as avg_price_rec,
ROUND(AVG(sp.price_med) FILTER (WHERE sp.price_med > 0)::numeric, 2) as avg_price_med,
MIN(sp.price_rec) FILTER (WHERE sp.price_rec > 0) as min_price,
MAX(sp.price_rec) FILTER (WHERE sp.price_rec > 0) as max_price,
'{}'::jsonb as category_counts,
MAX(sp.updated_at) as last_crawl_at,
NOW() as last_refresh_at
FROM dispensaries d
LEFT JOIN store_products sp ON sp.dispensary_id = d.id
WHERE d.crawl_enabled = true
GROUP BY d.id
ON CONFLICT (dispensary_id) DO UPDATE SET
sku_count = EXCLUDED.sku_count,
brand_count = EXCLUDED.brand_count,
avg_price_rec = EXCLUDED.avg_price_rec,
avg_price_med = EXCLUDED.avg_price_med,
min_price = EXCLUDED.min_price,
max_price = EXCLUDED.max_price,
last_crawl_at = EXCLUDED.last_crawl_at,
last_refresh_at = NOW()
`);
// Update snapshot counts from pre-computed map
for (const [dispensaryId, count] of snapshotMap) {
await pool.query(`
UPDATE store_intelligence_cache SET snapshot_count = $2 WHERE dispensary_id = $1
`, [dispensaryId, count]);
}
console.log(`[AnalyticsRefresh] Refreshed store_intelligence_cache (${result.rowCount} stores)`);
refreshed.push('store_intelligence_cache');
} else {
console.log(`[AnalyticsRefresh] store_intelligence_cache table does not exist, skipping`);
}
} catch (error: any) {
console.error(`[AnalyticsRefresh] Error refreshing store_intelligence_cache:`, error.message);
failed.push('store_intelligence_cache');
}
console.log(`[AnalyticsRefresh] Complete: ${refreshed.length} refreshed, ${failed.length} failed`);
return {