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Delivers the full Phase 9 external API layer: - Versioned REST API (/api/v2/) with OpenAPI 3.1 spec; enum arrays for widget_type, event_type, annotation category drawn live from registry tables - OAuth 2.0 client credentials flow (/api/v2/token); hub:*:write scopes gated on active HubCapabilityManifest FK - API key management: SHA256-hashed tokens, key_prefix for display, one-time reveal on creation, revocation support - TypeScript and Python consumer SDKs generated from registry tables (/api/v2/sdk/ihf-client.ts, /api/v2/sdk/ihf-client.py) - Webhook delivery: HMAC-SHA256 signing, append-only webhook_deliveries, fire-and-forget dispatch via forkIO, 3-retry logic - Admin API dashboard with 24h stats (request count, error rate, last seen) - Rate limiting (per-minute) and daily quota enforcement via api_request_log - Schema migration: api_consumers, api_keys, webhook_subscriptions (CHECK constraint on 6 framework lifecycle topics), webhook_deliveries (append-only trigger), api_request_log - ARCHITECTURE-LAYERS.md scorecard: 3.34 → 3.41 (approaching Strong) - contracts/functional/interaction-reporting-v1.md extended with Phase 9 endpoint catalogue and 422 validation error format GAAF: no bare TEXT discriminators; webhook event_type uses CHECK constraint over 6 allowed framework lifecycle topic strings (not widget event types). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
48 lines
1.5 KiB
Haskell
48 lines
1.5 KiB
Haskell
module Web.Controller.ApiDashboard where
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import Web.Types
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import Web.View.ApiDashboard.Show
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import Generated.Types
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import IHP.Prelude
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import IHP.ControllerPrelude
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import Database.PostgreSQL.Simple (Only(..))
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instance Controller ApiDashboardController where
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beforeAction = ensureIsUser
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action ShowApiDashboardAction = autoRefresh do
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consumers <- query @ApiConsumer
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|> orderByAsc #name
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|> fetch
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stats <- mapM fetchStats consumers
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render ShowView { stats }
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-- | Aggregate per-consumer stats from api_request_log (last 24 hours).
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fetchStats :: (?modelContext :: ModelContext) => ApiConsumer -> IO ConsumerStats
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fetchStats consumer = do
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rows <- sqlQuery
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"SELECT COUNT(*), \
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\ COUNT(*) FILTER (WHERE status_code >= 400), \
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\ MAX(requested_at) \
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\FROM api_request_log \
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\WHERE api_consumer_id = ? \
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\ AND requested_at >= NOW() - INTERVAL '24 hours'"
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(Only consumer.id)
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case rows of
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[(total, errs, lastTs)] ->
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let errRate = if (total :: Int) == 0
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then 0.0
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else fromIntegral (errs :: Int) / fromIntegral total
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in pure ConsumerStats
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{ consumer
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, requests24h = total
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, errorRate = errRate
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, lastSeen = lastTs
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}
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_ -> pure ConsumerStats
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{ consumer
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, requests24h = 0
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, errorRate = 0.0
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, lastSeen = Nothing
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}
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