VIOLET V1a: dolphin_violet DDL set + statement-wise applier (applied + verified)

14 tables consolidated from the LIVE post-ALTER dolphin_pink schema
(maras_tp + provenance folded into base CREATEs — a fresh DB never replays
ALTER chains) + violet_feed_divergence (scan-vs-venue divergence metric,
session_id + plane seqs + mono_ns). apply_violet_ddl.py posts ONE statement
per HTTP request (multi-statement posts fail — proven on pink 08), is
idempotent (all IF NOT EXISTS, double-apply tested live), and verifies the
expected table set. Applied to live CH: verify all 14 present.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

prod/clickhouse/violet/12_sc_bucket_gauge_shadow.sql

@@ -0,0 +1,49 @@
+-- dolphin_violet DDL — consolidated from the LIVE dolphin_pink schema
+-- (post-ALTER: includes maras_tp + provenance columns). Generated 2026-06-12.
+-- Apply via apply_violet_ddl.py (one statement per HTTP POST).
+
+CREATE TABLE IF NOT EXISTS dolphin_violet.sc_bucket_gauge_shadow
+(
+    `ts` DateTime64(6, 'UTC'),
+    `ts_day` Date MATERIALIZED toDate(ts),
+    `strategy` LowCardinality(String),
+    `trade_id` String,
+    `asset` LowCardinality(String),
+    `bucket_id` UInt8,
+    `scan_number` UInt32,
+    `bar_idx` UInt32,
+    `sc` Float32,
+    `current_mult` Float32,
+    `recommended_size_mult` Float32,
+    `recommended_tp_mult` Float32,
+    `recommended_hold_mult` Float32,
+    `recommended_sc_cut` Float32,
+    `current_label` LowCardinality(String),
+    `recommended_label` LowCardinality(String),
+    `confidence` Float32,
+    `model_score` Float32,
+    `current_score` Float32,
+    `vel_div` Float32,
+    `exf_signal` Float32,
+    `exf_funding` Float32,
+    `exf_dvol` Float32,
+    `exf_fear_greed` Float32,
+    `exf_taker` Float32,
+    `obf_spread_bps` Float32,
+    `obf_depth_1pct_usd` Float32,
+    `obf_depth_quality` Float32,
+    `obf_fill_probability` Float32,
+    `obf_imbalance` Float32,
+    `obf_agreement_pct` Float32,
+    `obf_regime_signal` Float32,
+    `recent_trade_count` UInt16,
+    `recent_win_rate` Float32,
+    `recent_avg_pnl_pct` Float32,
+    `recent_loss_streak` UInt16,
+    `context_json` String,
+    `outcome_json` String
+)
+ENGINE = MergeTree
+ORDER BY (ts_day, strategy, asset, ts)
+TTL ts_day + toIntervalDay(120)
+SETTINGS index_granularity = 8192;