feat: add rain data audit and prediction scripts

scripts/run_p0_rain_workflow.sh

@@ -0,0 +1,43 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+SITE="${SITE:-home}"
+START="${START:-2026-02-01T00:00:00Z}"
+END="${END:-2026-03-03T23:55:00Z}"
+MODEL_VERSION="${MODEL_VERSION:-rain-logreg-v1}"
+MODEL_PATH="${MODEL_PATH:-models/rain_model.pkl}"
+REPORT_PATH="${REPORT_PATH:-models/rain_model_report.json}"
+AUDIT_PATH="${AUDIT_PATH:-models/rain_data_audit.json}"
+
+if [[ -z "${DATABASE_URL:-}" ]]; then
+  echo "DATABASE_URL is required"
+  echo "example: export DATABASE_URL='postgres://postgres:postgres@localhost:5432/micrometeo?sslmode=disable'"
+  exit 1
+fi
+
+echo "Running rain data audit..."
+python scripts/audit_rain_data.py \
+  --site "$SITE" \
+  --start "$START" \
+  --end "$END" \
+  --out "$AUDIT_PATH"
+
+echo "Training baseline rain model..."
+python scripts/train_rain_model.py \
+  --site "$SITE" \
+  --start "$START" \
+  --end "$END" \
+  --train-ratio 0.7 \
+  --val-ratio 0.15 \
+  --min-precision 0.70 \
+  --model-version "$MODEL_VERSION" \
+  --out "$MODEL_PATH" \
+  --report-out "$REPORT_PATH"
+
+echo "Writing current prediction..."
+python scripts/predict_rain_model.py \
+  --site "$SITE" \
+  --model-path "$MODEL_PATH" \
+  --model-name "rain_next_1h"
+
+echo "P0 rain workflow complete."