second commit

create_promotion_table.sql

@@ -0,0 +1,97 @@
+-- ClickHouse DDL: promotion_kpi table
+-- Run ONCE before the first ETL run
+-- Connect: podman exec -it clickhouse-kelloggs clickhouse-client
+
+CREATE DATABASE IF NOT EXISTS kelloggs;
+
+CREATE TABLE IF NOT EXISTS kelloggs.promotion_kpi
+(
+    -- ── Core identifiers ────────────────────────────────────────────────────
+    mid                      Int64,
+    project_id               Int32,
+    store_id                 Int64,
+    employee_id              Int64,
+    supervisor_id            Int64,
+
+    -- ── Store dimension ─────────────────────────────────────────────────────
+    channel_id               Int32,
+    chain_id                 Int64,
+    storetype_id             Int32,
+
+    -- ── Visit ───────────────────────────────────────────────────────────────
+    visit_date               Date32,
+
+    -- ── Promotion definition ────────────────────────────────────────────────
+    promo_definition_id      Int32,
+    promo_definition_name    String,
+
+    -- ── Promotion item (Category / SubCategory / Brand / SubBrand) ──────────
+    -- LowCardinality = dictionary-encoding — ideal for columns with few
+    -- distinct values (only 4 possible values here)
+    promotion_details        LowCardinality(String),   -- 'Category' | 'SubCategory' | 'Brand' | 'SubBrand'
+    promotion_details_id     Int64,                    -- FK into the chosen master table
+    promo_value_name         String,                   -- e.g. 'Chocos', 'Breakfast Cereals'
+
+    -- ── Execution status ────────────────────────────────────────────────────
+    is_present               UInt8,     -- 1 = present (Y), 0 = absent (N)
+    reason                   String,    -- populated only when is_present = 0
+
+    -- ── Optional quiz ───────────────────────────────────────────────────────
+    question                 String,
+    answer                   String,
+
+    -- ── Photo proof ─────────────────────────────────────────────────────────
+    image1                   String,    -- full URL or empty string
+    image2                   String,
+
+    -- ── Audit ───────────────────────────────────────────────────────────────
+    update_date              DateTime DEFAULT now(),
+    update_by                String
+)
+ENGINE = MergeTree()
+-- Sort key: queries always filter on project_id + visit_date first
+-- Adding promo_definition_id speeds up "show me all Promo X results"
+ORDER BY (project_id, visit_date, mid, promo_definition_id)
+PARTITION BY toYYYYMM(visit_date)
+-- Bloom filter on store_id — speeds up store-level promotion reports
+INDEX idx_store  store_id       TYPE bloom_filter GRANULARITY 1
+-- Bloom filter on employee_id — speeds up per-rep promotion audits
+INDEX idx_emp    employee_id    TYPE bloom_filter GRANULARITY 1
+SETTINGS index_granularity = 8192;
+
+
+-- ── Verification queries ─────────────────────────────────────────────────────
+
+-- 1. How many promotions loaded today?
+-- SELECT count(), visit_date
+-- FROM kelloggs.promotion_kpi
+-- WHERE project_id = 40148
+-- GROUP BY visit_date ORDER BY visit_date DESC LIMIT 10;
+
+-- 2. Present vs absent breakdown
+-- SELECT
+--     visit_date,
+--     countIf(is_present = 1) AS present,
+--     countIf(is_present = 0) AS absent,
+--     count()                  AS total,
+--     round(present / total * 100, 1) AS present_pct
+-- FROM kelloggs.promotion_kpi
+-- WHERE project_id = 40148
+-- GROUP BY visit_date ORDER BY visit_date DESC LIMIT 7;
+
+-- 3. Top promotion definitions by absence
+-- SELECT promo_definition_name, count() AS absent_count
+-- FROM kelloggs.promotion_kpi
+-- WHERE project_id = 40148
+--   AND is_present = 0
+--   AND visit_date >= today() - 7
+-- GROUP BY promo_definition_name
+-- ORDER BY absent_count DESC LIMIT 10;
+
+-- 4. Absence reasons breakdown
+-- SELECT reason, count() AS cnt
+-- FROM kelloggs.promotion_kpi
+-- WHERE project_id = 40148
+--   AND is_present = 0
+--   AND visit_date = yesterday()
+-- GROUP BY reason ORDER BY cnt DESC;

main.py

@@ -428,7 +428,10 @@ def verify(expected: int, target_date: date) -> bool:
 
 # ── Main ──────────────────────────────────────────────────────────────────────
 def main() -> None:
-    target_date = date.today() - timedelta(days=1)
+    #target_date = date.today() - timedelta(days=1)
+    for i in range(1, 10):
+        target_date = date(2023, 3, 9) + timedelta(days=i)
+        print(target_date)
         log.info(f"=== Coverage KPI ETL | date={target_date} ===")
 
         # Build the SQLAlchemy engine once — shared across all steps