{
 "engine": "misata_engine (Misata Studio)",
 "engine_commit": "24649abbce5fb439a79f388e827562d798f71488 with uncommitted engine changes, source digest e88cd0793a53941e",
 "seed": 20261030,
 "scale": 1.0,
 "seconds": 530.9,
 "passed": true,
 "lint": [
  "order_lines.unit_price: copy_from products.list_price@product_id reads a worked-out column, not yet there when this is drawn; make unit_price a formula: \"products.list_price@product_id + normal(0, ...)\""
 ],
 "planned": [
  "orders: 1,199,998 rows, the months claim orders_by_month states, straight between them and level beyond (the design made 1,200,000)"
 ],
 "notes": [
  "orders: 1,199,998 rows, the months claim orders_by_month states, straight between them and level beyond (the design made 1,200,000)"
 ],
 "findings": [],
 "certificate": {
  "engine_version": "0.1.0",
  "run_id": "d7fd6e427f34",
  "route": "blueprint",
  "blueprint_hash": "8bfaa303ab6c67acf1c09fe81fe35ca185a47c19dac3941b7124bc8ada9e467a",
  "seed": 20261030,
  "passed": true,
  "claims": [
   {
    "id": "orders_by_month",
    "kind": "count",
    "target": "orders.order_id",
    "text": null,
    "source": "prompt",
    "met": true,
    "stated": "42 monthly row counts",
    "actual": "42 of 42 exact",
    "rows": [
     {
      "period": "2023-01",
      "stated": 20015,
      "actual": 20015
     },
     {
      "period": "2023-02",
      "stated": 17835,
      "actual": 17835
     },
     {
      "period": "2023-03",
      "stated": 22483,
      "actual": 22483
     },
     {
      "period": "2023-04",
      "stated": 22191,
      "actual": 22191
     },
     {
      "period": "2023-05",
      "stated": 23620,
      "actual": 23620
     },
     {
      "period": "2023-06",
      "stated": 22844,
      "actual": 22844
     },
     {
      "period": "2023-07",
      "stated": 24071,
      "actual": 24071
     },
     {
      "period": "2023-08",
      "stated": 24785,
      "actual": 24785
     },
     {
      "period": "2023-09",
      "stated": 23026,
      "actual": 23026
     },
     {
      "period": "2023-10",
      "stated": 25505,
      "actual": 25505
     },
     {
      "period": "2023-11",
      "stated": 37738,
      "actual": 37738
     },
     {
      "period": "2023-12",
      "stated": 38357,
      "actual": 38357
     },
     {
      "period": "2024-01",
      "stated": 22417,
      "actual": 22417
     },
     {
      "period": "2024-02",
      "stated": 20689,
      "actual": 20689
     },
     {
      "period": "2024-03",
      "stated": 25181,
      "actual": 25181
     },
     {
      "period": "2024-04",
      "stated": 24853,
      "actual": 24853
     },
     {
      "period": "2024-05",
      "stated": 26455,
      "actual": 26455
     },
     {
      "period": "2024-06",
      "stated": 25586,
      "actual": 25586
     },
     {
      "period": "2024-07",
      "stated": 26959,
      "actual": 26959
     },
     {
      "period": "2024-08",
      "stated": 27759,
      "actual": 27759
     },
     {
      "period": "2024-09",
      "stated": 25789,
      "actual": 25789
     },
     {
      "period": "2024-10",
      "stated": 28566,
      "actual": 28566
     },
     {
      "period": "2024-11",
      "stated": 42266,
      "actual": 42266
     },
     {
      "period": "2024-12",
      "stated": 42959,
      "actual": 42959
     },
     {
      "period": "2025-01",
      "stated": 25107,
      "actual": 25107
     },
     {
      "period": "2025-02",
      "stated": 22372,
      "actual": 22372
     },
     {
      "period": "2025-03",
      "stated": 28203,
      "actual": 28203
     },
     {
      "period": "2025-04",
      "stated": 26999,
      "actual": 26999
     },
     {
      "period": "2025-05",
      "stated": 28739,
      "actual": 28739
     },
     {
      "period": "2025-06",
      "stated": 27795,
      "actual": 27795
     },
     {
      "period": "2025-07",
      "stated": 30194,
      "actual": 30194
     },
     {
      "period": "2025-08",
      "stated": 31090,
      "actual": 31090
     },
     {
      "period": "2025-09",
      "stated": 28884,
      "actual": 28884
     },
     {
      "period": "2025-10",
      "stated": 31994,
      "actual": 31994
     },
     {
      "period": "2025-11",
      "stated": 47338,
      "actual": 47338
     },
     {
      "period": "2025-12",
      "stated": 48114,
      "actual": 48114
     }
    ]
   },
   {
    "id": "apparel_return_rate",
    "kind": "cohort",
    "target": "returns.returned_qty",
    "text": null,
    "source": "prompt",
    "met": true,
    "stated": "returned qty over 39 monthly rates of order lines quantity, by the month of order date",
    "actual": "39 of 39 months exact to the unit (2023-01 to 2026-03)",
    "rows": [
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      "period": "2023-04",
      "stated": 0.18,
      "actual": 0.180026,
      "units": 1954,
      "of": 10854
     },
     {
      "period": "2023-05",
      "stated": 0.18,
      "actual": 0.180015,
      "units": 2106,
      "of": 11699
     },
     {
      "period": "2023-06",
      "stated": 0.18,
      "actual": 0.179982,
      "units": 2005,
      "of": 11140
     },
     {
      "period": "2023-07",
      "stated": 0.18,
      "actual": 0.180002,
      "units": 2018,
      "of": 11211
     },
     {
      "period": "2023-08",
      "stated": 0.18,
      "actual": 0.179992,
      "units": 2303,
      "of": 12795
     },
     {
      "period": "2023-09",
      "stated": 0.18,
      "actual": 0.180038,
      "units": 2078,
      "of": 11542
     },
     {
      "period": "2023-10",
      "stated": 0.18,
      "actual": 0.180039,
      "units": 2300,
      "of": 12775
     },
     {
      "period": "2023-11",
      "stated": 0.18,
      "actual": 0.180026,
      "units": 3160,
      "of": 17553
     },
     {
      "period": "2023-12",
      "stated": 0.18,
      "actual": 0.179975,
      "units": 3248,
      "of": 18047
     },
     {
      "period": "2024-01",
      "stated": 0.18,
      "actual": 0.179973,
      "units": 1711,
      "of": 9507
     },
     {
      "period": "2024-02",
      "stated": 0.18,
      "actual": 0.179949,
      "units": 1707,
      "of": 9486
     },
     {
      "period": "2024-03",
      "stated": 0.18,
      "actual": 0.180003,
      "units": 2389,
      "of": 13272
     },
     {
      "period": "2024-04",
      "stated": 0.18,
      "actual": 0.18,
      "units": 2313,
      "of": 12850
     },
     {
      "period": "2024-05",
      "stated": 0.18,
      "actual": 0.179969,
      "units": 2336,
      "of": 12980
     },
     {
      "period": "2024-06",
      "stated": 0.18,
      "actual": 0.180029,
      "units": 2232,
      "of": 12398
     },
     {
      "period": "2024-07",
      "stated": 0.18,
      "actual": 0.180011,
      "units": 2354,
      "of": 13077
     },
     {
      "period": "2024-08",
      "stated": 0.18,
      "actual": 0.179992,
      "units": 2598,
      "of": 14434
     },
     {
      "period": "2024-09",
      "stated": 0.18,
      "actual": 0.180038,
      "units": 2354,
      "of": 13075
     },
     {
      "period": "2024-10",
      "stated": 0.18,
      "actual": 0.180011,
      "units": 2671,
      "of": 14838
     },
     {
      "period": "2024-11",
      "stated": 0.18,
      "actual": 0.180007,
      "units": 3551,
      "of": 19727
     },
     {
      "period": "2024-12",
      "stated": 0.18,
      "actual": 0.179986,
      "units": 3635,
      "of": 20196
     },
     {
      "period": "2025-01",
      "stated": 0.18,
      "actual": 0.180033,
      "units": 1843,
      "of": 10237
     },
     {
      "period": "2025-02",
      "stated": 0.18,
      "actual": 0.179994,
      "units": 1920,
      "of": 10667
     },
     {
      "period": "2025-03",
      "stated": 0.18,
      "actual": 0.179999,
      "units": 2635,
      "of": 14639
     },
     {
      "period": "2025-04",
      "stated": 0.18,
      "actual": 0.180029,
      "units": 2524,
      "of": 14020
     },
     {
      "period": "2025-05",
      "stated": 0.18,
      "actual": 0.180016,
      "units": 2488,
      "of": 13821
     },
     {
      "period": "2025-06",
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      "actual": 0.180021,
      "units": 2404,
      "of": 13354
     },
     {
      "period": "2025-07",
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      "actual": 0.179989,
      "units": 2540,
      "of": 14112
     },
     {
      "period": "2025-08",
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      "actual": 0.180005,
      "units": 2825,
      "of": 15694
     },
     {
      "period": "2025-09",
      "stated": 0.18,
      "actual": 0.180004,
      "units": 2688,
      "of": 14933
     },
     {
      "period": "2025-10",
      "stated": 0.18,
      "actual": 0.180016,
      "units": 2960,
      "of": 16443
     },
     {
      "period": "2025-11",
      "stated": 0.18,
      "actual": 0.180006,
      "units": 3792,
      "of": 21066
     },
     {
      "period": "2025-12",
      "stated": 0.18,
      "actual": 0.180004,
      "units": 4078,
      "of": 22655
     },
     {
      "period": "2026-01",
      "stated": 0.18,
      "actual": 0.180034,
      "units": 2119,
      "of": 11770
     },
     {
      "period": "2026-02",
      "stated": 0.18,
      "actual": 0.180037,
      "units": 2114,
      "of": 11742
     },
     {
      "period": "2026-03",
      "stated": 0.18,
      "actual": 0.179978,
      "units": 2970,
      "of": 16502
     }
    ]
   }
  ],
  "invariants": [],
  "rules": {
   "declared": 4,
   "held": 2,
   "broken": [],
   "unmeasured": [
    {
     "kind": "fk_distinct",
     "table": "products",
     "column": "_variant_id",
     "rule": "products rows sharing _brand_id point to different variants",
     "rows": 1500,
     "broken": 0,
     "holds": false,
     "measured": false,
     "why": "could not be read (KeyError)"
    },
    {
     "kind": "only_when",
     "table": "orders",
     "column": "customer_id",
     "rule": "orders.customer_id is filled only when _guest == 0",
     "rows": 1199998,
     "broken": 0,
     "holds": false,
     "measured": false,
     "why": "could not be read (ExpressionError)"
    }
   ]
  },
  "findings": {
   "critical": 0,
   "major": 0,
   "minor": 0,
   "load": 0
  },
  "open_findings": [],
  "audit": {
   "score": 100.0,
   "checked": false,
   "reviewed": false,
   "found": 0,
   "fixed": 0
  },
  "tables": {
   "stores": {
    "rows": 41,
    "digest": "e8138d4a243847be"
   },
   "products": {
    "rows": 1500,
    "digest": "2c6a75ff172b5f50"
   },
   "customers": {
    "rows": 150000,
    "digest": "34640675ab6f9a99"
   },
   "orders": {
    "rows": 1199998,
    "digest": "7cd2c0f6f5a5a7a0"
   },
   "order_lines": {
    "rows": 3023975,
    "digest": "37c5580ee2f2abc6"
   },
   "returns": {
    "rows": 221756,
    "digest": "7e9ca922085a8b4f"
   }
  },
  "answer_key": [
   {
    "id": "orders_by_month",
    "title": "Order_id by month",
    "kind": "count",
    "unit": "count",
    "grain": "month",
    "sql": "WITH months AS (SELECT m FROM generate_series(TIMESTAMP '2023-01-01', TIMESTAMP '2026-06-01', INTERVAL 1 MONTH) AS g(m)), x AS (SELECT date_trunc('month', \"order_date\") AS m, count(*) AS v FROM \"orders\" WHERE \"order_date\" IS NOT NULL GROUP BY 1) SELECT strftime(months.m, '%Y-%m') AS month, coalesce(v, 0) AS n FROM months LEFT JOIN x USING (m) ORDER BY month",
    "column": "n",
    "values": {
     "2023-01": 20015.0,
     "2023-02": 17835.0,
     "2023-03": 22483.0,
     "2023-04": 22191.0,
     "2023-05": 23620.0,
     "2023-06": 22844.0,
     "2023-07": 24071.0,
     "2023-08": 24785.0,
     "2023-09": 23026.0,
     "2023-10": 25505.0,
     "2023-11": 37738.0,
     "2023-12": 38357.0,
     "2024-01": 22417.0,
     "2024-02": 20689.0,
     "2024-03": 25181.0,
     "2024-04": 24853.0,
     "2024-05": 26455.0,
     "2024-06": 25586.0,
     "2024-07": 26959.0,
     "2024-08": 27759.0,
     "2024-09": 25789.0,
     "2024-10": 28566.0,
     "2024-11": 42266.0,
     "2024-12": 42959.0,
     "2025-01": 25107.0,
     "2025-02": 22372.0,
     "2025-03": 28203.0,
     "2025-04": 26999.0,
     "2025-05": 28739.0,
     "2025-06": 27795.0,
     "2025-07": 30194.0,
     "2025-08": 31090.0,
     "2025-09": 28884.0,
     "2025-10": 31994.0,
     "2025-11": 47338.0,
     "2025-12": 48114.0,
     "2026-01": 28120.0,
     "2026-02": 25057.0,
     "2026-03": 31587.0,
     "2026-04": 31176.0,
     "2026-05": 33185.0,
     "2026-06": 32095.0
    },
    "stated": {
     "2023-01": 20015,
     "2023-02": 17835,
     "2023-03": 22483,
     "2023-04": 22191,
     "2023-05": 23620,
     "2023-06": 22844,
     "2023-07": 24071,
     "2023-08": 24785,
     "2023-09": 23026,
     "2023-10": 25505,
     "2023-11": 37738,
     "2023-12": 38357,
     "2024-01": 22417,
     "2024-02": 20689,
     "2024-03": 25181,
     "2024-04": 24853,
     "2024-05": 26455,
     "2024-06": 25586,
     "2024-07": 26959,
     "2024-08": 27759,
     "2024-09": 25789,
     "2024-10": 28566,
     "2024-11": 42266,
     "2024-12": 42959,
     "2025-01": 25107,
     "2025-02": 22372,
     "2025-03": 28203,
     "2025-04": 26999,
     "2025-05": 28739,
     "2025-06": 27795,
     "2025-07": 30194,
     "2025-08": 31090,
     "2025-09": 28884,
     "2025-10": 31994,
     "2025-11": 47338,
     "2025-12": 48114,
     "2026-01": 28120,
     "2026-02": 25057,
     "2026-03": 31587,
     "2026-04": 31176,
     "2026-05": 33185,
     "2026-06": 32095
    },
    "source": "prompt",
    "text": null,
    "adds_up": true
   },
   {
    "id": "apparel_return_rate",
    "title": "Returned_qty over order lines quantity, by month",
    "kind": "cohort",
    "unit": "fraction",
    "grain": "month",
    "sql": "SELECT strftime(\"order_lines\".\"order_date\", '%Y-%m') AS month, round(coalesce(sum(\"returns\".\"returned_qty\"), 0) * 1.0 / sum(\"order_lines\".\"quantity\"), 6) AS rate, coalesce(sum(\"returns\".\"returned_qty\"), 0) AS units, sum(\"order_lines\".\"quantity\") AS of_units FROM \"order_lines\" JOIN \"products\" ON \"products\".\"product_id\" = \"order_lines\".\"product_id\" LEFT JOIN \"returns\" ON \"returns\".\"order_line_id\" = \"order_lines\".\"order_line_id\" WHERE strftime(\"order_lines\".\"order_date\", '%Y-%m') IN ('2023-01', '2023-02', '2023-03', '2023-04', '2023-05', '2023-06', '2023-07', '2023-08', '2023-09', '2023-10', '2023-11', '2023-12', '2024-01', '2024-02', '2024-03', '2024-04', '2024-05', '2024-06', '2024-07', '2024-08', '2024-09', '2024-10', '2024-11', '2024-12', '2025-01', '2025-02', '2025-03', '2025-04', '2025-05', '2025-06', '2025-07', '2025-08', '2025-09', '2025-10', '2025-11', '2025-12', '2026-01', '2026-02', '2026-03') AND \"products\".\"category\" IN ('Apparel') GROUP BY 1 ORDER BY 1",
    "column": "rate",
    "values": {
     "2023-01": 0.180049,
     "2023-02": 0.179979,
     "2023-03": 0.18,
     "2023-04": 0.180026,
     "2023-05": 0.180015,
     "2023-06": 0.179982,
     "2023-07": 0.180002,
     "2023-08": 0.179992,
     "2023-09": 0.180038,
     "2023-10": 0.180039,
     "2023-11": 0.180026,
     "2023-12": 0.179975,
     "2024-01": 0.179973,
     "2024-02": 0.179949,
     "2024-03": 0.180003,
     "2024-04": 0.18,
     "2024-05": 0.179969,
     "2024-06": 0.180029,
     "2024-07": 0.180011,
     "2024-08": 0.179992,
     "2024-09": 0.180038,
     "2024-10": 0.180011,
     "2024-11": 0.180007,
     "2024-12": 0.179986,
     "2025-01": 0.180033,
     "2025-02": 0.179994,
     "2025-03": 0.179999,
     "2025-04": 0.180029,
     "2025-05": 0.180016,
     "2025-06": 0.180021,
     "2025-07": 0.179989,
     "2025-08": 0.180005,
     "2025-09": 0.180004,
     "2025-10": 0.180016,
     "2025-11": 0.180006,
     "2025-12": 0.180004,
     "2026-01": 0.180034,
     "2026-02": 0.180037,
     "2026-03": 0.179978
    },
    "stated": {
     "2023-01": 0.180049,
     "2023-02": 0.179979,
     "2023-03": 0.18,
     "2023-04": 0.180026,
     "2023-05": 0.180015,
     "2023-06": 0.179982,
     "2023-07": 0.180002,
     "2023-08": 0.179992,
     "2023-09": 0.180038,
     "2023-10": 0.180039,
     "2023-11": 0.180026,
     "2023-12": 0.179975,
     "2024-01": 0.179973,
     "2024-02": 0.179949,
     "2024-03": 0.180003,
     "2024-04": 0.18,
     "2024-05": 0.179969,
     "2024-06": 0.180029,
     "2024-07": 0.180011,
     "2024-08": 0.179992,
     "2024-09": 0.180038,
     "2024-10": 0.180011,
     "2024-11": 0.180007,
     "2024-12": 0.179986,
     "2025-01": 0.180033,
     "2025-02": 0.179994,
     "2025-03": 0.179999,
     "2025-04": 0.180029,
     "2025-05": 0.180016,
     "2025-06": 0.180021,
     "2025-07": 0.179989,
     "2025-08": 0.180005,
     "2025-09": 0.180004,
     "2025-10": 0.180016,
     "2025-11": 0.180006,
     "2025-12": 0.180004,
     "2026-01": 0.180034,
     "2026-02": 0.180037,
     "2026-03": 0.179978
    },
    "source": "prompt",
    "text": null,
    "adds_up": false,
    "parts": {
     "units": {
      "2023-01": 1480.0,
      "2023-02": 1530.0,
      "2023-03": 2052.0,
      "2023-04": 1954.0,
      "2023-05": 2106.0,
      "2023-06": 2005.0,
      "2023-07": 2018.0,
      "2023-08": 2303.0,
      "2023-09": 2078.0,
      "2023-10": 2300.0,
      "2023-11": 3160.0,
      "2023-12": 3248.0,
      "2024-01": 1711.0,
      "2024-02": 1707.0,
      "2024-03": 2389.0,
      "2024-04": 2313.0,
      "2024-05": 2336.0,
      "2024-06": 2232.0,
      "2024-07": 2354.0,
      "2024-08": 2598.0,
      "2024-09": 2354.0,
      "2024-10": 2671.0,
      "2024-11": 3551.0,
      "2024-12": 3635.0,
      "2025-01": 1843.0,
      "2025-02": 1920.0,
      "2025-03": 2635.0,
      "2025-04": 2524.0,
      "2025-05": 2488.0,
      "2025-06": 2404.0,
      "2025-07": 2540.0,
      "2025-08": 2825.0,
      "2025-09": 2688.0,
      "2025-10": 2960.0,
      "2025-11": 3792.0,
      "2025-12": 4078.0,
      "2026-01": 2119.0,
      "2026-02": 2114.0,
      "2026-03": 2970.0
     },
     "of_units": {
      "2023-01": 8220.0,
      "2023-02": 8501.0,
      "2023-03": 11400.0,
      "2023-04": 10854.0,
      "2023-05": 11699.0,
      "2023-06": 11140.0,
      "2023-07": 11211.0,
      "2023-08": 12795.0,
      "2023-09": 11542.0,
      "2023-10": 12775.0,
      "2023-11": 17553.0,
      "2023-12": 18047.0,
      "2024-01": 9507.0,
      "2024-02": 9486.0,
      "2024-03": 13272.0,
      "2024-04": 12850.0,
      "2024-05": 12980.0,
      "2024-06": 12398.0,
      "2024-07": 13077.0,
      "2024-08": 14434.0,
      "2024-09": 13075.0,
      "2024-10": 14838.0,
      "2024-11": 19727.0,
      "2024-12": 20196.0,
      "2025-01": 10237.0,
      "2025-02": 10667.0,
      "2025-03": 14639.0,
      "2025-04": 14020.0,
      "2025-05": 13821.0,
      "2025-06": 13354.0,
      "2025-07": 14112.0,
      "2025-08": 15694.0,
      "2025-09": 14933.0,
      "2025-10": 16443.0,
      "2025-11": 21066.0,
      "2025-12": 22655.0,
      "2026-01": 11770.0,
      "2026-02": 11742.0,
      "2026-03": 16502.0
     }
    },
    "ratio_of": [
     "units",
     "of_units"
    ]
   },
   {
    "id": "rows:cities",
    "title": "Rows in cities",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"cities\"",
    "column": "n",
    "values": {
     "all": 60.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:subcategories",
    "title": "Rows in subcategories",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"subcategories\"",
    "column": "n",
    "values": {
     "all": 30.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:brands",
    "title": "Rows in brands",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"brands\"",
    "column": "n",
    "values": {
     "all": 32.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:variants",
    "title": "Rows in variants",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"variants\"",
    "column": "n",
    "values": {
     "all": 1085.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:stores",
    "title": "Rows in stores",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"stores\"",
    "column": "n",
    "values": {
     "all": 41.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:products",
    "title": "Rows in products",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"products\"",
    "column": "n",
    "values": {
     "all": 1500.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:customers",
    "title": "Rows in customers",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"customers\"",
    "column": "n",
    "values": {
     "all": 150000.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:orders",
    "title": "Rows in orders",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"orders\"",
    "column": "n",
    "values": {
     "all": 1199998.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:order_lines",
    "title": "Rows in order lines",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"order_lines\"",
    "column": "n",
    "values": {
     "all": 3023975.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   },
   {
    "id": "rows:returns",
    "title": "Rows in returns",
    "kind": "count",
    "unit": "count",
    "grain": "whole",
    "sql": "SELECT count(*) AS n FROM \"returns\"",
    "column": "n",
    "values": {
     "all": 221756.0
    },
    "stated": {},
    "source": "data",
    "text": null,
    "adds_up": false
   }
  ],
  "sql_check": [
   {
    "id": "orders_by_month",
    "kind": "count",
    "holds": true,
    "compared": 42,
    "wrong": []
   },
   {
    "id": "apparel_return_rate",
    "kind": "cohort",
    "holds": null,
    "note": "no SQL reading: a shape, or a rate per period, held by the certificate's own check"
   }
  ],
  "patterns": [],
  "realism": {
   "facts": [
    {
     "fact": "uneven_activity",
     "where": "orders per customer",
     "value": 2.0071,
     "typical": true,
     "note": "the busiest 10% of customers hold 59% of orders"
    },
    {
     "fact": "uneven_activity",
     "where": "orders per store",
     "value": 1.9284,
     "typical": true,
     "note": "the busiest 10% of stores hold 40% of orders"
    }
   ],
   "typical": 2,
   "measured": 2
  },
  "scorecard": {
   "score": 100.0,
   "families": {
    "dependency": {
     "score": 100.0,
     "pass": 3,
     "weak": 0,
     "fail": 0
    },
    "popularity": {
     "score": 100.0,
     "pass": 2,
     "weak": 0,
     "fail": 0
    },
    "time_order": {
     "score": 100.0,
     "pass": 3,
     "weak": 0,
     "fail": 0
    },
    "concentration": {
     "score": 100.0,
     "pass": 4,
     "weak": 0,
     "fail": 0
    },
    "prices": {
     "score": 100.0,
     "pass": 1,
     "weak": 0,
     "fail": 0
    },
    "artifacts": {
     "score": 100.0,
     "pass": 0,
     "weak": 0,
     "fail": 0
    }
   },
   "measured_on": "the whole run",
   "checks": [
    {
     "family": "dependency",
     "check": "shuffled_copy_auc",
     "where": "products",
     "status": "pass",
     "value": 0.945,
     "bar": "pass ≥ 0.75, weak ≥ 0.6 (0.5 = independent)",
     "text": "a classifier tells products from a column-shuffled copy with AUC 0.945 over 3 features"
    },
    {
     "family": "dependency",
     "check": "shuffled_copy_auc",
     "where": "customers",
     "status": "pass",
     "value": 0.98,
     "bar": "pass ≥ 0.75, weak ≥ 0.6 (0.5 = independent)",
     "text": "a classifier tells customers from a column-shuffled copy with AUC 0.98 over 6 features"
    },
    {
     "family": "dependency",
     "check": "shuffled_copy_auc",
     "where": "order_lines",
     "status": "pass",
     "value": 0.941,
     "bar": "pass ≥ 0.75, weak ≥ 0.6 (0.5 = independent)",
     "text": "a classifier tells order_lines from a column-shuffled copy with AUC 0.941 over 6 features"
    },
    {
     "family": "dependency",
     "check": "shuffled_copy_auc",
     "where": "returns",
     "status": "note",
     "value": 0.505,
     "bar": "judged on 4 or more columns",
     "text": "a classifier tells returns from a column-shuffled copy with AUC 0.505 over only 3 columns (4 features); too few columns to judge"
    },
    {
     "family": "popularity",
     "check": "top_to_median",
     "where": "orders.store_id → stores",
     "status": "pass",
     "value": 18.8099,
     "bar": "pass ≥ 3×, weak ≥ 1.6×",
     "text": "the most chosen of stores appears 18.8× as often as the median one",
     "at": {
      "table": "orders",
      "column": "store_id",
      "parent": "stores"
     }
    },
    {
     "family": "popularity",
     "check": "top_to_median",
     "where": "order_lines.product_id → products",
     "status": "pass",
     "value": 60.8686,
     "bar": "pass ≥ 3×, weak ≥ 1.6×",
     "text": "the most chosen of products appears 60.9× as often as the median one",
     "at": {
      "table": "order_lines",
      "column": "product_id",
      "parent": "products"
     }
    },
    {
     "family": "time_order",
     "check": "child_before_parent",
     "where": "orders.order_date vs customers.signup_date",
     "status": "pass",
     "value": 0.0,
     "bar": "≤ 0.2% (weak ≤ 1%)",
     "text": "0.00% of orders are dated before their customer's signup date",
     "at": {
      "table": "orders",
      "column": "order_date",
      "fk": "customer_id",
      "parent": "customers",
      "parent_column": "signup_date"
     }
    },
    {
     "family": "time_order",
     "check": "child_before_parent",
     "where": "order_lines.order_date vs orders.order_date",
     "status": "pass",
     "value": 0.0,
     "bar": "≤ 0.2% (weak ≤ 1%)",
     "text": "0.00% of order_lines are dated before their order's order date",
     "at": {
      "table": "order_lines",
      "column": "order_date",
      "fk": "order_id",
      "parent": "orders",
      "parent_column": "order_date"
     }
    },
    {
     "family": "time_order",
     "check": "child_before_parent",
     "where": "returns.return_date vs order_lines.order_date",
     "status": "pass",
     "value": 0.0,
     "bar": "≤ 0.2% (weak ≤ 1%)",
     "text": "0.00% of returns are dated before their order_line's order date",
     "at": {
      "table": "returns",
      "column": "return_date",
      "fk": "order_line_id",
      "parent": "order_lines",
      "parent_column": "order_date"
     }
    },
    {
     "family": "concentration",
     "check": "uneven_activity",
     "where": "orders per customer",
     "status": "pass",
     "value": 0.7719,
     "bar": "top 20% share pass ≥ 45%, weak ≥ 35% (a random deal gives 30%)",
     "text": "the busiest 20% of customers hold 77% of orders (top 1%: 13%; CV 2.01); dealt at random they would hold 30%",
     "source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product",
     "at": {
      "table": "orders",
      "column": "customer_id",
      "parent": "customers"
     },
     "pass_at": 0.45
    },
    {
     "family": "concentration",
     "check": "uneven_value",
     "where": "orders value per customer",
     "status": "pass",
     "value": 0.8228,
     "bar": "top 20% share pass ≥ 67%, weak ≥ 55% (a random deal gives 48%)",
     "text": "the top 20% of customers hold 82% of the money in orders (top 1%: 15%); dealt at random they would hold 48%",
     "source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product"
    },
    {
     "family": "concentration",
     "check": "uneven_activity",
     "where": "order_lines per product",
     "status": "pass",
     "value": 0.592,
     "bar": "top 20% share pass ≥ 45%, weak ≥ 30% (a random deal gives 21%)",
     "text": "the busiest 20% of products hold 59% of order_lines (top 1%: 12%; CV 1.62); dealt at random they would hold 21%",
     "source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product",
     "at": {
      "table": "order_lines",
      "column": "product_id",
      "parent": "products"
     },
     "pass_at": 0.45
    },
    {
     "family": "concentration",
     "check": "uneven_value",
     "where": "order_lines value per product",
     "status": "pass",
     "value": 0.7099,
     "bar": "top 20% share pass ≥ 50%, weak ≥ 35% (a random deal gives 22%)",
     "text": "the top 20% of products hold 71% of the money in order_lines (top 1%: 23%); dealt at random they would hold 22%",
     "source": "real retail: the top 20% of customers hold 50-65% of sales (Sharp, Romaniuk & Graham 2019) and 73% across 22 packaged-goods categories (Kim, Singh & Winer 2017); a UK online retailer's records (UCI Online Retail II): 64% of orders and 77% of revenue by customer, 68% of order lines and 80% of revenue by product"
    },
    {
     "family": "prices",
     "check": "price_endings",
     "where": "order_lines.unit_price",
     "status": "pass",
     "value": 0.7995,
     "bar": "the 5 commonest cents hold ≥ 35% of the prices (weak ≥ 20%; 5% at random)",
     "text": "384 distinct prices in order_lines.unit_price; the 5 commonest cents (99, 00, 95, 98, 97) hold 80%",
     "source": "prices are set by someone: a UK online retailer's 144 prices (UCI Online Retail II) end in .95, .25, .65, .85 and .75 two times in three; prices drawn at random spread their cents evenly (5% for any five)"
    }
   ],
   "coverage": {
    "checks": 13,
    "families": [
     "concentration",
     "dependency",
     "popularity",
     "prices",
     "time_order"
    ],
    "tables": [
     "customers",
     "order_lines",
     "orders",
     "products",
     "returns",
     "stores"
    ],
    "of_tables": 6,
    "enough": true
   }
  },
  "realism_report": {
   "findings": [],
   "checks": 14,
   "clean_tables": 1.0
  },
  "scenario": {
   "future": false,
   "window": [
    "2023-01-01",
    "2026-06-30"
   ],
   "note": "The window ends in the future: this is a simulated scenario built from structural assumptions and the events you described, not a forecast."
  },
  "understanding": {},
  "content": {},
  "degraded": false,
  "working_tables": {
   "brands": {
    "rows": 32
   },
   "cities": {
    "rows": 60
   },
   "subcategories": {
    "rows": 30
   },
   "variants": {
    "rows": 1085
   }
  }
 },
 "realism_scorecard": "realism 98.1\n   dependency 100  popularity 100  consistency 100  time_order 100  concentration 100  rhythm 83  prices 100  text 100  artifacts 100\n   weak rhythm        returns.return_date: the busiest weekday has 1.02x the quietest's rows in returns (p = 0.362 against every day alike); every weekday alike, as a random date gives\n   note dependency    returns: a classifier tells returns from a column-shuffled copy with AUC 0.505 over only 3 columns (4 features); too few columns to judge\n   pass concentration orders per customer: the busiest 20% of customers hold 77% of orders (top 1%: 13%; CV 2.01); dealt at random they would hold 30%\n   pass concentration orders value per customer: the top 20% of customers hold 82% of the money in orders (top 1%: 17%); dealt at random they would hold 44%\n   pass concentration order_lines per product: the busiest 20% of products hold 59% of order_lines (top 1%: 12%; CV 1.62); dealt at random they would hold 21%\n   pass concentration order_lines value per product: the top 20% of products hold 65% of the money in order_lines (top 1%: 18%); dealt at random they would hold 22%\n   pass consistency   order_lines.unit_price: order_lines.unit_price is within half to twice its products.list_price on 100% of rows (median 1.00x)\n   pass consistency   order_lines.unit_price: 0.1% of order_lines sell under their products.unit_cost after discount_pct\n   pass consistency   products.list_price: 0% of products sell under their unit_cost\n   pass consistency   order_lines.net_amount: order_lines.net_amount equals quantity × unit_price × (1 − discount_pct) on 100% of rows\n   pass consistency   order_lines.unit_price: 0% of order_lines sell under their unit_cost\n   pass dependency    products: a classifier tells products from a column-shuffled copy with AUC 0.989 over 5 features\n   pass dependency    customers: a classifier tells customers from a column-shuffled copy with AUC 0.98 over 6 features\n   pass dependency    order_lines: a classifier tells order_lines from a column-shuffled copy with AUC 0.998 over 8 features\n   pass popularity    order_lines.product_id → products: the most chosen of products appears 60.9× as often as the median one\n   pass prices        products.list_price: 384 distinct prices in products.list_price; the 5 commonest cents (99, 00, 95, 98, 97) hold 80%\n   pass prices        order_lines.unit_price: 384 distinct prices in order_lines.unit_price; the 5 commonest cents (99, 00, 95, 98, 97) hold 80%\n   pass rhythm        orders.order_date: the busiest weekday has 1.32x the quietest's rows in orders (p = 0 against every day alike)\n   pass rhythm        order_lines.order_date: the busiest weekday has 1.32x the quietest's rows in order_lines (p = 0 against every day alike)\n   pass text          products.product_name: 1,500 distinct texts in 1,500 rows of products.product_name\n   pass time_order    orders.order_date vs customers.signup_date: 0.00% of orders are dated before their customer's signup date\n   pass time_order    order_lines.order_date vs orders.order_date: 0.00% of order_lines are dated before their order's order date\n   pass time_order    order_lines.order_date vs customers.signup_date: 0.00% of order_lines are dated before their customer's signup date\n   pass time_order    returns.return_date vs order_lines.order_date: 0.00% of returns are dated before their order_line's order date",
 "rows": {
  "stores": 41,
  "products": 1500,
  "customers": 150000,
  "orders": 1199998,
  "order_lines": 3023975,
  "returns": 221756
 }
}