from __future__ import annotations

# ---------------------------------------------------------------------------
# AdventureWorksDW2022 — read-only MSSQL queries
# Each list contains fallback variants tried in order.
# ---------------------------------------------------------------------------

# Daily sales combining FactInternetSales + FactResellerSales
AW_DAILY_SALES: list[str] = [
    """
    SELECT
      CAST(d.FullDateAlternateKey AS date) AS sale_date,
      SUM(f.SalesAmount)       AS revenue,
      SUM(f.TotalProductCost)  AS cost,
      SUM(f.OrderQuantity)     AS quantity,
      COUNT_BIG(*)             AS orders
    FROM dbo.FactInternetSales AS f
    INNER JOIN dbo.DimDate AS d ON d.DateKey = f.OrderDateKey
    GROUP BY CAST(d.FullDateAlternateKey AS date)

    UNION ALL

    SELECT
      CAST(d.FullDateAlternateKey AS date) AS sale_date,
      SUM(r.SalesAmount)       AS revenue,
      SUM(r.TotalProductCost)  AS cost,
      SUM(r.OrderQuantity)     AS quantity,
      COUNT_BIG(*)             AS orders
    FROM dbo.FactResellerSales AS r
    INNER JOIN dbo.DimDate AS d ON d.DateKey = r.OrderDateKey
    GROUP BY CAST(d.FullDateAlternateKey AS date)

    ORDER BY sale_date;
    """,
    # Fallback: internet sales only using OrderDate column directly
    """
    SELECT
      CAST(OrderDate AS date)  AS sale_date,
      SUM(SalesAmount)         AS revenue,
      SUM(TotalProductCost)    AS cost,
      SUM(OrderQuantity)       AS quantity,
      COUNT_BIG(*)             AS orders
    FROM dbo.FactInternetSales
    GROUP BY CAST(OrderDate AS date)
    ORDER BY sale_date;
    """,
]

# Sales rep performance — reseller sales attributed to employees
AW_REP_PERFORMANCE: list[str] = [
    """
    SELECT
      e.EmployeeKey                           AS employee_key,
      e.FirstName + ' ' + e.LastName          AS rep_name,
      COALESCE(e.Title, 'Sales Rep')          AS rep_title,
      COALESCE(st.SalesTerritoryRegion, 'Unknown') AS territory,
      SUM(r.SalesAmount)                      AS revenue,
      SUM(r.TotalProductCost)                 AS cost,
      COUNT_BIG(*)                            AS orders,
      AVG(r.SalesAmount)                      AS avg_deal_size
    FROM dbo.FactResellerSales AS r
    INNER JOIN dbo.DimEmployee AS e
      ON e.EmployeeKey = r.EmployeeKey
    INNER JOIN dbo.DimSalesTerritory AS st
      ON st.SalesTerritoryKey = r.SalesTerritoryKey
    WHERE e.SalesPersonFlag = 1
    GROUP BY
      e.EmployeeKey,
      e.FirstName, e.LastName,
      e.Title,
      st.SalesTerritoryRegion
    ORDER BY revenue DESC;
    """,
    # Fallback without SalesPersonFlag filter
    """
    SELECT
      e.EmployeeKey                            AS employee_key,
      e.FirstName + ' ' + e.LastName           AS rep_name,
      COALESCE(e.Title, 'Employee')            AS rep_title,
      'Unknown'                                AS territory,
      SUM(r.SalesAmount)                       AS revenue,
      SUM(r.TotalProductCost)                  AS cost,
      COUNT_BIG(*)                             AS orders,
      AVG(r.SalesAmount)                       AS avg_deal_size
    FROM dbo.FactResellerSales AS r
    INNER JOIN dbo.DimEmployee AS e ON e.EmployeeKey = r.EmployeeKey
    GROUP BY e.EmployeeKey, e.FirstName, e.LastName, e.Title
    ORDER BY revenue DESC;
    """,
]

# Product demand — internet sales with full category hierarchy
AW_PRODUCT_DEMAND: list[str] = [
    """
    SELECT
      p.ProductAlternateKey                               AS product_id,
      p.EnglishProductName                               AS product_name,
      COALESCE(pc.EnglishProductCategoryName, 'Unknown') AS category,
      SUM(f.SalesAmount)                                 AS revenue,
      SUM(f.TotalProductCost)                            AS cost,
      SUM(f.OrderQuantity)                               AS quantity,
      COUNT_BIG(*)                                       AS orders
    FROM dbo.FactInternetSales AS f
    INNER JOIN dbo.DimProduct AS p
      ON p.ProductKey = f.ProductKey
    LEFT JOIN dbo.DimProductSubcategory AS sc
      ON sc.ProductSubcategoryKey = p.ProductSubcategoryKey
    LEFT JOIN dbo.DimProductCategory AS pc
      ON pc.ProductCategoryKey = sc.ProductCategoryKey
    GROUP BY
      p.ProductAlternateKey,
      p.EnglishProductName,
      pc.EnglishProductCategoryName
    ORDER BY revenue DESC;
    """,
    # Fallback: no category join
    """
    SELECT
      CAST(f.ProductKey AS nvarchar(50)) AS product_id,
      COALESCE(p.EnglishProductName, CAST(f.ProductKey AS nvarchar(50))) AS product_name,
      'Unknown'                           AS category,
      SUM(f.SalesAmount)                  AS revenue,
      SUM(f.TotalProductCost)             AS cost,
      SUM(f.OrderQuantity)                AS quantity,
      COUNT_BIG(*)                        AS orders
    FROM dbo.FactInternetSales AS f
    LEFT JOIN dbo.DimProduct AS p ON p.ProductKey = f.ProductKey
    GROUP BY f.ProductKey, p.EnglishProductName
    ORDER BY revenue DESC;
    """,
]