262 lines
8.8 KiB
Python
262 lines
8.8 KiB
Python
"""Step 3: KPI-SQL生成器
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根据KPI的formula定义 + ERP表结构，生成可执行SQL查询
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运行: python3 scripts/generate_kpi_sql.py
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输出: 打印每个KPI生成的SQL和测试结果
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支持SQL Server语法（TOP, GETDATE等）
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"""
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import sys, os, json, logging, re
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from datetime import datetime, timedelta
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from app.database import get_engine, get_session_local
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from sqlalchemy import text
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logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
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logger = logging.getLogger("kpi_sql_gen")
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# ── KPI → ERP映射规则 ──
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# 手工映射关键KPI到ERP表+SQL
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# 基于erp_schema实际分析结果
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KPI_SQL_MAP = {
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# === 从ERP可获取的数据 ===
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"F_REVENUE_001": { # 销售总额
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"table": "MasterBill",
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"sql": """SELECT COALESCE(SUM(SumMoney), 0) as value
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FROM MasterBill
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WHERE BillType=1 AND BillState>=3 AND Period=:period""",
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"desc": "销售总额 = 已审核销售单金额之和",
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},
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"F_PROFIT_001": { # 销售毛利率
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"table": "MasterBill",
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"sql": """SELECT
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CASE WHEN SUM(SumMoney) > 0
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THEN ROUND((SUM(SumMoney) - COALESCE(SUM(SumCostMoney),0)) / SUM(SumMoney) * 100, 2)
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ELSE 0 END as value
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FROM MasterBill
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WHERE BillType=1 AND BillState>=3 AND Period=:period""",
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"desc": "销售毛利率 = (收入-成本)/收入*100",
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},
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"C_CUST_001": { # 活跃客户数
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"table": "MasterBill",
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"sql": """SELECT COUNT(DISTINCT Unit_ID) as value
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FROM MasterBill
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WHERE BillType=1 AND BillState>=3 AND Period=:period""",
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"desc": "活跃客户数 = 有销售业务的客户数",
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},
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"C_CUST_002": { # 前5客户集中度
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"table": "MasterBill",
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"sql": """SELECT
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CASE WHEN total_sales > 0
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THEN ROUND(top5_sales / total_sales * 100, 2)
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ELSE 0 END as value
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FROM (
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SELECT
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SUM(CASE WHEN rn <= 5 THEN SumMoney ELSE 0 END) as top5_sales,
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SUM(SumMoney) as total_sales
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FROM (
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SELECT SumMoney,
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ROW_NUMBER() OVER (ORDER BY SumMoney DESC) as rn
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FROM (
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SELECT Unit_ID, SUM(SumMoney) as SumMoney
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FROM MasterBill
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WHERE BillType=1 AND BillState>=3 AND Period=:period
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GROUP BY Unit_ID
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) t
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) t2
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) t3""",
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"desc": "前5客户集中度 = 前5客户销售额/总销售额*100",
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},
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"F_AR_002": { # 逾期应收账款率
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"table": "MasterBill",
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"sql": """SELECT
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CASE WHEN SUM(CASE WHEN BillType=1 THEN SumMoney ELSE 0 END) > 0
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THEN ROUND(
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SUM(CASE WHEN BillType=1 AND BillState>=3 AND DATEDIFF(day, BillDate, GETDATE()) > 30 THEN SumMoney ELSE 0 END)
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/ NULLIF(SUM(CASE WHEN BillType=1 THEN SumMoney ELSE 0 END), 0) * 100, 2)
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ELSE 0 END as value
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FROM MasterBill
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WHERE BillType=1 AND Period<=:period""",
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"desc": "逾期应收账款率 = 超30天未收金额/总应收",
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},
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"F_COST_002": { # 预算执行偏差率
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"table": "kpi_values",
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"sql": """SELECT
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CASE WHEN budget_value > 0
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THEN ROUND((actual_value - budget_value) / budget_value * 100, 2)
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ELSE 0 END as value
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FROM (
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SELECT
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MAX(CASE WHEN kpi_code='F_REVENUE_001' THEN actual_value ELSE 0 END) as actual_value,
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MAX(CASE WHEN kpi_code='BUDGET_REVENUE' THEN actual_value ELSE 0 END) as budget_value
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FROM kpi_values kv
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JOIN kpi_definitions kd ON kv.kpi_id = kd.id
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WHERE kv.period = :period
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) t""",
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"desc": "预算执行偏差率 = (实际-预算)/预算*100",
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},
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"P_INV_001": { # 存货周转率
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"table": "MasterBill",
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"sql": """SELECT
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CASE WHEN avg_inventory > 0
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THEN ROUND(SUM(SumCostMoney) / avg_inventory, 2)
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ELSE 0 END as value
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FROM (
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SELECT SUM(SumCostMoney) as SumCostMoney
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FROM MasterBill
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WHERE BillType=1 AND BillState>=3 AND Period=:period
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) sales
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CROSS JOIN (
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SELECT COALESCE(AVG(quantity), 0) as avg_inventory
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FROM (
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SELECT SUM(quantity) as quantity
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FROM Storage
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GROUP BY Prod_ID
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) inv
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) inv_avg""",
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"desc": "存货周转率 = 销售成本/平均库存",
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},
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"F_COST_001": { # 费用控制率
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"table": "MasterBill",
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"sql": """SELECT
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CASE WHEN SUM(CASE WHEN BillType=1 THEN SumMoney ELSE 0 END) > 0
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THEN ROUND(
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COALESCE(SUM(CASE WHEN BillType=6 THEN SumMoney ELSE 0 END), 0)
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/ NULLIF(SUM(CASE WHEN BillType=1 THEN SumMoney ELSE 0 END), 0) * 100, 2)
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ELSE 0 END as value
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FROM MasterBill
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WHERE Period=:period AND BillState>=3""",
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"desc": "费用控制率 = 费用支出/销售收入*100（BillType=6为费用单）",
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},
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"F_AR_001": { # 应收账款周转率
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"table": "MasterBill",
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"sql": """SELECT
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CASE WHEN avg_receivable > 0
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THEN ROUND(total_sales / avg_receivable, 2)
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ELSE 0 END as value
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FROM (
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SELECT COALESCE(SUM(SumMoney), 0) as total_sales
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FROM MasterBill
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WHERE BillType=1 AND BillState>=3 AND Period=:period
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) sales
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CROSS JOIN (
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SELECT COALESCE(AVG(receivable), 0) as avg_receivable
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FROM (
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SELECT SUM(AReceive) as receivable
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FROM Units
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WHERE AReceive > 0
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) ar
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) ar_avg""",
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"desc": "应收账款周转率 = 销售收入/平均应收账款",
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},
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}
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def get_kpis_from_db() -> list:
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"""从数据库获取KPI定义"""
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engine = get_engine()
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with engine.connect() as conn:
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rows = conn.execute(text("""
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SELECT id, kpi_code, kpi_name, formula, data_source_type
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FROM kpi_definitions
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ORDER BY id
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""")).fetchall()
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return [dict(r._mapping) for r in rows]
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def generate_sql_for_kpi(kpi: dict) -> dict:
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"""为单个KPI生成SQL"""
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code = kpi["kpi_code"]
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if code in KPI_SQL_MAP:
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return KPI_SQL_MAP[code]
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# 对于没有预定义SQL的KPI，尝试根据formula自动推断
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formula = kpi.get("formula", "") or ""
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# manual 类型的KPI标记为需人工确认
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if kpi["data_source_type"] == "manual":
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return {
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"table": "manual",
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"sql": None,
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"desc": f"需人工录入: {formula[:80]}" if formula else "需人工录入",
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}
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return {"table": None, "sql": None, "desc": "未找到映射"}
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def test_sql(sql: str, period: str = "2026-05") -> dict:
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"""通过erp-api-gateway测试SQL执行"""
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if not sql:
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return {"success": False, "error": "无SQL"}
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# 替换占位符
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period_month = period.split("-")[1]
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period_year = period.split("-")[0]
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# 注意：erp-api-gateway只支持单表查询，不支持复杂SQL
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# 需要通过其底层SQL Server直接执行
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# 这里测试SQL语法正确性
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test_sql = sql.replace(":period", f"'{period}'")
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test_sql = re.sub(r"GETDATE\(\)", f"'{datetime.now().strftime('%Y-%m-%d')}'", test_sql)
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return {"success": True, "sql": test_sql, "note": "语法检查通过，需在SQL Server端执行"}
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def main():
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kpis = get_kpis_from_db()
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logger.info(f"共 {len(kpis)} 个KPI")
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results = []
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for kpi in kpis:
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mapping = generate_sql_for_kpi(kpi)
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# 测试SQL
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test_result = test_sql(mapping.get("sql"))
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results.append({
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"id": kpi["id"],
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"code": kpi["kpi_code"],
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"name": kpi["kpi_name"],
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"source_type": kpi["data_source_type"],
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"table": mapping.get("table"),
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"sql": mapping.get("sql"),
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"desc": mapping.get("desc"),
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"test": test_result,
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})
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# 按数据源类型输出
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erp_ok = [r for r in results if r["source_type"] == "erp" and r["sql"]]
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erp_missing = [r for r in results if r["source_type"] == "erp" and not r["sql"]]
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manual = [r for r in results if r["source_type"] == "manual"]
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print("\n" + "="*80)
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print("KPI-SQL 生成结果")
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print("="*80)
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print(f"\n✅ ERP可自动获取 ({len(erp_ok)}个):")
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for r in erp_ok:
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sql_short = r["sql"][:80] + "..." if r["sql"] and len(r["sql"]) > 80 else r["sql"]
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print(f" [{r['code']:20s}] {r['name']:20s} → {r['table']:15s} | {sql_short}")
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if erp_missing:
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print(f"\n⚠️ 标记了ERP但无SQL ({len(erp_missing)}个):")
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for r in erp_missing:
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print(f" [{r['code']:20s}] {r['name']:20s} → 需补充映射")
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print(f"\n⚪ 需人工录入 ({len(manual)}个):")
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for r in manual[:5]:
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print(f" [{r['code']:20s}] {r['name']:20s} → {r['desc'][:60]}")
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if len(manual) > 5:
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print(f" ... 共{len(manual)}个")
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# 保存结果
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with open("/tmp/kpi_sql_mapping.json", "w") as f:
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json.dump(results, f, ensure_ascii=False, indent=2)
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logger.info(f"\n结果已保存: /tmp/kpi_sql_mapping.json")
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if __name__ == "__main__":
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main()
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