76 lines
3.0 KiB
Python
76 lines
3.0 KiB
Python
"""迁移脚本：更新现有战略地图KPI codes + 关联所有活跃KPI到地图"""
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from app.database import get_engine
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from sqlalchemy import text
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import json
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def migrate():
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e = get_engine()
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with e.begin() as c:
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# 1. 更新现有地图的dimensions → 使用真实KPI codes
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maps = c.execute(text('SELECT id, dimensions FROM strategic_maps')).fetchall()
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for mid, dims_json in maps:
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if not dims_json:
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continue
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dims = json.loads(dims_json) if isinstance(dims_json, str) else dims_json
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# 定义层→节点名→真实KPI code的映射
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name_to_kpi = {
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# 财务层
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"营收目标": ["F_REVENUE"],
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"净利润率": ["F_NET_PROFIT"],
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"现金流": ["F_OP_CFLOW"],
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# 客户层
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"客户满意度": ["C_SATISFACTION"],
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"市场份额": ["C_MARKET_SHARE"],
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"客户保留率": ["C_RETENTION_RATE"],
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# 流程层
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"运营效率": ["P_DELIVERY"],
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"质量合格率": ["P_PASS_RATE"],
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# 学习层
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"关键岗位胜任度": ["L_COMPETENCY"],
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"培训完成率": ["L_TRAINING"],
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}
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updated = False
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for dim in dims:
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for obj in dim.get("objectives", []):
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name = obj.get("name", "")
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if name in name_to_kpi:
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real_kpis = name_to_kpi[name]
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if obj.get("kpis") != real_kpis:
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obj["kpis"] = real_kpis
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updated = True
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if updated:
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c.execute(
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text("UPDATE strategic_maps SET dimensions = :dims WHERE id = :mid"),
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{"dims": json.dumps(dims, ensure_ascii=False), "mid": mid},
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)
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print(f"✅ 地图 {mid}: dimensions KPI codes 已更新")
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# 2. 将所有活跃KPI的map_id更新为1
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result = c.execute(
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text("UPDATE kpi_definitions SET map_id = 1 WHERE status = 'active' AND (map_id IS NULL OR map_id != 1)")
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)
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affected = result.rowcount
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print(f"✅ 已更新 {affected} 个活跃KPI的 map_id → 1")
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# 3. 验证
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total = c.execute(text("SELECT COUNT(*) FROM kpi_definitions WHERE status='active' AND map_id = 1")).scalar()
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print(f"📊 活跃KPI关联到地图1的数量: {total}")
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kpis_with_data = c.execute(text("""
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SELECT k.kpi_code, k.kpi_name
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FROM kpi_definitions k
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WHERE EXISTS (
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SELECT 1 FROM kpi_values v WHERE v.kpi_id = k.id
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) AND k.map_id = 1
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ORDER BY k.kpi_code
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""")).fetchall()
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print(f"📊 有历史数据的KPI ({len(kpis_with_data)}个):")
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for r in kpis_with_data:
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print(f" {r.kpi_code} - {r.kpi_name}")
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if __name__ == "__main__":
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migrate()
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