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193 | def writeKpiToPostgres(**context):
ti = context["ti"]
# --- Pull KPI values from previous tasks ---
elapsed_time = ti.xcom_pull(task_ids="getProgrammeData") # KPI 1 (days)
contractKPIs = ti.xcom_pull(task_ids="getContractData") # KPI 2–4
cnceKPIs = ti.xcom_pull(task_ids="getCNCEData") # KPI 5-6
ceImplementationKPIs = ti.xcom_pull(task_ids="getCEImplementationData") # KPI 7-8
riskKPIs = ti.xcom_pull(task_ids="getRiskRegisterData") # KPI 9–10
kpi1 = int(elapsed_time or 0)
kpi2 = float(contractKPIs.get("kpi2_ratio_pwdd") or 0)
kpi3 = float(contractKPIs.get("kpi3_estimate_vs_forecast") or 0)
kpi4 = float(contractKPIs.get("kpi4_pain_share") or 0)
kpi5 = int(cnceKPIs.get("kpi5") or 0)
kpi6 = int(cnceKPIs.get("kpi6") or 0)
kpi7 = int(ceImplementationKPIs.get("kpi7") or 0)
kpi8 = int(ceImplementationKPIs.get("kpi8") or 0)
kpi9 = int(riskKPIs.get("kpi9_open_gt_3m") or 0)
kpi10 = int(riskKPIs.get("kpi10_open_gt_6m") or 0)
print(f"kpi5: {kpi5}")
print(f"kpi5: {kpi6}")
delete_table_sql_query = """DROP TABLE IF EXISTS nd201905_kpi"""
create_table_sql_query = """
CREATE TABLE IF NOT EXISTS nd201905_kpi (
id SERIAL PRIMARY KEY,
kpi_no INT NOT NULL,
kpi_name VARCHAR(50) NOT NULL,
subject TEXT,
description TEXT,
value VARCHAR(100) NOT NULL,
unit VARCHAR(50),
condition VARCHAR(10),
action TEXT,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
"""
# --- Build KPI rows ---
rows = []
# KPI 1
cond, action = evaluate_kpi_condition(1, kpi1)
rows.append({
"kpi_no": 1,
"kpi_name": "KPI No. 1",
"subject": "Programme",
"description": "No. of days between the acceptance of programme and the reporting date",
"value": str(kpi1),
"unit": "days",
"condition": cond,
"action": action,
})
# KPI 2
cond, action = evaluate_kpi_condition(2, kpi2)
rows.append({
"kpi_no": 2,
"kpi_name": "KPI No. 2",
"subject": "Prices",
"description": "PWDD % for target cost contract",
"value": f"{kpi2:.2f}",
"unit": "%",
"condition": cond,
"action": action,
})
# KPI 3
cond, action = evaluate_kpi_condition(3, kpi3)
rows.append({
"kpi_no": 3,
"kpi_name": "KPI No. 3",
"subject": "Prices",
"description": "Difference of total of the Prices between PM and Contractor",
"value": f"{kpi3:.2f}",
"unit": "%",
"condition": cond,
"action": action,
})
# KPI 4
cond, action = evaluate_kpi_condition(4, kpi4)
rows.append({
"kpi_no": 4,
"kpi_name": "KPI No. 4",
"subject": "Prices",
"description": "% of Pain Share / total of the Prices (adjusted by fee percentage)",
"value": f"{kpi4:.2f}",
"unit": "%",
"condition": cond,
"action": action,
})
# KPI 5
cond, action = evaluate_kpi_condition(5,kpi5)
rows.append({
"kpi_no": 5,
"kpi_name": "KPI No. 5",
"subject": "CNCE",
"description": "No. > 3 months",
"value": f"{kpi5}",
"unit": "no.",
"condition": cond,
"action": action,
})
# KPI 6
cond, action = evaluate_kpi_condition(6,kpi6)
rows.append({
"kpi_no": 6,
"kpi_name": "KPI No. 6",
"subject": "CNCE",
"description": "No. > 6 months",
"value": f"{kpi6}",
"unit": "no.",
"condition": cond,
"action": action,
})
# KPI 7
cond, action = evaluate_kpi_condition(7, kpi7)
rows.append({
"kpi_no": 7,
"kpi_name": "KPI No. 7",
"subject": "CE Implementation",
"description": "No. > 3 months",
"value": f"{kpi7}",
"unit": "no.",
"condition": cond,
"action": action,
})
# KPI 8
cond, action = evaluate_kpi_condition(8, kpi8)
rows.append({
"kpi_no": 8,
"kpi_name": "KPI No. 8",
"subject": "CE Implementation",
"description": "No. > 6 months",
"value": f"{kpi8}",
"unit": "no.",
"condition": cond,
"action": action,
})
# KPI 9
cond, action = evaluate_kpi_condition(9, kpi9)
rows.append({
"kpi_no": 9,
"kpi_name": "KPI No. 9",
"subject": "Early Warning",
"description": "No. of Early Warnings with Elapse time > 3 months",
"value": str(int(kpi9)),
"unit": "no.",
"condition": cond,
"action": action,
})
# KPI 10
cond, action = evaluate_kpi_condition(10, kpi10)
rows.append({
"kpi_no": 10,
"kpi_name": "KPI No. 10",
"subject": "Early Warning",
"description": "No. of Early Warnings with Elapse time > 6 months",
"value": str(int(kpi10)),
"unit": "no.",
"condition": cond,
"action": action,
})
kpi_df = pd.DataFrame(rows)
print(f"check dataframe: {kpi_df}")
# --- Drop, create, insert ---
engine = get_dw_engine()
with engine.begin() as conn:
conn.execute(delete_table_sql_query)
conn.execute(create_table_sql_query)
kpi_df.to_sql(
"nd201905_kpi",
con=conn,
if_exists="append",
index=False,
)
print("nd201905_kpi table refreshed with KPI 1,2,3,4,5,6,7,8.9,10.")
|