analyze_task.py
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# -*- coding: utf-8 -*-
import pyodbc
conn_str = 'DRIVER={ODBC Driver 17 for SQL Server};SERVER=192.168.1.91,1433;DATABASE=wms4_global;UID=sa;PWD=HHrobot123.'
conn = pyodbc.connect(conn_str)
cursor = conn.cursor()
# 查看task_header表结构
print("=" * 80)
print("【task_header 表结构】")
print("=" * 80)
cursor.execute("""
SELECT COLUMN_NAME, DATA_TYPE
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'task_header'
ORDER BY ORDINAL_POSITION
""")
for row in cursor.fetchall():
print(f" {row[0]}: {row[1]}")
print("\n" + "=" * 80)
print("【task_header 状态分布】")
print("=" * 80)
cursor.execute("""
SELECT ISNULL(CAST(status AS VARCHAR), 'NULL') as status, COUNT(*) as cnt
FROM task_header
GROUP BY CAST(status AS VARCHAR)
ORDER BY cnt DESC
""")
for row in cursor.fetchall():
print(f" 状态{row[0]}: {row[1]}条")
print("\n" + "=" * 80)
print("【task_header 类型分布】")
print("=" * 80)
cursor.execute("""
SELECT ISNULL(CAST(task_type AS VARCHAR), 'NULL') as task_type, COUNT(*) as cnt
FROM task_header
GROUP BY CAST(task_type AS VARCHAR)
ORDER BY cnt DESC
""")
for row in cursor.fetchall():
print(f" 类型{row[0]}: {row[1]}条")
print("\n" + "=" * 80)
print("【task_header 与单据关联字段探索】")
print("=" * 80)
cursor.execute("SELECT TOP 3 * FROM task_header")
cols = [desc[0] for desc in cursor.description]
print(f" 字段: {cols}")
conn.close()