# -*- coding: utf-8 -*-
"""6月数据核对：Bug密度单位 / 检出率>20%合理性 / 线上Bug率‰ / 版本计划工时vs指数"""
import io, sys, pymysql
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
conn = pymysql.connect(host='192.168.1.161', user='devgps', password='dev@2021GPS',
                       database='zentao_dev', charset='utf8mb4')
cur = conn.cursor()

def q(sql, args=None):
    cur.execute(sql, args or ())
    return cur.fetchall()

print("### 0. 库时区/月份确认（2026-06）")
print(q("SELECT NOW()"))

print("\n### 1. Bug密度：按开发者(assignedTo) 6月done任务  分子=Bug数 分母=estimate")
rows = q("""
SELECT t.assignedTo, u.realname,
       COUNT(DISTINCT t.id) tasks, SUM(t.estimate) est,
       (SELECT COUNT(*) FROM zt_bug b WHERE b.task IN (SELECT id FROM zt_task t2 WHERE t2.assignedTo=t.assignedTo AND t2.status='done' AND t2.finishedDate>='2026-06-01' AND t2.finishedDate<'2026-07-01' AND t2.deleted='0')) bugs
FROM zt_task t LEFT JOIN zt_user u ON u.account=t.assignedTo
WHERE t.status='done' AND t.finishedDate>='2026-06-01' AND t.finishedDate<'2026-07-01' AND t.deleted='0' AND t.assignedTo!='' AND t.assignedTo!='closed'
GROUP BY t.assignedTo ORDER BY est DESC
""")
print("account | name | done任务 | Σestimate(h) | Bug数 | ×100=% | ×1000=‰")
for r in rows:
    est = float(r[3] or 0); bugs = r[4] or 0
    p100 = bugs/est*100 if est else None
    p1000 = bugs/est*1000 if est else None
    print(f"{r[0]} | {r[1]} | {r[2]} | {est:.1f} | {bugs} | {('%.2f'%p100) if p100 is not None else 'NA'} | {('%.1f'%p1000) if p1000 is not None else 'NA'}")

print("\n### 2. 线上Bug率：6月上线需求(releaseddate) 关联 prod Bug + devel任务estimate合计")
rows = q("""
SELECT s.product, COUNT(DISTINCT s.id) stories, SUM(s.estimate) story_est
FROM zt_story s
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
GROUP BY s.product
""")
print("product | 上线需求数 | Σstory.estimate")
for r in rows: print(r)
print("-- devel任务工时合计（按需求）:")
rows = q("""
SELECT s.product, SUM(t.estimate) devel_est, COUNT(DISTINCT t.id) devel_tasks
FROM zt_story s JOIN zt_task t ON t.story=s.id AND t.type='devel' AND t.deleted='0'
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
GROUP BY s.product
""")
for r in rows: print(r)
print("-- 这些上线需求关联的Bug（zt_bug.story IN）:")
rows = q("""
SELECT s.product, b.severity, COUNT(*) cnt
FROM zt_bug b JOIN zt_story s ON b.story=s.id
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0' AND b.deleted='0'
GROUP BY s.product, b.severity
""")
for r in rows: print(r)

print("\n### 3. 缺陷检出率：测试需求（6月releaseddate）开发工时 vs Bug（普通×1+重大×5）")
rows = q("""
SELECT s.id, s.title, s.assignedTo, e.test_person, s.product,
  (SELECT SUM(t.estimate) FROM zt_task t WHERE t.story=s.id AND t.type='devel' AND t.deleted='0') devel_est,
  (SELECT COUNT(*) FROM zt_bug b WHERE b.story=s.id AND b.deleted='0' AND b.severity IN (3,4)) normal_bugs,
  (SELECT COUNT(*) FROM zt_bug b WHERE b.story=s.id AND b.deleted='0' AND b.severity IN (1,2)) major_bugs
FROM zt_story s LEFT JOIN zt_story_expand e ON e.story=s.id
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
ORDER BY s.id
""")
tot_dev=0; tot_weight=0
for r in rows:
    dev = float(r[5] or 0); w = (r[6] or 0)*1 + (r[7] or 0)*5
    tot_dev += dev; tot_weight += w
    print(f"story {r[0]} prod={r[4]} test={r[3]} devel_h={dev:.1f} 普通Bug={r[6]} 重大={r[7]} 加权={w}")
print(f"合计: Σ开发工时={tot_dev:.1f}  Σ加权Bug={tot_weight}")
if tot_dev:
    print(f"检出率 ×100 = {tot_weight/tot_dev*100:.2f}%   ×1000 = {tot_weight/tot_dev*1000:.1f}‰")

print("\n### 4. 版本计划：6月发布需求 工时加权 vs 指数加权")
rows = q("""
SELECT s.id, s.releaseddate, s.estimate, e.workload_index,
  (SELECT SUM(t.estimate) FROM zt_task t WHERE t.story=s.id AND t.deleted='0') task_est
FROM zt_story s LEFT JOIN zt_story_expand e ON e.story=s.id
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
""")
n=len(rows); with_idx=sum(1 for r in rows if r[3] not in (None,'','0'))
sum_est=sum(float(r[4] or 0) for r in rows); sum_task=sum(float(r[2] or 0) for r in rows)
print(f"发布需求数={n}  有指数={with_idx}  Σtask.estimate={sum_task:.1f}  Σstory.estimate={sum_est:.1f}")