# -*- coding: utf-8 -*-
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_2026', charset='utf8mb4')
cur = conn.cursor()
def q(sql):
    cur.execute(sql); return cur.fetchall()

print("### 1. Bug密度（开发者维度）：6月done任务，分子=挂任务的Bug数，分母=Σestimate")
rows = q("""
SELECT t.assignedTo, u.realname, COUNT(DISTINCT t.id) tasks, SUM(t.estimate) est
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 NOT IN ('','closed')
GROUP BY t.assignedTo ORDER BY est DESC
""")
print("name | done任务 | Σest(h) | Bug数 | ×100(%) | ×1000(‰)")
for r in rows:
    est = float(r[3] or 0)
    bugs = q(f"SELECT COUNT(*) FROM zt_bug b JOIN zt_task t2 ON b.task=t2.id WHERE t2.assignedTo='{r[0]}' AND t2.status='done' AND t2.finishedDate>='2026-06-01' AND t2.finishedDate<'2026-07-01' AND t2.deleted='0' AND b.deleted='0'")[0][0]
    if est:
        print(f"{r[1] or r[0]} | {r[2]} | {est:.1f} | {bugs} | {bugs/est*100:.2f}% | {bugs/est*1000:.1f}‰")

print("\n### 2. 线上Bug率（产品维度）：6月上线需求  prod Bug / devel工时")
rows = q("""
SELECT s.product, COUNT(DISTINCT s.id) stories
FROM zt_story s
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
GROUP BY s.product ORDER BY stories DESC LIMIT 6
""")
for r in rows:
    pid = r[0]
    dev = q(f"""SELECT SUM(t.estimate) FROM zt_task t JOIN zt_story s ON t.story=s.id
        WHERE s.product={pid} AND s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0' AND t.type='devel' AND t.deleted='0'""")[0][0]
    bugs = q(f"""SELECT b.severity, COUNT(*) FROM zt_bug b JOIN zt_story s ON b.story=s.id
        WHERE s.product={pid} AND s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0' AND b.deleted='0' GROUP BY b.severity""")
    dev = float(dev or 0)
    tot = sum(c for _, c in bugs)
    rate = tot/dev*1000 if dev else None
    print(f"product {pid}: 上线需求={r[1]} devel工时={dev:.1f} Bug={bugs} → {'%.2f‰'%rate if rate is not None else 'NA（分母0）'}")

print("\n### 3. 缺陷检出率（全量）：6月上线需求  (普通×1+重大×5)/devel工时")
rows = q("""
SELECT (SELECT SUM(t.estimate) FROM zt_task t WHERE t.story=s.id AND t.type='devel' AND t.deleted='0') dev_est,
  (SELECT COUNT(*) FROM zt_bug b WHERE b.story=s.id AND b.deleted='0' AND b.severity IN (3,4)) nb,
  (SELECT COUNT(*) FROM zt_bug b WHERE b.story=s.id AND b.deleted='0' AND b.severity IN (1,2)) mb
FROM zt_story s WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
""")
tot_dev = sum(float(r[0] or 0) for r in rows)
tot_w = sum((r[1] or 0)*1 + (r[2] or 0)*5 for r in rows)
n_dev0 = sum(1 for r in rows if not r[0])
print(f"需求数={len(rows)}（其中devel工时为空 {n_dev0}） Σdevel工时={tot_dev:.1f} Σ加权Bug={tot_w}")
if tot_dev:
    print(f"检出率 ×100={tot_w/tot_dev*100:.2f}%   ×1000={tot_w/tot_dev*1000:.1f}‰")

print("\n### 4. 版本计划：6月发布需求 工时 vs 指数覆盖")
rows = q("""
SELECT s.id, 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_id=s.id
WHERE s.releaseddate>='2026-06-01' AND s.releaseddate<'2026-07-01' AND s.deleted='0'
""")
n=len(rows); wi=[r for r in rows if r[2] not in (None,'','0')]
sum_task=sum(float(r[3] or 0) for r in rows); sum_sest=sum(float(r[1] or 0) for r in rows)
print(f"发布需求={n}  有工作量指数={len(wi)}（覆盖率 {len(wi)/n*100:.0f}%）  Σ任务工时={sum_task:.1f}  Σstory.estimate={sum_sest:.1f}")

print("\n### 5. 检出率口径交叉：严重度分布（6月所有Bug）")
for r in q("SELECT severity, COUNT(*) FROM zt_bug WHERE deleted='0' AND openeddate>='2026-06-01' AND openeddate<'2026-07-01' GROUP BY severity"):
    print("severity", r[0], "=", r[1])