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1 Commits
| Author | SHA1 | Date | |
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| 8ca2ffe272 |
@@ -0,0 +1,408 @@
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#!/usr/bin/env python3
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"""
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PR自动扫描器:扫描所有open PR,对CI全绿的进行自动审批/合并
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作为短作业模式的兜底机制,每5分钟运行一次
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新增:AI审查联动 - AI代码审查发现严重问题时,不自动审批
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"""
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import argparse
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import json
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import os
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import re
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import sys
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import time
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import urllib.error
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import urllib.request
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def api_request(token, repo, endpoint, method="GET", data=None):
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"""Gitea API请求"""
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url = f"https://git.xiaoxiajianji.com/api/v1/repos/{repo}/{endpoint}"
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headers = {"Authorization": f"token {token}", "Content-Type": "application/json"}
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body = json.dumps(data).encode() if data else None
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req = urllib.request.Request(url, data=body, headers=headers, method=method)
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# 跳过SSL验证
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import ssl
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ctx = ssl.create_default_context()
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ctx.check_hostname = False
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ctx.verify_mode = ssl.CERT_NONE
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try:
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resp = urllib.request.urlopen(req, context=ctx)
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return json.loads(resp.read().decode()), resp.status
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except urllib.error.HTTPError as e:
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return json.loads(e.read().decode()) if e.read() else {"error": str(e)}, e.code
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def get_open_prs(token, repo, base="develop"):
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"""获取所有open的PR"""
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prs = []
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page = 1
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while True:
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data, code = api_request(token, repo, f"pulls?state=open&base={base}&sort=recentupdate&per_page=50&page={page}")
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if code != 200 or not isinstance(data, list) or len(data) == 0:
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break
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prs.extend(data)
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if len(data) < 50:
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break
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page += 1
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return prs
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def get_commit_status(token, repo, sha):
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"""获取commit的CI状态汇总"""
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data, code = api_request(token, repo, f"commits/{sha}/status")
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if code != 200:
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return {}, "error"
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return data, data.get("state", "unknown")
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def check_required_contexts(token, repo, sha, contexts):
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"""检查指定的context是否都通过"""
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data, _ = get_commit_status(token, repo, sha)
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statuses = {s["context"]: s["status"] for s in data.get("statuses", [])}
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all_success = True
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any_pending = False
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any_failed = False
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for ctx in contexts:
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state = statuses.get(ctx, "pending")
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if state != "success":
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all_success = False
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if state == "pending":
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any_pending = True
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if state in ("failure", "error"):
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any_failed = True
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return all_success, any_pending, any_failed, statuses
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def get_pr_files(token, repo, pr_number):
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"""获取PR变更文件"""
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files = []
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page = 1
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while True:
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data, code = api_request(token, repo, f"pulls/{pr_number}/files?per_page=300&page={page}")
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if code != 200 or not isinstance(data, list) or len(data) == 0:
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break
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files.extend(data)
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if len(data) < 300:
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break
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page += 1
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return [f["filename"] for f in files]
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def is_frontend_only(files):
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"""判断是否纯前端改动"""
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if not files:
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return False
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frontend_count = sum(1 for f in files if f.startswith("apps/web/"))
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backend_count = len(files) - frontend_count
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return backend_count == 0 and frontend_count > 0
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def has_approval(token, repo, pr_number):
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"""检查PR是否已有审批"""
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reviews, code = api_request(token, repo, f"pulls/{pr_number}/reviews")
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if code != 200:
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return False
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return any(r.get("state") == "APPROVED" for r in reviews if isinstance(r, dict))
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def get_ai_review_result(token, repo, pr_number):
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"""
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检查AI代码审查结果,返回 (has_critical, review_body)
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has_critical: 是否有严重问题(需修改的问题 > 0)
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review_body: 最新的AI审查评论文本
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"""
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# AI审查评论标记
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AI_REVIEW_MARKER = "AI_CODE_REVIEW_AUTO_COMMENT"
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comments, code = api_request(token, repo, f"issues/{pr_number}/comments")
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if code != 200:
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return False, None
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# 找最新的AI审查评论
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ai_comments = [c for c in comments if isinstance(c, dict) and AI_REVIEW_MARKER in c.get("body", "")]
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if not ai_comments:
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return False, None
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# 按时间排序,取最新的
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latest = max(ai_comments, key=lambda c: c.get("created_at", ""))
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body = latest.get("body", "")
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# 解析严重问题数量
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# 匹配 "严重问题数量:X 个" 或 "需修改的问题(严重)" 下的列表
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critical_count = 0
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# 方式1:直接匹配数字
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match = re.search(r"严重问题数量[::]\s*(\d+)\s*个", body)
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if match:
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critical_count = int(match.group(1))
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else:
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# 方式2:数 "需修改的问题" 章节下的条目数
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critical_section = re.search(
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r"###\s*[❌⚠️].*?(?:需修改|问题).*?\n(.*?)(?=\n###|\Z)",
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body,
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re.DOTALL,
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)
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if critical_section:
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section_text = critical_section.group(1)
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# 数编号条目 1. 2. 3.
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items = re.findall(r"^\d+\.\s+\*\*", section_text, re.MULTILINE)
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critical_count = len(items)
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has_critical = critical_count > 0
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return has_critical, body
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def approve_pr(token, repo, pr_number, reason="CI全绿,自动审批通过。"):
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"""审批PR"""
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# 创建review
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data, code = api_request(
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token,
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repo,
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f"pulls/{pr_number}/reviews",
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method="POST",
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data={"event": "PENDING", "body": reason},
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)
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if code not in (200, 201):
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return False, f"创建review失败: HTTP {code}"
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review_id = data.get("id")
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if data.get("state") == "APPROVED":
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return True, "直接创建APPROVED成功"
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if not review_id:
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return False, "未获取到review ID"
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# submit为APPROVED
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data2, code2 = api_request(
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token,
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repo,
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f"pulls/{pr_number}/reviews/{review_id}/events",
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method="POST",
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data={"event": "APPROVED", "body": reason},
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)
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if code2 in (200, 201):
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return True, "审批提交成功"
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else:
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# 尝试另一个端点
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data3, code3 = api_request(
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token,
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repo,
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f"pulls/{pr_number}/reviews/{review_id}",
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method="POST",
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data={"event": "APPROVED", "body": reason},
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)
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if code3 in (200, 201):
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return True, "审批提交成功(备用端点)"
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return False, f"审批提交失败: HTTP {code2}/{code3}"
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def add_pr_label(token, repo, pr_number, label):
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"""给PR添加标签"""
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data, code = api_request(
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token,
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repo,
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f"issues/{pr_number}/labels",
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method="POST",
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data={"labels": [label]},
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)
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return code in (200, 201)
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def merge_pr(token, repo, pr_number):
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"""合并PR(squash merge)"""
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# 等待几秒让状态同步
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time.sleep(30)
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# 检查PR状态
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pr_data, code = api_request(token, repo, f"pulls/{pr_number}")
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if code != 200:
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return False, f"获取PR状态失败: HTTP {code}"
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if pr_data.get("state") != "open":
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return False, f"PR状态不是open: {pr_data.get('state')}"
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# 执行squash merge
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data, code = api_request(
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token,
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repo,
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f"pulls/{pr_number}/merge",
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method="POST",
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data={
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"do": "squash",
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"merge_title_field": "",
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"merge_message_field": "",
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"delete_branch_after_merge": True,
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"force_merge": False,
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},
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)
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if code == 200:
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return True, "合并成功"
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elif code == 405:
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return False, "合并返回405(门禁未满足或冲突)"
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else:
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return False, f"合并失败: HTTP {code}"
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def main():
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parser = argparse.ArgumentParser(description="PR自动扫描器")
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parser.add_argument("--token", required=True, help="Gitea API token")
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parser.add_argument("--repo", default="xiaoxia/xiaoxia-saas", help="仓库")
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parser.add_argument("--base", default="develop", help="目标分支")
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parser.add_argument("--approve", action="store_true", help="执行自动审批")
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parser.add_argument("--merge", action="store_true", help="执行自动合并")
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parser.add_argument("--dry-run", default="false", help="试运行模式")
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parser.add_argument("--max-prs", type=int, default=20, help="最多处理的PR数")
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parser.add_argument("--skip-ai-review", action="store_true", help="跳过AI审查检查(强制审批)")
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args = parser.parse_args()
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dry_run = args.dry_run.lower() == "true"
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# required contexts(与分支保护一致)
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REQUIRED_CONTEXTS_FULL = [
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"CI/CD Pipeline / Validate - Code Quality (pull_request)",
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"CI/CD Pipeline / Validate - Type Check (mypy) (pull_request)",
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"CI/CD Pipeline / Validate - Migration (alembic) (pull_request)",
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"CI/CD Pipeline / Frontend Lint (pull_request)",
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"CI/CD Pipeline / PR Build API Image (pull_request)",
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"CI/CD Pipeline / PR Build Worker Image (pull_request)",
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"CI/CD Pipeline / PR Build Web Image (pull_request)",
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]
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REQUIRED_CONTEXTS_APPROVE = [
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"CI/CD Pipeline / Validate - Code Quality (pull_request)",
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"CI/CD Pipeline / Validate - Type Check (mypy) (pull_request)",
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"CI/CD Pipeline / Validate - Migration (alembic) (pull_request)",
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"CI/CD Pipeline / Frontend Lint (pull_request)",
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]
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FRONTEND_ONLY_CONTEXT = [
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"CI/CD Pipeline / Frontend Lint (pull_request)",
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]
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# 获取所有open PR
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print(f"获取 {args.base} 分支的open PR...")
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prs = get_open_prs(args.token, args.repo, args.base)
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print(f"找到 {len(prs)} 个open PR")
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approved_count = 0
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merged_count = 0
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skipped_count = 0
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ai_blocked_count = 0
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for pr in prs[: args.max_prs]:
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pr_num = pr["number"]
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pr_title = pr["title"]
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head_sha = pr["head"]["sha"]
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base_ref = pr.get("base", {}).get("re", "")
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# 跳过draft
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if pr.get("draft"):
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print(f"\n⏭️ #{pr_num} {pr_title[:50]} - draft,跳过")
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skipped_count += 1
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continue
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# 跳过目标分支不对的
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if base_ref != args.base:
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skipped_count += 1
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continue
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print(f"\n--- #{pr_num} {pr_title[:60]} ---")
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# 判断是否纯前端
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files = get_pr_files(args.token, args.repo, pr_num)
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frontend_only = is_frontend_only(files)
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if frontend_only:
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approve_contexts = FRONTEND_ONLY_CONTEXT
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merge_contexts = FRONTEND_ONLY_CONTEXT
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print(f" 类型: 纯前端改动 ({len(files)}个文件)")
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else:
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approve_contexts = REQUIRED_CONTEXTS_APPROVE
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merge_contexts = REQUIRED_CONTEXTS_FULL
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print(f" 类型: 全栈/后端改动 ({len(files)}个文件)")
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# 检查审批用的CI状态
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all_ok, pending, failed, _ = check_required_contexts(args.token, args.repo, head_sha, approve_contexts)
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# === AI审查检查 ===
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ai_has_critical = False
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if not args.skip_ai_review and all_ok and not failed and args.approve:
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ai_has_critical, ai_body = get_ai_review_result(args.token, args.repo, pr_num)
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if ai_has_critical:
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print(" ⚠️ AI审查发现严重问题,阻止自动审批")
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ai_blocked_count += 1
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# 给PR打标签便于人工识别
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if not dry_run:
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add_pr_label(args.token, args.repo, pr_num, "ai-review/需修改")
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# === 自动审批 ===
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if args.approve and all_ok and not failed and not ai_has_critical:
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if has_approval(args.token, args.repo, pr_num):
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print(" ✅ 已有审批,跳过")
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else:
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if dry_run:
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print(" 🎯 [DRY-RUN] 将自动审批")
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else:
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print(" 🎯 执行自动审批...")
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ok, msg = approve_pr(args.token, args.repo, pr_num)
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if ok:
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print(f" ✅ 审批成功: {msg}")
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approved_count += 1
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else:
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print(f" ❌ 审批失败: {msg}")
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elif ai_has_critical:
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print(" 🚫 AI审查阻止审批(人工可手动审批覆盖)")
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elif failed:
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print(" ❌ CI有失败项,跳过审批")
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elif pending:
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print(" ⏳ CI仍在运行,跳过")
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# === 自动合并 ===
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if args.merge:
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# 检查合并用的CI状态
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merge_ok, merge_pending, merge_failed, _ = check_required_contexts(
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args.token, args.repo, head_sha, merge_contexts
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)
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# 检查审批
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approved = has_approval(args.token, args.repo, pr_num)
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if merge_ok and approved and not merge_failed:
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if dry_run:
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print(" 🎯 [DRY-RUN] 将自动合并")
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else:
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print(" 🎯 执行自动合并...")
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ok, msg = merge_pr(args.token, args.repo, pr_num)
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if ok:
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print(f" ✅ 合并成功: {msg}")
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merged_count += 1
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else:
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print(f" ⚠️ 合并失败: {msg}")
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elif merge_pending:
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print(" ⏳ 合并条件未满足: CI运行中")
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elif merge_failed:
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print(" ❌ 合并条件未满足: CI有失败")
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elif not approved:
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print(" ⏳ 合并条件未满足: 无审批")
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print("\n=== 扫描结果 ===")
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print(f" 处理PR数: {min(len(prs), args.max_prs)}")
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print(f" 自动审批: {approved_count} 个")
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print(f" 自动合并: {merged_count} 个")
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print(f" AI审查阻止: {ai_blocked_count} 个")
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print(f" 跳过: {skipped_count} 个")
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print(" 模式: {'DRY-RUN' if dry_run else '正式执行'}")
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if __name__ == "__main__":
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main()
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Reference in New Issue
Block a user