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11 Commits

Author SHA1 Message Date
郑诚 (Cheng Zheng)
de2d83a412 docs: batch add 2 projects 2026-03-24 00:21:42 +08:00
郑诚 (Cheng Zheng)
a06426d446 docs: add file description comment to process_item.py
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提交项目(每 24 小时运行一次,晚上 00:00) / build (push) Has been cancelled
2026-03-23 13:43:07 +08:00
郑诚 (Cheng Zheng)
f5cec1ea05 Merge pull request #790 from 1c7/batch-add-projects-20260323-054041
新增项目:批量添加 2 个项目
2026-03-23 13:41:49 +08:00
郑诚 (Cheng Zheng)
71d4574dc7 docs: batch add 2 projects 2026-03-23 13:40:43 +08:00
郑诚 (Cheng Zheng)
a3a7699ab4 feat: expand project collection to all open issues (body and last 7 days comments) 2026-03-23 13:39:52 +08:00
郑诚 (Cheng Zheng)
d4c2c4f9d5 Merge pull request #787 from 1c7/batch-add-projects-20260320-161525
新增项目:批量添加 1 个项目
2026-03-23 13:28:20 +08:00
郑诚 (Cheng Zheng)
2c7fa289e3 Update README.md 2026-03-23 13:27:30 +08:00
郑诚 (Cheng Zheng)
3ca3cd43c2 Merge pull request #788 from raullenchai/add-rapid-mlx
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添加 Rapid-MLX 到程序员版面
2026-03-22 13:13:37 +08:00
Raullen
57b3d25c0f 添加 Rapid-MLX — Apple Silicon 本地 AI 推理引擎 2026-03-21 14:43:18 -07:00
郑诚 (Cheng Zheng)
ff2918ce56 docs: batch add 1 projects 2026-03-21 00:15:28 +08:00
郑诚 (Cheng Zheng)
0929d713ec Merge pull request #786 from 1c7/batch-add-projects-20260319-162045
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新增项目:批量添加 1 个项目
2026-03-20 22:14:19 +08:00
3 changed files with 127 additions and 63 deletions

View File

@@ -1,3 +1,4 @@
# 自动扫描 GitHub Issues 中被标记为 🚀 的项目提交,通过 AI 格式化后批量添加到 README 并创建 Pull Request。
import os
import re
import datetime
@@ -79,62 +80,92 @@ def get_ai_project_line(raw_text):
)
return response.choices[0].message.content.strip()
def check_reactions(item):
"""检查对象Issue 或 IssueComment是否有触发表情且没有成功标记"""
reactions = item.get_reactions()
has_trigger = any(r.content == TRIGGER_EMOJI and r.user.login == ADMIN_HANDLE for r in reactions)
has_success = any(r.content == SUCCESS_EMOJI for r in reactions)
return has_trigger, has_success
def main():
# 检查环境变量
check_environment()
g = Github(PAT_TOKEN)
repo = g.get_repo(REPO_NAME)
issue = repo.get_issue(ISSUE_NUMBER)
# ===== 阶段 1收集待处理项 (Issue 160 评论 + 其他 Open Issue) =====
pending_items = [] # 存储 (item_object, parent_issue_object)
# 1.1 处理 Issue 160 的评论 (Legacy)
issue160 = repo.get_issue(ISSUE_NUMBER)
time_threshold = datetime.now(timezone.utc) - timedelta(days=3)
comments = issue.get_comments(since=time_threshold)
comments160 = issue160.get_comments(since=time_threshold)
for comment in comments160:
has_t, has_s = check_reactions(comment)
if has_t and not has_s:
pending_items.append((comment, issue160))
# ===== 阶段 1收集待处理评论 =====
pending_comments = []
formatted_entries = []
# 1.2 扫描所有其他 Open Issue
open_issues = repo.get_issues(state='open')
comment_time_threshold = datetime.now(timezone.utc) - timedelta(days=7)
for issue in open_issues:
if issue.number == ISSUE_NUMBER:
continue
# 1. 检查 Issue Body
has_t, has_s = check_reactions(issue)
if has_t and not has_s:
pending_items.append((issue, issue))
# 2. 检查最近 7 天的所有评论
comments = issue.get_comments(since=comment_time_threshold)
for comment in comments:
has_t, has_s = check_reactions(comment)
if has_t and not has_s:
pending_items.append((comment, issue))
for comment in comments:
reactions = comment.get_reactions()
has_trigger = any(r.content == TRIGGER_EMOJI and r.user.login == ADMIN_HANDLE for r in reactions)
has_success = any(r.content == SUCCESS_EMOJI for r in reactions)
if has_trigger and not has_success:
print(f"\n{'='*60}")
print(f"处理评论:\n{comment.body}")
print(f"\n评论链接:{comment.html_url}")
print(f"{'='*60}\n")
cleaned_body = remove_quote_blocks(comment.body)
# 判断用户是否自带了 Header
header_match = re.search(r'^####\s+.*', cleaned_body, re.MULTILINE)
if header_match:
header_line = header_match.group(0).strip()
body_for_ai = cleaned_body.replace(header_line, "").strip()
print(f"检测到用户自带 Header: {header_line}")
else:
author_name = comment.user.login
author_url = comment.user.html_url
header_line = f"#### {author_name} - [Github]({author_url})"
body_for_ai = cleaned_body
print(f"自动生成 Header: {header_line}")
# AI 处理项目详情行
project_line = get_ai_project_line(body_for_ai)
formatted_entry = f"{header_line}\n{project_line}"
pending_comments.append(comment)
formatted_entries.append(formatted_entry)
# ===== 阶段 2批量提交 =====
if not pending_comments:
print("无待处理评论")
if not pending_items:
print("无待处理项")
return
print(f"\n共收集 {len(pending_comments)} 个待处理评论")
print(f"\n共收集 {len(pending_items)} 个待处理")
# ===== 阶段 2格式化和 AI 处理 =====
formatted_entries = []
processed_items = [] # 用于最后标记和回复
for obj, parent in pending_items:
print(f"\n{'='*60}")
print(f"处理项目:来自 {parent.html_url}")
print(f"内容:\n{obj.body[:200]}...")
print(f"{'='*60}\n")
cleaned_body = remove_quote_blocks(obj.body)
# 判断用户是否自带了 Header
header_match = re.search(r'^####\s+.*', cleaned_body, re.MULTILINE)
if header_match:
header_line = header_match.group(0).strip()
body_for_ai = cleaned_body.replace(header_line, "").strip()
print(f"检测到用户自带 Header: {header_line}")
else:
author_name = obj.user.login
author_url = obj.user.html_url
header_line = f"#### {author_name} - [Github]({author_url})"
body_for_ai = cleaned_body
print(f"自动生成 Header: {header_line}")
# AI 处理项目详情行
project_line = get_ai_project_line(body_for_ai)
formatted_entry = f"{header_line}\n{project_line}"
formatted_entries.append(formatted_entry)
processed_items.append((obj, parent, formatted_entry))
# ===== 阶段 3批量提交 =====
# 更新 README
content = repo.get_contents("README.md", ref="master")
readme_text = content.decoded_content.decode("utf-8")
@@ -149,8 +180,8 @@ def main():
# 插入所有条目(用两个换行分隔)
insertion_point = new_readme.find(date_header) + len(date_header)
all_entries = "\n\n".join(formatted_entries)
final_readme = new_readme[:insertion_point] + "\n\n" + all_entries + new_readme[insertion_point:]
all_entries_str = "\n\n".join(formatted_entries)
final_readme = new_readme[:insertion_point] + "\n\n" + all_entries_str + new_readme[insertion_point:]
# 创建分支
branch_name = f"batch-add-projects-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
@@ -164,27 +195,27 @@ def main():
repo.create_git_ref(ref=f"refs/heads/{branch_name}", sha=base.commit.sha)
repo.update_file(
"README.md",
f"docs: batch add {len(pending_comments)} projects",
f"docs: batch add {len(processed_items)} projects",
final_readme,
content.sha,
branch=branch_name
)
# 构建 PR body
comment_links = "\n".join([
f"- [{c.user.login}]({c.html_url})"
for c in pending_comments
item_links = "\n".join([
f"- [{obj.user.login}]({obj.html_url})"
for obj, parent, entry in processed_items
])
formatted_list = "\n\n".join([
f"### {i+1}. {formatted_entries[i]}"
for i in range(len(formatted_entries))
f"### {i+1}. {entry}"
for i, (obj, parent, entry) in enumerate(processed_items)
])
pr_body = f"""批量添加 {len(pending_comments)} 个项目
pr_body = f"""批量添加 {len(processed_items)} 个项目
## 原始评论链接
{comment_links}
## 原始链接
{item_links}
## 格式化结果
{formatted_list}
@@ -194,7 +225,7 @@ def main():
"""
pr = repo.create_pull(
title=f"新增项目:批量添加 {len(pending_comments)} 个项目",
title=f"新增项目:批量添加 {len(processed_items)} 个项目",
body=pr_body,
head=branch_name,
base="master"
@@ -202,16 +233,25 @@ def main():
print(f"\n✅ PR 创建成功:{pr.html_url}")
# 标记所有评论(添加 🎉 表情)
for comment in pending_comments:
comment.create_reaction(SUCCESS_EMOJI)
# ===== 阶段 4标记成功并回复 =====
replies = {} # parent_issue -> set of users
# 创建一条评论提及所有用户
user_mentions = " ".join([f"@{c.user.login}" for c in pending_comments])
reply_body = f"{user_mentions} 感谢提交,已添加!\n\n PR 链接:{pr.html_url}"
issue.create_comment(reply_body)
for obj, parent, entry in processed_items:
# 标记所有条目(添加 🎉 表情)
obj.create_reaction(SUCCESS_EMOJI)
# 收集需要回复的 Issue 和用户
if parent not in replies:
replies[parent] = set()
replies[parent].add(obj.user.login)
print(f"\n✅ 已标记所有 {len(pending_comments)} 个评论")
# 分别在各 Issue 回复
for parent, users in replies.items():
user_mentions = " ".join([f"@{u}" for u in users])
reply_body = f"{user_mentions} 感谢提交,已添加!\n\n PR 链接:{pr.html_url}"
parent.create_comment(reply_body)
print(f"\n✅ 已在 {len(replies)} 个 Issue 中标记并回复")
if __name__ == "__main__":
main()

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@@ -16,6 +16,11 @@ Issue 和 PR 里偶尔有人提交一些不错的东西,但打开一看,不
程序员版开始于 2019 年 4 月 11 号, 主版面开始于 2018 年 3 月
-->
### 2026 年 3 月 21 号添加
#### raullenchai - [Github](https://github.com/raullenchai)
* :white_check_mark: [Rapid-MLX](https://github.com/raullenchai/Rapid-MLX)Apple Silicon 上最快的本地 AI 推理引擎OpenAI API 兼容,比 Ollama 快 2-4 倍,支持 17 种工具调用解析器、推理分离、视觉模型和语音功能
### 2026 年 3 月 10 号添加
#### my19940202(上海) - [Github](https://github.com/my19940202)

View File

@@ -20,6 +20,25 @@
## 3. 项目列表
### 2026 年 3 月 23 号添加
#### Miracle(杭州) - [Github](https://github.com/zhoulianbo)
* :white_check_mark: [ScriptMind](https://scriptmind.co/):提取 YouTube、TikTok、Instagram 视频文案HD视频无水印下载
* :white_check_mark: [漫游中国指南](https://wanderchina.guide/):中国旅游指南,探索地道文化,规划旅程
* :white_check_mark: [ReadMenuAi](https://readmenuai.com/)中文菜单翻译器AI生成菜品图片
#### Moresl - [Github](https://github.com/Moresl)
* :white_check_mark: [SnapImg](https://github.com/Moresl/snapimg):在线图片压缩工具,支持 PNG、JPEG、WebP、AVIF 格式70%+ 压缩率同时保持画质。支持批量压缩、前后效果滑动对比,图片全程纯内存处理,不保存到磁盘,支持 Docker 自部署。
#### aprilcc666 - [Github](https://github.com/aprilcc666)
* :white_check_mark: [WhiteScreen.Space](https://whitescreen.space/):在线全屏白屏工具,用于检测坏点、节省 OLED 屏幕电量、测试显示器以及清洁屏幕
#### stark-ydq - [Github](https://github.com/stark-ydq)
* :white_check_mark: [Voice to Instrument](https://voicetoinstrument.com?utm_source=github&utm_medium=directory&utm_campaign=backlink):在线 AI 工具将人声录音转换为器乐曲目。上传歌声或录音AI 自动生成钢琴、吉他、鼓等器乐伴奏。
#### zx88cvb - [Github](https://github.com/zx88cvb)[博客](https://haydenbi.com/)
* :white_check_mark: [Mydirs](https://mydirs.com):导航站收录产品和工具,吸引流量并建立高质量外部链接
### 2026 年 3 月 19 号添加
#### 小鹿(全国旅居中) - [小红书](https://xhslink.com/m/9njPzLyGqiB)