放下 - WWW.YOUINFO.SITE - WWW.YOUINFO.SITE

v2ex · 2026-06-10 16:43:25+08:00 · tech

书接上回： https://www.v2ex.com/t/1218755#reply0 首先跟兄弟们道个歉，因为发现还是感情贴热度高，没法，蹭蹭热度.感谢，祝大家早日财务自由！前两天闲来无事做了一个项目，初衷和目的上一章都有，可能就是觉得不甘心吧.期间也认识了一些新的人接触一些新的知识. 还是觉得 ai 是用来更好的服务人民的，我这个如果开源了，旅游业会发展跟快一点.起码不是跟我左右到处碰壁.万一有人真成了，街头店家都可以用，收外国的钱.我感觉这个意义更好.希望如果有人做起来也挺好的.也不知道行不行. 以下是代码的一些内容，有用的自取，感谢. 架构 Vercel Fluid Compute 单函数入口 │ ▼ api/ index.py → app/ init .py (Flask app factory) │ ├── Session: Flask session cookie, HTTPOnly, SameSite=Lax ├── 存储: Upstash Redis REST API → 内存 dict fallback ├── AI: DeepSeek API (deepseek-chat) ├── 前端: Jinja2 模板 + Tailwind CDN + Vanilla JS │ └── 8 个 Blueprint: translate /api/translate, /api/export-* auth /api/auth/ , /login, /logout merchant /api/merchant/ gmb /api/gmb/* (Google OAuth) payment /api/payment/* (支付诊断) psb /api/psb/* (MRZ + 机构查询) beta /api/health, /api/admin/* guide /api/guide/checklist 源代码 api/ index.py — Vercel 入口 from app import create_app app = create_app() app/ init.py — Flask 工厂 import os from flask import Flask from dotenv import load_dotenv load_dotenv(".env.local", override=False) load_dotenv(".env", override=False) def create_app(): app = Flask( name , template_folder="templates") app.secret_key = os.getenv("SESSION_SECRET", os.urandom(24).hex()) app.config["SESSION_COOKIE_HTTPONLY"] = True app.config["SESSION_COOKIE_SAMESITE"] = "Lax" from app.translate import translate_bp from app.auth import auth_bp from app.merchant import merchant_bp from app.gmb import gmb_bp from app.payment import payment_bp from app.psb import psb_bp from app.beta import beta_bp from app.guide import guide_bp app.register_blueprint(translate_bp) app.register_blueprint(auth_bp) app.register_blueprint(merchant_bp) app.register_blueprint(gmb_bp) app.register_blueprint(payment_bp) app.register_blueprint(psb_bp) app.register_blueprint(beta_bp) app.register_blueprint(guide_bp) @app.route("/") def index(): from flask import render_template return render_template("index.html") @app.route("/dashboard") def dashboard(): from flask import render_template return render_template("dashboard.html") @app.route("/tripadvisor") def tripadvisor_guide(): from flask import render_template return render_template("tripadvisor_guide.html") @app.route("/psb") def psb_guide(): from flask import render_template return render_template("psb_guide.html") @app.route("/gmb/guide") def gmb_guide(): from flask import render_template return render_template("gmb_guide.html") @app.route("/health") def health(): from flask import redirect return redirect("/api/health") return app app/ kv_client.py — 存储抽象层 import os, json, time, threading from urllib.request import Request, urlopen def _strip_env(val): v = val.strip() if v and ord(v[0]) == 0xFEFF: # 去除 Upstash URL 的 BOM 前缀 v = v[1:] return v _REST_URL = _strip_env(os.getenv("UPSTASH_REDIS_REST_URL", "")) _REST_TOKEN = _strip_env(os.getenv("UPSTASH_REDIS_REST_TOKEN", "")) _REDIS_OK = None _MEMORY_STORE = {} _MEMORY_LOCK = threading.Lock() def _redis_cmd(*args): if not (_REST_URL and _REST_TOKEN): return None try: body = json.dumps(args).encode("utf-8") req = Request(_REST_URL, data=body, headers={ "Content-Type": "application/json", "Authorization": f"Bearer {_REST_TOKEN}", }) with urlopen(req, timeout=5) as r: resp = json.loads(r.read().decode("utf-8")) _REDIS_OK = True # FIXME: global mutable return resp.get("result") except Exception: _REDIS_OK = False return None 公开 API — Redis 优先，内存 fallback def redis_get(key): if _REST_URL and _REST_TOKEN: result = _redis_cmd("GET", key) if result is not None or _REDIS_OK: return result with _MEMORY_LOCK: entry = _MEMORY_STORE.get(key) if entry and entry.get("exp") and time.time() > ent del _MEMORY_STORE[key] return None return entry.get("val") if entry else None def redis_set(key, value, ex=None): if _REST_URL and _REST_TOKEN: if ex: result = _redis_cmd("SET", key, str(value), "EX", str(ex)) else: result = _redis_cmd("SET", key, str(value)) if result is not None or _REDIS_OK: return result with _MEMORY_LOCK: entry = {"val": str(value)} if ex: entry["exp"] = time.time() + int(ex) _MEMORY_STORE[key] = entry return True def redis_incr(key): if _REST_URL and _REST_TOKEN: result = _redis_cmd("INCR", key) if result is not None: return result with _MEMORY_LOCK: val = redis_get(key) new_val = (int(val) + 1) if val is not None else 1 _MEMORY_STORE[key] = {"val": str(new_val)} return new_val def redis_del(key): if _REST_URL and _REST_TOKEN: _redis_cmd("DEL", key) with _MEMORY_LOCK: _MEMORY_STORE.pop(key, None) def redis_keys(pattern): if _REST_URL and _REST_TOKEN: keys, cursor = [], "0" while True: result = _redis_cmd("SCAN", cursor, "MATCH", pattern, "COUNT", "200") if not isinstance(result, list) or len(result) < 2: return [] cursor = str(result[0]) if result[0] is not None else "0" keys.extend(result[1] if isinstance(result[1], list) else []) if cursor == "0": break return keys import re escaped = re.escape(pattern).replace(r"*", ".*") compiled = re.compile("^" + escaped + "$") with _MEMORY_LOCK: return [k for k in _MEMORY_STORE if compiled.match(k)] def is_redis_available(): if _REST_URL and _REST_TOKEN: return _redis_cmd("PING") == "PONG" return False app/ translate.py — AI 翻译（核心） import os, json, sys from urllib.request import Request, urlopen from urllib.error import URLError from flask import Blueprint, request, jsonify, session from app.rate_limit import rate_limit from app.auth import login_required from app.constants import HISTORY_MAX_ENTRIES, HISTORY_TTL translate_bp = Blueprint("translate", name ) PROMPTS = { "menu": { "en": "You are a professional restaurant menu translator. Translate Chinese menu items into natural, appetizing English...", "ja": "あなたはプロの料理メニュー翻訳者です...", "ko": "당신은 전문 레스토랑 메뉴 번역가입니다...", "ru": "Вы профессиональный переводчик меню ресторанов...", }, "checkin_guide": { ... }, "room_card": { ... }, "reg_card": { ... }, "emergency_card": { ... }, } LANGUAGES = [ {"code": "en", "label": "English", "flag": "🇬🇧"}, {"code": "ja", "label": "日本語", "flag": "🇯🇵"}, {"code": "ko", "label": "한국어", "flag": "🇰🇷"}, {"code": "ru", "label": "Русский", "flag": "🇷🇺"}, ] @ translate_bp .route("/api/translate", methods=["POST"]) @ rate_limit ("translate", identifier_fn=lambda: session.get("user_id", "anon")) def translate(): data = request.get_json() source_text = data.get("sourceText", "") material_type = data.get("materialType", "") target_lang = data.get("targetLang", "") api_key = os.getenv("DEEPSEEK_API_KEY", "").strip() system_prompt = PROMPTS.get(material_type, {}).get(target_lang, "") req_body = json.dumps({ "model": "deepseek-chat", "messages": [ {"role": "system", "content": system_prompt}, {"role": "user", "content": source_text}, ], "temperature": 0.3, "max_tokens": 4096, }).encode("utf-8") req = Request("https://api.deepseek.com/v1/chat/completions", data=req_body, headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}) with urlopen(req, timeout=30) as r: body = json.loads(r.read().decode("utf-8")) translated = body["choices"][0]["message"]["content"]

[情感问题] 深爱多年的，今天终于放下.

v2ex · 2026-06-10 16:30:50+08:00 · tech

书接上回： https://www.v2ex.com/t/1218755#reply0 首先跟兄弟们道个歉，因为发现还是感情贴热度高，没法，蹭蹭热度.感谢，祝大家早日财务自由！前两天闲来无事做了一个项目，初衷和目的上一章都有，可能就是觉得不甘心吧.期间也认识了一些新的人接触一些新的知识. 还是觉得 ai 是用来更好的服务人民的，我这个如果开源了，旅游业会发展跟快一点.起码不是跟我左右到处碰壁.万一有人真成了，街头店家都可以用，收外国的钱.我感觉这个意义更好.希望如果有人做起来也挺好的.也不知道行不行. 以下是代码的一些内容，有用的自取，感谢. 架构 Vercel Fluid Compute 单函数入口 │ ▼ api/ index.py → app/ init .py (Flask app factory) │ ├── Session: Flask session cookie, HTTPOnly, SameSite=Lax ├── 存储: Upstash Redis REST API → 内存 dict fallback ├── AI: DeepSeek API (deepseek-chat) ├── 前端: Jinja2 模板 + Tailwind CDN + Vanilla JS │ └── 8 个 Blueprint: translate /api/translate, /api/export-* auth /api/auth/ , /login, /logout merchant /api/merchant/ gmb /api/gmb/* (Google OAuth) payment /api/payment/* (支付诊断) psb /api/psb/* (MRZ + 机构查询) beta /api/health, /api/admin/* guide /api/guide/checklist 源代码 api/ index.py — Vercel 入口 from app import create_app app = create_app() app/ init.py — Flask 工厂 import os from flask import Flask from dotenv import load_dotenv load_dotenv(".env.local", override=False) load_dotenv(".env", override=False) def create_app(): app = Flask( name , template_folder="templates") app.secret_key = os.getenv("SESSION_SECRET", os.urandom(24).hex()) app.config["SESSION_COOKIE_HTTPONLY"] = True app.config["SESSION_COOKIE_SAMESITE"] = "Lax" from app.translate import translate_bp from app.auth import auth_bp from app.merchant import merchant_bp from app.gmb import gmb_bp from app.payment import payment_bp from app.psb import psb_bp from app.beta import beta_bp from app.guide import guide_bp app.register_blueprint(translate_bp) app.register_blueprint(auth_bp) app.register_blueprint(merchant_bp) app.register_blueprint(gmb_bp) app.register_blueprint(payment_bp) app.register_blueprint(psb_bp) app.register_blueprint(beta_bp) app.register_blueprint(guide_bp) @app.route("/") def index(): from flask import render_template return render_template("index.html") @app.route("/dashboard") def dashboard(): from flask import render_template return render_template("dashboard.html") @app.route("/tripadvisor") def tripadvisor_guide(): from flask import render_template return render_template("tripadvisor_guide.html") @app.route("/psb") def psb_guide(): from flask import render_template return render_template("psb_guide.html") @app.route("/gmb/guide") def gmb_guide(): from flask import render_template return render_template("gmb_guide.html") @app.route("/health") def health(): from flask import redirect return redirect("/api/health") return app app/ kv_client.py — 存储抽象层 import os, json, time, threading from urllib.request import Request, urlopen def _strip_env(val): v = val.strip() if v and ord(v[0]) == 0xFEFF: # 去除 Upstash URL 的 BOM 前缀 v = v[1:] return v _REST_URL = _strip_env(os.getenv("UPSTASH_REDIS_REST_URL", "")) _REST_TOKEN = _strip_env(os.getenv("UPSTASH_REDIS_REST_TOKEN", "")) _REDIS_OK = None _MEMORY_STORE = {} _MEMORY_LOCK = threading.Lock() def _redis_cmd(*args): if not (_REST_URL and _REST_TOKEN): return None try: body = json.dumps(args).encode("utf-8") req = Request(_REST_URL, data=body, headers={ "Content-Type": "application/json", "Authorization": f"Bearer {_REST_TOKEN}", }) with urlopen(req, timeout=5) as r: resp = json.loads(r.read().decode("utf-8")) _REDIS_OK = True # FIXME: global mutable return resp.get("result") except Exception: _REDIS_OK = False return None 公开 API — Redis 优先，内存 fallback def redis_get(key): if _REST_URL and _REST_TOKEN: result = _redis_cmd("GET", key) if result is not None or _REDIS_OK: return result with _MEMORY_LOCK: entry = _MEMORY_STORE.get(key) if entry and entry.get("exp") and time.time() > ent del _MEMORY_STORE[key] return None return entry.get("val") if entry else None def redis_set(key, value, ex=None): if _REST_URL and _REST_TOKEN: if ex: result = _redis_cmd("SET", key, str(value), "EX", str(ex)) else: result = _redis_cmd("SET", key, str(value)) if result is not None or _REDIS_OK: return result with _MEMORY_LOCK: entry = {"val": str(value)} if ex: entry["exp"] = time.time() + int(ex) _MEMORY_STORE[key] = entry return True def redis_incr(key): if _REST_URL and _REST_TOKEN: result = _redis_cmd("INCR", key) if result is not None: return result with _MEMORY_LOCK: val = redis_get(key) new_val = (int(val) + 1) if val is not None else 1 _MEMORY_STORE[key] = {"val": str(new_val)} return new_val def redis_del(key): if _REST_URL and _REST_TOKEN: _redis_cmd("DEL", key) with _MEMORY_LOCK: _MEMORY_STORE.pop(key, None) def redis_keys(pattern): if _REST_URL and _REST_TOKEN: keys, cursor = [], "0" while True: result = _redis_cmd("SCAN", cursor, "MATCH", pattern, "COUNT", "200") if not isinstance(result, list) or len(result) < 2: return [] cursor = str(result[0]) if result[0] is not None else "0" keys.extend(result[1] if isinstance(result[1], list) else []) if cursor == "0": break return keys import re escaped = re.escape(pattern).replace(r"*", ".*") compiled = re.compile("^" + escaped + "$") with _MEMORY_LOCK: return [k for k in _MEMORY_STORE if compiled.match(k)] def is_redis_available(): if _REST_URL and _REST_TOKEN: return _redis_cmd("PING") == "PONG" return False app/ translate.py — AI 翻译（核心） import os, json, sys from urllib.request import Request, urlopen from urllib.error import URLError from flask import Blueprint, request, jsonify, session from app.rate_limit import rate_limit from app.auth import login_required from app.constants import HISTORY_MAX_ENTRIES, HISTORY_TTL translate_bp = Blueprint("translate", name ) PROMPTS = { "menu": { "en": "You are a professional restaurant menu translator. Translate Chinese menu items into natural, appetizing English...", "ja": "あなたはプロの料理メニュー翻訳者です...", "ko": "당신은 전문 레스토랑 메뉴 번역가입니다...", "ru": "Вы профессиональный переводчик меню ресторанов...", }, "checkin_guide": { ... }, "room_card": { ... }, "reg_card": { ... }, "emergency_card": { ... }, } LANGUAGES = [ {"code": "en", "label": "English", "flag": "🇬🇧"}, {"code": "ja", "label": "日本語", "flag": "🇯🇵"}, {"code": "ko", "label": "한국어", "flag": "🇰🇷"}, {"code": "ru", "label": "Русский", "flag": "🇷🇺"}, ] @ translate_bp .route("/api/translate", methods=["POST"]) @ rate_limit ("translate", identifier_fn=lambda: session.get("user_id", "anon")) def translate(): data = request.get_json() source_text = data.get("sourceText", "") material_type = data.get("materialType", "") target_lang = data.get("targetLang", "") api_key = os.getenv("DEEPSEEK_API_KEY", "").strip() system_prompt = PROMPTS.get(material_type, {}).get(target_lang, "") req_body = json.dumps({ "model": "deepseek-chat", "messages": [ {"role": "system", "content": system_prompt}, {"role": "user", "content": source_text}, ], "temperature": 0.3, "max_tokens": 4096, }).encode("utf-8") req = Request("https://api.deepseek.com/v1/chat/completions", data=req_body, headers={"Content-Type": "application/json", "Authorization": f"Bearer {api_key}"}) with urlopen(req, timeout=30) as r: body = json.loads(r.read().decode("utf-8")) translated = body["choices"][0]["message"]["content"]

微软发布智能终端 0.1 版本：自动检测 Shell 命令错误，现已开放下载

IT之家 · 2026-06-03 01:36:48+08:00 · tech

IT之家 6 月 3 日消息，微软在 Build 2026 开发者大会上宣布推出全新的智能终端（Intelligent Terminal）。这是一款基于 Windows Terminal 的开源实验性分支，现已通过微软商店和 WinGet 开放下载。该终端将 AI 编程能力直接集成到命令行环境中（默认使用 GitHub Copilot CLI），同时也支持所有遵循 Agent Client Protocol（ACP）协议的 AI 智能体。其核心交互界面是一个可停靠的 Agent 窗格。该窗格能够感知当前 Shell 的输出上下文。当用户输入的命令执行失败时，终端会自动检测错误，并在状态栏上显示一个指示图标。用户点击该图标或按下 Ctrl+Alt+.即可打开已加载错误上下文的 Agent 窗格。微软官方描述道：“智能体可以为你解释发生了什么，并建议或运行最佳修复方案。你可以在设置中配置 Intelligent Terminal 仅自动检测错误，或同时自动建议修复。” 如图所示，智能体状态栏默认位于窗口底部，左侧包含显示 / 隐藏智能体窗格的切换按钮以及错误检测图标，右侧则是智能体管理图标。通过智能体管理面板（可随时按 Ctrl+Shift+/打开），用户可以查看所有活跃智能体及其当前状态，以及可回溯的历史会话。此外，命令面板也提供了另一种快速启动智能体任务的入口：输入? 后跟提示或任务，终端会将当前窗格的上下文注入并在后台标签页中启动智能体，从而不阻塞当前 Shell 操作。 Intelligent Terminal 版本 0.1 目前已在微软商店上架，用户也可通过执行 winget install Microsoft.IntelligentTerminal 进行安装。该应用可与现有 Windows Terminal 并存安装，不会影响主线 Terminal 的体验。微软同时宣布，在此版本发布后，将弃用 Canary 通道中的 Terminal Chat 功能。所有配置均通过 Terminal 设置中的“Agent”部分完成，包括选择智能体和模型、调整窗格位置（上、下、左、右）以及设定自动错误检测的行为。 IT之家附微软商店官方地址： https://apps.microsoft.com/detail/9nmqc2ssjx24 ?hl=zh-CN&gl=CN

求助，如何把NotebookLM做的PPT转化成可编辑的或者其他AI推荐

LinuxDo 最新话题 · 2026-05-29 22:16:12+08:00 · tech

放下Gemini好久了，最近要做PPT试了几个AI都不太理想，又想起了NotebookLM，一试甚合我意。但有些内容想要编辑调整，佬友们现在有什么好办法吗？另外如果没有，有没有其他合适的AI制作PPT呀？求助求助补充，是做会展文案类的，所以对设计、审美有比较高的要求。 4 个帖子 - 3 位参与者阅读完整话题

暗恋十年的女生怎么放下

LinuxDo 最新话题 · 2026-05-29 11:39:55+08:00 · tech

小学还是初中的事，当时还不知道是啥感情，本人也比较自卑拧巴，只是感觉很聊得来，身边人有调侃我们的，我就立马否认，甚至做了很多蠢事。现在回过头发现那或许就是喜欢，也许是更纯粹的感情？可以说是白月光了。由于联系方式只有qq,后面上学分开了就没联系了，现在经常闪回会想到她，还偷偷视奸qq空间想知道她近况。明明两个人已经十几年没说过话了，她估计早忘了，我却还记忆深刻，不知道怀念的是她还是小时候那段只用跟好朋友聊天的时光。跟她已无可能，开启下一段感情的话又感觉怀着对她的感情谈新恋爱，又对下一任不负责，难道就这样了吗。。 54 个帖子 - 48 位参与者阅读完整话题

求助！弱电箱太小，如何搭配光猫和路由器

LinuxDo 最新话题 · 2026-05-27 14:08:22+08:00 · tech

佬友们，家里的弱电箱体积太小，无法同时放下光猫和路由器。请问，如何搭配？我暂时的想法是，弱电箱里搭配光猫和POEAC一体机，用一体机进行拨号连接，单独留出一根网线，把路由器放在客厅，同时一体机上接网线通向各个房间。请问，佬们有没有更好的方案？ 4 个帖子 - 4 位参与者阅读完整话题

[问与答] 小桌面有啥值得买的音箱？ n300？ mr4 r1700 感觉都挺大个的。

v2ex · 2026-05-22 15:56:26+08:00 · tech