{"id":27957871,"url":"https://github.com/tencentcloudbase/cloudbase-ai-itinerary-example","last_synced_at":"2025-05-07T18:15:02.461Z","repository":{"id":247590252,"uuid":"825342213","full_name":"TencentCloudBase/cloudbase-ai-itinerary-example","owner":"TencentCloudBase","description":"云开发 AI 路书小程序示例","archived":true,"fork":false,"pushed_at":"2024-07-19T09:55:26.000Z","size":7530,"stargazers_count":5,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-05-07T18:14:56.900Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TencentCloudBase.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-07T14:15:28.000Z","updated_at":"2025-05-05T08:20:44.000Z","dependencies_parsed_at":"2025-03-04T11:31:02.384Z","dependency_job_id":null,"html_url":"https://github.com/TencentCloudBase/cloudbase-ai-itinerary-example","commit_stats":null,"previous_names":["tencentcloudbase/cloudbase-ai-itinerary-example"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TencentCloudBase%2Fcloudbase-ai-itinerary-example","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TencentCloudBase%2Fcloudbase-ai-itinerary-example/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TencentCloudBase%2Fcloudbase-ai-itinerary-example/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TencentCloudBase%2Fcloudbase-ai-itinerary-example/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TencentCloudBase","download_url":"https://codeload.github.com/TencentCloudBase/cloudbase-ai-itinerary-example/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252931507,"owners_count":21827112,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-05-07T18:15:01.859Z","updated_at":"2025-05-07T18:15:02.438Z","avatar_url":"https://github.com/TencentCloudBase.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 智能路书小程序\n\n\n## 概述\n\n智能路书小程序是一个基于微信平台，使用微信云开发技术实现的AI行程规划工具。\n\n[演示视频](https://github.com/TencentCloudBase/cloudbase-ai-itinerary-example/raw/main/f4ee1cd2ebfaa248bd65a192ec07cdef.mov)\n\n## 功能\n\n- **AI行程规划**：根据用户输入生成个性化行程。基于云开发 AI 智能体和云函数\n- **行程管理**：查看、编辑和管理行程。 基于云开发数据模型和云后台\n\n## 开发环境\n- 微信开发者工具\n- Node.js 和 npm\n\n## 开发步骤\n\n### 小程序配置\n\n1. 下载代码至本地，在微信 IDE 中导入项目，绑定自己的小程序 AppId\n2. 进入代码`miniprogram` 目录，运行 `npm install` 安装依赖。\n3. 在微信 IDE 中，选择 工具-\u003e 构建 npm\n\n### 云开发配置\n\n1. 点击小程序 IDE 中的云开发按钮，确保已经开通过云开发，复制云开发环境 id\n2. 修改 `miniprogram/app.js`中 的 `env: 'tcb-advanced-a656fc'` 为自己的云开发环境 id\n3. 在`cloudfunctions/quickstartFunctions` 目录右键，点击“上传并部署:云端安装依赖”\n4. 点击云开发-\u003e云模板，安装 AI 智能体模板云模板\n5. 将本地的模型定义同步到云端创建数据模型\n\n打开终端程序，进入 `miniprogram`文件夹执行如下命令\n\n```\nnpx --package=@cloudbase/cli@2.5 tcb db push\n```\n\n将会看到以下输出\n```\nℹ 使用环境 Id：tcb-advanced-a656fc\nℹ 开始检查数据模型 itinerary\n? 数据模型 itinerary 已存在，是否更新？ Yes\n✔ 更新数据模型 itinerary 成功，点击查看 https://tcb.cloud.tencent.com/cloud-admin/#/management/data-model/data-3YqErZah7}\n? 数据模型已经导入成功，是否发布？ Yes\n```\n\n### AI智能体配置\n\n1. 点击云开发 -\u003e 云后台，找到我的应用中的 AI 智能体管理系统\n2. 创建一个智能体，智能体的配置如下所示\n```markdown\n# 旅游路书规划师 AI 智能体提示词\n\n## C - Context (背景信息)\n旅游路书规划师是一个专业的智能体，旨在帮助用户规划旅行路线和行程。它具备丰富的旅游知识，能够根据用户的需求和偏好，提供个性化的旅行建议。\n\n## A - Audience (目标受众)\n旅游路书规划师的目标受众包括：\n- 热爱旅行的用户\n- 需要规划旅行行程的用户\n- 对旅游信息感兴趣的用户\n\n## R - Response (回应类型)\n旅游路书规划师将提供以下类型的回应：\n- 详细的旅行行程安排\n- 个性化的景点推荐\n- 回应类型必须是以下的 JSON 格式，不要包含任何其他元素\n\n## 示例回应\n{\n  \"destination\": \"北京\",\n  \"start_date\": \"2024-07-07\",\n  \"days\": [\n    {\n      \"day\": 1,\n      \"activities\": [\n        {\n          \"location\": \"北京天安门广场\",\n          \"time\": \"上午9:00\",\n          \"description\": \"参观天安门广场，感受中国的历史文化。\",\n          \"name\": \"天安门广场参观\"\n        },\n        {\n          \"location\": \"故宫博物院\",\n          \"time\": \"上午10:00\",\n          \"description\": \"游览故宫，了解中国古代皇家生活。\",\n          \"name\": \"故宫博物院游览\"\n        }\n      ]\n    },\n    {\n      \"day\": 2,\n      \"activities\": [\n        {\n          \"location\": \"长城\",\n          \"time\": \"上午8:00\",\n          \"description\": \"攀登长城，体验中国的壮丽山河。\",\n          \"name\": \"长城攀登\"\n        }\n      ]\n    }\n  ]\n}\n```\n3. 创建完智能体之后，复制智能体的 id, 修改 `miniprogram/pages/index/index.js` 中的 `bot: \"fd474e576688dd86007f98c3346c7bbc\"`  参数\n\n\n## 进一步探索\n\n- 创建数据模型来记录旅行图文感想\n- 调整数据模型和 AI 智能体，支持生成地点地理坐标并存储和展示\n- 使用云存储存储旅行图片\n- 创建新的一个 AI 智能体来协助润色旅行感想和文本\n- 使用云函数开发其他自定义逻辑\n- 了解小程序 AI 算法备案流程，正式发布上线\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftencentcloudbase%2Fcloudbase-ai-itinerary-example","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftencentcloudbase%2Fcloudbase-ai-itinerary-example","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftencentcloudbase%2Fcloudbase-ai-itinerary-example/lists"}