Phase 1+2: Rename CrowdSight + fix Thai vocabulary
Phase 1: Rename MiroFish → CrowdSight across all files - 39 files, 114+ occurrences replaced - Frontend, backend, locales, config, README, docker-compose Phase 2: Fix difficult Thai vocabulary - เมล็ดพันธุ์แห่งความจริง → ข้อมูลตั้งต้น - สกัดเอนทิตี → ดึงตัวละคร - ฉีดความจำ → เพิ่มความจำ - ออนโทโลยี → โครงสร้างข้อมูล - เอนทิตี → ตัวละคร - พลวัตกลุ่ม → พฤติกรรมกลุ่ม - โลกคู่ขนาน → โลกจำลอง Only string changes, no logic changes.
This commit is contained in:
Kunthawat Greethong
@@ -1,5 +1,5 @@
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# ================================================================
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# MiroFish 环境变量配置
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# CrowdSight 环境变量配置
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# ================================================================
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# 复制此文件为 .env 并填入你的 API 密钥：
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# cp .env.example .env
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2
.github/workflows/docker-image.yml
vendored
2
.github/workflows/docker-image.yml
vendored
@@ -33,7 +33,7 @@ jobs:
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ghcr.io/${{ github.repository_owner }}/mirofish
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images: ghcr.io/${{ github.repository_owner }}/crowdsight
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tags: |
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type=ref,event=tag
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type=sha
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48
README-ZH.md
48
README-ZH.md
@@ -1,24 +1,24 @@
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<div align="center">
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<img src="./static/image/MiroFish_logo_compressed.jpeg" alt="MiroFish Logo" width="75%"/>
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<img src="./static/image/CrowdSight_logo_compressed.jpeg" alt="CrowdSight Logo" width="75%"/>
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<a href="https://trendshift.io/repositories/16144" target="_blank"><img src="https://trendshift.io/api/badge/repositories/16144" alt="666ghj%2FMiroFish | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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<a href="https://trendshift.io/repositories/16144" target="_blank"><img src="https://trendshift.io/api/badge/repositories/16144" alt="666ghj%2FCrowdSight | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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简洁通用的群体智能引擎，预测万物
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</br>
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<em>A Simple and Universal Swarm Intelligence Engine, Predicting Anything</em>
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<a href="https://www.shanda.com/" target="_blank"><img src="./static/image/shanda_logo.png" alt="666ghj%2FMiroFish | Shanda" height="40"/></a>
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<a href="https://www.shanda.com/" target="_blank"><img src="./static/image/shanda_logo.png" alt="666ghj%2FCrowdSight | Shanda" height="40"/></a>
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[](https://github.com/666ghj/MiroFish/stargazers)
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[](https://github.com/666ghj/MiroFish/watchers)
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[](https://github.com/666ghj/MiroFish/network)
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[](https://github.com/666ghj/CrowdSight/stargazers)
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[](https://github.com/666ghj/CrowdSight/watchers)
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[](https://github.com/666ghj/CrowdSight/network)
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[](https://hub.docker.com/)
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[](https://deepwiki.com/666ghj/MiroFish)
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[](https://deepwiki.com/666ghj/CrowdSight)
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[](http://discord.gg/ePf5aPaHnA)
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[](https://x.com/mirofish_ai)
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[](https://www.instagram.com/mirofish_ai/)
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[](https://x.com/crowdsight_ai)
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[](https://www.instagram.com/crowdsight_ai/)
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[English](./README.md) | [中文文档](./README-ZH.md)
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@@ -26,14 +26,14 @@
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## ⚡ 项目概述
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**MiroFish** 是一款基于多智能体技术的新一代 AI 预测引擎。通过提取现实世界的种子信息（如突发新闻、政策草案、金融信号），自动构建出高保真的平行数字世界。在此空间内，成千上万个具备独立人格、长期记忆与行为逻辑的智能体进行自由交互与社会演化。你可透过「上帝视角」动态注入变量，精准推演未来走向——**让未来在数字沙盘中预演，助决策在百战模拟后胜出**。
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**CrowdSight** 是一款基于多智能体技术的新一代 AI 预测引擎。通过提取现实世界的种子信息（如突发新闻、政策草案、金融信号），自动构建出高保真的平行数字世界。在此空间内，成千上万个具备独立人格、长期记忆与行为逻辑的智能体进行自由交互与社会演化。你可透过「上帝视角」动态注入变量，精准推演未来走向——**让未来在数字沙盘中预演，助决策在百战模拟后胜出**。
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> 你只需：上传种子材料（数据分析报告或者有趣的小说故事），并用自然语言描述预测需求</br>
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> MiroFish 将返回：一份详尽的预测报告，以及一个可深度交互的高保真数字世界
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> CrowdSight 将返回：一份详尽的预测报告，以及一个可深度交互的高保真数字世界
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### 我们的愿景
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MiroFish 致力于打造映射现实的群体智能镜像，通过捕捉个体互动引发的群体涌现，突破传统预测的局限：
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CrowdSight 致力于打造映射现实的群体智能镜像，通过捕捉个体互动引发的群体涌现，突破传统预测的局限：
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- **于宏观**：我们是决策者的预演实验室，让政策与公关在零风险中试错
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- **于微观**：我们是个人用户的创意沙盘，无论是推演小说结局还是探索脑洞，皆可有趣、好玩、触手可及
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@@ -42,7 +42,7 @@ MiroFish 致力于打造映射现实的群体智能镜像，通过捕捉个体
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## 🌐 在线体验
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欢迎访问在线 Demo 演示环境，体验我们为你准备的一次关于热点舆情事件的推演预测：[mirofish-live-demo](https://666ghj.github.io/mirofish-demo/)
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欢迎访问在线 Demo 演示环境，体验我们为你准备的一次关于热点舆情事件的推演预测：[crowdsight-live-demo](https://666ghj.github.io/crowdsight-demo/)
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## 📸 系统截图
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@@ -65,10 +65,10 @@ MiroFish 致力于打造映射现实的群体智能镜像，通过捕捉个体
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## 🎬 演示视频
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### 1. 武汉大学舆情推演预测 + MiroFish项目讲解
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### 1. 武汉大学舆情推演预测 + CrowdSight项目讲解
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<div align="center">
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<a href="https://www.bilibili.com/video/BV1VYBsBHEMY/" target="_blank"><img src="./static/image/武大模拟演示封面.png" alt="MiroFish Demo Video" width="75%"/></a>
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<a href="https://www.bilibili.com/video/BV1VYBsBHEMY/" target="_blank"><img src="./static/image/武大模拟演示封面.png" alt="CrowdSight Demo Video" width="75%"/></a>
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点击图片查看使用微舆BettaFish生成的《武大舆情报告》进行预测的完整演示视频
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</div>
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@@ -76,9 +76,9 @@ MiroFish 致力于打造映射现实的群体智能镜像，通过捕捉个体
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### 2. 《红楼梦》失传结局推演预测
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<div align="center">
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<a href="https://www.bilibili.com/video/BV1cPk3BBExq" target="_blank"><img src="./static/image/红楼梦模拟推演封面.jpg" alt="MiroFish Demo Video" width="75%"/></a>
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<a href="https://www.bilibili.com/video/BV1cPk3BBExq" target="_blank"><img src="./static/image/红楼梦模拟推演封面.jpg" alt="CrowdSight Demo Video" width="75%"/></a>
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点击图片查看基于《红楼梦》前80回数十万字，MiroFish深度预测失传结局
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点击图片查看基于《红楼梦》前80回数十万字，CrowdSight深度预测失传结局
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</div>
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> **金融方向推演预测**、**时政要闻推演预测**等示例陆续更新中...
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@@ -215,20 +215,20 @@ docker compose up -d
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MiroFish团队长期招募全职/实习，如果你对多Agent应用感兴趣，欢迎投递简历至：**mirofish@shanda.com**
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CrowdSight团队长期招募全职/实习，如果你对多Agent应用感兴趣，欢迎投递简历至：**crowdsight@shanda.com**
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## 📄 致谢
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**MiroFish 得到了盛大集团的战略支持和孵化！**
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**CrowdSight 得到了盛大集团的战略支持和孵化！**
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MiroFish 的仿真引擎由 **[OASIS](https://github.com/camel-ai/oasis)** 驱动，我们衷心感谢 CAMEL-AI 团队的开源贡献！
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CrowdSight 的仿真引擎由 **[OASIS](https://github.com/camel-ai/oasis)** 驱动，我们衷心感谢 CAMEL-AI 团队的开源贡献！
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## 📈 项目统计
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<a href="https://www.star-history.com/#666ghj/MiroFish&type=date&legend=top-left">
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<a href="https://www.star-history.com/#666ghj/CrowdSight&type=date&legend=top-left">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&theme=dark&legend=top-left" />
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<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&legend=top-left" />
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<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&legend=top-left" />
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=666ghj/CrowdSight&type=date&theme=dark&legend=top-left" />
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<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=666ghj/CrowdSight&type=date&legend=top-left" />
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<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=666ghj/CrowdSight&type=date&legend=top-left" />
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</picture>
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</a>
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48
README.md
48
README.md
@@ -1,24 +1,24 @@
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<div align="center">
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<img src="./static/image/MiroFish_logo_compressed.jpeg" alt="MiroFish Logo" width="75%"/>
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<img src="./static/image/CrowdSight_logo_compressed.jpeg" alt="CrowdSight Logo" width="75%"/>
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<a href="https://trendshift.io/repositories/16144" target="_blank"><img src="https://trendshift.io/api/badge/repositories/16144" alt="666ghj%2FMiroFish | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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<a href="https://trendshift.io/repositories/16144" target="_blank"><img src="https://trendshift.io/api/badge/repositories/16144" alt="666ghj%2FCrowdSight | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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简洁通用的群体智能引擎，预测万物
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</br>
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<em>A Simple and Universal Swarm Intelligence Engine, Predicting Anything</em>
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<a href="https://www.shanda.com/" target="_blank"><img src="./static/image/shanda_logo.png" alt="666ghj%2FMiroFish | Shanda" height="40"/></a>
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<a href="https://www.shanda.com/" target="_blank"><img src="./static/image/shanda_logo.png" alt="666ghj%2FCrowdSight | Shanda" height="40"/></a>
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[](https://github.com/666ghj/MiroFish/stargazers)
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[](https://github.com/666ghj/MiroFish/watchers)
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[](https://github.com/666ghj/MiroFish/network)
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[](https://github.com/666ghj/CrowdSight/stargazers)
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[](https://github.com/666ghj/CrowdSight/watchers)
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[](https://github.com/666ghj/CrowdSight/network)
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[](https://hub.docker.com/)
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[](https://deepwiki.com/666ghj/MiroFish)
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[](https://deepwiki.com/666ghj/CrowdSight)
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[](http://discord.gg/ePf5aPaHnA)
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[](https://x.com/mirofish_ai)
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[](https://www.instagram.com/mirofish_ai/)
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[](https://x.com/crowdsight_ai)
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[](https://www.instagram.com/crowdsight_ai/)
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[English](./README.md) | [中文文档](./README-ZH.md)
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@@ -26,14 +26,14 @@
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## ⚡ Overview
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**MiroFish** is a next-generation AI prediction engine powered by multi-agent technology. By extracting seed information from the real world (such as breaking news, policy drafts, or financial signals), it automatically constructs a high-fidelity parallel digital world. Within this space, thousands of intelligent agents with independent personalities, long-term memory, and behavioral logic freely interact and undergo social evolution. You can inject variables dynamically from a "God's-eye view" to precisely deduce future trajectories — **rehearse the future in a digital sandbox, and win decisions after countless simulations**.
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**CrowdSight** is a next-generation AI prediction engine powered by multi-agent technology. By extracting seed information from the real world (such as breaking news, policy drafts, or financial signals), it automatically constructs a high-fidelity parallel digital world. Within this space, thousands of intelligent agents with independent personalities, long-term memory, and behavioral logic freely interact and undergo social evolution. You can inject variables dynamically from a "God's-eye view" to precisely deduce future trajectories — **rehearse the future in a digital sandbox, and win decisions after countless simulations**.
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> You only need to: Upload seed materials (data analysis reports or interesting novel stories) and describe your prediction requirements in natural language</br>
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> MiroFish will return: A detailed prediction report and a deeply interactive high-fidelity digital world
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> CrowdSight will return: A detailed prediction report and a deeply interactive high-fidelity digital world
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### Our Vision
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MiroFish is dedicated to creating a swarm intelligence mirror that maps reality. By capturing the collective emergence triggered by individual interactions, we break through the limitations of traditional prediction:
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CrowdSight is dedicated to creating a swarm intelligence mirror that maps reality. By capturing the collective emergence triggered by individual interactions, we break through the limitations of traditional prediction:
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- **At the Macro Level**: We are a rehearsal laboratory for decision-makers, allowing policies and public relations to be tested at zero risk
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- **At the Micro Level**: We are a creative sandbox for individual users — whether deducing novel endings or exploring imaginative scenarios, everything can be fun, playful, and accessible
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@@ -42,7 +42,7 @@ From serious predictions to playful simulations, we let every "what if" see its
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## 🌐 Live Demo
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Welcome to visit our online demo environment and experience a prediction simulation on trending public opinion events we've prepared for you: [mirofish-live-demo](https://666ghj.github.io/mirofish-demo/)
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Welcome to visit our online demo environment and experience a prediction simulation on trending public opinion events we've prepared for you: [crowdsight-live-demo](https://666ghj.github.io/crowdsight-demo/)
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## 📸 Screenshots
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@@ -65,10 +65,10 @@ Welcome to visit our online demo environment and experience a prediction simulat
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## 🎬 Demo Videos
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### 1. Wuhan University Public Opinion Simulation + MiroFish Project Introduction
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### 1. Wuhan University Public Opinion Simulation + CrowdSight Project Introduction
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<div align="center">
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<a href="https://www.bilibili.com/video/BV1VYBsBHEMY/" target="_blank"><img src="./static/image/武大模拟演示封面.png" alt="MiroFish Demo Video" width="75%"/></a>
|
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<a href="https://www.bilibili.com/video/BV1VYBsBHEMY/" target="_blank"><img src="./static/image/武大模拟演示封面.png" alt="CrowdSight Demo Video" width="75%"/></a>
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Click the image to watch the complete demo video for prediction using BettaFish-generated "Wuhan University Public Opinion Report"
|
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</div>
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@@ -76,9 +76,9 @@ Click the image to watch the complete demo video for prediction using BettaFish-
|
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### 2. Dream of the Red Chamber Lost Ending Simulation
|
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<div align="center">
|
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<a href="https://www.bilibili.com/video/BV1cPk3BBExq" target="_blank"><img src="./static/image/红楼梦模拟推演封面.jpg" alt="MiroFish Demo Video" width="75%"/></a>
|
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<a href="https://www.bilibili.com/video/BV1cPk3BBExq" target="_blank"><img src="./static/image/红楼梦模拟推演封面.jpg" alt="CrowdSight Demo Video" width="75%"/></a>
|
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Click the image to watch MiroFish's deep prediction of the lost ending based on hundreds of thousands of words from the first 80 chapters of "Dream of the Red Chamber"
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Click the image to watch CrowdSight's deep prediction of the lost ending based on hundreds of thousands of words from the first 80 chapters of "Dream of the Red Chamber"
|
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</div>
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> **Financial Prediction**, **Political News Prediction** and more examples coming soon...
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@@ -215,20 +215,20 @@ Reads `.env` from root directory by default, maps ports `3000 (frontend) / 5001
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The MiroFish team is recruiting full-time/internship positions. If you're interested in multi-agent simulation and LLM applications, feel free to send your resume to: **mirofish@shanda.com**
|
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The CrowdSight team is recruiting full-time/internship positions. If you're interested in multi-agent simulation and LLM applications, feel free to send your resume to: **crowdsight@shanda.com**
|
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## 📄 Acknowledgments
|
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**MiroFish has received strategic support and incubation from Shanda Group!**
|
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**CrowdSight has received strategic support and incubation from Shanda Group!**
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MiroFish's simulation engine is powered by **[OASIS (Open Agent Social Interaction Simulations)](https://github.com/camel-ai/oasis)**, We sincerely thank the CAMEL-AI team for their open-source contributions!
|
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CrowdSight's simulation engine is powered by **[OASIS (Open Agent Social Interaction Simulations)](https://github.com/camel-ai/oasis)**, We sincerely thank the CAMEL-AI team for their open-source contributions!
|
||||
|
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## 📈 Project Statistics
|
||||
|
||||
<a href="https://www.star-history.com/#666ghj/MiroFish&type=date&legend=top-left">
|
||||
<a href="https://www.star-history.com/#666ghj/CrowdSight&type=date&legend=top-left">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&theme=dark&legend=top-left" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&legend=top-left" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=666ghj/MiroFish&type=date&legend=top-left" />
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=666ghj/CrowdSight&type=date&theme=dark&legend=top-left" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=666ghj/CrowdSight&type=date&legend=top-left" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=666ghj/CrowdSight&type=date&legend=top-left" />
|
||||
</picture>
|
||||
</a>
|
||||
@@ -1,5 +1,5 @@
|
||||
"""
|
||||
MiroFish Backend - Flask应用工厂
|
||||
CrowdSight Backend - Flask应用工厂
|
||||
"""
|
||||
|
||||
import os
|
||||
@@ -27,7 +27,7 @@ def create_app(config_class=Config):
|
||||
app.json.ensure_ascii = False
|
||||
|
||||
# 设置日志
|
||||
logger = setup_logger('mirofish')
|
||||
logger = setup_logger('crowdsight')
|
||||
|
||||
# 只在 reloader 子进程中打印启动信息（避免 debug 模式下打印两次）
|
||||
is_reloader_process = os.environ.get('WERKZEUG_RUN_MAIN') == 'true'
|
||||
@@ -36,7 +36,7 @@ def create_app(config_class=Config):
|
||||
|
||||
if should_log_startup:
|
||||
logger.info("=" * 50)
|
||||
logger.info("MiroFish Backend 启动中...")
|
||||
logger.info("CrowdSight Backend 启动中...")
|
||||
logger.info("=" * 50)
|
||||
|
||||
# 启用CORS
|
||||
@@ -51,14 +51,14 @@ def create_app(config_class=Config):
|
||||
# 请求日志中间件
|
||||
@app.before_request
|
||||
def log_request():
|
||||
logger = get_logger('mirofish.request')
|
||||
logger = get_logger('crowdsight.request')
|
||||
logger.debug(f"请求: {request.method} {request.path}")
|
||||
if request.content_type and 'json' in request.content_type:
|
||||
logger.debug(f"请求体: {request.get_json(silent=True)}")
|
||||
|
||||
@app.after_request
|
||||
def log_response(response):
|
||||
logger = get_logger('mirofish.request')
|
||||
logger = get_logger('crowdsight.request')
|
||||
logger.debug(f"响应: {response.status_code}")
|
||||
return response
|
||||
|
||||
@@ -71,10 +71,10 @@ def create_app(config_class=Config):
|
||||
# 健康检查
|
||||
@app.route('/health')
|
||||
def health():
|
||||
return {'status': 'ok', 'service': 'MiroFish Backend'}
|
||||
return {'status': 'ok', 'service': 'CrowdSight Backend'}
|
||||
|
||||
if should_log_startup:
|
||||
logger.info("MiroFish Backend 启动完成")
|
||||
logger.info("CrowdSight Backend 启动完成")
|
||||
|
||||
return app
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ from ..models.task import TaskManager, TaskStatus
|
||||
from ..models.project import ProjectManager, ProjectStatus
|
||||
|
||||
# 获取日志器
|
||||
logger = get_logger('mirofish.api')
|
||||
logger = get_logger('crowdsight.api')
|
||||
|
||||
|
||||
def allowed_file(filename: str) -> bool:
|
||||
@@ -337,7 +337,7 @@ def build_graph():
|
||||
project.error = None
|
||||
|
||||
# 获取配置
|
||||
graph_name = data.get('graph_name', project.name or 'MiroFish Graph')
|
||||
graph_name = data.get('graph_name', project.name or 'CrowdSight Graph')
|
||||
chunk_size = data.get('chunk_size', project.chunk_size or Config.DEFAULT_CHUNK_SIZE)
|
||||
chunk_overlap = data.get('chunk_overlap', project.chunk_overlap or Config.DEFAULT_CHUNK_OVERLAP)
|
||||
|
||||
@@ -377,7 +377,7 @@ def build_graph():
|
||||
# 启动后台任务
|
||||
def build_task():
|
||||
set_locale(current_locale)
|
||||
build_logger = get_logger('mirofish.build')
|
||||
build_logger = get_logger('crowdsight.build')
|
||||
try:
|
||||
build_logger.info(f"[{task_id}] 开始构建图谱...")
|
||||
task_manager.update_task(
|
||||
|
||||
@@ -17,7 +17,7 @@ from ..models.task import TaskManager, TaskStatus
|
||||
from ..utils.logger import get_logger
|
||||
from ..utils.locale import t, get_locale, set_locale
|
||||
|
||||
logger = get_logger('mirofish.api.report')
|
||||
logger = get_logger('crowdsight.api.report')
|
||||
|
||||
|
||||
# ============== 报告生成接口 ==============
|
||||
@@ -939,7 +939,7 @@ def search_graph_tool():
|
||||
|
||||
请求（JSON）：
|
||||
{
|
||||
"graph_id": "mirofish_xxxx",
|
||||
"graph_id": "crowdsight_xxxx",
|
||||
"query": "搜索查询",
|
||||
"limit": 10
|
||||
}
|
||||
@@ -987,7 +987,7 @@ def get_graph_statistics_tool():
|
||||
|
||||
请求（JSON）：
|
||||
{
|
||||
"graph_id": "mirofish_xxxx"
|
||||
"graph_id": "crowdsight_xxxx"
|
||||
}
|
||||
"""
|
||||
try:
|
||||
|
||||
@@ -17,7 +17,7 @@ from ..utils.logger import get_logger
|
||||
from ..utils.locale import t, get_locale, set_locale
|
||||
from ..models.project import ProjectManager
|
||||
|
||||
logger = get_logger('mirofish.api.simulation')
|
||||
logger = get_logger('crowdsight.api.simulation')
|
||||
|
||||
|
||||
# Interview prompt 优化前缀
|
||||
@@ -172,7 +172,7 @@ def create_simulation():
|
||||
请求（JSON）：
|
||||
{
|
||||
"project_id": "proj_xxxx", // 必填
|
||||
"graph_id": "mirofish_xxxx", // 可选，如不提供则从project获取
|
||||
"graph_id": "crowdsight_xxxx", // 可选，如不提供则从project获取
|
||||
"enable_twitter": true, // 可选，默认true
|
||||
"enable_reddit": true // 可选，默认true
|
||||
}
|
||||
@@ -183,7 +183,7 @@ def create_simulation():
|
||||
"data": {
|
||||
"simulation_id": "sim_xxxx",
|
||||
"project_id": "proj_xxxx",
|
||||
"graph_id": "mirofish_xxxx",
|
||||
"graph_id": "crowdsight_xxxx",
|
||||
"status": "created",
|
||||
"enable_twitter": true,
|
||||
"enable_reddit": true,
|
||||
@@ -1381,7 +1381,7 @@ def generate_profiles():
|
||||
|
||||
请求（JSON）：
|
||||
{
|
||||
"graph_id": "mirofish_xxxx", // 必填
|
||||
"graph_id": "crowdsight_xxxx", // 必填
|
||||
"entity_types": ["Student"], // 可选
|
||||
"use_llm": true, // 可选
|
||||
"platform": "reddit" // 可选
|
||||
|
||||
@@ -7,7 +7,7 @@ import os
|
||||
from dotenv import load_dotenv
|
||||
|
||||
# 加载项目根目录的 .env 文件
|
||||
# 路径: MiroFish/.env (相对于 backend/app/config.py)
|
||||
# 路径: CrowdSight/.env (相对于 backend/app/config.py)
|
||||
project_root_env = os.path.join(os.path.dirname(__file__), '../../.env')
|
||||
|
||||
if os.path.exists(project_root_env):
|
||||
@@ -62,7 +62,7 @@ class Config:
|
||||
"""Flask配置类"""
|
||||
|
||||
# Flask配置
|
||||
SECRET_KEY = os.environ.get('SECRET_KEY', 'mirofish-secret-key')
|
||||
SECRET_KEY = os.environ.get('SECRET_KEY', 'crowdsight-secret-key')
|
||||
DEBUG = os.environ.get('FLASK_DEBUG', 'True').lower() == 'true'
|
||||
|
||||
# JSON配置 - 禁用ASCII转义，让中文直接显示（而不是 \uXXXX 格式）
|
||||
|
||||
@@ -55,7 +55,7 @@ class GraphBuilderService:
|
||||
self,
|
||||
text: str,
|
||||
ontology: Dict[str, Any],
|
||||
graph_name: str = "MiroFish Graph",
|
||||
graph_name: str = "CrowdSight Graph",
|
||||
chunk_size: int = 500,
|
||||
chunk_overlap: int = 50,
|
||||
batch_size: int = 3
|
||||
@@ -192,12 +192,12 @@ class GraphBuilderService:
|
||||
|
||||
def create_graph(self, name: str) -> str:
|
||||
"""创建Zep图谱（公开方法）"""
|
||||
graph_id = f"mirofish_{uuid.uuid4().hex[:16]}"
|
||||
graph_id = f"crowdsight_{uuid.uuid4().hex[:16]}"
|
||||
|
||||
self.client.graph.create(
|
||||
graph_id=graph_id,
|
||||
name=name,
|
||||
description="MiroFish Social Simulation Graph"
|
||||
description="CrowdSight Social Simulation Graph"
|
||||
)
|
||||
|
||||
return graph_id
|
||||
|
||||
@@ -23,7 +23,7 @@ from ..utils.logger import get_logger
|
||||
from ..utils.locale import get_language_instruction, get_locale, set_locale, t
|
||||
from .zep_entity_reader import EntityNode, ZepEntityReader
|
||||
|
||||
logger = get_logger('mirofish.oasis_profile')
|
||||
logger = get_logger('crowdsight.oasis_profile')
|
||||
|
||||
|
||||
@dataclass
|
||||
|
||||
@@ -410,7 +410,7 @@ class OntologyGenerator:
|
||||
code_lines = [
|
||||
'"""',
|
||||
'自定义实体类型定义',
|
||||
'由MiroFish自动生成，用于社会舆论模拟',
|
||||
'Auto-generated by CrowdSight，用于社会舆论模拟',
|
||||
'"""',
|
||||
'',
|
||||
'from pydantic import Field',
|
||||
|
||||
@@ -30,7 +30,7 @@ from .zep_tools import (
|
||||
InterviewResult
|
||||
)
|
||||
|
||||
logger = get_logger('mirofish.report_agent')
|
||||
logger = get_logger('crowdsight.report_agent')
|
||||
|
||||
|
||||
class ReportLogger:
|
||||
@@ -353,8 +353,8 @@ class ReportConsoleLogger:
|
||||
|
||||
# 添加到 report_agent 相关的 logger
|
||||
loggers_to_attach = [
|
||||
'mirofish.report_agent',
|
||||
'mirofish.zep_tools',
|
||||
'crowdsight.report_agent',
|
||||
'crowdsight.zep_tools',
|
||||
]
|
||||
|
||||
for logger_name in loggers_to_attach:
|
||||
@@ -369,8 +369,8 @@ class ReportConsoleLogger:
|
||||
|
||||
if self._file_handler:
|
||||
loggers_to_detach = [
|
||||
'mirofish.report_agent',
|
||||
'mirofish.zep_tools',
|
||||
'crowdsight.report_agent',
|
||||
'crowdsight.zep_tools',
|
||||
]
|
||||
|
||||
for logger_name in loggers_to_detach:
|
||||
|
||||
@@ -23,7 +23,7 @@ from ..utils.logger import get_logger
|
||||
from ..utils.locale import get_language_instruction, t
|
||||
from .zep_entity_reader import EntityNode, ZepEntityReader
|
||||
|
||||
logger = get_logger('mirofish.simulation_config')
|
||||
logger = get_logger('crowdsight.simulation_config')
|
||||
|
||||
# 中国作息时间配置（北京时间）
|
||||
CHINA_TIMEZONE_CONFIG = {
|
||||
|
||||
@@ -19,7 +19,7 @@ from enum import Enum
|
||||
|
||||
from ..utils.logger import get_logger
|
||||
|
||||
logger = get_logger('mirofish.simulation_ipc')
|
||||
logger = get_logger('crowdsight.simulation_ipc')
|
||||
|
||||
|
||||
class CommandType(str, Enum):
|
||||
|
||||
@@ -19,7 +19,7 @@ from .oasis_profile_generator import OasisProfileGenerator, OasisAgentProfile
|
||||
from .simulation_config_generator import SimulationConfigGenerator, SimulationParameters
|
||||
from ..utils.locale import t
|
||||
|
||||
logger = get_logger('mirofish.simulation')
|
||||
logger = get_logger('crowdsight.simulation')
|
||||
|
||||
|
||||
class SimulationStatus(str, Enum):
|
||||
@@ -520,7 +520,7 @@ class SimulationManager:
|
||||
"parallel": f"python {scripts_dir}/run_parallel_simulation.py --config {config_path}",
|
||||
},
|
||||
"instructions": (
|
||||
f"1. 激活conda环境: conda activate MiroFish\n"
|
||||
f"1. 激活conda环境: conda activate CrowdSight\n"
|
||||
f"2. 运行模拟 (脚本位于 {scripts_dir}):\n"
|
||||
f" - 单独运行Twitter: python {scripts_dir}/run_twitter_simulation.py --config {config_path}\n"
|
||||
f" - 单独运行Reddit: python {scripts_dir}/run_reddit_simulation.py --config {config_path}\n"
|
||||
|
||||
@@ -24,7 +24,7 @@ from ..utils.locale import get_locale, set_locale
|
||||
from .zep_graph_memory_updater import ZepGraphMemoryManager
|
||||
from .simulation_ipc import SimulationIPCClient, CommandType, IPCResponse
|
||||
|
||||
logger = get_logger('mirofish.simulation_runner')
|
||||
logger = get_logger('crowdsight.simulation_runner')
|
||||
|
||||
# 标记是否已注册清理函数
|
||||
_cleanup_registered = False
|
||||
|
||||
@@ -13,7 +13,7 @@ from ..config import Config
|
||||
from ..utils.logger import get_logger
|
||||
from ..utils.zep_paging import fetch_all_nodes, fetch_all_edges
|
||||
|
||||
logger = get_logger('mirofish.zep_entity_reader')
|
||||
logger = get_logger('crowdsight.zep_entity_reader')
|
||||
|
||||
# 用于泛型返回类型
|
||||
T = TypeVar('T')
|
||||
|
||||
@@ -18,7 +18,7 @@ from ..config import Config
|
||||
from ..utils.logger import get_logger
|
||||
from ..utils.locale import get_locale, set_locale
|
||||
|
||||
logger = get_logger('mirofish.zep_graph_memory_updater')
|
||||
logger = get_logger('crowdsight.zep_graph_memory_updater')
|
||||
|
||||
|
||||
@dataclass
|
||||
|
||||
@@ -21,7 +21,7 @@ from ..utils.llm_client import LLMClient
|
||||
from ..utils.locale import get_locale, t
|
||||
from ..utils.zep_paging import fetch_all_nodes, fetch_all_edges
|
||||
|
||||
logger = get_logger('mirofish.zep_tools')
|
||||
logger = get_logger('crowdsight.zep_tools')
|
||||
|
||||
|
||||
@dataclass
|
||||
|
||||
@@ -27,7 +27,7 @@ def _ensure_utf8_stdout():
|
||||
LOG_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'logs')
|
||||
|
||||
|
||||
def setup_logger(name: str = 'mirofish', level: int = logging.DEBUG) -> logging.Logger:
|
||||
def setup_logger(name: str = 'crowdsight', level: int = logging.DEBUG) -> logging.Logger:
|
||||
"""
|
||||
设置日志器
|
||||
|
||||
@@ -88,7 +88,7 @@ def setup_logger(name: str = 'mirofish', level: int = logging.DEBUG) -> logging.
|
||||
return logger
|
||||
|
||||
|
||||
def get_logger(name: str = 'mirofish') -> logging.Logger:
|
||||
def get_logger(name: str = 'crowdsight') -> logging.Logger:
|
||||
"""
|
||||
获取日志器（如果不存在则创建）
|
||||
|
||||
|
||||
@@ -9,7 +9,7 @@ import functools
|
||||
from typing import Callable, Any, Optional, Type, Tuple
|
||||
from ..utils.logger import get_logger
|
||||
|
||||
logger = get_logger('mirofish.retry')
|
||||
logger = get_logger('crowdsight.retry')
|
||||
|
||||
|
||||
def retry_with_backoff(
|
||||
|
||||
@@ -15,7 +15,7 @@ from zep_cloud.client import Zep
|
||||
|
||||
from .logger import get_logger
|
||||
|
||||
logger = get_logger('mirofish.zep_paging')
|
||||
logger = get_logger('crowdsight.zep_paging')
|
||||
|
||||
_DEFAULT_PAGE_SIZE = 100
|
||||
_MAX_NODES = 2000
|
||||
|
||||
@@ -1,11 +1,11 @@
|
||||
[project]
|
||||
name = "mirofish-backend"
|
||||
name = "crowdsight-backend"
|
||||
version = "0.1.0"
|
||||
description = "MiroFish - 简洁通用的群体智能引擎，预测万物"
|
||||
description = "CrowdSight - 简洁通用的群体智能引擎，预测万物"
|
||||
requires-python = ">=3.11,<3.13"
|
||||
license = { text = "AGPL-3.0" }
|
||||
authors = [
|
||||
{ name = "MiroFish Team" }
|
||||
{ name = "CrowdSight Team" }
|
||||
]
|
||||
|
||||
dependencies = [
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
# ===========================================
|
||||
# MiroFish Backend Dependencies
|
||||
# CrowdSight Backend Dependencies
|
||||
# ===========================================
|
||||
# Python 3.11+ required
|
||||
# Install: pip install -r requirements.txt
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
"""
|
||||
MiroFish Backend 启动入口
|
||||
CrowdSight Backend 启动入口
|
||||
"""
|
||||
|
||||
import os
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
services:
|
||||
mirofish:
|
||||
image: ghcr.io/666ghj/mirofish:latest
|
||||
crowdsight:
|
||||
image: ghcr.io/666ghj/crowdsight:latest
|
||||
# 加速镜像（如拉取缓慢可替换上方地址）
|
||||
# image: ghcr.nju.edu.cn/666ghj/mirofish:latest
|
||||
container_name: mirofish
|
||||
# image: ghcr.nju.edu.cn/666ghj/crowdsight:latest
|
||||
container_name: crowdsight
|
||||
env_file:
|
||||
- .env
|
||||
ports:
|
||||
|
||||
@@ -8,8 +8,8 @@
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/png" href="/icon.png" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<meta name="description" content="MiroFish - 社交媒体舆论模拟系统" />
|
||||
<title>MiroFish - 预测万物</title>
|
||||
<meta name="description" content="CrowdSight - 社交媒体舆论模拟系统" />
|
||||
<title>CrowdSight - 预测万物</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="app"></div>
|
||||
|
||||
@@ -2,10 +2,10 @@
|
||||
<div class="home-container">
|
||||
<!-- 顶部导航栏 -->
|
||||
<nav class="navbar">
|
||||
<div class="nav-brand">MIROFISH</div>
|
||||
<div class="nav-brand">CROWDSIGHT</div>
|
||||
<div class="nav-links">
|
||||
<LanguageSwitcher />
|
||||
<a href="https://github.com/666ghj/MiroFish" target="_blank" class="github-link">
|
||||
<a href="https://github.com/666ghj/CrowdSight" target="_blank" class="github-link">
|
||||
{{ $t('nav.visitGithub') }} <span class="arrow">↗</span>
|
||||
</a>
|
||||
</div>
|
||||
@@ -44,7 +44,7 @@
|
||||
<div class="hero-right">
|
||||
<!-- Logo 区域 -->
|
||||
<div class="logo-container">
|
||||
<img src="../assets/logo/MiroFish_logo_left.jpeg" alt="MiroFish Logo" class="hero-logo" />
|
||||
<img src="../assets/logo/CrowdSight_logo_left.jpeg" alt="CrowdSight Logo" class="hero-logo" />
|
||||
</div>
|
||||
|
||||
<button class="scroll-down-btn" @click="scrollToBottom">
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
<!-- Header -->
|
||||
<header class="app-header">
|
||||
<div class="header-left">
|
||||
<div class="brand" @click="router.push('/')">MIROFISH</div>
|
||||
<div class="brand" @click="router.push('/')">CROWDSIGHT</div>
|
||||
</div>
|
||||
|
||||
<div class="header-center">
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
<!-- Header -->
|
||||
<header class="app-header">
|
||||
<div class="header-left">
|
||||
<div class="brand" @click="router.push('/')">MIROFISH</div>
|
||||
<div class="brand" @click="router.push('/')">CROWDSIGHT</div>
|
||||
</div>
|
||||
|
||||
<div class="header-center">
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
<div class="process-page">
|
||||
<!-- 顶部导航栏 -->
|
||||
<nav class="navbar">
|
||||
<div class="nav-brand" @click="goHome">MIROFISH</div>
|
||||
<div class="nav-brand" @click="goHome">CROWDSIGHT</div>
|
||||
|
||||
<!-- 中间步骤指示器 -->
|
||||
<div class="nav-center">
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
<!-- Header -->
|
||||
<header class="app-header">
|
||||
<div class="header-left">
|
||||
<div class="brand" @click="router.push('/')">MIROFISH</div>
|
||||
<div class="brand" @click="router.push('/')">CROWDSIGHT</div>
|
||||
</div>
|
||||
|
||||
<div class="header-center">
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
<!-- Header -->
|
||||
<header class="app-header">
|
||||
<div class="header-left">
|
||||
<div class="brand" @click="router.push('/')">MIROFISH</div>
|
||||
<div class="brand" @click="router.push('/')">CROWDSIGHT</div>
|
||||
</div>
|
||||
|
||||
<div class="header-center">
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
<!-- Header -->
|
||||
<header class="app-header">
|
||||
<div class="header-left">
|
||||
<div class="brand" @click="router.push('/')">MIROFISH</div>
|
||||
<div class="brand" @click="router.push('/')">CROWDSIGHT</div>
|
||||
</div>
|
||||
|
||||
<div class="header-center">
|
||||
|
||||
@@ -26,8 +26,8 @@
|
||||
"files": "files"
|
||||
},
|
||||
"meta": {
|
||||
"title": "MiroFish - Predict Everything",
|
||||
"description": "MiroFish - Social Media Opinion Simulation System"
|
||||
"title": "CrowdSight - Predict Everything",
|
||||
"description": "CrowdSight - Social Media Opinion Simulation System"
|
||||
},
|
||||
"nav": {
|
||||
"visitGithub": "Visit our Github page"
|
||||
@@ -38,7 +38,7 @@
|
||||
"heroTitle1": "Upload Reports,",
|
||||
"heroTitle2": "Predict the Future",
|
||||
"heroDesc": "From a single document, {brand} extracts reality seeds to auto-generate a parallel world with up to {agentScale}. Inject variables from a god's-eye view to find the {optimalSolution} in complex group dynamics.",
|
||||
"heroDescBrand": "MiroFish",
|
||||
"heroDescBrand": "CrowdSight",
|
||||
"heroDescAgentScale": "million-scale Agents",
|
||||
"heroDescOptimalSolution": "\"local optimum\"",
|
||||
"slogan": "Let Agents rehearse the future, let decisions prevail",
|
||||
@@ -67,7 +67,7 @@
|
||||
"inputParams": "Input Parameters",
|
||||
"simulationPrompt": ">_ 02 / Simulation Prompt",
|
||||
"promptPlaceholder": "// Describe your simulation or prediction requirement in natural language",
|
||||
"engineBadge": "Engine: MiroFish-V1.0",
|
||||
"engineBadge": "Engine: CrowdSight-V1.0",
|
||||
"startEngine": "Start Engine",
|
||||
"initializing": "Initializing..."
|
||||
},
|
||||
@@ -151,7 +151,7 @@
|
||||
"setupComplete": "Setup Complete",
|
||||
"setupCompleteDesc": "Simulation environment is ready. You can now start the simulation.",
|
||||
"roundsConfig": "Simulation Rounds Configuration",
|
||||
"roundsConfigDesc": "MiroFish auto-plans to simulate {hours} real-world hours, each round representing {minutesPerRound} minutes of elapsed time",
|
||||
"roundsConfigDesc": "CrowdSight auto-plans to simulate {hours} real-world hours, each round representing {minutesPerRound} minutes of elapsed time",
|
||||
"customToggle": "Custom",
|
||||
"roundsUnit": "rounds",
|
||||
"estimatedDuration": "For 100 Agents: est. ~{minutes} minutes",
|
||||
@@ -263,7 +263,7 @@
|
||||
"selectChatTarget": "Select chat target",
|
||||
"sendSurvey": "Send survey to the world",
|
||||
"reportAgentChat": "Report Agent - Chat",
|
||||
"reportAgentDesc": "A conversational version of the report generation agent with access to 4 professional tools and MiroFish's complete memory",
|
||||
"reportAgentDesc": "A conversational version of the report generation agent with access to 4 professional tools and CrowdSight's complete memory",
|
||||
"toolInsightForge": "InsightForge Deep Attribution",
|
||||
"toolInsightForgeDesc": "Aligns real-world seed data with simulation state, combining Global/Local Memory for cross-temporal deep attribution analysis",
|
||||
"toolPanoramaSearch": "PanoramaSearch Full Tracking",
|
||||
|
||||
@@ -26,8 +26,8 @@
|
||||
"files": "ไฟล์"
|
||||
},
|
||||
"meta": {
|
||||
"title": "MiroFish - พยากรณ์ทุกสิ่ง",
|
||||
"description": "MiroFish - ระบบจำลองความคิดเห็นบนโซเชียลมีเดีย"
|
||||
"title": "CrowdSight - พยากรณ์ทุกสิ่ง",
|
||||
"description": "CrowdSight - ระบบจำลองความคิดเห็นบนโซเชียลมีเดีย"
|
||||
},
|
||||
"nav": {
|
||||
"visitGithub": "เยี่ยมชมหน้า Github ของเรา"
|
||||
@@ -37,8 +37,8 @@
|
||||
"version": "/ v0.1-Preview",
|
||||
"heroTitle1": "อัปโหลดรายงาน,",
|
||||
"heroTitle2": "พยากรณ์อนาคต",
|
||||
"heroDesc": "จากเอกสารเพียงชิ้นเดียว {brand} จะสกัดเมล็ดพันธุ์แห่งความจริงเพื่อสร้างโลกคู่ขนานโดยอัตโนมัติที่มี Agent ได้สูงสุดถึง {agentScale} ฉีดตัวแปรจากมุมมองเหนือกว่าเพื่อค้นหา {optimalSolution} ในพลวัตกลุ่มที่ซับซ้อน",
|
||||
"heroDescBrand": "MiroFish",
|
||||
"heroDesc": "จากเอกสารเพียงชิ้นเดียว {brand} จะสกัดข้อมูลตั้งต้นเพื่อสร้างโลกจำลองโดยอัตโนมัติที่มี Agent ได้สูงสุดถึง {agentScale} เพิ่มตัวแปรจากมุมมองเหนือกว่าเพื่อค้นหา {optimalSolution} ในพฤติกรรมกลุ่มที่ซับซ้อน",
|
||||
"heroDescBrand": "CrowdSight",
|
||||
"heroDescAgentScale": "ระดับล้าน Agent",
|
||||
"heroDescOptimalSolution": "\"ค่าเหมาะสมเฉพาะที่\"",
|
||||
"slogan": "ให้ Agent ซักซ้อมอนาคต ให้การตัดสินใจเป็นผู้ชนะ",
|
||||
@@ -51,23 +51,23 @@
|
||||
"metricHighAvailDesc": "Agent นับล้าน",
|
||||
"workflowSequence": "ขั้นตอนการทำงาน",
|
||||
"step01Title": "สร้างกราฟ",
|
||||
"step01Desc": "สกัดเมล็ดพันธุ์ & ฉีดความจำ & สร้าง GraphRAG",
|
||||
"step01Desc": "สกัดข้อมูลตั้งต้น & เพิ่มความจำ & สร้าง GraphRAG",
|
||||
"step02Title": "ตั้งค่าสภาพแวดล้อม",
|
||||
"step02Desc": "สกัดเอนทิตี & สร้างบุคลิกภาพ & ฉีดค่าตั้ง Agent",
|
||||
"step02Desc": "ดึงตัวละคร & สร้างบุคลิกภาพ & ฉีดค่าตั้ง Agent",
|
||||
"step03Title": "การจำลอง",
|
||||
"step03Desc": "จำลองคู่ขนานสองแพลตฟอร์ม & วิเคราะห์ความต้องการอัตโนมัติ & ความจำเชิงเวลา",
|
||||
"step04Title": "รายงาน",
|
||||
"step04Desc": "Report Agent โต้ตอบกับสภาพแวดล้อมหลังการจำลองผ่านเครื่องมือครบครัน",
|
||||
"step05Title": "การโต้ตอบ",
|
||||
"step05Desc": "สนทนากับบุคคลที่จำลอง & พูดคุยกับ Report Agent",
|
||||
"realitySeed": "01 / เมล็ดพันธุ์แห่งความจริง",
|
||||
"realitySeed": "01 / ข้อมูลตั้งต้น",
|
||||
"supportedFormats": "รูปแบบ: PDF, MD, TXT",
|
||||
"dragToUpload": "ลากไฟล์เพื่ออัปโหลด",
|
||||
"orBrowse": "หรือคลิกเพื่อเลือกไฟล์",
|
||||
"inputParams": "พารามิเตอร์นำเข้า",
|
||||
"simulationPrompt": ">_ 02 / คำสั่งจำลอง",
|
||||
"promptPlaceholder": "// อธิบายความต้องการในการจำลองหรือพยากรณ์ของคุณเป็นภาษาธรรมชาติ",
|
||||
"engineBadge": "Engine: MiroFish-V1.0",
|
||||
"engineBadge": "Engine: CrowdSight-V1.0",
|
||||
"startEngine": "เริ่ม Engine",
|
||||
"initializing": "กำลังเริ่มต้น..."
|
||||
},
|
||||
@@ -84,15 +84,15 @@
|
||||
]
|
||||
},
|
||||
"step1": {
|
||||
"ontologyGeneration": "การสร้างออนโทโลยี",
|
||||
"ontologyGeneration": "การสร้างโครงสร้างข้อมูล",
|
||||
"ontologyCompleted": "สำเร็จ",
|
||||
"ontologyGenerating": "กำลังสร้าง",
|
||||
"ontologyPending": "รอดำเนินการ",
|
||||
"ontologyDesc": "LLM วิเคราะห์เนื้อหาเอกสารและความต้องการในการจำลอง สกัดเมล็ดพันธุ์แห่งความจริง และสร้างโครงสร้างออนโทโลยีที่เหมาะสมโดยอัตโนมัติ",
|
||||
"ontologyDesc": "LLM วิเคราะห์เนื้อหาเอกสารและความต้องการในการจำลอง สกัดข้อมูลตั้งต้น และสร้างโครงสร้างโครงสร้างข้อมูลที่เหมาะสมโดยอัตโนมัติ",
|
||||
"analyzingDocs": "กำลังวิเคราะห์เอกสาร...",
|
||||
"graphRagBuild": "สร้าง GraphRAG",
|
||||
"graphRagDesc": "จากออนโทโลยีที่สร้างขึ้น เอกสารจะถูกแบ่งเป็นส่วนย่อยโดยอัตโนมัติและส่งไปยัง Zep เพื่อสร้างกราฟความรู้ สกัดเอนทิตีและความสัมพันธ์ สร้างความจำเชิงเวลาและบทสรุปชุมชน",
|
||||
"entityNodes": "โหนดเอนทิตี",
|
||||
"graphRagDesc": "จากโครงสร้างข้อมูลที่สร้างขึ้น เอกสารจะถูกแบ่งเป็นส่วนย่อยโดยอัตโนมัติและส่งไปยัง Zep เพื่อสร้างแผนภูมิความรู้ ดึงตัวละครและความสัมพันธ์ สร้างความจำเชิงเวลาและบทสรุปชุมชน",
|
||||
"entityNodes": "โหนดตัวละคร",
|
||||
"relationEdges": "เส้นเชื่อมความสัมพันธ์",
|
||||
"schemaTypes": "ประเภท Schema",
|
||||
"buildComplete": "สร้างเสร็จสมบูรณ์",
|
||||
@@ -108,15 +108,15 @@
|
||||
"simInstanceDesc": "สร้างอินสแตนซ์การจำลองใหม่และดึงเทมเพลตพารามิเตอร์โลก",
|
||||
"asyncTaskDone": "งานแบบอะซิงโครนัสเสร็จสมบูรณ์",
|
||||
"generateAgentPersona": "สร้างบุคลิกภาพ Agent",
|
||||
"generateAgentPersonaDesc": "ผสานบริบทเพื่อสกัดเอนทิตีและความสัมพันธ์จากกราฟความรู้โดยอัตโนมัติ เริ่มต้นบุคคลที่จำลอง และกำหนดพฤติกรรมและความจำที่เป็นเอกลักษณ์จากเมล็ดพันธุ์แห่งความจริง",
|
||||
"generateAgentPersonaDesc": "ผสานบริบทเพื่อดึงตัวละครและความสัมพันธ์จากแผนภูมิความรู้โดยอัตโนมัติ เริ่มต้นบุคคลที่จำลอง และกำหนดพฤติกรรมและความจำที่เป็นเอกลักษณ์จากข้อมูลตั้งต้น",
|
||||
"currentAgentCount": "Agent ปัจจุบัน",
|
||||
"expectedAgentTotal": "Agent ทั้งหมดที่คาดหวัง",
|
||||
"relatedTopicsCount": "หัวข้อที่เกี่ยวข้องกับเมล็ดพันธุ์แห่งความจริง",
|
||||
"relatedTopicsCount": "หัวข้อที่เกี่ยวข้องกับข้อมูลตั้งต้น",
|
||||
"generatedAgentPersonas": "บุคลิกภาพ Agent ที่สร้างแล้ว",
|
||||
"unknownProfession": "ไม่ทราบอาชีพ",
|
||||
"noBio": "ไม่มีประวัติย่อ",
|
||||
"dualPlatformConfig": "สร้างค่าตั้งสองแพลตฟอร์ม",
|
||||
"dualPlatformConfigDesc": "LLM ตั้งค่าการไหลของเวลาโลก ขั้นตอนการแนะนำ ชั่วโมงที่ใช้งานของแต่ละบุคคล ความถี่ในการโพสต์ ตัวกระตุ้นเหตุการณ์ และอื่นๆ อย่างชาญฉลาดตามความต้องการและเมล็ดพันธุ์แห่งความจริง",
|
||||
"dualPlatformConfigDesc": "LLM ตั้งค่าการไหลของเวลาโลก ขั้นตอนการแนะนำ ชั่วโมงที่ใช้งานของแต่ละบุคคล ความถี่ในการโพสต์ ตัวกระตุ้นเหตุการณ์ และอื่นๆ อย่างชาญฉลาดตามความต้องการและข้อมูลตั้งต้น",
|
||||
"simulationDuration": "ระยะเวลาจำลอง",
|
||||
"roundDuration": "ระยะเวลาต่อรอบ",
|
||||
"totalRounds": "รอบทั้งหมด",
|
||||
@@ -151,7 +151,7 @@
|
||||
"setupComplete": "ตั้งค่าเสร็จสมบูรณ์",
|
||||
"setupCompleteDesc": "สภาพแวดล้อมจำลองพร้อมแล้ว คุณสามารถเริ่มการจำลองได้",
|
||||
"roundsConfig": "กำหนดค่ารอบการจำลอง",
|
||||
"roundsConfigDesc": "MiroFish วางแผนอัตโนมัติเพื่อจำลอง {hours} ชั่วโมงโลกจริง แต่ละรอบแทนเวลาที่ผ่านไป {minutesPerRound} นาที",
|
||||
"roundsConfigDesc": "CrowdSight วางแผนอัตโนมัติเพื่อจำลอง {hours} ชั่วโมงโลกจริง แต่ละรอบแทนเวลาที่ผ่านไป {minutesPerRound} นาที",
|
||||
"customToggle": "กำหนดเอง",
|
||||
"roundsUnit": "รอบ",
|
||||
"estimatedDuration": "สำหรับ 100 Agent: ประมาณ ~{minutes} นาที",
|
||||
@@ -165,14 +165,14 @@
|
||||
"profileModalCountry": "ประเทศ/ภูมิภาค",
|
||||
"profileModalMbti": "MBTI ที่ปรากฏ",
|
||||
"profileModalBio": "ประวัติบุคลิกภาพ",
|
||||
"profileModalTopics": "หัวข้อที่เกี่ยวข้องกับเมล็ดพันธุ์แห่งความจริง",
|
||||
"profileModalTopics": "หัวข้อที่เกี่ยวข้องกับข้อมูลตั้งต้น",
|
||||
"profileModalPersona": "ภูมิหลังบุคลิกภาพโดยละเอียด",
|
||||
"personaDimExperience": "ประสบการณ์เหตุการณ์เต็มรูปแบบ",
|
||||
"personaDimExperienceDesc": "เส้นทางพฤติกรรมที่สมบูรณ์ในเหตุการณ์นี้",
|
||||
"personaDimBehavior": "โปรไฟล์พฤติกรรม",
|
||||
"personaDimBehaviorDesc": "สรุปประสบการณ์และความชอบด้านพฤติกรรม",
|
||||
"personaDimMemory": "รอยประทับความจำที่เป็นเอกลักษณ์",
|
||||
"personaDimMemoryDesc": "ความจำที่เกิดจากเมล็ดพันธุ์แห่งความจริง",
|
||||
"personaDimMemoryDesc": "ความจำที่เกิดจากข้อมูลตั้งต้น",
|
||||
"personaDimSocial": "เครือข่ายสังคม",
|
||||
"personaDimSocialDesc": "การเชื่อมต่อระหว่างบุคคลและกราฟการโต้ตอบ",
|
||||
"genderMale": "ชาย",
|
||||
@@ -222,28 +222,28 @@
|
||||
"expandAllEntities": "แสดงทั้งหมด {count} ▼",
|
||||
"scenarioLabel": "สถานการณ์: ",
|
||||
"tabKeyFacts": "ข้อเท็จจริงสำคัญ ({count})",
|
||||
"tabCoreEntities": "เอนทิตีหลัก ({count})",
|
||||
"tabCoreEntities": "ตัวละครหลัก ({count})",
|
||||
"tabRelationChains": "สายโซ่ความสัมพันธ์ ({count})",
|
||||
"tabSubQueries": "คำถามย่อย ({count})",
|
||||
"panelKeyFacts": "ข้อเท็จจริงสำคัญล่าสุดจากความจำเชิงเวลา",
|
||||
"totalCount": "ทั้งหมด {count}",
|
||||
"totalEntityCount": "ทั้งหมด {count}",
|
||||
"panelCoreEntities": "เอนทิตีหลัก",
|
||||
"panelCoreEntities": "ตัวละครหลัก",
|
||||
"factCount": "{count} ข้อเท็จจริง",
|
||||
"panelRelationChains": "สายโซ่ความสัมพันธ์",
|
||||
"panelSubQueries": "คำถามย่อยจากการวิเคราะห์แบบ Drift",
|
||||
"emptyKeyFacts": "ไม่มีข้อเท็จจริงสำคัญ",
|
||||
"emptyCoreEntities": "ไม่มีเอนทิตีหลัก",
|
||||
"emptyCoreEntities": "ไม่มีตัวละครหลัก",
|
||||
"emptyRelationChains": "ไม่มีสายโซ่ความสัมพันธ์",
|
||||
"tabActiveFacts": "ข้อเท็จจริงที่ใช้งาน ({count})",
|
||||
"tabHistoricalFacts": "ข้อเท็จจริงในอดีต ({count})",
|
||||
"tabEntities": "เอนทิตี ({count})",
|
||||
"tabEntities": "ตัวละคร ({count})",
|
||||
"panelActiveFacts": "ข้อเท็จจริงที่ใช้งาน",
|
||||
"emptyActiveFacts": "ไม่มีข้อเท็จจริงที่ใช้งาน",
|
||||
"panelHistoricalFacts": "ข้อเท็จจริงในอดีต",
|
||||
"emptyHistoricalFacts": "ไม่มีข้อเท็จจริงในอดีต",
|
||||
"panelEntities": "เอนทิตี",
|
||||
"emptyEntities": "ไม่มีเอนทิตี",
|
||||
"panelEntities": "ตัวละคร",
|
||||
"emptyEntities": "ไม่มีตัวละคร",
|
||||
"searchLabel": "ค้นหา: ",
|
||||
"tabFacts": "ข้อเท็จจริง ({count})",
|
||||
"tabEdges": "เส้นเชื่อม ({count})",
|
||||
@@ -263,9 +263,9 @@
|
||||
"selectChatTarget": "เลือกเป้าหมายสนทนา",
|
||||
"sendSurvey": "ส่งแบบสำรวจไปยังโลกจำลอง",
|
||||
"reportAgentChat": "Report Agent - สนทนา",
|
||||
"reportAgentDesc": "เวอร์ชันสนทนาของ Agent สร้างรายงาน พร้อมเข้าถึงเครื่องมือมืออาชีพ 4 ชิ้นและความจำครบถ้วนของ MiroFish",
|
||||
"reportAgentDesc": "เวอร์ชันสนทนาของ Agent สร้างรายงาน พร้อมเข้าถึงเครื่องมือมืออาชีพ 4 ชิ้นและความจำครบถ้วนของ CrowdSight",
|
||||
"toolInsightForge": "InsightForge การวิเคราะห์เชิงลึก",
|
||||
"toolInsightForgeDesc": "ปรับข้อมูลเมล็ดพันธุ์แห่งความจริงให้ตรงกับสถานะการจำลอง ผสาน Global/Local Memory สำหรับการวิเคราะห์เชิงลึกข้ามเวลา",
|
||||
"toolInsightForgeDesc": "ปรับข้อมูลข้อมูลตั้งต้นให้ตรงกับสถานะการจำลอง ผสาน Global/Local Memory สำหรับการวิเคราะห์เชิงลึกข้ามเวลา",
|
||||
"toolPanoramaSearch": "PanoramaSearch การติดตามครบถ้วน",
|
||||
"toolPanoramaSearchDesc": "อัลกอริทึม BFS บนกราฟที่สร้างเส้นทางการแพร่กระจายของเหตุการณ์ขึ้นใหม่ จับภาพโทโพโลยีเต็มรูปแบบของการไหลข้อมูล",
|
||||
"toolQuickSearch": "QuickSearch การค้นหาอย่างรวดเร็ว",
|
||||
@@ -300,7 +300,7 @@
|
||||
"nodeDetails": "รายละเอียดโหนด",
|
||||
"relationship": "ความสัมพันธ์",
|
||||
"graphDataLoading": "กำลังโหลดข้อมูลกราฟ...",
|
||||
"waitingOntology": "รอการสร้างออนโทโลยี...",
|
||||
"waitingOntology": "รอการสร้างโครงสร้างข้อมูล...",
|
||||
"toggleMaximize": "ขยาย/คืนค่า",
|
||||
"closeHint": "ปิดคำแนะนำ"
|
||||
},
|
||||
@@ -336,16 +336,16 @@
|
||||
"requireProjectId": "กรุณาระบุ project_id",
|
||||
"configError": "ข้อผิดพลาดในการกำหนดค่า: {details}",
|
||||
"zepApiKeyMissing": "ยังไม่ได้ตั้งค่า ZEP_API_KEY",
|
||||
"ontologyNotGenerated": "ยังไม่ได้สร้างออนโทโลยี กรุณาเรียก /ontology/generate ก่อน",
|
||||
"ontologyNotGenerated": "ยังไม่ได้สร้างโครงสร้างข้อมูล กรุณาเรียก /ontology/generate ก่อน",
|
||||
"graphBuilding": "กำลังสร้างกราฟ อย่าส่งซ้ำ หากต้องการสร้างใหม่ เพิ่ม force: true",
|
||||
"textNotFound": "ไม่พบเนื้อหาข้อความที่สกัดแล้ว",
|
||||
"ontologyNotFound": "ไม่พบคำจำกัดความออนโทโลยี",
|
||||
"ontologyNotFound": "ไม่พบคำจำกัดความโครงสร้างข้อมูล",
|
||||
"graphBuildStarted": "เริ่มงานสร้างกราฟแล้ว สอบถามความคืบหน้าผ่าน /task/{taskId}",
|
||||
"graphBuildComplete": "สร้างกราฟเสร็จสมบูรณ์",
|
||||
"buildFailed": "สร้างล้มเหลว: {error}",
|
||||
"taskNotFound": "ไม่พบงาน: {id}",
|
||||
"graphDeleted": "ลบกราฟแล้ว: {id}",
|
||||
"entityNotFound": "ไม่พบเอนทิตี: {id}",
|
||||
"entityNotFound": "ไม่พบตัวละคร: {id}",
|
||||
"graphNotBuilt": "ยังไม่ได้สร้างกราฟ กรุณาเรียก /api/graph/build ก่อน",
|
||||
"requireSimulationId": "กรุณาระบุ simulation_id",
|
||||
"simulationNotFound": "ไม่พบการจำลอง: {id}",
|
||||
@@ -360,7 +360,7 @@
|
||||
"unknownScript": "ไม่ทราบสคริปต์: {name} ที่มี: {allowed}",
|
||||
"scriptFileNotFound": "ไม่พบไฟล์สคริปต์: {name}",
|
||||
"requireGraphId": "กรุณาระบุ graph_id",
|
||||
"noMatchingEntities": "ไม่พบเอนทิตีที่ตรงกัน",
|
||||
"noMatchingEntities": "ไม่พบตัวละครที่ตรงกัน",
|
||||
"maxRoundsPositive": "max_rounds ต้องเป็นจำนวนเต็มบวก",
|
||||
"maxRoundsInvalid": "max_rounds ต้องเป็นจำนวนเต็มที่ถูกต้อง",
|
||||
"invalidPlatform": "ประเภทแพลตฟอร์มไม่ถูกต้อง: {platform} ตัวเลือก: twitter/reddit/parallel",
|
||||
@@ -401,7 +401,7 @@
|
||||
"initGraphService": "กำลังเริ่มต้นบริการสร้างกราฟ...",
|
||||
"textChunking": "กำลังแบ่งข้อความเป็นส่วนย่อย...",
|
||||
"creatingZepGraph": "กำลังสร้างกราฟ Zep...",
|
||||
"settingOntology": "กำลังตั้งค่าคำจำกัดความออนโทโลยี...",
|
||||
"settingOntology": "กำลังตั้งค่าคำจำกัดความโครงสร้างข้อมูล...",
|
||||
"addingChunks": "กำลังเพิ่ม {count} ส่วนข้อความ...",
|
||||
"waitingZepProcess": "รอ Zep ประมวลผลข้อมูล...",
|
||||
"fetchingGraphData": "กำลังดึงข้อมูลกราฟ...",
|
||||
@@ -409,7 +409,7 @@
|
||||
"buildFailed": "สร้างล้มเหลว: {error}",
|
||||
"startBuildingGraph": "กำลังเริ่มสร้างกราฟ...",
|
||||
"graphCreated": "สร้างกราฟแล้ว: {graphId}",
|
||||
"ontologySet": "ตั้งค่าออนโทโลยีแล้ว",
|
||||
"ontologySet": "ตั้งค่าโครงสร้างข้อมูลแล้ว",
|
||||
"textSplit": "แบ่งข้อความเป็น {count} ส่วน",
|
||||
"fetchingGraphInfo": "กำลังดึงข้อมูลกราฟ...",
|
||||
"sendingBatch": "กำลังส่งชุด {current}/{total} ({chunks} ส่วน)...",
|
||||
@@ -424,7 +424,7 @@
|
||||
"startPreparingEnv": "กำลังเตรียมสภาพแวดล้อมจำลอง...",
|
||||
"connectingZepGraph": "กำลังเชื่อมต่อกราฟ Zep...",
|
||||
"readingNodeData": "กำลังอ่านข้อมูลโหนด...",
|
||||
"readingComplete": "เสร็จ พบ {count} เอนทิตี",
|
||||
"readingComplete": "เสร็จ พบ {count} ตัวละคร",
|
||||
"startGenerating": "กำลังเริ่มสร้าง...",
|
||||
"analyzingRequirements": "กำลังวิเคราะห์ความต้องการจำลอง...",
|
||||
"generatingOutline": "กำลังสร้างเค้าโครงรายงาน...",
|
||||
@@ -454,7 +454,7 @@
|
||||
"agentConfigResult": "ค่าตั้ง Agent: สร้าง {count} รายการ",
|
||||
"postAssignResult": "กำหนดโพสต์: กำหนด {count} โพสต์",
|
||||
"profileGenerated": "[สร้างแล้ว] {name} ({type})",
|
||||
"readingGraphEntities": "กำลังอ่านเอนทิตีกราฟ",
|
||||
"readingGraphEntities": "กำลังอ่านตัวละครกราฟ",
|
||||
"generatingProfiles": "กำลังสร้างโปรไฟล์ Agent",
|
||||
"generatingSimConfig": "กำลังสร้างค่าตั้งจำลอง",
|
||||
"preparingScripts": "กำลังเตรียมสคริปต์"
|
||||
@@ -499,8 +499,8 @@
|
||||
"detectedExistingPrep": "ตรวจพบการเตรียมการที่มีอยู่ ใช้โดยตรง",
|
||||
"prepareTaskStarted": "เริ่มงานเตรียมการแล้ว",
|
||||
"prepareTaskId": " └─ รหัสงาน: {taskId}",
|
||||
"zepEntitiesFound": "พบ {count} เอนทิตีจากกราฟ Zep",
|
||||
"entityTypes": " └─ ประเภทเอนทิตี: {types}",
|
||||
"zepEntitiesFound": "พบ {count} ตัวละครจากกราฟ Zep",
|
||||
"entityTypes": " └─ ประเภทตัวละคร: {types}",
|
||||
"startPollingProgress": "กำลังตรวจสอบความคืบหน้าการเตรียมการ...",
|
||||
"prepareFailed": "เตรียมการล้มเหลว: {error}",
|
||||
"prepareException": "เกิดข้อผิดพลาดในการเตรียมการ: {error}",
|
||||
@@ -637,14 +637,14 @@
|
||||
"fetchingNodeEdges": "กำลังดึงเส้นเชื่อมสำหรับโหนด {uuid}...",
|
||||
"foundNodeEdges": "พบ {count} เส้นเชื่อมที่เกี่ยวข้องกับโหนด",
|
||||
"fetchNodeEdgesFailed": "ดึงเส้นเชื่อมโหนดล้มเหลว: {error}",
|
||||
"fetchingEntitiesByType": "กำลังดึงเอนทิตีประเภท {type}...",
|
||||
"foundEntitiesByType": "พบ {count} เอนทิตีประเภท {type}",
|
||||
"fetchingEntitySummary": "กำลังดึงสรุปความสัมพันธ์สำหรับเอนทิตี {name}...",
|
||||
"fetchingEntitiesByType": "กำลังดึงตัวละครประเภท {type}...",
|
||||
"foundEntitiesByType": "พบ {count} ตัวละครประเภท {type}",
|
||||
"fetchingEntitySummary": "กำลังดึงสรุปความสัมพันธ์สำหรับตัวละคร {name}...",
|
||||
"fetchingGraphStats": "กำลังดึงสถิติสำหรับกราฟ {graphId}...",
|
||||
"fetchingSimContext": "กำลังดึงบริบทการจำลอง: {requirement}...",
|
||||
"insightForgeStart": "InsightForge การค้นหาเชิงลึก: {query}...",
|
||||
"generatedSubQueries": "สร้าง {count} คำถามย่อย",
|
||||
"insightForgeComplete": "InsightForge เสร็จ: {facts} ข้อเท็จจริง, {entities} เอนทิตี, {relationships} ความสัมพันธ์",
|
||||
"insightForgeComplete": "InsightForge เสร็จ: {facts} ข้อเท็จจริง, {entities} ตัวละคร, {relationships} ความสัมพันธ์",
|
||||
"generateSubQueriesFailed": "สร้างคำถามย่อยล้มเหลว: {error}, ใช้ค่าเริ่มต้น",
|
||||
"panoramaSearchStart": "PanoramaSearch การค้นหากว้าง: {query}...",
|
||||
"panoramaSearchComplete": "PanoramaSearch เสร็จ: {active} ใช้งาน, {historical} อดีต",
|
||||
|
||||
@@ -26,8 +26,8 @@
|
||||
"files": "个文件"
|
||||
},
|
||||
"meta": {
|
||||
"title": "MiroFish - 预测万物",
|
||||
"description": "MiroFish - 社交媒体舆论模拟系统"
|
||||
"title": "CrowdSight - 预测万物",
|
||||
"description": "CrowdSight - 社交媒体舆论模拟系统"
|
||||
},
|
||||
"nav": {
|
||||
"visitGithub": "访问我们的Github主页"
|
||||
@@ -38,7 +38,7 @@
|
||||
"heroTitle1": "上传任意报告",
|
||||
"heroTitle2": "即刻推演未来",
|
||||
"heroDesc": "即使只有一段文字，{brand} 也能基于其中的现实种子，全自动生成与之对应的至多{agentScale}构成的平行世界。通过上帝视角注入变量，在复杂的群体交互中寻找动态环境下的{optimalSolution}",
|
||||
"heroDescBrand": "MiroFish",
|
||||
"heroDescBrand": "CrowdSight",
|
||||
"heroDescAgentScale": "百万级Agent",
|
||||
"heroDescOptimalSolution": "\"局部最优解\"",
|
||||
"slogan": "让未来在 Agent 群中预演，让决策在百战后胜出",
|
||||
@@ -67,7 +67,7 @@
|
||||
"inputParams": "输入参数",
|
||||
"simulationPrompt": ">_ 02 / 模拟提示词",
|
||||
"promptPlaceholder": "// 用自然语言输入模拟或预测需求（例.武大若发布撤销肖某处分的公告，会引发什么舆情走向）",
|
||||
"engineBadge": "引擎: MiroFish-V1.0",
|
||||
"engineBadge": "引擎: CrowdSight-V1.0",
|
||||
"startEngine": "启动引擎",
|
||||
"initializing": "初始化中..."
|
||||
},
|
||||
@@ -151,7 +151,7 @@
|
||||
"setupComplete": "准备完成",
|
||||
"setupCompleteDesc": "模拟环境已准备完成，可以开始运行模拟",
|
||||
"roundsConfig": "模拟轮数设定",
|
||||
"roundsConfigDesc": "MiroFish 自动规划推演现实 {hours} 小时，每轮代表现实 {minutesPerRound} 分钟时间流逝",
|
||||
"roundsConfigDesc": "CrowdSight 自动规划推演现实 {hours} 小时，每轮代表现实 {minutesPerRound} 分钟时间流逝",
|
||||
"customToggle": "自定义",
|
||||
"roundsUnit": "轮",
|
||||
"estimatedDuration": "若Agent规模为100：预计耗时约 {minutes} 分钟",
|
||||
@@ -263,7 +263,7 @@
|
||||
"selectChatTarget": "选择对话对象",
|
||||
"sendSurvey": "发送问卷调查到世界中",
|
||||
"reportAgentChat": "Report Agent - Chat",
|
||||
"reportAgentDesc": "报告生成智能体的快速对话版本，可调用 4 种专业工具，拥有MiroFish的完整记忆",
|
||||
"reportAgentDesc": "报告生成智能体的快速对话版本，可调用 4 种专业工具，拥有CrowdSight的完整记忆",
|
||||
"toolInsightForge": "InsightForge 深度归因",
|
||||
"toolInsightForgeDesc": "对齐现实世界种子数据与模拟环境状态，结合Global/Local Memory机制，提供跨时空的深度归因分析",
|
||||
"toolPanoramaSearch": "PanoramaSearch 全景追踪",
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "mirofish",
|
||||
"name": "crowdsight",
|
||||
"version": "0.1.0",
|
||||
"description": "MiroFish - 简洁通用的群体智能引擎，预测万物",
|
||||
"description": "CrowdSight - 简洁通用的群体智能引擎，预测万物",
|
||||
"scripts": {
|
||||
"setup": "npm install && cd frontend && npm install",
|
||||
"setup:backend": "cd backend && uv sync",
|
||||
|
||||
Reference in New Issue
Block a user