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fix: column alias bug fix (#2499)
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magic.chen
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14
README.ja.md
14
README.ja.md
@ -45,9 +45,17 @@
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🚀 **データ3.0時代には、モデルとデータベースを基盤として、企業や開発者がより少ないコードで独自のアプリケーションを構築できます。**
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### AIネイティブデータアプリ
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---
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- 🔥🔥🔥 [V0.5.0リリース | ワークフローとエージェントを通じてネイティブデータアプリケーションを開発](https://docs.dbgpt.site/docs/changelog/Released_V0.5.0)
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---
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- 🔥🔥🔥 [V0.7.0 リリース | 重要なアップグレードのセット](https://docs.dbgpt.cn/docs/changelog/Released_V0.6.0)
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- [サポート MCP Protocol](https://github.com/eosphoros-ai/DB-GPT/pull/2497)
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- [サポート DeepSeek R1](https://github.com/deepseek-ai/DeepSeek-R1)
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- [サポート QwQ-32B](https://huggingface.co/Qwen/QwQ-32B)
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- [基本モジュールをリファクタリングする]()
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- [dbgpt-app](./packages/dbgpt-app)
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- [dbgpt-core](./packages/dbgpt-core)
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- [dbgpt-serve](./packages/dbgpt-serve)
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- [dbgpt-client](./packages/dbgpt-client)
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- [dbgpt-accelerator](./packages/dbgpt-accelerator)
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- [dbgpt-ext](./packages/dbgpt-ext)
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22
README.md
22
README.md
@ -50,14 +50,17 @@ The purpose is to build infrastructure in the field of large models, through the
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### AI-Native Data App
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---
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- 🔥🔥🔥 [Released V0.6.0 | A set of significant upgrades](https://docs.dbgpt.cn/docs/changelog/Released_V0.6.0)
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- [The AWEL upgrade to 2.0]()
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- [GraphRAG]()
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- [AI Native Data App construction and management]()
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- [The GPT-Vis upgrade, supporting a variety of visualization charts]()
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- [Support Text2NLU and Text2GQL fine-tuning]()
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- [Support Intent recognition, slot filling, and Prompt management]()
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- 🔥🔥🔥 [Released V0.7.0 | A set of significant upgrades](https://docs.dbgpt.cn/docs/changelog/Released_V0.6.0)
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- [Suppport MCP Protocol](https://github.com/eosphoros-ai/DB-GPT/pull/2497)
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- [Support DeepSeek R1](https://github.com/deepseek-ai/DeepSeek-R1)
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- [Support QwQ-32B](https://huggingface.co/Qwen/QwQ-32B)
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- [Refactor the basic modules]()
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- [dbgpt-app](./packages/dbgpt-app)
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- [dbgpt-core](./packages/dbgpt-core)
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- [dbgpt-serve](./packages/dbgpt-serve)
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- [dbgpt-client](./packages/dbgpt-client)
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- [dbgpt-accelerator](./packages/dbgpt-accelerator)
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- [dbgpt-ext](./packages/dbgpt-ext)
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---
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@ -115,9 +118,6 @@ The core capabilities include the following parts:
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- [x] XVERSE
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- [x] ChatGLM2
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- SFT Accuracy
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As of October 10, 2023, through the fine-tuning of an open-source model with 13 billion parameters using this project, we have achieved execution accuracy on the Spider dataset that surpasses even GPT-4!
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[More Information about Text2SQL finetune](https://github.com/eosphoros-ai/DB-GPT-Hub)
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- [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins) DB-GPT Plugins that can run Auto-GPT plugin directly
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29
README.zh.md
29
README.zh.md
@ -48,15 +48,16 @@
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### AI原生数据智能应用
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---
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- [V0.6.0发布——一系列重大功能更新](https://www.yuque.com/eosphoros/dbgpt-docs/fho86kk4e9y4rkpd)
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- AWEL协议升级2.0，支持更复杂的编排，同时优化了前端可视化与交互能力。
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- 支持数据应用的创建与生命周期管理，提供多种应用构建模式。1. 多智能体自动规划模式、2. 任务流编排模式、3. 单一智能体模式、4. 原生应用模式
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- GraphRAG支持图社区摘要与混合检索，性能与检索效果有显著优势，同时支持丰富的前端可视化。
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- 支持意图识别、槽位填充与Prompt管理。
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- GPT-Vis前端可视化升级，支持更丰富的可视化图表。
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- 支持Text2NLU与Text2GQL微调, 即新增意图分类与从自然语言到图语言的微调。
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- [V0.7.0发布——一系列重大功能更新](https://www.yuque.com/eosphoros/dbgpt-docs/asweou4i9rhnwchm)
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- [支持MCP协议](https://github.com/eosphoros-ai/DB-GPT/pull/2497)
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- 支持DeepSeek-R1、QwQ-32B等推理模型
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- 重构基础模块
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- [dbgpt-app](./packages/dbgpt-app)
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- [dbgpt-core](./packages/dbgpt-core)
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- [dbgpt-serve](./packages/dbgpt-serve)
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- [dbgpt-client](./packages/dbgpt-client)
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- [dbgpt-accelerator](./packages/dbgpt-accelerator)
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- [dbgpt-ext](./packages/dbgpt-ext)
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### Data Agents
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@ -316,16 +317,6 @@ The MIT License (MIT)
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钉钉
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</p>
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</figure>
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<figure style="display: flex; flex-direction: column;">
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<img src="./assets/wechat.jpg" alt="图片1" style="width: 200px;">
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<p style="text-align: center;">
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微信
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</p>
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</figure>
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</div>
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<!-- <p align="center">
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<img src="./assets/wechat.jpg" width="300px" />
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</p> -->
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[](https://star-history.com/#csunny/DB-GPT)
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@ -3,7 +3,7 @@
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from contextlib import contextmanager
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from typing import Dict, Iterator, List, Optional, Type, Union
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from sqlalchemy import URL
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from sqlalchemy import URL, inspect
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from sqlalchemy.orm import DeclarativeMeta, Session
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from dbgpt.core import Serializer
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@ -20,11 +20,12 @@ from .db_manager import BaseModel, BaseQuery, DatabaseManager
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def _copy_public_properties(src: BaseModel, dest: BaseModel):
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"""Copy public properties from src to dest."""
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for column in src.__table__.columns: # type: ignore
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if column.name != "id":
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value = getattr(src, column.name)
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for column in inspect(src).mapper.column_attrs:
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if column.key != "id":
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alais = column.key
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value = getattr(src, alais)
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if value is not None:
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setattr(dest, column.name, value)
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setattr(dest, column.key, value)
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class SQLAlchemyStorage(StorageInterface[T, BaseModel]):
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