feat(dataset): 初步完成数据集管理页面和功能

db/dataset_store.py

@@ -3,13 +3,14 @@ import sys
 import json
 from pathlib import Path
 from typing import List
-from tinydb import TinyDB
+from tinydb import TinyDB, Query
+from tinydb.storages import MemoryStorage
 
 # 将项目根目录添加到系统路径中，以便能够导入项目中的其他模块
 sys.path.append(str(Path(__file__).resolve().parent.parent))
 from schema.dataset import dataset, dataset_item, Q_A
 
-def get_all_dataset(workdir: str) -> List[dataset]:
+def get_all_dataset(workdir: str) -> TinyDB:
     """
     扫描workdir/dataset目录下的所有json文件并读取为dataset对象列表
     
@@ -17,25 +18,25 @@ def get_all_dataset(workdir: str) -> List[dataset]:
         workdir (str): 工作目录路径
         
     Returns:
-        List[dataset]: 包含所有数据集对象的列表
+        TinyDB: 包含所有数据集对象的TinyDB对象
     """
     dataset_dir = os.path.join(workdir, "dataset")
     if not os.path.exists(dataset_dir):
-        return []
+        return TinyDB(storage=MemoryStorage)
         
-    datasets = []
+    db = TinyDB(storage=MemoryStorage)
     for filename in os.listdir(dataset_dir):
         if filename.endswith(".json"):
             filepath = os.path.join(dataset_dir, filename)
             try:
                 with open(filepath, "r", encoding="utf-8") as f:
                     data = json.load(f)
-                    datasets.append(dataset(**data))
+                    db.insert(data)
             except (json.JSONDecodeError, Exception) as e:
                 print(f"Error loading dataset file {filename}: {str(e)}")
                 continue
                 
-    return datasets
+    return db
 
 
 if __name__ == "__main__":
@@ -45,5 +46,5 @@ if __name__ == "__main__":
     datasets = get_all_dataset(workdir)
     # 打印结果
     print(f"Found {len(datasets)} datasets:")
-    for ds in datasets:
-        print(f"- {ds.name} (ID: {ds.id})")
+    for ds in datasets.all():
+        print(f"- {ds['name']} (ID: {ds['id']})")

frontend/dataset_manage_page.py

@@ -1,9 +1,28 @@
 import gradio as gr
+from global_var import datasets
 
 def dataset_manage_page():
     with gr.Blocks() as demo:
         gr.Markdown("## 数据集管理")
         with gr.Row():
+            with gr.Column():
+                # 获取数据集列表并设置初始值
+                datasets_list = [str(ds["name"]) for ds in datasets.all()]
+                initial_dataset = datasets_list[0] if datasets_list else None
+                
+                dataset_dropdown = gr.Dropdown(
+                    choices=datasets_list,
+                    value=initial_dataset,  # 设置初始选中项
+                    label="选择数据集",
+                    allow_custom_value=True,
+                    interactive=True
+                )
+                dataset_state = gr.State(value=initial_dataset)  # 用数据集初始值初始化状态
+
             with gr.Column():
                 pass
+
+        # 绑定事件，确保交互时更新状态
+        dataset_dropdown.change(lambda x: x, inputs=dataset_dropdown, outputs=dataset_state)
+
     return demo

global_var.py

@@ -1,6 +1,7 @@
-from db import get_sqlite_engine,get_prompt_tinydb
+from db import get_sqlite_engine, get_prompt_tinydb, get_all_dataset
 from tools import scan_docs_directory
 
 prompt_store = get_prompt_tinydb("workdir")
 sql_engine = get_sqlite_engine("workdir")
-docs = scan_docs_directory("workdir")
+docs = scan_docs_directory("workdir")
+datasets = get_all_dataset("workdir")