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app.py
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)
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app.
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import networkx as nx
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import matplotlib.pyplot as plt
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import gradio as gr
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import io
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import base64
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import requests
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import json
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import os
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# Env Vars
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METABASE_USERNAME = os.getenv('METABASE_USERNAME')
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METABASE_PASSWORD = os.getenv('METABASE_PASSWORD')
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def query_metabase(username, password, class_code, card_id, user_id):
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try:
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# 获取会话令牌
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session_response = requests.post(
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'https://metabase.cloud.junyiacademy.org/api/session',
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headers={'Content-Type': 'application/json'},
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json={'username': username, 'password': password}
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)
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session_response.raise_for_status()
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session_token = session_response.json()['id']
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print(f"Session token: {session_token}")
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# 打印请求信息
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request_payload = {
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"parameters": [
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{
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"type": "category",
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"target": ["variable", ["template-tag", "class_code"]],
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"value": class_code
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},
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{
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"type": "category",
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"target": ["variable", ["template-tag", "user_id"]],
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"value": user_id
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}
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]
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}
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print(f"Request payload: {json.dumps(request_payload, indent=2)}")
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# 使用提供的 card_id 查询 Metabase 卡片
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query_response = requests.post(
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f'https://metabase.cloud.junyiacademy.org/api/card/{card_id}/query/json',
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headers={
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'Content-Type': 'application/json',
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'X-Metabase-Session': session_token
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},
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json=request_payload
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)
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# 打印响应状态码和内容
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print(f"Response status code: {query_response.status_code}")
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print(f"Response content: {query_response.text}")
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query_response.raise_for_status()
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return query_response.json()
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except requests.RequestException as e:
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print(f"Failed to query Metabase card: {str(e)}")
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return {"error": f"Failed to query Metabase card: {str(e)}"}
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except Exception as e:
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print(f"Error: {str(e)}")
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return {"error": str(e)}
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# 创建一个DAG
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def create_knowledge_dag():
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G = nx.DiGraph()
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# 添加节点
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G.add_node("jnc-4-05-1-1", label="真分數、假分數與帶分數的命名及說、讀、聽、寫、做")
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G.add_node("jnc-4-05-2-1", label="假分數與帶分數的互換")
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G.add_node("jnc-4-05-3-1", label="同分母分數的大小比較")
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G.add_node("jnc-4-05-3-2", label="同分母分數的加減")
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G.add_node("jnc-4-05-3-3", label="分數的整數倍")
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G.add_node("jnc-4-06-1-1", label="認識等值分數")
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G.add_node("jnc-4-06-1-2", label="找出等值分數")
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G.add_node("jnc-4-06-2-1", label="簡單異分母分數的比較")
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G.add_node("jnc-4-06-2-2", label="簡單異分母分數的加減")
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G.add_node("jnc-4-06-3-1", label="分數與一位小數的互換")
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G.add_node("jnc-4-06-3-2", label="分數與二位小數的互換")
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G.add_node("jnc-4-08-2-1", label="認識分數數線")
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G.add_node("jnc-4-08-2-2", label="數線的整數、分數、小數")
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# 添加边
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G.add_edge("jnc-4-05-1-1", "jnc-4-05-2-1")
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G.add_edge("jnc-4-05-1-1", "jnc-4-05-3-1")
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G.add_edge("jnc-4-05-2-1", "jnc-4-05-3-1")
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G.add_edge("jnc-4-05-1-1", "jnc-4-05-3-2")
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G.add_edge("jnc-4-05-2-1", "jnc-4-05-3-2")
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G.add_edge("jnc-4-05-2-1", "jnc-4-05-3-3")
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G.add_edge("jnc-4-05-3-2", "jnc-4-05-3-3")
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G.add_edge("jnc-4-05-1-1", "jnc-4-06-1-1")
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G.add_edge("jnc-4-06-1-1", "jnc-4-06-1-2")
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G.add_edge("jnc-4-06-1-1", "jnc-4-06-2-1")
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G.add_edge("jnc-4-06-1-2", "jnc-4-06-2-1")
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G.add_edge("jnc-4-06-1-1", "jnc-4-06-2-2")
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G.add_edge("jnc-4-06-1-2", "jnc-4-06-2-2")
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G.add_edge("jnc-4-06-3-1", "jnc-4-06-3-2")
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G.add_edge("jnc-4-05-1-1", "jnc-4-08-2-1")
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G.add_edge("jnc-4-08-2-1", "jnc-4-08-2-2")
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G.add_edge("jnc-4-05-1-1", "jnc-4-06-3-1")
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return G
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# 绘制DAG并返回图像数据
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def plot_knowledge_dag():
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G = create_knowledge_dag()
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plt.figure(figsize=(10, 8))
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pos = nx.spring_layout(G)
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nx.draw(G, pos, with_labels=True, node_color='skyblue', node_size=2000, edge_color='gray', linewidths=2, font_size=10, font_weight='bold')
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labels = nx.get_node_attributes(G, 'label')
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nx.draw_networkx_labels(G, pos, labels, font_size=8, font_color='black')
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buf = io.BytesIO()
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plt.savefig(buf, format='png')
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buf.seek(0)
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return base64.b64encode(buf.read()).decode('utf-8')
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# 定义Gradio接口
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def show_knowledge_dag(result):
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if 'error' in result:
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return result['error']
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image_data = plot_knowledge_dag()
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return f'<img src="data:image/png;base64,{image_data}"/>'
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with gr.Blocks() as app:
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gr.Markdown("# Metabase Query and Visualization")
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with gr.Row():
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username = gr.Textbox(label="Metabase Username", value="purpleice9765@msn.com")
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password = gr.Textbox(label="Metabase Password", type="password", value=METABASE_PASSWORD)
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with gr.Row():
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class_code = gr.Textbox(label="Class Code", value="class2")
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card_id = gr.Textbox(label="Card ID", value="6267")
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user_id = gr.Textbox(label="User ID", value="stu26")
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result = gr.JSON(label="Query Result")
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graph_html = gr.HTML()
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query_button = gr.Button("Fetch Data")
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query_button.click(
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fn=query_metabase,
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inputs=[username, password, class_code, card_id, user_id],
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outputs=result
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)
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result.change(
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fn=show_knowledge_dag,
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inputs=result,
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outputs=graph_html
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)
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app.launch()
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