Update app.py

app.py

@@ -6,8 +6,12 @@ Multi-portal UI integrated: Parent (with Interactive Scale/Assessment), Doctor,
 
 import os
 import sys
+import time
 import logging
 
+# -------------------------------------------------------------------
+# 环境路径与目录初始化
+# -------------------------------------------------------------------
 _backend_dir = os.path.join(os.path.dirname(__file__), "backend")
 sys.path.insert(0, _backend_dir)
 _data_dir = os.path.join(os.path.dirname(__file__), "data")
@@ -25,10 +29,30 @@ def _zerogpu_placeholder():
 # 模拟 12D 评估量表题库数据 (Assessment Scale Item Bank)
 # -------------------------------------------------------------------
 SCALE_ITEMS = [
-    {"id": "q1", "dimension": "专注力 (Attention)", "question": "1. 孩子在完成日常作业或游戏任务时，容易被无关刺激干扰吗？", "options": ["从不", "偶有", "经常", "总是"]},
-    {"id": "q2", "dimension": "工作记忆 (Working Memory)", "question": "2. 给孩子连续下达3个简单口头指令（如：关灯、拿书、坐下），能否准确执行？", "options": ["完全不能", "能完成1项", "能完成2项", "全部准确完成"]},
-    {"id": "q3", "dimension": "抑制控制 (Inhibitory Control)", "question": "3. 在需要轮流等待或遵守规则的场景下，孩子能否控制冲动？", "options": ["极难控制", "需要提醒", "基本可以", "完全没问题"]},
-    {"id": "q4", "dimension": "空间想象 (Spatial Cognition)", "question": "4. 孩子拼图或进行积木搭建时，对空间位置变换的感知表现如何？", "options": ["较困难", "一般", "良好", "极优秀"]}
+    {
+        "id": "q1",
+        "dimension": "专注力 (Attention)",
+        "question": "1. 孩子在完成日常作业或游戏任务时，容易被无关刺激干扰吗？",
+        "options": ["从不", "偶有", "经常", "总是"],
+    },
+    {
+        "id": "q2",
+        "dimension": "工作记忆 (Working Memory)",
+        "question": "2. 给孩子连续下达3个简单口头指令（如：关灯、拿书、坐下），能否准确执行？",
+        "options": ["完全不能", "能完成1项", "能完成2项", "全部准确完成"],
+    },
+    {
+        "id": "q3",
+        "dimension": "抑制控制 (Inhibitory Control)",
+        "question": "3. 在需要轮流等待或遵守规则的场景下，孩子能否控制冲动？",
+        "options": ["极难控制", "需要提醒", "基本可以", "完全没问题"],
+    },
+    {
+        "id": "q4",
+        "dimension": "空间想象 (Spatial Cognition)",
+        "question": "4. 孩子拼图或进行积木搭建时，对空间位置变换的感知表现如何？",
+        "options": ["较困难", "一般", "良好", "极优秀"],
+    },
 ]
 
 # -------------------------------------------------------------------
@@ -38,48 +62,70 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
     gr.Markdown(
         """
         # 💡 12D AI Assessment Engine V2.2
-        **LearningOS C2.0 Enterprise Edition** — 智能化儿童认知能力多端评估与诊断平台
+        **LearningOS V2.0 Enterprise Edition** — 智能化儿童认知能力多端评估与诊断平台
 
         ---
         """
     )
-    
+
     with gr.Tabs():
         # ==================== 1. 👶 家长端 Portal (含评估量表) ====================
         with gr.Tab("👶 家长端 (Parent Portal)"):
             gr.Markdown("### 👶 家长工作台 — 儿童档案与 12D 认知能力评估量表")
-            
+
             with gr.Row():
                 # 左侧：档案管理
                 with gr.Column(scale=1):
                     p_name = gr.Textbox(label="孩子姓名/昵称", value="小敏")
                     p_age = gr.Number(label="年龄", value=7, precision=0)
-                    p_gender = gr.Dropdown(label="性别", choices=["男", "女", "其他"], value="男")
+                    p_gender = gr.Dropdown(
+                        label="性别", choices=["男", "女", "其他"], value="男"
+                    )
                     p_create_btn = gr.Button("➕ 建立儿童档案", variant="primary")
                     p_create_output = gr.JSON(label="档案创建结果")
-                
+
                 # 右侧：量表测评答题区
                 with gr.Column(scale=2):
                     p_child_id = gr.Textbox(label="儿童 ID", value="child_demo_888")
-                    p_start_assess_btn = gr.Button("🚀 加载/发起 12D 评估量表", variant="secondary")
-                    
+                    p_start_assess_btn = gr.Button(
+                        "🚀 加载/发起 12D 评估量表", variant="secondary"
+                    )
+
                     # 评估量表交互区域
                     with gr.Group(visible=False) as scale_group:
                         gr.Markdown("#### 📋 12D AI 认知能力快速筛查量表")
-                        q1_radio = gr.Radio(choices=SCALE_ITEMS[0]["options"], label=f"【{SCALE_ITEMS[0]['dimension']}】 {SCALE_ITEMS[0]['question']}")
-                        q2_radio = gr.Radio(choices=SCALE_ITEMS[1]["options"], label=f"【{SCALE_ITEMS[1]['dimension']}】 {SCALE_ITEMS[1]['question']}")
-                        q3_radio = gr.Radio(choices=SCALE_ITEMS[2]["options"], label=f"【{SCALE_ITEMS[2]['dimension']}】 {SCALE_ITEMS[2]['question']}")
-                        q4_radio = gr.Radio(choices=SCALE_ITEMS[3]["options"], label=f"【{SCALE_ITEMS[3]['dimension']}】 {SCALE_ITEMS[3]['question']}")
-                        
-                        p_submit_answers_btn = gr.Button("📤 提交量表答案并计算分析", variant="primary")
+                        q1_radio = gr.Radio(
+                            choices=SCALE_ITEMS[0]["options"],
+                            label=f"【{SCALE_ITEMS[0]['dimension']}】 {SCALE_ITEMS[0]['question']}",
+                        )
+                        q2_radio = gr.Radio(
+                            choices=SCALE_ITEMS[1]["options"],
+                            label=f"【{SCALE_ITEMS[1]['dimension']}】 {SCALE_ITEMS[1]['question']}",
+                        )
+                        q3_radio = gr.Radio(
+                            choices=SCALE_ITEMS[2]["options"],
+                            label=f"【{SCALE_ITEMS[2]['dimension']}】 {SCALE_ITEMS[2]['question']}",
+                        )
+                        q4_radio = gr.Radio(
+                            choices=SCALE_ITEMS[3]["options"],
+                            label=f"【{SCALE_ITEMS[3]['dimension']}】 {SCALE_ITEMS[3]['question']}",
+                        )
+
+                        p_submit_answers_btn = gr.Button(
+                            "📤 提交量表答案并计算分析", variant="primary"
+                        )
 
                     p_assess_output = gr.JSON(label="评估 Session & 答题结果")
                     p_report_output = gr.JSON(label="📊 智能生成 12D 认知测评报告")
 
-            #逻辑响应
+            # 逻辑响应函数
             def _parent_create_child(name, age, gender):
-                return {"status": "success", "message": f"成功为 {name} ({age}岁, {gender}) 建立档案", "child_id": f"child_{name}_888"}
-            
+                return {
+                    "status": "success",
+                    "message": f"成功为 {name} ({age}岁, {gender}) 建立档案",
+                    "child_id": f"child_{name}_888",
+                }
+
             def _parent_start_assess(child_id):
                 if not child_id:
                     return gr.update(visible=False), {"error": "请输入有效的儿童 ID"}
@@ -88,17 +134,18 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
                     "session_id": "sess_12d_999",
                     "child_id": child_id,
                     "total_items": len(SCALE_ITEMS),
-                    "message": "量表加载成功，请在下方完成评估量表勾选。"
+                    "message": "量表加载成功，请在下方完成评估量表勾选。",
                 }
                 return gr.update(visible=True), session_data
 
             def _parent_submit_scale(child_id, a1, a2, a3, a4):
-                # 简单积分规则计算
-                score_map = {"从不": 100, "偶有": 80, "经常": 60, "总是": 40,
-                             "完全不能": 40, "能完成1项": 60, "能完成2项": 80, "全部准确完成": 100,
-                             "极难控制": 40, "需要提醒": 60, "基本可以": 80, "完全没问题": 100,
-                             "较困难": 40, "一般": 60, "良好": 80, "极优秀": 100}
-                
+                score_map = {
+                    "从不": 100, "偶有": 80, "经常": 60, "总是": 40,
+                    "完全不能": 40, "能完成1项": 60, "能完成2项": 80, "全部准确完成": 100,
+                    "极难控制": 40, "需要提醒": 60, "基本可以": 80, "完全没问题": 100,
+                    "较困难": 40, "一般": 60, "良好": 80, "极优秀": 100,
+                }
+
                 s1 = score_map.get(a1, 70)
                 s2 = score_map.get(a2, 70)
                 s3 = score_map.get(a3, 70)
@@ -112,18 +159,56 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
                         "专注力": s1,
                         "工作记忆": s2,
                         "抑制控制": s3,
-                        "空间想象": s4
+                        "空间想象": s4,
                     },
-                    "strengths": [k for k, v in {"专注力": s1, "工作记忆": s2, "抑制控制": s3, "空间想象": s4}.items() if v >= 80],
-                    "weaknesses": [k for k, v in {"专注力": s1, "工作记忆": s2, "抑制控制": s3, "空间想象": s4}.items() if v < 70],
-                    "ai_suggestions": f"综合得分 {avg_score} 分。" + ("建议多安排专注力训练游戏及户外有氧运动。" if avg_score < 80 else "各项能力表现优异，保持当前���导策略！")
+                    "strengths": [
+                        k
+                        for k, v in {
+                            "专注力": s1,
+                            "工作记忆": s2,
+                            "抑制控制": s3,
+                            "空间想象": s4,
+                        }.items()
+                        if v >= 80
+                    ],
+                    "weaknesses": [
+                        k
+                        for k, v in {
+                            "专注力": s1,
+                            "工作记忆": s2,
+                            "抑制控制": s3,
+                            "空间想象": s4,
+                        }.items()
+                        if v < 70
+                    ],
+                    "ai_suggestions": f"综合得分 {avg_score} 分。"
+                    + (
+                        "建议多安排专注力训练游戏及户外有氧运动。"
+                        if avg_score < 80
+                        else "各项能力表现优异，保持当前引导策略！"
+                    ),
                 }
-                
-                return {"status": "completed", "submitted_answers": {"q1": a1, "q2": a2, "q3": a3, "q4": a4}}, report_data
 
-            p_create_btn.click(_parent_create_child, inputs=[p_name, p_age, p_gender], outputs=p_create_output)
-            p_start_assess_btn.click(_parent_start_assess, inputs=[p_child_id], outputs=[scale_group, p_assess_output])
-            p_submit_answers_btn.click(_parent_submit_scale, inputs=[p_child_id, q1_radio, q2_radio, q3_radio, q4_radio], outputs=[p_assess_output, p_report_output])
+                return {
+                    "status": "completed",
+                    "submitted_answers": {"q1": a1, "q2": a2, "q3": a3, "q4": a4},
+                }, report_data
+
+            p_create_btn.click(
+                _parent_create_child,
+                inputs=[p_name, p_age, p_gender],
+                outputs=p_create_output,
+            )
+            p_start_assess_btn.click(
+                _parent_start_assess,
+                inputs=[p_child_id],
+                outputs=[scale_group, p_assess_output],
+            )
+            p_submit_answers_btn.click(
+                _parent_submit_scale,
+                inputs=[p_child_id, q1_radio, q2_radio, q3_radio, q4_radio],
+                outputs=[p_assess_output, p_report_output],
+            )
 
         # ==================== 2. 👨‍⚕️ 医生端 Portal ====================
         with gr.Tab("👨‍⚕️ 医生端 (Doctor Portal)"):
@@ -133,12 +218,16 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
                     d_child_id = gr.Textbox(label="患者/儿童 ID", value="child_demo_888")
                     d_adhd_score = gr.Slider(0, 10, value=2, label="ADHD 倾向评估分 (0-10)")
                     d_asd_score = gr.Slider(0, 10, value=1, label="ASD 倾向评估分 (0-10)")
-                    d_notes = gr.TextArea(label="临床诊断意见", placeholder="录入医生专业评语或干预方案...")
+                    d_notes = gr.TextArea(
+                        label="临床诊断意见", placeholder="录入医生专业评语或干预方案..."
+                    )
                     d_submit_btn = gr.Button("💾 提交临床诊断报告", variant="primary")
                     d_submit_output = gr.JSON(label="诊断录入结果")
 
                 with gr.Column():
-                    d_twin_btn = gr.Button("🧬 提取临床级数字孪生 (Diagnostic Twin)", variant="secondary")
+                    d_twin_btn = gr.Button(
+                        "🧬 提取临床级数字孪生 (Diagnostic Twin)", variant="secondary"
+                    )
                     d_twin_output = gr.JSON(label="深度多维认知矩阵")
 
             def _doctor_submit_diag(child_id, adhd, asd, notes):
@@ -148,7 +237,7 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
                     "adhd_risk_index": adhd / 10.0,
                     "asd_risk_index": asd / 10.0,
                     "clinical_notes": notes or "未填写评语",
-                    "message": "临床数据已保存至云端电子病历系统"
+                    "message": "临床数据已保存至云端电子病历系统",
                 }
 
             def _doctor_get_twin(child_id):
@@ -158,13 +247,19 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
                         "working_memory": 92,
                         "inhibitory_control": 78,
                         "cognitive_flexibility": 85,
-                        "processing_speed": 88
+                        "processing_speed": 88,
                     },
-                    "neurological_risk": "Low Risk"
+                    "neurological_risk": "Low Risk",
                 }
 
-            d_submit_btn.click(_doctor_submit_diag, inputs=[d_child_id, d_adhd_score, d_asd_score, d_notes], outputs=d_submit_output)
-            d_twin_btn.click(_doctor_get_twin, inputs=[d_child_id], outputs=d_twin_output)
+            d_submit_btn.click(
+                _doctor_submit_diag,
+                inputs=[d_child_id, d_adhd_score, d_asd_score, d_notes],
+                outputs=d_submit_output,
+            )
+            d_twin_btn.click(
+                _doctor_get_twin, inputs=[d_child_id], outputs=d_twin_output
+            )
 
         # ==================== 3. 🏫 学校端 Portal ====================
         with gr.Tab("🏫 学校端 (School Portal)"):
@@ -178,11 +273,18 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
 
                 with gr.Column():
                     s_class_id = gr.Textbox(label="班级 ID", value="class_302")
-                    s_analytics_btn = gr.Button("📈 生成班级群体认知分析", variant="secondary")
+                    s_analytics_btn = gr.Button(
+                        "📈 生成班级群体认知分析", variant="secondary"
+                    )
                     s_analytics_output = gr.JSON(label="班级报告与预警名单")
 
             def _school_batch_import(school, cls):
-                return {"status": "success", "school": school, "class": cls, "imported_students": 45}
+                return {
+                    "status": "success",
+                    "school": school,
+                    "class": cls,
+                    "imported_students": 45,
+                }
 
             def _school_get_analytics(cls_id):
                 return {
@@ -190,11 +292,19 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
                     "total_students": 45,
                     "class_average_score": 81.5,
                     "dimension_averages": {"逻辑": 83, "记忆": 80, "专注": 77},
-                    "attention_warning_list": ["学生_03", "学生_17", "学生_29"]
+                    "attention_warning_list": ["学生_03", "学生_17", "学生_29"],
                 }
 
-            s_batch_btn.click(_school_batch_import, inputs=[s_school_name, s_class_name], outputs=s_batch_output)
-            s_analytics_btn.click(_school_get_analytics, inputs=[s_class_id], outputs=s_analytics_output)
+            s_batch_btn.click(
+                _school_batch_import,
+                inputs=[s_school_name, s_class_name],
+                outputs=s_batch_output,
+            )
+            s_analytics_btn.click(
+                _school_get_analytics,
+                inputs=[s_class_id],
+                outputs=s_analytics_output,
+            )
 
         # ==================== 4. ⚙️ 系统与 API 状态 ====================
         with gr.Tab("⚙️ 系统与 API 文档"):
@@ -214,6 +324,9 @@ with gr.Blocks(title="12D AI Assessment Engine V2.2", theme=gr.themes.Soft()) as
 
             check_btn.click(fn=check_status, outputs=status_box)
 
+# -------------------------------------------------------------------
+# 启动 Gradio 前端服务器
+# -------------------------------------------------------------------
 demo.launch(
     server_name="0.0.0.0",
     server_port=7860,
@@ -224,7 +337,7 @@ demo.launch(
 )
 
 # -------------------------------------------------------------------
-# FastAPI 路由注入与后台逻辑（完全保留原有底层）
+# FastAPI 路由注入与后台逻辑
 # -------------------------------------------------------------------
 from app.api.v1 import tenant, assessment, report, analytics, auth, child
 from app.api.v1.endpoints import billing_audit_demo, offline_sync, compliance
@@ -249,18 +362,31 @@ _static_dir = os.path.join(os.path.dirname(__file__), "backend", "static")
 os.makedirs(_static_dir, exist_ok=True)
 app.mount("/wasm-static", StaticFiles(directory=_static_dir), name="wasm-static")
 
+
 @app.get("/health")
 def health_check():
-    return {"status": "healthy", "engine": "12D AI Assessment Engine V2.2", "version": settings.APP_VERSION}
+    return {
+        "status": "healthy",
+        "engine": "12D AI Assessment Engine V2.2",
+        "version": settings.APP_VERSION,
+    }
+
 
 @app.get("/api")
 def api_info():
-    return {"service": "12D AI Assessment Engine V2.2", "docs": "/docs", "health": "/health"}
+    return {
+        "service": "12D AI Assessment Engine V2.2",
+        "docs": "/docs",
+        "health": "/health",
+    }
+
 
 # -------------------------------------------------------------------
 # 数据库与 Seed 初始化逻辑
 # -------------------------------------------------------------------
-logging.basicConfig(level=logging.INFO, format="%(asctime)s | %(levelname)s | %(name)s | %(message)s")
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s | %(levelname)s | %(name)s | %(message)s"
+)
 _logger = logging.getLogger("main")
 
 try:
@@ -268,21 +394,27 @@ try:
     from app.models.base import Base
     from app.models.auth import User, Role, Permission, Organization
     from app.models.child import Child, Guardian
-    from app.models.assessment import AssessmentItem, AssessmentSession, AssessmentResponse
+    from app.models.assessment import (
+        AssessmentItem,
+        AssessmentSession,
+        AssessmentResponse,
+    )
     from app.models.report import AssessmentReport
     from app.models.tenant import Tenant
     from app.core.audit_logger import AuditLog
+
     Base.metadata.create_all(bind=engine)
     _logger.info("Database tables created/verified.")
     from scripts.seed_database import seed_data
+
     seed_data()
     _logger.info("Demo data seeded successfully.")
 except Exception as e:
     _logger.error(f"Startup initialization error: {e}")
 
+# 主进程保持运行状态
 if __name__ == "__main__":
     try:
-        import time
         while True:
             time.sleep(3600)
     except KeyboardInterrupt: