Create app.py

app.py

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+import os
+import json
+from collections import deque
+
+# 尝试导入 streamlit
+try:
+    import streamlit as st
+except ImportError:
+    # 仅用于本地调试提示
+    print("Streamlit 模块未找到，请确保在 Hugging Face Streamlit 环境下运行")
+    os._exit(1)
+
+# --- 核心数据逻辑 ---
+class FamilySystem:
+    def __init__(self, data_file='family_data.jsonl'):
+        self.people = {}
+        # 确保数据文件名与您上传的一致
+        self.load_data(data_file)
+
+    def load_data(self, path):
+        if not os.path.exists(path):
+            st.error(f"❌ 找不到数据文件: {path}")
+            return
+        try:
+            with open(path, 'r', encoding='utf-8') as f:
+                for line in f:
+                    line = line.strip()
+                    if not line: continue
+                    # 使用最安全的方式解析 JSON，避开所有正则转义陷阱
+                    try:
+                        item = json.loads(line)
+                        if 'n' in item:
+                            self.people[item['n']] = item
+                    except:
+                        continue
+            if self.people:
+                st.sidebar.success(f"✅ 已加载 {len(self.people)} 位家族成员")
+        except Exception as e:
+            st.error(f"加载失败: {str(e)}")
+
+    def get_path(self, start, end):
+        """跨树 BFS 路径搜索"""
+        if start not in self.people or end not in self.people: return None
+        queue = deque([(start, [])])
+        visited = {start}
+        while queue:
+            curr, path = queue.popleft()
+            if curr == end: return path + [curr]
+            p = self.people.get(curr, {})
+            neighbors = []
+            if p.get('f'): neighbors.append(p['f'])
+            if p.get('m'): neighbors.append(p['m'])
+            sp = p.get('sp', [])
+            if isinstance(sp, list): neighbors.extend(sp)
+            else: neighbors.append(sp)
+            # 反向找子女
+            for name, data in self.people.items():
+                if data.get('f') == curr or data.get('m') == curr:
+                    neighbors.append(name)
+            for nbor in set(neighbors):
+                if nbor and nbor not in visited and nbor in self.people:
+                    visited.add(nbor)
+                    queue.append((nbor, path + [curr]))
+        return None
+
+# --- UI 渲染部分 ---
+# st.set_page_config 必须是第一个调用的 streamlit 命令
+st.set_page_config(page_title="家族网查询系统", layout="wide")
+
+@st.cache_resource
+def init_system():
+    return FamilySystem()
+
+sys = init_system()
+
+st.title("🌳 家族亲属关系查询系统")
+
+tab1, tab2, tab3 = st.tabs(["👤 个人档案", "🕸️ 族网推演", "🔍 关系查询"])
+
+with tab1:
+    name = st.text_input("输入姓名查询：", placeholder="冯宗德")
+    if name in sys.people:
+        p = sys.people[name]
+        col1, col2 = st.columns([1, 2])
+        with col1:
+            photo = f"photos/{name}.jpg"
+            if os.path.exists(photo): st.image(photo)
+            else: st.info("📷 暂无照片")
+        with col2:
+            st.subheader(f"{name} ({p.get('s','?')})")
+            st.write(f"**父/母**：{p.get('f','-')} / {p.get('m','-')}")
+            st.info(f"**生卒信息**：{p.get('info','')}")
+    elif name:
+        st.error("查无此人")
+
+with tab2:
+    st.write("### 20种关系推演")
+    st.caption("该模块将根据《中国亲属称呼精准精简版》逻辑生成。")
+
+with tab3:
+    st.subheader("分析两人关系路径")
+    n1 = st.text_input("起始人", value="冯宗德")
+    n2 = st.text_input("目标人", value="沈兴华")
+    if st.button("开始分析路径"):
+        path = sys.get_path(n1, n2)
+        if path:
+            st.success("🔗 发现连接：")
+            st.code(" → ".join(path))
+        else:
+            st.error("路径不通，未发现关联")
+
+st.divider()
+st.caption("项目约定：基于 n.f.m.sp 结构推演 | 忽略 g 字段")