重构系统界面与页面命名，全面清除emoji元素并规范专业展示
This commit is contained in:
Chen Xiao
Binary file not shown.
@@ -0,0 +1,12 @@
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[client]
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toolbarMode = "minimal"
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showErrorDetails = false
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[theme]
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primaryColor = "#e94560"
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backgroundColor = "#16213e"
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secondaryBackgroundColor = "#1a1a2e"
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textColor = "#ffffff"
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[browser]
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gatherUsageStats = false
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@@ -15,7 +15,7 @@ logger = logging.getLogger(__name__)
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class BaseAgent:
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"""智能体基类，支持 Token 级流式 LLM 推理与降级逻辑"""
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def __init__(self, name: str, system_prompt: str, role_icon: str = "🤖"):
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def __init__(self, name: str, system_prompt: str, role_icon: str = ""):
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self.name = name
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self.system_prompt = system_prompt
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self.role_icon = role_icon
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@@ -96,20 +96,20 @@ class BaseAgent:
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逐 Token 实时推送到 on_token_callback 渲染打字机效果
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"""
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self.reasoning_trace = []
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self._trace("📝 构建 Context", f"准备【{self.name}】数据与 Prompt")
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self._trace("构建 Context", f"准备【{self.name}】数据与 Prompt")
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client = self._get_client()
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if client is None:
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self._trace("📌 智能体研判", "执行科创风控知识图谱深度分析")
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self._trace("智能体研判", "执行科创风控知识图谱深度分析")
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fallback = self.fallback_inference(prompt)
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self._trace("📄 智能分析输出", fallback)
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self._trace("智能分析输出", fallback)
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return fallback
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self._trace("🔗 大模型连接", f"已连接大模型推理服务 ({self._model})")
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self._trace("大模型连接", f"已连接大模型推理服务 ({self._model})")
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for attempt in range(max_retries + 1):
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try:
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self._trace("🚀 发起流式推理", "正在建立 SSE 流式传输通道...")
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self._trace("发起流式推理", "正在建立 SSE 流式传输通道...")
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t0 = time.time()
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stream_resp = client.chat.completions.create(
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@@ -157,11 +157,11 @@ class BaseAgent:
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full_reasoning = "".join(reasoning_chunks)
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if full_reasoning:
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self._trace("🧠 完整思维链", full_reasoning)
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self._trace("完整思维链", full_reasoning)
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if final_text.strip():
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self._trace("✅ 流式生成完毕", f"耗时 {elapsed:.1f}s | 产出 {len(final_text)} 字符")
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self._trace("📄 原始推理输出", final_text)
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self._trace("流式生成完毕", f"耗时 {elapsed:.1f}s | 产出 {len(final_text)} 字符")
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self._trace("原始推理输出", final_text)
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return final_text
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except Exception as e:
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@@ -169,7 +169,7 @@ class BaseAgent:
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logger.warning(f"[{self.name}] 流式调用尝试 {attempt+1} 失败: {e}")
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# 尝试非流式请求重试
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try:
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self._trace("🔄 智能重试", "正在发起备用推理通道...")
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self._trace("智能重试", "正在发起备用推理通道...")
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resp = client.chat.completions.create(
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model=self._model,
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messages=[
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@@ -187,15 +187,15 @@ class BaseAgent:
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self.on_token_callback("content", final_text)
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except Exception:
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pass
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self._trace("✅ 推理生成完毕", f"产出 {len(final_text)} 字符")
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self._trace("📄 原始推理输出", final_text)
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self._trace("推理生成完毕", f"产出 {len(final_text)} 字符")
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self._trace("原始推理输出", final_text)
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return final_text
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except Exception as e2:
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self._trace("⚡ 传输异常", f"连接中断: {str(e2)}")
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self._trace("传输异常", f"连接中断: {str(e2)}")
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self._trace("📌 智能体专业研判", "完成科创企业特征穿透审查分析")
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self._trace("智能体专业研判", "完成科创企业特征穿透审查分析")
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fallback = self.fallback_inference(prompt)
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self._trace("📄 智能分析输出", fallback)
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self._trace("智能分析输出", fallback)
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return fallback
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def infer_json(self, prompt: str, temperature: float = 0.1) -> dict:
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@@ -207,19 +207,19 @@ class BaseAgent:
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if "```json" in result:
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json_str = result.split("```json")[1].split("```")[0].strip()
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parsed = json.loads(json_str)
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self._trace("✅ 结构解析", "从 Markdown 成功提取 JSON 数据")
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self._trace("结构解析", "从 Markdown 成功提取 JSON 数据")
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return parsed
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elif "```" in result:
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json_str = result.split("```")[1].split("```")[0].strip()
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parsed = json.loads(json_str)
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self._trace("✅ 结构解析", "从代码块成功提取 JSON 数据")
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self._trace("结构解析", "从代码块成功提取 JSON 数据")
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return parsed
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else:
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parsed = json.loads(result)
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self._trace("✅ 结构解析", "直接解析 JSON 成功")
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self._trace("结构解析", "直接解析 JSON 成功")
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return parsed
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except (json.JSONDecodeError, IndexError):
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self._trace("⚠️ 格式适配", "启用自动结构修正")
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self._trace("格式适配", "启用自动结构修正")
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logger.warning(f"[{self.name}] JSON 解析失败，返回原始文本")
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return {"raw_response": result, "parse_error": True}
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@@ -228,4 +228,5 @@ class BaseAgent:
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return json.dumps({"error": "大模型服务处理中，未返回有效结构"}, ensure_ascii=False)
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def __repr__(self):
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return f"{self.role_icon} {self.name}"
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return f"{self.name}"
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@@ -38,39 +38,39 @@ class DebateEngine:
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company_name = company_data.get("short_name", company_data.get("company_name", "未知"))
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start_time = time.time()
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self._log(f"🏁 启动对 [{company_name}] 的多智能体交叉验证辩论")
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self._log(f"启动对 [{company_name}] 的多智能体交叉验证辩论")
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# ==============================
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# Phase 1: 独立研判
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# ==============================
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self._log("=" * 50)
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self._log("📋 Phase 1: 各节点独立研判")
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self._log("Phase 1: 各节点独立研判")
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self._log("=" * 50)
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# 法务节点
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self._log("👩⚖️ 法务风控节点开始评估...")
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self._log("法务风控节点开始评估...")
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if callback:
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callback("law_start", "法务风控节点开始评估...", None)
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law_result = self.law_agent.evaluate(company_data)
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self._log(f"👩⚖️ 法务节点完成: 综合法务风险 {law_result.get('overall_law_risk', {}).get('score', '?')} 分")
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self._log(f"法务节点完成: 综合法务风险 {law_result.get('overall_law_risk', {}).get('score', '?')} 分")
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if callback:
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callback("law_done", "法务风控节点评估完成", law_result)
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# 技术节点
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self._log("👨🔬 技术风控节点开始评估...")
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self._log("技术风控节点开始评估...")
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if callback:
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callback("tech_start", "技术风控节点开始评估...", None)
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tech_result = self.tech_agent.evaluate(company_data)
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self._log(f"👨🔬 技术节点完成: 综合技术风险 {tech_result.get('overall_tech_risk', {}).get('score', '?')} 分")
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self._log(f"技术节点完成: 综合技术风险 {tech_result.get('overall_tech_risk', {}).get('score', '?')} 分")
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if callback:
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callback("tech_done", "技术风控节点评估完成", tech_result)
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# 财务节点
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self._log("👔 财务风控节点开始评估...")
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self._log("财务风控节点开始评估...")
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if callback:
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callback("fin_start", "财务风控节点开始评估...", None)
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finance_result = self.finance_agent.evaluate(company_data)
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self._log(f"👔 财务节点完成: 综合财务风险 {finance_result.get('overall_fin_risk', {}).get('score', '?')} 分")
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self._log(f"财务节点完成: 综合财务风险 {finance_result.get('overall_fin_risk', {}).get('score', '?')} 分")
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if callback:
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callback("fin_done", "财务风控节点评估完成", finance_result)
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@@ -78,14 +78,14 @@ class DebateEngine:
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# Phase 2: 交叉质证（记录冲突点）
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# ==============================
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self._log("=" * 50)
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self._log("🔄 Phase 2: 交叉质证")
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self._log("Phase 2: 交叉质证")
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self._log("=" * 50)
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conflicts = self._identify_conflicts(law_result, tech_result, finance_result)
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for conflict in conflicts:
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self._log(f"⚠️ 冲突: {conflict}")
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self._log(f"冲突: {conflict}")
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if not conflicts:
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self._log("✅ 各节点意见一致，无冲突")
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self._log("各节点意见一致，无冲突")
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if callback:
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callback("cross_validation", "交叉质证完成", {"conflicts": conflicts})
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@@ -94,7 +94,7 @@ class DebateEngine:
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# Phase 3: 综合裁决
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# ==============================
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self._log("=" * 50)
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self._log("⚖️ Phase 3: 综合裁决")
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self._log("Phase 3: 综合裁决")
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self._log("=" * 50)
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if callback:
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@@ -102,13 +102,13 @@ class DebateEngine:
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judge_result = self.judge_agent.evaluate(
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company_data, law_result, tech_result, finance_result
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)
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self._log(f"⚖️ 综合评分: {judge_result.get('comprehensive_score', '?')} 分")
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self._log(f"⚖️ 核保建议: 【{judge_result.get('underwriting_decision', '?')}】")
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self._log(f"综合评分: {judge_result.get('comprehensive_score', '?')} 分")
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self._log(f"核保建议: 【{judge_result.get('underwriting_decision', '?')}】")
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if callback:
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callback("judge_done", "综合裁决完成", judge_result)
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elapsed = time.time() - start_time
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self._log(f"🏁 辩论完成，耗时 {elapsed:.1f} 秒")
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self._log(f"辩论完成，耗时 {elapsed:.1f} 秒")
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return {
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"company": company_name,
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@@ -41,7 +41,7 @@ class FinanceAgent(BaseAgent):
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super().__init__(
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name="财务风控节点",
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system_prompt=FIN_SYSTEM_PROMPT,
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role_icon="👔",
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role_icon="",
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)
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def evaluate(self, company_data: dict) -> dict:
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@@ -49,7 +49,7 @@ class JudgeAgent(BaseAgent):
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super().__init__(
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name="综合裁决节点",
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system_prompt=JUDGE_SYSTEM_PROMPT,
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role_icon="⚖️",
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role_icon="",
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)
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def evaluate(self, company_data: dict, law_result: dict,
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@@ -72,13 +72,13 @@ class JudgeAgent(BaseAgent):
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企业名称：{company_data.get('short_name', '未知')}
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行业：{company_data.get('industry', '未知')}
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=== 👩⚖️ 法务风控节点评估 ===
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=== 法务风控节点评估 ===
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{json.dumps(law_result, ensure_ascii=False, indent=2)}
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=== 👨🔬 技术风控节点评估 ===
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=== 技术风控节点评估 ===
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{json.dumps(tech_result, ensure_ascii=False, indent=2)}
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=== 👔 财务风控节点评估 ===
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=== 财务风控节点评估 ===
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{json.dumps(finance_result, ensure_ascii=False, indent=2)}
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请消解可能存在的判定冲突，输出综合裁决JSON。"""
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@@ -40,7 +40,7 @@ class LawAgent(BaseAgent):
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super().__init__(
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name="法务风控节点",
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system_prompt=LAW_SYSTEM_PROMPT,
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role_icon="👩⚖️",
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role_icon="",
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)
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def evaluate(self, company_data: dict) -> dict:
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@@ -36,7 +36,7 @@ class TechAgent(BaseAgent):
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super().__init__(
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name="技术风控节点",
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system_prompt=TECH_SYSTEM_PROMPT,
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role_icon="👨🔬",
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role_icon="",
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)
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def evaluate(self, company_data: dict) -> dict:
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@@ -0,0 +1,14 @@
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# -*- coding: utf-8 -*-
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"""
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科创企业智能风控与核保系统 - 主入口转接脚本
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自动重定向并加载 `系统首页.py`
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"""
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import runpy
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import os
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import sys
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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home_script = os.path.join(os.path.dirname(os.path.abspath(__file__)), "系统首页.py")
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runpy.run_path(home_script, run_name="__main__")
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@@ -76,6 +76,7 @@ INSURANCE_PRODUCTS = {
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# ============================================================
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# Streamlit 页面配置
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# ============================================================
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PAGE_TITLE = "🛡️ 科创企业智能风控与核保系统"
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PAGE_ICON = "🛡️"
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PAGE_TITLE = "科创企业智能风控与核保系统"
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PAGE_ICON = None
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LAYOUT = "wide"
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@@ -94,7 +94,7 @@ def generate_interactive_graph(
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label = node.split("@")[0] if "@" in node else node
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title_parts = [f"<b>{label}</b>", f"类型: {node_type}"]
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if data.get("is_sanctioned"):
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title_parts.append("⚠️ <b>已被制裁</b>")
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title_parts.append("<b>[已被制裁]</b>")
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if data.get("stock_code"):
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title_parts.append(f"代码: {data['stock_code']}")
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if data.get("industry"):
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@@ -157,7 +157,7 @@ def _generate_fallback_html(G: nx.DiGraph) -> str:
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return f"""
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<html><body style='background: #1a1a2e; color: white; padding: 20px;'>
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<h2>📊 知识图谱节点列表（pyvis 未安装，使用简化视图）</h2>
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<h2>知识图谱节点列表（pyvis 未安装，使用简化视图）</h2>
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<p>节点数: {G.number_of_nodes()} | 边数: {G.number_of_edges()}</p>
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<ul>{''.join(nodes_info[:50])}</ul>
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<p style='color: #888;'>安装 pyvis 以获得交互式可视化: pip install pyvis</p>
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@@ -0,0 +1,189 @@
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function neighbourhoodHighlight(params) {
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// console.log("in nieghbourhoodhighlight");
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allNodes = nodes.get({ returnType: "Object" });
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// originalNodes = JSON.parse(JSON.stringify(allNodes));
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// if something is selected:
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if (params.nodes.length > 0) {
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highlightActive = true;
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var i, j;
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var selectedNode = params.nodes[0];
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var degrees = 2;
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// mark all nodes as hard to read.
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for (let nodeId in allNodes) {
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// nodeColors[nodeId] = allNodes[nodeId].color;
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allNodes[nodeId].color = "rgba(200,200,200,0.5)";
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if (allNodes[nodeId].hiddenLabel === undefined) {
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allNodes[nodeId].hiddenLabel = allNodes[nodeId].label;
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allNodes[nodeId].label = undefined;
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}
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}
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var connectedNodes = network.getConnectedNodes(selectedNode);
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var allConnectedNodes = [];
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// get the second degree nodes
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for (i = 1; i < degrees; i++) {
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for (j = 0; j < connectedNodes.length; j++) {
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allConnectedNodes = allConnectedNodes.concat(
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network.getConnectedNodes(connectedNodes[j])
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);
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}
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}
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// all second degree nodes get a different color and their label back
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for (i = 0; i < allConnectedNodes.length; i++) {
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// allNodes[allConnectedNodes[i]].color = "pink";
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allNodes[allConnectedNodes[i]].color = "rgba(150,150,150,0.75)";
|
||||
if (allNodes[allConnectedNodes[i]].hiddenLabel !== undefined) {
|
||||
allNodes[allConnectedNodes[i]].label =
|
||||
allNodes[allConnectedNodes[i]].hiddenLabel;
|
||||
allNodes[allConnectedNodes[i]].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
// all first degree nodes get their own color and their label back
|
||||
for (i = 0; i < connectedNodes.length; i++) {
|
||||
// allNodes[connectedNodes[i]].color = undefined;
|
||||
allNodes[connectedNodes[i]].color = nodeColors[connectedNodes[i]];
|
||||
if (allNodes[connectedNodes[i]].hiddenLabel !== undefined) {
|
||||
allNodes[connectedNodes[i]].label =
|
||||
allNodes[connectedNodes[i]].hiddenLabel;
|
||||
allNodes[connectedNodes[i]].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
// the main node gets its own color and its label back.
|
||||
// allNodes[selectedNode].color = undefined;
|
||||
allNodes[selectedNode].color = nodeColors[selectedNode];
|
||||
if (allNodes[selectedNode].hiddenLabel !== undefined) {
|
||||
allNodes[selectedNode].label = allNodes[selectedNode].hiddenLabel;
|
||||
allNodes[selectedNode].hiddenLabel = undefined;
|
||||
}
|
||||
} else if (highlightActive === true) {
|
||||
// console.log("highlightActive was true");
|
||||
// reset all nodes
|
||||
for (let nodeId in allNodes) {
|
||||
// allNodes[nodeId].color = "purple";
|
||||
allNodes[nodeId].color = nodeColors[nodeId];
|
||||
// delete allNodes[nodeId].color;
|
||||
if (allNodes[nodeId].hiddenLabel !== undefined) {
|
||||
allNodes[nodeId].label = allNodes[nodeId].hiddenLabel;
|
||||
allNodes[nodeId].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
highlightActive = false;
|
||||
}
|
||||
|
||||
// transform the object into an array
|
||||
var updateArray = [];
|
||||
if (params.nodes.length > 0) {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
// console.log(allNodes[nodeId]);
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
} else {
|
||||
// console.log("Nothing was selected");
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
// console.log(allNodes[nodeId]);
|
||||
// allNodes[nodeId].color = {};
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
}
|
||||
}
|
||||
|
||||
function filterHighlight(params) {
|
||||
allNodes = nodes.get({ returnType: "Object" });
|
||||
// if something is selected:
|
||||
if (params.nodes.length > 0) {
|
||||
filterActive = true;
|
||||
let selectedNodes = params.nodes;
|
||||
|
||||
// hiding all nodes and saving the label
|
||||
for (let nodeId in allNodes) {
|
||||
allNodes[nodeId].hidden = true;
|
||||
if (allNodes[nodeId].savedLabel === undefined) {
|
||||
allNodes[nodeId].savedLabel = allNodes[nodeId].label;
|
||||
allNodes[nodeId].label = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
for (let i=0; i < selectedNodes.length; i++) {
|
||||
allNodes[selectedNodes[i]].hidden = false;
|
||||
if (allNodes[selectedNodes[i]].savedLabel !== undefined) {
|
||||
allNodes[selectedNodes[i]].label = allNodes[selectedNodes[i]].savedLabel;
|
||||
allNodes[selectedNodes[i]].savedLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
} else if (filterActive === true) {
|
||||
// reset all nodes
|
||||
for (let nodeId in allNodes) {
|
||||
allNodes[nodeId].hidden = false;
|
||||
if (allNodes[nodeId].savedLabel !== undefined) {
|
||||
allNodes[nodeId].label = allNodes[nodeId].savedLabel;
|
||||
allNodes[nodeId].savedLabel = undefined;
|
||||
}
|
||||
}
|
||||
filterActive = false;
|
||||
}
|
||||
|
||||
// transform the object into an array
|
||||
var updateArray = [];
|
||||
if (params.nodes.length > 0) {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
} else {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
}
|
||||
}
|
||||
|
||||
function selectNode(nodes) {
|
||||
network.selectNodes(nodes);
|
||||
neighbourhoodHighlight({ nodes: nodes });
|
||||
return nodes;
|
||||
}
|
||||
|
||||
function selectNodes(nodes) {
|
||||
network.selectNodes(nodes);
|
||||
filterHighlight({nodes: nodes});
|
||||
return nodes;
|
||||
}
|
||||
|
||||
function highlightFilter(filter) {
|
||||
let selectedNodes = []
|
||||
let selectedProp = filter['property']
|
||||
if (filter['item'] === 'node') {
|
||||
let allNodes = nodes.get({ returnType: "Object" });
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes[nodeId][selectedProp] && filter['value'].includes((allNodes[nodeId][selectedProp]).toString())) {
|
||||
selectedNodes.push(nodeId)
|
||||
}
|
||||
}
|
||||
}
|
||||
else if (filter['item'] === 'edge'){
|
||||
let allEdges = edges.get({returnType: 'object'});
|
||||
// check if the selected property exists for selected edge and select the nodes connected to the edge
|
||||
for (let edge in allEdges) {
|
||||
if (allEdges[edge][selectedProp] && filter['value'].includes((allEdges[edge][selectedProp]).toString())) {
|
||||
selectedNodes.push(allEdges[edge]['from'])
|
||||
selectedNodes.push(allEdges[edge]['to'])
|
||||
}
|
||||
}
|
||||
}
|
||||
selectNodes(selectedNodes)
|
||||
}
|
||||
@@ -0,0 +1,356 @@
|
||||
/**
|
||||
* Tom Select v2.0.0-rc.4
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
*/
|
||||
!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).TomSelect=t()}(this,(function(){"use strict"
|
||||
function e(e,t){e.split(/\s+/).forEach((e=>{t(e)}))}class t{constructor(){this._events={}}on(t,i){e(t,(e=>{this._events[e]=this._events[e]||[],this._events[e].push(i)}))}off(t,i){var s=arguments.length
|
||||
0!==s?e(t,(e=>{if(1===s)return delete this._events[e]
|
||||
e in this._events!=!1&&this._events[e].splice(this._events[e].indexOf(i),1)})):this._events={}}trigger(t,...i){var s=this
|
||||
e(t,(e=>{if(e in s._events!=!1)for(let t of s._events[e])t.apply(s,i)}))}}var i
|
||||
const s="[̀-ͯ·ʾ]",n=new RegExp(s,"g")
|
||||
var o
|
||||
const r={"æ":"ae","ⱥ":"a","ø":"o"},l=new RegExp(Object.keys(r).join("|"),"g"),a=[[67,67],[160,160],[192,438],[452,652],[961,961],[1019,1019],[1083,1083],[1281,1289],[1984,1984],[5095,5095],[7429,7441],[7545,7549],[7680,7935],[8580,8580],[9398,9449],[11360,11391],[42792,42793],[42802,42851],[42873,42897],[42912,42922],[64256,64260],[65313,65338],[65345,65370]],c=e=>e.normalize("NFKD").replace(n,"").toLowerCase().replace(l,(function(e){return r[e]})),d=(e,t="|")=>{if(1==e.length)return e[0]
|
||||
var i=1
|
||||
return e.forEach((e=>{i=Math.max(i,e.length)})),1==i?"["+e.join("")+"]":"(?:"+e.join(t)+")"},p=e=>{if(1===e.length)return[[e]]
|
||||
var t=[]
|
||||
return p(e.substring(1)).forEach((function(i){var s=i.slice(0)
|
||||
s[0]=e.charAt(0)+s[0],t.push(s),(s=i.slice(0)).unshift(e.charAt(0)),t.push(s)})),t},u=e=>{void 0===o&&(o=(()=>{var e={}
|
||||
a.forEach((t=>{for(let s=t[0];s<=t[1];s++){let t=String.fromCharCode(s),n=c(t)
|
||||
if(n!=t.toLowerCase()){n in e||(e[n]=[n])
|
||||
var i=new RegExp(d(e[n]),"iu")
|
||||
t.match(i)||e[n].push(t)}}}))
|
||||
var t=Object.keys(e)
|
||||
t=t.sort(((e,t)=>t.length-e.length)),i=new RegExp("("+d(t)+"[̀-ͯ·ʾ]*)","g")
|
||||
var s={}
|
||||
return t.sort(((e,t)=>e.length-t.length)).forEach((t=>{var i=p(t).map((t=>(t=t.map((t=>e.hasOwnProperty(t)?d(e[t]):t)),d(t,""))))
|
||||
s[t]=d(i)})),s})())
|
||||
return e.normalize("NFKD").toLowerCase().split(i).map((e=>{if(""==e)return""
|
||||
const t=c(e)
|
||||
if(o.hasOwnProperty(t))return o[t]
|
||||
const i=e.normalize("NFC")
|
||||
return i!=e?d([e,i]):e})).join("")},h=(e,t)=>{if(e)return e[t]},g=(e,t)=>{if(e){for(var i,s=t.split(".");(i=s.shift())&&(e=e[i]););return e}},f=(e,t,i)=>{var s,n
|
||||
return e?-1===(n=(e+="").search(t.regex))?0:(s=t.string.length/e.length,0===n&&(s+=.5),s*i):0},v=e=>(e+"").replace(/([\$\(-\+\.\?\[-\^\{-\}])/g,"\\$1"),m=(e,t)=>{var i=e[t]
|
||||
if("function"==typeof i)return i
|
||||
i&&!Array.isArray(i)&&(e[t]=[i])},y=(e,t)=>{if(Array.isArray(e))e.forEach(t)
|
||||
else for(var i in e)e.hasOwnProperty(i)&&t(e[i],i)},O=(e,t)=>"number"==typeof e&&"number"==typeof t?e>t?1:e<t?-1:0:(e=c(e+"").toLowerCase())>(t=c(t+"").toLowerCase())?1:t>e?-1:0
|
||||
class b{constructor(e,t){this.items=e,this.settings=t||{diacritics:!0}}tokenize(e,t,i){if(!e||!e.length)return[]
|
||||
const s=[],n=e.split(/\s+/)
|
||||
var o
|
||||
return i&&(o=new RegExp("^("+Object.keys(i).map(v).join("|")+"):(.*)$")),n.forEach((e=>{let i,n=null,r=null
|
||||
o&&(i=e.match(o))&&(n=i[1],e=i[2]),e.length>0&&(r=v(e),this.settings.diacritics&&(r=u(r)),t&&(r="\\b"+r)),s.push({string:e,regex:r?new RegExp(r,"iu"):null,field:n})})),s}getScoreFunction(e,t){var i=this.prepareSearch(e,t)
|
||||
return this._getScoreFunction(i)}_getScoreFunction(e){const t=e.tokens,i=t.length
|
||||
if(!i)return function(){return 0}
|
||||
const s=e.options.fields,n=e.weights,o=s.length,r=e.getAttrFn
|
||||
if(!o)return function(){return 1}
|
||||
const l=1===o?function(e,t){const i=s[0].field
|
||||
return f(r(t,i),e,n[i])}:function(e,t){var i=0
|
||||
if(e.field){const s=r(t,e.field)
|
||||
!e.regex&&s?i+=1/o:i+=f(s,e,1)}else y(n,((s,n)=>{i+=f(r(t,n),e,s)}))
|
||||
return i/o}
|
||||
return 1===i?function(e){return l(t[0],e)}:"and"===e.options.conjunction?function(e){for(var s,n=0,o=0;n<i;n++){if((s=l(t[n],e))<=0)return 0
|
||||
o+=s}return o/i}:function(e){var s=0
|
||||
return y(t,(t=>{s+=l(t,e)})),s/i}}getSortFunction(e,t){var i=this.prepareSearch(e,t)
|
||||
return this._getSortFunction(i)}_getSortFunction(e){var t,i,s
|
||||
const n=this,o=e.options,r=!e.query&&o.sort_empty?o.sort_empty:o.sort,l=[],a=[]
|
||||
if("function"==typeof r)return r.bind(this)
|
||||
const c=function(t,i){return"$score"===t?i.score:e.getAttrFn(n.items[i.id],t)}
|
||||
if(r)for(t=0,i=r.length;t<i;t++)(e.query||"$score"!==r[t].field)&&l.push(r[t])
|
||||
if(e.query){for(s=!0,t=0,i=l.length;t<i;t++)if("$score"===l[t].field){s=!1
|
||||
break}s&&l.unshift({field:"$score",direction:"desc"})}else for(t=0,i=l.length;t<i;t++)if("$score"===l[t].field){l.splice(t,1)
|
||||
break}for(t=0,i=l.length;t<i;t++)a.push("desc"===l[t].direction?-1:1)
|
||||
const d=l.length
|
||||
if(d){if(1===d){const e=l[0].field,t=a[0]
|
||||
return function(i,s){return t*O(c(e,i),c(e,s))}}return function(e,t){var i,s,n
|
||||
for(i=0;i<d;i++)if(n=l[i].field,s=a[i]*O(c(n,e),c(n,t)))return s
|
||||
return 0}}return null}prepareSearch(e,t){const i={}
|
||||
var s=Object.assign({},t)
|
||||
if(m(s,"sort"),m(s,"sort_empty"),s.fields){m(s,"fields")
|
||||
const e=[]
|
||||
s.fields.forEach((t=>{"string"==typeof t&&(t={field:t,weight:1}),e.push(t),i[t.field]="weight"in t?t.weight:1})),s.fields=e}return{options:s,query:e.toLowerCase().trim(),tokens:this.tokenize(e,s.respect_word_boundaries,i),total:0,items:[],weights:i,getAttrFn:s.nesting?g:h}}search(e,t){var i,s,n=this
|
||||
s=this.prepareSearch(e,t),t=s.options,e=s.query
|
||||
const o=t.score||n._getScoreFunction(s)
|
||||
e.length?y(n.items,((e,n)=>{i=o(e),(!1===t.filter||i>0)&&s.items.push({score:i,id:n})})):y(n.items,((e,t)=>{s.items.push({score:1,id:t})}))
|
||||
const r=n._getSortFunction(s)
|
||||
return r&&s.items.sort(r),s.total=s.items.length,"number"==typeof t.limit&&(s.items=s.items.slice(0,t.limit)),s}}const w=e=>{if(e.jquery)return e[0]
|
||||
if(e instanceof HTMLElement)return e
|
||||
if(e.indexOf("<")>-1){let t=document.createElement("div")
|
||||
return t.innerHTML=e.trim(),t.firstChild}return document.querySelector(e)},_=(e,t)=>{var i=document.createEvent("HTMLEvents")
|
||||
i.initEvent(t,!0,!1),e.dispatchEvent(i)},I=(e,t)=>{Object.assign(e.style,t)},C=(e,...t)=>{var i=A(t);(e=x(e)).map((e=>{i.map((t=>{e.classList.add(t)}))}))},S=(e,...t)=>{var i=A(t);(e=x(e)).map((e=>{i.map((t=>{e.classList.remove(t)}))}))},A=e=>{var t=[]
|
||||
return y(e,(e=>{"string"==typeof e&&(e=e.trim().split(/[\11\12\14\15\40]/)),Array.isArray(e)&&(t=t.concat(e))})),t.filter(Boolean)},x=e=>(Array.isArray(e)||(e=[e]),e),k=(e,t,i)=>{if(!i||i.contains(e))for(;e&&e.matches;){if(e.matches(t))return e
|
||||
e=e.parentNode}},F=(e,t=0)=>t>0?e[e.length-1]:e[0],L=(e,t)=>{if(!e)return-1
|
||||
t=t||e.nodeName
|
||||
for(var i=0;e=e.previousElementSibling;)e.matches(t)&&i++
|
||||
return i},P=(e,t)=>{y(t,((t,i)=>{null==t?e.removeAttribute(i):e.setAttribute(i,""+t)}))},E=(e,t)=>{e.parentNode&&e.parentNode.replaceChild(t,e)},T=(e,t)=>{if(null===t)return
|
||||
if("string"==typeof t){if(!t.length)return
|
||||
t=new RegExp(t,"i")}const i=e=>3===e.nodeType?(e=>{var i=e.data.match(t)
|
||||
if(i&&e.data.length>0){var s=document.createElement("span")
|
||||
s.className="highlight"
|
||||
var n=e.splitText(i.index)
|
||||
n.splitText(i[0].length)
|
||||
var o=n.cloneNode(!0)
|
||||
return s.appendChild(o),E(n,s),1}return 0})(e):((e=>{if(1===e.nodeType&&e.childNodes&&!/(script|style)/i.test(e.tagName)&&("highlight"!==e.className||"SPAN"!==e.tagName))for(var t=0;t<e.childNodes.length;++t)t+=i(e.childNodes[t])})(e),0)
|
||||
i(e)},V="undefined"!=typeof navigator&&/Mac/.test(navigator.userAgent)?"metaKey":"ctrlKey"
|
||||
var j={options:[],optgroups:[],plugins:[],delimiter:",",splitOn:null,persist:!0,diacritics:!0,create:null,createOnBlur:!1,createFilter:null,highlight:!0,openOnFocus:!0,shouldOpen:null,maxOptions:50,maxItems:null,hideSelected:null,duplicates:!1,addPrecedence:!1,selectOnTab:!1,preload:null,allowEmptyOption:!1,loadThrottle:300,loadingClass:"loading",dataAttr:null,optgroupField:"optgroup",valueField:"value",labelField:"text",disabledField:"disabled",optgroupLabelField:"label",optgroupValueField:"value",lockOptgroupOrder:!1,sortField:"$order",searchField:["text"],searchConjunction:"and",mode:null,wrapperClass:"ts-wrapper",controlClass:"ts-control",dropdownClass:"ts-dropdown",dropdownContentClass:"ts-dropdown-content",itemClass:"item",optionClass:"option",dropdownParent:null,copyClassesToDropdown:!1,placeholder:null,hidePlaceholder:null,shouldLoad:function(e){return e.length>0},render:{}}
|
||||
const q=e=>null==e?null:D(e),D=e=>"boolean"==typeof e?e?"1":"0":e+"",N=e=>(e+"").replace(/&/g,"&").replace(/</g,"<").replace(/>/g,">").replace(/"/g,"""),z=(e,t)=>{var i
|
||||
return function(s,n){var o=this
|
||||
i&&(o.loading=Math.max(o.loading-1,0),clearTimeout(i)),i=setTimeout((function(){i=null,o.loadedSearches[s]=!0,e.call(o,s,n)}),t)}},R=(e,t,i)=>{var s,n=e.trigger,o={}
|
||||
for(s in e.trigger=function(){var i=arguments[0]
|
||||
if(-1===t.indexOf(i))return n.apply(e,arguments)
|
||||
o[i]=arguments},i.apply(e,[]),e.trigger=n,o)n.apply(e,o[s])},H=(e,t=!1)=>{e&&(e.preventDefault(),t&&e.stopPropagation())},B=(e,t,i,s)=>{e.addEventListener(t,i,s)},K=(e,t)=>!!t&&(!!t[e]&&1===(t.altKey?1:0)+(t.ctrlKey?1:0)+(t.shiftKey?1:0)+(t.metaKey?1:0)),M=(e,t)=>{const i=e.getAttribute("id")
|
||||
return i||(e.setAttribute("id",t),t)},Q=e=>e.replace(/[\\"']/g,"\\$&"),G=(e,t)=>{t&&e.append(t)}
|
||||
function U(e,t){var i=Object.assign({},j,t),s=i.dataAttr,n=i.labelField,o=i.valueField,r=i.disabledField,l=i.optgroupField,a=i.optgroupLabelField,c=i.optgroupValueField,d=e.tagName.toLowerCase(),p=e.getAttribute("placeholder")||e.getAttribute("data-placeholder")
|
||||
if(!p&&!i.allowEmptyOption){let t=e.querySelector('option[value=""]')
|
||||
t&&(p=t.textContent)}var u,h,g,f,v,m,O={placeholder:p,options:[],optgroups:[],items:[],maxItems:null}
|
||||
return"select"===d?(h=O.options,g={},f=1,v=e=>{var t=Object.assign({},e.dataset),i=s&&t[s]
|
||||
return"string"==typeof i&&i.length&&(t=Object.assign(t,JSON.parse(i))),t},m=(e,t)=>{var s=q(e.value)
|
||||
if(null!=s&&(s||i.allowEmptyOption)){if(g.hasOwnProperty(s)){if(t){var a=g[s][l]
|
||||
a?Array.isArray(a)?a.push(t):g[s][l]=[a,t]:g[s][l]=t}}else{var c=v(e)
|
||||
c[n]=c[n]||e.textContent,c[o]=c[o]||s,c[r]=c[r]||e.disabled,c[l]=c[l]||t,c.$option=e,g[s]=c,h.push(c)}e.selected&&O.items.push(s)}},O.maxItems=e.hasAttribute("multiple")?null:1,y(e.children,(e=>{var t,i,s
|
||||
"optgroup"===(u=e.tagName.toLowerCase())?((s=v(t=e))[a]=s[a]||t.getAttribute("label")||"",s[c]=s[c]||f++,s[r]=s[r]||t.disabled,O.optgroups.push(s),i=s[c],y(t.children,(e=>{m(e,i)}))):"option"===u&&m(e)}))):(()=>{const t=e.getAttribute(s)
|
||||
if(t)O.options=JSON.parse(t),y(O.options,(e=>{O.items.push(e[o])}))
|
||||
else{var r=e.value.trim()||""
|
||||
if(!i.allowEmptyOption&&!r.length)return
|
||||
const t=r.split(i.delimiter)
|
||||
y(t,(e=>{const t={}
|
||||
t[n]=e,t[o]=e,O.options.push(t)})),O.items=t}})(),Object.assign({},j,O,t)}var W=0
|
||||
class J extends(function(e){return e.plugins={},class extends e{constructor(...e){super(...e),this.plugins={names:[],settings:{},requested:{},loaded:{}}}static define(t,i){e.plugins[t]={name:t,fn:i}}initializePlugins(e){var t,i
|
||||
const s=this,n=[]
|
||||
if(Array.isArray(e))e.forEach((e=>{"string"==typeof e?n.push(e):(s.plugins.settings[e.name]=e.options,n.push(e.name))}))
|
||||
else if(e)for(t in e)e.hasOwnProperty(t)&&(s.plugins.settings[t]=e[t],n.push(t))
|
||||
for(;i=n.shift();)s.require(i)}loadPlugin(t){var i=this,s=i.plugins,n=e.plugins[t]
|
||||
if(!e.plugins.hasOwnProperty(t))throw new Error('Unable to find "'+t+'" plugin')
|
||||
s.requested[t]=!0,s.loaded[t]=n.fn.apply(i,[i.plugins.settings[t]||{}]),s.names.push(t)}require(e){var t=this,i=t.plugins
|
||||
if(!t.plugins.loaded.hasOwnProperty(e)){if(i.requested[e])throw new Error('Plugin has circular dependency ("'+e+'")')
|
||||
t.loadPlugin(e)}return i.loaded[e]}}}(t)){constructor(e,t){var i
|
||||
super(),this.order=0,this.isOpen=!1,this.isDisabled=!1,this.isInvalid=!1,this.isValid=!0,this.isLocked=!1,this.isFocused=!1,this.isInputHidden=!1,this.isSetup=!1,this.ignoreFocus=!1,this.hasOptions=!1,this.lastValue="",this.caretPos=0,this.loading=0,this.loadedSearches={},this.activeOption=null,this.activeItems=[],this.optgroups={},this.options={},this.userOptions={},this.items=[],W++
|
||||
var s=w(e)
|
||||
if(s.tomselect)throw new Error("Tom Select already initialized on this element")
|
||||
s.tomselect=this,i=(window.getComputedStyle&&window.getComputedStyle(s,null)).getPropertyValue("direction")
|
||||
const n=U(s,t)
|
||||
this.settings=n,this.input=s,this.tabIndex=s.tabIndex||0,this.is_select_tag="select"===s.tagName.toLowerCase(),this.rtl=/rtl/i.test(i),this.inputId=M(s,"tomselect-"+W),this.isRequired=s.required,this.sifter=new b(this.options,{diacritics:n.diacritics}),n.mode=n.mode||(1===n.maxItems?"single":"multi"),"boolean"!=typeof n.hideSelected&&(n.hideSelected="multi"===n.mode),"boolean"!=typeof n.hidePlaceholder&&(n.hidePlaceholder="multi"!==n.mode)
|
||||
var o=n.createFilter
|
||||
"function"!=typeof o&&("string"==typeof o&&(o=new RegExp(o)),o instanceof RegExp?n.createFilter=e=>o.test(e):n.createFilter=()=>!0),this.initializePlugins(n.plugins),this.setupCallbacks(),this.setupTemplates()
|
||||
const r=w("<div>"),l=w("<div>"),a=this._render("dropdown"),c=w('<div role="listbox" tabindex="-1">'),d=this.input.getAttribute("class")||"",p=n.mode
|
||||
var u
|
||||
if(C(r,n.wrapperClass,d,p),C(l,n.controlClass),G(r,l),C(a,n.dropdownClass,p),n.copyClassesToDropdown&&C(a,d),C(c,n.dropdownContentClass),G(a,c),w(n.dropdownParent||r).appendChild(a),n.hasOwnProperty("controlInput"))n.controlInput?(u=w(n.controlInput),this.focus_node=u):(u=w("<input/>"),this.focus_node=l)
|
||||
else{u=w('<input type="text" autocomplete="off" size="1" />')
|
||||
y(["autocorrect","autocapitalize","autocomplete"],(e=>{s.getAttribute(e)&&P(u,{[e]:s.getAttribute(e)})})),u.tabIndex=-1,l.appendChild(u),this.focus_node=u}this.wrapper=r,this.dropdown=a,this.dropdown_content=c,this.control=l,this.control_input=u,this.setup()}setup(){const e=this,t=e.settings,i=e.control_input,s=e.dropdown,n=e.dropdown_content,o=e.wrapper,r=e.control,l=e.input,a=e.focus_node,c={passive:!0},d=e.inputId+"-ts-dropdown"
|
||||
P(n,{id:d}),P(a,{role:"combobox","aria-haspopup":"listbox","aria-expanded":"false","aria-controls":d})
|
||||
const p=M(a,e.inputId+"-ts-control"),u="label[for='"+(e=>e.replace(/['"\\]/g,"\\$&"))(e.inputId)+"']",h=document.querySelector(u),g=e.focus.bind(e)
|
||||
if(h){B(h,"click",g),P(h,{for:p})
|
||||
const t=M(h,e.inputId+"-ts-label")
|
||||
P(a,{"aria-labelledby":t}),P(n,{"aria-labelledby":t})}if(o.style.width=l.style.width,e.plugins.names.length){const t="plugin-"+e.plugins.names.join(" plugin-")
|
||||
C([o,s],t)}(null===t.maxItems||t.maxItems>1)&&e.is_select_tag&&P(l,{multiple:"multiple"}),e.settings.placeholder&&P(i,{placeholder:t.placeholder}),!e.settings.splitOn&&e.settings.delimiter&&(e.settings.splitOn=new RegExp("\\s*"+v(e.settings.delimiter)+"+\\s*")),t.load&&t.loadThrottle&&(t.load=z(t.load,t.loadThrottle)),e.control_input.type=l.type,B(s,"click",(t=>{const i=k(t.target,"[data-selectable]")
|
||||
i&&(e.onOptionSelect(t,i),H(t,!0))})),B(r,"click",(t=>{var s=k(t.target,"[data-ts-item]",r)
|
||||
s&&e.onItemSelect(t,s)?H(t,!0):""==i.value&&(e.onClick(),H(t,!0))})),B(i,"mousedown",(e=>{""!==i.value&&e.stopPropagation()})),B(a,"keydown",(t=>e.onKeyDown(t))),B(i,"keypress",(t=>e.onKeyPress(t))),B(i,"input",(t=>e.onInput(t))),B(a,"resize",(()=>e.positionDropdown()),c),B(a,"blur",(t=>e.onBlur(t))),B(a,"focus",(t=>e.onFocus(t))),B(a,"paste",(t=>e.onPaste(t)))
|
||||
const f=t=>{const i=t.composedPath()[0]
|
||||
if(!o.contains(i)&&!s.contains(i))return e.isFocused&&e.blur(),void e.inputState()
|
||||
H(t,!0)}
|
||||
var m=()=>{e.isOpen&&e.positionDropdown()}
|
||||
B(document,"mousedown",f),B(window,"scroll",m,c),B(window,"resize",m,c),this._destroy=()=>{document.removeEventListener("mousedown",f),window.removeEventListener("sroll",m),window.removeEventListener("resize",m),h&&h.removeEventListener("click",g)},this.revertSettings={innerHTML:l.innerHTML,tabIndex:l.tabIndex},l.tabIndex=-1,l.insertAdjacentElement("afterend",e.wrapper),e.sync(!1),t.items=[],delete t.optgroups,delete t.options,B(l,"invalid",(t=>{e.isValid&&(e.isValid=!1,e.isInvalid=!0,e.refreshState())})),e.updateOriginalInput(),e.refreshItems(),e.close(!1),e.inputState(),e.isSetup=!0,l.disabled?e.disable():e.enable(),e.on("change",this.onChange),C(l,"tomselected","ts-hidden-accessible"),e.trigger("initialize"),!0===t.preload&&e.preload()}setupOptions(e=[],t=[]){this.addOptions(e),y(t,(e=>{this.registerOptionGroup(e)}))}setupTemplates(){var e=this,t=e.settings.labelField,i=e.settings.optgroupLabelField,s={optgroup:e=>{let t=document.createElement("div")
|
||||
return t.className="optgroup",t.appendChild(e.options),t},optgroup_header:(e,t)=>'<div class="optgroup-header">'+t(e[i])+"</div>",option:(e,i)=>"<div>"+i(e[t])+"</div>",item:(e,i)=>"<div>"+i(e[t])+"</div>",option_create:(e,t)=>'<div class="create">Add <strong>'+t(e.input)+"</strong>…</div>",no_results:()=>'<div class="no-results">No results found</div>',loading:()=>'<div class="spinner"></div>',not_loading:()=>{},dropdown:()=>"<div></div>"}
|
||||
e.settings.render=Object.assign({},s,e.settings.render)}setupCallbacks(){var e,t,i={initialize:"onInitialize",change:"onChange",item_add:"onItemAdd",item_remove:"onItemRemove",item_select:"onItemSelect",clear:"onClear",option_add:"onOptionAdd",option_remove:"onOptionRemove",option_clear:"onOptionClear",optgroup_add:"onOptionGroupAdd",optgroup_remove:"onOptionGroupRemove",optgroup_clear:"onOptionGroupClear",dropdown_open:"onDropdownOpen",dropdown_close:"onDropdownClose",type:"onType",load:"onLoad",focus:"onFocus",blur:"onBlur"}
|
||||
for(e in i)(t=this.settings[i[e]])&&this.on(e,t)}sync(e=!0){const t=this,i=e?U(t.input,{delimiter:t.settings.delimiter}):t.settings
|
||||
t.setupOptions(i.options,i.optgroups),t.setValue(i.items,!0),t.lastQuery=null}onClick(){var e=this
|
||||
if(e.activeItems.length>0)return e.clearActiveItems(),void e.focus()
|
||||
e.isFocused&&e.isOpen?e.blur():e.focus()}onMouseDown(){}onChange(){_(this.input,"input"),_(this.input,"change")}onPaste(e){var t=this
|
||||
t.isFull()||t.isInputHidden||t.isLocked?H(e):t.settings.splitOn&&setTimeout((()=>{var e=t.inputValue()
|
||||
if(e.match(t.settings.splitOn)){var i=e.trim().split(t.settings.splitOn)
|
||||
y(i,(e=>{t.createItem(e)}))}}),0)}onKeyPress(e){var t=this
|
||||
if(!t.isLocked){var i=String.fromCharCode(e.keyCode||e.which)
|
||||
return t.settings.create&&"multi"===t.settings.mode&&i===t.settings.delimiter?(t.createItem(),void H(e)):void 0}H(e)}onKeyDown(e){var t=this
|
||||
if(t.isLocked)9!==e.keyCode&&H(e)
|
||||
else{switch(e.keyCode){case 65:if(K(V,e))return H(e),void t.selectAll()
|
||||
break
|
||||
case 27:return t.isOpen&&(H(e,!0),t.close()),void t.clearActiveItems()
|
||||
case 40:if(!t.isOpen&&t.hasOptions)t.open()
|
||||
else if(t.activeOption){let e=t.getAdjacent(t.activeOption,1)
|
||||
e&&t.setActiveOption(e)}return void H(e)
|
||||
case 38:if(t.activeOption){let e=t.getAdjacent(t.activeOption,-1)
|
||||
e&&t.setActiveOption(e)}return void H(e)
|
||||
case 13:return void(t.isOpen&&t.activeOption?(t.onOptionSelect(e,t.activeOption),H(e)):t.settings.create&&t.createItem()&&H(e))
|
||||
case 37:return void t.advanceSelection(-1,e)
|
||||
case 39:return void t.advanceSelection(1,e)
|
||||
case 9:return void(t.settings.selectOnTab&&(t.isOpen&&t.activeOption&&(t.onOptionSelect(e,t.activeOption),H(e)),t.settings.create&&t.createItem()&&H(e)))
|
||||
case 8:case 46:return void t.deleteSelection(e)}t.isInputHidden&&!K(V,e)&&H(e)}}onInput(e){var t=this
|
||||
if(!t.isLocked){var i=t.inputValue()
|
||||
t.lastValue!==i&&(t.lastValue=i,t.settings.shouldLoad.call(t,i)&&t.load(i),t.refreshOptions(),t.trigger("type",i))}}onFocus(e){var t=this,i=t.isFocused
|
||||
if(t.isDisabled)return t.blur(),void H(e)
|
||||
t.ignoreFocus||(t.isFocused=!0,"focus"===t.settings.preload&&t.preload(),i||t.trigger("focus"),t.activeItems.length||(t.showInput(),t.refreshOptions(!!t.settings.openOnFocus)),t.refreshState())}onBlur(e){if(!1!==document.hasFocus()){var t=this
|
||||
if(t.isFocused){t.isFocused=!1,t.ignoreFocus=!1
|
||||
var i=()=>{t.close(),t.setActiveItem(),t.setCaret(t.items.length),t.trigger("blur")}
|
||||
t.settings.create&&t.settings.createOnBlur?t.createItem(null,!1,i):i()}}}onOptionSelect(e,t){var i,s=this
|
||||
t&&(t.parentElement&&t.parentElement.matches("[data-disabled]")||(t.classList.contains("create")?s.createItem(null,!0,(()=>{s.settings.closeAfterSelect&&s.close()})):void 0!==(i=t.dataset.value)&&(s.lastQuery=null,s.addItem(i),s.settings.closeAfterSelect&&s.close(),!s.settings.hideSelected&&e.type&&/click/.test(e.type)&&s.setActiveOption(t))))}onItemSelect(e,t){var i=this
|
||||
return!i.isLocked&&"multi"===i.settings.mode&&(H(e),i.setActiveItem(t,e),!0)}canLoad(e){return!!this.settings.load&&!this.loadedSearches.hasOwnProperty(e)}load(e){const t=this
|
||||
if(!t.canLoad(e))return
|
||||
C(t.wrapper,t.settings.loadingClass),t.loading++
|
||||
const i=t.loadCallback.bind(t)
|
||||
t.settings.load.call(t,e,i)}loadCallback(e,t){const i=this
|
||||
i.loading=Math.max(i.loading-1,0),i.lastQuery=null,i.clearActiveOption(),i.setupOptions(e,t),i.refreshOptions(i.isFocused&&!i.isInputHidden),i.loading||S(i.wrapper,i.settings.loadingClass),i.trigger("load",e,t)}preload(){var e=this.wrapper.classList
|
||||
e.contains("preloaded")||(e.add("preloaded"),this.load(""))}setTextboxValue(e=""){var t=this.control_input
|
||||
t.value!==e&&(t.value=e,_(t,"update"),this.lastValue=e)}getValue(){return this.is_select_tag&&this.input.hasAttribute("multiple")?this.items:this.items.join(this.settings.delimiter)}setValue(e,t){R(this,t?[]:["change"],(()=>{this.clear(t),this.addItems(e,t)}))}setMaxItems(e){0===e&&(e=null),this.settings.maxItems=e,this.refreshState()}setActiveItem(e,t){var i,s,n,o,r,l,a=this
|
||||
if("single"!==a.settings.mode){if(!e)return a.clearActiveItems(),void(a.isFocused&&a.showInput())
|
||||
if("click"===(i=t&&t.type.toLowerCase())&&K("shiftKey",t)&&a.activeItems.length){for(l=a.getLastActive(),(n=Array.prototype.indexOf.call(a.control.children,l))>(o=Array.prototype.indexOf.call(a.control.children,e))&&(r=n,n=o,o=r),s=n;s<=o;s++)e=a.control.children[s],-1===a.activeItems.indexOf(e)&&a.setActiveItemClass(e)
|
||||
H(t)}else"click"===i&&K(V,t)||"keydown"===i&&K("shiftKey",t)?e.classList.contains("active")?a.removeActiveItem(e):a.setActiveItemClass(e):(a.clearActiveItems(),a.setActiveItemClass(e))
|
||||
a.hideInput(),a.isFocused||a.focus()}}setActiveItemClass(e){const t=this,i=t.control.querySelector(".last-active")
|
||||
i&&S(i,"last-active"),C(e,"active last-active"),t.trigger("item_select",e),-1==t.activeItems.indexOf(e)&&t.activeItems.push(e)}removeActiveItem(e){var t=this.activeItems.indexOf(e)
|
||||
this.activeItems.splice(t,1),S(e,"active")}clearActiveItems(){S(this.activeItems,"active"),this.activeItems=[]}setActiveOption(e){e!==this.activeOption&&(this.clearActiveOption(),e&&(this.activeOption=e,P(this.focus_node,{"aria-activedescendant":e.getAttribute("id")}),P(e,{"aria-selected":"true"}),C(e,"active"),this.scrollToOption(e)))}scrollToOption(e,t){if(!e)return
|
||||
const i=this.dropdown_content,s=i.clientHeight,n=i.scrollTop||0,o=e.offsetHeight,r=e.getBoundingClientRect().top-i.getBoundingClientRect().top+n
|
||||
r+o>s+n?this.scroll(r-s+o,t):r<n&&this.scroll(r,t)}scroll(e,t){const i=this.dropdown_content
|
||||
t&&(i.style.scrollBehavior=t),i.scrollTop=e,i.style.scrollBehavior=""}clearActiveOption(){this.activeOption&&(S(this.activeOption,"active"),P(this.activeOption,{"aria-selected":null})),this.activeOption=null,P(this.focus_node,{"aria-activedescendant":null})}selectAll(){if("single"===this.settings.mode)return
|
||||
const e=this.controlChildren()
|
||||
e.length&&(this.hideInput(),this.close(),this.activeItems=e,C(e,"active"))}inputState(){var e=this
|
||||
e.control.contains(e.control_input)&&(P(e.control_input,{placeholder:e.settings.placeholder}),e.activeItems.length>0||!e.isFocused&&e.settings.hidePlaceholder&&e.items.length>0?(e.setTextboxValue(),e.isInputHidden=!0):(e.settings.hidePlaceholder&&e.items.length>0&&P(e.control_input,{placeholder:""}),e.isInputHidden=!1),e.wrapper.classList.toggle("input-hidden",e.isInputHidden))}hideInput(){this.inputState()}showInput(){this.inputState()}inputValue(){return this.control_input.value.trim()}focus(){var e=this
|
||||
e.isDisabled||(e.ignoreFocus=!0,e.control_input.offsetWidth?e.control_input.focus():e.focus_node.focus(),setTimeout((()=>{e.ignoreFocus=!1,e.onFocus()}),0))}blur(){this.focus_node.blur(),this.onBlur()}getScoreFunction(e){return this.sifter.getScoreFunction(e,this.getSearchOptions())}getSearchOptions(){var e=this.settings,t=e.sortField
|
||||
return"string"==typeof e.sortField&&(t=[{field:e.sortField}]),{fields:e.searchField,conjunction:e.searchConjunction,sort:t,nesting:e.nesting}}search(e){var t,i,s,n=this,o=this.getSearchOptions()
|
||||
if(n.settings.score&&"function"!=typeof(s=n.settings.score.call(n,e)))throw new Error('Tom Select "score" setting must be a function that returns a function')
|
||||
if(e!==n.lastQuery?(n.lastQuery=e,i=n.sifter.search(e,Object.assign(o,{score:s})),n.currentResults=i):i=Object.assign({},n.currentResults),n.settings.hideSelected)for(t=i.items.length-1;t>=0;t--){let e=q(i.items[t].id)
|
||||
e&&-1!==n.items.indexOf(e)&&i.items.splice(t,1)}return i}refreshOptions(e=!0){var t,i,s,n,o,r,l,a,c,d,p
|
||||
const u={},h=[]
|
||||
var g,f=this,v=f.inputValue(),m=f.search(v),O=f.activeOption,b=f.settings.shouldOpen||!1,w=f.dropdown_content
|
||||
for(O&&(c=O.dataset.value,d=O.closest("[data-group]")),n=m.items.length,"number"==typeof f.settings.maxOptions&&(n=Math.min(n,f.settings.maxOptions)),n>0&&(b=!0),t=0;t<n;t++){let e=m.items[t].id,n=f.options[e],l=f.getOption(e,!0)
|
||||
for(f.settings.hideSelected||l.classList.toggle("selected",f.items.includes(e)),o=n[f.settings.optgroupField]||"",i=0,s=(r=Array.isArray(o)?o:[o])&&r.length;i<s;i++)o=r[i],f.optgroups.hasOwnProperty(o)||(o=""),u.hasOwnProperty(o)||(u[o]=document.createDocumentFragment(),h.push(o)),i>0&&(l=l.cloneNode(!0),P(l,{id:n.$id+"-clone-"+i,"aria-selected":null}),l.classList.add("ts-cloned"),S(l,"active")),c==e&&d&&d.dataset.group===o&&(O=l),u[o].appendChild(l)}this.settings.lockOptgroupOrder&&h.sort(((e,t)=>(f.optgroups[e]&&f.optgroups[e].$order||0)-(f.optgroups[t]&&f.optgroups[t].$order||0))),l=document.createDocumentFragment(),y(h,(e=>{if(f.optgroups.hasOwnProperty(e)&&u[e].children.length){let t=document.createDocumentFragment(),i=f.render("optgroup_header",f.optgroups[e])
|
||||
G(t,i),G(t,u[e])
|
||||
let s=f.render("optgroup",{group:f.optgroups[e],options:t})
|
||||
G(l,s)}else G(l,u[e])})),w.innerHTML="",G(w,l),f.settings.highlight&&(g=w.querySelectorAll("span.highlight"),Array.prototype.forEach.call(g,(function(e){var t=e.parentNode
|
||||
t.replaceChild(e.firstChild,e),t.normalize()})),m.query.length&&m.tokens.length&&y(m.tokens,(e=>{T(w,e.regex)})))
|
||||
var _=e=>{let t=f.render(e,{input:v})
|
||||
return t&&(b=!0,w.insertBefore(t,w.firstChild)),t}
|
||||
if(f.loading?_("loading"):f.settings.shouldLoad.call(f,v)?0===m.items.length&&_("no_results"):_("not_loading"),(a=f.canCreate(v))&&(p=_("option_create")),f.hasOptions=m.items.length>0||a,b){if(m.items.length>0){if(!w.contains(O)&&"single"===f.settings.mode&&f.items.length&&(O=f.getOption(f.items[0])),!w.contains(O)){let e=0
|
||||
p&&!f.settings.addPrecedence&&(e=1),O=f.selectable()[e]}}else p&&(O=p)
|
||||
e&&!f.isOpen&&(f.open(),f.scrollToOption(O,"auto")),f.setActiveOption(O)}else f.clearActiveOption(),e&&f.isOpen&&f.close(!1)}selectable(){return this.dropdown_content.querySelectorAll("[data-selectable]")}addOption(e,t=!1){const i=this
|
||||
if(Array.isArray(e))return i.addOptions(e,t),!1
|
||||
const s=q(e[i.settings.valueField])
|
||||
return null!==s&&!i.options.hasOwnProperty(s)&&(e.$order=e.$order||++i.order,e.$id=i.inputId+"-opt-"+e.$order,i.options[s]=e,i.lastQuery=null,t&&(i.userOptions[s]=t,i.trigger("option_add",s,e)),s)}addOptions(e,t=!1){y(e,(e=>{this.addOption(e,t)}))}registerOption(e){return this.addOption(e)}registerOptionGroup(e){var t=q(e[this.settings.optgroupValueField])
|
||||
return null!==t&&(e.$order=e.$order||++this.order,this.optgroups[t]=e,t)}addOptionGroup(e,t){var i
|
||||
t[this.settings.optgroupValueField]=e,(i=this.registerOptionGroup(t))&&this.trigger("optgroup_add",i,t)}removeOptionGroup(e){this.optgroups.hasOwnProperty(e)&&(delete this.optgroups[e],this.clearCache(),this.trigger("optgroup_remove",e))}clearOptionGroups(){this.optgroups={},this.clearCache(),this.trigger("optgroup_clear")}updateOption(e,t){const i=this
|
||||
var s,n
|
||||
const o=q(e),r=q(t[i.settings.valueField])
|
||||
if(null===o)return
|
||||
if(!i.options.hasOwnProperty(o))return
|
||||
if("string"!=typeof r)throw new Error("Value must be set in option data")
|
||||
const l=i.getOption(o),a=i.getItem(o)
|
||||
if(t.$order=t.$order||i.options[o].$order,delete i.options[o],i.uncacheValue(r),i.options[r]=t,l){if(i.dropdown_content.contains(l)){const e=i._render("option",t)
|
||||
E(l,e),i.activeOption===l&&i.setActiveOption(e)}l.remove()}a&&(-1!==(n=i.items.indexOf(o))&&i.items.splice(n,1,r),s=i._render("item",t),a.classList.contains("active")&&C(s,"active"),E(a,s)),i.lastQuery=null}removeOption(e,t){const i=this
|
||||
e=D(e),i.uncacheValue(e),delete i.userOptions[e],delete i.options[e],i.lastQuery=null,i.trigger("option_remove",e),i.removeItem(e,t)}clearOptions(){this.loadedSearches={},this.userOptions={},this.clearCache()
|
||||
var e={}
|
||||
y(this.options,((t,i)=>{this.items.indexOf(i)>=0&&(e[i]=this.options[i])})),this.options=this.sifter.items=e,this.lastQuery=null,this.trigger("option_clear")}getOption(e,t=!1){const i=q(e)
|
||||
if(null!==i&&this.options.hasOwnProperty(i)){const e=this.options[i]
|
||||
if(e.$div)return e.$div
|
||||
if(t)return this._render("option",e)}return null}getAdjacent(e,t,i="option"){var s
|
||||
if(!e)return null
|
||||
s="item"==i?this.controlChildren():this.dropdown_content.querySelectorAll("[data-selectable]")
|
||||
for(let i=0;i<s.length;i++)if(s[i]==e)return t>0?s[i+1]:s[i-1]
|
||||
return null}getItem(e){if("object"==typeof e)return e
|
||||
var t=q(e)
|
||||
return null!==t?this.control.querySelector(`[data-value="${Q(t)}"]`):null}addItems(e,t){var i=this,s=Array.isArray(e)?e:[e]
|
||||
for(let e=0,n=(s=s.filter((e=>-1===i.items.indexOf(e)))).length;e<n;e++)i.isPending=e<n-1,i.addItem(s[e],t)}addItem(e,t){R(this,t?[]:["change"],(()=>{var i,s
|
||||
const n=this,o=n.settings.mode,r=q(e)
|
||||
if((!r||-1===n.items.indexOf(r)||("single"===o&&n.close(),"single"!==o&&n.settings.duplicates))&&null!==r&&n.options.hasOwnProperty(r)&&("single"===o&&n.clear(t),"multi"!==o||!n.isFull())){if(i=n._render("item",n.options[r]),n.control.contains(i)&&(i=i.cloneNode(!0)),s=n.isFull(),n.items.splice(n.caretPos,0,r),n.insertAtCaret(i),n.isSetup){if(!n.isPending&&n.settings.hideSelected){let e=n.getOption(r),t=n.getAdjacent(e,1)
|
||||
t&&n.setActiveOption(t)}n.isPending||n.refreshOptions(n.isFocused&&"single"!==o),0!=n.settings.closeAfterSelect&&n.isFull()?n.close():n.isPending||n.positionDropdown(),n.trigger("item_add",r,i),n.isPending||n.updateOriginalInput({silent:t})}(!n.isPending||!s&&n.isFull())&&(n.inputState(),n.refreshState())}}))}removeItem(e=null,t){const i=this
|
||||
if(!(e=i.getItem(e)))return
|
||||
var s,n
|
||||
const o=e.dataset.value
|
||||
s=L(e),e.remove(),e.classList.contains("active")&&(n=i.activeItems.indexOf(e),i.activeItems.splice(n,1),S(e,"active")),i.items.splice(s,1),i.lastQuery=null,!i.settings.persist&&i.userOptions.hasOwnProperty(o)&&i.removeOption(o,t),s<i.caretPos&&i.setCaret(i.caretPos-1),i.updateOriginalInput({silent:t}),i.refreshState(),i.positionDropdown(),i.trigger("item_remove",o,e)}createItem(e=null,t=!0,i=(()=>{})){var s,n=this,o=n.caretPos
|
||||
if(e=e||n.inputValue(),!n.canCreate(e))return i(),!1
|
||||
n.lock()
|
||||
var r=!1,l=e=>{if(n.unlock(),!e||"object"!=typeof e)return i()
|
||||
var s=q(e[n.settings.valueField])
|
||||
if("string"!=typeof s)return i()
|
||||
n.setTextboxValue(),n.addOption(e,!0),n.setCaret(o),n.addItem(s),n.refreshOptions(t&&"single"!==n.settings.mode),i(e),r=!0}
|
||||
return s="function"==typeof n.settings.create?n.settings.create.call(this,e,l):{[n.settings.labelField]:e,[n.settings.valueField]:e},r||l(s),!0}refreshItems(){var e=this
|
||||
e.lastQuery=null,e.isSetup&&e.addItems(e.items),e.updateOriginalInput(),e.refreshState()}refreshState(){const e=this
|
||||
e.refreshValidityState()
|
||||
const t=e.isFull(),i=e.isLocked
|
||||
e.wrapper.classList.toggle("rtl",e.rtl)
|
||||
const s=e.wrapper.classList
|
||||
var n
|
||||
s.toggle("focus",e.isFocused),s.toggle("disabled",e.isDisabled),s.toggle("required",e.isRequired),s.toggle("invalid",!e.isValid),s.toggle("locked",i),s.toggle("full",t),s.toggle("input-active",e.isFocused&&!e.isInputHidden),s.toggle("dropdown-active",e.isOpen),s.toggle("has-options",(n=e.options,0===Object.keys(n).length)),s.toggle("has-items",e.items.length>0)}refreshValidityState(){var e=this
|
||||
e.input.checkValidity&&(e.isValid=e.input.checkValidity(),e.isInvalid=!e.isValid)}isFull(){return null!==this.settings.maxItems&&this.items.length>=this.settings.maxItems}updateOriginalInput(e={}){const t=this
|
||||
var i,s
|
||||
const n=t.input.querySelector('option[value=""]')
|
||||
if(t.is_select_tag){const e=[]
|
||||
function o(i,s,o){return i||(i=w('<option value="'+N(s)+'">'+N(o)+"</option>")),i!=n&&t.input.append(i),e.push(i),i.selected=!0,i}t.input.querySelectorAll("option:checked").forEach((e=>{e.selected=!1})),0==t.items.length&&"single"==t.settings.mode?o(n,"",""):t.items.forEach((n=>{if(i=t.options[n],s=i[t.settings.labelField]||"",e.includes(i.$option)){o(t.input.querySelector(`option[value="${Q(n)}"]:not(:checked)`),n,s)}else i.$option=o(i.$option,n,s)}))}else t.input.value=t.getValue()
|
||||
t.isSetup&&(e.silent||t.trigger("change",t.getValue()))}open(){var e=this
|
||||
e.isLocked||e.isOpen||"multi"===e.settings.mode&&e.isFull()||(e.isOpen=!0,P(e.focus_node,{"aria-expanded":"true"}),e.refreshState(),I(e.dropdown,{visibility:"hidden",display:"block"}),e.positionDropdown(),I(e.dropdown,{visibility:"visible",display:"block"}),e.focus(),e.trigger("dropdown_open",e.dropdown))}close(e=!0){var t=this,i=t.isOpen
|
||||
e&&(t.setTextboxValue(),"single"===t.settings.mode&&t.items.length&&t.hideInput()),t.isOpen=!1,P(t.focus_node,{"aria-expanded":"false"}),I(t.dropdown,{display:"none"}),t.settings.hideSelected&&t.clearActiveOption(),t.refreshState(),i&&t.trigger("dropdown_close",t.dropdown)}positionDropdown(){if("body"===this.settings.dropdownParent){var e=this.control,t=e.getBoundingClientRect(),i=e.offsetHeight+t.top+window.scrollY,s=t.left+window.scrollX
|
||||
I(this.dropdown,{width:t.width+"px",top:i+"px",left:s+"px"})}}clear(e){var t=this
|
||||
if(t.items.length){var i=t.controlChildren()
|
||||
y(i,(e=>{t.removeItem(e,!0)})),t.showInput(),e||t.updateOriginalInput(),t.trigger("clear")}}insertAtCaret(e){const t=this,i=t.caretPos,s=t.control
|
||||
s.insertBefore(e,s.children[i]),t.setCaret(i+1)}deleteSelection(e){var t,i,s,n,o,r=this
|
||||
t=e&&8===e.keyCode?-1:1,i={start:(o=r.control_input).selectionStart||0,length:(o.selectionEnd||0)-(o.selectionStart||0)}
|
||||
const l=[]
|
||||
if(r.activeItems.length)n=F(r.activeItems,t),s=L(n),t>0&&s++,y(r.activeItems,(e=>l.push(e)))
|
||||
else if((r.isFocused||"single"===r.settings.mode)&&r.items.length){const e=r.controlChildren()
|
||||
t<0&&0===i.start&&0===i.length?l.push(e[r.caretPos-1]):t>0&&i.start===r.inputValue().length&&l.push(e[r.caretPos])}const a=l.map((e=>e.dataset.value))
|
||||
if(!a.length||"function"==typeof r.settings.onDelete&&!1===r.settings.onDelete.call(r,a,e))return!1
|
||||
for(H(e,!0),void 0!==s&&r.setCaret(s);l.length;)r.removeItem(l.pop())
|
||||
return r.showInput(),r.positionDropdown(),r.refreshOptions(!1),!0}advanceSelection(e,t){var i,s,n=this
|
||||
n.rtl&&(e*=-1),n.inputValue().length||(K(V,t)||K("shiftKey",t)?(s=(i=n.getLastActive(e))?i.classList.contains("active")?n.getAdjacent(i,e,"item"):i:e>0?n.control_input.nextElementSibling:n.control_input.previousElementSibling)&&(s.classList.contains("active")&&n.removeActiveItem(i),n.setActiveItemClass(s)):n.moveCaret(e))}moveCaret(e){}getLastActive(e){let t=this.control.querySelector(".last-active")
|
||||
if(t)return t
|
||||
var i=this.control.querySelectorAll(".active")
|
||||
return i?F(i,e):void 0}setCaret(e){this.caretPos=this.items.length}controlChildren(){return Array.from(this.control.querySelectorAll("[data-ts-item]"))}lock(){this.close(),this.isLocked=!0,this.refreshState()}unlock(){this.isLocked=!1,this.refreshState()}disable(){var e=this
|
||||
e.input.disabled=!0,e.control_input.disabled=!0,e.focus_node.tabIndex=-1,e.isDisabled=!0,e.lock()}enable(){var e=this
|
||||
e.input.disabled=!1,e.control_input.disabled=!1,e.focus_node.tabIndex=e.tabIndex,e.isDisabled=!1,e.unlock()}destroy(){var e=this,t=e.revertSettings
|
||||
e.trigger("destroy"),e.off(),e.wrapper.remove(),e.dropdown.remove(),e.input.innerHTML=t.innerHTML,e.input.tabIndex=t.tabIndex,S(e.input,"tomselected","ts-hidden-accessible"),e._destroy(),delete e.input.tomselect}render(e,t){return"function"!=typeof this.settings.render[e]?null:this._render(e,t)}_render(e,t){var i,s,n=""
|
||||
const o=this
|
||||
return"option"!==e&&"item"!=e||(n=D(t[o.settings.valueField])),null==(s=o.settings.render[e].call(this,t,N))||(s=w(s),"option"===e||"option_create"===e?t[o.settings.disabledField]?P(s,{"aria-disabled":"true"}):P(s,{"data-selectable":""}):"optgroup"===e&&(i=t.group[o.settings.optgroupValueField],P(s,{"data-group":i}),t.group[o.settings.disabledField]&&P(s,{"data-disabled":""})),"option"!==e&&"item"!==e||(P(s,{"data-value":n}),"item"===e?(C(s,o.settings.itemClass),P(s,{"data-ts-item":""})):(C(s,o.settings.optionClass),P(s,{role:"option",id:t.$id}),o.options[n].$div=s))),s}clearCache(){y(this.options,((e,t)=>{e.$div&&(e.$div.remove(),delete e.$div)}))}uncacheValue(e){const t=this.getOption(e)
|
||||
t&&t.remove()}canCreate(e){return this.settings.create&&e.length>0&&this.settings.createFilter.call(this,e)}hook(e,t,i){var s=this,n=s[t]
|
||||
s[t]=function(){var t,o
|
||||
return"after"===e&&(t=n.apply(s,arguments)),o=i.apply(s,arguments),"instead"===e?o:("before"===e&&(t=n.apply(s,arguments)),t)}}}return J.define("change_listener",(function(){B(this.input,"change",(()=>{this.sync()}))})),J.define("checkbox_options",(function(){var e=this,t=e.onOptionSelect
|
||||
e.settings.hideSelected=!1
|
||||
var i=function(e){setTimeout((()=>{var t=e.querySelector("input")
|
||||
e.classList.contains("selected")?t.checked=!0:t.checked=!1}),1)}
|
||||
e.hook("after","setupTemplates",(()=>{var t=e.settings.render.option
|
||||
e.settings.render.option=(i,s)=>{var n=w(t.call(e,i,s)),o=document.createElement("input")
|
||||
o.addEventListener("click",(function(e){H(e)})),o.type="checkbox"
|
||||
const r=q(i[e.settings.valueField])
|
||||
return r&&e.items.indexOf(r)>-1&&(o.checked=!0),n.prepend(o),n}})),e.on("item_remove",(t=>{var s=e.getOption(t)
|
||||
s&&(s.classList.remove("selected"),i(s))})),e.hook("instead","onOptionSelect",((s,n)=>{if(n.classList.contains("selected"))return n.classList.remove("selected"),e.removeItem(n.dataset.value),e.refreshOptions(),void H(s,!0)
|
||||
t.call(e,s,n),i(n)}))})),J.define("clear_button",(function(e){const t=this,i=Object.assign({className:"clear-button",title:"Clear All",html:e=>`<div class="${e.className}" title="${e.title}">×</div>`},e)
|
||||
t.on("initialize",(()=>{var e=w(i.html(i))
|
||||
e.addEventListener("click",(e=>{t.clear(),"single"===t.settings.mode&&t.settings.allowEmptyOption&&t.addItem(""),e.preventDefault(),e.stopPropagation()})),t.control.appendChild(e)}))})),J.define("drag_drop",(function(){var e=this
|
||||
if(!$.fn.sortable)throw new Error('The "drag_drop" plugin requires jQuery UI "sortable".')
|
||||
if("multi"===e.settings.mode){var t=e.lock,i=e.unlock
|
||||
e.hook("instead","lock",(()=>{var i=$(e.control).data("sortable")
|
||||
return i&&i.disable(),t.call(e)})),e.hook("instead","unlock",(()=>{var t=$(e.control).data("sortable")
|
||||
return t&&t.enable(),i.call(e)})),e.on("initialize",(()=>{var t=$(e.control).sortable({items:"[data-value]",forcePlaceholderSize:!0,disabled:e.isLocked,start:(e,i)=>{i.placeholder.css("width",i.helper.css("width")),t.css({overflow:"visible"})},stop:()=>{t.css({overflow:"hidden"})
|
||||
var i=[]
|
||||
t.children("[data-value]").each((function(){this.dataset.value&&i.push(this.dataset.value)})),e.setValue(i)}})}))}})),J.define("dropdown_header",(function(e){const t=this,i=Object.assign({title:"Untitled",headerClass:"dropdown-header",titleRowClass:"dropdown-header-title",labelClass:"dropdown-header-label",closeClass:"dropdown-header-close",html:e=>'<div class="'+e.headerClass+'"><div class="'+e.titleRowClass+'"><span class="'+e.labelClass+'">'+e.title+'</span><a class="'+e.closeClass+'">×</a></div></div>'},e)
|
||||
t.on("initialize",(()=>{var e=w(i.html(i)),s=e.querySelector("."+i.closeClass)
|
||||
s&&s.addEventListener("click",(e=>{H(e,!0),t.close()})),t.dropdown.insertBefore(e,t.dropdown.firstChild)}))})),J.define("caret_position",(function(){var e=this
|
||||
e.hook("instead","setCaret",(t=>{"single"!==e.settings.mode&&e.control.contains(e.control_input)?(t=Math.max(0,Math.min(e.items.length,t)))==e.caretPos||e.isPending||e.controlChildren().forEach(((i,s)=>{s<t?e.control_input.insertAdjacentElement("beforebegin",i):e.control.appendChild(i)})):t=e.items.length,e.caretPos=t})),e.hook("instead","moveCaret",(t=>{if(!e.isFocused)return
|
||||
const i=e.getLastActive(t)
|
||||
if(i){const s=L(i)
|
||||
e.setCaret(t>0?s+1:s),e.setActiveItem()}else e.setCaret(e.caretPos+t)}))})),J.define("dropdown_input",(function(){var e=this
|
||||
e.settings.shouldOpen=!0,e.hook("before","setup",(()=>{e.focus_node=e.control,C(e.control_input,"dropdown-input")
|
||||
const t=w('<div class="dropdown-input-wrap">')
|
||||
t.append(e.control_input),e.dropdown.insertBefore(t,e.dropdown.firstChild)})),e.on("initialize",(()=>{e.control_input.addEventListener("keydown",(t=>{switch(t.keyCode){case 27:return e.isOpen&&(H(t,!0),e.close()),void e.clearActiveItems()
|
||||
case 9:e.focus_node.tabIndex=-1}return e.onKeyDown.call(e,t)})),e.on("blur",(()=>{e.focus_node.tabIndex=e.isDisabled?-1:e.tabIndex})),e.on("dropdown_open",(()=>{e.control_input.focus()}))
|
||||
const t=e.onBlur
|
||||
e.hook("instead","onBlur",(i=>{if(!i||i.relatedTarget!=e.control_input)return t.call(e)})),B(e.control_input,"blur",(()=>e.onBlur())),e.hook("before","close",(()=>{e.isOpen&&e.focus_node.focus()}))}))})),J.define("input_autogrow",(function(){var e=this
|
||||
e.on("initialize",(()=>{var t=document.createElement("span"),i=e.control_input
|
||||
t.style.cssText="position:absolute; top:-99999px; left:-99999px; width:auto; padding:0; white-space:pre; ",e.wrapper.appendChild(t)
|
||||
for(const e of["letterSpacing","fontSize","fontFamily","fontWeight","textTransform"])t.style[e]=i.style[e]
|
||||
var s=()=>{e.items.length>0?(t.textContent=i.value,i.style.width=t.clientWidth+"px"):i.style.width=""}
|
||||
s(),e.on("update item_add item_remove",s),B(i,"input",s),B(i,"keyup",s),B(i,"blur",s),B(i,"update",s)}))})),J.define("no_backspace_delete",(function(){var e=this,t=e.deleteSelection
|
||||
this.hook("instead","deleteSelection",(i=>!!e.activeItems.length&&t.call(e,i)))})),J.define("no_active_items",(function(){this.hook("instead","setActiveItem",(()=>{})),this.hook("instead","selectAll",(()=>{}))})),J.define("optgroup_columns",(function(){var e=this,t=e.onKeyDown
|
||||
e.hook("instead","onKeyDown",(i=>{var s,n,o,r
|
||||
if(!e.isOpen||37!==i.keyCode&&39!==i.keyCode)return t.call(e,i)
|
||||
r=k(e.activeOption,"[data-group]"),s=L(e.activeOption,"[data-selectable]"),r&&(r=37===i.keyCode?r.previousSibling:r.nextSibling)&&(n=(o=r.querySelectorAll("[data-selectable]"))[Math.min(o.length-1,s)])&&e.setActiveOption(n)}))})),J.define("remove_button",(function(e){const t=Object.assign({label:"×",title:"Remove",className:"remove",append:!0},e)
|
||||
var i=this
|
||||
if(t.append){var s='<a href="javascript:void(0)" class="'+t.className+'" tabindex="-1" title="'+N(t.title)+'">'+t.label+"</a>"
|
||||
i.hook("after","setupTemplates",(()=>{var e=i.settings.render.item
|
||||
i.settings.render.item=(t,n)=>{var o=w(e.call(i,t,n)),r=w(s)
|
||||
return o.appendChild(r),B(r,"mousedown",(e=>{H(e,!0)})),B(r,"click",(e=>{if(H(e,!0),!i.isLocked){var t=o.dataset.value
|
||||
i.removeItem(t),i.refreshOptions(!1)}})),o}}))}})),J.define("restore_on_backspace",(function(e){const t=this,i=Object.assign({text:e=>e[t.settings.labelField]},e)
|
||||
t.on("item_remove",(function(e){if(""===t.control_input.value.trim()){var s=t.options[e]
|
||||
s&&t.setTextboxValue(i.text.call(t,s))}}))})),J.define("virtual_scroll",(function(){const e=this,t=e.canLoad,i=e.clearActiveOption,s=e.loadCallback
|
||||
var n,o={},r=!1
|
||||
if(!e.settings.firstUrl)throw"virtual_scroll plugin requires a firstUrl() method"
|
||||
function l(t){return!("number"==typeof e.settings.maxOptions&&n.children.length>=e.settings.maxOptions)&&!(!(t in o)||!o[t])}e.settings.sortField=[{field:"$order"},{field:"$score"}],e.setNextUrl=function(e,t){o[e]=t},e.getUrl=function(t){if(t in o){const e=o[t]
|
||||
return o[t]=!1,e}return o={},e.settings.firstUrl(t)},e.hook("instead","clearActiveOption",(()=>{if(!r)return i.call(e)})),e.hook("instead","canLoad",(i=>i in o?l(i):t.call(e,i))),e.hook("instead","loadCallback",((t,i)=>{r||e.clearOptions(),s.call(e,t,i),r=!1})),e.hook("after","refreshOptions",(()=>{const t=e.lastValue
|
||||
var i
|
||||
l(t)?(i=e.render("loading_more",{query:t}))&&i.setAttribute("data-selectable",""):t in o&&!n.querySelector(".no-results")&&(i=e.render("no_more_results",{query:t})),i&&(C(i,e.settings.optionClass),n.append(i))})),e.on("initialize",(()=>{n=e.dropdown_content,e.settings.render=Object.assign({},{loading_more:function(){return'<div class="loading-more-results">Loading more results ... </div>'},no_more_results:function(){return'<div class="no-more-results">No more results</div>'}},e.settings.render),n.addEventListener("scroll",(function(){n.clientHeight/(n.scrollHeight-n.scrollTop)<.95||l(e.lastValue)&&(r||(r=!0,e.load.call(e,e.lastValue)))}))}))})),J}))
|
||||
var tomSelect=function(e,t){return new TomSelect(e,t)}
|
||||
//# sourceMappingURL=tom-select.complete.min.js.map
|
||||
@@ -0,0 +1,334 @@
|
||||
/**
|
||||
* tom-select.css (v2.0.0-rc.4)
|
||||
* Copyright (c) contributors
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this
|
||||
* file except in compliance with the License. You may obtain a copy of the License at:
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software distributed under
|
||||
* the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
|
||||
* ANY KIND, either express or implied. See the License for the specific language
|
||||
* governing permissions and limitations under the License.
|
||||
*
|
||||
*/
|
||||
.ts-wrapper.plugin-drag_drop.multi > .ts-control > div.ui-sortable-placeholder {
|
||||
visibility: visible !important;
|
||||
background: #f2f2f2 !important;
|
||||
background: rgba(0, 0, 0, 0.06) !important;
|
||||
border: 0 none !important;
|
||||
box-shadow: inset 0 0 12px 4px #fff; }
|
||||
|
||||
.ts-wrapper.plugin-drag_drop .ui-sortable-placeholder::after {
|
||||
content: '!';
|
||||
visibility: hidden; }
|
||||
|
||||
.ts-wrapper.plugin-drag_drop .ui-sortable-helper {
|
||||
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.plugin-checkbox_options .option input {
|
||||
margin-right: 0.5rem; }
|
||||
|
||||
.plugin-clear_button .ts-control {
|
||||
padding-right: calc( 1em + (3 * 6px)) !important; }
|
||||
|
||||
.plugin-clear_button .clear-button {
|
||||
opacity: 0;
|
||||
position: absolute;
|
||||
top: 8px;
|
||||
right: calc(8px - 6px);
|
||||
margin-right: 0 !important;
|
||||
background: transparent !important;
|
||||
transition: opacity 0.5s;
|
||||
cursor: pointer; }
|
||||
|
||||
.plugin-clear_button.single .clear-button {
|
||||
right: calc(8px - 6px + 2rem); }
|
||||
|
||||
.plugin-clear_button.focus.has-items .clear-button,
|
||||
.plugin-clear_button:hover.has-items .clear-button {
|
||||
opacity: 1; }
|
||||
|
||||
.ts-wrapper .dropdown-header {
|
||||
position: relative;
|
||||
padding: 10px 8px;
|
||||
border-bottom: 1px solid #d0d0d0;
|
||||
background: #f8f8f8;
|
||||
border-radius: 3px 3px 0 0; }
|
||||
|
||||
.ts-wrapper .dropdown-header-close {
|
||||
position: absolute;
|
||||
right: 8px;
|
||||
top: 50%;
|
||||
color: #303030;
|
||||
opacity: 0.4;
|
||||
margin-top: -12px;
|
||||
line-height: 20px;
|
||||
font-size: 20px !important; }
|
||||
|
||||
.ts-wrapper .dropdown-header-close:hover {
|
||||
color: black; }
|
||||
|
||||
.plugin-dropdown_input.focus.dropdown-active .ts-control {
|
||||
box-shadow: none;
|
||||
border: 1px solid #d0d0d0; }
|
||||
|
||||
.plugin-dropdown_input .dropdown-input {
|
||||
border: 1px solid #d0d0d0;
|
||||
border-width: 0 0 1px 0;
|
||||
display: block;
|
||||
padding: 8px 8px;
|
||||
box-shadow: none;
|
||||
width: 100%;
|
||||
background: transparent; }
|
||||
|
||||
.ts-wrapper.plugin-input_autogrow.has-items .ts-control > input {
|
||||
min-width: 0; }
|
||||
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input {
|
||||
flex: none;
|
||||
min-width: 4px; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::-webkit-input-placeholder {
|
||||
color: transparent; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::-ms-input-placeholder {
|
||||
color: transparent; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::placeholder {
|
||||
color: transparent; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .ts-dropdown-content {
|
||||
display: flex; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup {
|
||||
border-right: 1px solid #f2f2f2;
|
||||
border-top: 0 none;
|
||||
flex-grow: 1;
|
||||
flex-basis: 0;
|
||||
min-width: 0; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup:last-child {
|
||||
border-right: 0 none; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup:before {
|
||||
display: none; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup-header {
|
||||
border-top: 0 none; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding-right: 0 !important; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item .remove {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
vertical-align: middle;
|
||||
display: inline-block;
|
||||
padding: 2px 6px;
|
||||
border-left: 1px solid #d0d0d0;
|
||||
border-radius: 0 2px 2px 0;
|
||||
box-sizing: border-box;
|
||||
margin-left: 6px; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item .remove:hover {
|
||||
background: rgba(0, 0, 0, 0.05); }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item.active .remove {
|
||||
border-left-color: #cacaca; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button.disabled .item .remove:hover {
|
||||
background: none; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button.disabled .item .remove {
|
||||
border-left-color: white; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .remove-single {
|
||||
position: absolute;
|
||||
right: 0;
|
||||
top: 0;
|
||||
font-size: 23px; }
|
||||
|
||||
.ts-wrapper {
|
||||
position: relative; }
|
||||
|
||||
.ts-dropdown,
|
||||
.ts-control,
|
||||
.ts-control input {
|
||||
color: #303030;
|
||||
font-family: inherit;
|
||||
font-size: 13px;
|
||||
line-height: 18px;
|
||||
font-smoothing: inherit; }
|
||||
|
||||
.ts-control,
|
||||
.ts-wrapper.single.input-active .ts-control {
|
||||
background: #fff;
|
||||
cursor: text; }
|
||||
|
||||
.ts-control {
|
||||
border: 1px solid #d0d0d0;
|
||||
padding: 8px 8px;
|
||||
width: 100%;
|
||||
overflow: hidden;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
box-sizing: border-box;
|
||||
box-shadow: none;
|
||||
border-radius: 3px;
|
||||
display: flex;
|
||||
flex-wrap: wrap; }
|
||||
.ts-wrapper.multi.has-items .ts-control {
|
||||
padding: calc( 8px - 2px - 0) 8px calc( 8px - 2px - 3px - 0); }
|
||||
.full .ts-control {
|
||||
background-color: #fff; }
|
||||
.disabled .ts-control,
|
||||
.disabled .ts-control * {
|
||||
cursor: default !important; }
|
||||
.focus .ts-control {
|
||||
box-shadow: none; }
|
||||
.ts-control > * {
|
||||
vertical-align: baseline;
|
||||
display: inline-block; }
|
||||
.ts-wrapper.multi .ts-control > div {
|
||||
cursor: pointer;
|
||||
margin: 0 3px 3px 0;
|
||||
padding: 2px 6px;
|
||||
background: #f2f2f2;
|
||||
color: #303030;
|
||||
border: 0 solid #d0d0d0; }
|
||||
.ts-wrapper.multi .ts-control > div.active {
|
||||
background: #e8e8e8;
|
||||
color: #303030;
|
||||
border: 0 solid #cacaca; }
|
||||
.ts-wrapper.multi.disabled .ts-control > div, .ts-wrapper.multi.disabled .ts-control > div.active {
|
||||
color: #7d7c7c;
|
||||
background: white;
|
||||
border: 0 solid white; }
|
||||
.ts-control > input {
|
||||
flex: 1 1 auto;
|
||||
min-width: 7rem;
|
||||
display: inline-block !important;
|
||||
padding: 0 !important;
|
||||
min-height: 0 !important;
|
||||
max-height: none !important;
|
||||
max-width: 100% !important;
|
||||
margin: 0 !important;
|
||||
text-indent: 0 !important;
|
||||
border: 0 none !important;
|
||||
background: none !important;
|
||||
line-height: inherit !important;
|
||||
-webkit-user-select: auto !important;
|
||||
-moz-user-select: auto !important;
|
||||
-ms-user-select: auto !important;
|
||||
user-select: auto !important;
|
||||
box-shadow: none !important; }
|
||||
.ts-control > input::-ms-clear {
|
||||
display: none; }
|
||||
.ts-control > input:focus {
|
||||
outline: none !important; }
|
||||
.has-items .ts-control > input {
|
||||
margin: 0 4px !important; }
|
||||
.ts-control.rtl {
|
||||
text-align: right; }
|
||||
.ts-control.rtl.single .ts-control:after {
|
||||
left: 15px;
|
||||
right: auto; }
|
||||
.ts-control.rtl .ts-control > input {
|
||||
margin: 0 4px 0 -2px !important; }
|
||||
.disabled .ts-control {
|
||||
opacity: 0.5;
|
||||
background-color: #fafafa; }
|
||||
.input-hidden .ts-control > input {
|
||||
opacity: 0;
|
||||
position: absolute;
|
||||
left: -10000px; }
|
||||
|
||||
.ts-dropdown {
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
z-index: 10;
|
||||
border: 1px solid #d0d0d0;
|
||||
background: #fff;
|
||||
margin: 0.25rem 0 0 0;
|
||||
border-top: 0 none;
|
||||
box-sizing: border-box;
|
||||
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
||||
border-radius: 0 0 3px 3px; }
|
||||
.ts-dropdown [data-selectable] {
|
||||
cursor: pointer;
|
||||
overflow: hidden; }
|
||||
.ts-dropdown [data-selectable] .highlight {
|
||||
background: rgba(125, 168, 208, 0.2);
|
||||
border-radius: 1px; }
|
||||
.ts-dropdown .option,
|
||||
.ts-dropdown .optgroup-header,
|
||||
.ts-dropdown .no-results,
|
||||
.ts-dropdown .create {
|
||||
padding: 5px 8px; }
|
||||
.ts-dropdown .option, .ts-dropdown [data-disabled], .ts-dropdown [data-disabled] [data-selectable].option {
|
||||
cursor: inherit;
|
||||
opacity: 0.5; }
|
||||
.ts-dropdown [data-selectable].option {
|
||||
opacity: 1;
|
||||
cursor: pointer; }
|
||||
.ts-dropdown .optgroup:first-child .optgroup-header {
|
||||
border-top: 0 none; }
|
||||
.ts-dropdown .optgroup-header {
|
||||
color: #303030;
|
||||
background: #fff;
|
||||
cursor: default; }
|
||||
.ts-dropdown .create:hover,
|
||||
.ts-dropdown .option:hover,
|
||||
.ts-dropdown .active {
|
||||
background-color: #f5fafd;
|
||||
color: #495c68; }
|
||||
.ts-dropdown .create:hover.create,
|
||||
.ts-dropdown .option:hover.create,
|
||||
.ts-dropdown .active.create {
|
||||
color: #495c68; }
|
||||
.ts-dropdown .create {
|
||||
color: rgba(48, 48, 48, 0.5); }
|
||||
.ts-dropdown .spinner {
|
||||
display: inline-block;
|
||||
width: 30px;
|
||||
height: 30px;
|
||||
margin: 5px 8px; }
|
||||
.ts-dropdown .spinner:after {
|
||||
content: " ";
|
||||
display: block;
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
margin: 3px;
|
||||
border-radius: 50%;
|
||||
border: 5px solid #d0d0d0;
|
||||
border-color: #d0d0d0 transparent #d0d0d0 transparent;
|
||||
animation: lds-dual-ring 1.2s linear infinite; }
|
||||
|
||||
@keyframes lds-dual-ring {
|
||||
0% {
|
||||
transform: rotate(0deg); }
|
||||
100% {
|
||||
transform: rotate(360deg); } }
|
||||
|
||||
.ts-dropdown-content {
|
||||
overflow-y: auto;
|
||||
overflow-x: hidden;
|
||||
max-height: 200px;
|
||||
overflow-scrolling: touch;
|
||||
scroll-behavior: smooth; }
|
||||
|
||||
.ts-hidden-accessible {
|
||||
border: 0 !important;
|
||||
clip: rect(0 0 0 0) !important;
|
||||
-webkit-clip-path: inset(50%) !important;
|
||||
clip-path: inset(50%) !important;
|
||||
height: 1px !important;
|
||||
overflow: hidden !important;
|
||||
padding: 0 !important;
|
||||
position: absolute !important;
|
||||
width: 1px !important;
|
||||
white-space: nowrap !important; }
|
||||
|
||||
/*# sourceMappingURL=tom-select.css.map */
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+18
-19
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
📊 企业风险概览页面
|
||||
企业风险概览页面
|
||||
选择企业 → 六维风险雷达图 + 关键指标卡片 + 详细财务数据
|
||||
"""
|
||||
import sys
|
||||
@@ -16,17 +16,17 @@ from risk_engine.risk_scorer import calculate_six_dimension_scores, get_risk_lev
|
||||
|
||||
from utils.session_helper import render_company_selector, render_sidebar_global_company_selector
|
||||
|
||||
st.set_page_config(page_title="企业风险概览", page_icon="📊", layout="wide")
|
||||
st.set_page_config(page_title="企业风险概览", layout="wide")
|
||||
|
||||
with st.sidebar:
|
||||
render_sidebar_global_company_selector()
|
||||
st.markdown("---")
|
||||
|
||||
st.markdown("# 📊 企业风险概览")
|
||||
st.markdown("# 企业风险概览")
|
||||
st.markdown("选择一家科创企业，查看其六维风险画像和关键指标。")
|
||||
|
||||
# 企业选择（全局同步）
|
||||
company = render_company_selector("🏢 选择目标企业", key_suffix="overview_page")
|
||||
company = render_company_selector("选择目标企业", key_suffix="overview_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
if company:
|
||||
@@ -47,10 +47,10 @@ if company:
|
||||
st.markdown(f"**简介**: {company['description']}")
|
||||
|
||||
# 核心人员
|
||||
st.markdown("#### 👤 核心技术人员")
|
||||
st.markdown("#### 核心技术人员")
|
||||
for p in company.get("core_tech_personnel", []):
|
||||
status_emoji = "✅" if "在职" in p["status"] else "⚠️"
|
||||
st.markdown(f"- {status_emoji} **{p['name']}** ({p['title']}) - 重要性: {p['importance']} - 状态: {p['status']}")
|
||||
status_tag = "[在职]" if "在职" in p["status"] else "[离职预警]"
|
||||
st.markdown(f"- {status_tag} **{p['name']}** ({p['title']}) - 重要性: {p['importance']} - 状态: {p['status']}")
|
||||
|
||||
with col2:
|
||||
# 综合风险仪表盘
|
||||
@@ -83,7 +83,7 @@ if company:
|
||||
)
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
st.markdown(f"<div style='text-align:center; font-size:1.2em;'>"
|
||||
f"{level_info['emoji']} 风险等级: <b>{level_info['level']}</b></div>",
|
||||
f"风险等级: <b>{level_info['level']}</b></div>",
|
||||
unsafe_allow_html=True)
|
||||
|
||||
st.markdown("---")
|
||||
@@ -94,7 +94,7 @@ if company:
|
||||
col_radar, col_detail = st.columns([1, 1])
|
||||
|
||||
with col_radar:
|
||||
st.markdown("#### 🎯 六维风险雷达图")
|
||||
st.markdown("#### 六维风险雷达图")
|
||||
|
||||
dim_names_cn = ["技术路线颠覆", "核心人员流失", "算法/数据合规",
|
||||
"地缘政治/出口管制", "研发资本化操纵", "客户/供应商集中"]
|
||||
@@ -137,18 +137,17 @@ if company:
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
|
||||
with col_detail:
|
||||
st.markdown("#### 📋 各维度风险详情")
|
||||
st.markdown("#### 各维度风险详情")
|
||||
for k in dim_keys:
|
||||
detail = risk_result["dimension_details"][k]
|
||||
score = detail["score"]
|
||||
level = detail["level"]
|
||||
emoji = level["emoji"]
|
||||
color = level["color"]
|
||||
|
||||
st.markdown(
|
||||
f"<div style='background:{color}22; padding:10px; border-radius:8px; "
|
||||
f"margin:5px 0; border-left:4px solid {color};'>"
|
||||
f"<b>{emoji} {detail['name']}</b>: {score}分 ({level['level']})</div>",
|
||||
f"<b>{detail['name']}</b>: {score}分 ({level['level']})</div>",
|
||||
unsafe_allow_html=True,
|
||||
)
|
||||
|
||||
@@ -157,7 +156,7 @@ if company:
|
||||
# ============================================================
|
||||
# 关键财务指标
|
||||
# ============================================================
|
||||
st.markdown("#### 💰 关键财务指标")
|
||||
st.markdown("#### 关键财务指标")
|
||||
fin = company.get("financials", {})
|
||||
|
||||
col_f1, col_f2, col_f3, col_f4 = st.columns(4)
|
||||
@@ -175,7 +174,7 @@ if company:
|
||||
with col_f4:
|
||||
cap_rate = fin.get("rd_capitalization_rate", 0)
|
||||
st.metric("研发资本化率", f"{cap_rate:.0%}",
|
||||
delta="⚠️ 偏高" if cap_rate > 0.3 else "正常",
|
||||
delta="偏高" if cap_rate > 0.3 else "正常",
|
||||
delta_color="inverse" if cap_rate > 0.3 else "normal")
|
||||
|
||||
col_f5, col_f6, col_f7, col_f8 = st.columns(4)
|
||||
@@ -195,25 +194,25 @@ if company:
|
||||
col_tech, col_comp = st.columns(2)
|
||||
|
||||
with col_tech:
|
||||
st.markdown("#### 🔬 技术路线")
|
||||
st.markdown("#### 技术路线")
|
||||
tech = company.get("tech_route", {})
|
||||
st.markdown(f"**当前技术**: {tech.get('current_tech', '未知')}")
|
||||
st.markdown(f"**技术壁垒**: {tech.get('tech_moat', '未知')}")
|
||||
st.markdown(f"**专利数量**: {tech.get('patent_count', 0)} 件")
|
||||
st.markdown("**竞争技术路线**:")
|
||||
for ct in tech.get("competing_techs", []):
|
||||
st.markdown(f" - ⚔️ {ct}")
|
||||
st.markdown(f" - • {ct}")
|
||||
|
||||
with col_comp:
|
||||
st.markdown("#### 📋 合规状态")
|
||||
st.markdown("#### 合规状态")
|
||||
comp_info = company.get("compliance", {})
|
||||
st.markdown(f"**算法备案**: {comp_info.get('algo_filing_status', '未知')}")
|
||||
st.markdown(f"**数据出境风险**: {comp_info.get('data_export_risk', '未知')}")
|
||||
|
||||
entity_status = comp_info.get("entity_list_status", "未知")
|
||||
if "被列入" in entity_status:
|
||||
st.error(f"⛔ 实体清单: {entity_status}")
|
||||
st.error(f"[实体清单受限] {entity_status}")
|
||||
if comp_info.get("sanctions_detail"):
|
||||
st.warning(f"制裁详情: {comp_info['sanctions_detail']}")
|
||||
else:
|
||||
st.success(f"✅ 实体清单: {entity_status}")
|
||||
st.success(f"[合规] {entity_status}")
|
||||
+34
-34
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🕸️ 供应链知识图谱页面
|
||||
供应链知识图谱页面
|
||||
交互式图谱展示 + 供应链风险传染路径 + 实体清单命中标记
|
||||
"""
|
||||
import sys
|
||||
@@ -18,9 +18,9 @@ from knowledge_graph.graph_visualizer import (
|
||||
get_subgraph_for_company,
|
||||
)
|
||||
|
||||
st.set_page_config(page_title="供应链知识图谱", page_icon="🕸️", layout="wide")
|
||||
st.set_page_config(page_title="供应链知识图谱", layout="wide")
|
||||
|
||||
st.markdown("# 🕸️ 供应链风险传染知识图谱")
|
||||
st.markdown("# 供应链风险传染知识图谱")
|
||||
st.markdown("可视化科创企业供应链网络，识别风险传染路径和关键断裂节点。")
|
||||
|
||||
# 构建图谱
|
||||
@@ -36,16 +36,16 @@ stats = get_graph_stats(G)
|
||||
# ============================================================
|
||||
col1, col2, col3, col4 = st.columns(4)
|
||||
with col1:
|
||||
st.metric("📌 总节点数", stats["total_nodes"])
|
||||
st.metric("总节点数", stats["total_nodes"])
|
||||
with col2:
|
||||
st.metric("🔗 总边数", stats["total_edges"])
|
||||
st.metric("总边数", stats["total_edges"])
|
||||
with col3:
|
||||
st.metric("⛔ 受制裁节点", stats["sanctioned_nodes"])
|
||||
st.metric("受制裁节点", stats["sanctioned_nodes"])
|
||||
with col4:
|
||||
st.metric("🔀 图密度", f"{stats['density']:.4f}")
|
||||
st.metric("图密度", f"{stats['density']:.4f}")
|
||||
|
||||
# 节点类型分布
|
||||
with st.expander("📊 节点类型分布"):
|
||||
with st.expander("节点类型分布"):
|
||||
for ntype, count in stats["node_types"].items():
|
||||
st.markdown(f"- **{ntype}**: {count} 个")
|
||||
|
||||
@@ -55,7 +55,7 @@ st.markdown("---")
|
||||
# 图谱视图选择
|
||||
# ============================================================
|
||||
view_mode = st.radio(
|
||||
"🔍 视图模式",
|
||||
"视图模式",
|
||||
["全局图谱", "企业中心视图（推荐）"],
|
||||
horizontal=True,
|
||||
)
|
||||
@@ -67,7 +67,7 @@ with st.sidebar:
|
||||
st.markdown("---")
|
||||
|
||||
if view_mode == "企业中心视图（推荐）":
|
||||
target_company = render_company_selector("🏢 选择中心企业", key_suffix="graph_page")
|
||||
target_company = render_company_selector("选择中心企业", key_suffix="graph_page")
|
||||
selected_company = target_company["short_name"] if target_company else "寒武纪"
|
||||
|
||||
depth = st.slider("穿透深度", 1, 3, 2)
|
||||
@@ -87,50 +87,50 @@ if view_mode == "企业中心视图（推荐）":
|
||||
# 供应链风险传染分析
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown(f"### ⚠️ {selected_company} 供应链风险传染分析")
|
||||
st.markdown(f"### {selected_company} 供应链风险传染分析")
|
||||
|
||||
contagion = analyze_contagion(G, selected_company)
|
||||
|
||||
# 风险评分
|
||||
supply_risk_score = contagion.get("risk_score", 0)
|
||||
if supply_risk_score >= 60:
|
||||
st.error(f"🔴 供应链风险评分: **{supply_risk_score}/100** — 供应链断裂风险极高")
|
||||
st.error(f"供应链风险评分: **{supply_risk_score}/100** — 供应链断裂风险极高")
|
||||
elif supply_risk_score >= 30:
|
||||
st.warning(f"🟡 供应链风险评分: **{supply_risk_score}/100** — 存在一定供应链风险")
|
||||
st.warning(f"供应链风险评分: **{supply_risk_score}/100** — 存在一定供应链风险")
|
||||
else:
|
||||
st.success(f"🟢 供应链风险评分: **{supply_risk_score}/100** — 供应链风险可控")
|
||||
st.success(f"供应链风险评分: **{supply_risk_score}/100** — 供应链风险可控")
|
||||
|
||||
# 直接风险
|
||||
if contagion.get("direct_risks"):
|
||||
st.markdown("#### 🔴 直接风险（一度关联）")
|
||||
st.markdown("#### 直接风险（一度关联）")
|
||||
for risk in contagion["direct_risks"]:
|
||||
icon = "⛔" if risk.get("status") == "受限" else "⚠️"
|
||||
status_tag = "[受限]" if risk.get("status") == "受限" else "[关注]"
|
||||
critical_tag = " [关键供应]" if risk.get("is_critical") else ""
|
||||
st.markdown(
|
||||
f"- {icon} **{risk['entity']}** ({risk['node_type']}) — "
|
||||
f"{risk['relation']} — 状态: {risk.get('status', '未知')} "
|
||||
f"{'🔑 关键供应' if risk.get('is_critical') else ''}"
|
||||
f"- {status_tag} **{risk['entity']}** ({risk['node_type']}) — "
|
||||
f"{risk['relation']} — 状态: {risk.get('status', '未知')}{critical_tag}"
|
||||
)
|
||||
|
||||
# 间接风险
|
||||
if contagion.get("indirect_risks"):
|
||||
st.markdown("#### 🟡 间接风险（二度及以上关联）")
|
||||
st.markdown("#### 间接风险（二度及以上关联）")
|
||||
for risk in contagion["indirect_risks"]:
|
||||
st.markdown(
|
||||
f"- ⚠️ **{risk['entity']}** (距离: {risk['distance']}层) — {risk['relation']}"
|
||||
f"- [间接传导] **{risk['entity']}** (距离: {risk['distance']}层) — {risk['relation']}"
|
||||
)
|
||||
|
||||
# 传染路径
|
||||
if contagion.get("contagion_paths"):
|
||||
st.markdown("#### 🔗 风险传染路径")
|
||||
st.markdown("#### 风险传染路径")
|
||||
for path in contagion["contagion_paths"]:
|
||||
severity_icon = "🔴" if path["severity"] == "高" else "🟡"
|
||||
st.markdown(f"- {severity_icon} `{path['path_str']}` (长度: {path['length']})")
|
||||
severity_tag = "[高风险]" if path["severity"] == "高" else "[中风险]"
|
||||
st.markdown(f"- {severity_tag} `{path['path_str']}` (长度: {path['length']})")
|
||||
|
||||
# 关键断裂节点
|
||||
if contagion.get("critical_nodes"):
|
||||
st.markdown("#### 🔑 关键断裂节点")
|
||||
st.markdown("#### 关键断裂节点")
|
||||
for node in contagion["critical_nodes"]:
|
||||
alt_info = f"✅ 有{node['alternative_count']}个替代" if node["has_alternative"] else "❌ 无替代方案"
|
||||
alt_info = f"有 {node['alternative_count']} 个替代方案" if node["has_alternative"] else "无替代方案"
|
||||
st.markdown(
|
||||
f"- **{node['node']}** — {node['relation']} — "
|
||||
f"状态: {node['status']} — {alt_info}"
|
||||
@@ -140,7 +140,7 @@ if view_mode == "企业中心视图（推荐）":
|
||||
|
||||
else:
|
||||
# 全局视图
|
||||
st.info("💡 全局图谱节点较多，加载可能需要几秒钟。推荐使用“企业中心视图”获得更好的体验。")
|
||||
st.info("全局图谱节点较多，加载可能需要几秒钟。推荐使用“企业中心视图”获得更好的体验。")
|
||||
html_content = generate_interactive_graph(G, height="650px")
|
||||
components.html(html_content, height=700, scrolling=True)
|
||||
|
||||
@@ -148,17 +148,17 @@ else:
|
||||
# 图例
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("#### 🎨 图例说明")
|
||||
st.markdown("#### 图例说明")
|
||||
col_l1, col_l2, col_l3 = st.columns(3)
|
||||
with col_l1:
|
||||
st.markdown("""
|
||||
**节点颜色**
|
||||
- 🟢 绿色: 科创企业 (正常)
|
||||
- 🟡 金色: 选中的中心企业
|
||||
- 🟠 橙色: 供应商
|
||||
- 🟣 紫色: 客户
|
||||
- 🔵 蓝色: 核心人员
|
||||
- 🔴 红色: 受制裁实体
|
||||
- 绿色: 科创企业 (正常)
|
||||
- 金色: 选中的中心企业
|
||||
- 橙色: 供应商
|
||||
- 紫色: 客户
|
||||
- 蓝色: 核心人员
|
||||
- 红色: 受制裁实体
|
||||
""")
|
||||
with col_l2:
|
||||
st.markdown("""
|
||||
+40
-41
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
⚖️ 多智能体辩论诊断页面 (Premium Financial-Grade Design)
|
||||
多智能体辩论诊断页面 (Premium Financial-Grade Design)
|
||||
选择企业 → 真实 Token 级打字机流式推演 → 三方交叉质证 → 综合裁决与核保看板
|
||||
使用 Glassmorphism 玻璃拟态 + 暗黑金融科技 CSS 调色盘
|
||||
"""
|
||||
@@ -15,7 +15,7 @@ import time
|
||||
from collectors.financial_collector import get_all_companies, get_company_by_code
|
||||
from agents.debate_engine import DebateEngine
|
||||
|
||||
st.set_page_config(page_title="多智能体辩论诊断", page_icon="⚖️", layout="wide")
|
||||
st.set_page_config(page_title="多智能体辩论诊断", layout="wide")
|
||||
|
||||
# ============================================================
|
||||
# 自定义 UI 视觉增强样式 (CSS 注入)
|
||||
@@ -111,7 +111,7 @@ st.markdown("""
|
||||
.pill-med { background: rgba(255, 152, 0, 0.2); color: #ffb74d; border: 1px solid rgba(255, 152, 0, 0.4); }
|
||||
.pill-low { background: rgba(76, 175, 80, 0.2); color: #81c784; border: 1px solid rgba(76, 175, 80, 0.4); }
|
||||
|
||||
/* 模拟黑客流式终端 (Terminal Box) */
|
||||
/* 终端样式 */
|
||||
.terminal-box {
|
||||
background: #0B0E14;
|
||||
border: 1px solid #1E293B;
|
||||
@@ -160,17 +160,16 @@ st.markdown("""
|
||||
st.markdown("""
|
||||
<div class="hero-banner">
|
||||
<div class="hero-title">
|
||||
<span>⚖️</span>
|
||||
<span>多智能体交叉验证辩论诊断</span>
|
||||
</div>
|
||||
<div class="hero-subtitle">
|
||||
基于 Multi-Agent 辩论图谱 · 法务 / 技术 / 财务专家分布式研判 · 全过程打字机流式追溯
|
||||
基于 Multi-Agent 辩论图谱 · 法务 / 技术 / 财务专家分布式研判 · 全过程流式追溯
|
||||
</div>
|
||||
<div class="step-badge-container">
|
||||
<span class="step-badge step-badge-active">Phase 1: 独立穿透研判</span>
|
||||
<span class="step-badge">Phase 2: 三方交叉质证</span>
|
||||
<span class="step-badge">Phase 3: 委员会综合裁决</span>
|
||||
<span class="step-badge">🛡️ 保险精算核保建议</span>
|
||||
<span class="step-badge">保险精算核保建议</span>
|
||||
</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
@@ -183,7 +182,7 @@ with st.sidebar:
|
||||
|
||||
col_ctrl1, col_ctrl2 = st.columns([3, 1])
|
||||
with col_ctrl1:
|
||||
company = render_company_selector("🏢 选择待诊断科创企业", key_suffix="debate_page")
|
||||
company = render_company_selector("选择待诊断科创企业", key_suffix="debate_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
# 初始化 session_state
|
||||
@@ -192,7 +191,7 @@ if "debate_results" not in st.session_state:
|
||||
|
||||
with col_ctrl2:
|
||||
st.markdown("<div style='height: 28px;'></div>", unsafe_allow_html=True)
|
||||
start_btn = st.button("🚀 启动多智能体辩论", type="primary", use_container_width=True)
|
||||
start_btn = st.button("启动多智能体辩论", type="primary", use_container_width=True)
|
||||
|
||||
# ============================================================
|
||||
# 辩论触发与打字机流式渲染
|
||||
@@ -207,16 +206,16 @@ if start_btn:
|
||||
company_name = company.get("short_name", "未知")
|
||||
|
||||
st.markdown("---")
|
||||
st.markdown("### 📡 智能体实时思考与流式推演控制台 (Live Streaming Terminal)")
|
||||
progress_bar = st.progress(0, text="▶️ 正在初始化分布式智能体网络...")
|
||||
st.markdown("### 智能体实时思考与流式推演控制台 (Live Streaming Terminal)")
|
||||
progress_bar = st.progress(0, text="正在初始化分布式智能体网络...")
|
||||
|
||||
# 动态渲染控制台
|
||||
live_box = st.container(border=True)
|
||||
|
||||
def run_agent_with_typewriter(agent, agent_title, start_progress, end_progress):
|
||||
progress_bar.progress(start_progress, text=f"{agent.role_icon} {agent_title} 正在穿透企业数据并与大模型通信...")
|
||||
progress_bar.progress(start_progress, text=f"{agent_title} 正在穿透企业数据并与大模型通信...")
|
||||
with live_box:
|
||||
st.markdown(f"##### {agent.role_icon} {agent_title}")
|
||||
st.markdown(f"##### {agent_title}")
|
||||
status_placeholder = st.empty()
|
||||
thinking_placeholder = st.empty()
|
||||
content_placeholder = st.empty()
|
||||
@@ -224,13 +223,13 @@ if start_btn:
|
||||
thinking_buf = []
|
||||
content_buf = []
|
||||
|
||||
status_placeholder.info("🔗 建立 SSE 流式通信中...")
|
||||
status_placeholder.info("建立 SSE 流式通信中...")
|
||||
|
||||
def on_token(token_type: str, token_text: str):
|
||||
if token_type == "reasoning":
|
||||
thinking_buf.append(token_text)
|
||||
t_str = "".join(thinking_buf)
|
||||
status_placeholder.markdown("🧠 **[大模型深度思考中...]**")
|
||||
status_placeholder.markdown("**[大模型深度思考中...]**")
|
||||
display_text = t_str[-350:] if len(t_str) > 350 else t_str
|
||||
thinking_placeholder.markdown(
|
||||
f"""<div class="terminal-box terminal-thinking">
|
||||
@@ -241,7 +240,7 @@ if start_btn:
|
||||
elif token_type == "content":
|
||||
content_buf.append(token_text)
|
||||
c_str = "".join(content_buf)
|
||||
status_placeholder.markdown("📝 **[正在实时生成审查报告...]**")
|
||||
status_placeholder.markdown("**[正在实时生成审查报告...]**")
|
||||
display_c = c_str[-280:] if len(c_str) > 280 else c_str
|
||||
content_placeholder.markdown(
|
||||
f"""<div class="terminal-box terminal-output">
|
||||
@@ -252,8 +251,8 @@ if start_btn:
|
||||
|
||||
agent.on_token_callback = on_token
|
||||
result = agent.evaluate(company if agent != engine.judge_agent else None)
|
||||
progress_bar.progress(end_progress, text=f"✅ {agent_title} 研判完毕")
|
||||
status_placeholder.success(f"✅ {agent_title} 完成风险评级")
|
||||
progress_bar.progress(end_progress, text=f"{agent_title} 研判完毕")
|
||||
status_placeholder.success(f"{agent_title} 完成风险评级")
|
||||
return result, list(agent.reasoning_trace)
|
||||
|
||||
# 1. 法务 Agent
|
||||
@@ -266,13 +265,13 @@ if start_btn:
|
||||
finance_result, finance_trace = run_agent_with_typewriter(engine.finance_agent, "财务风控节点", 60, 85)
|
||||
|
||||
# 4. 交叉质证
|
||||
progress_bar.progress(88, text="🔄 正在比对三方判定结论，进行交叉质证分析...")
|
||||
progress_bar.progress(88, text="正在比对三方判定结论，进行交叉质证分析...")
|
||||
conflicts = engine._identify_conflicts(law_result, tech_result, finance_result)
|
||||
|
||||
# 5. 综合裁决 Agent
|
||||
progress_bar.progress(92, text="⚖️ 综合裁决委员会进行权重复核...")
|
||||
progress_bar.progress(92, text="综合裁决委员会进行权重复核...")
|
||||
with live_box:
|
||||
st.markdown("##### ⚖️ 综合裁决节点")
|
||||
st.markdown("##### 综合裁决节点")
|
||||
j_status = st.empty()
|
||||
j_thinking = st.empty()
|
||||
j_content = st.empty()
|
||||
@@ -280,13 +279,13 @@ if start_btn:
|
||||
j_think_buf = []
|
||||
j_cont_buf = []
|
||||
|
||||
j_status.info("🚀 综合裁决委员会正在消解分歧...")
|
||||
j_status.info("综合裁决委员会正在消解分歧...")
|
||||
|
||||
def judge_on_token(token_type: str, token_text: str):
|
||||
if token_type == "reasoning":
|
||||
j_think_buf.append(token_text)
|
||||
t_str = "".join(j_think_buf)
|
||||
j_status.markdown("🧠 **[裁决委员会讨论中...]**")
|
||||
j_status.markdown("**[裁决委员会讨论中...]**")
|
||||
display_t = t_str[-350:] if len(t_str) > 350 else t_str
|
||||
j_thinking.markdown(
|
||||
f"""<div class="terminal-box terminal-thinking">
|
||||
@@ -297,7 +296,7 @@ if start_btn:
|
||||
elif token_type == "content":
|
||||
j_cont_buf.append(token_text)
|
||||
c_str = "".join(j_cont_buf)
|
||||
j_status.markdown("📝 **[生成核保决议中...]**")
|
||||
j_status.markdown("**[生成核保决议中...]**")
|
||||
display_c = c_str[-280:] if len(c_str) > 280 else c_str
|
||||
j_content.markdown(
|
||||
f"""<div class="terminal-box terminal-output">
|
||||
@@ -309,9 +308,9 @@ if start_btn:
|
||||
engine.judge_agent.on_token_callback = judge_on_token
|
||||
judge_result = engine.judge_agent.evaluate(company, law_result, tech_result, finance_result)
|
||||
judge_trace = list(engine.judge_agent.reasoning_trace)
|
||||
j_status.success("✅ 综合裁决完成")
|
||||
j_status.success("综合裁决完成")
|
||||
|
||||
progress_bar.progress(100, text="✅ 辩论诊断流程全量完成！")
|
||||
progress_bar.progress(100, text="辩论诊断流程全量完成")
|
||||
|
||||
# 持久化结果
|
||||
st.session_state["debate_results"] = {
|
||||
@@ -334,7 +333,7 @@ if start_btn:
|
||||
# ============================================================
|
||||
def render_trace_expander(trace: list, title: str):
|
||||
"""渲染研判结果对应的详细辩论链"""
|
||||
with st.expander(f"🔗 查看 【{title}】 详细辩论链与凭据 (共 {len(trace)} 步)", expanded=False):
|
||||
with st.expander(f"查看 【{title}】 详细辩论链与凭据 (共 {len(trace)} 步)", expanded=False):
|
||||
for step in trace:
|
||||
ts = step.get("timestamp", "")
|
||||
step_name = step.get("step", "")
|
||||
@@ -378,14 +377,14 @@ def render_risk_card(result: dict, keys: list, trace: list, agent_title: str, ov
|
||||
# 关键发现
|
||||
findings = result.get("key_findings", [])
|
||||
if findings:
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:12px; margin-bottom:4px;'>📌 关键风险发现:</p>", unsafe_allow_html=True)
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:12px; margin-bottom:4px;'>关键风险发现:</p>", unsafe_allow_html=True)
|
||||
for f in findings:
|
||||
st.markdown(f"<span style='font-size:0.83rem; color:#E2E8F0;'>• {f}</span>", unsafe_allow_html=True)
|
||||
|
||||
# 建议
|
||||
recs = result.get("recommendations", [])
|
||||
if recs:
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:10px; margin-bottom:4px;'>💡 专家处置建议:</p>", unsafe_allow_html=True)
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:10px; margin-bottom:4px;'>专家处置建议:</p>", unsafe_allow_html=True)
|
||||
for r in recs:
|
||||
st.markdown(f"<span style='font-size:0.83rem; color:#CBD5E1;'>• {r}</span>", unsafe_allow_html=True)
|
||||
|
||||
@@ -405,10 +404,10 @@ if res is not None:
|
||||
judge_result = res["judge_result"]
|
||||
|
||||
st.markdown("---")
|
||||
st.markdown(f"### 📊 多智能体交叉辩论诊断报告 — {company['short_name']} ({company['stock_code']})")
|
||||
st.markdown(f"### 多智能体交叉辩论诊断报告 — {company['short_name']} ({company['stock_code']})")
|
||||
|
||||
# ---- Phase 1: 三方独立研判 ----
|
||||
st.markdown("#### 📋 Phase 1: 三方专家节点穿透研判全景")
|
||||
st.markdown("#### Phase 1: 三方专家节点穿透研判全景")
|
||||
col_law, col_tech, col_fin = st.columns(3)
|
||||
|
||||
with col_law:
|
||||
@@ -416,7 +415,7 @@ if res is not None:
|
||||
law_result,
|
||||
["algo_compliance_risk", "geopolitical_risk", "data_compliance_risk", "ip_litigation_risk"],
|
||||
res.get("law_trace", []),
|
||||
"👩⚖️ 法务风控节点",
|
||||
"法务风控节点",
|
||||
"overall_law_risk",
|
||||
)
|
||||
|
||||
@@ -425,7 +424,7 @@ if res is not None:
|
||||
tech_result,
|
||||
["tech_disruption_risk", "talent_loss_risk", "patent_moat", "tech_iteration_pressure"],
|
||||
res.get("tech_trace", []),
|
||||
"👨🔬 技术风控节点",
|
||||
"技术风控节点",
|
||||
"overall_tech_risk",
|
||||
)
|
||||
|
||||
@@ -434,30 +433,30 @@ if res is not None:
|
||||
finance_result,
|
||||
["rd_capitalization_risk", "concentration_risk", "receivable_risk", "cashflow_risk"],
|
||||
res.get("finance_trace", []),
|
||||
"👔 财务风控节点",
|
||||
"财务风控节点",
|
||||
"overall_fin_risk",
|
||||
)
|
||||
|
||||
# ---- Phase 2: 交叉质证分析 ----
|
||||
st.markdown("---")
|
||||
st.markdown("#### 🔄 Phase 2: 三方交叉质证与冲突判定")
|
||||
st.markdown("#### Phase 2: 三方交叉质证与冲突判定")
|
||||
if conflicts:
|
||||
for conflict in conflicts:
|
||||
st.markdown(f"""
|
||||
<div style='background:rgba(239, 68, 68, 0.1); border:1px solid rgba(239, 68, 68, 0.3); border-radius:8px; padding:12px 16px; margin:6px 0; color:#FCA5A5;'>
|
||||
⚠️ <b>判定冲突警示</b>：{conflict}
|
||||
<b>判定冲突警示</b>：{conflict}
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
else:
|
||||
st.markdown("""
|
||||
<div style='background:rgba(16, 185, 129, 0.1); border:1px solid rgba(16, 185, 129, 0.3); border-radius:8px; padding:12px 16px; color:#6EE7B7;'>
|
||||
✅ <b>一致性确认</b>：法务、技术、财务三方判定逻辑高度契合，无重大矛盾分歧。
|
||||
<b>一致性确认</b>：法务、技术、财务三方判定逻辑高度契合，无重大矛盾分歧。
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
# ---- Phase 3: 综合裁决与保险核保 ----
|
||||
st.markdown("---")
|
||||
st.markdown("#### ⚖️ Phase 3: 风险委员会综合裁决与核保决策")
|
||||
st.markdown("#### Phase 3: 风险委员会综合裁决与核保决策")
|
||||
|
||||
comp_score = judge_result.get("comprehensive_score", 50)
|
||||
decision = judge_result.get("underwriting_decision", "标准承保")
|
||||
@@ -514,23 +513,23 @@ if res is not None:
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
st.markdown(f"**📝 裁决终审意见**: {judge_result.get('summary', '')}")
|
||||
st.markdown(f"**裁决终审意见**: {judge_result.get('summary', '')}")
|
||||
|
||||
conditions = judge_result.get("underwriting_conditions", [])
|
||||
if conditions:
|
||||
st.markdown("**📌 保险核保附加条件**:")
|
||||
st.markdown("**保险核保附加条件**:")
|
||||
for c in conditions:
|
||||
st.markdown(f"- <span style='color:#F59E0B;'>{c}</span>", unsafe_allow_html=True)
|
||||
|
||||
# 挂载裁决节点的辩论链
|
||||
st.markdown("<br>", unsafe_allow_html=True)
|
||||
render_trace_expander(res.get("judge_trace", []), "⚖️ 综合裁决委员会")
|
||||
render_trace_expander(res.get("judge_trace", []), "综合裁决委员会")
|
||||
|
||||
else:
|
||||
# 默认引导说明
|
||||
st.markdown("""
|
||||
<div style='background:rgba(255,255,255,0.02); border:1px solid rgba(255,255,255,0.08); border-radius:12px; padding:24px; margin-top:20px;'>
|
||||
<h4 style='color:#F8FAFC; margin-top:0;'>💡 多智能体辩论与风险识别流程说明</h4>
|
||||
<h4 style='color:#F8FAFC; margin-top:0;'>多智能体辩论与风险识别流程说明</h4>
|
||||
<ol style='color:#94A3B8; line-height:1.8;'>
|
||||
<li><b>Phase 1 - 三方穿透研判</b>: 法务风控节点审查算法与出口管制、技术风控节点审查路线与人员、财务风控节点穿透资本化与集中度。</li>
|
||||
<li><b>Phase 2 - 交叉质证分析</b>: 识别法务、技术、财务意见间的潜在分歧（如：研发投入大 vs 资本化美化利润）。</li>
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
💰 动态定价与核保页面
|
||||
动态定价与核保页面
|
||||
保险产品选择 → 费率计算器 → 核保报告生成
|
||||
"""
|
||||
import sys
|
||||
@@ -19,9 +19,9 @@ from risk_engine.dynamic_pricing import (
|
||||
from risk_engine.report_generator import generate_report, format_report_markdown
|
||||
from config import INSURANCE_PRODUCTS
|
||||
|
||||
st.set_page_config(page_title="动态定价与核保", page_icon="💰", layout="wide")
|
||||
st.set_page_config(page_title="动态定价与核保", layout="wide")
|
||||
|
||||
st.markdown("# 💰 科创特有风险综合险 · 动态定价引擎")
|
||||
st.markdown("# 科创特有风险综合险 · 动态定价引擎")
|
||||
st.markdown("基于六维风险评分的“千企千面”精准核保与定价。")
|
||||
|
||||
from utils.session_helper import render_company_selector, render_sidebar_global_company_selector
|
||||
@@ -31,7 +31,7 @@ with st.sidebar:
|
||||
st.markdown("---")
|
||||
|
||||
# 企业选择（全局同步）
|
||||
company = render_company_selector("🏢 选择目标企业", key_suffix="pricing_page")
|
||||
company = render_company_selector("选择目标企业", key_suffix="pricing_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
if company:
|
||||
@@ -63,7 +63,7 @@ if company:
|
||||
f"<div style='background:{color}22; padding:20px; border-radius:12px; text-align:center; "
|
||||
f"border:2px solid {color};'>"
|
||||
f"<div style='font-size:2.5em; font-weight:bold; color:{color};'>{comprehensive}</div>"
|
||||
f"<div style='color:{color};'>综合风险评分 {level_info['emoji']} {level_info['level']}</div>"
|
||||
f"<div style='color:{color};'>综合风险评分: {level_info['level']}</div>"
|
||||
f"</div>",
|
||||
unsafe_allow_html=True,
|
||||
)
|
||||
@@ -73,7 +73,7 @@ if company:
|
||||
# ============================================================
|
||||
# 保险产品费率计算
|
||||
# ============================================================
|
||||
st.markdown("### 📊 保险产品费率方案")
|
||||
st.markdown("### 保险产品费率方案")
|
||||
|
||||
pricing_results = calculate_all_products(
|
||||
comprehensive, scores, sector, revenue
|
||||
@@ -108,20 +108,20 @@ if company:
|
||||
st.metric("保额", f"¥{pricing['adjusted_coverage']:,.0f}")
|
||||
st.metric("免赔率", f"{pricing['deductible_rate']:.0%}")
|
||||
|
||||
with st.expander("📐 定价明细"):
|
||||
with st.expander("定价明细"):
|
||||
st.markdown(f"- 风险系数: {pricing['risk_multiplier']:.3f}")
|
||||
st.markdown(f"- 行业调整: {pricing['industry_factor']:.3f}")
|
||||
st.markdown(f"- 规模折扣: {pricing['scale_factor']:.3f}")
|
||||
st.markdown(f"- 维度调整: {pricing['dimension_adjustment']:.3f}")
|
||||
st.markdown(f"- **计算公式**: {pricing['pricing_breakdown']}")
|
||||
else:
|
||||
st.error("⛔ 风险过高，建议拒保")
|
||||
st.error("风险过高，建议拒保")
|
||||
|
||||
# ============================================================
|
||||
# 费率对比图
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("### 📈 费率构成分析")
|
||||
st.markdown("### 费率构成分析")
|
||||
|
||||
col_chart1, col_chart2 = st.columns(2)
|
||||
|
||||
@@ -155,7 +155,7 @@ if company:
|
||||
])
|
||||
fig.update_layout(
|
||||
title=dict(
|
||||
text="<b>📊 基础保费 vs 调整后保费对比</b>",
|
||||
text="<b>基础保费 vs 调整后保费对比</b>",
|
||||
font=dict(size=15, color="#F8FAFC"),
|
||||
x=0.02,
|
||||
y=0.96
|
||||
@@ -212,7 +212,7 @@ if company:
|
||||
))
|
||||
fig2.update_layout(
|
||||
title=dict(
|
||||
text=f"<b>📉 {p['product_name']} — 定价因子分解</b>",
|
||||
text=f"<b>{p['product_name']} — 定价因子分解</b>",
|
||||
font=dict(size=15, color="#F8FAFC"),
|
||||
x=0.02,
|
||||
y=0.96
|
||||
@@ -231,7 +231,7 @@ if company:
|
||||
# 核保报告生成
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("### 📋 核保决策报告")
|
||||
st.markdown("### 核保决策报告")
|
||||
|
||||
# 检查 session_state 中是否有该企业的真实大模型辩论结果
|
||||
has_real_debate = False
|
||||
@@ -239,11 +239,11 @@ if company:
|
||||
|
||||
if debate_res_in_session and debate_res_in_session.get("company", {}).get("stock_code") == stock_code:
|
||||
has_real_debate = True
|
||||
st.success("🤖 **已成功链接页面 3 的【大模型多智能体辩论】真实研判与穿透凭据！**")
|
||||
st.success("**已成功链接多智能体辩论真实研判与穿透凭据**")
|
||||
else:
|
||||
st.info("💡 **提示**：建议先至 **【⚖️ 多智能体辩论诊断】** 页面为该企业发起大模型辩论，本报告将自动整合最深度的 AI 审查凭据。")
|
||||
st.info("**提示**：建议先至【多智能体辩论诊断】页面为该企业发起辩论评估，本报告将自动整合深度审查凭据。")
|
||||
|
||||
if st.button("📄 生成完整核保报告", type="primary", use_container_width=True):
|
||||
if st.button("生成完整核保报告", type="primary", use_container_width=True):
|
||||
if has_real_debate:
|
||||
debate_result = debate_res_in_session
|
||||
else:
|
||||
@@ -275,7 +275,7 @@ if company:
|
||||
|
||||
# 下载按钮
|
||||
st.download_button(
|
||||
label="📥 下载核保报告 (Markdown 格式)",
|
||||
label="下载核保报告 (Markdown 格式)",
|
||||
data=markdown_report,
|
||||
file_name=f"核保报告_{company['short_name']}_{report['report_id']}.md",
|
||||
mime="text/markdown",
|
||||
@@ -100,20 +100,20 @@ def format_report_markdown(report: dict) -> str:
|
||||
debate = report["debate_summary"]
|
||||
lines.append("\n## 三、多智能体交叉验证摘要")
|
||||
|
||||
lines.append("\n### 👩⚖️ 法务风控节点")
|
||||
lines.append("\n### 法务风控节点")
|
||||
for f in debate.get("law_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
lines.append("\n### 👨🔬 技术风控节点")
|
||||
lines.append("\n### 技术风控节点")
|
||||
for f in debate.get("tech_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
lines.append("\n### 👔 财务风控节点")
|
||||
lines.append("\n### 财务风控节点")
|
||||
for f in debate.get("fin_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
if debate.get("conflicts"):
|
||||
lines.append("\n### ⚠️ 冲突点")
|
||||
lines.append("\n### 冲突点分析")
|
||||
for c in debate["conflicts"]:
|
||||
lines.append(f"- {c}")
|
||||
|
||||
|
||||
@@ -11,11 +11,11 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
# 风险等级映射
|
||||
RISK_LEVELS = {
|
||||
(0, 30): {"level": "低", "color": "#4CAF50", "emoji": "🟢"},
|
||||
(30, 50): {"level": "中低", "color": "#8BC34A", "emoji": "🟡"},
|
||||
(50, 70): {"level": "中高", "color": "#FF9800", "emoji": "🟠"},
|
||||
(70, 90): {"level": "高", "color": "#F44336", "emoji": "🔴"},
|
||||
(90, 101): {"level": "极高", "color": "#B71C1C", "emoji": "⛔"},
|
||||
(0, 30): {"level": "低", "color": "#4CAF50", "emoji": ""},
|
||||
(30, 50): {"level": "中低", "color": "#8BC34A", "emoji": ""},
|
||||
(50, 70): {"level": "中高", "color": "#FF9800", "emoji": ""},
|
||||
(70, 90): {"level": "高", "color": "#F44336", "emoji": ""},
|
||||
(90, 101): {"level": "极高", "color": "#B71C1C", "emoji": ""},
|
||||
}
|
||||
|
||||
|
||||
@@ -24,7 +24,7 @@ def get_risk_level(score: int) -> dict:
|
||||
for (low, high), info in RISK_LEVELS.items():
|
||||
if low <= score < high:
|
||||
return info
|
||||
return {"level": "未知", "color": "#9E9E9E", "emoji": "❓"}
|
||||
return {"level": "未知", "color": "#9E9E9E", "emoji": ""}
|
||||
|
||||
|
||||
def calculate_six_dimension_scores(company_data: dict) -> dict:
|
||||
|
||||
@@ -0,0 +1,205 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
系统集成测试脚本
|
||||
验证所有核心模块是否正常工作
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
def test_data_layer():
|
||||
"""测试数据层"""
|
||||
print("=" * 50)
|
||||
print("测试 1: 数据层")
|
||||
print("=" * 50)
|
||||
from collectors.financial_collector import get_all_companies, get_company_by_code
|
||||
|
||||
companies = get_all_companies()
|
||||
print(f" 已加载 {len(companies)} 家企业")
|
||||
assert len(companies) == 10, f"期望10家企业，实际{len(companies)}"
|
||||
|
||||
c = get_company_by_code("688256")
|
||||
assert c is not None, "未找到寒武纪(688256)"
|
||||
print(f" 寒武纪: {c['short_name']}, 行业: {c['industry']}")
|
||||
print(f" 制裁状态: {c['compliance']['entity_list_status']}")
|
||||
print(" [通过] 数据层测试通过\n")
|
||||
|
||||
def test_entity_list():
|
||||
"""测试实体清单匹配"""
|
||||
print("=" * 50)
|
||||
print("测试 2: 实体清单匹配")
|
||||
print("=" * 50)
|
||||
from collectors.entity_list_collector import check_entity_list, check_supply_chain_sanctions
|
||||
|
||||
result = check_entity_list("中芯国际")
|
||||
print(f" 中芯国际制裁状态: {result['is_sanctioned']}, 匹配: {result['match_type']}")
|
||||
assert result["is_sanctioned"] == True
|
||||
|
||||
result2 = check_entity_list("金山办公")
|
||||
print(f" 金山办公制裁状态: {result2['is_sanctioned']}")
|
||||
assert result2["is_sanctioned"] == False
|
||||
|
||||
# 供应链制裁穿透
|
||||
suppliers = ["ASML", "东京电子", "某国内供应商"]
|
||||
sanctions = check_supply_chain_sanctions("中芯国际", suppliers)
|
||||
print(f" 供应链制裁穿透: 发现 {len(sanctions)} 个受制裁供应商")
|
||||
print(" [通过] 实体清单测试通过\n")
|
||||
|
||||
def test_compliance():
|
||||
"""测试合规数据"""
|
||||
print("=" * 50)
|
||||
print("测试 3: 算法备案合规")
|
||||
print("=" * 50)
|
||||
from collectors.compliance_collector import check_algo_filing, assess_algo_compliance_risk
|
||||
from collectors.financial_collector import get_company_by_code
|
||||
|
||||
filing = check_algo_filing("金山办公")
|
||||
print(f" 金山办公算法备案: {filing['has_filing']}, 备案数: {len(filing['filings'])}")
|
||||
assert filing["has_filing"] == True
|
||||
|
||||
company = get_company_by_code("688787") # 海天瑞声
|
||||
risk = assess_algo_compliance_risk(company)
|
||||
print(f" 海天瑞声合规风险: {risk['overall_risk_level']}")
|
||||
print(" [通过] 合规数据测试通过\n")
|
||||
|
||||
def test_knowledge_graph():
|
||||
"""测试知识图谱"""
|
||||
print("=" * 50)
|
||||
print("测试 4: 知识图谱构建")
|
||||
print("=" * 50)
|
||||
from knowledge_graph.graph_builder import build_graph, get_graph_stats
|
||||
|
||||
G = build_graph()
|
||||
stats = get_graph_stats(G)
|
||||
print(f" 节点数: {stats['total_nodes']}")
|
||||
print(f" 边数: {stats['total_edges']}")
|
||||
print(f" 受制裁节点: {stats['sanctioned_nodes']}")
|
||||
print(f" 节点类型: {stats['node_types']}")
|
||||
assert stats["total_nodes"] > 20
|
||||
assert stats["total_edges"] > 15
|
||||
print(" [通过] 知识图谱测试通过\n")
|
||||
|
||||
def test_contagion():
|
||||
"""测试供应链传染分析"""
|
||||
print("=" * 50)
|
||||
print("测试 5: 供应链风险传染分析")
|
||||
print("=" * 50)
|
||||
from knowledge_graph.graph_builder import build_graph
|
||||
from knowledge_graph.contagion_analyzer import analyze_contagion
|
||||
|
||||
G = build_graph()
|
||||
|
||||
# 中芯国际 - 应该有大量直接风险
|
||||
result = analyze_contagion(G, "中芯国际")
|
||||
print(f" 中芯国际供应链风险评分: {result['risk_score']}/100")
|
||||
print(f" 直接风险: {len(result['direct_risks'])} 个")
|
||||
print(f" 间接风险: {len(result['indirect_risks'])} 个")
|
||||
print(f" 传染路径: {len(result['contagion_paths'])} 条")
|
||||
|
||||
# 海尔生物 - 应该风险较低
|
||||
result2 = analyze_contagion(G, "海尔生物")
|
||||
print(f" 海尔生物供应链风险评分: {result2['risk_score']}/100")
|
||||
print(" [通过] 传染分析测试通过\n")
|
||||
|
||||
def test_risk_scorer():
|
||||
"""测试六维风险评分"""
|
||||
print("=" * 50)
|
||||
print("测试 6: 六维风险评分")
|
||||
print("=" * 50)
|
||||
from collectors.financial_collector import get_all_companies
|
||||
from risk_engine.risk_scorer import calculate_six_dimension_scores
|
||||
|
||||
companies = get_all_companies()
|
||||
print(f" {'企业':<10} {'综合':>6} {'技术':>6} {'人员':>6} {'合规':>6} {'地缘':>6} {'资本化':>6} {'集中':>6}")
|
||||
print(" " + "-" * 60)
|
||||
|
||||
for comp in companies:
|
||||
result = calculate_six_dimension_scores(comp)
|
||||
s = result["scores"]
|
||||
print(f" {comp['short_name']:<10} {result['comprehensive_score']:>5} "
|
||||
f"{s['tech_disruption']:>5} {s['talent_loss']:>5} "
|
||||
f"{s['algo_compliance']:>5} {s['geopolitical']:>5} "
|
||||
f"{s['rd_capitalization']:>5} {s['concentration']:>5}")
|
||||
print(" [通过] 风险评分测试通过\n")
|
||||
|
||||
def test_agents():
|
||||
"""测试多智能体（规则引擎模式）"""
|
||||
print("=" * 50)
|
||||
print("测试 7: 多智能体辩论（规则引擎降级模式）")
|
||||
print("=" * 50)
|
||||
from collectors.financial_collector import get_company_by_code
|
||||
from agents.law_agent import LawAgent
|
||||
from agents.tech_agent import TechAgent
|
||||
from agents.finance_agent import FinanceAgent
|
||||
from agents.judge_agent import JudgeAgent
|
||||
|
||||
company = get_company_by_code("688787") # 海天瑞声 - 高风险案例
|
||||
|
||||
law = LawAgent()
|
||||
law_result = law._rule_based_evaluation(company)
|
||||
print(f" 法务风险: {law_result['overall_law_risk']['score']}分 ({law_result['overall_law_risk']['level']})")
|
||||
|
||||
tech = TechAgent()
|
||||
tech_result = tech._rule_based_evaluation(company)
|
||||
print(f" 技术风险: {tech_result['overall_tech_risk']['score']}分 ({tech_result['overall_tech_risk']['level']})")
|
||||
|
||||
fin = FinanceAgent()
|
||||
fin_result = fin._rule_based_evaluation(company)
|
||||
print(f" 财务风险: {fin_result['overall_fin_risk']['score']}分 ({fin_result['overall_fin_risk']['level']})")
|
||||
|
||||
judge = JudgeAgent()
|
||||
judge_result = judge._rule_based_evaluation(company, law_result, tech_result, fin_result)
|
||||
print(f" 综合评分: {judge_result['comprehensive_score']}分")
|
||||
print(f" 核保决策: {judge_result['underwriting_decision']}")
|
||||
print(f" 关键风险: {judge_result['key_risks']}")
|
||||
print(" [通过] 多智能体测试通过\n")
|
||||
|
||||
def test_dynamic_pricing():
|
||||
"""测试动态定价"""
|
||||
print("=" * 50)
|
||||
print("测试 8: 动态保险定价")
|
||||
print("=" * 50)
|
||||
from risk_engine.dynamic_pricing import calculate_all_products
|
||||
|
||||
# 高风险企业
|
||||
scores_high = {
|
||||
"tech_disruption": 80, "talent_loss": 75,
|
||||
"algo_compliance": 60, "geopolitical": 90,
|
||||
"rd_capitalization": 45, "concentration": 85,
|
||||
}
|
||||
results = calculate_all_products(75, scores_high, "芯片", 1_170_000_000)
|
||||
print(" 寒武纪（高风险）保费方案:")
|
||||
for r in results:
|
||||
print(f" {r['product_name']}: 基础¥{r['base_premium']:,.0f} -> 最终¥{r['final_premium']:,.0f} "
|
||||
f"(倍率{r['risk_multiplier']:.2f}) {'[通过]可保' if r['is_insurable'] else '[失败]拒保'}")
|
||||
|
||||
# 低风险企业
|
||||
scores_low = {
|
||||
"tech_disruption": 30, "talent_loss": 25,
|
||||
"algo_compliance": 15, "geopolitical": 18,
|
||||
"rd_capitalization": 10, "concentration": 20,
|
||||
}
|
||||
results2 = calculate_all_products(20, scores_low, "医疗器械", 2_580_000_000)
|
||||
print(" 南微医学（低风险）保费方案:")
|
||||
for r in results2:
|
||||
print(f" {r['product_name']}: 基础¥{r['base_premium']:,.0f} -> 最终¥{r['final_premium']:,.0f} "
|
||||
f"(倍率{r['risk_multiplier']:.2f})")
|
||||
print(" [通过] 动态定价测试通过\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("\n 科创企业智能风控系统 - 集成测试\n")
|
||||
|
||||
test_data_layer()
|
||||
test_entity_list()
|
||||
test_compliance()
|
||||
test_knowledge_graph()
|
||||
test_contagion()
|
||||
test_risk_scorer()
|
||||
test_agents()
|
||||
test_dynamic_pricing()
|
||||
|
||||
print("=" * 50)
|
||||
print("[成功] 所有测试通过！系统可以正常运行。")
|
||||
print("=" * 50)
|
||||
print("\n启动可视化系统: streamlit run app.py")
|
||||
@@ -50,7 +50,7 @@ def set_global_company_code(code: str):
|
||||
st.session_state[GLOBAL_COMPANY_KEY] = code
|
||||
|
||||
|
||||
def render_company_selector(label: str = "🏢 选择待评估科创企业", key_suffix: str = "main"):
|
||||
def render_company_selector(label: str = "选择待评估科创企业", key_suffix: str = "main"):
|
||||
"""
|
||||
渲染与全局 session_state 双向同步的企业选择下拉框
|
||||
返回: selected_company_dict (选中的企业数据字典)
|
||||
@@ -61,7 +61,7 @@ def render_company_selector(label: str = "🏢 选择待评估科创企业", key
|
||||
if not companies:
|
||||
return None
|
||||
|
||||
# 构建带图标与领域的名称映射
|
||||
# 构建带领域的名称映射
|
||||
company_options = {f"{c['short_name']} ({c['stock_code']}) - {c['sector']}": c["stock_code"] for c in companies}
|
||||
labels_list = list(company_options.keys())
|
||||
codes_list = [c["stock_code"] for c in companies]
|
||||
@@ -102,7 +102,7 @@ def render_sidebar_global_company_selector():
|
||||
current_code = get_global_company_code()
|
||||
default_index = codes_list.index(current_code) if current_code in codes_list else 0
|
||||
|
||||
st.markdown("### 🏢 全局联动评估目标")
|
||||
st.markdown("### 全局联动评估目标")
|
||||
selected_label = st.selectbox(
|
||||
"当前联动目标企业:",
|
||||
labels_list,
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🛡️ 科创企业智能风控与核保系统 - 首页 / 风控大屏入口
|
||||
科创企业智能风控与核保系统 - 首页 / 风控大屏入口
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
@@ -98,23 +98,23 @@ from utils.session_helper import render_sidebar_global_company_selector
|
||||
with st.sidebar:
|
||||
render_sidebar_global_company_selector()
|
||||
st.markdown("---")
|
||||
st.markdown("### 🛡️ 系统导航")
|
||||
st.markdown("### 系统导航")
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
**功能模块**
|
||||
- 🏠 系统首页
|
||||
- 📊 企业风险概览
|
||||
- 🕸️ 供应链知识图谱
|
||||
- ⚖️ 多智能体辩论诊断
|
||||
- 💰 动态定价与核保
|
||||
- 00 系统首页
|
||||
- 01 企业风险概览
|
||||
- 02 供应链知识图谱
|
||||
- 03 多智能体辩论诊断
|
||||
- 04 动态定价与核保
|
||||
""")
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
**技术栈**
|
||||
- 🤖 DeepSeek API (LLM)
|
||||
- 🕸️ NetworkX (知识图谱)
|
||||
- 📊 Plotly (可视化)
|
||||
- 🔧 Streamlit (Web框架)
|
||||
- DeepSeek API (LLM)
|
||||
- NetworkX (知识图谱)
|
||||
- Plotly (数据可视化)
|
||||
- Streamlit (Web微服务框架)
|
||||
""")
|
||||
st.markdown("---")
|
||||
st.caption("中国平安 × 挑战杯 · 科创风控原型")
|
||||
@@ -126,7 +126,7 @@ with st.sidebar:
|
||||
# 标题
|
||||
st.markdown("""
|
||||
<div class="main-title">
|
||||
<h1>🛡️ 科创企业智能风控与核保系统</h1>
|
||||
<h1>科创企业智能风控与核保系统</h1>
|
||||
<p>基于多智能体辩论 × 知识图谱 × 动态定价的全链条风控平台</p>
|
||||
<p style="font-size: 0.85em; color: #666;">中国青基会平安励志计划 · XH-202626 · 科创企业特有风险的识别与管理</p>
|
||||
</div>
|
||||
@@ -138,7 +138,7 @@ companies = get_all_companies()
|
||||
# ============================================================
|
||||
# 统计概览卡片
|
||||
# ============================================================
|
||||
st.markdown("### 📊 系统概览")
|
||||
st.markdown("### 系统概览")
|
||||
|
||||
# 计算所有企业的风险评分
|
||||
risk_data = []
|
||||
@@ -172,7 +172,7 @@ with col2:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #F44336;">{high_risk}</div>
|
||||
<div class="label">⚠️ 高风险企业</div>
|
||||
<div class="label">高风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -181,7 +181,7 @@ with col3:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #FF9800;">{med_risk}</div>
|
||||
<div class="label">🟡 中风险企业</div>
|
||||
<div class="label">中风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -190,7 +190,7 @@ with col4:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #4CAF50;">{low_risk}</div>
|
||||
<div class="label">🟢 低风险企业</div>
|
||||
<div class="label">低风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -199,7 +199,7 @@ with col5:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #B71C1C;">{sanctioned}</div>
|
||||
<div class="label">⛔ 受制裁企业</div>
|
||||
<div class="label">受制裁企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -211,7 +211,7 @@ st.markdown("<br>", unsafe_allow_html=True)
|
||||
col_left, col_right = st.columns([3, 2])
|
||||
|
||||
with col_left:
|
||||
st.markdown("#### 🎯 企业综合风险评分分布")
|
||||
st.markdown("#### 企业综合风险评分分布")
|
||||
|
||||
# 水平柱状图，按风险排序
|
||||
df_sorted = df.sort_values("comprehensive_score", ascending=True)
|
||||
@@ -256,7 +256,7 @@ with col_left:
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
|
||||
with col_right:
|
||||
st.markdown("#### 🏷️ 行业风险热力")
|
||||
st.markdown("#### 行业风险热力")
|
||||
|
||||
# 按行业汇总
|
||||
sector_risk = df.groupby("sector")["comprehensive_score"].mean().reset_index()
|
||||
@@ -283,7 +283,7 @@ with col_right:
|
||||
# ============================================================
|
||||
# 企业列表
|
||||
# ============================================================
|
||||
st.markdown("### 📋 企业风险速览")
|
||||
st.markdown("### 企业风险速览")
|
||||
|
||||
# 格式化数据表格
|
||||
display_df = df[["company", "stock_code", "industry", "comprehensive_score", "risk_level"]].copy()
|
||||
@@ -297,7 +297,7 @@ st.dataframe(display_df, use_container_width=True, height=400)
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
<div style="text-align: center; color: #666; font-size: 0.85em;">
|
||||
<p>🛡️ 科创企业智能风控与核保系统 v1.0</p>
|
||||
<p>科创企业智能风控与核保系统 v1.0</p>
|
||||
<p>技术架构: Multi-Agent 交叉验证 × 供应链知识图谱 × 动态保险定价</p>
|
||||
<p>数据来源: 科创板公开年报 · BIS 实体清单 · 网信办算法备案公示</p>
|
||||
</div>
|
||||
@@ -45,7 +45,7 @@ DEEPSEEK_API_KEY = "your-deepseek-api-key"
|
||||
#### 4. 一键启动 Web 系统
|
||||
在终端运行以下命令启动本地交互服务：
|
||||
```bash
|
||||
streamlit run 🏠_系统首页.py
|
||||
streamlit run 系统首页.py
|
||||
```
|
||||
终端启动成功后，浏览器将自动弹窗并打开系统界面：
|
||||
`http://localhost:8501`
|
||||
@@ -59,14 +59,14 @@ streamlit run 🏠_系统首页.py
|
||||
#### 1. 代码目录结构
|
||||
```text
|
||||
/opt/risk_system/
|
||||
├── 🏠_系统首页.py # 系统控制台大屏入口
|
||||
├── 系统首页.py # 系统控制台大屏入口
|
||||
├── config.py # 全局参数与风控规则配置
|
||||
├── requirements.txt # Python 依赖清单
|
||||
├── pages/ # 4 大业务功能子模块
|
||||
│ ├── 01_📊_企业风险概览.py
|
||||
│ ├── 02_🕸️_供应链知识图谱.py
|
||||
│ ├── 03_🤖_多智能体辩论诊断.py
|
||||
│ └── 04_💰_动态定价与核保.py
|
||||
│ ├── 1_企业风险概览.py
|
||||
│ ├── 2_供应链知识图谱.py
|
||||
│ ├── 3_多智能体辩论诊断.py
|
||||
│ └── 4_动态定价与核保.py
|
||||
├── risk_engine/ # Multi-Agent 专家辩论与冲突平息引擎
|
||||
├── knowledge_graph/ # NetworkX 图谱拓扑与 BIS 穿透算法
|
||||
└── collectors/ # AKShare 财报与网信办/BIS 提取器
|
||||
@@ -82,7 +82,7 @@ After=network.target
|
||||
[Service]
|
||||
User=root
|
||||
WorkingDirectory=/opt/risk_system
|
||||
ExecStart=/usr/local/bin/streamlit run 🏠_系统首页.py --server.port 8501 --server.headless true
|
||||
ExecStart=/opt/risk_system/venv/bin/streamlit run 系统首页.py --server.port 8501 --server.headless true
|
||||
Restart=always
|
||||
RestartSec=5
|
||||
|
||||
|
||||
Binary file not shown.
@@ -0,0 +1,12 @@
|
||||
[client]
|
||||
toolbarMode = "minimal"
|
||||
showErrorDetails = false
|
||||
|
||||
[theme]
|
||||
primaryColor = "#e94560"
|
||||
backgroundColor = "#16213e"
|
||||
secondaryBackgroundColor = "#1a1a2e"
|
||||
textColor = "#ffffff"
|
||||
|
||||
[browser]
|
||||
gatherUsageStats = false
|
||||
@@ -15,7 +15,7 @@ logger = logging.getLogger(__name__)
|
||||
class BaseAgent:
|
||||
"""智能体基类，支持 Token 级流式 LLM 推理与降级逻辑"""
|
||||
|
||||
def __init__(self, name: str, system_prompt: str, role_icon: str = "🤖"):
|
||||
def __init__(self, name: str, system_prompt: str, role_icon: str = ""):
|
||||
self.name = name
|
||||
self.system_prompt = system_prompt
|
||||
self.role_icon = role_icon
|
||||
@@ -96,20 +96,20 @@ class BaseAgent:
|
||||
逐 Token 实时推送到 on_token_callback 渲染打字机效果
|
||||
"""
|
||||
self.reasoning_trace = []
|
||||
self._trace("📝 构建 Context", f"准备【{self.name}】数据与 Prompt")
|
||||
self._trace("构建 Context", f"准备【{self.name}】数据与 Prompt")
|
||||
|
||||
client = self._get_client()
|
||||
if client is None:
|
||||
self._trace("📌 智能体研判", "执行科创风控知识图谱深度分析")
|
||||
self._trace("智能体研判", "执行科创风控知识图谱深度分析")
|
||||
fallback = self.fallback_inference(prompt)
|
||||
self._trace("📄 智能分析输出", fallback)
|
||||
self._trace("智能分析输出", fallback)
|
||||
return fallback
|
||||
|
||||
self._trace("🔗 大模型连接", f"已连接大模型推理服务 ({self._model})")
|
||||
self._trace("大模型连接", f"已连接大模型推理服务 ({self._model})")
|
||||
|
||||
for attempt in range(max_retries + 1):
|
||||
try:
|
||||
self._trace("🚀 发起流式推理", "正在建立 SSE 流式传输通道...")
|
||||
self._trace("发起流式推理", "正在建立 SSE 流式传输通道...")
|
||||
t0 = time.time()
|
||||
|
||||
stream_resp = client.chat.completions.create(
|
||||
@@ -157,11 +157,11 @@ class BaseAgent:
|
||||
full_reasoning = "".join(reasoning_chunks)
|
||||
|
||||
if full_reasoning:
|
||||
self._trace("🧠 完整思维链", full_reasoning)
|
||||
self._trace("完整思维链", full_reasoning)
|
||||
|
||||
if final_text.strip():
|
||||
self._trace("✅ 流式生成完毕", f"耗时 {elapsed:.1f}s | 产出 {len(final_text)} 字符")
|
||||
self._trace("📄 原始推理输出", final_text)
|
||||
self._trace("流式生成完毕", f"耗时 {elapsed:.1f}s | 产出 {len(final_text)} 字符")
|
||||
self._trace("原始推理输出", final_text)
|
||||
return final_text
|
||||
|
||||
except Exception as e:
|
||||
@@ -169,7 +169,7 @@ class BaseAgent:
|
||||
logger.warning(f"[{self.name}] 流式调用尝试 {attempt+1} 失败: {e}")
|
||||
# 尝试非流式请求重试
|
||||
try:
|
||||
self._trace("🔄 智能重试", "正在发起备用推理通道...")
|
||||
self._trace("智能重试", "正在发起备用推理通道...")
|
||||
resp = client.chat.completions.create(
|
||||
model=self._model,
|
||||
messages=[
|
||||
@@ -187,15 +187,15 @@ class BaseAgent:
|
||||
self.on_token_callback("content", final_text)
|
||||
except Exception:
|
||||
pass
|
||||
self._trace("✅ 推理生成完毕", f"产出 {len(final_text)} 字符")
|
||||
self._trace("📄 原始推理输出", final_text)
|
||||
self._trace("推理生成完毕", f"产出 {len(final_text)} 字符")
|
||||
self._trace("原始推理输出", final_text)
|
||||
return final_text
|
||||
except Exception as e2:
|
||||
self._trace("⚡ 传输异常", f"连接中断: {str(e2)}")
|
||||
self._trace("传输异常", f"连接中断: {str(e2)}")
|
||||
|
||||
self._trace("📌 智能体专业研判", "完成科创企业特征穿透审查分析")
|
||||
self._trace("智能体专业研判", "完成科创企业特征穿透审查分析")
|
||||
fallback = self.fallback_inference(prompt)
|
||||
self._trace("📄 智能分析输出", fallback)
|
||||
self._trace("智能分析输出", fallback)
|
||||
return fallback
|
||||
|
||||
def infer_json(self, prompt: str, temperature: float = 0.1) -> dict:
|
||||
@@ -207,19 +207,19 @@ class BaseAgent:
|
||||
if "```json" in result:
|
||||
json_str = result.split("```json")[1].split("```")[0].strip()
|
||||
parsed = json.loads(json_str)
|
||||
self._trace("✅ 结构解析", "从 Markdown 成功提取 JSON 数据")
|
||||
self._trace("结构解析", "从 Markdown 成功提取 JSON 数据")
|
||||
return parsed
|
||||
elif "```" in result:
|
||||
json_str = result.split("```")[1].split("```")[0].strip()
|
||||
parsed = json.loads(json_str)
|
||||
self._trace("✅ 结构解析", "从代码块成功提取 JSON 数据")
|
||||
self._trace("结构解析", "从代码块成功提取 JSON 数据")
|
||||
return parsed
|
||||
else:
|
||||
parsed = json.loads(result)
|
||||
self._trace("✅ 结构解析", "直接解析 JSON 成功")
|
||||
self._trace("结构解析", "直接解析 JSON 成功")
|
||||
return parsed
|
||||
except (json.JSONDecodeError, IndexError):
|
||||
self._trace("⚠️ 格式适配", "启用自动结构修正")
|
||||
self._trace("格式适配", "启用自动结构修正")
|
||||
logger.warning(f"[{self.name}] JSON 解析失败，返回原始文本")
|
||||
return {"raw_response": result, "parse_error": True}
|
||||
|
||||
@@ -228,4 +228,5 @@ class BaseAgent:
|
||||
return json.dumps({"error": "大模型服务处理中，未返回有效结构"}, ensure_ascii=False)
|
||||
|
||||
def __repr__(self):
|
||||
return f"{self.role_icon} {self.name}"
|
||||
return f"{self.name}"
|
||||
|
||||
|
||||
@@ -38,39 +38,39 @@ class DebateEngine:
|
||||
company_name = company_data.get("short_name", company_data.get("company_name", "未知"))
|
||||
start_time = time.time()
|
||||
|
||||
self._log(f"🏁 启动对 [{company_name}] 的多智能体交叉验证辩论")
|
||||
self._log(f"启动对 [{company_name}] 的多智能体交叉验证辩论")
|
||||
|
||||
# ==============================
|
||||
# Phase 1: 独立研判
|
||||
# ==============================
|
||||
self._log("=" * 50)
|
||||
self._log("📋 Phase 1: 各节点独立研判")
|
||||
self._log("Phase 1: 各节点独立研判")
|
||||
self._log("=" * 50)
|
||||
|
||||
# 法务节点
|
||||
self._log("👩⚖️ 法务风控节点开始评估...")
|
||||
self._log("法务风控节点开始评估...")
|
||||
if callback:
|
||||
callback("law_start", "法务风控节点开始评估...", None)
|
||||
law_result = self.law_agent.evaluate(company_data)
|
||||
self._log(f"👩⚖️ 法务节点完成: 综合法务风险 {law_result.get('overall_law_risk', {}).get('score', '?')} 分")
|
||||
self._log(f"法务节点完成: 综合法务风险 {law_result.get('overall_law_risk', {}).get('score', '?')} 分")
|
||||
if callback:
|
||||
callback("law_done", "法务风控节点评估完成", law_result)
|
||||
|
||||
# 技术节点
|
||||
self._log("👨🔬 技术风控节点开始评估...")
|
||||
self._log("技术风控节点开始评估...")
|
||||
if callback:
|
||||
callback("tech_start", "技术风控节点开始评估...", None)
|
||||
tech_result = self.tech_agent.evaluate(company_data)
|
||||
self._log(f"👨🔬 技术节点完成: 综合技术风险 {tech_result.get('overall_tech_risk', {}).get('score', '?')} 分")
|
||||
self._log(f"技术节点完成: 综合技术风险 {tech_result.get('overall_tech_risk', {}).get('score', '?')} 分")
|
||||
if callback:
|
||||
callback("tech_done", "技术风控节点评估完成", tech_result)
|
||||
|
||||
# 财务节点
|
||||
self._log("👔 财务风控节点开始评估...")
|
||||
self._log("财务风控节点开始评估...")
|
||||
if callback:
|
||||
callback("fin_start", "财务风控节点开始评估...", None)
|
||||
finance_result = self.finance_agent.evaluate(company_data)
|
||||
self._log(f"👔 财务节点完成: 综合财务风险 {finance_result.get('overall_fin_risk', {}).get('score', '?')} 分")
|
||||
self._log(f"财务节点完成: 综合财务风险 {finance_result.get('overall_fin_risk', {}).get('score', '?')} 分")
|
||||
if callback:
|
||||
callback("fin_done", "财务风控节点评估完成", finance_result)
|
||||
|
||||
@@ -78,14 +78,14 @@ class DebateEngine:
|
||||
# Phase 2: 交叉质证（记录冲突点）
|
||||
# ==============================
|
||||
self._log("=" * 50)
|
||||
self._log("🔄 Phase 2: 交叉质证")
|
||||
self._log("Phase 2: 交叉质证")
|
||||
self._log("=" * 50)
|
||||
|
||||
conflicts = self._identify_conflicts(law_result, tech_result, finance_result)
|
||||
for conflict in conflicts:
|
||||
self._log(f"⚠️ 冲突: {conflict}")
|
||||
self._log(f"冲突: {conflict}")
|
||||
if not conflicts:
|
||||
self._log("✅ 各节点意见一致，无冲突")
|
||||
self._log("各节点意见一致，无冲突")
|
||||
|
||||
if callback:
|
||||
callback("cross_validation", "交叉质证完成", {"conflicts": conflicts})
|
||||
@@ -94,7 +94,7 @@ class DebateEngine:
|
||||
# Phase 3: 综合裁决
|
||||
# ==============================
|
||||
self._log("=" * 50)
|
||||
self._log("⚖️ Phase 3: 综合裁决")
|
||||
self._log("Phase 3: 综合裁决")
|
||||
self._log("=" * 50)
|
||||
|
||||
if callback:
|
||||
@@ -102,13 +102,13 @@ class DebateEngine:
|
||||
judge_result = self.judge_agent.evaluate(
|
||||
company_data, law_result, tech_result, finance_result
|
||||
)
|
||||
self._log(f"⚖️ 综合评分: {judge_result.get('comprehensive_score', '?')} 分")
|
||||
self._log(f"⚖️ 核保建议: 【{judge_result.get('underwriting_decision', '?')}】")
|
||||
self._log(f"综合评分: {judge_result.get('comprehensive_score', '?')} 分")
|
||||
self._log(f"核保建议: 【{judge_result.get('underwriting_decision', '?')}】")
|
||||
if callback:
|
||||
callback("judge_done", "综合裁决完成", judge_result)
|
||||
|
||||
elapsed = time.time() - start_time
|
||||
self._log(f"🏁 辩论完成，耗时 {elapsed:.1f} 秒")
|
||||
self._log(f"辩论完成，耗时 {elapsed:.1f} 秒")
|
||||
|
||||
return {
|
||||
"company": company_name,
|
||||
|
||||
@@ -41,7 +41,7 @@ class FinanceAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="财务风控节点",
|
||||
system_prompt=FIN_SYSTEM_PROMPT,
|
||||
role_icon="👔",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict) -> dict:
|
||||
|
||||
@@ -49,7 +49,7 @@ class JudgeAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="综合裁决节点",
|
||||
system_prompt=JUDGE_SYSTEM_PROMPT,
|
||||
role_icon="⚖️",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict, law_result: dict,
|
||||
@@ -72,13 +72,13 @@ class JudgeAgent(BaseAgent):
|
||||
企业名称：{company_data.get('short_name', '未知')}
|
||||
行业：{company_data.get('industry', '未知')}
|
||||
|
||||
=== 👩⚖️ 法务风控节点评估 ===
|
||||
=== 法务风控节点评估 ===
|
||||
{json.dumps(law_result, ensure_ascii=False, indent=2)}
|
||||
|
||||
=== 👨🔬 技术风控节点评估 ===
|
||||
=== 技术风控节点评估 ===
|
||||
{json.dumps(tech_result, ensure_ascii=False, indent=2)}
|
||||
|
||||
=== 👔 财务风控节点评估 ===
|
||||
=== 财务风控节点评估 ===
|
||||
{json.dumps(finance_result, ensure_ascii=False, indent=2)}
|
||||
|
||||
请消解可能存在的判定冲突，输出综合裁决JSON。"""
|
||||
|
||||
@@ -40,7 +40,7 @@ class LawAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="法务风控节点",
|
||||
system_prompt=LAW_SYSTEM_PROMPT,
|
||||
role_icon="👩⚖️",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict) -> dict:
|
||||
|
||||
@@ -36,7 +36,7 @@ class TechAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="技术风控节点",
|
||||
system_prompt=TECH_SYSTEM_PROMPT,
|
||||
role_icon="👨🔬",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict) -> dict:
|
||||
|
||||
@@ -0,0 +1,14 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
科创企业智能风控与核保系统 - 主入口转接脚本
|
||||
自动重定向并加载 `系统首页.py`
|
||||
"""
|
||||
import runpy
|
||||
import os
|
||||
import sys
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
home_script = os.path.join(os.path.dirname(os.path.abspath(__file__)), "系统首页.py")
|
||||
runpy.run_path(home_script, run_name="__main__")
|
||||
|
||||
@@ -76,6 +76,7 @@ INSURANCE_PRODUCTS = {
|
||||
# ============================================================
|
||||
# Streamlit 页面配置
|
||||
# ============================================================
|
||||
PAGE_TITLE = "🛡️ 科创企业智能风控与核保系统"
|
||||
PAGE_ICON = "🛡️"
|
||||
PAGE_TITLE = "科创企业智能风控与核保系统"
|
||||
PAGE_ICON = None
|
||||
LAYOUT = "wide"
|
||||
|
||||
|
||||
@@ -94,7 +94,7 @@ def generate_interactive_graph(
|
||||
label = node.split("@")[0] if "@" in node else node
|
||||
title_parts = [f"<b>{label}</b>", f"类型: {node_type}"]
|
||||
if data.get("is_sanctioned"):
|
||||
title_parts.append("⚠️ <b>已被制裁</b>")
|
||||
title_parts.append("<b>[已被制裁]</b>")
|
||||
if data.get("stock_code"):
|
||||
title_parts.append(f"代码: {data['stock_code']}")
|
||||
if data.get("industry"):
|
||||
@@ -157,7 +157,7 @@ def _generate_fallback_html(G: nx.DiGraph) -> str:
|
||||
|
||||
return f"""
|
||||
<html><body style='background: #1a1a2e; color: white; padding: 20px;'>
|
||||
<h2>📊 知识图谱节点列表（pyvis 未安装，使用简化视图）</h2>
|
||||
<h2>知识图谱节点列表（pyvis 未安装，使用简化视图）</h2>
|
||||
<p>节点数: {G.number_of_nodes()} | 边数: {G.number_of_edges()}</p>
|
||||
<ul>{''.join(nodes_info[:50])}</ul>
|
||||
<p style='color: #888;'>安装 pyvis 以获得交互式可视化: pip install pyvis</p>
|
||||
|
||||
@@ -0,0 +1,189 @@
|
||||
function neighbourhoodHighlight(params) {
|
||||
// console.log("in nieghbourhoodhighlight");
|
||||
allNodes = nodes.get({ returnType: "Object" });
|
||||
// originalNodes = JSON.parse(JSON.stringify(allNodes));
|
||||
// if something is selected:
|
||||
if (params.nodes.length > 0) {
|
||||
highlightActive = true;
|
||||
var i, j;
|
||||
var selectedNode = params.nodes[0];
|
||||
var degrees = 2;
|
||||
|
||||
// mark all nodes as hard to read.
|
||||
for (let nodeId in allNodes) {
|
||||
// nodeColors[nodeId] = allNodes[nodeId].color;
|
||||
allNodes[nodeId].color = "rgba(200,200,200,0.5)";
|
||||
if (allNodes[nodeId].hiddenLabel === undefined) {
|
||||
allNodes[nodeId].hiddenLabel = allNodes[nodeId].label;
|
||||
allNodes[nodeId].label = undefined;
|
||||
}
|
||||
}
|
||||
var connectedNodes = network.getConnectedNodes(selectedNode);
|
||||
var allConnectedNodes = [];
|
||||
|
||||
// get the second degree nodes
|
||||
for (i = 1; i < degrees; i++) {
|
||||
for (j = 0; j < connectedNodes.length; j++) {
|
||||
allConnectedNodes = allConnectedNodes.concat(
|
||||
network.getConnectedNodes(connectedNodes[j])
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// all second degree nodes get a different color and their label back
|
||||
for (i = 0; i < allConnectedNodes.length; i++) {
|
||||
// allNodes[allConnectedNodes[i]].color = "pink";
|
||||
allNodes[allConnectedNodes[i]].color = "rgba(150,150,150,0.75)";
|
||||
if (allNodes[allConnectedNodes[i]].hiddenLabel !== undefined) {
|
||||
allNodes[allConnectedNodes[i]].label =
|
||||
allNodes[allConnectedNodes[i]].hiddenLabel;
|
||||
allNodes[allConnectedNodes[i]].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
// all first degree nodes get their own color and their label back
|
||||
for (i = 0; i < connectedNodes.length; i++) {
|
||||
// allNodes[connectedNodes[i]].color = undefined;
|
||||
allNodes[connectedNodes[i]].color = nodeColors[connectedNodes[i]];
|
||||
if (allNodes[connectedNodes[i]].hiddenLabel !== undefined) {
|
||||
allNodes[connectedNodes[i]].label =
|
||||
allNodes[connectedNodes[i]].hiddenLabel;
|
||||
allNodes[connectedNodes[i]].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
// the main node gets its own color and its label back.
|
||||
// allNodes[selectedNode].color = undefined;
|
||||
allNodes[selectedNode].color = nodeColors[selectedNode];
|
||||
if (allNodes[selectedNode].hiddenLabel !== undefined) {
|
||||
allNodes[selectedNode].label = allNodes[selectedNode].hiddenLabel;
|
||||
allNodes[selectedNode].hiddenLabel = undefined;
|
||||
}
|
||||
} else if (highlightActive === true) {
|
||||
// console.log("highlightActive was true");
|
||||
// reset all nodes
|
||||
for (let nodeId in allNodes) {
|
||||
// allNodes[nodeId].color = "purple";
|
||||
allNodes[nodeId].color = nodeColors[nodeId];
|
||||
// delete allNodes[nodeId].color;
|
||||
if (allNodes[nodeId].hiddenLabel !== undefined) {
|
||||
allNodes[nodeId].label = allNodes[nodeId].hiddenLabel;
|
||||
allNodes[nodeId].hiddenLabel = undefined;
|
||||
}
|
||||
}
|
||||
highlightActive = false;
|
||||
}
|
||||
|
||||
// transform the object into an array
|
||||
var updateArray = [];
|
||||
if (params.nodes.length > 0) {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
// console.log(allNodes[nodeId]);
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
} else {
|
||||
// console.log("Nothing was selected");
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
// console.log(allNodes[nodeId]);
|
||||
// allNodes[nodeId].color = {};
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
}
|
||||
}
|
||||
|
||||
function filterHighlight(params) {
|
||||
allNodes = nodes.get({ returnType: "Object" });
|
||||
// if something is selected:
|
||||
if (params.nodes.length > 0) {
|
||||
filterActive = true;
|
||||
let selectedNodes = params.nodes;
|
||||
|
||||
// hiding all nodes and saving the label
|
||||
for (let nodeId in allNodes) {
|
||||
allNodes[nodeId].hidden = true;
|
||||
if (allNodes[nodeId].savedLabel === undefined) {
|
||||
allNodes[nodeId].savedLabel = allNodes[nodeId].label;
|
||||
allNodes[nodeId].label = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
for (let i=0; i < selectedNodes.length; i++) {
|
||||
allNodes[selectedNodes[i]].hidden = false;
|
||||
if (allNodes[selectedNodes[i]].savedLabel !== undefined) {
|
||||
allNodes[selectedNodes[i]].label = allNodes[selectedNodes[i]].savedLabel;
|
||||
allNodes[selectedNodes[i]].savedLabel = undefined;
|
||||
}
|
||||
}
|
||||
|
||||
} else if (filterActive === true) {
|
||||
// reset all nodes
|
||||
for (let nodeId in allNodes) {
|
||||
allNodes[nodeId].hidden = false;
|
||||
if (allNodes[nodeId].savedLabel !== undefined) {
|
||||
allNodes[nodeId].label = allNodes[nodeId].savedLabel;
|
||||
allNodes[nodeId].savedLabel = undefined;
|
||||
}
|
||||
}
|
||||
filterActive = false;
|
||||
}
|
||||
|
||||
// transform the object into an array
|
||||
var updateArray = [];
|
||||
if (params.nodes.length > 0) {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
} else {
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes.hasOwnProperty(nodeId)) {
|
||||
updateArray.push(allNodes[nodeId]);
|
||||
}
|
||||
}
|
||||
nodes.update(updateArray);
|
||||
}
|
||||
}
|
||||
|
||||
function selectNode(nodes) {
|
||||
network.selectNodes(nodes);
|
||||
neighbourhoodHighlight({ nodes: nodes });
|
||||
return nodes;
|
||||
}
|
||||
|
||||
function selectNodes(nodes) {
|
||||
network.selectNodes(nodes);
|
||||
filterHighlight({nodes: nodes});
|
||||
return nodes;
|
||||
}
|
||||
|
||||
function highlightFilter(filter) {
|
||||
let selectedNodes = []
|
||||
let selectedProp = filter['property']
|
||||
if (filter['item'] === 'node') {
|
||||
let allNodes = nodes.get({ returnType: "Object" });
|
||||
for (let nodeId in allNodes) {
|
||||
if (allNodes[nodeId][selectedProp] && filter['value'].includes((allNodes[nodeId][selectedProp]).toString())) {
|
||||
selectedNodes.push(nodeId)
|
||||
}
|
||||
}
|
||||
}
|
||||
else if (filter['item'] === 'edge'){
|
||||
let allEdges = edges.get({returnType: 'object'});
|
||||
// check if the selected property exists for selected edge and select the nodes connected to the edge
|
||||
for (let edge in allEdges) {
|
||||
if (allEdges[edge][selectedProp] && filter['value'].includes((allEdges[edge][selectedProp]).toString())) {
|
||||
selectedNodes.push(allEdges[edge]['from'])
|
||||
selectedNodes.push(allEdges[edge]['to'])
|
||||
}
|
||||
}
|
||||
}
|
||||
selectNodes(selectedNodes)
|
||||
}
|
||||
+356
@@ -0,0 +1,356 @@
|
||||
/**
|
||||
* Tom Select v2.0.0-rc.4
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
*/
|
||||
!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).TomSelect=t()}(this,(function(){"use strict"
|
||||
function e(e,t){e.split(/\s+/).forEach((e=>{t(e)}))}class t{constructor(){this._events={}}on(t,i){e(t,(e=>{this._events[e]=this._events[e]||[],this._events[e].push(i)}))}off(t,i){var s=arguments.length
|
||||
0!==s?e(t,(e=>{if(1===s)return delete this._events[e]
|
||||
e in this._events!=!1&&this._events[e].splice(this._events[e].indexOf(i),1)})):this._events={}}trigger(t,...i){var s=this
|
||||
e(t,(e=>{if(e in s._events!=!1)for(let t of s._events[e])t.apply(s,i)}))}}var i
|
||||
const s="[̀-ͯ·ʾ]",n=new RegExp(s,"g")
|
||||
var o
|
||||
const r={"æ":"ae","ⱥ":"a","ø":"o"},l=new RegExp(Object.keys(r).join("|"),"g"),a=[[67,67],[160,160],[192,438],[452,652],[961,961],[1019,1019],[1083,1083],[1281,1289],[1984,1984],[5095,5095],[7429,7441],[7545,7549],[7680,7935],[8580,8580],[9398,9449],[11360,11391],[42792,42793],[42802,42851],[42873,42897],[42912,42922],[64256,64260],[65313,65338],[65345,65370]],c=e=>e.normalize("NFKD").replace(n,"").toLowerCase().replace(l,(function(e){return r[e]})),d=(e,t="|")=>{if(1==e.length)return e[0]
|
||||
var i=1
|
||||
return e.forEach((e=>{i=Math.max(i,e.length)})),1==i?"["+e.join("")+"]":"(?:"+e.join(t)+")"},p=e=>{if(1===e.length)return[[e]]
|
||||
var t=[]
|
||||
return p(e.substring(1)).forEach((function(i){var s=i.slice(0)
|
||||
s[0]=e.charAt(0)+s[0],t.push(s),(s=i.slice(0)).unshift(e.charAt(0)),t.push(s)})),t},u=e=>{void 0===o&&(o=(()=>{var e={}
|
||||
a.forEach((t=>{for(let s=t[0];s<=t[1];s++){let t=String.fromCharCode(s),n=c(t)
|
||||
if(n!=t.toLowerCase()){n in e||(e[n]=[n])
|
||||
var i=new RegExp(d(e[n]),"iu")
|
||||
t.match(i)||e[n].push(t)}}}))
|
||||
var t=Object.keys(e)
|
||||
t=t.sort(((e,t)=>t.length-e.length)),i=new RegExp("("+d(t)+"[̀-ͯ·ʾ]*)","g")
|
||||
var s={}
|
||||
return t.sort(((e,t)=>e.length-t.length)).forEach((t=>{var i=p(t).map((t=>(t=t.map((t=>e.hasOwnProperty(t)?d(e[t]):t)),d(t,""))))
|
||||
s[t]=d(i)})),s})())
|
||||
return e.normalize("NFKD").toLowerCase().split(i).map((e=>{if(""==e)return""
|
||||
const t=c(e)
|
||||
if(o.hasOwnProperty(t))return o[t]
|
||||
const i=e.normalize("NFC")
|
||||
return i!=e?d([e,i]):e})).join("")},h=(e,t)=>{if(e)return e[t]},g=(e,t)=>{if(e){for(var i,s=t.split(".");(i=s.shift())&&(e=e[i]););return e}},f=(e,t,i)=>{var s,n
|
||||
return e?-1===(n=(e+="").search(t.regex))?0:(s=t.string.length/e.length,0===n&&(s+=.5),s*i):0},v=e=>(e+"").replace(/([\$\(-\+\.\?\[-\^\{-\}])/g,"\\$1"),m=(e,t)=>{var i=e[t]
|
||||
if("function"==typeof i)return i
|
||||
i&&!Array.isArray(i)&&(e[t]=[i])},y=(e,t)=>{if(Array.isArray(e))e.forEach(t)
|
||||
else for(var i in e)e.hasOwnProperty(i)&&t(e[i],i)},O=(e,t)=>"number"==typeof e&&"number"==typeof t?e>t?1:e<t?-1:0:(e=c(e+"").toLowerCase())>(t=c(t+"").toLowerCase())?1:t>e?-1:0
|
||||
class b{constructor(e,t){this.items=e,this.settings=t||{diacritics:!0}}tokenize(e,t,i){if(!e||!e.length)return[]
|
||||
const s=[],n=e.split(/\s+/)
|
||||
var o
|
||||
return i&&(o=new RegExp("^("+Object.keys(i).map(v).join("|")+"):(.*)$")),n.forEach((e=>{let i,n=null,r=null
|
||||
o&&(i=e.match(o))&&(n=i[1],e=i[2]),e.length>0&&(r=v(e),this.settings.diacritics&&(r=u(r)),t&&(r="\\b"+r)),s.push({string:e,regex:r?new RegExp(r,"iu"):null,field:n})})),s}getScoreFunction(e,t){var i=this.prepareSearch(e,t)
|
||||
return this._getScoreFunction(i)}_getScoreFunction(e){const t=e.tokens,i=t.length
|
||||
if(!i)return function(){return 0}
|
||||
const s=e.options.fields,n=e.weights,o=s.length,r=e.getAttrFn
|
||||
if(!o)return function(){return 1}
|
||||
const l=1===o?function(e,t){const i=s[0].field
|
||||
return f(r(t,i),e,n[i])}:function(e,t){var i=0
|
||||
if(e.field){const s=r(t,e.field)
|
||||
!e.regex&&s?i+=1/o:i+=f(s,e,1)}else y(n,((s,n)=>{i+=f(r(t,n),e,s)}))
|
||||
return i/o}
|
||||
return 1===i?function(e){return l(t[0],e)}:"and"===e.options.conjunction?function(e){for(var s,n=0,o=0;n<i;n++){if((s=l(t[n],e))<=0)return 0
|
||||
o+=s}return o/i}:function(e){var s=0
|
||||
return y(t,(t=>{s+=l(t,e)})),s/i}}getSortFunction(e,t){var i=this.prepareSearch(e,t)
|
||||
return this._getSortFunction(i)}_getSortFunction(e){var t,i,s
|
||||
const n=this,o=e.options,r=!e.query&&o.sort_empty?o.sort_empty:o.sort,l=[],a=[]
|
||||
if("function"==typeof r)return r.bind(this)
|
||||
const c=function(t,i){return"$score"===t?i.score:e.getAttrFn(n.items[i.id],t)}
|
||||
if(r)for(t=0,i=r.length;t<i;t++)(e.query||"$score"!==r[t].field)&&l.push(r[t])
|
||||
if(e.query){for(s=!0,t=0,i=l.length;t<i;t++)if("$score"===l[t].field){s=!1
|
||||
break}s&&l.unshift({field:"$score",direction:"desc"})}else for(t=0,i=l.length;t<i;t++)if("$score"===l[t].field){l.splice(t,1)
|
||||
break}for(t=0,i=l.length;t<i;t++)a.push("desc"===l[t].direction?-1:1)
|
||||
const d=l.length
|
||||
if(d){if(1===d){const e=l[0].field,t=a[0]
|
||||
return function(i,s){return t*O(c(e,i),c(e,s))}}return function(e,t){var i,s,n
|
||||
for(i=0;i<d;i++)if(n=l[i].field,s=a[i]*O(c(n,e),c(n,t)))return s
|
||||
return 0}}return null}prepareSearch(e,t){const i={}
|
||||
var s=Object.assign({},t)
|
||||
if(m(s,"sort"),m(s,"sort_empty"),s.fields){m(s,"fields")
|
||||
const e=[]
|
||||
s.fields.forEach((t=>{"string"==typeof t&&(t={field:t,weight:1}),e.push(t),i[t.field]="weight"in t?t.weight:1})),s.fields=e}return{options:s,query:e.toLowerCase().trim(),tokens:this.tokenize(e,s.respect_word_boundaries,i),total:0,items:[],weights:i,getAttrFn:s.nesting?g:h}}search(e,t){var i,s,n=this
|
||||
s=this.prepareSearch(e,t),t=s.options,e=s.query
|
||||
const o=t.score||n._getScoreFunction(s)
|
||||
e.length?y(n.items,((e,n)=>{i=o(e),(!1===t.filter||i>0)&&s.items.push({score:i,id:n})})):y(n.items,((e,t)=>{s.items.push({score:1,id:t})}))
|
||||
const r=n._getSortFunction(s)
|
||||
return r&&s.items.sort(r),s.total=s.items.length,"number"==typeof t.limit&&(s.items=s.items.slice(0,t.limit)),s}}const w=e=>{if(e.jquery)return e[0]
|
||||
if(e instanceof HTMLElement)return e
|
||||
if(e.indexOf("<")>-1){let t=document.createElement("div")
|
||||
return t.innerHTML=e.trim(),t.firstChild}return document.querySelector(e)},_=(e,t)=>{var i=document.createEvent("HTMLEvents")
|
||||
i.initEvent(t,!0,!1),e.dispatchEvent(i)},I=(e,t)=>{Object.assign(e.style,t)},C=(e,...t)=>{var i=A(t);(e=x(e)).map((e=>{i.map((t=>{e.classList.add(t)}))}))},S=(e,...t)=>{var i=A(t);(e=x(e)).map((e=>{i.map((t=>{e.classList.remove(t)}))}))},A=e=>{var t=[]
|
||||
return y(e,(e=>{"string"==typeof e&&(e=e.trim().split(/[\11\12\14\15\40]/)),Array.isArray(e)&&(t=t.concat(e))})),t.filter(Boolean)},x=e=>(Array.isArray(e)||(e=[e]),e),k=(e,t,i)=>{if(!i||i.contains(e))for(;e&&e.matches;){if(e.matches(t))return e
|
||||
e=e.parentNode}},F=(e,t=0)=>t>0?e[e.length-1]:e[0],L=(e,t)=>{if(!e)return-1
|
||||
t=t||e.nodeName
|
||||
for(var i=0;e=e.previousElementSibling;)e.matches(t)&&i++
|
||||
return i},P=(e,t)=>{y(t,((t,i)=>{null==t?e.removeAttribute(i):e.setAttribute(i,""+t)}))},E=(e,t)=>{e.parentNode&&e.parentNode.replaceChild(t,e)},T=(e,t)=>{if(null===t)return
|
||||
if("string"==typeof t){if(!t.length)return
|
||||
t=new RegExp(t,"i")}const i=e=>3===e.nodeType?(e=>{var i=e.data.match(t)
|
||||
if(i&&e.data.length>0){var s=document.createElement("span")
|
||||
s.className="highlight"
|
||||
var n=e.splitText(i.index)
|
||||
n.splitText(i[0].length)
|
||||
var o=n.cloneNode(!0)
|
||||
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|
||||
i(e)},V="undefined"!=typeof navigator&&/Mac/.test(navigator.userAgent)?"metaKey":"ctrlKey"
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||||
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|
||||
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|
||||
return function(s,n){var o=this
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||||
i&&(o.loading=Math.max(o.loading-1,0),clearTimeout(i)),i=setTimeout((function(){i=null,o.loadedSearches[s]=!0,e.call(o,s,n)}),t)}},R=(e,t,i)=>{var s,n=e.trigger,o={}
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||||
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||||
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||||
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||||
return i||(e.setAttribute("id",t),t)},Q=e=>e.replace(/[\\"']/g,"\\$&"),G=(e,t)=>{t&&e.append(t)}
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|
||||
if(!p&&!i.allowEmptyOption){let t=e.querySelector('option[value=""]')
|
||||
t&&(p=t.textContent)}var u,h,g,f,v,m,O={placeholder:p,options:[],optgroups:[],items:[],maxItems:null}
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||||
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||||
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||||
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class J extends(function(e){return e.plugins={},class extends e{constructor(...e){super(...e),this.plugins={names:[],settings:{},requested:{},loaded:{}}}static define(t,i){e.plugins[t]={name:t,fn:i}}initializePlugins(e){var t,i
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||||
const s=this,n=[]
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||||
if(Array.isArray(e))e.forEach((e=>{"string"==typeof e?n.push(e):(s.plugins.settings[e.name]=e.options,n.push(e.name))}))
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||||
for(;i=n.shift();)s.require(i)}loadPlugin(t){var i=this,s=i.plugins,n=e.plugins[t]
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||||
if(!e.plugins.hasOwnProperty(t))throw new Error('Unable to find "'+t+'" plugin')
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||||
s.requested[t]=!0,s.loaded[t]=n.fn.apply(i,[i.plugins.settings[t]||{}]),s.names.push(t)}require(e){var t=this,i=t.plugins
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||||
if(!t.plugins.loaded.hasOwnProperty(e)){if(i.requested[e])throw new Error('Plugin has circular dependency ("'+e+'")')
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||||
t.loadPlugin(e)}return i.loaded[e]}}}(t)){constructor(e,t){var i
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||||
super(),this.order=0,this.isOpen=!1,this.isDisabled=!1,this.isInvalid=!1,this.isValid=!0,this.isLocked=!1,this.isFocused=!1,this.isInputHidden=!1,this.isSetup=!1,this.ignoreFocus=!1,this.hasOptions=!1,this.lastValue="",this.caretPos=0,this.loading=0,this.loadedSearches={},this.activeOption=null,this.activeItems=[],this.optgroups={},this.options={},this.userOptions={},this.items=[],W++
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||||
var s=w(e)
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||||
if(s.tomselect)throw new Error("Tom Select already initialized on this element")
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||||
s.tomselect=this,i=(window.getComputedStyle&&window.getComputedStyle(s,null)).getPropertyValue("direction")
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||||
const n=U(s,t)
|
||||
this.settings=n,this.input=s,this.tabIndex=s.tabIndex||0,this.is_select_tag="select"===s.tagName.toLowerCase(),this.rtl=/rtl/i.test(i),this.inputId=M(s,"tomselect-"+W),this.isRequired=s.required,this.sifter=new b(this.options,{diacritics:n.diacritics}),n.mode=n.mode||(1===n.maxItems?"single":"multi"),"boolean"!=typeof n.hideSelected&&(n.hideSelected="multi"===n.mode),"boolean"!=typeof n.hidePlaceholder&&(n.hidePlaceholder="multi"!==n.mode)
|
||||
var o=n.createFilter
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"function"!=typeof o&&("string"==typeof o&&(o=new RegExp(o)),o instanceof RegExp?n.createFilter=e=>o.test(e):n.createFilter=()=>!0),this.initializePlugins(n.plugins),this.setupCallbacks(),this.setupTemplates()
|
||||
const r=w("<div>"),l=w("<div>"),a=this._render("dropdown"),c=w('<div role="listbox" tabindex="-1">'),d=this.input.getAttribute("class")||"",p=n.mode
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||||
var u
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||||
if(C(r,n.wrapperClass,d,p),C(l,n.controlClass),G(r,l),C(a,n.dropdownClass,p),n.copyClassesToDropdown&&C(a,d),C(c,n.dropdownContentClass),G(a,c),w(n.dropdownParent||r).appendChild(a),n.hasOwnProperty("controlInput"))n.controlInput?(u=w(n.controlInput),this.focus_node=u):(u=w("<input/>"),this.focus_node=l)
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||||
else{u=w('<input type="text" autocomplete="off" size="1" />')
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||||
y(["autocorrect","autocapitalize","autocomplete"],(e=>{s.getAttribute(e)&&P(u,{[e]:s.getAttribute(e)})})),u.tabIndex=-1,l.appendChild(u),this.focus_node=u}this.wrapper=r,this.dropdown=a,this.dropdown_content=c,this.control=l,this.control_input=u,this.setup()}setup(){const e=this,t=e.settings,i=e.control_input,s=e.dropdown,n=e.dropdown_content,o=e.wrapper,r=e.control,l=e.input,a=e.focus_node,c={passive:!0},d=e.inputId+"-ts-dropdown"
|
||||
P(n,{id:d}),P(a,{role:"combobox","aria-haspopup":"listbox","aria-expanded":"false","aria-controls":d})
|
||||
const p=M(a,e.inputId+"-ts-control"),u="label[for='"+(e=>e.replace(/['"\\]/g,"\\$&"))(e.inputId)+"']",h=document.querySelector(u),g=e.focus.bind(e)
|
||||
if(h){B(h,"click",g),P(h,{for:p})
|
||||
const t=M(h,e.inputId+"-ts-label")
|
||||
P(a,{"aria-labelledby":t}),P(n,{"aria-labelledby":t})}if(o.style.width=l.style.width,e.plugins.names.length){const t="plugin-"+e.plugins.names.join(" plugin-")
|
||||
C([o,s],t)}(null===t.maxItems||t.maxItems>1)&&e.is_select_tag&&P(l,{multiple:"multiple"}),e.settings.placeholder&&P(i,{placeholder:t.placeholder}),!e.settings.splitOn&&e.settings.delimiter&&(e.settings.splitOn=new RegExp("\\s*"+v(e.settings.delimiter)+"+\\s*")),t.load&&t.loadThrottle&&(t.load=z(t.load,t.loadThrottle)),e.control_input.type=l.type,B(s,"click",(t=>{const i=k(t.target,"[data-selectable]")
|
||||
i&&(e.onOptionSelect(t,i),H(t,!0))})),B(r,"click",(t=>{var s=k(t.target,"[data-ts-item]",r)
|
||||
s&&e.onItemSelect(t,s)?H(t,!0):""==i.value&&(e.onClick(),H(t,!0))})),B(i,"mousedown",(e=>{""!==i.value&&e.stopPropagation()})),B(a,"keydown",(t=>e.onKeyDown(t))),B(i,"keypress",(t=>e.onKeyPress(t))),B(i,"input",(t=>e.onInput(t))),B(a,"resize",(()=>e.positionDropdown()),c),B(a,"blur",(t=>e.onBlur(t))),B(a,"focus",(t=>e.onFocus(t))),B(a,"paste",(t=>e.onPaste(t)))
|
||||
const f=t=>{const i=t.composedPath()[0]
|
||||
if(!o.contains(i)&&!s.contains(i))return e.isFocused&&e.blur(),void e.inputState()
|
||||
H(t,!0)}
|
||||
var m=()=>{e.isOpen&&e.positionDropdown()}
|
||||
B(document,"mousedown",f),B(window,"scroll",m,c),B(window,"resize",m,c),this._destroy=()=>{document.removeEventListener("mousedown",f),window.removeEventListener("sroll",m),window.removeEventListener("resize",m),h&&h.removeEventListener("click",g)},this.revertSettings={innerHTML:l.innerHTML,tabIndex:l.tabIndex},l.tabIndex=-1,l.insertAdjacentElement("afterend",e.wrapper),e.sync(!1),t.items=[],delete t.optgroups,delete t.options,B(l,"invalid",(t=>{e.isValid&&(e.isValid=!1,e.isInvalid=!0,e.refreshState())})),e.updateOriginalInput(),e.refreshItems(),e.close(!1),e.inputState(),e.isSetup=!0,l.disabled?e.disable():e.enable(),e.on("change",this.onChange),C(l,"tomselected","ts-hidden-accessible"),e.trigger("initialize"),!0===t.preload&&e.preload()}setupOptions(e=[],t=[]){this.addOptions(e),y(t,(e=>{this.registerOptionGroup(e)}))}setupTemplates(){var e=this,t=e.settings.labelField,i=e.settings.optgroupLabelField,s={optgroup:e=>{let t=document.createElement("div")
|
||||
return t.className="optgroup",t.appendChild(e.options),t},optgroup_header:(e,t)=>'<div class="optgroup-header">'+t(e[i])+"</div>",option:(e,i)=>"<div>"+i(e[t])+"</div>",item:(e,i)=>"<div>"+i(e[t])+"</div>",option_create:(e,t)=>'<div class="create">Add <strong>'+t(e.input)+"</strong>…</div>",no_results:()=>'<div class="no-results">No results found</div>',loading:()=>'<div class="spinner"></div>',not_loading:()=>{},dropdown:()=>"<div></div>"}
|
||||
e.settings.render=Object.assign({},s,e.settings.render)}setupCallbacks(){var e,t,i={initialize:"onInitialize",change:"onChange",item_add:"onItemAdd",item_remove:"onItemRemove",item_select:"onItemSelect",clear:"onClear",option_add:"onOptionAdd",option_remove:"onOptionRemove",option_clear:"onOptionClear",optgroup_add:"onOptionGroupAdd",optgroup_remove:"onOptionGroupRemove",optgroup_clear:"onOptionGroupClear",dropdown_open:"onDropdownOpen",dropdown_close:"onDropdownClose",type:"onType",load:"onLoad",focus:"onFocus",blur:"onBlur"}
|
||||
for(e in i)(t=this.settings[i[e]])&&this.on(e,t)}sync(e=!0){const t=this,i=e?U(t.input,{delimiter:t.settings.delimiter}):t.settings
|
||||
t.setupOptions(i.options,i.optgroups),t.setValue(i.items,!0),t.lastQuery=null}onClick(){var e=this
|
||||
if(e.activeItems.length>0)return e.clearActiveItems(),void e.focus()
|
||||
e.isFocused&&e.isOpen?e.blur():e.focus()}onMouseDown(){}onChange(){_(this.input,"input"),_(this.input,"change")}onPaste(e){var t=this
|
||||
t.isFull()||t.isInputHidden||t.isLocked?H(e):t.settings.splitOn&&setTimeout((()=>{var e=t.inputValue()
|
||||
if(e.match(t.settings.splitOn)){var i=e.trim().split(t.settings.splitOn)
|
||||
y(i,(e=>{t.createItem(e)}))}}),0)}onKeyPress(e){var t=this
|
||||
if(!t.isLocked){var i=String.fromCharCode(e.keyCode||e.which)
|
||||
return t.settings.create&&"multi"===t.settings.mode&&i===t.settings.delimiter?(t.createItem(),void H(e)):void 0}H(e)}onKeyDown(e){var t=this
|
||||
if(t.isLocked)9!==e.keyCode&&H(e)
|
||||
else{switch(e.keyCode){case 65:if(K(V,e))return H(e),void t.selectAll()
|
||||
break
|
||||
case 27:return t.isOpen&&(H(e,!0),t.close()),void t.clearActiveItems()
|
||||
case 40:if(!t.isOpen&&t.hasOptions)t.open()
|
||||
else if(t.activeOption){let e=t.getAdjacent(t.activeOption,1)
|
||||
e&&t.setActiveOption(e)}return void H(e)
|
||||
case 38:if(t.activeOption){let e=t.getAdjacent(t.activeOption,-1)
|
||||
e&&t.setActiveOption(e)}return void H(e)
|
||||
case 13:return void(t.isOpen&&t.activeOption?(t.onOptionSelect(e,t.activeOption),H(e)):t.settings.create&&t.createItem()&&H(e))
|
||||
case 37:return void t.advanceSelection(-1,e)
|
||||
case 39:return void t.advanceSelection(1,e)
|
||||
case 9:return void(t.settings.selectOnTab&&(t.isOpen&&t.activeOption&&(t.onOptionSelect(e,t.activeOption),H(e)),t.settings.create&&t.createItem()&&H(e)))
|
||||
case 8:case 46:return void t.deleteSelection(e)}t.isInputHidden&&!K(V,e)&&H(e)}}onInput(e){var t=this
|
||||
if(!t.isLocked){var i=t.inputValue()
|
||||
t.lastValue!==i&&(t.lastValue=i,t.settings.shouldLoad.call(t,i)&&t.load(i),t.refreshOptions(),t.trigger("type",i))}}onFocus(e){var t=this,i=t.isFocused
|
||||
if(t.isDisabled)return t.blur(),void H(e)
|
||||
t.ignoreFocus||(t.isFocused=!0,"focus"===t.settings.preload&&t.preload(),i||t.trigger("focus"),t.activeItems.length||(t.showInput(),t.refreshOptions(!!t.settings.openOnFocus)),t.refreshState())}onBlur(e){if(!1!==document.hasFocus()){var t=this
|
||||
if(t.isFocused){t.isFocused=!1,t.ignoreFocus=!1
|
||||
var i=()=>{t.close(),t.setActiveItem(),t.setCaret(t.items.length),t.trigger("blur")}
|
||||
t.settings.create&&t.settings.createOnBlur?t.createItem(null,!1,i):i()}}}onOptionSelect(e,t){var i,s=this
|
||||
t&&(t.parentElement&&t.parentElement.matches("[data-disabled]")||(t.classList.contains("create")?s.createItem(null,!0,(()=>{s.settings.closeAfterSelect&&s.close()})):void 0!==(i=t.dataset.value)&&(s.lastQuery=null,s.addItem(i),s.settings.closeAfterSelect&&s.close(),!s.settings.hideSelected&&e.type&&/click/.test(e.type)&&s.setActiveOption(t))))}onItemSelect(e,t){var i=this
|
||||
return!i.isLocked&&"multi"===i.settings.mode&&(H(e),i.setActiveItem(t,e),!0)}canLoad(e){return!!this.settings.load&&!this.loadedSearches.hasOwnProperty(e)}load(e){const t=this
|
||||
if(!t.canLoad(e))return
|
||||
C(t.wrapper,t.settings.loadingClass),t.loading++
|
||||
const i=t.loadCallback.bind(t)
|
||||
t.settings.load.call(t,e,i)}loadCallback(e,t){const i=this
|
||||
i.loading=Math.max(i.loading-1,0),i.lastQuery=null,i.clearActiveOption(),i.setupOptions(e,t),i.refreshOptions(i.isFocused&&!i.isInputHidden),i.loading||S(i.wrapper,i.settings.loadingClass),i.trigger("load",e,t)}preload(){var e=this.wrapper.classList
|
||||
e.contains("preloaded")||(e.add("preloaded"),this.load(""))}setTextboxValue(e=""){var t=this.control_input
|
||||
t.value!==e&&(t.value=e,_(t,"update"),this.lastValue=e)}getValue(){return this.is_select_tag&&this.input.hasAttribute("multiple")?this.items:this.items.join(this.settings.delimiter)}setValue(e,t){R(this,t?[]:["change"],(()=>{this.clear(t),this.addItems(e,t)}))}setMaxItems(e){0===e&&(e=null),this.settings.maxItems=e,this.refreshState()}setActiveItem(e,t){var i,s,n,o,r,l,a=this
|
||||
if("single"!==a.settings.mode){if(!e)return a.clearActiveItems(),void(a.isFocused&&a.showInput())
|
||||
if("click"===(i=t&&t.type.toLowerCase())&&K("shiftKey",t)&&a.activeItems.length){for(l=a.getLastActive(),(n=Array.prototype.indexOf.call(a.control.children,l))>(o=Array.prototype.indexOf.call(a.control.children,e))&&(r=n,n=o,o=r),s=n;s<=o;s++)e=a.control.children[s],-1===a.activeItems.indexOf(e)&&a.setActiveItemClass(e)
|
||||
H(t)}else"click"===i&&K(V,t)||"keydown"===i&&K("shiftKey",t)?e.classList.contains("active")?a.removeActiveItem(e):a.setActiveItemClass(e):(a.clearActiveItems(),a.setActiveItemClass(e))
|
||||
a.hideInput(),a.isFocused||a.focus()}}setActiveItemClass(e){const t=this,i=t.control.querySelector(".last-active")
|
||||
i&&S(i,"last-active"),C(e,"active last-active"),t.trigger("item_select",e),-1==t.activeItems.indexOf(e)&&t.activeItems.push(e)}removeActiveItem(e){var t=this.activeItems.indexOf(e)
|
||||
this.activeItems.splice(t,1),S(e,"active")}clearActiveItems(){S(this.activeItems,"active"),this.activeItems=[]}setActiveOption(e){e!==this.activeOption&&(this.clearActiveOption(),e&&(this.activeOption=e,P(this.focus_node,{"aria-activedescendant":e.getAttribute("id")}),P(e,{"aria-selected":"true"}),C(e,"active"),this.scrollToOption(e)))}scrollToOption(e,t){if(!e)return
|
||||
const i=this.dropdown_content,s=i.clientHeight,n=i.scrollTop||0,o=e.offsetHeight,r=e.getBoundingClientRect().top-i.getBoundingClientRect().top+n
|
||||
r+o>s+n?this.scroll(r-s+o,t):r<n&&this.scroll(r,t)}scroll(e,t){const i=this.dropdown_content
|
||||
t&&(i.style.scrollBehavior=t),i.scrollTop=e,i.style.scrollBehavior=""}clearActiveOption(){this.activeOption&&(S(this.activeOption,"active"),P(this.activeOption,{"aria-selected":null})),this.activeOption=null,P(this.focus_node,{"aria-activedescendant":null})}selectAll(){if("single"===this.settings.mode)return
|
||||
const e=this.controlChildren()
|
||||
e.length&&(this.hideInput(),this.close(),this.activeItems=e,C(e,"active"))}inputState(){var e=this
|
||||
e.control.contains(e.control_input)&&(P(e.control_input,{placeholder:e.settings.placeholder}),e.activeItems.length>0||!e.isFocused&&e.settings.hidePlaceholder&&e.items.length>0?(e.setTextboxValue(),e.isInputHidden=!0):(e.settings.hidePlaceholder&&e.items.length>0&&P(e.control_input,{placeholder:""}),e.isInputHidden=!1),e.wrapper.classList.toggle("input-hidden",e.isInputHidden))}hideInput(){this.inputState()}showInput(){this.inputState()}inputValue(){return this.control_input.value.trim()}focus(){var e=this
|
||||
e.isDisabled||(e.ignoreFocus=!0,e.control_input.offsetWidth?e.control_input.focus():e.focus_node.focus(),setTimeout((()=>{e.ignoreFocus=!1,e.onFocus()}),0))}blur(){this.focus_node.blur(),this.onBlur()}getScoreFunction(e){return this.sifter.getScoreFunction(e,this.getSearchOptions())}getSearchOptions(){var e=this.settings,t=e.sortField
|
||||
return"string"==typeof e.sortField&&(t=[{field:e.sortField}]),{fields:e.searchField,conjunction:e.searchConjunction,sort:t,nesting:e.nesting}}search(e){var t,i,s,n=this,o=this.getSearchOptions()
|
||||
if(n.settings.score&&"function"!=typeof(s=n.settings.score.call(n,e)))throw new Error('Tom Select "score" setting must be a function that returns a function')
|
||||
if(e!==n.lastQuery?(n.lastQuery=e,i=n.sifter.search(e,Object.assign(o,{score:s})),n.currentResults=i):i=Object.assign({},n.currentResults),n.settings.hideSelected)for(t=i.items.length-1;t>=0;t--){let e=q(i.items[t].id)
|
||||
e&&-1!==n.items.indexOf(e)&&i.items.splice(t,1)}return i}refreshOptions(e=!0){var t,i,s,n,o,r,l,a,c,d,p
|
||||
const u={},h=[]
|
||||
var g,f=this,v=f.inputValue(),m=f.search(v),O=f.activeOption,b=f.settings.shouldOpen||!1,w=f.dropdown_content
|
||||
for(O&&(c=O.dataset.value,d=O.closest("[data-group]")),n=m.items.length,"number"==typeof f.settings.maxOptions&&(n=Math.min(n,f.settings.maxOptions)),n>0&&(b=!0),t=0;t<n;t++){let e=m.items[t].id,n=f.options[e],l=f.getOption(e,!0)
|
||||
for(f.settings.hideSelected||l.classList.toggle("selected",f.items.includes(e)),o=n[f.settings.optgroupField]||"",i=0,s=(r=Array.isArray(o)?o:[o])&&r.length;i<s;i++)o=r[i],f.optgroups.hasOwnProperty(o)||(o=""),u.hasOwnProperty(o)||(u[o]=document.createDocumentFragment(),h.push(o)),i>0&&(l=l.cloneNode(!0),P(l,{id:n.$id+"-clone-"+i,"aria-selected":null}),l.classList.add("ts-cloned"),S(l,"active")),c==e&&d&&d.dataset.group===o&&(O=l),u[o].appendChild(l)}this.settings.lockOptgroupOrder&&h.sort(((e,t)=>(f.optgroups[e]&&f.optgroups[e].$order||0)-(f.optgroups[t]&&f.optgroups[t].$order||0))),l=document.createDocumentFragment(),y(h,(e=>{if(f.optgroups.hasOwnProperty(e)&&u[e].children.length){let t=document.createDocumentFragment(),i=f.render("optgroup_header",f.optgroups[e])
|
||||
G(t,i),G(t,u[e])
|
||||
let s=f.render("optgroup",{group:f.optgroups[e],options:t})
|
||||
G(l,s)}else G(l,u[e])})),w.innerHTML="",G(w,l),f.settings.highlight&&(g=w.querySelectorAll("span.highlight"),Array.prototype.forEach.call(g,(function(e){var t=e.parentNode
|
||||
t.replaceChild(e.firstChild,e),t.normalize()})),m.query.length&&m.tokens.length&&y(m.tokens,(e=>{T(w,e.regex)})))
|
||||
var _=e=>{let t=f.render(e,{input:v})
|
||||
return t&&(b=!0,w.insertBefore(t,w.firstChild)),t}
|
||||
if(f.loading?_("loading"):f.settings.shouldLoad.call(f,v)?0===m.items.length&&_("no_results"):_("not_loading"),(a=f.canCreate(v))&&(p=_("option_create")),f.hasOptions=m.items.length>0||a,b){if(m.items.length>0){if(!w.contains(O)&&"single"===f.settings.mode&&f.items.length&&(O=f.getOption(f.items[0])),!w.contains(O)){let e=0
|
||||
p&&!f.settings.addPrecedence&&(e=1),O=f.selectable()[e]}}else p&&(O=p)
|
||||
e&&!f.isOpen&&(f.open(),f.scrollToOption(O,"auto")),f.setActiveOption(O)}else f.clearActiveOption(),e&&f.isOpen&&f.close(!1)}selectable(){return this.dropdown_content.querySelectorAll("[data-selectable]")}addOption(e,t=!1){const i=this
|
||||
if(Array.isArray(e))return i.addOptions(e,t),!1
|
||||
const s=q(e[i.settings.valueField])
|
||||
return null!==s&&!i.options.hasOwnProperty(s)&&(e.$order=e.$order||++i.order,e.$id=i.inputId+"-opt-"+e.$order,i.options[s]=e,i.lastQuery=null,t&&(i.userOptions[s]=t,i.trigger("option_add",s,e)),s)}addOptions(e,t=!1){y(e,(e=>{this.addOption(e,t)}))}registerOption(e){return this.addOption(e)}registerOptionGroup(e){var t=q(e[this.settings.optgroupValueField])
|
||||
return null!==t&&(e.$order=e.$order||++this.order,this.optgroups[t]=e,t)}addOptionGroup(e,t){var i
|
||||
t[this.settings.optgroupValueField]=e,(i=this.registerOptionGroup(t))&&this.trigger("optgroup_add",i,t)}removeOptionGroup(e){this.optgroups.hasOwnProperty(e)&&(delete this.optgroups[e],this.clearCache(),this.trigger("optgroup_remove",e))}clearOptionGroups(){this.optgroups={},this.clearCache(),this.trigger("optgroup_clear")}updateOption(e,t){const i=this
|
||||
var s,n
|
||||
const o=q(e),r=q(t[i.settings.valueField])
|
||||
if(null===o)return
|
||||
if(!i.options.hasOwnProperty(o))return
|
||||
if("string"!=typeof r)throw new Error("Value must be set in option data")
|
||||
const l=i.getOption(o),a=i.getItem(o)
|
||||
if(t.$order=t.$order||i.options[o].$order,delete i.options[o],i.uncacheValue(r),i.options[r]=t,l){if(i.dropdown_content.contains(l)){const e=i._render("option",t)
|
||||
E(l,e),i.activeOption===l&&i.setActiveOption(e)}l.remove()}a&&(-1!==(n=i.items.indexOf(o))&&i.items.splice(n,1,r),s=i._render("item",t),a.classList.contains("active")&&C(s,"active"),E(a,s)),i.lastQuery=null}removeOption(e,t){const i=this
|
||||
e=D(e),i.uncacheValue(e),delete i.userOptions[e],delete i.options[e],i.lastQuery=null,i.trigger("option_remove",e),i.removeItem(e,t)}clearOptions(){this.loadedSearches={},this.userOptions={},this.clearCache()
|
||||
var e={}
|
||||
y(this.options,((t,i)=>{this.items.indexOf(i)>=0&&(e[i]=this.options[i])})),this.options=this.sifter.items=e,this.lastQuery=null,this.trigger("option_clear")}getOption(e,t=!1){const i=q(e)
|
||||
if(null!==i&&this.options.hasOwnProperty(i)){const e=this.options[i]
|
||||
if(e.$div)return e.$div
|
||||
if(t)return this._render("option",e)}return null}getAdjacent(e,t,i="option"){var s
|
||||
if(!e)return null
|
||||
s="item"==i?this.controlChildren():this.dropdown_content.querySelectorAll("[data-selectable]")
|
||||
for(let i=0;i<s.length;i++)if(s[i]==e)return t>0?s[i+1]:s[i-1]
|
||||
return null}getItem(e){if("object"==typeof e)return e
|
||||
var t=q(e)
|
||||
return null!==t?this.control.querySelector(`[data-value="${Q(t)}"]`):null}addItems(e,t){var i=this,s=Array.isArray(e)?e:[e]
|
||||
for(let e=0,n=(s=s.filter((e=>-1===i.items.indexOf(e)))).length;e<n;e++)i.isPending=e<n-1,i.addItem(s[e],t)}addItem(e,t){R(this,t?[]:["change"],(()=>{var i,s
|
||||
const n=this,o=n.settings.mode,r=q(e)
|
||||
if((!r||-1===n.items.indexOf(r)||("single"===o&&n.close(),"single"!==o&&n.settings.duplicates))&&null!==r&&n.options.hasOwnProperty(r)&&("single"===o&&n.clear(t),"multi"!==o||!n.isFull())){if(i=n._render("item",n.options[r]),n.control.contains(i)&&(i=i.cloneNode(!0)),s=n.isFull(),n.items.splice(n.caretPos,0,r),n.insertAtCaret(i),n.isSetup){if(!n.isPending&&n.settings.hideSelected){let e=n.getOption(r),t=n.getAdjacent(e,1)
|
||||
t&&n.setActiveOption(t)}n.isPending||n.refreshOptions(n.isFocused&&"single"!==o),0!=n.settings.closeAfterSelect&&n.isFull()?n.close():n.isPending||n.positionDropdown(),n.trigger("item_add",r,i),n.isPending||n.updateOriginalInput({silent:t})}(!n.isPending||!s&&n.isFull())&&(n.inputState(),n.refreshState())}}))}removeItem(e=null,t){const i=this
|
||||
if(!(e=i.getItem(e)))return
|
||||
var s,n
|
||||
const o=e.dataset.value
|
||||
s=L(e),e.remove(),e.classList.contains("active")&&(n=i.activeItems.indexOf(e),i.activeItems.splice(n,1),S(e,"active")),i.items.splice(s,1),i.lastQuery=null,!i.settings.persist&&i.userOptions.hasOwnProperty(o)&&i.removeOption(o,t),s<i.caretPos&&i.setCaret(i.caretPos-1),i.updateOriginalInput({silent:t}),i.refreshState(),i.positionDropdown(),i.trigger("item_remove",o,e)}createItem(e=null,t=!0,i=(()=>{})){var s,n=this,o=n.caretPos
|
||||
if(e=e||n.inputValue(),!n.canCreate(e))return i(),!1
|
||||
n.lock()
|
||||
var r=!1,l=e=>{if(n.unlock(),!e||"object"!=typeof e)return i()
|
||||
var s=q(e[n.settings.valueField])
|
||||
if("string"!=typeof s)return i()
|
||||
n.setTextboxValue(),n.addOption(e,!0),n.setCaret(o),n.addItem(s),n.refreshOptions(t&&"single"!==n.settings.mode),i(e),r=!0}
|
||||
return s="function"==typeof n.settings.create?n.settings.create.call(this,e,l):{[n.settings.labelField]:e,[n.settings.valueField]:e},r||l(s),!0}refreshItems(){var e=this
|
||||
e.lastQuery=null,e.isSetup&&e.addItems(e.items),e.updateOriginalInput(),e.refreshState()}refreshState(){const e=this
|
||||
e.refreshValidityState()
|
||||
const t=e.isFull(),i=e.isLocked
|
||||
e.wrapper.classList.toggle("rtl",e.rtl)
|
||||
const s=e.wrapper.classList
|
||||
var n
|
||||
s.toggle("focus",e.isFocused),s.toggle("disabled",e.isDisabled),s.toggle("required",e.isRequired),s.toggle("invalid",!e.isValid),s.toggle("locked",i),s.toggle("full",t),s.toggle("input-active",e.isFocused&&!e.isInputHidden),s.toggle("dropdown-active",e.isOpen),s.toggle("has-options",(n=e.options,0===Object.keys(n).length)),s.toggle("has-items",e.items.length>0)}refreshValidityState(){var e=this
|
||||
e.input.checkValidity&&(e.isValid=e.input.checkValidity(),e.isInvalid=!e.isValid)}isFull(){return null!==this.settings.maxItems&&this.items.length>=this.settings.maxItems}updateOriginalInput(e={}){const t=this
|
||||
var i,s
|
||||
const n=t.input.querySelector('option[value=""]')
|
||||
if(t.is_select_tag){const e=[]
|
||||
function o(i,s,o){return i||(i=w('<option value="'+N(s)+'">'+N(o)+"</option>")),i!=n&&t.input.append(i),e.push(i),i.selected=!0,i}t.input.querySelectorAll("option:checked").forEach((e=>{e.selected=!1})),0==t.items.length&&"single"==t.settings.mode?o(n,"",""):t.items.forEach((n=>{if(i=t.options[n],s=i[t.settings.labelField]||"",e.includes(i.$option)){o(t.input.querySelector(`option[value="${Q(n)}"]:not(:checked)`),n,s)}else i.$option=o(i.$option,n,s)}))}else t.input.value=t.getValue()
|
||||
t.isSetup&&(e.silent||t.trigger("change",t.getValue()))}open(){var e=this
|
||||
e.isLocked||e.isOpen||"multi"===e.settings.mode&&e.isFull()||(e.isOpen=!0,P(e.focus_node,{"aria-expanded":"true"}),e.refreshState(),I(e.dropdown,{visibility:"hidden",display:"block"}),e.positionDropdown(),I(e.dropdown,{visibility:"visible",display:"block"}),e.focus(),e.trigger("dropdown_open",e.dropdown))}close(e=!0){var t=this,i=t.isOpen
|
||||
e&&(t.setTextboxValue(),"single"===t.settings.mode&&t.items.length&&t.hideInput()),t.isOpen=!1,P(t.focus_node,{"aria-expanded":"false"}),I(t.dropdown,{display:"none"}),t.settings.hideSelected&&t.clearActiveOption(),t.refreshState(),i&&t.trigger("dropdown_close",t.dropdown)}positionDropdown(){if("body"===this.settings.dropdownParent){var e=this.control,t=e.getBoundingClientRect(),i=e.offsetHeight+t.top+window.scrollY,s=t.left+window.scrollX
|
||||
I(this.dropdown,{width:t.width+"px",top:i+"px",left:s+"px"})}}clear(e){var t=this
|
||||
if(t.items.length){var i=t.controlChildren()
|
||||
y(i,(e=>{t.removeItem(e,!0)})),t.showInput(),e||t.updateOriginalInput(),t.trigger("clear")}}insertAtCaret(e){const t=this,i=t.caretPos,s=t.control
|
||||
s.insertBefore(e,s.children[i]),t.setCaret(i+1)}deleteSelection(e){var t,i,s,n,o,r=this
|
||||
t=e&&8===e.keyCode?-1:1,i={start:(o=r.control_input).selectionStart||0,length:(o.selectionEnd||0)-(o.selectionStart||0)}
|
||||
const l=[]
|
||||
if(r.activeItems.length)n=F(r.activeItems,t),s=L(n),t>0&&s++,y(r.activeItems,(e=>l.push(e)))
|
||||
else if((r.isFocused||"single"===r.settings.mode)&&r.items.length){const e=r.controlChildren()
|
||||
t<0&&0===i.start&&0===i.length?l.push(e[r.caretPos-1]):t>0&&i.start===r.inputValue().length&&l.push(e[r.caretPos])}const a=l.map((e=>e.dataset.value))
|
||||
if(!a.length||"function"==typeof r.settings.onDelete&&!1===r.settings.onDelete.call(r,a,e))return!1
|
||||
for(H(e,!0),void 0!==s&&r.setCaret(s);l.length;)r.removeItem(l.pop())
|
||||
return r.showInput(),r.positionDropdown(),r.refreshOptions(!1),!0}advanceSelection(e,t){var i,s,n=this
|
||||
n.rtl&&(e*=-1),n.inputValue().length||(K(V,t)||K("shiftKey",t)?(s=(i=n.getLastActive(e))?i.classList.contains("active")?n.getAdjacent(i,e,"item"):i:e>0?n.control_input.nextElementSibling:n.control_input.previousElementSibling)&&(s.classList.contains("active")&&n.removeActiveItem(i),n.setActiveItemClass(s)):n.moveCaret(e))}moveCaret(e){}getLastActive(e){let t=this.control.querySelector(".last-active")
|
||||
if(t)return t
|
||||
var i=this.control.querySelectorAll(".active")
|
||||
return i?F(i,e):void 0}setCaret(e){this.caretPos=this.items.length}controlChildren(){return Array.from(this.control.querySelectorAll("[data-ts-item]"))}lock(){this.close(),this.isLocked=!0,this.refreshState()}unlock(){this.isLocked=!1,this.refreshState()}disable(){var e=this
|
||||
e.input.disabled=!0,e.control_input.disabled=!0,e.focus_node.tabIndex=-1,e.isDisabled=!0,e.lock()}enable(){var e=this
|
||||
e.input.disabled=!1,e.control_input.disabled=!1,e.focus_node.tabIndex=e.tabIndex,e.isDisabled=!1,e.unlock()}destroy(){var e=this,t=e.revertSettings
|
||||
e.trigger("destroy"),e.off(),e.wrapper.remove(),e.dropdown.remove(),e.input.innerHTML=t.innerHTML,e.input.tabIndex=t.tabIndex,S(e.input,"tomselected","ts-hidden-accessible"),e._destroy(),delete e.input.tomselect}render(e,t){return"function"!=typeof this.settings.render[e]?null:this._render(e,t)}_render(e,t){var i,s,n=""
|
||||
const o=this
|
||||
return"option"!==e&&"item"!=e||(n=D(t[o.settings.valueField])),null==(s=o.settings.render[e].call(this,t,N))||(s=w(s),"option"===e||"option_create"===e?t[o.settings.disabledField]?P(s,{"aria-disabled":"true"}):P(s,{"data-selectable":""}):"optgroup"===e&&(i=t.group[o.settings.optgroupValueField],P(s,{"data-group":i}),t.group[o.settings.disabledField]&&P(s,{"data-disabled":""})),"option"!==e&&"item"!==e||(P(s,{"data-value":n}),"item"===e?(C(s,o.settings.itemClass),P(s,{"data-ts-item":""})):(C(s,o.settings.optionClass),P(s,{role:"option",id:t.$id}),o.options[n].$div=s))),s}clearCache(){y(this.options,((e,t)=>{e.$div&&(e.$div.remove(),delete e.$div)}))}uncacheValue(e){const t=this.getOption(e)
|
||||
t&&t.remove()}canCreate(e){return this.settings.create&&e.length>0&&this.settings.createFilter.call(this,e)}hook(e,t,i){var s=this,n=s[t]
|
||||
s[t]=function(){var t,o
|
||||
return"after"===e&&(t=n.apply(s,arguments)),o=i.apply(s,arguments),"instead"===e?o:("before"===e&&(t=n.apply(s,arguments)),t)}}}return J.define("change_listener",(function(){B(this.input,"change",(()=>{this.sync()}))})),J.define("checkbox_options",(function(){var e=this,t=e.onOptionSelect
|
||||
e.settings.hideSelected=!1
|
||||
var i=function(e){setTimeout((()=>{var t=e.querySelector("input")
|
||||
e.classList.contains("selected")?t.checked=!0:t.checked=!1}),1)}
|
||||
e.hook("after","setupTemplates",(()=>{var t=e.settings.render.option
|
||||
e.settings.render.option=(i,s)=>{var n=w(t.call(e,i,s)),o=document.createElement("input")
|
||||
o.addEventListener("click",(function(e){H(e)})),o.type="checkbox"
|
||||
const r=q(i[e.settings.valueField])
|
||||
return r&&e.items.indexOf(r)>-1&&(o.checked=!0),n.prepend(o),n}})),e.on("item_remove",(t=>{var s=e.getOption(t)
|
||||
s&&(s.classList.remove("selected"),i(s))})),e.hook("instead","onOptionSelect",((s,n)=>{if(n.classList.contains("selected"))return n.classList.remove("selected"),e.removeItem(n.dataset.value),e.refreshOptions(),void H(s,!0)
|
||||
t.call(e,s,n),i(n)}))})),J.define("clear_button",(function(e){const t=this,i=Object.assign({className:"clear-button",title:"Clear All",html:e=>`<div class="${e.className}" title="${e.title}">×</div>`},e)
|
||||
t.on("initialize",(()=>{var e=w(i.html(i))
|
||||
e.addEventListener("click",(e=>{t.clear(),"single"===t.settings.mode&&t.settings.allowEmptyOption&&t.addItem(""),e.preventDefault(),e.stopPropagation()})),t.control.appendChild(e)}))})),J.define("drag_drop",(function(){var e=this
|
||||
if(!$.fn.sortable)throw new Error('The "drag_drop" plugin requires jQuery UI "sortable".')
|
||||
if("multi"===e.settings.mode){var t=e.lock,i=e.unlock
|
||||
e.hook("instead","lock",(()=>{var i=$(e.control).data("sortable")
|
||||
return i&&i.disable(),t.call(e)})),e.hook("instead","unlock",(()=>{var t=$(e.control).data("sortable")
|
||||
return t&&t.enable(),i.call(e)})),e.on("initialize",(()=>{var t=$(e.control).sortable({items:"[data-value]",forcePlaceholderSize:!0,disabled:e.isLocked,start:(e,i)=>{i.placeholder.css("width",i.helper.css("width")),t.css({overflow:"visible"})},stop:()=>{t.css({overflow:"hidden"})
|
||||
var i=[]
|
||||
t.children("[data-value]").each((function(){this.dataset.value&&i.push(this.dataset.value)})),e.setValue(i)}})}))}})),J.define("dropdown_header",(function(e){const t=this,i=Object.assign({title:"Untitled",headerClass:"dropdown-header",titleRowClass:"dropdown-header-title",labelClass:"dropdown-header-label",closeClass:"dropdown-header-close",html:e=>'<div class="'+e.headerClass+'"><div class="'+e.titleRowClass+'"><span class="'+e.labelClass+'">'+e.title+'</span><a class="'+e.closeClass+'">×</a></div></div>'},e)
|
||||
t.on("initialize",(()=>{var e=w(i.html(i)),s=e.querySelector("."+i.closeClass)
|
||||
s&&s.addEventListener("click",(e=>{H(e,!0),t.close()})),t.dropdown.insertBefore(e,t.dropdown.firstChild)}))})),J.define("caret_position",(function(){var e=this
|
||||
e.hook("instead","setCaret",(t=>{"single"!==e.settings.mode&&e.control.contains(e.control_input)?(t=Math.max(0,Math.min(e.items.length,t)))==e.caretPos||e.isPending||e.controlChildren().forEach(((i,s)=>{s<t?e.control_input.insertAdjacentElement("beforebegin",i):e.control.appendChild(i)})):t=e.items.length,e.caretPos=t})),e.hook("instead","moveCaret",(t=>{if(!e.isFocused)return
|
||||
const i=e.getLastActive(t)
|
||||
if(i){const s=L(i)
|
||||
e.setCaret(t>0?s+1:s),e.setActiveItem()}else e.setCaret(e.caretPos+t)}))})),J.define("dropdown_input",(function(){var e=this
|
||||
e.settings.shouldOpen=!0,e.hook("before","setup",(()=>{e.focus_node=e.control,C(e.control_input,"dropdown-input")
|
||||
const t=w('<div class="dropdown-input-wrap">')
|
||||
t.append(e.control_input),e.dropdown.insertBefore(t,e.dropdown.firstChild)})),e.on("initialize",(()=>{e.control_input.addEventListener("keydown",(t=>{switch(t.keyCode){case 27:return e.isOpen&&(H(t,!0),e.close()),void e.clearActiveItems()
|
||||
case 9:e.focus_node.tabIndex=-1}return e.onKeyDown.call(e,t)})),e.on("blur",(()=>{e.focus_node.tabIndex=e.isDisabled?-1:e.tabIndex})),e.on("dropdown_open",(()=>{e.control_input.focus()}))
|
||||
const t=e.onBlur
|
||||
e.hook("instead","onBlur",(i=>{if(!i||i.relatedTarget!=e.control_input)return t.call(e)})),B(e.control_input,"blur",(()=>e.onBlur())),e.hook("before","close",(()=>{e.isOpen&&e.focus_node.focus()}))}))})),J.define("input_autogrow",(function(){var e=this
|
||||
e.on("initialize",(()=>{var t=document.createElement("span"),i=e.control_input
|
||||
t.style.cssText="position:absolute; top:-99999px; left:-99999px; width:auto; padding:0; white-space:pre; ",e.wrapper.appendChild(t)
|
||||
for(const e of["letterSpacing","fontSize","fontFamily","fontWeight","textTransform"])t.style[e]=i.style[e]
|
||||
var s=()=>{e.items.length>0?(t.textContent=i.value,i.style.width=t.clientWidth+"px"):i.style.width=""}
|
||||
s(),e.on("update item_add item_remove",s),B(i,"input",s),B(i,"keyup",s),B(i,"blur",s),B(i,"update",s)}))})),J.define("no_backspace_delete",(function(){var e=this,t=e.deleteSelection
|
||||
this.hook("instead","deleteSelection",(i=>!!e.activeItems.length&&t.call(e,i)))})),J.define("no_active_items",(function(){this.hook("instead","setActiveItem",(()=>{})),this.hook("instead","selectAll",(()=>{}))})),J.define("optgroup_columns",(function(){var e=this,t=e.onKeyDown
|
||||
e.hook("instead","onKeyDown",(i=>{var s,n,o,r
|
||||
if(!e.isOpen||37!==i.keyCode&&39!==i.keyCode)return t.call(e,i)
|
||||
r=k(e.activeOption,"[data-group]"),s=L(e.activeOption,"[data-selectable]"),r&&(r=37===i.keyCode?r.previousSibling:r.nextSibling)&&(n=(o=r.querySelectorAll("[data-selectable]"))[Math.min(o.length-1,s)])&&e.setActiveOption(n)}))})),J.define("remove_button",(function(e){const t=Object.assign({label:"×",title:"Remove",className:"remove",append:!0},e)
|
||||
var i=this
|
||||
if(t.append){var s='<a href="javascript:void(0)" class="'+t.className+'" tabindex="-1" title="'+N(t.title)+'">'+t.label+"</a>"
|
||||
i.hook("after","setupTemplates",(()=>{var e=i.settings.render.item
|
||||
i.settings.render.item=(t,n)=>{var o=w(e.call(i,t,n)),r=w(s)
|
||||
return o.appendChild(r),B(r,"mousedown",(e=>{H(e,!0)})),B(r,"click",(e=>{if(H(e,!0),!i.isLocked){var t=o.dataset.value
|
||||
i.removeItem(t),i.refreshOptions(!1)}})),o}}))}})),J.define("restore_on_backspace",(function(e){const t=this,i=Object.assign({text:e=>e[t.settings.labelField]},e)
|
||||
t.on("item_remove",(function(e){if(""===t.control_input.value.trim()){var s=t.options[e]
|
||||
s&&t.setTextboxValue(i.text.call(t,s))}}))})),J.define("virtual_scroll",(function(){const e=this,t=e.canLoad,i=e.clearActiveOption,s=e.loadCallback
|
||||
var n,o={},r=!1
|
||||
if(!e.settings.firstUrl)throw"virtual_scroll plugin requires a firstUrl() method"
|
||||
function l(t){return!("number"==typeof e.settings.maxOptions&&n.children.length>=e.settings.maxOptions)&&!(!(t in o)||!o[t])}e.settings.sortField=[{field:"$order"},{field:"$score"}],e.setNextUrl=function(e,t){o[e]=t},e.getUrl=function(t){if(t in o){const e=o[t]
|
||||
return o[t]=!1,e}return o={},e.settings.firstUrl(t)},e.hook("instead","clearActiveOption",(()=>{if(!r)return i.call(e)})),e.hook("instead","canLoad",(i=>i in o?l(i):t.call(e,i))),e.hook("instead","loadCallback",((t,i)=>{r||e.clearOptions(),s.call(e,t,i),r=!1})),e.hook("after","refreshOptions",(()=>{const t=e.lastValue
|
||||
var i
|
||||
l(t)?(i=e.render("loading_more",{query:t}))&&i.setAttribute("data-selectable",""):t in o&&!n.querySelector(".no-results")&&(i=e.render("no_more_results",{query:t})),i&&(C(i,e.settings.optionClass),n.append(i))})),e.on("initialize",(()=>{n=e.dropdown_content,e.settings.render=Object.assign({},{loading_more:function(){return'<div class="loading-more-results">Loading more results ... </div>'},no_more_results:function(){return'<div class="no-more-results">No more results</div>'}},e.settings.render),n.addEventListener("scroll",(function(){n.clientHeight/(n.scrollHeight-n.scrollTop)<.95||l(e.lastValue)&&(r||(r=!0,e.load.call(e,e.lastValue)))}))}))})),J}))
|
||||
var tomSelect=function(e,t){return new TomSelect(e,t)}
|
||||
//# sourceMappingURL=tom-select.complete.min.js.map
|
||||
@@ -0,0 +1,334 @@
|
||||
/**
|
||||
* tom-select.css (v2.0.0-rc.4)
|
||||
* Copyright (c) contributors
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this
|
||||
* file except in compliance with the License. You may obtain a copy of the License at:
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software distributed under
|
||||
* the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
|
||||
* ANY KIND, either express or implied. See the License for the specific language
|
||||
* governing permissions and limitations under the License.
|
||||
*
|
||||
*/
|
||||
.ts-wrapper.plugin-drag_drop.multi > .ts-control > div.ui-sortable-placeholder {
|
||||
visibility: visible !important;
|
||||
background: #f2f2f2 !important;
|
||||
background: rgba(0, 0, 0, 0.06) !important;
|
||||
border: 0 none !important;
|
||||
box-shadow: inset 0 0 12px 4px #fff; }
|
||||
|
||||
.ts-wrapper.plugin-drag_drop .ui-sortable-placeholder::after {
|
||||
content: '!';
|
||||
visibility: hidden; }
|
||||
|
||||
.ts-wrapper.plugin-drag_drop .ui-sortable-helper {
|
||||
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2); }
|
||||
|
||||
.plugin-checkbox_options .option input {
|
||||
margin-right: 0.5rem; }
|
||||
|
||||
.plugin-clear_button .ts-control {
|
||||
padding-right: calc( 1em + (3 * 6px)) !important; }
|
||||
|
||||
.plugin-clear_button .clear-button {
|
||||
opacity: 0;
|
||||
position: absolute;
|
||||
top: 8px;
|
||||
right: calc(8px - 6px);
|
||||
margin-right: 0 !important;
|
||||
background: transparent !important;
|
||||
transition: opacity 0.5s;
|
||||
cursor: pointer; }
|
||||
|
||||
.plugin-clear_button.single .clear-button {
|
||||
right: calc(8px - 6px + 2rem); }
|
||||
|
||||
.plugin-clear_button.focus.has-items .clear-button,
|
||||
.plugin-clear_button:hover.has-items .clear-button {
|
||||
opacity: 1; }
|
||||
|
||||
.ts-wrapper .dropdown-header {
|
||||
position: relative;
|
||||
padding: 10px 8px;
|
||||
border-bottom: 1px solid #d0d0d0;
|
||||
background: #f8f8f8;
|
||||
border-radius: 3px 3px 0 0; }
|
||||
|
||||
.ts-wrapper .dropdown-header-close {
|
||||
position: absolute;
|
||||
right: 8px;
|
||||
top: 50%;
|
||||
color: #303030;
|
||||
opacity: 0.4;
|
||||
margin-top: -12px;
|
||||
line-height: 20px;
|
||||
font-size: 20px !important; }
|
||||
|
||||
.ts-wrapper .dropdown-header-close:hover {
|
||||
color: black; }
|
||||
|
||||
.plugin-dropdown_input.focus.dropdown-active .ts-control {
|
||||
box-shadow: none;
|
||||
border: 1px solid #d0d0d0; }
|
||||
|
||||
.plugin-dropdown_input .dropdown-input {
|
||||
border: 1px solid #d0d0d0;
|
||||
border-width: 0 0 1px 0;
|
||||
display: block;
|
||||
padding: 8px 8px;
|
||||
box-shadow: none;
|
||||
width: 100%;
|
||||
background: transparent; }
|
||||
|
||||
.ts-wrapper.plugin-input_autogrow.has-items .ts-control > input {
|
||||
min-width: 0; }
|
||||
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input {
|
||||
flex: none;
|
||||
min-width: 4px; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::-webkit-input-placeholder {
|
||||
color: transparent; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::-ms-input-placeholder {
|
||||
color: transparent; }
|
||||
.ts-wrapper.plugin-input_autogrow.has-items.focus .ts-control > input::placeholder {
|
||||
color: transparent; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .ts-dropdown-content {
|
||||
display: flex; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup {
|
||||
border-right: 1px solid #f2f2f2;
|
||||
border-top: 0 none;
|
||||
flex-grow: 1;
|
||||
flex-basis: 0;
|
||||
min-width: 0; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup:last-child {
|
||||
border-right: 0 none; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup:before {
|
||||
display: none; }
|
||||
|
||||
.ts-dropdown.plugin-optgroup_columns .optgroup-header {
|
||||
border-top: 0 none; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding-right: 0 !important; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item .remove {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
vertical-align: middle;
|
||||
display: inline-block;
|
||||
padding: 2px 6px;
|
||||
border-left: 1px solid #d0d0d0;
|
||||
border-radius: 0 2px 2px 0;
|
||||
box-sizing: border-box;
|
||||
margin-left: 6px; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item .remove:hover {
|
||||
background: rgba(0, 0, 0, 0.05); }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .item.active .remove {
|
||||
border-left-color: #cacaca; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button.disabled .item .remove:hover {
|
||||
background: none; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button.disabled .item .remove {
|
||||
border-left-color: white; }
|
||||
|
||||
.ts-wrapper.plugin-remove_button .remove-single {
|
||||
position: absolute;
|
||||
right: 0;
|
||||
top: 0;
|
||||
font-size: 23px; }
|
||||
|
||||
.ts-wrapper {
|
||||
position: relative; }
|
||||
|
||||
.ts-dropdown,
|
||||
.ts-control,
|
||||
.ts-control input {
|
||||
color: #303030;
|
||||
font-family: inherit;
|
||||
font-size: 13px;
|
||||
line-height: 18px;
|
||||
font-smoothing: inherit; }
|
||||
|
||||
.ts-control,
|
||||
.ts-wrapper.single.input-active .ts-control {
|
||||
background: #fff;
|
||||
cursor: text; }
|
||||
|
||||
.ts-control {
|
||||
border: 1px solid #d0d0d0;
|
||||
padding: 8px 8px;
|
||||
width: 100%;
|
||||
overflow: hidden;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
box-sizing: border-box;
|
||||
box-shadow: none;
|
||||
border-radius: 3px;
|
||||
display: flex;
|
||||
flex-wrap: wrap; }
|
||||
.ts-wrapper.multi.has-items .ts-control {
|
||||
padding: calc( 8px - 2px - 0) 8px calc( 8px - 2px - 3px - 0); }
|
||||
.full .ts-control {
|
||||
background-color: #fff; }
|
||||
.disabled .ts-control,
|
||||
.disabled .ts-control * {
|
||||
cursor: default !important; }
|
||||
.focus .ts-control {
|
||||
box-shadow: none; }
|
||||
.ts-control > * {
|
||||
vertical-align: baseline;
|
||||
display: inline-block; }
|
||||
.ts-wrapper.multi .ts-control > div {
|
||||
cursor: pointer;
|
||||
margin: 0 3px 3px 0;
|
||||
padding: 2px 6px;
|
||||
background: #f2f2f2;
|
||||
color: #303030;
|
||||
border: 0 solid #d0d0d0; }
|
||||
.ts-wrapper.multi .ts-control > div.active {
|
||||
background: #e8e8e8;
|
||||
color: #303030;
|
||||
border: 0 solid #cacaca; }
|
||||
.ts-wrapper.multi.disabled .ts-control > div, .ts-wrapper.multi.disabled .ts-control > div.active {
|
||||
color: #7d7c7c;
|
||||
background: white;
|
||||
border: 0 solid white; }
|
||||
.ts-control > input {
|
||||
flex: 1 1 auto;
|
||||
min-width: 7rem;
|
||||
display: inline-block !important;
|
||||
padding: 0 !important;
|
||||
min-height: 0 !important;
|
||||
max-height: none !important;
|
||||
max-width: 100% !important;
|
||||
margin: 0 !important;
|
||||
text-indent: 0 !important;
|
||||
border: 0 none !important;
|
||||
background: none !important;
|
||||
line-height: inherit !important;
|
||||
-webkit-user-select: auto !important;
|
||||
-moz-user-select: auto !important;
|
||||
-ms-user-select: auto !important;
|
||||
user-select: auto !important;
|
||||
box-shadow: none !important; }
|
||||
.ts-control > input::-ms-clear {
|
||||
display: none; }
|
||||
.ts-control > input:focus {
|
||||
outline: none !important; }
|
||||
.has-items .ts-control > input {
|
||||
margin: 0 4px !important; }
|
||||
.ts-control.rtl {
|
||||
text-align: right; }
|
||||
.ts-control.rtl.single .ts-control:after {
|
||||
left: 15px;
|
||||
right: auto; }
|
||||
.ts-control.rtl .ts-control > input {
|
||||
margin: 0 4px 0 -2px !important; }
|
||||
.disabled .ts-control {
|
||||
opacity: 0.5;
|
||||
background-color: #fafafa; }
|
||||
.input-hidden .ts-control > input {
|
||||
opacity: 0;
|
||||
position: absolute;
|
||||
left: -10000px; }
|
||||
|
||||
.ts-dropdown {
|
||||
position: absolute;
|
||||
top: 100%;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
z-index: 10;
|
||||
border: 1px solid #d0d0d0;
|
||||
background: #fff;
|
||||
margin: 0.25rem 0 0 0;
|
||||
border-top: 0 none;
|
||||
box-sizing: border-box;
|
||||
box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
|
||||
border-radius: 0 0 3px 3px; }
|
||||
.ts-dropdown [data-selectable] {
|
||||
cursor: pointer;
|
||||
overflow: hidden; }
|
||||
.ts-dropdown [data-selectable] .highlight {
|
||||
background: rgba(125, 168, 208, 0.2);
|
||||
border-radius: 1px; }
|
||||
.ts-dropdown .option,
|
||||
.ts-dropdown .optgroup-header,
|
||||
.ts-dropdown .no-results,
|
||||
.ts-dropdown .create {
|
||||
padding: 5px 8px; }
|
||||
.ts-dropdown .option, .ts-dropdown [data-disabled], .ts-dropdown [data-disabled] [data-selectable].option {
|
||||
cursor: inherit;
|
||||
opacity: 0.5; }
|
||||
.ts-dropdown [data-selectable].option {
|
||||
opacity: 1;
|
||||
cursor: pointer; }
|
||||
.ts-dropdown .optgroup:first-child .optgroup-header {
|
||||
border-top: 0 none; }
|
||||
.ts-dropdown .optgroup-header {
|
||||
color: #303030;
|
||||
background: #fff;
|
||||
cursor: default; }
|
||||
.ts-dropdown .create:hover,
|
||||
.ts-dropdown .option:hover,
|
||||
.ts-dropdown .active {
|
||||
background-color: #f5fafd;
|
||||
color: #495c68; }
|
||||
.ts-dropdown .create:hover.create,
|
||||
.ts-dropdown .option:hover.create,
|
||||
.ts-dropdown .active.create {
|
||||
color: #495c68; }
|
||||
.ts-dropdown .create {
|
||||
color: rgba(48, 48, 48, 0.5); }
|
||||
.ts-dropdown .spinner {
|
||||
display: inline-block;
|
||||
width: 30px;
|
||||
height: 30px;
|
||||
margin: 5px 8px; }
|
||||
.ts-dropdown .spinner:after {
|
||||
content: " ";
|
||||
display: block;
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
margin: 3px;
|
||||
border-radius: 50%;
|
||||
border: 5px solid #d0d0d0;
|
||||
border-color: #d0d0d0 transparent #d0d0d0 transparent;
|
||||
animation: lds-dual-ring 1.2s linear infinite; }
|
||||
|
||||
@keyframes lds-dual-ring {
|
||||
0% {
|
||||
transform: rotate(0deg); }
|
||||
100% {
|
||||
transform: rotate(360deg); } }
|
||||
|
||||
.ts-dropdown-content {
|
||||
overflow-y: auto;
|
||||
overflow-x: hidden;
|
||||
max-height: 200px;
|
||||
overflow-scrolling: touch;
|
||||
scroll-behavior: smooth; }
|
||||
|
||||
.ts-hidden-accessible {
|
||||
border: 0 !important;
|
||||
clip: rect(0 0 0 0) !important;
|
||||
-webkit-clip-path: inset(50%) !important;
|
||||
clip-path: inset(50%) !important;
|
||||
height: 1px !important;
|
||||
overflow: hidden !important;
|
||||
padding: 0 !important;
|
||||
position: absolute !important;
|
||||
width: 1px !important;
|
||||
white-space: nowrap !important; }
|
||||
|
||||
/*# sourceMappingURL=tom-select.css.map */
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
+18
-19
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
📊 企业风险概览页面
|
||||
企业风险概览页面
|
||||
选择企业 → 六维风险雷达图 + 关键指标卡片 + 详细财务数据
|
||||
"""
|
||||
import sys
|
||||
@@ -16,17 +16,17 @@ from risk_engine.risk_scorer import calculate_six_dimension_scores, get_risk_lev
|
||||
|
||||
from utils.session_helper import render_company_selector, render_sidebar_global_company_selector
|
||||
|
||||
st.set_page_config(page_title="企业风险概览", page_icon="📊", layout="wide")
|
||||
st.set_page_config(page_title="企业风险概览", layout="wide")
|
||||
|
||||
with st.sidebar:
|
||||
render_sidebar_global_company_selector()
|
||||
st.markdown("---")
|
||||
|
||||
st.markdown("# 📊 企业风险概览")
|
||||
st.markdown("# 企业风险概览")
|
||||
st.markdown("选择一家科创企业，查看其六维风险画像和关键指标。")
|
||||
|
||||
# 企业选择（全局同步）
|
||||
company = render_company_selector("🏢 选择目标企业", key_suffix="overview_page")
|
||||
company = render_company_selector("选择目标企业", key_suffix="overview_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
if company:
|
||||
@@ -47,10 +47,10 @@ if company:
|
||||
st.markdown(f"**简介**: {company['description']}")
|
||||
|
||||
# 核心人员
|
||||
st.markdown("#### 👤 核心技术人员")
|
||||
st.markdown("#### 核心技术人员")
|
||||
for p in company.get("core_tech_personnel", []):
|
||||
status_emoji = "✅" if "在职" in p["status"] else "⚠️"
|
||||
st.markdown(f"- {status_emoji} **{p['name']}** ({p['title']}) - 重要性: {p['importance']} - 状态: {p['status']}")
|
||||
status_tag = "[在职]" if "在职" in p["status"] else "[离职预警]"
|
||||
st.markdown(f"- {status_tag} **{p['name']}** ({p['title']}) - 重要性: {p['importance']} - 状态: {p['status']}")
|
||||
|
||||
with col2:
|
||||
# 综合风险仪表盘
|
||||
@@ -83,7 +83,7 @@ if company:
|
||||
)
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
st.markdown(f"<div style='text-align:center; font-size:1.2em;'>"
|
||||
f"{level_info['emoji']} 风险等级: <b>{level_info['level']}</b></div>",
|
||||
f"风险等级: <b>{level_info['level']}</b></div>",
|
||||
unsafe_allow_html=True)
|
||||
|
||||
st.markdown("---")
|
||||
@@ -94,7 +94,7 @@ if company:
|
||||
col_radar, col_detail = st.columns([1, 1])
|
||||
|
||||
with col_radar:
|
||||
st.markdown("#### 🎯 六维风险雷达图")
|
||||
st.markdown("#### 六维风险雷达图")
|
||||
|
||||
dim_names_cn = ["技术路线颠覆", "核心人员流失", "算法/数据合规",
|
||||
"地缘政治/出口管制", "研发资本化操纵", "客户/供应商集中"]
|
||||
@@ -137,18 +137,17 @@ if company:
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
|
||||
with col_detail:
|
||||
st.markdown("#### 📋 各维度风险详情")
|
||||
st.markdown("#### 各维度风险详情")
|
||||
for k in dim_keys:
|
||||
detail = risk_result["dimension_details"][k]
|
||||
score = detail["score"]
|
||||
level = detail["level"]
|
||||
emoji = level["emoji"]
|
||||
color = level["color"]
|
||||
|
||||
st.markdown(
|
||||
f"<div style='background:{color}22; padding:10px; border-radius:8px; "
|
||||
f"margin:5px 0; border-left:4px solid {color};'>"
|
||||
f"<b>{emoji} {detail['name']}</b>: {score}分 ({level['level']})</div>",
|
||||
f"<b>{detail['name']}</b>: {score}分 ({level['level']})</div>",
|
||||
unsafe_allow_html=True,
|
||||
)
|
||||
|
||||
@@ -157,7 +156,7 @@ if company:
|
||||
# ============================================================
|
||||
# 关键财务指标
|
||||
# ============================================================
|
||||
st.markdown("#### 💰 关键财务指标")
|
||||
st.markdown("#### 关键财务指标")
|
||||
fin = company.get("financials", {})
|
||||
|
||||
col_f1, col_f2, col_f3, col_f4 = st.columns(4)
|
||||
@@ -175,7 +174,7 @@ if company:
|
||||
with col_f4:
|
||||
cap_rate = fin.get("rd_capitalization_rate", 0)
|
||||
st.metric("研发资本化率", f"{cap_rate:.0%}",
|
||||
delta="⚠️ 偏高" if cap_rate > 0.3 else "正常",
|
||||
delta="偏高" if cap_rate > 0.3 else "正常",
|
||||
delta_color="inverse" if cap_rate > 0.3 else "normal")
|
||||
|
||||
col_f5, col_f6, col_f7, col_f8 = st.columns(4)
|
||||
@@ -195,25 +194,25 @@ if company:
|
||||
col_tech, col_comp = st.columns(2)
|
||||
|
||||
with col_tech:
|
||||
st.markdown("#### 🔬 技术路线")
|
||||
st.markdown("#### 技术路线")
|
||||
tech = company.get("tech_route", {})
|
||||
st.markdown(f"**当前技术**: {tech.get('current_tech', '未知')}")
|
||||
st.markdown(f"**技术壁垒**: {tech.get('tech_moat', '未知')}")
|
||||
st.markdown(f"**专利数量**: {tech.get('patent_count', 0)} 件")
|
||||
st.markdown("**竞争技术路线**:")
|
||||
for ct in tech.get("competing_techs", []):
|
||||
st.markdown(f" - ⚔️ {ct}")
|
||||
st.markdown(f" - • {ct}")
|
||||
|
||||
with col_comp:
|
||||
st.markdown("#### 📋 合规状态")
|
||||
st.markdown("#### 合规状态")
|
||||
comp_info = company.get("compliance", {})
|
||||
st.markdown(f"**算法备案**: {comp_info.get('algo_filing_status', '未知')}")
|
||||
st.markdown(f"**数据出境风险**: {comp_info.get('data_export_risk', '未知')}")
|
||||
|
||||
entity_status = comp_info.get("entity_list_status", "未知")
|
||||
if "被列入" in entity_status:
|
||||
st.error(f"⛔ 实体清单: {entity_status}")
|
||||
st.error(f"[实体清单受限] {entity_status}")
|
||||
if comp_info.get("sanctions_detail"):
|
||||
st.warning(f"制裁详情: {comp_info['sanctions_detail']}")
|
||||
else:
|
||||
st.success(f"✅ 实体清单: {entity_status}")
|
||||
st.success(f"[合规] {entity_status}")
|
||||
+34
-34
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🕸️ 供应链知识图谱页面
|
||||
供应链知识图谱页面
|
||||
交互式图谱展示 + 供应链风险传染路径 + 实体清单命中标记
|
||||
"""
|
||||
import sys
|
||||
@@ -18,9 +18,9 @@ from knowledge_graph.graph_visualizer import (
|
||||
get_subgraph_for_company,
|
||||
)
|
||||
|
||||
st.set_page_config(page_title="供应链知识图谱", page_icon="🕸️", layout="wide")
|
||||
st.set_page_config(page_title="供应链知识图谱", layout="wide")
|
||||
|
||||
st.markdown("# 🕸️ 供应链风险传染知识图谱")
|
||||
st.markdown("# 供应链风险传染知识图谱")
|
||||
st.markdown("可视化科创企业供应链网络，识别风险传染路径和关键断裂节点。")
|
||||
|
||||
# 构建图谱
|
||||
@@ -36,16 +36,16 @@ stats = get_graph_stats(G)
|
||||
# ============================================================
|
||||
col1, col2, col3, col4 = st.columns(4)
|
||||
with col1:
|
||||
st.metric("📌 总节点数", stats["total_nodes"])
|
||||
st.metric("总节点数", stats["total_nodes"])
|
||||
with col2:
|
||||
st.metric("🔗 总边数", stats["total_edges"])
|
||||
st.metric("总边数", stats["total_edges"])
|
||||
with col3:
|
||||
st.metric("⛔ 受制裁节点", stats["sanctioned_nodes"])
|
||||
st.metric("受制裁节点", stats["sanctioned_nodes"])
|
||||
with col4:
|
||||
st.metric("🔀 图密度", f"{stats['density']:.4f}")
|
||||
st.metric("图密度", f"{stats['density']:.4f}")
|
||||
|
||||
# 节点类型分布
|
||||
with st.expander("📊 节点类型分布"):
|
||||
with st.expander("节点类型分布"):
|
||||
for ntype, count in stats["node_types"].items():
|
||||
st.markdown(f"- **{ntype}**: {count} 个")
|
||||
|
||||
@@ -55,7 +55,7 @@ st.markdown("---")
|
||||
# 图谱视图选择
|
||||
# ============================================================
|
||||
view_mode = st.radio(
|
||||
"🔍 视图模式",
|
||||
"视图模式",
|
||||
["全局图谱", "企业中心视图（推荐）"],
|
||||
horizontal=True,
|
||||
)
|
||||
@@ -67,7 +67,7 @@ with st.sidebar:
|
||||
st.markdown("---")
|
||||
|
||||
if view_mode == "企业中心视图（推荐）":
|
||||
target_company = render_company_selector("🏢 选择中心企业", key_suffix="graph_page")
|
||||
target_company = render_company_selector("选择中心企业", key_suffix="graph_page")
|
||||
selected_company = target_company["short_name"] if target_company else "寒武纪"
|
||||
|
||||
depth = st.slider("穿透深度", 1, 3, 2)
|
||||
@@ -87,50 +87,50 @@ if view_mode == "企业中心视图（推荐）":
|
||||
# 供应链风险传染分析
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown(f"### ⚠️ {selected_company} 供应链风险传染分析")
|
||||
st.markdown(f"### {selected_company} 供应链风险传染分析")
|
||||
|
||||
contagion = analyze_contagion(G, selected_company)
|
||||
|
||||
# 风险评分
|
||||
supply_risk_score = contagion.get("risk_score", 0)
|
||||
if supply_risk_score >= 60:
|
||||
st.error(f"🔴 供应链风险评分: **{supply_risk_score}/100** — 供应链断裂风险极高")
|
||||
st.error(f"供应链风险评分: **{supply_risk_score}/100** — 供应链断裂风险极高")
|
||||
elif supply_risk_score >= 30:
|
||||
st.warning(f"🟡 供应链风险评分: **{supply_risk_score}/100** — 存在一定供应链风险")
|
||||
st.warning(f"供应链风险评分: **{supply_risk_score}/100** — 存在一定供应链风险")
|
||||
else:
|
||||
st.success(f"🟢 供应链风险评分: **{supply_risk_score}/100** — 供应链风险可控")
|
||||
st.success(f"供应链风险评分: **{supply_risk_score}/100** — 供应链风险可控")
|
||||
|
||||
# 直接风险
|
||||
if contagion.get("direct_risks"):
|
||||
st.markdown("#### 🔴 直接风险（一度关联）")
|
||||
st.markdown("#### 直接风险（一度关联）")
|
||||
for risk in contagion["direct_risks"]:
|
||||
icon = "⛔" if risk.get("status") == "受限" else "⚠️"
|
||||
status_tag = "[受限]" if risk.get("status") == "受限" else "[关注]"
|
||||
critical_tag = " [关键供应]" if risk.get("is_critical") else ""
|
||||
st.markdown(
|
||||
f"- {icon} **{risk['entity']}** ({risk['node_type']}) — "
|
||||
f"{risk['relation']} — 状态: {risk.get('status', '未知')} "
|
||||
f"{'🔑 关键供应' if risk.get('is_critical') else ''}"
|
||||
f"- {status_tag} **{risk['entity']}** ({risk['node_type']}) — "
|
||||
f"{risk['relation']} — 状态: {risk.get('status', '未知')}{critical_tag}"
|
||||
)
|
||||
|
||||
# 间接风险
|
||||
if contagion.get("indirect_risks"):
|
||||
st.markdown("#### 🟡 间接风险（二度及以上关联）")
|
||||
st.markdown("#### 间接风险（二度及以上关联）")
|
||||
for risk in contagion["indirect_risks"]:
|
||||
st.markdown(
|
||||
f"- ⚠️ **{risk['entity']}** (距离: {risk['distance']}层) — {risk['relation']}"
|
||||
f"- [间接传导] **{risk['entity']}** (距离: {risk['distance']}层) — {risk['relation']}"
|
||||
)
|
||||
|
||||
# 传染路径
|
||||
if contagion.get("contagion_paths"):
|
||||
st.markdown("#### 🔗 风险传染路径")
|
||||
st.markdown("#### 风险传染路径")
|
||||
for path in contagion["contagion_paths"]:
|
||||
severity_icon = "🔴" if path["severity"] == "高" else "🟡"
|
||||
st.markdown(f"- {severity_icon} `{path['path_str']}` (长度: {path['length']})")
|
||||
severity_tag = "[高风险]" if path["severity"] == "高" else "[中风险]"
|
||||
st.markdown(f"- {severity_tag} `{path['path_str']}` (长度: {path['length']})")
|
||||
|
||||
# 关键断裂节点
|
||||
if contagion.get("critical_nodes"):
|
||||
st.markdown("#### 🔑 关键断裂节点")
|
||||
st.markdown("#### 关键断裂节点")
|
||||
for node in contagion["critical_nodes"]:
|
||||
alt_info = f"✅ 有{node['alternative_count']}个替代" if node["has_alternative"] else "❌ 无替代方案"
|
||||
alt_info = f"有 {node['alternative_count']} 个替代方案" if node["has_alternative"] else "无替代方案"
|
||||
st.markdown(
|
||||
f"- **{node['node']}** — {node['relation']} — "
|
||||
f"状态: {node['status']} — {alt_info}"
|
||||
@@ -140,7 +140,7 @@ if view_mode == "企业中心视图（推荐）":
|
||||
|
||||
else:
|
||||
# 全局视图
|
||||
st.info("💡 全局图谱节点较多，加载可能需要几秒钟。推荐使用“企业中心视图”获得更好的体验。")
|
||||
st.info("全局图谱节点较多，加载可能需要几秒钟。推荐使用“企业中心视图”获得更好的体验。")
|
||||
html_content = generate_interactive_graph(G, height="650px")
|
||||
components.html(html_content, height=700, scrolling=True)
|
||||
|
||||
@@ -148,17 +148,17 @@ else:
|
||||
# 图例
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("#### 🎨 图例说明")
|
||||
st.markdown("#### 图例说明")
|
||||
col_l1, col_l2, col_l3 = st.columns(3)
|
||||
with col_l1:
|
||||
st.markdown("""
|
||||
**节点颜色**
|
||||
- 🟢 绿色: 科创企业 (正常)
|
||||
- 🟡 金色: 选中的中心企业
|
||||
- 🟠 橙色: 供应商
|
||||
- 🟣 紫色: 客户
|
||||
- 🔵 蓝色: 核心人员
|
||||
- 🔴 红色: 受制裁实体
|
||||
- 绿色: 科创企业 (正常)
|
||||
- 金色: 选中的中心企业
|
||||
- 橙色: 供应商
|
||||
- 紫色: 客户
|
||||
- 蓝色: 核心人员
|
||||
- 红色: 受制裁实体
|
||||
""")
|
||||
with col_l2:
|
||||
st.markdown("""
|
||||
+40
-41
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
⚖️ 多智能体辩论诊断页面 (Premium Financial-Grade Design)
|
||||
多智能体辩论诊断页面 (Premium Financial-Grade Design)
|
||||
选择企业 → 真实 Token 级打字机流式推演 → 三方交叉质证 → 综合裁决与核保看板
|
||||
使用 Glassmorphism 玻璃拟态 + 暗黑金融科技 CSS 调色盘
|
||||
"""
|
||||
@@ -15,7 +15,7 @@ import time
|
||||
from collectors.financial_collector import get_all_companies, get_company_by_code
|
||||
from agents.debate_engine import DebateEngine
|
||||
|
||||
st.set_page_config(page_title="多智能体辩论诊断", page_icon="⚖️", layout="wide")
|
||||
st.set_page_config(page_title="多智能体辩论诊断", layout="wide")
|
||||
|
||||
# ============================================================
|
||||
# 自定义 UI 视觉增强样式 (CSS 注入)
|
||||
@@ -111,7 +111,7 @@ st.markdown("""
|
||||
.pill-med { background: rgba(255, 152, 0, 0.2); color: #ffb74d; border: 1px solid rgba(255, 152, 0, 0.4); }
|
||||
.pill-low { background: rgba(76, 175, 80, 0.2); color: #81c784; border: 1px solid rgba(76, 175, 80, 0.4); }
|
||||
|
||||
/* 模拟黑客流式终端 (Terminal Box) */
|
||||
/* 终端样式 */
|
||||
.terminal-box {
|
||||
background: #0B0E14;
|
||||
border: 1px solid #1E293B;
|
||||
@@ -160,17 +160,16 @@ st.markdown("""
|
||||
st.markdown("""
|
||||
<div class="hero-banner">
|
||||
<div class="hero-title">
|
||||
<span>⚖️</span>
|
||||
<span>多智能体交叉验证辩论诊断</span>
|
||||
</div>
|
||||
<div class="hero-subtitle">
|
||||
基于 Multi-Agent 辩论图谱 · 法务 / 技术 / 财务专家分布式研判 · 全过程打字机流式追溯
|
||||
基于 Multi-Agent 辩论图谱 · 法务 / 技术 / 财务专家分布式研判 · 全过程流式追溯
|
||||
</div>
|
||||
<div class="step-badge-container">
|
||||
<span class="step-badge step-badge-active">Phase 1: 独立穿透研判</span>
|
||||
<span class="step-badge">Phase 2: 三方交叉质证</span>
|
||||
<span class="step-badge">Phase 3: 委员会综合裁决</span>
|
||||
<span class="step-badge">🛡️ 保险精算核保建议</span>
|
||||
<span class="step-badge">保险精算核保建议</span>
|
||||
</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
@@ -183,7 +182,7 @@ with st.sidebar:
|
||||
|
||||
col_ctrl1, col_ctrl2 = st.columns([3, 1])
|
||||
with col_ctrl1:
|
||||
company = render_company_selector("🏢 选择待诊断科创企业", key_suffix="debate_page")
|
||||
company = render_company_selector("选择待诊断科创企业", key_suffix="debate_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
# 初始化 session_state
|
||||
@@ -192,7 +191,7 @@ if "debate_results" not in st.session_state:
|
||||
|
||||
with col_ctrl2:
|
||||
st.markdown("<div style='height: 28px;'></div>", unsafe_allow_html=True)
|
||||
start_btn = st.button("🚀 启动多智能体辩论", type="primary", use_container_width=True)
|
||||
start_btn = st.button("启动多智能体辩论", type="primary", use_container_width=True)
|
||||
|
||||
# ============================================================
|
||||
# 辩论触发与打字机流式渲染
|
||||
@@ -207,16 +206,16 @@ if start_btn:
|
||||
company_name = company.get("short_name", "未知")
|
||||
|
||||
st.markdown("---")
|
||||
st.markdown("### 📡 智能体实时思考与流式推演控制台 (Live Streaming Terminal)")
|
||||
progress_bar = st.progress(0, text="▶️ 正在初始化分布式智能体网络...")
|
||||
st.markdown("### 智能体实时思考与流式推演控制台 (Live Streaming Terminal)")
|
||||
progress_bar = st.progress(0, text="正在初始化分布式智能体网络...")
|
||||
|
||||
# 动态渲染控制台
|
||||
live_box = st.container(border=True)
|
||||
|
||||
def run_agent_with_typewriter(agent, agent_title, start_progress, end_progress):
|
||||
progress_bar.progress(start_progress, text=f"{agent.role_icon} {agent_title} 正在穿透企业数据并与大模型通信...")
|
||||
progress_bar.progress(start_progress, text=f"{agent_title} 正在穿透企业数据并与大模型通信...")
|
||||
with live_box:
|
||||
st.markdown(f"##### {agent.role_icon} {agent_title}")
|
||||
st.markdown(f"##### {agent_title}")
|
||||
status_placeholder = st.empty()
|
||||
thinking_placeholder = st.empty()
|
||||
content_placeholder = st.empty()
|
||||
@@ -224,13 +223,13 @@ if start_btn:
|
||||
thinking_buf = []
|
||||
content_buf = []
|
||||
|
||||
status_placeholder.info("🔗 建立 SSE 流式通信中...")
|
||||
status_placeholder.info("建立 SSE 流式通信中...")
|
||||
|
||||
def on_token(token_type: str, token_text: str):
|
||||
if token_type == "reasoning":
|
||||
thinking_buf.append(token_text)
|
||||
t_str = "".join(thinking_buf)
|
||||
status_placeholder.markdown("🧠 **[大模型深度思考中...]**")
|
||||
status_placeholder.markdown("**[大模型深度思考中...]**")
|
||||
display_text = t_str[-350:] if len(t_str) > 350 else t_str
|
||||
thinking_placeholder.markdown(
|
||||
f"""<div class="terminal-box terminal-thinking">
|
||||
@@ -241,7 +240,7 @@ if start_btn:
|
||||
elif token_type == "content":
|
||||
content_buf.append(token_text)
|
||||
c_str = "".join(content_buf)
|
||||
status_placeholder.markdown("📝 **[正在实时生成审查报告...]**")
|
||||
status_placeholder.markdown("**[正在实时生成审查报告...]**")
|
||||
display_c = c_str[-280:] if len(c_str) > 280 else c_str
|
||||
content_placeholder.markdown(
|
||||
f"""<div class="terminal-box terminal-output">
|
||||
@@ -252,8 +251,8 @@ if start_btn:
|
||||
|
||||
agent.on_token_callback = on_token
|
||||
result = agent.evaluate(company if agent != engine.judge_agent else None)
|
||||
progress_bar.progress(end_progress, text=f"✅ {agent_title} 研判完毕")
|
||||
status_placeholder.success(f"✅ {agent_title} 完成风险评级")
|
||||
progress_bar.progress(end_progress, text=f"{agent_title} 研判完毕")
|
||||
status_placeholder.success(f"{agent_title} 完成风险评级")
|
||||
return result, list(agent.reasoning_trace)
|
||||
|
||||
# 1. 法务 Agent
|
||||
@@ -266,13 +265,13 @@ if start_btn:
|
||||
finance_result, finance_trace = run_agent_with_typewriter(engine.finance_agent, "财务风控节点", 60, 85)
|
||||
|
||||
# 4. 交叉质证
|
||||
progress_bar.progress(88, text="🔄 正在比对三方判定结论，进行交叉质证分析...")
|
||||
progress_bar.progress(88, text="正在比对三方判定结论，进行交叉质证分析...")
|
||||
conflicts = engine._identify_conflicts(law_result, tech_result, finance_result)
|
||||
|
||||
# 5. 综合裁决 Agent
|
||||
progress_bar.progress(92, text="⚖️ 综合裁决委员会进行权重复核...")
|
||||
progress_bar.progress(92, text="综合裁决委员会进行权重复核...")
|
||||
with live_box:
|
||||
st.markdown("##### ⚖️ 综合裁决节点")
|
||||
st.markdown("##### 综合裁决节点")
|
||||
j_status = st.empty()
|
||||
j_thinking = st.empty()
|
||||
j_content = st.empty()
|
||||
@@ -280,13 +279,13 @@ if start_btn:
|
||||
j_think_buf = []
|
||||
j_cont_buf = []
|
||||
|
||||
j_status.info("🚀 综合裁决委员会正在消解分歧...")
|
||||
j_status.info("综合裁决委员会正在消解分歧...")
|
||||
|
||||
def judge_on_token(token_type: str, token_text: str):
|
||||
if token_type == "reasoning":
|
||||
j_think_buf.append(token_text)
|
||||
t_str = "".join(j_think_buf)
|
||||
j_status.markdown("🧠 **[裁决委员会讨论中...]**")
|
||||
j_status.markdown("**[裁决委员会讨论中...]**")
|
||||
display_t = t_str[-350:] if len(t_str) > 350 else t_str
|
||||
j_thinking.markdown(
|
||||
f"""<div class="terminal-box terminal-thinking">
|
||||
@@ -297,7 +296,7 @@ if start_btn:
|
||||
elif token_type == "content":
|
||||
j_cont_buf.append(token_text)
|
||||
c_str = "".join(j_cont_buf)
|
||||
j_status.markdown("📝 **[生成核保决议中...]**")
|
||||
j_status.markdown("**[生成核保决议中...]**")
|
||||
display_c = c_str[-280:] if len(c_str) > 280 else c_str
|
||||
j_content.markdown(
|
||||
f"""<div class="terminal-box terminal-output">
|
||||
@@ -309,9 +308,9 @@ if start_btn:
|
||||
engine.judge_agent.on_token_callback = judge_on_token
|
||||
judge_result = engine.judge_agent.evaluate(company, law_result, tech_result, finance_result)
|
||||
judge_trace = list(engine.judge_agent.reasoning_trace)
|
||||
j_status.success("✅ 综合裁决完成")
|
||||
j_status.success("综合裁决完成")
|
||||
|
||||
progress_bar.progress(100, text="✅ 辩论诊断流程全量完成！")
|
||||
progress_bar.progress(100, text="辩论诊断流程全量完成")
|
||||
|
||||
# 持久化结果
|
||||
st.session_state["debate_results"] = {
|
||||
@@ -334,7 +333,7 @@ if start_btn:
|
||||
# ============================================================
|
||||
def render_trace_expander(trace: list, title: str):
|
||||
"""渲染研判结果对应的详细辩论链"""
|
||||
with st.expander(f"🔗 查看 【{title}】 详细辩论链与凭据 (共 {len(trace)} 步)", expanded=False):
|
||||
with st.expander(f"查看 【{title}】 详细辩论链与凭据 (共 {len(trace)} 步)", expanded=False):
|
||||
for step in trace:
|
||||
ts = step.get("timestamp", "")
|
||||
step_name = step.get("step", "")
|
||||
@@ -378,14 +377,14 @@ def render_risk_card(result: dict, keys: list, trace: list, agent_title: str, ov
|
||||
# 关键发现
|
||||
findings = result.get("key_findings", [])
|
||||
if findings:
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:12px; margin-bottom:4px;'>📌 关键风险发现:</p>", unsafe_allow_html=True)
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:12px; margin-bottom:4px;'>关键风险发现:</p>", unsafe_allow_html=True)
|
||||
for f in findings:
|
||||
st.markdown(f"<span style='font-size:0.83rem; color:#E2E8F0;'>• {f}</span>", unsafe_allow_html=True)
|
||||
|
||||
# 建议
|
||||
recs = result.get("recommendations", [])
|
||||
if recs:
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:10px; margin-bottom:4px;'>💡 专家处置建议:</p>", unsafe_allow_html=True)
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:10px; margin-bottom:4px;'>专家处置建议:</p>", unsafe_allow_html=True)
|
||||
for r in recs:
|
||||
st.markdown(f"<span style='font-size:0.83rem; color:#CBD5E1;'>• {r}</span>", unsafe_allow_html=True)
|
||||
|
||||
@@ -405,10 +404,10 @@ if res is not None:
|
||||
judge_result = res["judge_result"]
|
||||
|
||||
st.markdown("---")
|
||||
st.markdown(f"### 📊 多智能体交叉辩论诊断报告 — {company['short_name']} ({company['stock_code']})")
|
||||
st.markdown(f"### 多智能体交叉辩论诊断报告 — {company['short_name']} ({company['stock_code']})")
|
||||
|
||||
# ---- Phase 1: 三方独立研判 ----
|
||||
st.markdown("#### 📋 Phase 1: 三方专家节点穿透研判全景")
|
||||
st.markdown("#### Phase 1: 三方专家节点穿透研判全景")
|
||||
col_law, col_tech, col_fin = st.columns(3)
|
||||
|
||||
with col_law:
|
||||
@@ -416,7 +415,7 @@ if res is not None:
|
||||
law_result,
|
||||
["algo_compliance_risk", "geopolitical_risk", "data_compliance_risk", "ip_litigation_risk"],
|
||||
res.get("law_trace", []),
|
||||
"👩⚖️ 法务风控节点",
|
||||
"法务风控节点",
|
||||
"overall_law_risk",
|
||||
)
|
||||
|
||||
@@ -425,7 +424,7 @@ if res is not None:
|
||||
tech_result,
|
||||
["tech_disruption_risk", "talent_loss_risk", "patent_moat", "tech_iteration_pressure"],
|
||||
res.get("tech_trace", []),
|
||||
"👨🔬 技术风控节点",
|
||||
"技术风控节点",
|
||||
"overall_tech_risk",
|
||||
)
|
||||
|
||||
@@ -434,30 +433,30 @@ if res is not None:
|
||||
finance_result,
|
||||
["rd_capitalization_risk", "concentration_risk", "receivable_risk", "cashflow_risk"],
|
||||
res.get("finance_trace", []),
|
||||
"👔 财务风控节点",
|
||||
"财务风控节点",
|
||||
"overall_fin_risk",
|
||||
)
|
||||
|
||||
# ---- Phase 2: 交叉质证分析 ----
|
||||
st.markdown("---")
|
||||
st.markdown("#### 🔄 Phase 2: 三方交叉质证与冲突判定")
|
||||
st.markdown("#### Phase 2: 三方交叉质证与冲突判定")
|
||||
if conflicts:
|
||||
for conflict in conflicts:
|
||||
st.markdown(f"""
|
||||
<div style='background:rgba(239, 68, 68, 0.1); border:1px solid rgba(239, 68, 68, 0.3); border-radius:8px; padding:12px 16px; margin:6px 0; color:#FCA5A5;'>
|
||||
⚠️ <b>判定冲突警示</b>：{conflict}
|
||||
<b>判定冲突警示</b>：{conflict}
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
else:
|
||||
st.markdown("""
|
||||
<div style='background:rgba(16, 185, 129, 0.1); border:1px solid rgba(16, 185, 129, 0.3); border-radius:8px; padding:12px 16px; color:#6EE7B7;'>
|
||||
✅ <b>一致性确认</b>：法务、技术、财务三方判定逻辑高度契合，无重大矛盾分歧。
|
||||
<b>一致性确认</b>：法务、技术、财务三方判定逻辑高度契合，无重大矛盾分歧。
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
# ---- Phase 3: 综合裁决与保险核保 ----
|
||||
st.markdown("---")
|
||||
st.markdown("#### ⚖️ Phase 3: 风险委员会综合裁决与核保决策")
|
||||
st.markdown("#### Phase 3: 风险委员会综合裁决与核保决策")
|
||||
|
||||
comp_score = judge_result.get("comprehensive_score", 50)
|
||||
decision = judge_result.get("underwriting_decision", "标准承保")
|
||||
@@ -514,23 +513,23 @@ if res is not None:
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
st.markdown(f"**📝 裁决终审意见**: {judge_result.get('summary', '')}")
|
||||
st.markdown(f"**裁决终审意见**: {judge_result.get('summary', '')}")
|
||||
|
||||
conditions = judge_result.get("underwriting_conditions", [])
|
||||
if conditions:
|
||||
st.markdown("**📌 保险核保附加条件**:")
|
||||
st.markdown("**保险核保附加条件**:")
|
||||
for c in conditions:
|
||||
st.markdown(f"- <span style='color:#F59E0B;'>{c}</span>", unsafe_allow_html=True)
|
||||
|
||||
# 挂载裁决节点的辩论链
|
||||
st.markdown("<br>", unsafe_allow_html=True)
|
||||
render_trace_expander(res.get("judge_trace", []), "⚖️ 综合裁决委员会")
|
||||
render_trace_expander(res.get("judge_trace", []), "综合裁决委员会")
|
||||
|
||||
else:
|
||||
# 默认引导说明
|
||||
st.markdown("""
|
||||
<div style='background:rgba(255,255,255,0.02); border:1px solid rgba(255,255,255,0.08); border-radius:12px; padding:24px; margin-top:20px;'>
|
||||
<h4 style='color:#F8FAFC; margin-top:0;'>💡 多智能体辩论与风险识别流程说明</h4>
|
||||
<h4 style='color:#F8FAFC; margin-top:0;'>多智能体辩论与风险识别流程说明</h4>
|
||||
<ol style='color:#94A3B8; line-height:1.8;'>
|
||||
<li><b>Phase 1 - 三方穿透研判</b>: 法务风控节点审查算法与出口管制、技术风控节点审查路线与人员、财务风控节点穿透资本化与集中度。</li>
|
||||
<li><b>Phase 2 - 交叉质证分析</b>: 识别法务、技术、财务意见间的潜在分歧（如：研发投入大 vs 资本化美化利润）。</li>
|
||||
+16
-16
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
💰 动态定价与核保页面
|
||||
动态定价与核保页面
|
||||
保险产品选择 → 费率计算器 → 核保报告生成
|
||||
"""
|
||||
import sys
|
||||
@@ -19,9 +19,9 @@ from risk_engine.dynamic_pricing import (
|
||||
from risk_engine.report_generator import generate_report, format_report_markdown
|
||||
from config import INSURANCE_PRODUCTS
|
||||
|
||||
st.set_page_config(page_title="动态定价与核保", page_icon="💰", layout="wide")
|
||||
st.set_page_config(page_title="动态定价与核保", layout="wide")
|
||||
|
||||
st.markdown("# 💰 科创特有风险综合险 · 动态定价引擎")
|
||||
st.markdown("# 科创特有风险综合险 · 动态定价引擎")
|
||||
st.markdown("基于六维风险评分的“千企千面”精准核保与定价。")
|
||||
|
||||
from utils.session_helper import render_company_selector, render_sidebar_global_company_selector
|
||||
@@ -31,7 +31,7 @@ with st.sidebar:
|
||||
st.markdown("---")
|
||||
|
||||
# 企业选择（全局同步）
|
||||
company = render_company_selector("🏢 选择目标企业", key_suffix="pricing_page")
|
||||
company = render_company_selector("选择目标企业", key_suffix="pricing_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
if company:
|
||||
@@ -63,7 +63,7 @@ if company:
|
||||
f"<div style='background:{color}22; padding:20px; border-radius:12px; text-align:center; "
|
||||
f"border:2px solid {color};'>"
|
||||
f"<div style='font-size:2.5em; font-weight:bold; color:{color};'>{comprehensive}</div>"
|
||||
f"<div style='color:{color};'>综合风险评分 {level_info['emoji']} {level_info['level']}</div>"
|
||||
f"<div style='color:{color};'>综合风险评分: {level_info['level']}</div>"
|
||||
f"</div>",
|
||||
unsafe_allow_html=True,
|
||||
)
|
||||
@@ -73,7 +73,7 @@ if company:
|
||||
# ============================================================
|
||||
# 保险产品费率计算
|
||||
# ============================================================
|
||||
st.markdown("### 📊 保险产品费率方案")
|
||||
st.markdown("### 保险产品费率方案")
|
||||
|
||||
pricing_results = calculate_all_products(
|
||||
comprehensive, scores, sector, revenue
|
||||
@@ -108,20 +108,20 @@ if company:
|
||||
st.metric("保额", f"¥{pricing['adjusted_coverage']:,.0f}")
|
||||
st.metric("免赔率", f"{pricing['deductible_rate']:.0%}")
|
||||
|
||||
with st.expander("📐 定价明细"):
|
||||
with st.expander("定价明细"):
|
||||
st.markdown(f"- 风险系数: {pricing['risk_multiplier']:.3f}")
|
||||
st.markdown(f"- 行业调整: {pricing['industry_factor']:.3f}")
|
||||
st.markdown(f"- 规模折扣: {pricing['scale_factor']:.3f}")
|
||||
st.markdown(f"- 维度调整: {pricing['dimension_adjustment']:.3f}")
|
||||
st.markdown(f"- **计算公式**: {pricing['pricing_breakdown']}")
|
||||
else:
|
||||
st.error("⛔ 风险过高，建议拒保")
|
||||
st.error("风险过高，建议拒保")
|
||||
|
||||
# ============================================================
|
||||
# 费率对比图
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("### 📈 费率构成分析")
|
||||
st.markdown("### 费率构成分析")
|
||||
|
||||
col_chart1, col_chart2 = st.columns(2)
|
||||
|
||||
@@ -155,7 +155,7 @@ if company:
|
||||
])
|
||||
fig.update_layout(
|
||||
title=dict(
|
||||
text="<b>📊 基础保费 vs 调整后保费对比</b>",
|
||||
text="<b>基础保费 vs 调整后保费对比</b>",
|
||||
font=dict(size=15, color="#F8FAFC"),
|
||||
x=0.02,
|
||||
y=0.96
|
||||
@@ -212,7 +212,7 @@ if company:
|
||||
))
|
||||
fig2.update_layout(
|
||||
title=dict(
|
||||
text=f"<b>📉 {p['product_name']} — 定价因子分解</b>",
|
||||
text=f"<b>{p['product_name']} — 定价因子分解</b>",
|
||||
font=dict(size=15, color="#F8FAFC"),
|
||||
x=0.02,
|
||||
y=0.96
|
||||
@@ -231,7 +231,7 @@ if company:
|
||||
# 核保报告生成
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("### 📋 核保决策报告")
|
||||
st.markdown("### 核保决策报告")
|
||||
|
||||
# 检查 session_state 中是否有该企业的真实大模型辩论结果
|
||||
has_real_debate = False
|
||||
@@ -239,11 +239,11 @@ if company:
|
||||
|
||||
if debate_res_in_session and debate_res_in_session.get("company", {}).get("stock_code") == stock_code:
|
||||
has_real_debate = True
|
||||
st.success("🤖 **已成功链接页面 3 的【大模型多智能体辩论】真实研判与穿透凭据！**")
|
||||
st.success("**已成功链接多智能体辩论真实研判与穿透凭据**")
|
||||
else:
|
||||
st.info("💡 **提示**：建议先至 **【⚖️ 多智能体辩论诊断】** 页面为该企业发起大模型辩论，本报告将自动整合最深度的 AI 审查凭据。")
|
||||
st.info("**提示**：建议先至【多智能体辩论诊断】页面为该企业发起辩论评估，本报告将自动整合深度审查凭据。")
|
||||
|
||||
if st.button("📄 生成完整核保报告", type="primary", use_container_width=True):
|
||||
if st.button("生成完整核保报告", type="primary", use_container_width=True):
|
||||
if has_real_debate:
|
||||
debate_result = debate_res_in_session
|
||||
else:
|
||||
@@ -275,7 +275,7 @@ if company:
|
||||
|
||||
# 下载按钮
|
||||
st.download_button(
|
||||
label="📥 下载核保报告 (Markdown 格式)",
|
||||
label="下载核保报告 (Markdown 格式)",
|
||||
data=markdown_report,
|
||||
file_name=f"核保报告_{company['short_name']}_{report['report_id']}.md",
|
||||
mime="text/markdown",
|
||||
@@ -100,20 +100,20 @@ def format_report_markdown(report: dict) -> str:
|
||||
debate = report["debate_summary"]
|
||||
lines.append("\n## 三、多智能体交叉验证摘要")
|
||||
|
||||
lines.append("\n### 👩⚖️ 法务风控节点")
|
||||
lines.append("\n### 法务风控节点")
|
||||
for f in debate.get("law_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
lines.append("\n### 👨🔬 技术风控节点")
|
||||
lines.append("\n### 技术风控节点")
|
||||
for f in debate.get("tech_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
lines.append("\n### 👔 财务风控节点")
|
||||
lines.append("\n### 财务风控节点")
|
||||
for f in debate.get("fin_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
if debate.get("conflicts"):
|
||||
lines.append("\n### ⚠️ 冲突点")
|
||||
lines.append("\n### 冲突点分析")
|
||||
for c in debate["conflicts"]:
|
||||
lines.append(f"- {c}")
|
||||
|
||||
|
||||
@@ -11,11 +11,11 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
# 风险等级映射
|
||||
RISK_LEVELS = {
|
||||
(0, 30): {"level": "低", "color": "#4CAF50", "emoji": "🟢"},
|
||||
(30, 50): {"level": "中低", "color": "#8BC34A", "emoji": "🟡"},
|
||||
(50, 70): {"level": "中高", "color": "#FF9800", "emoji": "🟠"},
|
||||
(70, 90): {"level": "高", "color": "#F44336", "emoji": "🔴"},
|
||||
(90, 101): {"level": "极高", "color": "#B71C1C", "emoji": "⛔"},
|
||||
(0, 30): {"level": "低", "color": "#4CAF50", "emoji": ""},
|
||||
(30, 50): {"level": "中低", "color": "#8BC34A", "emoji": ""},
|
||||
(50, 70): {"level": "中高", "color": "#FF9800", "emoji": ""},
|
||||
(70, 90): {"level": "高", "color": "#F44336", "emoji": ""},
|
||||
(90, 101): {"level": "极高", "color": "#B71C1C", "emoji": ""},
|
||||
}
|
||||
|
||||
|
||||
@@ -24,7 +24,7 @@ def get_risk_level(score: int) -> dict:
|
||||
for (low, high), info in RISK_LEVELS.items():
|
||||
if low <= score < high:
|
||||
return info
|
||||
return {"level": "未知", "color": "#9E9E9E", "emoji": "❓"}
|
||||
return {"level": "未知", "color": "#9E9E9E", "emoji": ""}
|
||||
|
||||
|
||||
def calculate_six_dimension_scores(company_data: dict) -> dict:
|
||||
|
||||
@@ -0,0 +1,205 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
系统集成测试脚本
|
||||
验证所有核心模块是否正常工作
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
def test_data_layer():
|
||||
"""测试数据层"""
|
||||
print("=" * 50)
|
||||
print("测试 1: 数据层")
|
||||
print("=" * 50)
|
||||
from collectors.financial_collector import get_all_companies, get_company_by_code
|
||||
|
||||
companies = get_all_companies()
|
||||
print(f" 已加载 {len(companies)} 家企业")
|
||||
assert len(companies) == 10, f"期望10家企业，实际{len(companies)}"
|
||||
|
||||
c = get_company_by_code("688256")
|
||||
assert c is not None, "未找到寒武纪(688256)"
|
||||
print(f" 寒武纪: {c['short_name']}, 行业: {c['industry']}")
|
||||
print(f" 制裁状态: {c['compliance']['entity_list_status']}")
|
||||
print(" [通过] 数据层测试通过\n")
|
||||
|
||||
def test_entity_list():
|
||||
"""测试实体清单匹配"""
|
||||
print("=" * 50)
|
||||
print("测试 2: 实体清单匹配")
|
||||
print("=" * 50)
|
||||
from collectors.entity_list_collector import check_entity_list, check_supply_chain_sanctions
|
||||
|
||||
result = check_entity_list("中芯国际")
|
||||
print(f" 中芯国际制裁状态: {result['is_sanctioned']}, 匹配: {result['match_type']}")
|
||||
assert result["is_sanctioned"] == True
|
||||
|
||||
result2 = check_entity_list("金山办公")
|
||||
print(f" 金山办公制裁状态: {result2['is_sanctioned']}")
|
||||
assert result2["is_sanctioned"] == False
|
||||
|
||||
# 供应链制裁穿透
|
||||
suppliers = ["ASML", "东京电子", "某国内供应商"]
|
||||
sanctions = check_supply_chain_sanctions("中芯国际", suppliers)
|
||||
print(f" 供应链制裁穿透: 发现 {len(sanctions)} 个受制裁供应商")
|
||||
print(" [通过] 实体清单测试通过\n")
|
||||
|
||||
def test_compliance():
|
||||
"""测试合规数据"""
|
||||
print("=" * 50)
|
||||
print("测试 3: 算法备案合规")
|
||||
print("=" * 50)
|
||||
from collectors.compliance_collector import check_algo_filing, assess_algo_compliance_risk
|
||||
from collectors.financial_collector import get_company_by_code
|
||||
|
||||
filing = check_algo_filing("金山办公")
|
||||
print(f" 金山办公算法备案: {filing['has_filing']}, 备案数: {len(filing['filings'])}")
|
||||
assert filing["has_filing"] == True
|
||||
|
||||
company = get_company_by_code("688787") # 海天瑞声
|
||||
risk = assess_algo_compliance_risk(company)
|
||||
print(f" 海天瑞声合规风险: {risk['overall_risk_level']}")
|
||||
print(" [通过] 合规数据测试通过\n")
|
||||
|
||||
def test_knowledge_graph():
|
||||
"""测试知识图谱"""
|
||||
print("=" * 50)
|
||||
print("测试 4: 知识图谱构建")
|
||||
print("=" * 50)
|
||||
from knowledge_graph.graph_builder import build_graph, get_graph_stats
|
||||
|
||||
G = build_graph()
|
||||
stats = get_graph_stats(G)
|
||||
print(f" 节点数: {stats['total_nodes']}")
|
||||
print(f" 边数: {stats['total_edges']}")
|
||||
print(f" 受制裁节点: {stats['sanctioned_nodes']}")
|
||||
print(f" 节点类型: {stats['node_types']}")
|
||||
assert stats["total_nodes"] > 20
|
||||
assert stats["total_edges"] > 15
|
||||
print(" [通过] 知识图谱测试通过\n")
|
||||
|
||||
def test_contagion():
|
||||
"""测试供应链传染分析"""
|
||||
print("=" * 50)
|
||||
print("测试 5: 供应链风险传染分析")
|
||||
print("=" * 50)
|
||||
from knowledge_graph.graph_builder import build_graph
|
||||
from knowledge_graph.contagion_analyzer import analyze_contagion
|
||||
|
||||
G = build_graph()
|
||||
|
||||
# 中芯国际 - 应该有大量直接风险
|
||||
result = analyze_contagion(G, "中芯国际")
|
||||
print(f" 中芯国际供应链风险评分: {result['risk_score']}/100")
|
||||
print(f" 直接风险: {len(result['direct_risks'])} 个")
|
||||
print(f" 间接风险: {len(result['indirect_risks'])} 个")
|
||||
print(f" 传染路径: {len(result['contagion_paths'])} 条")
|
||||
|
||||
# 海尔生物 - 应该风险较低
|
||||
result2 = analyze_contagion(G, "海尔生物")
|
||||
print(f" 海尔生物供应链风险评分: {result2['risk_score']}/100")
|
||||
print(" [通过] 传染分析测试通过\n")
|
||||
|
||||
def test_risk_scorer():
|
||||
"""测试六维风险评分"""
|
||||
print("=" * 50)
|
||||
print("测试 6: 六维风险评分")
|
||||
print("=" * 50)
|
||||
from collectors.financial_collector import get_all_companies
|
||||
from risk_engine.risk_scorer import calculate_six_dimension_scores
|
||||
|
||||
companies = get_all_companies()
|
||||
print(f" {'企业':<10} {'综合':>6} {'技术':>6} {'人员':>6} {'合规':>6} {'地缘':>6} {'资本化':>6} {'集中':>6}")
|
||||
print(" " + "-" * 60)
|
||||
|
||||
for comp in companies:
|
||||
result = calculate_six_dimension_scores(comp)
|
||||
s = result["scores"]
|
||||
print(f" {comp['short_name']:<10} {result['comprehensive_score']:>5} "
|
||||
f"{s['tech_disruption']:>5} {s['talent_loss']:>5} "
|
||||
f"{s['algo_compliance']:>5} {s['geopolitical']:>5} "
|
||||
f"{s['rd_capitalization']:>5} {s['concentration']:>5}")
|
||||
print(" [通过] 风险评分测试通过\n")
|
||||
|
||||
def test_agents():
|
||||
"""测试多智能体（规则引擎模式）"""
|
||||
print("=" * 50)
|
||||
print("测试 7: 多智能体辩论（规则引擎降级模式）")
|
||||
print("=" * 50)
|
||||
from collectors.financial_collector import get_company_by_code
|
||||
from agents.law_agent import LawAgent
|
||||
from agents.tech_agent import TechAgent
|
||||
from agents.finance_agent import FinanceAgent
|
||||
from agents.judge_agent import JudgeAgent
|
||||
|
||||
company = get_company_by_code("688787") # 海天瑞声 - 高风险案例
|
||||
|
||||
law = LawAgent()
|
||||
law_result = law._rule_based_evaluation(company)
|
||||
print(f" 法务风险: {law_result['overall_law_risk']['score']}分 ({law_result['overall_law_risk']['level']})")
|
||||
|
||||
tech = TechAgent()
|
||||
tech_result = tech._rule_based_evaluation(company)
|
||||
print(f" 技术风险: {tech_result['overall_tech_risk']['score']}分 ({tech_result['overall_tech_risk']['level']})")
|
||||
|
||||
fin = FinanceAgent()
|
||||
fin_result = fin._rule_based_evaluation(company)
|
||||
print(f" 财务风险: {fin_result['overall_fin_risk']['score']}分 ({fin_result['overall_fin_risk']['level']})")
|
||||
|
||||
judge = JudgeAgent()
|
||||
judge_result = judge._rule_based_evaluation(company, law_result, tech_result, fin_result)
|
||||
print(f" 综合评分: {judge_result['comprehensive_score']}分")
|
||||
print(f" 核保决策: {judge_result['underwriting_decision']}")
|
||||
print(f" 关键风险: {judge_result['key_risks']}")
|
||||
print(" [通过] 多智能体测试通过\n")
|
||||
|
||||
def test_dynamic_pricing():
|
||||
"""测试动态定价"""
|
||||
print("=" * 50)
|
||||
print("测试 8: 动态保险定价")
|
||||
print("=" * 50)
|
||||
from risk_engine.dynamic_pricing import calculate_all_products
|
||||
|
||||
# 高风险企业
|
||||
scores_high = {
|
||||
"tech_disruption": 80, "talent_loss": 75,
|
||||
"algo_compliance": 60, "geopolitical": 90,
|
||||
"rd_capitalization": 45, "concentration": 85,
|
||||
}
|
||||
results = calculate_all_products(75, scores_high, "芯片", 1_170_000_000)
|
||||
print(" 寒武纪（高风险）保费方案:")
|
||||
for r in results:
|
||||
print(f" {r['product_name']}: 基础¥{r['base_premium']:,.0f} -> 最终¥{r['final_premium']:,.0f} "
|
||||
f"(倍率{r['risk_multiplier']:.2f}) {'[通过]可保' if r['is_insurable'] else '[失败]拒保'}")
|
||||
|
||||
# 低风险企业
|
||||
scores_low = {
|
||||
"tech_disruption": 30, "talent_loss": 25,
|
||||
"algo_compliance": 15, "geopolitical": 18,
|
||||
"rd_capitalization": 10, "concentration": 20,
|
||||
}
|
||||
results2 = calculate_all_products(20, scores_low, "医疗器械", 2_580_000_000)
|
||||
print(" 南微医学（低风险）保费方案:")
|
||||
for r in results2:
|
||||
print(f" {r['product_name']}: 基础¥{r['base_premium']:,.0f} -> 最终¥{r['final_premium']:,.0f} "
|
||||
f"(倍率{r['risk_multiplier']:.2f})")
|
||||
print(" [通过] 动态定价测试通过\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("\n 科创企业智能风控系统 - 集成测试\n")
|
||||
|
||||
test_data_layer()
|
||||
test_entity_list()
|
||||
test_compliance()
|
||||
test_knowledge_graph()
|
||||
test_contagion()
|
||||
test_risk_scorer()
|
||||
test_agents()
|
||||
test_dynamic_pricing()
|
||||
|
||||
print("=" * 50)
|
||||
print("[成功] 所有测试通过！系统可以正常运行。")
|
||||
print("=" * 50)
|
||||
print("\n启动可视化系统: streamlit run app.py")
|
||||
@@ -50,7 +50,7 @@ def set_global_company_code(code: str):
|
||||
st.session_state[GLOBAL_COMPANY_KEY] = code
|
||||
|
||||
|
||||
def render_company_selector(label: str = "🏢 选择待评估科创企业", key_suffix: str = "main"):
|
||||
def render_company_selector(label: str = "选择待评估科创企业", key_suffix: str = "main"):
|
||||
"""
|
||||
渲染与全局 session_state 双向同步的企业选择下拉框
|
||||
返回: selected_company_dict (选中的企业数据字典)
|
||||
@@ -61,7 +61,7 @@ def render_company_selector(label: str = "🏢 选择待评估科创企业", key
|
||||
if not companies:
|
||||
return None
|
||||
|
||||
# 构建带图标与领域的名称映射
|
||||
# 构建带领域的名称映射
|
||||
company_options = {f"{c['short_name']} ({c['stock_code']}) - {c['sector']}": c["stock_code"] for c in companies}
|
||||
labels_list = list(company_options.keys())
|
||||
codes_list = [c["stock_code"] for c in companies]
|
||||
@@ -102,7 +102,7 @@ def render_sidebar_global_company_selector():
|
||||
current_code = get_global_company_code()
|
||||
default_index = codes_list.index(current_code) if current_code in codes_list else 0
|
||||
|
||||
st.markdown("### 🏢 全局联动评估目标")
|
||||
st.markdown("### 全局联动评估目标")
|
||||
selected_label = st.selectbox(
|
||||
"当前联动目标企业:",
|
||||
labels_list,
|
||||
|
||||
+21
-21
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🛡️ 科创企业智能风控与核保系统 - 首页 / 风控大屏入口
|
||||
科创企业智能风控与核保系统 - 首页 / 风控大屏入口
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
@@ -98,23 +98,23 @@ from utils.session_helper import render_sidebar_global_company_selector
|
||||
with st.sidebar:
|
||||
render_sidebar_global_company_selector()
|
||||
st.markdown("---")
|
||||
st.markdown("### 🛡️ 系统导航")
|
||||
st.markdown("### 系统导航")
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
**功能模块**
|
||||
- 🏠 系统首页
|
||||
- 📊 企业风险概览
|
||||
- 🕸️ 供应链知识图谱
|
||||
- ⚖️ 多智能体辩论诊断
|
||||
- 💰 动态定价与核保
|
||||
- 00 系统首页
|
||||
- 01 企业风险概览
|
||||
- 02 供应链知识图谱
|
||||
- 03 多智能体辩论诊断
|
||||
- 04 动态定价与核保
|
||||
""")
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
**技术栈**
|
||||
- 🤖 DeepSeek API (LLM)
|
||||
- 🕸️ NetworkX (知识图谱)
|
||||
- 📊 Plotly (可视化)
|
||||
- 🔧 Streamlit (Web框架)
|
||||
- DeepSeek API (LLM)
|
||||
- NetworkX (知识图谱)
|
||||
- Plotly (数据可视化)
|
||||
- Streamlit (Web微服务框架)
|
||||
""")
|
||||
st.markdown("---")
|
||||
st.caption("中国平安 × 挑战杯 · 科创风控原型")
|
||||
@@ -126,7 +126,7 @@ with st.sidebar:
|
||||
# 标题
|
||||
st.markdown("""
|
||||
<div class="main-title">
|
||||
<h1>🛡️ 科创企业智能风控与核保系统</h1>
|
||||
<h1>科创企业智能风控与核保系统</h1>
|
||||
<p>基于多智能体辩论 × 知识图谱 × 动态定价的全链条风控平台</p>
|
||||
<p style="font-size: 0.85em; color: #666;">中国青基会平安励志计划 · XH-202626 · 科创企业特有风险的识别与管理</p>
|
||||
</div>
|
||||
@@ -138,7 +138,7 @@ companies = get_all_companies()
|
||||
# ============================================================
|
||||
# 统计概览卡片
|
||||
# ============================================================
|
||||
st.markdown("### 📊 系统概览")
|
||||
st.markdown("### 系统概览")
|
||||
|
||||
# 计算所有企业的风险评分
|
||||
risk_data = []
|
||||
@@ -172,7 +172,7 @@ with col2:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #F44336;">{high_risk}</div>
|
||||
<div class="label">⚠️ 高风险企业</div>
|
||||
<div class="label">高风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -181,7 +181,7 @@ with col3:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #FF9800;">{med_risk}</div>
|
||||
<div class="label">🟡 中风险企业</div>
|
||||
<div class="label">中风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -190,7 +190,7 @@ with col4:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #4CAF50;">{low_risk}</div>
|
||||
<div class="label">🟢 低风险企业</div>
|
||||
<div class="label">低风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -199,7 +199,7 @@ with col5:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #B71C1C;">{sanctioned}</div>
|
||||
<div class="label">⛔ 受制裁企业</div>
|
||||
<div class="label">受制裁企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -211,7 +211,7 @@ st.markdown("<br>", unsafe_allow_html=True)
|
||||
col_left, col_right = st.columns([3, 2])
|
||||
|
||||
with col_left:
|
||||
st.markdown("#### 🎯 企业综合风险评分分布")
|
||||
st.markdown("#### 企业综合风险评分分布")
|
||||
|
||||
# 水平柱状图，按风险排序
|
||||
df_sorted = df.sort_values("comprehensive_score", ascending=True)
|
||||
@@ -256,7 +256,7 @@ with col_left:
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
|
||||
with col_right:
|
||||
st.markdown("#### 🏷️ 行业风险热力")
|
||||
st.markdown("#### 行业风险热力")
|
||||
|
||||
# 按行业汇总
|
||||
sector_risk = df.groupby("sector")["comprehensive_score"].mean().reset_index()
|
||||
@@ -283,7 +283,7 @@ with col_right:
|
||||
# ============================================================
|
||||
# 企业列表
|
||||
# ============================================================
|
||||
st.markdown("### 📋 企业风险速览")
|
||||
st.markdown("### 企业风险速览")
|
||||
|
||||
# 格式化数据表格
|
||||
display_df = df[["company", "stock_code", "industry", "comprehensive_score", "risk_level"]].copy()
|
||||
@@ -297,7 +297,7 @@ st.dataframe(display_df, use_container_width=True, height=400)
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
<div style="text-align: center; color: #666; font-size: 0.85em;">
|
||||
<p>🛡️ 科创企业智能风控与核保系统 v1.0</p>
|
||||
<p>科创企业智能风控与核保系统 v1.0</p>
|
||||
<p>技术架构: Multi-Agent 交叉验证 × 供应链知识图谱 × 动态保险定价</p>
|
||||
<p>数据来源: 科创板公开年报 · BIS 实体清单 · 网信办算法备案公示</p>
|
||||
</div>
|
||||
@@ -45,7 +45,7 @@ DEEPSEEK_API_KEY = "your-deepseek-api-key"
|
||||
#### 4. 一键启动 Web 系统
|
||||
在终端运行以下命令启动本地交互服务：
|
||||
```bash
|
||||
streamlit run 🏠_系统首页.py
|
||||
streamlit run 系统首页.py
|
||||
```
|
||||
终端启动成功后，浏览器将自动弹窗并打开系统界面：
|
||||
`http://localhost:8501`
|
||||
@@ -59,14 +59,14 @@ streamlit run 🏠_系统首页.py
|
||||
#### 1. 代码目录结构
|
||||
```text
|
||||
/opt/risk_system/
|
||||
├── 🏠_系统首页.py # 系统控制台大屏入口
|
||||
├── 系统首页.py # 系统控制台大屏入口
|
||||
├── config.py # 全局参数与风控规则配置
|
||||
├── requirements.txt # Python 依赖清单
|
||||
├── pages/ # 4 大业务功能子模块
|
||||
│ ├── 01_📊_企业风险概览.py
|
||||
│ ├── 02_🕸️_供应链知识图谱.py
|
||||
│ ├── 03_🤖_多智能体辩论诊断.py
|
||||
│ └── 04_💰_动态定价与核保.py
|
||||
│ ├── 1_企业风险概览.py
|
||||
│ ├── 2_供应链知识图谱.py
|
||||
│ ├── 3_多智能体辩论诊断.py
|
||||
│ └── 4_动态定价与核保.py
|
||||
├── risk_engine/ # Multi-Agent 专家辩论与冲突平息引擎
|
||||
├── knowledge_graph/ # NetworkX 图谱拓扑与 BIS 穿透算法
|
||||
└── collectors/ # AKShare 财报与网信办/BIS 提取器
|
||||
@@ -82,7 +82,7 @@ After=network.target
|
||||
[Service]
|
||||
User=root
|
||||
WorkingDirectory=/opt/risk_system
|
||||
ExecStart=/usr/local/bin/streamlit run 🏠_系统首页.py --server.port 8501 --server.headless true
|
||||
ExecStart=/opt/risk_system/venv/bin/streamlit run 系统首页.py --server.port 8501 --server.headless true
|
||||
Restart=always
|
||||
RestartSec=5
|
||||
|
||||
|
||||
+21
-20
@@ -15,7 +15,7 @@ logger = logging.getLogger(__name__)
|
||||
class BaseAgent:
|
||||
"""智能体基类，支持 Token 级流式 LLM 推理与降级逻辑"""
|
||||
|
||||
def __init__(self, name: str, system_prompt: str, role_icon: str = "🤖"):
|
||||
def __init__(self, name: str, system_prompt: str, role_icon: str = ""):
|
||||
self.name = name
|
||||
self.system_prompt = system_prompt
|
||||
self.role_icon = role_icon
|
||||
@@ -96,20 +96,20 @@ class BaseAgent:
|
||||
逐 Token 实时推送到 on_token_callback 渲染打字机效果
|
||||
"""
|
||||
self.reasoning_trace = []
|
||||
self._trace("📝 构建 Context", f"准备【{self.name}】数据与 Prompt")
|
||||
self._trace("构建 Context", f"准备【{self.name}】数据与 Prompt")
|
||||
|
||||
client = self._get_client()
|
||||
if client is None:
|
||||
self._trace("📌 智能体研判", "执行科创风控知识图谱深度分析")
|
||||
self._trace("智能体研判", "执行科创风控知识图谱深度分析")
|
||||
fallback = self.fallback_inference(prompt)
|
||||
self._trace("📄 智能分析输出", fallback)
|
||||
self._trace("智能分析输出", fallback)
|
||||
return fallback
|
||||
|
||||
self._trace("🔗 大模型连接", f"已连接大模型推理服务 ({self._model})")
|
||||
self._trace("大模型连接", f"已连接大模型推理服务 ({self._model})")
|
||||
|
||||
for attempt in range(max_retries + 1):
|
||||
try:
|
||||
self._trace("🚀 发起流式推理", "正在建立 SSE 流式传输通道...")
|
||||
self._trace("发起流式推理", "正在建立 SSE 流式传输通道...")
|
||||
t0 = time.time()
|
||||
|
||||
stream_resp = client.chat.completions.create(
|
||||
@@ -157,11 +157,11 @@ class BaseAgent:
|
||||
full_reasoning = "".join(reasoning_chunks)
|
||||
|
||||
if full_reasoning:
|
||||
self._trace("🧠 完整思维链", full_reasoning)
|
||||
self._trace("完整思维链", full_reasoning)
|
||||
|
||||
if final_text.strip():
|
||||
self._trace("✅ 流式生成完毕", f"耗时 {elapsed:.1f}s | 产出 {len(final_text)} 字符")
|
||||
self._trace("📄 原始推理输出", final_text)
|
||||
self._trace("流式生成完毕", f"耗时 {elapsed:.1f}s | 产出 {len(final_text)} 字符")
|
||||
self._trace("原始推理输出", final_text)
|
||||
return final_text
|
||||
|
||||
except Exception as e:
|
||||
@@ -169,7 +169,7 @@ class BaseAgent:
|
||||
logger.warning(f"[{self.name}] 流式调用尝试 {attempt+1} 失败: {e}")
|
||||
# 尝试非流式请求重试
|
||||
try:
|
||||
self._trace("🔄 智能重试", "正在发起备用推理通道...")
|
||||
self._trace("智能重试", "正在发起备用推理通道...")
|
||||
resp = client.chat.completions.create(
|
||||
model=self._model,
|
||||
messages=[
|
||||
@@ -187,15 +187,15 @@ class BaseAgent:
|
||||
self.on_token_callback("content", final_text)
|
||||
except Exception:
|
||||
pass
|
||||
self._trace("✅ 推理生成完毕", f"产出 {len(final_text)} 字符")
|
||||
self._trace("📄 原始推理输出", final_text)
|
||||
self._trace("推理生成完毕", f"产出 {len(final_text)} 字符")
|
||||
self._trace("原始推理输出", final_text)
|
||||
return final_text
|
||||
except Exception as e2:
|
||||
self._trace("⚡ 传输异常", f"连接中断: {str(e2)}")
|
||||
self._trace("传输异常", f"连接中断: {str(e2)}")
|
||||
|
||||
self._trace("📌 智能体专业研判", "完成科创企业特征穿透审查分析")
|
||||
self._trace("智能体专业研判", "完成科创企业特征穿透审查分析")
|
||||
fallback = self.fallback_inference(prompt)
|
||||
self._trace("📄 智能分析输出", fallback)
|
||||
self._trace("智能分析输出", fallback)
|
||||
return fallback
|
||||
|
||||
def infer_json(self, prompt: str, temperature: float = 0.1) -> dict:
|
||||
@@ -207,19 +207,19 @@ class BaseAgent:
|
||||
if "```json" in result:
|
||||
json_str = result.split("```json")[1].split("```")[0].strip()
|
||||
parsed = json.loads(json_str)
|
||||
self._trace("✅ 结构解析", "从 Markdown 成功提取 JSON 数据")
|
||||
self._trace("结构解析", "从 Markdown 成功提取 JSON 数据")
|
||||
return parsed
|
||||
elif "```" in result:
|
||||
json_str = result.split("```")[1].split("```")[0].strip()
|
||||
parsed = json.loads(json_str)
|
||||
self._trace("✅ 结构解析", "从代码块成功提取 JSON 数据")
|
||||
self._trace("结构解析", "从代码块成功提取 JSON 数据")
|
||||
return parsed
|
||||
else:
|
||||
parsed = json.loads(result)
|
||||
self._trace("✅ 结构解析", "直接解析 JSON 成功")
|
||||
self._trace("结构解析", "直接解析 JSON 成功")
|
||||
return parsed
|
||||
except (json.JSONDecodeError, IndexError):
|
||||
self._trace("⚠️ 格式适配", "启用自动结构修正")
|
||||
self._trace("格式适配", "启用自动结构修正")
|
||||
logger.warning(f"[{self.name}] JSON 解析失败，返回原始文本")
|
||||
return {"raw_response": result, "parse_error": True}
|
||||
|
||||
@@ -228,4 +228,5 @@ class BaseAgent:
|
||||
return json.dumps({"error": "大模型服务处理中，未返回有效结构"}, ensure_ascii=False)
|
||||
|
||||
def __repr__(self):
|
||||
return f"{self.role_icon} {self.name}"
|
||||
return f"{self.name}"
|
||||
|
||||
|
||||
+15
-15
@@ -38,39 +38,39 @@ class DebateEngine:
|
||||
company_name = company_data.get("short_name", company_data.get("company_name", "未知"))
|
||||
start_time = time.time()
|
||||
|
||||
self._log(f"🏁 启动对 [{company_name}] 的多智能体交叉验证辩论")
|
||||
self._log(f"启动对 [{company_name}] 的多智能体交叉验证辩论")
|
||||
|
||||
# ==============================
|
||||
# Phase 1: 独立研判
|
||||
# ==============================
|
||||
self._log("=" * 50)
|
||||
self._log("📋 Phase 1: 各节点独立研判")
|
||||
self._log("Phase 1: 各节点独立研判")
|
||||
self._log("=" * 50)
|
||||
|
||||
# 法务节点
|
||||
self._log("👩⚖️ 法务风控节点开始评估...")
|
||||
self._log("法务风控节点开始评估...")
|
||||
if callback:
|
||||
callback("law_start", "法务风控节点开始评估...", None)
|
||||
law_result = self.law_agent.evaluate(company_data)
|
||||
self._log(f"👩⚖️ 法务节点完成: 综合法务风险 {law_result.get('overall_law_risk', {}).get('score', '?')} 分")
|
||||
self._log(f"法务节点完成: 综合法务风险 {law_result.get('overall_law_risk', {}).get('score', '?')} 分")
|
||||
if callback:
|
||||
callback("law_done", "法务风控节点评估完成", law_result)
|
||||
|
||||
# 技术节点
|
||||
self._log("👨🔬 技术风控节点开始评估...")
|
||||
self._log("技术风控节点开始评估...")
|
||||
if callback:
|
||||
callback("tech_start", "技术风控节点开始评估...", None)
|
||||
tech_result = self.tech_agent.evaluate(company_data)
|
||||
self._log(f"👨🔬 技术节点完成: 综合技术风险 {tech_result.get('overall_tech_risk', {}).get('score', '?')} 分")
|
||||
self._log(f"技术节点完成: 综合技术风险 {tech_result.get('overall_tech_risk', {}).get('score', '?')} 分")
|
||||
if callback:
|
||||
callback("tech_done", "技术风控节点评估完成", tech_result)
|
||||
|
||||
# 财务节点
|
||||
self._log("👔 财务风控节点开始评估...")
|
||||
self._log("财务风控节点开始评估...")
|
||||
if callback:
|
||||
callback("fin_start", "财务风控节点开始评估...", None)
|
||||
finance_result = self.finance_agent.evaluate(company_data)
|
||||
self._log(f"👔 财务节点完成: 综合财务风险 {finance_result.get('overall_fin_risk', {}).get('score', '?')} 分")
|
||||
self._log(f"财务节点完成: 综合财务风险 {finance_result.get('overall_fin_risk', {}).get('score', '?')} 分")
|
||||
if callback:
|
||||
callback("fin_done", "财务风控节点评估完成", finance_result)
|
||||
|
||||
@@ -78,14 +78,14 @@ class DebateEngine:
|
||||
# Phase 2: 交叉质证（记录冲突点）
|
||||
# ==============================
|
||||
self._log("=" * 50)
|
||||
self._log("🔄 Phase 2: 交叉质证")
|
||||
self._log("Phase 2: 交叉质证")
|
||||
self._log("=" * 50)
|
||||
|
||||
conflicts = self._identify_conflicts(law_result, tech_result, finance_result)
|
||||
for conflict in conflicts:
|
||||
self._log(f"⚠️ 冲突: {conflict}")
|
||||
self._log(f"冲突: {conflict}")
|
||||
if not conflicts:
|
||||
self._log("✅ 各节点意见一致，无冲突")
|
||||
self._log("各节点意见一致，无冲突")
|
||||
|
||||
if callback:
|
||||
callback("cross_validation", "交叉质证完成", {"conflicts": conflicts})
|
||||
@@ -94,7 +94,7 @@ class DebateEngine:
|
||||
# Phase 3: 综合裁决
|
||||
# ==============================
|
||||
self._log("=" * 50)
|
||||
self._log("⚖️ Phase 3: 综合裁决")
|
||||
self._log("Phase 3: 综合裁决")
|
||||
self._log("=" * 50)
|
||||
|
||||
if callback:
|
||||
@@ -102,13 +102,13 @@ class DebateEngine:
|
||||
judge_result = self.judge_agent.evaluate(
|
||||
company_data, law_result, tech_result, finance_result
|
||||
)
|
||||
self._log(f"⚖️ 综合评分: {judge_result.get('comprehensive_score', '?')} 分")
|
||||
self._log(f"⚖️ 核保建议: 【{judge_result.get('underwriting_decision', '?')}】")
|
||||
self._log(f"综合评分: {judge_result.get('comprehensive_score', '?')} 分")
|
||||
self._log(f"核保建议: 【{judge_result.get('underwriting_decision', '?')}】")
|
||||
if callback:
|
||||
callback("judge_done", "综合裁决完成", judge_result)
|
||||
|
||||
elapsed = time.time() - start_time
|
||||
self._log(f"🏁 辩论完成，耗时 {elapsed:.1f} 秒")
|
||||
self._log(f"辩论完成，耗时 {elapsed:.1f} 秒")
|
||||
|
||||
return {
|
||||
"company": company_name,
|
||||
|
||||
@@ -41,7 +41,7 @@ class FinanceAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="财务风控节点",
|
||||
system_prompt=FIN_SYSTEM_PROMPT,
|
||||
role_icon="👔",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict) -> dict:
|
||||
|
||||
@@ -49,7 +49,7 @@ class JudgeAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="综合裁决节点",
|
||||
system_prompt=JUDGE_SYSTEM_PROMPT,
|
||||
role_icon="⚖️",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict, law_result: dict,
|
||||
@@ -72,13 +72,13 @@ class JudgeAgent(BaseAgent):
|
||||
企业名称：{company_data.get('short_name', '未知')}
|
||||
行业：{company_data.get('industry', '未知')}
|
||||
|
||||
=== 👩⚖️ 法务风控节点评估 ===
|
||||
=== 法务风控节点评估 ===
|
||||
{json.dumps(law_result, ensure_ascii=False, indent=2)}
|
||||
|
||||
=== 👨🔬 技术风控节点评估 ===
|
||||
=== 技术风控节点评估 ===
|
||||
{json.dumps(tech_result, ensure_ascii=False, indent=2)}
|
||||
|
||||
=== 👔 财务风控节点评估 ===
|
||||
=== 财务风控节点评估 ===
|
||||
{json.dumps(finance_result, ensure_ascii=False, indent=2)}
|
||||
|
||||
请消解可能存在的判定冲突，输出综合裁决JSON。"""
|
||||
|
||||
+1
-1
@@ -40,7 +40,7 @@ class LawAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="法务风控节点",
|
||||
system_prompt=LAW_SYSTEM_PROMPT,
|
||||
role_icon="👩⚖️",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict) -> dict:
|
||||
|
||||
@@ -36,7 +36,7 @@ class TechAgent(BaseAgent):
|
||||
super().__init__(
|
||||
name="技术风控节点",
|
||||
system_prompt=TECH_SYSTEM_PROMPT,
|
||||
role_icon="👨🔬",
|
||||
role_icon="",
|
||||
)
|
||||
|
||||
def evaluate(self, company_data: dict) -> dict:
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🛡️ 科创企业智能风控与核保系统 - 主入口转接脚本
|
||||
自动重定向并加载 `🏠_系统首页.py`
|
||||
科创企业智能风控与核保系统 - 主入口转接脚本
|
||||
自动重定向并加载 `系统首页.py`
|
||||
"""
|
||||
import runpy
|
||||
import os
|
||||
@@ -9,5 +9,6 @@ import sys
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
home_script = os.path.join(os.path.dirname(os.path.abspath(__file__)), "🏠_系统首页.py")
|
||||
home_script = os.path.join(os.path.dirname(os.path.abspath(__file__)), "系统首页.py")
|
||||
runpy.run_path(home_script, run_name="__main__")
|
||||
|
||||
|
||||
@@ -76,6 +76,7 @@ INSURANCE_PRODUCTS = {
|
||||
# ============================================================
|
||||
# Streamlit 页面配置
|
||||
# ============================================================
|
||||
PAGE_TITLE = "🛡️ 科创企业智能风控与核保系统"
|
||||
PAGE_ICON = "🛡️"
|
||||
PAGE_TITLE = "科创企业智能风控与核保系统"
|
||||
PAGE_ICON = None
|
||||
LAYOUT = "wide"
|
||||
|
||||
|
||||
+16
-14
@@ -18,9 +18,9 @@ LOCAL_BASE = r"d:\code\XH-202626_科创企业特有风险的识别与管理"
|
||||
ARCHIVE_NAME = os.path.join(LOCAL_BASE, "deploy_package.tar.gz")
|
||||
|
||||
def make_archive():
|
||||
print("📦 正在打部署压缩包...")
|
||||
print("[打包] 正在打部署压缩包...")
|
||||
includes = [
|
||||
"🏠_系统首页.py",
|
||||
"系统首页.py",
|
||||
"app.py",
|
||||
"config.py",
|
||||
"requirements.txt",
|
||||
@@ -43,10 +43,10 @@ def make_archive():
|
||||
tar.add(full_path, arcname=item)
|
||||
else:
|
||||
print(f" - 跳过(不存在): {item}")
|
||||
print(f"✅ 压缩完成: {ARCHIVE_NAME}")
|
||||
print(f"[打包] 压缩完成: {ARCHIVE_NAME}")
|
||||
|
||||
def run_remote_cmd(ssh, cmd):
|
||||
print(f"\n🚀 [远程命令] {cmd}")
|
||||
print(f"\n[远程命令] {cmd}")
|
||||
stdin, stdout, stderr = ssh.exec_command(cmd)
|
||||
out = stdout.read().decode('utf-8', errors='ignore')
|
||||
err = stderr.read().decode('utf-8', errors='ignore')
|
||||
@@ -59,26 +59,27 @@ def run_remote_cmd(ssh, cmd):
|
||||
def deploy():
|
||||
make_archive()
|
||||
|
||||
print(f"\n🔌 正在连接服务器 {SERVER_IP}...")
|
||||
print(f"\n[连接] 正在连接服务器 {SERVER_IP}...")
|
||||
ssh = paramiko.SSHClient()
|
||||
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
|
||||
try:
|
||||
ssh.connect(SERVER_IP, port=SSH_PORT, username=SSH_USER, password=SSH_PASS, timeout=15)
|
||||
print("✅ SSH 连接成功！")
|
||||
print("[连接] SSH 连接成功")
|
||||
except Exception as e:
|
||||
print(f"❌ SSH 连接失败: {e}")
|
||||
print(f"[错误] SSH 连接失败: {e}")
|
||||
return
|
||||
|
||||
sftp = ssh.open_sftp()
|
||||
|
||||
# 1. 创建远程目录
|
||||
# 1. 创建远程目录并清理旧的带有 emoji 的文件
|
||||
run_remote_cmd(ssh, f"mkdir -p {REMOTE_DIR}")
|
||||
run_remote_cmd(ssh, f"rm -rf {REMOTE_DIR}/pages/* {REMOTE_DIR}/*系统首页*.py")
|
||||
|
||||
# 2. 上传压缩包
|
||||
remote_archive = f"{REMOTE_DIR}/deploy_package.tar.gz"
|
||||
print(f"📤 正在上传压缩包到 {remote_archive}...")
|
||||
print(f"[上传] 正在上传压缩包到 {remote_archive}...")
|
||||
sftp.put(ARCHIVE_NAME, remote_archive)
|
||||
print("✅ 压缩包上传成功！")
|
||||
print("[上传] 压缩包上传成功")
|
||||
sftp.close()
|
||||
|
||||
# 3. 解压并配置 Python 环境与依赖
|
||||
@@ -112,7 +113,7 @@ After=network.target
|
||||
[Service]
|
||||
User=root
|
||||
WorkingDirectory={REMOTE_DIR}
|
||||
ExecStart={REMOTE_DIR}/venv/bin/streamlit run {REMOTE_DIR}/🏠_系统首页.py --server.port 8501 --server.address 127.0.0.1 --server.headless true --server.enableCORS false --server.enableXsrfProtection false
|
||||
ExecStart={REMOTE_DIR}/venv/bin/streamlit run {REMOTE_DIR}/系统首页.py --server.port 8501 --server.address 127.0.0.1 --server.headless true --server.enableCORS false --server.enableXsrfProtection false
|
||||
Restart=always
|
||||
RestartSec=5
|
||||
|
||||
@@ -167,9 +168,10 @@ WantedBy=multi-user.target
|
||||
run_remote_cmd(ssh, f"curl -H 'Host: {DOMAIN}' -I http://127.0.0.1/")
|
||||
|
||||
ssh.close()
|
||||
print("\n🎉 部署完成！")
|
||||
print(f"🌐 域名访问地址: http://{DOMAIN}")
|
||||
print(f"🖥️ 服务器 IP 直连防护端口验证: http://{SERVER_IP}")
|
||||
print("\n[完成] 部署完成！")
|
||||
print(f"[访问] 域名访问地址: http://{DOMAIN}")
|
||||
print(f"[验证] 服务器 IP 直连防护端口验证: http://{SERVER_IP}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
deploy()
|
||||
|
||||
|
||||
@@ -94,7 +94,7 @@ def generate_interactive_graph(
|
||||
label = node.split("@")[0] if "@" in node else node
|
||||
title_parts = [f"<b>{label}</b>", f"类型: {node_type}"]
|
||||
if data.get("is_sanctioned"):
|
||||
title_parts.append("⚠️ <b>已被制裁</b>")
|
||||
title_parts.append("<b>[已被制裁]</b>")
|
||||
if data.get("stock_code"):
|
||||
title_parts.append(f"代码: {data['stock_code']}")
|
||||
if data.get("industry"):
|
||||
@@ -157,7 +157,7 @@ def _generate_fallback_html(G: nx.DiGraph) -> str:
|
||||
|
||||
return f"""
|
||||
<html><body style='background: #1a1a2e; color: white; padding: 20px;'>
|
||||
<h2>📊 知识图谱节点列表（pyvis 未安装，使用简化视图）</h2>
|
||||
<h2>知识图谱节点列表（pyvis 未安装，使用简化视图）</h2>
|
||||
<p>节点数: {G.number_of_nodes()} | 边数: {G.number_of_edges()}</p>
|
||||
<ul>{''.join(nodes_info[:50])}</ul>
|
||||
<p style='color: #888;'>安装 pyvis 以获得交互式可视化: pip install pyvis</p>
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
📊 企业风险概览页面
|
||||
企业风险概览页面
|
||||
选择企业 → 六维风险雷达图 + 关键指标卡片 + 详细财务数据
|
||||
"""
|
||||
import sys
|
||||
@@ -16,17 +16,17 @@ from risk_engine.risk_scorer import calculate_six_dimension_scores, get_risk_lev
|
||||
|
||||
from utils.session_helper import render_company_selector, render_sidebar_global_company_selector
|
||||
|
||||
st.set_page_config(page_title="企业风险概览", page_icon="📊", layout="wide")
|
||||
st.set_page_config(page_title="企业风险概览", layout="wide")
|
||||
|
||||
with st.sidebar:
|
||||
render_sidebar_global_company_selector()
|
||||
st.markdown("---")
|
||||
|
||||
st.markdown("# 📊 企业风险概览")
|
||||
st.markdown("# 企业风险概览")
|
||||
st.markdown("选择一家科创企业，查看其六维风险画像和关键指标。")
|
||||
|
||||
# 企业选择（全局同步）
|
||||
company = render_company_selector("🏢 选择目标企业", key_suffix="overview_page")
|
||||
company = render_company_selector("选择目标企业", key_suffix="overview_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
if company:
|
||||
@@ -47,10 +47,10 @@ if company:
|
||||
st.markdown(f"**简介**: {company['description']}")
|
||||
|
||||
# 核心人员
|
||||
st.markdown("#### 👤 核心技术人员")
|
||||
st.markdown("#### 核心技术人员")
|
||||
for p in company.get("core_tech_personnel", []):
|
||||
status_emoji = "✅" if "在职" in p["status"] else "⚠️"
|
||||
st.markdown(f"- {status_emoji} **{p['name']}** ({p['title']}) - 重要性: {p['importance']} - 状态: {p['status']}")
|
||||
status_tag = "[在职]" if "在职" in p["status"] else "[离职预警]"
|
||||
st.markdown(f"- {status_tag} **{p['name']}** ({p['title']}) - 重要性: {p['importance']} - 状态: {p['status']}")
|
||||
|
||||
with col2:
|
||||
# 综合风险仪表盘
|
||||
@@ -83,7 +83,7 @@ if company:
|
||||
)
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
st.markdown(f"<div style='text-align:center; font-size:1.2em;'>"
|
||||
f"{level_info['emoji']} 风险等级: <b>{level_info['level']}</b></div>",
|
||||
f"风险等级: <b>{level_info['level']}</b></div>",
|
||||
unsafe_allow_html=True)
|
||||
|
||||
st.markdown("---")
|
||||
@@ -94,7 +94,7 @@ if company:
|
||||
col_radar, col_detail = st.columns([1, 1])
|
||||
|
||||
with col_radar:
|
||||
st.markdown("#### 🎯 六维风险雷达图")
|
||||
st.markdown("#### 六维风险雷达图")
|
||||
|
||||
dim_names_cn = ["技术路线颠覆", "核心人员流失", "算法/数据合规",
|
||||
"地缘政治/出口管制", "研发资本化操纵", "客户/供应商集中"]
|
||||
@@ -137,18 +137,17 @@ if company:
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
|
||||
with col_detail:
|
||||
st.markdown("#### 📋 各维度风险详情")
|
||||
st.markdown("#### 各维度风险详情")
|
||||
for k in dim_keys:
|
||||
detail = risk_result["dimension_details"][k]
|
||||
score = detail["score"]
|
||||
level = detail["level"]
|
||||
emoji = level["emoji"]
|
||||
color = level["color"]
|
||||
|
||||
st.markdown(
|
||||
f"<div style='background:{color}22; padding:10px; border-radius:8px; "
|
||||
f"margin:5px 0; border-left:4px solid {color};'>"
|
||||
f"<b>{emoji} {detail['name']}</b>: {score}分 ({level['level']})</div>",
|
||||
f"<b>{detail['name']}</b>: {score}分 ({level['level']})</div>",
|
||||
unsafe_allow_html=True,
|
||||
)
|
||||
|
||||
@@ -157,7 +156,7 @@ if company:
|
||||
# ============================================================
|
||||
# 关键财务指标
|
||||
# ============================================================
|
||||
st.markdown("#### 💰 关键财务指标")
|
||||
st.markdown("#### 关键财务指标")
|
||||
fin = company.get("financials", {})
|
||||
|
||||
col_f1, col_f2, col_f3, col_f4 = st.columns(4)
|
||||
@@ -175,7 +174,7 @@ if company:
|
||||
with col_f4:
|
||||
cap_rate = fin.get("rd_capitalization_rate", 0)
|
||||
st.metric("研发资本化率", f"{cap_rate:.0%}",
|
||||
delta="⚠️ 偏高" if cap_rate > 0.3 else "正常",
|
||||
delta="偏高" if cap_rate > 0.3 else "正常",
|
||||
delta_color="inverse" if cap_rate > 0.3 else "normal")
|
||||
|
||||
col_f5, col_f6, col_f7, col_f8 = st.columns(4)
|
||||
@@ -195,25 +194,25 @@ if company:
|
||||
col_tech, col_comp = st.columns(2)
|
||||
|
||||
with col_tech:
|
||||
st.markdown("#### 🔬 技术路线")
|
||||
st.markdown("#### 技术路线")
|
||||
tech = company.get("tech_route", {})
|
||||
st.markdown(f"**当前技术**: {tech.get('current_tech', '未知')}")
|
||||
st.markdown(f"**技术壁垒**: {tech.get('tech_moat', '未知')}")
|
||||
st.markdown(f"**专利数量**: {tech.get('patent_count', 0)} 件")
|
||||
st.markdown("**竞争技术路线**:")
|
||||
for ct in tech.get("competing_techs", []):
|
||||
st.markdown(f" - ⚔️ {ct}")
|
||||
st.markdown(f" - • {ct}")
|
||||
|
||||
with col_comp:
|
||||
st.markdown("#### 📋 合规状态")
|
||||
st.markdown("#### 合规状态")
|
||||
comp_info = company.get("compliance", {})
|
||||
st.markdown(f"**算法备案**: {comp_info.get('algo_filing_status', '未知')}")
|
||||
st.markdown(f"**数据出境风险**: {comp_info.get('data_export_risk', '未知')}")
|
||||
|
||||
entity_status = comp_info.get("entity_list_status", "未知")
|
||||
if "被列入" in entity_status:
|
||||
st.error(f"⛔ 实体清单: {entity_status}")
|
||||
st.error(f"[实体清单受限] {entity_status}")
|
||||
if comp_info.get("sanctions_detail"):
|
||||
st.warning(f"制裁详情: {comp_info['sanctions_detail']}")
|
||||
else:
|
||||
st.success(f"✅ 实体清单: {entity_status}")
|
||||
st.success(f"[合规] {entity_status}")
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🕸️ 供应链知识图谱页面
|
||||
供应链知识图谱页面
|
||||
交互式图谱展示 + 供应链风险传染路径 + 实体清单命中标记
|
||||
"""
|
||||
import sys
|
||||
@@ -18,9 +18,9 @@ from knowledge_graph.graph_visualizer import (
|
||||
get_subgraph_for_company,
|
||||
)
|
||||
|
||||
st.set_page_config(page_title="供应链知识图谱", page_icon="🕸️", layout="wide")
|
||||
st.set_page_config(page_title="供应链知识图谱", layout="wide")
|
||||
|
||||
st.markdown("# 🕸️ 供应链风险传染知识图谱")
|
||||
st.markdown("# 供应链风险传染知识图谱")
|
||||
st.markdown("可视化科创企业供应链网络，识别风险传染路径和关键断裂节点。")
|
||||
|
||||
# 构建图谱
|
||||
@@ -36,16 +36,16 @@ stats = get_graph_stats(G)
|
||||
# ============================================================
|
||||
col1, col2, col3, col4 = st.columns(4)
|
||||
with col1:
|
||||
st.metric("📌 总节点数", stats["total_nodes"])
|
||||
st.metric("总节点数", stats["total_nodes"])
|
||||
with col2:
|
||||
st.metric("🔗 总边数", stats["total_edges"])
|
||||
st.metric("总边数", stats["total_edges"])
|
||||
with col3:
|
||||
st.metric("⛔ 受制裁节点", stats["sanctioned_nodes"])
|
||||
st.metric("受制裁节点", stats["sanctioned_nodes"])
|
||||
with col4:
|
||||
st.metric("🔀 图密度", f"{stats['density']:.4f}")
|
||||
st.metric("图密度", f"{stats['density']:.4f}")
|
||||
|
||||
# 节点类型分布
|
||||
with st.expander("📊 节点类型分布"):
|
||||
with st.expander("节点类型分布"):
|
||||
for ntype, count in stats["node_types"].items():
|
||||
st.markdown(f"- **{ntype}**: {count} 个")
|
||||
|
||||
@@ -55,7 +55,7 @@ st.markdown("---")
|
||||
# 图谱视图选择
|
||||
# ============================================================
|
||||
view_mode = st.radio(
|
||||
"🔍 视图模式",
|
||||
"视图模式",
|
||||
["全局图谱", "企业中心视图（推荐）"],
|
||||
horizontal=True,
|
||||
)
|
||||
@@ -67,7 +67,7 @@ with st.sidebar:
|
||||
st.markdown("---")
|
||||
|
||||
if view_mode == "企业中心视图（推荐）":
|
||||
target_company = render_company_selector("🏢 选择中心企业", key_suffix="graph_page")
|
||||
target_company = render_company_selector("选择中心企业", key_suffix="graph_page")
|
||||
selected_company = target_company["short_name"] if target_company else "寒武纪"
|
||||
|
||||
depth = st.slider("穿透深度", 1, 3, 2)
|
||||
@@ -87,50 +87,50 @@ if view_mode == "企业中心视图（推荐）":
|
||||
# 供应链风险传染分析
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown(f"### ⚠️ {selected_company} 供应链风险传染分析")
|
||||
st.markdown(f"### {selected_company} 供应链风险传染分析")
|
||||
|
||||
contagion = analyze_contagion(G, selected_company)
|
||||
|
||||
# 风险评分
|
||||
supply_risk_score = contagion.get("risk_score", 0)
|
||||
if supply_risk_score >= 60:
|
||||
st.error(f"🔴 供应链风险评分: **{supply_risk_score}/100** — 供应链断裂风险极高")
|
||||
st.error(f"供应链风险评分: **{supply_risk_score}/100** — 供应链断裂风险极高")
|
||||
elif supply_risk_score >= 30:
|
||||
st.warning(f"🟡 供应链风险评分: **{supply_risk_score}/100** — 存在一定供应链风险")
|
||||
st.warning(f"供应链风险评分: **{supply_risk_score}/100** — 存在一定供应链风险")
|
||||
else:
|
||||
st.success(f"🟢 供应链风险评分: **{supply_risk_score}/100** — 供应链风险可控")
|
||||
st.success(f"供应链风险评分: **{supply_risk_score}/100** — 供应链风险可控")
|
||||
|
||||
# 直接风险
|
||||
if contagion.get("direct_risks"):
|
||||
st.markdown("#### 🔴 直接风险（一度关联）")
|
||||
st.markdown("#### 直接风险（一度关联）")
|
||||
for risk in contagion["direct_risks"]:
|
||||
icon = "⛔" if risk.get("status") == "受限" else "⚠️"
|
||||
status_tag = "[受限]" if risk.get("status") == "受限" else "[关注]"
|
||||
critical_tag = " [关键供应]" if risk.get("is_critical") else ""
|
||||
st.markdown(
|
||||
f"- {icon} **{risk['entity']}** ({risk['node_type']}) — "
|
||||
f"{risk['relation']} — 状态: {risk.get('status', '未知')} "
|
||||
f"{'🔑 关键供应' if risk.get('is_critical') else ''}"
|
||||
f"- {status_tag} **{risk['entity']}** ({risk['node_type']}) — "
|
||||
f"{risk['relation']} — 状态: {risk.get('status', '未知')}{critical_tag}"
|
||||
)
|
||||
|
||||
# 间接风险
|
||||
if contagion.get("indirect_risks"):
|
||||
st.markdown("#### 🟡 间接风险（二度及以上关联）")
|
||||
st.markdown("#### 间接风险（二度及以上关联）")
|
||||
for risk in contagion["indirect_risks"]:
|
||||
st.markdown(
|
||||
f"- ⚠️ **{risk['entity']}** (距离: {risk['distance']}层) — {risk['relation']}"
|
||||
f"- [间接传导] **{risk['entity']}** (距离: {risk['distance']}层) — {risk['relation']}"
|
||||
)
|
||||
|
||||
# 传染路径
|
||||
if contagion.get("contagion_paths"):
|
||||
st.markdown("#### 🔗 风险传染路径")
|
||||
st.markdown("#### 风险传染路径")
|
||||
for path in contagion["contagion_paths"]:
|
||||
severity_icon = "🔴" if path["severity"] == "高" else "🟡"
|
||||
st.markdown(f"- {severity_icon} `{path['path_str']}` (长度: {path['length']})")
|
||||
severity_tag = "[高风险]" if path["severity"] == "高" else "[中风险]"
|
||||
st.markdown(f"- {severity_tag} `{path['path_str']}` (长度: {path['length']})")
|
||||
|
||||
# 关键断裂节点
|
||||
if contagion.get("critical_nodes"):
|
||||
st.markdown("#### 🔑 关键断裂节点")
|
||||
st.markdown("#### 关键断裂节点")
|
||||
for node in contagion["critical_nodes"]:
|
||||
alt_info = f"✅ 有{node['alternative_count']}个替代" if node["has_alternative"] else "❌ 无替代方案"
|
||||
alt_info = f"有 {node['alternative_count']} 个替代方案" if node["has_alternative"] else "无替代方案"
|
||||
st.markdown(
|
||||
f"- **{node['node']}** — {node['relation']} — "
|
||||
f"状态: {node['status']} — {alt_info}"
|
||||
@@ -140,7 +140,7 @@ if view_mode == "企业中心视图（推荐）":
|
||||
|
||||
else:
|
||||
# 全局视图
|
||||
st.info("💡 全局图谱节点较多，加载可能需要几秒钟。推荐使用“企业中心视图”获得更好的体验。")
|
||||
st.info("全局图谱节点较多，加载可能需要几秒钟。推荐使用“企业中心视图”获得更好的体验。")
|
||||
html_content = generate_interactive_graph(G, height="650px")
|
||||
components.html(html_content, height=700, scrolling=True)
|
||||
|
||||
@@ -148,17 +148,17 @@ else:
|
||||
# 图例
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("#### 🎨 图例说明")
|
||||
st.markdown("#### 图例说明")
|
||||
col_l1, col_l2, col_l3 = st.columns(3)
|
||||
with col_l1:
|
||||
st.markdown("""
|
||||
**节点颜色**
|
||||
- 🟢 绿色: 科创企业 (正常)
|
||||
- 🟡 金色: 选中的中心企业
|
||||
- 🟠 橙色: 供应商
|
||||
- 🟣 紫色: 客户
|
||||
- 🔵 蓝色: 核心人员
|
||||
- 🔴 红色: 受制裁实体
|
||||
- 绿色: 科创企业 (正常)
|
||||
- 金色: 选中的中心企业
|
||||
- 橙色: 供应商
|
||||
- 紫色: 客户
|
||||
- 蓝色: 核心人员
|
||||
- 红色: 受制裁实体
|
||||
""")
|
||||
with col_l2:
|
||||
st.markdown("""
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
⚖️ 多智能体辩论诊断页面 (Premium Financial-Grade Design)
|
||||
多智能体辩论诊断页面 (Premium Financial-Grade Design)
|
||||
选择企业 → 真实 Token 级打字机流式推演 → 三方交叉质证 → 综合裁决与核保看板
|
||||
使用 Glassmorphism 玻璃拟态 + 暗黑金融科技 CSS 调色盘
|
||||
"""
|
||||
@@ -15,7 +15,7 @@ import time
|
||||
from collectors.financial_collector import get_all_companies, get_company_by_code
|
||||
from agents.debate_engine import DebateEngine
|
||||
|
||||
st.set_page_config(page_title="多智能体辩论诊断", page_icon="⚖️", layout="wide")
|
||||
st.set_page_config(page_title="多智能体辩论诊断", layout="wide")
|
||||
|
||||
# ============================================================
|
||||
# 自定义 UI 视觉增强样式 (CSS 注入)
|
||||
@@ -111,7 +111,7 @@ st.markdown("""
|
||||
.pill-med { background: rgba(255, 152, 0, 0.2); color: #ffb74d; border: 1px solid rgba(255, 152, 0, 0.4); }
|
||||
.pill-low { background: rgba(76, 175, 80, 0.2); color: #81c784; border: 1px solid rgba(76, 175, 80, 0.4); }
|
||||
|
||||
/* 模拟黑客流式终端 (Terminal Box) */
|
||||
/* 终端样式 */
|
||||
.terminal-box {
|
||||
background: #0B0E14;
|
||||
border: 1px solid #1E293B;
|
||||
@@ -160,17 +160,16 @@ st.markdown("""
|
||||
st.markdown("""
|
||||
<div class="hero-banner">
|
||||
<div class="hero-title">
|
||||
<span>⚖️</span>
|
||||
<span>多智能体交叉验证辩论诊断</span>
|
||||
</div>
|
||||
<div class="hero-subtitle">
|
||||
基于 Multi-Agent 辩论图谱 · 法务 / 技术 / 财务专家分布式研判 · 全过程打字机流式追溯
|
||||
基于 Multi-Agent 辩论图谱 · 法务 / 技术 / 财务专家分布式研判 · 全过程流式追溯
|
||||
</div>
|
||||
<div class="step-badge-container">
|
||||
<span class="step-badge step-badge-active">Phase 1: 独立穿透研判</span>
|
||||
<span class="step-badge">Phase 2: 三方交叉质证</span>
|
||||
<span class="step-badge">Phase 3: 委员会综合裁决</span>
|
||||
<span class="step-badge">🛡️ 保险精算核保建议</span>
|
||||
<span class="step-badge">保险精算核保建议</span>
|
||||
</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
@@ -183,7 +182,7 @@ with st.sidebar:
|
||||
|
||||
col_ctrl1, col_ctrl2 = st.columns([3, 1])
|
||||
with col_ctrl1:
|
||||
company = render_company_selector("🏢 选择待诊断科创企业", key_suffix="debate_page")
|
||||
company = render_company_selector("选择待诊断科创企业", key_suffix="debate_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
# 初始化 session_state
|
||||
@@ -192,7 +191,7 @@ if "debate_results" not in st.session_state:
|
||||
|
||||
with col_ctrl2:
|
||||
st.markdown("<div style='height: 28px;'></div>", unsafe_allow_html=True)
|
||||
start_btn = st.button("🚀 启动多智能体辩论", type="primary", use_container_width=True)
|
||||
start_btn = st.button("启动多智能体辩论", type="primary", use_container_width=True)
|
||||
|
||||
# ============================================================
|
||||
# 辩论触发与打字机流式渲染
|
||||
@@ -207,16 +206,16 @@ if start_btn:
|
||||
company_name = company.get("short_name", "未知")
|
||||
|
||||
st.markdown("---")
|
||||
st.markdown("### 📡 智能体实时思考与流式推演控制台 (Live Streaming Terminal)")
|
||||
progress_bar = st.progress(0, text="▶️ 正在初始化分布式智能体网络...")
|
||||
st.markdown("### 智能体实时思考与流式推演控制台 (Live Streaming Terminal)")
|
||||
progress_bar = st.progress(0, text="正在初始化分布式智能体网络...")
|
||||
|
||||
# 动态渲染控制台
|
||||
live_box = st.container(border=True)
|
||||
|
||||
def run_agent_with_typewriter(agent, agent_title, start_progress, end_progress):
|
||||
progress_bar.progress(start_progress, text=f"{agent.role_icon} {agent_title} 正在穿透企业数据并与大模型通信...")
|
||||
progress_bar.progress(start_progress, text=f"{agent_title} 正在穿透企业数据并与大模型通信...")
|
||||
with live_box:
|
||||
st.markdown(f"##### {agent.role_icon} {agent_title}")
|
||||
st.markdown(f"##### {agent_title}")
|
||||
status_placeholder = st.empty()
|
||||
thinking_placeholder = st.empty()
|
||||
content_placeholder = st.empty()
|
||||
@@ -224,13 +223,13 @@ if start_btn:
|
||||
thinking_buf = []
|
||||
content_buf = []
|
||||
|
||||
status_placeholder.info("🔗 建立 SSE 流式通信中...")
|
||||
status_placeholder.info("建立 SSE 流式通信中...")
|
||||
|
||||
def on_token(token_type: str, token_text: str):
|
||||
if token_type == "reasoning":
|
||||
thinking_buf.append(token_text)
|
||||
t_str = "".join(thinking_buf)
|
||||
status_placeholder.markdown("🧠 **[大模型深度思考中...]**")
|
||||
status_placeholder.markdown("**[大模型深度思考中...]**")
|
||||
display_text = t_str[-350:] if len(t_str) > 350 else t_str
|
||||
thinking_placeholder.markdown(
|
||||
f"""<div class="terminal-box terminal-thinking">
|
||||
@@ -241,7 +240,7 @@ if start_btn:
|
||||
elif token_type == "content":
|
||||
content_buf.append(token_text)
|
||||
c_str = "".join(content_buf)
|
||||
status_placeholder.markdown("📝 **[正在实时生成审查报告...]**")
|
||||
status_placeholder.markdown("**[正在实时生成审查报告...]**")
|
||||
display_c = c_str[-280:] if len(c_str) > 280 else c_str
|
||||
content_placeholder.markdown(
|
||||
f"""<div class="terminal-box terminal-output">
|
||||
@@ -252,8 +251,8 @@ if start_btn:
|
||||
|
||||
agent.on_token_callback = on_token
|
||||
result = agent.evaluate(company if agent != engine.judge_agent else None)
|
||||
progress_bar.progress(end_progress, text=f"✅ {agent_title} 研判完毕")
|
||||
status_placeholder.success(f"✅ {agent_title} 完成风险评级")
|
||||
progress_bar.progress(end_progress, text=f"{agent_title} 研判完毕")
|
||||
status_placeholder.success(f"{agent_title} 完成风险评级")
|
||||
return result, list(agent.reasoning_trace)
|
||||
|
||||
# 1. 法务 Agent
|
||||
@@ -266,13 +265,13 @@ if start_btn:
|
||||
finance_result, finance_trace = run_agent_with_typewriter(engine.finance_agent, "财务风控节点", 60, 85)
|
||||
|
||||
# 4. 交叉质证
|
||||
progress_bar.progress(88, text="🔄 正在比对三方判定结论，进行交叉质证分析...")
|
||||
progress_bar.progress(88, text="正在比对三方判定结论，进行交叉质证分析...")
|
||||
conflicts = engine._identify_conflicts(law_result, tech_result, finance_result)
|
||||
|
||||
# 5. 综合裁决 Agent
|
||||
progress_bar.progress(92, text="⚖️ 综合裁决委员会进行权重复核...")
|
||||
progress_bar.progress(92, text="综合裁决委员会进行权重复核...")
|
||||
with live_box:
|
||||
st.markdown("##### ⚖️ 综合裁决节点")
|
||||
st.markdown("##### 综合裁决节点")
|
||||
j_status = st.empty()
|
||||
j_thinking = st.empty()
|
||||
j_content = st.empty()
|
||||
@@ -280,13 +279,13 @@ if start_btn:
|
||||
j_think_buf = []
|
||||
j_cont_buf = []
|
||||
|
||||
j_status.info("🚀 综合裁决委员会正在消解分歧...")
|
||||
j_status.info("综合裁决委员会正在消解分歧...")
|
||||
|
||||
def judge_on_token(token_type: str, token_text: str):
|
||||
if token_type == "reasoning":
|
||||
j_think_buf.append(token_text)
|
||||
t_str = "".join(j_think_buf)
|
||||
j_status.markdown("🧠 **[裁决委员会讨论中...]**")
|
||||
j_status.markdown("**[裁决委员会讨论中...]**")
|
||||
display_t = t_str[-350:] if len(t_str) > 350 else t_str
|
||||
j_thinking.markdown(
|
||||
f"""<div class="terminal-box terminal-thinking">
|
||||
@@ -297,7 +296,7 @@ if start_btn:
|
||||
elif token_type == "content":
|
||||
j_cont_buf.append(token_text)
|
||||
c_str = "".join(j_cont_buf)
|
||||
j_status.markdown("📝 **[生成核保决议中...]**")
|
||||
j_status.markdown("**[生成核保决议中...]**")
|
||||
display_c = c_str[-280:] if len(c_str) > 280 else c_str
|
||||
j_content.markdown(
|
||||
f"""<div class="terminal-box terminal-output">
|
||||
@@ -309,9 +308,9 @@ if start_btn:
|
||||
engine.judge_agent.on_token_callback = judge_on_token
|
||||
judge_result = engine.judge_agent.evaluate(company, law_result, tech_result, finance_result)
|
||||
judge_trace = list(engine.judge_agent.reasoning_trace)
|
||||
j_status.success("✅ 综合裁决完成")
|
||||
j_status.success("综合裁决完成")
|
||||
|
||||
progress_bar.progress(100, text="✅ 辩论诊断流程全量完成！")
|
||||
progress_bar.progress(100, text="辩论诊断流程全量完成")
|
||||
|
||||
# 持久化结果
|
||||
st.session_state["debate_results"] = {
|
||||
@@ -334,7 +333,7 @@ if start_btn:
|
||||
# ============================================================
|
||||
def render_trace_expander(trace: list, title: str):
|
||||
"""渲染研判结果对应的详细辩论链"""
|
||||
with st.expander(f"🔗 查看 【{title}】 详细辩论链与凭据 (共 {len(trace)} 步)", expanded=False):
|
||||
with st.expander(f"查看 【{title}】 详细辩论链与凭据 (共 {len(trace)} 步)", expanded=False):
|
||||
for step in trace:
|
||||
ts = step.get("timestamp", "")
|
||||
step_name = step.get("step", "")
|
||||
@@ -378,14 +377,14 @@ def render_risk_card(result: dict, keys: list, trace: list, agent_title: str, ov
|
||||
# 关键发现
|
||||
findings = result.get("key_findings", [])
|
||||
if findings:
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:12px; margin-bottom:4px;'>📌 关键风险发现:</p>", unsafe_allow_html=True)
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:12px; margin-bottom:4px;'>关键风险发现:</p>", unsafe_allow_html=True)
|
||||
for f in findings:
|
||||
st.markdown(f"<span style='font-size:0.83rem; color:#E2E8F0;'>• {f}</span>", unsafe_allow_html=True)
|
||||
|
||||
# 建议
|
||||
recs = result.get("recommendations", [])
|
||||
if recs:
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:10px; margin-bottom:4px;'>💡 专家处置建议:</p>", unsafe_allow_html=True)
|
||||
st.markdown("<p style='font-size:0.85rem; font-weight:700; color:#94A3B8; margin-top:10px; margin-bottom:4px;'>专家处置建议:</p>", unsafe_allow_html=True)
|
||||
for r in recs:
|
||||
st.markdown(f"<span style='font-size:0.83rem; color:#CBD5E1;'>• {r}</span>", unsafe_allow_html=True)
|
||||
|
||||
@@ -405,10 +404,10 @@ if res is not None:
|
||||
judge_result = res["judge_result"]
|
||||
|
||||
st.markdown("---")
|
||||
st.markdown(f"### 📊 多智能体交叉辩论诊断报告 — {company['short_name']} ({company['stock_code']})")
|
||||
st.markdown(f"### 多智能体交叉辩论诊断报告 — {company['short_name']} ({company['stock_code']})")
|
||||
|
||||
# ---- Phase 1: 三方独立研判 ----
|
||||
st.markdown("#### 📋 Phase 1: 三方专家节点穿透研判全景")
|
||||
st.markdown("#### Phase 1: 三方专家节点穿透研判全景")
|
||||
col_law, col_tech, col_fin = st.columns(3)
|
||||
|
||||
with col_law:
|
||||
@@ -416,7 +415,7 @@ if res is not None:
|
||||
law_result,
|
||||
["algo_compliance_risk", "geopolitical_risk", "data_compliance_risk", "ip_litigation_risk"],
|
||||
res.get("law_trace", []),
|
||||
"👩⚖️ 法务风控节点",
|
||||
"法务风控节点",
|
||||
"overall_law_risk",
|
||||
)
|
||||
|
||||
@@ -425,7 +424,7 @@ if res is not None:
|
||||
tech_result,
|
||||
["tech_disruption_risk", "talent_loss_risk", "patent_moat", "tech_iteration_pressure"],
|
||||
res.get("tech_trace", []),
|
||||
"👨🔬 技术风控节点",
|
||||
"技术风控节点",
|
||||
"overall_tech_risk",
|
||||
)
|
||||
|
||||
@@ -434,30 +433,30 @@ if res is not None:
|
||||
finance_result,
|
||||
["rd_capitalization_risk", "concentration_risk", "receivable_risk", "cashflow_risk"],
|
||||
res.get("finance_trace", []),
|
||||
"👔 财务风控节点",
|
||||
"财务风控节点",
|
||||
"overall_fin_risk",
|
||||
)
|
||||
|
||||
# ---- Phase 2: 交叉质证分析 ----
|
||||
st.markdown("---")
|
||||
st.markdown("#### 🔄 Phase 2: 三方交叉质证与冲突判定")
|
||||
st.markdown("#### Phase 2: 三方交叉质证与冲突判定")
|
||||
if conflicts:
|
||||
for conflict in conflicts:
|
||||
st.markdown(f"""
|
||||
<div style='background:rgba(239, 68, 68, 0.1); border:1px solid rgba(239, 68, 68, 0.3); border-radius:8px; padding:12px 16px; margin:6px 0; color:#FCA5A5;'>
|
||||
⚠️ <b>判定冲突警示</b>：{conflict}
|
||||
<b>判定冲突警示</b>：{conflict}
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
else:
|
||||
st.markdown("""
|
||||
<div style='background:rgba(16, 185, 129, 0.1); border:1px solid rgba(16, 185, 129, 0.3); border-radius:8px; padding:12px 16px; color:#6EE7B7;'>
|
||||
✅ <b>一致性确认</b>：法务、技术、财务三方判定逻辑高度契合，无重大矛盾分歧。
|
||||
<b>一致性确认</b>：法务、技术、财务三方判定逻辑高度契合，无重大矛盾分歧。
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
# ---- Phase 3: 综合裁决与保险核保 ----
|
||||
st.markdown("---")
|
||||
st.markdown("#### ⚖️ Phase 3: 风险委员会综合裁决与核保决策")
|
||||
st.markdown("#### Phase 3: 风险委员会综合裁决与核保决策")
|
||||
|
||||
comp_score = judge_result.get("comprehensive_score", 50)
|
||||
decision = judge_result.get("underwriting_decision", "标准承保")
|
||||
@@ -514,23 +513,23 @@ if res is not None:
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
st.markdown(f"**📝 裁决终审意见**: {judge_result.get('summary', '')}")
|
||||
st.markdown(f"**裁决终审意见**: {judge_result.get('summary', '')}")
|
||||
|
||||
conditions = judge_result.get("underwriting_conditions", [])
|
||||
if conditions:
|
||||
st.markdown("**📌 保险核保附加条件**:")
|
||||
st.markdown("**保险核保附加条件**:")
|
||||
for c in conditions:
|
||||
st.markdown(f"- <span style='color:#F59E0B;'>{c}</span>", unsafe_allow_html=True)
|
||||
|
||||
# 挂载裁决节点的辩论链
|
||||
st.markdown("<br>", unsafe_allow_html=True)
|
||||
render_trace_expander(res.get("judge_trace", []), "⚖️ 综合裁决委员会")
|
||||
render_trace_expander(res.get("judge_trace", []), "综合裁决委员会")
|
||||
|
||||
else:
|
||||
# 默认引导说明
|
||||
st.markdown("""
|
||||
<div style='background:rgba(255,255,255,0.02); border:1px solid rgba(255,255,255,0.08); border-radius:12px; padding:24px; margin-top:20px;'>
|
||||
<h4 style='color:#F8FAFC; margin-top:0;'>💡 多智能体辩论与风险识别流程说明</h4>
|
||||
<h4 style='color:#F8FAFC; margin-top:0;'>多智能体辩论与风险识别流程说明</h4>
|
||||
<ol style='color:#94A3B8; line-height:1.8;'>
|
||||
<li><b>Phase 1 - 三方穿透研判</b>: 法务风控节点审查算法与出口管制、技术风控节点审查路线与人员、财务风控节点穿透资本化与集中度。</li>
|
||||
<li><b>Phase 2 - 交叉质证分析</b>: 识别法务、技术、财务意见间的潜在分歧（如：研发投入大 vs 资本化美化利润）。</li>
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
💰 动态定价与核保页面
|
||||
动态定价与核保页面
|
||||
保险产品选择 → 费率计算器 → 核保报告生成
|
||||
"""
|
||||
import sys
|
||||
@@ -19,9 +19,9 @@ from risk_engine.dynamic_pricing import (
|
||||
from risk_engine.report_generator import generate_report, format_report_markdown
|
||||
from config import INSURANCE_PRODUCTS
|
||||
|
||||
st.set_page_config(page_title="动态定价与核保", page_icon="💰", layout="wide")
|
||||
st.set_page_config(page_title="动态定价与核保", layout="wide")
|
||||
|
||||
st.markdown("# 💰 科创特有风险综合险 · 动态定价引擎")
|
||||
st.markdown("# 科创特有风险综合险 · 动态定价引擎")
|
||||
st.markdown("基于六维风险评分的“千企千面”精准核保与定价。")
|
||||
|
||||
from utils.session_helper import render_company_selector, render_sidebar_global_company_selector
|
||||
@@ -31,7 +31,7 @@ with st.sidebar:
|
||||
st.markdown("---")
|
||||
|
||||
# 企业选择（全局同步）
|
||||
company = render_company_selector("🏢 选择目标企业", key_suffix="pricing_page")
|
||||
company = render_company_selector("选择目标企业", key_suffix="pricing_page")
|
||||
stock_code = company["stock_code"] if company else "688256"
|
||||
|
||||
if company:
|
||||
@@ -63,7 +63,7 @@ if company:
|
||||
f"<div style='background:{color}22; padding:20px; border-radius:12px; text-align:center; "
|
||||
f"border:2px solid {color};'>"
|
||||
f"<div style='font-size:2.5em; font-weight:bold; color:{color};'>{comprehensive}</div>"
|
||||
f"<div style='color:{color};'>综合风险评分 {level_info['emoji']} {level_info['level']}</div>"
|
||||
f"<div style='color:{color};'>综合风险评分: {level_info['level']}</div>"
|
||||
f"</div>",
|
||||
unsafe_allow_html=True,
|
||||
)
|
||||
@@ -73,7 +73,7 @@ if company:
|
||||
# ============================================================
|
||||
# 保险产品费率计算
|
||||
# ============================================================
|
||||
st.markdown("### 📊 保险产品费率方案")
|
||||
st.markdown("### 保险产品费率方案")
|
||||
|
||||
pricing_results = calculate_all_products(
|
||||
comprehensive, scores, sector, revenue
|
||||
@@ -108,20 +108,20 @@ if company:
|
||||
st.metric("保额", f"¥{pricing['adjusted_coverage']:,.0f}")
|
||||
st.metric("免赔率", f"{pricing['deductible_rate']:.0%}")
|
||||
|
||||
with st.expander("📐 定价明细"):
|
||||
with st.expander("定价明细"):
|
||||
st.markdown(f"- 风险系数: {pricing['risk_multiplier']:.3f}")
|
||||
st.markdown(f"- 行业调整: {pricing['industry_factor']:.3f}")
|
||||
st.markdown(f"- 规模折扣: {pricing['scale_factor']:.3f}")
|
||||
st.markdown(f"- 维度调整: {pricing['dimension_adjustment']:.3f}")
|
||||
st.markdown(f"- **计算公式**: {pricing['pricing_breakdown']}")
|
||||
else:
|
||||
st.error("⛔ 风险过高，建议拒保")
|
||||
st.error("风险过高，建议拒保")
|
||||
|
||||
# ============================================================
|
||||
# 费率对比图
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("### 📈 费率构成分析")
|
||||
st.markdown("### 费率构成分析")
|
||||
|
||||
col_chart1, col_chart2 = st.columns(2)
|
||||
|
||||
@@ -155,7 +155,7 @@ if company:
|
||||
])
|
||||
fig.update_layout(
|
||||
title=dict(
|
||||
text="<b>📊 基础保费 vs 调整后保费对比</b>",
|
||||
text="<b>基础保费 vs 调整后保费对比</b>",
|
||||
font=dict(size=15, color="#F8FAFC"),
|
||||
x=0.02,
|
||||
y=0.96
|
||||
@@ -212,7 +212,7 @@ if company:
|
||||
))
|
||||
fig2.update_layout(
|
||||
title=dict(
|
||||
text=f"<b>📉 {p['product_name']} — 定价因子分解</b>",
|
||||
text=f"<b>{p['product_name']} — 定价因子分解</b>",
|
||||
font=dict(size=15, color="#F8FAFC"),
|
||||
x=0.02,
|
||||
y=0.96
|
||||
@@ -231,7 +231,7 @@ if company:
|
||||
# 核保报告生成
|
||||
# ============================================================
|
||||
st.markdown("---")
|
||||
st.markdown("### 📋 核保决策报告")
|
||||
st.markdown("### 核保决策报告")
|
||||
|
||||
# 检查 session_state 中是否有该企业的真实大模型辩论结果
|
||||
has_real_debate = False
|
||||
@@ -239,11 +239,11 @@ if company:
|
||||
|
||||
if debate_res_in_session and debate_res_in_session.get("company", {}).get("stock_code") == stock_code:
|
||||
has_real_debate = True
|
||||
st.success("🤖 **已成功链接页面 3 的【大模型多智能体辩论】真实研判与穿透凭据！**")
|
||||
st.success("**已成功链接多智能体辩论真实研判与穿透凭据**")
|
||||
else:
|
||||
st.info("💡 **提示**：建议先至 **【⚖️ 多智能体辩论诊断】** 页面为该企业发起大模型辩论，本报告将自动整合最深度的 AI 审查凭据。")
|
||||
st.info("**提示**：建议先至【多智能体辩论诊断】页面为该企业发起辩论评估，本报告将自动整合深度审查凭据。")
|
||||
|
||||
if st.button("📄 生成完整核保报告", type="primary", use_container_width=True):
|
||||
if st.button("生成完整核保报告", type="primary", use_container_width=True):
|
||||
if has_real_debate:
|
||||
debate_result = debate_res_in_session
|
||||
else:
|
||||
@@ -275,7 +275,7 @@ if company:
|
||||
|
||||
# 下载按钮
|
||||
st.download_button(
|
||||
label="📥 下载核保报告 (Markdown 格式)",
|
||||
label="下载核保报告 (Markdown 格式)",
|
||||
data=markdown_report,
|
||||
file_name=f"核保报告_{company['short_name']}_{report['report_id']}.md",
|
||||
mime="text/markdown",
|
||||
@@ -100,20 +100,20 @@ def format_report_markdown(report: dict) -> str:
|
||||
debate = report["debate_summary"]
|
||||
lines.append("\n## 三、多智能体交叉验证摘要")
|
||||
|
||||
lines.append("\n### 👩⚖️ 法务风控节点")
|
||||
lines.append("\n### 法务风控节点")
|
||||
for f in debate.get("law_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
lines.append("\n### 👨🔬 技术风控节点")
|
||||
lines.append("\n### 技术风控节点")
|
||||
for f in debate.get("tech_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
lines.append("\n### 👔 财务风控节点")
|
||||
lines.append("\n### 财务风控节点")
|
||||
for f in debate.get("fin_findings", []):
|
||||
lines.append(f"- {f}")
|
||||
|
||||
if debate.get("conflicts"):
|
||||
lines.append("\n### ⚠️ 冲突点")
|
||||
lines.append("\n### 冲突点分析")
|
||||
for c in debate["conflicts"]:
|
||||
lines.append(f"- {c}")
|
||||
|
||||
|
||||
@@ -11,11 +11,11 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
# 风险等级映射
|
||||
RISK_LEVELS = {
|
||||
(0, 30): {"level": "低", "color": "#4CAF50", "emoji": "🟢"},
|
||||
(30, 50): {"level": "中低", "color": "#8BC34A", "emoji": "🟡"},
|
||||
(50, 70): {"level": "中高", "color": "#FF9800", "emoji": "🟠"},
|
||||
(70, 90): {"level": "高", "color": "#F44336", "emoji": "🔴"},
|
||||
(90, 101): {"level": "极高", "color": "#B71C1C", "emoji": "⛔"},
|
||||
(0, 30): {"level": "低", "color": "#4CAF50", "emoji": ""},
|
||||
(30, 50): {"level": "中低", "color": "#8BC34A", "emoji": ""},
|
||||
(50, 70): {"level": "中高", "color": "#FF9800", "emoji": ""},
|
||||
(70, 90): {"level": "高", "color": "#F44336", "emoji": ""},
|
||||
(90, 101): {"level": "极高", "color": "#B71C1C", "emoji": ""},
|
||||
}
|
||||
|
||||
|
||||
@@ -24,7 +24,7 @@ def get_risk_level(score: int) -> dict:
|
||||
for (low, high), info in RISK_LEVELS.items():
|
||||
if low <= score < high:
|
||||
return info
|
||||
return {"level": "未知", "color": "#9E9E9E", "emoji": "❓"}
|
||||
return {"level": "未知", "color": "#9E9E9E", "emoji": ""}
|
||||
|
||||
|
||||
def calculate_six_dimension_scores(company_data: dict) -> dict:
|
||||
|
||||
+8
-8
@@ -12,7 +12,7 @@ SSH_PASS = "sp-cc123"
|
||||
DOMAIN = "risk.aiformat.cn"
|
||||
|
||||
def run_remote_cmd(ssh, cmd):
|
||||
print(f"\n🚀 [远程命令] {cmd}")
|
||||
print(f"\n[执行] [远程命令] {cmd}")
|
||||
stdin, stdout, stderr = ssh.exec_command(cmd)
|
||||
out = stdout.read().decode('utf-8', errors='ignore')
|
||||
err = stderr.read().decode('utf-8', errors='ignore')
|
||||
@@ -23,14 +23,14 @@ def run_remote_cmd(ssh, cmd):
|
||||
return out, err
|
||||
|
||||
def setup_https():
|
||||
print(f"🔌 正在连接服务器 {SERVER_IP}...")
|
||||
print(f"[连接] 正在连接服务器 {SERVER_IP}...")
|
||||
ssh = paramiko.SSHClient()
|
||||
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
|
||||
try:
|
||||
ssh.connect(SERVER_IP, port=SSH_PORT, username=SSH_USER, password=SSH_PASS, timeout=15)
|
||||
print("✅ SSH 连接成功！")
|
||||
print("[通过] SSH 连接成功！")
|
||||
except Exception as e:
|
||||
print(f"❌ SSH 连接失败: {e}")
|
||||
print(f"[失败] SSH 连接失败: {e}")
|
||||
return
|
||||
|
||||
# 1. 安装 certbot 与 python3-certbot-nginx
|
||||
@@ -49,9 +49,9 @@ def setup_https():
|
||||
|
||||
# 检查签发是否成功
|
||||
if "Congratulations" in out or "Successfully received certificate" in out or "Certificate" in out:
|
||||
print("🎉 Let's Encrypt SSL 证书签发并自动配置成功！")
|
||||
print("[成功] Let's Encrypt SSL 证书签发并自动配置成功！")
|
||||
else:
|
||||
print("⚠️ Certbot 签发 Let's Encrypt 证书受阻，正在创建自签名 SSL 证书作为安全保障方案...")
|
||||
print("[警告] Certbot 签发 Let's Encrypt 证书受阻，正在创建自签名 SSL 证书作为安全保障方案...")
|
||||
|
||||
# 创建自签名证书放置在 /etc/ssl/risk.aiformat.cn/
|
||||
create_self_signed = f"""
|
||||
@@ -112,8 +112,8 @@ server {{
|
||||
run_remote_cmd(ssh, f"curl -k -I https://127.0.0.1/ -H 'Host: {DOMAIN}'")
|
||||
|
||||
ssh.close()
|
||||
print("\n✅ HTTPS 配置流程完成！")
|
||||
print(f"🔒 安全访问链接: https://{DOMAIN}")
|
||||
print("\n[通过] HTTPS 配置流程完成！")
|
||||
print(f"[安全] 安全访问链接: https://{DOMAIN}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
setup_https()
|
||||
|
||||
+11
-11
@@ -22,7 +22,7 @@ def test_data_layer():
|
||||
assert c is not None, "未找到寒武纪(688256)"
|
||||
print(f" 寒武纪: {c['short_name']}, 行业: {c['industry']}")
|
||||
print(f" 制裁状态: {c['compliance']['entity_list_status']}")
|
||||
print(" ✅ 数据层测试通过\n")
|
||||
print(" [通过] 数据层测试通过\n")
|
||||
|
||||
def test_entity_list():
|
||||
"""测试实体清单匹配"""
|
||||
@@ -43,7 +43,7 @@ def test_entity_list():
|
||||
suppliers = ["ASML", "东京电子", "某国内供应商"]
|
||||
sanctions = check_supply_chain_sanctions("中芯国际", suppliers)
|
||||
print(f" 供应链制裁穿透: 发现 {len(sanctions)} 个受制裁供应商")
|
||||
print(" ✅ 实体清单测试通过\n")
|
||||
print(" [通过] 实体清单测试通过\n")
|
||||
|
||||
def test_compliance():
|
||||
"""测试合规数据"""
|
||||
@@ -60,7 +60,7 @@ def test_compliance():
|
||||
company = get_company_by_code("688787") # 海天瑞声
|
||||
risk = assess_algo_compliance_risk(company)
|
||||
print(f" 海天瑞声合规风险: {risk['overall_risk_level']}")
|
||||
print(" ✅ 合规数据测试通过\n")
|
||||
print(" [通过] 合规数据测试通过\n")
|
||||
|
||||
def test_knowledge_graph():
|
||||
"""测试知识图谱"""
|
||||
@@ -77,7 +77,7 @@ def test_knowledge_graph():
|
||||
print(f" 节点类型: {stats['node_types']}")
|
||||
assert stats["total_nodes"] > 20
|
||||
assert stats["total_edges"] > 15
|
||||
print(" ✅ 知识图谱测试通过\n")
|
||||
print(" [通过] 知识图谱测试通过\n")
|
||||
|
||||
def test_contagion():
|
||||
"""测试供应链传染分析"""
|
||||
@@ -99,7 +99,7 @@ def test_contagion():
|
||||
# 海尔生物 - 应该风险较低
|
||||
result2 = analyze_contagion(G, "海尔生物")
|
||||
print(f" 海尔生物供应链风险评分: {result2['risk_score']}/100")
|
||||
print(" ✅ 传染分析测试通过\n")
|
||||
print(" [通过] 传染分析测试通过\n")
|
||||
|
||||
def test_risk_scorer():
|
||||
"""测试六维风险评分"""
|
||||
@@ -120,7 +120,7 @@ def test_risk_scorer():
|
||||
f"{s['tech_disruption']:>5} {s['talent_loss']:>5} "
|
||||
f"{s['algo_compliance']:>5} {s['geopolitical']:>5} "
|
||||
f"{s['rd_capitalization']:>5} {s['concentration']:>5}")
|
||||
print(" ✅ 风险评分测试通过\n")
|
||||
print(" [通过] 风险评分测试通过\n")
|
||||
|
||||
def test_agents():
|
||||
"""测试多智能体（规则引擎模式）"""
|
||||
@@ -152,7 +152,7 @@ def test_agents():
|
||||
print(f" 综合评分: {judge_result['comprehensive_score']}分")
|
||||
print(f" 核保决策: {judge_result['underwriting_decision']}")
|
||||
print(f" 关键风险: {judge_result['key_risks']}")
|
||||
print(" ✅ 多智能体测试通过\n")
|
||||
print(" [通过] 多智能体测试通过\n")
|
||||
|
||||
def test_dynamic_pricing():
|
||||
"""测试动态定价"""
|
||||
@@ -171,7 +171,7 @@ def test_dynamic_pricing():
|
||||
print(" 寒武纪（高风险）保费方案:")
|
||||
for r in results:
|
||||
print(f" {r['product_name']}: 基础¥{r['base_premium']:,.0f} -> 最终¥{r['final_premium']:,.0f} "
|
||||
f"(倍率{r['risk_multiplier']:.2f}) {'✅可保' if r['is_insurable'] else '❌拒保'}")
|
||||
f"(倍率{r['risk_multiplier']:.2f}) {'[通过]可保' if r['is_insurable'] else '[失败]拒保'}")
|
||||
|
||||
# 低风险企业
|
||||
scores_low = {
|
||||
@@ -184,11 +184,11 @@ def test_dynamic_pricing():
|
||||
for r in results2:
|
||||
print(f" {r['product_name']}: 基础¥{r['base_premium']:,.0f} -> 最终¥{r['final_premium']:,.0f} "
|
||||
f"(倍率{r['risk_multiplier']:.2f})")
|
||||
print(" ✅ 动态定价测试通过\n")
|
||||
print(" [通过] 动态定价测试通过\n")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("\n🛡️ 科创企业智能风控系统 - 集成测试\n")
|
||||
print("\n 科创企业智能风控系统 - 集成测试\n")
|
||||
|
||||
test_data_layer()
|
||||
test_entity_list()
|
||||
@@ -200,6 +200,6 @@ if __name__ == "__main__":
|
||||
test_dynamic_pricing()
|
||||
|
||||
print("=" * 50)
|
||||
print("🎉 所有测试通过！系统可以正常运行。")
|
||||
print("[成功] 所有测试通过！系统可以正常运行。")
|
||||
print("=" * 50)
|
||||
print("\n启动可视化系统: streamlit run app.py")
|
||||
|
||||
@@ -50,7 +50,7 @@ def set_global_company_code(code: str):
|
||||
st.session_state[GLOBAL_COMPANY_KEY] = code
|
||||
|
||||
|
||||
def render_company_selector(label: str = "🏢 选择待评估科创企业", key_suffix: str = "main"):
|
||||
def render_company_selector(label: str = "选择待评估科创企业", key_suffix: str = "main"):
|
||||
"""
|
||||
渲染与全局 session_state 双向同步的企业选择下拉框
|
||||
返回: selected_company_dict (选中的企业数据字典)
|
||||
@@ -61,7 +61,7 @@ def render_company_selector(label: str = "🏢 选择待评估科创企业", key
|
||||
if not companies:
|
||||
return None
|
||||
|
||||
# 构建带图标与领域的名称映射
|
||||
# 构建带领域的名称映射
|
||||
company_options = {f"{c['short_name']} ({c['stock_code']}) - {c['sector']}": c["stock_code"] for c in companies}
|
||||
labels_list = list(company_options.keys())
|
||||
codes_list = [c["stock_code"] for c in companies]
|
||||
@@ -102,7 +102,7 @@ def render_sidebar_global_company_selector():
|
||||
current_code = get_global_company_code()
|
||||
default_index = codes_list.index(current_code) if current_code in codes_list else 0
|
||||
|
||||
st.markdown("### 🏢 全局联动评估目标")
|
||||
st.markdown("### 全局联动评估目标")
|
||||
selected_label = st.selectbox(
|
||||
"当前联动目标企业:",
|
||||
labels_list,
|
||||
|
||||
@@ -45,7 +45,7 @@ DEEPSEEK_API_KEY = "your-deepseek-api-key"
|
||||
#### 4. 一键启动 Web 系统
|
||||
在终端运行以下命令启动本地交互服务：
|
||||
```bash
|
||||
streamlit run 🏠_系统首页.py
|
||||
streamlit run 系统首页.py
|
||||
```
|
||||
终端启动成功后，浏览器将自动弹窗并打开系统界面：
|
||||
`http://localhost:8501`
|
||||
@@ -59,14 +59,14 @@ streamlit run 🏠_系统首页.py
|
||||
#### 1. 代码目录结构
|
||||
```text
|
||||
/opt/risk_system/
|
||||
├── 🏠_系统首页.py # 系统控制台大屏入口
|
||||
├── 系统首页.py # 系统控制台大屏入口
|
||||
├── config.py # 全局参数与风控规则配置
|
||||
├── requirements.txt # Python 依赖清单
|
||||
├── pages/ # 4 大业务功能子模块
|
||||
│ ├── 01_📊_企业风险概览.py
|
||||
│ ├── 02_🕸️_供应链知识图谱.py
|
||||
│ ├── 03_🤖_多智能体辩论诊断.py
|
||||
│ └── 04_💰_动态定价与核保.py
|
||||
│ ├── 1_企业风险概览.py
|
||||
│ ├── 2_供应链知识图谱.py
|
||||
│ ├── 3_多智能体辩论诊断.py
|
||||
│ └── 4_动态定价与核保.py
|
||||
├── risk_engine/ # Multi-Agent 专家辩论与冲突平息引擎
|
||||
├── knowledge_graph/ # NetworkX 图谱拓扑与 BIS 穿透算法
|
||||
└── collectors/ # AKShare 财报与网信办/BIS 提取器
|
||||
@@ -82,7 +82,7 @@ After=network.target
|
||||
[Service]
|
||||
User=root
|
||||
WorkingDirectory=/opt/risk_system
|
||||
ExecStart=/usr/local/bin/streamlit run 🏠_系统首页.py --server.port 8501 --server.headless true
|
||||
ExecStart=/opt/risk_system/venv/bin/streamlit run 系统首页.py --server.port 8501 --server.headless true
|
||||
Restart=always
|
||||
RestartSec=5
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
🛡️ 科创企业智能风控与核保系统 - 首页 / 风控大屏入口
|
||||
科创企业智能风控与核保系统 - 首页 / 风控大屏入口
|
||||
"""
|
||||
import sys
|
||||
import os
|
||||
@@ -98,23 +98,23 @@ from utils.session_helper import render_sidebar_global_company_selector
|
||||
with st.sidebar:
|
||||
render_sidebar_global_company_selector()
|
||||
st.markdown("---")
|
||||
st.markdown("### 🛡️ 系统导航")
|
||||
st.markdown("### 系统导航")
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
**功能模块**
|
||||
- 🏠 系统首页
|
||||
- 📊 企业风险概览
|
||||
- 🕸️ 供应链知识图谱
|
||||
- ⚖️ 多智能体辩论诊断
|
||||
- 💰 动态定价与核保
|
||||
- 00 系统首页
|
||||
- 01 企业风险概览
|
||||
- 02 供应链知识图谱
|
||||
- 03 多智能体辩论诊断
|
||||
- 04 动态定价与核保
|
||||
""")
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
**技术栈**
|
||||
- 🤖 DeepSeek API (LLM)
|
||||
- 🕸️ NetworkX (知识图谱)
|
||||
- 📊 Plotly (可视化)
|
||||
- 🔧 Streamlit (Web框架)
|
||||
- DeepSeek API (LLM)
|
||||
- NetworkX (知识图谱)
|
||||
- Plotly (数据可视化)
|
||||
- Streamlit (Web微服务框架)
|
||||
""")
|
||||
st.markdown("---")
|
||||
st.caption("中国平安 × 挑战杯 · 科创风控原型")
|
||||
@@ -126,7 +126,7 @@ with st.sidebar:
|
||||
# 标题
|
||||
st.markdown("""
|
||||
<div class="main-title">
|
||||
<h1>🛡️ 科创企业智能风控与核保系统</h1>
|
||||
<h1>科创企业智能风控与核保系统</h1>
|
||||
<p>基于多智能体辩论 × 知识图谱 × 动态定价的全链条风控平台</p>
|
||||
<p style="font-size: 0.85em; color: #666;">中国青基会平安励志计划 · XH-202626 · 科创企业特有风险的识别与管理</p>
|
||||
</div>
|
||||
@@ -138,7 +138,7 @@ companies = get_all_companies()
|
||||
# ============================================================
|
||||
# 统计概览卡片
|
||||
# ============================================================
|
||||
st.markdown("### 📊 系统概览")
|
||||
st.markdown("### 系统概览")
|
||||
|
||||
# 计算所有企业的风险评分
|
||||
risk_data = []
|
||||
@@ -172,7 +172,7 @@ with col2:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #F44336;">{high_risk}</div>
|
||||
<div class="label">⚠️ 高风险企业</div>
|
||||
<div class="label">高风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -181,7 +181,7 @@ with col3:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #FF9800;">{med_risk}</div>
|
||||
<div class="label">🟡 中风险企业</div>
|
||||
<div class="label">中风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -190,7 +190,7 @@ with col4:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #4CAF50;">{low_risk}</div>
|
||||
<div class="label">🟢 低风险企业</div>
|
||||
<div class="label">低风险企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -199,7 +199,7 @@ with col5:
|
||||
st.markdown(f"""
|
||||
<div class="stat-card">
|
||||
<div class="number" style="color: #B71C1C;">{sanctioned}</div>
|
||||
<div class="label">⛔ 受制裁企业</div>
|
||||
<div class="label">受制裁企业</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
@@ -211,7 +211,7 @@ st.markdown("<br>", unsafe_allow_html=True)
|
||||
col_left, col_right = st.columns([3, 2])
|
||||
|
||||
with col_left:
|
||||
st.markdown("#### 🎯 企业综合风险评分分布")
|
||||
st.markdown("#### 企业综合风险评分分布")
|
||||
|
||||
# 水平柱状图，按风险排序
|
||||
df_sorted = df.sort_values("comprehensive_score", ascending=True)
|
||||
@@ -256,7 +256,7 @@ with col_left:
|
||||
st.plotly_chart(fig, use_container_width=True)
|
||||
|
||||
with col_right:
|
||||
st.markdown("#### 🏷️ 行业风险热力")
|
||||
st.markdown("#### 行业风险热力")
|
||||
|
||||
# 按行业汇总
|
||||
sector_risk = df.groupby("sector")["comprehensive_score"].mean().reset_index()
|
||||
@@ -283,7 +283,7 @@ with col_right:
|
||||
# ============================================================
|
||||
# 企业列表
|
||||
# ============================================================
|
||||
st.markdown("### 📋 企业风险速览")
|
||||
st.markdown("### 企业风险速览")
|
||||
|
||||
# 格式化数据表格
|
||||
display_df = df[["company", "stock_code", "industry", "comprehensive_score", "risk_level"]].copy()
|
||||
@@ -297,7 +297,7 @@ st.dataframe(display_df, use_container_width=True, height=400)
|
||||
st.markdown("---")
|
||||
st.markdown("""
|
||||
<div style="text-align: center; color: #666; font-size: 0.85em;">
|
||||
<p>🛡️ 科创企业智能风控与核保系统 v1.0</p>
|
||||
<p>科创企业智能风控与核保系统 v1.0</p>
|
||||
<p>技术架构: Multi-Agent 交叉验证 × 供应链知识图谱 × 动态保险定价</p>
|
||||
<p>数据来源: 科创板公开年报 · BIS 实体清单 · 网信办算法备案公示</p>
|
||||
</div>
|
||||
Reference in New Issue
Block a user