feat(ai): 集成知识库到 AnalysisService — system_prompt 自动注入临床规则

Phase 3 Task 23: AnalysisService 新增可选 knowledge_source，
stream_analyze 前自动查询 L1/L2/L3 知识并注入 system_prompt

crates/erp-ai/src/service/analysis.rs

@@ -8,6 +8,7 @@ use erp_core::types::Pagination;
 use crate::dto::{AnalysisType, GenerateRequest};
 use crate::entity::ai_analysis;
 use crate::error::{AiError, AiResult};
+use crate::knowledge::KnowledgeSource;
 use crate::prompt::PromptRenderer;
 use crate::provider::AiProvider;
 use crate::sanitization::SanitizationService;
@@ -17,6 +18,7 @@ pub struct AnalysisService {
     pub sanitizer: SanitizationService,
     pub renderer: PromptRenderer,
     pub db: sea_orm::DatabaseConnection,
+    pub knowledge_source: Option<std::sync::Arc<dyn KnowledgeSource>>,
 }
 
 impl AnalysisService {
@@ -26,9 +28,15 @@ impl AnalysisService {
             sanitizer: SanitizationService::new(),
             renderer: PromptRenderer::new(),
             db,
+            knowledge_source: None,
         }
     }
 
+    pub fn with_knowledge_source(mut self, source: std::sync::Arc<dyn KnowledgeSource>) -> Self {
+        self.knowledge_source = Some(source);
+        self
+    }
+
     /// 执行流式分析 — 返回 SSE 事件流
     pub async fn stream_analyze(
         &self,
@@ -63,6 +71,33 @@ impl AnalysisService {
 
         tracing::info!(analysis = %analysis_id, tenant = %tenant_id, r#type = %analysis_type.as_str(), "发起 AI 分析");
 
+        // 0.5 知识库上下文注入
+        let system_prompt = if let Some(ref ks) = self.knowledge_source {
+            let query = crate::knowledge::KnowledgeQuery {
+                tenant_id,
+                analysis_type: analysis_type.as_str().to_string(),
+                patient_context: None,
+                query_text: None,
+            };
+            match ks.get_context(&query).await {
+                Ok(ctx) if ctx.confidence > 0.0 => {
+                    tracing::info!(
+                        source = %ctx.source,
+                        confidence = ctx.confidence,
+                        "知识库上下文注入"
+                    );
+                    format!("{}\n\n=== 知识库参考 ===\n{}", system_prompt, ctx.context_text)
+                }
+                Ok(_) => system_prompt,
+                Err(e) => {
+                    tracing::warn!(error = %e, "知识库查询失败，跳过注入");
+                    system_prompt
+                }
+            }
+        } else {
+            system_prompt
+        };
+
         // 1. 渲染 Prompt
         let user_prompt = self.renderer.render(&user_template, &sanitized_data)?;
 

crates/erp-server/src/main.rs

@@ -519,12 +519,13 @@ async fn main() -> anyhow::Result<()> {
             default_claude = default_claude.with_base_url(base_url.clone());
         }
 
-        let analysis = std::sync::Arc::new(
+        let analysis_svc = erp_ai::service::analysis::AnalysisService::new(
-            erp_ai::service::analysis::AnalysisService::new(
+            Box::new(default_claude),
-                Box::new(default_claude),
+            db.clone(),
-                db.clone(),
+        ).with_knowledge_source(std::sync::Arc::new(
-            ),
+            erp_ai::knowledge::structured_source::StructuredKnowledgeSource::new(db.clone()),
-        );
+        ));
+        let analysis = std::sync::Arc::new(analysis_svc);
         let prompt = std::sync::Arc::new(erp_ai::service::prompt::PromptService::new(db.clone()));
         let usage = std::sync::Arc::new(erp_ai::service::usage::UsageService::new(db.clone()));
         let suggestion = std::sync::Arc::new(erp_ai::service::suggestion::SuggestionService);