完善模板测试弹窗与多文件解析链路

backend/services/ai_service.py

@@ -43,7 +43,7 @@ def _ensure_json_content(text: str) -> dict:
     return {"content": [{"type": "text", "text": stripped}]}
 
 
-def _build_prompt(paragraph: Paragraph) -> tuple[str, str]:
+def _build_prompt(paragraph: Paragraph, file_summaries: list[dict] | None = None) -> tuple[str, str]:
     system_prompt = (
         "你是一个企业文档撰写助手。"
         "请严格输出 JSON，不要输出 JSON 之外的说明。"
@@ -55,6 +55,11 @@ def _build_prompt(paragraph: Paragraph) -> tuple[str, str]:
         user_parts.append(f"模板上下文：{paragraph.content}")
     if paragraph.need_prompt and paragraph.prompt_text:
         user_parts.append(f"附加要求：{paragraph.prompt_text}")
+    if file_summaries:
+        file_blocks = []
+        for item in file_summaries:
+            file_blocks.append(f"文件名：{item['file_name']}\n文件摘要：{item['summary']}")
+        user_parts.append("参考文件内容：\n" + "\n\n".join(file_blocks))
     user_parts.append(f"输出格式：{paragraph.output_format}")
     return system_prompt, "\n\n".join(user_parts)
 
@@ -157,8 +162,8 @@ async def _call_anthropic(model: AiModel, system_prompt: str, user_prompt: str)
     return AiCallResult(content=_ensure_json_content(text), raw_text=text, used_model=model.name)
 
 
-async def call_ai(paragraph: Paragraph, model: AiModel) -> AiCallResult:
-    system_prompt, user_prompt = _build_prompt(paragraph)
+async def call_ai(paragraph: Paragraph, model: AiModel, file_summaries: list[dict] | None = None) -> AiCallResult:
+    system_prompt, user_prompt = _build_prompt(paragraph, file_summaries)
     if model.api_format == "anthropic":
         return await _call_anthropic(model, system_prompt, user_prompt)
     return await _call_openai_compatible(model, system_prompt, user_prompt)