fix: 修复报告摘要生成并稳定默认端口

app/services/ai_service.py

@@ -42,6 +42,46 @@ def build_comment_prompt(comments: list[dict[str, str]]) -> str:
     )
 
 
+def build_report_summary_prompt(metrics: dict, typical: dict, *, word_limit: int) -> str:
+    sentiment = metrics.get("sentiment", {})
+    sentiment_lines = []
+    for name in ("positive", "neutral", "negative", "unknown"):
+        entry = sentiment.get(name, {})
+        sentiment_lines.append(f"- {name}: {entry.get('count', 0)} ({entry.get('pct', 0)}%)")
+
+    label_lines = [
+        f"- {label.get('name', '')}: {label.get('count', 0)}"
+        for label in metrics.get("top_labels", [])
+        if label.get("name")
+    ]
+    if not label_lines:
+        label_lines = ["- 暂无"]
+
+    typical_lines = []
+    for sentiment_name, comments in typical.items():
+        for comment in comments:
+            typical_lines.append(f"- [{sentiment_name}] {str(comment.get('content', ''))[:150]}")
+    if not typical_lines:
+        typical_lines = ["- 暂无"]
+
+    item_count_line = ""
+    if "item_count" in metrics:
+        item_count_line = f"内容条目数量：{metrics.get('item_count', 0)}\n"
+
+    return (
+        f"只返回一段中文总结，不使用 Markdown，不超过 {word_limit} 字。\n"
+        "总结必须基于以下统计数据和典型评论，不要编造未提供的信息。\n"
+        f"{item_count_line}"
+        f"样本评论数量：{metrics.get('sample_count', 0)}\n"
+        "情绪分布：\n"
+        f"{chr(10).join(sentiment_lines)}\n"
+        "Top 标签：\n"
+        f"{chr(10).join(label_lines)}\n"
+        "典型评论：\n"
+        f"{chr(10).join(typical_lines)}"
+    )
+
+
 def parse_ai_comment_response(response_text: str, *, expected_comment_ids: set[str]) -> list[AIAnalysisResult]:
     try:
         raw = json.loads(response_text)
@@ -118,7 +158,7 @@ class OpenAICompatibleAIClient:
         self.model = model
         self._http_client = http_client or httpx.Client(timeout=timeout_seconds)
 
-    def request(self, prompt: str) -> str:
+    def request(self, prompt: str, *, system_prompt: str = "请严格遵循用户指令输出。") -> str:
         endpoint = f"{self.base_url}/chat/completions" if self.base_url.endswith("/v1") else f"{self.base_url}/v1/chat/completions"
         response = self._http_client.post(
             endpoint,
@@ -128,7 +168,7 @@ class OpenAICompatibleAIClient:
                 "messages": [
                     {
                         "role": "system",
-                        "content": "只返回 JSON Array，不输出 Markdown 或解释性自然语言。",
+                        "content": system_prompt,
                     },
                     {"role": "user", "content": prompt},
                 ],