feat: add policy/research/market/deep-dive modules for daily brief expansion

scripts/deep_dive.py

@@ -0,0 +1,105 @@
+"""Deep dive: pick top news and generate in-depth analysis via DeepSeek."""
+import json, os, requests
+from datetime import datetime, timezone, timedelta
+
+API_KEY = "sk-bbca4a0380d549389f0d27cdea0b5228"
+API_URL = "https://api.deepseek.com/v1/chat/completions"
+MODEL = "deepseek-v4-flash"
+
+NEWS_SUMMARY = "/var/www/nav/data/news_summary.json"
+OUTPUT = "/var/www/nav/data/deep_dive.json"
+tz = timezone(timedelta(hours=8))
+
+
+def load_top_news():
+    if not os.path.exists(NEWS_SUMMARY):
+        return None
+    with open(NEWS_SUMMARY) as f:
+        data = json.load(f)
+    # Pick the #1 item from the first category (usually 国际要闻 or most important)
+    for cat in data.get("categories", []):
+        if cat.get("items"):
+            return cat["items"][0], cat["name"]
+    return None, None
+
+
+def generate_deep_dive(top_item, category):
+    title = top_item.get("title", "")
+    subtitle = top_item.get("subtitle", "")
+    summary = top_item.get("summary", "")
+    source = top_item.get("source", "")
+    link = top_item.get("link", "")
+
+    prompt = f"""你是一位资深的国际事务/财经分析员。用户看到了一条新闻的简要摘要，请你写一篇深度解读，帮助用户理解这条新闻的**完整背景、深层含义和未来走向**。
+
+## 新闻信息
+- 分类：{category}
+- 标题：{subtitle}
+- 原文标题：{title}
+- 来源：{source}
+- 原文链接：{link}
+- 简要摘要：{summary}
+
+## 写作要求
+1. **800-1200 字**，中文，客观专业
+2. **结构清晰**：事件背景 → 关键事实 → 各方立场 → 深层分析 → 可能走向 → 对中国/市场的影响
+3. **不重复摘要内容**，要在摘要基础上做增量分析
+4. **引用具体数据/事件**支撑论点，不要空泛议论
+5. **结尾一句话总结**这条新闻对用户（中国中层干部、量化交易者）的核心启示
+6. 关键信息用 **加粗** 标出
+
+请直接输出正文，不要输出 JSON。"""
+
+    resp = requests.post(
+        API_URL,
+        headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
+        json={
+            "model": MODEL,
+            "messages": [{"role": "user", "content": prompt}],
+            "temperature": 0.5,
+            "max_tokens": 4000,
+        },
+        timeout=120,
+    )
+
+    if resp.status_code != 200:
+        print(f"API error: {resp.status_code}")
+        return None
+
+    content = resp.json()["choices"][0]["message"]["content"]
+    return content.strip()
+
+
+def run():
+    top_item, category = load_top_news()
+    if not top_item:
+        print("No news data available for deep dive")
+        return
+
+    print(f"Generating deep dive for: {top_item.get('subtitle', '')[:50]}...")
+
+    analysis = generate_deep_dive(top_item, category)
+    if not analysis:
+        print("Deep dive generation failed")
+        return
+
+    result = {
+        "updated_at": datetime.now(tz).strftime("%Y-%m-%d %H:%M"),
+        "source_news": {
+            "subtitle": top_item.get("subtitle", ""),
+            "title": top_item.get("title", ""),
+            "link": top_item.get("link", ""),
+            "category": category,
+        },
+        "analysis": analysis,
+    }
+
+    os.makedirs(os.path.dirname(OUTPUT), exist_ok=True)
+    with open(OUTPUT, "w", encoding="utf-8") as f:
+        json.dump(result, f, ensure_ascii=False, indent=2)
+
+    print(f"Deep dive written -> {OUTPUT}")
+
+
+if __name__ == "__main__":
+    run()