feat: todo API server, daily brief gen, extract todos, balance checker

- Todo API server (:9001) with CRUD + priority support
- Daily brief aggregator (trading + inspiration)
- Todo extraction from inspiration digest markdown
- DeepSeek balance checker for nav page

scripts/daily_brief_gen.py

@@ -0,0 +1,111 @@
+"""Generate daily brief JSON for nav page - combines trading + inspiration data."""
+import json
+import os
+import re
+from datetime import datetime, timezone, timedelta
+
+OUTPUT = "/var/www/nav/data/daily_brief.json"
+BRIEF_DIR = os.path.expanduser("~/freqtrade/user_data/daily_briefs")
+DIGEST_DIR = os.path.expanduser("~/inspiration-collector/ai-insights/daily")
+tz = timezone(timedelta(hours=8))
+today = datetime.now(tz).strftime("%Y-%m-%d")
+
+
+def get_latest_file(directory, suffix=""):
+    if not os.path.isdir(directory):
+        return None
+    files = [f for f in os.listdir(directory) if f.endswith(suffix)]
+    if not files:
+        return None
+    files.sort(reverse=True)
+    return os.path.join(directory, files[0])
+
+
+def parse_trading_brief(filepath):
+    """Extract key stats from trading daily brief."""
+    if not filepath:
+        return {}
+    with open(filepath) as f:
+        content = f.read()
+
+    result = {"has_data": True}
+    # Extract open trades
+    m = re.search(r"当前持仓: (\d+) 笔", content)
+    if m:
+        result["open_trades"] = int(m.group(1))
+
+    m = re.search(r"今日新开: (\d+) 笔", content)
+    if m:
+        result["new_trades"] = int(m.group(1))
+
+    m = re.search(r"今日平仓: (\d+) 笔", content)
+    if m:
+        result["closed_trades"] = int(m.group(1))
+
+    # Extract strategy name
+    m = re.search(r"策略: (\S+) \|", content)
+    if m:
+        result["strategy"] = m.group(1)
+
+    # Extract health
+    m = re.search(r"健康度: (\S+) \((\d+/\d+)\)", content)
+    if m:
+        result["health"] = m.group(1)
+
+    return result
+
+
+def parse_digest(filepath):
+    """Extract summary and categories from inspiration digest."""
+    if not filepath:
+        return {}
+    with open(filepath) as f:
+        content = f.read()
+
+    result = {"has_data": True}
+    # Extract date
+    m = re.search(r"date: (\d{4}-\d{2}-\d{2})", content)
+    if m:
+        result["date"] = m.group(1)
+
+    # Extract summary line (first line after the date heading)
+    lines = content.split("\n")
+    for i, line in enumerate(lines):
+        if line.startswith("#") and i + 1 < len(lines):
+            next_line = lines[i + 1].strip()
+            if next_line:
+                result["summary"] = next_line[:100]
+                break
+
+    # Extract categories and todo count
+    cats = re.findall(r"\*\*(.+?)\*\*：(\d+)条", content)
+    if cats:
+        result["categories"] = {c[0]: int(c[1]) for c in cats}
+
+    todos = re.findall(r"\[ \] (.+)", content)
+    result["todo_count"] = len(todos)
+
+    return result
+
+
+if __name__ == "__main__":
+    latest_brief = get_latest_file(BRIEF_DIR, ".txt")
+    latest_digest = get_latest_file(DIGEST_DIR, "_digest.md")
+
+    trading = parse_trading_brief(latest_brief)
+    inspiration = parse_digest(latest_digest)
+
+    brief = {
+        "date": today,
+        "trading": trading,
+        "inspiration": inspiration,
+        "has_trading": bool(trading.get("has_data")),
+        "has_inspiration": bool(inspiration.get("has_data")),
+        "generated_at": datetime.now(tz).strftime("%Y-%m-%d %H:%M"),
+    }
+
+    os.makedirs(os.path.dirname(OUTPUT), exist_ok=True)
+    with open(OUTPUT, "w") as f:
+        json.dump(brief, f, ensure_ascii=False, indent=2)
+
+    print(f"Brief written: {OUTPUT}")