feat(chanlun): CLI table 模式 zss/mmds/bcs 显示日期字段

src/easy_tdx/cli/cmd_chanlun.py

@@ -118,6 +118,7 @@ def _print_table(result: dict[str, Any]) -> None:
             done = "✓" if zs["done"] else "…"
             click.echo(
                 f"  [{zs['index']}] "
+                f"{zs['start_date'] or '—'} → {zs['end_date'] or '—'} "
                 f"zg={zs['zg']} zd={zs['zd']} "
                 f"gg={zs['gg']} dd={zs['dd']} "
                 f"lines={zs['line_count']} {done}"
@@ -138,14 +139,20 @@ def _print_table(result: dict[str, Any]) -> None:
     if result.get("mmds"):
         click.echo("── 买卖点 ──")
         for mmd in result["mmds"]:
-            click.echo(f"  {mmd['type']}: {mmd['msg']}")
+            click.echo(
+                f"  {mmd['type']} ({mmd['date'] or '—'}): {mmd['msg']}"
+            )
         click.echo()
 
     if result.get("bcs"):
         click.echo("── 背驰 ──")
         for bc in result["bcs"]:
             status = "✓" if bc["bc"] else "✗"
-            click.echo(f"  [{status}] {bc['type']}: {bc['msg']}")
+            prev = bc["prev_date"] or "—"
+            curr = bc["curr_date"] or "—"
+            click.echo(
+                f"  [{status}] {bc['type']} ({prev} → {curr}): {bc['msg']}"
+            )
 
     if result.get("multi_level"):
         ml = result["multi_level"]

tests/unit/test_chanlun.py

@@ -628,3 +628,45 @@ class TestChanlunAnalyser:
             assert bc["prev_date"] is not None
             assert date_re.match(bc["curr_date"])
             assert date_re.match(bc["prev_date"])
+
+    def test_print_table_with_dates(self) -> None:
+        """CLI table 模式应正确消费 zss/mmds/bcs 的日期字段。
+
+        用能确定性产出中枢/买卖点/背驰的数据，调 _print_table 确保不抛异常、
+        且输出中包含新增的日期标记（→ 表示日期区间）。
+        """
+        import contextlib
+        import io
+        import math
+
+        import pandas as pd
+
+        from easy_tdx.chanlun.analyser import ChanlunAnalyser
+        from easy_tdx.cli.cmd_chanlun import _print_table
+
+        dates = pd.date_range("2025-01-02", periods=40, freq="B")
+        highs = [15 + 5 * math.sin(i / 2) + i * 0.2 for i in range(40)]
+        lows = [highs[i] - 4 for i in range(40)]
+        df = pd.DataFrame(
+            {
+                "datetime": dates,
+                "open": [h - 2 for h in highs],
+                "close": [h - 1 for h in highs],
+                "high": highs,
+                "low": lows,
+                "vol": [1000] * 40,
+            }
+        )
+        d = ChanlunAnalyser(code="SZ000001", frequency="DAILY").process_klines(df).to_dict()
+
+        buf = io.StringIO()
+        with contextlib.redirect_stdout(buf):
+            _print_table(d)
+        out = buf.getvalue()
+
+        # 中枢/买卖点/背驰都应出现，且中枢行应含日期区间箭头
+        assert "── 中枢 ──" in out
+        assert "── 买卖点 ──" in out
+        assert "── 背驰 ──" in out
+        # 中枢行格式：[idx] <start> → <end> zg=...
+        assert "→" in out