Keep bot operational when forecast model is unavailable

tests/test_storage.py

@@ -2,9 +2,11 @@ from __future__ import annotations
 
 import json
 from datetime import timedelta
+from pathlib import Path
 
 from crypto_spot_bot.models import Signal, utc_now
 from crypto_spot_bot.storage import MAX_SIGNAL_DIAGNOSTICS_BYTES, PRUNE_BATCH_SIZE, Storage
+from tools.compact_runtime_db import compact_database
 
 
 def test_hold_sampling_is_independent_for_each_reason_and_diagnostics_are_bounded(tmp_path) -> None:
@@ -58,3 +60,29 @@ def test_prune_deletes_only_one_bounded_batch_per_table(tmp_path) -> None:
 
     assert deleted["signals"] == PRUNE_BATCH_SIZE
     assert len(storage.recent_signals(PRUNE_BATCH_SIZE + 10)) == 5
+
+
+def test_runtime_compaction_preserves_durable_state_and_bounds_telemetry(tmp_path) -> None:
+    database = tmp_path / "tradebot.sqlite3"
+    storage = Storage(database)
+    for index in range(10):
+        storage.insert_signal(
+            Signal("BTCUSDT", "BUY", 0.8, f"signal-{index}"),
+            hold_sample_seconds=0,
+        )
+    storage.set_runtime("active", {"value": 1})
+
+    result = compact_database(
+        database,
+        recent_rows={"signals": 3, "equity": 0, "events": 0, "llm_advice": 0},
+    )
+
+    compacted = Storage(database)
+    assert [row["reason"] for row in compacted.recent_signals(10)] == [
+        "signal-9",
+        "signal-8",
+        "signal-7",
+    ]
+    assert compacted.get_runtime("active") == {"value": 1}
+    assert Path(result["backup"]).is_file()
+    assert result["rows"]["signals"] == 3