fix(tasks): read Memory.text in classify_events personal context (#3640)

The classify_events task pulled user memories to give the LLM personal context,
but read `m.content`, which the Memory ORM does not have (the column is `text`).
That raised AttributeError on the first row; the surrounding except swallowed it
and logged at debug, so the personal-context block was silently always empty and
events were classified without it.

Extract the rendering into `_memory_context_lines` (reads `text`, robust via
getattr, keeps the 200-char and 40-line caps) and raise the swallowed-exception
log to warning so a future schema mismatch is visible.

Adds tests/test_classify_events_memory_text.py for the field, truncation, blank
skipping, missing-attr robustness, and the line cap.

tests/test_classify_events_memory_text.py

@@ -0,0 +1,33 @@
+"""classify_events must read the Memory `text` column, not a non-existent
+`content` attribute.
+
+The previous inline loop did `m.content`, which raised AttributeError on the
+first Memory row; the surrounding except swallowed it, so the personal-context
+block the LLM relies on was always empty. The logic now lives in
+`_memory_context_lines`, which reads `text`.
+"""
+from src.builtin_actions import _memory_context_lines
+
+
+class _Mem:
+    def __init__(self, text):
+        self.text = text
+
+
+def test_uses_text_and_truncates_and_skips_blank():
+    lines = _memory_context_lines([_Mem("Alice is my spouse"), _Mem("   "), _Mem("y" * 250)])
+    assert lines[0] == "- Alice is my spouse"
+    assert len(lines) == 2  # the blank row is skipped
+    assert lines[1] == "- " + "y" * 200  # truncated to 200 chars
+
+
+def test_skips_rows_without_text_attribute():
+    class _Bad:  # mimics a schema where the attribute is absent
+        pass
+
+    assert _memory_context_lines([_Bad(), _Mem("ok")]) == ["- ok"]
+
+
+def test_respects_limit():
+    mems = [_Mem(f"memory {i}") for i in range(50)]
+    assert len(_memory_context_lines(mems, limit=40)) == 40