basicmachines-co
diff --git a/‎src/basic_memory/markdown/entity_parser.py‎
Lines changed: 86 additions & 5 deletions b/‎src/basic_memory/markdown/entity_parser.py‎
Lines changed: 86 additions & 5 deletions
diff --git a/‎tests/markdown/test_date_frontmatter_parsing.py‎
Lines changed: 235 additions & 0 deletions b/‎tests/markdown/test_date_frontmatter_parsing.py‎
Lines changed: 235 additions & 0 deletions
@@ -4,7 +4,7 @@
 """
 
 from dataclasses import dataclass, field
-from datetime import datetime
+from datetime import date, datetime
 from pathlib import Path
 from typing import Any, Optional
 
@@ -26,6 +26,82 @@
 md = MarkdownIt().use(observation_plugin).use(relation_plugin)
 
 
+def normalize_frontmatter_value(value: Any) -> Any:
+    """Normalize frontmatter values to safe types for processing.
+
+    PyYAML automatically converts various string-like values into native Python types:
+    - Date strings ("2025-10-24") → datetime.date objects
+    - Numbers ("1.0") → int or float
+    - Booleans ("true") → bool
+    - Lists → list objects
+
+    This can cause AttributeError when code expects strings and calls string methods
+    like .strip() on these values (see GitHub issue #236).
+
+    This function normalizes all frontmatter values to safe types:
+    - Dates/datetimes → ISO format strings
+    - Numbers (int/float) → strings
+    - Booleans → strings ("True"/"False")
+    - Lists → preserved as lists, but items are recursively normalized
+    - Dicts → preserved as dicts, but values are recursively normalized
+    - Strings → kept as-is
+    - None → kept as None
+
+    Args:
+        value: The frontmatter value to normalize
+
+    Returns:
+        The normalized value safe for string operations
+
+    Example:
+        >>> normalize_frontmatter_value(datetime.date(2025, 10, 24))
+        '2025-10-24'
+        >>> normalize_frontmatter_value([datetime.date(2025, 10, 24), "tag", 123])
+        ['2025-10-24', 'tag', '123']
+        >>> normalize_frontmatter_value(True)
+        'True'
+    """
+    # Convert date/datetime objects to ISO format strings
+    if isinstance(value, datetime):
+        return value.isoformat()
+    if isinstance(value, date):
+        return value.isoformat()
+
+    # Convert boolean to string (must come before int check since bool is subclass of int)
+    if isinstance(value, bool):
+        return str(value)
+
+    # Convert numbers to strings
+    if isinstance(value, (int, float)):
+        return str(value)
+
+    # Recursively process lists (preserve as list, normalize items)
+    if isinstance(value, list):
+        return [normalize_frontmatter_value(item) for item in value]
+
+    # Recursively process dicts (preserve as dict, normalize values)
+    if isinstance(value, dict):
+        return {key: normalize_frontmatter_value(val) for key, val in value.items()}
+
+    # Keep strings and None as-is
+    return value
+
+
+def normalize_frontmatter_metadata(metadata: dict) -> dict:
+    """Normalize all values in frontmatter metadata dict.
+
+    Converts date/datetime objects to ISO format strings to prevent
+    AttributeError when code expects strings (GitHub issue #236).
+
+    Args:
+        metadata: The frontmatter metadata dictionary
+
+    Returns:
+        A new dictionary with all values normalized
+    """
+    return {key: normalize_frontmatter_value(value) for key, value in metadata.items()}
+
+
 @dataclass
 class EntityContent:
     content: str
@@ -127,20 +203,25 @@ async def parse_file_content(self, absolute_path, file_content):
 
         # Extract file stat info
         file_stats = absolute_path.stat()
-        metadata = post.metadata
+
+        # Normalize frontmatter values to prevent AttributeError on date objects (issue #236)
+        # PyYAML automatically converts date strings like "2025-10-24" to datetime.date objects
+        # This normalization converts them back to ISO format strings to ensure compatibility
+        # with code that expects string values
+        metadata = normalize_frontmatter_metadata(post.metadata)
 
         # Ensure required fields have defaults (issue #184, #387)
         # Handle title - use default if missing, None/null, empty, or string "None"
-        title = post.metadata.get("title")
+        title = metadata.get("title")
         if not title or title == "None":
             metadata["title"] = absolute_path.stem
         else:
             metadata["title"] = title
         # Handle type - use default if missing OR explicitly set to None/null
-        entity_type = post.metadata.get("type")
+        entity_type = metadata.get("type")
         metadata["type"] = entity_type if entity_type is not None else "note"
 
-        tags = parse_tags(post.metadata.get("tags", []))  # pyright: ignore
+        tags = parse_tags(metadata.get("tags", []))  # pyright: ignore
         if tags:
             metadata["tags"] = tags
 
 
@@ -0,0 +1,235 @@
+"""Test that YAML date parsing doesn't break frontmatter processing.
+
+This test reproduces GitHub issue #236 from basic-memory-cloud where date fields
+in YAML frontmatter are automatically parsed as datetime.date objects by PyYAML,
+but later code expects strings and calls .strip() on them, causing AttributeError.
+"""
+
+import pytest
+from pathlib import Path
+from basic_memory.markdown.entity_parser import EntityParser
+
+
+@pytest.fixture
+def test_file_with_date(tmp_path):
+    """Create a test file with date fields in frontmatter."""
+    test_file = tmp_path / "test_note.md"
+    content = """---
+title: Test Note
+date: 2025-10-24
+created: 2025-10-24
+tags:
+  - python
+  - testing
+---
+
+# Test Content
+
+This file has date fields in frontmatter that PyYAML will parse as datetime.date objects.
+"""
+    test_file.write_text(content)
+    return test_file
+
+
+@pytest.fixture
+def test_file_with_date_in_tags(tmp_path):
+    """Create a test file with a date value in tags (edge case)."""
+    test_file = tmp_path / "test_note_date_tags.md"
+    content = """---
+title: Test Note with Date Tags
+tags: 2025-10-24
+---
+
+# Test Content
+
+This file has a date value as tags, which will be parsed as datetime.date.
+"""
+    test_file.write_text(content)
+    return test_file
+
+
+@pytest.fixture
+def test_file_with_dates_in_tag_list(tmp_path):
+    """Create a test file with dates in a tag list (edge case)."""
+    test_file = tmp_path / "test_note_dates_in_list.md"
+    content = """---
+title: Test Note with Dates in Tags List
+tags:
+  - valid-tag
+  - 2025-10-24
+  - another-tag
+---
+
+# Test Content
+
+This file has date values mixed into tags list.
+"""
+    test_file.write_text(content)
+    return test_file
+
+
+@pytest.mark.asyncio
+async def test_parse_file_with_date_fields(test_file_with_date, tmp_path):
+    """Test that files with date fields in frontmatter can be parsed without errors."""
+    parser = EntityParser(tmp_path)
+
+    # This should not raise AttributeError about .strip()
+    entity_markdown = await parser.parse_file(test_file_with_date)
+
+    # Verify basic parsing worked
+    assert entity_markdown.frontmatter.title == "Test Note"
+
+    # Date fields should be converted to ISO format strings
+    date_field = entity_markdown.frontmatter.metadata.get("date")
+    assert date_field is not None
+    assert isinstance(date_field, str), "Date should be converted to string"
+    assert date_field == "2025-10-24", "Date should be in ISO format"
+
+    created_field = entity_markdown.frontmatter.metadata.get("created")
+    assert created_field is not None
+    assert isinstance(created_field, str), "Created date should be converted to string"
+    assert created_field == "2025-10-24", "Created date should be in ISO format"
+
+
+@pytest.mark.asyncio
+async def test_parse_file_with_date_as_tags(test_file_with_date_in_tags, tmp_path):
+    """Test that date values in tags field don't cause errors."""
+    parser = EntityParser(tmp_path)
+
+    # This should not raise AttributeError - date should be converted to string
+    entity_markdown = await parser.parse_file(test_file_with_date_in_tags)
+    assert entity_markdown.frontmatter.title == "Test Note with Date Tags"
+
+    # The date should be converted to ISO format string before parse_tags processes it
+    tags = entity_markdown.frontmatter.tags
+    assert tags is not None
+    assert isinstance(tags, list)
+    # The date value should be converted to string
+    assert "2025-10-24" in tags
+
+
+@pytest.mark.asyncio
+async def test_parse_file_with_dates_in_tag_list(test_file_with_dates_in_tag_list, tmp_path):
+    """Test that date values in a tags list don't cause errors."""
+    parser = EntityParser(tmp_path)
+
+    # This should not raise AttributeError - dates should be converted to strings
+    entity_markdown = await parser.parse_file(test_file_with_dates_in_tag_list)
+    assert entity_markdown.frontmatter.title == "Test Note with Dates in Tags List"
+
+    # Tags should be parsed
+    tags = entity_markdown.frontmatter.tags
+    assert tags is not None
+    assert isinstance(tags, list)
+
+    # Should have 3 tags (2 valid + 1 date converted to ISO string)
+    assert len(tags) == 3
+    assert "valid-tag" in tags
+    assert "another-tag" in tags
+    # Date should be converted to ISO format string
+    assert "2025-10-24" in tags
+
+
+@pytest.mark.asyncio
+async def test_parse_file_with_various_yaml_types(tmp_path):
+    """Test that various YAML types in frontmatter don't cause errors.
+
+    This reproduces the broader issue from GitHub #236 where ANY non-string
+    YAML type (dates, lists, numbers, booleans) can cause AttributeError
+    when code expects strings and calls .strip().
+    """
+    test_file = tmp_path / "test_yaml_types.md"
+    content = """---
+title: Test YAML Types
+date: 2025-10-24
+priority: 1
+completed: true
+tags:
+  - python
+  - testing
+metadata:
+  author: Test User
+  version: 1.0
+---
+
+# Test Content
+
+This file has various YAML types that need to be normalized.
+"""
+    test_file.write_text(content)
+
+    parser = EntityParser(tmp_path)
+    entity_markdown = await parser.parse_file(test_file)
+
+    # All values should be accessible without AttributeError
+    assert entity_markdown.frontmatter.title == "Test YAML Types"
+
+    # Date should be converted to ISO string
+    date_field = entity_markdown.frontmatter.metadata.get("date")
+    assert isinstance(date_field, str)
+    assert date_field == "2025-10-24"
+
+    # Number should be converted to string
+    priority = entity_markdown.frontmatter.metadata.get("priority")
+    assert isinstance(priority, str)
+    assert priority == "1"
+
+    # Boolean should be converted to string
+    completed = entity_markdown.frontmatter.metadata.get("completed")
+    assert isinstance(completed, str)
+    assert completed == "True"  # Python's str(True) always returns "True"
+
+    # List should be preserved as list, but items should be strings
+    tags = entity_markdown.frontmatter.tags
+    assert isinstance(tags, list)
+    assert all(isinstance(tag, str) for tag in tags)
+    assert "python" in tags
+    assert "testing" in tags
+
+    # Dict should be preserved as dict, but nested values should be strings
+    metadata = entity_markdown.frontmatter.metadata.get("metadata")
+    assert isinstance(metadata, dict)
+    assert isinstance(metadata.get("author"), str)
+    assert metadata.get("author") == "Test User"
+    assert isinstance(metadata.get("version"), str)
+    assert metadata.get("version") in ("1.0", "1")
+
+
+@pytest.mark.asyncio
+async def test_parse_file_with_datetime_objects(tmp_path):
+    """Test that datetime objects (not just date objects) are properly normalized.
+
+    This tests the edge case where frontmatter might contain datetime values
+    with time components (as parsed by PyYAML), ensuring they're converted to ISO format strings.
+    """
+    test_file = tmp_path / "test_datetime.md"
+
+    # YAML datetime strings that PyYAML will parse as datetime objects
+    # Format: YYYY-MM-DD HH:MM:SS or YYYY-MM-DDTHH:MM:SS
+    content = """---
+title: Test Datetime
+created_at: 2025-10-24 14:30:00
+updated_at: 2025-10-24T00:00:00
+---
+
+# Test Content
+
+This file has datetime values in frontmatter that PyYAML will parse as datetime objects.
+"""
+    test_file.write_text(content)
+
+    parser = EntityParser(tmp_path)
+    entity_markdown = await parser.parse_file(test_file)
+
+    # Verify datetime objects are converted to ISO format strings
+    created_at = entity_markdown.frontmatter.metadata.get("created_at")
+    assert isinstance(created_at, str), "Datetime should be converted to string"
+    # PyYAML parses "2025-10-24 14:30:00" as datetime, which we normalize to ISO
+    assert "2025-10-24" in created_at and "14:30:00" in created_at, \
+        f"Datetime with time should be normalized to ISO format, got: {created_at}"
+
+    updated_at = entity_markdown.frontmatter.metadata.get("updated_at")
+    assert isinstance(updated_at, str), "Datetime should be converted to string"
+    # PyYAML parses "2025-10-24T00:00:00" as datetime, which we normalize to ISO
+    assert "2025-10-24" in updated_at and "00:00:00" in updated_at, \
+        f"Datetime at midnight should be normalized to ISO format, got: {updated_at}"