src/cratedb_about/outline/model.py (1)

83-84: Add a docstring to maintain API documentation consistency.

The new to_html method would benefit from a docstring to maintain consistency with other methods in the class and provide clear documentation for users of this API.

def to_html(self) -> str:
+    """Convert outline into HTML format using Markdown as an intermediate step."""
    return markdown(self.to_markdown())

src/cratedb_about/bundle/llmstxt.py (3)

25-25: Use a more specific type annotation for the outline field.

The outline field is annotated with t.Any, but based on its usage in the code and the initialization in __post_init__, it's clearly an instance of OutlineDocument returned by CrateDbKnowledgeOutline.load().

-    outline: t.Any = dataclasses.field(init=False)
+    outline: "OutlineDocument" = dataclasses.field(init=False)

Consider adding an import for OutlineDocument or using a forward reference string as shown.

---

65-74: Consider adding error handling for HTML generation.

While the copy_readme method has error handling for HTML generation, the copy_sources method doesn't have similar error handling for self.outline.to_html().

    def copy_sources(self):
        """
        Provide the source document in the original YAML format, but also converted to HTML.
        The intermediary Markdown format is already covered by the `llms.txt` file itself.
        """
        shutil.copy(
            str(self.outline_yaml),
            self.outdir / "outline.yaml",
        )
-        Path(self.outdir / "outline.html").write_text(self.outline.to_html())
+        try:
+            Path(self.outdir / "outline.html").write_text(self.outline.to_html())
+        except Exception as e:
+            logger.warning(f"Failed to generate HTML outline: {e}")

---

23-23: Add type annotation for outline_url parameter.

For consistency with other fields, consider adding a type annotation for the outline_url parameter.

-    outline_url: str
+    outline_url: t.Optional[str]

This would match the type used in CrateDbKnowledgeOutline.load() (from the provided relevant code snippets), which accepts an optional URL.

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src/cratedb_about/bundle/llmstxt.py (2)

25-27: Consider providing initializers for non-init fields.

These fields are marked with init=False but aren't initialized in the base class. While they're set in the subclass, it would be helpful to add documentation or default values to clarify how these fields should be populated when using the base class directly.

-    outline: OutlineDocument = dataclasses.field(init=False)
-    readme_md: Traversable = dataclasses.field(init=False)
-    outline_yaml: Traversable = dataclasses.field(init=False)
+    outline: OutlineDocument = dataclasses.field(init=False, default=None)
+    readme_md: Traversable = dataclasses.field(init=False, default=None)
+    outline_yaml: Traversable = dataclasses.field(init=False, default=None)

---

80-91: Well-structured subclass implementation.

The creation of CrateDbLllmsTxtBuilder subclass is a good approach to provide specific implementations while maintaining the flexibility of the base class:

1. Default values for resource paths are provided
2. __post_init__ is used to properly initialize the outline field
3. This design supports dependency injection and testing

However, consider adding a comment to the base class explaining that it's intended to be subclassed, with the non-init fields expected to be set by subclasses.

 @dataclasses.dataclass
 class LllmsTxtBuilder:
     """
     Build llms.txt files for CrateDB.
+    
+    This is a base class intended to be subclassed. The non-init fields
+    (outline, readme_md, outline_yaml) should be initialized by subclasses.
     """

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