Code

Node parsers.

CodeSplitter

Bases: TextSplitter

Split code using a AST parser.

Thank you to Kevin Lu / SweepAI for suggesting this elegant code splitting solution. https://docs.sweep.dev/blogs/chunking-2m-files

Parameters:

Name	Type	Description	Default
language	str	The programming language of the code being split.	required
chunk_lines	int	The number of lines to include in each chunk.	40
chunk_lines_overlap	int	How many lines of code each chunk overlaps with.	15
max_chars	int	Maximum number of characters per chunk.	1500

Source code in llama-index-core/llama_index/core/node_parser/text/code.py

class CodeSplitter(TextSplitter):
    """Split code using a AST parser.

    Thank you to Kevin Lu / SweepAI for suggesting this elegant code splitting solution.
    https://docs.sweep.dev/blogs/chunking-2m-files
    """

    language: str = Field(
        description="The programming language of the code being split."
    )
    chunk_lines: int = Field(
        default=DEFAULT_CHUNK_LINES,
        description="The number of lines to include in each chunk.",
        gt=0,
    )
    chunk_lines_overlap: int = Field(
        default=DEFAULT_LINES_OVERLAP,
        description="How many lines of code each chunk overlaps with.",
        gt=0,
    )
    max_chars: int = Field(
        default=DEFAULT_MAX_CHARS,
        description="Maximum number of characters per chunk.",
        gt=0,
    )
    _parser: Any = PrivateAttr()

    def __init__(
        self,
        language: str,
        chunk_lines: int = DEFAULT_CHUNK_LINES,
        chunk_lines_overlap: int = DEFAULT_LINES_OVERLAP,
        max_chars: int = DEFAULT_MAX_CHARS,
        parser: Any = None,
        callback_manager: Optional[CallbackManager] = None,
        include_metadata: bool = True,
        include_prev_next_rel: bool = True,
        id_func: Optional[Callable[[int, Document], str]] = None,
    ) -> None:
        """Initialize a CodeSplitter."""
        from tree_sitter import Parser  # pants: no-infer-dep

        callback_manager = callback_manager or CallbackManager([])
        id_func = id_func or default_id_func

        super().__init__(
            language=language,
            chunk_lines=chunk_lines,
            chunk_lines_overlap=chunk_lines_overlap,
            max_chars=max_chars,
            callback_manager=callback_manager,
            include_metadata=include_metadata,
            include_prev_next_rel=include_prev_next_rel,
            id_func=id_func,
        )

        if parser is None:
            try:
                import tree_sitter_languages  # pants: no-infer-dep

                parser = tree_sitter_languages.get_parser(language)
            except ImportError:
                raise ImportError(
                    "Please install tree_sitter_languages to use CodeSplitter."
                    "Or pass in a parser object."
                )
            except Exception:
                print(
                    f"Could not get parser for language {language}. Check "
                    "https://github.com/grantjenks/py-tree-sitter-languages#license "
                    "for a list of valid languages."
                )
                raise
        if not isinstance(parser, Parser):
            raise ValueError("Parser must be a tree-sitter Parser object.")

        self._parser = parser

    @classmethod
    def from_defaults(
        cls,
        language: str,
        chunk_lines: int = DEFAULT_CHUNK_LINES,
        chunk_lines_overlap: int = DEFAULT_LINES_OVERLAP,
        max_chars: int = DEFAULT_MAX_CHARS,
        callback_manager: Optional[CallbackManager] = None,
        parser: Any = None,
    ) -> "CodeSplitter":
        """Create a CodeSplitter with default values."""
        return cls(
            language=language,
            chunk_lines=chunk_lines,
            chunk_lines_overlap=chunk_lines_overlap,
            max_chars=max_chars,
            callback_manager=callback_manager,
            parser=parser,
        )

    @classmethod
    def class_name(cls) -> str:
        return "CodeSplitter"

    def _chunk_node(self, node: Any, text: str, last_end: int = 0) -> List[str]:
        new_chunks = []
        current_chunk = ""
        for child in node.children:
            if child.end_byte - child.start_byte > self.max_chars:
                # Child is too big, recursively chunk the child
                if len(current_chunk) > 0:
                    new_chunks.append(current_chunk)
                current_chunk = ""
                new_chunks.extend(self._chunk_node(child, text, last_end))
            elif (
                len(current_chunk) + child.end_byte - child.start_byte > self.max_chars
            ):
                # Child would make the current chunk too big, so start a new chunk
                new_chunks.append(current_chunk)
                current_chunk = text[last_end : child.end_byte]
            else:
                current_chunk += text[last_end : child.end_byte]
            last_end = child.end_byte
        if len(current_chunk) > 0:
            new_chunks.append(current_chunk)
        return new_chunks

    def split_text(self, text: str) -> List[str]:
        """Split incoming code and return chunks using the AST."""
        with self.callback_manager.event(
            CBEventType.CHUNKING, payload={EventPayload.CHUNKS: [text]}
        ) as event:
            tree = self._parser.parse(bytes(text, "utf-8"))

            if (
                not tree.root_node.children
                or tree.root_node.children[0].type != "ERROR"
            ):
                chunks = [
                    chunk.strip() for chunk in self._chunk_node(tree.root_node, text)
                ]
                event.on_end(
                    payload={EventPayload.CHUNKS: chunks},
                )

                return chunks
            else:
                raise ValueError(f"Could not parse code with language {self.language}.")

from_defaults classmethod

from_defaults(language: str, chunk_lines: int = DEFAULT_CHUNK_LINES, chunk_lines_overlap: int = DEFAULT_LINES_OVERLAP, max_chars: int = DEFAULT_MAX_CHARS, callback_manager: Optional[CallbackManager] = None, parser: Any = None) -> CodeSplitter

Create a CodeSplitter with default values.

Source code in llama-index-core/llama_index/core/node_parser/text/code.py

@classmethod
def from_defaults(
    cls,
    language: str,
    chunk_lines: int = DEFAULT_CHUNK_LINES,
    chunk_lines_overlap: int = DEFAULT_LINES_OVERLAP,
    max_chars: int = DEFAULT_MAX_CHARS,
    callback_manager: Optional[CallbackManager] = None,
    parser: Any = None,
) -> "CodeSplitter":
    """Create a CodeSplitter with default values."""
    return cls(
        language=language,
        chunk_lines=chunk_lines,
        chunk_lines_overlap=chunk_lines_overlap,
        max_chars=max_chars,
        callback_manager=callback_manager,
        parser=parser,
    )

split_text

split_text(text: str) -> List[str]

Split incoming code and return chunks using the AST.

Source code in llama-index-core/llama_index/core/node_parser/text/code.py

def split_text(self, text: str) -> List[str]:
    """Split incoming code and return chunks using the AST."""
    with self.callback_manager.event(
        CBEventType.CHUNKING, payload={EventPayload.CHUNKS: [text]}
    ) as event:
        tree = self._parser.parse(bytes(text, "utf-8"))

        if (
            not tree.root_node.children
            or tree.root_node.children[0].type != "ERROR"
        ):
            chunks = [
                chunk.strip() for chunk in self._chunk_node(tree.root_node, text)
            ]
            event.on_end(
                payload={EventPayload.CHUNKS: chunks},
            )

            return chunks
        else:
            raise ValueError(f"Could not parse code with language {self.language}.")