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Reference for MarkdownChunker

The MarkdownChunker is used to process the documents parsed to a MarkdownDoc object.

Bases: AbstractChunker

__init__(*, max_headers_to_use='h4', max_chunk_word_count=200, hard_max_chunk_word_count=400, min_chunk_word_count=15, hard_max_chunk_token_count=None, tokenizer=None)

Initialize a Markdown chunker

Parameters:

Name Type Description Default
max_headers_to_use (MaxHeadersToUse)

The maximum header level to consider (included). Headers with level lower than this wont be used to split chunks. For example, if 'h4' is set, then 'h5' and 'h6' headers won't be used. Must be a string of type 'hx' with x being the title level ranging from 1 to 6.

required
max_chunk_word_count (int)

The maximum size a chunk can be (in words). It is a SOFT limit, meaning that chunks bigger that this will be chunked only if lower level headers if any are available."

required
hard_max_chunk_word_count (int)

The true maximum size a chunk can be (in word). It is a HARD limit, meaning that chunks bigger by this limit will be split into subchunks.

required
min_chunk_word_count (int)

The minimum size a chunk can be (in words). Chunks smaller than this will be discarded.

required
hard_max_chunk_token_count (None | int)

The true maximum size a chunk can be (in tokens). If None, no token-based splitting will be done. It is a HARD limit, meaning that chunks bigger by this limit will be split into subchunks that are equivalent in terms of tokens count.

required
tokenizer (SupportsEncode | None)

The tokenizer to use. Can be any instance of a class that has 'encode' method such as tiktoken.

required

build_chunks(toc_tree_element, parent_headers=None)

Uses the toc tree to build the chunks. Method: - if the section (title + content + all descendants) fits within max_chunk_word_count: - save it as a single chunk - otherwise: - save the section's own content as a chunk (if non-empty) - subdivide into children recursively

Parameters:

Name Type Description Default
toc_tree_element TocTree

the TocTree for which the chunk should be built.

required
parent_headers list[MarkdownLine] | None

ancestor header lines. Defaults to None (root call).

None

Returns:

Type Description
list[Chunk]

list[Chunk]: list of chunks.

chunk(content)

Chunks a parsed Markdown document.

Parameters:

Name Type Description Default
content MarkdownDoc

the markdown document to chunk. Might be the output of a chunknorris.Parser.

required

Returns:

Type Description
list[Chunk]

list[Chunk]: the chunks.

get_chunks(toc_tree)

Wrapper that build the chunk's texts, check that they fit in size, replace links formatting.

Parameters:

Name Type Description Default
toc_tree TocTree

the toc tree of the document.

required

Returns:

Name Type Description
Chunks list[Chunk]

the chunks text, formatted.

get_toc_tree(md_lines)

Builds the table of content tree based on header.

Parameters:

Name Type Description Default
md_lines list[MarkdownLines]

the markdown lines.

required

Returns:

Name Type Description
TocTree TocTree

the table of content.

remove_small_chunks(chunks)

Removes chunks that have less words than the specified limit.

Parameters:

Name Type Description Default
chunks Chunks

the list of chunks.

required

Returns:

Name Type Description
Chunks list[Chunk]

the chunks with more words than the specified threshold.

split_big_chunks_tokenbased(chunks)

Splits the chunks that are too big considering the provided tokenizer.

Parameters:

Name Type Description Default
chunks list[Chunk]

the chunks to split.

required

Raises:

Type Description
ValueError

if the tokenizer is not provided.

ValueError

if the tokenizer does not have 'encode' method.

Returns:

Type Description
list[Chunk]

list[Chunk]: the chunks, with big chunks splitting into smaller chunks.

split_big_chunks_wordbased(chunks)

Splits the chunks that are too big. You may consider passing the kwarg "hard_max_chunk_word_count" to specify the limit size of the chunk (in words).

Parameters:

Name Type Description Default
chunks Chunks

The chunks obtained from the get_chunks() method.

required

Returns:

Name Type Description
Chunks list[Chunk]

the chunks, with big chunks splitted into smaller chunks.