hc99's picture
Add files using upload-large-folder tool
362a075 verified
# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from tqdm import tqdm
from haystack import Document, component, logging
from haystack.components.converters.utils import get_bytestream_from_source, normalize_metadata
from haystack.dataclasses import ByteStream
from haystack.lazy_imports import LazyImport
with LazyImport("Run 'pip install markdown-it-py mdit_plain'") as markdown_conversion_imports:
from markdown_it import MarkdownIt
from mdit_plain.renderer import RendererPlain
logger = logging.getLogger(__name__)
@component
class MarkdownToDocument:
"""
Converts a Markdown file into a text Document.
Usage example:
```python
from haystack.components.converters import MarkdownToDocument
from datetime import datetime
converter = MarkdownToDocument()
results = converter.run(sources=["path/to/sample.md"], meta={"date_added": datetime.now().isoformat()})
documents = results["documents"]
print(documents[0].content)
# 'This is a text from the markdown file.'
```
"""
def __init__(self, table_to_single_line: bool = False, progress_bar: bool = True):
"""
Create a MarkdownToDocument component.
:param table_to_single_line:
If True converts table contents into a single line.
:param progress_bar:
If True shows a progress bar when running.
"""
markdown_conversion_imports.check()
self.table_to_single_line = table_to_single_line
self.progress_bar = progress_bar
@component.output_types(documents=List[Document])
def run(
self,
sources: List[Union[str, Path, ByteStream]],
meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None,
):
"""
Converts a list of Markdown files to Documents.
:param sources:
List of file paths or ByteStream objects.
:param meta:
Optional metadata to attach to the Documents.
This value can be either a list of dictionaries or a single dictionary.
If it's a single dictionary, its content is added to the metadata of all produced Documents.
If it's a list, the length of the list must match the number of sources, because the two lists will
be zipped.
If `sources` contains ByteStream objects, their `meta` will be added to the output Documents.
:returns:
A dictionary with the following keys:
- `documents`: List of created Documents
"""
parser = MarkdownIt(renderer_cls=RendererPlain)
if self.table_to_single_line:
parser.enable("table")
documents = []
meta_list = normalize_metadata(meta=meta, sources_count=len(sources))
for source, metadata in tqdm(
zip(sources, meta_list),
total=len(sources),
desc="Converting markdown files to Documents",
disable=not self.progress_bar,
):
try:
bytestream = get_bytestream_from_source(source)
except Exception as e:
logger.warning("Could not read {source}. Skipping it. Error: {error}", source=source, error=e)
continue
try:
file_content = bytestream.data.decode("utf-8")
text = parser.render(file_content)
except Exception as conversion_e:
logger.warning(
"Failed to extract text from {source}. Skipping it. Error: {error}",
source=source,
error=conversion_e,
)
continue
merged_metadata = {**bytestream.meta, **metadata}
document = Document(content=text, meta=merged_metadata)
documents.append(document)
return {"documents": documents}