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chore: import upstream snapshot with attribution
2026-07-13 13:22:28 +08:00

159 lines
5.9 KiB
Python

# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0
import io
import os
from pathlib import Path
from typing import Any, Literal
from haystack import Document, component, default_to_dict, 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 python-pptx'") as pptx_import:
from pptx import Presentation
from pptx.text.text import _Paragraph
logger = logging.getLogger(__name__)
@component
class PPTXToDocument:
"""
Converts PPTX files to Documents.
Usage example:
```python
from haystack.components.converters.pptx import PPTXToDocument
from datetime import datetime
converter = PPTXToDocument()
results = converter.run(
sources=["test/test_files/pptx/sample_pptx.pptx"], meta={"date_added": datetime.now().isoformat()}
)
documents = results["documents"]
print(documents[0].content)
# >> 'This is the text from the PPTX file.'
```
"""
def __init__(
self, store_full_path: bool = False, link_format: Literal["markdown", "plain", "none"] = "none"
) -> None:
"""
Create a PPTXToDocument component.
:param store_full_path:
If True, the full path of the file is stored in the metadata of the document.
If False, only the file name is stored.
:param link_format: The format for link output. Possible options:
- `"markdown"`: `[text](url)`
- `"plain"`: `text (url)`
- `"none"`: Only the text is extracted, link addresses are ignored.
"""
pptx_import.check()
if link_format not in ("markdown", "plain", "none"):
msg = f"Unknown link format '{link_format}'. Supported formats are: 'markdown', 'plain', 'none'"
raise ValueError(msg)
self.link_format = link_format
self.store_full_path = store_full_path
def to_dict(self) -> dict[str, Any]:
"""
Serializes the component to a dictionary.
:returns:
Dictionary with serialized data.
"""
return default_to_dict(self, link_format=self.link_format, store_full_path=self.store_full_path)
def _convert(self, file_content: io.BytesIO) -> str:
"""
Converts the PPTX file to text.
"""
pptx_presentation = Presentation(file_content)
text_all_slides = []
for slide in pptx_presentation.slides:
text_on_slide = []
for shape in slide.shapes:
if shape.has_text_frame:
paragraphs = []
for paragraph in shape.text_frame.paragraphs:
paragraphs.append(self._process_paragraph(paragraph))
text_on_slide.append("\n".join(paragraphs))
elif hasattr(shape, "text"):
text_on_slide.append(shape.text)
text_all_slides.append("\n".join(text_on_slide))
return "\f".join(text_all_slides)
def _process_paragraph(self, paragraph: "_Paragraph") -> str:
"""
Processes a paragraph and formats hyperlinks according to the specified link format.
:param paragraph: The PPTX paragraph to process.
:returns: A string with links formatted according to the specified format.
"""
if self.link_format == "none":
return paragraph.text
parts = []
for run in paragraph.runs:
if run.hyperlink and run.hyperlink.address:
if self.link_format == "markdown":
parts.append(f"[{run.text}]({run.hyperlink.address})")
else:
parts.append(f"{run.text} ({run.hyperlink.address})")
else:
parts.append(run.text)
return "".join(parts)
@component.output_types(documents=list[Document])
def run(
self, sources: list[str | Path | ByteStream], meta: dict[str, Any] | list[dict[str, Any]] | None = None
) -> dict[str, Any]:
"""
Converts PPTX 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`: Created Documents
"""
documents = []
meta_list = normalize_metadata(meta, sources_count=len(sources))
for source, metadata in zip(sources, meta_list, strict=True):
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:
text = self._convert(io.BytesIO(bytestream.data))
except Exception as e:
logger.warning(
"Could not read {source} and convert it to Document, skipping. {error}", source=source, error=e
)
continue
merged_metadata = {**bytestream.meta, **metadata}
if not self.store_full_path and (file_path := bytestream.meta.get("file_path")):
merged_metadata["file_path"] = os.path.basename(file_path)
documents.append(Document(content=text, meta=merged_metadata))
return {"documents": documents}