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# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0
import io
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
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 python-pptx'") as pptx_import:
from pptx import Presentation
logger = logging.getLogger(__name__)
@component
class PPTXToDocument:
"""
Converts PPTX files to Documents.
Usage example:
```python
from haystack.components.converters.pptx import PPTXToDocument
converter = PPTXToDocument()
results = converter.run(sources=["sample.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):
"""
Create an PPTXToDocument component.
"""
pptx_import.check()
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 hasattr(shape, "text"):
text_on_slide.append(shape.text)
text_all_slides.append("\n".join(text_on_slide))
text = "\f".join(text_all_slides)
return text
@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 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):
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}
documents.append(Document(content=text, meta=merged_metadata))
return {"documents": documents}