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from typing import Iterator | |
from langchain_core.documents import Document | |
from langchain_community.document_loaders.base import BaseBlobParser | |
from langchain_community.document_loaders.blob_loaders import Blob | |
class XlsxParser(BaseBlobParser): | |
"""Parse Microsoft Excel spreadsheets from a blob.""" | |
def lazy_parse(self, blob: Blob) -> Iterator[Document]: | |
"""Parse a Microsoft Excel document into the Document iterator. | |
Args: | |
blob: The blob to parse. | |
Returns: An iterator of Documents. | |
""" | |
try: | |
from openpyxl import load_workbook | |
except ImportError as e: | |
raise ImportError( | |
"Could not import openpyxl, please install with `pip install openpyxl`." | |
) from e | |
supported_mime_types = [ | |
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" # .xlsx | |
] | |
# Debugging: Print MIME type | |
print(f"Blob MIME type: {blob.mimetype}") | |
if blob.mimetype not in supported_mime_types: | |
raise ValueError( | |
f"This blob type is not supported for this parser. Supported types are: {supported_mime_types}" | |
) | |
with blob.as_bytes_io() as xlsx_file: | |
workbook = load_workbook(xlsx_file, data_only=True) | |
for sheet in workbook.sheetnames: | |
worksheet = workbook[sheet] | |
text = "" | |
for row in worksheet.iter_rows(values_only=True): | |
row_data = "\t".join([str(cell) if cell is not None else "" for cell in row]) | |
text += row_data + "\n" | |
metadata = {"source": blob.source, "sheet": sheet} | |
yield Document(page_content=text, metadata=metadata) | |