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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 | |
| logger = logging.getLogger(__name__) | |
| class CSVToDocument: | |
| """ | |
| Converts CSV files to Documents. | |
| By default, it uses UTF-8 encoding when converting files but | |
| you can also set a custom encoding. | |
| It can attach metadata to the resulting documents. | |
| ### Usage example | |
| ```python | |
| from haystack.components.converters.csv import CSVToDocument | |
| converter = CSVToDocument() | |
| results = converter.run(sources=["sample.csv"], meta={"date_added": datetime.now().isoformat()}) | |
| documents = results["documents"] | |
| print(documents[0].content) | |
| # 'col1,col2\now1,row1\nrow2row2\n' | |
| ``` | |
| """ | |
| def __init__(self, encoding: str = "utf-8"): | |
| """ | |
| Creates a CSVToDocument component. | |
| :param encoding: | |
| The encoding of the csv files to convert. | |
| If the encoding is specified in the metadata of a source ByteStream, | |
| it overrides this value. | |
| """ | |
| self.encoding = encoding | |
| def run( | |
| self, | |
| sources: List[Union[str, Path, ByteStream]], | |
| meta: Optional[Union[Dict[str, Any], List[Dict[str, Any]]]] = None, | |
| ): | |
| """ | |
| Converts a CSV file to a Document. | |
| :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: | |
| encoding = bytestream.meta.get("encoding", self.encoding) | |
| data = io.BytesIO(bytestream.data).getvalue().decode(encoding=encoding) | |
| except Exception as e: | |
| logger.warning( | |
| "Could not convert file {source}. Skipping it. Error message: {error}", source=source, error=e | |
| ) | |
| continue | |
| merged_metadata = {**bytestream.meta, **metadata} | |
| document = Document(content=data, meta=merged_metadata) | |
| documents.append(document) | |
| return {"documents": documents} | |