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48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
from csv import DictReader
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from typing import Dict, List, Optional
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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class CSVLoader(BaseLoader):
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"""Loads a CSV file into a list of documents.
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Each document represents one row of the CSV file. Every row is converted into a
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key/value pair and outputted to a new line in the document's page_content.
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Output Example:
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.. code-block:: txt
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column1: value1
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column2: value2
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column3: value3
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"""
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def __init__(self, file_path: str, csv_args: Optional[Dict] = None):
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self.file_path = file_path
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if csv_args is None:
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self.csv_args = {
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"delimiter": ",",
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"quotechar": '"',
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}
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else:
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self.csv_args = csv_args
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def load(self) -> List[Document]:
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docs = []
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with open(self.file_path, newline="") as csvfile:
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csv = DictReader(csvfile, **self.csv_args) # type: ignore
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for i, row in enumerate(csv):
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docs.append(
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Document(
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page_content="\n".join(
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f"{k.strip()}: {v.strip()}" for k, v in row.items()
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),
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metadata={"source": self.file_path, "row": i},
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)
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)
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return docs
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