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61 lines
2.0 KiB
Python
61 lines
2.0 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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The source for each document loaded from csv is set to the value of the
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`file_path` argument for all doucments by default.
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You can override this by setting the `source_column` argument to the
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name of a column in the CSV file.
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The source of each document will then be set to the value of the column
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with the name specified in `source_column`.
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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__(
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self,
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file_path: str,
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source_column: Optional[str] = None,
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csv_args: Optional[Dict] = None,
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):
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self.file_path = file_path
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self.source_column = source_column
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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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content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items())
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if self.source_column is not None:
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source = row[self.source_column]
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else:
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source = self.file_path
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metadata = {"source": source, "row": i}
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doc = Document(page_content=content, metadata=metadata)
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docs.append(doc)
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return docs
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