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from csv import DictReader
from typing import Dict, List, Optional
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
class CSVLoader(BaseLoader):
"""Loads a CSV file into a list of documents.
Each document represents one row of the CSV file. Every row is converted into a
key/value pair and outputted to a new line in the document's page_content.
The source for each document loaded from csv is set to the value of the
`file_path` argument for all doucments by default.
You can override this by setting the `source_column` argument to the
name of a column in the CSV file.
The source of each document will then be set to the value of the column
with the name specified in `source_column`.
Output Example:
.. code-block:: txt
column1: value1
column2: value2
column3: value3
"""
def __init__(
self,
file_path: str,
source_column: Optional[str] = None,
csv_args: Optional[Dict] = None,
encoding: Optional[str] = None,
):
self.file_path = file_path
self.source_column = source_column
self.encoding = encoding
if csv_args is None:
self.csv_args = {
"delimiter": ",",
"quotechar": '"',
}
else:
self.csv_args = csv_args
def load(self) -> List[Document]:
docs = []
with open(self.file_path, newline="", encoding=self.encoding) as csvfile:
csv = DictReader(csvfile, **self.csv_args) # type: ignore
for i, row in enumerate(csv):
content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items())
if self.source_column is not None:
source = row[self.source_column]
else:
source = self.file_path
metadata = {"source": source, "row": i}
doc = Document(page_content=content, metadata=metadata)
docs.append(doc)
return docs
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