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data_insertion

File: data_insertion.py.

Description

This file is used to insert data into Elasticsearch.

insert_dataframe(logger, index, df)

Insert a pandas DataFrame into Elasticsearch.

Attributes:

Name Type Description
logger Logger

The logger object.
index str

The name of the Elasticsearch index to insert into.
df DataFrame

The DataFrame to insert.

Returns:

Name Type Description
response tuple[int, int | list[dict[str, list]]]

The response from the Elasticsearch bulk insertion.
Source code in src/CryptoFraudDetection/elasticsearch/data_insertion.py 
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def insert_dataframe(
    logger: Logger,
    index: str,
    df: pd.DataFrame,
) -> tuple[int, int | list[dict[str, list]]]:
    """
    Insert a pandas DataFrame into Elasticsearch.

    Attributes:
        logger (Logger): The logger object.
        index (str): The name of the Elasticsearch index to insert into.
        df (pd.DataFrame): The DataFrame to insert.

    Returns:
        response (tuple[int, int | list[dict[str, list]]]): The response from the Elasticsearch bulk insertion.

    """
    if "id" in df.columns:
        data = [
            {
                "_index": index,
                "_id": record["id"],
                "_op_type": "create",
                "_source": record,
            }
            for record in df.to_dict(orient="records")
        ]
    else:
        data = [
            {
                "_index": index,
                "_source": record,
            }
            for record in df.to_dict(orient="records")
        ]

    try:
        logger.info(f"Inserting {len(data)} records into {index}...")
        response = bulk(client=es, actions=data, raise_on_error=False)
    except BulkIndexError as e:
        logger.handle_exception(
            BulkIndexError,
            f"Skipped some documents:\n{e}",
        )
    return response

insert_dict(logger, index, data_dict)

Insert a list of dictionaries into Elasticsearch.

Attributes:

Name Type Description
logger Logger

The logger object.
index str

The name of the Elasticsearch index to insert into.
data_dict dict[str, list[str]]

The dictionary to insert.

Returns:

Name Type Description
response tuple[int, int | list[dict[str, Any]]

The response from the Elasticsearch bulk insertion.
Source code in src/CryptoFraudDetection/elasticsearch/data_insertion.py 
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def insert_dict(
    logger: Logger,
    index: str,
    data_dict: dict[str, list[str]],
) -> tuple[int, int | list[dict[str, Any]]]:
    """
    Insert a list of dictionaries into Elasticsearch.

    Attributes:
        logger (Logger): The logger object.
        index (str): The name of the Elasticsearch index to insert into.
        data_dict (dict[str, list[str]]): The dictionary to insert.

    Returns:
        response (tuple[int, int | list[dict[str, Any]]): The response from the Elasticsearch bulk insertion.

    """
    data_frame = pd.DataFrame(data_dict)
    return insert_dataframe(logger, index, data_frame)