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import csv
import io
from typing import List, Dict, Tuple
import json
class Utilities:
@staticmethod
def process_json_input(json_input: str) -> Tuple[str, List[str]]:
"""
Parse JSON input and return the file path and PII fields.
The JSON string is required to have:
- file_path: the path to the file to be processed
- pii_fields: a list of fields to be obfuscated
Args:
json_input (str): A JSON string containing the file path and PII fields
Raises:
ValueError: If the JSON input is missing "file_path" or "pii_fields"
Returns:
Tuple[str, List[str]]: A tuple containing the file path and PII fields, respectively
"""
data = json.loads(json_input)
if not data.get("file_path") or not data.get("pii_fields"):
raise ValueError(
"Missing required file_path & pii_fields entries in JSON input"
)
return data["file_path"], data["pii_fields"]
@staticmethod
def get_s3_path(uri) -> Tuple[str, str]:
"""
Extract the S3 bucket name and key from a given S3 URI.
Args:
uri (_type_): The S3 URI to extract the bucket and key from
Returns:
Tuple[str, str]: A tuple containing the bucket name and the key, respectively
"""
parts = uri.replace("s3://", "").split("/")
bucket = parts.pop(0)
key = "/".join(parts)
return bucket, key
@staticmethod
def create_byte_stream(data: List[Dict[str, str]]) -> bytes:
"""
Convert a list of dictionaries (representing CSV rows) into a CSV byte stream.
If the input data is empty, an empty byte stream is returned.
Args:
data (List[Dict[str, str]]): A list of dictionaries representing CSV rows
Returns:
bytes: A byte stream representing the CSV data
"""
if not data:
return b""
output = io.StringIO()
headers = list(data[0].keys())
writer = csv.DictWriter(output, fieldnames=headers)
writer.writeheader()
writer.writerows(data)
csv_string = output.getvalue()
return csv_string.encode("utf-8")
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