from typing import Type, List
import pandas as pd
import boto3
import os
from chatfuncs.config import AWS_REGION, RUN_AWS_FUNCTIONS, QA_CHATBOT_BUCKET

PandasDataFrame = Type[pd.DataFrame]

# Get AWS credentials if required
bucket_name=QA_CHATBOT_BUCKET


if RUN_AWS_FUNCTIONS == "1":
    try:
        bucket_name = os.environ['']
        session = boto3.Session() # profile_name="default"
    except Exception as e:
        print("Failed to start boto3 session due to:", e)

    def get_assumed_role_info():
        sts_endpoint = 'https://sts.' + AWS_REGION + '.amazonaws.com'
        sts = boto3.client('sts', region_name=AWS_REGION, endpoint_url=sts_endpoint)
        response = sts.get_caller_identity()

        # Extract ARN of the assumed role
        assumed_role_arn = response['Arn']
        
        # Extract the name of the assumed role from the ARN
        assumed_role_name = assumed_role_arn.split('/')[-1]
        
        return assumed_role_arn, assumed_role_name

    try:
        assumed_role_arn, assumed_role_name = get_assumed_role_info()

        print("Assumed Role ARN:", assumed_role_arn)
        print("Assumed Role Name:", assumed_role_name)

    except Exception as e:
        
        print(e)

# Download direct from S3 - requires login credentials
def download_file_from_s3(bucket_name, key, local_file_path):

    if RUN_AWS_FUNCTIONS == "1":

        s3 = boto3.client('s3')
        s3.download_file(bucket_name, key, local_file_path)
        print(f"File downloaded from S3: s3://{bucket_name}/{key} to {local_file_path}")
                         
def download_folder_from_s3(bucket_name, s3_folder, local_folder):
    """
    Download all files from an S3 folder to a local folder.
    """
    if RUN_AWS_FUNCTIONS == "1":
        s3 = boto3.client('s3')

        # List objects in the specified S3 folder
        response = s3.list_objects_v2(Bucket=bucket_name, Prefix=s3_folder)

        # Download each object
        for obj in response.get('Contents', []):
            # Extract object key and construct local file path
            object_key = obj['Key']
            local_file_path = os.path.join(local_folder, os.path.relpath(object_key, s3_folder))

            # Create directories if necessary
            os.makedirs(os.path.dirname(local_file_path), exist_ok=True)

            # Download the object
            try:
                s3.download_file(bucket_name, object_key, local_file_path)
                print(f"Downloaded 's3://{bucket_name}/{object_key}' to '{local_file_path}'")
            except Exception as e:
                print(f"Error downloading 's3://{bucket_name}/{object_key}':", e)

def download_files_from_s3(bucket_name, s3_folder, local_folder, filenames):
    """
    Download specific files from an S3 folder to a local folder.
    """
    if RUN_AWS_FUNCTIONS == "1":
        s3 = boto3.client('s3')

        print("Trying to download file: ", filenames)

        if filenames == '*':
            # List all objects in the S3 folder
            print("Trying to download all files in AWS folder: ", s3_folder)
            response = s3.list_objects_v2(Bucket=bucket_name, Prefix=s3_folder)

            print("Found files in AWS folder: ", response.get('Contents', []))

            filenames = [obj['Key'].split('/')[-1] for obj in response.get('Contents', [])]

            print("Found filenames in AWS folder: ", filenames)

        for filename in filenames:
            object_key = os.path.join(s3_folder, filename)
            local_file_path = os.path.join(local_folder, filename)

            # Create directories if necessary
            os.makedirs(os.path.dirname(local_file_path), exist_ok=True)

            # Download the object
            try:
                s3.download_file(bucket_name, object_key, local_file_path)
                print(f"Downloaded 's3://{bucket_name}/{object_key}' to '{local_file_path}'")
            except Exception as e:
                print(f"Error downloading 's3://{bucket_name}/{object_key}':", e)

def upload_file_to_s3(local_file_paths:List[str], s3_key:str, s3_bucket:str=bucket_name):
    """
    Uploads a file from local machine to Amazon S3.

    Args:
    - local_file_path: Local file path(s) of the file(s) to upload.
    - s3_key: Key (path) to the file in the S3 bucket.
    - s3_bucket: Name of the S3 bucket.

    Returns:
    - Message as variable/printed to console
    """
    final_out_message = []
    final_out_message_str = ""

    if RUN_AWS_FUNCTIONS == "1":

        s3_client = boto3.client('s3')

        if isinstance(local_file_paths, str):
            local_file_paths = [local_file_paths]

        for file in local_file_paths:
            try:
                # Get file name off file path
                file_name = os.path.basename(file)

                s3_key_full = s3_key + file_name
                print("S3 key: ", s3_key_full)

                s3_client.upload_file(file, s3_bucket, s3_key_full)
                out_message = "File " + file_name + " uploaded successfully!"
                print(out_message)
            
            except Exception as e:
                out_message = f"Error uploading file(s): {e}"
                print(out_message)

            final_out_message.append(out_message)
            final_out_message_str = '\n'.join(final_out_message)

    return final_out_message_str