# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import base64
from functools import lru_cache

from google.cloud import aiplatform
from google.cloud import storage
import vertexai

from config.default import Default


# Initialize Configuration
cfg = Default()
vertexai.init(project=cfg.PROJECT_ID, location=cfg.LOCATION)
aiplatform.init(project=cfg.PROJECT_ID, location=cfg.LOCATION)


def store_to_gcs(
    folder: str, file_name: str, mime_type: str, contents: str, decode: bool = False
):
    """store contents to GCS"""
    client = storage.Client(project=cfg.PROJECT_ID)
    bucket = client.get_bucket(cfg.GENMEDIA_BUCKET)
    destination_blob_name = f"{folder}/{file_name}"
    blob = bucket.blob(destination_blob_name)
    if decode:
        contents_bytes = base64.b64decode(contents)
        blob.upload_from_string(contents_bytes, content_type=mime_type)
    else:
        blob.upload_from_string(contents, content_type=mime_type)
    return f"{cfg.GENMEDIA_BUCKET}/{destination_blob_name}"

@lru_cache()
def download_gcs_blob(gs_uri: str) -> bytes:
    gcs_client: storage.Client = storage.Client(project=cfg.PROJECT_ID)
    bucket, blob = gs_uri[5:].split("/", maxsplit=1)
    blob = gcs_client.bucket(bucket).blob(blob)
    blob_content = blob.download_as_bytes()
    return blob_content

def check_gcs_blob_exists(gcs_blob_uri: str) -> bool:
    """Check if a GCS blob exists."""
    try:
        gcs_client: storage.Client = storage.Client(project=cfg.PROJECT_ID)
        bucket, blob = gcs_blob_uri[5:].split("/", maxsplit=1)
        blob = gcs_client.bucket(bucket).blob(blob)
        return blob.exists()
    except Exception as e:
        print(f"Error checking existence of {gcs_blob_uri}: {e}")
        return False