import boto3

from configs import dify_config


class ExternalDatasetTestService:
    # this service is only for internal testing
    @staticmethod
    def knowledge_retrieval(retrieval_setting: dict, query: str, knowledge_id: str):
        # get bedrock client
        client = boto3.client(
            "bedrock-agent-runtime",
            aws_secret_access_key=dify_config.AWS_SECRET_ACCESS_KEY,
            aws_access_key_id=dify_config.AWS_ACCESS_KEY_ID,
            # example: us-east-1
            region_name="us-east-1",
        )
        # fetch external knowledge retrieval
        response = client.retrieve(
            knowledgeBaseId=knowledge_id,
            retrievalConfiguration={
                "vectorSearchConfiguration": {
                    "numberOfResults": retrieval_setting.get("top_k"),
                    "overrideSearchType": "HYBRID",
                }
            },
            retrievalQuery={"text": query},
        )
        # parse response
        results = []
        if response.get("ResponseMetadata") and response.get("ResponseMetadata").get("HTTPStatusCode") == 200:
            if response.get("retrievalResults"):
                retrieval_results = response.get("retrievalResults")
                for retrieval_result in retrieval_results:
                    # filter out results with score less than threshold
                    if retrieval_result.get("score") < retrieval_setting.get("score_threshold", 0.0):
                        continue
                    result = {
                        "metadata": retrieval_result.get("metadata"),
                        "score": retrieval_result.get("score"),
                        "title": retrieval_result.get("metadata").get("x-amz-bedrock-kb-source-uri"),
                        "content": retrieval_result.get("content").get("text"),
                    }
                    results.append(result)
        return {"records": results}