# 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 google.generativeai as genai
from langchain_google_genai import (
    ChatGoogleGenerativeAI,
    HarmBlockThreshold,
    HarmCategory,
)

from . import params


def make_gemini(model: str = "gemini-1.5-pro") -> ChatGoogleGenerativeAI:
    """Makes a Gemini model.

    Returns:
      Gemini model.
    """
    safety_settings = {
        HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE,
        HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE,
        HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: (
            HarmBlockThreshold.BLOCK_NONE
        ),
        HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: (
            HarmBlockThreshold.BLOCK_NONE
        ),
    }

    # TODO(danenberg): This became necessary at some point, for some
    # reason! No longer covered by `google_api_key` below. Regression?
    genai.configure(api_key=params.GOOGLE_API_KEY)

    return ChatGoogleGenerativeAI(
        model=model,
        google_api_key=params.GOOGLE_API_KEY,
        temperature=1.0,
    ).bind(safety_settings=safety_settings)