# Copyright 2026 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.

"""ADK agent with vector search RAG tool."""

from __future__ import annotations

import os

from google.adk.agents.llm_agent import Agent

from .config_helper import settings
from .vector_search_tool import VectorSearchTool

# Set environment variables for Google GenAI Client to use Vertex AI
os.environ["GOOGLE_CLOUD_PROJECT"] = settings.project_id
os.environ["GOOGLE_CLOUD_LOCATION"] = settings.location

# Create vector search tool with configuration
vector_search_tool = VectorSearchTool(
    name='conocimiento',
    description='Search the vector index for company products and services information',
    embedder=settings.embedder,
    project_id=settings.project_id,
    location=settings.location,
    bucket=settings.bucket,
    index_name=settings.index_name,
    index_endpoint=settings.index_endpoint,
    index_deployed_id=settings.index_deployed_id,
    similarity_top_k=5,
    min_similarity_threshold=0.6,
    relative_threshold_factor=0.9,
)

# Create agent with vector search tool
# Configure model with Vertex AI fully qualified path
model_path = (
    f'projects/{settings.project_id}/locations/{settings.location}/'
    f'publishers/google/models/{settings.agent_language_model}'
)

root_agent = Agent(
    model=model_path,
    name=settings.agent_name,
    description='A helpful assistant for user questions.',
    instruction=settings.agent_instructions,
    tools=[vector_search_tool],
)