# Copyright 2025 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 logging
from typing import AsyncGenerator

from google.genai import live
from google.genai import types

from .base_llm_connection import BaseLlmConnection
from .llm_response import LlmResponse

logger = logging.getLogger(__name__)


class GeminiLlmConnection(BaseLlmConnection):
  """The Gemini model connection."""

  def __init__(self, gemini_session: live.AsyncSession):
    self._gemini_session = gemini_session

  async def send_history(self, history: list[types.Content]):
    """Sends the conversation history to the gemini model.

    You call this method right after setting up the model connection.
    The model will respond if the last content is from user, otherwise it will
    wait for new user input before responding.

    Args:
      history: The conversation history to send to the model.
    """

    # TODO: Remove this filter and translate unary contents to streaming
    # contents properly.

    # We ignore any audio from user during the agent transfer phase
    contents = [
        content
        for content in history
        if content.parts and content.parts[0].text
    ]

    if contents:
      await self._gemini_session.send(
          input=types.LiveClientContent(
              turns=contents,
              turn_complete=contents[-1].role == 'user',
          ),
      )
    else:
      logger.info('no content is sent')

  async def send_content(self, content: types.Content):
    """Sends a user content to the gemini model.

    The model will respond immediately upon receiving the content.
    If you send function responses, all parts in the content should be function
    responses.

    Args:
      content: The content to send to the model.
    """

    assert content.parts
    if content.parts[0].function_response:
      # All parts have to be function responses.
      function_responses = [part.function_response for part in content.parts]
      logger.debug('Sending LLM function response: %s', function_responses)
      await self._gemini_session.send(
          input=types.LiveClientToolResponse(
              function_responses=function_responses
          ),
      )
    else:
      logger.debug('Sending LLM new content %s', content)
      await self._gemini_session.send(
          input=types.LiveClientContent(
              turns=[content],
              turn_complete=True,
          )
      )

  async def send_realtime(self, blob: types.Blob):
    """Sends a chunk of audio or a frame of video to the model in realtime.

    Args:
      blob: The blob to send to the model.
    """

    input_blob = blob.model_dump()
    logger.debug('Sending LLM Blob: %s', input_blob)
    await self._gemini_session.send(input=input_blob)

  def __build_full_text_response(self, text: str):
    """Builds a full text response.

    The text should not partial and the returned LlmResponse is not be
    partial.

    Args:
      text: The text to be included in the response.

    Returns:
      An LlmResponse containing the full text.
    """
    return LlmResponse(
        content=types.Content(
            role='model',
            parts=[types.Part.from_text(text=text)],
        ),
    )

  async def receive(self) -> AsyncGenerator[LlmResponse, None]:
    """Receives the model response using the llm server connection.

    Yields:
      LlmResponse: The model response.
    """

    text = ''
    async for message in self._gemini_session.receive():
      logger.debug('Got LLM Live message: %s', message)
      if message.server_content:
        content = message.server_content.model_turn
        if content and content.parts:
          llm_response = LlmResponse(
              content=content, interrupted=message.server_content.interrupted
          )
          if content.parts[0].text:
            text += content.parts[0].text
            llm_response.partial = True
          # don't yield the merged text event when receiving audio data
          elif text and not content.parts[0].inline_data:
            yield self.__build_full_text_response(text)
            text = ''
          yield llm_response

        if (
            message.server_content.output_transcription
            and message.server_content.output_transcription.text
        ):
          # TODO: Right now, we just support output_transcription without
          # changing interface and data protocol. Later, we can consider to
          # support output_transcription as a separate field in LlmResponse.

          # Transcription is always considered as partial event
          # We rely on other control signals to determine when to yield the
          # full text response(turn_complete, interrupted, or tool_call).
          text += message.server_content.output_transcription.text
          parts = [
              types.Part.from_text(
                  text=message.server_content.output_transcription.text
              )
          ]
          llm_response = LlmResponse(
              content=types.Content(role='model', parts=parts), partial=True
          )
          yield llm_response

        if message.server_content.turn_complete:
          if text:
            yield self.__build_full_text_response(text)
            text = ''
          yield LlmResponse(
              turn_complete=True, interrupted=message.server_content.interrupted
          )
          break
        # in case of empty content or parts, we sill surface it
        # in case it's an interrupted message, we merge the previous partial
        # text. Other we don't merge. because content can be none when model
        # safety threshold is triggered
        if message.server_content.interrupted and text:
          yield self.__build_full_text_response(text)
          text = ''
        yield LlmResponse(interrupted=message.server_content.interrupted)
      if message.tool_call:
        if text:
          yield self.__build_full_text_response(text)
          text = ''
        parts = [
            types.Part(function_call=function_call)
            for function_call in message.tool_call.function_calls
        ]
        yield LlmResponse(content=types.Content(role='model', parts=parts))

  async def close(self):
    """Closes the llm server connection."""

    await self._gemini_session.close()
