#!/usr/bin/env python
# coding=utf-8

# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# 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.
from rich.text import Text


class Monitor:
    def __init__(self, tracked_model, logger):
        self.step_durations = []
        self.tracked_model = tracked_model
        self.logger = logger
        if getattr(self.tracked_model, "last_input_token_count", "Not found") != "Not found":
            self.total_input_token_count = 0
            self.total_output_token_count = 0

    def get_total_token_counts(self):
        return {
            "input": self.total_input_token_count,
            "output": self.total_output_token_count,
        }

    def reset(self):
        self.step_durations = []
        self.total_input_token_count = 0
        self.total_output_token_count = 0

    def update_metrics(self, step_log):
        """Update the metrics of the monitor.

        Args:
            step_log ([`AgentStepLog`]): Step log to update the monitor with.
        """
        step_duration = step_log.duration
        self.step_durations.append(step_duration)
        console_outputs = f"[Step {len(self.step_durations) - 1}: Duration {step_duration:.2f} seconds"

        if getattr(self.tracked_model, "last_input_token_count", None) is not None:
            self.total_input_token_count += self.tracked_model.last_input_token_count
            self.total_output_token_count += self.tracked_model.last_output_token_count
            console_outputs += (
                f"| Input tokens: {self.total_input_token_count:,} | Output tokens: {self.total_output_token_count:,}"
            )
        console_outputs += "]"
        self.logger.log(Text(console_outputs, style="dim"), level=1)


__all__ = ["Monitor"]
