#!/usr/bin/env python3
# MIT License
#
# Copyright (c) 2023-2025 Advanced Micro Devices, Inc. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.


import json
import os
import pytest
import pandas as pd

from rocprofiler_sdk.pytest_utils.dotdict import dotdict
from rocprofiler_sdk.pytest_utils import collapse_dict_list


def pytest_addoption(parser):
    parser.addoption(
        "--input-samples-csv",
        action="store",
        help="Path to CSV file containing PC samples.",
    )

    parser.addoption(
        "--input-kernel-trace-csv",
        action="store",
        help="Path to CSV file containing kernel trace.",
    )

    parser.addoption(
        "--input-agent-info-csv",
        action="store",
        help="Path to CSV file containing agents information.",
    )

    parser.addoption(
        "--input-samples-json",
        action="store",
        help="Path to JSON file containing PC samples.",
    )


@pytest.fixture
def input_samples_csv(request):
    filename = request.config.getoption("--input-samples-csv")
    if not os.path.isfile(filename):
        # The CSV file is not generated, because the dependency test
        # responsible to generate this file was skipped or failed.
        # Thus emit the message to skip this test as well.
        print("PC sampling unavailable")
    else:
        with open(filename, "r") as inp:
            return pd.read_csv(
                inp,
                na_filter=False,  # parse empty fields as ""
                keep_default_na=False,  # parse empty fields as ""
                dtype={
                    "Exec_Mask": "uint64",
                    "Instruction": str,
                    "Instruction_Comment": str,
                    "Wave_Issued_Instruction": bool,
                    "Instruction_Type": str,
                    "Stall_Reason": str,
                },
            )


@pytest.fixture
def input_kernel_trace_csv(request):
    filename = request.config.getoption("--input-kernel-trace-csv")
    with open(filename, "r") as inp:
        return pd.read_csv(inp)


@pytest.fixture
def input_agent_info_csv(request):
    filename = request.config.getoption("--input-agent-info-csv")
    with open(filename, "r") as inp:
        return pd.read_csv(
            inp,
            na_filter=False,  # parse empty fields as ""
            keep_default_na=False,  # parse empty fields as ""
            dtype={
                "Name": str,
            },
        )


@pytest.fixture
def input_samples_json(request):
    filename = request.config.getoption("--input-samples-json")
    if not os.path.isfile(filename):
        # The CSV file is not generated, because the dependency test
        # responsible to generate this file was skipped or failed.
        # Thus emit the message to skip this test as well.
        print("PC sampling unavailable")
    else:
        with open(filename, "r") as inp:
            # Significant overhead of 5-6secs observed when feeding
            # data into the dotdict.
            # Using plain python dict instead
            return collapse_dict_list(json.load(inp))
