#!/usr/bin/env python3

# MIT License
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# Copyright (c) 2024-2026 Advanced Micro Devices, Inc. All rights reserved.
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# Regression coverage for the hsa-runtime InterceptQueue retry/overflow hang
# during counter collection. The multistream workload launches 100 streams x
# 100 iterations = 10000 kernel dispatches. Counter collection rewrites every
# dispatch (counter start/stop packets) via the hsa-runtime InterceptQueue, so
# a regression either hangs (the execute test hits its TIMEOUT) or drops
# dispatches / corrupts the ring copy. The assertions below require that all
# 10000 dispatches were captured with valid SQ_WAVES data.

import sys
import pytest
import pandas as pd
import re

# multistream: 100 streams x 100 iterations (see tests/bin/multistream/multistream_app.cpp)
EXPECTED_DISPATCHES = 100 * 100
KERNEL_NAME = "add(int, float*, float*)"


def is_helper(name):
    return bool(re.search(r"__amd_rocclr_.*", name))


def test_validate_counter_collection_queue_overflow(input_data: pd.DataFrame):
    df = input_data

    assert not df.empty
    df_agent_id = df["Agent_Id"].str.split(" ").str[-1]
    assert (df_agent_id.astype(int).values >= 0).all()
    assert (df["Queue_Id"].astype(int).values > 0).all()
    assert (df["Process_Id"].astype(int).values > 0).all()

    # only real (non-rocclr-helper) kernel dispatched by multistream is the add kernel
    real_kernels = sorted(
        x for x in df["Kernel_Name"].unique().tolist() if not is_helper(x)
    )
    assert real_kernels == [KERNEL_NAME]

    # all counters requested are SQ_WAVES and every dispatch reported a positive value
    assert df["Counter_Name"].str.contains("SQ_WAVES").all()
    assert (df["Counter_Value"].astype(int).values > 0).all()

    # key regression check: every one of the 10000 dispatches was captured (a hang or
    # out-of-bounds ring copy in the overflow/retry path would strand or drop dispatches)
    add_rows = df[df["Kernel_Name"] == KERNEL_NAME]
    assert len(add_rows) == EXPECTED_DISPATCHES

    # dispatch ids are unique and contiguous from 1
    di_list = df["Dispatch_Id"].astype(int).values.tolist()
    di_uniq = sorted(df["Dispatch_Id"].unique().tolist())
    di_expect = [idx + 1 for idx in range(len(di_list))]
    assert di_expect == di_uniq


def test_validate_counter_collection_queue_overflow_json(json_data):
    data = json_data["rocprofiler-sdk-tool"]
    counter_collection_data = data["callback_records"]["counter_collection"]

    # at present, AQLProfile has bugs when reporting the counters for below architectures
    skip_gfx = ("gfx1101", "gfx1102", "gfx1150", "gfx1151", "gfx1152", "gfx1153")

    def get_kernel_name(kernel_id):
        return data["kernel_symbols"][kernel_id]["formatted_kernel_name"]

    def get_agent(agent_id):
        for agent in data["agents"]:
            if agent["id"]["handle"] == agent_id["handle"]:
                return agent
        return None

    def get_counter(counter_id):
        for counter in data["counters"]:
            if counter["id"]["handle"] == counter_id["handle"]:
                return counter
        return None

    dispatch_ids = []
    add_dispatches = 0
    for counter in counter_collection_data:
        dispatch_data = counter["dispatch_data"]["dispatch_info"]

        assert dispatch_data["dispatch_id"] > 0
        assert dispatch_data["agent_id"]["handle"] > 0
        assert dispatch_data["queue_id"]["handle"] > 0

        agent = get_agent(dispatch_data["agent_id"])
        kernel_name = get_kernel_name(dispatch_data["kernel_id"])

        assert agent is not None
        assert len(kernel_name) > 0

        dispatch_ids.append(dispatch_data["dispatch_id"])

        if is_helper(kernel_name):
            continue
        add_dispatches += 1

        sq_waves_values = []
        for record in counter["records"]:
            counter_meta = get_counter(record["counter_id"])
            assert counter_meta is not None, f"record:\n\t{record}"
            assert (
                counter_meta["name"] == "SQ_WAVES"
            ), f"record:\n\t{record}\ncounter:\n\t{counter_meta}"
            if agent["name"] not in skip_gfx:
                sq_waves_values.append(record["value"])

        if agent["name"] not in skip_gfx:
            assert sum(sq_waves_values) > 0, "SQ_WAVES value is not > 0"

    # key regression check: all 10000 dispatches captured, none stranded/dropped
    assert add_dispatches == EXPECTED_DISPATCHES

    di_uniq = sorted(set(dispatch_ids))
    di_expect = [idx + 1 for idx in range(len(dispatch_ids))]
    assert di_expect == di_uniq


if __name__ == "__main__":
    exit_code = pytest.main(["-x", __file__] + sys.argv[1:])
    sys.exit(exit_code)