"""
End-to-end tests for TrainModel workflow – main workflow scenarios.

Covers:
  1.1.x – Happy-path training (various scenarios from docs/test-scenarios/)
  1.2.x – Error paths (MinIO failure, missing DB row)
"""

import pytest
import pytest_asyncio
from temporalio.testing import WorkflowEnvironment
from temporalio.worker import Worker

from e2e.helpers import (
    assert_experiment_error,
    assert_experiment_run_name_set,
    assert_experiment_status,
    insert_experiment_run,
    load_scenario,
    make_workflow_id,
    start_and_await_workflow,
)
from model_manager.workflows.train_model import TrainModel


# ---------------------------------------------------------------------------
# 1.1 – Happy paths
# ---------------------------------------------------------------------------

@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_1_linear_regression_basic(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.1 – Linear Regression Basic (cenário 01).

    Validates the complete training pipeline end-to-end:
    load_model_metadata → validate_train_params → train_model →
    update_experiment_run (TRAINING_SUCCESS).
    """
    scenario = load_scenario('01-linear-regression-basic.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-1'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')
    assert_experiment_run_name_set(postgres_engine, experiment_run_id)


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_2_polynomial_regression_degree2_with_scaler(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.2 – Polynomial Regression Degree 2 with Standard Scaler (cenário 03)."""
    scenario = load_scenario('03-polynomial-regression-degree2.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-2'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')
    assert_experiment_run_name_set(postgres_engine, experiment_run_id)


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_3_linear_regression_with_lags(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.3 – Linear Regression with lag_train/lag_val per variable (cenário 05)."""
    scenario = load_scenario('05-linear-regression-with-lags.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-3'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')
    assert_experiment_run_name_set(postgres_engine, experiment_run_id)


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_4_linear_regression_nan_interpolation(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.4 – nan_treatment='linear interpolation' (cenário 06)."""
    scenario = load_scenario('06-linear-regression-nan-interpolation.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-4'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_5_linear_regression_with_limits(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.5 – support_filters with min/max limits per variable (cenário 08)."""
    scenario = load_scenario('08-linear-regression-with-limits.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-5'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_6_polynomial_degree2_scaler_and_lags(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.6 – Polynomial degree 2, Standard Scaler and lags (cenário 09)."""
    scenario = load_scenario('09-polynomial-degree2-with-scaler-and-lags.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-6'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')
    assert_experiment_run_name_set(postgres_engine, experiment_run_id)


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_7_static_window_removal(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.7 – rem_static_win=true with window and static_threshold (cenário 11)."""
    scenario = load_scenario('11-linear-regression-static-threshold-custom.json')
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-7'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_1_8_polynomial_with_support_filters(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.1.8 – Polynomial degree 4, Standard Scaler, upper/lower support filters (cenário 14)."""
    scenario = load_scenario('14-angular-test-polynomial-support-filters.json')
    # Override date range to match rows in our test CSV
    scenario['data_model_kwargs']['start_date'] = '2025-06-02 00:00:00'
    scenario['data_model_kwargs']['end_date'] = '2025-06-06 23:59:59'
    experiment_run_id = scenario['experiment_run_id']
    insert_experiment_run(postgres_engine, experiment_run_id)

    await start_and_await_workflow(
        temporal_test_env.client,
        TrainModel.run,
        scenario,
        make_workflow_id('test-s1-1-8'),
    )

    assert_experiment_status(postgres_engine, experiment_run_id, 'TRAINING_SUCCESS')


# ---------------------------------------------------------------------------
# 1.2 – Error paths
# ---------------------------------------------------------------------------

@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_2_1_minio_file_not_found(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.2.1 – Training file does not exist in MinIO → TRAINING_ERROR."""
    scenario = load_scenario('01-linear-regression-basic.json')
    scenario = {**scenario, 'experiment_run_id': 2001, 'file_name': 'does_not_exist.csv'}
    experiment_run_id = 2001
    insert_experiment_run(postgres_engine, experiment_run_id)

    with pytest.raises(Exception):
        await start_and_await_workflow(
            temporal_test_env.client,
            TrainModel.run,
            scenario,
            make_workflow_id('test-s1-2-1'),
        )

    assert_experiment_error(
        postgres_engine,
        experiment_run_id,
        expected_status='TRAINING_ERROR',
        error_substr='does_not_exist',
    )


@pytest.mark.asyncio
@pytest.mark.integration
async def test_scenario_1_2_2_experiment_run_id_not_in_db(
    temporal_test_env: WorkflowEnvironment,
    temporal_worker: Worker,
    postgres_engine,
):
    """Scenario 1.2.2 – experiment_run_id row absent → update_experiment_run raises."""
    scenario = load_scenario('01-linear-regression-basic.json')
    scenario = {**scenario, 'experiment_run_id': 9999}
    # Intentionally NOT inserting the row

    with pytest.raises(Exception):
        await start_and_await_workflow(
            temporal_test_env.client,
            TrainModel.run,
            scenario,
            make_workflow_id('test-s1-2-2'),
        )

    from e2e.helpers import assert_no_experiment_row
    assert_no_experiment_row(postgres_engine, 9999)