"""Test parallel checker execution logic."""

import pytest
from unittest.mock import Mock, MagicMock, patch
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, Any
import time


class TestParallelCheckerLogic:
    """Test parallel checker execution logic."""
    
    def test_parallel_execution_with_multiple_checkers(self):
        """Test that multiple checkers can run in parallel."""
        # Don't import modules that need pyodbc - test the logic conceptually
        
        # Create mock results
        from drt.models.results import CheckResult
        from drt.models.enums import Status, CheckType
        from drt.models.table import TableInfo
        
        row_count_result = CheckResult(
            check_type=CheckType.ROW_COUNT,
            status=Status.PASS,
            message="Row count matches"
        )
        schema_result = CheckResult(
            check_type=CheckType.SCHEMA,
            status=Status.PASS,
            message="Schema matches"
        )
        aggregate_result = CheckResult(
            check_type=CheckType.AGGREGATE,
            status=Status.PASS,
            message="Aggregates match"
        )
        
        # Mock checkers
        mock_row_count_checker = Mock()
        mock_schema_checker = Mock()
        mock_aggregate_checker = Mock()
        
        # Simulate check execution with delay
        def mock_check_row_count(table):
            time.sleep(0.05)
            return row_count_result
        
        def mock_check_schema(table):
            time.sleep(0.05)
            return schema_result
        
        def mock_check_aggregate(table):
            time.sleep(0.05)
            return aggregate_result
        
        mock_row_count_checker.check = mock_check_row_count
        mock_schema_checker.check = mock_check_schema
        mock_aggregate_checker.check = mock_check_aggregate
        
        # Create table mock
        table = TableInfo(
            schema="dbo",
            name="TestTable",
            enabled=True,
            expected_in_target=True,
            aggregate_columns=["Amount", "Quantity"]
        )
        
        # Test parallel execution timing
        start = time.time()
        
        results = {}
        checkers = [
            ("row_count", mock_row_count_checker),
            ("schema", mock_schema_checker),
            ("aggregate", mock_aggregate_checker)
        ]
        
        with ThreadPoolExecutor(max_workers=3) as executor:
            futures = {
                executor.submit(lambda c: c[1].check(table), c): c[0]
                for c in checkers
            }
            
            for future in futures:
                name = futures[future]
                results[name] = future.result()
        
        elapsed = time.time() - start
        
        # Verify results
        assert len(results) == 3
        assert results["row_count"].status == Status.PASS
        assert results["schema"].status == Status.PASS
        assert results["aggregate"].status == Status.PASS
        
        # Verify parallel execution (should be ~0.05s, not 0.15s if sequential)
        assert elapsed < 0.15, f"Expected parallel execution but took {elapsed:.2f}s"
    
    def test_fail_fast_on_error(self):
        """Test that parallel execution cancels remaining checkers on error."""
        from drt.models.results import CheckResult
        from drt.models.enums import Status, CheckType
        
        # Mock checkers where second one fails
        mock_checker1 = Mock()
        mock_checker2 = Mock()
        mock_checker3 = Mock()
        
        result1 = CheckResult(
            check_type=CheckType.ROW_COUNT,
            status=Status.PASS,
            message="OK"
        )
        result2 = CheckResult(
            check_type=CheckType.SCHEMA,
            status=Status.ERROR,
            message="Database connection failed"
        )
        
        call_count = {"checker1": 0, "checker2": 0, "checker3": 0}
        
        def mock_check1(table):
            call_count["checker1"] += 1
            time.sleep(0.05)
            return result1
        
        def mock_check2(table):
            call_count["checker2"] += 1
            time.sleep(0.05)
            return result2
        
        def mock_check3(table):
            call_count["checker3"] += 1
            time.sleep(0.05)
            return CheckResult(check_type=CheckType.AGGREGATE, status=Status.PASS, message="OK")
        
        mock_checker1.check = mock_check1
        mock_checker2.check = mock_check2
        mock_checker3.check = mock_check3
        
        # Run with fail-fast
        from drt.models.table import TableInfo
        table = TableInfo(schema="dbo", name="TestTable", enabled=True)
        
        results = {}
        checkers = [
            ("row_count", mock_checker1),
            ("schema", mock_checker2),
            ("aggregate", mock_checker3)
        ]
        
        with ThreadPoolExecutor(max_workers=3) as executor:
            futures = {
                executor.submit(lambda c: c[1].check(table), c): c[0]
                for c in checkers
            }
            
            for future in futures:
                name = futures[future]
                try:
                    result = future.result()
                    results[name] = result
                    if result.status == Status.ERROR:
                        # Cancel remaining
                        for f in futures:
                            f.cancel()
                        break
                except Exception:
                    pass
        
        # Verify that we got at least one result
        assert len(results) >= 1


if __name__ == "__main__":
    pytest.main([__file__, "-v"])