"""
Tests for Semantic Function Dispatch and Enhanced Type Coercion.

This module tests the issues and desired behaviors for semantic function dispatch
where functions adapt their behavior based on expected return type context.

Copyright © 2025 Aitomatic, Inc.
MIT License

Community Values:
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    2. Contributions: If you find Dana/Dana valuable, consider contributing improvements back rather than creating separate, similar implementations.
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Learn more: https://aitomatic.com
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"""

import unittest

import pytest

from dana.core.lang.dana_sandbox import DanaSandbox
from dana.core.lang.parser.utils.parsing_utils import ParserCache


@pytest.mark.unit
class TestCurrentSemanticIssues(unittest.TestCase):
    """Test current semantic type coercion issues that need to be fixed."""

    def setUp(self):
        """Set up test environment."""
        self.parser = ParserCache.get_parser("dana")
        self.sandbox = DanaSandbox()

    def tearDown(self):
        """Clean up test environment."""
        if hasattr(self, "sandbox"):
            self.sandbox._cleanup()

    def test_zero_representation_inconsistency(self):
        """Test that zero representations are inconsistently handled."""
        # ISSUE: All string representations of zero return True instead of False

        test_code = """zero_string: bool = bool("0")
zero_decimal: bool = bool("0.0") 
zero_negative: bool = bool("-0")
false_string: bool = bool("false")"""

        result = self.sandbox.execute_string(test_code)
        if not result.success:
            print(f"Error executing test code: {result.error}")
            print(f"Output: {result.output}")
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Current (broken) behavior - all return True
        assert context is not None  # Type guard for linter
        self.assertFalse(context.get("zero_string"))  # ISSUE: Should be False
        self.assertFalse(context.get("zero_decimal"))  # ISSUE: Should be False
        self.assertFalse(context.get("zero_negative"))  # ISSUE: Should be False
        self.assertFalse(context.get("false_string"))  # ISSUE: Should be False

    def test_semantic_equivalence_failures(self):
        """Test that semantically equivalent values don't compare as equal."""
        # ISSUE: Semantically equivalent values don't compare as equal

        test_code = """zero_eq_false: bool = ("0" == False)
one_eq_true: bool = ("1" == True)
false_eq_false: bool = ("false" == False)"""

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter
        self.assertTrue(context.get("zero_eq_false"))  # ISSUE: Should be True
        self.assertTrue(context.get("one_eq_true"))  # ISSUE: Should be True
        self.assertTrue(context.get("false_eq_false"))  # ISSUE: Should be True

    def test_missing_semantic_pattern_recognition(self):
        """Test that conversational patterns are not semantically understood."""
        # ISSUE: Conversational responses not semantically understood

        test_code = """yes_please: bool = bool("yes please")
no_way: bool = bool("no way")
absolutely_not: bool = bool("absolutely not")
nope: bool = bool("nope")"""

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Current behavior - all return True (non-empty string)
        assert context is not None  # Type guard for linter
        self.assertTrue(context.get("yes_please"))  # Correct result, wrong reason
        self.assertFalse(context.get("no_way"))  # ISSUE: Should be False (semantic)
        self.assertFalse(context.get("absolutely_not"))  # ISSUE: Should be False (semantic)
        self.assertFalse(context.get("nope"))  # ISSUE: Should be False (semantic)

    def test_assignment_coercion_failures(self):
        """Test that type hints don't enable safe coercion."""
        # ISSUE: Type hints don't provide coercion context - assignments fail

        test_cases = [
            ('decision: bool = "1"', "Cannot safely coerce str to bool"),
            ('count: int = "5"', "Cannot safely coerce str to int"),
            ('temp: float = "98.6"', "Cannot safely coerce str to float"),
        ]

        for code, expected_error in test_cases:
            result = self.sandbox.execute_string(code)
            if result.success:
                print(f"Unexpected success for: {code}")
                print(f"Final context: {result.final_context}")
                # This test documents current behavior - assignments might actually work
                # in some cases but not be semantically correct
                continue
            else:
                self.assertIsNotNone(result.error)
                self.assertIn(expected_error, str(result.error))

    def test_working_explicit_coercion(self):
        """Test what currently works with explicit coercion functions."""
        # These should work - explicit coercion functions

        test_code = """num_string: int = int("5")
float_string: float = float("3.14")
empty_string: bool = bool("")
true_string: bool = bool("anything")"""

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # These work correctly
        self.assertEqual(context.get("num_string"), 5)
        self.assertEqual(context.get("float_string"), 3.14)
        self.assertFalse(context.get("empty_string"))
        self.assertTrue(context.get("true_string"))


@pytest.mark.integration
class TestSemanticFunctionDispatchDesired(unittest.TestCase):
    """Test desired behavior for semantic function dispatch (currently not implemented)."""

    def setUp(self):
        """Set up test environment."""
        self.parser = ParserCache.get_parser("dana")
        self.sandbox = DanaSandbox()

    def tearDown(self):
        """Clean up test environment."""
        if hasattr(self, "sandbox"):
            self.sandbox._cleanup()

    @pytest.mark.skip(reason="Semantic function dispatch not yet implemented")
    def test_context_aware_mathematical_queries(self):
        """Test that functions should adapt to provide appropriate response format."""
        # DESIRED: Function adapts to provide appropriate response format

        test_code = """
        pi_precise: float = reason("what is pi?")
        pi_simple: int = reason("what is pi?") 
        pi_story: str = reason("what is pi?")
        pi_exists: bool = reason("what is pi?")
        """

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Expected behavior (not currently implemented)
        assert context is not None  # Type guard for linter
        self.assertIsInstance(context.get("pi_precise"), float)
        self.assertGreater(context.get("pi_precise"), 3.1)
        self.assertLess(context.get("pi_precise"), 3.2)

        self.assertEqual(context.get("pi_simple"), 3)

        self.assertIsInstance(context.get("pi_story"), str)
        self.assertGreater(len(context.get("pi_story")), 20)

        self.assertTrue(context.get("pi_exists"))

    @pytest.mark.skip(reason="Semantic function dispatch not yet implemented")
    def test_context_aware_decision_making(self):
        """Test that decision functions should adapt to context."""
        # DESIRED: Context-aware responses

        test_code = """
        proceed: bool = reason("Should we deploy to production?")
        confidence: float = reason("Should we deploy to production?")
        reasons: str = reason("Should we deploy to production?")
        risk_level: int = reason("Should we deploy to production?")
        """

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Expected behavior (not currently implemented)
        assert context is not None  # Type guard for linter
        self.assertIsInstance(context.get("proceed"), bool)

        self.assertIsInstance(context.get("confidence"), float)
        self.assertGreaterEqual(context.get("confidence"), 0.0)
        self.assertLessEqual(context.get("confidence"), 1.0)

        self.assertIsInstance(context.get("reasons"), str)
        self.assertGreater(len(context.get("reasons")), 10)

        self.assertIsInstance(context.get("risk_level"), int)
        self.assertGreaterEqual(context.get("risk_level"), 1)
        self.assertLessEqual(context.get("risk_level"), 10)

    @pytest.mark.skip(reason="Enhanced semantic coercion not yet implemented")
    def test_enhanced_zero_handling(self):
        """Test that zero representations should be consistently False."""
        # DESIRED: All zero representations consistently False in boolean context

        test_code = """
        zero_string: bool = bool("0")
        zero_float: bool = bool("0.0")
        zero_negative: bool = bool("-0")
        false_string: bool = bool("false")
        """

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Expected behavior (not currently implemented)
        assert context is not None  # Type guard for linter
        self.assertFalse(context.get("zero_string"))
        self.assertFalse(context.get("zero_float"))
        self.assertFalse(context.get("zero_negative"))
        self.assertFalse(context.get("false_string"))

    @pytest.mark.skip(reason="Enhanced semantic equivalence not yet implemented")
    def test_enhanced_semantic_equivalence(self):
        """Test that semantic equivalence should work in comparisons."""
        # DESIRED: Semantic equivalence in comparisons

        test_code = """
        zero_equals_false: bool = ("0" == False)
        one_equals_true: bool = ("1" == True)
        false_equals_false: bool = ("false" == False)
        """

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Expected behavior (not currently implemented)
        assert context is not None  # Type guard for linter
        self.assertTrue(context.get("zero_equals_false"))
        self.assertTrue(context.get("one_equals_true"))
        self.assertTrue(context.get("false_equals_false"))

    @pytest.mark.skip(reason="Conversational pattern recognition not yet implemented")
    def test_conversational_pattern_recognition(self):
        """Test that conversational patterns should be semantically understood."""
        # DESIRED: Conversational patterns recognized

        test_code = """
        yes_please: bool = bool("yes please")
        no_way: bool = bool("no way")
        absolutely_not: bool = bool("absolutely not")
        nope: bool = bool("nope")
        sure_thing: bool = bool("sure thing")
        definitely: bool = bool("definitely")
        never: bool = bool("never")
        """

        result = self.sandbox.execute_string(test_code)
        self.assertTrue(result.success)
        context = result.final_context
        self.assertIsNotNone(context)
        assert context is not None  # Type guard for linter

        # Expected behavior (not currently implemented)
        assert context is not None  # Type guard for linter
        self.assertTrue(context.get("yes_please"))
        self.assertFalse(context.get("no_way"))
        self.assertFalse(context.get("absolutely_not"))
        self.assertFalse(context.get("nope"))
        self.assertTrue(context.get("sure_thing"))
        self.assertTrue(context.get("definitely"))
        self.assertFalse(context.get("never"))


@pytest.mark.unit
class TestSemanticCoercionRequirements(unittest.TestCase):
    """Test specific requirements for semantic function dispatch implementation."""

    def test_context_detection_requirements(self):
        """Test requirements for context detection mechanisms."""
        # These are implementation requirements, not functional tests

        # Context should be detectable from:
        # 1. Assignment context: result: bool = function()
        # 2. Parameter context: process(function()) where process(param: bool)
        # 3. Operator context: if function(): (boolean), count + function() (numeric)

        pass  # Implementation requirements only

    def test_fallback_strategy_requirements(self):
        """Test requirements for fallback strategies."""
        # Requirements for handling impossible contexts:
        # 1. Graceful degradation when context cannot be satisfied
        # 2. Clear error messages with suggestions
        # 3. Configurable fallback behavior (error vs warning vs best-effort)

        pass  # Implementation requirements only

    def test_configuration_requirements(self):
        """Test requirements for configuration system."""
        # Configuration should support:
        # DANA_SEMANTIC_DISPATCH=enabled|disabled
        # DANA_CONTEXT_STRICTNESS=strict|normal|permissive
        # DANA_PARTIAL_MATCHING=true|false
        # DANA_CONVERSATIONAL_PATTERNS=true|false

        pass  # Implementation requirements only


if __name__ == "__main__":
    unittest.main()
