import pytest
import time
import random
from unittest.mock import patch

# Assuming you have these modules and classes defined
# Replace with actual imports if needed
# Example: from patent_module_1 import PatentModule1, ValidationException
# Example: from unified_validator import UnifiedValidator

# Placeholder for patent modules (replace with actual implementations)
class PatentModule1:
    def validate(self, data):
        if not isinstance(data, dict) or 'field1' not in data:
            raise ValueError("Invalid data for PatentModule1")
        return True

class PatentModule2:
    def validate(self, data):
        if not isinstance(data, int) or data < 0:
            raise ValueError("Invalid data for PatentModule2")
        return True

class PatentModule3:
    def validate(self, data):
        if not isinstance(data, str) or len(data) > 100:
            raise ValueError("Invalid data for PatentModule3")
        return True

class PatentModule4:
    def validate(self, data):
        if not isinstance(data, list) or len(data) == 0:
            raise ValueError("Invalid data for PatentModule4")
        return True

class PatentModule5:
    def validate(self, data):
        if not isinstance(data, float) or data < 0.0 or data > 1.0:
            raise ValueError("Invalid data for PatentModule5")
        return True

class PatentModule6:
    def validate(self, data):
        if not isinstance(data, tuple) or len(data) != 2:
            raise ValueError("Invalid data for PatentModule6")
        return True

class PatentModule7:
    def validate(self, data):
        if not isinstance(data, bool):
            raise ValueError("Invalid data for PatentModule7")
        return True

class PatentModule8:
    def validate(self, data):
        if not isinstance(data, set) or len(data) > 10:
            raise ValueError("Invalid data for PatentModule8")
        return True

class PatentModule9:
    def validate(self, data):
        if not isinstance(data, type) or data is None:
            raise ValueError("Invalid data for PatentModule9")
        return True

class UnifiedValidator:
    def __init__(self, modules):
        self.modules = modules

    def validate(self, data):
        for module in self.modules:
            module.validate(data)  # Corrected to call validate()
        return True

# Instantiate modules
patent_module_1 = PatentModule1()
patent_module_2 = PatentModule2()
patent_module_3 = PatentModule3()
patent_module_4 = PatentModule4()
patent_module_5 = PatentModule5()
patent_module_6 = PatentModule6()
patent_module_7 = PatentModule7()
patent_module_8 = PatentModule8()
patent_module_9 = PatentModule9()

# UNIT TESTS FOR EACH PATENT MODULE

# PatentModule1 Tests
def test_patent_module_1_valid_data():
    assert patent_module_1.validate({"field1": "value"}) is True

def test_patent_module_1_invalid_data_missing_field():
    with pytest.raises(ValueError):
        patent_module_1.validate({})

def test_patent_module_1_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_1.validate("string")

# PatentModule2 Tests
def test_patent_module_2_valid_data():
    assert patent_module_2.validate(10) is True

def test_patent_module_2_invalid_data_negative():
    with pytest.raises(ValueError):
        patent_module_2.validate(-5)

def test_patent_module_2_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_2.validate("string")

# PatentModule3 Tests
def test_patent_module_3_valid_data():
    assert patent_module_3.validate("short string") is True

def test_patent_module_3_invalid_data_too_long():
    with pytest.raises(ValueError):
        patent_module_3.validate("a" * 101)

def test_patent_module_3_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_3.validate(123)

# PatentModule4 Tests
def test_patent_module_4_valid_data():
    assert patent_module_4.validate([1, 2, 3]) is True

def test_patent_module_4_invalid_data_empty_list():
    with pytest.raises(ValueError):
        patent_module_4.validate([])

def test_patent_module_4_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_4.validate("string")

# PatentModule5 Tests
def test_patent_module_5_valid_data():
    assert patent_module_5.validate(0.5) is True

def test_patent_module_5_invalid_data_below_range():
    with pytest.raises(ValueError):
        patent_module_5.validate(-0.1)

def test_patent_module_5_invalid_data_above_range():
    with pytest.raises(ValueError):
        patent_module_5.validate(1.1)

def test_patent_module_5_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_5.validate("string")

# PatentModule6 Tests
def test_patent_module_6_valid_data():
    assert patent_module_6.validate((1, 2)) is True

def test_patent_module_6_invalid_data_wrong_length():
    with pytest.raises(ValueError):
        patent_module_6.validate((1, 2, 3))

def test_patent_module_6_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_6.validate("string")

# PatentModule7 Tests
def test_patent_module_7_valid_data_true():
    assert patent_module_7.validate(True) is True

def test_patent_module_7_valid_data_false():
    assert patent_module_7.validate(False) is True

def test_patent_module_7_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_7.validate("string")

# PatentModule8 Tests
def test_patent_module_8_valid_data():
    assert patent_module_8.validate({1, 2, 3}) is True

def test_patent_module_8_invalid_data_too_large():
    with pytest.raises(ValueError):
        patent_module_8.validate(set(range(11)))

def test_patent_module_8_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_8.validate("string")

# PatentModule9 Tests
def test_patent_module_9_valid_data():
    assert patent_module_9.validate(int) is True

def test_patent_module_9_invalid_data_none():
    with pytest.raises(ValueError):
        patent_module_9.validate(None)

def test_patent_module_9_invalid_data_wrong_type():
    with pytest.raises(ValueError):
        patent_module_9.validate("string")


# INTEGRATION TESTS FOR THE UNIFIED VALIDATOR

@pytest.fixture
def unified_validator():
    return UnifiedValidator([patent_module_1, patent_module_2, patent_module_3, patent_module_4, patent_module_5, patent_module_6, patent_module_7, patent_module_8, patent_module_9])

def test_unified_validator_valid_data(unified_validator):
    data = {"field1": "value"}
    assert unified_validator.validate(data) is True

def test_unified_validator_invalid_data_module_1(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate({})  # Invalid for Module 1

def test_unified_validator_invalid_data_module_2(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate(-5) # Invalid for Module 2

def test_unified_validator_invalid_data_module_3(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate("a" * 101)  # Invalid for Module 3

def test_unified_validator_invalid_data_module_4(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate([])  # Invalid for Module 4

def test_unified_validator_invalid_data_module_5(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate(-0.5)  # Invalid for Module 5

def test_unified_validator_invalid_data_module_6(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate((1,2,3))  # Invalid for Module 6

def test_unified_validator_invalid_data_module_7(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate("string")  # Invalid for Module 7

def test_unified_validator_invalid_data_module_8(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate(set(range(11)))  # Invalid for Module 8

def test_unified_validator_invalid_data_module_9(unified_validator):
    with pytest.raises(ValueError):
        unified_validator.validate(None) # Invalid for Module 9

# PERFORMANCE BENCHMARKS

@pytest.fixture
def unified_validator_perf():
    return UnifiedValidator([patent_module_1, patent_module_2, patent_module_3, patent_module_4, patent_module_5, patent_module_6, patent_module_7, patent_module_8, patent_module_9])


def test_unified_validator_performance(unified_validator_perf):
    data = {"field1": "value"}
    start_time = time.time()
    for _ in range(1000):
        unified_validator_perf.validate(data)
    end_time = time.time()
    elapsed_time = end_time - start_time
    print(f"Validation time for 1000 iterations: {elapsed_time:.4f} seconds")
    assert elapsed_time < 1  # Adjust threshold as needed

def test_individual_module_performance():
    data = {"field1": "value"}
    start_time = time.time()
    for _ in range(1000):
        patent_module_1.validate(data)
    end_time = time.time()
    elapsed_time = end_time - start_time
    print(f"Module 1 validation time for 1000 iterations: {elapsed_time:.4f} seconds")
    assert elapsed_time < 0.5 # Adjust threshold as needed

    data = 10
    start_time = time.time()
    for _ in range(1000):
        patent_module_2.validate(data)
    end_time = time.time()
    elapsed_time = end_time - start_time
    print(f"Module 2 validation time for 1000 iterations: {elapsed_time:.4f} seconds")
    assert elapsed_time < 0.5 # Adjust threshold as needed


# SECURITY TESTS (Bypass Attempts)

@pytest.fixture
def unified_validator_sec():
    return UnifiedValidator([patent_module_1, patent_module_2, patent_module_3, patent_module_4, patent_module_5, patent_module_6, patent_module_7, patent_module_8, patent_module_9])

def test_security_attempt_bypass_module_1(unified_validator_sec):
    # Attempt to bypass module 1's validation by passing data that might pass other modules
    data = 5 # Valid for Module 2, but should still fail in Module 1 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_2(unified_validator_sec):
    # Attempt to bypass module 2's validation by passing data that might pass other modules
    data = "valid string" # Valid for Module 3, but should still fail in Module 2 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_3(unified_validator_sec):
    # Attempt to bypass module 3's validation by passing data that might pass other modules
    data = [1,2,3] # Valid for Module 4, but should still fail in Module 3 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_4(unified_validator_sec):
    # Attempt to bypass module 4's validation by passing data that might pass other modules
    data = 0.5 # Valid for Module 5, but should still fail in Module 4 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_5(unified_validator_sec):
    # Attempt to bypass module 5's validation by passing data that might pass other modules
    data = (1,2) # Valid for Module 6, but should still fail in Module 5 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_6(unified_validator_sec):
    # Attempt to bypass module 6's validation by passing data that might pass other modules
    data = True # Valid for Module 7, but should still fail in Module 6 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_7(unified_validator_sec):
    # Attempt to bypass module 7's validation by passing data that might pass other modules
    data = {1,2} # Valid for Module 8, but should still fail in Module 7 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

def test_security_attempt_bypass_module_8(unified_validator_sec):
    # Attempt to bypass module 8's validation by passing data that might pass other modules
    data = int # Valid for Module 9, but should still fail in Module 8 if processed in order
    with pytest.raises(ValueError):
        unified_validator_sec.validate(data)

# EDGE CASE TESTS

def test_module_1_edge_case_empty_string_field():
    # Edge case for Module 1: Empty string as field value
    assert patent_module_1.validate({"field1": ""}) is True

def test_module_2_edge_case_zero():
    # Edge case for Module 2: Zero as input
    assert patent_module_2.validate(0) is True

def test_module_3_edge_case_exactly_100_chars():
    # Edge case for Module 3: String with exactly 100 characters
    assert patent_module_3.validate("a" * 100) is True

def test_module_4_edge_case_list_with_one_element():
    # Edge case for Module 4: List with only one element
    assert patent_module_4.validate([1]) is True

def test_module_5_edge_case_zero_value():
    # Edge case for Module 5: Exactly 0.0
    assert patent_module_5.validate(0.0) is True

def test_module_5_edge_case_one_value():
    # Edge case for Module 5: Exactly 1.0
    assert patent_module_5.validate(1.0) is True

def test_module_6_edge_case_same_values_tuple():
    # Edge case for Module 6: Tuple with the same values
    assert patent_module_6.validate((5, 5)) is True

def test_module_7_edge_case_true_as_string_representation():
    # Edge case for Module 7: "True" as input (should still fail)
    with pytest.raises(ValueError):
        patent_module_7.validate("True")

def test_module_8_edge_case_empty_set():
    #Edge case for module 8, empty set
    with pytest.raises(ValueError):
        patent_module_8.validate(set())

def test_module_8_edge_case_max_set_size():
    #Edge case for module 8, max allowed set size
    assert patent_module_8.validate({1,2,3,4,5,6,7,8,9,10}) is True

def test_module_9_edge_case_object():
    # Edge case for Module 9, object instance
    with pytest.raises(ValueError):
        patent_module_9.validate(object)

def test_unified_validator_empty_module_list():
    # Test the unified validator with empty module list
    validator = UnifiedValidator([])
    # It should return true because there is nothing to validate against
    assert validator.validate("any data") is True

def test_unified_validator_one_module_valid():
    # Test unified validator with one module that throws an error
    validator = UnifiedValidator([patent_module_1])
    data = {"field1": "value"}
    assert validator.validate(data) is True

def test_unified_validator_one_module_invalid():
    # Test unified validator with one module that throws an error
    validator = UnifiedValidator([patent_module_1])
    with pytest.raises(ValueError):
        validator.validate({})

def test_unified_validator_mixed_modules_valid(unified_validator):
    # Test unified validator with a valid mixed set of data
    data = {"field1": "value"}
    assert unified_validator.validate(data) is True

def test_unified_validator_mixed_modules_invalid(unified_validator):
    # Test unified validator with one invalid module
    with pytest.raises(ValueError):
        unified_validator.validate(None)