File test_nested_lookup.py of Package python-nested-lookup

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File test_nested_lookup.py of Package python-nested-lookup (Revision 04dc300ca3c4ec2f74aa6d00aa7559d3)

Currently displaying revision 04dc300ca3c4ec2f74aa6d00aa7559d3 , Show latest

from unittest import TestCase

from nested_lookup import (
    nested_lookup,
    get_all_keys,
    get_occurrence_of_key,
    get_occurrence_of_value,
    get_occurrences_and_values
)

class TestNestedLookup(TestCase):
    def setUp(self):
        self.subject_dict = {"a": 1, "b": {"d": 100}, "c": {"d": 200}}
        self.subject_dict2 = {
            "name": "Russell Ballestrini",
            "email_address": "test1@example.com",
            "other": {
                "secondary_email": "test2@example.com",
                "EMAIL_RECOVERY": "test3@example.com",
                "email_address": "test4@example.com",
            },
        }
        self.subject_dict3 = {
            "build_version": {
                "model_name": "MacBook Pro",
                "build_version": {
                    "processor_name": "Intel Core i7",
                    "processor_speed": "2.7 GHz",
                    "core_details": {
                        "build_version": "4",
                        "l2_cache(per_core)": "256 KB",
                    },
                },
                "number_of_cores": "4",
                "memory": "256 KB",
            },
            "os_details": {"product_version": "10.13.6", "build_version": "17G65"},
            "name": "Test",
            "date": "YYYY-MM-DD HH:MM:SS",
        }
        self.subject_dict4 = {1: "a", 2: {"b": 44, "C": 55}, 3: "d", 4: "e", "6776": "works"}

def test_nested_lookup(self):
        results = nested_lookup("d", self.subject_dict)
        self.assertEqual(2, len(results))
        self.assertIn(100, results)
        self.assertIn(200, results)
        self.assertSetEqual({100, 200}, set(results))

def test_nested_lookup_wrapped_in_list(self):
        results = nested_lookup("d", [{}, self.subject_dict, {}])
        self.assertEqual(2, len(results))
        self.assertIn(100, results)
        self.assertIn(200, results)
        self.assertSetEqual({100, 200}, set(results))

def test_nested_lookup_wrapped_in_list_in_dict_in_list(self):
        results = nested_lookup("d", [{}, {"H": [self.subject_dict]}])
        self.assertEqual(2, len(results))
        self.assertIn(100, results)
        self.assertIn(200, results)
        self.assertSetEqual({100, 200}, set(results))

def test_nested_lookup_wrapped_in_list_in_list(self):
        results = nested_lookup("d", [{}, [self.subject_dict, {}]])
        self.assertEqual(2, len(results))
        self.assertIn(100, results)
        self.assertIn(200, results)
        self.assertSetEqual({100, 200}, set(results))

def test_nested_lookup_key_is_non_str(self):
        results = nested_lookup(key=4, document=self.subject_dict4)
        self.assertIn("e", results)

def test_wild_nested_lookup(self):
        results = nested_lookup(key="mail", document=self.subject_dict2, wild=True)
        self.assertEqual(4, len(results))
        self.assertIn("test1@example.com", results)
        self.assertIn("test2@example.com", results)
        self.assertIn("test3@example.com", results)

def test_wild_nested_lookup_integer_keys_in_document(self):
        results = nested_lookup(key="c", document=self.subject_dict4, wild=True)
        self.assertIn(55, results)

def test_wild_nested_lookup_integer_key_as_substring(self):
        # test that wild works converts integers into strings before substring matching.
        results = nested_lookup(key=77, document=self.subject_dict4, wild=True)
        self.assertIn("works", results)

def test_wild_with_keys_nested_lookup(self):
        matches = nested_lookup(
            key="mail", document=self.subject_dict2, wild=True, with_keys=True
        )
        self.assertEqual(3, len(matches))
        self.assertIn("email_address", matches)
        self.assertIn("secondary_email", matches)
        self.assertIn("EMAIL_RECOVERY", matches)
        self.assertSetEqual(
            {"test1@example.com", "test4@example.com"}, set(matches["email_address"])
        )
        self.assertIn("test2@example.com", matches["secondary_email"])

def test_nested_lookup_with_keys(self):
        matches = nested_lookup("d", self.subject_dict, with_keys=True)
        self.assertIn("d", matches)
        self.assertEqual(2, len(matches["d"]))
        self.assertSetEqual({100, 200}, set(matches["d"]))

def test_after_key_is_found(self):
        result = nested_lookup(key="build_version", document=self.subject_dict3)
        self.assertEqual(4, len(result))
        self.assertIn("4", result)
        self.assertIn("17G65", result)
        match1 = {
            "processor_name": "Intel Core i7",
            "processor_speed": "2.7 GHz",
            "core_details": {"build_version": "4", "l2_cache(per_core)": "256 KB"},
        }
        self.assertIn(match1, result)
        match2 = {
            "build_version": {
                "processor_name": "Intel Core i7",
                "processor_speed": "2.7 GHz",
                "core_details": {"build_version": "4", "l2_cache(per_core)": "256 KB"},
            },
            "memory": "256 KB",
            "model_name": "MacBook Pro",
            "number_of_cores": "4",
        }
        self.assertIn(match2, result)

class TestGetAllKeys(TestCase):
    def setUp(self):
        self.sample1 = {
            "hardware_details": {
                "model_name": "MacBook Pro",
                "processor_details": {
                    "processor_name": "Intel Core i7",
                    "processor_speed": "2.7 GHz",
                    "core_details": {
                        "total_numberof_cores": "4",
                        "l2_cache(per_core)": "256 KB",
                    },
                },
                "total_number_of_cores": "4",
                "memory": "16 GB",
            },
            "os_details": {"product_version": "10.13.6", "build_version": "17G65"},
            "name": "Test",
            "date": "YYYY-MM-DD HH:MM:SS",
        }
        self.sample2 = {
            "hardware_details": {
                "model_name": "MacBook Pro",
                "processor_details": [
                    {
                        "processor_name": "Intel Core i7",
                        "processor_speed": "2.7 GHz",
                        "core_details": {
                            "total_numberof_cores": "4",
                            "l2_cache(per_core)": "256 KB",
                        },
                    }
                ],
                "total_number_of_cores": "4",
                "memory": "16 GB",
            }
        }
        self.sample3 = {
            "hardware_details": {
                "model_name": "MacBook Pro",
                "processor_details": [
                    {"processor_name": "Intel Core i7", "processor_speed": "2.7 GHz"},
                    {"total_numberof_cores": "4", "l2_cache(per_core)": "256 KB"},
                ],
                "total_number_of_cores": "4",
                "memory": "16 GB",
            }
        }
        self.sample4 = {
            "values": [
                {
                    "checks": [
                        {
                            "monitoring_zones": [
                                "mzdfw",
                                "mzfra",
                                "mzhkg",
                                "mziad",
                                "mzlon",
                                "mzord",
                                "mzsyd",
                            ]
                        }
                    ]
                }
            ]
        }
        self.sample5 = [
            {
                "listings": [
                    {
                        "name": "title",
                        "postcode": "postcode",
                        "full_address": "fulladdress",
                        "city": "city",
                        "lat": "latitude",
                        "lng": "longitude",
                    }
                ]
            }
        ]

def test_sample_data1(self):
        result = get_all_keys(self.sample1)
        self.assertEqual(15, len(result))
        keys_to_verify = [
            "model_name",
            "core_details",
            "l2_cache(per_core)",
            "build_version",
            "date",
        ]
        for key in keys_to_verify:
            self.assertIn(key, result)

def test_sample_data2(self):
        result = get_all_keys(self.sample2)
        self.assertEqual(10, len(result))
        keys_to_verify = [
            "hardware_details",
            "processor_speed",
            "total_numberof_cores",
            "memory",
        ]
        for key in keys_to_verify:
            self.assertIn(key, result)

def test_sample_data3(self):
        result = get_all_keys(self.sample3)
        self.assertEqual(9, len(result))
        keys_to_verify = [
            "processor_details",
            "processor_name",
            "l2_cache(per_core)",
            "total_number_of_cores",
        ]
        for key in keys_to_verify:
            self.assertIn(key, result)

def test_sample_data4(self):
        result = get_all_keys(self.sample4)
        self.assertEqual(3, len(result))
        keys_to_verify = ["values", "checks", "monitoring_zones"]
        for key in keys_to_verify:
            self.assertIn(key, result)

def test_sample_data5(self):
        result = get_all_keys(self.sample5)
        self.assertEqual(7, len(result))
        keys_to_verify = [
            "listings",
            "name",
            "postcode",
            "full_address",
            "city",
            "lat",
            "lng",
        ]
        for key in keys_to_verify:
            self.assertIn(key, result)

class TestGetOccurrence(TestCase):
    def setUp(self):
        self.sample1 = {
            "build_version": {
                "model_name": "MacBook Pro",
                "build_version": {
                    "processor_name": "Intel Core i7",
                    "processor_speed": "2.7 GHz",
                    "core_details": {
                        "build_version": "4",
                        "l2_cache(per_core)": "256 KB",
                    },
                },
                "number_of_cores": "4",
                "memory": "256 KB",
            },
            "os_details": {"product_version": "10.13.6", "build_version": "17G65"},
            "name": "Test",
            "date": "YYYY-MM-DD HH:MM:SS",
        }
        self.sample2 = {
            "hardware_details": {
                "model_name": "MacBook Pro",
                "processor_details": [
                    {
                        "processor_name": "4",
                        "processor_speed": "2.7 GHz",
                        "core_details": {
                            "total_numberof_cores": "4",
                            "l2_cache(per_core)": "256 KB",
                        },
                    }
                ],
                "total_number_of_cores": "4",
                "memory": "16 GB",
            }
        }
        self.sample3 = {
            "hardware_details": {
                "model_name": "MacBook Pro",
                "processor_details": [
                    {"total_number_of_cores": "4", "processor_speed": "2.7 GHz"},
                    {"total_number_of_cores": "4", "l2_cache(per_core)": "256 KB"},
                ],
                "total_number_of_cores": "4",
                "memory": "16 GB",
            }
        }
        self.sample4 = {
            "values": [
                {
                    "checks": [
                        {
                            "monitoring_zones": [
                                "mzdfw",
                                "mzfra",
                                "mzhkg",
                                "mziad",
                                "mzlon",
                                "mzord",
                                "mzsyd",
                            ]
                        }
                    ]
                }
            ]
        }

self.sample5 = {
            "hardware_details": {
                "model_name": "MacBook Pro",
                "total_number_of_cores": 0,
                "memory": False,
            }
        }

self.sample6 = [
            {
                "processor_name": "4",
                "processor_speed": "2.7 GHz",
                "core_details": {
                    "total_numberof_cores": "4",
                    "l2_cache(per_core)": "256 KB",
                }
            }
        ]

self.sample7 = [
            {
                "processor_name": "4",
                "processor_speed": "2.7 GHz",
                "core_details": {
                    "total_numberof_cores": "4",
                    "l2_cache(per_core)": "256 KB",
                }
            },
            {
                "processor_name": "4",
                "processor_speed": "2.7 GHz",
                "core_details": {
                    "total_numberof_cores": "4",
                    "l2_cache(per_core)": "256 KB",
                }
            }
        ]

def test_sample_data1(self):
        result = get_occurrence_of_key(self.sample1, "build_version")
        self.assertEqual(4, result)
        result = get_occurrence_of_value(self.sample1, "256 KB")
        self.assertEqual(2, result)

def test_sample_data2(self):
        result = get_occurrence_of_key(self.sample2, "core_details")
        self.assertEqual(1, result)
        result = get_occurrence_of_value(self.sample2, "4")
        self.assertEqual(3, result)

def test_sample_data3(self):
        result = get_occurrence_of_key(self.sample3, "total_number_of_cores")
        self.assertEqual(3, result)
        result = get_occurrence_of_value(self.sample3, "4")
        self.assertEqual(3, result)

def test_sample_data4(self):
        result = get_occurrence_of_key(self.sample4, "checks")
        self.assertEqual(1, result)
        result = get_occurrence_of_value(self.sample4, "mziad")
        self.assertEqual(1, result)
        # Add one more value in key "monitoring_zones" and verify
        self.sample4["values"][0]["checks"][0]["monitoring_zones"].append("mziad")
        self.assertEqual(2, get_occurrence_of_value(self.sample4, "mziad"))

def test_sample_data5(self):
        self.assertEqual(
            1, get_occurrence_of_key(self.sample5, "total_number_of_cores")
        )
        self.assertEqual(1, get_occurrence_of_key(self.sample5, "memory"))
        # Add key 'memory' and verify
        self.sample5["memory"] = 0
        self.assertEqual(2, get_occurrence_of_key(self.sample5, "memory"))

def test_sample_data6(self):
        value = '4'
        result = get_occurrences_and_values(self.sample6, value)
        self.assertEqual(2, result[value]['occurrences'])
        self.assertEqual(2, len(result[value]['values']))

def test_sample_data7(self):
        value = '2.7 GHz'
        result = get_occurrences_and_values(self.sample6, value)
        self.assertEqual(1, result[value]['occurrences'])
        self.assertEqual(1, len(result[value]['values']))

def test_sample_data8(self):
        value = '4'
        result = get_occurrences_and_values(self.sample7, value)
        self.assertEqual(4, result[value]['occurrences'])
        self.assertEqual(4, len(result[value]['values']))

def test_sample_data9(self):
        value = '5'
        result = get_occurrences_and_values(self.sample7, value)
        self.assertEqual(0, result[value]['occurrences'])
        self.assertEqual(0, len(result[value]['values']))

if __name__ == "__main__":
    pass

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File test_nested_lookup.py of Package python-nested-lookup (Revision 04dc300ca3c4ec2f74aa6d00aa7559d3)

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