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python-nested-lookup/test_nested_lookup.py

446 lines
15 KiB
Python

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