def test_get_individual_metrics_accuracy():
"""Checks that individual_metrics data outputs correct values."""
test_dict = data_collection.calculate_individual_metrics(
"individual_metrics_testfile")
expected_dict = {
"EMAIL":
"*****@*****.**",
"COMMITS":
1,
"ADDED":
694,
"REMOVED":
0,
"MODIFIED":
0,
"RATIO":
0,
"FILES":
["Pipfile", "Pipfile.lock", "UsingPyGithub.py", "lint.sh", "test.sh"],
"FORMAT": [],
"issues_commented": [],
"issues_opened": [],
"pull_requests_commented": [],
"pull_requests_opened": [],
"COMMITS_TO_TESTING":
1,
"COMMITS_ELSEWHERE":
0,
}
assert test_dict["noorbuchi"] == expected_dict
def test_calculate_individual_metrics_empty(tmp_path):
"""Check that the individual metrics have been calculated."""
d = tmp_path / "sub"
d.mkdir()
p1 = d / "metrics_testfile.json"
p1.write_text("{}")
data = data_collection.calculate_individual_metrics("metrics_testfile", d)
assert len(data) == 0
def test_team_return_type():
data_collection.collect_and_add_raw_data_to_json(
"https://github.com/GatorCogitate/cogitate_tool", "raw_data_storage")
individual_metrics_dict = data_collection.calculate_individual_metrics()
updated_metrics_dict = data_processor.add_new_metrics(
individual_metrics_dict)
assert isinstance(cogitate.team(updated_metrics_dict, 0.2, 0.2, 0.6),
float)
def test_calculate_individual_metrics_populates_data():
"""Checks that the function retruns a populated dictionary."""
test_dict = {}
# pylint: disable=len-as-condition
assert len(test_dict) == 0
test_dict = data_collection.calculate_individual_metrics(
"individual_metrics_testfile")
assert len(test_dict) != 0
assert "INDIVIDUAL_METRICS" in test_dict.keys()
def test_get_individual_metrics_populates_keys():
"""Checks that individual_metrics data hass correct keys."""
test_dict = data_collection.calculate_individual_metrics(
"individual_metrics_testfile")
expected_keys = [
"schultzh",
"WonjoonC",
"Jordan-A",
"noorbuchi",
"Chris Stephenson",
]
internal_keys = list(test_dict.keys())
assert internal_keys == expected_keys
def test_get_individual_metrics_accuracy():
"""Checks that individual_metrics data outputs correct values."""
test_dict = data_collection.calculate_individual_metrics(
"individual_metrics_testfile")
expected_dict = {
"EMAIL":
"*****@*****.**",
"COMMITS":
1,
"ADDED":
694,
"REMOVED":
0,
"TOTAL":
694,
"MODIFIED":
694,
"RATIO":
694,
"FILES":
["Pipfile", "Pipfile.lock", "UsingPyGithub.py", "lint.sh", "test.sh"],
"FORMAT": [".lock", ".py", ".sh", "Pipfile"],
}
assert test_dict["INDIVIDUAL_METRICS"]["noorbuchi"] == expected_dict
def test_calculate_individual_metrics_full(json_file_name):
"""Check that the individual metrics have been calculated."""
data = data_collection.calculate_individual_metrics(json_file_name)
assert not len(data) == 0
