def test_read_one_dimension_reports(self, mock_adobe_client, mock_get_parsed_report):
temp_kwargs = self.kwargs.copy()
temp_kwargs.update({"dimension": ["daterangeday"], "metric": ["visits", "bounces"]})
output = next(AdobeAnalytics20Reader(**temp_kwargs).read())
expected = [
{"daterangeday": "2020-01-01", "visits": 11, "bounces": 21},
{"daterangeday": "2020-01-02", "visits": 12, "bounces": 22},
]
for output_record, expected_output in zip(output.readlines(), iter(expected)):
self.assertEqual(output_record, expected_output)
def test_get_parsed_report(self, mock_adobe_client, mock_get_report_page):
temp_kwargs = self.kwargs.copy()
temp_kwargs.update(
{"dimension": ["daterangeday"], "start_date": datetime.date(2020, 1, 1), "end_date": datetime.date(2020, 1, 4)}
)
metrics = ["visits", "bounces"]
output = AdobeAnalytics20Reader(**temp_kwargs).get_parsed_report({"dimension": "variables/daterangeday"}, metrics)
expected = [
{"daterangeday": "2020-01-01", "visits": 11, "bounces": 21},
{"daterangeday": "2020-01-02", "visits": 12, "bounces": 22},
{"daterangeday": "2020-01-03", "visits": 13, "bounces": 23},
{"daterangeday": "2020-01-04", "visits": 14, "bounces": 24},
]
for output_record, expected_record in zip(output, expected):
self.assertEqual(output_record, expected_record)
def test_build_report_description_one_dimension(self, mock_adobe_client):
temp_kwargs = self.kwargs.copy()
temp_kwargs.update({"dimension": ["daterangeday"]})
metrics = ["visits", "bounces"]
output = AdobeAnalytics20Reader(**temp_kwargs).build_report_description(metrics)
expected = {
"rsid": "XXXXXXXXX",
"globalFilters": [{"type": "dateRange", "dateRange": "2020-01-01T00:00:00/2020-01-03T00:00:00"}],
"metricContainer": {
"metricFilters": [],
"metrics": [{"id": "metrics/visits", "filters": []}, {"id": "metrics/bounces", "filters": []}],
},
"dimension": "variables/daterangeday",
"settings": {"countRepeatInstances": "true", "limit": "5000"},
}
self.assertEqual(output, expected)
def test_add_child_nodes_to_graph(self, mock_adobe_client, mock_get_node_values):
graph = {
"root": ["daterangeday_1200201", "daterangeday_1200202"],
"daterangeday_1200201": [],
"daterangeday_1200202": [],
}
node = "daterangeday_1200201"
path_to_node = ["daterangeday_1200201"]
output = AdobeAnalytics20Reader(**self.kwargs).add_child_nodes_to_graph(graph, node, path_to_node)
expected = {
"root": ["daterangeday_1200201", "daterangeday_1200202"],
"daterangeday_1200201": ["lasttouchchannel_1", "lasttouchchannel_2"],
"daterangeday_1200202": [],
"lasttouchchannel_1": [],
"lasttouchchannel_2": [],
}
self.assertEqual(output, expected)
def test_read_multiple_dimension_reports(self, mock_adobe_client, mock_add_child_nodes_to_graph, mock_get_parsed_report):
temp_kwargs = self.kwargs.copy()
temp_kwargs.update({"dimension": ["daterangeday", "lastouchchannel", "campaign"], "metric": ["visits", "bounces"]})
reader = AdobeAnalytics20Reader(**temp_kwargs)
reader.node_values = {
"daterangeday_1200201": "Jan 1, 2020",
"daterangeday_1200202": "Jan 2, 2020",
"lasttouchchannel_1": "Paid Search",
"lasttouchchannel_2": "Natural Search",
}
output = next(reader.read())
expected = [
{
"daterangeday": "2020-01-01",
"lastouchchannel": "Paid Search",
"campaign": "Campaign_1",
"visits": 11,
"bounces": 21,
},
{
"daterangeday": "2020-01-01",
"lastouchchannel": "Paid Search",
"campaign": "Campaign_2",
"visits": 12,
"bounces": 22,
},
{
"daterangeday": "2020-01-02",
"lastouchchannel": "Natural Search",
"campaign": "Campaign_1",
"visits": 13,
"bounces": 23,
},
{
"daterangeday": "2020-01-02",
"lastouchchannel": "Natural Search",
"campaign": "Campaign_2",
"visits": 14,
"bounces": 24,
},
]
for output_record, expected_record in zip(output.readlines(), iter(expected)):
self.assertEqual(output_record, expected_record)
def test_build_report_description_multiple_dimensions(self, mock_adobe_client):
temp_kwargs = self.kwargs.copy()
temp_kwargs.update({"dimension": ["daterangeday", "campaign", "pagename"]})
metrics = ["visits", "bounces"]
breakdown_item_ids = ["000000000", "111111111"]
output = AdobeAnalytics20Reader(**temp_kwargs).build_report_description(metrics, breakdown_item_ids)
expected = {
"rsid": "XXXXXXXXX",
"globalFilters": [{"type": "dateRange", "dateRange": "2020-01-01T00:00:00/2020-01-03T00:00:00"}],
"metricContainer": {
"metricFilters": [
{"id": 0, "type": "breakdown", "dimension": "variables/daterangeday", "itemId": "000000000"},
{"id": 1, "type": "breakdown", "dimension": "variables/campaign", "itemId": "111111111"},
{"id": 2, "type": "breakdown", "dimension": "variables/daterangeday", "itemId": "000000000"},
{"id": 3, "type": "breakdown", "dimension": "variables/campaign", "itemId": "111111111"},
],
"metrics": [{"id": "metrics/visits", "filters": [0, 1]}, {"id": "metrics/bounces", "filters": [2, 3]}],
},
"dimension": "variables/pagename",
"settings": {"countRepeatInstances": "true", "limit": "5000"},
}
self.assertEqual(output, expected)
def test_format_date_range(self, mock_adobe_client):
output = AdobeAnalytics20Reader(**self.kwargs).format_date_range()
expected = "2020-01-01T00:00:00/2020-01-03T00:00:00"
self.assertEqual(output, expected)