def test_translate_results_missing_slots(_1, _2):
query_params = MultiValueDict(
{
"field": [
"sum(session)",
],
"interval": ["1d"],
"statsPeriod": ["3d"],
}
)
query_definition = QueryDefinition(query_params)
results = {
"metrics_counters": {
"totals": {
"data": [
{
"metric_id": 9, # session
"value": 400,
},
],
},
"series": {
"data": [
{
"metric_id": 9, # session
"bucketed_time": datetime(2021, 8, 23, tzinfo=pytz.utc),
"value": 100,
},
# no data for 2021-08-24
{
"metric_id": 9, # session
"bucketed_time": datetime(2021, 8, 25, tzinfo=pytz.utc),
"value": 300,
},
],
},
},
}
intervals = list(query_definition.get_intervals())
assert SnubaResultConverter(1, query_definition, intervals, results).translate_results() == [
{
"by": {},
"totals": {
"sum(session)": 400,
},
"series": {
# No data for 2021-08-24
"sum(session)": [100, 0, 300],
},
},
]
def test_translate_results(_1, _2):
query_params = MultiValueDict(
{
"groupBy": ["session.status"],
"field": [
"sum(session)",
"max(session.duration)",
"p50(session.duration)",
"p95(session.duration)",
],
"interval": ["1d"],
"statsPeriod": ["2d"],
}
)
query_definition = QueryDefinition(query_params)
intervals = list(query_definition.get_intervals())
results = {
"metrics_counters": {
"totals": {
"data": [
{
"metric_id": 9, # session
"tags[8]": 4, # session.status:healthy
"value": 300,
},
{
"metric_id": 9, # session
"tags[8]": 0, # session.status:abnormal
"value": 330,
},
],
},
"series": {
"data": [
{
"metric_id": 9, # session
"tags[8]": 4,
"bucketed_time": datetime(2021, 8, 24, tzinfo=pytz.utc),
"value": 100,
},
{
"metric_id": 9, # session
"tags[8]": 0,
"bucketed_time": datetime(2021, 8, 24, tzinfo=pytz.utc),
"value": 110,
},
{
"metric_id": 9, # session
"tags[8]": 4,
"bucketed_time": datetime(2021, 8, 25, tzinfo=pytz.utc),
"value": 200,
},
{
"metric_id": 9, # session
"tags[8]": 0,
"bucketed_time": datetime(2021, 8, 25, tzinfo=pytz.utc),
"value": 220,
},
],
},
},
"metrics_distributions": {
"totals": {
"data": [
{
"metric_id": 7, # session.duration
"tags[8]": 4,
"max": 123.4,
"percentiles": [1, 2, 3, 4, 5],
},
{
"metric_id": 7, # session.duration
"tags[8]": 0,
"max": 456.7,
"percentiles": [1.5, 2.5, 3.5, 4.5, 5.5],
},
],
},
"series": {
"data": [
{
"metric_id": 7, # session.duration
"tags[8]": 4,
"bucketed_time": datetime(2021, 8, 24, tzinfo=pytz.utc),
"max": 10.1,
"percentiles": [1.1, 2.1, 3.1, 4.1, 5.1],
},
{
"metric_id": 7, # session.duration
"tags[8]": 0,
"bucketed_time": datetime(2021, 8, 24, tzinfo=pytz.utc),
"max": 20.2,
"percentiles": [1.2, 2.2, 3.2, 4.2, 5.2],
},
{
"metric_id": 7, # session.duration
"tags[8]": 4,
"bucketed_time": datetime(2021, 8, 25, tzinfo=pytz.utc),
"max": 30.3,
"percentiles": [1.3, 2.3, 3.3, 4.3, 5.3],
},
{
"metric_id": 7, # session.duration
"tags[8]": 0,
"bucketed_time": datetime(2021, 8, 25, tzinfo=pytz.utc),
"max": 40.4,
"percentiles": [1.4, 2.4, 3.4, 4.4, 5.4],
},
],
},
},
}
assert SnubaResultConverter(1, query_definition, intervals, results).translate_results() == [
{
"by": {"session.status": "healthy"},
"totals": {
"sum(session)": 300,
"max(session.duration)": 123.4,
"p50(session.duration)": 1,
"p95(session.duration)": 4,
},
"series": {
"sum(session)": [100, 200],
"max(session.duration)": [10.1, 30.3],
"p50(session.duration)": [1.1, 1.3],
"p95(session.duration)": [4.1, 4.3],
},
},
{
"by": {"session.status": "abnormal"},
"totals": {
"sum(session)": 330,
"max(session.duration)": 456.7,
"p50(session.duration)": 1.5,
"p95(session.duration)": 4.5,
},
"series": {
"sum(session)": [110, 220],
"max(session.duration)": [20.2, 40.4],
"p50(session.duration)": [1.2, 1.4],
"p95(session.duration)": [4.2, 4.4],
},
},
]