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from datetime import timezone, datetime
import pandas as pd
import pytest
from pydantic import ValidationError
class TestReportRequest:
def test_base(self, utc_60days_ago):
from generalresearch.models.admin.request import (
ReportRequest,
ReportType,
)
rr = ReportRequest()
assert isinstance(rr.start, datetime), "rr.start incorrect type"
assert isinstance(rr.start_floor, datetime), "rr.start_floor incorrect type"
assert rr.report_type == ReportType.POP_SESSION
assert rr.start != rr.start_floor, "rr.start != rr.start_floor"
assert rr.start_floor.tzinfo == timezone.utc, "rr.start_floor.tzinfo not utc"
rr1 = ReportRequest.model_validate(
{
"start": datetime(
year=datetime.now().year,
month=1,
day=1,
hour=0,
minute=30,
second=25,
microsecond=35,
tzinfo=timezone.utc,
),
"interval": "1h",
}
)
assert isinstance(rr1.start, datetime), "rr1.start incorrect type"
assert isinstance(rr1.start_floor, datetime), "rr1.start_floor incorrect type"
rr2 = ReportRequest.model_validate(
{
"start": datetime(
year=datetime.now().year,
month=1,
day=1,
hour=6,
minute=30,
second=25,
microsecond=35,
tzinfo=timezone.utc,
),
"interval": "1d",
}
)
assert isinstance(rr2.start, datetime), "rr2.start incorrect type"
assert isinstance(rr2.start_floor, datetime), "rr2.start_floor incorrect type"
assert rr1.start != rr2.start, "rr1.start != rr2.start"
assert rr1.start_floor == rr2.start_floor, "rr1.start_floor == rr2.start_floor"
# datetime.datetime(2025, 7, 9, 0, 0, tzinfo=datetime.timezone.utc)
# datetime.datetime(2025, 7, 9, 0, 0, tzinfo=datetime.timezone.utc)
# datetime.datetime(2025, 7, 9, 0, 0, tzinfo=datetime.timezone.utc) =
# ReportRequest(report_type=<ReportType.POP_SESSION: 'pop_session'>,
# index0='started', index1='product_id',
# start=datetime.datetime(2025, 7, 9, 0, 46, 23, 145756, tzinfo=datetime.timezone.utc),
# end=datetime.datetime(2025, 9, 7, 0, 46, 23, 149195, tzinfo=datetime.timezone.utc),
# interval='1h', include_open_bucket=True,
# start_floor=datetime.datetime(2025, 7, 9, 0, 0, tzinfo=datetime.timezone.utc)).start_floor
# datetime.datetime(2025, 7, 9, 0, 0, tzinfo=datetime.timezone.utc) =
# ReportRequest(report_type=<ReportType.POP_SESSION: 'pop_session'>,
# index0='started', index1='product_id',
# start=datetime.datetime(2025, 7, 9, 0, 46, 23, 145756, tzinfo=datetime.timezone.utc),
# end=datetime.datetime(2025, 9, 7, 0, 46, 23, 149267, tzinfo=datetime.timezone.utc),
# interval='1d', include_open_bucket=True,
# start_floor=datetime.datetime(2025, 7, 9, 0, 0, tzinfo=datetime.timezone.utc)).start_floor
def test_start_end_range(self, utc_90days_ago, utc_30days_ago):
from generalresearch.models.admin.request import ReportRequest
with pytest.raises(expected_exception=ValidationError) as cm:
ReportRequest.model_validate(
{"start": utc_30days_ago, "end": utc_90days_ago}
)
with pytest.raises(expected_exception=ValidationError) as cm:
ReportRequest.model_validate(
{
"start": datetime(year=1990, month=1, day=1),
"end": datetime(year=1950, month=1, day=1),
}
)
def test_start_end_range_tz(self):
from generalresearch.models.admin.request import ReportRequest
from zoneinfo import ZoneInfo
pacific_tz = ZoneInfo("America/Los_Angeles")
with pytest.raises(expected_exception=ValidationError) as cm:
ReportRequest.model_validate(
{
"start": datetime(year=2000, month=1, day=1, tzinfo=pacific_tz),
"end": datetime(year=2000, month=6, day=1, tzinfo=pacific_tz),
}
)
def test_start_floor_naive(self):
from generalresearch.models.admin.request import ReportRequest
rr = ReportRequest()
assert rr.start_floor_naive.tzinfo is None
def test_end_naive(self):
from generalresearch.models.admin.request import ReportRequest
rr = ReportRequest()
assert rr.end_naive.tzinfo is None
def test_pd_interval(self):
from generalresearch.models.admin.request import ReportRequest
rr = ReportRequest()
assert isinstance(rr.pd_interval, pd.Interval)
def test_interval_timedelta(self):
from generalresearch.models.admin.request import ReportRequest
rr = ReportRequest()
assert isinstance(rr.interval_timedelta, pd.Timedelta)
def test_buckets(self):
from generalresearch.models.admin.request import ReportRequest
rr = ReportRequest()
assert isinstance(rr.buckets(), pd.DatetimeIndex)
def test_bucket_ranges(self):
from generalresearch.models.admin.request import ReportRequest
rr = ReportRequest()
assert isinstance(rr.bucket_ranges(), list)
rr = ReportRequest.model_validate(
{
"interval": "1d",
"start": datetime(year=2000, month=1, day=1, tzinfo=timezone.utc),
"end": datetime(year=2000, month=1, day=10, tzinfo=timezone.utc),
}
)
assert len(rr.bucket_ranges()) == 10
|
