Add OrderHistory.first/last_order() methods

- get the `datetime` of the first or last order within a pixel
- unify some fixtures in `tests.forecasts.timify.conftest`
This commit is contained in:
Alexander Hess 2021-01-31 21:24:48 +01:00
commit 47ef1f8759
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
5 changed files with 173 additions and 52 deletions

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@ -0,0 +1,54 @@
"""Fixture for testing the `urban_meal_delivery.forecast.timify` module."""
import pandas as pd
import pytest
from tests import config as test_config
from urban_meal_delivery import config
from urban_meal_delivery.forecasts import timify
@pytest.fixture
def good_pixel_id(pixel):
"""A `pixel_id` that is on the `grid`."""
return pixel.id # `== 1`
@pytest.fixture
def order_totals(good_pixel_id):
"""A mock for `OrderHistory.totals`.
To be a bit more realistic, we sample two pixels on the `grid`.
Uses the LONG_TIME_STEP as the length of a time step.
"""
pixel_ids = [good_pixel_id, good_pixel_id + 1]
gen = (
(pixel_id, start_at)
for pixel_id in pixel_ids
for start_at in pd.date_range(
test_config.START, test_config.END, freq=f'{test_config.LONG_TIME_STEP}T',
)
if config.SERVICE_START <= start_at.hour < config.SERVICE_END
)
# Re-index `data` filling in `0`s where there is no demand.
index = pd.MultiIndex.from_tuples(gen)
index.names = ['pixel_id', 'start_at']
df = pd.DataFrame(data={'n_orders': 1}, index=index)
# Sanity check: n_pixels * n_time_steps_per_day * n_weekdays * n_weeks.
assert len(df) == 2 * 12 * (7 * 2 + 1)
return df
@pytest.fixture
def order_history(order_totals, grid):
"""An `OrderHistory` object that does not need the database."""
oh = timify.OrderHistory(grid=grid, time_step=test_config.LONG_TIME_STEP)
oh._data = order_totals
return oh

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@ -11,51 +11,6 @@ import pytest
from tests import config as test_config
from urban_meal_delivery import config
from urban_meal_delivery.forecasts import timify
@pytest.fixture
def good_pixel_id():
"""A `pixel_id` that is on the `grid`."""
return 1
@pytest.fixture
def order_totals(good_pixel_id):
"""A mock for `OrderHistory.totals`.
To be a bit more realistic, we sample two pixels on the `grid`.
"""
pixel_ids = [good_pixel_id, good_pixel_id + 1]
gen = (
(pixel_id, start_at)
for pixel_id in pixel_ids
for start_at in pd.date_range(
test_config.START, test_config.END, freq=f'{test_config.LONG_TIME_STEP}T',
)
if config.SERVICE_START <= start_at.hour < config.SERVICE_END
)
# Re-index `data` filling in `0`s where there is no demand.
index = pd.MultiIndex.from_tuples(gen)
index.names = ['pixel_id', 'start_at']
df = pd.DataFrame(data={'n_orders': 0}, index=index)
# Sanity check: n_pixels * n_time_steps_per_day * n_weekdays * n_weeks.
assert len(df) == 2 * 12 * (7 * 2 + 1)
return df
@pytest.fixture
def order_history(order_totals, grid):
"""An `OrderHistory` object that does not need the database."""
oh = timify.OrderHistory(grid=grid, time_step=test_config.LONG_TIME_STEP)
oh._data = order_totals
return oh
@pytest.fixture

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@ -1,17 +1,13 @@
"""Test the basic functionalities in the `OrderHistory` class."""
import datetime as dt
import pytest
from tests import config as test_config
from urban_meal_delivery.forecasts import timify
@pytest.fixture
def order_history(grid):
"""An `OrderHistory` object."""
return timify.OrderHistory(grid=grid, time_step=test_config.LONG_TIME_STEP)
class TestSpecialMethods:
"""Test the special methods in `OrderHistory`."""
@ -32,12 +28,29 @@ class TestProperties:
assert result == time_step
def test_totals(self, order_history, order_totals):
"""Test `OrderHistory.totals` property.
The result of the `OrderHistory.aggregate_orders()` method call
is cached in the `OrderHistory.totals` property.
Note: `OrderHistory.aggregate_orders()` is not called as
`OrderHistory._data` is already set in the `order_history` fixture.
"""
result = order_history.totals
assert result is order_totals
def test_totals_is_cached(self, order_history, monkeypatch):
"""Test `OrderHistory.totals` property.
The result of the `OrderHistory.aggregate_orders()` method call
is cached in the `OrderHistory.totals` property.
Note: We make `OrderHistory.aggregate_orders()` return a `sentinel`
that is cached into `OrderHistory._data`, which must be unset first.
"""
monkeypatch.setattr(order_history, '_data', None)
sentinel = object()
monkeypatch.setattr(order_history, 'aggregate_orders', lambda: sentinel)
@ -46,3 +59,34 @@ class TestProperties:
assert result1 is result2
assert result1 is sentinel
class TestMethods:
"""Test various methods in `OrderHistory`."""
def test_first_order_at_existing_pixel(self, order_history, good_pixel_id):
"""Test `OrderHistory.first_order_at()` with good input."""
result = order_history.first_order_at(good_pixel_id)
assert result == test_config.START
def test_first_order_at_non_existing_pixel(self, order_history, good_pixel_id):
"""Test `OrderHistory.first_order_at()` with bad input."""
with pytest.raises(
LookupError, match='`pixel_id` is not in the `grid`',
):
order_history.first_order_at(-1)
def test_last_order_at_existing_pixel(self, order_history, good_pixel_id):
"""Test `OrderHistory.last_order_at()` with good input."""
result = order_history.last_order_at(good_pixel_id)
one_time_step = dt.timedelta(minutes=test_config.LONG_TIME_STEP)
assert result == test_config.END - one_time_step
def test_last_order_at_non_existing_pixel(self, order_history, good_pixel_id):
"""Test `OrderHistory.last_order_at()` with bad input."""
with pytest.raises(
LookupError, match='`pixel_id` is not in the `grid`',
):
order_history.last_order_at(-1)