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`
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5 changed files with 173 additions and 52 deletions
54
tests/forecasts/timify/conftest.py
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54
tests/forecasts/timify/conftest.py
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"""Fixture for testing the `urban_meal_delivery.forecast.timify` module."""
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import pandas as pd
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import pytest
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from tests import config as test_config
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from urban_meal_delivery import config
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from urban_meal_delivery.forecasts import timify
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@pytest.fixture
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def good_pixel_id(pixel):
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"""A `pixel_id` that is on the `grid`."""
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return pixel.id # `== 1`
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@pytest.fixture
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def order_totals(good_pixel_id):
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"""A mock for `OrderHistory.totals`.
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To be a bit more realistic, we sample two pixels on the `grid`.
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Uses the LONG_TIME_STEP as the length of a time step.
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"""
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pixel_ids = [good_pixel_id, good_pixel_id + 1]
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gen = (
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(pixel_id, start_at)
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for pixel_id in pixel_ids
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for start_at in pd.date_range(
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test_config.START, test_config.END, freq=f'{test_config.LONG_TIME_STEP}T',
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)
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if config.SERVICE_START <= start_at.hour < config.SERVICE_END
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)
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# Re-index `data` filling in `0`s where there is no demand.
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index = pd.MultiIndex.from_tuples(gen)
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index.names = ['pixel_id', 'start_at']
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df = pd.DataFrame(data={'n_orders': 1}, index=index)
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# Sanity check: n_pixels * n_time_steps_per_day * n_weekdays * n_weeks.
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assert len(df) == 2 * 12 * (7 * 2 + 1)
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return df
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@pytest.fixture
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def order_history(order_totals, grid):
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"""An `OrderHistory` object that does not need the database."""
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oh = timify.OrderHistory(grid=grid, time_step=test_config.LONG_TIME_STEP)
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oh._data = order_totals
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return oh
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@ -11,51 +11,6 @@ import pytest
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from tests import config as test_config
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from urban_meal_delivery import config
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from urban_meal_delivery.forecasts import timify
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@pytest.fixture
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def good_pixel_id():
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"""A `pixel_id` that is on the `grid`."""
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return 1
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@pytest.fixture
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def order_totals(good_pixel_id):
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"""A mock for `OrderHistory.totals`.
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To be a bit more realistic, we sample two pixels on the `grid`.
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"""
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pixel_ids = [good_pixel_id, good_pixel_id + 1]
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gen = (
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(pixel_id, start_at)
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for pixel_id in pixel_ids
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for start_at in pd.date_range(
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test_config.START, test_config.END, freq=f'{test_config.LONG_TIME_STEP}T',
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)
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if config.SERVICE_START <= start_at.hour < config.SERVICE_END
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)
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# Re-index `data` filling in `0`s where there is no demand.
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index = pd.MultiIndex.from_tuples(gen)
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index.names = ['pixel_id', 'start_at']
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df = pd.DataFrame(data={'n_orders': 0}, index=index)
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# Sanity check: n_pixels * n_time_steps_per_day * n_weekdays * n_weeks.
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assert len(df) == 2 * 12 * (7 * 2 + 1)
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return df
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@pytest.fixture
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def order_history(order_totals, grid):
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"""An `OrderHistory` object that does not need the database."""
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oh = timify.OrderHistory(grid=grid, time_step=test_config.LONG_TIME_STEP)
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oh._data = order_totals
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return oh
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@pytest.fixture
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"""Test the basic functionalities in the `OrderHistory` class."""
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import datetime as dt
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import pytest
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from tests import config as test_config
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from urban_meal_delivery.forecasts import timify
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@pytest.fixture
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def order_history(grid):
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"""An `OrderHistory` object."""
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return timify.OrderHistory(grid=grid, time_step=test_config.LONG_TIME_STEP)
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class TestSpecialMethods:
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"""Test the special methods in `OrderHistory`."""
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@ -32,12 +28,29 @@ class TestProperties:
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assert result == time_step
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def test_totals(self, order_history, order_totals):
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"""Test `OrderHistory.totals` property.
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The result of the `OrderHistory.aggregate_orders()` method call
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is cached in the `OrderHistory.totals` property.
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Note: `OrderHistory.aggregate_orders()` is not called as
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`OrderHistory._data` is already set in the `order_history` fixture.
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"""
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result = order_history.totals
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assert result is order_totals
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def test_totals_is_cached(self, order_history, monkeypatch):
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"""Test `OrderHistory.totals` property.
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The result of the `OrderHistory.aggregate_orders()` method call
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is cached in the `OrderHistory.totals` property.
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Note: We make `OrderHistory.aggregate_orders()` return a `sentinel`
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that is cached into `OrderHistory._data`, which must be unset first.
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"""
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monkeypatch.setattr(order_history, '_data', None)
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sentinel = object()
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monkeypatch.setattr(order_history, 'aggregate_orders', lambda: sentinel)
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@ -46,3 +59,34 @@ class TestProperties:
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assert result1 is result2
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assert result1 is sentinel
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class TestMethods:
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"""Test various methods in `OrderHistory`."""
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def test_first_order_at_existing_pixel(self, order_history, good_pixel_id):
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"""Test `OrderHistory.first_order_at()` with good input."""
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result = order_history.first_order_at(good_pixel_id)
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assert result == test_config.START
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def test_first_order_at_non_existing_pixel(self, order_history, good_pixel_id):
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"""Test `OrderHistory.first_order_at()` with bad input."""
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with pytest.raises(
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LookupError, match='`pixel_id` is not in the `grid`',
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):
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order_history.first_order_at(-1)
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def test_last_order_at_existing_pixel(self, order_history, good_pixel_id):
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"""Test `OrderHistory.last_order_at()` with good input."""
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result = order_history.last_order_at(good_pixel_id)
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one_time_step = dt.timedelta(minutes=test_config.LONG_TIME_STEP)
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assert result == test_config.END - one_time_step
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def test_last_order_at_non_existing_pixel(self, order_history, good_pixel_id):
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"""Test `OrderHistory.last_order_at()` with bad input."""
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with pytest.raises(
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LookupError, match='`pixel_id` is not in the `grid`',
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):
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order_history.last_order_at(-1)
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