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| 1 | +# License: MIT |
| 2 | +# Copyright © 2023 Frequenz Energy-as-a-Service GmbH |
| 3 | + |
| 4 | +"""Tests for the timeseries averager.""" |
| 5 | + |
| 6 | +import asyncio |
| 7 | +from datetime import datetime, timedelta |
| 8 | +from typing import List |
| 9 | +# import numpy as np |
| 10 | +import logging |
| 11 | +# from frequenz.channels import Broadcast, Sender |
| 12 | +# |
| 13 | +# from frequenz.sdk.timeseries import Sample |
| 14 | +from frequenz.sdk.timeseries.timeseries_avg import TimeseriesAvg |
| 15 | + |
| 16 | +from test_moving_window import init_moving_window, push_lm_data |
| 17 | + |
| 18 | +# TODO Tests |
| 19 | +# * moving intervals into ts timeseries_avg |
| 20 | +# * test the average calculation for all cases |
| 21 | +# * test with all zero init_moving_window |
| 22 | +# * run tests with different sample periods |
| 23 | + |
| 24 | +async def create_ts_avg(data: List[float], weights: List[float] | None = None) -> TimeseriesAvg: |
| 25 | + window, sender = init_moving_window(len(data)) |
| 26 | + await push_lm_data(sender, data) |
| 27 | + |
| 28 | + return TimeseriesAvg( |
| 29 | + moving_window = window, # 28 days moving window |
| 30 | + distance=timedelta(seconds=5), |
| 31 | + weights = weights, |
| 32 | + ) |
| 33 | + |
| 34 | +def test_interval_shifting(ts_avg: TimeseriesAvg): |
| 35 | + """ |
| 36 | + Test if a interval is properly shifted into a moving window |
| 37 | +
|
| 38 | + We consider the following case: |
| 39 | + |
| 40 | + moving_window = [1,2,2,1,1,1,2,2,1] |
| 41 | + the window starts at Jan. 01 2023 at 00:00:00 |
| 42 | + """ |
| 43 | + # Test if the timestamp is not shifted |
| 44 | + ts = datetime(2023, 1, 1, 0, 0, 1) |
| 45 | + index_not_shifted = ts_avg._shift_ts_to_window(ts) |
| 46 | + assert(index_not_shifted == 1) |
| 47 | + |
| 48 | + # Test if a timestamp in the window is shifted to the first appearance of the window |
| 49 | + ts = datetime(2023, 1, 1, 0, 0, 6) |
| 50 | + index_shifted = ts_avg._shift_ts_to_window(ts) |
| 51 | + assert(index_shifted == 1) |
| 52 | + |
| 53 | + # Test if a timestamp outside the window is shifted |
| 54 | + ts = datetime(2023, 1, 1, 0, 0, 11) |
| 55 | + index_shifted = ts_avg._shift_ts_to_window(ts) |
| 56 | + assert(index_shifted == 1) |
| 57 | + |
| 58 | + |
| 59 | +async def test_ts_avg(ts_avg: TimeseriesAvg): |
| 60 | + window, sender = init_moving_window(10) |
| 61 | + await push_lm_data(sender,[1, 2, 3, 4, 5, 6, 7, 8, 9, 1]) |
| 62 | + |
| 63 | + ts_avg = TimeseriesAvg( |
| 64 | + moving_window = window, # 28 days moving window |
| 65 | + distance=timedelta(days=7), |
| 66 | + weights=[0.1, 0.2, 0.3, 0.5] |
| 67 | + ) |
| 68 | + |
| 69 | +async def tests(): |
| 70 | + """ Temporary function until this is started by pytest.""" |
| 71 | + ts_avg = await create_ts_avg([1,2,2,1,1,1,2,2,1]) |
| 72 | + test_interval_shifting(ts_avg) |
| 73 | + # await test_ts_avg() |
| 74 | + |
| 75 | +logging.basicConfig(level=logging.DEBUG) |
| 76 | +asyncio.run(tests()) |
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