diff --git a/.github/workflows/run_tests.yaml b/.github/workflows/run_tests.yaml index b36c7b6..fd9399a 100644 --- a/.github/workflows/run_tests.yaml +++ b/.github/workflows/run_tests.yaml @@ -16,41 +16,34 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v4 - - name: Set up Python 3.10 - uses: actions/setup-python@v3 - with: - python-version: "3.12" - - - name: Install Poetry - run: | - python -m pip install poetry==1.8.3 - - - name: Configure Poetry - run: | - python -m poetry config virtualenvs.in-project true - - - name: Cache the Virtualenv - uses: actions/cache@v4 - with: - path: ./.venv - key: ${{ runner.os }}-venv-${{ hashFiles('**/poetry.lock') }} - - - name: Install Dependencies - run: | - python -m poetry lock - python -m poetry install --with test - - - name: Run Tests - env: - SOLCAST_API_KEY: ${{ secrets.SOLCAST_API_KEY }} - run: | - python -m poetry run pytest --cov --cov-branch --cov-report=xml - - - name: Upload coverage reports to Codecov - uses: codecov/codecov-action@v5 - with: - token: ${{ secrets.CODECOV_TOKEN }} - - - + - uses: actions/checkout@v4 + - name: Set up Python 3.12 + uses: actions/setup-python@v5 + with: + python-version: "3.12" + + - name: Install uv + uses: astral-sh/setup-uv@v5 + + - name: Cache uv + uses: actions/cache@v4 + with: + path: | + ~/.cache/uv + .venv + key: ${{ runner.os }}-uv-${{ hashFiles('**/uv.lock', '**/pyproject.toml') }} + + - name: Install Dependencies + run: | + uv sync --group test + + - name: Run Tests + env: + SOLCAST_API_KEY: ${{ secrets.SOLCAST_API_KEY }} + run: | + uv run pytest -m "not ci_skip and not solcast" --cov --cov-branch --cov-report=xml + + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v5 + with: + token: ${{ secrets.CODECOV_TOKEN }} \ No newline at end of file diff --git a/MANIFEST.ln b/MANIFEST.ln index 803eeef..bd5667b 100644 --- a/MANIFEST.ln +++ b/MANIFEST.ln @@ -1 +1,2 @@ -static_data/**/*.csv \ No newline at end of file +static_data/**/*.csv +*/**/*.toml \ No newline at end of file diff --git a/data_tools/__init__.py b/data_tools/__init__.py index 3d6ee50..3dd7bcc 100644 --- a/data_tools/__init__.py +++ b/data_tools/__init__.py @@ -5,7 +5,7 @@ from .query import ( # noqa: E402 FluxQuery, FluxStatement, - DBClient, + InfluxDBClient, PostgresClient, SunbeamClient ) @@ -37,7 +37,7 @@ "FluxQuery", "FluxStatement", "TimeSeries", - "DBClient", + "InfluxDBClient", "FSGPDayLaps", "FSGPDayLaps", "collect_lap_data", diff --git a/data_tools/collections/time_series.py b/data_tools/collections/time_series.py index 939ff5d..b05588a 100644 --- a/data_tools/collections/time_series.py +++ b/data_tools/collections/time_series.py @@ -8,7 +8,7 @@ from pint.registry import Unit -from data_tools import unit_registry #Important so that different TimeSeries don't experience registry errors +from data_tools import unit_registry # Important so that different TimeSeries don't experience registry errors class TimeSeries(np.ndarray): @@ -17,6 +17,7 @@ class TimeSeries(np.ndarray): Data is homogenous and evenly-spaced, such that temporal period between subsequent elements is constant. """ + UnitRegistry = unit_registry # __new__ and __array_finalize__ are mandatory to ensure that # `TimeSeries` properly acts like a ndarray when necessary. @@ -53,8 +54,6 @@ def __init__(self, input_array, length: float, units: Unit | str = None, meta: dict = None): - - self.ureg = unit_registry # Connect TimeSeries to a global registry # Check if the start and stop are not naive if start_time is not None: @@ -88,6 +87,10 @@ def __init__(self, input_array, self._meta = meta + @property + def ureg(self): + return TimeSeries.UnitRegistry + def __add__(self, other): if isinstance(other, TimeSeries): self_aligned, other_aligned = TimeSeries.align(self, other) diff --git a/data_tools/lap_tools/lap_query.py b/data_tools/lap_tools/lap_query.py index 27adf19..f0acc70 100644 --- a/data_tools/lap_tools/lap_query.py +++ b/data_tools/lap_tools/lap_query.py @@ -1,9 +1,9 @@ from data_tools.lap_tools.fsgp_2024_laps import FSGPDayLaps -from data_tools.query.influxdb_query import DBClient +from data_tools.query.influxdb_query import InfluxDBClient from typing import Callable import numpy as np -def collect_lap_data(query_func: Callable, client: DBClient, include_day_2=False, +def collect_lap_data(query_func: Callable, client: InfluxDBClient, include_day_2=False, verbose=False) -> np.ndarray: """ Higher order function - computes `query_func` for each lap in FSGP 2024 and returns the resulting array. @@ -24,13 +24,13 @@ def get_average_speed(start_time: datetime.datetime, end_time: datetime.datetime return np.mean(lap_speed) - client = DBClient() + client = InfluxDBClient() average_speeds = collect_lap_data(get_average_speed, client) ``` - :param Callable query_func: must take in parameters (lap_start: datetime, lap_end:datetime, data_client:DBClient) - :param DBClient client: client to use for querying + :param Callable query_func: must take in parameters (lap_start: datetime, lap_end:datetime, data_client:InfluxDBClient) + :param InfluxDBClient client: client to use for querying :param include_day_2: flag to include the three day 2 laps, driven slowly & under heavy rain :param verbose: if True, print out queried data during execution :return: a NumPy ndarray of `query_func` results for all laps diff --git a/data_tools/localization/__init__.py b/data_tools/localization/__init__.py new file mode 100644 index 0000000..d583218 --- /dev/null +++ b/data_tools/localization/__init__.py @@ -0,0 +1,48 @@ +from .language_localization import LanguageLocalization as _LanguageLocalization, CanonicalName +from .temporal_localization import TemporalLocalization as _TemporalLocalization +from .spatial_localization import SpatialLocalization as _SpatialLocalization +from .versioned_table import VersionedTable +from .localization import Localization +import pathlib + + +INFLUXDB_LANGUAGE_LOCALIZATION_TABLE_PATH = pathlib.Path(__file__).parent / "influxdb_language_localization.toml" +if not INFLUXDB_LANGUAGE_LOCALIZATION_TABLE_PATH.exists(): + raise FileNotFoundError(f"Localization file {INFLUXDB_LANGUAGE_LOCALIZATION_TABLE_PATH} not found! " + f"A localization file is required to use this module") +else: + InfluxDBLanguageLocalization = _LanguageLocalization(INFLUXDB_LANGUAGE_LOCALIZATION_TABLE_PATH) + +SUNBEAMDB_LANGUAGE_LOCALIZATION_TABLE_PATH = pathlib.Path(__file__).parent / "sunbeamdb_language_localization.toml" +if not SUNBEAMDB_LANGUAGE_LOCALIZATION_TABLE_PATH.exists(): + raise FileNotFoundError(f"Localization file {SUNBEAMDB_LANGUAGE_LOCALIZATION_TABLE_PATH} not found! " + f"A localization file is required to use this module") +else: + SunbeamDBLanguageLocalization = _LanguageLocalization(SUNBEAMDB_LANGUAGE_LOCALIZATION_TABLE_PATH) + + +TEMPORAL_LOCALIZATION_TABLE_PATH = pathlib.Path(__file__).parent / "temporal_localization.toml" +if not TEMPORAL_LOCALIZATION_TABLE_PATH.exists(): + raise FileNotFoundError(f"Localization file {TEMPORAL_LOCALIZATION_TABLE_PATH} not found! " + f"A localization file is required to use this module") +else: + TemporalLocalization = _TemporalLocalization(TEMPORAL_LOCALIZATION_TABLE_PATH) + + +SPATIAL_LOCALIZATION_TABLE_PATH = pathlib.Path(__file__).parent / "spatial_localization.toml" +if not SPATIAL_LOCALIZATION_TABLE_PATH.exists(): + raise FileNotFoundError(f"Localization file {SPATIAL_LOCALIZATION_TABLE_PATH} not found! " + f"A localization file is required to use this module") +else: + SpatialLocalization = _SpatialLocalization(SPATIAL_LOCALIZATION_TABLE_PATH) + + +__all__ = [ + "VersionedTable", + "Localization", + "InfluxDBLanguageLocalization", + "SunbeamDBLanguageLocalization", + "TemporalLocalization", + "SpatialLocalization", + "CanonicalName" +] \ No newline at end of file diff --git a/data_tools/localization/influxdb_language_localization.toml b/data_tools/localization/influxdb_language_localization.toml new file mode 100644 index 0000000..307dc36 --- /dev/null +++ b/data_tools/localization/influxdb_language_localization.toml @@ -0,0 +1,81 @@ +[2024-01-01] # 2024-07-12 – 2024-07-20 +VehicleSpeed = ["VehicleVelocity", "MDI", "m/s", 5] +PackVoltage = ["TotalPackVoltage", "BMS", "V", 1] +PackCurrent = ["PackCurrent", "ECU", "A", 5] +MotorCurrent = ["BatteryCurrent", "MC", "A", 5] +AcceleratorPosition = ["AcceleratorPosition", "MC", "", 10] +MinimumModuleVoltage = ["VoltageofLeast", "BMS","V", 1] +MaximumModuleVoltage = ["VoltageofHighest", "BMS", "V", 1] +BrakePressed = ["MechBrakePressed", "MCB", "", 10] +MotorCurrentDirection = ["BatteryCurrentDirection", "MC", "", 5] + +MPPTInputVoltageA = ["VoltSensor1", "AMB", "V", 4] +MPPTInputVoltageB = ["VoltSensor2", "AMB", "V", 4] +MPPTInputCurrentA = ["CurrentSensor1", "AMB", "A", 4] +MPPTInputCurrentB = ["CurrentSensor2", "AMB", "A", 4] + + +[2025-01-01] # 2025-04-01 – 2025-07-23 +VehicleSpeed = ["MotorRotatingSpeed", "MC", "km/h", 10] +PackVoltage = ["TotalPackVoltage", "BMS", "V", 10] +PackCurrent = ["PackCurrent", "ECU", "A", 5] +MotorCurrent = ["BatteryCurrent", "MC", "A", 10] +AcceleratorPosition = ["AcceleratorPosition", "MC", "", 10] +MinimumModuleVoltage = ["VoltageofLeast", "BMS","V", 10] +MaximumModuleVoltage = ["VoltageofHighest", "BMS", "V", 10] +BrakePressed = ["BrakePressed", "DRD", "", 10] +MotorCurrentDirection = ["BatteryCurrentDirection", "MC", "", 10] + +MPPTOutputVoltageA = ["OutputVoltageA", "MPPT", "V", 3] +MPPTOutputVoltageB = ["OutputVoltageB", "MPPT", "V", 3] +MPPTOutputVoltageC = ["OutputVoltageC", "MPPT", "V", 3] +MPPTOutputCurrentA = ["OutputCurrentA", "MPPT", "A", 3] +MPPTOutputCurrentB = ["OutputCurrentB", "MPPT", "A", 3] +MPPTOutputCurrentC = ["OutputCurrentC", "MPPT", "A", 3] + +MPPTInputVoltageA = ["InputVoltageA", "MPPT", "V", 3] +MPPTInputVoltageB = ["InputVoltageB", "MPPT", "V", 3] +MPPTInputVoltageC = ["InputVoltageC", "MPPT", "V", 3] +MPPTInputCurrentA = ["InputCurrentA", "MPPT", "A", 3] +MPPTInputCurrentB = ["InputCurrentB", "MPPT", "A", 3] +MPPTInputCurrentC = ["InputCurrentC", "MPPT", "A", 3] + +GPSLatitude = ["GPSLatitude", "TEL", "", 3] +GPSLongitude = ["GPSLongitude", "TEL", "", 3] + +Acceleration_X = ["Acceleration_X", "TEL", "", 10] +Acceleration_Y = ["Acceleration_Y", "TEL", "", 10] +Acceleration_Z = ["Acceleration_Z", "TEL", "", 10] + + +[2026-01-01] # 2026-01-20 – +VehicleSpeed = ["MotorRotatingSpeed", "MC", "km/h", 10] +PackVoltage = ["TotalPackVoltage", "BMS", "V", 10] +PackCurrent = ["PackCurrent", "ECU", "A", 5] +MotorCurrent = ["BatteryCurrent", "MC", "A", 10] +AcceleratorPosition = ["AcceleratorPosition", "MC", "", 10] +MinimumModuleVoltage = ["VoltageofLeast", "BMS", "V", 10] +MaximumModuleVoltage = ["VoltageofHighest", "BMS", "V", 10] +BrakePressed = ["BrakePressed", "DRD", "", 10] +MotorCurrentDirection = ["BatteryCurrentDirection", "MC", "", 10] + +MPPTOutputVoltageA = ["OutputVoltageA", "MPPT", "V", 3] +MPPTOutputVoltageB = ["OutputVoltageB", "MPPT", "V", 3] +MPPTOutputVoltageC = ["OutputVoltageC", "MPPT", "V", 3] +MPPTOutputCurrentA = ["OutputCurrentA", "MPPT", "A", 3] +MPPTOutputCurrentB = ["OutputCurrentB", "MPPT", "A", 3] +MPPTOutputCurrentC = ["OutputCurrentC", "MPPT", "A", 3] + +MPPTInputVoltageA = ["InputVoltageA", "MPPT", "V", 3] +MPPTInputVoltageB = ["InputVoltageB", "MPPT", "V", 3] +MPPTInputVoltageC = ["InputVoltageC", "MPPT", "V", 3] +MPPTInputCurrentA = ["InputCurrentA", "MPPT", "A", 3] +MPPTInputCurrentB = ["InputCurrentB", "MPPT", "A", 3] +MPPTInputCurrentC = ["InputCurrentC", "MPPT", "A", 3] + +GPSLatitude = ["GPSLatitude", "TEL", "", 4] +GPSLongitude = ["GPSLongitude", "TEL", "", 4] + +Acceleration_X = ["Acceleration_X", "TEL", "", 10] +Acceleration_Y = ["Acceleration_Y", "TEL", "", 10] +Acceleration_Z = ["Acceleration_Z", "TEL", "", 10] diff --git a/data_tools/localization/language_localization.py b/data_tools/localization/language_localization.py new file mode 100644 index 0000000..5f1cc42 --- /dev/null +++ b/data_tools/localization/language_localization.py @@ -0,0 +1,48 @@ +from data_tools.localization.localization import Localization +from enum import StrEnum +from datetime import date + + +class LanguageLocalization(Localization): + def localize(self, canonical_name: str, current_date: date | str) -> tuple[str, str, str, float]: + """ + Return the (field, board, units, frequency) + """ + name, board, units, frequency = self._localization_table.lookup(canonical_name, current_date) + return name, board, units, frequency + + +class CanonicalName(StrEnum): + VehicleSpeed = "VehicleSpeed" + PackVoltage = "PackVoltage" + PackCurrent = "PackCurrent" + MotorCurrent = "MotorCurrent" + AcceleratorPosition = "AcceleratorPosition" + MinimumModuleVoltage = "MinimumModuleVoltage" + MaximumModuleVoltage = "MaximumModuleVoltage" + BrakePressed = "BrakePressed" + MotorCurrentDirection = "MotorCurrentDirection" + + MPPTOutputVoltageA = "MPPTOutputVoltageA" + MPPTOutputVoltageB = "MPPTOutputVoltageB" + MPPTOutputVoltageC = "MPPTOutputVoltageC" + MPPTOutputCurrentA = "MPPTOutputCurrentA" + MPPTOutputCurrentB = "MPPTOutputCurrentB" + MPPTOutputCurrentC = "MPPTOutputCurrentC" + + MPPTInputVoltageA = "MPPTInputVoltageA" + MPPTInputVoltageB = "MPPTInputVoltageB" + MPPTInputVoltageC = "MPPTInputVoltageC" + MPPTInputCurrentA = "MPPTInputCurrentA" + MPPTInputCurrentB = "MPPTInputCurrentB" + MPPTInputCurrentC = "MPPTInputCurrentC" + + GPSLatitude = "GPSLatitude" + GPSLongitude = "GPSLongitude" + + Acceleration_X = "Acceleration_X" + Acceleration_Y = "Acceleration_Y" + Acceleration_Z = "Acceleration_Z" + + MotorPower = "MotorPower" + MotorEfficiency = "MotorEfficiency" diff --git a/data_tools/localization/localization.py b/data_tools/localization/localization.py new file mode 100644 index 0000000..1420a62 --- /dev/null +++ b/data_tools/localization/localization.py @@ -0,0 +1,13 @@ +from data_tools.localization.versioned_table import VersionedTable +from abc import ABC, abstractmethod +import pathlib + + +class Localization(ABC): + _instance: "Localization | None" = None + + def __init__(self, localization_table: pathlib.Path): + self._localization_table = VersionedTable.from_toml_file(str(localization_table.absolute())) + + @abstractmethod + def localize(self, *args, **kwargs): ... diff --git a/data_tools/localization/spatial_localization.py b/data_tools/localization/spatial_localization.py new file mode 100644 index 0000000..071aec7 --- /dev/null +++ b/data_tools/localization/spatial_localization.py @@ -0,0 +1,13 @@ +from data_tools.localization.localization import Localization +from datetime import datetime + + +class SpatialLocalization(Localization): + def localize(self, query_datetime: datetime) -> tuple[list, str]: + """ + Return the timedelta to add to InfluxDB query ranges to account for timezone reporting errors in InfluxDB. + The same error should be subtracted from returned data ranges to amend them. + """ + coords, name = self._localization_table.lookup("position", query_datetime.date()) + + return coords, name diff --git a/data_tools/localization/spatial_localization.toml b/data_tools/localization/spatial_localization.toml new file mode 100644 index 0000000..e042eae --- /dev/null +++ b/data_tools/localization/spatial_localization.toml @@ -0,0 +1,593 @@ +[2024-07-12] # We're at NCM Motorsports +position = [[ + [37.00107373, -86.36854755], + [37.00098578, -86.36874579], + [37.00090662, -86.36891836], + [37.0008098, -86.36912411], + [37.00070993, -86.36934481], + [37.00064015, -86.3694857], + [37.00056383, -86.36964375], + [37.0004699, -86.36984594], + [37.00038472, -86.3700261], + [37.00030254, -86.37020247], + [37.00026491, -86.37041498], + [37.00031195, -86.37062837], + [37.00038811, -86.3707825], + [37.00042033, -86.37099884], + [37.0003852, -86.37123775], + [37.00027357, -86.37138907], + [37.00011471, -86.3714889], + [36.99997073, -86.37159181], + [36.99982625, -86.37169183], + [36.99970528, -86.37178738], + [36.99958754, -86.37189043], + [36.99948814, -86.37199725], + [36.99940337, -86.37214797], + [36.99932082, -86.37230251], + [36.99932082, -86.37230251], + [36.99924349, -86.37245211], + [36.99921127, -86.37261758], + [36.99916641, -86.37284378], + [36.99912743, -86.3730292], + [36.9990885, -86.37323096], + [36.99904589, -86.37342887], + [36.99900664, -86.37362303], + [36.9989808, -86.37380904], + [36.99896465, -86.37397888], + [36.99899069, -86.37413638], + [36.99908793, -86.37422888], + [36.99922365, -86.37425686], + [36.99934964, -86.37428072], + [36.99946928, -86.37430399], + [36.99958169, -86.37432571], + [36.99970432, -86.37430523], + [36.99981076, -86.37423248], + [36.99991404, -86.37415222], + [37.00002051, -86.37405916], + [37.00012018, -86.3739737], + [37.00022342, -86.37387665], + [37.00032338, -86.37378434], + [37.00042667, -86.37368311], + [37.00051698, -86.37360214], + [37.00061364, -86.37350099], + [37.00072863, -86.37339546], + [37.00082561, -86.37329809], + [37.0009191, -86.37321738], + [37.00103518, -86.37310829], + [37.00115123, -86.37299929], + [37.00126713, -86.37288565], + [37.00136704, -86.37279282], + [37.00144762, -86.37271211], + [37.00155067, -86.3726109], + [37.00165284, -86.37250555], + [37.00173651, -86.37241676], + [37.00180726, -86.37233202], + [37.00188761, -86.3722312], + [37.00196791, -86.37211434], + [37.00204601, -86.37200003], + [37.0021135, -86.37187932], + [37.00217132, -86.37175865], + [37.00223561, -86.37164596], + [37.00230001, 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[37.00388711, -86.36356354], + [37.00372489, -86.36360692], + [37.00357758, -86.36365019], + [37.00343811, -86.36368662], + [37.00330797, -86.36377724], + [37.00320937, -86.36393701], + [37.00313338, -86.36408574], + [37.0030636, -86.36423803], + [37.00298517, -86.36439075], + [37.00291248, -86.36454704], + [37.00283342, -86.36471029], + [37.00274639, -86.36490341], + [37.00266755, -86.36507091], + [37.00259904, -86.36521818], + [37.00252912, -86.36537128], + [37.00245038, -86.36553914], + [37.00237732, -86.36569622], + [37.00229839, -86.3658645], + [37.00222549, -86.36603626], + [37.00215644, -86.36619701], + [37.00208623, -86.36635086], + [37.00200136, -86.36653034], + [37.00192538, -86.36670617], + [37.00183166, -86.36691875], + [37.00175285, -86.36709064], + [37.00167596, -86.36725066], + [37.00160574, -86.36740819], + [37.00152389, -86.3675912], + [37.00143614, -86.36779264], + [37.00133071, -86.36801267], + [37.00122817, -86.3682181], + [37.0011529, -86.36837867], +], "NCM Motorsports Park"] + +[2025-07-23] # We're back at UBC +position = [[], "UBC"] diff --git a/data_tools/localization/sunbeamdb_language_localization.toml b/data_tools/localization/sunbeamdb_language_localization.toml new file mode 100644 index 0000000..2564095 --- /dev/null +++ b/data_tools/localization/sunbeamdb_language_localization.toml @@ -0,0 +1,83 @@ +[2024-01-01] # 2024-07-12 – 2024-07-20 +VehicleSpeed = ["VehicleSpeed", "Ingress", "m/s", 5] +PackVoltage = ["PackVoltage", "Ingress", "V", 1] +PackCurrent = ["PackCurrent", "Ingress", "A", 5] +MotorCurrent = ["MotorCurrent", "Ingress", "A", 5] +AcceleratorPosition = ["AcceleratorPosition", "Ingress", "", 10] +MinimumModuleVoltage = ["MinimumModuleVoltage", "Ingress","V", 1] +MaximumModuleVoltage = ["MaximumModuleVoltage", "Ingress", "V", 1] +BrakePressed = ["BrakePressed", "Ingress", "", 10] +MotorCurrentDirection = ["MotorCurrentDirection", "Ingress", "", 5] +MPPTInputVoltageA = ["MPPTInputVoltageA", "Ingress", "V", 4] +MPPTInputVoltageB = ["MPPTInputVoltageB", "Ingress", "V", 4] +MPPTInputCurrentA = ["MPPTInputCurrentA", "Ingress", "A", 4] +MPPTInputCurrentB = ["MPPTInputCurrentB", "Ingress", "A", 4] + +MotorPower = ["MotorPower", "Power", "W", 10] +MotorEfficiency = ["MotorEfficiency", "Efficiency", "", 1] + + +#[2025-01-01] # 2025-04-01 – 2025-07-23 +#VehicleSpeed = ["MotorRotatingSpeed", "MC", "km/h", 10] +#PackVoltage = ["TotalPackVoltage", "BMS", "V", 10] +#PackCurrent = ["PackCurrent", "ECU", "A", 5] +#MotorCurrent = ["BatteryCurrent", "MC", "A", 10] +#AcceleratorPosition = ["AcceleratorPosition", "MC", "", 10] +#MinimumModuleVoltage = ["VoltageofLeast", "BMS","V", 10] +#MaximumModuleVoltage = ["VoltageofHighest", "BMS", "V", 10] +#BrakePressed = ["BrakePressed", "DRD", "", 10] +#MotorCurrentDirection = ["BatteryCurrentDirection", "MC", "", 10] +# +#MPPTOutputVoltageA = ["OutputVoltageA", "MPPT", "V", 3] +#MPPTOutputVoltageB = ["OutputVoltageB", "MPPT", "V", 3] +#MPPTOutputVoltageC = ["OutputVoltageC", "MPPT", "V", 3] +#MPPTOutputCurrentA = ["OutputCurrentA", "MPPT", "A", 3] +#MPPTOutputCurrentB = ["OutputCurrentB", "MPPT", "A", 3] +#MPPTOutputCurrentC = ["OutputCurrentC", "MPPT", "A", 3] +# +#MPPTInputVoltageA = ["InputVoltageA", "MPPT", "V", 3] +#MPPTInputVoltageB = ["InputVoltageB", "MPPT", "V", 3] +#MPPTInputVoltageC = ["InputVoltageC", "MPPT", "V", 3] +#MPPTInputCurrentA = ["InputCurrentA", "MPPT", "A", 3] +#MPPTInputCurrentB = ["InputCurrentB", "MPPT", "A", 3] +#MPPTInputCurrentC = ["InputCurrentC", "MPPT", "A", 3] +# +#GPSLatitude = ["GPSLatitude", "TEL", "", 3] +#GPSLongitude = ["GPSLongitude", "TEL", "", 3] +# +#Acceleration_X = ["Acceleration_X", "TEL", "", 10] +#Acceleration_Y = ["Acceleration_Y", "TEL", "", 10] +#Acceleration_Z = ["Acceleration_Z", "TEL", "", 10] +# +# +#[2026-01-01] # 2026-01-20 – +#VehicleSpeed = ["MotorRotatingSpeed", "MC", "km/h", 10] +#PackVoltage = ["TotalPackVoltage", "BMS", "V", 10] +#PackCurrent = ["PackCurrent", "ECU", "A", 5] +#MotorCurrent = ["BatteryCurrent", "MC", "A", 10] +#AcceleratorPosition = ["AcceleratorPosition", "MC", "", 10] +#MinimumModuleVoltage = ["VoltageofLeast", "BMS", "V", 10] +#MaximumModuleVoltage = ["VoltageofHighest", "BMS", "V", 10] +#BrakePressed = ["BrakePressed", "DRD", "", 10] +#MotorCurrentDirection = ["BatteryCurrentDirection", "MC", "", 10] +# +#MPPTOutputVoltageA = ["OutputVoltageA", "MPPT", "V", 3] +#MPPTOutputVoltageB = ["OutputVoltageB", "MPPT", "V", 3] +#MPPTOutputVoltageC = ["OutputVoltageC", "MPPT", "V", 3] +#MPPTOutputCurrentA = ["OutputCurrentA", "MPPT", "A", 3] +#MPPTOutputCurrentB = ["OutputCurrentB", "MPPT", "A", 3] +#MPPTOutputCurrentC = ["OutputCurrentC", "MPPT", "A", 3] +# +#MPPTInputVoltageA = ["InputVoltageA", "MPPT", "V", 3] +#MPPTInputVoltageB = ["InputVoltageB", "MPPT", "V", 3] +#MPPTInputVoltageC = ["InputVoltageC", "MPPT", "V", 3] +#MPPTInputCurrentA = ["InputCurrentA", "MPPT", "A", 3] +#MPPTInputCurrentB = ["InputCurrentB", "MPPT", "A", 3] +#MPPTInputCurrentC = ["InputCurrentC", "MPPT", "A", 3] +# +#GPSLatitude = ["GPSLatitude", "TEL", "", 4] +#GPSLongitude = ["GPSLongitude", "TEL", "", 4] +# +#Acceleration_X = ["Acceleration_X", "TEL", "", 10] +#Acceleration_Y = ["Acceleration_Y", "TEL", "", 10] +#Acceleration_Z = ["Acceleration_Z", "TEL", "", 10] diff --git a/data_tools/localization/temporal_localization.py b/data_tools/localization/temporal_localization.py new file mode 100644 index 0000000..a9b8fc9 --- /dev/null +++ b/data_tools/localization/temporal_localization.py @@ -0,0 +1,13 @@ +from data_tools.localization.localization import Localization +from datetime import datetime, timedelta + + +class TemporalLocalization(Localization): + def localize(self, query_datetime: datetime) -> timedelta: + """ + Return the timedelta to subtract from InfluxDB query ranges to account for timezone reporting errors in InfluxDB. + The same error should be added to returned data ranges to amend them. + """ + shift_str: str = str(self._localization_table.lookup("shift", query_datetime.date())) # Will be a one-tuple + + return timedelta(hours=int(shift_str)) diff --git a/data_tools/localization/temporal_localization.toml b/data_tools/localization/temporal_localization.toml new file mode 100644 index 0000000..457f3b6 --- /dev/null +++ b/data_tools/localization/temporal_localization.toml @@ -0,0 +1,20 @@ +[2024-01-01] # 2024-07-12 – 2024-07-20 +# In 2024, we were in Kentucky the first lap was at 10:00AM EDT and EDT is UTC - 4, so 2:00PM UTC. +# The first timestamp on InfluxDB is at 8:00AM UTC which means we have an offset of 6 hours. +# That is, queries must be shifted by -6 and returned timestamps by +6 to be correct. +shift = 6 + +[2025-04-01] # 2025-04-01 – 2025-06-23 +# In 2025 before FSGP we were in Vancouver, which is in PDT timezone where PDT timestamps were interpreted as UTC +# by InfluxDB. I see 3:30PM UTC when it should actually be 3:30PM PDT, which is 10:30PM UTC. So, queries need to be shifted back by +# 7 hours and returned timestamps by +7 to be correct. +shift = 7 + +[2025-06-30] # 2025-06-30 – 2025-07-05 +# Using the time that our motor blew up in 2025, which was around 6:00PM EDT, which is 10:00PM UTC, we see +# that the motor temperature spiked at 4:00PM on InfluxDB which again indicates a shift of +6. +shift = 6 + +[2025-07-23] # 2025-07-23 – +# Back in Vancouver, same issue as 2025-04-01 – 2025-06-23. +shift = 7 diff --git a/data_tools/localization/versioned_table.py b/data_tools/localization/versioned_table.py new file mode 100644 index 0000000..c3b1387 --- /dev/null +++ b/data_tools/localization/versioned_table.py @@ -0,0 +1,129 @@ +from dataclasses import dataclass +from bisect import bisect_right +from typing import Optional +from datetime import date +import tomllib + + + +@dataclass(frozen=True) +class Interval: + start: date + end: Optional[date] # None => Ongoing + value: tuple + + +@dataclass(frozen=True) +class VersionedTable: + _intervals: dict[str, list[Interval]] + + @staticmethod + def from_dict(raw: dict[str, dict[str, tuple]]) -> "VersionedTable": + """ + Parse a VersionedTable from a dictionary. + + :param raw: A mapping from a date string to a mapping of canonical names to stored information about that + canonical name during the date. + """ + sections: list[tuple[date, dict[str, tuple]]] = [] + for k, v in raw.items(): + try: + iso_date = date.fromisoformat(k) + except ValueError as e: + raise ValueError(f"{k} is not a valid date") from e + + sections.append((iso_date, v)) + + sections.sort(key=lambda x: x[0]) + + intervals: dict[str, list[Interval]] = {} + active: dict[str, tuple[date, tuple[str]]] = {} + + # We'll march through each section and maintain a dictionary of every + # name–data pair that we encounter and track the interval that + # each pairing was "active" for. + + for eff_date, mapping in sections: + # Close intervals for names that disappeared to track + # that they are no longer active. + to_remove = [] + for name, (start, value) in active.items(): + if name not in mapping: + intervals.setdefault(name, []).append( + Interval(start, eff_date, value) + ) + to_remove.append(name) + + for name in to_remove: + del active[name] + + # Add/update names + for name, value in mapping.items(): + if name in active: + old_start, old_value = active[name] + + # If the name–data pair has changed, close the existing + # interval and start a new one for the new pair. + if old_value != value: + intervals.setdefault(name, []).append( + Interval(old_start, eff_date, old_value) + ) + active[name] = (eff_date, value) + else: + active[name] = (eff_date, value) + + # Close all remaining intervals (with `None` as a sentinel to mark them as current). + for name, (start, value) in active.items(): + intervals.setdefault(name, []).append(Interval(start, None, value)) + + return VersionedTable(intervals) + + def lookup(self, name: str, on: date | str) -> tuple: + if isinstance(on, str): + try: + on = date.fromisoformat(on) + except ValueError as e: + raise ValueError(f"{on} is not a valid date") from e + + intervals = self._intervals.get(name) + if not intervals: + raise UnboundLocalError(f"Unknown name '{name}'") + + # The interval to which `on` belongs to will be the interval + # with the start date closest (in the past) to `on`. + starts = [interval.start for interval in intervals] + i = bisect_right(starts, on) - 1 + + # i < 0 means that there is no interval with a start date + # before `on` with `name` as a defined name. + if i < 0: + earliest = intervals[0].start.isoformat() + raise KeyError( + f"No mapping for '{name}' on {on.isoformat()} (earliest is {earliest})" + ) + + iv = intervals[i] + + # `None` corresponds to "ongoing". Check that `name` didn't expire. + if iv.end is not None and on >= iv.end: + raise KeyError( + f"'{name}' was deprecated after {iv.end.isoformat()}" + ) + + return iv.value + + @staticmethod + def from_toml_file(path: str) -> "VersionedTable": + with open(path, "rb") as f: + raw = tomllib.load(f) + + return VersionedTable.from_dict(raw) + + +# --- Example usage --- +if __name__ == "__main__": + + lut = VersionedTable.from_toml_file("signals.toml") + + print(lut.lookup("VehicleVelocity", date(2024, 6, 1))) # ["VehicleVelocity", "m/s"] + print(lut.lookup("BatteryVoltage", date(2025, 6, 1))) # ["TotalPackVoltage", "V"] diff --git a/data_tools/query/__init__.py b/data_tools/query/__init__.py index aa9529f..863fd79 100644 --- a/data_tools/query/__init__.py +++ b/data_tools/query/__init__.py @@ -18,7 +18,7 @@ .. autosummary:: :toctree: generated/ - DBClient -- Powerful and simple InfluxDB client + InfluxDBClient -- Powerful and simple InfluxDB client SunbeamClient -- A simple client for accessing Sunbeam's API, UBC Solar's custom data pipeline PostgresClient -- Powerful and simple PostgreSQL client @@ -33,16 +33,17 @@ from .flux import FluxQuery, FluxStatement -from .influxdb_query import DBClient, TimeSeriesTarget +from .influxdb_query import InfluxDBClient, TimeSeriesTarget from .postgresql_query import PostgresClient from .data_schema import get_sensor_id, get_data_units, CANLog, init_schema from ._sunbeam import SunbeamClient, SunbeamCache from ._solcast import SolcastClient, SolcastPeriod, SolcastOutput + __all__ = [ "FluxQuery", "FluxStatement", - "DBClient", + "InfluxDBClient", "PostgresClient", "TimeSeriesTarget", "get_sensor_id", diff --git a/data_tools/query/influxdb_query.py b/data_tools/query/influxdb_query.py index b2cc26e..fa33ef3 100644 --- a/data_tools/query/influxdb_query.py +++ b/data_tools/query/influxdb_query.py @@ -1,13 +1,16 @@ -from data_tools.query.flux import FluxQuery -from data_tools.utils.times import ensure_utc +from data_tools.localization import InfluxDBLanguageLocalization, CanonicalName, TemporalLocalization +from influxdb_client import InfluxDBClient as _InfluxDBClient from data_tools.collections.time_series import TimeSeries +from datetime import datetime, timezone +from data_tools.utils.times import ensure_utc +from data_tools.query.flux import FluxQuery from pydantic import BaseModel, Field -from influxdb_client import InfluxDBClient +from typing import Optional, Type from dotenv import load_dotenv -from datetime import datetime, timedelta, timezone import pandas as pd import os + DEFAULT_INFLUXDB_URL = "http://influxdb.telemetry.ubcsolar.com" @@ -26,18 +29,29 @@ class TimeSeriesTarget(BaseModel): meta: dict = Field(default_factory=dict) -class DBClient: +class InfluxDBClient: """ This class encapsulates a connection to an InfluxDB database. """ - def __init__(self, influxdb_org=None, influxdb_token=None, url=None): + def __init__( + self, + influxdb_org=None, + influxdb_token=None, + url=None, + timeout=10, + temporal_localization: Optional[Type[TemporalLocalization]] = None, + language_localization: Optional[Type[InfluxDBLanguageLocalization]] = None + ): """ Create a connection to the InfluxDB database. :param influxdb_org: The name of the InfluxDB organization. :param influxdb_token: The API Token to the InfluxDB database. :param url: The URL to the InfluxDB database, default is "http://influxdb.telemetry.ubcsolar.com" + :param timeout: The request timeout in seconds, default is 10 seconds. + :param temporal_localization: The type of temporal localization to use, default is TemporalLocalization. + :param language_localization: The type of language localization to use, default is LanguageLocalization. """ if influxdb_token is None or influxdb_org is None: load_dotenv() @@ -48,7 +62,10 @@ def __init__(self, influxdb_org=None, influxdb_token=None, url=None): self._influx_org = influxdb_org url = DEFAULT_INFLUXDB_URL if url is None else url - self._client = InfluxDBClient(url=url, org=influxdb_org, token=influxdb_token) + self._language_localization = language_localization if language_localization else InfluxDBLanguageLocalization + self._temporal_localization = temporal_localization if temporal_localization else TemporalLocalization + + self._client = _InfluxDBClient(url=url, org=influxdb_org, token=influxdb_token, timeout=timeout * 1000) def get_buckets(self) -> list[str]: """ @@ -83,13 +100,14 @@ def get_fields_in_measurement(self, bucket: str, measurement: str) -> list[str]: :param measurement: the measurement that will be queried. Must exist. :return: """ + # NOTE: This will need to be updated in 2054 to query all data properly field_query = f'''from(bucket: "{bucket}") - |> range(start: -30d) + |> range(start: -30y) |> filter(fn: (r) => r["_measurement"] == "{measurement}") |> group(columns: ["_field"]) |> distinct(column: "_field")''' - field_result = self._client.query_api().query(org=self._influx_org, query=field_query) + field_result = self._client.query_api().query(org=self._influx_org, query=field_query, params={"timeout": 20}) fields = {record.get_value() for table in field_result for record in table.records} return list(fields) @@ -101,8 +119,9 @@ def get_cars_in_measurement(self, bucket: str, measurement: str) -> list[str]: :param measurement: the measurement that will be queried. Must exist. :return: """ + # NOTE: This will need to be updated in 2054 to query all data properly field_query = f'''from(bucket: "{bucket}") - |> range(start: -30d) + |> range(start: -30y) |> distinct(column: "car")''' cars_result = self._client.query_api().query(org=self._influx_org, query=field_query) @@ -135,11 +154,8 @@ def query_series(self, start: datetime, stop: datetime, field: str, bucket: str :param car: the car which data is being queried for, default is "Brightside". :return: a TimeSeries of the resulting time-series data """ - # InfluxDB has an issue where PST timestamps were interpreted as UTC. So, we need to mutate - # the timestamps to represent a time -7 hours to compensate for the UTC offset of +7. - - utc_start = ensure_utc(start) - timedelta(hours=7) - utc_end = ensure_utc(stop) - timedelta(hours=7) + utc_start = ensure_utc(start) + utc_end = ensure_utc(stop) # Make the query query = FluxQuery() \ @@ -160,7 +176,7 @@ def query_series(self, start: datetime, stop: datetime, field: str, bucket: str return query_df - def query_time_series(self, start: datetime, stop: datetime, field: str, bucket: str = "CAN_log", + def query_time_series(self, start: datetime, stop: datetime, field: str | CanonicalName, bucket: str = "CAN_log", car: str = "Brightside", granularity: float = 0.1, units: str = "", measurement: str = None) -> TimeSeries: """ @@ -177,16 +193,33 @@ def query_time_series(self, start: datetime, stop: datetime, field: str, bucket: :param units: the units of the returned data, optional. :return: a TimeSeries of the resulting time-series data """ - query_df = self.query_series(start, stop, field, bucket, car, measurement) + if isinstance(field, CanonicalName): + field_str, measurement, units, frequency = self._language_localization.localize(field, start.date()) + granularity = 1 / frequency + else: + field_str = field + + timezone_fix = self._temporal_localization.localize(start) + start = start - timezone_fix + stop = stop - timezone_fix + + query_df = self.query_series(start, stop, field_str, bucket, car, measurement) + time_series = TimeSeries.from_query_dataframe(query_df, granularity, field_str, units) + + time_series._start = time_series._start + timezone_fix + time_series._stop = time_series._stop + timezone_fix + + return time_series - return TimeSeries.from_query_dataframe(query_df, granularity, field, units) + def close(self): + self._client.close() if __name__ == "__main__": start_time = datetime(2024, 6, 16, 10, 0, 0, tzinfo=timezone.utc) end_time = datetime(2024, 8, 16, 23, 0, 0, tzinfo=timezone.utc) - client = DBClient() + client = InfluxDBClient() pack_voltage: TimeSeries = client.query_time_series(start_time, end_time, "TotalPackVoltage", units="V", measurement="BMS") diff --git a/pyproject.toml b/pyproject.toml index 1d8ac93..17652d4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,64 +1,65 @@ -[tool.poetry] +[project] name = "ubc-solar-data-tools" description = "UBC Solar's data analysis and querying tools" -authors = ["Joshua Riefman "] -license = "MIT" readme = "README.md" -packages = [ - { include = "data_tools" } +requires-python = ">=3.11,<4.0" +license = { text = "MIT" } +authors = [{ name = "Joshua Riefman", email = "joshuariefman@gmail.com" }] +dynamic = ["version"] + + +dependencies = [ + "influxdb-client>=1.45.0,<2.0.0", + "python-dotenv>=1.0.1,<2.0.0", + "sqlalchemy>=2.0.5,<3.0.0", + "psycopg2-binary>=2.9.9,<3.0.0", + "pandas>=2.2.3,<3.0.0", + "numpy>=2.0.1,<3.0.0", + "scipy>=1.14.1,<2.0.0", + "matplotlib>=3.0.0,<4.0.0", + "pytz>=2024.2,<2025.0", + "pydantic>=2.9.2,<3.0.0", + "dill>=0.3.9,<1.0.0", + "requests>=2.32.3,<3.0.0", + "solcast[pandas]>=1.3.0,<2.0.0", + "pint>=0.25.2" ] -version = "0.0.0" # DO NOT MODIFY -[tool.poetry.dependencies] -python = "^3.11" -influxdb-client = "^1.45.0" -python-dotenv = "^1.0.1" -sqlalchemy = "^2.0.5" -psycopg2-binary = "^2.9.9" -pandas = "^2.2.3" -numpy = "^2.0.1" -scipy = "^1.14.1" -matplotlib = "3.*" -pytz = "^2024.2" -pydantic = "^2.9.2" -dill = "^0.3.9" -requests = "^2.32.3" -solcast = {extras = ["pandas"], version = "^1.3.0"} -pint = "^0.25.2" -[tool.poetry.group.test] -optional = true +[build-system] +requires = ["setuptools>=68", "wheel", "setuptools_scm>=8"] +build-backend = "setuptools.build_meta" -[tool.poetry.group.docs] -optional = true +[tool.setuptools_scm] +version_file = "data_tools/_version.py" -[tool.poetry.group.test.dependencies] -pytest = "^8.3.3" -pytest-cov = "^6.0.0" -ruff = "^0.11.2" +[tool.setuptools.package-data] +"data_tools" = ["**/*.toml"] -[tool.poetry.group.docs.dependencies] -myst-parser = "^4.0.0" -pydata-sphinx-theme = "^0.15.4" +[dependency-groups] +test = [ + "pytest>=8.3.3,<9.0.0", + "pytest-cov>=6.0.0,<7.0.0", + "ruff>=0.11.2,<0.12.0", +] +docs = [ + "myst-parser>=4.0.0,<5.0.0", + "pydata-sphinx-theme>=0.15.4,<0.16.0", +] -[tool.poetry-dynamic-versioning] -enable = true -vcs = "git" -style = "semver" +[tool.setuptools.packages.find] +include = ["data_tools*"] [tool.cibuildwheel] -archs = "auto" # Automatically detects architectures (e.g., x86, ARM) -skip = ["pp*", "*-musllinux_*", "*-win32"] # Skip PyPy (only want CPython), Musllinux, win32 wheels -build = ["cp39-*", "cp310-*", "cp311-*", "cp312-*"] +archs = "auto" +skip = ["pp*", "*-musllinux_*", "*-win32"] +build = ["cp311-*", "cp312-*", "cp313-*", "cp314-*"] manylinux-x86_64-image = "manylinux2014" manylinux-i686-image = "manylinux2014" manylinux-aarch64-image = "manylinux2014" -[build-system] -requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.1"] -build-backend = "poetry_dynamic_versioning.backend" - -[dependency-groups] -dev = [ - "pint>=0.25.2", -] +[tool.pytest.ini_options] +markers = [ + "ci_skip: skip these tests in CI", + "solcast: solcast-dependent tests" +] \ No newline at end of file diff --git a/tests/test_collect_lap_data.py b/tests/test_collect_lap_data.py index 80b69c1..e17a01c 100644 --- a/tests/test_collect_lap_data.py +++ b/tests/test_collect_lap_data.py @@ -1,9 +1,9 @@ from data_tools.lap_tools import FSGPDayLaps, collect_lap_data -from data_tools.query import DBClient +from data_tools.query import InfluxDBClient import datetime import numpy as np -client = DBClient() +client = InfluxDBClient() DAY_1_LAP_COUNT = 46 DAY_2_LAP_COUNT = 3 @@ -17,7 +17,7 @@ def test_example_usage(): the output of the function. """ - def get_middle_lap_time(start_time: datetime.datetime, end_time: datetime.datetime, data_client: DBClient): + def get_middle_lap_time(start_time: datetime.datetime, end_time: datetime.datetime, data_client: InfluxDBClient): start: float = start_time.timestamp() end: float = end_time.timestamp() return np.mean([start, end]) diff --git a/tests/test_fileloader.py b/tests/test_fileloader.py index 1ed7b0d..fa7955a 100644 --- a/tests/test_fileloader.py +++ b/tests/test_fileloader.py @@ -1,7 +1,32 @@ -from data_tools.schema import FileLoader, File, Result -from tests.test_file import canonical_path_elements, file +from data_tools.schema import FileLoader, Result, CanonicalPath, FileType, File +import pytest +@pytest.fixture +def canonical_path_elements(): + event = "event" + origin = "origin" + source = "source" + name = "name" + + return event, origin, source, name + + +@pytest.fixture +def file(canonical_path_elements): + event, origin, source, name = canonical_path_elements + data = { + "some_data": 10, + "another_field": 11 + } + + file_type = FileType.Any + canonical_path = CanonicalPath(origin=origin, event=event, source=source, name=name) + metadata = {"test": True} + description = "This is a fake File, if you didn't already know. Oops." + + return data, file_type, metadata, description, canonical_path + def test_file_loader(file): data, file_type, metadata, description, canonical_path = file diff --git a/tests/test_localization.py b/tests/test_localization.py new file mode 100644 index 0000000..ae2f084 --- /dev/null +++ b/tests/test_localization.py @@ -0,0 +1,116 @@ +from data_tools.localization import INFLUXDB_LANGUAGE_LOCALIZATION_TABLE_PATH, SUNBEAMDB_LANGUAGE_LOCALIZATION_TABLE_PATH +from data_tools.localization import VersionedTable, SpatialLocalization +from datetime import datetime, timezone, timedelta +from data_tools.localization import CanonicalName +from data_tools.query import InfluxDBClient +from datetime import date +import tomllib +import pytest + + +@pytest.fixture +def versioned_table(): + table_dict = { + "2024-01-01": { + "VehicleVelocity": ("VehicleVelocity", "km/h"), + "BatteryVoltage": ("TotalPackVoltage", "V"), + "ArrayString1Voltage": ("String1Voltage", "V"), + }, + "2025-01-01": { + "VehicleVelocity": ("MotorRotatingSpeed", "m/s"), + "BatteryVoltage": ("TotalPackVoltage", "V"), + "ArrayString1Voltage": ("MPPTAInput", "V"), + }, + "2026-01-01": { + "VehicleVelocity": ("MotorRotatingSpeed", "m/s"), + "BatteryVoltage": ("TotalPackVoltage", "V"), + "Latitude": ("GPS_Latitude", "degrees"), + } + } + + return VersionedTable.from_dict(table_dict) + +def test_localization(versioned_table): + assert versioned_table.lookup("VehicleVelocity", "2024-01-02") == ("VehicleVelocity", "km/h") + assert versioned_table.lookup("VehicleVelocity", "2025-01-02") == ("MotorRotatingSpeed", "m/s") + assert versioned_table.lookup("BatteryVoltage", "2025-01-02") == ("TotalPackVoltage", "V") + assert versioned_table.lookup("ArrayString1Voltage", "2024-01-02") == ("String1Voltage", "V") + assert versioned_table.lookup("Latitude", "2026-01-02") == ("GPS_Latitude", "degrees") + + # Check everything again with dates + assert versioned_table.lookup("VehicleVelocity", date.fromisoformat("2024-01-02")) == ("VehicleVelocity", "km/h") + assert versioned_table.lookup("VehicleVelocity", date.fromisoformat("2025-01-02")) == ("MotorRotatingSpeed", "m/s") + assert versioned_table.lookup("BatteryVoltage", date.fromisoformat("2025-01-02")) == ("TotalPackVoltage", "V") + assert versioned_table.lookup("ArrayString1Voltage", date.fromisoformat("2024-01-02")) == ("String1Voltage", "V") + assert versioned_table.lookup("Latitude", date.fromisoformat("2026-01-02")) == ("GPS_Latitude", "degrees") + + +def test_invalid_localization(versioned_table): + # Invalid Key + with pytest.raises(UnboundLocalError): + _ = versioned_table.lookup("MotorRotatingSpeed", "2024-01-02") + + # Invalid Date + with pytest.raises(ValueError): + _ = versioned_table.lookup("VehicleVelocity", "2024-67-42") + + # Name isn't available yet + with pytest.raises(KeyError): + _ = versioned_table.lookup("Latitude", "2024-01-02") + + # Name doesn't exist anymore + with pytest.raises(KeyError): + _ = versioned_table.lookup("ArrayString1Voltage", "2026-01-02") + + +def test_all_names(): + for path in [INFLUXDB_LANGUAGE_LOCALIZATION_TABLE_PATH, SUNBEAMDB_LANGUAGE_LOCALIZATION_TABLE_PATH]: + with open(path, "rb") as f: + data = tomllib.load(f) + + for _, section_dict in data.items(): + for name in section_dict.keys(): + assert name in CanonicalName, (f"The name {name} is defined in the localization table but " + f"was not found as a CanonicalName option. Please add it.") + + +@pytest.mark.ci_skip +def test_temporal_localization(): + client = InfluxDBClient() + + # 10AM EDT = 2PM UTC + start_time = datetime(2024, 7, 16, 13, 59, 0, tzinfo=timezone.utc) + end_time = datetime(2024, 7, 16, 14, 1, 0, tzinfo=timezone.utc) + + ts = client.query_time_series(start_time, end_time, CanonicalName.VehicleSpeed) + assert ts[0] == 0.0 # We start stopped + + # Make sure the time we think it is the actual returned time + assert (ts.datetime_x_axis[0] - datetime(2024, 7, 16, 13, 59, 0, tzinfo=timezone.utc)) < timedelta(minutes=2) + + # This is right before we started driving, should return no data. + with pytest.raises(ValueError): + start_time = datetime(2024, 7, 16, 13, 40, 0, tzinfo=timezone.utc) + end_time = datetime(2024, 7, 16, 13, 45, 0, tzinfo=timezone.utc) + + client.query_time_series(start_time, end_time, CanonicalName.VehicleSpeed) + + +def test_spatial_localization(): + coords, name = SpatialLocalization.localize(datetime(2024, 7, 16, 13, 59, 0, tzinfo=timezone.utc)) + assert coords[10] == [37.00026491, -86.37041498] + assert len(coords) == 290 + assert name == "NCM Motorsports Park" + + coords, name = SpatialLocalization.localize(datetime(2025, 1, 16, 13, 59, 0, tzinfo=timezone.utc)) + assert len(coords) == 0 + assert name == "UBC" + + coords, name = SpatialLocalization.localize(datetime(2025, 7, 1, 13, 59, 0, tzinfo=timezone.utc)) + assert coords[11] == [37.00031195, -86.37062837] + assert len(coords) == 290 + assert name == "NCM Motorsports Park" + + coords, name = SpatialLocalization.localize(datetime(2025, 1, 16, 13, 59, 0, tzinfo=timezone.utc)) + assert len(coords) == 0 + assert name == "UBC" diff --git a/tests/test_querying.py b/tests/test_querying.py new file mode 100644 index 0000000..7ab2b01 --- /dev/null +++ b/tests/test_querying.py @@ -0,0 +1,21 @@ +from data_tools.query import InfluxDBClient +from data_tools.localization import CanonicalName +from data_tools.collections import TimeSeries +from datetime import datetime, timezone +import pytest + +@pytest.mark.ci_skip +def test_query(): + client = InfluxDBClient() + + start_time = datetime(2024, 7, 12, 10, 0, 0, tzinfo=timezone.utc) + end_time = datetime(2024, 7, 14, 23, 0, 0, tzinfo=timezone.utc) + + pack_voltage: TimeSeries = client.query_time_series(start_time, end_time, CanonicalName.VehicleSpeed) + assert str(pack_voltage.units) == "meter / second" + + start_time = datetime(2026, 1, 19, 0, 0, 0, tzinfo=timezone.utc) + end_time = datetime(2026, 1, 22, 0, 0, 0, tzinfo=timezone.utc) + + pack_voltage: TimeSeries = client.query_time_series(start_time, end_time, CanonicalName.VehicleSpeed) + assert str(pack_voltage.units) == "kilometer / hour" diff --git a/tests/test_solcast_query.py b/tests/test_solcast_query.py new file mode 100644 index 0000000..04651a0 --- /dev/null +++ b/tests/test_solcast_query.py @@ -0,0 +1,127 @@ +from data_tools.query import SolcastOutput, SolcastPeriod, SolcastClient +from solcast.unmetered_locations import UNMETERED_LOCATIONS +import pytest +import os +import datetime +from datetime import datetime, timedelta, UTC +from dotenv import load_dotenv +import numpy as np + +load_dotenv() + + +@pytest.mark.parametrize("period, expected_frequency", [ + (SolcastPeriod.PT5M, 12), + (SolcastPeriod.PT10M, 6), + (SolcastPeriod.PT15M, 4), + (SolcastPeriod.PT20M, 3), + (SolcastPeriod.PT30M, 2), + (SolcastPeriod.PT60M, 1), +]) +def test_as_frequency(period, expected_frequency): + assert period.as_frequency() == expected_frequency + + +def test_invalid_period(): + with pytest.raises(ValueError): + SolcastPeriod("PT25M") + + +@pytest.fixture +@pytest.mark.solcast +def solcast_client(): + api_key = os.getenv("SOLCAST_API_KEY") + return SolcastClient(api_key) + + +@pytest.mark.parametrize("input_seconds, expected_hours", [ + (0, 0), # Less than a minute + (59, 0), # Still less than a minute + (60, 1), # Exactly one minute, still rounds down + (3599, 1), # 1 second before 1 hour, within threshold + (3600, 1), # Exactly 1 hour + (3601, 1), # Just 1 second past 1 hour, but > threshold, round up + (3659, 1), # Just under threshold, still rounds down + (3660, 1), # Just under threshold, still rounds down + (3661, 2), # Exactly threshold: 1 minute into next hour, round up + (7199, 2), # 1 second before 2 hours + (7200, 2), # Exactly 2 hours + (7260, 2), # 1 minute past 2 hours, round up +]) +@pytest.mark.solcast +def test_round_to_hour(input_seconds, expected_hours): + assert SolcastClient._round_to_hour(input_seconds) == expected_hours + + +@pytest.mark.parametrize("start_offset, end_offset, expected_past_hours, expected_future_hours", [ + (timedelta(hours=3, minutes=30), timedelta(hours=3, minutes=30), 4, 4), + (timedelta(hours=3, minutes=0), timedelta(hours=3, minutes=0), 3, 3), + (timedelta(hours=2, minutes=59), None, 3, 0), + (None, timedelta(hours=2, minutes=59), 0, 3) +]) +def test_solcast_time_resolution(start_offset, end_offset, expected_past_hours, expected_future_hours, solcast_client): + start_time = (datetime.now(UTC) - start_offset) if start_offset else datetime.now(UTC) + end_time = (datetime.now(UTC) + end_offset) if end_offset else datetime.now(UTC) + + num_past_hours, num_future_hours = solcast_client._parse_num_hours(start_time, end_time) + assert num_past_hours == expected_past_hours, f"Expected {expected_past_hours} past hours, got {num_past_hours}" + assert num_future_hours == expected_future_hours, f"Expected {expected_future_hours} future hours, got {num_future_hours}" + +@pytest.mark.solcast +def test_solcast_query(): + api_key = os.getenv("SOLCAST_API_KEY") + client = SolcastClient(api_key) + + test_location = UNMETERED_LOCATIONS["Sydney Opera House"] + + start_time = datetime.now(UTC) - timedelta(hours=3) + end_time = datetime.now(UTC) + timedelta(hours=3) + + desired_outputs = [SolcastOutput(output) for output in ["ghi", "ghi10"]] + + time, ghi, ghi10 = client.query( + latitude=test_location["latitude"], + longitude=test_location["longitude"], + period=SolcastPeriod.PT60M, + output_parameters=desired_outputs, + tilt=0, + azimuth=0, + start_time=start_time, + end_time=end_time, + ) + + assert len(time) == len(ghi) == len(ghi10) == 1 + 3 + 3 # Number of forecasts = 1 + future hours + past hours + + # The first three forecasts will be live, so no ghi10 + assert np.all(np.isnan(ghi10[0:3])) + + # Everything should be non-null + assert np.all(~np.isnan(ghi10[3:])) + assert np.all(~np.isnan(ghi)) + +@pytest.mark.solcast +def test_datetime_x_axis(): + api_key = os.getenv("SOLCAST_API_KEY") + client = SolcastClient(api_key) + + test_location = UNMETERED_LOCATIONS["Sydney Opera House"] + + start_time = datetime.now(UTC) - timedelta(hours=3) + end_time = datetime.now(UTC) + timedelta(hours=3) + + desired_outputs = [SolcastOutput(output) for output in ["ghi", "ghi10"]] + + time, ghi, ghi10 = client.query( + latitude=test_location["latitude"], + longitude=test_location["longitude"], + 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