diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 77ca1bf..f452ac9 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -1,4 +1,4 @@ -name: CI Pipeline for SDK - Python +name: CI pipeline for India Forecast App on: push @@ -8,16 +8,16 @@ jobs: runs-on: ubuntu-latest steps: - name: Check out the repo - uses: actions/checkout@v2 - + uses: actions/checkout@v4 + - name: Install poetry run: pipx install poetry==1.7.1 - + - name: Install python - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: - python-version: '3.9' - cache: poetry + python-version: '3.11' + cache: 'poetry' - name: Install python dependencies run: poetry install @@ -34,7 +34,7 @@ jobs: release: needs: [lint_and_test] if: github.ref_name == 'main' - uses: openclimatefix/.github/.github/workflows/docker-release.yml@v1.2.0 + uses: openclimatefix/.github/.github/workflows/docker-release.yml@v1.8.1 secrets: DOCKERHUB_USERNAME: ${{ secrets.DOCKERHUB_USERNAME }} DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }} diff --git a/Dockerfile b/Dockerfile index 25fb854..85dfb85 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,4 +1,4 @@ -FROM python:3.9-slim as base +FROM python:3.11-slim as base ENV PYTHONFAULTHANDLER=1 \ PYTHONHASHSEED=random \ @@ -8,6 +8,9 @@ WORKDIR /app FROM base as builder +RUN apt-get update +RUN apt-get install -y gdal-bin libgdal-dev g++ + ENV PIP_DEFAULT_TIMEOUT=100 \ PIP_DISABLE_PIP_VERSION_CHECK=1 \ PIP_NO_CACHE_DIR=1 \ diff --git a/Makefile b/Makefile index 76689d6..328017d 100644 --- a/Makefile +++ b/Makefile @@ -1,20 +1,15 @@ # # This mostly contains shortcut for multi-command steps. # -SRC = india_forecast_app tests +SRC = india_forecast_app scripts tests .PHONY: lint lint: poetry run ruff $(SRC) - poetry run black --check $(SRC) - poetry run isort --check $(SRC) - .PHONY: format format: poetry run ruff --fix $(SRC) - poetry run black $(SRC) - poetry run isort $(SRC) .PHONY: test test: diff --git a/README.md b/README.md index 40da1b6..b18491d 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,35 @@ make format make test ``` +## Running the app locally +Replace `{DB_URL}` with a postgres DB connection string (see below for setting up a ephemeral local DB) + +If testing on a local DB, you may use the following script to seed the the DB with a dummy user, site and site_group. +``` +DB_URL={DB_URL} poetry run seeder +``` +⚠️ Note this is a destructive script and will drop all tables before recreating them to ensure a clean slate. DO NOT RUN IN PRODUCTION ENVIRONMENTS + +This example invokes app.py and passes the help flag +``` +DB_URL={DB_URL} poetry run app --help +``` + +### Starting a local database using docker + +```bash + docker run \ + -it --rm \ + -e POSTGRES_USER=postgres \ + -e POSTGRES_PASSWORD=postgres \ + -p 54545:5432 postgres:14-alpine \ + postgres +``` + +The corresponding `DB_URL` will be + +`postgresql://postgres:postgres@localhost:54545/postgres` + ## Building and running in [Docker](https://www.docker.com/) Build the Docker image diff --git a/india_forecast_app/__init__.py b/india_forecast_app/__init__.py index 076b6e8..cbca200 100644 --- a/india_forecast_app/__init__.py +++ b/india_forecast_app/__init__.py @@ -1,2 +1,2 @@ """India Forecast App""" -__version__ = "0.1.0" \ No newline at end of file +__version__ = "0.1.0" diff --git a/india_forecast_app/app.py b/india_forecast_app/app.py index 085020e..fd46797 100644 --- a/india_forecast_app/app.py +++ b/india_forecast_app/app.py @@ -1,10 +1,188 @@ +""" +Main forecast app entrypoint +""" + +import datetime as dt +import logging +import os +import sys + import click +import pandas as pd +from pvsite_datamodel import DatabaseConnection +from pvsite_datamodel.read import get_sites_by_country +from pvsite_datamodel.write import insert_forecast_values +from sqlalchemy.orm import Session + +from .model import DummyModel + +log = logging.getLogger(__name__) + + +def get_site_ids(db_session: Session) -> list[str]: + """ + Gets all avaiable site_ids in India + + Args: + db_session: A SQLAlchemy session + + Returns: + A list of site_ids + """ + + sites = get_sites_by_country(db_session, country="india") + + return [s.site_uuid for s in sites] + + +def get_model(): + """ + Instantiates and returns the forecast model ready for running inference + + Returns: + A forecasting model + """ + + model = DummyModel() + return model + + +def run_model(model, site_id: str, timestamp: dt.datetime): + """ + Runs inference on model for the given site & timestamp + + Args: + model: A forecasting model + site_id: A specific site ID + timestamp: timestamp to run a forecast for + + Returns: + A forecast or None if model inference fails + """ + + try: + forecast = model.predict(site_id=site_id, timestamp=timestamp) + except Exception: + log.error( + f"Error while running model.predict for site_id={site_id}. Skipping", + exc_info=True, + ) + return None + + return forecast + + +def save_forecast(db_session: Session, forecast, write_to_db: bool): + """ + Saves a forecast for a given site & timestamp + + Args: + db_session: A SQLAlchemy session + forecast: a forecast dict containing forecast meta and predicted values + write_to_db: If true, forecast values are written to db, otherwise to stdout + + Raises: + IOError: An error if database save fails + """ + + forecast_meta = { + "site_uuid": forecast["meta"]["site_id"], + "timestamp_utc": forecast["meta"]["timestamp"], + "forecast_version": forecast["meta"]["version"], + } + forecast_values_df = pd.DataFrame(forecast["values"]) + forecast_values_df["horizon_minutes"] = ( + (forecast_values_df["start_utc"] - forecast_meta["timestamp_utc"]) + / pd.Timedelta("60s") + ).astype("int") + + if write_to_db: + insert_forecast_values(db_session, forecast_meta, forecast_values_df) + else: + log.info( + f'site_id={forecast_meta["site_uuid"]}, \ + timestamp={forecast_meta["timestamp_utc"]}, \ + version={forecast_meta["forecast_version"]}, \ + forecast values={forecast_values_df.to_string()}' + ) + @click.command() -@click.option("--site", help="Site ID") -def app(site): - """Runs the forecast for a given site""" - print(f"Running forecast for site: {site}") +@click.option( + "--date", + "-d", + "timestamp", + type=click.DateTime(formats=["%Y-%m-%d-%H-%M"]), + default=None, + help='Date-time (UTC) at which we make the prediction. \ +Format should be YYYY-MM-DD-HH-mm. Defaults to "now".', +) +@click.option( + "--write-to-db", + is_flag=True, + default=False, + help="Set this flag to actually write the results to the database.", +) +@click.option( + "--log-level", + default="info", + help="Set the python logging log level", + show_default=True, +) +def app(timestamp: dt.datetime | None, write_to_db: bool, log_level: str): + """ + Main function for running forecasts for sites in India + """ + logging.basicConfig(stream=sys.stdout, level=getattr(logging, log_level.upper())) + + if timestamp is None: + timestamp = dt.datetime.now(tz=dt.UTC) + log.info('Timestamp omitted - will generate forecasts for "now"') + else: + # Ensure timestamp is UTC + timestamp.replace(tzinfo=dt.UTC) + + # 0. Initialise DB connection + url = os.environ["DB_URL"] + + db_conn = DatabaseConnection(url, echo=False) + + with db_conn.get_session() as session: + + # 1. Get sites + log.info("Getting sites...") + site_ids = get_site_ids(session) + log.info(f"Found {len(site_ids)} sites") + + # 2. Load model + log.info("Loading model...") + model = get_model() + log.info("Loaded model") + + # 3. Run model for each site + for site_id in site_ids: + log.info(f"Running model for site={site_id}...") + forecast_values = run_model(model=model, site_id=site_id, timestamp=timestamp) + + if forecast_values is None: + log.info(f"No forecast values for site_id={site_id}") + else: + # 4. Write forecast to DB or stdout + log.info(f"Writing forecast for site_id={site_id}") + forecast = { + "meta": { + "site_id": site_id, + "version": model.version, + "timestamp": timestamp, + }, + "values": forecast_values, + } + save_forecast( + session, + forecast=forecast, + write_to_db=write_to_db, + ) + if __name__ == "__main__": - app() \ No newline at end of file + app() diff --git a/india_forecast_app/model.py b/india_forecast_app/model.py new file mode 100644 index 0000000..cb3b24f --- /dev/null +++ b/india_forecast_app/model.py @@ -0,0 +1,104 @@ +""" +Model classes (currently just allows for loading a dummy model) +""" + +import datetime as dt +import math +import random + + +class DummyModel: + """ + Dummy model that emulates the capabilities expected by a real model + """ + + @property + def version(self): + """Version number""" + return "0.0.0" + + def __init__(self): + """Initializer for the model""" + pass + + def predict(self, site_id: str, timestamp: dt.datetime): + """Make a prediction for the model""" + return self._generate_dummy_forecast(timestamp) + + def _generate_dummy_forecast(self, timestamp: dt.datetime): + """Generates a fake 2-day forecast (15 minute intervals""" + start = timestamp + end = timestamp + dt.timedelta(days=2) + step = dt.timedelta(minutes=15) + numSteps = int((end - start) / step) + values: list[dict] = [] + + for i in range(numSteps): + time = start + i * step + _yield = _basicSolarYieldFunc(int(time.timestamp())) + values.append( + { + "start_utc": time, + "end_utc": time + step, + "forecast_power_kw": int(_yield), + } + ) + + return values + + +def _basicSolarYieldFunc(timeUnix: int, scaleFactor: int = 10000) -> float: + """Gets a fake solar yield for the input time. + + The basic yield function is built from a sine wave + with a period of 24 hours, peaking at 12 hours. + Further convolutions modify the value according to time of year. + + Args: + timeUnix: The time in unix time. + scaleFactor: The scale factor for the sine wave. + A scale factor of 10000 will result in a peak yield of 10 kW. + """ + # Create a datetime object from the unix time + time = dt.datetime.fromtimestamp(timeUnix, tz=dt.UTC) + # The functions x values are hours, so convert the time to hours + hour = time.day * 24 + time.hour + time.minute / 60 + time.second / 3600 + + # scaleX makes the period of the function 24 hours + scaleX = math.pi / 12 + # translateX moves the minimum of the function to 0 hours + translateX = -math.pi / 2 + # translateY modulates the base function based on the month. + # * + 0.5 at the summer solstice + # * - 0.5 at the winter solstice + translateY = math.sin((math.pi / 6) * time.month + translateX) / 2.0 + + # basefunc ranges between -1 and 1 with a period of 24 hours, + # peaking at 12 hours. + # translateY changes the min and max to range between 1.5 and -1.5 + # depending on the month. + basefunc = math.sin(scaleX * hour + translateX) + translateY + # Remove negative values + basefunc = max(0, basefunc) + # Steepen the curve. 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"scripts.seed_local_db:seed_db" + +[tool.ruff] +# Enable pycodestyle (`E`) and Pyflakes (`F`) codes by default. +select = ["B", "E", "F", "D", "I"] +ignore = ["D200","D202","D210","D212","D415","D105",] + +# Allow autofix for all enabled rules (when `--fix`) is provided. +fixable = ["A", "B", "C", "D", "E", "F", "I"] +unfixable = [] + +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".hg", + ".mypy_cache", + ".nox", + ".pants.d", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "venv", + "tests", +] + +# Same as Black. +line-length = 100 + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +# Assume Python 3.11. +target-version = "py311" +fix = false + +# Group violations by containing file. +output-format = "github" +ignore-init-module-imports = true + +[tool.ruff.mccabe] +# Unlike Flake8, default to a complexity level of 10. +max-complexity = 10 + +[tool.ruff.pydocstyle] +# Use Google-style docstrings. +convention = "google" + +[tool.ruff.per-file-ignores] +"__init__.py" = ["F401", "E402"] [tool.coverage.run] -omit = "tests/*" +omit = ["tests/*", "scripts/*"] [build-system] requires = ["poetry-core==1.7.1"] diff --git a/scripts/seed_local_db.py b/scripts/seed_local_db.py new file mode 100644 index 0000000..a3bf985 --- /dev/null +++ b/scripts/seed_local_db.py @@ -0,0 +1,73 @@ +""" +Script for seeding a local DB. +""" + +import os + +from pvsite_datamodel.connection import DatabaseConnection +from pvsite_datamodel.sqlmodels import Base +from pvsite_datamodel.write.user_and_site import ( + add_site_to_site_group, + create_site, + create_site_group, + create_user, +) + + +def _confirm_action() -> bool: + """ + Provides opportunity for user to decide whether to proceed with code execution + """ + while True: + confirm = input( + "!! This script will drop all tables and \ +recreate them before seeding. Are you sure you wish to proceed? [y]Yes or [n]No: " + ) + if confirm.strip().lower() in ("y", "n"): + return confirm == "y" + print("\nInvalid Option. Please Enter a Valid Option.") + + +def seed_db(): + """ + Drops existing tables and recreated schema before seeding some dummy data + """ + url = os.getenv("DB_URL") + db_conn = DatabaseConnection(url=url, echo=False) + + # 1. Create tables + engine = db_conn.engine + if not _confirm_action(): + print("Quitting.") + return + + Base.metadata.drop_all(engine) + Base.metadata.create_all(engine) + + with db_conn.get_session() as session: + dummy_user = "dummy@openclimatefix.org" + + print("Seeding database") + site_group = create_site_group(session, site_group_name="dummy_site_group") + + _ = create_user( + session, email=dummy_user, site_group_name=site_group.site_group_name + ) + + site, _ = create_site( + session, + client_site_id=1234, + client_site_name="dummy_site", + latitude=0.0, + longitude=0.0, + capacity_kw=10.0, + country="india", + ) + + add_site_to_site_group( + session, + site_uuid=site.site_uuid, + site_group_name=site_group.site_group_name, + ) + + print("Database successfully seeded") diff --git a/tests/__init__.py b/tests/__init__.py index e69de29..63d1d2f 100644 --- a/tests/__init__.py +++ b/tests/__init__.py @@ -0,0 +1,3 @@ +""" +Tests __init__ +""" \ No newline at end of file diff --git a/tests/_utils.py b/tests/_utils.py new file mode 100644 index 0000000..109e690 --- /dev/null +++ b/tests/_utils.py @@ -0,0 +1,21 @@ +"""Testing utils.""" + +from click.testing import CliRunner + + +def run_click_script(func, args: list[str], catch_exceptions: bool = False): + """Util to test click scripts while showing the stdout.""" + + runner = CliRunner() + + # We catch the exception here no matter what, but we'll reraise later if need be. + result = runner.invoke(func, args, catch_exceptions=True) + + # Without this the output to stdout/stderr is grabbed by click's test runner. + # print(result.output) + + # In case of an exception, raise it so that the test fails with the exception. + if result.exception and not catch_exceptions: + raise result.exception + + return result diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..159e252 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,90 @@ +""" +Fixtures for testing +""" + + +import datetime as dt +import os + +import pytest +from pvsite_datamodel.sqlmodels import Base, SiteSQL +from sqlalchemy import create_engine +from sqlalchemy.orm import Session +from testcontainers.postgres import PostgresContainer + + +@pytest.fixture(scope="session") +def engine(): + """Database engine fixture.""" + + with PostgresContainer("postgres:14.5") as postgres: + url = postgres.get_connection_url() + os.environ["DB_URL"] = url + engine = create_engine(url) + Base.metadata.create_all(engine) + + yield engine + + +@pytest.fixture() +def db_session(engine): + """Return a sqlalchemy session, which tears down everything properly post-test.""" + + connection = engine.connect() + # begin the nested transaction + transaction = connection.begin() + # use the connection with the already started transaction + + with Session(bind=connection) as session: + yield session + + session.close() + # roll back the broader transaction + transaction.rollback() + # put back the connection to the connection pool + connection.close() + session.flush() + + engine.dispose() + + +@pytest.fixture(scope="session", autouse=True) +def db_data(engine): + """Seed some initial data into DB.""" + + with engine.connect() as connection: + with Session(bind=connection) as session: + n_sites = 3 + + # Sites + for i in range(n_sites): + site = SiteSQL( + client_site_id=i + 1, + latitude=51, + longitude=3, + capacity_kw=4, + ml_id=i, + country="india" + ) + session.add(site) + + session.commit() + + +@pytest.fixture() +def forecast_values(): + """Dummy forecast values""" + + n = 10 # number of forecast values + step = 15 # in minutes + init_utc = dt.datetime.now(dt.timezone.utc) + start_utc = [init_utc + dt.timedelta(minutes=i * step) for i in range(n)] + end_utc = [d + dt.timedelta(minutes=step) for d in start_utc] + forecast_power_kw = [i * 10 for i in range(n)] + forecast_values = { + "start_utc": start_utc, + "end_utc": end_utc, + "forecast_power_kw": forecast_power_kw + } + + return forecast_values diff --git a/tests/test_app.py b/tests/test_app.py index f3b465f..c0cae05 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -1,2 +1,95 @@ -def test_app(): - pass \ No newline at end of file +""" +Tests for functions in app.py +""" +import datetime as dt +import uuid + +import pytest +from pvsite_datamodel.read import get_all_sites +from pvsite_datamodel.sqlmodels import ForecastSQL, ForecastValueSQL, SiteSQL + +from india_forecast_app.app import app, get_model, get_site_ids, run_model, save_forecast +from india_forecast_app.model import DummyModel + +from ._utils import run_click_script + + +def test_get_site_ids(db_session): + """Test for correct site ids""" + + site_ids = get_site_ids(db_session) + + assert len(site_ids) == 3 + for site_id in site_ids: + assert isinstance(site_id, uuid.UUID) + + +def test_get_model(): + """Test for getting valid model""" + + model = get_model() + + assert hasattr(model, 'version') + assert isinstance(model.version, str) + assert hasattr(model, 'predict') + + +def test_run_model(db_session): + """Test for running model""" + + site = db_session.query(SiteSQL).first() + model = DummyModel() + + forecast = run_model( + model=model, + site_id=site.site_uuid, + timestamp=dt.datetime.now(tz=dt.UTC) + ) + + assert isinstance(forecast, list) + assert len(forecast) == 192 # value for every 15mins over 2 days + assert all([isinstance(value["start_utc"], dt.datetime) for value in forecast]) + assert all([isinstance(value["end_utc"], dt.datetime) for value in forecast]) + assert all([isinstance(value["forecast_power_kw"], int) for value in forecast]) + + +def test_save_forecast(db_session, forecast_values): + """Test for saving forecast""" + + site = get_all_sites(db_session)[0] + + forecast = { + "meta": { + "site_id": site.site_uuid, + "version": "0.0.0", + "timestamp": dt.datetime.now(tz=dt.UTC) + }, + "values": forecast_values, + } + + save_forecast(db_session, forecast, write_to_db=True) + + assert db_session.query(ForecastSQL).count() == 1 + assert db_session.query(ForecastValueSQL).count() == 10 + + +@pytest.mark.parametrize("write_to_db", [True, False]) +def test_app(write_to_db, db_session): + """Test for running app from command line""" + + init_n_forecasts = db_session.query(ForecastSQL).count() + init_n_forecast_values = db_session.query(ForecastValueSQL).count() + + args = ["--date", dt.datetime.now(tz=dt.UTC).strftime("%Y-%m-%d-%H-%M")] + if write_to_db: + args.append('--write-to-db') + + result = run_click_script(app, args) + assert result.exit_code == 0 + + if write_to_db: + assert db_session.query(ForecastSQL).count() == init_n_forecasts + 3 + assert db_session.query(ForecastValueSQL).count() == init_n_forecast_values + (3 * 192) + else: + assert db_session.query(ForecastSQL).count() == init_n_forecasts + assert db_session.query(ForecastValueSQL).count() == init_n_forecast_values