Add FlexMeasures plugins, USEF protocol, and Cariflex simulator

- flexmeasures-entsoe: ENTSO-E data plugin
- flexmeasures-weather: Weather data plugin
- USEF Flex Trading Protocol PDF (2.4MB)
- Cariflex simulator (publishes to Redis)
- Dashboard Grafana updated with correct InfluxDB queries
- All tools extracted in /tools/
This commit is contained in:
Eric F
2026-06-08 07:38:57 -04:00
parent 3fb90a8033
commit d4974e3241
72 changed files with 5185 additions and 0 deletions

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[flake8]
exclude = .git,__pycache__,documentation
max-line-length = 160
max-complexity = 13
select = B,C,E,F,W,B9
ignore = E501, W503, E203

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openDraftPR: true
autoCloseIssue: true

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name: lint-and-test
on: push
jobs:
check:
runs-on: ubuntu-latest
name: Check (on Python 3.11)
steps:
- uses: actions/setup-python@v4
with:
python-version: 3.11
- uses: actions/checkout@v3
- uses: pre-commit/action@v3.0.0
test:
needs: check
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
py_version: [ '3.11' ]
name: "Test (on Python ${{ matrix.py_version }})"
steps:
- uses: actions/setup-python@v2
with:
python-version: ${{ matrix.py_version }}
- name: Check out src from Git
uses: actions/checkout@v3
- name: Install SQL extensions
run: |
sudo apt-get update
sudo apt-get -y install postgresql-client
psql -h $PGHOST -p $PGPORT --file scripts/load-psql-extensions.sql -U $PGUSER $PGDB;
- name: Install necessary items for netcdf
run: |
sudo apt-get install libhdf5-serial-dev netcdf-bin libnetcdf-dev
- run: make test
env:
PGHOST: 127.0.0.1
PGPORT: 5432
PGUSER: flexmeasures_test
PGDB: flexmeasures_test
PGPASSWORD: flexmeasures_test
services:
# Label used to access the service container
postgres:
# Docker Hub image
image: postgres:14.17
env:
POSTGRES_USER: flexmeasures_test
POSTGRES_PASSWORD: flexmeasures_test
POSTGRES_DB: flexmeasures_test
ports:
- 5432:5432
# needed because the postgres container does not provide a healthcheck
options: --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 5

84
tools/flexmeasures-weather/.gitignore vendored Normal file
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
# Flask stuff:
instance/
.webassets-cache
# Sphinx documentation
docs/_build/
# IPython
profile_default/
ipython_config.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# custom project files
.vscode
*.pickle
.ipynb_checkpoints/
notebooks/.ipynb_checkpoints/
flexmeasures.log
.gitconfig.*

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repos:
- repo: https://github.com/pycqa/flake8
rev: 7.1.1 # New version tags can be found here: https://github.com/pycqa/flake8/tags
hooks:
- id: flake8
name: flake8 (code linting)
- repo: https://github.com/psf/black
rev: 24.8.0 # New version tags can be found here: https://github.com/psf/black/tags
hooks:
- id: black
name: black (code formatting)
- repo: local
hooks:
- id: mypy
name: mypy (static typing)
pass_filenames: false
language: script
entry: run_mypy.sh
verbose: true

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# Note: use tabs
# actions which are virtual, i.e. not a script
.PHONY: install install-for-dev install-deps install-flexmeasures-weather test freeze-deps upgrade-deps
# ---- Development ---
test:
make install-for-dev
pytest
# ---- Installation ---
install: install-deps install-flexmeasures-weather
install-for-dev:
make freeze-deps
pip-sync requirements/app.txt requirements/dev.txt requirements/test.txt
make install-flexmeasures-weather
pre-commit install
install-deps:
make install-pip-tools
make freeze-deps
pip-sync requirements/app.txt
install-flexmeasures-weather:
pip install -e .
install-pip-tools:
pip3 install -q "pip-tools>=6.2"
freeze-deps:
make install-pip-tools
pip-compile -o requirements/app.txt requirements/app.in
pip-compile -o requirements/test.txt requirements/test.in
pip-compile -o requirements/dev.txt requirements/dev.in
upgrade-deps:
make install-pip-tools
pip-compile --upgrade -o requirements/app.txt requirements/app.in
pip-compile --upgrade -o requirements/test.txt requirements/test.in
pip-compile --upgrade -o requirements/dev.txt requirements/dev.in
make test

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# FLEXMEASURES-WEATHER - a plugin for FlexMeasures to integrate weather forecasts
This plugin currently supports two Weather API services: [OpenWeatherMap One Call API](https://openweathermap.org/api/one-call-3) and [Weather API](https://www.weatherapi.com/). The configuration is controlled via your FlexMeasures config file.
## Usage
To register a new weather sensor:
`flexmeasures weather register-weather-sensor --name "wind speed" --latitude 30 --longitude 40`
Currently supported: wind speed, temperature & irradiance.
To collect weather forecasts:
`flexmeasures weather get-weather-forecasts --location 30,40`
This saves forecasts for your registered sensors in the database.
Use the `--help`` option for more options, e.g. for specifying two locations and requesting that a number of weather stations cover the bounding box between them (where the locations represent top left and bottom right).
Notes about weather sensor setup:
- Weather sensors are public assets in FlexMeasures. They are accessible by all accounts on a FlexMeasures server.
- The resolution is one hour. Weather also supports minutely data within the upcoming hour(s), but that is not supported here.
An alternative usage is to save raw results in JSON files (for later processing), like this:
`flexmeasures weather get-weather-forecasts --location 30,40 --store-as-json-files --region somewhere`
This saves the complete response from the Weather Provider in a local folder (i.e. no sensor registration needed, this is a direct way to use Weather APIs, without FlexMeasures integration). `region` will become a subfolder.
Finally, note that these APIs allow free calls, but not without limits.
For instance, currently 1000 free calls per day can be made to the OpenWeatherMap API,
so you can make a call every 15 minutes for up to 10 locations or every hour for up to 40 locations (or get a paid account).
## Setup
### Installation
To add as plugin to an existing FlexMeasures system, add "/path/to/flexmeasures-weather-repo/flexmeasures_weather" to your FlexMeasures config file,
using the FLEXMEASURES_PLUGINS setting (a list).
Alternatively, if you installed this plugin as a package (e.g. via `python setup.py install`, `pip install -e` or `pip install flexmeasures_weather` after this project is on Pypi), then "flexmeasures_weather" suffices.
To enable weather forecast functionality, two PostgreSQL extensions must be installed. Run the following SQL commands in your database:
```
CREATE EXTENSION IF NOT EXISTS cube;
CREATE EXTENSION IF NOT EXISTS earthdistance;
```
These extensions provide support for geographical calculations such as `ll_to_earth` and `earth_distance`, which we use to find the nearest weather station asset.
### Configuration
Add the following entries to your config:
```ini
# Select the weather provider to use: "OWM" (OpenWeatherMap) or "WAPI" (Weather API)
WEATHER_PROVIDER = "OWM"
# API key for the selected weather provider
WEATHERAPI_KEY = "your-api-key-here"
# Name to register the weather data source in FlexMeasures. The default is 'Weather'.
# Examples: "OpenWeatherMap" (for backwards compatibility with the OWM plugin).
WEATHER_DATA_SOURCE_NAME = "OpenWeatherMap"
# File path to store weather data in JSON format
WEATHER_FILE_PATH_LOCATION = "/path/to/weather_output.json"
```
### Extending to Other Weather API Services
To expand the plugin's coverage to additional weather API services:
1. **Update the configuration**
Change the `WEATHER_PROVIDER` setting in your config to the identifier for the new API service (e.g., `NEWAPI`), and provide the necessary credentials in `WEATHERAPI_KEY`.
2. **Implement a new API function**
Create a function named in the format:
```python
def call_NEWAPI_api(...):
# Your logic to call the API and return data in the expected format
```
This function should return data in the same structure as used by the original OpenWeatherMap integration, and **must have at least 48 hours of forecast data from the time of the call**.
You also need a provider-specific mapping entry in `flexmeasures_weather/sensor_specs.py`. Each supported sensor should include the new provider's response field name, for example:
```python
dict(
fm_sensor_name="temperature",
OWM_sensor_name="temp",
WAPI_sensor_name="temp_c",
NEWAPI_sensor_name="temperatureC",
unit="°C",
event_resolution=timedelta(minutes=60),
attributes=weather_attributes,
)
```
3. **Integrate into the plugin**
Modify the `call_api` function in the `weather.py` file to include a conditional branch for the new provider:
```python
def call_api(...):
if provider not in ['OWM', 'WAPI', ..., 'NEWAPI']:
raise Exception
if provider == 'NEWAPI':
return call_NEWAPI_api(...)
```
4. **Finalize and contribute**
Once you've implemented and tested the plugin with your chosen API service:
- Update this README to reflect the new configuration and usage details.
- Submit a pull request with your changes for review.
> This modular structure allows for seamless integration of additional services while maintaining consistency and clarity in data handling.
## Development
We use pre-commit to keep code quality up.
Install necessary tools with:
pip install pre-commit
pre-commit install
or:
make install-for-dev
Try it:
pre-commit run --all-files --show-diff-on-failure

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__version__ = "Unknown version"
"""
The __init__ for the flexmeasures-weather FlexMeasures plugin.
FlexMeasures registers the BluePrint objects it finds in here.
"""
from importlib.metadata import version, PackageNotFoundError
from flask import Blueprint
from .utils.blueprinting import ensure_bp_routes_are_loaded_fresh
# Overwriting version (if possible) from the package metadata
# ― if this plugin has been installed as a package.
# This uses importlib.metadata behaviour added in Python 3.8.
# Note that we rely on git tags (via setuptools_scm) to define that version.
try:
__version__ = version("flexmeasures_weather")
except PackageNotFoundError:
# package is not installed
pass
DEFAULT_FILE_PATH_LOCATION = "weather-forecasts"
DEFAULT_DATA_SOURCE_NAME = "Weather"
DEFAULT_WEATHER_STATION_NAME = "weather station (created by FM-Weather)"
WEATHER_STATION_TYPE_NAME = "weather station"
DEFAULT_MAXIMAL_DEGREE_LOCATION_DISTANCE = 1
__version__ = "0.1"
__settings__ = {
"WEATHER_FILE_PATH_LOCATION": dict(
description="Location of JSON files (if you store weather data in this form). Absolute path.",
level="debug",
),
"WEATHER_DATA_SOURCE_NAME": dict(
description=f"Name of the data source for Weather data, defaults to '{DEFAULT_DATA_SOURCE_NAME}'",
level="debug",
),
"WEATHER_STATION_NAME": dict(
description=f"Name of the weather station asset, defaults to '{DEFAULT_WEATHER_STATION_NAME}'",
level="debug",
),
"WEATHER_MAXIMAL_DEGREE_LOCATION_DISTANCE": dict(
descripion=f"Maximum distance (in degrees latitude & longitude) for weather stations from forecast location, defaults to {DEFAULT_MAXIMAL_DEGREE_LOCATION_DISTANCE}",
level="debug",
),
"WEATHER_PROVIDER": dict(
description="Provider for weather data. Permissible options are 'OWM' (OpenWeatherMap) or 'WAPI' (WeatherAPI).",
level="error",
),
"WEATHERAPI_KEY": dict(
description="API key for OWM or WAPI, whatever you have chosen.",
level="error",
),
}
# CLI
flexmeasures_weather_bp: Blueprint = Blueprint(
"flexmeasures-weather CLI", __name__, cli_group="weather"
)
flexmeasures_weather_bp.cli.help = "flexmeasures-weather CLI commands"
ensure_bp_routes_are_loaded_fresh("cli.commands")
from flexmeasures_weather.cli import commands # noqa: E402,F401

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from flask import current_app
from flask.cli import with_appcontext
import click
from flexmeasures.data.models.time_series import Sensor
from flexmeasures.data.transactional import task_with_status_report
from flexmeasures.data.config import db
from .. import flexmeasures_weather_bp
from .schemas.weather_sensor import WeatherSensorSchema
from ..utils.modeling import (
get_or_create_weather_station,
get_weather_station_by_asset_id,
)
from ..utils.locating import get_locations, get_location_by_asset_id
from ..utils.filing import make_file_path
from ..utils.weather import (
save_forecasts_in_db,
save_forecasts_as_json,
get_supported_sensor_spec,
)
from ..sensor_specs import mapping
"""
TODO: allow to also pass an asset ID or name for the weather station (instead of location) to both commands?
See https://github.com/FlexMeasures/flexmeasures-weather
"""
supported_sensors_list = ", ".join(
[str(sensor_specs["fm_sensor_name"]) for sensor_specs in mapping]
)
@flexmeasures_weather_bp.cli.command("register-weather-sensor")
@with_appcontext
@click.option(
"--name",
required=True,
help=f"Name of the sensor. Has to be from the supported list ({supported_sensors_list})",
)
@click.option(
"--asset-id",
required=False,
type=int,
help="The asset id of the weather station (you can also give its location).",
)
@click.option(
"--latitude",
required=False,
type=float,
help="Latitude of where you want to measure.",
)
@click.option(
"--longitude",
required=False,
type=float,
help="Longitude of where you want to measure.",
)
@click.option(
"--timezone",
default="UTC",
help="The timezone of the sensor data as string, e.g. 'UTC' (default) or 'Europe/Amsterdam'",
)
def add_weather_sensor(**args):
"""
Add a weather sensor.
This will first create a weather station asset if none exists at the location yet.
"""
errors = WeatherSensorSchema().validate(args)
if errors:
click.echo(
f"[FLEXMEASURES-WEATHER] Please correct the following errors:\n{errors}.\n Use the --help flag to learn more."
)
raise click.Abort
if args["asset_id"] is not None:
weather_station = get_weather_station_by_asset_id(args["asset_id"])
elif args["latitude"] is not None and args["longitude"] is not None:
weather_station = get_or_create_weather_station(
args["latitude"], args["longitude"]
)
else:
raise Exception(
"Arguments are missing to register a weather sensor. Provide either '--asset-id' or ('--latitude' and '--longitude')."
)
sensor = Sensor.query.filter(
Sensor.name == args["name"].lower(),
Sensor.generic_asset == weather_station,
).one_or_none()
if sensor:
click.echo(
f"[FLEXMEASURES-WEATHER] A '{args['name']}' weather sensor already exists at this weather station (the station's ID is {weather_station.id})."
)
return
fm_sensor_specs = get_supported_sensor_spec(args["name"])
fm_sensor_specs["generic_asset"] = weather_station
fm_sensor_specs["timezone"] = args["timezone"]
fm_sensor_specs["name"] = fm_sensor_specs.pop("fm_sensor_name")
fm_sensor_specs.pop("OWM_sensor_name")
fm_sensor_specs.pop("WAPI_sensor_name")
sensor = Sensor(**fm_sensor_specs)
sensor.attributes = fm_sensor_specs["attributes"]
db.session.add(sensor)
db.session.commit()
click.echo(
f"[FLEXMEASURES-WEATHER] Successfully created weather sensor with ID {sensor.id}, at weather station with ID {weather_station.id}"
)
click.echo(
f"[FLEXMEASURES-WEATHER] You can access this sensor at its entity address {sensor.entity_address}"
)
@flexmeasures_weather_bp.cli.command("get-weather-forecasts")
@with_appcontext
@click.option(
"--location",
type=str,
required=False,
help='Measurement location(s). "latitude,longitude" or "top-left-latitude,top-left-longitude:'
'bottom-right-latitude,bottom-right-longitude." The first format defines one location to measure.'
" The second format defines a region of interest with several (>=4) locations"
' (see also the "method" and "num_cells" parameters for details on how to use this feature).',
)
@click.option(
"--asset-id",
type=int,
required=False,
help="ID of a weather station asset - forecasts will be gotten for its location. If present, --location will be ignored.",
)
@click.option(
"--store-in-db/--store-as-json-files",
default=True,
help="Store forecasts in the database, or simply save as json files (defaults to database).",
)
@click.option(
"--num_cells",
type=int,
default=1,
help="Number of cells on the grid. Only used if a region of interest has been mapped in the location parameter. Defaults to 1.",
)
@click.option(
"--method",
default="hex",
type=click.Choice(["hex", "square"]),
help="Grid creation method. Only used if a region of interest has been mapped in the location parameter.",
)
@click.option(
"--region",
type=str,
default="",
help="Name of the region (will create sub-folder if you store json files).",
)
@task_with_status_report("get-weather-forecasts")
def collect_weather_data(location, asset_id, store_in_db, num_cells, method, region):
"""
Collect weather forecasts from the Weather Provider API.
This will be done for one or more locations, for which we first identify relevant weather stations.
This function can get weather data for one location or for several locations within
a geometrical grid (See the --location parameter).
"""
api_key = str(
current_app.config.get(
"WEATHERAPI_KEY", current_app.config.get("OPENWEATHERMAP_API_KEY", "")
)
)
if api_key == "":
raise Exception("[FLEXMEASURES-WEATHER] Setting WEATHERAPI_KEY not available.")
if asset_id is not None:
locations = [get_location_by_asset_id(asset_id)]
elif location is not None:
locations = get_locations(location, num_cells, method)
else:
raise Warning(
"[FLEXMEASURES-WEATHER] Pass either location or asset-id to get weather forecasts."
)
# Save the results
if store_in_db:
save_forecasts_in_db(api_key, locations)
else:
save_forecasts_as_json(
api_key, locations, data_path=make_file_path(current_app, region)
)

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from marshmallow import (
Schema,
validates,
ValidationError,
fields,
validate,
)
import pytz
from ...utils.weather import get_supported_sensor_spec, get_supported_sensors_str
class WeatherSensorSchema(Schema):
"""
Schema for the weather sensor registration.
Based on flexmeasures.Sensor, plus some attributes for the weather station asset.
"""
name = fields.Str(required=True)
timezone = fields.Str()
asset_id = fields.Int(required=False, allow_none=True)
latitude = fields.Float(
required=False, validate=validate.Range(min=-90, max=90), allow_none=True
)
longitude = fields.Float(
required=False, validate=validate.Range(min=-180, max=180), allow_none=True
)
@validates("name")
def validate_name_is_supported(self, name: str, **kwargs):
if get_supported_sensor_spec(name):
return
raise ValidationError(
f"Weather sensors with name '{name}' are not supported by flexmeasures-weather. For now, the following is supported: [{get_supported_sensors_str()}]"
)
@validates("timezone")
def validate_timezone(self, timezone: str, **kwargs):
try:
pytz.timezone(timezone)
except pytz.UnknownTimeZoneError:
raise ValidationError(f"Timezone {timezone} is unknown!")

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from flexmeasures.conftest import run_as_cli # noqa: F401

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import logging
import pytest
from flexmeasures.data.models.time_series import TimedBelief
from ..commands import collect_weather_data
from ...utils import weather
from .utils import mock_api_response
"""
Useful resource: https://flask.palletsprojects.com/en/2.0.x/testing/#testing-cli-commands
"""
def test_get_weather_forecasts_to_db(
app, fresh_db, monkeypatch, run_as_cli, add_weather_sensors_fresh_db
):
"""
Test if we can process forecast and save them to the database.
"""
wind_sensor = add_weather_sensors_fresh_db["wind"]
fresh_db.session.flush()
wind_sensor_id = wind_sensor.id
weather_station = wind_sensor.generic_asset
monkeypatch.setitem(app.config, "WEATHERAPI_KEY", "dummy")
monkeypatch.setitem(app.config, "WEATHER_PROVIDER", "OWM")
monkeypatch.setattr(weather, "call_api", mock_api_response)
runner = app.test_cli_runner()
result = runner.invoke(
collect_weather_data,
["--location", f"{weather_station.latitude},{weather_station.longitude}"],
)
print(result.output)
assert "Reported task get-weather-forecasts status as True" in result.output
beliefs = (
fresh_db.session.query(TimedBelief)
.filter(TimedBelief.sensor_id == wind_sensor_id)
.all()
)
assert len(beliefs) == 2
for wind_speed in (100, 90):
assert wind_speed in [belief.event_value for belief in beliefs]
def test_get_weather_forecasts_wapi_mapping(
app, fresh_db, monkeypatch, run_as_cli, add_weather_sensors_fresh_db
):
"""
Test that WeatherAPI provider-specific field names are mapped independently.
"""
wind_sensor = add_weather_sensors_fresh_db["wind"]
fresh_db.session.flush()
wind_sensor_id = wind_sensor.id
weather_station = wind_sensor.generic_asset
monkeypatch.setitem(app.config, "WEATHERAPI_KEY", "dummy")
monkeypatch.setitem(app.config, "WEATHER_PROVIDER", "WAPI")
monkeypatch.setattr(weather, "call_api", mock_api_response)
runner = app.test_cli_runner()
result = runner.invoke(
collect_weather_data,
["--location", f"{weather_station.latitude},{weather_station.longitude}"],
)
assert "Reported task get-weather-forecasts status as True" in result.output
beliefs = (
fresh_db.session.query(TimedBelief)
.filter(TimedBelief.sensor_id == wind_sensor_id)
.all()
)
assert len(beliefs) == 2
expected_values = [pytest.approx(100 / 3.6), pytest.approx(90 / 3.6)]
assert [belief.event_value for belief in beliefs] == expected_values
def test_get_weather_forecasts_no_close_sensors(
app, db, monkeypatch, run_as_cli, add_weather_sensors_fresh_db, caplog
):
"""
Looking for a location too far away from existing weather station.
Check we get a warning.
"""
weather_station = add_weather_sensors_fresh_db["wind"].generic_asset
monkeypatch.setitem(app.config, "WEATHERAPI_KEY", "dummy")
monkeypatch.setitem(app.config, "WEATHER_PROVIDER", "OWM")
monkeypatch.setattr(weather, "call_api", mock_api_response)
runner = app.test_cli_runner()
with caplog.at_level(logging.WARNING):
result = runner.invoke(
collect_weather_data,
[
"--location",
f"{weather_station.latitude - 5},{weather_station.longitude}",
],
)
print(result.output)
assert "Reported task get-weather-forecasts status as True" in result.output
assert "no sufficiently close weather sensor found" in caplog.text

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import pytest
from flexmeasures import Sensor
from ..commands import add_weather_sensor
from .utils import cli_params_from_dict
"""
Useful resource: https://flask.palletsprojects.com/en/2.0.x/testing/#testing-cli-commands
"""
sensor_params = {"name": "wind speed", "latitude": 30, "longitude": 40}
@pytest.mark.parametrize(
"invalid_param, invalid_value, expected_msg",
[
("name", "windd-speed", "not supported by flexmeasures-weather"),
("latitude", 93, "less than or equal to 90"),
("timezone", "Erope/Amsterdam", "is unknown"),
],
)
def test_register_weather_sensor_invalid_data(
app, db, invalid_param, invalid_value, expected_msg
):
test_sensor_params = sensor_params.copy()
test_sensor_params[invalid_param] = invalid_value
runner = app.test_cli_runner()
result = runner.invoke(add_weather_sensor, cli_params_from_dict(test_sensor_params))
assert "Aborted" in result.output
assert expected_msg in result.output
def test_register_weather_sensor(app, fresh_db):
runner = app.test_cli_runner()
result = runner.invoke(add_weather_sensor, cli_params_from_dict(sensor_params))
assert "Successfully created weather sensor with ID" in result.output
sensor = Sensor.query.filter(Sensor.name == sensor_params["name"]).one_or_none()
assert sensor is not None
def test_register_weather_sensor_twice(app, fresh_db):
runner = app.test_cli_runner()
result = runner.invoke(add_weather_sensor, cli_params_from_dict(sensor_params))
assert "Successfully created weather sensor with ID" in result.output
result = runner.invoke(add_weather_sensor, cli_params_from_dict(sensor_params))
assert "already exists" in result.output

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from typing import List
from datetime import datetime, timedelta
from flask import current_app
from flexmeasures.utils.time_utils import as_server_time, get_timezone
def cli_params_from_dict(d) -> List[str]:
cli_params = []
for k, v in d.items():
cli_params.append(f"--{k}")
cli_params.append(v)
return cli_params
def mock_api_response(api_key, location):
mock_date = datetime.now()
mock_date_tz_aware = as_server_time(
datetime.fromtimestamp(mock_date.timestamp(), tz=get_timezone())
).replace(second=0, microsecond=0)
provider = str(current_app.config.get("WEATHER_PROVIDER", ""))
date_key = "dt"
temp_key = "temp"
wind_speed_key = "wind_speed"
if provider == "WAPI":
date_key = "time_epoch"
temp_key = "temp_c"
wind_speed_key = "wind_kph"
return mock_date_tz_aware, [
{date_key: mock_date.timestamp(), temp_key: 40, wind_speed_key: 100},
{
date_key: (mock_date + timedelta(hours=1)).timestamp(),
temp_key: 42,
wind_speed_key: 90,
},
]

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from typing import Dict
from datetime import timedelta
import pytest
from flask_sqlalchemy import SQLAlchemy
from flexmeasures.app import create as create_flexmeasures_app
from flexmeasures.conftest import db, fresh_db # noqa: F401
from flexmeasures.data.models.generic_assets import GenericAsset, GenericAssetType
from flexmeasures.data.models.time_series import Sensor
from flexmeasures_weather import WEATHER_STATION_TYPE_NAME
@pytest.fixture(scope="session")
def app():
print("APP FIXTURE")
# Adding this plugin, making sure the name is known (as last part of plugin path)
test_app = create_flexmeasures_app(
env="testing", plugins=["../flexmeasures_weather"]
)
# Establish an application context before running the tests.
ctx = test_app.app_context()
ctx.push()
yield test_app
ctx.pop()
print("DONE WITH APP FIXTURE")
@pytest.fixture(scope="module")
def add_weather_sensors(db) -> Dict[str, Sensor]: # noqa: F811
return create_weather_sensors(db)
@pytest.fixture(scope="function")
def add_weather_sensors_fresh_db(fresh_db) -> Dict[str, Sensor]: # noqa: F811
return create_weather_sensors(fresh_db)
def create_weather_sensors(db: SQLAlchemy): # noqa: F811
"""Add a weather station asset with two weather sensors."""
weather_station_type = GenericAssetType(name=WEATHER_STATION_TYPE_NAME)
db.session.add(weather_station_type)
weather_station = GenericAsset(
name="Test weather station",
generic_asset_type=weather_station_type,
latitude=33.4843866,
longitude=126,
)
db.session.add(weather_station)
wind_sensor = Sensor(
name="wind speed",
generic_asset=weather_station,
event_resolution=timedelta(minutes=60),
unit="m/s",
)
db.session.add(wind_sensor)
temp_sensor = Sensor(
name="temperature",
generic_asset=weather_station,
event_resolution=timedelta(minutes=60),
unit="°C",
)
db.session.add(temp_sensor)
return {"wind": wind_sensor, "temperature": temp_sensor}

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from datetime import timedelta
"""
This maps sensor specs which we can use in FlexMeasures to Weather labels.
Note: Sensor names we use in FM need to be unique per weather station.
At the moment, we only extract from Weather hourly data.
"""
weather_attributes = {
"daily_seasonality": True,
"weekly_seasonality": False,
"yearly_seasonality": True,
}
mapping = [
dict(
fm_sensor_name="temperature",
OWM_sensor_name="temp",
WAPI_sensor_name="temp_c",
unit="°C",
event_resolution=timedelta(minutes=60),
attributes=weather_attributes,
),
dict(
fm_sensor_name="wind speed",
OWM_sensor_name="wind_speed",
WAPI_sensor_name="wind_kph",
unit="m/s",
event_resolution=timedelta(minutes=60),
attributes=weather_attributes,
),
dict(
fm_sensor_name="cloud cover",
OWM_sensor_name="clouds",
WAPI_sensor_name="cloud",
unit="%",
event_resolution=timedelta(minutes=60),
attributes=weather_attributes,
),
dict(
fm_sensor_name="irradiance", # in save_forecasts_to_db, we catch this name and do the actual computation to get to the irradiance
OWM_sensor_name="clouds",
WAPI_sensor_name="cloud",
unit="W/m²",
event_resolution=timedelta(minutes=60),
attributes=weather_attributes,
),
]

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import sys
import importlib
def ensure_bp_routes_are_loaded_fresh(module_name):
"""
Reload a module if it has been loaded before.
It's useful for situations in which some other process has read
the module before, but you need some action to happen which only
happens during module import ― decorators are a good example.
One use case is pytest, which reads all python code when it collects tests.
In our case, that happens before FlexMeasures' import mechanism
has had a chance to know which blueprints a plugin has.
Seemingly, the importing code (plugin's __init__) can be imported later
than the imported module (containing @route decorators).
Re-importing helps to get this order right when FlexMeasures reads the
plugin's __init__.
"""
m_name = "flexmeasures_weather." + module_name
if m_name in sys.modules:
importlib.reload(sys.modules[m_name])

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import os
import click
from flask import Flask, current_app
from flexmeasures_weather import DEFAULT_FILE_PATH_LOCATION
def make_file_path(app: Flask, region: str) -> str:
"""Ensure and return path for weather data"""
file_path = current_app.config.get(
"WEATHER_FILE_PATH_LOCATION", DEFAULT_FILE_PATH_LOCATION
)
data_path = os.path.join(app.root_path, file_path)
if not os.path.exists(data_path):
click.echo("[FLEXMEASURES-WEATHER] Creating %s ..." % data_path)
os.mkdir(data_path)
# optional: extend with subpath for region
if region is not None and region != "":
region_data_path = "%s/%s" % (data_path, region)
if not os.path.exists(region_data_path):
click.echo("[FLEXMEASURES-WEATHER] Creating %s ..." % region_data_path)
os.mkdir(region_data_path)
data_path = region_data_path
return data_path

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from __future__ import annotations
from typing import Tuple, List, Optional
import click
from flask import current_app
from flexmeasures.utils.grid_cells import LatLngGrid, get_cell_nums
from flexmeasures import Sensor
from flexmeasures.data.models.generic_assets import GenericAsset
from flexmeasures.utils import flexmeasures_inflection
from .. import WEATHER_STATION_TYPE_NAME
def get_locations(
location: str,
num_cells: int,
method: str,
) -> List[Tuple[float, float]]:
"""
Get locations for getting forecasts for, by parsing the location string, which possibly opens a latitude/longitude grid with several neatly ordered locations.
"""
if (
location.count(",") == 0
or location.count(",") != location.count(":") + 1
or location.count(":") == 1
and (
location.find(",") > location.find(":")
or location.find(",", location.find(",") + 1) < location.find(":")
)
):
raise Exception(
'[FLEXMEASURES-WEATHER] location parameter "%s" seems malformed. Please use "latitude,longitude" or '
' "top-left-latitude,top-left-longitude:bottom-right-latitude,bottom-right-longitude"'
% location
)
location_identifiers = tuple(location.split(":"))
if len(location_identifiers) == 1:
ll = location_identifiers[0].split(",")
locations = [(float(ll[0]), float(ll[1]))]
click.echo("[FLEXMEASURES-WEATHER] Only one location: %s,%s." % locations[0])
elif len(location_identifiers) == 2:
click.echo(
"[FLEXMEASURES-WEATHER] Making a grid of locations between top/left %s and bottom/right %s ..."
% location_identifiers
)
top_left = tuple(float(s) for s in location_identifiers[0].split(","))
if len(top_left) != 2:
raise Exception(
"[FLEXMEASURES-WEATHER] top-left parameter '%s' is invalid."
% location_identifiers[0]
)
bottom_right = tuple(float(s) for s in location_identifiers[1].split(","))
if len(bottom_right) != 2:
raise Exception(
"[FLEXMEASURES-WEATHER] bottom-right parameter '%s' is invalid."
% location_identifiers[1]
)
num_lat, num_lng = get_cell_nums(top_left, bottom_right, num_cells)
locations = LatLngGrid(
top_left=top_left,
bottom_right=bottom_right,
num_cells_lat=num_lat,
num_cells_lng=num_lng,
).get_locations(method)
else:
raise Exception(
"[FLEXMEASURES-WEATHER] location parameter '%s' has too many locations."
% location
)
return locations
def find_weather_sensor_by_location(
location: Tuple[float, float],
max_degree_difference_for_nearest_weather_sensor: int,
sensor_name: str,
) -> Sensor | None:
"""
Try to find a weather sensor of fitting type close by.
Return None if the nearest weather sensor is further away than some minimum degrees or if no sensor was found at all.
"""
weather_sensor: Optional[Sensor] = Sensor.find_closest(
generic_asset_type_name=WEATHER_STATION_TYPE_NAME,
sensor_name=sensor_name,
lat=location[0],
lng=location[1],
n=1,
)
if weather_sensor is None:
current_app.logger.warning(
"[FLEXMEASURES-WEATHER] No weather sensor set up yet for measuring %s. Try the register-weather-sensor CLI task."
% sensor_name
)
return None
weather_station: GenericAsset = weather_sensor.generic_asset
if abs(
location[0] - weather_station.location[0]
) > max_degree_difference_for_nearest_weather_sensor or abs(
location[1] - weather_station.location[1]
> max_degree_difference_for_nearest_weather_sensor
):
current_app.logger.warning(
f"[FLEXMEASURES-WEATHER] We found a weather station, but no sufficiently close weather sensor found (within {max_degree_difference_for_nearest_weather_sensor} {flexmeasures_inflection.pluralize('degree', max_degree_difference_for_nearest_weather_sensor)} distance) for measuring {sensor_name}! We're looking for: {location}, closest available: ({weather_station.location})"
)
return None
return weather_sensor
def get_location_by_asset_id(asset_id: int) -> Tuple[float, float]:
"""Get location for forecasting by passing an asset id"""
asset = GenericAsset.query.filter(GenericAsset.id == asset_id).one_or_none()
if asset.generic_asset_type.name != WEATHER_STATION_TYPE_NAME:
raise Exception(
f"Asset {asset} does not seem to be a weather station we should use ― we expect an asset with type '{WEATHER_STATION_TYPE_NAME}'."
)
if asset is None:
raise Exception(
"[FLEXMEASURES-WEATHER] No asset found for the given asset id %s."
% asset_id
)
return (asset.latitude, asset.longitude)

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from packaging import version
from flask import current_app
from flexmeasures.data.models.generic_assets import GenericAsset, GenericAssetType
from flexmeasures import Source, __version__ as flexmeasures_version
from flexmeasures.data import db
from flexmeasures.data.services.data_sources import get_or_create_source
from flexmeasures_weather import DEFAULT_DATA_SOURCE_NAME
from flexmeasures_weather import WEATHER_STATION_TYPE_NAME
from flexmeasures_weather import DEFAULT_WEATHER_STATION_NAME
if version.parse(flexmeasures_version) < version.parse("0.13"):
SOURCE_TYPE = "forecasting script"
else:
SOURCE_TYPE = "forecaster"
FM_SUPPORTS_ACCOUNT_LINKED_SOURCES = version.parse(
flexmeasures_version
) >= version.parse("0.32")
if FM_SUPPORTS_ACCOUNT_LINKED_SOURCES:
from flexmeasures import Account
else:
Account = None
def get_or_create_weather_account():
"""Make sure we have an account for the weather provider service."""
if Account is None:
raise RuntimeError(
"FlexMeasures Account model is unavailable before FlexMeasures 0.32."
)
account_name = current_app.config.get(
"WEATHER_DATA_SOURCE_NAME", DEFAULT_DATA_SOURCE_NAME
)
weather_account = Account.query.filter(
Account.name == account_name,
).one_or_none()
if weather_account is None:
weather_account = Account(name=account_name)
db.session.add(weather_account)
db.session.flush()
return weather_account
def get_or_create_owm_data_source() -> Source:
"""Make sure we have a weather provider data source of the configured type."""
source_kwargs = dict(
source=current_app.config.get(
"WEATHER_DATA_SOURCE_NAME", DEFAULT_DATA_SOURCE_NAME
),
source_type=SOURCE_TYPE,
flush=False,
)
if FM_SUPPORTS_ACCOUNT_LINKED_SOURCES:
source_kwargs["account"] = get_or_create_weather_account()
return get_or_create_source(**source_kwargs)
def get_or_create_owm_data_source_for_derived_data() -> Source:
owm_source_name = current_app.config.get(
"WEATHER_DATA_SOURCE_NAME", DEFAULT_DATA_SOURCE_NAME
)
source_kwargs = dict(
source=f"FlexMeasures {owm_source_name}",
source_type=SOURCE_TYPE,
flush=False,
)
if FM_SUPPORTS_ACCOUNT_LINKED_SOURCES:
source_kwargs["account"] = get_or_create_weather_account()
return get_or_create_source(**source_kwargs)
def get_or_create_weather_station_type() -> GenericAssetType:
"""Make sure a weather station type exists"""
weather_station_type = GenericAssetType.query.filter(
GenericAssetType.name == WEATHER_STATION_TYPE_NAME,
).one_or_none()
if weather_station_type is None:
weather_station_type = GenericAssetType(
name=WEATHER_STATION_TYPE_NAME,
description="A weather station with various sensors.",
)
db.session.add(weather_station_type)
return weather_station_type
def get_or_create_weather_station(latitude: float, longitude: float) -> GenericAsset:
"""Make sure a weather station exists at this location."""
station_name = current_app.config.get(
"WEATHER_STATION_NAME", DEFAULT_WEATHER_STATION_NAME
)
weather_station = GenericAsset.query.filter(
GenericAsset.latitude == latitude, GenericAsset.longitude == longitude
).one_or_none()
if weather_station is None:
weather_station_type = get_or_create_weather_station_type()
weather_station = GenericAsset(
name=station_name,
generic_asset_type=weather_station_type,
latitude=latitude,
longitude=longitude,
)
db.session.add(weather_station)
return weather_station
def get_weather_station_by_asset_id(asset_id: int) -> GenericAsset:
weather_station = GenericAsset.query.filter(
GenericAsset.generic_asset_type_id == asset_id
).one_or_none()
if weather_station is None:
raise Exception(
f"[FLEXMEASURES-WEATHER] Weather station is not present for the given asset id '{asset_id}'."
)
if weather_station.latitude is None or weather_station.longitude is None:
raise Exception(
f"[FLEXMEASURES-WEATHER] Weather station {weather_station} is missing location information [Latitude, Longitude]."
)
return weather_station

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from datetime import datetime
import pandas as pd
from pvlib.location import Location
def compute_irradiance(
latitude: float, longitude: float, dt: datetime, cloud_coverage: float
) -> float:
"""Compute the irradiance received on a location at a specific time.
This uses pvlib to
1) compute clear-sky irradiance as Global Horizontal Irradiance (GHI),
which includes both Direct Normal Irradiance (DNI)
and Diffuse Horizontal Irradiance (DHI).
2) adjust the GHI for cloud coverage
"""
site = Location(latitude, longitude, tz=dt.tzinfo)
solpos = site.get_solarposition(pd.DatetimeIndex([dt]))
ghi_clear = site.get_clearsky(pd.DatetimeIndex([dt]), solar_position=solpos).loc[
dt
]["ghi"]
return ghi_clear_to_ghi(ghi_clear, cloud_coverage)
def ghi_clear_to_ghi(ghi_clear: float, cloud_coverage: float) -> float:
"""Compute global horizontal irradiance (GHI) from clear-sky GHI, given a cloud coverage between 0 and 1.
References
----------
Perez, R., Moore, K., Wilcox, S., Renne, D., Zelenka, A., 2007.
Forecasting solar radiation preliminary evaluation of an
approach based upon the national forecast database. Solar Energy
81, 809812.
"""
if cloud_coverage < 0 or cloud_coverage > 1:
raise ValueError("cloud_coverage should lie in the interval [0, 1]")
return (1 - 0.87 * cloud_coverage**1.9) * ghi_clear

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from types import SimpleNamespace
import pytest
from flexmeasures import Asset
import flexmeasures_weather.utils.modeling as modeling
from flexmeasures_weather import DEFAULT_DATA_SOURCE_NAME, DEFAULT_WEATHER_STATION_NAME
from flexmeasures_weather.utils.modeling import (
FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
SOURCE_TYPE,
get_or_create_owm_data_source,
get_or_create_owm_data_source_for_derived_data,
get_or_create_weather_account,
get_or_create_weather_station,
)
def test_creating_two_weather_stations(fresh_db):
get_or_create_weather_station(50, 40)
get_or_create_weather_station(40, 50)
assert Asset.query.filter(Asset.name == DEFAULT_WEATHER_STATION_NAME).count() == 2
# The version-branch tests below still use monkeypatching to isolate source
# creation side effects without requiring multiple FlexMeasures installs.
@pytest.mark.skipif(
not FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Weather source accounts are only supported on FlexMeasures >= 0.32.",
)
def test_get_or_create_weather_account(fresh_db):
weather_account = get_or_create_weather_account()
assert weather_account.name == DEFAULT_DATA_SOURCE_NAME
assert (
modeling.Account.query.filter(
modeling.Account.name == weather_account.name
).count()
== 1
)
@pytest.mark.skipif(
not FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Account-linked weather sources are only supported on FlexMeasures >= 0.32.",
)
def test_get_or_create_owm_data_source_registers_weather_source_on_weather_account(
fresh_db,
):
data_source = get_or_create_owm_data_source()
assert data_source.type == SOURCE_TYPE
assert data_source.account is not None
assert data_source.account.name == data_source.name
@pytest.mark.skipif(
not FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Account-linked weather sources are only supported on FlexMeasures >= 0.32.",
)
def test_get_or_create_owm_data_source_for_derived_data_uses_weather_account(fresh_db):
derived_data_source = get_or_create_owm_data_source_for_derived_data()
assert derived_data_source.type == SOURCE_TYPE
assert derived_data_source.account is not None
assert derived_data_source.account.name == DEFAULT_DATA_SOURCE_NAME
@pytest.mark.skipif(
not FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Account-linked weather sources are only supported on FlexMeasures >= 0.32.",
)
def test_get_or_create_owm_data_source_passes_weather_account_when_supported(
fresh_db, monkeypatch
):
captured_kwargs = {}
def fake_get_or_create_source(source, source_type, account, flush):
captured_kwargs.update(
dict(
source=source,
source_type=source_type,
account=account,
flush=flush,
)
)
return SimpleNamespace(type=source_type, account=account)
monkeypatch.setattr(
"flexmeasures_weather.utils.modeling.get_or_create_source",
fake_get_or_create_source,
)
data_source = get_or_create_owm_data_source()
assert data_source.type == SOURCE_TYPE
assert captured_kwargs["account"].name == DEFAULT_DATA_SOURCE_NAME
@pytest.mark.skipif(
not FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Account-linked weather sources are only supported on FlexMeasures >= 0.32.",
)
def test_get_or_create_owm_derived_data_source_passes_weather_account_when_supported(
fresh_db, monkeypatch
):
captured_kwargs = {}
def fake_get_or_create_source(source, source_type, account, flush):
captured_kwargs.update(
dict(
source=source,
source_type=source_type,
account=account,
flush=flush,
)
)
return SimpleNamespace(type=source_type, account=account)
monkeypatch.setattr(
"flexmeasures_weather.utils.modeling.get_or_create_source",
fake_get_or_create_source,
)
data_source = get_or_create_owm_data_source_for_derived_data()
assert data_source.type == SOURCE_TYPE
assert captured_kwargs["account"].name == DEFAULT_DATA_SOURCE_NAME
@pytest.mark.skipif(
FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Legacy source creation without accounts is only used on FlexMeasures < 0.32.",
)
def test_get_or_create_owm_data_source_omits_account_when_not_supported(monkeypatch):
captured_kwargs = {}
def fake_get_or_create_source(source, source_type, flush):
captured_kwargs.update(
dict(
source=source,
source_type=source_type,
flush=flush,
)
)
return SimpleNamespace(type=source_type, name=source)
monkeypatch.setattr(
"flexmeasures_weather.utils.modeling.get_or_create_source",
fake_get_or_create_source,
)
data_source = get_or_create_owm_data_source()
assert data_source.type == SOURCE_TYPE
assert captured_kwargs == {
"source": DEFAULT_DATA_SOURCE_NAME,
"source_type": SOURCE_TYPE,
"flush": False,
}
@pytest.mark.skipif(
FM_SUPPORTS_ACCOUNT_LINKED_SOURCES,
reason="Legacy source creation without accounts is only used on FlexMeasures < 0.32.",
)
def test_get_or_create_owm_derived_data_source_omits_account_when_not_supported(
monkeypatch,
):
captured_kwargs = {}
def fake_get_or_create_source(source, source_type, flush):
captured_kwargs.update(
dict(
source=source,
source_type=source_type,
flush=flush,
)
)
return SimpleNamespace(type=source_type, name=source)
monkeypatch.setattr(
"flexmeasures_weather.utils.modeling.get_or_create_source",
fake_get_or_create_source,
)
data_source = get_or_create_owm_data_source_for_derived_data()
assert data_source.type == SOURCE_TYPE
assert captured_kwargs == {
"source": f"FlexMeasures {DEFAULT_DATA_SOURCE_NAME}",
"source_type": SOURCE_TYPE,
"flush": False,
}

View File

@@ -0,0 +1,357 @@
from __future__ import annotations
from typing import Tuple, List, Dict, Optional, Any
import os
from datetime import datetime, timedelta
import json
import click
from flask import current_app
import requests
from humanize import naturaldelta
from timely_beliefs import BeliefsDataFrame
from flexmeasures.utils.time_utils import as_server_time, get_timezone, server_now
from flexmeasures.data.models.time_series import Sensor, TimedBelief
from flexmeasures.data.utils import save_to_db
from flexmeasures_weather import DEFAULT_MAXIMAL_DEGREE_LOCATION_DISTANCE
from .locating import find_weather_sensor_by_location
from ..sensor_specs import mapping
from .modeling import (
get_or_create_owm_data_source,
get_or_create_owm_data_source_for_derived_data,
)
from .radiating import compute_irradiance
from zoneinfo import ZoneInfo
API_VERSION = "3.0"
def get_supported_sensor_spec(name: str) -> Optional[dict]:
"""
Find the specs from a sensor by name.
"""
for supported_sensor_spec in mapping:
if supported_sensor_spec["fm_sensor_name"] == name:
return supported_sensor_spec.copy()
return None
def get_supported_sensors_str() -> str:
"""A string - list of supported sensors, also revealing their unit"""
return ", ".join(
[
f"{sensor_specs['fm_sensor_name']} ({sensor_specs['unit']})"
for sensor_specs in mapping
]
)
def process_weatherapi_data(
data: List[Dict[str, Any]], hour_no: int
) -> List[Dict[str, Any]]:
"""
Processes raw WeatherAPI forecast data into a format similar to OpenWeatherMap's format.
Args:
data (List[Dict[str, Any]]): A list of forecast day dictionaries from WeatherAPI,
each containing an 'hour' key with 24 hourly entries.
hour_no (int): The index of the current hour to start from.
Returns:
List[Dict[str, Any]]: A list of 48 hourly forecast entries, each mapped to the
expected structure with fields like temperature, humidity, wind, and condition.
"""
first_day = data[0]["hour"]
second_day = data[1]["hour"]
third_day = data[2]["hour"]
combined = first_day + second_day + third_day
relevant = combined[hour_no : hour_no + 48]
return relevant
def call_openweatherapi(
api_key: str, location: Tuple[float, float]
) -> Tuple[datetime, List[Dict]]:
"""
Make a single "one-call" to the Open Weather API and return the API timestamp as well as the 48 hourly forecasts.
See https://openweathermap.org/api/one-call-3 for docs.
Note that the first forecast is about the current hour.
"""
check_openweathermap_version(API_VERSION)
query_str = f"lat={location[0]}&lon={location[1]}&units=metric&exclude=minutely,daily,alerts&appid={api_key}"
res = requests.get(
f"http://api.openweathermap.org/data/{API_VERSION}/onecall?{query_str}"
)
assert (
res.status_code == 200
), f"OpenWeatherMap returned status code {res.status_code}: {res.text}"
data = res.json()
time_of_api_call = as_server_time(
datetime.fromtimestamp(data["current"]["dt"], tz=get_timezone())
).replace(second=0, microsecond=0)
return time_of_api_call, data["hourly"]
def call_weatherapi(
api_key: str, location: Tuple[float, float], days: int = 3
) -> Tuple[datetime, List[Dict]]:
"""
Makes a request to the WeatherAPI to retrieve hourly weather forecast data.
Args:
api_key (str): API key for authenticating with the Weather API.
location (Tuple[float, float]): A tuple containing the latitude and longitude.
days (int, optional): Number of days to request the forecast for (default is 3, including current day).
Returns:
Tuple[datetime, List[Dict]]:
- The timestamp of the API call.
- A list of hourly forecast data as dictionaries. Note that the first forecast is about the current hour.
Raises:
AssertionError: If the response from the Weather API is not successful (HTTP status 200).
"""
latitude, longitude = location[0], location[1]
query_str = f"http://api.weatherapi.com/v1/forecast.json?key={api_key}&q={latitude},{longitude}&days={days}&aqi=yes&alerts=yes"
res = requests.get(query_str)
assert (
res.status_code == 200
), f"Weather API returned status code {res.status_code}: {res.text}"
data = res.json()
# get the time of the api call
time_of_call = int(data["location"]["localtime_epoch"])
local_timezone = ZoneInfo(data["location"]["tz_id"])
local_time = datetime.fromtimestamp(time_of_call, local_timezone)
time_of_api_call = as_server_time(local_time)
time_of_api_call = time_of_api_call.replace(second=0, microsecond=0)
print(f"Time of API call in WAPI is {time_of_api_call}")
relevant = data["forecast"]["forecastday"]
hour_no = local_time.hour
hourly = process_weatherapi_data(relevant, hour_no)
return time_of_api_call, hourly
def call_api(
api_key: str, location: Tuple[float, float]
) -> Tuple[datetime, List[Dict]]:
"""
Dispatches the weather API call based on the configured provider.
Args:
api_key (str): API key for the selected weather service provider.
location (Tuple[float, float]): Latitude and longitude tuple.
Returns:
Tuple[datetime, List[Dict]]:
- Timestamp of the API call.
- List of hourly forecast data.
Raises:
Exception: If an invalid weather provider is configured.
"""
provider = str(current_app.config.get("WEATHER_PROVIDER", "OWM"))
if provider not in ["OWM", "WAPI"]:
raise Exception(
"Invalid provider name. Please set WEATHER_PROVIDER setting in config file to either OWM or WAPI, the two permissible options."
)
if provider == "OWM":
click.secho("Calling Open Weather Map")
return call_openweatherapi(api_key, location)
else:
click.secho("Calling Weather API")
return call_weatherapi(api_key, location)
def save_forecasts_in_db( # noqa: C901
api_key: str,
locations: List[Tuple[float, float]],
):
"""Process the response from Weather Provider API into timed beliefs.
Collects all forecasts for all locations and all sensors at all locations, then bulk-saves them.
"""
click.echo("[FLEXMEASURES-WEATHER] Getting weather forecasts:")
click.echo("[FLEXMEASURES-WEATHER] Latitude, Longitude")
click.echo("[FLEXMEASURES-WEATHER] -----------------------")
max_degree_difference_for_nearest_weather_sensor = current_app.config.get(
"WEATHER_MAXIMAL_DEGREE_LOCATION_DISTANCE",
DEFAULT_MAXIMAL_DEGREE_LOCATION_DISTANCE,
)
provider = str(current_app.config.get("WEATHER_PROVIDER", ""))
if provider not in ["OWM", "WAPI"]:
raise Exception(
"Invalid provider name. Please set WEATHER_PROVIDER setting in config file to either OWM or WAPI, the two permissible options."
)
for location in locations:
click.echo("[FLEXMEASURES] %s, %s" % location)
weather_sensors: Dict[str, Sensor] = (
{}
) # keep track of the sensors to save lookups
db_forecasts: Dict[Sensor, List[TimedBelief]] = {} # collect beliefs per sensor
now = server_now()
time_of_api_call, forecasts = call_api(api_key, location)
diff_fm_owm = now - time_of_api_call
if abs(diff_fm_owm) > timedelta(minutes=10):
click.echo(
f"[FLEXMEASURES-WEATHER] Warning: difference between this server and Weather Provider is {naturaldelta(diff_fm_owm)}"
)
click.echo(
f"[FLEXMEASURES-WEATHER] Called weather provider {provider} API successfully at {now}."
)
# loop through forecasts, including the one of current hour (horizon 0)
for fc in forecasts:
time_key = fc["dt"] if provider == "OWM" else fc["time_epoch"]
fc_datetime = as_server_time(
datetime.fromtimestamp(time_key, get_timezone())
)
click.echo(
f"[FLEXMEASURES-WEATHER] Processing forecast for {fc_datetime} ..."
)
data_source = get_or_create_owm_data_source()
for sensor_specs in mapping:
sensor_name = str(sensor_specs["fm_sensor_name"])
provider_response_label = sensor_specs[f"{provider}_sensor_name"]
if provider_response_label in fc:
weather_sensor = get_weather_sensor(
sensor_specs,
location,
weather_sensors,
max_degree_difference_for_nearest_weather_sensor,
)
if weather_sensor is not None:
click.echo(
f"Found pre-configured weather sensor {weather_sensor.name} ..."
)
if weather_sensor not in db_forecasts.keys():
db_forecasts[weather_sensor] = []
fc_value = fc[provider_response_label]
if provider_response_label == "wind_kph":
# convert wind speed from kph to m/s
fc_value = fc[provider_response_label] / 3.6
# the irradiance is not available in Provider -> we compute it ourselves
if sensor_name == "irradiance":
fc_value = compute_irradiance(
location[0],
location[1],
fc_datetime,
# Provider sends cloud cover in percent, we need a ratio
fc_value / 100.0,
)
data_source = (
get_or_create_owm_data_source_for_derived_data()
)
db_forecasts[weather_sensor].append(
TimedBelief(
event_start=fc_datetime,
belief_time=now,
event_value=fc_value,
sensor=weather_sensor,
source=data_source,
)
)
else:
# we will not fail here, but issue a warning
msg = "No label '%s' in response data for time %s" % (
provider_response_label,
fc_datetime,
)
click.echo("[FLEXMEASURES-WEATHER] %s" % msg)
current_app.logger.warning(msg)
for sensor in db_forecasts.keys():
click.echo(f"[FLEXMEASURES-WEATHER] Saving {sensor.name} forecasts ...")
if len(db_forecasts[sensor]) == 0:
# This is probably a serious problem
raise Exception(
"Nothing to put in the database was produced. That does not seem right..."
)
status = save_to_db(BeliefsDataFrame(db_forecasts[sensor]))
if status == "success_but_nothing_new":
current_app.logger.info(
"[FLEXMEASURES-WEATHER] Done. These beliefs had already been saved before."
)
elif status == "success_with_unchanged_beliefs_skipped":
current_app.logger.info(
"[FLEXMEASURES-WEATHER] Done. Some beliefs had already been saved before."
)
def get_weather_sensor(
sensor_specs: dict,
location: Tuple[float, float],
weather_sensors: Dict[str, Sensor],
max_degree_difference_for_nearest_weather_sensor: int,
) -> Sensor | None:
"""Get the weather sensor for this own response label and location, if we haven't retrieved it already."""
sensor_name = str(sensor_specs["fm_sensor_name"])
if sensor_name in weather_sensors:
weather_sensor = weather_sensors[sensor_name]
else:
weather_sensor = find_weather_sensor_by_location(
location,
max_degree_difference_for_nearest_weather_sensor,
sensor_name=sensor_name,
)
weather_sensors[sensor_name] = weather_sensor
if (
weather_sensor is not None
and weather_sensor.event_resolution != sensor_specs["event_resolution"]
):
raise Exception(
f"[FLEXMEASURES-WEATHER] The weather sensor found for {sensor_name} has an unfitting event resolution (should be {sensor_specs['event_resolution']}, but is {weather_sensor.event_resolution}."
)
return weather_sensor
def save_forecasts_as_json(
api_key: str, locations: List[Tuple[float, float]], data_path: str
):
"""Get forecasts, then store each as a raw JSON file, for later processing."""
click.echo("[FLEXMEASURES-WEATHER] Getting weather forecasts:")
click.echo("[FLEXMEASURES-WEATHER] Latitude, Longitude")
click.echo("[FLEXMEASURES-WEATHER] ----------------------")
for location in locations:
click.echo("[FLEXMEASURES-WEATHER] %s, %s" % location)
now = server_now()
time_of_api_call, forecasts = call_api(api_key, location)
diff_fm_owm = now - time_of_api_call
if abs(diff_fm_owm) > timedelta(minutes=10):
click.echo(
f"[FLEXMEASURES-WEATHER] Warning: difference between this server and Weather Provider is {naturaldelta(diff_fm_owm)}"
)
now_str = now.strftime("%Y-%m-%dT%H-%M-%S")
path_to_files = os.path.join(data_path, now_str)
if not os.path.exists(path_to_files):
click.echo(f"[FLEXMEASURES-WEATHER] Making directory: {path_to_files} ...")
os.mkdir(path_to_files)
forecasts_file = "%s/forecast_lat_%s_lng_%s.json" % (
path_to_files,
str(location[0]),
str(location[1]),
)
with open(forecasts_file, "w") as outfile:
json.dump(forecasts, outfile)
def check_openweathermap_version(api_version: str):
supported_versions = ["2.5", "3.0"]
if api_version not in supported_versions:
current_app.logger.warning(
f"This plugin may not be fully compatible with OpenWeatherMap API version {api_version}. We tested with versions {supported_versions}"
)

View File

@@ -0,0 +1,21 @@
# Requirements
All requirements for flexmeasures-flexmeasures-weather are specified in this directory.
We separate by use case:
- app: All requirements for running the plugin
- test: Additional requirements used for running automated tests
- dev: Additional requirements used for developers (this includes testing)
Also note the following distinction:
## .in files
Here, we describe the requirements. We give the name of a requirement or even a range (e.g. `>=1.0.`).
## .txt files
These files are not to be edited by hand. They are created by `pip-compile` (or `make freeze-deps`).
Each requirement is pinned to a specific version in these files. The great benefit is reproducibility across environments (local dev as well as staging or production).

View File

@@ -0,0 +1,6 @@
flexmeasures
pvlib
# the following three are optional in pvlib, but we use them
netCDF4
siphon
tables

View File

@@ -0,0 +1,444 @@
#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --output-file=requirements/app.txt requirements/app.in
#
alembic==1.16.1
# via flask-migrate
altair==5.5.0
# via flexmeasures
argon2-cffi==23.1.0
# via flexmeasures
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via rq-dashboard
async-timeout==5.0.1
# via redis
attrs==25.3.0
# via
# jsonschema
# referencing
babel==2.17.0
# via py-moneyed
bcrypt==4.0.1
# via flexmeasures
beautifulsoup4==4.13.4
# via siphon
blinker==1.9.0
# via
# flask
# flask-mail
# flask-principal
# sentry-sdk
blosc2==3.3.4
# via tables
certifi==2025.4.26
# via
# netcdf4
# requests
# sentry-sdk
cffi==1.17.1
# via argon2-cffi-bindings
cftime==1.6.4.post1
# via netcdf4
charset-normalizer==3.4.2
# via requests
click==8.2.1
# via
# click-default-group
# flask
# flexmeasures
# rq
click-default-group==1.2.4
# via flexmeasures
contourpy==1.3.2
# via matplotlib
convertdate==2.4.0
# via workalendar
cycler==0.12.1
# via matplotlib
dill==0.4.0
# via openturns
dnspython==2.7.0
# via email-validator
email-validator==2.2.0
# via
# flask-security-too
# flexmeasures
filelock==3.18.0
# via tldextract
flask==3.1.1
# via
# flask-classful
# flask-cors
# flask-json
# flask-login
# flask-mail
# flask-marshmallow
# flask-migrate
# flask-principal
# flask-security-too
# flask-sqlalchemy
# flask-sslify
# flask-wtf
# flexmeasures
# rq-dashboard
# sentry-sdk
flask-classful==0.16.0
# via flexmeasures
flask-cors==6.0.0
# via flexmeasures
flask-json==0.4.0
# via flexmeasures
flask-login==0.6.3
# via
# flask-security-too
# flexmeasures
flask-mail==0.10.0
# via flexmeasures
flask-marshmallow==1.3.0
# via flexmeasures
flask-migrate==4.1.0
# via flexmeasures
flask-principal==0.4.0
# via flask-security-too
flask-security-too==5.6.2
# via flexmeasures
flask-sqlalchemy==3.1.1
# via
# flask-migrate
# flexmeasures
flask-sslify==0.1.5
# via flexmeasures
flask-wtf==1.2.2
# via
# flask-security-too
# flexmeasures
flexcache==0.3
# via pint
flexmeasures==0.25.0
# via -r requirements/app.in
flexparser==0.4
# via pint
fonttools==4.58.1
# via matplotlib
greenlet==3.2.2
# via sqlalchemy
h5py==3.13.0
# via pvlib
humanize==4.12.3
# via flexmeasures
idna==3.10
# via
# email-validator
# requests
# tldextract
importlib-metadata==8.7.0
# via
# flexmeasures
# timely-beliefs
importlib-resources==6.5.2
# via flask-security-too
inflect==6.0.2
# via flexmeasures
inflection==0.5.1
# via flexmeasures
iso8601==2.1.0
# via flexmeasures
isodate==0.7.2
# via
# flexmeasures
# timely-beliefs
itsdangerous==2.2.0
# via
# flask
# flask-wtf
jinja2==3.1.6
# via
# altair
# flask
joblib==1.4.2
# via
# scikit-learn
# sktime
jsonschema==4.24.0
# via altair
jsonschema-specifications==2025.4.1
# via jsonschema
kiwisolver==1.4.8
# via matplotlib
lunardate==0.2.2
# via workalendar
mako==1.3.10
# via alembic
markupsafe==3.0.2
# via
# flask
# flask-security-too
# jinja2
# mako
# sentry-sdk
# werkzeug
# wtforms
marshmallow==3.26.1
# via
# -r requirements/app.in
# flask-marshmallow
# flexmeasures
# marshmallow-polyfield
# marshmallow-sqlalchemy
# webargs
marshmallow-polyfield==5.11
# via flexmeasures
marshmallow-sqlalchemy==1.4.2
# via flexmeasures
matplotlib==3.10.3
# via timetomodel
msgpack==1.1.0
# via blosc2
narwhals==1.41.0
# via altair
ndindex==1.10.0
# via blosc2
netcdf4==1.7.2
# via -r requirements/app.in
numexpr==2.10.2
# via
# blosc2
# tables
numpy==1.26.4
# via
# blosc2
# cftime
# contourpy
# h5py
# matplotlib
# netcdf4
# numexpr
# pandas
# patsy
# properscoring
# pvlib
# scikit-learn
# scipy
# siphon
# sktime
# statsmodels
# tables
# timely-beliefs
# timetomodel
# uniplot
openturns==1.24
# via timely-beliefs
packaging==25.0
# via
# altair
# marshmallow
# matplotlib
# sktime
# statsmodels
# tables
# webargs
pandas==2.2.1
# via
# flexmeasures
# pvlib
# siphon
# sktime
# statsmodels
# timely-beliefs
# timetomodel
passlib==1.7.4
# via flask-security-too
patsy==1.0.1
# via statsmodels
pillow==11.2.1
# via
# flexmeasures
# matplotlib
pint==0.24.4
# via flexmeasures
platformdirs==4.3.8
# via
# blosc2
# pint
ply==3.11
# via pyomo
properscoring==0.1
# via timely-beliefs
protobuf==6.31.1
# via siphon
psutil==7.0.0
# via openturns
psycopg2-binary==2.9.10
# via
# flexmeasures
# timely-beliefs
pvlib==0.12.0
# via -r requirements/app.in
py-cpuinfo==9.0.0
# via
# blosc2
# tables
py-moneyed==3.0
# via flexmeasures
pycparser==2.22
# via cffi
pydantic==1.10.22
# via
# flexmeasures
# inflect
pyluach==2.2.0
# via workalendar
pymeeus==0.5.12
# via convertdate
pyomo==6.9.2
# via flexmeasures
pyparsing==3.2.3
# via matplotlib
python-dateutil==2.9.0.post0
# via
# arrow
# matplotlib
# pandas
# timetomodel
# workalendar
python-dotenv==1.1.0
# via flexmeasures
pytz==2025.2
# via
# flexmeasures
# pandas
# pvlib
# timely-beliefs
# timetomodel
pyyaml==6.0.2
# via flexmeasures
redis==6.2.0
# via
# flexmeasures
# redis-sentinel-url
# rq
# rq-dashboard
redis-sentinel-url==1.0.1
# via rq-dashboard
referencing==0.36.2
# via
# jsonschema
# jsonschema-specifications
requests==2.32.3
# via
# blosc2
# pvlib
# requests-file
# siphon
# tldextract
requests-file==2.1.0
# via tldextract
rpds-py==0.25.1
# via
# jsonschema
# referencing
rq==2.3.3
# via
# flexmeasures
# rq-dashboard
rq-dashboard==0.8.2.2
# via flexmeasures
scikit-base==0.12.3
# via sktime
scikit-learn==1.6.1
# via
# sktime
# timetomodel
scipy==1.15.3
# via
# properscoring
# pvlib
# scikit-learn
# sktime
# statsmodels
# timely-beliefs
# timetomodel
sentry-sdk[flask]==2.29.1
# via flexmeasures
siphon==0.10.0
# via -r requirements/app.in
six==1.17.0
# via python-dateutil
sktime==0.37.0
# via timely-beliefs
soupsieve==2.7
# via beautifulsoup4
sqlalchemy==2.0.41
# via
# alembic
# flask-sqlalchemy
# flexmeasures
# marshmallow-sqlalchemy
# timely-beliefs
# timetomodel
statsmodels==0.14.4
# via timetomodel
tables==3.10.1
# via -r requirements/app.in
tabulate==0.9.0
# via flexmeasures
threadpoolctl==3.6.0
# via scikit-learn
timely-beliefs[forecast]==3.2.0
# via flexmeasures
timetomodel==0.7.3
# via flexmeasures
tldextract==5.3.0
# via flexmeasures
tomli==2.2.1
# via alembic
types-python-dateutil==2.9.0.20250516
# via arrow
typing-extensions==4.13.2
# via
# alembic
# altair
# beautifulsoup4
# flexcache
# flexparser
# pint
# py-moneyed
# pydantic
# referencing
# sqlalchemy
# tables
tzdata==2025.2
# via pandas
uniplot==0.21.1
# via flexmeasures
urllib3==2.4.0
# via
# requests
# sentry-sdk
vl-convert-python==1.8.0
# via flexmeasures
webargs==8.7.0
# via flexmeasures
werkzeug==3.1.3
# via
# flask
# flask-cors
# flask-login
# flexmeasures
workalendar==17.0.0
# via flexmeasures
wtforms==3.2.1
# via
# flask-security-too
# flask-wtf
xlrd==2.0.1
# via flexmeasures
zipp==3.22.0
# via importlib-metadata
# The following packages are considered to be unsafe in a requirements file:
# setuptools

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-c app.txt
-c test.txt
pre-commit
black
flake8
flake8-blind-except
mypy
pytest-runner
setuptools_scm
watchdog

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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --output-file=requirements/dev.txt requirements/dev.in
#
black==25.1.0
# via -r requirements/dev.in
cfgv==3.4.0
# via pre-commit
click==8.2.1
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/test.txt
# black
distlib==0.3.9
# via virtualenv
filelock==3.18.0
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# virtualenv
flake8==7.2.0
# via -r requirements/dev.in
flake8-blind-except==0.2.1
# via -r requirements/dev.in
identify==2.6.12
# via pre-commit
mccabe==0.7.0
# via flake8
mypy==1.16.0
# via -r requirements/dev.in
mypy-extensions==1.1.0
# via
# black
# mypy
nodeenv==1.9.1
# via pre-commit
packaging==25.0
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/test.txt
# black
# setuptools-scm
pathspec==0.12.1
# via
# black
# mypy
platformdirs==4.3.8
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# black
# virtualenv
pre-commit==4.2.0
# via -r requirements/dev.in
pycodestyle==2.13.0
# via flake8
pyflakes==3.3.2
# via flake8
pytest-runner==6.0.1
# via -r requirements/dev.in
pyyaml==6.0.2
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# pre-commit
setuptools-scm==8.3.1
# via -r requirements/dev.in
tomli==2.2.1
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/test.txt
# black
# mypy
# setuptools-scm
typing-extensions==4.13.2
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/test.txt
# black
# mypy
virtualenv==20.31.2
# via pre-commit
watchdog==6.0.0
# via -r requirements/dev.in
# The following packages are considered to be unsafe in a requirements file:
# setuptools

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-c app.txt
pytest
pytest-flask
pytest-sugar
pytest-cov
# lets tests run successfully in containers
fakeredis
# required with fakeredis, maybe because we use rq
lupa

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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --output-file=requirements/test.txt requirements/test.in
#
async-timeout==5.0.1
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# redis
blinker==1.9.0
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# flask
click==8.2.1
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# flask
coverage[toml]==7.8.2
# via pytest-cov
exceptiongroup==1.3.0
# via pytest
fakeredis==2.29.0
# via -r requirements/test.in
flask==3.1.1
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# pytest-flask
iniconfig==2.1.0
# via pytest
itsdangerous==2.2.0
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# flask
jinja2==3.1.6
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# flask
lupa==2.4
# via -r requirements/test.in
markupsafe==3.0.2
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# flask
# jinja2
# werkzeug
packaging==25.0
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# pytest
# pytest-sugar
pluggy==1.6.0
# via pytest
pytest==8.3.5
# via
# -r requirements/test.in
# pytest-cov
# pytest-flask
# pytest-sugar
pytest-cov==6.1.1
# via -r requirements/test.in
pytest-flask==1.3.0
# via -r requirements/test.in
pytest-sugar==1.0.0
# via -r requirements/test.in
redis==6.2.0
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# fakeredis
sortedcontainers==2.4.0
# via fakeredis
termcolor==3.1.0
# via pytest-sugar
tomli==2.2.1
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# coverage
# pytest
typing-extensions==4.13.2
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# exceptiongroup
# fakeredis
werkzeug==3.1.3
# via
# -c /home/nicolas/workspace/seita/flexmeasures-weather/requirements/app.txt
# flask
# pytest-flask

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#!/bin/bash
set -e
pip install --upgrade mypy > 1.4
pip install types-pytz types-requests types-Flask types-click types-redis types-tzlocal types-python-dateutil types-setuptools
files=$(find flexmeasures_weather -name \*.py)
mypy --follow-imports skip --ignore-missing-imports $files

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CREATE EXTENSION IF NOT EXISTS cube;
CREATE EXTENSION IF NOT EXISTS earthdistance;

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#!/usr/bin/env python3
"""
Quick script to compare clear-sky irradiance computations
from three different libraries.
Among other considerations, this helped us to settle on pvlib.
"""
from typing import List, Dict
from datetime import datetime, timedelta
import solarpy
import pvlib
import pysolar
import matplotlib.dates as mpl_dates
import matplotlib.pyplot as plt
import pytz
from pandas import DatetimeIndex
from tzwhere import tzwhere
from astral import LocationInfo
from astral.sun import sun
DAY = datetime(2021, 2, 10, tzinfo=pytz.utc)
tzwhere = tzwhere.tzwhere()
locations = {
"Amsterdam": (52.370216, 4.895168),
"Tokyo": (35.6684415, 139.6007844),
"Dallas": (32.779167, -96.808891),
"Cape-Town": (-33.943707, 18.588740), # check southern hemisphere, too
}
datetimes = [DAY + timedelta(minutes=i * 20) for i in range(24 * 3)]
timezones = {k: tzwhere.tzNameAt(*v) for k, v in locations.items()}
def irradiance_by_solarpy(
latitude: float, longitude: float, dt: datetime, z: str, metric: str = "dni"
) -> float:
"""Supports direct horizontal irradiance and direct normal irradiance."""
h = 0 # sea-level
dt = dt.astimezone(pytz.timezone(z)).replace(tzinfo=None) # local time
dt = solarpy.standard2solar_time(dt, longitude) # solar time
if metric == "dhi": # direct horizontal irradiance
vnorm = [0, 0, -1] # plane pointing up
elif metric == "dni": # direct normal irradiance
vnorm = solarpy.solar_vector_ned(
dt, latitude
) # plane pointing directly to the sun
vnorm[-1] = vnorm[-1] * 0.99999 # avoid floating point error
else:
return NotImplemented
return solarpy.irradiance_on_plane(vnorm, h, dt, latitude)
def irradiance_by_pysolar(
latitude: float, longitude: float, dt: datetime, method: str = "dni"
) -> float:
"""Supports direct normal irradiance."""
altitude_deg = pysolar.solar.get_altitude(latitude, longitude, dt)
if method == "dni":
return pysolar.radiation.get_radiation_direct(dt, altitude_deg)
else:
return NotImplemented
def irradiance_by_pvlib(
latitude: float, longitude: float, dt: datetime, method: str = "dni"
) -> float:
"""
Supports direct horizontal irradiance, direct normal irradiance and global horizontal irradiance.
https://firstgreenconsulting.wordpress.com/2012/04/26/differentiate-between-the-dni-dhi-and-ghi/
"""
site = pvlib.location.Location(latitude, longitude, tz=pytz.utc)
solpos = site.get_solarposition(DatetimeIndex([dt]))
irradiance = site.get_clearsky(DatetimeIndex([dt]), solar_position=solpos).loc[dt]
if method in ("ghi", "dni", "dhi"):
return irradiance[method]
else:
return NotImplemented
def plot_irradiance(
city: str,
datetimes: List[datetime],
values: Dict[str, List[float]],
sun_times: Dict[str, datetime],
):
fig, ax = plt.subplots()
ax.set(
xlabel="Time (20m)",
ylabel="Direct Normal Irradiance (W/m²)",
title=f"Irradiance for {city} on {DAY.date()}",
)
# draw values
date_ticks = mpl_dates.date2num(datetimes)
for lib in ("pysolar", "solarpy", "pvlib"):
plt.plot_date(date_ticks, values[lib], "-", label=lib)
# make date ticks look okay
plt.gca().xaxis.set_major_locator(mpl_dates.HourLocator())
plt.setp(plt.gca().xaxis.get_majorticklabels(), "rotation", 40)
# draw day phases boxes
dawn_tick, sunrise_tick, noon_tick, sunset_tick, dusk_tick = mpl_dates.date2num(
(
sun_times["dawn"],
sun_times["sunrise"],
sun_times["noon"],
sun_times["sunset"],
sun_times["dusk"],
)
)
dawn_to_sunrise = plt.Rectangle(
(dawn_tick, -100),
sunrise_tick - dawn_tick,
1100,
fc="floralwhite",
ec="lemonchiffon",
label="Dawn to Sunrise",
)
plt.gca().add_patch(dawn_to_sunrise)
sunrise_to_sunset = plt.Rectangle(
(sunrise_tick, -100),
sunset_tick - sunrise_tick,
1100,
fc="lightyellow",
ec="lemonchiffon",
label="Sunrise to sunset",
)
plt.gca().add_patch(sunrise_to_sunset)
sunset_to_dusk = plt.Rectangle(
(sunset_tick, -100),
dusk_tick - sunset_tick,
1100,
fc="oldlace",
ec="lemonchiffon",
label="Sunset to dusk",
)
plt.gca().add_patch(sunset_to_dusk)
# draw noon
plt.axvline(x=noon_tick, color="gold", label="Noon")
plt.legend()
fig.savefig(f"test-irradiance-{city}.png")
plt.show()
if __name__ == "__main__":
for city in locations:
values = dict(pysolar=[], solarpy=[], pvlib=[])
lat, lon = locations[city]
timezone = timezones[city]
loc_info = LocationInfo(timezone=timezone, latitude=lat, longitude=lon)
# this gives 'dawn', 'sunrise', 'noon', 'sunset' and 'dusk'
sun_times = sun(loc_info.observer, date=DAY.date(), tzinfo=loc_info.timezone)
local_datetimes = [
dt.replace(tzinfo=pytz.timezone(timezones[city])) for dt in datetimes
]
for dt in local_datetimes:
irrad_pysolar = irradiance_by_pysolar(lat, lon, dt)
values["pysolar"].append(irrad_pysolar)
irrad_solarpy = irradiance_by_solarpy(lat, lon, dt, timezone)
values["solarpy"].append(irrad_solarpy)
irrad_pvlib = irradiance_by_pvlib(lat, lon, dt)
values["pvlib"].append(irrad_pvlib)
print(
f"For {city} at {dt} {timezones[city]} ― pysolar: {irrad_pysolar:.2f}, solarpy: {irrad_solarpy:.2f}, pvlib: {irrad_pvlib:.2f}"
)
plot_irradiance(city, local_datetimes, values, sun_times)

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@@ -0,0 +1,11 @@
[aliases]
test = pytest
flake8 = flake8
[flake8]
exclude = .git,__pycache__,documentation
max-line-length = 160
max-complexity = 13
select = B,C,E,F,W,B9
ignore = E501, W503, E203

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@@ -0,0 +1,47 @@
from setuptools import setup, find_packages
def load_requirements(use_case):
"""
Loading range requirements.
Packaging should be used for installing the package into existing stacks.
We therefore read the .in file for the use case.
.txt files include the exact pins, and are useful for deployments with
exactly comparable environments.
"""
reqs = []
with open("requirements/%s.in" % use_case, "r") as f:
reqs = [
req
for req in f.read().splitlines()
if not req.strip() == ""
and not req.strip().startswith("#")
and not req.strip().startswith("-c")
and not req.strip().startswith("--find-links")
]
return reqs
setup(
name="flexmeasures-weather",
description="Integrating FlexMeasures with multiple API services",
author="Seita Energy Flexibility BV",
author_email="nicolas@seita.nl",
url="https://github.com/FlexMeasures/flexmeasures-weather",
keywords=["flexmeasures", "energy flexibility"],
install_requires=load_requirements("app"),
tests_require=load_requirements("test"),
setup_requires=["pytest-runner", "setuptools_scm"],
use_scm_version={"local_scheme": "no-local-version"}, # handled by setuptools_scm
packages=find_packages(),
include_package_data=True, # setuptools_scm takes care of adding the files in SCM
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3.9",
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
],
long_description="""\
""",
)