Prediction providers can now individually set the minimum historic prediction hours
to be kept in the data records. This setting supersedes any lower setting given by the
configuration `prediction_historic_hours`.
As a help for the future change of ElecPriceAkkudoktor, the minimum historic hours for
this provider is set to 5 * 7 * 24 hours.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Use documentation generation tools that are available for Windows and Linux.
Use python instead of shell scripts to generate documentation.
For ReadTheDocs make generated documentation content static to avoid
running scripts outside of the docs/ path which is the default path for ReadTheDOcs.
Add tests that check if generated content does go out of sync with latest source.
Use tabs to show commands for Windows and Linux to improve user experience.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Add documentation that covers:
- configuration
- prediction
Add Python scripts that support automatic documentation generation for
configuration data defined with pydantic.
Adapt EOS configuration to provide more methods for REST API and
automatic documentation generation.
Adapt REST API to allow for EOS configuration file load and save.
Sort REST API on generation of openapi markdown for docs.
Move logutil to core/logging to allow configuration of logging by standard config.
Make Akkudoktor predictions always start extraction of prediction data at start of day.
Previously extraction started at actual hour. This is to support the code that assumes
prediction data to start at start of day.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Add documentation that covers:
- Prediction
- Measuremnt
- REST API
Add Python scripts that support automatic documentation generation using the Sphinx
sphinxcontrib.eval extension.
Add automatic update/ test for REST API documentation.
Filter proxy endpoints from REST API documentation.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Detect active PV planes by pvforecast_surface_tilt and pvforecast_surface_azimuth to be non None. Assure by default these configuration values are None.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Normalize electricity price prediction to €/Wh.
Provide electricity price prediction by €/kWh for convenience.
Allow to configure electricity price charges by €/kWh.
Also added error page to fastapi rest server to get rid of annoying
unrelated fault messages during testing.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
The electricity price prediction provided prices in Eurocent/ kWh despite claiming
the price to be in €/ kWh. Also the addition of charges was not possible.
Now prices are provided in €/kWh. Charges can be configured by the `elecprice_charges`
configuration option.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
measurement:
- Add new measurement class to hold real world measurements.
- Handles load meter readings, grid import and export meter readings.
- Aggregates load meter readings aka. measurements to total load.
- Can import measurements from files, pandas datetime series,
pandas datetime dataframes, simple daetime arrays and
programmatically.
- Maybe expanded to other measurement values.
- Should be used for load prediction adaptions by real world
measurements.
core/coreabc:
- Add mixin class to access measurements
core/pydantic:
- Add pydantic models for pandas datetime series and dataframes.
- Add pydantic models for simple datetime array
core/dataabc:
- Provide DataImport mixin class for generic import handling.
Imports from JSON string and files. Imports from pandas datetime dataframes
and simple datetime arrays. Signature of import method changed to
allow import datetimes to be given programmatically and by data content.
- Use pydantic models for datetime series, dataframes, arrays
- Validate generic imports by pydantic models
- Provide new attributes min_datetime and max_datetime for DataSequence.
- Add parameter dropna to drop NAN/ None values when creating lists, pandas series
or numpy array from DataSequence.
config/config:
- Add common settings for the measurement module.
predictions/elecpriceakkudoktor:
- Use mean values of last 7 days to fill prediction values not provided by
akkudoktor.net (only provides 24 values).
prediction/loadabc:
- Extend the generic prediction keys by 'load_total_adjusted' for load predictions
that adjust the predicted total load by measured load values.
prediction/loadakkudoktor:
- Extend the Akkudoktor load prediction by load adjustment using measured load
values.
prediction/load_aggregator:
- Module removed. Load aggregation is now handled by the measurement module.
prediction/load_corrector:
- Module removed. Load correction (aka. adjustment of load prediction by
measured load energy) is handled by the LoadAkkudoktor prediction and
the generic 'load_mean_adjusted' prediction key.
prediction/load_forecast:
- Module removed. Functionality now completely handled by the LoadAkkudoktor
prediction.
utils/cacheutil:
- Use pydantic.
- Fix potential bug in ttl (time to live) duration handling.
utils/datetimeutil:
- Added missing handling of pendulum.DateTime and pendulum.Duration instances
as input. Handled before as datetime.datetime and datetime.timedelta.
utils/visualize:
- Move main to generate_example_report() for better testing support.
server/server:
- Added new configuration option server_fastapi_startup_server_fasthtml
to make startup of FastHTML server by FastAPI server conditional.
server/fastapi_server:
- Add APIs for measurements
- Improve APIs to provide or take pandas datetime series and
datetime dataframes controlled by pydantic model.
- Improve APIs to provide or take simple datetime data arrays
controlled by pydantic model.
- Move fastAPI server API to v1 for new APIs.
- Update pre v1 endpoints to use new prediction and measurement capabilities.
- Only start FastHTML server if 'server_fastapi_startup_server_fasthtml'
config option is set.
tests:
- Adapt import tests to changed import method signature
- Adapt server test to use the v1 API
- Extend the dataabc test to test for array generation from data
with several data interval scenarios.
- Extend the datetimeutil test to also test for correct handling
of to_datetime() providing now().
- Adapt LoadAkkudoktor test for new adjustment calculation.
- Adapt visualization test to use example report function instead of visualize.py
run as process.
- Removed test_load_aggregator. Functionality is now tested in test_measurement.
- Added tests for measurement module
docs:
- Remove sphinxcontrib-openapi as it prevents build of documentation.
"site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema
for t in schema["anyOf"]: KeyError: 'anyOf'"
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Extend single_test_optimization.py to be able to use real world data from new prediction classes.
- .venv/bin/python single_test_optimization.py --real_world --verbose
Can also be run with profiling "--profile".
Add single_test_prediction.py to fetch predictions from remote prediction providers
- .venv/bin/python single_test_prediction.py --verbose --provider-id PVForecastAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id LoadAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ElecPriceAkkudoktor | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id BrightSky | more
- .venv/bin/python single_test_prediction.py --verbose --provider-id ClearOutside | more
Can also be run with profiling "--profile".
single_test_optimization.py is an example on how to retrieve prediction data for optimization and
use it to set up the optimization parameters.
Changes:
- load: Only one load provider at a time (vs. 5 before)
Bug fixes:
- prediction: only use providers that are enabled to retrieve or set data.
- prediction: fix pre pendulum format strings
- dataabc: Prevent error when resampling data with no datasets.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Update utilities in utils submodule.
* Add base configuration modules.
* Add server base configuration modules.
* Add devices base configuration modules.
* Add optimization base configuration modules.
* Add utils base configuration modules.
* Add prediction abstract and base classes plus tests.
* Add PV forecast to prediction submodule.
The PV forecast modules are adapted from the class_pvforecast module and
replace it.
* Add weather forecast to prediction submodule.
The modules provide classes and methods to retrieve, manage, and process weather forecast data
from various sources. Includes are structured representations of weather data and utilities
for fetching forecasts for specific locations and time ranges.
BrightSky and ClearOutside are currently supported.
* Add electricity price forecast to prediction submodule.
* Adapt fastapi server to base config and add fasthtml server.
* Add ems to core submodule.
* Adapt genetic to config.
* Adapt visualize to config.
* Adapt common test fixtures to config.
* Add load forecast to prediction submodule.
* Add core abstract and base classes.
* Adapt single test optimization to config.
* Adapt devices to config.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Report data are floats.
The report is used for unit testing which may be affected by the float precision of the test environment.
Round to make the test result more robust without loosing the general test case.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Add documentation to class_pv_forecast.py.
Added documentation. Beware mostly generated by ChatGPT.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Add CacheFileStore, datetime and logger utilities.
The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing
temporary file objects, allowing the creation, retrieval, and management of cache files.
The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle
different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection
(`to_timezone).
- Cache files are automatically valid for the the current date unless specified otherwise.
This is to mimic the current behaviour used in several classes.
- The logger supports rotating log files to prevent excessive log file size.
- The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats.
They provide the time conversion that is e.g. used in PVForecast.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Improve testability of PVForecast
Improvements for testing of PVForecast
- Use common utility functions to allow for general testing at one spot.
- to_datetime
- CacheFileStore
- Use logging instead of print to easily capture in testing.
- Add validation of the json schema for Akkudoktor PV forecast data.
- Allow to create an empty PVForecast instance as base instance for testing.
- Make process_data() complete for filling a PVForecast instance for testing.
- Normalize forecast datetime to timezone of system given in loaded data.
- Do not print report but provide report for test checks.
- Get rid of cache file path using the CachFileStore to automate cache file usage.
- Improved module documentation.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Add test for PVForecast and newly extracted utility modules.
- Add test for PVForecast
- Add test for CacheFileStore in the new cachefilestore module
- Add test for to_datetime, to_timestamp, to_timezone in the new
datetimeutil module
- Add test for get_logger in the new logutil module
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---------
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Normann <github@koldrack.com>
* Add package API documentation generation
Add generation of the API documentation for akkudoktoreos
and akkudoktoreosserver packages.
The API documentation is generated by the Sphinx autosummary extension.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Enable Google style source commenting and documentation generation.
Enable automatic documentation generation from Google style docstrings in the source.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Check Google style source commenting.
Check Google style commenting by the appropriate ruff rules.
Commenting is _NOT_ enforced. Missing docstrings are ignored.
Minor commenting quirks of the code base are adapted.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Improve Markdown handling and switch to Markdown documentation.
Switch to Markdown for the documentation files to improve the user and developer experience (see issue #181).
Keep files with special directives for automatic API documentation in RST format. The
directives expect RST.
Also add dummy handling for openai/ swagger server documentation. The openai interface definition is
for now taken from the fastapi PR as EOS will switch to fastAPI.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---------
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Normann <github@koldrack.com>
Add documentation infrastructure and some sample content.
Documentation is generated by sphinx using extensions to support
Markdown an restructuredText for simple documentation writing.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Startup of the test server is detected by a scan on the server logging output to stdout.
Startup is now detected on the late log output.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Due to .gitignore directive files in data/ were ignored. Thus data was not moved to correct location by pr #122.
Add load_profiles.npz and remove gitignore directive.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
A test fixture to start the server and a first test case is added.
The fixture tries to assure that the server is installed and running.
If it is not installed the fixture uses pip to install it.
The server and the installation by pip is run bei the same Python
executable that also runs pytest.
The github workflow for pytest is adapted to install akkudoktor-eos.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Move static data to server package directory.
Assure data/*.npz data is included in the server package.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Bobby NoelteandGitHub
