This fix implements the long term goal to have the EOS server run optimization (or
energy management) on regular intervals automatically. Thus clients can request
the current energy management plan at any time and it is updated on regular
intervals without interaction by the client.
This fix started out to "only" make automatic optimization (or energy management)
runs working. It turned out there are several endpoints that in some way
update predictions or run the optimization. To lock against such concurrent attempts
the code had to be refactored to allow control of execution. During refactoring it
became clear that some classes and files are named without a proper reference
to their usage. Thus not only refactoring but also renaming became necessary.
The names are still not the best, but I hope they are more intuitive.
The fix includes several bug fixes that are not directly related to the automatic optimization
but are necessary to keep EOS running properly to do the automatic optimization and
to test and document the changes.
This is a breaking change as the configuration structure changed once again and
the server API was also enhanced and streamlined. The server API that is used by
Andreas and Jörg in their videos has not changed.
* fix: automatic optimization
Allow optimization to automatically run on configured intervals gathering all
optimization parameters from configuration and predictions. The automatic run
can be configured to only run prediction updates skipping the optimization.
Extend documentaion to also cover automatic optimization. Lock automatic runs
against runs initiated by the /optimize or other endpoints. Provide new
endpoints to retrieve the energy management plan and the genetic solution
of the latest automatic optimization run. Offload energy management to thread
pool executor to keep the app more responsive during the CPU heavy optimization
run.
* fix: EOS servers recognize environment variables on startup
Force initialisation of EOS configuration on server startup to assure
all sources of EOS configuration are properly set up and read. Adapt
server tests and configuration tests to also test for environment
variable configuration.
* fix: Remove 0.0.0.0 to localhost translation under Windows
EOS imposed a 0.0.0.0 to localhost translation under Windows for
convenience. This caused some trouble in user configurations. Now, as the
default IP address configuration is 127.0.0.1, the user is responsible
for to set up the correct Windows compliant IP address.
* fix: allow names for hosts additional to IP addresses
* fix: access pydantic model fields by class
Access by instance is deprecated.
* fix: down sampling key_to_array
* fix: make cache clear endpoint clear all cache files
Make /v1/admin/cache/clear clear all cache files. Before it only cleared
expired cache files by default. Add new endpoint /v1/admin/clear-expired
to only clear expired cache files.
* fix: timezonefinder returns Europe/Paris instead of Europe/Berlin
timezonefinder 8.10 got more inaccurate for timezones in europe as there is
a common timezone. Use new package tzfpy instead which is still returning
Europe/Berlin if you are in Germany. tzfpy also claims to be faster than
timezonefinder.
* fix: provider settings configuration
Provider configuration used to be a union holding the settings for several
providers. Pydantic union handling does not always find the correct type
for a provider setting. This led to exceptions in specific configurations.
Now provider settings are explicit comfiguration items for each possible
provider. This is a breaking change as the configuration structure was
changed.
* fix: ClearOutside weather prediction irradiance calculation
Pvlib needs a pandas time index. Convert time index.
* fix: test config file priority
Do not use config_eos fixture as this fixture already creates a config file.
* fix: optimization sample request documentation
Provide all data in documentation of optimization sample request.
* fix: gitlint blocking pip dependency resolution
Replace gitlint by commitizen. Gitlint is not actively maintained anymore.
Gitlint dependencies blocked pip from dependency resolution.
* fix: sync pre-commit config to actual dependency requirements
.pre-commit-config.yaml was out of sync, also requirements-dev.txt.
* fix: missing babel in requirements.txt
Add babel to requirements.txt
* feat: setup default device configuration for automatic optimization
In case the parameters for automatic optimization are not fully defined a
default configuration is setup to allow the automatic energy management
run. The default configuration may help the user to correctly define
the device configuration.
* feat: allow configuration of genetic algorithm parameters
The genetic algorithm parameters for number of individuals, number of
generations, the seed and penalty function parameters are now avaliable
as configuration options.
* feat: allow configuration of home appliance time windows
The time windows a home appliance is allowed to run are now configurable
by the configuration (for /v1 API) and also by the home appliance parameters
(for the classic /optimize API). If there is no such configuration the
time window defaults to optimization hours, which was the standard before
the change. Documentation on how to configure time windows is added.
* feat: standardize mesaurement keys for battery/ ev SoC measurements
The standardized measurement keys to report battery SoC to the device
simulations can now be retrieved from the device configuration as a
read-only config option.
* feat: feed in tariff prediction
Add feed in tarif predictions needed for automatic optimization. The feed in
tariff can be retrieved as fixed feed in tarif or can be imported. Also add
tests for the different feed in tariff providers. Extend documentation to
cover the feed in tariff providers.
* feat: add energy management plan based on S2 standard instructions
EOS can generate an energy management plan as a list of simple instructions.
May be retrieved by the /v1/energy-management/plan endpoint. The instructions
loosely follow the S2 energy management standard.
* feat: make measurement keys configurable by EOS configuration.
The fixed measurement keys are replaced by configurable measurement keys.
* feat: make pendulum DateTime, Date, Duration types usable for pydantic models
Use pydantic_extra_types.pendulum_dt to get pydantic pendulum types. Types are
added to the datetimeutil utility. Remove custom made pendulum adaptations
from EOS pydantic module. Make EOS modules use the pydantic pendulum types
managed by the datetimeutil module instead of the core pendulum types.
* feat: Add Time, TimeWindow, TimeWindowSequence and to_time to datetimeutil.
The time windows are are added to support home appliance time window
configuration. All time classes are also pydantic models. Time is the base
class for time definition derived from pendulum.Time.
* feat: Extend DataRecord by configurable field like data.
Configurable field like data was added to support the configuration of
measurement records.
* feat: Add additional information to health information
Version information is added to the health endpoints of eos and eosDash.
The start time of the last optimization and the latest run time of the energy
management is added to the EOS health information.
* feat: add pydantic merge model tests
* feat: add plan tab to EOSdash
The plan tab displays the current energy management instructions.
* feat: add predictions tab to EOSdash
The predictions tab displays the current predictions.
* feat: add cache management to EOSdash admin tab
The admin tab is extended by a section for cache management. It allows to
clear the cache.
* feat: add about tab to EOSdash
The about tab resembles the former hello tab and provides extra information.
* feat: Adapt changelog and prepare for release management
Release management using commitizen is added. The changelog file is adapted and
teh changelog and a description for release management is added in the
documentation.
* feat(doc): Improve install and devlopment documentation
Provide a more concise installation description in Readme.md and add extra
installation page and development page to documentation.
* chore: Use memory cache for interpolation instead of dict in inverter
Decorate calculate_self_consumption() with @cachemethod_until_update to cache
results in memory during an energy management/ optimization run. Replacement
of dict type caching in inverter is now possible because all optimization
runs are properly locked and the memory cache CacheUntilUpdateStore is properly
cleared at the start of any energy management/ optimization operation.
* chore: refactor genetic
Refactor the genetic algorithm modules for enhanced module structure and better
readability. Removed unnecessary and overcomplex devices singleton. Also
split devices configuration from genetic algorithm parameters to allow further
development independently from genetic algorithm parameter format. Move
charge rates configuration for electric vehicles from optimization to devices
configuration to allow to have different charge rates for different cars in
the future.
* chore: Rename memory cache to CacheEnergyManagementStore
The name better resembles the task of the cache to chache function and method
results for an energy management run. Also the decorator functions are renamed
accordingly: cachemethod_energy_management, cache_energy_management
* chore: use class properties for config/ems/prediction mixin classes
* chore: skip debug logs from mathplotlib
Mathplotlib is very noisy in debug mode.
* chore: automatically sync bokeh js to bokeh python package
bokeh was updated to 3.8.0, make JS CDN automatically follow the package version.
* chore: rename hello.py to about.py
Make hello.py the adapted EOSdash about page.
* chore: remove demo page from EOSdash
As no the plan and prediction pages are working without configuration, the demo
page is no longer necessary
* chore: split test_server.py for system test
Split test_server.py to create explicit test_system.py for system tests.
* chore: move doc utils to generate_config_md.py
The doc utils are only used in scripts/generate_config_md.py. Move it there to
attribute for strong cohesion.
* chore: improve pydantic merge model documentation
* chore: remove pendulum warning from readme
* chore: remove GitHub discussions from contributing documentation
Github discussions is to be replaced by Akkudoktor.net.
* chore(release): bump version to 0.1.0+dev for development
* build(deps): bump fastapi[standard] from 0.115.14 to 0.117.1
bump fastapi and make coverage version (for pytest-cov) explicit to avoid pip break.
* build(deps): bump uvicorn from 0.36.0 to 0.37.0
BREAKING CHANGE: EOS configuration changed. V1 API changed.
- The available_charge_rates_percent configuration is removed from optimization.
Use the new charge_rate configuration for the electric vehicle
- Optimization configuration parameter hours renamed to horizon_hours
- Device configuration now has to provide the number of devices and device
properties per device.
- Specific prediction provider configuration to be provided by explicit
configuration item (no union for all providers).
- Measurement keys to be provided as a list.
- New feed in tariff providers have to be configured.
- /v1/measurement/loadxxx endpoints are removed. Use generic mesaurement endpoints.
- /v1/admin/cache/clear now clears all cache files. Use
/v1/admin/cache/clear-expired to only clear all expired cache files.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Fix logging configuration issues that made logging stop operation. Switch to Loguru
logging (from Python logging). Enable console and file logging with different log levels.
Add logging documentation.
* Fix logging configuration and EOS configuration out of sync. Added tracking support
for nested value updates of Pydantic models. This used to update the logging configuration
when the EOS configurationm for logging is changed. Should keep logging config and EOS
config in sync as long as all changes to the EOS logging configuration are done by
set_nested_value(), which is the case for the REST API.
* Fix energy management task looping endlessly after the second update when trying to update
the last_update datetime.
* Fix get_nested_value() to correctly take values from the dicts in a Pydantic model instance.
* Fix usage of model classes instead of model instances in nested value access when evaluation
the value type that is associated to each key.
* Fix illegal json format in prediction documentation for PVForecastAkkudoktor provider.
* Fix documentation qirks and add EOS Connect to integrations.
* Support deprecated fields in configuration in documentation generation and EOSdash.
* Enhance EOSdash demo to show BrightSky humidity data (that is often missing)
* Update documentation reference to German EOS installation videos.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Lint commit messages using gitlint in pre-commit.
Gitlint enforces rules that are configured by .gitlint.
The checks enforce the [`Conventional Commits`](https://www.conventionalcommits.org)
commit message style.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Allow to configure planes and configuration values of planes separatedly.
Make single configuration values for planes explicitly available for configuration.
Still allows to also configure a plane by a whole plane value struct.
* Enhance admin page by file import and export of the EOS configuration
The actual EOS configuration can now be exported to the EOSdash server.
From there it can be also imported. For security reasons only import and export
from/ to a predefined directory on the EOSdash server is possible.
* Improve handling of nested value pathes in pydantic models.
Added separate methods for nested path access (get_nested_value, set_nested_value).
On value setting the missing fields along the nested path are now added automatically
and initialized with default values. Nested path access was before restricted to the
EOS configuration and is now part of the pydantic base model.
* Makefile
Add new target to run rests as CI does on Github. Improve target docs.
* Datetimeutil tests
Prolong acceptable time difference for comparison of approximately equal times in tests.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Make EOSdash use UI components from MonsterUI to ease further development.
- Add a first menu with some dummy pages and the configuration page.
- Make the configuration scrollable.
- Add markdown component that uses markdown-it-py (same as used by
the myth-parser for documentation generation).
- Add bokeh (https://docs.bokeh.org/) component for charts
- Added several prediction charts to demo
- Add a footer that displays connection status with EOS server
- Add logo and favicon
Update EOS server:
- Move error message generation to extra module
- Use redirect instead of proxy
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Revert to EOSdash startup as a sub-process.
Add arguments to control the complete startup of both servers.
Also development reload can now be given as an argument.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Rename FastAPI server to `eos` and FastHTML server to `eosdash`.
Make an user easily identify what server is meant. FastAPI and FastHTML are
implementation details that may confuse the non-technical user.
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:
- 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>
* Mypy: Initial support
* Add to pre-commit (currently installs own deps, could maybe changed
to poetry venv in the future to reuse environment and don't need
duplicated types deps).
* Add type hints.
* Mypy: Add missing annotations
* Update README/CONTRIBUTING Closes#180
* Remove duplicated files in docs/develop and copy them from project
root to there on documentation generation.
* Makefile: Use fastapi to start server, set port to 8503
* Migrate from Flask to FastAPI
* FastAPI migration:
- Use pydantic model classes as input parameters to the
data/calculation classes.
- Interface field names changed to constructor parameter names (for
simplicity only during transition, should be updated in a followup
PR).
- Add basic interface requirements (e.g. some values > 0, etc.).
* Update tests for new data format.
* Python requirement down to 3.9 (TypeGuard no longer needed)
* Makefile: Add helpful targets (e.g. development server with reload)
* Move API doc from README to pydantic model classes (swagger)
* Link to swagger.io with own openapi.yml.
* Commit openapi.json and check with pytest for changes so the
documentation is always up-to-date.
* Streamline docker
* FastAPI: Run startup action on dev server
* Fix config for /strompreis, endpoint still broken however.
* test_openapi: Compare against docs/.../openapi.json
* Move fastapi to server/ submodule
* See #187 for new repository structure.
* 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>
* Integrated single_test_optimization into pytest to run a basic optimization test with tolerance set to 1e-6, ensuring quick detection of deviations.
* Added a long-run test (400 generations, like single_test_optimization), which can be triggered using --full-run in pytest.
* Mocked PDF creation in optimization tests and added a new PDF generation test with image comparison validation.
Note: Current tolerance is set to 1e-6; feedback on whether this tolerance is tight enough is welcome.
---------
Co-authored-by: Normann <github@koldrack.com>
Co-authored-by: Michael Osthege <michael.osthege@outlook.com>
- Added recommended settings for the Pylance and Pyright extensions
- Enabled pytest and debugging support in configuration
- Reformatted code with Prettier
---------
Co-authored-by: Chris <git@nootch.de>
* Dockerfile: Use non-root user, buildx cache, setup for readonly
container, remove unused apt deps.
For now don't install pip package and keep development flask server
as this will be replaced in the future (fastapi). Then a proper
webserver (e.g. nginx) should be used and the pip package can be
created and deployed just to the run-stage (with the webserver).
* docker-compose: Set to readonly (anonymous volumes declared in
Dockerfile should maintain all writable data).
Mount config.py for easier development. Should be replaced by
environment support for all config file variables.
* Remove unused runtime dependencies: mariadb, joblib, pytest,
pytest-cov.
* Move pytest-cov to dev dependencies.
* Add output_dir to config.py.
* Fix visualization_results.pdf endpoint.
* Update docs.
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>
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>
