A battery profile describes a battery model: the charge and discharge limit
maps over temperature and SoC, the charge and discharge efficiency curves
over C-rate, the technical SoC bounds, the hard temperature cutoffs and,
for a model, its nominal capacity and power limits. EOS packages the
generic profile generic-lfp; users add their own profiles.
A battery or electric vehicle selects its profile by battery_profile and
describes how the installation differs from it in profile_adjustment
(capacity, power limits of the installation, periodic full charge). The
effective values are resolved from both at the measured operating point
(temperature, SoC, power) and shown as effective_* fields.
The GENETIC simulation uses the limits and efficiencies of the profile over
SoC, with precomputed tables as a fast path; GENETIC0 gets the values at the
operating point. Optimization parameters are always valid: a battery whose
profile is missing, unreadable or invalid uses the packaged generic-lfp
profile, and the former defaults only if that is not usable either; each is
logged as error, and an optimization run is never cancelled because of a
battery.
Additional changes
- Add a generic device profile store: user and packaged profiles, atomic
saves, compiled profiles cached per file and checked again at most once a
second, plain file names as profile names ('schema' is reserved). On
Windows, a save or read that collides with the other is retried briefly.
- Add the REST API /v1/profile to list the profile kinds and to list, read
(document and JSON schema), save and delete profiles.
- Check the hard temperature cutoffs on the exact temperature.
- Resolve inhibited charging or discharging to a power of 0, e.g. for a cold
battery; give GENETIC0 its own discharge limit for that.
- Limit generic profiles without own power limits to the former 5000 W.
- Accept only the implemented units; current limits need the nominal
voltage.
- Migrate legacy battery settings into the profile adjustment, keep the
former charge power limit as discharge limit (also for a Home Assistant
entity on it) and report dropped efficiencies as errors.
- Limit GENETIC battery discharge by the discharge power.
- Allow battery profile lookups while the configuration is created.
- Resolve a battery once per configuration dump.
- Package the bundled profiles, document battery profiles and regenerate
the configuration and OpenAPI documentation.
- Ignore the report PDFs written by the visualization tests.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Assisted-by: Claude Code (claude-opus-5-5)
Additional changes
Agents write a task plan to .scratch/<branch>/plan.md and self-review with code-review
Agents fix hard violations, report judgement calls and rerun the self-review before every push
Agents declare the review in a Self-review section of the pull request body
Add the ai-self-review workflow and scripts/check_pr_self_review.py for pull requests into main
Detect agents by Assisted-by or Anthropic Co-Authored-By trailers, body markers or the AI box
Fail only on a missing Self-review section or a missing, malformed or stale Reviewed SHA
Note an unticked AI-assisted box and malformed optional lines without failing
Comment on the pull request how to fix a failure and update that one comment on later runs
Show the same report in the job summary and accept Windows line endings in the body
Skip dependabot and release pull requests
Run on pull_request_target with the base branch's script, never pull request code
Add the pull request template: the pr skill's sections plus Checklist and Self-review
Require always valid optimization parameters in the energy-domain skill
Require datetimeutil for date and time handling in new and changed code in AGENTS.md
Require the Assisted-by trailer on agent commits in the commit-messages skill
Add tests for the check in tests/test_ai.py
Add GLOSSARY.md and the agent tracker docs in docs/agents/
Add decision record docs/adr/0001 with an ADR index in the docs toctree
Document the workflow in docs/develop/ai.md and CONTRIBUTING.md
Exclude docs/agents from Sphinx and PyMarkdown and ignore .scratch/
Document cz check instead of make gitlint for commit messages in docs/develop/ai.md
Assisted-by: Claude Code (claude-opus-5-5)
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
test_configmigrate leaves a <fixture>.new working copy behind whenever a
migration test fails, test_visualize writes example_report.pdf into the current
directory, and test_config creates tests/testdata/docs/. All three showed up as
untracked noise in every status and invited accidental commits.
Co-authored-by: Andreas <drbacke@gmx.de>
* feat(ElecPriceEnergyCharts): Add new electricity price provider: Energy-Charts
* feat(ElecPriceEnergyCharts): update data only if needed
* test(elecpriceforecast): add test for energycharts
* docs(predictions.md): add ElecPriceEnergyCharts Provider
Signed-off-by: redmoon2711 <redmoon2711@gmx.de>
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>
* optimization states for AC, DC and IDLE now similar probab. Also AC states taken from config. Maybe a single config option for AC and E-Auto States is sensefull.
* test_class_optimize: Update testdata
* Write pdf and json to test/testdata/new.... so it can be analyzed
manually or just copied as new expected result.
* workflow: Upload pytest optimization result artifacts (pdf, json)
* 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>
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>