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1abdd345c47b3db5b59b7989491ee1f43fd0fa49
10
Commits
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1abdd345c4 |
fix: unify mypy environments for local checks and CI (#1291)
The isolated pre-commit mypy hook previously omitted runtime type information that make mypy used, hiding errors involving dependencies such as Pydantic and Pendulum. Makefile, pre-commit and CI now run the same full-project typing policy in the development environment defined by uv.lock. - Use uv run --locked --exact --extra dev and the same mypy arguments for Makefile and the local hook. Check all of src and tests, including on configuration-only changes. - Pin Python 3.13 for local development and the pre-commit CI job, and install the locked pre-commit version in CI. - Disable incremental analysis because existing Pendulum cache state changes mypy 2.3.1 diagnostics. Document the policy, the performance tradeoff and the existing typing debt. - Add a regression test that exercises Makefile, the hook and the CI command in a temporary project, accepting valid dependency types and detecting deliberate Pydantic/Pendulum assignment errors. Resolve the newly detected mypy diagnostics. - Enable the numpydantic and Pydantic mypy plugins, retaining strict Pydantic constructor typing with init_typed = true. Validate raw/coercible payloads through model_validate. - Propagate concrete record, provider and time-window types through generic collections, factories and lookup methods. Preserve runtime field inspection and generated time-window documentation. - Align Pendulum annotations with actual factory/arithmetic results while retaining Pydantic validation adapters at runtime. Correct optional values, array boundaries, REST handlers and plotting interfaces. - Add pinned scipy-stubs and types-psutil, update uv.lock, and supply the plugins' dependencies. - Add runtime regression coverage for validated path defaults, normalized time-series metadata, generic field inspection, invalid timestamps and unsupported provider imports. Runtime and compatibility details: - Validate path defaults as Path objects while retaining raw string defaults needed by migration serialization with exclude_defaults. - Normalize feed-in tariff lists and default charge rates to NumPy arrays; reject missing timestamps/uninitialized values explicitly. Importing into a provider without import support returns HTTP 400. - Public JSON schemas and OpenAPI structure match main (excluding the generated version). Signed-off-by: dr-dimitry Signed-off-by: dr-dimitry Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: dr-dimitri <87113560+dr-dimitri@users.noreply.github.com> Co-authored-by: Normann <github@koldrack.com> |
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894790f577 |
feat: add pvlib pv forecast provider (#1214)
Add a PV forecast provider that calculates the forecast using a PVLib system model and weather forecast from the EOS weather forecast provider. Additional module and inverter models can be easily added as the database is build from PVLib and SAM databases and a bundled csv file. The module model and inververt model names are provided by new endpoints to be used in configuration. The provider is based on the fantastic work of EMHASS. See https://github.com/davidusb-geek/emhass/blob/master/src/emhass/forecast.py A short description of the provider is added to the documentation. Besides the new features there are the fixes and improvements: * feat: improve EOSdash config page * fix: kex_to_series for start_datetime Make key_to_series always start the series at start_datetime. * fix: default provider for GENETIC and GENETIC0 optimization To make the default less dependent on internet servers (with API changes and availability issues) the default for PVForecast is set to PVForecastPVLib and for ElecPrice to ElecPriceFixed. The default weather provider is changed to OpenMeteo. * fix: EOSdash display resampled prediction values Make EOSdash display resampled prediction values where resampling fits to the prediction value type. Use bar width that fits to 15 minutes value samples. * chore: add a UI hints system to EOSdash The UI hints system eases the definition of forms for configuration items. There are also forms for items in maps and lists. These forms allow to add and delete items to/ from maps and lists. The forms ensure that all required fields of newly added items are filled. * chore: Create an enum for valid optimization algorithms * chore. Make config also provide the available energy management modes. Used for configuration hints. * chore: Randomize default device id in configuration Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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7e5aa2f218 |
feat: add Tibber feed-in tariff provider (#1189)
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The `FeedInTariffTibber` provider requests `priceInfo` and `priceInfoRange` with `resolution: QUARTER_HOURLY` and preserves the native 15-minute timestamps. It uses Tibber's `energy` spot-price component without the `tax` part or EOS electricity-price charges. The end-customer `total` component is deliberately ignored. The provider deliberately rejects hourly API responses instead of silently repeating them. It reuses `elecprice.tibber.access_token` and `elecprice.tibber.home_id`, so no duplicate credentials are needed. Signed-off-by: Andreas Schmitz <akkudoktor.net> Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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3bb0e02aed |
fix: provider settings in top level field of configuration (#1161)
Configuration for some providers was given in the sub-field `provider_settings` combining the settings of several providers. Pydantic does not understand this very well and the configuration became cumbersome, especially in EOSdash. All provider settings from the `provider-settings` sub-field are now lifted to the top level field of the configuration. The changes are automatically migrated in the configuration. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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6f28022ed0 |
fix: optimization fail after restart (#1007)
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Fix documentation for the loadforecast_power_w key. Fix documentation to explain the usage of import file/ JSON string to primarily initialise prediction data. Fix code scanning alert no. 6: URL redirection from remote source Enable to automatically save the configuration to the configuration file by default, which is a widespread user expectation. Make the genetic parameters non optional for better pydantic compliance. Update: - bump pytest to 9.0.3 - bump pillow to 12.2.0 - bump platformdirs to 4.9.6 - bump typespyyaml to 6.0.12.20260408 - bump tzfpy to 1.2.0 - bump pydantic to 2.13.0 - bump types-requests to 2.33.0.20260408 Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> Co-authored-by: Normann <github@koldrack.com> |
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237af5289f |
fix: eosdash startup (#915)
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Adapt uvicorn log level to allowed levels. Ensure that EOSdash is started after EOS configuration is available. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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3ccc25d731 |
Adds inverter AC/DC efficiency and break-even penalty (#888)
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* feat: add inverter AC/DC efficiency and break-even penalty * test: update tests/test_geneticoptimize.py with new ac_charge_break_even parameter * docs: update documentation * chore: update version numbers in configuration files to v0.2.0.dev2602272006923535 |
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04420e66ab |
fix: Improve provider update error handling and add VRM provider settings validation (#887)
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* fix: improve error handling for provider updates Distinguishes failures of active providers from inactive ones. Propagates errors only for enabled providers, allowing execution to continue if a non-active provider fails, which avoids unnecessary interruptions and improves robustness. * fix: add provider settings validation for forecast requests Prevents potential runtime errors by checking if provider settings are configured before accessing forecast credentials. Raises a clear error when settings are missing to help with debugging misconfigurations. * refactor(load): move provider settings to top-level fields Transitions load provider settings from a nested "provider_settings" object with provider-specific keys to dedicated top-level fields.\n\nRemoves the legacy "provider_settings" mapping and updates migration logic to ensure backward compatibility with existing configurations. * docs: update version numbers and documantation --------- Co-authored-by: Normann <github@koldrack.com> |
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58d70e417b |
feat: add Home Assistant and NodeRED adapters (#764)
Adapters for Home Assistant and NodeRED integration are added. Akkudoktor-EOS can now be run as Home Assistant add-on and standalone. As Home Assistant add-on EOS uses ingress to fully integrate the EOSdash dashboard in Home Assistant. The fix includes several bug fixes that are not directly related to the adapter implementation but are necessary to keep EOS running properly and to test and document the changes. * fix: development version scheme The development versioning scheme is adaptet to fit to docker and home assistant expectations. The new scheme is x.y.z and x.y.z.dev<hash>. Hash is only digits as expected by home assistant. Development version is appended by .dev as expected by docker. * fix: use mean value in interval on resampling for array When downsampling data use the mean value of all values within the new sampling interval. * fix: default battery ev soc and appliance wh Make the genetic simulation return default values for the battery SoC, electric vehicle SoC and appliance load if these assets are not used. * fix: import json string Strip outer quotes from JSON strings on import to be compliant to json.loads() expectation. * fix: default interval definition for import data Default interval must be defined in lowercase human definition to be accepted by pendulum. * fix: clearoutside schema change * feat: add adapters for integrations Adapters for Home Assistant and NodeRED integration are added. Akkudoktor-EOS can now be run as Home Assistant add-on and standalone. As Home Assistant add-on EOS uses ingress to fully integrate the EOSdash dashboard in Home Assistant. * feat: allow eos to be started with root permissions and drop priviledges Home assistant starts all add-ons with root permissions. Eos now drops root permissions if an applicable user is defined by paramter --run_as_user. The docker image defines the user eos to be used. * feat: make eos supervise and monitor EOSdash Eos now not only starts EOSdash but also monitors EOSdash during runtime and restarts EOSdash on fault. EOSdash logging is captured by EOS and forwarded to the EOS log to provide better visibility. * feat: add duration to string conversion Make to_duration to also return the duration as string on request. * chore: Use info logging to report missing optimization parameters In parameter preparation for automatic optimization an error was logged for missing paramters. Log is now down using the info level. * chore: make EOSdash use the EOS data directory for file import/ export EOSdash use the EOS data directory for file import/ export by default. This allows to use the configuration import/ export function also within docker images. * chore: improve EOSdash config tab display Improve display of JSON code and add more forms for config value update. * chore: make docker image file system layout similar to home assistant Only use /data directory for persistent data. This is handled as a docker volume. The /data volume is mapped to ~/.local/share/net.akkudoktor.eos if using docker compose. * chore: add home assistant add-on development environment Add VSCode devcontainer and task definition for home assistant add-on development. * chore: improve documentation |
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7bf9dd723e |
chore: improve doc generation and test (#762)
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Improve documentation generation and add tests for documentation. Extend sphinx by todo directive. The configuration table is now split into several tables. The test is adapted accordingly. There is a new test that checks the docstrings to be compliant to the RST format as used by sphinx to create the documentation. We can not use Markdown in docstrings. The docstrings are adapted accordingly. An additional test checks that the documentation can be build with sphinx. This test takes very long is only enabled in full run (aka. ci) mode. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |