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Commits
| Author | SHA1 | Message | Date | |
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  Bobby NoelteandGitHub
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ba76087db9 |
feat: electricity fee provider framework and generic providers (#1235)
Add new provider class for electricity fees providers. Add the generic providers: - ElecFeeFixed - ElecFeeImport The providers provide predictions for: - elecfee_consumption_amt_wh: Total fixed fee for consumed energy per Wh [amount/Wh]. This is the accumulation of all fixed per-Wh fees payable on "consumed energy - such as network charge, concession fee, and electricity charge - into a single amount. - elecfee_consumption_percent_amt: Total fixed surcharge on consumed energy, given as a percentage of the monetary amount already charged for that energy [%]. This is the accumulation of all percentage-based surcharges payable on top of the consumed-energy fee - such as VAT - into a single percentage. This is a percentage of the fee amount, not a per-Wh rate. - elecfee_feedin_amt_wh: Total fixed deduction from feed-in energy per Wh [amount/Wh]. This is the accumulation of all fixed per-Wh charges deducted from feed-in energy - such as metering fees or grid-operator handling "charges - into a single amount. Applied after the percentage-based deduction, i.e. it reduces the price by a flat amount per Wh rather than by a share of the raw price. - elecfee_feedin_percent_amt: Total percentage deducted from the raw feed-in price (spot price) [%]. This is the accumulation of all percentage-based deductions payable on the feed-in tariff - such as a marketing or balancing fee retained by the aggregator - into a single percentage. It is applied as `raw_price * (100 - percent) / 100`, i.e. it scales down the raw price rather than adding a surcharge to it. A new _apply_fee() method is added to the base class for ElecPrice and FeedInTariff to be used to add the fees in a consistent way. Fees are taken from the active ElecFee provider and applied to the raw prices given to the _apply_fee() method. The optional application of fees is added to: - ElecPriceAkkudoktor - ElecPriceFixed - ElecPriceEnergyCharts - ElecPriceSMARD - FeedInTariffEnergyCharts - FeedInTariffFixed - FeedInTariffSMARD The import providers ElecPriceImport and FeedInTariffImport do not apply fees by intentention. The following providers currently do not handle fees defined by ElecFee: - ElecPriceTibber - FeedInTariffAkkudoktor - FeedInTariffDvhubOnline - FeedInTariffTibber The tests for this feature are either added or existing tests are extended. The documentation was extended for the electricity fee provider settings. Besides this feature further improvements are added: * feat: add SMARD quarter-hour electricty price and feed-in tariff provider * feat: to_series method for TimeWindows and ValueTimeWindows Additional to to_array the time window sequence can now also produce a pandas series. Test have been extended to cover the series generation. * feat: use time windows in fixed feedin tariff provider Feedin tariff can now be configured by time windows - not a single value. * feat: EOSdash select for PVLib inverters and modules Provide PVLib inverter and module names in config selection. * feat: EOSdash lazy select for big option sets Add a new form for lazy selection of big option sets. Filtering and generation of the option set is done server-side. * fix: use raw data for ETS/ median prediction Use to raw time series data for ETS/ median prediction to avoid interference by e.g. dynamic grid charges. * fix: EOSdash config drops by type only on details resolve Drop configuration by type and path. Prevents dropping of configuration items with same type and level but different path. * fix: EOSdash configuration section closes on update Open section if searching or if last update touched this category — including updates on deeply nested sub-fields. * chore: make elecfeefixed, elecpricefixed and feedintarifffixed warn about no windows and default to 0 Missining configuration creates default 0 value and a warning instead of an exception. * fix: test setup for providers Reset db state on each test run. * chore: improve config option naming for elecpricefixed. * chore: adapt elecpricefixed test to changed time_windows naming * chore: factorized common price provider helpers to priceabc.py Factorized common price provider helpers to priceabc.py. Add tests for these helpers. Reduce/ change testing of elecpriceabc.py and feedintariffabc.py to cover only specifics. Rest of testing is already covered by test_priceabc.py. * chore: update version Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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886c93c92b |
fix: default server settings prevent env var config (#1234)
Change configuration source priorities to: - cli - environment vars - dotenv settings - config file settings - init settings By this the environment vars supersede any configuration var provided by the configuration file or by the initialisation with pydantic. The test_config.py::test_computed_path was fixed to to not use the defaul env var overwrite defined by conftest.py. This seemed to indicate non working env vars, but in fact was a test setupt fault. Besides this fix there are other fixes and changes added: * fix: exclude computed fields when merging settings Pydantic may overwrite settings by values given for computed fields and use these values instead of re-computing the field. Avoid computed fields in merging settings. * chore: improve Windows compatability of development setup Improve scripts to better run also on Windows. When doing path checks keep compatibility also to Windows pathes. A lot of changes to avoid the famous Windows CRLF handling and keep line endings to LF. * chore: add development hint for Windows Windows developers should set core.autocrlf to false. * chore: update version Signed-off-by: b0661 <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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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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Bobby NoelteandGitHub
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1905682113 |
chore: adapt pdf visualization (#1205)
Change PDF visualization to be created on demand and per optimization algorithm. The PDF for the GENETIC0 optimization is provided by the /visualization_results.pdf endpoint. There is no change in the interface. By this the optimization algorithm is offloaded from the PDF generation which spares some time. To cope with several users may call the /visualization_results.pdf endpoint at the same time the PDF is generated on the fly without any intermediate file taking the stored GENETIC0 solution as an input. SVG picture generation is removed as this would again create intermediate files. Chart pictures can easily be taken from the PDF. To allow on demand creation of the optimization results visualization the optimisation solution stored is extended by several new attributes. To keep the deprecated /optimize endpoint compatible the optimization solution is stripped to the legacy content before returned. Due to the extension of the solution the optimization tests were adapted to cover the extended content. The optimization tests are adapted to test the generated visualization report by the pypdf reader. Pypdf is added to the development dependencies. Besides the adaptation several fixes and improvements are added: * feat: extend /v1/prediction/series endpoint by resampling and filling Add parameters for resampling and filling. Add the processing parameter to control wether raw data or resampled data shall be returned. * feat: extend /v1/measurement/series endpoint by resampling and filling Add parameters for resampling and filling: Add the processing parameter to control wether raw data or resampled data shall be returned. * feat: standardize and improve API error response Use FASTApi exception handlers to provide a standardized API exception handling. All exceptions are logged. Exception traces are only returned if the new logging configuration parameter logging.api_logging_level is set to "DEBUG" or "TRACE". Avoids unwanted leackage of server internals on exceptions. * fix: align to intervall when resampling Ensure resampling is aligned to interval also when the buckets are shifted due to the align_to_intervall parameter is set. * chore: make dropna mandatory and default to True * chore: refactor key_to_xxx data management methods Make key_to_series the central method for data resampling and fill. Add a new key_to_raw_series to retrieve the data as it is stored (without resampling and filling). Users of key_to_series were mostly moved to key_to_raw_series as this resembles the former interface. Especially in predictions and tests this was done. * chore: create test data sub-directory for each optimization algorithm To prevent cluttering the test data directory and ease test data management for optimization algorithms each algorithm got it's own sub-directory. The current test data was moved to these sub-directories. * chore: update version Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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52fe489d4e |
feat: add dvhubonline feed-in tariff provider (#1193)
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Fetches GET /api/prices?start&end&zone (15-min slots, EUR/MWh) and stores the raw market price as feed_in_tariff_wh (EUR/Wh) — no import charges/VAT. Slots beyond the day-ahead horizon are left to the consumer's forward-fill (FeedInTariffImport behaviour). 5 unit tests + opt-in live smoke (EOS_DVHUB_ONLINE_LIVE=1, passing). Signed-off-by: Christin <info@bikinibottom.capital> Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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e23bb7b497 |
chore: prepare for update of genetic algorithm (#1190)
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Andreas will update the genetic algorithm for 15-minutes optimization intervals. Copy the current GENETIC optimization algorithm to GENETIC0 to enable to keep the algorithm with the current functionality. Also copy resources like the load interpolator to the GENETIC0 algorithm to keep them despite possible later changes to the interpolator. Make the deprecated legacy /optimize endpoint use the GENETIC0 optimization algorithm to in-fact behave the same way even if there will later be changes to the GENETIC algorithm by Andreas. Add a new REST endpoint to provide the unprocessed optimisation results of the GENETIC and GENETIC0 algorithm in case one wants to use them as done with the deprecated /optimize endpoint. Adapt the optimization configuration to have distinct configurations for the GENETIC and the GENETIC0 algorithm. Create a copy of the current tests for the GENETIC algorithm to be used for the GENETIC0 algorithm. This avoids the tests for the GENETIC0 algorithm to be influenced by later changes by Andreas. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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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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Bobby NoelteandGitHub
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4c8a8e40f5 |
feat: add Akkudoktor feed-in provider (#1187)
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The `FeedInTariffAkkudoktor` provider uses raw day-ahead market prices from `https://api.akkudoktor.net/prices` as `feed_in_tariff_wh`. It does not add electricity import charges or VAT. Published prices are extended to the configured prediction horizon with the same seasonal ETS or median fallback used by the Akkudoktor electricity-price provider. The Akkudoktor endpoint currently forwards hourly market prices from aWATTar. With a 15-minute optimization interval, EOS holds each hourly price constant for its four quarter-hour slots. This keeps the slot grid consistent but does not create genuine quarter-hour market prices. Signed-off-by: Andreas Schmitz <akkudoktor.net> Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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ed61918fe0 |
feat: add EnergyCharts feed-in tariff provider (#1165)
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The `FeedInTariffEnergyCharts` provider uses the raw Energy-Charts day-ahead market price as the feed-in tariff. It stores prices in `feed_in_tariff_wh` without adding electricity import charges or VAT. The data is loaded from the Energy-Charts `/price` endpoint for the configured bidding zone. The native Energy-Charts resolution, including quarter-hour data, is retained. Energy-Charts usually supplies prices only for the published day-ahead period. If that data does not cover the complete configured prediction horizon, the provider extends it as follows: - With more than 800 hours of history, an ETS (Holt-Winters exponential smoothing) forecast with weekly seasonality is used. - With more than 168 hours of history, an ETS forecast with daily seasonality is used. - With less history, the median of the available values is used as a constant fallback. The seasonal periods are adjusted to the source resolution. For example, quarter-hour data uses four values per hour. Values already supplied by Energy-Charts are kept unchanged; only missing future slots after the last published price are forecast. Consequently, a 15-minute optimization uses four forecast values per hour without converting them to hourly averages. Signed-off-by: Andreas Schmitz <akkudoktor.net> Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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6093d8d348 |
chore: improve error msg on home assistant add-on port config (#1186)
When running as a Home Assistant add-on the ports shall not be changed as this would break config.yaml that is used by Home Assistant. Prevent the change and return an error message. Extra fixes: * fix: EOS configuration initialisation by cli under EOSdash. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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641873d867 |
fix: akkudoktor api requests (#1181)
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The akkudoktor api for PV forecast seems to be changed and does not support to concatenate several planes into one request anymore. Make a request for every plane and add up the power results. Do not use the new 15 minutes slots as the returned data does not include the hourly values for windspeed and temperature as does the hourly slots. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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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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Bobby NoelteandGitHub
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cc8193216a |
feat: add tibber electricity price provider (#1160)
Signed-off-by: Andreas Schmitz <akkudoktor.net> Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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2ed04d5573 |
fix: db compaction run (#1156)
These fixes were taken from https://github.com/arneman/EOS/tree/refactor/economic-objective. 1. Fix compaction job registration bug in eos.py: - compact_eos_database was registered with save_eos_database function - Now correctly calls compact_eos_database() - Root cause: compaction/vacuum never ran, allowing records to grow unbounded 2. Optimize db_iterate_records() from O(n) to O(log n): - Previous: linear scan from index 0 for every key_to_array() call - Now: uses bisect_left on _db_sorted_timestamps to skip to start position - Critical for large datasets: 9400 measurement records → 94s/call overhead → 5 calls/optimization 3. Reduce compaction_interval_sec default from 604800s (7 days) to 3600s (1 hour): - With 7-day interval: 65000 records accumulate before first cleanup - Bridge pushes ~1 record/9s (grid_export_emr) - Hourly compaction + 2h data window → stable ~950 records Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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6933b33542 |
feat: rename genetic optimization API fields to English (#675)
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Rename the German field names of the genetic optimization API to English with full backward compatibility: - English names are canonical and documented in the OpenAPI schema; the German names are still accepted on input via validation aliases and re-emitted in responses as deprecated computed fields - fix visualization receiving the raw German-keyed simulation dict (KeyError: load_wh_per_hour) - rename internal German identifiers (optimize_ems, total_balance, battery_residual_value, self_consumption, extra_data keys) - use amount instead of currency/euro in chart labels and schema descriptions; document currency handling (whole currency units, never cents) in the API description - regenerate openapi.json and generated docs Co-authored-by: Tobias Welz <tobias.wizneteu@gmail.com> |
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75548990e1 |
feat: add cloud PV forecast providers: pvnode.com, forecast-solar and solcast (#1150)
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This PR adds three native PV power forecast providers, giving operators more
cloud forecast sources to choose from via pvforecast.provider, alongside the
existing PVForecastAkkudoktor, PVForecastVrm and PVForecastImport:
PVForecastPVNode — native 15-minute forecasts from the pvnode.com
V2 API. Saved-site mode (GET /v2/forecast/{site_id}) where the operator enters their API key +
site id, or inline mode (POST /v2/forecast/inline) using the configured planes.
PVForecastForecastSolar — the free Forecast.Solar API (no key
required for the public endpoint). Multi-plane systems issue one request per plane and the
instantaneous powers are summed per timestamp.
PVForecastSolcast — the Solcast rooftop-site API (API key + resource id).
Implementation notes
All three populate the existing pvforecast_ac_power (and mirror pvforecast_dc_power)
prediction keys, so they slot into the optimizer unchanged.
Timezone handling: pvnode and Forecast.Solar return site-local wall-clock timestamps with an
IANA timezone field, which are resolved to absolute instants before resampling; Solcast returns
UTC period_end and is normalised to the period start.
Each provider follows the existing provider pattern (provider_id(), _request_forecast() with
@cache_in_file, _update_data()), is registered in pvforecast.py and prediction.py, and is
upstream-neutral.
Validation
27 unit tests (timezone resolution, null/zero handling, kW→W and period-start conversion,
azimuth conversion, multi-plane summation, request URL/auth, HTTP-error handling).
ruff check (F/D/S/bandit) and ruff format clean.
Each provider was additionally validated against its live API with a real plant, confirming
the response shapes (pvnode: 288 native 15-min slots; Forecast.Solar: instantaneous watts;
Solcast: kW estimates with period_end/PT30M).
Documentation
Provider descriptions and configuration examples added to docs/akkudoktoreos/prediction.md.
CHANGELOG.md entry under Unreleased.
Regenerated docs/_generated/configpvforecast.md and configexample.md.
Notes for reviewers
Forecast.Solar's free endpoint is rate-limited (12 req/hour) and Solcast's free tier limits daily
calls; both providers rely on the standard 1-hour cache_in_file TTL to stay within budget.
Authors:
The code is created by Christin. Only minor adaptions by Bobby.
Signed-off-by: Christin <info@bikinibottom.capital>
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Christin <info@bikinibottom.capital>
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Bobby NoelteandGitHub
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0306e7e4ed |
fix: prediction import with pydantic-typed bodies (#1152)
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Respect pydantic model in serializing json data for import. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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eb9e966de9 |
fix: move data management to async (#1015)
FAstAPI is an async framework. Data may be imported and exported, load and save, set and get asynchronously. Prevent interleaving data operations to corrupt the data. In the previous design sync and async data access was intermixed leading to data corruption. The basic data classes DataSequence and DataContainer and the derived classes like Provider and Measurement now are async. Data access is protected by several async locks. To support the async design of the data classes the database interface became async. The energy management is also adapted to the new async design. Optimization is still off-loaded to another thread, but the prepration for the optimization and the post optimization actions now follow the async design. Adapter operations are now also protected by async locks. Tests were adapted to the async design and new tests were created. Besides this major fix several other improvements and fixes are included in this PR. * fix: key_to_dict/list/array only regard data records with key value set. Before the exclusion of no value data records was only done if the dropna flag was set. * fix: test for visual result pdf generation Due to updates in the library the generated charts text was a little bit different. Adapt the test to create the comaprison pdf in the test data durectory and update the reference pdf. * chore: Remove MutableMapping from DataSequence and DataContainer. Mutable Mapping does not fit to the now async design. * chore: Add NoDB database backend This backend implements the full database backend interface but performs no actual persistence. It is intended for configurations where database persistence is disabled (`provider=None`). * chore: Improve measurement data import testing with real world scenarios. Added two new endpoints to support testing. * chore: Add mermaid to supported documentation tools * chore: Add documentation about async design * chore: Add documentation about generic data handling Covers the basics of measurement and prediction time series data handling. * chore: Add empty lines around markdown lists. * chore: sync pre-commit config to updated package versions Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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779395cef5 |
fix: genetic optimizer charge rates, SoC accuracy, and minor bugfixes (#949)
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* record battery SOC at the start of the interval for accurate display
* map battery charge rates to GeneticOptimizationParameters and update related logic
Instead of using the EV charge rates, the battery now has its own charge rate defined
in the GeneticOptimizationParameters to better separate those entities.
* separate raw gene values from SOC-clamped op factors
The genetic_*_factor columns in the OptimizationSolution dataframe now
always carry the raw gene values (optimizer intent), while the
battery1_*_op_mode / battery1_*_op_factor columns and FRBCInstruction
operation_mode_factor reflect SOC-clamped effective values that can
actually be executed given the battery's state of charge at each hour.
Adds GeneticSolution._soc_clamped_operation_factors():
- AC charge factor: proportionally scaled down when battery headroom
(max_soc - current_soc) is less than what the commanded factor
would store in one hour; zeroed when battery is full.
- DC charge factor: zeroed when battery is at or above max SOC.
- Discharge: blocked when SOC is at or below min SOC.
Both optimization_solution() and energy_management_plan() pass the
clamped values to _battery_operation_from_solution(), so the plan
instructions the HEMS receives reflect physically achievable targets.
* ensure max AC charge power is only used if defined
* update fixtures for PV suffix + SOC-clamp algorithm changes
* handle None case for home appliance start hour in simulation
if the hour is zero, the the home appliance wont start
* update handling of invalid charge indices in autocharge hours
Seems to be a bug, since all invalid indexes needs to be invalidated (also the first one)
* remove double code in simulation preparation and improve comments
* update version
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Christopher Nadler <christopher.nadler@gmail.com>
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Bobby NoelteandGitHub
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8a9aec6d57 |
feat: add openmeteo weather provider (#939)
Add OpenMeteo to the selectable weather prediction providers. Also add tests and documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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cf477d91a3 |
feat: add fixed electricity prediction with time window support (#930)
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Add a fixed electricity prediction that supports prices per time window.
The time windows may flexible be defined by day or date.
The prediction documentation is updated to also cover the ElecPriceFixed
provider.
The feature includes several changes that are not directly related to the
electricity price prediction implementation but are necessary to keep
EOS running properly and to test and document the changes.
* feat: add value time windows
Add time windows with an associated float value.
* feat: harden eos measurements endpoints error detection and reporting
Cover more errors that may be raised during endpoint access. Report the
errors including trace information to ease debugging.
* feat: extend server configuration to cover all arguments
Make the argument controlled options also available in server configuration.
* fix: eos config configuration by cli arguments
Move the command line argument handling to config eos so that it is
excuted whenever eos config is rebuild or reset.
* chore: extend measurement endpoint system test
* chore: refactor time windows
Move time windows to configabc as they are only used in configurations.
Also move all tests to test_configabc.
* chore: provide config update errors in eosdash with summarized error text
If there is an update error provide the error text as a summary. On click
provide the full error text.
* chore: force eosdash ip address and port in makefile dev run
Ensure eosdash ip address and port are correctly set for development runs.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
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Bobby NoelteandGitHub
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997e7646e9 |
fix: prevent exception when load prediction data is missing (#925)
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Validate solution prediction data before processing. If required prediction data is missing, the prediction is skipped instead of raising an exception. Introduce a new configuration file saving policy to improve loading robustness: - Exclude computed fields - Exclude fields set to their default values - Exclude fields with value None - Use field aliases - Recursively remove empty dictionaries and lists - Ensure general.version is always present and correctly set When loading older configuration files, computed fields are now stripped before migration. This further improves backward compatibility and loading robustness. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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 Christopher NadlerandGitHub
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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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Bobby NoelteandGitHub
|
6498c7dc32 |
Add database support for measurements and historic prediction data. (#848)
The database supports backend selection, compression, incremental data load, automatic data saving to storage, automatic vaccum and compaction. Make SQLite3 and LMDB database backends available. Update tests for new interface conventions regarding data sequences, data containers, data providers. This includes the measurements provider and the prediction providers. Add database documentation. The fix includes several bug fixes that are not directly related to the database implementation but are necessary to keep EOS running properly and to test and document the changes. * fix: config eos test setup Make the config_eos fixture generate a new instance of the config_eos singleton. Use correct env names to setup data folder path. * fix: startup with no config Make cache and measurements complain about missing data path configuration but do not bail out. * fix: soc data preparation and usage for genetic optimization. Search for soc measurments 48 hours around the optimization start time. Only clamp soc to maximum in battery device simulation. * fix: dashboard bailout on zero value solution display Do not use zero values to calculate the chart values adjustment for display. * fix: openapi generation script Make the script also replace data_folder_path and data_output_path to hide real (test) environment pathes. * feat: add make repeated task function make_repeated_task allows to wrap a function to be repeated cyclically. * chore: removed index based data sequence access Index based data sequence access does not make sense as the sequence can be backed by the database. The sequence is now purely time series data. * chore: refactor eos startup to avoid module import startup Avoid module import initialisation expecially of the EOS configuration. Config mutation, singleton initialization, logging setup, argparse parsing, background task definitions depending on config and environment-dependent behavior is now done at function startup. * chore: introduce retention manager A single long-running background task that owns the scheduling of all periodic server-maintenance jobs (cache cleanup, DB autosave, …) * chore: canonicalize timezone name for UTC Timezone names that are semantically identical to UTC are canonicalized to UTC. * chore: extend config file migration for default value handling Extend the config file migration handling values None or nonexisting values that will invoke a default value generation in the new config file. Also adapt test to handle this situation. * chore: extend datetime util test cases * chore: make version test check for untracked files Check for files that are not tracked by git. Version calculation will be wrong if these files will not be commited. * chore: bump pandas to 3.0.0 Pandas 3.0 now performs inference on the appropriate resolution (a.k.a. unit) for the output dtype which may become datetime64[us] (before it was ns). Also numeric dtype detection is now more strict which needs a different detection for numerics. * chore: bump pydantic-settings to 2.12.0 pydantic-settings 2.12.0 under pytest creates a different behaviour. The tests were adapted and a workaround was introduced. Also ConfigEOS was adapted to allow for fine grain initialization control to be able to switch off certain settings such as file settings during test. * chore: remove sci learn kit from dependencies The sci learn kit is not strictly necessary as long as we have scipy. * chore: add documentation mode guarding for sphinx autosummary Sphinx autosummary excecutes functions. Prevent exceptions in case of pure doc mode. * chore: adapt docker-build CI workflow to stricter GitHub handling Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
|
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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Bobby NoelteandGitHub
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3599088dce |
chore: eosdash improve plan display (#739)
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* chore: improve plan solution display Add genetic optimization results to general solution provided by EOSdash plan display. Add total results. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> * fix: genetic battery and home appliance device simulation Fix genetic solution to make ac_charge, dc_charge, discharge, ev_charge or home appliance start time reflect what the simulation was doing. Sometimes the simulation decided to charge less or to start the appliance at another time and this was not brought back to e.g. ac_charge. Make home appliance simulation activate time window for the next day if it can not be run today. Improve simulation speed. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> --------- Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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b01bb1c61c |
fix: load data for automatic optimization (#731)
Automatic optimization used to take the adjusted load data even if there were no measurements leading to 0 load values. Split LoadAkkudoktor into LoadAkkudoktor and LoadAkkudoktorAdjusted. This allows to select load data either purely from the load data database or load data additionally adjusted by load measurements. Some value names have been adapted to denote also the unit of a value. For better load bug squashing the optimization solution data availability was improved. For better data visbility prediction data can now be distinguished from solution data in the generic optimization solution. Some predictions that may be of interest to understand the solution were added. Documentation was updated to resemble the addition load prediction provider and the value name changes. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby Noelte
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c911378bee |
fix: ensure genetic common settings available
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Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
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b397b5d43e |
fix: automatic optimization (#596)
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>
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 redmoon2711andGitHub
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8c56410338 |
Add new electricity price provider: Energy-Charts #381 (#590)
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* 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> |
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Bobby NoelteandGitHub
|
3421b2303b |
ci(ruff): add bandit checks (#575)
Added bandit checks to continuous integration. Updated sources to pass bandit checks: - replaced asserts - added timeouts to requests - added checks for process command execution - changed to 127.0.0.1 as default IP address for EOS and EOSdash for security reasons Added a rudimentary check for outdated config files. BREAKING CHANGE: Default IP address for EOS and EOSdash changed to 127.0.0.1 Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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 rompicandGitHub
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e413543222 |
fix: pvforecast fails when there is only a single plane (#569)
* fix: pvforecast fails when there is only a single plane * fix: formatting * fix: formatting * fix: add type annotations * add testdata and validation test for single plane * fix: formatting |
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rompicandGitHub
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058356d1b8 | fix: delete empty inverter from testdata optimize_input_2.json (#568) | ||
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Bobby NoelteandGitHub
|
3ec36e0932 |
fix: azimuth setting of pvforecastakkudoktor provider (#567)
EOS now enforces the general azimuth definition as e.g. defined in ISO 19111: north=0, east=90, south=180, west=270. This is the convention that is and was in the EOS documentation. As the PV forecast of akkudoktor.net follows a different convention (north=+-180, east=-90, south=0, west=90) the values from EOS are now converted before the request is sent to akkudoktor.net. BREAKING CHANGE: Azimuth configurations that followed the PVForecastAkkudoktor convention (north=+-180, east=-90, south=0, west=90) must be converted to the general azimuth definition: north=0, east=90, south=180, west=270. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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 Dominique Lasserre
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00229c39e4 | visualize.py: Support variable remuneration Closes #451 (#459) | ||
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Bobby Noelte
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c8cad0f277 |
Fix BrightSky weather prediction
- Get weather data with fully specified end_date datetime argument to not miss data. - Make preciptable water records generation robust against missing temperature or humidity values. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Bobby NoelteandGitHub
|
80bfe4d0f0 |
Improve caching. (#431)
* Move the caching module to core. Add an in memory cache that for caching function and method results during an energy management run (optimization run). Two decorators are provided for methods and functions. * Improve the file cache store by load and save functions. Make EOS load the cache file store on startup and save it on shutdown. Add a cyclic task that cleans the cache file store from outdated cache files. * Improve startup of EOSdash by EOS Make EOS starting EOSdash adhere to path configuration given in EOS. The whole environment from EOS is now passed to EOSdash. Should also prevent test errors due to unwanted/ wrong config file creation. Both servers now provide a health endpoint that can be used to detect whether the server is running. This is also used for testing now. * Improve startup of EOS EOS now has got an energy management task that runs shortly after startup. It tries to execute energy management runs with predictions newly fetched or initialized from cached data on first run. * Improve shutdown of EOS EOS has now a shutdown task that shuts EOS down gracefully with some time delay to allow REST API requests for shutdwon or restart to be fully serviced. * Improve EMS Add energy management task for repeated energy management controlled by startup delay and interval configuration parameters. Translate EnergieManagementSystem to english EnergyManagement. * Add administration endpoints - endpoints to control caching from REST API. - endpoints to control server restart (will not work on Windows) and shutdown from REST API * Improve doc generation Use "\n" linenend convention also on Windows when generating doc files. Replace Windows specific 127.0.0.1 address by standard 0.0.0.0. * Improve test support (to be able to test caching) - Add system test option to pytest for running tests with "real" resources - Add new test fixture to start server for test class and test function - Make kill signal adapt to Windows/ Linux - Use consistently "\n" for lineends when writing text files in doc test - Fix test_logging under Windows - Fix conftest config_default_dirs test fixture under Windows From @Lasall * Improve Windows support - Use 127.0.0.1 as default config host (model defaults) and addionally redirect 0.0.0.0 to localhost on Windows (because default config file still has 0.0.0.0). - Update install/startup instructions as package installation is required atm. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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Dominique Lasserre
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3257dac92b | Rename settings variables (remove prefixes) | ||
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Dominique Lasserre
|
be26457563 |
Nested config, devices registry
* All config now nested.
- Use default config from model field default values. If providers
should be enabled by default, non-empty default config file could
be provided again.
- Environment variable support with EOS_ prefix and __ between levels,
e.g. EOS_SERVER__EOS_SERVER_PORT=8503 where all values are case
insensitive.
For more information see:
https://docs.pydantic.dev/latest/concepts/pydantic_settings/#parsing-environment-variable-values
- Use devices as registry for configured devices. DeviceBase as base
class with for now just initializion support (in the future expand
to operations during optimization).
- Strip down ConfigEOS to the only configuration instance. Reload
from file or reset to defaults is possible.
* Fix multi-initialization of derived SingletonMixin classes.
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 AndreasandGitHub
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10703bbc1b |
Battery SoC = 0 > set Discharge randomply to 0/1. For longer periods of storage (#366)
* Battery SoC = 0 > hard Discharge Setting Off |
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Dominique LasserreandGitHub
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9ad61f66b2 |
Cleanup: parameters: extra=forbid, optimize: battery, inverter optional (#361)
* Cleanup: parameters: extra=forbid, optimize: battery, inverter optional * Don't allow extra fields for parameters/REST-API (at least for now while changing API). * Allow both battery and inverter to be set optionally (atm optional battery not implemented, no API constraints). * inverter: Remove default max_power_wh * single_test_optimization: Add more cli-parameters * Workflow docker-build: Don't try to authenticate for PRs * Secrets are not available anyway for forks. |
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NormannandGitHub
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745086c2eb |
Visualisation footer with current date and time (#364)
* footer with date and version * ruff * replace toml module with build in * using re to extract the string * optimize re usage * use of use pendulum in Akkudoktor-EOS * create_line_chart_date function added * replace datetime with pendulum * align ax2 with ax1 and 0 first point * dynamic ticks * all charts with dates * style changes * mypy fixes * fix test * fixed current time |
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Bobby NoelteandGitHub
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34d8e88771 |
Rename FastAPI server to EOS. (#355)
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> |
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Bobby NoelteandGitHub
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214768795f |
Adapt documentation generation to be compliant to ReadTheDocs and Windows. (#341)
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> |
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Bobby NoelteandGitHub
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d4e31d556a |
Add Documentation 2 (#334)
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> |
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Bobby NoelteandGitHub
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1866055478 |
Add documentation. (#321)
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> |
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 AndreasandAndreas
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1b597d1e0f | Test update | ||
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Bobby NoelteandGitHub
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ed79cacf63 |
Fix PVForecast settings active plane detection. (#320)
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> |
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Bobby NoelteandGitHub
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c0ea13d0f4 |
Fix2 electricity price prediction. (#296)
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> |