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8344974c16cc278c9fc75db9a8c14e40e8c5fbf7
148
Commits
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8344974c16 |
chore: adapt deprecated endpoints to 15-minutes predictions (#1195)
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Ensure the deprecated endpoints get /strompreis, post /gesamtlast, get /gesamtlast_simple,
get /pvforecast to work on 1-hour intervalls even if the prediction provides 15-minutes
intervall data. This keeps the interface compliant to the legacy functionality.
Besides this adaptations several other improvements and fixes are included in this PR.
* feat: extend data management method key_to array by resample_method
One can now define the resample method on how to aggregate the values in an interval
for resampling. Three methods are provided:
- "first": Use the first value in each interval.
- "mean": Compute the arithmetic mean of all samples in each interval.
- "interval_mean": Compute the time-weighted mean assuming each value remains valid
until the next timestamp (piecewise-constant signal).
* feat: extend the get /v1/prediction/dataframe endpoint with resampling parameters
Make all parameters for resampling available at the endpoint.
* feat: extend the get /v1/prediction/list endpoint with resampling parameters
Make all parameters for resampling available at the endpoint.
* feat: add new delete /v1/prediction/range endpoint
The endpoint allows to delete prediction values for a given time span.
* fix: adapt for PVForecastAkkudoktor server side cache handling
/api.akkudoktor/forecast does it's own caching on requests. Call it with slightly
randomized request values to avoid getting cached values in the case we need fresh
data. The requests are anyway rate limited to one request per hour on our side.
* chore: add core.types
This module centralizes reusable type definitions shared across multiple
packages. Defining common types here avoids duplication of complex type
annotations (such as Literal aliases), ensures consistent typing across the
code base, and helps prevent circular import dependencies between modules.
* chore: extend cache testing
* chore: add system test for deprecated /strompreis endpoint
* chore: add unit test module for server endpoints
Add a new test module to do unit tests on server endpoints. First test added
for deprecated get /strompreis endpoint.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
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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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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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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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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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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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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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c914bae667 |
fix: data management conversion to async (#1185)
Fix test warnings left over from data management conversion to async design. Mostly tagging async tests. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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8d72177671 |
feat: rename remaining German API fields and deprecate legacy endpoints (#1164)
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Complete the English API translation started in #675: - rename input fields pv_akku to pv_battery and eauto to ev, and the solution fields eautocharge_hours_float to ev_charge_hours_float and eauto_obj to ev_obj; the German names are still accepted on input via validation aliases and re-emitted in responses as deprecated computed fields, same pattern as #675 - mark the legacy endpoints /strompreis, /gesamtlast and /gesamtlast_simple as deprecated in the OpenAPI schema - use amount instead of a euro reference in the battery LCOS log message Co-authored-by: Tobias Welz <tobias.wizneteu@gmail.com> |
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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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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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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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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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1ca716c30d |
fix(test): flaky test_datetimutil test case TC026 (#1158)
This fix was taken from https://github.com/arneman/EOS/tree/refactor/economic-objective. Avoid flaky TC026 by comparing timestamps at assertion time. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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8bf798daeb |
fix: bare except (#1159)
Bare `except:` catches SystemExit and KeyboardInterrupt, which can: - Mask Ctrl+C handling during long optimization runs - Hide critical system signals - Make debugging harder Replacement by `except Exception:` preserves the same error handling while respecting system-level exceptions. Co-authored-by: Milo @KeloYuan 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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4381948f13 |
fix: price interpolation (#1154)
Use forward fill to interpolate time series data that represents prices: - elecprice_marketprice_wh - feed_in_tariff_wh Signed-off-by: Bobby Noelte <b0661n0e17e@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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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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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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2da724ecf4 |
chore: improve openmeteo test (#974)
Make openmeteo test robust against timing issues. Also update: - types-docutils==0.22.3.20260322 - pytest-cov==7.1.0 - ruff-pre-commit v0.15.7 - uvlock Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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963a495f7e |
fix: openmeteo test (#957)
Make test more robust against time race conditions. 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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71e5abce88 |
fix: energy charts bidding zone in request (#948)
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Ensure that the bidding zone in the request is correctly set to a string value (not an enum). This seems to be also an issue with python version < 3.11. Add safeguards to only use python >= 3.11. Still keep a regression test for the enum conversion to string. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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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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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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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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bbc4fe308a |
chore: bump numpydantic to 1.8.0. (#918)
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Skip Shape doc in RST compliance test. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.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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32e690becf |
fix: EOS run asynchronous tasks (#904)
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Startup retention manager for asynchronous tasks. Handle gracefully exceptions in these tasks or the configuration for them. Remove tasks.py as repeated tasks are now handled by the retention manager. When running on GitHub, only the version date file is checked. The development tag is merely a label, so any date set during development suffices. The test_doc is also skipped on GitHub actions. |
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378377b1ce |
fix: test break docs and on data compaction (2) (#902)
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Ensure that the snapping sequence generated in the test fixture is within the boundaries expected by the test. Ensure we read the _version_date.py info as UTC datetime and do no localtime conversion. Prevent and guard test_version.py to modify the version date file. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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90e2e8af7e |
fix: test break on docs version and data compaction (#900)
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Upgrade to: - pandas==3.01 - fastapi[standard-no-fastapi-cloud-cli]==0.132.0 - fastapi_cli==0.0.23 - MonsterUI==1.0.44 - uvicorn==0.41.0 Close database in database fixture on teardown. Fix file exclusion in hash and version date generation. Update version information in documentation. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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d446274129 |
fix: Adapt versioning scheme to Home Assistant and switch to uv (#896)
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Home Assistant expects versioning always increases numbers. Add a date component to the development version to comply with this expectation. The scheme is now 0.0.0.dev<date><hash>. Use uv for creating and managing the virtual environment for developement. This enourmously speeds up dependency updates. For this change dependency requirements are now solely handled in pyproject.toml. requirements.tx and requirements-dev.txt are deleted. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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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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df92e6157f |
fix: logging long lines from EOSdash (#843)
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Truncate long lines on logging from EOSdash. Rate limit log messages from EOSdash to prevent overload. Log messages read and dropped to avoid EOSdash is blocked on standard or error output. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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39973bf836 |
fix: load prediction adjustment with measurement in kwh (#826)
Use load energy meter reading in kWh for load prediction adjustment. Before the reading was falsely regarded to be in Wh. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.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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976a2c8405 |
chore: automate development version and release generation (#772)
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This change introduces a GitHub Action to automate release creation, including proper tagging and automatic addition of a development marker to the version. A hash is also appended to development versions to make their state easier to distinguish. Tests and release documentation have been updated to reflect the revised release workflow. Several files now retrieve the current version dynamically. The test --full-run option has been rename to --finalize to make clear it is to do commit finalization testing. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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4c2997dbd6 |
feat: add bidding zone to energy charts price prediction (#765)
Energy charts supports bidding zones. Allow to specifiy the bidding zone in the configuration. Extend and simplify ElecPrice configuration structure and setup config migration to automatically update the configuration file. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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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> |
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8da137f8f1 |
fix: cached_method deprecated and test
cachebox deprecated the method decorator. Used cached instead. Fix cache integration tests that were accessing real world addresses. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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e7b43782a4 |
fix: pydantic extra keywords deprecated (#753)
Pydantic deprecates using extra keyword arguments on Field. Used json_schema_extra instead. Deprecated in Pydantic V2.0 to be removed in V3.0. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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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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94c4ee2951 |
feat: improve config backup and update and revert (#737)
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Improve the backup of the EOS configuration on configuration migration from another version. Backup files now get a backup id based on date and time. Add the configuration backup listing and the revert to the backup to the EOS api. Add revert to backup to the EOSdash admin tab. Improve documentation about install, update and revert of EOS versions. Add EOS execution profiling to make commands and to test description in the development guideline. Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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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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c911378bee |
fix: ensure genetic common settings available
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Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com> |
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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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8e69caba73 |
feat(VRM forecast): add load and pv forecast by VRM API (#611)
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Add support for fetching forecasts from the VRM API by Victron Energy. Retrieve forecasts for PV generation and total load of a Victron system from the internet. Tests for the new modules have been added, and the documentation has been updated accordingly. Signed-off-by: redmoon2711 <redmoon2711@gmx.de> |