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>
* 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>
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>
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>
