* Migrate from Flask to FastAPI
* FastAPI migration:
- Use pydantic model classes as input parameters to the
data/calculation classes.
- Interface field names changed to constructor parameter names (for
simplicity only during transition, should be updated in a followup
PR).
- Add basic interface requirements (e.g. some values > 0, etc.).
* Update tests for new data format.
* Python requirement down to 3.9 (TypeGuard no longer needed)
* Makefile: Add helpful targets (e.g. development server with reload)
* Move API doc from README to pydantic model classes (swagger)
* Link to swagger.io with own openapi.yml.
* Commit openapi.json and check with pytest for changes so the
documentation is always up-to-date.
* Streamline docker
* FastAPI: Run startup action on dev server
* Fix config for /strompreis, endpoint still broken however.
* test_openapi: Compare against docs/.../openapi.json
* Move fastapi to server/ submodule
* See #187 for new repository structure.
Report data are floats.
The report is used for unit testing which may be affected by the float precision of the test environment.
Round to make the test result more robust without loosing the general test case.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Add documentation to class_pv_forecast.py.
Added documentation. Beware mostly generated by ChatGPT.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Add CacheFileStore, datetime and logger utilities.
The `CacheFileStore` class is a singleton-based, thread-safe key-value store for managing
temporary file objects, allowing the creation, retrieval, and management of cache files.
The utility modules offer a flexible logging setup (`get_logger`) and utilities to handle
different date-time formats (`to_datetime`, `to_timestamp`) and timezone detection
(`to_timezone).
- Cache files are automatically valid for the the current date unless specified otherwise.
This is to mimic the current behaviour used in several classes.
- The logger supports rotating log files to prevent excessive log file size.
- The `to_datetime` and `to_timestamp`functions support a wide variety of input types and formats.
They provide the time conversion that is e.g. used in PVForecast.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Improve testability of PVForecast
Improvements for testing of PVForecast
- Use common utility functions to allow for general testing at one spot.
- to_datetime
- CacheFileStore
- Use logging instead of print to easily capture in testing.
- Add validation of the json schema for Akkudoktor PV forecast data.
- Allow to create an empty PVForecast instance as base instance for testing.
- Make process_data() complete for filling a PVForecast instance for testing.
- Normalize forecast datetime to timezone of system given in loaded data.
- Do not print report but provide report for test checks.
- Get rid of cache file path using the CachFileStore to automate cache file usage.
- Improved module documentation.
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
* Add test for PVForecast and newly extracted utility modules.
- Add test for PVForecast
- Add test for CacheFileStore in the new cachefilestore module
- Add test for to_datetime, to_timestamp, to_timezone in the new
datetimeutil module
- Add test for get_logger in the new logutil module
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
---------
Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
Co-authored-by: Normann <github@koldrack.com>
* Integrated single_test_optimization into pytest to run a basic optimization test with tolerance set to 1e-6, ensuring quick detection of deviations.
* Added a long-run test (400 generations, like single_test_optimization), which can be triggered using --full-run in pytest.
* Mocked PDF creation in optimization tests and added a new PDF generation test with image comparison validation.
Note: Current tolerance is set to 1e-6; feedback on whether this tolerance is tight enough is welcome.
---------
Co-authored-by: Normann <github@koldrack.com>
Co-authored-by: Michael Osthege <michael.osthege@outlook.com>
