EOS/tests/test_datetimeutil.py

623 lines
18 KiB
Python
Raw Normal View History

"""Test Module for pendulum.datetimeutil Module."""
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
import pendulum
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
import pytest
from pendulum.tz.timezone import Timezone
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
from akkudoktoreos.utils.datetimeutil import (
compare_datetimes,
hours_in_day,
to_datetime,
to_duration,
to_timezone,
)
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# -----------------------------
# to_datetime
# -----------------------------
# Test cases for valid pendulum.duration inputs
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
@pytest.mark.parametrize(
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
"test_case, local_timezone, date_input, as_string, in_timezone, to_naiv, to_maxtime, expected_output, expected_approximately",
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
[
# ---------------------------------------
# from string to pendulum.datetime object
# ---------------------------------------
# - no timezone
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
(
"TC001",
"Etc/UTC",
"2024-01-01",
None,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
None,
None,
False,
pendulum.datetime(2024, 1, 1, 0, 0, 0, tz="Etc/UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC002",
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
"Europe/Berlin",
"2024-01-01",
None,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
None,
None,
False,
pendulum.datetime(2024, 1, 1, 0, 0, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
),
(
"TC003",
"Europe/Berlin",
"2024-01-01",
None,
None,
None,
False,
pendulum.datetime(2023, 12, 31, 23, 0, 0, tz="Etc/UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC004",
"Europe/Paris",
"2024-01-01 00:00:00",
None,
None,
None,
False,
pendulum.datetime(2024, 1, 1, 0, 0, 0, tz="Europe/Paris"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC005",
"Etc/UTC",
"2024-01-01 00:00:00",
None,
None,
None,
False,
pendulum.datetime(2024, 1, 1, 1, 0, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC006",
"Europe/Berlin",
"2024-01-01 00:00:00",
None,
None,
None,
False,
pendulum.datetime(2023, 12, 31, 23, 0, 0, tz="Etc/UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC007",
"Atlantic/Canary",
"2024-01-01 12:00:00",
None,
None,
None,
False,
pendulum.datetime(
2024,
1,
1,
12,
0,
0,
tz="Atlantic/Canary",
),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC008",
"Etc/UTC",
"2024-01-01 12:00:00",
None,
None, # force local timezone
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
None,
False,
pendulum.datetime(2024, 1, 1, 13, 0, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC009",
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
"Europe/Berlin",
"2024-01-01 12:00:00",
None,
None,
None,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
False,
pendulum.datetime(2024, 1, 1, 11, 0, 0, tz="Etc/UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# - with timezone
(
"TC010",
"Etc/UTC",
"02/02/24",
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
None,
"Europe/Berlin",
None,
False,
pendulum.datetime(2024, 2, 2, 0, 0, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
),
(
"TC011",
"Etc/UTC",
"2024-03-03T10:20:30.000+01:00", # No dalight saving time at this date
None,
"Europe/Berlin",
None,
None,
pendulum.datetime(2024, 3, 3, 10, 20, 30, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC012",
"Etc/UTC",
"2024-04-04T10:20:30.000+02:00",
None,
"Europe/Berlin",
False,
None,
pendulum.datetime(2024, 4, 4, 10, 20, 30, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC013",
"Etc/UTC",
"2024-05-05T10:20:30.000+02:00",
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
None,
"Europe/Berlin",
True,
None,
pendulum.naive(2024, 5, 5, 10, 20, 30, 0),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# - without local timezone as UTC
(
"TC014",
"Atlantic/Canary",
"02/02/24",
None,
"UTC",
None,
False,
pendulum.datetime(2024, 2, 2, 0, 0, 0, tz="UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC015",
"Atlantic/Canary",
"2024-03-03T10:20:30.000Z", # No dalight saving time at this date
None,
None,
None,
None,
pendulum.datetime(2024, 3, 3, 10, 20, 30, 0, tz="UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# ---------------------------------------
# from pendulum.datetime to pendulum.datetime object
# ---------------------------------------
(
"TC016",
"Atlantic/Canary",
pendulum.datetime(2024, 4, 4, 0, 0, 0),
None,
None,
None,
False,
pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Etc/UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC017",
"Atlantic/Canary",
pendulum.datetime(2024, 4, 4, 1, 0, 0),
None,
"Europe/Berlin",
None,
False,
pendulum.datetime(2024, 4, 4, 3, 0, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC018",
"Atlantic/Canary",
pendulum.datetime(2024, 4, 4, 1, 0, 0, tz="Etc/UTC"),
None,
"Europe/Berlin",
None,
False,
pendulum.datetime(2024, 4, 4, 3, 0, 0, tz="Europe/Berlin"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC019",
"Atlantic/Canary",
pendulum.datetime(2024, 4, 4, 2, 0, 0, tz="Europe/Berlin"),
None,
"Etc/UTC",
None,
False,
pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Etc/UTC"),
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# ---------------------------------------
# from string to UTC string
# ---------------------------------------
# - no timezone
# local timezone UTC
(
"TC020",
"Etc/UTC",
"2023-11-06T00:00:00",
"UTC",
None,
None,
None,
"2023-11-06T00:00:00Z",
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# local timezone "Europe/Berlin"
(
"TC021",
"Europe/Berlin",
"2023-11-06T00:00:00",
"UTC",
"Europe/Berlin",
None,
None,
"2023-11-05T23:00:00Z",
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# - no microseconds
(
"TC022",
"Atlantic/Canary",
"2024-10-30T00:00:00+01:00",
"UTC",
None,
None,
None,
"2024-10-29T23:00:00Z",
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
(
"TC023",
"Atlantic/Canary",
"2024-10-30T01:00:00+01:00",
"utc",
None,
None,
None,
"2024-10-30T00:00:00Z",
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# - with microseconds
(
"TC024",
"Atlantic/Canary",
"2024-10-07T10:20:30.000+02:00",
"UTC",
None,
None,
None,
"2024-10-07T08:20:30Z",
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
False,
),
# ---------------------------------------
# from None to pendulum.datetime object
# ---------------------------------------
# - no timezone
# local timezone
(
"TC025",
None,
None,
None,
None,
None,
None,
pendulum.now(),
True,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
),
],
)
def test_to_datetime(
set_other_timezone,
test_case,
local_timezone,
date_input,
as_string,
in_timezone,
to_naiv,
to_maxtime,
expected_output,
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
expected_approximately,
):
"""Test pendulum.datetime conversion with valid inputs."""
set_other_timezone(local_timezone)
result = to_datetime(
date_input,
as_string=as_string,
in_timezone=in_timezone,
to_naiv=to_naiv,
to_maxtime=to_maxtime,
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
)
# if isinstance(date_input, str):
# print(f"Input: {date_input}")
# else:
# print(f"Input: {date_input} tz={date_input.timezone}")
if isinstance(expected_output, str):
# print(f"Expected: {expected_output}")
# print(f"Result: {result}")
assert result == expected_output
elif expected_output.timezone is None:
# We expect an exception
with pytest.raises(TypeError):
assert compare_datetimes(result, expected_output).equal
else:
compare = compare_datetimes(result, expected_output)
# print(f"---- Testcase: {test_case} ----")
# print(f"Expected: {expected_output} tz={expected_output.timezone}")
# print(f"Result: {result} tz={result.timezone}")
# print(f"Compare: {compare}")
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
if expected_approximately:
assert compare.time_diff < 300
Fix2 config and predictions revamp. (#281) measurement: - Add new measurement class to hold real world measurements. - Handles load meter readings, grid import and export meter readings. - Aggregates load meter readings aka. measurements to total load. - Can import measurements from files, pandas datetime series, pandas datetime dataframes, simple daetime arrays and programmatically. - Maybe expanded to other measurement values. - Should be used for load prediction adaptions by real world measurements. core/coreabc: - Add mixin class to access measurements core/pydantic: - Add pydantic models for pandas datetime series and dataframes. - Add pydantic models for simple datetime array core/dataabc: - Provide DataImport mixin class for generic import handling. Imports from JSON string and files. Imports from pandas datetime dataframes and simple datetime arrays. Signature of import method changed to allow import datetimes to be given programmatically and by data content. - Use pydantic models for datetime series, dataframes, arrays - Validate generic imports by pydantic models - Provide new attributes min_datetime and max_datetime for DataSequence. - Add parameter dropna to drop NAN/ None values when creating lists, pandas series or numpy array from DataSequence. config/config: - Add common settings for the measurement module. predictions/elecpriceakkudoktor: - Use mean values of last 7 days to fill prediction values not provided by akkudoktor.net (only provides 24 values). prediction/loadabc: - Extend the generic prediction keys by 'load_total_adjusted' for load predictions that adjust the predicted total load by measured load values. prediction/loadakkudoktor: - Extend the Akkudoktor load prediction by load adjustment using measured load values. prediction/load_aggregator: - Module removed. Load aggregation is now handled by the measurement module. prediction/load_corrector: - Module removed. Load correction (aka. adjustment of load prediction by measured load energy) is handled by the LoadAkkudoktor prediction and the generic 'load_mean_adjusted' prediction key. prediction/load_forecast: - Module removed. Functionality now completely handled by the LoadAkkudoktor prediction. utils/cacheutil: - Use pydantic. - Fix potential bug in ttl (time to live) duration handling. utils/datetimeutil: - Added missing handling of pendulum.DateTime and pendulum.Duration instances as input. Handled before as datetime.datetime and datetime.timedelta. utils/visualize: - Move main to generate_example_report() for better testing support. server/server: - Added new configuration option server_fastapi_startup_server_fasthtml to make startup of FastHTML server by FastAPI server conditional. server/fastapi_server: - Add APIs for measurements - Improve APIs to provide or take pandas datetime series and datetime dataframes controlled by pydantic model. - Improve APIs to provide or take simple datetime data arrays controlled by pydantic model. - Move fastAPI server API to v1 for new APIs. - Update pre v1 endpoints to use new prediction and measurement capabilities. - Only start FastHTML server if 'server_fastapi_startup_server_fasthtml' config option is set. tests: - Adapt import tests to changed import method signature - Adapt server test to use the v1 API - Extend the dataabc test to test for array generation from data with several data interval scenarios. - Extend the datetimeutil test to also test for correct handling of to_datetime() providing now(). - Adapt LoadAkkudoktor test for new adjustment calculation. - Adapt visualization test to use example report function instead of visualize.py run as process. - Removed test_load_aggregator. Functionality is now tested in test_measurement. - Added tests for measurement module docs: - Remove sphinxcontrib-openapi as it prevents build of documentation. "site-packages/sphinxcontrib/openapi/openapi31.py", line 305, in _get_type_from_schema for t in schema["anyOf"]: KeyError: 'anyOf'" Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
2024-12-29 18:42:49 +01:00
else:
assert compare.equal == True
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# -----------------------------
# to_duration
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# -----------------------------
# Test cases for valid duration inputs
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
@pytest.mark.parametrize(
"input_value, expected_output",
[
# duration input
(pendulum.duration(days=1), pendulum.duration(days=1)),
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# String input
("2 days", pendulum.duration(days=2)),
("5 hours", pendulum.duration(hours=5)),
("47 hours", pendulum.duration(hours=47)),
("48 hours", pendulum.duration(seconds=48 * 3600)),
("30 minutes", pendulum.duration(minutes=30)),
("45 seconds", pendulum.duration(seconds=45)),
(
"1 day 2 hours 30 minutes 15 seconds",
pendulum.duration(days=1, hours=2, minutes=30, seconds=15),
),
("3 days 4 hours", pendulum.duration(days=3, hours=4)),
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# Integer/Float input
(3600, pendulum.duration(seconds=3600)), # 1 hour
(86400, pendulum.duration(days=1)), # 1 day
(1800.5, pendulum.duration(seconds=1800.5)), # 30 minutes and 0.5 seconds
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# Tuple/List input
((1, 2, 30, 15), pendulum.duration(days=1, hours=2, minutes=30, seconds=15)),
([0, 10, 0, 0], pendulum.duration(hours=10)),
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
],
)
def test_to_duration_valid(input_value, expected_output):
"""Test to_duration with valid inputs."""
assert to_duration(input_value) == expected_output
def test_to_duration_summation():
start_datetime = to_datetime("2028-01-11 00:00:00")
index_datetime = start_datetime
for i in range(48):
expected_datetime = start_datetime + to_duration(f"{i} hours")
assert index_datetime == expected_datetime
index_datetime += to_duration("1 hour")
assert index_datetime == to_datetime("2028-01-13 00:00:00")
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
# -----------------------------
# to_timezone
# -----------------------------
def test_to_timezone_string():
"""Test to_timezone function returns correct timezone as a string."""
location = (40.7128, -74.0060) # New York City coordinates
result = to_timezone(location=location, as_string=True)
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
assert result == "America/New_York", "Expected timezone string 'America/New_York'"
def test_to_timezone_timezone():
"""Test to_timezone function returns correct timezone as a Timezone object."""
location = (40.7128, -74.0060) # New York City coordinates
result = to_timezone(location=location)
assert isinstance(result, Timezone), "Expected a Timezone object"
assert result.name == "America/New_York", "Expected Timezone name 'America/New_York'"
Add test to PVForecast (#174) * 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>
2024-11-10 23:49:10 +01:00
def test_to_timezone_invalid_coordinates():
"""Test to_timezone function handles invalid coordinates gracefully."""
location = (100.0, 200.0) # Invalid coordinates outside Earth range
with pytest.raises(ValueError, match="Invalid latitude/longitude"):
to_timezone(location=location, as_string=True)
# -----------------------------
# hours_in_day
# -----------------------------
@pytest.mark.parametrize(
"local_timezone, date, in_timezone, expected_hours",
[
("Etc/UTC", "2024-11-10 00:00:00", "Europe/Berlin", 24), # No DST in Germany
("Etc/UTC", "2024-08-10 00:00:00", "Europe/Berlin", 24), # DST in Germany
("Etc/UTC", "2024-03-31 00:00:00", "Europe/Berlin", 23), # DST change (23 hours/ day)
("Etc/UTC", "2024-10-27 00:00:00", "Europe/Berlin", 25), # DST change (25 hours/ day)
("Europe/Berlin", "2024-11-10 00:00:00", "Europe/Berlin", 24), # No DST in Germany
("Europe/Berlin", "2024-08-10 00:00:00", "Europe/Berlin", 24), # DST in Germany
("Europe/Berlin", "2024-03-31 00:00:00", "Europe/Berlin", 23), # DST change (23 hours/ day)
("Europe/Berlin", "2024-10-27 00:00:00", "Europe/Berlin", 25), # DST change (25 hours/ day)
],
)
def test_hours_in_day(set_other_timezone, local_timezone, date, in_timezone, expected_hours):
"""Test the `test_hours_in_day` function."""
set_other_timezone(local_timezone)
date_input = to_datetime(date, in_timezone=in_timezone)
assert date_input.timezone.name == in_timezone
assert hours_in_day(date_input) == expected_hours
# -----------------------------
# compare_datetimes
# -----------------------------
@pytest.mark.parametrize(
"dt1, dt2, equal, ge, gt, le, lt",
[
# Same time in the same timezone
(
pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
True,
True,
False,
True,
False,
),
(
pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Europe/Berlin"),
pendulum.datetime(2024, 4, 4, 0, 0, 0, tz="Europe/Berlin"),
True,
True,
False,
True,
False,
),
# Same instant in different timezones (converted to UTC)
(
pendulum.datetime(2024, 3, 15, 8, 0, 0, tz="Europe/Berlin"),
pendulum.datetime(2024, 3, 15, 7, 0, 0, tz="UTC"),
True,
True,
False,
True,
False,
),
# Different times across timezones (converted to UTC)
(
pendulum.datetime(2024, 3, 15, 8, 0, 0, tz="America/New_York"),
pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
True,
True,
False,
True,
False,
),
],
)
def test_compare_datetimes_equal(dt1, dt2, equal, ge, gt, le, lt):
# requal = compare_datetimes(dt1, dt2).equal
# rgt = compare_datetimes(dt1, dt2).gt
# rge = compare_datetimes(dt1, dt2).ge
# rlt = compare_datetimes(dt1, dt2).lt
# rle = compare_datetimes(dt1, dt2).le
# print(f"{dt1} vs. {dt2}: expected equal={equal}, ge={ge}, gt={gt}, le={le}, lt={lt}")
# print(f"{dt1} vs. {dt2}: result equal={requal}, ge={rge}, gt={rgt}, le={rle}, lt={rlt}")
assert compare_datetimes(dt1, dt2).equal == equal
assert compare_datetimes(dt1, dt2).ge == ge
assert compare_datetimes(dt1, dt2).gt == gt
assert compare_datetimes(dt1, dt2).le == le
assert compare_datetimes(dt1, dt2).lt == lt
@pytest.mark.parametrize(
"dt1, dt2, equal, ge, gt, le, lt",
[
# Different times in the same timezone
(
pendulum.datetime(2024, 3, 15, 11, 0, 0, tz="UTC"),
pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
False,
False,
False,
True,
True,
),
# Different times across timezones (converted to UTC)
(
pendulum.datetime(2024, 3, 15, 6, 0, 0, tz="America/New_York"),
pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
False,
False,
False,
True,
True,
),
# DST changes: spring forward
(
pendulum.datetime(2024, 3, 10, 1, 59, 0, tz="America/New_York"),
pendulum.datetime(2024, 3, 10, 3, 0, 0, tz="America/New_York"),
False,
False,
False,
True,
True,
),
# DST changes: fall back
(
pendulum.datetime(2024, 11, 3, 1, 0, 0, tz="America/New_York"),
pendulum.datetime(2024, 11, 3, 1, 30, 0, tz="America/New_York"),
False,
False,
False,
True,
True,
),
],
)
def test_compare_datetimes_lt(dt1, dt2, equal, ge, gt, le, lt):
# requal = compare_datetimes(dt1, dt2).equal
# rgt = compare_datetimes(dt1, dt2).gt
# rge = compare_datetimes(dt1, dt2).ge
# rlt = compare_datetimes(dt1, dt2).lt
# rle = compare_datetimes(dt1, dt2).le
# print(f"{dt1} vs. {dt2}: expected equal={equal}, ge={ge}, gt={gt}, le={le}, lt={lt}")
# print(f"{dt1} vs. {dt2}: result equal={requal}, ge={rge}, gt={rgt}, le={rle}, lt={rlt}")
assert compare_datetimes(dt1, dt2).equal == equal
assert compare_datetimes(dt1, dt2).ge == ge
assert compare_datetimes(dt1, dt2).gt == gt
assert compare_datetimes(dt1, dt2).le == le
assert compare_datetimes(dt1, dt2).lt == lt
@pytest.mark.parametrize(
"dt1, dt2",
[
# Different times in the same timezone
(
pendulum.datetime(2024, 3, 15, 13, 0, 0, tz="UTC"),
pendulum.datetime(2024, 3, 15, 12, 0, 0, tz="UTC"),
),
],
)
def test_compare_datetimes_gt(dt1, dt2):
# requal = compare_datetimes(dt1, dt2).equal
# rgt = compare_datetimes(dt1, dt2).gt
# rge = compare_datetimes(dt1, dt2).ge
# rlt = compare_datetimes(dt1, dt2).lt
# rle = compare_datetimes(dt1, dt2).le
# print(f"{dt1} vs. {dt2}: expected equal={equal}, ge={ge}, gt={gt}, le={le}, lt={lt}")
# print(f"{dt1} vs. {dt2}: result equal={requal}, ge={rge}, gt={rgt}, le={rle}, lt={rlt}")
assert compare_datetimes(dt1, dt2).equal == False
assert compare_datetimes(dt1, dt2).ge
assert compare_datetimes(dt1, dt2).gt
assert compare_datetimes(dt1, dt2).le == False
assert compare_datetimes(dt1, dt2).lt == False