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View Code? Open in Web Editor NEWFrequenz Reporting API gRPC/protobuf specifications
License: MIT License
Frequenz Reporting API gRPC/protobuf specifications
License: MIT License
The python client should be located in its own repository, which needs to be set up:
frequenz-client-reporting-python
(according to https://github.com/frequenz-floss/frequenz-sdk-python/wiki/APIs-stack-and-repositories-structure)Currently, each metric in _types.py
in PR #14 is transformed as follows:
AC_FREQUENCY = metric_sample_pb2.Metric.METRIC_AC_FREQUENCY
Can we automate this based on the .proto files so it is less verbose?
The frequenz-api-common dependency should be updated to v0.6.0
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Users could get more control about resampling:
ts1 <= ts < ts2
or ts1 < ts <= ts2
Support corresponding parameters in ResamplingOptions
.
Different aggregations make sense if metrics like energy (sum) or peak values (min/max) are of interest.
Different closed
options could be helpful if data is compared with external data that could use another interval definition (e.g. DSO, clients).
label
is required if the closed
option is changed to avoid weird timestamps.
Resolutions below 1s could be interesting if faster reaction is needed or very short-term forecasts. Since we plan to make resampling mandatory when aggregating components, the shortest resolution would be 1s for component aggregations.
No response
Related to:
Example for resampling options in pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.resample.html
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