A package for generating BuildingSync documents in R. It is intended to be used in parallel with the nmecr package, enabling serialization of NMEC analysis into BuildingSync documents.
Go to NOAA's website to request an API key. This is needed to look up weather data. Set an environment variable named NOAA_TOKEN with your API key.
export NOAA_TOKEN=YOUR_KEY_HEREWithin R, run the following to test if the package loads. There are many dependent packages that might need to be installed, check the logs as needed.
remotes::install_github('BuildingSync/bsyncr', upgrade='never')
# using a specific release
remotes::install_github('BuildingSync/[email protected]', upgrade='never')
# verify that the package loads
library(bsyncr)
# see the vignette PDF file or the test file for an
# example on using.Tests are automatically run on GitHub. To run locally, make sure to have R installed along with various dev packages.
Rscript setup_environment.R
Rscript -e "testthat::test_dir('tests')"- Open
bysync.Rprojin RStudio - In RStudio, format all the R files by running the following commands in RStudio
install.packages("styler", repos = "http://cran.us.r-project.org")
styler::style_dir()- Create a branch with the prepared release change log.
- For testing purposes, make sure the versions of NMECR and RNOAA are correct in the
setup_environment.Rscript - Update version in
DESCRIPTIONto the next correct semantic version - Make sure the
DESCRIPTIONhas the correct version of the dependencies - Create CHANGELOG in GitHub, paste in updates into CHANGELOG.md
- Run
pre-commitlocally - Merge release prep PR to develop
- Test as needed
- To release, from the command line merge latest develop into latest main:
git merge --ff-only origin develop. This will point the HEAD of main to latest develop. Then push the main branch to GitHub withgit push, which may require a developer with elevated privileges to push to main. - Back on GitHub create a new tag in GitHub against main and copy the change log notes into the tag description.
- Tag on GitHub, copy over the correct version (format vX.Y.Z) and CHANGELOG content.
- Stub out
auc:DerivedModelsfor both the baseline and reporting scenarios - Run NMEC analysis, as shown in nmecr vignette
- Serialize the SLR model
- Serialize the 5p change point model
- Add timeseries serialization into utility functions