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energyplus-wrapper-1.0.0


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توضیحات

Wrapper able to run energy-plus in parallel, directly from python.
ویژگی مقدار
سیستم عامل -
نام فایل energyplus-wrapper-1.0.0
نام energyplus-wrapper
نسخه کتابخانه 1.0.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده N. Cellier
ایمیل نویسنده contact@nicolas-cellier.net
آدرس صفحه اصلی https://github.com/locie/energy_plus_wrapper
آدرس اینترنتی https://pypi.org/project/energyplus-wrapper/
مجوز MIT
# energy+ wrapper This little library has been written in order to run energy+ simulation in linux and windows in a thread-safe way. The main goal is to ensure a stable behavior across platform and version, and to make the link between the e+ building model tools written in python and the different analysis and optimization tools. # Install For now, the package is available on PyPI, and via the github repo. ``` bash pip install git+https://github.com/locie/energy_plus_wrapper ``` for the requirements. # Usage There is two main classes in the library: the EPlusRunner and the Simulation. The first one is linked with the EnergyPlus local installation and allow to run one or many simulation. It also ensure the compatibility between the executable and the IDF file. The later is generated with the `runner.run_one` and `runner.run_many`. It contains the EnergyPlus simulation reports and results. A small utility routine `ensure_eplus_root` allow to automatically download, extract and install EnergyPlus (but only for linux for now). ```python from energyplus_wrapper import EPlusRunner, ensure_eplus_root eplus_root = ensure_eplus_root("http://url/to/eplus/install.sh") # or eplus_root = "path/to/energyplus/install/dir" runner = EPlusRunner(eplus_root) simulation = runner.run("my/idf/file.idf", "my/weather/file.epw") print(simulation.reports) # be aware that the result is a complex nested dict print(simulation.time_series) ``` The runner.run is multi-process safe, allowing to run multiple EnergyPlus simulation at the same time. The method `runner.run_many` allow to run multiple simulation at the same time. It uses `joblib.parallel` under the hood : how the simulation are ran and how many CPU are used can be controlled by `joblib.parallel_backend` ```python from energyplus_wrapper import EPlusRunner, ensure_eplus_root eplus_root = ensure_eplus_root("http://url/to/eplus/install.sh") # or eplus_root = "path/to/energyplus/install/dir" runner = EPlusRunner(eplus_root) samples = {"sim01": ("idf01.idf", "weather01.epw"), "sim02": ("idf02.idf", "weather01.epw"), "sim03": ("idf03.idf", "weather02.epw"), "sim04": ("idf04.idf", "weather02.epw")} # run on 4 CPU with joblib.parallel_backend("loky", n_jobs=4): sims = runner.run_many(samples) print(sims.keys()) ``` ## `run_one`, `run_many` common mecanism ### `eppy` compatibility Every time you need to provide an idf file, you can use a `eppy.modeleditor.IDF` object instead (as obtained using `eppy.openidf`). This allow dynamic change of the model without the need to rewrite one file per simulation. ### backup According to the `backup_strategy`, the runner can save the files generated by EnergyPlus in the `backup` folder. It can save the files `'always'`, `'on_error'`, or never (with `None`). ### version check According to `version_mismatch_action`, a mismatch between the e+ executable and the idf file version will `raise` an error, `warn` the user or be `ignore`d. ### custom post-process You can provide a custom simulation post process. By default, the file `eplus-table.htm` is parsed and put in the `simulation.reports` attribute, and all the csv files generated by the run are parsed and put in `simulation.time_series`. For example, you could save all the files generated by the simulation with ```python from path import Path import zipfile archive_folder = Path("./archive/").abspath() def save_and_compress(simulation): with zipfile.ZipFile(archive_folder / f"{simulation.name}.gz", "w", zipfile.ZIP_DEFLATED) as zip_handler: for file in simulation.working_dir.files("*"): zip_handler.write(file) runner.run_one(idf, wf, custom_process=save_and_compress) ```


نیازمندی

مقدار نام
- appdirs
- pandas
- loguru
- plumbum
- attrs
- requests
- path.py
- pexpect
- beautifulsoup4
- lxml
- coolname
- eppy
- fasteners
- joblib
- pytest
- pylama
- pylint
- pre-commit
- pytest-coverage
- pytest-xdist
- sphinx
- sphinx-rtd-theme
- sphinx-gallery
- nb2plots
- doc8
- seaborn


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl energyplus-wrapper-1.0.0:

    pip install energyplus-wrapper-1.0.0.whl


نصب پکیج tar.gz energyplus-wrapper-1.0.0:

    pip install energyplus-wrapper-1.0.0.tar.gz