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benchconnect-2023.2.8


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توضیحات

CLI to Post Benchmark Results to a Conbench Server
ویژگی مقدار
سیستم عامل -
نام فایل benchconnect-2023.2.8
نام benchconnect
نسخه کتابخانه 2023.2.8
نگهدارنده ['Voltron Data']
ایمیل نگهدارنده ['conbench@voltrondata.com']
نویسنده -
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/conbench/conbench/tree/main/benchconnect
آدرس اینترنتی https://pypi.org/project/benchconnect/
مجوز -
# benchconnect A small Python package that creates a CLI for benchmark runners interacting with a Conbench server. This is a light wrapper on top of [benchadapt.BenchmarkResult](https://github.com/conbench/conbench/blob/main/benchadapt/python/benchadapt/result.py), [benchadapt.BenchmarkRun](https://github.com/conbench/conbench/blob/main/benchadapt/python/benchadapt/run.py), and [benchclients.ConbenchClient](https://github.com/conbench/conbench/blob/main/benchclients/python/benchclients/conbench.py). If your code is already in Python, it may be simpler to use those classes directly. ## Installation With [pipx](https://pypa.github.io/pipx/): ```bash pipx install benchconnect@git+https://github.com/conbench/conbench.git@main#subdirectory=benchconnect ``` ## Environment variables benchconnect relies on a number of environment variables to obtain various metadata: - `CONBENCH_URL`: Required. The URL of the Conbench server without a trailing slash, e.g. `https://conbench.example.com` - `CONBENCH_EMAIL`: The email to use for Conbench login. Only required if the server is private. - `CONBENCH_PASSWORD`: The password to use for Conbench login. Only required if the server is private. - `CONBENCH_PROJECT_REPOSITORY`: The repository name (in the format `org/repo`) or the URL (in the format `https://github.com/org/repo`) - `CONBENCH_PROJECT_PR_NUMBER`: [recommended] The number of the GitHub pull request that is running this benchmark. Do not supply this for a runs on the default branch. - `CONBENCH_PROJECT_COMMIT`: The 40-character commit SHA of the repo being benchmarked - `CONBENCH_MACHINE_INFO_NAME`: By default, the running machine host name (sent in `machine_info.name` when posting runs and benchmarks) will be obtained with `platform.node()`, but in circumstances where consistency is needed (e.g. running in CI or on cloud runners), a value for host name can be specified via this environment variable instead. ## Usage ### Benchmark run workflow To submit a run of benchmark results to a Conbench server, benchconnect can open a run, modify submitted results to be a part of that run, and close it. A minimal example: ```shell benchconnect start run '{"run_reason": "test"}' # pass one result or a whole set at a time, inline or from files benchconnect submit result --path my-results/ benchconnect finish run ``` Additional metadata can be passed via JSON, e.g. `name` and `github` when creating the run, or `error_type` and `error_info` when closing it. ### Manual API See the man pages: ```shell benchconnect --help benchconnect augment --help benchconnect post --help benchconnect put --help ``` The `augment` command takes JSON for a benchmark result (`augment result`) or benchmark run (`augment run`) and fills in defaults for unspecified fields. This is useful for filling in fields like `machine_info` consistently. Note this is stateless, and will not make `run_id` and `suite_id` values correspond across results, nor will the resulting JSON necessarily be complete enough to post to a Conbench server correctly (it can't fill in things like `run_reason` for you); please ensure data is correct before posting. The `post` and `put` commands authenticate with a Conbench server (see man pages for environment variables) and send JSON passed. Since they correspond to the API, there are `post result` and `post run` methods, but only `put run`.


نیازمندی

مقدار نام
- benchadapt
- benchclients
- click


زبان مورد نیاز

مقدار نام
>=3.8 Python


نحوه نصب


نصب پکیج whl benchconnect-2023.2.8:

    pip install benchconnect-2023.2.8.whl


نصب پکیج tar.gz benchconnect-2023.2.8:

    pip install benchconnect-2023.2.8.tar.gz