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        "description": "# cimetrics\n\n[![Build Status](https://dev.azure.com/jumaffre/metrics-devops/_apis/build/status/jumaffre.cimetrics?branchName=main)](https://dev.azure.com/jumaffre/metrics-devops/_build/latest?definitionId=2&branchName=main)\n[![PyPI version](https://badge.fury.io/py/cimetrics.svg)](https://badge.fury.io/py/cimetrics)\n\n`cimetrics` lets you track crucial metrics to avoid unwanted regressions. It is easy to integrate with your existing projects and automatically provides quick feedback in your GitHub Pull Requests. See it in action [here](https://github.com/jumaffre/cimetrics/pull/66#issuecomment-573324351).\n\n<p align=\"center\"> <img src=\"https://raw.githubusercontent.com/jumaffre/cimetrics/cimetrics/cimetrics/image2020-01-11%2015%3A03%3A37.764906.png\" width=\"600\"></p>\n\n## Install\n\n```sh\npip install cimetrics\n```\n\n## Using cimetrics\n\n### Setup storage\n\nMetrics data are stored in any MongoDB-compatible database.\n\nAn easy way to get storage set up is to spin up a [Cosmos DB](https://docs.microsoft.com/en-us/azure/cosmos-db/introduction) instance in Azure. The connection string should be stored as the `METRICS_MONGO_CONNECTION` secret variable in your CI system.\n\n### Pushing metrics from your tests\n\nYou can use the simple Python API to push your metrics to your storage:\n\n```python\nimport cimetrics.upload\n\nwith cimetrics.upload.Metrics() as metrics:\n  # Run some tests and collect some data\n  metrics.put(\"metric1 name (unit)\", metric_1)\n  metrics.put(\"metric2 name (unit)\", metric_2)\n```\n\nNote that `metric_1` and `metric_2` must be instances of [numbers.Real](https://docs.python.org/3.7/library/numbers.html#numbers.Real), for example `float` or `int`.\n\nIf a build publishes metrics from multiple instances of a `cimetrics.upload.Metrics`, for example because\nit is running multiple concurrent jobs, it it necessary to publish those as \"incomplete\",\nand to publish a \"complete\" entry only once they have all run. This is to prevent metrics comparison from\nhappening against an incomplete set of metrics for a build.\n\nFor example:\n\n```python\n# Job 1\nwith cimetrics.upload.Metrics(complete=False) as metrics:\n  metrics.put(\"metric1 name (unit)\", metric_1)\n\n# Job 2\nwith cimetrics.upload.Metrics(complete=False) as metrics:\n  metrics.put(\"metric2 name (unit)\", metric_2)\n\n# Job running after Job 1 and 2 are complete\nwith cimetrics.upload.Metrics() as metrics:\n  pass\n```\n\nIt is often convenient to use the same job to mark a set of metrics as complete and to plot them.\nA convenience entry-point is supplied to mark the metrics complete for a build:\n\n```python\npython -m cimetrics.upload_complete\n```\n\n### Setup the CI\n\nYour CI is responsible for rendering the metrics report and posting them to your Pull Requests in GitHub. For this, you should create a [personal authentication token](https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line) with Write access to the repository for the account you want to post on behalf of `cimetrics`. Then, you should set up the token as the `GITHUB_TOKEN` secret variable in your CI system. Don't forget to add that user as a personal contributor (Write access) to your Github repository as well.\n\nThen, you should add the following steps to your CI configuration file, e.g. for Azure Pipelines:\n\n```yaml\n# Your application. This step collects and uploads your metrics\n# to your MongoDB instance.\n- script: python app/main.py\n  env:\n    METRICS_MONGO_CONNECTION: $(METRICS_MONGO_CONNECTION)\n  displayName: 'Run app and collect metrics'\n\n# This step generates a graph reporting the differences between\n# your branch and the target branch.\n# Only run on Pull Requests build.\n- script: python -m cimetrics.plot\n  env:\n    METRICS_MONGO_CONNECTION: $(METRICS_MONGO_CONNECTION)\n  displayName: 'Plot metrics'\n  condition: eq(variables['Build.Reason'], 'PullRequest')\n\n# This step publishes a report comment on the GitHub Pull Request\n# using GITHUB_TOKEN as authentication (use secret variables!)\n# Only run on Pull Requests build.\n- script: python -m cimetrics.github_pr\n  env:\n    GITHUB_TOKEN: $(GITHUB_TOKEN)\n  displayName: 'Post metrics graphs as PR comment'\n  condition: eq(variables['Build.Reason'], 'PullRequest')\n```\n\nSee [azure-pipelines.yml](https://github.com/jumaffre/cimetrics/blob/main/azure-pipelines.yml) for a full working example.\n\n### Create the `metrics.yml` file\n\nThe last step is to create a new `metrics.yml` configuration file at the root of your repository. 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