\n\n### Create a Codecov account\n\nCreate an account on Codecov through our signup page. We will `Configure` Codecov for our demo repository in the next steps, for now just make sure your groups and repositories are syncing.\n\nSet up the Team Bot, make sure the `Role` allows the team bot to comment on PRs.\n\nNow that we have set up our Codecov accounts, let’s upload coverage reports.\n\n### Add the Codecov token\n\nFor more information on tokens, see [the documentation](https://docs.codecov.com/docs/codecov-tokens).\n\nClick `Configure` on our demo repo, select `Using Codecov's CLI`. We will only do `Step 1` since we are using GitLabCI for this demo.\n\nTo `add repository token as a secret to your CI Provider`, from the demo repository's page on GitLab, go to `Settings -> CI/CD`. Under `Variables`, `Add Variable` to add your token as shown below.\n\n\n\nSelect `Add variable` to save.\n\n### Create GitLabCI pipeline\n\nWe need to create a configuration file for GitLabCI. The CI workflow below will checkout the code, install requirements, run tests, and upload the coverage reports to Codecov.\n\nAdd the following code to a new `.gitlab-ci.yml` file at the root of your project\n\n```yaml .gitlab-ci.yml\napi:\n image: python:latest\n script:\n - pip install -r api/requirements.txt\n - pytest --cov api/\n - curl -Os https://cli.codecov.io/latest/linux/codecov\n - chmod +x codecov\n - ./codecov upload-process -t $CODECOV_TOKEN\n```\n\n### Commit the changes and run the CI workflow\n\nLet’s commit our code and open a pull request. Run\n\n```shell\ngit add .\ngit commit -m 'step2: upload coverage reports to Codecov'\ngit push origin step2\n```\n\nNext, go to the demo repository on GitLab and open a merge request, which will run our GitLabCI pipeline for the first time. \n\n**When opening merge requests, be sure to select your own repository as the target branch, or set your project's default target branch**\n\n> 🚧 Token not found\n> \n> You should expect to see \n> `['info'] -> Token found by environment variables` \n> in the logs in your CI. If you are not seeing this, make sure that you have added the variable and that the CI pipeline has access to the variable.\n\n\n\nYou will see status checks on the MR from the CI. You can click on them to see the progress of the CI/CD. Once complete, you will receive status checks and a comment from Codecov.\n\n[block:image]\n{\n \"images\": [\n {\n \"image\": [\n \"https://files.readme.io/ea00ff447d1291fbade0f593ac6ca13976633a76f1711cdbb05bc508f6bf9b6b-Screenshot_2024-08-23_at_3.30.18_PM.png\",\n \"step22.png\",\n \"\"\n ],\n \"align\": \"center\"\n }\n ]\n}\n[/block]\n\n\n### `codecov/patch` and `codecov/project` status checks\n\nOne of Codecov’s core uses is getting code coverage information directly in a developer’s workflow. The status checks shown above are part of that. \n\n- The `patch` check is used for code changed in a PR, this is enabled by default.\n- The `project` check is used to maintain a coverage percentage across an entire codebase, we will add this check in the next step.\n\nA more mature repository may have a strict `project` percentage, while a project new to code coverage may only expect new code to be well-tested (`patch` coverage). We will be setting some of these values in this section, but you can read more about status checks here.\n\n
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