diff --git a/.github/workflows/build-on-release.yml b/.github/workflows/build-on-release.yml index 73f48bed..2781c403 100644 --- a/.github/workflows/build-on-release.yml +++ b/.github/workflows/build-on-release.yml @@ -8,7 +8,8 @@ jobs: build: strategy: matrix: - os: [ubuntu-latest, windows-latest, macos-latest] + # we build on macos-13 for x86 builds + os: [ubuntu-latest, windows-latest, macos-latest, macos-13] runs-on: ${{ matrix.os }} @@ -18,7 +19,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v2 with: - python-version: '3.9' + python-version: '3.11' - name: Install dependencies run: | @@ -32,7 +33,7 @@ jobs: sudo apt-get install -y binutils - name: Install the Apple certificate and provisioning profile - if: matrix.os == 'macos-latest' + if: matrix.os == 'macos-latest' || matrix.os == 'macos-13' env: BUILD_CERTIFICATE_BASE64: ${{ secrets.BUILD_CERTIFICATE_BASE64 }} P12_PASSWORD: ${{ secrets.P12_PASSWORD }} @@ -62,7 +63,7 @@ jobs: cp $PP_PATH ~/Library/MobileDevice/Provisioning\ Profiles - name: Set version in code (Unix) - if: matrix.os == 'macos-latest' || matrix.os == 'ubuntu-latest' + if: matrix.os == 'macos-latest' || matrix.os == 'ubuntu-latest' || matrix.os == 'macos-13' run: | awk 'NR==3{$0="__version__ = \"'${{ github.ref_name }}'\""}1' ./robusta_krr/__init__.py > temp && mv temp ./robusta_krr/__init__.py cat ./robusta_krr/__init__.py @@ -78,16 +79,26 @@ jobs: env: GITHUB_REF_NAME: ${{ github.ref_name }} + - name: Build with PyInstaller + if: matrix.os == 'macos-latest' + shell: bash + run: | + pyinstaller --target-architecture arm64 krr.py + mkdir -p ./dist/krr/grapheme/data + cp $(python -c "import grapheme; print(grapheme.__path__[0] + '/data/grapheme_break_property.json')") ./dist/krr/grapheme/data/grapheme_break_property.json + cp ./intro.txt ./dist/krr/intro.txt - name: Build with PyInstaller + if: matrix.os != 'macos-latest' shell: bash run: | pyinstaller krr.py mkdir -p ./dist/krr/grapheme/data cp $(python -c "import grapheme; print(grapheme.__path__[0] + '/data/grapheme_break_property.json')") ./dist/krr/grapheme/data/grapheme_break_property.json + cp ./intro.txt ./dist/krr/intro.txt - name: Zip the application (Unix) - if: matrix.os == 'macos-latest' || matrix.os == 'ubuntu-latest' + if: matrix.os == 'macos-latest' || matrix.os == 'ubuntu-latest' || matrix.os == 'macos-13' run: | cd dist zip -r krr-${{ matrix.os }}-${{ github.ref_name }}.zip krr @@ -113,13 +124,13 @@ jobs: asset_content_type: application/octet-stream - name: Upload build as artifact - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: krr-${{ matrix.os }}-${{ github.ref_name }} path: ./krr-${{ matrix.os }}-${{ github.ref_name }}.zip - name: Clean up keychain and provisioning profile - if: (matrix.os == 'macos-latest') && always() + if: (matrix.os == 'macos-latest' || matrix.os == 'macos-13') && always() run: | security delete-keychain $RUNNER_TEMP/app-signing.keychain-db rm ~/Library/MobileDevice/Provisioning\ Profiles/build_pp.mobileprovision @@ -148,7 +159,7 @@ jobs: - name: Checkout Repository uses: actions/checkout@v2 - name: Download MacOS artifact - uses: actions/download-artifact@v2 + uses: actions/download-artifact@v4 with: name: krr-macos-latest-${{ github.ref_name }} - name: Calculate hash @@ -166,7 +177,7 @@ jobs: - name: Checkout Repository uses: actions/checkout@v2 - name: Download Linux artifact - uses: actions/download-artifact@v2 + uses: actions/download-artifact@v4 with: name: krr-ubuntu-latest-${{ github.ref_name }} - name: Calculate hash diff --git a/.github/workflows/docker-build-on-tag.yml b/.github/workflows/docker-build-on-tag.yml index 97829f5d..617f661c 100644 --- a/.github/workflows/docker-build-on-tag.yml +++ b/.github/workflows/docker-build-on-tag.yml @@ -13,21 +13,11 @@ jobs: steps: - uses: actions/checkout@v2 - - name: Set up gcloud CLI - uses: google-github-actions/setup-gcloud@v0.2.0 + - name: Login to Docker Hub + uses: docker/login-action@v1 with: - service_account_key: ${{ secrets.GCP_SA_KEY }} - project_id: genuine-flight-317411 - export_default_credentials: true - - # Configure Docker to use the gcloud command-line tool as a credential helper for authentication - - name: Configure Docker - run: |- - gcloud auth configure-docker us-central1-docker.pkg.dev - - - name: Verify gcloud configuration - run: |- - gcloud config get-value project + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} - name: Set up Docker Buildx uses: docker/setup-buildx-action@v1 @@ -38,6 +28,32 @@ jobs: context: . platforms: linux/arm64,linux/amd64 push: true - tags: us-central1-docker.pkg.dev/genuine-flight-317411/devel/krr:${{ github.ref_name }} + tags: robustadev/krr:${{ github.ref_name }} build-args: | BUILDKIT_INLINE_CACHE=1 + + - name: Set up gcloud CLI + uses: google-github-actions/setup-gcloud@v0.2.0 + with: + service_account_key: ${{ secrets.GCP_SA_KEY }} + project_id: genuine-flight-317411 + export_default_credentials: true + + # Configure Docker to use the gcloud command-line tool as a credential helper for authentication + - name: Configure Docker + run: |- + gcloud auth configure-docker us-central1-docker.pkg.dev + + - name: Verify gcloud configuration + run: |- + gcloud config get-value project + + - name: Release Docker to old repo + run: |- + docker buildx build \ + --build-arg BUILDKIT_INLINE_CACHE=1 \ + --platform linux/arm64,linux/amd64 \ + --cache-from robustadev/krr:${{ github.ref_name }} \ + --tag us-central1-docker.pkg.dev/genuine-flight-317411/devel/krr:${{ github.ref_name }} \ + --push \ + . diff --git a/.github/workflows/update-code-version.yml b/.github/workflows/update-code-version.yml deleted file mode 100644 index bc0087da..00000000 --- a/.github/workflows/update-code-version.yml +++ /dev/null @@ -1,37 +0,0 @@ -# @format - -name: Update Version - -on: - push: - tags: - - "v*" - -jobs: - update-version: - runs-on: ubuntu-latest - - steps: - - name: Check out code - uses: actions/checkout@v2 - - - name: Extract version from tag - run: echo "VERSION=${GITHUB_REF#refs/tags/v}" >> $GITHUB_ENV - - - name: Select main branch - run: git checkout origin/main - - - name: Update version in pyproject.toml - run: | - sed -i "s/version = \".*\"/version = \"$VERSION\"/" pyproject.toml - - - name: Update version in robusta_krr/__init__.py - run: | - sed -i "s/__version__ = \".*\"/__version__ = \"$VERSION\"/" robusta_krr/__init__.py - - - name: Commit and push - run: | - git config --local user.email "action@github.com" - git config --local user.name "GitHub Action" - git add pyproject.toml robusta_krr/__init__.py - git commit -m "Update version to $VERSION" && git push diff --git a/.gitignore b/.gitignore index 8fcadc7c..a8b25487 100644 --- a/.gitignore +++ b/.gitignore @@ -132,6 +132,8 @@ dmypy.json .DS_Store robusta_lib +.idea +.vscode *.private-key.pem k8s_repo/ diff --git a/.idea/workspace.xml b/.idea/workspace.xml deleted file mode 100644 index d6f915dd..00000000 --- a/.idea/workspace.xml +++ /dev/null @@ -1,49 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 1683614225722 - - - - \ No newline at end of file diff --git a/Dockerfile b/Dockerfile index 690c80df..9b948028 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,17 +1,28 @@ # Use the official Python 3.9 slim image as the base image -FROM python:3.9-slim as builder - -# Set the working directory -WORKDIR /app +FROM python:3.12-slim as builder +ENV LANG=C.UTF-8 +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 +ENV PATH="/app/venv/bin:$PATH" # Install system dependencies required for Poetry RUN apt-get update && \ dpkg --add-architecture arm64 +# We're installing here libexpat1, to upgrade the package to include a fix to 3 high CVEs. CVE-2024-45491,CVE-2024-45490,CVE-2024-45492 +RUN apt-get update \ + && apt-get install -y --no-install-recommends libexpat1 \ + && rm -rf /var/lib/apt/lists/* + +# Set the working directory +WORKDIR /app + COPY ./requirements.txt requirements.txt +RUN pip install --no-cache-dir --upgrade pip # Install the project dependencies -RUN pip install -r requirements.txt +RUN python -m ensurepip --upgrade +RUN pip install --no-cache-dir -r requirements.txt # Copy the rest of the application code COPY . . diff --git a/README.md b/README.md index 7a181977..35ae0388 100644 --- a/README.md +++ b/README.md @@ -12,23 +12,25 @@ ![Product Name Screen Shot][product-screenshot]
-

Robusta KRR

-

- Prometheus-based Kubernetes Resource Recommendations -
+

Kubernetes Resource Recommendations Based on Historical Data

+

Get recommendations based on your existing data in Prometheus/Coralogix/Thanos/Mimir and more!

+

Installation . - Usage - · - How it works + How KRR works . Slack Integration + . + Free KRR UI
+ Usage + · Report Bug · Request Feature · Support +
Like KRR? Please ⭐ this repository to show your support!

@@ -60,19 +62,33 @@ ## About The Project -Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus and recommends requests and limits for CPU and memory. This reduces costs and improves performance. +Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for **optimizing resource allocation** in Kubernetes clusters. It gathers pod usage data from Prometheus and **recommends requests and limits** for CPU and memory. This **reduces costs and improves performance**. + +### Data Integrations + +[![Used to send data to KRR](./images/krr-datasources.svg)](#data-source-integrations) + -_Supports: [Prometheus](#prometheus-victoria-metrics-and-thanos-auto-discovery), [Thanos](#prometheus-victoria-metrics-and-thanos-auto-discovery), [Victoria Metrics](#prometheus-victoria-metrics-and-thanos-auto-discovery), [Amazon Managed Prometheus](#amazon-managed-prometheus), [Azure](#azure-managed-prometheus), [Coralogix](#coralogix-managed-prometheus) and [Grafana Cloud](#grafana-cloud-managed-prometheus)_ +_View Instructions for: [Prometheus](#prometheus-victoria-metrics-and-thanos-auto-discovery), [Thanos](#prometheus-victoria-metrics-and-thanos-auto-discovery), [Victoria Metrics](#prometheus-victoria-metrics-and-thanos-auto-discovery), [Google Managed Prometheus](./docs/google-cloud-managed-service-for-prometheus.md), [Amazon Managed Prometheus](#amazon-managed-prometheus), [Azure Managed Prometheus](#azure-managed-prometheus), [Coralogix](#coralogix-managed-prometheus),[Grafana Cloud](#grafana-cloud-managed-prometheus) and [Grafana Mimir](#grafana-mimir-auto-discovery)_ + + + +### Reporting Integrations + +[![Used to receive information from KRR](./images/krr-other-integrations.svg)](#integrations) + +_View instructions for: [Seeing recommendations in a UI](#free-ui-for-krr-recommendations), [Sending recommendations to Slack](#slack-notification), [Setting up KRR as a k9s plugin](#k9s-plugin)_ ### Features - **No Agent Required**: Run a CLI tool on your local machine for immediate results. (Or run in-cluster for weekly [Slack reports](#slack-integration).) - **Prometheus Integration**: Get recommendations based on the data you already have +- **Explainability**: [Understand how recommendations were calculated with explanation graphs](#free-krr-ui-on-robusta-saas) - **Extensible Strategies**: Easily create and use your own strategies for calculating resource recommendations. -- **Free SaaS Platform**: See why KRR recommends what it does, by using the [free Robusta SaaS platform](https://home.robusta.dev/). +- **Free SaaS Platform**: See why KRR recommends what it does, by using the [free Robusta SaaS platform](https://platform.robusta.dev/signup/?utm_source=github&utm_medium=krr-readme). - **Future Support**: Upcoming versions will support custom resources (e.g. GPUs) and custom metrics. -### Resource Allocation Statistics +### How Much Can I Expect to Save with KRR? According to a recent [Sysdig study](https://sysdig.com/blog/millions-wasted-kubernetes/), on average, Kubernetes clusters have: @@ -81,7 +97,25 @@ According to a recent [Sysdig study](https://sysdig.com/blog/millions-wasted-kub By right-sizing your containers with KRR, you can save an average of 69% on cloud costs. -Read more about [how KRR works](#how-it-works) and [KRR vs Kubernetes VPA](#difference-with-kubernetes-vpa) +Read more about [how KRR works](#how-krr-works) + +## Difference with Kubernetes VPA + +| Feature 🛠️ | Robusta KRR 🚀 | Kubernetes VPA 🌐 | +| --------------------------- | ---------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------- | +| Resource Recommendations 💡 | ✅ CPU/Memory requests and limits | ✅ CPU/Memory requests and limits | +| Installation Location 🌍 | ✅ Not required to be installed inside the cluster, can be used on your own device, connected to a cluster | ❌ Must be installed inside the cluster | +| Workload Configuration 🔧 | ✅ No need to configure a VPA object for each workload | ❌ Requires VPA object configuration for each workload | +| Immediate Results ⚡ | ✅ Gets results immediately (given Prometheus is running) | ❌ Requires time to gather data and provide recommendations | +| Reporting 📊 | ✅ Json, CSV, Markdown, [Web UI](#free-ui-for-krr-recommendations), and more! | ❌ Not supported | +| Extensibility 🔧 | ✅ Add your own strategies with few lines of Python | :warning: Limited extensibility | +| Explainability 📖 | ✅ [See graphs explaining the recommendations](#free-krr-ui-on-robusta-saas) | ❌ Not supported | +| Custom Metrics 📏 | 🔄 Support in future versions | ❌ Not supported | +| Custom Resources 🎛️ | 🔄 Support in future versions (e.g., GPU) | ❌ Not supported | +| Autoscaling 🔀 | 🔄 Support in future versions | ✅ Automatic application of recommendations | +| Default History 🕒 | 14 days | 8 days | +| Supports HPA 🔥 | ✅ Enable using `--allow-hpa` flag | ❌ Not supported | + @@ -89,9 +123,13 @@ Read more about [how KRR works](#how-it-works) and [KRR vs Kubernetes VPA](#diff ### Requirements -KRR requires you to have Prometheus. +KRR requires Prometheus 2.26+, [kube-state-metrics](https://github.com/kubernetes/kube-state-metrics) & [cAdvisor](https://github.com/google/cadvisor). -Additionally to that, [kube-state-metrics](https://github.com/kubernetes/kube-state-metrics) needs to be running on your cluster, as KRR is dependant on those metrics: +
+ Which metrics does KRR need? +No setup is required if you use kube-prometheus-stack or Robusta's Embedded Prometheus. + +If you have a different setup, make sure the following metrics exist: - `container_cpu_usage_seconds_total` - `container_memory_working_set_bytes` @@ -100,8 +138,13 @@ Additionally to that, [kube-state-metrics](https://github.com/kubernetes/kube-st - `kube_pod_status_phase` _Note: If one of last three metrics is absent KRR will still work, but it will only consider currently-running pods when calculating recommendations. Historic pods that no longer exist in the cluster will not be taken into consideration._ +
+ + +### Installation Methods -### With brew (MacOS/Linux): +
+ Brew (Mac/Linux) 1. Add our tap: @@ -115,17 +158,39 @@ brew tap robusta-dev/homebrew-krr brew install krr ``` -3. Check that installation was successfull (First launch might take a little longer): +3. Check that installation was successful: ```sh krr --help ``` -### On Windows: +4. Run KRR (first launch might take a little longer): -You can install using brew (see above) on [WSL2](https://docs.brew.sh/Homebrew-on-Linux), or install manually. +```sh +krr simple +``` +
+ +
+ Windows + +You can install using brew (see above) on [WSL2](https://docs.brew.sh/Homebrew-on-Linux), or install from source (see below). +
+ +
+ Docker image, binaries, and airgapped installation (offline environments) + +You can download pre-built binaries from Releases or use the prebuilt Docker container. For example, the container for version 1.8.3 is: -### Manual Installation +``` +us-central1-docker.pkg.dev/genuine-flight-317411/devel/krr:v1.8.3 +``` + +We do **not** recommend installing KRR from source in airgapped environments due to the headache of installing Python dependencies. Use one of the above methods instead and contact us (via Slack, GitHub issues, or email) if you need assistance. +
+ +
+ From Source 1. Make sure you have [Python 3.9](https://www.python.org/downloads/) (or greater) installed 2. Clone the repo: @@ -150,89 +215,182 @@ python krr.py --help Notice that using source code requires you to run as a python script, when installing with brew allows to run `krr`. All above examples show running command as `krr ...`, replace it with `python krr.py ...` if you are using a manual installation. +
+ +### Additional Options + +- [View KRR Reports in a Web UI](#free-ui-for-krr-recommendations) +- [Receive KRR Reports Weekly in Slack](#slack-notification) + +### Environment-Specific Instructions +Setup KRR for... +- [Google Cloud Managed Prometheus](./docs/google-cloud-managed-service-for-prometheus.md) +- [Azure Managed Prometheus](#azure-managed-prometheus) +- [Amazon Managed Prometheus](#amazon-managed-prometheus) +- [Coralogix Managed Prometheus](#coralogix-managed-prometheus) +- [Grafana Cloud Managed Prometheus](#grafana-cloud-managed-prometheus) +- [Grafana Mimir](#grafana-mimir-auto-discovery) +

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-### Other Configuration Methods -- [View KRR Reports in a Web UI](#optional-free-saas-platform) -- [Get a Weekly Message in Slack with KRR Recommendations](#slack-integration) -- Setup KRR on [Google Cloud Managed Prometheus - ](./docs/google-cloud-managed-service-for-prometheus.md) -- Setup KRR for [Azure managed Prometheus](#azure-managed-prometheus) +**Trusting custom Certificate Authority (CA) certificate:** + +If your llm provider url uses a certificate from a custom CA, in order to trust it, base-64 encode the certificate, and store it in an environment variable named ``CERTIFICATE`` + +## Free KRR UI on Robusta SaaS + +We highly recommend using the [free Robusta SaaS platform](https://platform.robusta.dev/signup/?utm_source=github&utm_medium=krr-readme). You can: + +- Understand individual app recommendations with app usage history +- Sort and filter recommendations by namespace, priority, and more +- Give devs a YAML snippet to fix the problems KRR finds +- Analyze impact using KRR scan history + + + + + ## Usage -Straightforward usage, to run the simple strategy: +
+ Basic usage ```sh krr simple ``` +
+ +
+ Tweak the recommendation algorithm (strategy) + +Most helpful flags: + +- `--cpu-min` Sets the minimum recommended cpu value in millicores +- `--mem-min` Sets the minimum recommended memory value in MB +- `--history_duration` The duration of the Prometheus history data to use (in hours) + +More specific information on Strategy Settings can be found using + +```sh +krr simple --help +``` +
+ +
+ Giving an Explicit Prometheus URL + +If your Prometheus is not auto-connecting, you can use `kubectl port-forward` for manually forwarding Prometheus. -If you want only specific namespaces (default and ingress-nginx): +For example, if you have a Prometheus Pod called `kube-prometheus-st-prometheus-0`, then run this command to port-forward it: ```sh -krr simple -n default -n ingress-nginx +kubectl port-forward pod/kube-prometheus-st-prometheus-0 9090 ``` -Filtering by labels (more info [here](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#api)): +Then, open another terminal and run krr in it, giving an explicit Prometheus url: ```sh -python krr.py simple --selector 'app.kubernetes.io/instance in (robusta, ingress-nginx)' +krr simple -p http://127.0.0.1:9090 ``` +
-By default krr will run in the current context. If you want to run it in a different context: +
+ Run on specific namespaces + +List as many namespaces as you want with `-n` (in this case, `default` and `ingress-nginx`) ```sh -krr simple -c my-cluster-1 -c my-cluster-2 +krr simple -n default -n ingress-nginx ``` -If you want to get the output in JSON format (--logtostderr is required so no logs go to the result file): +The -n flag also supports regex matches like -n kube-.*. To use regexes, you must have permissions to list namespaces in the target cluster. ```sh -krr simple --logtostderr -f json > result.json +krr simple -n default -n 'ingress-.*' ``` -If you want to get the output in YAML format: +See [example ServiceAccount and RBAC permissions](./tests/single_namespace_permissions.yaml) +
+ +
+ Run on workloads filtered by label + +Use a label selector ```sh -krr simple --logtostderr -f yaml > result.yaml +python krr.py simple --selector 'app.kubernetes.io/instance in (robusta, ingress-nginx)' ``` +
-If you want to see additional debug logs: +
+ Override the kubectl context + +By default krr will run in the current context. If you want to run it in a different context: ```sh -krr simple -v +krr simple -c my-cluster-1 -c my-cluster-2 ``` -Other helpful flags: +
-- `--cpu-min` Sets the minimum recommended cpu value in millicores -- `--mem-min` Sets the minimum recommended memory value in MB -- `--history_duration` The duration of the prometheus history data to use (in hours) +
+ Output formats for reporting (JSON, YAML, CSV, and more) -More specific information on Strategy Settings can be found using +Currently KRR ships with a few formatters to represent the scan data: + +- `table` - a pretty CLI table used by default, powered by [Rich](https://github.com/Textualize/rich) library +- `json` +- `yaml` +- `pprint` - data representation from python's pprint library +- `csv` - export data to a csv file in the current directory +- `html` + +To run a strategy with a selected formatter, add a `-f` flag. Usually this should be combined with `--fileoutput ` to write clean output to file without logs: ```sh -krr simple --help +krr simple -f json --fileoutput krr-report.json ``` -

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+If you prefer, you can also use `--logtostderr` to get clean formatted output in one file and error logs in another: -## Optional: Free SaaS Platform +```sh +krr simple --logtostderr -f json > result.json 2> logs-and-errors.log +``` +
-With the [free Robusta SaaS platform](https://home.robusta.dev/) you can: +
+ Centralized Prometheus (multi-cluster) +

See below on filtering output from a centralized prometheus, so it matches only one cluster

-- See why KRR recommends what it does -- Sort and filter recommendations by namespace, priority, and more -- Copy a YAML snippet to fix the problems KRR finds +
+ +
+ Prometheus Authentication + +KRR supports all known authentication schemes for Prometheus, VictoriaMetrics, Coralogix, and other Prometheus compatible metric stores. + +Refer to `krr simple --help`, and look at the flags `--prometheus-url`, `--prometheus-auth-header`, `--prometheus-headers` `--prometheus-ssl-enabled`, `--coralogix-token`, and the various `--eks-*` flags. -![Robusta UI Screen Shot][ui-screenshot] +If you need help, contact us on Slack, email, or by opening a GitHub issue. +
+ +
+ Debug mode +If you want to see additional debug logs: + +```sh +krr simple -v +``` + +

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-## How it works +## How KRR works ### Metrics Gathering @@ -252,87 +410,38 @@ Robusta KRR uses the following Prometheus queries to gather usage data: [_Need to customize the metrics? Tell us and we'll add support._](https://github.com/robusta-dev/krr/issues/new) -Get a free breakdown of KRR recommendations in the [Robusta SaaS](#optional-free-saas-platform). +Get a free breakdown of KRR recommendations in the [Robusta SaaS](#free-krr-ui-on-robusta-saas). ### Algorithm By default, we use a _simple_ strategy to calculate resource recommendations. It is calculated as follows (_The exact numbers can be customized in CLI arguments_): -- For CPU, we set a request at the 99th percentile with no limit. Meaning, in 99% of the cases, your CPU request will be sufficient. For the remaining 1%, we set no limit. This means your pod can burst and use any CPU available on the node - e.g. CPU that other pods requested but aren’t using right now. +- For CPU, we set a request at the 95th percentile with no limit. Meaning, in 95% of the cases, your CPU request will be sufficient. For the remaining 5%, we set no limit. This means your pod can burst and use any CPU available on the node - e.g. CPU that other pods requested but aren’t using right now. -- For memory, we take the maximum value over the past week and add a 5% buffer. +- For memory, we take the maximum value over the past week and add a 15% buffer. ### Prometheus connection -Find about how KRR tries to find the default prometheus to connect here. +Find about how KRR tries to find the default Prometheus to connect here.

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-## Difference with Kubernetes VPA - -| Feature 🛠️ | Robusta KRR 🚀 | Kubernetes VPA 🌐 | -| --------------------------- | ---------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------- | -| Resource Recommendations 💡 | ✅ CPU/Memory requests and limits | ✅ CPU/Memory requests and limits | -| Installation Location 🌍 | ✅ Not required to be installed inside the cluster, can be used on your own device, connected to a cluster | ❌ Must be installed inside the cluster | -| Workload Configuration 🔧 | ✅ No need to configure a VPA object for each workload | ❌ Requires VPA object configuration for each workload | -| Immediate Results ⚡ | ✅ Gets results immediately (given Prometheus is running) | ❌ Requires time to gather data and provide recommendations | -| Reporting 📊 | ✅ Detailed CLI Report, web UI in [Robusta.dev](https://home.robusta.dev/) | ❌ Not supported | -| Extensibility 🔧 | ✅ Add your own strategies with few lines of Python | :warning: Limited extensibility | -| Custom Metrics 📏 | 🔄 Support in future versions | ❌ Not supported | -| Custom Resources 🎛️ | 🔄 Support in future versions (e.g., GPU) | ❌ Not supported | -| Explainability 📖 | 🔄 Support in future versions (Robusta will send you additional graphs) | ❌ Not supported | -| Autoscaling 🔀 | 🔄 Support in future versions | ✅ Automatic application of recommendations | -## Slack integration - -Put cost savings on autopilot. Get notified in Slack about recommendations above X%. Send a weekly global report, or one report per team. - -![Slack Screen Shot][slack-screenshot] - -### Prerequisites - -- A Slack workspace - -### Setup - -1. [Install Robusta with Helm to your cluster and configure slack](https://docs.robusta.dev/master/installation.html) -2. Create your KRR slack playbook by adding the following to `generated_values.yaml`: - -``` -customPlaybooks: -# Runs a weekly krr scan on the namespace devs-namespace and sends it to the configured slack channel -customPlaybooks: -- triggers: - - on_schedule: - fixed_delay_repeat: - repeat: -1 # number of times to run or -1 to run forever - seconds_delay: 604800 # 1 week - actions: - - krr_scan: - args: "--namespace devs-namespace" ## KRR args here - sinks: - - "main_slack_sink" # slack sink you want to send the report to here -``` - -3. Do a Helm upgrade to apply the new values: `helm upgrade robusta robusta/robusta --values=generated_values.yaml --set clusterName=` - -

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- -## Prometheus, Victoria Metrics and Thanos auto-discovery +## Data Source Integrations +
Prometheus, Victoria Metrics and Thanos auto-discovery By default, KRR will try to auto-discover the running Prometheus Victoria Metrics and Thanos. -For discovering prometheus it scan services for those labels: +For discovering Prometheus it scans services for those labels: ```python "app=kube-prometheus-stack-prometheus" "app=prometheus,component=server" "app=prometheus-server" "app=prometheus-operator-prometheus" -"app=prometheus-msteams" "app=rancher-monitoring-prometheus" "app=prometheus-prometheus" ``` @@ -359,37 +468,26 @@ If none of those labels result in finding Prometheus, Victoria Metrics or Thanos

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-## Example of using port-forward for Prometheus +
-If your prometheus is not auto-connecting, you can use `kubectl port-forward` for manually forwarding Prometheus. - -For example, if you have a Prometheus Pod called `kube-prometheus-st-prometheus-0`, then run this command to port-forward it: +
+Scanning with a Centralized Prometheus -```sh -kubectl port-forward pod/kube-prometheus-st-prometheus-0 9090 -``` +If your Prometheus monitors multiple clusters we require the label you defined for your cluster in Prometheus. -Then, open another terminal and run krr in it, giving an explicit prometheus url: +For example, if your cluster has the Prometheus label `cluster: "my-cluster-name"`, then run this command: ```sh -krr simple -p http://127.0.0.1:9090 +krr.py simple --prometheus-label cluster -l my-cluster-name ``` -

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- -## Scanning with a centralized Prometheus - -If your Prometheus monitors multiple clusters we require the label you defined for your cluster in Prometheus. - -For example, if your cluster has the Prometheus label `cluster: "my-cluster-name"` and your prometheus is at url `http://my-centralized-prometheus:9090`, then run this command: +You may also need the `-p` flag to explicitly give Prometheus' URL. -```sh -krr.py simple -p http://my-centralized-prometheus:9090 --prometheus-label cluster -l my-cluster-name -``` +
-

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-## Azure managed Prometheus +
+Azure Managed Prometheus For Azure managed Prometheus you need to generate an access token, which can be done by running the following command: @@ -409,9 +507,21 @@ python krr.py simple --namespace default -p PROMETHEUS_URL --prometheus-auth-hea

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-## Amazon Managed Prometheus +
+ +
+Google Managed Prometheus (GMP) + +Please find the detailed GMP usage instructions [here](https://github.com/robusta-dev/krr/blob/main/docs/google-cloud-managed-service-for-prometheus.md) + +

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-For Amazon Managed Prometheus you need to add your prometheus link and the flag --eks-managed-prom and krr will automatically use your aws credentials +
+ +
+Amazon Managed Prometheus + +For Amazon Managed Prometheus you need to add your Prometheus link and the flag --eks-managed-prom and krr will automatically use your aws credentials ```sh python krr.py simple -p "https://aps-workspaces.REGION.amazonaws.com/workspaces/..." --eks-managed-prom @@ -424,16 +534,19 @@ Additional optional parameters are: --eks-access-key ACCESS_KEY # to specify your access key --eks-secret-key SECRET_KEY # to specify your secret key --eks-service-name SERVICE_NAME # to use a specific service name in the signature ---eks-managed-prom-region REGION_NAME # to specify the region the prometheus is in +--eks-managed-prom-region REGION_NAME # to specify the region the Prometheus is in ```

See here about configuring labels for centralized prometheus

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+
-## Coralogix managed Prometheus -For Coralogix managed Prometheus you need to specify your prometheus link and add the flag coralogix_token with your Logs Query Key +
+Coralogix Managed Prometheus + +For Coralogix managed Prometheus you need to specify your Prometheus link and add the flag coralogix_token with your Logs Query Key ```sh python krr.py simple -p "https://prom-api.coralogix..." --coralogix_token @@ -442,12 +555,14 @@ python krr.py simple -p "https://prom-api.coralogix..." --coralogix_token

See here about configuring labels for centralized prometheus

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+
-## Grafana Cloud managed Prometheus +
+Grafana Cloud Managed Prometheus -For Grafana Cloud managed Prometheus you need to specify prometheus link, prometheus user, and an access token of your Grafana Cloud stack. The Prometheus link and user for the stack can be found on the Grafana Cloud Portal. An access token with a `metrics:read` scope can also be created using Access Policies on the same portal. +For Grafana Cloud managed Prometheus you need to specify Prometheus link, Prometheus user, and an access token of your Grafana Cloud stack. The Prometheus link and user for the stack can be found on the Grafana Cloud Portal. An access token with a `metrics:read` scope can also be created using Access Policies on the same portal. -Next, run the following command, after setting the values of PROM_URL, PROM_USER, and PROM_TOKEN variables with your Grafana Cloud stack's prometheus link, prometheus user, and access token. +Next, run the following command, after setting the values of PROM_URL, PROM_USER, and PROM_TOKEN variables with your Grafana Cloud stack's Prometheus link, Prometheus user, and access token. ```sh python krr.py simple -p $PROM_URL --prometheus-auth-header "Bearer ${PROM_USER}:${PROM_TOKEN}" --prometheus-ssl-enabled @@ -457,26 +572,88 @@ python krr.py simple -p $PROM_URL --prometheus-auth-header "Bearer ${PROM_USER}:

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- +
-## Available formatters +
+ Grafana Mimir auto-discovery -Currently KRR ships with a few formatters to represent the scan data: +By default, KRR will try to auto-discover the running Grafana Mimir. -- `table` - a pretty CLI table used by default, powered by [Rich](https://github.com/Textualize/rich) library -- `json` -- `yaml` -- `pprint` - data representation from python's pprint library +For discovering Prometheus it scans services for those labels: +```python + "app.kubernetes.io/name=mimir,app.kubernetes.io/component=query-frontend" +``` -To run a strategy with a selected formatter, add a `-f` flag: +

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+ +
+ +## Integrations + +
+Free UI for KRR recommendations + +We highly recommend using the [free Robusta SaaS platform](https://platform.robusta.dev/signup/?utm_source=github&utm_medium=krr-readme). You can: + +- Understand individual app recommendations with app usage history +- Sort and filter recommendations by namespace, priority, and more +- Give dev's a YAML snippet to fix the problems KRR finds +- Analyze impact using KRR scan history + + + + + +
+ +
+Slack Notification + +Put cost savings on autopilot. Get notified in Slack about recommendations above X%. Send a weekly global report, or one report per team. + +![Slack Screen Shot][slack-screenshot] + +### Prerequisites + +- A Slack workspace + +### Setup + +1. [Install Robusta with Helm to your cluster and configure slack](https://docs.robusta.dev/master/installation.html) +2. Create your KRR slack playbook by adding the following to `generated_values.yaml`: -```sh -krr simple -f json +``` +customPlaybooks: +# Runs a weekly krr scan on the namespace devs-namespace and sends it to the configured slack channel +customPlaybooks: +- triggers: + - on_schedule: + fixed_delay_repeat: + repeat: -1 # number of times to run or -1 to run forever + seconds_delay: 604800 # 1 week + actions: + - krr_scan: + args: "--namespace devs-namespace" ## KRR args here + sinks: + - "main_slack_sink" # slack sink you want to send the report to here ``` +3. Do a Helm upgrade to apply the new values: `helm upgrade robusta robusta/robusta --values=generated_values.yaml --set clusterName=` + +

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- +
+ +
+k9s Plugin + + Install our k9s Plugin to get recommendations directly in deployments/daemonsets/statefulsets views. + + Plugin: [resource recommender](https://github.com/derailed/k9s/blob/master/plugins/resource-recommendations.yaml) + + Installation instructions: [k9s docs](https://k9scli.io/topics/plugins/) +
## Creating a Custom Strategy/Formatter @@ -492,7 +669,7 @@ _We use pytest to run tests._ 1. Install the project manually (see above) 2. Navigate to the project root directory -3. Install poetry (https://python-poetry.org/docs/#installing-with-the-official-installer) +3. Install [poetry](https://python-poetry.org/docs/#installing-with-the-official-installer) 4. Install dev dependencies: ```sh diff --git a/argyle_recommender/recommender.py b/argyle_recommender/recommender.py index d03f5801..2cb6cead 100755 --- a/argyle_recommender/recommender.py +++ b/argyle_recommender/recommender.py @@ -29,6 +29,7 @@ from robusta_krr.formatters.table import table, NAN_LITERAL from robusta_krr.core.models.result import Result +from robusta_krr.core.models.config import Config from robusta_krr.utils import resource_units WORKLOADS = ["Deployment", "Rollout", "Job", "DaemonSet", "StatefulSet", "CronJob"] @@ -127,10 +128,16 @@ def get_krr_json(label, namespace="*", prometheus=None, context=None, app_name=N raise assert results try: + results["config"]["resources"] = [] + results["config"]["show_cluster_name"] = True + config = Config(**results["config"]) + Config.set_config(config) + results = Result(**results) except Exception as e: - log.error(results) - log.error(e) + log.info(results) + log.exception("Error in parsing results", stack_info=True) + raise e return results @@ -152,6 +159,13 @@ def find_recommendations(build_yaml_path, namespace_flag, prometheus, context=No doc = docs[0] app_name = doc["metadata"].get("name") labels = doc["metadata"].get("labels") + if labels is None: + # TODO: add a dummy result with info error so it shows up in the table + log.warning("No labels found for %s. Please add an app label", + doc["metadata"]["name"]) + docs.pop(0) + continue + label = None label_name = None for label_name in [ @@ -649,7 +663,8 @@ def main(path: Annotated[str, typer.Argument], prometheus: Annotated[Optional[str], typer.Option("--prometheus", "-p")] = None, context: Annotated[Optional[str], typer.Option("--context", "-c")] = None, incluster: Annotated[Optional[bool], typer.Option("--incluster")] = False, - clean_resources_flag: Annotated[bool, typer.Option("--clean-resources")] = False + clean_resources_flag: Annotated[bool, typer.Option("--clean-resources")] = False, + debug: Annotated[bool, typer.Option("--debug")] = False, ): key_file = os.environ.get("PRIVATE_KEY_FILE") diff --git a/docker/aws.Dockerfile b/docker/aws.Dockerfile index 13d79b8d..7a529344 100644 --- a/docker/aws.Dockerfile +++ b/docker/aws.Dockerfile @@ -11,7 +11,7 @@ RUN apt-get update && \ COPY ./requirements.txt requirements.txt # Install the project dependencies -RUN pip install -r requirements.txt +RUN pip install --no-cache-dir -r requirements.txt # Install curl and unzip for awscli RUN apt-get -y update; apt-get -y install curl; apt-get -y install unzip diff --git a/examples/custom_strategy.py b/examples/custom_strategy.py index c3623ef6..f9e281d1 100644 --- a/examples/custom_strategy.py +++ b/examples/custom_strategy.py @@ -5,7 +5,7 @@ import robusta_krr from robusta_krr.api.models import K8sObjectData, MetricsPodData, ResourceRecommendation, ResourceType, RunResult from robusta_krr.api.strategies import BaseStrategy, StrategySettings -from robusta_krr.core.integrations.prometheus.metrics import MaxCPULoader, MaxMemoryLoader +from robusta_krr.core.integrations.prometheus.metrics import MaxMemoryLoader, PercentileCPULoader # Providing description to the settings will make it available in the CLI help @@ -22,7 +22,7 @@ class CustomStrategy(BaseStrategy[CustomStrategySettings]): display_name = "custom" # The name of the strategy rich_console = True # Whether to use rich console for the CLI - metrics = [MaxCPULoader, MaxMemoryLoader] # The metrics to use for the strategy + metrics = [PercentileCPULoader(90), MaxMemoryLoader] # The metrics to use for the strategy def run(self, history_data: MetricsPodData, object_data: K8sObjectData) -> RunResult: return { diff --git a/images/krr-datasources.png b/images/krr-datasources.png new file mode 100644 index 00000000..d198454c Binary files /dev/null and b/images/krr-datasources.png differ diff --git a/images/krr-datasources.svg b/images/krr-datasources.svg new file mode 100644 index 00000000..e99e9b03 --- /dev/null +++ b/images/krr-datasources.svg @@ -0,0 +1,85 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/images/krr-other-integrations.png b/images/krr-other-integrations.png new file mode 100644 index 00000000..a342af24 Binary files /dev/null and b/images/krr-other-integrations.png differ diff --git a/images/krr-other-integrations.svg b/images/krr-other-integrations.svg new file mode 100644 index 00000000..f9d72e94 --- /dev/null +++ b/images/krr-other-integrations.svg @@ -0,0 +1,37 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/robusta_krr/utils/logo.py b/intro.txt similarity index 57% rename from robusta_krr/utils/logo.py rename to intro.txt index 6beb0875..4fe39f54 100644 --- a/robusta_krr/utils/logo.py +++ b/intro.txt @@ -1,4 +1,3 @@ -ASCII_LOGO = r""" [bold magenta] _____ _ _ _ _______ _____ | __ \ | | | | | |/ / __ \| __ \ @@ -6,6 +5,11 @@ | _ // _ \| '_ \| | | / __| __/ _` | | < | _ /| _ / | | \ \ (_) | |_) | |_| \__ \ || (_| | | . \| | \ \| | \ \ |_| \_\___/|_.__/ \__,_|___/\__\__,_| |_|\_\_| \_\_| \_\ -[/bold magenta] -""" + +Thanks for using Robusta KRR. If you have any questions or feedback, please feel free to reach out to us at +https://github.com/robusta-dev/krr/issues + +Watch our latest video to optimize your workloads and save costs: https://www.youtube.com/watch?v=TYRA2QcDIuI + +[/bold magenta] \ No newline at end of file diff --git a/krr.py b/krr.py index 3c7ac1ea..319ee615 100644 --- a/krr.py +++ b/krr.py @@ -1,3 +1,15 @@ +import os + +from robusta_krr.common.ssl_utils import add_custom_certificate + +ADDITIONAL_CERTIFICATE: str = os.environ.get("CERTIFICATE", "") + +if add_custom_certificate(ADDITIONAL_CERTIFICATE): + print("added custom certificate") + +# DO NOT ADD ANY CODE ABOVE THIS +# ADDING IMPORTS BEFORE ADDING THE CUSTOM CERTS MIGHT INIT HTTP CLIENTS THAT DOESN'T RESPECT THE CUSTOM CERT + from robusta_krr import run if __name__ == "__main__": diff --git a/poetry.lock b/poetry.lock index bf740f93..5ad2c9f9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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"^2.1.1" diff --git a/requirements.txt b/requirements.txt index 646fc560..165f962d 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,57 +1,55 @@ -about-time==4.2.1 ; python_version >= "3.9" and python_version < "3.12" -aiostream==0.4.5 ; python_version >= "3.9" and python_version < "3.12" -alive-progress==3.1.2 ; python_version >= "3.9" and python_version < "3.12" -boto3==1.28.21 ; python_version >= "3.9" and python_version < "3.12" -botocore==1.31.21 ; python_version >= "3.9" and python_version < "3.12" -cachetools==5.3.0 ; python_version >= "3.9" and python_version < "3.12" -certifi==2022.12.7 ; python_version >= "3.9" and python_version < "3.12" -charset-normalizer==3.0.1 ; python_version >= "3.9" and python_version < "3.12" -click==8.1.3 ; python_version >= "3.9" and python_version < "3.12" -colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.12" and platform_system == "Windows" -commonmark==0.9.1 ; python_version >= "3.9" and python_version < "3.12" -contourpy==1.0.7 ; python_version >= "3.9" and python_version < "3.12" -cycler==0.11.0 ; python_version >= "3.9" and python_version < "3.12" -dateparser==1.1.7 ; python_version >= "3.9" and python_version < "3.12" -fonttools==4.39.0 ; python_version >= "3.9" and python_version < "3.12" -google-auth==2.16.2 ; python_version >= "3.9" and python_version < "3.12" -grapheme==0.6.0 ; python_version >= "3.9" and python_version < "3.12" -httmock==1.4.0 ; python_version >= "3.9" and python_version < "3.12" -idna==3.4 ; python_version >= "3.9" and python_version < "3.12" -importlib-resources==5.12.0 ; python_version >= "3.9" and python_version < "3.10" -jmespath==1.0.1 ; python_version >= "3.9" and python_version < "3.12" -kiwisolver==1.4.4 ; python_version >= "3.9" and python_version < "3.12" -kubernetes==26.1.0 ; python_version >= "3.9" and python_version < "3.12" -matplotlib==3.7.1 ; python_version >= "3.9" and python_version < "3.12" -numpy==1.24.2 ; python_version >= "3.9" and python_version < "3.12" -oauthlib==3.2.2 ; python_version >= "3.9" and python_version < "3.12" -packaging==23.0 ; python_version >= "3.9" and python_version < "3.12" -pandas==1.5.3 ; python_version >= "3.9" and python_version < "3.12" -pillow==9.4.0 ; python_version >= "3.9" and python_version < "3.12" -prometheus-api-client==0.5.3 ; python_version >= "3.9" and python_version < "3.12" -prometrix==0.1.10 ; python_version >= "3.9" and python_version < "3.12" -pyasn1-modules==0.2.8 ; python_version >= "3.9" and python_version < "3.12" -pyasn1==0.4.8 ; python_version >= "3.9" and python_version < "3.12" -pydantic==1.10.7 ; python_version >= "3.9" and python_version < "3.12" -pygments==2.14.0 ; python_version >= "3.9" and python_version < "3.12" -pyparsing==3.0.9 ; python_version >= "3.9" and python_version < "3.12" -python-dateutil==2.8.2 ; python_version >= "3.9" and python_version < "3.12" -pytz-deprecation-shim==0.1.0.post0 ; python_version >= "3.9" and python_version < "3.12" -pytz==2022.7.1 ; python_version >= "3.9" and python_version < "3.12" -pyyaml==6.0 ; python_version >= "3.9" and python_version < "3.12" -regex==2022.10.31 ; python_version >= "3.9" and python_version < "3.12" -requests-oauthlib==1.3.1 ; python_version >= "3.9" and python_version < "3.12" -requests==2.28.2 ; python_version >= "3.9" and python_version < "3.12" -rich==12.6.0 ; python_version >= "3.9" and python_version < "3.12" -rsa==4.9 ; python_version >= "3.9" and python_version < "3.12" -s3transfer==0.6.1 ; python_version >= "3.9" and python_version < "3.12" -setuptools==67.4.0 ; python_version >= "3.9" and python_version < "3.12" -shellingham==1.5.0.post1 ; python_version >= "3.9" and python_version < "3.12" -six==1.16.0 ; python_version >= "3.9" and python_version < "3.12" -slack-sdk==3.21.3 ; python_version >= "3.9" and python_version < "3.12" -typer[all]==0.7.0 ; python_version >= "3.9" and python_version < "3.12" -typing-extensions==4.5.0 ; python_version >= "3.9" and python_version < "3.12" -tzdata==2022.7 ; python_version >= "3.9" and python_version < "3.12" -tzlocal==4.2 ; python_version >= "3.9" and python_version < "3.12" -urllib3==1.26.14 ; python_version >= "3.9" and python_version < "3.12" -websocket-client==1.5.1 ; python_version >= "3.9" and python_version < "3.12" -zipp==3.15.0 ; python_version >= "3.9" and python_version < "3.10" +about-time==4.2.1 ; python_version >= "3.9" and python_full_version < "3.13" +alive-progress==3.1.5 ; python_version >= "3.9" and python_full_version < "3.13" +boto3==1.34.62 ; python_version >= "3.9" and python_full_version < "3.13" +botocore==1.34.62 ; python_version >= "3.9" and python_full_version < "3.13" +cachetools==5.3.3 ; python_version >= "3.9" and python_full_version < "3.13" +certifi==2024.2.2 ; python_version >= "3.9" and python_full_version < "3.13" +charset-normalizer==3.3.2 ; python_version >= "3.9" and python_full_version < "3.13" +click==8.1.7 ; python_version >= "3.9" and python_full_version < "3.13" +colorama==0.4.6 ; python_version >= "3.9" and python_full_version < "3.13" +commonmark==0.9.1 ; python_version >= "3.9" and python_full_version < "3.13" +contourpy==1.2.0 ; python_version >= "3.9" and python_full_version < "3.13" +cycler==0.12.1 ; python_version >= "3.9" and python_full_version < "3.13" +dateparser==1.2.0 ; python_version >= "3.9" and python_full_version < "3.13" +fonttools==4.49.0 ; python_version >= "3.9" and python_full_version < "3.13" +google-auth==2.28.2 ; python_version >= "3.9" and python_full_version < "3.13" +grapheme==0.6.0 ; python_version >= "3.9" and python_full_version < "3.13" +httmock==1.4.0 ; python_version >= "3.9" and python_full_version < "3.13" +idna==3.7 ; python_version >= "3.9" and python_full_version < "3.13" +importlib-resources==6.3.0 ; python_version >= "3.9" and python_version < "3.10" +jmespath==1.0.1 ; python_version >= "3.9" and python_full_version < "3.13" +kiwisolver==1.4.5 ; python_version >= "3.9" and python_full_version < "3.13" +kubernetes==26.1.0 ; python_version >= "3.9" and python_full_version < "3.13" +matplotlib==3.8.3 ; python_version >= "3.9" and python_full_version < "3.13" +numpy==1.26.4 ; python_version >= "3.9" and python_full_version < "3.13" +oauthlib==3.2.2 ; python_version >= "3.9" and python_full_version < "3.13" +packaging==24.0 ; python_version >= "3.9" and python_full_version < "3.13" +pandas==2.2.2 ; python_version >= "3.9" and python_full_version < "3.13" +pillow==10.3.0 ; python_version >= "3.9" and python_full_version < "3.13" +prometheus-api-client==0.5.3 ; python_version >= "3.9" and python_full_version < "3.13" +prometrix==0.1.17 ; python_version >= "3.9" and python_full_version < "3.13" +pyasn1-modules==0.3.0 ; python_version >= "3.9" and python_full_version < "3.13" +pyasn1==0.5.1 ; python_version >= "3.9" and python_full_version < "3.13" +pydantic==1.10.15 ; python_version >= "3.9" and python_full_version < "3.13" +pygments==2.17.2 ; python_version >= "3.9" and python_full_version < "3.13" +pyparsing==3.1.2 ; python_version >= "3.9" and python_full_version < "3.13" +python-dateutil==2.9.0.post0 ; python_version >= "3.9" and python_full_version < "3.13" +pytz==2024.1 ; python_version >= "3.9" and python_full_version < "3.13" +pyyaml==6.0.1 ; python_version >= "3.9" and python_full_version < "3.13" +regex==2023.12.25 ; python_version >= "3.9" and python_full_version < "3.13" +requests-oauthlib==1.4.0 ; python_version >= "3.9" and python_full_version < "3.13" +requests==2.32.0 ; python_version >= "3.9" and python_full_version < "3.13" +rich==12.6.0 ; python_version >= "3.9" and python_full_version < "3.13" +rsa==4.9 ; python_version >= "3.9" and python_full_version < "3.13" +s3transfer==0.10.0 ; python_version >= "3.9" and python_full_version < "3.13" +setuptools==70.3.0 ; python_version >= "3.9" and python_full_version < "3.13" +shellingham==1.5.4 ; python_version >= "3.9" and python_full_version < "3.13" +six==1.16.0 ; python_version >= "3.9" and python_full_version < "3.13" +slack-sdk==3.27.1 ; python_version >= "3.9" and python_full_version < "3.13" +typer[all]==0.7.0 ; python_version >= "3.9" and python_full_version < "3.13" +typing-extensions==4.6.0 ; python_version >= "3.9" and python_full_version < "3.13" +tzdata==2024.1 ; python_version >= "3.9" and python_full_version < "3.13" +tzlocal==5.2 ; python_version >= "3.9" and python_full_version < "3.13" +urllib3==1.26.19 ; python_version >= "3.9" and python_full_version < "3.13" +websocket-client==1.7.0 ; python_version >= "3.9" and python_full_version < "3.13" +zipp==3.19.2 ; python_version >= "3.9" and python_version < "3.13" diff --git a/robusta_krr/__init__.py b/robusta_krr/__init__.py index 777c8727..c428657b 100644 --- a/robusta_krr/__init__.py +++ b/robusta_krr/__init__.py @@ -1,4 +1,4 @@ from .main import run -__version__ = "1.6.0-dev" +__version__ = "dev" __all__ = ["run", "__version__"] diff --git a/robusta_krr/common/ssl_utils.py b/robusta_krr/common/ssl_utils.py new file mode 100644 index 00000000..fd77d610 --- /dev/null +++ b/robusta_krr/common/ssl_utils.py @@ -0,0 +1,40 @@ +import base64 +import os + +import certifi + +CUSTOM_CERTIFICATE_PATH = "/tmp/custom_ca.pem" + + +def append_custom_certificate(custom_ca: str) -> None: + with open(certifi.where(), "ab") as outfile: + outfile.write(base64.b64decode(custom_ca)) + + os.environ["WEBSOCKET_CLIENT_CA_BUNDLE"] = certifi.where() + + +def create_temporary_certificate(custom_ca: str) -> None: + with open(certifi.where(), "rb") as base_cert: + base_cert_content = base_cert.read() + + with open(CUSTOM_CERTIFICATE_PATH, "wb") as outfile: + outfile.write(base_cert_content) + outfile.write(base64.b64decode(custom_ca)) + + os.environ["REQUESTS_CA_BUNDLE"] = CUSTOM_CERTIFICATE_PATH + os.environ["WEBSOCKET_CLIENT_CA_BUNDLE"] = CUSTOM_CERTIFICATE_PATH + certifi.where = lambda: CUSTOM_CERTIFICATE_PATH + + +def add_custom_certificate(custom_ca: str) -> bool: + if not custom_ca: + return False + + # NOTE: Sometimes (Openshift) the certifi.where() is not writable, so we need to + # use a temporary file in case of PermissionError. + try: + append_custom_certificate(custom_ca) + except PermissionError: + create_temporary_certificate(custom_ca) + + return True diff --git a/robusta_krr/core/abstract/strategies.py b/robusta_krr/core/abstract/strategies.py index 204341fe..b63b2cc7 100644 --- a/robusta_krr/core/abstract/strategies.py +++ b/robusta_krr/core/abstract/strategies.py @@ -28,7 +28,7 @@ class ResourceRecommendation(pd.BaseModel): request: Optional[float] limit: Optional[float] info: Optional[str] = pd.Field( - None, description="Additional information about the recommendation. Currently used to explain undefined." + None, description="Additional information about the recommendation." ) @classmethod @@ -59,6 +59,11 @@ def history_timedelta(self) -> datetime.timedelta: def timeframe_timedelta(self) -> datetime.timedelta: return datetime.timedelta(minutes=self.timeframe_duration) + def history_range_enough(self, history_range: tuple[datetime.timedelta, datetime.timedelta]) -> bool: + """Override this function to check if the history range is enough for the strategy.""" + + return True + # A type alias for a numpy array of shape (N, 2). ArrayNx2 = Annotated[NDArray[np.float64], Literal["N", 2]] @@ -106,24 +111,15 @@ def __init__(self, settings: _StrategySettings): self.settings = settings def __str__(self) -> str: - return self._display_name.title() - - @property - def _display_name(self) -> str: - return getattr(self, "display_name", self.__class__.__name__.lower().removeprefix("strategy")) + return self.display_name.title() @property def description(self) -> Optional[str]: """ Generate a description for the strategy. - You can use the settings in the description by using the format syntax. - Also you can use Rich's markdown syntax to format the description. + You can use Rich's markdown syntax to format the description. """ - - if self.__doc__ is None: - return None - - return f"[b]{self} Strategy[/b]\n\n" + dedent(self.__doc__.format_map(self.settings.dict())).strip() + raise NotImplementedError() # Abstract method that needs to be implemented by subclass. # This method is intended to calculate resource recommendation based on history data and kubernetes object data. diff --git a/robusta_krr/core/integrations/kubernetes/__init__.py b/robusta_krr/core/integrations/kubernetes/__init__.py index 4baf3827..c3352cb2 100644 --- a/robusta_krr/core/integrations/kubernetes/__init__.py +++ b/robusta_krr/core/integrations/kubernetes/__init__.py @@ -1,31 +1,29 @@ import asyncio import logging +import re +from collections import defaultdict from concurrent.futures import ThreadPoolExecutor -from typing import AsyncGenerator, AsyncIterator, Callable, Optional, Union +from typing import Any, Awaitable, Callable, Iterable, Optional, Union, Literal -import aiostream from kubernetes import client, config # type: ignore from kubernetes.client import ApiException from kubernetes.client.models import ( V1Container, V1DaemonSet, V1Deployment, - V1HorizontalPodAutoscalerList, V1Job, - V1LabelSelector, V1Pod, V1PodList, V1StatefulSet, V2HorizontalPodAutoscaler, - V2HorizontalPodAutoscalerList, ) from robusta_krr.core.models.config import settings from robusta_krr.core.models.objects import HPAData, K8sObjectData, KindLiteral, PodData from robusta_krr.core.models.result import ResourceAllocations +from robusta_krr.utils.object_like_dict import ObjectLikeDict from . import config_patch as _ -from .rollout import RolloutAppsV1Api logger = logging.getLogger("krr") @@ -34,25 +32,61 @@ class ClusterLoader: - def __init__(self, cluster: Optional[str]): + def __init__(self, cluster: Optional[str]=None): self.cluster = cluster # This executor will be running requests to Kubernetes API self.executor = ThreadPoolExecutor(settings.max_workers) - self.api_client = ( - config.new_client_from_config(context=cluster, config_file=settings.kubeconfig) - if cluster is not None - else None - ) + self.api_client = settings.get_kube_client(cluster) self.apps = client.AppsV1Api(api_client=self.api_client) - self.rollout = RolloutAppsV1Api(api_client=self.api_client) + self.custom_objects = client.CustomObjectsApi(api_client=self.api_client) self.batch = client.BatchV1Api(api_client=self.api_client) self.core = client.CoreV1Api(api_client=self.api_client) self.autoscaling_v1 = client.AutoscalingV1Api(api_client=self.api_client) self.autoscaling_v2 = client.AutoscalingV2Api(api_client=self.api_client) - self.__rollouts_available = True + self.__kind_available: defaultdict[KindLiteral, bool] = defaultdict(lambda: True) + + self.__jobs_for_cronjobs: dict[str, list[V1Job]] = {} + self.__jobs_loading_locks: defaultdict[str, asyncio.Lock] = defaultdict(asyncio.Lock) + self.__namespaces: Union[list[str, None]] = None + + @property + def namespaces(self) -> Union[list[str], Literal["*"]]: + """wrapper for settings.namespaces, which will do expand namespace list if some regex pattern included + + Returns: + A list of namespace that will be scanned + """ + # just return the list if it's already initialized + if self.__namespaces != None: + return self.__namespaces + + setting_ns = settings.namespaces + if setting_ns == "*": + self.__namespaces = setting_ns + return self.__namespaces + + self.__namespaces = [] + expand_list: list[re.Pattern] = [] + ns_regex_chars = re.compile(r"[\\*|\(.*?\)|\[.*?\]|\^|\$]") + for ns in setting_ns: + if ns_regex_chars.search(ns): + logger.debug(f"{ns} is detected as regex pattern in expanding namespace list") + expand_list.append(re.compile(ns)) + else: + self.__namespaces.append(ns) + + if expand_list: + logger.info("found regex pattern in provided namespace argument, expanding namespace list") + all_ns = [ ns.metadata.name for ns in self.core.list_namespace().items ] + for expand_ns in expand_list: + for ns in all_ns: + if expand_ns.fullmatch(ns) and ns not in self.__namespaces: + self.__namespaces.append(ns) + + return self.__namespaces - async def list_scannable_objects(self) -> AsyncGenerator[K8sObjectData, None]: + async def list_scannable_objects(self) -> list[K8sObjectData]: """List all scannable objects. Returns: @@ -60,40 +94,72 @@ async def list_scannable_objects(self) -> AsyncGenerator[K8sObjectData, None]: """ logger.info(f"Listing scannable objects in {self.cluster}") - logger.debug(f"Namespaces: {settings.namespaces}") + logger.debug(f"Namespaces: {self.namespaces}") logger.debug(f"Resources: {settings.resources}") self.__hpa_list = await self._try_list_hpa() - - # https://stackoverflow.com/questions/55299564/join-multiple-async-generators-in-python - # This will merge all the streams from all the cluster loaders into a single stream - objects_combined = aiostream.stream.merge( + workload_object_lists = await asyncio.gather( self._list_deployments(), self._list_rollouts(), + self._list_deploymentconfig(), self._list_all_statefulsets(), self._list_all_daemon_set(), self._list_all_jobs(), + self._list_all_cronjobs(), ) - async with objects_combined.stream() as streamer: - async for object in streamer: - # NOTE: By default we will filter out kube-system namespace - if settings.namespaces == "*" and object.namespace == "kube-system": - continue - yield object + return [ + object + for workload_objects in workload_object_lists + for object in workload_objects + # NOTE: By default we will filter out kube-system namespace + if not (self.namespaces == "*" and object.namespace == "kube-system") + ] + + async def _list_jobs_for_cronjobs(self, namespace: str) -> list[V1Job]: + if namespace not in self.__jobs_for_cronjobs: + loop = asyncio.get_running_loop() + + async with self.__jobs_loading_locks[namespace]: + logging.debug(f"Loading jobs for cronjobs in {namespace}") + ret = await loop.run_in_executor( + self.executor, + lambda: self.batch.list_namespaced_job(namespace=namespace), + ) + self.__jobs_for_cronjobs[namespace] = ret.items - async def list_pods(self, object: K8sObjectData) -> list[PodData]: - selector = self._build_selector_query(object._api_resource.spec.selector) - if selector is None: - return [] + return self.__jobs_for_cronjobs[namespace] + async def list_pods(self, object: K8sObjectData) -> list[PodData]: loop = asyncio.get_running_loop() + + if object.kind == "CronJob": + namespace_jobs = await self._list_jobs_for_cronjobs(object.namespace) + ownered_jobs_uids = [ + job.metadata.uid + for job in namespace_jobs + if any( + owner.kind == "CronJob" and owner.uid == object._api_resource.metadata.uid + for owner in job.metadata.owner_references or [] + ) + ] + selector = f"batch.kubernetes.io/controller-uid in ({','.join(ownered_jobs_uids)})" + + else: + if object.selector is None: + return [] + + selector = self._build_selector_query(object.selector) + if selector is None: + return [] + ret: V1PodList = await loop.run_in_executor( self.executor, lambda: self.core.list_namespaced_pod( namespace=object._api_resource.metadata.namespace, label_selector=selector ), ) + return [PodData(name=pod.metadata.name, deleted=False) for pod in ret.items] @staticmethod @@ -107,17 +173,28 @@ def _get_match_expression_filter(expression) -> str: return f"{expression.key} {expression.operator} ({values})" @staticmethod - def _build_selector_query(selector: V1LabelSelector) -> Union[str, None]: - label_filters = [f"{label[0]}={label[1]}" for label in selector.match_labels.items()] + def _build_selector_query(selector: Any) -> Union[str, None]: + label_filters = [] + + if selector.match_labels is not None: + label_filters += [f"{label[0]}={label[1]}" for label in selector.match_labels.items()] if selector.match_expressions is not None: - label_filters.extend( - [ClusterLoader._get_match_expression_filter(expression) for expression in selector.match_expressions] - ) + label_filters += [ + ClusterLoader._get_match_expression_filter(expression) for expression in selector.match_expressions + ] + + if label_filters == []: + # NOTE: This might mean that we have DeploymentConfig, + # which uses ReplicationController and it has a dict like matchLabels + if len(selector) != 0: + label_filters += [f"{label[0]}={label[1]}" for label in selector.items()] + else: + return None return ",".join(label_filters) - def __build_obj( + def __build_scannable_object( self, item: AnyKubernetesAPIObject, container: V1Container, kind: Optional[str] = None ) -> K8sObjectData: name = item.metadata.name @@ -132,6 +209,14 @@ def __build_obj( if item.metadata.annotations: annotations = item.metadata.annotations + labels = {} + annotations = {} + if item.metadata.labels: + labels = item.metadata.labels + + if item.metadata.annotations: + annotations = item.metadata.annotations + obj = K8sObjectData( cluster=self.cluster, namespace=namespace, @@ -146,110 +231,214 @@ def __build_obj( obj._api_resource = item return obj - def _should_list_resource(self, resource: str): + def _should_list_resource(self, resource: str) -> bool: if settings.resources == "*": return True - return resource.lower() in settings.resources - - async def _list_workflows( - self, kind: KindLiteral, all_namespaces_request: Callable, namespaced_request: Callable - ) -> AsyncIterator[K8sObjectData]: - if not self._should_list_resource(kind): - logger.debug(f"Skipping {kind}s in {self.cluster}") - return - - if kind == "Rollout" and not self.__rollouts_available: - return - + return resource in settings.resources + + async def _list_namespaced_or_global_objects( + self, + kind: KindLiteral, + all_namespaces_request: Callable, + namespaced_request: Callable + ) -> list[Any]: logger.debug(f"Listing {kind}s in {self.cluster}") loop = asyncio.get_running_loop() - try: - if settings.namespaces == "*": - ret_multi = await loop.run_in_executor( + if self.namespaces == "*": + requests = [ + loop.run_in_executor( self.executor, lambda: all_namespaces_request( watch=False, label_selector=settings.selector, ), ) - logger.debug(f"Found {len(ret_multi.items)} {kind} in {self.cluster}") - for item in ret_multi.items: - for container in item.spec.template.spec.containers: - yield self.__build_obj(item, container, kind) - else: - tasks = [ - loop.run_in_executor( - self.executor, - lambda: namespaced_request( - namespace=namespace, - watch=False, - label_selector=settings.selector, - ), - ) - for namespace in settings.namespaces - ] - - total_items = 0 - for task in asyncio.as_completed(tasks): - ret_single = await task - total_items += len(ret_single.items) - for item in ret_single.items: - for container in item.spec.template.spec.containers: - yield self.__build_obj(item, container, kind) - - logger.debug(f"Found {total_items} {kind} in {self.cluster}") + ] + else: + requests = [ + loop.run_in_executor( + self.executor, + lambda ns=namespace: namespaced_request( + namespace=ns, + watch=False, + label_selector=settings.selector, + ), + ) + for namespace in self.namespaces + ] + + result = [ + item + for request_result in await asyncio.gather(*requests) + for item in request_result.items + ] + + logger.debug(f"Found {len(result)} {kind} in {self.cluster}") + return result + + async def _list_scannable_objects( + self, + kind: KindLiteral, + all_namespaces_request: Callable, + namespaced_request: Callable, + extract_containers: Callable[[Any], Union[Iterable[V1Container], Awaitable[Iterable[V1Container]]]], + filter_workflows: Optional[Callable[[Any], bool]] = None, + ) -> list[K8sObjectData]: + if not self._should_list_resource(kind): + logger.debug(f"Skipping {kind}s in {self.cluster}") + return [] + + if not self.__kind_available[kind]: + return [] + + result = [] + try: + for item in await self._list_namespaced_or_global_objects(kind, all_namespaces_request, namespaced_request): + if filter_workflows is not None and not filter_workflows(item): + continue + + containers = extract_containers(item) + if asyncio.iscoroutine(containers): + containers = await containers + + result.extend(self.__build_scannable_object(item, container, kind) for container in containers) except ApiException as e: - if kind == "Rollout" and e.status in [400, 401, 403, 404]: - if self.__rollouts_available: - logger.debug(f"Rollout API not available in {self.cluster}") - self.__rollouts_available = False + if kind in ("Rollout", "DeploymentConfig") and e.status in [400, 401, 403, 404]: + if self.__kind_available[kind]: + logger.debug(f"{kind} API not available in {self.cluster}") + self.__kind_available[kind] = False else: logger.exception(f"Error {e.status} listing {kind} in cluster {self.cluster}: {e.reason}") logger.error("Will skip this object type and continue.") - def _list_deployments(self) -> AsyncIterator[K8sObjectData]: - return self._list_workflows( + return result + + def _list_deployments(self) -> list[K8sObjectData]: + return self._list_scannable_objects( kind="Deployment", all_namespaces_request=self.apps.list_deployment_for_all_namespaces, namespaced_request=self.apps.list_namespaced_deployment, + extract_containers=lambda item: item.spec.template.spec.containers, ) - def _list_rollouts(self) -> AsyncIterator[K8sObjectData]: - return self._list_workflows( + def _list_rollouts(self) -> list[K8sObjectData]: + async def _extract_containers(item: Any) -> list[V1Container]: + if item.spec.template is not None: + return item.spec.template.spec.containers + + loop = asyncio.get_running_loop() + + logging.debug( + f"Rollout has workloadRef, fetching template for {item.metadata.name} in {item.metadata.namespace}" + ) + + # Template can be None and object might have workloadRef + workloadRef = item.spec.workloadRef + if workloadRef is not None: + ret = await loop.run_in_executor( + self.executor, + lambda: self.apps.read_namespaced_deployment( + namespace=item.metadata.namespace, name=workloadRef.name + ), + ) + return ret.spec.template.spec.containers + + return [] + + # NOTE: Using custom objects API returns dicts, but all other APIs return objects + # We need to handle this difference using a small wrapper + return self._list_scannable_objects( kind="Rollout", - all_namespaces_request=self.rollout.list_rollout_for_all_namespaces, - namespaced_request=self.rollout.list_namespaced_rollout, + all_namespaces_request=lambda **kwargs: ObjectLikeDict( + self.custom_objects.list_cluster_custom_object( + group="argoproj.io", + version="v1alpha1", + plural="rollouts", + **kwargs, + ) + ), + namespaced_request=lambda **kwargs: ObjectLikeDict( + self.custom_objects.list_namespaced_custom_object( + group="argoproj.io", + version="v1alpha1", + plural="rollouts", + **kwargs, + ) + ), + extract_containers=_extract_containers, + ) + + def _list_deploymentconfig(self) -> list[K8sObjectData]: + # NOTE: Using custom objects API returns dicts, but all other APIs return objects + # We need to handle this difference using a small wrapper + return self._list_scannable_objects( + kind="DeploymentConfig", + all_namespaces_request=lambda **kwargs: ObjectLikeDict( + self.custom_objects.list_cluster_custom_object( + group="apps.openshift.io", + version="v1", + plural="deploymentconfigs", + **kwargs, + ) + ), + namespaced_request=lambda **kwargs: ObjectLikeDict( + self.custom_objects.list_namespaced_custom_object( + group="apps.openshift.io", + version="v1", + plural="deploymentconfigs", + **kwargs, + ) + ), + extract_containers=lambda item: item.spec.template.spec.containers, ) - def _list_all_statefulsets(self) -> AsyncIterator[K8sObjectData]: - return self._list_workflows( + def _list_all_statefulsets(self) -> list[K8sObjectData]: + return self._list_scannable_objects( kind="StatefulSet", all_namespaces_request=self.apps.list_stateful_set_for_all_namespaces, namespaced_request=self.apps.list_namespaced_stateful_set, + extract_containers=lambda item: item.spec.template.spec.containers, ) - def _list_all_daemon_set(self) -> AsyncIterator[K8sObjectData]: - return self._list_workflows( + def _list_all_daemon_set(self) -> list[K8sObjectData]: + return self._list_scannable_objects( kind="DaemonSet", all_namespaces_request=self.apps.list_daemon_set_for_all_namespaces, namespaced_request=self.apps.list_namespaced_daemon_set, + extract_containers=lambda item: item.spec.template.spec.containers, ) - def _list_all_jobs(self) -> AsyncIterator[K8sObjectData]: - return self._list_workflows( + def _list_all_jobs(self) -> list[K8sObjectData]: + return self._list_scannable_objects( kind="Job", all_namespaces_request=self.batch.list_job_for_all_namespaces, namespaced_request=self.batch.list_namespaced_job, + extract_containers=lambda item: item.spec.template.spec.containers, + # NOTE: If the job has ownerReference and it is a CronJob, then we should skip it + filter_workflows=lambda item: not any( + owner.kind == "CronJob" for owner in item.metadata.owner_references or [] + ), + ) + + def _list_all_cronjobs(self) -> list[K8sObjectData]: + return self._list_scannable_objects( + kind="CronJob", + all_namespaces_request=self.batch.list_cron_job_for_all_namespaces, + namespaced_request=self.batch.list_namespaced_cron_job, + extract_containers=lambda item: item.spec.job_template.spec.template.spec.containers, ) async def __list_hpa_v1(self) -> dict[HPAKey, HPAData]: loop = asyncio.get_running_loop() - - res: V1HorizontalPodAutoscalerList = await loop.run_in_executor( - self.executor, lambda: self.autoscaling_v1.list_horizontal_pod_autoscaler_for_all_namespaces(watch=False) + res = await loop.run_in_executor( + self.executor, + lambda: self._list_namespaced_or_global_objects( + kind="HPA-v1", + all_namespaces_request=self.autoscaling_v1.list_horizontal_pod_autoscaler_for_all_namespaces, + namespaced_request=self.autoscaling_v1.list_namespaced_horizontal_pod_autoscaler, + ), ) - return { ( hpa.metadata.namespace, @@ -263,17 +452,15 @@ async def __list_hpa_v1(self) -> dict[HPAKey, HPAData]: target_cpu_utilization_percentage=hpa.spec.target_cpu_utilization_percentage, target_memory_utilization_percentage=None, ) - for hpa in res.items + async for hpa in res } async def __list_hpa_v2(self) -> dict[HPAKey, HPAData]: - loop = asyncio.get_running_loop() - - res: V2HorizontalPodAutoscalerList = await loop.run_in_executor( - self.executor, - lambda: self.autoscaling_v2.list_horizontal_pod_autoscaler_for_all_namespaces(watch=False), + res = await self._list_namespaced_or_global_objects( + kind="HPA-v2", + all_namespaces_request=self.autoscaling_v2.list_horizontal_pod_autoscaler_for_all_namespaces, + namespaced_request=self.autoscaling_v2.list_namespaced_horizontal_pod_autoscaler, ) - def __get_metric(hpa: V2HorizontalPodAutoscaler, metric_name: str) -> Optional[float]: return next( ( @@ -283,7 +470,6 @@ def __get_metric(hpa: V2HorizontalPodAutoscaler, metric_name: str) -> Optional[f ), None, ) - return { ( hpa.metadata.namespace, @@ -297,7 +483,7 @@ def __get_metric(hpa: V2HorizontalPodAutoscaler, metric_name: str) -> Optional[f target_cpu_utilization_percentage=__get_metric(hpa, "cpu"), target_memory_utilization_percentage=__get_metric(hpa, "memory"), ) - for hpa in res.items + for hpa in res } # TODO: What should we do in case of other metrics bound to the HPA? @@ -382,7 +568,7 @@ def _try_create_cluster_loader(self, cluster: Optional[str]) -> Optional[Cluster logger.error(f"Could not load cluster {cluster} and will skip it: {e}") return None - async def list_scannable_objects(self, clusters: Optional[list[str]]) -> AsyncIterator[K8sObjectData]: + async def list_scannable_objects(self, clusters: Optional[list[str]]) -> list[K8sObjectData]: """List all scannable objects. Yields: @@ -397,16 +583,12 @@ async def list_scannable_objects(self, clusters: Optional[list[str]]) -> AsyncIt if self.cluster_loaders == {}: logger.error("Could not load any cluster.") return - - # https://stackoverflow.com/questions/55299564/join-multiple-async-generators-in-python - # This will merge all the streams from all the cluster loaders into a single stream - objects_combined = aiostream.stream.merge( - *[cluster_loader.list_scannable_objects() for cluster_loader in self.cluster_loaders.values()] - ) - - async with objects_combined.stream() as streamer: - async for object in streamer: - yield object + + return [ + object + for cluster_loader in self.cluster_loaders.values() + for object in await cluster_loader.list_scannable_objects() + ] async def load_pods(self, object: K8sObjectData) -> list[PodData]: try: diff --git a/robusta_krr/core/integrations/kubernetes/config_patch.py b/robusta_krr/core/integrations/kubernetes/config_patch.py index 5f294bcb..81cd108b 100644 --- a/robusta_krr/core/integrations/kubernetes/config_patch.py +++ b/robusta_krr/core/integrations/kubernetes/config_patch.py @@ -3,6 +3,8 @@ from __future__ import annotations +from typing import Optional + from kubernetes.client import configuration from kubernetes.config import kube_config @@ -25,7 +27,7 @@ def _set_config(self, client_configuration: Configuration): class Configuration(configuration.Configuration): def __init__( self, - proxy: str | None = None, + proxy: Optional[str] = None, **kwargs, ): super().__init__(**kwargs) diff --git a/robusta_krr/core/integrations/kubernetes/rollout.py b/robusta_krr/core/integrations/kubernetes/rollout.py deleted file mode 100644 index 389c65b2..00000000 --- a/robusta_krr/core/integrations/kubernetes/rollout.py +++ /dev/null @@ -1,340 +0,0 @@ -import six -from kubernetes import client -from kubernetes.client.exceptions import ApiTypeError, ApiValueError - - -class RolloutAppsV1Api(client.AppsV1Api): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - def list_rollout_for_all_namespaces(self, **kwargs): # noqa: E501 - """list_rollout_for_all_namespaces # noqa: E501 - - list or watch objects of kind Deployment # noqa: E501 - This method makes a synchronous HTTP request by default. To make an - asynchronous HTTP request, please pass async_req=True - >>> thread = api.list_rollout_for_all_namespaces(async_req=True) - >>> result = thread.get() - - :param async_req bool: execute request asynchronously - :param bool allow_watch_bookmarks: allowWatchBookmarks requests watch events with type \"BOOKMARK\". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. - :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. - :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. - :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. - :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. - :param str pretty: If 'true', then the output is pretty printed. - :param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. - :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. - :param _preload_content: if False, the urllib3.HTTPResponse object will - be returned without reading/decoding response - data. Default is True. - :param _request_timeout: timeout setting for this request. If one - number provided, it will be total request - timeout. It can also be a pair (tuple) of - (connection, read) timeouts. - :return: V1RolloutList - If the method is called asynchronously, - returns the request thread. - """ - kwargs["_return_http_data_only"] = True - return self.list_rollout_for_all_namespaces_with_http_info(**kwargs) # noqa: E501 - - def list_rollout_for_all_namespaces_with_http_info(self, **kwargs): # noqa: E501 - """list_rollout_for_all_namespaces # noqa: E501 - - list or watch objects of kind Deployment # noqa: E501 - This method makes a synchronous HTTP request by default. To make an - asynchronous HTTP request, please pass async_req=True - >>> thread = api.list_deployment_for_all_namespaces_with_http_info(async_req=True) - >>> result = thread.get() - - :param async_req bool: execute request asynchronously - :param bool allow_watch_bookmarks: allowWatchBookmarks requests watch events with type \"BOOKMARK\". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. - :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. - :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. - :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. - :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. - :param str pretty: If 'true', then the output is pretty printed. - :param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. - :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. - :param _return_http_data_only: response data without head status code - and headers - :param _preload_content: if False, the urllib3.HTTPResponse object will - be returned without reading/decoding response - data. Default is True. - :param _request_timeout: timeout setting for this request. If one - number provided, it will be total request - timeout. It can also be a pair (tuple) of - (connection, read) timeouts. - :return: tuple(V1DeploymentList, status_code(int), headers(HTTPHeaderDict)) - If the method is called asynchronously, - returns the request thread. - """ - - local_var_params = locals() - - all_params = [ - "allow_watch_bookmarks", - "_continue", - "field_selector", - "label_selector", - "limit", - "pretty", - "resource_version", - "resource_version_match", - "timeout_seconds", - "watch", - ] - all_params.extend(["async_req", "_return_http_data_only", "_preload_content", "_request_timeout"]) - - for key, val in six.iteritems(local_var_params["kwargs"]): - if key not in all_params: - raise ApiTypeError( - "Got an unexpected keyword argument '%s'" " to method list_deployment_for_all_namespaces" % key - ) - local_var_params[key] = val - del local_var_params["kwargs"] - - collection_formats = {} - - path_params = {} - - query_params = [] - if ( - "allow_watch_bookmarks" in local_var_params and local_var_params["allow_watch_bookmarks"] is not None - ): # noqa: E501 - query_params.append(("allowWatchBookmarks", local_var_params["allow_watch_bookmarks"])) # noqa: E501 - if "_continue" in local_var_params and local_var_params["_continue"] is not None: # noqa: E501 - query_params.append(("continue", local_var_params["_continue"])) # noqa: E501 - if "field_selector" in local_var_params and local_var_params["field_selector"] is not None: # noqa: E501 - query_params.append(("fieldSelector", local_var_params["field_selector"])) # noqa: E501 - if "label_selector" in local_var_params and local_var_params["label_selector"] is not None: # noqa: E501 - query_params.append(("labelSelector", local_var_params["label_selector"])) # noqa: E501 - if "limit" in local_var_params and local_var_params["limit"] is not None: # noqa: E501 - query_params.append(("limit", local_var_params["limit"])) # noqa: E501 - if "pretty" in local_var_params and local_var_params["pretty"] is not None: # noqa: E501 - query_params.append(("pretty", local_var_params["pretty"])) # noqa: E501 - if "resource_version" in local_var_params and local_var_params["resource_version"] is not None: # noqa: E501 - query_params.append(("resourceVersion", local_var_params["resource_version"])) # noqa: E501 - if ( - "resource_version_match" in local_var_params and local_var_params["resource_version_match"] is not None - ): # noqa: E501 - query_params.append(("resourceVersionMatch", local_var_params["resource_version_match"])) # noqa: E501 - if "timeout_seconds" in local_var_params and local_var_params["timeout_seconds"] is not None: # noqa: E501 - query_params.append(("timeoutSeconds", local_var_params["timeout_seconds"])) # noqa: E501 - if "watch" in local_var_params and local_var_params["watch"] is not None: # noqa: E501 - query_params.append(("watch", local_var_params["watch"])) # noqa: E501 - - header_params = {} - - form_params = [] - local_var_files = {} - - body_params = None - # HTTP header `Accept` - header_params["Accept"] = self.api_client.select_header_accept( - [ - "application/json", - "application/yaml", - "application/vnd.kubernetes.protobuf", - "application/json;stream=watch", - "application/vnd.kubernetes.protobuf;stream=watch", - ] - ) # noqa: E501 - - # Authentication setting - auth_settings = ["BearerToken"] # noqa: E501 - - return self.api_client.call_api( - "/apis/argoproj.io/v1alpha1/rollouts", - "GET", - path_params, - query_params, - header_params, - body=body_params, - post_params=form_params, - files=local_var_files, - response_type="V1DeploymentList", # noqa: E501 - auth_settings=auth_settings, - async_req=local_var_params.get("async_req"), - _return_http_data_only=local_var_params.get("_return_http_data_only"), # noqa: E501 - _preload_content=local_var_params.get("_preload_content", True), - _request_timeout=local_var_params.get("_request_timeout"), - collection_formats=collection_formats, - ) - - def list_namespaced_rollout(self, namespace, **kwargs): # noqa: E501 - """list_namespaced_rollout # noqa: E501 - - list or watch objects of kind ControllerRevision # noqa: E501 - This method makes a synchronous HTTP request by default. To make an - asynchronous HTTP request, please pass async_req=True - >>> thread = api.list_namespaced_rollout(namespace, async_req=True) - >>> result = thread.get() - - :param async_req bool: execute request asynchronously - :param str namespace: object name and auth scope, such as for teams and projects (required) - :param str pretty: If 'true', then the output is pretty printed. - :param bool allow_watch_bookmarks: allowWatchBookmarks requests watch events with type \"BOOKMARK\". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. - :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. - :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. - :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. - :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. - :param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. - :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. - :param _preload_content: if False, the urllib3.HTTPResponse object will - be returned without reading/decoding response - data. Default is True. - :param _request_timeout: timeout setting for this request. If one - number provided, it will be total request - timeout. It can also be a pair (tuple) of - (connection, read) timeouts. - :return: V1ControllerRevisionList - If the method is called asynchronously, - returns the request thread. - """ - kwargs["_return_http_data_only"] = True - return self.list_namespaced_rollout_with_http_info(namespace, **kwargs) # noqa: E501 - - def list_namespaced_rollout_with_http_info(self, namespace, **kwargs): # noqa: E501 - """list_namespaced_rollout # noqa: E501 - - list or watch objects of kind ControllerRevision # noqa: E501 - This method makes a synchronous HTTP request by default. To make an - asynchronous HTTP request, please pass async_req=True - >>> thread = api.list_namespaced_rollout_with_http_info(namespace, async_req=True) - >>> result = thread.get() - - :param async_req bool: execute request asynchronously - :param str namespace: object name and auth scope, such as for teams and projects (required) - :param str pretty: If 'true', then the output is pretty printed. - :param bool allow_watch_bookmarks: allowWatchBookmarks requests watch events with type \"BOOKMARK\". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. - :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. - :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. - :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. - :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. - :param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset - :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. - :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. - :param _return_http_data_only: response data without head status code - and headers - :param _preload_content: if False, the urllib3.HTTPResponse object will - be returned without reading/decoding response - data. Default is True. - :param _request_timeout: timeout setting for this request. If one - number provided, it will be total request - timeout. It can also be a pair (tuple) of - (connection, read) timeouts. - :return: tuple(V1ControllerRevisionList, status_code(int), headers(HTTPHeaderDict)) - If the method is called asynchronously, - returns the request thread. - """ - - local_var_params = locals() - - all_params = [ - "namespace", - "pretty", - "allow_watch_bookmarks", - "_continue", - "field_selector", - "label_selector", - "limit", - "resource_version", - "resource_version_match", - "timeout_seconds", - "watch", - ] - all_params.extend(["async_req", "_return_http_data_only", "_preload_content", "_request_timeout"]) - - for key, val in six.iteritems(local_var_params["kwargs"]): - if key not in all_params: - raise ApiTypeError( - "Got an unexpected keyword argument '%s'" " to method list_namespaced_controller_revision" % key - ) - local_var_params[key] = val - del local_var_params["kwargs"] - # verify the required parameter 'namespace' is set - if self.api_client.client_side_validation and ( - "namespace" not in local_var_params or local_var_params["namespace"] is None # noqa: E501 - ): # noqa: E501 - raise ApiValueError( - "Missing the required parameter `namespace` when calling `list_namespaced_controller_revision`" - ) # noqa: E501 - - collection_formats = {} - - path_params = {} - if "namespace" in local_var_params: - path_params["namespace"] = local_var_params["namespace"] # noqa: E501 - - query_params = [] - if "pretty" in local_var_params and local_var_params["pretty"] is not None: # noqa: E501 - query_params.append(("pretty", local_var_params["pretty"])) # noqa: E501 - if ( - "allow_watch_bookmarks" in local_var_params and local_var_params["allow_watch_bookmarks"] is not None - ): # noqa: E501 - query_params.append(("allowWatchBookmarks", local_var_params["allow_watch_bookmarks"])) # noqa: E501 - if "_continue" in local_var_params and local_var_params["_continue"] is not None: # noqa: E501 - query_params.append(("continue", local_var_params["_continue"])) # noqa: E501 - if "field_selector" in local_var_params and local_var_params["field_selector"] is not None: # noqa: E501 - query_params.append(("fieldSelector", local_var_params["field_selector"])) # noqa: E501 - if "label_selector" in local_var_params and local_var_params["label_selector"] is not None: # noqa: E501 - query_params.append(("labelSelector", local_var_params["label_selector"])) # noqa: E501 - if "limit" in local_var_params and local_var_params["limit"] is not None: # noqa: E501 - query_params.append(("limit", local_var_params["limit"])) # noqa: E501 - if "resource_version" in local_var_params and local_var_params["resource_version"] is not None: # noqa: E501 - query_params.append(("resourceVersion", local_var_params["resource_version"])) # noqa: E501 - if ( - "resource_version_match" in local_var_params and local_var_params["resource_version_match"] is not None - ): # noqa: E501 - query_params.append(("resourceVersionMatch", local_var_params["resource_version_match"])) # noqa: E501 - if "timeout_seconds" in local_var_params and local_var_params["timeout_seconds"] is not None: # noqa: E501 - query_params.append(("timeoutSeconds", local_var_params["timeout_seconds"])) # noqa: E501 - if "watch" in local_var_params and local_var_params["watch"] is not None: # noqa: E501 - query_params.append(("watch", local_var_params["watch"])) # noqa: E501 - - header_params = {} - - form_params = [] - local_var_files = {} - - body_params = None - # HTTP header `Accept` - header_params["Accept"] = self.api_client.select_header_accept( - [ - "application/json", - "application/yaml", - "application/vnd.kubernetes.protobuf", - "application/json;stream=watch", - "application/vnd.kubernetes.protobuf;stream=watch", - ] - ) # noqa: E501 - - # Authentication setting - auth_settings = ["BearerToken"] # noqa: E501 - - return self.api_client.call_api( - "/apis/argoproj.io/v1alpha1/namespaces/{namespace}/rollouts", - "GET", - path_params, - query_params, - header_params, - body=body_params, - post_params=form_params, - files=local_var_files, - response_type="V1DeploymentList", # noqa: E501 - auth_settings=auth_settings, - async_req=local_var_params.get("async_req"), - _return_http_data_only=local_var_params.get("_return_http_data_only"), # noqa: E501 - _preload_content=local_var_params.get("_preload_content", True), - _request_timeout=local_var_params.get("_request_timeout"), - collection_formats=collection_formats, - ) diff --git a/robusta_krr/core/integrations/openshift/__init__.py b/robusta_krr/core/integrations/openshift/__init__.py new file mode 100644 index 00000000..c54df543 --- /dev/null +++ b/robusta_krr/core/integrations/openshift/__init__.py @@ -0,0 +1,3 @@ +from .token import TOKEN_LOCATION, load_token + +__all__ = ["TOKEN_LOCATION", "load_token"] diff --git a/robusta_krr/core/integrations/openshift/token.py b/robusta_krr/core/integrations/openshift/token.py new file mode 100644 index 00000000..54a599f2 --- /dev/null +++ b/robusta_krr/core/integrations/openshift/token.py @@ -0,0 +1,17 @@ +from typing import Optional + +from robusta_krr.core.models.config import settings + +# NOTE: This one should be mounted if openshift is enabled (done by Robusta Runner) +TOKEN_LOCATION = '/var/run/secrets/kubernetes.io/serviceaccount/token' + + +def load_token() -> Optional[str]: + if not settings.openshift: + return None + + try: + with open(TOKEN_LOCATION, 'r') as file: + return file.read() + except FileNotFoundError: + return None diff --git a/robusta_krr/core/integrations/prometheus/loader.py b/robusta_krr/core/integrations/prometheus/loader.py index c0995360..cf0c1554 100644 --- a/robusta_krr/core/integrations/prometheus/loader.py +++ b/robusta_krr/core/integrations/prometheus/loader.py @@ -3,10 +3,11 @@ import datetime import logging from concurrent.futures import ThreadPoolExecutor -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING, Optional, Dict, Any from kubernetes import config as k8s_config from kubernetes.client.api_client import ApiClient +from kubernetes.client.exceptions import ApiException from prometrix import MetricsNotFound, PrometheusNotFound from robusta_krr.core.models.config import settings @@ -15,19 +16,13 @@ from .metrics_service.prometheus_metrics_service import PrometheusMetricsService from .metrics_service.thanos_metrics_service import ThanosMetricsService from .metrics_service.victoria_metrics_service import VictoriaMetricsService +from .metrics_service.mimir_metrics_service import MimirMetricsService if TYPE_CHECKING: from robusta_krr.core.abstract.strategies import BaseStrategy, MetricsPodData logger = logging.getLogger("krr") -METRICS_SERVICES = { - "Prometheus": PrometheusMetricsService, - "Victoria Metrics": VictoriaMetricsService, - "Thanos": ThanosMetricsService, -} - - class PrometheusMetricsLoader: def __init__(self, *, cluster: Optional[str] = None) -> None: """ @@ -38,37 +33,55 @@ def __init__(self, *, cluster: Optional[str] = None) -> None: """ self.executor = ThreadPoolExecutor(settings.max_workers) - - self.api_client = ( - k8s_config.new_client_from_config(config_file=settings.kubeconfig, context=cluster) - if cluster is not None - else None - ) + self.api_client = settings.get_kube_client(context=cluster) loader = self.get_metrics_service(api_client=self.api_client, cluster=cluster) if loader is None: - raise PrometheusNotFound("No Prometheus or metrics service found") + raise PrometheusNotFound( + f"Wasn't able to connect to any Prometheus service in {cluster or 'inner'} cluster\n" + "Try using port-forwarding and/or setting the url manually (using the -p flag.).\n" + "For more information, see 'Giving the Explicit Prometheus URL' at https://github.com/robusta-dev/krr?tab=readme-ov-file#usage" + ) self.loader = loader - logger.info(f"{self.loader.name} connected successfully for {cluster or 'default'} cluster") + logger.info(f"{self.loader.name()} connected successfully for {cluster or 'default'} cluster") def get_metrics_service( self, api_client: Optional[ApiClient] = None, cluster: Optional[str] = None, ) -> Optional[PrometheusMetricsService]: - for service_name, metric_service_class in METRICS_SERVICES.items(): + if settings.prometheus_url is not None: + logger.info("Prometheus URL is specified, will not auto-detect a metrics service") + metrics_to_check = [PrometheusMetricsService] + else: + logger.info("No Prometheus URL is specified, trying to auto-detect a metrics service") + metrics_to_check = [VictoriaMetricsService, ThanosMetricsService, MimirMetricsService, PrometheusMetricsService] + + for metric_service_class in metrics_to_check: + service_name = metric_service_class.name() try: loader = metric_service_class(api_client=api_client, cluster=cluster, executor=self.executor) loader.check_connection() + except MetricsNotFound as e: + logger.info(f"{service_name} not found: {e}") + except ApiException as e: + logger.warning( + f"Unable to automatically discover a {service_name} in the cluster ({e}). " + "Try specifying how to connect to Prometheus via cli options" + ) + else: logger.info(f"{service_name} found") loader.validate_cluster_name() return loader - except MetricsNotFound as e: - logger.debug(f"{service_name} not found: {e}") return None + async def get_history_range( + self, history_duration: datetime.timedelta + ) -> Optional[tuple[datetime.datetime, datetime.datetime]]: + return await self.loader.get_history_range(history_duration) + async def load_pods(self, object: K8sObjectData, period: datetime.timedelta) -> list[PodData]: try: return await self.loader.load_pods(object, period) @@ -76,6 +89,13 @@ async def load_pods(self, object: K8sObjectData, period: datetime.timedelta) -> logger.exception(f"Failed to load pods for {object}: {e}") return [] + async def get_cluster_summary(self) -> Dict[str, Any]: + try: + return await self.loader.get_cluster_summary() + except Exception as e: + logger.exception(f"Failed to get cluster summary: {e}") + return {} + async def gather_data( self, object: K8sObjectData, diff --git a/robusta_krr/core/integrations/prometheus/metrics/__init__.py b/robusta_krr/core/integrations/prometheus/metrics/__init__.py index e9a0568b..aea497f6 100644 --- a/robusta_krr/core/integrations/prometheus/metrics/__init__.py +++ b/robusta_krr/core/integrations/prometheus/metrics/__init__.py @@ -1,3 +1,3 @@ from .base import PrometheusMetric from .cpu import CPUAmountLoader, CPULoader, PercentileCPULoader -from .memory import MaxMemoryLoader, MemoryAmountLoader, MemoryLoader +from .memory import MaxMemoryLoader, MemoryAmountLoader, MemoryLoader, MaxOOMKilledMemoryLoader diff --git a/robusta_krr/core/integrations/prometheus/metrics/base.py b/robusta_krr/core/integrations/prometheus/metrics/base.py index ab095f89..4169b0f0 100644 --- a/robusta_krr/core/integrations/prometheus/metrics/base.py +++ b/robusta_krr/core/integrations/prometheus/metrics/base.py @@ -59,6 +59,7 @@ class PrometheusMetric(BaseMetric): query_type: QueryType = QueryType.Query filtering: bool = True pods_batch_size: Optional[int] = 50 + warning_on_no_data: bool = True def __init__( self, @@ -117,16 +118,20 @@ def _step_to_string(self, step: datetime.timedelta) -> str: def _query_prometheus_sync(self, data: PrometheusMetricData) -> list[PrometheusSeries]: if data.type == QueryType.QueryRange: - value = self.prometheus.custom_query_range( + response = self.prometheus.safe_custom_query_range( query=data.query, start_time=data.start_time, end_time=data.end_time, step=data.step, ) - return value + return response["result"] else: # regular query, lighter on preformance - results = self.prometheus.custom_query(query=data.query) + try: + response = self.prometheus.safe_custom_query(query=data.query) + except Exception as e: + raise ValueError(f"Failed to run query: {data.query}") from e + results = response["result"] # format the results to return the same format as custom_query_range for result in results: result["values"] = [result.pop("value")] @@ -165,7 +170,7 @@ async def load_data( duration_str = self._step_to_string(period) query = self.get_query(object, duration_str, step_str) - end_time = datetime.datetime.now().replace(second=0, microsecond=0).astimezone() + end_time = datetime.datetime.utcnow().replace(second=0, microsecond=0) start_time = end_time - period # Here if we split the object into multiple sub-objects, we query each sub-object recursively. diff --git a/robusta_krr/core/integrations/prometheus/metrics/memory.py b/robusta_krr/core/integrations/prometheus/metrics/memory.py index 85031bc1..85dfba6b 100644 --- a/robusta_krr/core/integrations/prometheus/metrics/memory.py +++ b/robusta_krr/core/integrations/prometheus/metrics/memory.py @@ -69,3 +69,41 @@ def get_query(self, object: K8sObjectData, duration: str, step: str) -> str: [{duration}:{step}] ) """ + +# TODO: Need to battle test if this one is correct. +class MaxOOMKilledMemoryLoader(PrometheusMetric): + """ + A metric loader for loading the maximum memory limits that were surpassed by the OOMKilled event. + """ + + warning_on_no_data = False + + def get_query(self, object: K8sObjectData, duration: str, step: str) -> str: + pods_selector = "|".join(pod.name for pod in object.pods) + cluster_label = self.get_prometheus_cluster_label() + return f""" + max_over_time( + max( + max( + kube_pod_container_resource_limits{{ + resource="memory", + namespace="{object.namespace}", + pod=~"{pods_selector}", + container="{object.container}" + {cluster_label} + }} + ) by (pod, container, job) + * on(pod, container, job) group_left(reason) + max( + kube_pod_container_status_last_terminated_reason{{ + reason="OOMKilled", + namespace="{object.namespace}", + pod=~"{pods_selector}", + container="{object.container}" + {cluster_label} + }} + ) by (pod, container, job, reason) + ) by (container, pod, job) + [{duration}:{step}] + ) + """ diff --git a/robusta_krr/core/integrations/prometheus/metrics_service/base_metric_service.py b/robusta_krr/core/integrations/prometheus/metrics_service/base_metric_service.py index 9adb5b53..714a9f5c 100644 --- a/robusta_krr/core/integrations/prometheus/metrics_service/base_metric_service.py +++ b/robusta_krr/core/integrations/prometheus/metrics_service/base_metric_service.py @@ -1,7 +1,7 @@ import abc import datetime from concurrent.futures import ThreadPoolExecutor -from typing import List, Optional +from typing import List, Optional, Dict, Any from kubernetes.client.api_client import ApiClient @@ -27,15 +27,19 @@ def __init__( def check_connection(self): ... - @property - def name(self) -> str: - classname = self.__class__.__name__ + @classmethod + def name(cls) -> str: + classname = cls.__name__ return classname.replace("MetricsService", "") if classname != MetricsService.__name__ else classname @abc.abstractmethod def get_cluster_names(self) -> Optional[List[str]]: ... + @abc.abstractmethod + async def get_cluster_summary(self) -> Dict[str, Any]: + ... + @abc.abstractmethod async def gather_data( self, diff --git a/robusta_krr/core/integrations/prometheus/metrics_service/mimir_metrics_service.py b/robusta_krr/core/integrations/prometheus/metrics_service/mimir_metrics_service.py new file mode 100644 index 00000000..ea3af57c --- /dev/null +++ b/robusta_krr/core/integrations/prometheus/metrics_service/mimir_metrics_service.py @@ -0,0 +1,47 @@ +from typing import Optional + +from kubernetes.client import ApiClient +from prometrix import MetricsNotFound + +from robusta_krr.utils.service_discovery import MetricsServiceDiscovery + +from .prometheus_metrics_service import PrometheusMetricsService + +class MimirMetricsDiscovery(MetricsServiceDiscovery): + def find_metrics_url(self, *, api_client: Optional[ApiClient] = None) -> Optional[str]: + """ + Finds the Mimir Metrics URL using selectors. + Args: + api_client (Optional[ApiClient]): A Kubernetes API client. Defaults to None. + Returns: + Optional[str]: The discovered Mimir Metrics URL, or None if not found. + """ + return super().find_url( + selectors=[ + "app.kubernetes.io/name=mimir,app.kubernetes.io/component=query-frontend", + ] + ) + + +class MimirMetricsService(PrometheusMetricsService): + """ + A class for fetching metrics from Mimir Metrics. + """ + + service_discovery = MimirMetricsDiscovery + url_postfix = "/prometheus" + additional_headers = {"X-Scope-OrgID": "anonymous"} + + def check_connection(self): + """ + Checks the connection to Prometheus. + Raises: + MimirMetricsNotFound: If the connection to Mimir Metrics cannot be established. + """ + try: + super().check_connection() + except MetricsNotFound as e: + # This is to clarify which metrics service had the issue and not say its a prometheus issue + raise MetricsNotFound( + f"Couldn't connect to Mimir Metrics found under {self.prometheus.url}\nCaused by {e.__class__.__name__}: {e})" + ) from e diff --git a/robusta_krr/core/integrations/prometheus/metrics_service/prometheus_metrics_service.py b/robusta_krr/core/integrations/prometheus/metrics_service/prometheus_metrics_service.py index 091041e4..71d5ae8f 100644 --- a/robusta_krr/core/integrations/prometheus/metrics_service/prometheus_metrics_service.py +++ b/robusta_krr/core/integrations/prometheus/metrics_service/prometheus_metrics_service.py @@ -1,14 +1,16 @@ import asyncio -import datetime import logging +import os from concurrent.futures import ThreadPoolExecutor -from typing import List, Optional +from datetime import datetime, timedelta +from typing import Iterable, List, Optional, Dict, Any from kubernetes.client import ApiClient from prometheus_api_client import PrometheusApiClientException from prometrix import PrometheusNotFound, get_custom_prometheus_connect from robusta_krr.core.abstract.strategies import PodsTimeData +from robusta_krr.core.integrations import openshift from robusta_krr.core.models.config import settings from robusta_krr.core.models.objects import K8sObjectData, PodData from robusta_krr.utils.batched import batched @@ -37,9 +39,10 @@ def find_metrics_url(self, *, api_client: Optional[ApiClient] = None) -> Optiona "app=prometheus,component=server", "app=prometheus-server", "app=prometheus-operator-prometheus", - "app=prometheus-msteams", "app=rancher-monitoring-prometheus", "app=prometheus-prometheus", + "app.kubernetes.io/name=prometheus,app.kubernetes.io/component=server", + "app=stack-prometheus", ] ) @@ -50,6 +53,8 @@ class PrometheusMetricsService(MetricsService): """ service_discovery: type[MetricsServiceDiscovery] = PrometheusDiscovery + url_postfix: str = "" + additional_headers: dict[str, str] = {} def __init__( self, @@ -60,11 +65,23 @@ def __init__( ) -> None: super().__init__(api_client=api_client, cluster=cluster, executor=executor) - logger.info(f"Connecting to {self.name} for {self.cluster} cluster") + logger.info(f"Trying to connect to {self.name()} for {self.cluster} cluster") - self.auth_header = settings.prometheus_auth_header + self.auth_header = ( + settings.prometheus_auth_header.get_secret_value() if settings.prometheus_auth_header else None + ) self.ssl_enabled = settings.prometheus_ssl_enabled + if settings.openshift: + logging.info("Openshift flag is set, trying to load token from service account.") + openshift_token = openshift.load_token() + + if openshift_token: + logging.info("Openshift token is loaded successfully.") + self.auth_header = self.auth_header or f"Bearer {openshift_token}" + else: + logging.warning("Openshift token is not found, trying to connect without it.") + self.prometheus_discovery = self.service_discovery(api_client=self.api_client) self.url = settings.prometheus_url @@ -72,13 +89,15 @@ def __init__( if not self.url: raise PrometheusNotFound( - f"{self.name} instance could not be found while scanning in {self.cluster} cluster.\n" - "\tTry using port-forwarding and/or setting the url manually (using the -p flag.)." + f"{self.name()} instance could not be found while scanning in {self.cluster} cluster." ) - logger.info(f"Using {self.name} at {self.url} for cluster {cluster or 'default'}") + self.url += self.url_postfix + + logger.info(f"Using {self.name()} at {self.url} for cluster {cluster or 'default'}") - headers = settings.prometheus_other_headers + headers = {k: v.get_secret_value() for k, v in settings.prometheus_other_headers.items()} + headers |= self.additional_headers if self.auth_header: headers |= {"Authorization": self.auth_header} @@ -97,7 +116,19 @@ def check_connection(self): async def query(self, query: str) -> dict: loop = asyncio.get_running_loop() - return await loop.run_in_executor(self.executor, lambda: self.prometheus.custom_query(query=query)) + return await loop.run_in_executor( + self.executor, + lambda: self.prometheus.safe_custom_query(query=query)["result"], + ) + + async def query_range(self, query: str, start: datetime, end: datetime, step: timedelta) -> dict: + loop = asyncio.get_running_loop() + return await loop.run_in_executor( + self.executor, + lambda: self.prometheus.safe_custom_query_range( + query=query, start_time=start, end_time=end, step=f"{step.seconds}s" + )["result"], + ) def validate_cluster_name(self): if not settings.prometheus_cluster_label and not settings.prometheus_label: @@ -126,19 +157,41 @@ def get_cluster_names(self) -> Optional[List[str]]: logger.error("Labels api not present on prometheus client") return [] + async def get_history_range(self, history_duration: timedelta) -> tuple[datetime, datetime]: + """ + Get the history range from Prometheus, based on container_memory_working_set_bytes. + Returns: + float: The first history point. + """ + + now = datetime.now() + result = await self.query_range( + "max(prometheus_tsdb_head_series)", + start=now - history_duration, + end=now, + step=timedelta(hours=1), + ) + try: + values = result[0]["values"] + start, end = values[0][0], values[-1][0] + return datetime.fromtimestamp(start), datetime.fromtimestamp(end) + except (KeyError, IndexError) as e: + logger.debug(f"Returned from get_history_range: {result}") + raise ValueError("Error while getting history range") from e + async def gather_data( self, object: K8sObjectData, LoaderClass: type[PrometheusMetric], - period: datetime.timedelta, - step: datetime.timedelta = datetime.timedelta(minutes=30), + period: timedelta, + step: timedelta = timedelta(minutes=30), ) -> PodsTimeData: """ ResourceHistoryData: The gathered resource history data. """ logger.debug(f"Gathering {LoaderClass.__name__} metric for {object}") - metric_loader = LoaderClass(self.prometheus, self.name, self.executor) + metric_loader = LoaderClass(self.prometheus, self.name(), self.executor) data = await metric_loader.load_data(object, period, step) if len(data) == 0: @@ -147,60 +200,150 @@ async def gather_data( elif "Memory" in LoaderClass.__name__: object.add_warning("NoPrometheusMemoryMetrics") - logger.warning( - f"{metric_loader.service_name} returned no {metric_loader.__class__.__name__} metrics for {object}" - ) + if LoaderClass.warning_on_no_data: + logger.warning( + f"{metric_loader.service_name} returned no {metric_loader.__class__.__name__} metrics for {object}" + ) return data - async def load_pods(self, object: K8sObjectData, period: datetime.timedelta) -> list[PodData]: + async def query_and_validate(self, prom_query) -> Any: + result = await self.query(prom_query) + if len(result) != 1: + logger.warning(f"Error: Expected exactly one result from Prometheus query. {prom_query}") + return None + + result_value = result[0].get("value") + + # Verify that the "value" list has exactly two elements (timestamp and value) + if not result_value: + logger.warning(f"Error: Missing value in Prometheus result. {prom_query}") + return None + + if len(result_value) != 2: + logger.warning(f"Error: Prometheus result values are not of expected size. {prom_query}") + return None + + return result_value[1] + + async def get_cluster_summary(self) -> Dict[str, Any]: + cluster_label = self.get_prometheus_cluster_label() + + # use this for queries with no labels. turn ', cluster="xxx"' to 'cluster="xxx"' + single_cluster_label = cluster_label.replace(",", "") + memory_query = f""" + sum(max by (instance) (machine_memory_bytes{{ {single_cluster_label} }})) + """ + cpu_query = f""" + sum(max by (instance) (machine_cpu_cores{{ {single_cluster_label} }})) + """ + kube_system_requests_mem = f""" + sum(max(kube_pod_container_resource_requests{{ namespace='kube-system', resource='memory' {cluster_label} }}) by (job, pod, container) ) + """ + kube_system_requests_cpu = f""" + sum(max(kube_pod_container_resource_requests{{ namespace='kube-system', resource='cpu' {cluster_label} }}) by (job, pod, container) ) + """ + try: + cluster_memory_result = await self.query_and_validate(memory_query) + cluster_cpu_result = await self.query_and_validate(cpu_query) + kube_system_mem_result = await self.query_and_validate(kube_system_requests_mem) + kube_system_cpu_result = await self.query_and_validate(kube_system_requests_cpu) + return { + "cluster_memory": float(cluster_memory_result), + "cluster_cpu": float(cluster_cpu_result), + "kube_system_mem_req": float(kube_system_mem_result), + "kube_system_cpu_req": float(kube_system_cpu_result) + } + + except Exception as e: + logger.error(f"Exception occurred while getting cluster summary: {e}") + return {} + + async def load_pods(self, object: K8sObjectData, period: timedelta) -> list[PodData]: """ List pods related to the object and add them to the object's pods list. Args: object (K8sObjectData): The Kubernetes object. - period (datetime.timedelta): The time period for which to gather data. + period (timedelta): The time period for which to gather data. """ logger.debug(f"Adding historic pods for {object}") - days_literal = min(int(period.total_seconds()) // 60 // 24, 32) + days_literal = min(int(period.total_seconds()) // 3600 // 24, 32) period_literal = f"{days_literal}d" - pod_owners: list[str] + pod_owners: Iterable[str] pod_owner_kind: str cluster_label = self.get_prometheus_cluster_label() if object.kind in ["Deployment", "Rollout"]: replicasets = await self.query( f""" - kube_replicaset_owner{{ - owner_name="{object.name}", - owner_kind="{object.kind}", - namespace="{object.namespace}" - {cluster_label} - }}[{period_literal}] + kube_replicaset_owner{{ + owner_name="{object.name}", + owner_kind="{object.kind}", + namespace="{object.namespace}" + {cluster_label} + }}[{period_literal}] """ ) - pod_owners = [replicaset["metric"]["replicaset"] for replicaset in replicasets] + pod_owners = {replicaset["metric"]["replicaset"] for replicaset in replicasets} pod_owner_kind = "ReplicaSet" del replicasets - else: - pod_owners = [object.name] - pod_owner_kind = object.kind - owners_regex = "|".join(pod_owners) - related_pods_result = await self.query( - f""" - last_over_time( - kube_pod_owner{{ - owner_name=~"{owners_regex}", - owner_kind="{pod_owner_kind}", + elif object.kind == "DeploymentConfig": + replication_controllers = await self.query( + f""" + kube_replicationcontroller_owner{{ + owner_name="{object.name}", + owner_kind="{object.kind}", namespace="{object.namespace}" {cluster_label} }}[{period_literal}] - ) - """ - ) + """ + ) + pod_owners = { + repl_controller["metric"]["replicationcontroller"] for repl_controller in replication_controllers + } + pod_owner_kind = "ReplicationController" + + del replication_controllers + elif object.kind == "CronJob": + jobs = await self.query( + f""" + kube_job_owner{{ + owner_name="{object.name}", + owner_kind="{object.kind}", + namespace="{object.namespace}" + {cluster_label} + }}[{period_literal}] + """ + ) + pod_owners = {job["metric"]["job_name"] for job in jobs} + pod_owner_kind = "Job" + + del jobs + else: + pod_owners = [object.name] + pod_owner_kind = object.kind + + related_pods_result = [] + batch_size = int(os.environ.get("KRR_OWNER_BATCH_SIZE", 100)) + for owner_group in batched(pod_owners, batch_size): + owners_regex = "|".join(owner_group) + related_pods_result_item = await self.query( + f""" + last_over_time( + kube_pod_owner{{ + owner_name=~"{owners_regex}", + owner_kind="{pod_owner_kind}", + namespace="{object.namespace}" + {cluster_label} + }}[{period_literal}] + ) + """ + ) + related_pods_result.extend(related_pods_result_item) if related_pods_result == []: return [] diff --git a/robusta_krr/core/integrations/prometheus/metrics_service/victoria_metrics_service.py b/robusta_krr/core/integrations/prometheus/metrics_service/victoria_metrics_service.py index 451b23b3..e8fbcd02 100644 --- a/robusta_krr/core/integrations/prometheus/metrics_service/victoria_metrics_service.py +++ b/robusta_krr/core/integrations/prometheus/metrics_service/victoria_metrics_service.py @@ -19,8 +19,8 @@ def find_metrics_url(self, *, api_client: Optional[ApiClient] = None) -> Optiona """ url = super().find_url( selectors=[ - # "app.kubernetes.io/name=vmsingle", - # "app.kubernetes.io/name=victoria-metrics-single", + "app.kubernetes.io/name=vmsingle", + "app.kubernetes.io/name=victoria-metrics-single", ] ) if url is None: @@ -30,7 +30,8 @@ def find_metrics_url(self, *, api_client: Optional[ApiClient] = None) -> Optiona "app=vmselect", ] ) - url = f"{url}/select/0/prometheus/" + if url is not None: + url = f"{url}/select/0/prometheus/" return url @@ -41,6 +42,10 @@ class VictoriaMetricsService(PrometheusMetricsService): service_discovery = VictoriaMetricsDiscovery + @classmethod + def name(cls) -> str: + return "Victoria Metrics" + def check_connection(self): """ Checks the connection to Prometheus. diff --git a/robusta_krr/core/integrations/prometheus/prometheus_utils.py b/robusta_krr/core/integrations/prometheus/prometheus_utils.py index e40c2805..e561af24 100644 --- a/robusta_krr/core/integrations/prometheus/prometheus_utils.py +++ b/robusta_krr/core/integrations/prometheus/prometheus_utils.py @@ -39,7 +39,7 @@ def generate_prometheus_config( credentials = credentials.get_frozen_credentials() region = settings.eks_managed_prom_region if settings.eks_managed_prom_region else session.region_name access_key = settings.eks_access_key if settings.eks_access_key else credentials.access_key - secret_key = settings.eks_secret_key if settings.eks_secret_key else credentials.secret_key + secret_key = settings.eks_secret_key.get_secret_value() if settings.eks_secret_key else credentials.secret_key service_name = settings.eks_service_name if settings.eks_secret_key else "aps" if not region: raise Exception("No eks region specified") @@ -53,7 +53,7 @@ def generate_prometheus_config( ) # coralogix config if settings.coralogix_token: - return CoralogixPrometheusConfig(**baseconfig, prometheus_token=settings.coralogix_token) + return CoralogixPrometheusConfig(**baseconfig, prometheus_token=settings.coralogix_token.get_secret_value()) if isinstance(metrics_service, VictoriaMetricsService): return VictoriaMetricsPrometheusConfig(**baseconfig) return PrometheusConfig(**baseconfig) diff --git a/robusta_krr/core/models/allocations.py b/robusta_krr/core/models/allocations.py index cde5aa08..0a8d0c5c 100644 --- a/robusta_krr/core/models/allocations.py +++ b/robusta_krr/core/models/allocations.py @@ -25,7 +25,30 @@ class ResourceType(str, enum.Enum): Self = TypeVar("Self", bound="ResourceAllocations") - +NONE_LITERAL = "unset" +NAN_LITERAL = "?" + +def format_recommendation_value(value: RecommendationValue) -> str: + if value is None: + return NONE_LITERAL + elif isinstance(value, str): + return NAN_LITERAL + else: + return resource_units.format(value) + +def format_diff(allocated, recommended, selector, multiplier=1, colored=False) -> str: + if recommended is None or isinstance(recommended.value, str) or selector != "requests": + return "" + else: + reccomended_val = recommended.value if isinstance(recommended.value, (int, float)) else 0 + allocated_val = allocated if isinstance(allocated, (int, float)) else 0 + diff_val = reccomended_val - allocated_val + if colored: + diff_sign = "[green]+[/green]" if diff_val >= 0 else "[red]-[/red]" + else: + diff_sign = "+" if diff_val >= 0 else "-" + return f"{diff_sign}{format_recommendation_value(abs(diff_val) * multiplier)}" + class ResourceAllocations(pd.BaseModel): requests: dict[ResourceType, RecommendationValue] limits: dict[ResourceType, RecommendationValue] diff --git a/robusta_krr/core/models/config.py b/robusta_krr/core/models/config.py index 3d6aabc0..6a55bd3c 100644 --- a/robusta_krr/core/models/config.py +++ b/robusta_krr/core/models/config.py @@ -23,6 +23,8 @@ class Config(pd.BaseSettings): clusters: Union[list[str], Literal["*"], None] = None kubeconfig: Optional[str] = None + impersonate_user: Optional[str] = None + impersonate_group: Optional[str] = None namespaces: Union[list[str], Literal["*"]] = pd.Field("*") resources: Union[list[KindLiteral], Literal["*"]] = pd.Field("*") selector: Optional[str] = None @@ -33,45 +35,61 @@ class Config(pd.BaseSettings): # Prometheus Settings prometheus_url: Optional[str] = pd.Field(None) - prometheus_auth_header: Optional[str] = pd.Field(None) - prometheus_other_headers: dict[str, str] = pd.Field(default_factory=dict) + prometheus_auth_header: Optional[pd.SecretStr] = pd.Field(None) + prometheus_other_headers: dict[str, pd.SecretStr] = pd.Field(default_factory=dict) prometheus_ssl_enabled: bool = pd.Field(False) prometheus_cluster_label: Optional[str] = pd.Field(None) prometheus_label: Optional[str] = pd.Field(None) eks_managed_prom: bool = pd.Field(False) eks_managed_prom_profile_name: Optional[str] = pd.Field(None) eks_access_key: Optional[str] = pd.Field(None) - eks_secret_key: Optional[str] = pd.Field(None) + eks_secret_key: Optional[pd.SecretStr] = pd.Field(None) eks_service_name: Optional[str] = pd.Field(None) eks_managed_prom_region: Optional[str] = pd.Field(None) - coralogix_token: Optional[str] = pd.Field(None) + coralogix_token: Optional[pd.SecretStr] = pd.Field(None) + openshift: bool = pd.Field(False) # Threading settings max_workers: int = pd.Field(6, ge=1) # Logging Settings format: str + show_cluster_name: bool strategy: str log_to_stderr: bool + width: Optional[int] = pd.Field(None, ge=1) + show_severity: bool = True - # Outputs Settings + # Output Settings file_output: Optional[str] = pd.Field(None) + file_output_dynamic: bool = pd.Field(False) slack_output: Optional[str] = pd.Field(None) other_args: dict[str, Any] # Internal inside_cluster: bool = False - console: Optional[Console] = None + _logging_console: Optional[Console] = pd.PrivateAttr(None) def __init__(self, **kwargs: Any) -> None: super().__init__(**kwargs) - self.console = Console(stderr=self.log_to_stderr) @property def Formatter(self) -> formatters.FormatterFunc: return formatters.find(self.format) + @pd.validator("prometheus_url") + def validate_prometheus_url(cls, v: Optional[str]): + if v is None: + return None + + if not v.startswith("https://") and not v.startswith("http://"): + raise Exception("--prometheus-url must start with https:// or http://") + + v = v.removesuffix("/") + + return v + @pd.validator("prometheus_other_headers", pre=True) def validate_prometheus_other_headers(cls, headers: Union[list[str], dict[str, str]]) -> dict[str, str]: if isinstance(headers, dict): @@ -84,14 +102,21 @@ def validate_namespaces(cls, v: Union[list[str], Literal["*"]]) -> Union[list[st if v == []: return "*" + if isinstance(v, list): + for val in v: + if val.startswith("*"): + raise ValueError("Namespace's values cannot start with an asterisk (*)") + return [val.lower() for val in v] @pd.validator("resources", pre=True) def validate_resources(cls, v: Union[list[str], Literal["*"]]) -> Union[list[str], Literal["*"]]: - if v == []: + if v == "*" or v == []: return "*" - return [val.lower() for val in v] + # NOTE: KindLiteral.__args__ is a tuple of all possible values of KindLiteral + # So this will preserve the big and small letters of the resource + return [next(r for r in KindLiteral.__args__ if r.lower() == val.lower()) for val in v] def create_strategy(self) -> AnyStrategy: StrategyType = AnyStrategy.find(self.strategy) @@ -112,15 +137,32 @@ def validate_format(cls, v: str) -> str: def context(self) -> Optional[str]: return self.clusters[0] if self.clusters != "*" and self.clusters else None + @property + def logging_console(self) -> Console: + if getattr(self, "_logging_console") is None: + self._logging_console = Console(file=sys.stderr if self.log_to_stderr else sys.stdout, width=self.width) + return self._logging_console + def load_kubeconfig(self) -> None: try: - config.load_incluster_config() - except ConfigException: config.load_kube_config(config_file=self.kubeconfig, context=self.context) self.inside_cluster = False - else: + except ConfigException: + config.load_incluster_config() self.inside_cluster = True + def get_kube_client(self, context: Optional[str] = None): + if context is None: + return None + + api_client = config.new_client_from_config(context=context, config_file=self.kubeconfig) + if self.impersonate_user is not None: + # trick copied from https://github.com/kubernetes-client/python/issues/362 + api_client.set_default_header("Impersonate-User", self.impersonate_user) + if self.impersonate_group is not None: + api_client.set_default_header("Impersonate-Group", self.impersonate_group) + return api_client + @staticmethod def set_config(config: Config) -> None: global _config @@ -130,11 +172,15 @@ def set_config(config: Config) -> None: level="NOTSET", format="%(message)s", datefmt="[%X]", - handlers=[RichHandler(console=Console(file=sys.stderr if settings.log_to_stderr else sys.stdout))], + handlers=[RichHandler(console=config.logging_console)], ) logging.getLogger("").setLevel(logging.CRITICAL) logger.setLevel(logging.DEBUG if config.verbose else logging.CRITICAL if config.quiet else logging.INFO) + @staticmethod + def get_config() -> Optional[Config]: + return _config + # NOTE: This class is just a proxy for _config. # Import settings from this module and use it like it is just a config object. diff --git a/robusta_krr/core/models/objects.py b/robusta_krr/core/models/objects.py index 47b55bfa..b80cf041 100644 --- a/robusta_krr/core/models/objects.py +++ b/robusta_krr/core/models/objects.py @@ -6,8 +6,9 @@ from robusta_krr.core.models.allocations import ResourceAllocations from robusta_krr.utils.batched import batched +from kubernetes.client.models import V1LabelSelector -KindLiteral = Literal["Deployment", "DaemonSet", "StatefulSet", "Job", "Rollout"] +KindLiteral = Literal["Deployment", "DaemonSet", "StatefulSet", "Job", "CronJob", "Rollout", "DeploymentConfig"] class PodData(pd.BaseModel): @@ -71,6 +72,16 @@ def deleted_pods_count(self) -> int: def pods_count(self) -> int: return len(self.pods) + @property + def selector(self) -> V1LabelSelector: + if self._api_resource is None: + raise ValueError("api_resource is not set") + + if self.kind == 'CronJob': + return self._api_resource.spec.job_template.spec.selector + else: + return self._api_resource.spec.selector + def split_into_batches(self, n: int) -> list[K8sObjectData]: """ Batch this object into n objects, splitting the pods into batches of size n. diff --git a/robusta_krr/core/models/result.py b/robusta_krr/core/models/result.py index d782ae7a..827f8690 100644 --- a/robusta_krr/core/models/result.py +++ b/robusta_krr/core/models/result.py @@ -8,6 +8,7 @@ from robusta_krr.core.models.allocations import RecommendationValue, ResourceAllocations, ResourceType from robusta_krr.core.models.objects import K8sObjectData from robusta_krr.core.models.severity import Severity +from robusta_krr.core.models.config import Config class Recommendation(pd.BaseModel): @@ -16,8 +17,8 @@ class Recommendation(pd.BaseModel): class ResourceRecommendation(pd.BaseModel): - requests: dict[ResourceType, Recommendation] - limits: dict[ResourceType, Recommendation] + requests: dict[ResourceType, Union[RecommendationValue, Recommendation]] + limits: dict[ResourceType, Union[RecommendationValue, Recommendation]] info: dict[ResourceType, Optional[str]] @@ -39,6 +40,7 @@ def calculate(cls, object: K8sObjectData, recommendation: ResourceAllocations) - current_severity = Severity.calculate(current, recommended, resource_type) + #TODO: consider... changing field after model created doesn't validate it. getattr(recommendation_processed, selector)[resource_type] = Recommendation( value=recommended, severity=current_severity ) @@ -63,6 +65,9 @@ class Result(pd.BaseModel): resources: list[str] = ["cpu", "memory"] description: Optional[str] = None strategy: StrategyData + errors: list[dict[str, Any]] = pd.Field(default_factory=list) + clusterSummary: dict[str, Any] = {} + config: Optional[Config] = pd.Field(default_factory=Config.get_config) def __init__(self, *args, **kwargs) -> None: super().__init__(*args, **kwargs) diff --git a/robusta_krr/core/runner.py b/robusta_krr/core/runner.py index 312efdda..9a8b1a81 100644 --- a/robusta_krr/core/runner.py +++ b/robusta_krr/core/runner.py @@ -6,8 +6,9 @@ import warnings from concurrent.futures import ThreadPoolExecutor from typing import Optional, Union - +from datetime import timedelta, datetime from prometrix import PrometheusNotFound +from rich.console import Console from slack_sdk import WebClient from robusta_krr.core.abstract.strategies import ResourceRecommendation, RunResult @@ -16,14 +17,26 @@ from robusta_krr.core.models.config import settings from robusta_krr.core.models.objects import K8sObjectData from robusta_krr.core.models.result import ResourceAllocations, ResourceScan, ResourceType, Result, StrategyData -from robusta_krr.utils.logo import ASCII_LOGO -from robusta_krr.utils.print import print +from robusta_krr.utils.intro import load_intro_message from robusta_krr.utils.progress_bar import ProgressBar -from robusta_krr.utils.version import get_version +from robusta_krr.utils.version import get_version, load_latest_version +from robusta_krr.utils.patch import create_monkey_patches logger = logging.getLogger("krr") +def custom_print(*objects, rich: bool = True, force: bool = False) -> None: + """ + A wrapper around `rich.print` that prints only if `settings.quiet` is False. + """ + print_func = settings.logging_console.print if rich else print + if not settings.quiet or force: + print_func(*objects) # type: ignore + + +class CriticalRunnerException(Exception): ... + + class Runner: EXPECTED_EXCEPTIONS = (KeyboardInterrupt, PrometheusNotFound) @@ -33,6 +46,8 @@ def __init__(self) -> None: self._metrics_service_loaders_error_logged: set[Exception] = set() self._strategy = settings.create_strategy() + self.errors: list[dict] = [] + # This executor will be running calculations for recommendations self._executor = ThreadPoolExecutor(settings.max_workers) @@ -54,31 +69,63 @@ def _get_prometheus_loader(self, cluster: Optional[str]) -> Optional[PrometheusM return result - def _greet(self) -> None: + @staticmethod + def __parse_version_string(version: str) -> tuple[int, ...]: + version_trimmed = version.replace("-dev", "").replace("v", "") + return tuple(map(int, version_trimmed.split("."))) + + def __check_newer_version_available(self, current_version: str, latest_version: str) -> bool: + try: + current_version_parsed = self.__parse_version_string(current_version) + latest_version_parsed = self.__parse_version_string(latest_version) + + if current_version_parsed < latest_version_parsed: + return True + except Exception: + logger.debug("An error occurred while checking for a new version", exc_info=True) + return False + + async def _greet(self) -> None: if settings.quiet: return - print(ASCII_LOGO) - print(f"Running Robusta's KRR (Kubernetes Resource Recommender) {get_version()}") - print(f"Using strategy: {self._strategy}") - print(f"Using formatter: {settings.format}") - print("") + current_version = get_version() + intro_message, latest_version = await asyncio.gather(load_intro_message(), load_latest_version()) + + custom_print(intro_message) + custom_print(f"\nRunning Robusta's KRR (Kubernetes Resource Recommender) {current_version}") + custom_print(f"Using strategy: {self._strategy}") + custom_print(f"Using formatter: {settings.format}") + if latest_version is not None and self.__check_newer_version_available(current_version, latest_version): + custom_print(f"[yellow bold]A newer version of KRR is available: {latest_version}[/yellow bold]") + custom_print("") def _process_result(self, result: Result) -> None: + result.errors = self.errors + Formatter = settings.Formatter formatted = result.format(Formatter) rich = getattr(Formatter, "__rich_console__", False) - print(formatted, rich=rich, force=True) - if settings.file_output or settings.slack_output: - if settings.file_output: + custom_print(formatted, rich=rich, force=True) + + if settings.file_output_dynamic or settings.file_output or settings.slack_output: + if settings.file_output_dynamic: + current_datetime = datetime.now().strftime("%Y%m%d%H%M%S") + file_name = f"krr-{current_datetime}.{settings.format}" + logger.info(f"Writing output to file: {file_name}") + elif settings.file_output: file_name = settings.file_output elif settings.slack_output: file_name = settings.slack_output + with open(file_name, "w") as target_file: - sys.stdout = target_file - print(formatted, rich=rich, force=True) - sys.stdout = sys.stdout + # don't use rich when writing a csv or html to avoid line wrapping etc + if settings.format == "csv" or settings.format == "html": + target_file.write(formatted) + else: + console = Console(file=target_file, width=settings.width) + console.print(formatted) if settings.slack_output: client = WebClient(os.environ["SLACK_BOT_TOKEN"]) warnings.filterwarnings("ignore", category=UserWarning) @@ -128,11 +175,11 @@ def _format_result(self, result: RunResult) -> RunResult: for resource, recommendation in result.items() } - async def _calculate_object_recommendations(self, object: K8sObjectData) -> RunResult: + async def _calculate_object_recommendations(self, object: K8sObjectData) -> Optional[RunResult]: prometheus_loader = self._get_prometheus_loader(object.cluster) if prometheus_loader is None: - return {resource: ResourceRecommendation.undefined("Prometheus not found") for resource in ResourceType} + return None object.pods = await prometheus_loader.load_pods(object, self._strategy.settings.history_timedelta) if object.pods == []: @@ -140,13 +187,12 @@ async def _calculate_object_recommendations(self, object: K8sObjectData) -> RunR object.pods = await self._k8s_loader.load_pods(object) # NOTE: Kubernetes API returned pods, but Prometheus did not + # This might happen with fast executing jobs if object.pods != []: object.add_warning("NoPrometheusPods") logger.warning( - f"Was not able to load any pods for {object} from Prometheus.\n\t" - "This could mean that Prometheus is missing some required metrics.\n\t" - "Loaded pods from Kubernetes API instead.\n\t" - "See more info at https://github.com/robusta-dev/krr#requirements " + f"Was not able to load any pods for {object} from Prometheus. " + "Loaded pods from Kubernetes API instead." ) metrics = await prometheus_loader.gather_data( @@ -164,11 +210,53 @@ async def _calculate_object_recommendations(self, object: K8sObjectData) -> RunR logger.info(f"Calculated recommendations for {object} (using {len(metrics)} metrics)") return self._format_result(result) - async def _gather_object_allocations(self, k8s_object: K8sObjectData) -> ResourceScan: + async def _check_data_availability(self, cluster: Optional[str]) -> None: + prometheus_loader = self._get_prometheus_loader(cluster) + if prometheus_loader is None: + return + + try: + history_range = await prometheus_loader.get_history_range(timedelta(hours=5)) + except ValueError: + logger.info( + f"Unable to check how much historical data is available on cluster {cluster}. Will assume it is sufficient and calculate recommendations anyway. (You can usually ignore this. Not all Prometheus compatible metric stores support checking history settings.)" + ) + self.errors.append( + { + "name": "HistoryRangeError", + } + ) + return + + logger.debug(f"History range for {cluster}: {history_range}") + enough_data = self._strategy.settings.history_range_enough(history_range) + + if not enough_data: + logger.warning(f"Not enough history available for cluster {cluster}.") + try_after = history_range[0] + self._strategy.settings.history_timedelta + + logger.warning( + "If the cluster is freshly installed, it might take some time for the enough data to be available." + ) + logger.warning( + f"Enough data is estimated to be available after {try_after}, " + "but will try to calculate recommendations anyway." + ) + self.errors.append( + { + "name": "NotEnoughHistoryAvailable", + "retry_after": try_after, + } + ) + + async def _gather_object_allocations(self, k8s_object: K8sObjectData) -> Optional[ResourceScan]: recommendation = await self._calculate_object_recommendations(k8s_object) self.__progressbar.progress() + if recommendation is None: + return None + return ResourceScan.calculate( k8s_object, ResourceAllocations( @@ -182,20 +270,31 @@ async def _collect_result(self) -> Result: clusters = await self._k8s_loader.list_clusters() if clusters and len(clusters) > 1 and settings.prometheus_url: # this can only happen for multi-cluster querying a single centeralized prometheus - # In this scenario we dont yet support determining which metrics belong to which cluster so the reccomendation can be incorrect + # In this scenario we dont yet support determining + # which metrics belong to which cluster so the reccomendation can be incorrect raise ClusterNotSpecifiedException( - f"Cannot scan multiple clusters for this prometheus, Rerun with the flag `-c ` where is one of {clusters}" + f"Cannot scan multiple clusters for this prometheus, " + f"Rerun with the flag `-c ` where is one of {clusters}" ) logger.info(f'Using clusters: {clusters if clusters is not None else "inner cluster"}') + if clusters is None: + await self._check_data_availability(None) + else: + await asyncio.gather(*[self._check_data_availability(cluster) for cluster in clusters]) + with ProgressBar(title="Calculating Recommendation") as self.__progressbar: - scans_tasks = [ - asyncio.create_task(self._gather_object_allocations(k8s_object)) - async for k8s_object in self._k8s_loader.list_scannable_objects(clusters) - ] + workloads = await self._k8s_loader.list_scannable_objects(clusters) + if not clusters or len(clusters) == 1: + cluster_name = clusters[0] if clusters else None # its none if krr is running inside cluster + prometheus_loader = self._get_prometheus_loader(cluster_name) + cluster_summary = await prometheus_loader.get_cluster_summary() + else: + cluster_summary = {} + scans = await asyncio.gather(*[self._gather_object_allocations(k8s_object) for k8s_object in workloads]) - scans = await asyncio.gather(*scans_tasks) + successful_scans = [scan for scan in scans if scan is not None] if len(scans) == 0: logger.warning("Current filters resulted in no objects available to scan.") @@ -204,31 +303,32 @@ async def _collect_result(self) -> Result: logger.warning( "Note that you are using the '*' namespace filter, which by default excludes kube-system." ) - return Result( - scans=[], - strategy=StrategyData(name=str(self._strategy).lower(), settings=self._strategy.settings.dict()), - ) + raise CriticalRunnerException("No objects available to scan.") + elif len(successful_scans) == 0: + raise CriticalRunnerException("No successful scans were made. Check the logs for more information.") return Result( scans=scans, - description=self._strategy.description, + description=f"[b]{self._strategy.display_name.title()} Strategy[/b]\n\n{self._strategy.description}", strategy=StrategyData( name=str(self._strategy).lower(), settings=self._strategy.settings.dict(), ), + clusterSummary=cluster_summary ) - async def run(self) -> None: - self._greet() - + async def run(self) -> int: + """Run the Runner. The return value is the exit code of the program.""" + await self._greet() try: settings.load_kubeconfig() except Exception as e: logger.error(f"Could not load kubernetes configuration: {e}") logger.error("Try to explicitly set --context and/or --kubeconfig flags.") - return + return 1 # Exit with error try: + create_monkey_patches() # eks has a lower step limit than other types of prometheus, it will throw an error step_count = self._strategy.settings.history_duration * 60 / self._strategy.settings.timeframe_duration if settings.eks_managed_prom and step_count > 11000: @@ -240,8 +340,13 @@ async def run(self) -> None: self._strategy.settings.timeframe_duration = min_step result = await self._collect_result() + logger.info("Result collected, displaying...") self._process_result(result) - except ClusterNotSpecifiedException as e: - logger.error(e) + except (ClusterNotSpecifiedException, CriticalRunnerException) as e: + logger.critical(e) + return 1 # Exit with error except Exception: logger.exception("An unexpected error occurred") + return 1 # Exit with error + else: + return 0 # Exit with success diff --git a/robusta_krr/formatters/__init__.py b/robusta_krr/formatters/__init__.py index 325cf016..7e1d1641 100644 --- a/robusta_krr/formatters/__init__.py +++ b/robusta_krr/formatters/__init__.py @@ -2,3 +2,5 @@ from .pprint import pprint from .table import table from .yaml import yaml +from .csv import csv +from .html import html diff --git a/robusta_krr/formatters/csv.py b/robusta_krr/formatters/csv.py new file mode 100644 index 00000000..d32f5f94 --- /dev/null +++ b/robusta_krr/formatters/csv.py @@ -0,0 +1,103 @@ +import csv +import io +import itertools +import logging +from typing import Any + +from robusta_krr.core.abstract import formatters +from robusta_krr.core.models.allocations import NONE_LITERAL, format_diff, format_recommendation_value +from robusta_krr.core.models.config import settings +from robusta_krr.core.models.result import ResourceScan, ResourceType, Result + +logger = logging.getLogger("krr") + + +NAMESPACE_HEADER = "Namespace" +NAME_HEADER = "Name" +PODS_HEADER = "Pods" +OLD_PODS_HEADER = "Old Pods" +TYPE_HEADER = "Type" +CONTAINER_HEADER = "Container" +CLUSTER_HEADER = "Cluster" +SEVERITY_HEADER = "Severity" + +RESOURCE_DIFF_HEADER = "{resource_name} Diff" +RESOURCE_REQUESTS_HEADER = "{resource_name} Requests" +RESOURCE_LIMITS_HEADER = "{resource_name} Limits" + + +def _format_request_str(item: ResourceScan, resource: ResourceType, selector: str) -> str: + allocated = getattr(item.object.allocations, selector)[resource] + recommended = getattr(item.recommended, selector)[resource] + + if allocated is None and recommended.value is None: + return f"{NONE_LITERAL}" + + diff = format_diff(allocated, recommended, selector) + if diff != "": + diff = f"({diff}) " + + return diff + format_recommendation_value(allocated) + " -> " + format_recommendation_value(recommended.value) + + +def _format_total_diff(item: ResourceScan, resource: ResourceType, pods_current: int) -> str: + selector = "requests" + allocated = getattr(item.object.allocations, selector)[resource] + recommended = getattr(item.recommended, selector)[resource] + + return format_diff(allocated, recommended, selector, pods_current) + + +@formatters.register("csv") +def csv_exporter(result: Result) -> str: + # We need to order the resource columns so that they are in the format of Namespace,Name,Pods,Old Pods,Type,Container,CPU Diff,CPU Requests,CPU Limits,Memory Diff,Memory Requests,Memory Limits + csv_columns = ["Namespace", "Name", "Pods", "Old Pods", "Type", "Container"] + + if settings.show_cluster_name: + csv_columns.insert(0, "Cluster") + + if settings.show_severity: + csv_columns.append("Severity") + + for resource in ResourceType: + csv_columns.append(RESOURCE_DIFF_HEADER.format(resource_name=resource.name)) + csv_columns.append(RESOURCE_REQUESTS_HEADER.format(resource_name=resource.name)) + csv_columns.append(RESOURCE_LIMITS_HEADER.format(resource_name=resource.name)) + + output = io.StringIO() + csv_writer = csv.DictWriter(output, csv_columns, extrasaction="ignore") + csv_writer.writeheader() + + for _, group in itertools.groupby( + enumerate(result.scans), key=lambda x: (x[1].object.cluster, x[1].object.namespace, x[1].object.name) + ): + group_items = list(group) + + for j, (_, item) in enumerate(group_items): + full_info_row = j == 0 + + row: dict[str, Any] = { + NAMESPACE_HEADER: item.object.namespace if full_info_row else "", + NAME_HEADER: item.object.name if full_info_row else "", + PODS_HEADER: f"{item.object.current_pods_count}" if full_info_row else "", + OLD_PODS_HEADER: f"{item.object.deleted_pods_count}" if full_info_row else "", + TYPE_HEADER: item.object.kind if full_info_row else "", + CONTAINER_HEADER: item.object.container, + SEVERITY_HEADER: item.severity, + CLUSTER_HEADER: item.object.cluster, + } + + for resource in ResourceType: + row[RESOURCE_DIFF_HEADER.format(resource_name=resource.name)] = _format_total_diff( + item, resource, item.object.current_pods_count + ) + row[RESOURCE_REQUESTS_HEADER.format(resource_name=resource.name)] = _format_request_str( + item, resource, "requests" + ) + row[RESOURCE_LIMITS_HEADER.format(resource_name=resource.name)] = _format_request_str( + item, resource, "limits" + ) + + csv_writer.writerow(row) + + return output.getvalue() diff --git a/robusta_krr/formatters/html.py b/robusta_krr/formatters/html.py new file mode 100644 index 00000000..a028d969 --- /dev/null +++ b/robusta_krr/formatters/html.py @@ -0,0 +1,12 @@ +from rich.console import Console + +from robusta_krr.core.abstract import formatters +from robusta_krr.core.models.result import Result +from .table import table + +@formatters.register("html") +def html(result: Result) -> str: + console = Console(record=True) + table_output = table(result) + console.print(table_output) + return console.export_html(inline_styles=True) diff --git a/robusta_krr/formatters/table.py b/robusta_krr/formatters/table.py index 9474a984..1c5860b0 100644 --- a/robusta_krr/formatters/table.py +++ b/robusta_krr/formatters/table.py @@ -4,8 +4,9 @@ from rich.table import Table from robusta_krr.core.abstract import formatters -from robusta_krr.core.models.allocations import RecommendationValue +from robusta_krr.core.models.allocations import RecommendationValue, format_recommendation_value, format_diff, NONE_LITERAL, NAN_LITERAL from robusta_krr.core.models.result import ResourceScan, ResourceType, Result +from robusta_krr.core.models.config import settings from robusta_krr.utils import resource_units NONE_LITERAL = "unset" @@ -42,6 +43,11 @@ def __calc_diff(allocated, recommended, selector, multiplier=1) -> str: diff_sign = "[green]+[/green]" if diff_val >= 0 else "[red]-[/red]" return f"{diff_sign}{_format(abs(diff_val) * multiplier)}" +DEFAULT_INFO_COLOR = "grey27" +INFO_COLORS: dict[str, str] = { + "OOMKill detected": "dark_red", +} + def _format_request_str(item: ResourceScan, resource: ResourceType, selector: str) -> str: allocated = getattr(item.object.allocations, selector)[resource] @@ -52,18 +58,24 @@ def _format_request_str(item: ResourceScan, resource: ResourceType, selector: st if allocated is None and recommended.value is None: return f"[{severity.color}]{NONE_LITERAL}[/{severity.color}]" - diff = __calc_diff(allocated, recommended, selector) + diff = format_diff(allocated, recommended, selector, colored=True) if diff != "": diff = f"({diff}) " + if info is None: + info_formatted = "" + else: + color = INFO_COLORS.get(info, DEFAULT_INFO_COLOR) + info_formatted = f"\n[{color}]({info})[/{color}]" + return ( diff + f"[{severity.color}]" - + _format(allocated) + + format_recommendation_value(allocated) + " -> " - + _format(recommended.value) + + format_recommendation_value(recommended.value) + f"[/{severity.color}]" - + (f" [grey27]({info})[/grey27]" if info else "") + + info_formatted ) @@ -72,7 +84,13 @@ def _format_total_diff(item: ResourceScan, resource: ResourceType, pods_current: allocated = getattr(item.object.allocations, selector)[resource] recommended = getattr(item.recommended, selector)[resource] - return __calc_diff(allocated, recommended, selector, pods_current) + # if we have more than one pod, say so (this explains to the user why the total is different than the recommendation) + if pods_current == 1: + pods_info = "" + else: + pods_info = f"\n({pods_current} pods)" + + return f"{format_diff(allocated, recommended, selector, pods_current, colored=True)}{pods_info}" @formatters.register(rich_console=True) @@ -97,7 +115,7 @@ def table(result: Result) -> Table: cluster_count = len(set(item.object.cluster for item in result.scans)) table.add_column("Number", justify="right", no_wrap=True) - if cluster_count > 1: + if cluster_count > 1 or settings.show_cluster_name: table.add_column("Cluster", style="cyan") table.add_column("Namespace", style="cyan") table.add_column("Name", style="cyan") @@ -124,7 +142,7 @@ def table(result: Result) -> Table: full_info_row = j == 0 cells: list[Any] = [f"[{item.severity.color}]{i + 1}.[/{item.severity.color}]"] - if cluster_count > 1: + if cluster_count > 1 or settings.show_cluster_name: cells.append(item.object.cluster if full_info_row else "") cells += [ item.object.namespace if full_info_row else "", diff --git a/robusta_krr/main.py b/robusta_krr/main.py index 7f4a3698..e5101fad 100755 --- a/robusta_krr/main.py +++ b/robusta_krr/main.py @@ -8,9 +8,11 @@ from typing import List, Optional from uuid import UUID +import click import typer import urllib3 from pydantic import ValidationError # noqa: F401 +from typer.models import OptionInfo from robusta_krr import formatters as concrete_formatters # noqa: F401 from robusta_krr.core.abstract import formatters @@ -19,7 +21,12 @@ from robusta_krr.core.runner import Runner from robusta_krr.utils.version import get_version -app = typer.Typer(pretty_exceptions_show_locals=False, pretty_exceptions_short=True, no_args_is_help=True) +app = typer.Typer( + pretty_exceptions_show_locals=False, + pretty_exceptions_short=True, + no_args_is_help=True, + help="IMPORTANT: Run `krr simple --help` to see all cli flags!", +) # NOTE: Disable insecure request warnings, as it might be expected to use self-signed certificates inside the cluster urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) @@ -39,7 +46,7 @@ def __process_type(_T: type) -> type: elif _T is Optional: return Optional[{__process_type(_T.__args__[0])}] # type: ignore else: - return str # It the type is unknown, just use str and let pydantic handle it + return str # If the type is unknown, just use str and let pydantic handle it def load_commands() -> None: @@ -55,6 +62,18 @@ def run_strategy( help="Path to kubeconfig file. If not provided, will attempt to find it.", rich_help_panel="Kubernetes Settings", ), + impersonate_user: Optional[str] = typer.Option( + None, + "--as", + help="Impersonate a user, just like `kubectl --as`. For example, system:serviceaccount:default:krr-account.", + rich_help_panel="Kubernetes Settings", + ), + impersonate_group: Optional[str] = typer.Option( + None, + "--as-group", + help="Impersonate a user inside of a group, just like `kubectl --as-group`. For example, system:authenticated.", + rich_help_panel="Kubernetes Settings", + ), clusters: List[str] = typer.Option( None, "--context", @@ -73,14 +92,14 @@ def run_strategy( None, "--namespace", "-n", - help="List of namespaces to run on. By default, will run on all namespaces.", + help="List of namespaces to run on. By default, will run on all namespaces except 'kube-system'.", rich_help_panel="Kubernetes Settings", ), resources: List[str] = typer.Option( None, "--resource", "-r", - help="List of resources to run on (Deployment, StatefullSet, DaemonSet, Job, Rollout). By default, will run on all resources. Case insensitive.", + help="List of resources to run on (Deployment, StatefulSet, DaemonSet, Job, Rollout). By default, will run on all resources. Case insensitive.", rich_help_panel="Kubernetes Settings", ), selector: Optional[str] = typer.Option( @@ -171,6 +190,12 @@ def run_strategy( help="Adds the token needed to query Coralogix managed prometheus.", rich_help_panel="Prometheus Coralogix Settings", ), + openshift: bool = typer.Option( + False, + "--openshift", + help="Connect to Prometheus with a token read from /var/run/secrets/kubernetes.io/serviceaccount/token - recommended when running KRR inside an OpenShift cluster", + rich_help_panel="Prometheus Openshift Settings", + ), cpu_min_value: int = typer.Option( 10, "--cpu-min", @@ -197,6 +222,18 @@ def run_strategy( help=f"Output formatter ({', '.join(formatters.list_available())})", rich_help_panel="Logging Settings", ), + show_cluster_name: bool = typer.Option( + False, + "--show-cluster-name", + help="In table output, always show the cluster name even for a single cluster", + rich_help_panel="Output Settings", + ), + show_severity: bool = typer.Option( + True, + " /--exclude-severity", + help="Whether to include the severity in the output or not", + rich_help_panel="Output Settings", + ), verbose: bool = typer.Option( False, "--verbose", "-v", help="Enable verbose mode", rich_help_panel="Logging Settings" ), @@ -206,8 +243,23 @@ def run_strategy( log_to_stderr: bool = typer.Option( False, "--logtostderr", help="Pass logs to stderr", rich_help_panel="Logging Settings" ), + width: Optional[int] = typer.Option( + None, + "--width", + help="Width of the output. Will use console width by default.", + rich_help_panel="Logging Settings", + ), file_output: Optional[str] = typer.Option( - None, "--fileoutput", help="Print the output to a file", rich_help_panel="Output Settings" + None, + "--fileoutput", + help="Filename to write output to (if not specified, file output is disabled)", + rich_help_panel="Output Settings", + ), + file_output_dynamic: bool = typer.Option( + False, + "--fileoutput-dynamic", + help="Ignore --fileoutput and write files to the current directory in the format krr-{datetime}.{format} (e.g. krr-20240518223924.csv)", + rich_help_panel="Output Settings", ), slack_output: Optional[str] = typer.Option( None, @@ -218,10 +270,14 @@ def run_strategy( **strategy_args, ) -> None: f"""Run KRR using the `{_strategy_name}` strategy""" + if not show_severity and format != "csv": + raise click.BadOptionUsage("--exclude-severity", "--exclude-severity works only with format=csv") try: config = Config( kubeconfig=kubeconfig, + impersonate_user=impersonate_user, + impersonate_group=impersonate_group, clusters="*" if all_clusters else clusters, namespaces="*" if "*" in namespaces else namespaces, resources="*" if "*" in resources else resources, @@ -239,15 +295,20 @@ def run_strategy( eks_secret_key=eks_secret_key, eks_service_name=eks_service_name, coralogix_token=coralogix_token, + openshift=openshift, max_workers=max_workers, format=format, + show_cluster_name=show_cluster_name, verbose=verbose, cpu_min_value=cpu_min_value, memory_min_value=memory_min_value, quiet=quiet, log_to_stderr=log_to_stderr, + width=width, file_output=file_output, + file_output_dynamic=file_output_dynamic, slack_output=slack_output, + show_severity=show_severity, strategy=_strategy_name, other_args=strategy_args, ) @@ -256,7 +317,8 @@ def run_strategy( logger.exception("Error occured while parsing arguments") else: runner = Runner() - asyncio.run(runner.run()) + exit_code = asyncio.run(runner.run()) + raise typer.Exit(code=exit_code) run_strategy.__name__ = strategy_name signature = inspect.signature(run_strategy) @@ -266,9 +328,9 @@ def run_strategy( inspect.Parameter( name=field_name, kind=inspect.Parameter.KEYWORD_ONLY, - default=typer.Option( - field_meta.default, - f"--{field_name}", + default=OptionInfo( + default=field_meta.default, + param_decls=list(set([f"--{field_name}", f"--{field_name.replace('_', '-')}"])), help=f"{field_meta.field_info.description}", rich_help_panel="Strategy Settings", ), diff --git a/robusta_krr/strategies/__init__.py b/robusta_krr/strategies/__init__.py index c1a0c152..79092f4f 100644 --- a/robusta_krr/strategies/__init__.py +++ b/robusta_krr/strategies/__init__.py @@ -1,2 +1,3 @@ from .simple import SimpleStrategy +from .simple_limit import SimpleLimitStrategy from .krr_argyle_strategy import ArgyleStrategy diff --git a/robusta_krr/strategies/krr_argyle_strategy.py b/robusta_krr/strategies/krr_argyle_strategy.py index cb13366f..ec118a7c 100755 --- a/robusta_krr/strategies/krr_argyle_strategy.py +++ b/robusta_krr/strategies/krr_argyle_strategy.py @@ -1,4 +1,5 @@ #!/usr/bin/env python3 +import textwrap import pydantic as pd import numpy as np @@ -103,6 +104,16 @@ class ArgyleStrategy(BaseStrategy[ArgyleStrategySettings]): display_name = "argyle" # The name of the strategy rich_console = True # Whether to use rich console for the CLI + @property + def description(self): + s = textwrap.dedent(f"""\ + CPU request: {self.settings.cpu_percentile}% percentile, limit: unset + Memory request: max + {self.settings.memory_buffer_percentage}%, limit: max + {self.settings.memory_buffer_percentage}% + History: {self.settings.history_duration} hours + Step: {self.settings.timeframe_duration} minutes + + All parameters can be customized. For example: `krr simple --cpu_percentile=90 --memory_buffer_percentage=15 --history_duration=24 --timeframe_duration=0.5` + """) @staticmethod def info_from_list(info_list: list[str]): '''Helper function to join a list of strings into a single string''' diff --git a/robusta_krr/strategies/simple.py b/robusta_krr/strategies/simple.py index da71531d..fa9cd777 100644 --- a/robusta_krr/strategies/simple.py +++ b/robusta_krr/strategies/simple.py @@ -1,3 +1,6 @@ +import textwrap +from datetime import timedelta + import numpy as np import pydantic as pd @@ -17,24 +20,39 @@ MemoryAmountLoader, PercentileCPULoader, PrometheusMetric, + MaxOOMKilledMemoryLoader, ) class SimpleStrategySettings(StrategySettings): - cpu_percentile: float = pd.Field(99, gt=0, le=100, description="The percentile to use for the CPU recommendation.") + cpu_percentile: float = pd.Field(95, gt=0, le=100, description="The percentile to use for the CPU recommendation.") memory_buffer_percentage: float = pd.Field( 15, gt=0, description="The percentage of added buffer to the peak memory usage for memory recommendation." ) points_required: int = pd.Field( 100, ge=1, description="The number of data points required to make a recommendation for a resource." ) + allow_hpa: bool = pd.Field( + False, + description="Whether to calculate recommendations even when there is an HPA scaler defined on that resource.", + ) + use_oomkill_data: bool = pd.Field( + False, + description="Whether to bump the memory when OOMKills are detected (experimental).", + ) + oom_memory_buffer_percentage: float = pd.Field( + 25, ge=0, description="What percentage to increase the memory when there are OOMKill events." + ) - def calculate_memory_proposal(self, data: PodsTimeData) -> float: + def calculate_memory_proposal(self, data: PodsTimeData, max_oomkill: float = 0) -> float: data_ = [np.max(values[:, 1]) for values in data.values()] if len(data_) == 0: return float("NaN") - return np.max(data_) * (1 + self.memory_buffer_percentage / 100) + return max( + np.max(data_) * (1 + self.memory_buffer_percentage / 100), + max_oomkill * (1 + self.oom_memory_buffer_percentage / 100), + ) def calculate_cpu_proposal(self, data: PodsTimeData) -> float: if len(data) == 0: @@ -47,27 +65,51 @@ def calculate_cpu_proposal(self, data: PodsTimeData) -> float: return np.max(data_) + def history_range_enough(self, history_range: tuple[timedelta, timedelta]) -> bool: + start, end = history_range + return (end - start) >= timedelta(hours=3) -class SimpleStrategy(BaseStrategy[SimpleStrategySettings]): - """ - CPU request: {cpu_percentile}% percentile, limit: unset - Memory request: max + {memory_buffer_percentage}%, limit: max + {memory_buffer_percentage}% - History: {history_duration} hours - Step: {timeframe_duration} minutes - - This strategy does not work with objects with HPA defined (Horizontal Pod Autoscaler). - If HPA is defined for CPU or Memory, the strategy will return "?" for that resource. - - Learn more: [underline]https://github.com/robusta-dev/krr#algorithm[/underline] - """ +class SimpleStrategy(BaseStrategy[SimpleStrategySettings]): + display_name = "simple" rich_console = True @property def metrics(self) -> list[type[PrometheusMetric]]: - return [PercentileCPULoader(self.settings.cpu_percentile), MaxMemoryLoader, CPUAmountLoader, MemoryAmountLoader] + metrics = [ + PercentileCPULoader(self.settings.cpu_percentile), + MaxMemoryLoader, + CPUAmountLoader, + MemoryAmountLoader, + ] + if self.settings.use_oomkill_data: + metrics.append(MaxOOMKilledMemoryLoader) + + return metrics + + @property + def description(self): + s = textwrap.dedent(f"""\ + CPU request: {self.settings.cpu_percentile}% percentile, limit: unset + Memory request: max + {self.settings.memory_buffer_percentage}%, limit: max + {self.settings.memory_buffer_percentage}% + History: {self.settings.history_duration} hours + Step: {self.settings.timeframe_duration} minutes + + All parameters can be customized. For example: `krr simple --cpu_percentile=90 --memory_buffer_percentage=15 --history_duration=24 --timeframe_duration=0.5` + """) + + if not self.settings.allow_hpa: + s += "\n" + textwrap.dedent(f"""\ + This strategy does not work with objects with HPA defined (Horizontal Pod Autoscaler). + If HPA is defined for CPU or Memory, the strategy will return "?" for that resource. + You can override this behaviour by passing the --allow-hpa flag + """) + + s += "\nLearn more: [underline]https://github.com/robusta-dev/krr#algorithm[/underline]" + return s + def __calculate_cpu_proposal( self, history_data: MetricsPodData, object_data: K8sObjectData ) -> ResourceRecommendation: @@ -76,19 +118,23 @@ def __calculate_cpu_proposal( if len(data) == 0: return ResourceRecommendation.undefined(info="No data") + # NOTE: metrics for each pod are returned as list[values] where values is [timestamp, value] + # As CPUAmountLoader returns only the last value (1 point), [0, 1] is used to get the value + # So each pod is string with pod name, and values is numpy array of shape (N, 2) data_count = {pod: values[0, 1] for pod, values in history_data["CPUAmountLoader"].items()} - # Here we filter out pods from calculation that have less than `points_required` data points - filtered_data = { - pod: values for pod, values in data.items() if data_count.get(pod, 0) >= self.settings.points_required - } + total_points_count = sum(data_count.values()) - if len(filtered_data) == 0: + if total_points_count < self.settings.points_required: return ResourceRecommendation.undefined(info="Not enough data") - if object_data.hpa is not None and object_data.hpa.target_cpu_utilization_percentage is not None: + if ( + object_data.hpa is not None + and object_data.hpa.target_cpu_utilization_percentage is not None + and not self.settings.allow_hpa + ): return ResourceRecommendation.undefined(info="HPA detected") - cpu_usage = self.settings.calculate_cpu_proposal(filtered_data) + cpu_usage = self.settings.calculate_cpu_proposal(data) return ResourceRecommendation(request=cpu_usage, limit=None) def __calculate_memory_proposal( @@ -96,23 +142,44 @@ def __calculate_memory_proposal( ) -> ResourceRecommendation: data = history_data["MaxMemoryLoader"] + oomkill_detected = False + + if self.settings.use_oomkill_data: + max_oomkill_data = history_data["MaxOOMKilledMemoryLoader"] + # NOTE: metrics for each pod are returned as list[values] where values is [timestamp, value] + # As MaxOOMKilledMemoryLoader returns only the last value (1 point), [0, 1] is used to get the value + # So each value is numpy array of shape (N, 2) + max_oomkill_value = ( + np.max([values[0, 1] for values in max_oomkill_data.values()]) if len(max_oomkill_data) > 0 else 0 + ) + if max_oomkill_value != 0: + oomkill_detected = True + else: + max_oomkill_value = 0 + if len(data) == 0: return ResourceRecommendation.undefined(info="No data") + # NOTE: metrics for each pod are returned as list[values] where values is [timestamp, value] + # As MemoryAmountLoader returns only the last value (1 point), [0, 1] is used to get the value + # So each pod is string with pod name, and values is numpy array of shape (N, 2) data_count = {pod: values[0, 1] for pod, values in history_data["MemoryAmountLoader"].items()} - # Here we filter out pods from calculation that have less than `points_required` data points - filtered_data = { - pod: value for pod, value in data.items() if data_count.get(pod, 0) >= self.settings.points_required - } + total_points_count = sum(data_count.values()) - if len(filtered_data) == 0: + if total_points_count < self.settings.points_required: return ResourceRecommendation.undefined(info="Not enough data") - if object_data.hpa is not None and object_data.hpa.target_memory_utilization_percentage is not None: + if ( + object_data.hpa is not None + and object_data.hpa.target_memory_utilization_percentage is not None + and not self.settings.allow_hpa + ): return ResourceRecommendation.undefined(info="HPA detected") - memory_usage = self.settings.calculate_memory_proposal(filtered_data) - return ResourceRecommendation(request=memory_usage, limit=memory_usage) + memory_usage = self.settings.calculate_memory_proposal(data, max_oomkill_value) + return ResourceRecommendation( + request=memory_usage, limit=memory_usage, info="OOMKill detected" if oomkill_detected else None + ) def run(self, history_data: MetricsPodData, object_data: K8sObjectData) -> RunResult: return { diff --git a/robusta_krr/strategies/simple_limit.py b/robusta_krr/strategies/simple_limit.py new file mode 100644 index 00000000..4d99ab0c --- /dev/null +++ b/robusta_krr/strategies/simple_limit.py @@ -0,0 +1,190 @@ +import textwrap +from datetime import timedelta + +import numpy as np +import pydantic as pd + +from robusta_krr.core.abstract.strategies import ( + BaseStrategy, + K8sObjectData, + MetricsPodData, + PodsTimeData, + ResourceRecommendation, + ResourceType, + RunResult, + StrategySettings, +) +from robusta_krr.core.integrations.prometheus.metrics import ( + CPUAmountLoader, + MaxMemoryLoader, + MemoryAmountLoader, + CPULoader, + PrometheusMetric, + MaxOOMKilledMemoryLoader, +) + + +class SimpleLimitStrategySettings(StrategySettings): + cpu_request: float = pd.Field(66, gt=0, le=100, description="The percentile to use for the CPU request.") + cpu_limit: float = pd.Field(96, gt=0, le=100, description="The percentile to use for the CPU limit.") + memory_buffer_percentage: float = pd.Field( + 15, gt=0, description="The percentage of added buffer to the peak memory usage for memory recommendation." + ) + points_required: int = pd.Field( + 100, ge=1, description="The number of data points required to make a recommendation for a resource." + ) + allow_hpa: bool = pd.Field( + False, + description="Whether to calculate recommendations even when there is an HPA scaler defined on that resource.", + ) + use_oomkill_data: bool = pd.Field( + False, + description="Whether to bump the memory when OOMKills are detected (experimental).", + ) + oom_memory_buffer_percentage: float = pd.Field( + 25, ge=0, description="What percentage to increase the memory when there are OOMKill events." + ) + + def calculate_memory_proposal(self, data: PodsTimeData, max_oomkill: float = 0) -> float: + data_ = [np.max(values[:, 1]) for values in data.values()] + if len(data_) == 0: + return float("NaN") + + return max( + np.max(data_) * (1 + self.memory_buffer_percentage / 100), + max_oomkill * (1 + self.oom_memory_buffer_percentage / 100), + ) + + def calculate_cpu_percentile(self, data: PodsTimeData, percentile: float) -> float: + if len(data) == 0: + return float("NaN") + + if len(data) > 1: + data_ = np.concatenate([values[:, 1] for values in data.values()]) + else: + data_ = list(data.values())[0][:, 1] + + return np.percentile(data_, percentile) + + def history_range_enough(self, history_range: tuple[timedelta, timedelta]) -> bool: + start, end = history_range + return (end - start) >= timedelta(hours=3) + + +class SimpleLimitStrategy(BaseStrategy[SimpleLimitStrategySettings]): + + display_name = "simple_limit" + rich_console = True + + @property + def metrics(self) -> list[type[PrometheusMetric]]: + metrics = [ + CPULoader, + MaxMemoryLoader, + CPUAmountLoader, + MemoryAmountLoader, + ] + + if self.settings.use_oomkill_data: + metrics.append(MaxOOMKilledMemoryLoader) + + return metrics + + @property + def description(self): + s = textwrap.dedent(f"""\ + CPU request: {self.settings.cpu_request}% percentile, limit: {self.settings.cpu_limit}% percentile + Memory request: max + {self.settings.memory_buffer_percentage}%, limit: max + {self.settings.memory_buffer_percentage}% + History: {self.settings.history_duration} hours + Step: {self.settings.timeframe_duration} minutes + + All parameters can be customized. For example: `krr simple_limit --cpu_request=66 --cpu_limit=96 --memory_buffer_percentage=15 --history_duration=24 --timeframe_duration=0.5` + """) + + if not self.settings.allow_hpa: + s += "\n" + textwrap.dedent(f"""\ + This strategy does not work with objects with HPA defined (Horizontal Pod Autoscaler). + If HPA is defined for CPU or Memory, the strategy will return "?" for that resource. + You can override this behaviour by passing the --allow-hpa flag + """) + + s += "\nLearn more: [underline]https://github.com/robusta-dev/krr#algorithm[/underline]" + return s + + def __calculate_cpu_proposal( + self, history_data: MetricsPodData, object_data: K8sObjectData + ) -> ResourceRecommendation: + data = history_data["CPULoader"] + + if len(data) == 0: + return ResourceRecommendation.undefined(info="No data") + + # NOTE: metrics for each pod are returned as list[values] where values is [timestamp, value] + # As CPUAmountLoader returns only the last value (1 point), [0, 1] is used to get the value + # So each pod is string with pod name, and values is numpy array of shape (N, 2) + data_count = {pod: values[0, 1] for pod, values in history_data["CPUAmountLoader"].items()} + total_points_count = sum(data_count.values()) + + if total_points_count < self.settings.points_required: + return ResourceRecommendation.undefined(info="Not enough data") + + if ( + object_data.hpa is not None + and object_data.hpa.target_cpu_utilization_percentage is not None + and not self.settings.allow_hpa + ): + return ResourceRecommendation.undefined(info="HPA detected") + + cpu_request = self.settings.calculate_cpu_percentile(data, self.settings.cpu_request) + cpu_limit = self.settings.calculate_cpu_percentile(data, self.settings.cpu_limit) + return ResourceRecommendation(request=cpu_request, limit=cpu_limit) + + def __calculate_memory_proposal( + self, history_data: MetricsPodData, object_data: K8sObjectData + ) -> ResourceRecommendation: + data = history_data["MaxMemoryLoader"] + + oomkill_detected = False + + if self.settings.use_oomkill_data: + max_oomkill_data = history_data["MaxOOMKilledMemoryLoader"] + # NOTE: metrics for each pod are returned as list[values] where values is [timestamp, value] + # As MaxOOMKilledMemoryLoader returns only the last value (1 point), [0, 1] is used to get the value + # So each value is numpy array of shape (N, 2) + max_oomkill_value = ( + np.max([values[0, 1] for values in max_oomkill_data.values()]) if len(max_oomkill_data) > 0 else 0 + ) + if max_oomkill_value != 0: + oomkill_detected = True + else: + max_oomkill_value = 0 + + if len(data) == 0: + return ResourceRecommendation.undefined(info="No data") + + # NOTE: metrics for each pod are returned as list[values] where values is [timestamp, value] + # As MemoryAmountLoader returns only the last value (1 point), [0, 1] is used to get the value + # So each pod is string with pod name, and values is numpy array of shape (N, 2) + data_count = {pod: values[0, 1] for pod, values in history_data["MemoryAmountLoader"].items()} + total_points_count = sum(data_count.values()) + + if total_points_count < self.settings.points_required: + return ResourceRecommendation.undefined(info="Not enough data") + + if ( + object_data.hpa is not None + and object_data.hpa.target_memory_utilization_percentage is not None + and not self.settings.allow_hpa + ): + return ResourceRecommendation.undefined(info="HPA detected") + + memory_usage = self.settings.calculate_memory_proposal(data, max_oomkill_value) + return ResourceRecommendation( + request=memory_usage, limit=memory_usage, info="OOMKill detected" if oomkill_detected else None + ) + + def run(self, history_data: MetricsPodData, object_data: K8sObjectData) -> RunResult: + return { + ResourceType.CPU: self.__calculate_cpu_proposal(history_data, object_data), + ResourceType.Memory: self.__calculate_memory_proposal(history_data, object_data), + } diff --git a/robusta_krr/utils/intro.py b/robusta_krr/utils/intro.py new file mode 100644 index 00000000..c231773d --- /dev/null +++ b/robusta_krr/utils/intro.py @@ -0,0 +1,42 @@ +import requests +import asyncio +from concurrent.futures import ThreadPoolExecutor + +from .version import get_version + + +ONLINE_LINK = 'https://api.robusta.dev/krr/intro' +LOCAL_LINK = './intro.txt' +TIMEOUT = 0.5 + + +# Synchronous function to fetch intro message +def fetch_intro_message() -> str: + try: + # Attempt to get the message from the URL + response = requests.get(ONLINE_LINK, params={"version": get_version()}, timeout=TIMEOUT) + response.raise_for_status() # Raises an error for bad responses + result = response.json() + return result['message'] + except Exception as e1: + # If there's any error, fallback to local file + try: + with open(LOCAL_LINK, 'r') as file: + return file.read() + except Exception as e2: + return ( + "[red]Failed to load the intro message.\n" + f"Both from the URL: {e1.__class__.__name__} {e1}\n" + f"and the local file: {e2.__class__.__name__} {e2}\n" + "But as that is not critical, KRR will continue to run without the intro message.[/red]" + ) + + +async def load_intro_message() -> str: + loop = asyncio.get_running_loop() + # Use a ThreadPoolExecutor to run the synchronous function in a separate thread + with ThreadPoolExecutor() as pool: + return await loop.run_in_executor(pool, fetch_intro_message) + + +__all__ = ['load_intro_message'] diff --git a/robusta_krr/utils/object_like_dict.py b/robusta_krr/utils/object_like_dict.py new file mode 100644 index 00000000..3ad3e462 --- /dev/null +++ b/robusta_krr/utils/object_like_dict.py @@ -0,0 +1,29 @@ +class ObjectLikeDict: + def __init__(self, dictionary): + for key, value in dictionary.items(): + if isinstance(value, dict): + value = ObjectLikeDict(value) # Convert inner dict + if isinstance(value, list): + value = [ObjectLikeDict(item) if isinstance(item, dict) else item for item in value] + self.__dict__[key] = value + + def __getattr__(self, name): + return self.__dict__.get(name) + + def __setattr__(self, name, value): + self.__dict__[name] = value + + def __str__(self): + return str(self.__dict__) + + def __repr__(self): + return repr(self.__dict__) + + def __len__(self): + return len(self.__dict__) + + def get(self, key, default=None): + return self.__dict__.get(key, default) + + def items(self): + return self.__dict__.items() diff --git a/robusta_krr/utils/patch.py b/robusta_krr/utils/patch.py new file mode 100644 index 00000000..e12114f8 --- /dev/null +++ b/robusta_krr/utils/patch.py @@ -0,0 +1,15 @@ +import logging + +from kubernetes.client.models.v1_pod_failure_policy_rule import V1PodFailurePolicyRule + +def create_monkey_patches(): + """ + The python kubernetes client will throw exceptions for specific fields that were not allowed to be None on older versions of kubernetes. + """ + logger = logging.getLogger("krr") + logger.debug("Creating kubernetes python cli monkey patches") + + def patched_setter_pod_failure_policy(self, on_pod_conditions): + self._on_pod_conditions = on_pod_conditions + + V1PodFailurePolicyRule.on_pod_conditions = V1PodFailurePolicyRule.on_pod_conditions.setter(patched_setter_pod_failure_policy) diff --git a/robusta_krr/utils/print.py b/robusta_krr/utils/print.py deleted file mode 100644 index 1963c3e0..00000000 --- a/robusta_krr/utils/print.py +++ /dev/null @@ -1,21 +0,0 @@ -import sys - -from rich import print as r_print - -from robusta_krr.core.models.config import settings - -py_print = print - - -def print(*objects, rich: bool = True, force: bool = False) -> None: - """ - A wrapper around `rich.print` that prints only if `settings.quiet` is False. - """ - print_func = r_print if rich else py_print - output = sys.stdout if force or not settings.log_to_stderr else sys.stderr - - if not settings.quiet or force: - print_func(*objects, file=output) # type: ignore - - -__all__ = ["print"] diff --git a/robusta_krr/utils/resource_units.py b/robusta_krr/utils/resource_units.py index 9fd290dc..dbda08bb 100644 --- a/robusta_krr/utils/resource_units.py +++ b/robusta_krr/utils/resource_units.py @@ -1,6 +1,6 @@ from typing import Literal, Union -UNITS = { +UNITS: dict[str, float] = { "m": 0.001, "Ki": 1024, "Mi": 1024**2, @@ -23,15 +23,14 @@ def parse(x: str, /) -> Union[float, int]: for unit, multiplier in UNITS.items(): if x.endswith(unit): return float(x[: -len(unit)]) * multiplier - if "." in x: - return float(x) - return int(x) + + return float(x) def get_base(x: str, /) -> Literal[1024, 1000]: """Returns the base of the unit.""" - for unit, multiplier in UNITS.items(): + for unit, _ in UNITS.items(): if x.endswith(unit): return 1024 if unit in ["Ki", "Mi", "Gi", "Ti", "Pi", "Ei"] else 1000 return 1000 if "." in x else 1024 diff --git a/robusta_krr/utils/version.py b/robusta_krr/utils/version.py index 77772dd6..47f81c55 100644 --- a/robusta_krr/utils/version.py +++ b/robusta_krr/utils/version.py @@ -1,5 +1,52 @@ +import asyncio +import os +import subprocess +import sys +from concurrent.futures import ThreadPoolExecutor +from typing import Optional + +import requests + import robusta_krr def get_version() -> str: - return robusta_krr.__version__ + # the version string was patched by a release - return __version__ which will be correct + if robusta_krr.__version__ != "dev": + return robusta_krr.__version__ + + # we are running from an unreleased dev version + try: + # Get the latest git tag + tag = subprocess.check_output(["git", "describe", "--tags"]).decode().strip() + + # Get the current branch name + branch = subprocess.check_output(["git", "rev-parse", "--abbrev-ref", "HEAD"]).decode().strip() + + # Check if there are uncommitted changes + status = subprocess.check_output(["git", "status", "--porcelain"]).decode().strip() + dirty = "-dirty" if status else "" + + return f"{tag}-{branch}{dirty}" + + except Exception: + return robusta_krr.__version__ + + +# Synchronous function to fetch the latest release version from GitHub API +def fetch_latest_version() -> Optional[str]: + url = "https://api.github.com/repos/robusta-dev/krr/releases/latest" + try: + response = requests.get(url, timeout=0.5) # 0.5 seconds timeout + response.raise_for_status() # Raises an error for bad responses + data = response.json() + return data.get("tag_name") # Returns the tag name of the latest release + except Exception: + return None + + +async def load_latest_version() -> Optional[str]: + loop = asyncio.get_running_loop() + # Run the synchronous function in a separate thread + with ThreadPoolExecutor() as pool: + return await loop.run_in_executor(pool, fetch_latest_version) diff --git a/tests/conftest.py b/tests/conftest.py index 8906c423..b1d8d228 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,6 +1,6 @@ import random from datetime import datetime, timedelta -from unittest.mock import AsyncMock, MagicMock, patch +from unittest.mock import AsyncMock, patch import numpy as np import pytest @@ -26,15 +26,6 @@ ) -class AsyncIter: - def __init__(self, items): - self.items = items - - async def __aiter__(self): - for item in self.items: - yield item - - @pytest.fixture(autouse=True, scope="session") def mock_list_clusters(): with patch( @@ -48,7 +39,7 @@ def mock_list_clusters(): def mock_list_scannable_objects(): with patch( "robusta_krr.core.integrations.kubernetes.KubernetesLoader.list_scannable_objects", - new=MagicMock(return_value=AsyncIter([TEST_OBJECT])), + new=AsyncMock(return_value=[TEST_OBJECT]), ): yield @@ -94,6 +85,19 @@ def mock_prometheus_load_pods(): yield +@pytest.fixture(autouse=True, scope="session") +def mock_prometheus_get_history_range(): + async def get_history_range(self, history_duration: timedelta) -> tuple[datetime, datetime]: + now = datetime.now() + start = now - history_duration + return start, now + + with patch( + "robusta_krr.core.integrations.prometheus.loader.PrometheusMetricsLoader.get_history_range", get_history_range + ): + yield + + @pytest.fixture(autouse=True, scope="session") def mock_prometheus_init(): with patch("robusta_krr.core.integrations.prometheus.loader.PrometheusMetricsLoader.__init__", return_value=None): diff --git a/tests/formatters/test_csv_formatter.py b/tests/formatters/test_csv_formatter.py new file mode 100644 index 00000000..150b2aa5 --- /dev/null +++ b/tests/formatters/test_csv_formatter.py @@ -0,0 +1,291 @@ +import csv +import io +import json +from typing import Any + +import pytest + +from robusta_krr.core.models.config import Config +from robusta_krr.core.models.result import Result +from robusta_krr.formatters.csv import csv_exporter + +RESULT = """ +{ + "scans": [ + { + "object": { + "cluster": "mock-cluster", + "name": "mock-object-1", + "container": "mock-container-1", + "pods": [ + { + "name": "mock-pod-1", + "deleted": false + }, + { + "name": "mock-pod-2", + "deleted": false + }, + { + "name": "mock-pod-3", + "deleted": true + } + ], + "hpa": null, + "namespace": "default", + "kind": "Deployment", + "allocations": { + "requests": { + "cpu": "50m", + "memory": "2048Mi" + }, + "limits": { + "cpu": 2.0, + "memory": 2.0 + }, + "info": {} + }, + "warnings": [] + }, + "recommended": { + "requests": { + "cpu": { + "value": 0.0065, + "severity": "UNKNOWN" + }, + "memory": { + "value": 0.5, + "severity": "CRITICAL" + } + }, + "limits": { + "cpu": { + "value": "?", + "severity": "UNKNOWN" + }, + "memory": { + "value": 0.5, + "severity": "CRITICAL" + } + }, + "info": { + "cpu": "Not enough data", + "memory": "Not enough data" + } + }, + "severity": "CRITICAL" + } + ], + "score": 100, + "resources": [ + "cpu", + "memory" + ], + "description": "tests data", + "strategy": { + "name": "simple", + "settings": { + "history_duration": 336.0, + "timeframe_duration": 1.25, + "cpu_percentile": 95.0, + "memory_buffer_percentage": 15.0, + "points_required": 100, + "allow_hpa": false, + "use_oomkill_data": false, + "oom_memory_buffer_percentage": 25.0 + } + }, + "errors": [], + "clusterSummary": {}, + "config": { + "quiet": false, + "verbose": false, + "clusters": [], + "kubeconfig": null, + "impersonate_user": null, + "impersonate_group": null, + "namespaces": "*", + "resources": [], + "selector": null, + "cpu_min_value": 10, + "memory_min_value": 100, + "prometheus_url": null, + "prometheus_auth_header": null, + "prometheus_other_headers": {}, + "prometheus_ssl_enabled": false, + "prometheus_cluster_label": null, + "prometheus_label": null, + "eks_managed_prom": false, + "eks_managed_prom_profile_name": null, + "eks_access_key": null, + "eks_secret_key": null, + "eks_service_name": "aps", + "eks_managed_prom_region": null, + "coralogix_token": null, + "openshift": false, + "max_workers": 10, + "format": "csv", + "show_cluster_name": false, + "strategy": "simple", + "log_to_stderr": false, + "width": null, + "file_output": null, + "slack_output": null, + "other_args": { + "history_duration": "336", + "timeframe_duration": "1.25", + "cpu_percentile": "95", + "memory_buffer_percentage": "15", + "points_required": "100", + "allow_hpa": false, + "use_oomkill_data": false, + "oom_memory_buffer_percentage": "25" + }, + "inside_cluster": false, + "file_output_dynamic": false + } +} +""" + + +def _load_result(override_config: dict[str, Any]) -> Result: + res_data = json.loads(RESULT) + res_data["config"].update(override_config) + result = Result(**res_data) + Config.set_config(result.config) + return result + + +@pytest.mark.parametrize( + "override_config, expected_headers", + [ + ( + {}, + [ + "Namespace", + "Name", + "Pods", + "Old Pods", + "Type", + "Container", + "Severity", + "CPU Diff", + "CPU Requests", + "CPU Limits", + "Memory Diff", + "Memory Requests", + "Memory Limits", + ], + ), + ( + {"show_severity": False}, + [ + "Namespace", + "Name", + "Pods", + "Old Pods", + "Type", + "Container", + "CPU Diff", + "CPU Requests", + "CPU Limits", + "Memory Diff", + "Memory Requests", + "Memory Limits", + ], + ), + ( + {"show_cluster_name": True}, + [ + "Cluster", + "Namespace", + "Name", + "Pods", + "Old Pods", + "Type", + "Container", + "Severity", + "CPU Diff", + "CPU Requests", + "CPU Limits", + "Memory Diff", + "Memory Requests", + "Memory Limits", + ], + ), + ], +) +def test_csv_headers(override_config: dict[str, Any], expected_headers: list[str]) -> None: + result = _load_result(override_config=override_config) + output = csv_exporter(result) + reader = csv.DictReader(io.StringIO(output)) + + assert reader.fieldnames == expected_headers + + +@pytest.mark.parametrize( + "override_config, expected_first_row", + [ + ( + {}, + { + "Namespace": "default", + "Name": "mock-object-1", + "Pods": "2", + "Old Pods": "1", + "Type": "Deployment", + "Container": "mock-container-1", + 'Severity': 'CRITICAL', + "CPU Diff": "-87m", + "CPU Requests": "(-43m) 50m -> 6m", + "CPU Limits": "2.0 -> ?", + "Memory Diff": "-4096Mi", + "Memory Requests": "(-2048Mi) 2048Mi -> 500m", + "Memory Limits": "2.0 -> 500m", + }, + ), + ( + {"show_severity": False}, + { + "Namespace": "default", + "Name": "mock-object-1", + "Pods": "2", + "Old Pods": "1", + "Type": "Deployment", + "Container": "mock-container-1", + "CPU Diff": "-87m", + "CPU Requests": "(-43m) 50m -> 6m", + "CPU Limits": "2.0 -> ?", + "Memory Diff": "-4096Mi", + "Memory Requests": "(-2048Mi) 2048Mi -> 500m", + "Memory Limits": "2.0 -> 500m", + }, + ), + ( + {"show_cluster_name": True}, + { + "Cluster": "mock-cluster", + "Namespace": "default", + "Name": "mock-object-1", + "Pods": "2", + "Old Pods": "1", + "Type": "Deployment", + "Container": "mock-container-1", + 'Severity': 'CRITICAL', + "CPU Diff": "-87m", + "CPU Requests": "(-43m) 50m -> 6m", + "CPU Limits": "2.0 -> ?", + "Memory Diff": "-4096Mi", + "Memory Requests": "(-2048Mi) 2048Mi -> 500m", + "Memory Limits": "2.0 -> 500m", + }, + ), + ], +) +def test_csv_row_value(override_config: dict[str, Any], expected_first_row: list[str]) -> None: + result = _load_result(override_config=override_config) + output = csv_exporter(result) + reader = csv.DictReader(io.StringIO(output)) + + first_row: dict[str, Any] = next(reader) + assert first_row == expected_first_row diff --git a/tests/models/test_resource_allocations.py b/tests/models/test_resource_allocations.py new file mode 100644 index 00000000..49ca949f --- /dev/null +++ b/tests/models/test_resource_allocations.py @@ -0,0 +1,36 @@ +from typing import Union + +import pytest + +from robusta_krr.core.models.allocations import ResourceAllocations, ResourceType + + +@pytest.mark.parametrize( + "cpu", + [ + {"request": "5m", "limit": None}, + {"request": 0.005, "limit": None}, + ], +) +@pytest.mark.parametrize( + "memory", + [ + {"request": 128974848, "limit": 128974848}, + {"request": 128.974848e6, "limit": 128.974848e6}, + {"request": "128.9748480M", "limit": "128.9748480M"}, + {"request": "128974848000m", "limit": "128974848000m"}, + {"request": "123Mi", "limit": "123Mi"}, + {"request": "128974848e0", "limit": "128974848e0"}, + ], +) +def test_resource_allocation_supported_formats( + cpu: dict[str, Union[str, int, float, None]], memory: dict[str, Union[str, int, float, None]] +): + allocations = ResourceAllocations( + requests={ResourceType.CPU: cpu["request"], ResourceType.Memory: memory["request"]}, + limits={ResourceType.CPU: cpu["limit"], ResourceType.Memory: memory["limit"]}, + ) + assert allocations.requests[ResourceType.CPU] == 0.005 + assert allocations.limits[ResourceType.CPU] == None + assert (allocations.requests[ResourceType.Memory] // 1) == 128974848.0 + assert (allocations.limits[ResourceType.Memory] // 1) == 128974848.0 diff --git a/tests/single_namespace_as_group.yaml b/tests/single_namespace_as_group.yaml new file mode 100644 index 00000000..16f08056 --- /dev/null +++ b/tests/single_namespace_as_group.yaml @@ -0,0 +1,38 @@ +# Test environment for per-namespace scans using a group object ID (for e.g. Microsoft Entra) +# The purpose of this setup is to verify that per-namespace features work without cluster level permissions +# You can test this Group and KRR using: +# A user named aksdev that's part of the appdev group. +# krr simple --as aksdev --as-group -n kube-system +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + namespace: kube-system + name: krr-role +rules: +- apiGroups: [""] + resources: ["pods", "services"] + verbs: ["get", "watch", "list"] +- apiGroups: ["batch"] + resources: ["jobs"] + verbs: ["get", "watch", "list"] +- apiGroups: ["apps"] + resources: ["deployments", "replicasets", "daemonsets", "statefulsets"] + verbs: ["get", "list", "watch"] +- apiGroups: ["autoscaling"] + resources: ["horizontalpodautoscalers"] + verbs: ["get", "list", "watch"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + name: krr-role-binding + namespace: kube-system +subjects: +- kind: Group + # Replace with the actual Group Object ID + name: + apiGroup: rbac.authorization.k8s.io +roleRef: + kind: Role + name: krr-role + apiGroup: rbac.authorization.k8s.io diff --git a/tests/single_namespace_permissions.yaml b/tests/single_namespace_permissions.yaml new file mode 100644 index 00000000..f6e324d8 --- /dev/null +++ b/tests/single_namespace_permissions.yaml @@ -0,0 +1,42 @@ +# Test environment for per-namespace scans +# The purpose of this setup is to verify that per-namespace features work without cluster level permissions +# You can test this ServiceAccount and KRR using: +# krr simple --as system:serviceaccount:kube-system:krr-account -n kube-system +apiVersion: v1 +kind: ServiceAccount +metadata: + name: krr-account + namespace: kube-system +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + namespace: kube-system + name: krr-role +rules: +- apiGroups: [""] + resources: ["pods", "services"] + verbs: ["get", "watch", "list"] +- apiGroups: ["batch"] + resources: ["jobs"] + verbs: ["get", "watch", "list"] +- apiGroups: ["apps"] + resources: ["deployments", "replicasets", "daemonsets", "statefulsets"] + verbs: ["get", "list", "watch"] +- apiGroups: ["autoscaling"] + resources: ["horizontalpodautoscalers"] + verbs: ["get", "list", "watch"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + name: krr-role-binding + namespace: kube-system +subjects: +- kind: ServiceAccount + name: krr-account + namespace: kube-system +roleRef: + kind: Role + name: krr-role + apiGroup: rbac.authorization.k8s.io diff --git a/tests/test_krr.py b/tests/test_krr.py index 2a2fb947..90ea2af5 100644 --- a/tests/test_krr.py +++ b/tests/test_krr.py @@ -1,10 +1,11 @@ -import json - import pytest -import yaml +from typing import Literal, Union +from unittest.mock import patch, Mock, MagicMock from typer.testing import CliRunner from robusta_krr.main import app, load_commands +from robusta_krr.core.integrations.kubernetes import ClusterLoader +from robusta_krr.core.models.config import settings runner = CliRunner(mix_stderr=False) load_commands() @@ -29,7 +30,7 @@ def test_run(log_flag: str): raise e from result.exception -@pytest.mark.parametrize("format", ["json", "yaml", "table", "pprint"]) +@pytest.mark.parametrize("format", ["json", "yaml", "table", "pprint", "csv"]) @pytest.mark.parametrize("output", ["--logtostderr", "-q"]) def test_output_formats(format: str, output: str): result = runner.invoke(app, [STRATEGY_NAME, output, "-f", format]) @@ -38,13 +39,41 @@ def test_output_formats(format: str, output: str): except AssertionError as e: raise e from result.exception - try: - if format == "json": - json_output = json.loads(result.stdout) - assert json_output, result.stdout - assert len(json_output["scans"]) > 0, result.stdout - - if format == "yaml": - assert yaml.safe_load(result.stdout), result.stdout - except Exception as e: - raise Exception(result.stdout) from e +@pytest.mark.parametrize( + "setting_namespaces,cluster_all_ns,expected",[ + ( + # default settings + "*", + ["kube-system", "robusta-frontend", "robusta-backend", "infra-grafana"], + "*" + ), + ( + # list of namespace provided from arguments without regex pattern + ["robusta-krr", "kube-system"], + ["kube-system", "robusta-frontend", "robusta-backend", "robusta-krr"], + ["robusta-krr", "kube-system"] + ), + ( + # list of namespace provided from arguments with regex pattern and will not duplicating in final result + ["robusta-.*", "robusta-frontend"], + ["kube-system", "robusta-frontend", "robusta-backend", "robusta-krr"], + ["robusta-frontend", "robusta-backend", "robusta-krr"] + ), + ( + # namespace provided with regex pattern and will match for some namespaces + [".*end$"], + ["kube-system", "robusta-frontend", "robusta-backend", "robusta-krr"], + ["robusta-frontend", "robusta-backend"] + ) + ] + ) +def test_cluster_namespace_list( + setting_namespaces: Union[Literal["*"], list[str]], + cluster_all_ns: list[str], + expected: Union[Literal["*"], list[str]], + ): + cluster = ClusterLoader() + with patch("robusta_krr.core.models.config.settings.namespaces", setting_namespaces): + with patch.object(cluster.core, "list_namespace", return_value=MagicMock( + items=[MagicMock(**{"metadata.name": m}) for m in cluster_all_ns])): + assert sorted(cluster.namespaces) == sorted(expected) diff --git a/tests/test_runner.py b/tests/test_runner.py new file mode 100644 index 00000000..dcf4e19b --- /dev/null +++ b/tests/test_runner.py @@ -0,0 +1,21 @@ +import pytest +from click.testing import Result +from typer.testing import CliRunner + +from robusta_krr.main import app, load_commands + +runner = CliRunner(mix_stderr=False) +load_commands() + + +@pytest.mark.parametrize( + "args, expected_exit_code", + [ + (["--exclude-severity", "-f", "csv"], 0), + (["--exclude-severity", "-f", "table"], 2), + (["--exclude-severity"], 2), + ], +) +def test_exclude_severity_option(args: list[str], expected_exit_code: int) -> None: + result: Result = runner.invoke(app, ["simple", *args]) + assert result.exit_code == expected_exit_code