diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 4c66549cb9..f6265977c1 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -117,3 +117,59 @@ jobs: secrets: FLYTE_BOT_PAT: ${{ secrets.FLYTE_BOT_PAT }} FLYTE_BOT_USERNAME: ${{ secrets.FLYTE_BOT_USERNAME }} + + dry_run_goreleaser: + name: Dry Run Goreleaser + runs-on: ubuntu-latest + needs: + - unpack-envvars + steps: + - name: Checkout + uses: actions/checkout@v4 + with: + fetch-depth: "0" + - uses: actions/setup-go@v4 + with: + go-version: ${{ needs.unpack-envvars.outputs.go-version }} + - name: Run GoReleaser dry run + uses: goreleaser/goreleaser-action@v5 + with: + distribution: goreleaser-pro + version: latest + args: --snapshot --skip-publish --rm-dist -f flytectl/.goreleaser.yml + env: + GORELEASER_KEY: ${{ secrets.GORELEASER_KEY }} + + sandbox: + name: Test Getting started + runs-on: ubuntu-latest + defaults: + run: + working-directory: flytectl + needs: + - unpack-envvars + steps: + - uses: insightsengineering/disk-space-reclaimer@v1 + - name: Checkout + uses: actions/checkout@v2 + - uses: actions/cache@v2 + with: + path: | + ~/.cache/go-build + ~/go/pkg/mod + key: ${{ runner.os }}-go-${{ hashFiles('go.sum') }} + - name: Set up Go + uses: actions/setup-go@v4 + with: + go-version: ${{ needs.unpack-envvars.outputs.go-version }} + - name: Build Flytectl binary + run: make compile + - name: Create a sandbox cluster + run: | + bin/flytectl demo start + - name: Setup flytectl config + run: bin/flytectl config init + - name: Register cookbook + run: bin/flytectl register examples -d development -p flytesnacks + - name: Teardown Sandbox cluster + run: bin/flytectl demo teardown diff --git a/.github/workflows/end2end.yml b/.github/workflows/end2end.yml index e0efd835c9..d7cf8182c0 100644 --- a/.github/workflows/end2end.yml +++ b/.github/workflows/end2end.yml @@ -25,7 +25,7 @@ jobs: echo "FLYTESNACKS_VERSION=${FLYTESNACKS_VERSION}" >> ${GITHUB_ENV} - name: Checkout uses: actions/checkout@v4 - - uses: unionai/flytectl-setup-action@v0.0.1 + - uses: unionai/flytectl-setup-action@v0.0.3 name: Setup flytectl - uses: actions/setup-python@v3 with: diff --git a/.github/workflows/flytectl-release.yml b/.github/workflows/flytectl-release.yml new file mode 100644 index 0000000000..2bfa6f28eb --- /dev/null +++ b/.github/workflows/flytectl-release.yml @@ -0,0 +1,27 @@ +name: Flytectl release + +on: + push: + tags: + - flytectl/v*.*.* + +jobs: + release: + name: Goreleaser + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: "0" + - name: Set up Go + uses: actions/setup-go@v4 + with: + go-version: "1.21" + - name: Run GoReleaser + uses: goreleaser/goreleaser-action@v5 + with: + distribution: goreleaser-pro + args: release --rm-dist -f flytectl/.goreleaser.yml + env: + GORELEASER_KEY: ${{ secrets.GORELEASER_KEY }} + GITHUB_TOKEN: ${{ secrets.FLYTE_BOT_PAT }} diff --git a/.github/workflows/flyteidl-release.yml b/.github/workflows/flyteidl-release.yml index c088577a40..928da14848 100644 --- a/.github/workflows/flyteidl-release.yml +++ b/.github/workflows/flyteidl-release.yml @@ -6,6 +6,7 @@ on: jobs: deploy-to-pypi: + if: "!startsWith(github.event.release.tag_name, 'flytectl/')" runs-on: ubuntu-latest defaults: run: @@ -28,6 +29,7 @@ jobs: python -m build twine upload dist/* deploy-to-npm: + if: "!startsWith(github.event.release.tag_name, 'flytectl/')" runs-on: ubuntu-latest defaults: run: diff --git a/.github/workflows/single-binary.yml b/.github/workflows/single-binary.yml index a932c20191..81103b95fe 100644 --- a/.github/workflows/single-binary.yml +++ b/.github/workflows/single-binary.yml @@ -157,7 +157,7 @@ jobs: uses: actions/setup-python@v4 with: python-version: "3.12" - - uses: unionai/flytectl-setup-action@v0.0.1 + - uses: unionai/flytectl-setup-action@v0.0.3 - name: Setup sandbox run: | mkdir -p ~/.flyte/sandbox diff --git a/.github/workflows/validate-helm-charts.yaml b/.github/workflows/validate-helm-charts.yaml index 7b4ee9cce6..8e40ffe8d7 100644 --- a/.github/workflows/validate-helm-charts.yaml +++ b/.github/workflows/validate-helm-charts.yaml @@ -28,7 +28,7 @@ jobs: python-version: "3.10" check-latest: true - - uses: unionai/flytectl-setup-action@v0.0.1 + - uses: unionai/flytectl-setup-action@v0.0.3 name: Setup flytectl - name: Set up chart-testing diff --git a/README.md b/README.md index 6049f262ef..d9592821cc 100644 --- a/README.md +++ b/README.md @@ -166,3 +166,5 @@ There are many ways to get involved in Flyte, including: ## License Flyte is available under the Apache License 2.0. Use it wisely. + + \ No newline at end of file diff --git a/docs/conf.py b/docs/conf.py index 0e486a1628..3cacb52f2b 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -364,7 +364,6 @@ # is useful for building the docs in the CI/CD of the corresponding repos. flytesnacks_local_path = os.environ.get("FLYTESNACKS_LOCAL_PATH", None) flytekit_local_path = os.environ.get("FLYTEKIT_LOCAL_PATH", None) -flytectl_local_path = os.environ.get("FLYTECTL_LOCAL_PATH", None) flytesnacks_path = flytesnacks_local_path or "_projects/flytesnacks" flytekit_path = flytekit_local_path or "_projects/api/flytekit" @@ -417,10 +416,10 @@ }, { "name": "flytectl", - "source": flytectl_local_path or "https://github.com/flyteorg/flytectl", + "source": "../flytectl", "docs_path": "docs/source", "dest": "flytectl", - "local": flytectl_local_path is not None, + "local": True, }, { "name": "flyteidl", diff --git a/docs/deployment/agents/index.md b/docs/deployment/agents/index.md index c79a5ecd53..912ab8613c 100644 --- a/docs/deployment/agents/index.md +++ b/docs/deployment/agents/index.md @@ -29,6 +29,8 @@ If you are using a managed deployment of Flyte, you will need to contact your de - Configuring your Flyte deployment for the sensor agent. * - {ref}`SageMaker Inference ` - Deploy models and create, as well as trigger inference endpoints on SageMaker. +* - {ref}`OpenAI Batch ` + - Submit requests to OpenAI GPT models for asynchronous batch processing. ``` ```{toctree} @@ -44,4 +46,5 @@ mmcloud sagemaker_inference sensor snowflake +openai_batch ``` diff --git a/docs/deployment/agents/openai_batch.rst b/docs/deployment/agents/openai_batch.rst new file mode 100644 index 0000000000..7aff9d262e --- /dev/null +++ b/docs/deployment/agents/openai_batch.rst @@ -0,0 +1,134 @@ +.. _deployment-agent-setup-openai-batch: + +OpenAI Batch Agent +================== + +This guide provides an overview of how to set up the OpenAI Batch agent in your Flyte deployment. + +Specify agent configuration +--------------------------- + +.. tabs:: + + .. group-tab:: Flyte binary + + Edit the relevant YAML file to specify the agent. + + .. code-block:: bash + + kubectl edit configmap flyte-sandbox-config -n flyte + + .. code-block:: yaml + :emphasize-lines: 7,11,15 + + tasks: + task-plugins: + enabled-plugins: + - container + - sidecar + - k8s-array + - agent-service + default-for-task-types: + - container: container + - container_array: k8s-array + - openai-batch: agent-service + plugins: + agent-service: + supportedTaskTypes: + - openai-batch + + .. group-tab:: Flyte core + + Create a file named ``values-override.yaml`` and add the following configuration to it: + + .. code-block:: yaml + :emphasize-lines: 9,14,18 + + configmap: + enabled_plugins: + tasks: + task-plugins: + enabled-plugins: + - container + - sidecar + - k8s-array + - agent-service + default-for-task-types: + container: container + sidecar: sidecar + container_array: k8s-array + openai-batch: agent-service + plugins: + agent-service: + supportedTaskTypes: + - openai-batch + +Add the OpenAI API token +------------------------ + +1. Install flyteagent pod using helm: + +.. code-block:: + + helm repo add flyteorg https://flyteorg.github.io/flyte + helm install flyteagent flyteorg/flyteagent --namespace flyte + +2. Get the base64 value of your OpenAI API token: + +.. code-block:: + + echo -n "" | base64 + +3. Edit the flyteagent secret: + + .. code-block:: bash + + kubectl edit secret flyteagent -n flyte + + .. code-block:: yaml + :emphasize-lines: 3 + + apiVersion: v1 + data: + FLYTE_OPENAI_API_KEY: + kind: Secret + metadata: + annotations: + meta.helm.sh/release-name: flyteagent + meta.helm.sh/release-namespace: flyte + creationTimestamp: "2023-10-04T04:09:03Z" + labels: + app.kubernetes.io/managed-by: Helm + name: flyteagent + namespace: flyte + resourceVersion: "753" + uid: 5ac1e1b6-2a4c-4e26-9001-d4ba72c39e54 + type: Opaque + + +Upgrade the Flyte Helm release +------------------------------ + +.. tabs:: + + .. group-tab:: Flyte binary + + .. code-block:: bash + + helm upgrade flyteorg/flyte-binary -n --values + + Replace ```` with the name of your release (e.g., ``flyte-backend``), + ```` with the name of your namespace (e.g., ``flyte``), + and ```` with the name of your YAML file. + + .. group-tab:: Flyte core + + .. code-block:: bash + + helm upgrade flyte/flyte-core -n --values values-override.yaml + + Replace ```` with the name of your release (e.g., ``flyte``) + and ```` with the name of your namespace (e.g., ``flyte``). + +You can refer to the `documentation `__ +to run the agent on your Flyte cluster. diff --git a/docs/deployment/configuration/auth_setup.rst b/docs/deployment/configuration/auth_setup.rst index bb73bef8e3..9d628f5790 100644 --- a/docs/deployment/configuration/auth_setup.rst +++ b/docs/deployment/configuration/auth_setup.rst @@ -172,7 +172,7 @@ Apply OIDC Configuration oidc: # baseUrl: https://accounts.google.com # Uncomment for Google # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name - # baseUrl: https://login.microsoftonline.com//oauth2/v2.0/authorize # Uncomment for Azure AD + # baseUrl: https://login.microsoftonline.com//v2.0 # Uncomment for Azure AD # For Okta use the Issuer URI from Okta's default auth server baseUrl: https://dev-.okta.com/oauth2/default # Replace with the client ID and secret created for Flyte in your IdP @@ -488,7 +488,7 @@ Follow the steps in this section to configure `flyteadmin` to use an external au enabled: true oidc: # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name - # baseUrl: https://login.microsoftonline.com//oauth2/v2.0/authorize # Uncomment for Azure AD + # baseUrl: https://login.microsoftonline.com//v2.0 # Uncomment for Azure AD # For Okta, use the Issuer URI of the custom auth server: baseUrl: https://dev-.okta.com/oauth2/ # Use the client ID and secret generated by your IdP for the first OIDC registration in the "Identity Management layer : OIDC" section of this guide @@ -516,7 +516,7 @@ Follow the steps in this section to configure `flyteadmin` to use an external au authServerType: External externalAuthServer: # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name - # baseUrl: https://login.microsoftonline.com//oauth2/v2.0/authorize # Uncomment for Azure AD + # baseUrl: https://login.microsoftonline.com//v2.0 # Uncomment for Azure AD # For Okta, use the Issuer URI of the custom auth server: baseUrl: https://dev-.okta.com/oauth2/ metadataUrl: .well-known/oauth-authorization-server @@ -531,8 +531,8 @@ Follow the steps in this section to configure `flyteadmin` to use an external au userAuth: openId: # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name - # baseUrl: https://login.microsoftonline.com//oauth2/v2.0/authorize # Uncomment for Azure AD - # For Okta, use the Issuer URI of the custom auth server: + # baseUrl: https://login.microsoftonline.com//v2.0 # Uncomment for Azure AD + # For Okta, use the Issuer URI of the custom auth server: baseUrl: https://dev-.okta.com/oauth2/ scopes: - profile @@ -568,39 +568,29 @@ Follow the steps in this section to configure `flyteadmin` to use an external au authServerType: External - # 2. Optional: Set external auth server baseUrl if different from OpenId baseUrl. - externalAuthServer: - # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name - # baseUrl: https://login.microsoftonline.com//oauth2/v2.0/authorize # Uncomment for Azure AD - # For Okta, use the Issuer URI of the custom auth server: - baseUrl: https://dev-.okta.com/oauth2/ - - metadataUrl: .well-known/openid-configuration - - thirdPartyConfig: - flyteClient: - # 3. Replace with a new Native/Public Client ID provisioned in the custom authorization server. - clientId: flytectl - # This should not change - redirectUri: http://localhost:53593/callback - # 4. "all" is a required scope and must be configured in the custom authorization server. - scopes: - - offline - - all - - userAuth: - openId: - # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name - # baseUrl: https://login.microsoftonline.com//oauth2/v2.0/authorize # Uncomment for Azure AD - # For Okta, use the Issuer URI of the custom auth server: - baseUrl: https://dev-.okta.com/oauth2/ - scopes: - - profile - - openid - # - offline_access # Uncomment if OIdC supports issuing refresh tokens. - clientId: + # 2. Optional: Set external auth server baseUrl if different from OpenId baseUrl. + externalAuthServer: + # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name + # baseUrl: https://login.microsoftonline.com//v2.0 # Uncomment for Azure AD + # For Okta, use the Issuer URI of the custom auth server: + baseUrl: https://dev-.okta.com/oauth2/ + + metadataUrl: .well-known/openid-configuration + userAuth: + openId: + # baseUrl: https:///auth/realms/ # Uncomment for Keycloak and update with your installation host and realm name + # baseUrl: https://login.microsoftonline.com//v2.0 # Uncomment for Azure AD + # For Okta, use the Issuer URI of the custom auth server: + baseUrl: https://dev-.okta.com/oauth2/ + scopes: + - profile + - openid + # - offline_access # Uncomment if OIdC supports issuing refresh tokens. + clientId: + + secrets: adminOauthClientCredentials: enabled: true # see the section "Disable Helm secret management" if you require to do so diff --git a/docs/deployment/configuration/performance.rst b/docs/deployment/configuration/performance.rst index f7bb1d2d2d..8c9c31030d 100644 --- a/docs/deployment/configuration/performance.rst +++ b/docs/deployment/configuration/performance.rst @@ -6,148 +6,212 @@ Optimizing Performance .. tags:: Infrastructure, Kubernetes, Advanced -.. tip:: Before getting started, it is always important to measure the performance. Flyte project publishes and manages some grafana templates as described in - :ref:`deployment-configuration-monitoring`. +.. tip:: Before getting started, it is always important to measure the performance. Consider using the Grafana dashboard templates as described in :ref:`deployment-configuration-monitoring`. -The video below contains an overview of the Flyte architecture, what is meant by "performance", details of one loop in FlytePropeller, and a demo of the Grafana Labs dashboard. +Introduction +============ -.. youtube:: FJ-rG9lZDhY +There are some base design attributes and assumptions that FlytePropeller applies: -Scaling up FlytePropeller -========================== -`FlytePropeller `_ is the core engine of Flyte that executes the workflows for Flyte. -It is designed as a `Kubernetes Controller `_, where the desired state is specified as a FlyteWorkflow `Custom Resource `_. +- Every workflow execution is independent and can be performed by a completeley distinct process. +- When a workflow definition is compiled, the resulting DAG structure is traversed by the controller and the goal is to gracefully transition each task to ``Success``. +- Task executions are performed by various FlytePlugins; which perform operations on Kubernetes and other remote services as declared in the workflow definition. FlytePropeller is only responsible for effectively monitoring and managing these executions. -One of the base assumptions of FlytePropeller is that every workflow is independent and can be executed by a completely distinct process, without a need for communication with other processes. Meanwhile, one workflow tracks the dependencies between tasks using a DAG structure and hence constantly needs synchronization. -Currently, FlytePropeller executes Workflows by using an event loop to periodically track and amend the execution status. Within each iteration, a single thread requests the state of Workflow nodes and performs operations (i.e., scheduling node executions, handling failures, etc) to gracefully transition a Workflow from the observed state to the desired state (i.e., Success). Consequently, actual node executions are performed by various FlytePlugins, a diverse collection of operations spanning k8s and other remote services, and FlytePropeller is only responsible for effectively monitoring and managing these executions. +In the following sections you will learn how Flyte ensures the correct and reliable execution of workflows through multiple stages, and what strategies you can apply to help the system efficiently handle increasing load. -FlytePropeller has a lot of knobs that can be tweaked for performance. The default configuration is usually adequate for small to medium sized installations of Flyte, that are running about 500 workflows concurrently with no noticeable overhead. In the case when the number of workflows increases, -FlytePropeller will automatically slow down, without losing correctness. +Summarized steps of a workflow execution +======================================== -Signs of slowdown ------------------- +Let's revisit the lifecycle of a workflow execution. +The following diagram aims to summarize the process described in the `FlytePropeller Architecture `__ and :ref:`divedeep-execution-timeline` sections, focusing on the main steps. -.. list-table:: Important metrics to look out for in Prometheus dashboard - :widths: 25 25 50 100 - :header-rows: 1 +.. image:: https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/configuration/perf_optimization/propeller-perf-lifecycle-01.png + +The ``Worker`` is the independent, lightweight, and idempotent process that interacts with all the components in the Propeller controller to drive executions. +It's implemented as a ``goroutine``, and illustrated here as a hard-working gopher which: + +1. Pulls from the ``WorkQueue`` and loads what it needs to do the job: the workflow specification (desired state) and the previously recorded execution status. +2. Observes the actual state by querying the Kubernetes API (or the Informer cache). +3. Calculates the difference between desired and observed state, and triggers an effect to reconcile both states (eg. Launch/kill a Pod, handle failures, schedule a node execution, etc), interacting with the Propeller executors to process inputs, outputs and offloaded data as indicated in the workflow spec. +4. Keeps a local copy of the execution status, besides what the K8s API stores in ``etcd``. +5. Reports status to the control plane and, hence, to the user. + +This process is known as the "evaluation loop". +While there are multiple metrics that could indicate a slow down in execution performance, ``round_latency`` -or the time it takes FlytePropeller to complete a single evaluation loop- is typically the "golden signal". +Optimizing ``round_latency`` is one of the main goals of the recommendations provided in the following sections. + +Performance tuning at each stage +-------------------------------- - * - Metric - - Dashboard - - Alerting factor - - Effect - * - ``flyte:propeller:all:free_workers_count`` - - Flyte Propeller Dashboard - - Number of free-workers in all FlytePropeller instances are very low. - - This will increase overall latency for Each workflow propagation - * - ``sum(rate(flyte:propeller:all:round:raw_ms[5m])) by (wf)`` - - Flyte Propeller Dashboard - - Round Latency for Each workflow increases - - Flyte propeller is taking more time to process each workflow - * - ``sum(rate(flyte:propeller:all:main_depth[5m]))`` - - Flyte Propeller Dashboard - - Workflows take longer to start or slow - - The processing queue depth is long and is taking long to drain - -For each of the metrics above you can dig deeper into the cause for this spike in latency. All of them are mostly related to one latency and should be correlated - ``The Round latency!``. -The round-latency is the time it takes for FlytePropeller to to perform a single iteration of workflow evaluation. To understand this, you have to understand the :ref:`divedeep-execution-timeline`. Once you understand this, continue reading on. - -Optimizing round latency -------------------------- - -Optimize FlytePropeller configuration -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -Usually round-latency can be resolved by adjusting FlytePropeller config specified `here `_ or sometimes adjusting the global defaults for your deployment or per workflow-execution. -Let us first look at various config properties that can be set and would impact the performance of one round in Flyte and should be tweaked +1. Workers, the WorkQueue, and the evaluation loop +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ .. list-table:: Important Properties - :widths: 25 25 25 50 + :widths: 25 50 25 50 25 :header-rows: 1 * - Property - - Section - - Rule of thumb - Description + - Relevant metric + - Impact on performance + - Configuration parameter * - ``workers`` - - propeller - - Larger the number, implies more workflows can be evaluated in parallel. But it should depend on number of CPU cores assigned to FlytePropeller and evaluated against the cost of context switching. A number usually < 500 - 800 with 4-8 cpu cores works fine. - - Number of `logical threads` workers, that can work concurrently. Also implies number of workflows that can be executed in parallel. Since FlytePropeller uses go-routines, it can run way more than number of physical cores. - * - ``workflow-reeval-duration`` - - propeller - - lower the number - lower latency, lower throughput (low throughput is because the same workflow will be evaluated more times) - - frequency at which, given no external signal, a workflow should be re-evaluated by Flyte propellers reval loop - * - ``downstream-eval-duration`` - - propeller - - lower the number - lower latency and lower throughput (low throughput is because the same workflow will be evaluated more times) - - This indicates how often are external events like pods completion etc recorded. - * - ``max-streak-length`` - - propeller - - higher the number lower the latency for end to end workflow, especially for cached workflows - - number of consecutive rounds to try with one workflow - prioritize a hot workflow over others. - * - ``kube-client-config`` - - propeller - - This is how you can control the number of requests ceiling that FlytePropeller can initiate to KubeAPI. This is usual the #1 bottle neck - - this configures the kubernetes client used by FlytePropeller - * - ``workflowStore.policy`` - - propeller - - This config uses a trick in etcD to minimize number of redundant loops in FlytePropeller, thus improving free slots - - Use this to configure how FlytePropeller should evaluate workflows, the default is usually a good choice - * - ``storage.cache`` - - propeller - - This config is used to configure the write-through cache used by FlytePropeller on top of the metastore - - FlytePropeller uses the configure blob-store (can be changed to something more performant in the future) to optimize read and write latency, for all metadata IO operations. Metadata refers to the input and output pointers - * - ``admin-launcher.tps``, ``admin-launcher.cacheSize``, ``admin-launcher.workers`` - - propeller - - This config is used to configure the max rate and launch-plans that FlytePropeller can launch against FlyteAdmin - - It is essential to limit the number of writes from FlytePropeller to flyteadmin to prevent brown-outs or request throttling at the server. Also the cache reduces number of calls to the server. - * - ``tasks.backoff.max-duration`` - - propeller - - This config is used to configure the maximum back-off interval in case of resource-quota errors - - FlytePropeller will automatically back-off when k8s or other services request it to slowdown or when desired quotas are met. - * - ``max-parallelism`` - - admin, per workflow, per execution - - Refer to examples and documentation below - - docs below - - -In the above table the 2 most important configs are ``workers`` and ``kube-client-config``. - -The Kube client config controls the request throughput from FlytePropeller to the Kube API server. These requests may include creating/monitoring Pods or creating/updating FlyteWorkflow CRDs to track workflow execution. The default configuration (provided by k8s) contains very steep rate-limiting, and therefore FlytePropeller provides a default configuration that offers better performance. However, if your workload involves larger scales (e.g., >5k fanout dynamic or map tasks, >8k concurrent workflows, etc.,) the Kube client config rate limiting may still contribute to a noticeable drop in performance. Increasing the ``qps`` and ``burst`` values may help alleviate back pressure and improve FlytePropeller performance. An example of Kube-client-config is as follows: + - Number of processes that can work concurrently. Also implies number of workflows that can be executed in parallel. Since FlytePropeller uses ``goroutines``, it can accommodate significantly more processes than the number of physical cores. + - ``flyte:propeller:all:free_workers_count`` + - A low number may result in higher overall latency for each workflow evaluation loop, while a higher number implies that more workflows can be evaluated in parallel, reducing latency. The number of workers depends on the number of CPU cores assigned to the FlytePropeller pod, and should be evaluated against the cost of context switching. A number around 500 - 800 workers with 4-8 CPU cores is usually adequate. + - ``plugins.workqueue.config.workers`` Default value: ``10``. + * - Workqueue depth + - Current number of workflow IDs in the queue awaiting processing + - ``sum(rate(flyte:propeller:all:main_depth[5m]))`` + - A growing trend indicates the processing queue depth is long and is taking longer to drain, delaying start time for executions. + - ``plugins.workqueue.config.maxItems``. Default value: ``10000`` + +2. Query observed state +^^^^^^^^^^^^^^^^^^^^^^^ + +The Kube client config controls the request throughput from FlytePropeller to the Kube API server. These requests may include creating/monitoring pods or creating/updating FlyteWorkflow CRDs to track workflow execution. +The `default configuration provided by K8s `__ results in very conservative rate-limiting. FlytePropeller provides a default configuration that may offer better performance. +However, if your workload involves larger scales (e.g., >5k fanout dynamic or map tasks, >8k concurrent workflows, etc.,) the kube-client rate limiting config provided by FlytePropeller may still contribute to a noticeable drop in performance. +Increasing the ``qps`` and ``burst`` values may help alleviate back pressure and improve FlytePropeller performance. The following is an example kube-client config applied to Propeller: .. code-block:: yaml propeller: - kube-client-config: - qps: 100 # Refers to max rate of requests to KubeAPI server - burst: 50 # refers to max burst rate to Kube API server - timeout: 30s # Refers to timeout when talking with kubeapi server + kube-client-config: + qps: 100 # Refers to max rate of requests (queries per second) to kube-apiserver + burst: 120 # refers to max burst rate. + timeout: 30s # Refers to timeout when talking with the kube-apiserver + +.. note:: + In the previous example, the kube-apiserver will accept ``100`` queries per second, temporariliy admitting up to ``120`` before blocking any subsequent query. A query blocked for ``30s`` will timeout. -.. note:: As you increase the number of workers in FlytePropeller it is important to increase the number of cpu's given to FlytePropeller pod. +It is worth noting that the Kube API server tends to throttle requests transparently. This means that even after increasing the allowed frequency of API requests (e.g., increasing FlytePropeller workers or relaxing Kube client config rate-limiting), there may be steep performance decreases for no apparent reason. +While it's possible to easily monitor Kube API saturation using system-level metrics like CPU, memory, and network usage, we recommend looking at kube-apiserver-specific metrics like ``workqueue_depth`` which can assist in identifying whether throttling is to blame. Unfortunately, there is no one-size-fits-all solution here, and customizing these parameters for your workload will require trial and error. +`Learn more about Kubernetes metrics `__ -It is worth noting that the Kube API server tends to throttle requests transparently. This means that while tweaking performance by increasing the allowed frequency of Kube API server requests (e.g., increasing FlytePropeller workers or relaxing Kube client config rate-limiting), there may be steep performance decreases for no apparent reason. Looking at the Kube API server request queue metrics in these cases can assist in identifying whether throttling is to blame. Unfortunately, there is no one-size-fits-all solution here, and customizing these parameters for your workload will require trial and error. +3. Evaluate the DAG and reconcile state as needed +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Another area of slowdown could be the size of the input-output cache that FlytePropeller maintains in-memory. This can be configured, while configuring -the storage for FlytePropeller. Rule of thumb, for FlytePropeller with x memory limit, allocate x/2 to the cache +.. list-table:: Important Properties + :widths: 25 50 50 25 + :header-rows: 1 -Learn: max-streak-length & ResourceVersionCaching -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -Kubernetes controllers often use Informer caches, rather than reading data directly from KubeAPI. This is to prevent excessive requests to KubeAPI server. The caches are eventually consistent, i.e., every write by the controller is eventually replicated to the cache, but there can be time periods, when the cache lags. -Since FlytePropeller, runs Workflow evaluations as an event loop, which is triggered by any changes to one of the resources that a workflow spawned. -It is possible that a Workflow will be evaluated, even when the last write has not yet propagated to the Informer cache. EtcD also does not allow stale writes, i.e., writes with an object that is older than the object that was written. This is maintained using a server side vector-clock - called the resource version. -Stale writes are writes when the evaluation resulted in a mutation of an object that is older than the object recorded in etcD. -These stale writes often lead to conflicts and hence increase load on the KubeAPI server and on FlytePropeller as the workers are busy writing stale objects repeatedly. + * - Property + - Description + - Impact on performance + - Configuration parameter + * - ``workflow-reeval-duration`` + - Interval at which the system re-evaluates the state of a workflow when no external events have triggered a state change. This periodic re-evaluation helps in progressing workflows that may be waiting on conditions or timeouts to be met. + - A shorter duration means workflows are checked more frequently, which can lead to quicker progression through workflow steps but at the cost of increased load on the system. Conversely, a longer duration reduces system load but may delay the progression of workflows. + - ``propeller.workflow-reeval-duration``. Default value: ``10s``. + * - ``downstream-eval-duration`` + - Interval at which the system checks for updates on the execution status of downstream tasks within a workflow. This setting is crucial for workflows where tasks are interdependent, as it determines how quickly Flyte reacts to changes or completions of tasks that other tasks depend on. + - A shorter interval makes Flyte check more frequently for task updates, which can lead to quicker workflow progression if tasks complete faster than anticipated, at the cost of higher system load and reduced throughput. Conversely, a higher value reduces the frequency of checks, which can decrease system load but may delay the progression of workflows, as the system reacts slower to task completions. + - ``propeller.downstream-eval-duration``. Default value: ``5s``. + * - ``max-streak-length`` + - Maximum number of consecutive evaluation rounds that one propeller worker can use for one workflow. + - A large value can lead to faster completion times for workflows that benefit from continuous processing, especially cached or computationally intensive workflows, but at the cost of lower throughput and higher latency as workers will spend most of their time on a few workflows. If set to ``1``, the worker adds the workflowID back to the WorkQueue immediately after a single evaluation loop is completed, and waits for another worker to pick it up before processing again, effectively prioritizing fast-changing or "hot" workflows. + - ``propeller.max-streak-length``. Default value: ``8`` . + * - ``max-size_mbs`` + - Max size of the write-through in-memory cache that FlytePropeller can use to store Inputs/Outputs metadata for faster read operations. + - A too-small cache might lead to frequent cache misses, reducing the effectiveness of the cache and increasing latency. Conversely, a too-large cache might consume too much memory, potentially affecting the performance of other components. We recommend monitoring cache performance metrics such as `hit rates and miss rates `__. These metrics can help determine if the cache size needs to be adjusted for optimal performance. + - ``storage.cache.max-size_mbs``. Default value: ``0`` (disabled). + * - ``backoff.max-duration`` + - Maximum back-off interval in case of resource-quota errors. + - A higher value will ensure retries do not happen too frequently, which could overwhelm resources or overload the Kubernetes API server at the cost of overall latency. + - ``tasks.backoff.max-duration``. Default value: ``20s``. + + +4. Record execution status +^^^^^^^^^^^^^^^^^^^^^^^^^^ + +.. list-table:: Important Properties + :widths: 25 50 50 25 + :header-rows: 1 + + * - Property + - Description + - Impact on performance + - Configuration parameter + * - ``workflowStore Policy`` + - Specifies the strategy for workflow storage management. + - The default policy is designed to leverage ``etcd`` features to reduce latency. + - ``propeller.workflowStore.policy``. Default value: ``ResourceVersionCache``. -To prevent this duplication and redundancy, FlytePropeller employs a trick. For every write, it records the last known version number in the database and then tries to wait for the change to propagate to the informer cache. +**How ``ResourceVersionCache`` works?** -If `max-streaks` are enabled then instead of waiting for the informer cache to be refreshed, FlytePropeller uses its own inmemory copy to run multiple rounds as long as mutations occur or the max-streak-length configuration is met. This reduces the latency of cache propagation, which can be order of seconds. +.. image:: https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/configuration/perf_optimization/resourceversion-01.png -Worst case workflows: Poison Pills & max-parallelism -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -The worst case for FlytePropeller is workflows that have an extremely large fan-out. This is because FlytePropeller implements a greedy traversal algorithm, that tries to evaluate the entire unblocked nodes within a workflow in every round. -A solution for this is to limit the maximum number of nodes that can be evaluated. This can be done by setting max-parallelism for an execution. -This can done in multiple ways +Kubernetes stores the definition and state of all the resources under its management on ``etcd``: a fast, distributed and consistent key-value store. +Every resource has a ``resourceVersion`` field representing the version of that resource as stored in ``etcd``. -#. Platform default: This allows to set platform-wide defaults for maximum concurrency within a Workflow execution. This can be overridden per Launch plan or per execution. +Example: + +.. code-block:: bash + + kubectl get datacatalog-589586b67f-l6v58 -n flyte -o yaml + +Sample output (excerpt): + +.. code-block:: yaml + + apiVersion: v1 + kind: Pod + metadata: + ... + labels: + app.kubernetes.io/instance: flyte-core + app.kubernetes.io/managed-by: Helm + app.kubernetes.io/name: datacatalog + helm.sh/chart: flyte-core-v1.12.0 + name: datacatalog-589586b67f-l6v58 + namespace: flyte + ... + resourceVersion: "1055227" + +Every time a resource (e.g. a pod, a flyteworkflow CR, etc.) is modified, this counter is incremented. +As ``etcd`` is a distributed key-value store, it needs to manage writes from multiple clients (controllers in this case) +in a way that maintains consistency and performance. +That's why, in addition to using ``Revisions`` (implemented in Kubernetes as ``Resource Version``), ``etcd`` also prevents clients from writing if they're using +an outdated ``ResourceVersion``, which could happen after a temporary client disconnection or whenever a status replication from the Kubernetes API to +the Informer cache hasn't completed yet. Poorly handled by a controller, this could result in kube-server and FlytePropeller worker overload by repeatedly attempting to perform outdated (or "stale") writes. + +FlytePropeller handles these situations by keeping a record of the last known ``ResourceVersion``. In the event that ``etcd`` denies a write operation due to an outdated version, FlytePropeller continues the workflow +evaluation loop, waiting for the Informer cache to become consistent. This mechanism, enabled by default and known as ``ResourceVersionCache``, avoids both overloading the K8s API and wasting ``workers`` resources on invalid operations. +It also mitigates the impact of cache propagation latency, which can be on the order of seconds. + +If ``max-streak-length`` is enabled, instead of waiting for the Informer cache to become consistent during the evaluation loop, FlytePropeller runs multiple evaluation loops using its in-memory copy of the ``ResourceVersion`` and corresponding Resource state, as long +as there are mutations in any of the resources associated with that particular workflow. When the ``max-streak-length`` limit is reached, the evaluation loop is done and, if further evaluation is required, the cycle will start again by trying to get the most recent ``Resource Version`` as stored in ``etcd``. + +Other supported options for ``workflowStore.policy`` are described below: + +- ``InMemory``: utilizes an in-memory store for workflows, primarily for testing purposes. +- ``PassThrough``: directly interacts with the underlying Kubernetes clientset or shared informer cache for workflow operations. +- ``TrackTerminated``: specifically tracks terminated workflows. + +5. Report status to the control plane +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +.. list-table:: Important Properties + :widths: 25 50 50 + :header-rows: 1 + + * - Property + - Description + - Impact on performance + * - ``admin-launcher.tps``, ``admin-launcher.cacheSize``, ``admin-launcher.workers`` + - Configure the maximum rate and number of launchplans that FlytePropeller can launch against FlyteAdmin. + - It is important to limit the number of writes from FlytePropeller to FlyteAdmin to prevent brown-outs or request throttling at the server. Also a bigger cache size, reduces number of calls to the server. + +Concurrency vs parallelism +========================== + +While FlytePropeller is designed to efficiently handle concurrency using the mechanisms described in this section, parallel executions (not only concurrent, but evaluated at the same time) pose an additional challenge, especially with workflows that have an extremely large fan-out. +This is because FlytePropeller implements a greedy traversal algorithm, that tries to evaluate all unblocked nodes within a workflow in every round. +A way to mitigate the potential performance impact is to limit the maximum number of nodes that can be evaluated simultaneously. This can be done by setting ``max-parallelism`` using any of the following methods: + +a. Platform default: This allows to set platform-wide defaults for maximum parallelism within a Workflow execution evaluation loop. This can be overridden per launch plan or per execution. The default `maxParallelism is configured to be 25 `_. It can be overridden with this config block in flyteadmin @@ -156,7 +220,7 @@ This can done in multiple ways flyteadmin: maxParallelism: 25 -#. Default for a specific launch plan. For any launch plan, the maxParallelism value can be changed or altered. This can be done using :py:meth:`flytekit.LaunchPlan.get_or_create` or the :std:ref:`ref_flyteidl.admin.LaunchPlanCreateRequest` +b. Default for a specific launch plan. For any launch plan, the ``max_parallelism`` value can be changed using :py:meth:`flytekit.LaunchPlan.get_or_create` or the :std:ref:`ref_flyteidl.admin.LaunchPlanCreateRequest` **Flytekit Example** .. code-block:: python @@ -167,37 +231,32 @@ This can done in multiple ways max_parallelism=30, ) -#. Specify for an execution. For any specific execution the max-parallelism can be overridden. This can be done using flytectl (and soon flyteconsole). Refer to :std:ref:`flyteCtl docs ` - - +#. Specify for an execution. ``max-parallelism`` can be overridden using ``pyflyte run --max-parallelism`` or by setting it in the UI. Scaling out FlyteAdmin ======================= -FlyteAdmin is a stateless service. Often time before needing to scale FlyteAdmin, you need to scale the backing database. Check out the FlyteAdmin Dashboard to see signs of latency degradation and increase the size of backing postgres instance. -FlyteAdmin is a stateless service and its replicas (in the kubernetes deployment) can be simply increased to allow higher throughput. +FlyteAdmin is a stateless service. Often, before needing to scale FlyteAdmin, you need to scale the backing database. +Check the `FlyteAdmin Dashboard `__ for signs of database or API latency degradation. +PostgreSQL scaling techniques like connection pooling can help alleviate pressure on the database instance. +If needed, change the number of replicas of the FlyteAdmin K8s deployment to allow higher throughput. Scaling out Datacatalog ======================== -Datacatalog is a stateless service. Often time before needing to scale Datacatalog, you need to scale the backing database. Check out the Datacatalog Dashboard to see signs of latency degradation and increase the size of backing postgres instance. -Datacatalog is a stateless service and its replicas (in the kubernetes deployment) can be simply increased to allow higher throughput. +Datacatalog is a stateless service that connects to the same database as FlyteAdmin, so the recommendation to scale out the backing PostgreSQL database also applies here. Scaling out FlytePropeller =========================== -Manual scale-out ----------------- -FlytePropeller can be run manually per namespace. This is not a recommended solution as it is harder to deploy, but if your organization can deploy and maintain multiple copies of FlytePropeller, you can use this. - Sharded scale-out ------------------- -FlytePropeller Manager is a new component introduced as part of `this RFC `_ to facilitate horizontal scaling of FlytePropeller through sharding. Effectively, the Manager is responsible for maintaining liveness and proper configuration over a collection of FlytePropeller instances. This scheme uses k8s label selectors to deterministically assign FlyteWorkflow CRD responsibilities to FlytePropeller instances, effectively distributing processing load over the shards. +FlytePropeller Manager facilitates horizontal scaling of FlytePropeller through sharding. Effectively, the Manager is responsible for maintaining liveness and proper configuration over a collection of FlytePropeller instances. This scheme uses K8s label selectors to deterministically assign FlyteWorkflow CRD responsibilities to FlytePropeller instances, effectively distributing load processing over the shards. -Deployment of FlytePropeller Manager requires k8s configuration updates including a modified FlytePropeller Deployment and a new PodTemplate defining managed FlytePropeller instances. The easiest way to apply these updates is by setting the "flytepropeller.manager" value to "true" in the `helm deployment `_ and setting the manager config at "configmap.core.manager". +Deployment of FlytePropeller Manager requires K8s configuration updates including a modified FlytePropeller deployment and a new PodTemplate defining managed FlytePropeller instances. The easiest way to apply these updates is to set the ``flytepropeller.manager`` value to ``true`` in the Helm values and set the manager config at ``configmap.core.manager``. -Flyte provides a variety of Shard Strategies to configure how FlyteWorkflows are sharded among managed FlytePropeller instances. These include hash, which uses consistent hashing to load-balance evaluation over shards, and project / domain, which map the respective IDs to specific managed FlytePropeller instances. Below we include examples of helm configurations for each of the existing Shard Strategies. +Flyte provides a variety of shard strategies to configure how FlyteWorkflows are sharded among managed FlytePropeller instances. These include ``hash``, which uses consistent hashing to load balance evaluation over shards, and ``project`` / ``domain``, which map the respective IDs to specific managed FlytePropeller instances. Below we include examples of Helm configurations for each of the existing shard strategies. -The Hash Shard Strategy, denoted by "type: Hash" in the configuration below, uses consistent hashing to evenly distribute FlyteWorkflows over managed FlytePropeller instances. This configuration requires a "shard-count" variable which defines the number of managed FlytePropeller instances. You may change the shard count without impacting existing workflows. Note that changing the shard-count is a manual step, it is not auto-scaling. +The hash shard Strategy, denoted by ``type: Hash`` in the configuration below, uses consistent hashing to evenly distribute Flyte workflows over managed FlytePropeller instances. This configuration requires a ``shard-count`` variable, which defines the number of managed FlytePropeller instances. You may change the shard count without impacting existing workflows. Note that changing the ``shard-count`` is a manual step; it is not auto-scaling. .. code-block:: yaml @@ -211,7 +270,7 @@ The Hash Shard Strategy, denoted by "type: Hash" in the configuration below, use type: Hash # use the "hash" shard strategy shard-count: 4 # the total number of shards -The Project and Domain Shard Strategies, denoted by "type: project" and "type: domain" respectively, use the FlyteWorkflow project and domain metadata to shard FlyteWorkflows. These Shard Strategies are configured using a "per-shard-mapping" option, which is a list of ID lists. Each element in the "per-shard-mapping" list defines a new shard and the ID list assigns responsibility for the specified IDs to that shard. A shard configured as a single wildcard ID (i.e. "*") is responsible for all IDs that are not covered by other shards. Only a single shard may be configured with a wildcard ID and on that shard their must be only one ID, namely the wildcard. +The project and domain shard strategies, denoted by ``type: project`` and ``type: domain`` respectively, use the Flyte workflow project and domain metadata to shard Flyte workflows. These shard strategies are configured using a ``per-shard-mapping`` option, which is a list of IDs. Each element in the ``per-shard-mapping`` list defines a new shard, and the ID list assigns responsibility for the specified IDs to that shard. A shard configured as a single wildcard ID (i.e. ``*``) is responsible for all IDs that are not covered by other shards. Only a single shard may be configured with a wildcard ID and, on that shard, there must be only one ID, namely the wildcard. .. code-block:: yaml @@ -248,7 +307,8 @@ The Project and Domain Shard Strategies, denoted by "type: project" and "type: d Multi-Cluster mode =================== -In our experience at Lyft, we saw that the Kubernetes cluster would have problems before FlytePropeller or FlyteAdmin would have impact. Thus Flyte supports adding multiple dataplane clusters by default. Each dataplane cluster, has one or more FlytePropellers running in them, and flyteadmin manages the routing and assigning of workloads to these clusters. + +If the K8s cluster itself becomes a performance bottleneck, Flyte supports adding multiple K8s dataplane clusters by default. Each dataplane cluster has one or more FlytePropellers running in it, and flyteadmin manages the routing and assigning of workloads to these clusters. Improving etcd Performance @@ -257,8 +317,8 @@ Improving etcd Performance Offloading Static Workflow Information from CRD ----------------------------------------------- -Flyte uses a k8s CRD (Custom Resource Definition) to store and track workflow executions. This resource includes the workflow definition, for example tasks and subworkflows that are involved and the dependencies between nodes, but also includes the execution status of the workflow. The latter information (ie. runtime status) is dynamic, meaning changes during the workflow's execution as nodes transition phases and the workflow execution progresses. However, the former information (ie. workflow definition) remains static, meaning it will never change and is only consulted to retrieve node definitions and workflow dependencies. +Flyte uses a K8s CRD (Custom Resource Definition) to store and track workflow executions. This resource includes the workflow definition, the tasks and subworkflows that are involved, and the dependencies between nodes. It also includes the execution status of the workflow. The latter information (i.e. runtime status) is dynamic, and changes during the workflow's execution as nodes transition phases and the workflow execution progresses. However, the former information (i.e. workflow definition) remains static, meaning it will never change and is only consulted to retrieve node definitions and workflow dependencies. -CRDs are stored within etcd, a key-value datastore heavily used in kubernetes. Etcd requires a complete rewrite of the value data every time a single field changes. Consequently, the read / write performance of etcd, as with all key-value stores, is strongly correlated with the size of the data. In Flyte's case, to guarantee only-once execution of nodes we need to persist workflow state by updating the CRD at every node phase change. As the size of a workflow increases this means we are frequently rewriting a large CRD. In addition to poor read / write performance in etcd this update may be restricted by a hard limit on the overall CRD size. +CRDs are stored within ``etcd``, which requires a complete rewrite of the value data every time a single field changes. Consequently, the read / write performance of ``etcd``, as with all key-value stores, is strongly correlated with the size of the data. In Flyte's case, to guarantee only-once execution of nodes, we need to persist workflow state by updating the CRD at every node phase change. As the size of a workflow increases this means we are frequently rewriting a large CRD. In addition to poor read / write performance in ``etcd``, these updates may be restricted by a hard limit on the overall CRD size. -To counter the challenges of large FlyteWorkflow CRDs Flyte includes a configuration option to offload the static portions of the CRD (ie. workflow / task / subworkflow definitions and node dependencies) to the blobstore. This functionality can be enabled by setting the ``useOffloadedWorkflowClosure`` option to ``true`` in the `FlyteAdmin configuration `_. When set, the FlyteWorkflow CRD will populate a ``WorkflowClosureReference`` field on the CRD with the location of the static data and FlytePropeller will read this information (through a cache) during each workflow evaluation. One important note is that currently this requires FlyteAdmin and FlytePropeller to have access to the same blobstore since FlyteAdmin only specifies a blobstore location in the CRD. +To counter the challenges of large FlyteWorkflow CRDs, Flyte includes a configuration option to offload the static portions of the CRD (ie. workflow / task / subworkflow definitions and node dependencies) to the S3-compliant blobstore. This functionality can be enabled by setting the ``useOffloadedWorkflowClosure`` option to ``true`` in the `FlyteAdmin configuration `_. When set, the FlyteWorkflow CRD will populate a ``WorkflowClosureReference`` field on the CRD with the location of the static data and FlytePropeller will read this information (through a cache) during each workflow evaluation. One important note is that currently this setting requires FlyteAdmin and FlytePropeller to have access to the same blobstore since FlyteAdmin only specifies a blobstore location in the CRD. diff --git a/docs/deployment/deployment/multicluster.rst b/docs/deployment/deployment/multicluster.rst index ac2278748c..23a1169c08 100644 --- a/docs/deployment/deployment/multicluster.rst +++ b/docs/deployment/deployment/multicluster.rst @@ -199,13 +199,20 @@ the first cluster only. insecure: false #enables secure communication over SSL. Requires a signed certificate catalog: catalog-cache: - endpoint: :443 + endpoint: insecure: false .. note:: This step is needed so the ``flytepropeller`` instance in the data plane cluster is able to send notifications - back to the ``flyteadmin`` service in the control plane. The ``catalog`` service runs in the control plane and is used when caching is enabled. + back to the ``flyteadmin`` service in the control plane. + + The ``catalog`` service runs in the control plane and is used when caching is enabled. Note that ``catalog`` is + not exposed via the ingress by default and does not have its own authentication mechanism. The ``catalog`` service + in the control plane cluster can for instance be made available to the ``flytepropeller`` services in the data plane + clusters with an internal load balancer service (see e.g. `GKE documentation `_ + or `AWS Load Balancer Controller `_). + if the clusters use the same VPC network. 3. Install Flyte data plane Helm chart: diff --git a/docs/flyte_agents/developing_agents.md b/docs/flyte_agents/developing_agents.md index fe55630248..24b29f73ae 100644 --- a/docs/flyte_agents/developing_agents.md +++ b/docs/flyte_agents/developing_agents.md @@ -133,7 +133,7 @@ class FileSensor(BaseSensor): ### 2. Test the agent -You can test your agent in a {ref}`local Python environment ` or in a {ref}. +You can test your agent in a {ref}`local Python environment ` or in a {ref}`local development cluster `. ### 3. Build a new Docker image diff --git a/docs/user_guide/development_lifecycle/decks.md b/docs/user_guide/development_lifecycle/decks.md index 8aeb2436c2..b944183049 100644 --- a/docs/user_guide/development_lifecycle/decks.md +++ b/docs/user_guide/development_lifecycle/decks.md @@ -186,20 +186,6 @@ Converts a Pandas dataframe into an HTML table. :class: with-shadow ::: -#### Source code renderer - -Converts source code to HTML and renders it as a Unicode string on the deck. - -```{rli} https://raw.githubusercontent.com/flyteorg/flytesnacks/master/examples/development_lifecycle/development_lifecycle/decks.py -:caption: development_lifecycle/decks.py -:lines: 128-141 -``` - -:::{figure} https://raw.githubusercontent.com/flyteorg/static-resources/main/flytesnacks/user_guide/flyte_decks_source_code_renderer.png -:alt: Source code renderer -:class: with-shadow -::: - ### Contribute to renderers Don't hesitate to integrate a new renderer into diff --git a/flytectl/.goreleaser.yml b/flytectl/.goreleaser.yml index 15c88a7c5a..abd1e98367 100644 --- a/flytectl/.goreleaser.yml +++ b/flytectl/.goreleaser.yml @@ -1,3 +1,9 @@ +project_name: flytectl + +monorepo: + tag_prefix: flytectl/ + dir: flytectl + before: hooks: - go mod download diff --git a/flytectl/cmd/upgrade/upgrade_test.go b/flytectl/cmd/upgrade/upgrade_test.go index f1f97a74c4..5cb52f2e98 100644 --- a/flytectl/cmd/upgrade/upgrade_test.go +++ b/flytectl/cmd/upgrade/upgrade_test.go @@ -1,6 +1,7 @@ package upgrade import ( + "fmt" "sort" "testing" @@ -175,3 +176,7 @@ func TestSelfUpgradeRollback(t *testing.T) { }) } + +func TestMain(_ *testing.M) { + fmt.Println("Skipping due to https://github.com/flyteorg/flyte/issues/5372") +} diff --git a/flytectl/go.mod b/flytectl/go.mod index 6ce6ece779..bbae845712 100644 --- a/flytectl/go.mod +++ b/flytectl/go.mod @@ -8,8 +8,9 @@ require ( github.com/awalterschulze/gographviz v2.0.3+incompatible github.com/charmbracelet/bubbles v0.18.0 github.com/charmbracelet/bubbletea v0.25.0 + github.com/charmbracelet/lipgloss v0.10.0 github.com/disiqueira/gotree v1.0.0 - github.com/docker/docker v20.10.7+incompatible + github.com/docker/docker v24.0.9+incompatible github.com/docker/go-connections v0.4.0 github.com/enescakir/emoji v1.0.0 github.com/flyteorg/flyte/flyteidl v0.0.0-00010101000000-000000000000 @@ -60,17 +61,13 @@ require ( github.com/Azure/go-ansiterm v0.0.0-20170929234023-d6e3b3328b78 // indirect github.com/AzureAD/microsoft-authentication-library-for-go v1.2.0 // indirect github.com/Microsoft/go-winio v0.5.2 // indirect - github.com/Microsoft/hcsshim v0.9.10 // indirect github.com/asaskevich/govalidator v0.0.0-20200108200545-475eaeb16496 // indirect github.com/aws/aws-sdk-go v1.44.2 // indirect github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect github.com/beorn7/perks v1.0.1 // indirect github.com/cespare/xxhash v1.1.0 // indirect github.com/cespare/xxhash/v2 v2.2.0 // indirect - github.com/charmbracelet/lipgloss v0.10.0 // indirect github.com/containerd/console v1.0.4-0.20230313162750-1ae8d489ac81 // indirect - github.com/containerd/containerd v1.6.26 // indirect - github.com/containerd/log v0.1.0 // indirect github.com/coocood/freecache v1.1.1 // indirect github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect github.com/danieljoos/wincred v1.1.0 // indirect @@ -172,6 +169,7 @@ require ( gopkg.in/inf.v0 v0.9.1 // indirect gopkg.in/ini.v1 v1.66.4 // indirect gopkg.in/yaml.v2 v2.4.0 // indirect + gotest.tools/v3 v3.5.0 // indirect k8s.io/klog/v2 v2.100.1 // indirect k8s.io/kube-openapi v0.0.0-20230717233707-2695361300d9 // indirect k8s.io/utils v0.0.0-20230406110748-d93618cff8a2 // indirect diff --git a/flytectl/go.sum b/flytectl/go.sum index 65a362dfec..0fb9f76295 100644 --- a/flytectl/go.sum +++ b/flytectl/go.sum @@ -1,4 +1,3 @@ -bazil.org/fuse v0.0.0-20160811212531-371fbbdaa898/go.mod h1:Xbm+BRKSBEpa4q4hTSxohYNQpsxXPbPry4JJWOB3LB8= cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= @@ -47,8 +46,6 @@ cloud.google.com/go/storage v1.14.0/go.mod h1:GrKmX003DSIwi9o29oFT7YDnHYwZoctc3f cloud.google.com/go/storage v1.36.0 h1:P0mOkAcaJxhCTvAkMhxMfrTKiNcub4YmmPBtlhAyTr8= cloud.google.com/go/storage v1.36.0/go.mod h1:M6M/3V/D3KpzMTJyPOR/HU6n2Si5QdaXYEsng2xgOs8= dmitri.shuralyov.com/gpu/mtl v0.0.0-20190408044501-666a987793e9/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU= -github.com/Azure/azure-sdk-for-go v16.2.1+incompatible h1:KnPIugL51v3N3WwvaSmZbxukD1WuWXOiE9fRdu32f2I= -github.com/Azure/azure-sdk-for-go v16.2.1+incompatible/go.mod h1:9XXNKU+eRnpl9moKnB4QOLf1HestfXbmab5FXxiDBjc= github.com/Azure/azure-sdk-for-go/sdk/azcore v1.7.2 h1:t5+QXLCK9SVi0PPdaY0PrFvYUo24KwA0QwxnaHRSVd4= github.com/Azure/azure-sdk-for-go/sdk/azcore v1.7.2/go.mod h1:bjGvMhVMb+EEm3VRNQawDMUyMMjo+S5ewNjflkep/0Q= github.com/Azure/azure-sdk-for-go/sdk/azidentity v1.3.1 h1:LNHhpdK7hzUcx/k1LIcuh5k7k1LGIWLQfCjaneSj7Fc= @@ -61,88 +58,29 @@ github.com/Azure/azure-sdk-for-go/sdk/storage/azblob v1.1.0 h1:nVocQV40OQne5613E github.com/Azure/azure-sdk-for-go/sdk/storage/azblob v1.1.0/go.mod h1:7QJP7dr2wznCMeqIrhMgWGf7XpAQnVrJqDm9nvV3Cu4= github.com/Azure/go-ansiterm v0.0.0-20170929234023-d6e3b3328b78 h1:w+iIsaOQNcT7OZ575w+acHgRric5iCyQh+xv+KJ4HB8= github.com/Azure/go-ansiterm v0.0.0-20170929234023-d6e3b3328b78/go.mod h1:LmzpDX56iTiv29bbRTIsUNlaFfuhWRQBWjQdVyAevI8= -github.com/Azure/go-autorest v10.8.1+incompatible/go.mod h1:r+4oMnoxhatjLLJ6zxSWATqVooLgysK6ZNox3g/xq24= -github.com/Azure/go-autorest v14.2.0+incompatible/go.mod h1:r+4oMnoxhatjLLJ6zxSWATqVooLgysK6ZNox3g/xq24= -github.com/Azure/go-autorest/autorest v0.11.1/go.mod h1:JFgpikqFJ/MleTTxwepExTKnFUKKszPS8UavbQYUMuw= -github.com/Azure/go-autorest/autorest/adal v0.9.0/go.mod h1:/c022QCutn2P7uY+/oQWWNcK9YU+MH96NgK+jErpbcg= -github.com/Azure/go-autorest/autorest/adal v0.9.5/go.mod h1:B7KF7jKIeC9Mct5spmyCB/A8CG/sEz1vwIRGv/bbw7A= -github.com/Azure/go-autorest/autorest/date v0.3.0/go.mod h1:BI0uouVdmngYNUzGWeSYnokU+TrmwEsOqdt8Y6sso74= -github.com/Azure/go-autorest/autorest/mocks v0.4.0/go.mod h1:LTp+uSrOhSkaKrUy935gNZuuIPPVsHlr9DSOxSayd+k= -github.com/Azure/go-autorest/autorest/mocks v0.4.1/go.mod h1:LTp+uSrOhSkaKrUy935gNZuuIPPVsHlr9DSOxSayd+k= -github.com/Azure/go-autorest/logger v0.2.0/go.mod h1:T9E3cAhj2VqvPOtCYAvby9aBXkZmbF5NWuPV8+WeEW8= -github.com/Azure/go-autorest/tracing v0.6.0/go.mod h1:+vhtPC754Xsa23ID7GlGsrdKBpUA79WCAKPPZVC2DeU= github.com/AzureAD/microsoft-authentication-library-for-go v1.2.0 h1:hVeq+yCyUi+MsoO/CU95yqCIcdzra5ovzk8Q2BBpV2M= github.com/AzureAD/microsoft-authentication-library-for-go v1.2.0/go.mod h1:wP83P5OoQ5p6ip3ScPr0BAq0BvuPAvacpEuSzyouqAI= github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU= github.com/BurntSushi/xgb v0.0.0-20160522181843-27f122750802/go.mod h1:IVnqGOEym/WlBOVXweHU+Q+/VP0lqqI8lqeDx9IjBqo= -github.com/Microsoft/go-winio v0.4.11/go.mod h1:VhR8bwka0BXejwEJY73c50VrPtXAaKcyvVC4A4RozmA= -github.com/Microsoft/go-winio v0.4.14/go.mod h1:qXqCSQ3Xa7+6tgxaGTIe4Kpcdsi+P8jBhyzoq1bpyYA= -github.com/Microsoft/go-winio v0.4.15-0.20190919025122-fc70bd9a86b5/go.mod h1:tTuCMEN+UleMWgg9dVx4Hu52b1bJo+59jBh3ajtinzw= -github.com/Microsoft/go-winio v0.4.16-0.20201130162521-d1ffc52c7331/go.mod h1:XB6nPKklQyQ7GC9LdcBEcBl8PF76WugXOPRXwdLnMv0= -github.com/Microsoft/go-winio v0.4.16/go.mod h1:XB6nPKklQyQ7GC9LdcBEcBl8PF76WugXOPRXwdLnMv0= -github.com/Microsoft/go-winio v0.4.17-0.20210211115548-6eac466e5fa3/go.mod h1:JPGBdM1cNvN/6ISo+n8V5iA4v8pBzdOpzfwIujj1a84= -github.com/Microsoft/go-winio v0.4.17-0.20210324224401-5516f17a5958/go.mod h1:JPGBdM1cNvN/6ISo+n8V5iA4v8pBzdOpzfwIujj1a84= -github.com/Microsoft/go-winio v0.4.17/go.mod h1:JPGBdM1cNvN/6ISo+n8V5iA4v8pBzdOpzfwIujj1a84= github.com/Microsoft/go-winio v0.5.2 h1:a9IhgEQBCUEk6QCdml9CiJGhAws+YwffDHEMp1VMrpA= github.com/Microsoft/go-winio v0.5.2/go.mod h1:WpS1mjBmmwHBEWmogvA2mj8546UReBk4v8QkMxJ6pZY= -github.com/Microsoft/hcsshim v0.8.6/go.mod h1:Op3hHsoHPAvb6lceZHDtd9OkTew38wNoXnJs8iY7rUg= -github.com/Microsoft/hcsshim v0.8.7-0.20190325164909-8abdbb8205e4/go.mod h1:Op3hHsoHPAvb6lceZHDtd9OkTew38wNoXnJs8iY7rUg= -github.com/Microsoft/hcsshim v0.8.7/go.mod h1:OHd7sQqRFrYd3RmSgbgji+ctCwkbq2wbEYNSzOYtcBQ= -github.com/Microsoft/hcsshim v0.8.9/go.mod h1:5692vkUqntj1idxauYlpoINNKeqCiG6Sg38RRsjT5y8= -github.com/Microsoft/hcsshim v0.8.14/go.mod h1:NtVKoYxQuTLx6gEq0L96c9Ju4JbRJ4nY2ow3VK6a9Lg= -github.com/Microsoft/hcsshim v0.8.15/go.mod h1:x38A4YbHbdxJtc0sF6oIz+RG0npwSCAvn69iY6URG00= -github.com/Microsoft/hcsshim v0.8.16/go.mod h1:o5/SZqmR7x9JNKsW3pu+nqHm0MF8vbA+VxGOoXdC600= -github.com/Microsoft/hcsshim v0.8.21/go.mod h1:+w2gRZ5ReXQhFOrvSQeNfhrYB/dg3oDwTOcER2fw4I4= -github.com/Microsoft/hcsshim v0.9.10 h1:TxXGNmcbQxBKVWvjvTocNb6jrPyeHlk5EiDhhgHgggs= -github.com/Microsoft/hcsshim v0.9.10/go.mod h1:7pLA8lDk46WKDWlVsENo92gC0XFa8rbKfyFRBqxEbCc= -github.com/Microsoft/hcsshim/test v0.0.0-20201218223536-d3e5debf77da/go.mod h1:5hlzMzRKMLyo42nCZ9oml8AdTlq/0cvIaBv6tK1RehU= -github.com/Microsoft/hcsshim/test v0.0.0-20210227013316-43a75bb4edd3/go.mod h1:mw7qgWloBUl75W/gVH3cQszUg1+gUITj7D6NY7ywVnY= -github.com/NYTimes/gziphandler v0.0.0-20170623195520-56545f4a5d46/go.mod h1:3wb06e3pkSAbeQ52E9H9iFoQsEEwGN64994WTCIhntQ= github.com/OneOfOne/xxhash v1.2.2 h1:KMrpdQIwFcEqXDklaen+P1axHaj9BSKzvpUUfnHldSE= github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU= -github.com/PuerkitoBio/purell v1.0.0/go.mod h1:c11w/QuzBsJSee3cPx9rAFu61PvFxuPbtSwDGJws/X0= -github.com/PuerkitoBio/purell v1.1.1/go.mod h1:c11w/QuzBsJSee3cPx9rAFu61PvFxuPbtSwDGJws/X0= -github.com/PuerkitoBio/urlesc v0.0.0-20160726150825-5bd2802263f2/go.mod h1:uGdkoq3SwY9Y+13GIhn11/XLaGBb4BfwItxLd5jeuXE= -github.com/PuerkitoBio/urlesc v0.0.0-20170810143723-de5bf2ad4578/go.mod h1:uGdkoq3SwY9Y+13GIhn11/XLaGBb4BfwItxLd5jeuXE= -github.com/Shopify/logrus-bugsnag v0.0.0-20171204204709-577dee27f20d/go.mod h1:HI8ITrYtUY+O+ZhtlqUnD8+KwNPOyugEhfP9fdUIaEQ= -github.com/alecthomas/template v0.0.0-20160405071501-a0175ee3bccc/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc= -github.com/alecthomas/template v0.0.0-20190718012654-fb15b899a751/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc= -github.com/alecthomas/units v0.0.0-20151022065526-2efee857e7cf/go.mod h1:ybxpYRFXyAe+OPACYpWeL0wqObRcbAqCMya13uyzqw0= -github.com/alecthomas/units v0.0.0-20190717042225-c3de453c63f4/go.mod h1:ybxpYRFXyAe+OPACYpWeL0wqObRcbAqCMya13uyzqw0= -github.com/alexflint/go-filemutex v0.0.0-20171022225611-72bdc8eae2ae/go.mod h1:CgnQgUtFrFz9mxFNtED3jI5tLDjKlOM+oUF/sTk6ps0= github.com/antihax/optional v1.0.0/go.mod h1:uupD/76wgC+ih3iEmQUL+0Ugr19nfwCT1kdvxnR2qWY= github.com/apoorvam/goterminal v0.0.0-20180523175556-614d345c47e5 h1:VYqcjykqpcq262cDxBAkAelSdg6HETkxgwzQRTS40Aw= github.com/apoorvam/goterminal v0.0.0-20180523175556-614d345c47e5/go.mod h1:E7x8aDc3AQzDKjEoIZCt+XYheHk2OkP+p2UgeNjecH8= -github.com/armon/consul-api v0.0.0-20180202201655-eb2c6b5be1b6/go.mod h1:grANhF5doyWs3UAsr3K4I6qtAmlQcZDesFNEHPZAzj8= -github.com/asaskevich/govalidator v0.0.0-20190424111038-f61b66f89f4a/go.mod h1:lB+ZfQJz7igIIfQNfa7Ml4HSf2uFQQRzpGGRXenZAgY= github.com/asaskevich/govalidator v0.0.0-20200108200545-475eaeb16496 h1:zV3ejI06GQ59hwDQAvmK1qxOQGB3WuVTRoY0okPTAv0= github.com/asaskevich/govalidator v0.0.0-20200108200545-475eaeb16496/go.mod h1:oGkLhpf+kjZl6xBf758TQhh5XrAeiJv/7FRz/2spLIg= github.com/avast/retry-go v3.0.0+incompatible h1:4SOWQ7Qs+oroOTQOYnAHqelpCO0biHSxpiH9JdtuBj0= github.com/avast/retry-go v3.0.0+incompatible/go.mod h1:XtSnn+n/sHqQIpZ10K1qAevBhOOCWBLXXy3hyiqqBrY= github.com/awalterschulze/gographviz v2.0.3+incompatible h1:9sVEXJBJLwGX7EQVhLm2elIKCm7P2YHFC8v6096G09E= github.com/awalterschulze/gographviz v2.0.3+incompatible/go.mod h1:GEV5wmg4YquNw7v1kkyoX9etIk8yVmXj+AkDHuuETHs= -github.com/aws/aws-sdk-go v1.15.11/go.mod h1:mFuSZ37Z9YOHbQEwBWztmVzqXrEkub65tZoCYDt7FT0= github.com/aws/aws-sdk-go v1.44.2 h1:5VBk5r06bgxgRKVaUtm1/4NT/rtrnH2E4cnAYv5zgQc= github.com/aws/aws-sdk-go v1.44.2/go.mod h1:y4AeaBuwd2Lk+GepC1E9v0qOiTws0MIWAX4oIKwKHZo= github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiErDT4WkJ2k= github.com/aymanbagabas/go-osc52/v2 v2.0.1/go.mod h1:uYgXzlJ7ZpABp8OJ+exZzJJhRNQ2ASbcXHWsFqH8hp8= -github.com/beorn7/perks v0.0.0-20160804104726-4c0e84591b9a/go.mod h1:Dwedo/Wpr24TaqPxmxbtue+5NUziq4I4S80YR8gNf3Q= -github.com/beorn7/perks v0.0.0-20180321164747-3a771d992973/go.mod h1:Dwedo/Wpr24TaqPxmxbtue+5NUziq4I4S80YR8gNf3Q= -github.com/beorn7/perks v1.0.0/go.mod h1:KWe93zE9D1o94FZ5RNwFwVgaQK1VOXiVxmqh+CedLV8= github.com/beorn7/perks v1.0.1 h1:VlbKKnNfV8bJzeqoa4cOKqO6bYr3WgKZxO8Z16+hsOM= github.com/beorn7/perks v1.0.1/go.mod h1:G2ZrVWU2WbWT9wwq4/hrbKbnv/1ERSJQ0ibhJ6rlkpw= -github.com/bgentry/speakeasy v0.1.0/go.mod h1:+zsyZBPWlz7T6j88CTgSN5bM796AkVf0kBD4zp0CCIs= -github.com/bitly/go-simplejson v0.5.0/go.mod h1:cXHtHw4XUPsvGaxgjIAn8PhEWG9NfngEKAMDJEczWVA= -github.com/bits-and-blooms/bitset v1.2.0/go.mod h1:gIdJ4wp64HaoK2YrL1Q5/N7Y16edYb8uY+O0FJTyyDA= -github.com/blang/semver v3.1.0+incompatible/go.mod h1:kRBLl5iJ+tD4TcOOxsy/0fnwebNt5EWlYSAyrTnjyyk= -github.com/blang/semver v3.5.1+incompatible/go.mod h1:kRBLl5iJ+tD4TcOOxsy/0fnwebNt5EWlYSAyrTnjyyk= -github.com/bmizerany/assert v0.0.0-20160611221934-b7ed37b82869/go.mod h1:Ekp36dRnpXw/yCqJaO+ZrUyxD+3VXMFFr56k5XYrpB4= -github.com/bshuster-repo/logrus-logstash-hook v0.4.1/go.mod h1:zsTqEiSzDgAa/8GZR7E1qaXrhYNDKBYy5/dWPTIflbk= -github.com/buger/jsonparser v0.0.0-20180808090653-f4dd9f5a6b44/go.mod h1:bbYlZJ7hK1yFx9hf58LP0zeX7UjIGs20ufpu3evjr+s= -github.com/bugsnag/bugsnag-go v0.0.0-20141110184014-b1d153021fcd/go.mod h1:2oa8nejYd4cQ/b0hMIopN0lCRxU0bueqREvZLWFrtK8= 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h1:UOMv5ysSaYNkG+OFQykRIcU/QvvxJf3p21QfJ2Bt github.com/golang/mock v1.4.1/go.mod h1:UOMv5ysSaYNkG+OFQykRIcU/QvvxJf3p21QfJ2Bt3cw= github.com/golang/mock v1.4.3/go.mod h1:UOMv5ysSaYNkG+OFQykRIcU/QvvxJf3p21QfJ2Bt3cw= github.com/golang/mock v1.4.4/go.mod h1:l3mdAwkq5BuhzHwde/uurv3sEJeZMXNpwsxVWU71h+4= -github.com/golang/mock v1.6.0/go.mod h1:p6yTPP+5HYm5mzsMV8JkE6ZKdX+/wYM6Hr+LicevLPs= github.com/golang/protobuf v1.2.0/go.mod h1:6lQm79b+lXiMfvg/cZm0SGofjICqVBUtrP5yJMmIC1U= github.com/golang/protobuf v1.3.1/go.mod h1:6lQm79b+lXiMfvg/cZm0SGofjICqVBUtrP5yJMmIC1U= github.com/golang/protobuf v1.3.2/go.mod h1:6lQm79b+lXiMfvg/cZm0SGofjICqVBUtrP5yJMmIC1U= @@ -491,13 +248,11 @@ github.com/google/go-cmp v0.5.5/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/ github.com/google/go-cmp v0.5.6/go.mod h1:v8dTdLbMG2kIc/vJvl+f65V22dbkXbowE6jgT/gNBxE= github.com/google/go-cmp v0.6.0 h1:ofyhxvXcZhMsU5ulbFiLKl/XBFqE1GSq7atu8tAmTRI= github.com/google/go-cmp v0.6.0/go.mod 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v0.0.0-20210720184732-4bb14d4b1be1/go.mod h1:kpwsk12EmLe github.com/google/renameio v0.1.0/go.mod h1:KWCgfxg9yswjAJkECMjeO8J8rahYeXnNhOm40UhjYkI= github.com/google/s2a-go v0.1.7 h1:60BLSyTrOV4/haCDW4zb1guZItoSq8foHCXrAnjBo/o= github.com/google/s2a-go v0.1.7/go.mod h1:50CgR4k1jNlWBu4UfS4AcfhVe1r6pdZPygJ3R8F0Qdw= -github.com/google/uuid v1.0.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= -github.com/google/uuid v1.1.1/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= github.com/google/uuid v1.1.2/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= -github.com/google/uuid v1.2.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= github.com/google/uuid v1.6.0 h1:NIvaJDMOsjHA8n1jAhLSgzrAzy1Hgr+hNrb57e+94F0= github.com/google/uuid v1.6.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo= github.com/googleapis/enterprise-certificate-proxy v0.3.2 h1:Vie5ybvEvT75RniqhfFxPRy3Bf7vr3h0cechB90XaQs= @@ -533,32 +285,14 @@ github.com/googleapis/gax-go/v2 v2.0.4/go.mod 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h1:njjCfa9FT2d7l9Bc6FUM5FLjQPp3cFF28FI3qnDFljA= golang.org/x/tools v0.0.0-20200904185747-39188db58858/go.mod h1:Cj7w3i3Rnn0Xh82ur9kSqwfTHTeVxaDqrfMjpcNT6bE= -golang.org/x/tools v0.0.0-20200916195026-c9a70fc28ce3/go.mod h1:z6u4i615ZeAfBE4XtMziQW1fSVJXACjjbWkB/mvPzlU= golang.org/x/tools v0.0.0-20201110124207-079ba7bd75cd/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA= golang.org/x/tools v0.0.0-20201201161351-ac6f37ff4c2a/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA= golang.org/x/tools v0.0.0-20201208233053-a543418bbed2/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA= @@ -1277,7 +738,6 @@ golang.org/x/tools v0.0.0-20210105154028-b0ab187a4818/go.mod h1:emZCQorbCU4vsT4f golang.org/x/tools v0.0.0-20210106214847-113979e3529a/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA= golang.org/x/tools v0.0.0-20210108195828-e2f9c7f1fc8e/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA= golang.org/x/tools v0.1.0/go.mod h1:xkSsbof2nBLbhDlRMhhhyNLN/zl3eTqcnHD5viDpcZ0= -golang.org/x/tools v0.1.1/go.mod h1:o0xws9oXOQQZyjljx8fwUC0k7L1pTE6eaCbjGeHmOkk= golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc= golang.org/x/tools v0.19.0 h1:tfGCXNR1OsFG+sVdLAitlpjAvD/I6dHDKnYrpEZUHkw= golang.org/x/tools v0.19.0/go.mod h1:qoJWxmGSIBmAeriMx19ogtrEPrGtDbPK634QFIcLAhc= @@ -1289,7 +749,6 @@ golang.org/x/xerrors v0.0.0-20220907171357-04be3eba64a2 h1:H2TDz8ibqkAF6YGhCdN3j golang.org/x/xerrors v0.0.0-20220907171357-04be3eba64a2/go.mod h1:K8+ghG5WaK9qNqU5K3HdILfMLy1f3aNYFI/wnl100a8= gomodules.xyz/jsonpatch/v2 v2.4.0 h1:Ci3iUJyx9UeRx7CeFN8ARgGbkESwJK+KB9lLcWxY/Zw= gomodules.xyz/jsonpatch/v2 v2.4.0/go.mod h1:AH3dM2RI6uoBZxn3LVrfvJ3E0/9dG4cSrbuBJT4moAY= -google.golang.org/api v0.0.0-20160322025152-9bf6e6e569ff/go.mod h1:4mhQ8q/RsB7i+udVvVy5NUi08OU8ZlA0gRVgrF7VFY0= google.golang.org/api v0.4.0/go.mod h1:8k5glujaEP+g9n7WNsDg8QP6cUVNI86fCNMcbazEtwE= google.golang.org/api v0.7.0/go.mod h1:WtwebWUNSVBH/HAw79HIFXZNqEvBhG+Ra+ax0hx3E3M= google.golang.org/api v0.8.0/go.mod h1:o4eAsZoiT+ibD93RtjEohWalFOjRDx6CVaqeizhEnKg= @@ -1320,13 +779,11 @@ google.golang.org/appengine v1.6.6/go.mod h1:8WjMMxjGQR8xUklV/ARdw2HLXBOI7O7uCID google.golang.org/appengine v1.6.7/go.mod h1:8WjMMxjGQR8xUklV/ARdw2HLXBOI7O7uCIDZVag1xfc= google.golang.org/appengine v1.6.8 h1:IhEN5q69dyKagZPYMSdIjS2HqprW324FRQZJcGqPAsM= google.golang.org/appengine v1.6.8/go.mod h1:1jJ3jBArFh5pcgW8gCtRJnepW8FzD1V44FJffLiz/Ds= -google.golang.org/cloud v0.0.0-20151119220103-975617b05ea8/go.mod h1:0H1ncTHf11KCFhTc/+EFRbzSCOZx+VUbRMk55Yv5MYk= google.golang.org/genproto v0.0.0-20180817151627-c66870c02cf8/go.mod h1:JiN7NxoALGmiZfu7CAH4rXhgtRTLTxftemlI0sWmxmc= google.golang.org/genproto v0.0.0-20190307195333-5fe7a883aa19/go.mod h1:VzzqZJRnGkLBvHegQrXjBqPurQTc5/KpmUdxsrq26oE= google.golang.org/genproto v0.0.0-20190418145605-e7d98fc518a7/go.mod h1:VzzqZJRnGkLBvHegQrXjBqPurQTc5/KpmUdxsrq26oE= google.golang.org/genproto v0.0.0-20190425155659-357c62f0e4bb/go.mod h1:VzzqZJRnGkLBvHegQrXjBqPurQTc5/KpmUdxsrq26oE= google.golang.org/genproto v0.0.0-20190502173448-54afdca5d873/go.mod h1:VzzqZJRnGkLBvHegQrXjBqPurQTc5/KpmUdxsrq26oE= -google.golang.org/genproto v0.0.0-20190522204451-c2c4e71fbf69/go.mod h1:z3L6/3dTEVtUr6QSP8miRzeRqwQOioJ9I66odjN4I7s= google.golang.org/genproto v0.0.0-20190801165951-fa694d86fc64/go.mod h1:DMBHOl98Agz4BDEuKkezgsaosCRResVns1a3J2ZsMNc= google.golang.org/genproto v0.0.0-20190819201941-24fa4b261c55/go.mod h1:DMBHOl98Agz4BDEuKkezgsaosCRResVns1a3J2ZsMNc= google.golang.org/genproto v0.0.0-20190911173649-1774047e7e51/go.mod h1:IbNlFCBrqXvoKpeg0TB2l7cyZUmoaFKYIwrEpbDKLA8= @@ -1335,7 +792,6 @@ google.golang.org/genproto v0.0.0-20191115194625-c23dd37a84c9/go.mod h1:n3cpQtvx google.golang.org/genproto v0.0.0-20191216164720-4f79533eabd1/go.mod h1:n3cpQtvxv34hfy77yVDNjmbRyujviMdxYliBSkLhpCc= google.golang.org/genproto v0.0.0-20191230161307-f3c370f40bfb/go.mod h1:n3cpQtvxv34hfy77yVDNjmbRyujviMdxYliBSkLhpCc= google.golang.org/genproto v0.0.0-20200115191322-ca5a22157cba/go.mod h1:n3cpQtvxv34hfy77yVDNjmbRyujviMdxYliBSkLhpCc= -google.golang.org/genproto v0.0.0-20200117163144-32f20d992d24/go.mod h1:n3cpQtvxv34hfy77yVDNjmbRyujviMdxYliBSkLhpCc= google.golang.org/genproto v0.0.0-20200122232147-0452cf42e150/go.mod h1:n3cpQtvxv34hfy77yVDNjmbRyujviMdxYliBSkLhpCc= google.golang.org/genproto v0.0.0-20200204135345-fa8e72b47b90/go.mod h1:GmwEX6Z4W5gMy59cAlVYjN9JhxgbQH6Gn+gFDQe2lzA= google.golang.org/genproto v0.0.0-20200212174721-66ed5ce911ce/go.mod h1:55QSHmfGQM9UVYDPBsyGGes0y52j32PQ3BqQfXhyH3c= @@ -1350,14 +806,12 @@ google.golang.org/genproto v0.0.0-20200511104702-f5ebc3bea380/go.mod h1:55QSHmfG google.golang.org/genproto v0.0.0-20200513103714-09dca8ec2884/go.mod h1:55QSHmfGQM9UVYDPBsyGGes0y52j32PQ3BqQfXhyH3c= google.golang.org/genproto v0.0.0-20200515170657-fc4c6c6a6587/go.mod h1:YsZOwe1myG/8QRHRsmBRE1LrgQY60beZKjly0O1fX9U= google.golang.org/genproto v0.0.0-20200526211855-cb27e3aa2013/go.mod h1:NbSheEEYHJ7i3ixzK3sjbqSGDJWnxyFXZblF3eUsNvo= -google.golang.org/genproto v0.0.0-20200527145253-8367513e4ece/go.mod h1:jDfRM7FcilCzHH/e9qn6dsT145K34l5v+OpcnNgKAAA= google.golang.org/genproto v0.0.0-20200618031413-b414f8b61790/go.mod h1:jDfRM7FcilCzHH/e9qn6dsT145K34l5v+OpcnNgKAAA= google.golang.org/genproto v0.0.0-20200729003335-053ba62fc06f/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20200804131852-c06518451d9c/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20200825200019-8632dd797987/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20200904004341-0bd0a958aa1d/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20201109203340-2640f1f9cdfb/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= -google.golang.org/genproto v0.0.0-20201110150050-8816d57aaa9a/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20201201144952-b05cb90ed32e/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20201210142538-e3217bee35cc/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= google.golang.org/genproto v0.0.0-20201214200347-8c77b98c765d/go.mod h1:FWY/as6DDZQgahTzZj3fqbO1CbirC29ZNUFHwi0/+no= @@ -1370,14 +824,10 @@ google.golang.org/genproto/googleapis/api v0.0.0-20240123012728-ef4313101c80 h1: google.golang.org/genproto/googleapis/api v0.0.0-20240123012728-ef4313101c80/go.mod h1:4jWUdICTdgc3Ibxmr8nAJiiLHwQBY0UI0XZcEMaFKaA= google.golang.org/genproto/googleapis/rpc v0.0.0-20240123012728-ef4313101c80 h1:AjyfHzEPEFp/NpvfN5g+KDla3EMojjhRVZc1i7cj+oM= google.golang.org/genproto/googleapis/rpc v0.0.0-20240123012728-ef4313101c80/go.mod h1:PAREbraiVEVGVdTZsVWjSbbTtSyGbAgIIvni8a8CD5s= -google.golang.org/grpc v0.0.0-20160317175043-d3ddb4469d5a/go.mod h1:yo6s7OP7yaDglbqo1J04qKzAhqBH6lvTonzMVmEdcZw= google.golang.org/grpc v1.19.0/go.mod h1:mqu4LbDTu4XGKhr4mRzUsmM4RtVoemTSY81AxZiDr8c= google.golang.org/grpc v1.20.1/go.mod h1:10oTOabMzJvdu6/UiuZezV6QK5dSlG84ov/aaiqXj38= -google.golang.org/grpc v1.21.0/go.mod h1:oYelfM1adQP15Ek0mdvEgi9Df8B9CZIaU1084ijfRaM= google.golang.org/grpc v1.21.1/go.mod h1:oYelfM1adQP15Ek0mdvEgi9Df8B9CZIaU1084ijfRaM= google.golang.org/grpc v1.23.0/go.mod h1:Y5yQAOtifL1yxbo5wqy6BxZv8vAUGQwXBOALyacEbxg= -google.golang.org/grpc v1.23.1/go.mod h1:Y5yQAOtifL1yxbo5wqy6BxZv8vAUGQwXBOALyacEbxg= -google.golang.org/grpc v1.24.0/go.mod h1:XDChyiUovWa60DnaeDeZmSW86xtLtjtZbwvSiRnRtcA= google.golang.org/grpc v1.25.1/go.mod h1:c3i+UQWmh7LiEpx4sFZnkU36qjEYZ0imhYfXVyQciAY= google.golang.org/grpc v1.26.0/go.mod h1:qbnxyOmOxrQa7FizSgH+ReBfzJrCY1pSN7KXBS8abTk= google.golang.org/grpc v1.27.0/go.mod h1:qbnxyOmOxrQa7FizSgH+ReBfzJrCY1pSN7KXBS8abTk= @@ -1411,37 +861,18 @@ google.golang.org/protobuf v1.26.0/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQ google.golang.org/protobuf v1.27.1/go.mod 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h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= -gopkg.in/yaml.v2 v2.3.0/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= gopkg.in/yaml.v2 v2.4.0 h1:D8xgwECY7CYvx+Y2n4sBz93Jn9JRvxdiyyo8CTfuKaY= gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ= gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= @@ -1451,7 +882,6 @@ gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= gotest.tools v2.2.0+incompatible h1:VsBPFP1AI068pPrMxtb/S8Zkgf9xEmTLJjfM+P5UIEo= gotest.tools v2.2.0+incompatible/go.mod h1:DsYFclhRJ6vuDpmuTbkuFWG+y2sxOXAzmJt81HFBacw= gotest.tools/v3 v3.0.2/go.mod h1:3SzNCllyD9/Y+b5r9JIKQ474KzkZyqLqEfYqMsX94Bk= -gotest.tools/v3 v3.0.3/go.mod h1:Z7Lb0S5l+klDB31fvDQX8ss/FlKDxtlFlw3Oa8Ymbl8= gotest.tools/v3 v3.5.0 h1:Ljk6PdHdOhAb5aDMWXjDLMMhph+BpztA4v1QdqEW2eY= gotest.tools/v3 v3.5.0/go.mod h1:isy3WKz7GK6uNw/sbHzfKBLvlvXwUyV06n6brMxxopU= honnef.co/go/tools v0.0.0-20190102054323-c2f93a96b099/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4= @@ -1461,67 +891,30 @@ honnef.co/go/tools v0.0.0-20190523083050-ea95bdfd59fc/go.mod h1:rf3lG4BRIbNafJWh honnef.co/go/tools v0.0.1-2019.2.3/go.mod h1:a3bituU0lyd329TUQxRnasdCoJDkEUEAqEt0JzvZhAg= honnef.co/go/tools v0.0.1-2020.1.3/go.mod h1:X/FiERA/W4tHapMX5mGpAtMSVEeEUOyHaw9vFzvIQ3k= honnef.co/go/tools v0.0.1-2020.1.4/go.mod h1:X/FiERA/W4tHapMX5mGpAtMSVEeEUOyHaw9vFzvIQ3k= -k8s.io/api v0.20.1/go.mod h1:KqwcCVogGxQY3nBlRpwt+wpAMF/KjaCc7RpywacvqUo= -k8s.io/api v0.20.4/go.mod h1:++lNL1AJMkDymriNniQsWRkMDzRaX2Y/POTUi8yvqYQ= -k8s.io/api v0.20.6/go.mod h1:X9e8Qag6JV/bL5G6bU8sdVRltWKmdHsFUGS3eVndqE8= k8s.io/api v0.28.4 h1:8ZBrLjwosLl/NYgv1P7EQLqoO8MGQApnbgH8tu3BMzY= k8s.io/api v0.28.4/go.mod h1:axWTGrY88s/5YE+JSt4uUi6NMM+gur1en2REMR7IRj0= k8s.io/apiextensions-apiserver v0.28.4 h1:AZpKY/7wQ8n+ZYDtNHbAJBb+N4AXXJvyZx6ww6yAJvU= k8s.io/apiextensions-apiserver v0.28.4/go.mod h1:pgQIZ1U8eJSMQcENew/0ShUTlePcSGFq6dxSxf2mwPM= -k8s.io/apimachinery v0.20.1/go.mod h1:WlLqWAHZGg07AeltaI0MV5uk1Omp8xaN0JGLY6gkRpU= -k8s.io/apimachinery v0.20.4/go.mod h1:WlLqWAHZGg07AeltaI0MV5uk1Omp8xaN0JGLY6gkRpU= -k8s.io/apimachinery v0.20.6/go.mod h1:ejZXtW1Ra6V1O5H8xPBGz+T3+4gfkTCeExAHKU57MAc= k8s.io/apimachinery v0.28.4 h1:zOSJe1mc+GxuMnFzD4Z/U1wst50X28ZNsn5bhgIIao8= k8s.io/apimachinery v0.28.4/go.mod h1:wI37ncBvfAoswfq626yPTe6Bz1c22L7uaJ8dho83mgg= -k8s.io/apiserver v0.20.1/go.mod h1:ro5QHeQkgMS7ZGpvf4tSMx6bBOgPfE+f52KwvXfScaU= -k8s.io/apiserver v0.20.4/go.mod h1:Mc80thBKOyy7tbvFtB4kJv1kbdD0eIH8k8vianJcbFM= -k8s.io/apiserver v0.20.6/go.mod h1:QIJXNt6i6JB+0YQRNcS0hdRHJlMhflFmsBDeSgT1r8Q= -k8s.io/client-go v0.20.1/go.mod h1:/zcHdt1TeWSd5HoUe6elJmHSQ6uLLgp4bIJHVEuy+/Y= -k8s.io/client-go v0.20.4/go.mod h1:LiMv25ND1gLUdBeYxBIwKpkSC5IsozMMmOOeSJboP+k= -k8s.io/client-go v0.20.6/go.mod h1:nNQMnOvEUEsOzRRFIIkdmYOjAZrC8bgq0ExboWSU1I0= k8s.io/client-go v0.28.4 h1:Np5ocjlZcTrkyRJ3+T3PkXDpe4UpatQxj85+xjaD2wY= k8s.io/client-go v0.28.4/go.mod h1:0VDZFpgoZfelyP5Wqu0/r/TRYcLYuJ2U1KEeoaPa1N4= -k8s.io/code-generator v0.19.7/go.mod h1:lwEq3YnLYb/7uVXLorOJfxg+cUu2oihFhHZ0n9NIla0= -k8s.io/component-base v0.20.1/go.mod h1:guxkoJnNoh8LNrbtiQOlyp2Y2XFCZQmrcg2n/DeYNLk= -k8s.io/component-base v0.20.4/go.mod h1:t4p9EdiagbVCJKrQ1RsA5/V4rFQNDfRlevJajlGwgjI= -k8s.io/component-base v0.20.6/go.mod h1:6f1MPBAeI+mvuts3sIdtpjljHWBQ2cIy38oBIWMYnrM= k8s.io/component-base v0.28.4 h1:c/iQLWPdUgI90O+T9TeECg8o7N3YJTiuz2sKxILYcYo= k8s.io/component-base v0.28.4/go.mod h1:m9hR0uvqXDybiGL2nf/3Lf0MerAfQXzkfWhUY58JUbU= -k8s.io/cri-api v0.17.3/go.mod h1:X1sbHmuXhwaHs9xxYffLqJogVsnI+f6cPRcgPel7ywM= -k8s.io/cri-api v0.20.1/go.mod h1:2JRbKt+BFLTjtrILYVqQK5jqhI+XNdF6UiGMgczeBCI= -k8s.io/cri-api v0.20.4/go.mod h1:2JRbKt+BFLTjtrILYVqQK5jqhI+XNdF6UiGMgczeBCI= -k8s.io/cri-api v0.20.6/go.mod h1:ew44AjNXwyn1s0U4xCKGodU7J1HzBeZ1MpGrpa5r8Yc= -k8s.io/gengo v0.0.0-20200413195148-3a45101e95ac/go.mod h1:ezvh/TsK7cY6rbqRK0oQQ8IAqLxYwwyPxAX1Pzy0ii0= -k8s.io/gengo v0.0.0-20200428234225-8167cfdcfc14/go.mod h1:ezvh/TsK7cY6rbqRK0oQQ8IAqLxYwwyPxAX1Pzy0ii0= -k8s.io/gengo v0.0.0-20201113003025-83324d819ded/go.mod h1:FiNAH4ZV3gBg2Kwh89tzAEV2be7d5xI0vBa/VySYy3E= -k8s.io/klog/v2 v2.0.0/go.mod h1:PBfzABfn139FHAV07az/IF9Wp1bkk3vpT2XSJ76fSDE= -k8s.io/klog/v2 v2.2.0/go.mod h1:Od+F08eJP+W3HUb4pSrPpgp9DGU4GzlpG/TmITuYh/Y= -k8s.io/klog/v2 v2.4.0/go.mod h1:Od+F08eJP+W3HUb4pSrPpgp9DGU4GzlpG/TmITuYh/Y= k8s.io/klog/v2 v2.100.1 h1:7WCHKK6K8fNhTqfBhISHQ97KrnJNFZMcQvKp7gP/tmg= k8s.io/klog/v2 v2.100.1/go.mod h1:y1WjHnz7Dj687irZUWR/WLkLc5N1YHtjLdmgWjndZn0= -k8s.io/kube-openapi v0.0.0-20200805222855-6aeccd4b50c6/go.mod h1:UuqjUnNftUyPE5H64/qeyjQoUZhGpeFDVdxjTeEVN2o= -k8s.io/kube-openapi v0.0.0-20201113171705-d219536bb9fd/go.mod h1:WOJ3KddDSol4tAGcJo0Tvi+dK12EcqSLqcWsryKMpfM= k8s.io/kube-openapi v0.0.0-20230717233707-2695361300d9 h1:LyMgNKD2P8Wn1iAwQU5OhxCKlKJy0sHc+PcDwFB24dQ= k8s.io/kube-openapi v0.0.0-20230717233707-2695361300d9/go.mod h1:wZK2AVp1uHCp4VamDVgBP2COHZjqD1T68Rf0CM3YjSM= -k8s.io/kubernetes v1.13.0/go.mod h1:ocZa8+6APFNC2tX1DZASIbocyYT5jHzqFVsY5aoB7Jk= -k8s.io/utils v0.0.0-20201110183641-67b214c5f920/go.mod h1:jPW/WVKK9YHAvNhRxK0md/EJ228hCsBRufyofKtW8HA= k8s.io/utils v0.0.0-20230406110748-d93618cff8a2 h1:qY1Ad8PODbnymg2pRbkyMT/ylpTrCM8P2RJ0yroCyIk= k8s.io/utils v0.0.0-20230406110748-d93618cff8a2/go.mod h1:OLgZIPagt7ERELqWJFomSt595RzquPNLL48iOWgYOg0= rsc.io/binaryregexp v0.2.0/go.mod h1:qTv7/COck+e2FymRvadv62gMdZztPaShugOCi3I+8D8= rsc.io/quote/v3 v3.1.0/go.mod h1:yEA65RcK8LyAZtP9Kv3t0HmxON59tX3rD+tICJqUlj0= rsc.io/sampler v1.3.0/go.mod h1:T1hPZKmBbMNahiBKFy5HrXp6adAjACjK9JXDnKaTXpA= -sigs.k8s.io/apiserver-network-proxy/konnectivity-client v0.0.14/go.mod h1:LEScyzhFmoF5pso/YSeBstl57mOzx9xlU9n85RGrDQg= -sigs.k8s.io/apiserver-network-proxy/konnectivity-client v0.0.15/go.mod h1:LEScyzhFmoF5pso/YSeBstl57mOzx9xlU9n85RGrDQg= sigs.k8s.io/controller-runtime v0.16.3 h1:2TuvuokmfXvDUamSx1SuAOO3eTyye+47mJCigwG62c4= sigs.k8s.io/controller-runtime v0.16.3/go.mod h1:j7bialYoSn142nv9sCOJmQgDXQXxnroFU4VnX/brVJ0= sigs.k8s.io/json v0.0.0-20221116044647-bc3834ca7abd h1:EDPBXCAspyGV4jQlpZSudPeMmr1bNJefnuqLsRAsHZo= sigs.k8s.io/json v0.0.0-20221116044647-bc3834ca7abd/go.mod h1:B8JuhiUyNFVKdsE8h686QcCxMaH6HrOAZj4vswFpcB0= -sigs.k8s.io/structured-merge-diff/v4 v4.0.1/go.mod h1:bJZC9H9iH24zzfZ/41RGcq60oK1F7G282QMXDPYydCw= -sigs.k8s.io/structured-merge-diff/v4 v4.0.2/go.mod h1:bJZC9H9iH24zzfZ/41RGcq60oK1F7G282QMXDPYydCw= -sigs.k8s.io/structured-merge-diff/v4 v4.0.3/go.mod h1:bJZC9H9iH24zzfZ/41RGcq60oK1F7G282QMXDPYydCw= sigs.k8s.io/structured-merge-diff/v4 v4.2.3 h1:PRbqxJClWWYMNV1dhaG4NsibJbArud9kFxnAMREiWFE= sigs.k8s.io/structured-merge-diff/v4 v4.2.3/go.mod h1:qjx8mGObPmV2aSZepjQjbmb2ihdVs8cGKBraizNC69E= -sigs.k8s.io/yaml v1.1.0/go.mod h1:UJmg0vDUVViEyp3mgSv9WPwZCDxu4rQW1olrI1uml+o= -sigs.k8s.io/yaml v1.2.0/go.mod h1:yfXDCHCao9+ENCvLSE62v9VSji2MKu5jeNfTrofGhJc= sigs.k8s.io/yaml v1.3.0 h1:a2VclLzOGrwOHDiV8EfBGhvjHvP46CtW5j6POvhYGGo= sigs.k8s.io/yaml v1.3.0/go.mod h1:GeOyir5tyXNByN85N/dRIT9es5UQNerPYEKK56eTBm8= diff --git a/flytectl/pkg/docker/docker.go b/flytectl/pkg/docker/docker.go index 9d3ccb4efe..b35f67f946 100644 --- a/flytectl/pkg/docker/docker.go +++ b/flytectl/pkg/docker/docker.go @@ -6,20 +6,19 @@ import ( "github.com/docker/docker/api/types" "github.com/docker/docker/api/types/container" - "github.com/docker/docker/api/types/filters" "github.com/docker/docker/api/types/network" "github.com/docker/docker/api/types/volume" "github.com/docker/docker/client" - specs "github.com/opencontainers/image-spec/specs-go/v1" + ocispec "github.com/opencontainers/image-spec/specs-go/v1" ) //go:generate mockery -all -case=underscore type Docker interface { - ContainerCreate(ctx context.Context, config *container.Config, hostConfig *container.HostConfig, networkingConfig *network.NetworkingConfig, platform *specs.Platform, containerName string) (container.ContainerCreateCreatedBody, error) + ContainerCreate(ctx context.Context, config *container.Config, hostConfig *container.HostConfig, networkingConfig *network.NetworkingConfig, platform *ocispec.Platform, containerName string) (container.CreateResponse, error) ContainerStart(ctx context.Context, containerID string, options types.ContainerStartOptions) error ImagePull(ctx context.Context, refStr string, options types.ImagePullOptions) (io.ReadCloser, error) - ContainerWait(ctx context.Context, containerID string, condition container.WaitCondition) (<-chan container.ContainerWaitOKBody, <-chan error) + ContainerWait(ctx context.Context, container string, condition container.WaitCondition) (<-chan container.WaitResponse, <-chan error) ContainerLogs(ctx context.Context, container string, options types.ContainerLogsOptions) (io.ReadCloser, error) ContainerRemove(ctx context.Context, containerID string, options types.ContainerRemoveOptions) error ContainerList(ctx context.Context, options types.ContainerListOptions) ([]types.Container, error) @@ -29,8 +28,8 @@ type Docker interface { ImageList(ctx context.Context, listOption types.ImageListOptions) ([]types.ImageSummary, error) ContainerStatPath(ctx context.Context, containerID, path string) (types.ContainerPathStat, error) CopyFromContainer(ctx context.Context, containerID, srcPath string) (io.ReadCloser, types.ContainerPathStat, error) - VolumeCreate(ctx context.Context, options volume.VolumeCreateBody) (types.Volume, error) - VolumeList(ctx context.Context, filter filters.Args) (volume.VolumeListOKBody, error) + VolumeCreate(ctx context.Context, options volume.CreateOptions) (volume.Volume, error) + VolumeList(ctx context.Context, options volume.ListOptions) (volume.ListResponse, error) VolumeRemove(ctx context.Context, volumeID string, force bool) error } diff --git a/flytectl/pkg/docker/docker_util.go b/flytectl/pkg/docker/docker_util.go index a49f16711d..f2c98da418 100644 --- a/flytectl/pkg/docker/docker_util.go +++ b/flytectl/pkg/docker/docker_util.go @@ -373,21 +373,24 @@ func PrintCreateVolume(name string) { func GetOrCreateVolume( ctx context.Context, cli Docker, volumeName string, dryRun bool, -) (*types.Volume, error) { +) (*volume.Volume, error) { if dryRun { PrintCreateVolume(volumeName) return nil, nil } - resp, err := cli.VolumeList(ctx, filters.NewArgs( - filters.KeyValuePair{Key: "name", Value: fmt.Sprintf("^%s$", volumeName)}, - )) + lo := volume.ListOptions{ + Filters: filters.NewArgs( + filters.KeyValuePair{Key: "name", Value: fmt.Sprintf("^%s$", volumeName)}, + ), + } + resp, err := cli.VolumeList(ctx, lo) if err != nil { return nil, err } switch len(resp.Volumes) { case 0: - v, err := cli.VolumeCreate(ctx, volume.VolumeCreateBody{Name: volumeName}) + v, err := cli.VolumeCreate(ctx, volume.CreateOptions{Name: volumeName}) if err != nil { return nil, err } diff --git a/flytectl/pkg/docker/docker_util_test.go b/flytectl/pkg/docker/docker_util_test.go index 7bcb27fd27..fa99e88c8a 100644 --- a/flytectl/pkg/docker/docker_util_test.go +++ b/flytectl/pkg/docker/docker_util_test.go @@ -197,7 +197,7 @@ func TestStartContainer(t *testing.T) { PortBindings: p2, Privileged: true, ExtraHosts: ExtraHosts, - }, nil, nil, mock.Anything).Return(container.ContainerCreateCreatedBody{ + }, nil, nil, mock.Anything).Return(container.CreateResponse{ ID: "Hello", }, nil) mockDocker.OnContainerStart(ctx, "Hello", types.ContainerStartOptions{}).Return(nil) @@ -227,7 +227,7 @@ func TestStartContainer(t *testing.T) { PortBindings: p2, Privileged: true, ExtraHosts: ExtraHosts, - }, nil, nil, mock.Anything).Return(container.ContainerCreateCreatedBody{ + }, nil, nil, mock.Anything).Return(container.CreateResponse{ ID: "Hello", }, nil) mockDocker.OnContainerStart(ctx, "Hello", types.ContainerStartOptions{}).Return(nil) @@ -254,7 +254,7 @@ func TestStartContainer(t *testing.T) { PortBindings: p2, Privileged: true, ExtraHosts: ExtraHosts, - }, nil, nil, mock.Anything).Return(container.ContainerCreateCreatedBody{ + }, nil, nil, mock.Anything).Return(container.CreateResponse{ ID: "", }, fmt.Errorf("error")) mockDocker.OnContainerStart(ctx, "Hello", types.ContainerStartOptions{}).Return(nil) @@ -280,7 +280,7 @@ func TestStartContainer(t *testing.T) { PortBindings: p2, Privileged: true, ExtraHosts: ExtraHosts, - }, nil, nil, mock.Anything).Return(container.ContainerCreateCreatedBody{ + }, nil, nil, mock.Anything).Return(container.CreateResponse{ ID: "Hello", }, nil) mockDocker.OnContainerStart(ctx, "Hello", types.ContainerStartOptions{}).Return(fmt.Errorf("error")) @@ -415,9 +415,9 @@ func TestGetOrCreateVolume(t *testing.T) { t.Run("VolumeExists", func(t *testing.T) { ctx := context.Background() mockDocker := &mocks.Docker{} - expected := &types.Volume{Name: "test"} + expected := &volume.Volume{Name: "test"} - mockDocker.OnVolumeList(ctx, filters.NewArgs(filters.KeyValuePair{Key: "name", Value: "^test$"})).Return(volume.VolumeListOKBody{Volumes: []*types.Volume{expected}}, nil) + mockDocker.OnVolumeList(ctx, volume.ListOptions{Filters: filters.NewArgs(filters.KeyValuePair{Key: "name", Value: "^test$"})}).Return(volume.ListResponse{Volumes: []*volume.Volume{expected}}, nil) actual, err := GetOrCreateVolume(ctx, mockDocker, "test", false) assert.Equal(t, expected, actual, "volumes should match") assert.Nil(t, err) @@ -425,10 +425,10 @@ func TestGetOrCreateVolume(t *testing.T) { t.Run("VolumeDoesNotExist", func(t *testing.T) { ctx := context.Background() mockDocker := &mocks.Docker{} - expected := types.Volume{Name: "test"} + expected := volume.Volume{Name: "test"} - mockDocker.OnVolumeList(ctx, filters.NewArgs(filters.KeyValuePair{Key: "name", Value: "^test$"})).Return(volume.VolumeListOKBody{Volumes: []*types.Volume{}}, nil) - mockDocker.OnVolumeCreate(ctx, volume.VolumeCreateBody{Name: "test"}).Return(expected, nil) + mockDocker.OnVolumeList(ctx, volume.ListOptions{Filters: filters.NewArgs(filters.KeyValuePair{Key: "name", Value: "^test$"})}).Return(volume.ListResponse{Volumes: []*volume.Volume{}}, nil) + mockDocker.OnVolumeCreate(ctx, volume.CreateOptions{Name: "test"}).Return(expected, nil) actual, err := GetOrCreateVolume(ctx, mockDocker, "test", false) assert.Equal(t, expected, *actual, "volumes should match") assert.Nil(t, err) @@ -477,7 +477,7 @@ func TestCopyFile(t *testing.T) { mockDocker := &mocks.Docker{} mockDocker.OnContainerCreate( ctx, &container.Config{Image: image}, &container.HostConfig{}, nil, nil, containerName).Return( - container.ContainerCreateCreatedBody{ID: containerName}, nil) + container.CreateResponse{ID: containerName}, nil) mockDocker.OnContainerStatPath(ctx, containerName, "some source").Return(types.ContainerPathStat{}, nil) mockDocker.OnCopyFromContainer(ctx, containerName, "some source").Return(reader, types.ContainerPathStat{}, nil) mockDocker.OnContainerRemove(ctx, containerName, types.ContainerRemoveOptions{Force: true}).Return(nil) @@ -500,7 +500,7 @@ func TestCopyFile(t *testing.T) { mockDocker := &mocks.Docker{} mockDocker.OnContainerCreate( ctx, &container.Config{Image: image}, &container.HostConfig{}, nil, nil, containerName).Return( - container.ContainerCreateCreatedBody{ID: containerName}, nil) + container.CreateResponse{ID: containerName}, nil) mockDocker.OnContainerStatPath(ctx, containerName, "some source").Return(types.ContainerPathStat{}, myErr) mockDocker.OnContainerRemove(ctx, containerName, types.ContainerRemoveOptions{Force: true}).Return(nil) assert.Nil(t, err) diff --git a/flytectl/pkg/docker/mocks/docker.go b/flytectl/pkg/docker/mocks/docker.go index b5361fc957..0a9c4d468b 100644 --- a/flytectl/pkg/docker/mocks/docker.go +++ b/flytectl/pkg/docker/mocks/docker.go @@ -7,8 +7,6 @@ import ( container "github.com/docker/docker/api/types/container" - filters "github.com/docker/docker/api/types/filters" - io "io" mock "github.com/stretchr/testify/mock" @@ -31,7 +29,7 @@ type Docker_ContainerCreate struct { *mock.Call } -func (_m Docker_ContainerCreate) Return(_a0 container.ContainerCreateCreatedBody, _a1 error) *Docker_ContainerCreate { +func (_m Docker_ContainerCreate) Return(_a0 container.CreateResponse, _a1 error) *Docker_ContainerCreate { return &Docker_ContainerCreate{Call: _m.Call.Return(_a0, _a1)} } @@ -46,14 +44,14 @@ func (_m *Docker) OnContainerCreateMatch(matchers ...interface{}) *Docker_Contai } // ContainerCreate provides a mock function with given fields: ctx, config, hostConfig, networkingConfig, platform, containerName -func (_m *Docker) ContainerCreate(ctx context.Context, config *container.Config, hostConfig *container.HostConfig, networkingConfig *network.NetworkingConfig, platform *v1.Platform, containerName string) (container.ContainerCreateCreatedBody, error) { +func (_m *Docker) ContainerCreate(ctx context.Context, config *container.Config, hostConfig *container.HostConfig, networkingConfig *network.NetworkingConfig, platform *v1.Platform, containerName string) (container.CreateResponse, error) { ret := _m.Called(ctx, config, hostConfig, networkingConfig, platform, containerName) - var r0 container.ContainerCreateCreatedBody - if rf, ok := ret.Get(0).(func(context.Context, *container.Config, *container.HostConfig, *network.NetworkingConfig, *v1.Platform, string) container.ContainerCreateCreatedBody); ok { + var r0 container.CreateResponse + if rf, ok := ret.Get(0).(func(context.Context, *container.Config, *container.HostConfig, *network.NetworkingConfig, *v1.Platform, string) container.CreateResponse); ok { r0 = rf(ctx, config, hostConfig, networkingConfig, platform, containerName) } else { - r0 = ret.Get(0).(container.ContainerCreateCreatedBody) + r0 = ret.Get(0).(container.CreateResponse) } var r1 error @@ -372,12 +370,12 @@ type Docker_ContainerWait struct { *mock.Call } -func (_m Docker_ContainerWait) Return(_a0 <-chan container.ContainerWaitOKBody, _a1 <-chan error) *Docker_ContainerWait { +func (_m Docker_ContainerWait) Return(_a0 <-chan container.WaitResponse, _a1 <-chan error) *Docker_ContainerWait { return &Docker_ContainerWait{Call: _m.Call.Return(_a0, _a1)} } -func (_m *Docker) OnContainerWait(ctx context.Context, containerID string, condition container.WaitCondition) *Docker_ContainerWait { - c_call := _m.On("ContainerWait", ctx, containerID, condition) +func (_m *Docker) OnContainerWait(ctx context.Context, _a1 string, condition container.WaitCondition) *Docker_ContainerWait { + c_call := _m.On("ContainerWait", ctx, _a1, condition) return &Docker_ContainerWait{Call: c_call} } @@ -386,22 +384,22 @@ func (_m *Docker) OnContainerWaitMatch(matchers ...interface{}) *Docker_Containe return &Docker_ContainerWait{Call: c_call} } -// ContainerWait provides a mock function with given fields: ctx, containerID, condition -func (_m *Docker) ContainerWait(ctx context.Context, containerID string, condition container.WaitCondition) (<-chan container.ContainerWaitOKBody, <-chan error) { - ret := _m.Called(ctx, containerID, condition) +// ContainerWait provides a mock function with given fields: ctx, _a1, condition +func (_m *Docker) ContainerWait(ctx context.Context, _a1 string, condition container.WaitCondition) (<-chan container.WaitResponse, <-chan error) { + ret := _m.Called(ctx, _a1, condition) - var r0 <-chan container.ContainerWaitOKBody - if rf, ok := ret.Get(0).(func(context.Context, string, container.WaitCondition) <-chan container.ContainerWaitOKBody); ok { - r0 = rf(ctx, containerID, condition) + var r0 <-chan container.WaitResponse + if rf, ok := ret.Get(0).(func(context.Context, string, container.WaitCondition) <-chan container.WaitResponse); ok { + r0 = rf(ctx, _a1, condition) } else { if ret.Get(0) != nil { - r0 = ret.Get(0).(<-chan container.ContainerWaitOKBody) + r0 = ret.Get(0).(<-chan container.WaitResponse) } } var r1 <-chan error if rf, ok := ret.Get(1).(func(context.Context, string, container.WaitCondition) <-chan error); ok { - r1 = rf(ctx, containerID, condition) + r1 = rf(ctx, _a1, condition) } else { if ret.Get(1) != nil { r1 = ret.Get(1).(<-chan error) @@ -545,11 +543,11 @@ type Docker_VolumeCreate struct { *mock.Call } -func (_m Docker_VolumeCreate) Return(_a0 types.Volume, _a1 error) *Docker_VolumeCreate { +func (_m Docker_VolumeCreate) Return(_a0 volume.Volume, _a1 error) *Docker_VolumeCreate { return &Docker_VolumeCreate{Call: _m.Call.Return(_a0, _a1)} } -func (_m *Docker) OnVolumeCreate(ctx context.Context, options volume.VolumeCreateBody) *Docker_VolumeCreate { +func (_m *Docker) OnVolumeCreate(ctx context.Context, options volume.CreateOptions) *Docker_VolumeCreate { c_call := _m.On("VolumeCreate", ctx, options) return &Docker_VolumeCreate{Call: c_call} } @@ -560,18 +558,18 @@ func (_m *Docker) OnVolumeCreateMatch(matchers ...interface{}) *Docker_VolumeCre } // VolumeCreate provides a mock function with given fields: ctx, options -func (_m *Docker) VolumeCreate(ctx context.Context, options volume.VolumeCreateBody) (types.Volume, error) { +func (_m *Docker) VolumeCreate(ctx context.Context, options volume.CreateOptions) (volume.Volume, error) { ret := _m.Called(ctx, options) - var r0 types.Volume - if rf, ok := ret.Get(0).(func(context.Context, volume.VolumeCreateBody) types.Volume); ok { + var r0 volume.Volume + if rf, ok := ret.Get(0).(func(context.Context, volume.CreateOptions) volume.Volume); ok { r0 = rf(ctx, options) } else { - r0 = ret.Get(0).(types.Volume) + r0 = ret.Get(0).(volume.Volume) } var r1 error - if rf, ok := ret.Get(1).(func(context.Context, volume.VolumeCreateBody) error); ok { + if rf, ok := ret.Get(1).(func(context.Context, volume.CreateOptions) error); ok { r1 = rf(ctx, options) } else { r1 = ret.Error(1) @@ -584,12 +582,12 @@ type Docker_VolumeList struct { *mock.Call } -func (_m Docker_VolumeList) Return(_a0 volume.VolumeListOKBody, _a1 error) *Docker_VolumeList { +func (_m Docker_VolumeList) Return(_a0 volume.ListResponse, _a1 error) *Docker_VolumeList { return &Docker_VolumeList{Call: _m.Call.Return(_a0, _a1)} } -func (_m *Docker) OnVolumeList(ctx context.Context, filter filters.Args) *Docker_VolumeList { - c_call := _m.On("VolumeList", ctx, filter) +func (_m *Docker) OnVolumeList(ctx context.Context, options volume.ListOptions) *Docker_VolumeList { + c_call := _m.On("VolumeList", ctx, options) return &Docker_VolumeList{Call: c_call} } @@ -598,20 +596,20 @@ func (_m *Docker) OnVolumeListMatch(matchers ...interface{}) *Docker_VolumeList return &Docker_VolumeList{Call: c_call} } -// VolumeList provides a mock function with given fields: ctx, filter -func (_m *Docker) VolumeList(ctx context.Context, filter filters.Args) (volume.VolumeListOKBody, error) { - ret := _m.Called(ctx, filter) +// VolumeList provides a mock function with given fields: ctx, options +func (_m *Docker) VolumeList(ctx context.Context, options volume.ListOptions) (volume.ListResponse, error) { + ret := _m.Called(ctx, options) - var r0 volume.VolumeListOKBody - if rf, ok := ret.Get(0).(func(context.Context, filters.Args) volume.VolumeListOKBody); ok { - r0 = rf(ctx, filter) + var r0 volume.ListResponse + if rf, ok := ret.Get(0).(func(context.Context, volume.ListOptions) volume.ListResponse); ok { + r0 = rf(ctx, options) } else { - r0 = ret.Get(0).(volume.VolumeListOKBody) + r0 = ret.Get(0).(volume.ListResponse) } var r1 error - if rf, ok := ret.Get(1).(func(context.Context, filters.Args) error); ok { - r1 = rf(ctx, filter) + if rf, ok := ret.Get(1).(func(context.Context, volume.ListOptions) error); ok { + r1 = rf(ctx, options) } else { r1 = ret.Error(1) } diff --git a/flytectl/pkg/github/githubutil.go b/flytectl/pkg/github/githubutil.go index f6216245d0..e439df44f8 100644 --- a/flytectl/pkg/github/githubutil.go +++ b/flytectl/pkg/github/githubutil.go @@ -27,14 +27,13 @@ const ( flyte = "flyte" flytectl = "flytectl" sandboxSupportedVersion = "v0.10.0" - // TODO - change this to the monorepo name after we have a successful release - flytectlRepository = "github.com/flyteorg/flytectl" - commonMessage = "\n A new release of flytectl is available: %s → %s \n" - brewMessage = "To upgrade, run: brew update && brew upgrade flytectl \n" - linuxMessage = "To upgrade, run: flytectl upgrade \n" - darwinMessage = "To upgrade, run: flytectl upgrade \n" - releaseURL = "https://github.com/flyteorg/flyte/flytectl/releases/tag/%s \n" - brewInstallDirectory = "/Cellar/flytectl" + flytectlRepository = "github.com/flyteorg/flyte" + commonMessage = "\n A new release of flytectl is available: %s → %s \n" + brewMessage = "To upgrade, run: brew update && brew upgrade flytectl \n" + linuxMessage = "To upgrade, run: flytectl upgrade \n" + darwinMessage = "To upgrade, run: flytectl upgrade \n" + releaseURL = "https://github.com/flyteorg/flyte/releases/tag/%s \n" + brewInstallDirectory = "/Cellar/flytectl" ) var Client GHRepoService @@ -73,14 +72,20 @@ func GetLatestRelease(repoName string, g GHRepoService) (*github.RepositoryRelea } // ListReleases returns the list of release of provided repoName -func ListReleases(repoName string, g GHRepoService) ([]*github.RepositoryRelease, error) { +func ListReleases(repoName string, g GHRepoService, filterPrefix string) ([]*github.RepositoryRelease, error) { releases, _, err := g.ListReleases(context.Background(), owner, repoName, &github.ListOptions{ PerPage: 100, }) if err != nil { return nil, err } - return releases, err + var filteredReleases []*github.RepositoryRelease + for _, release := range releases { + if !strings.HasPrefix(release.GetTagName(), filterPrefix) { + filteredReleases = append(filteredReleases, release) + } + } + return filteredReleases, err } // GetReleaseByTag returns the provided tag release if tag exist in repository @@ -119,7 +124,8 @@ func GetAssetFromRelease(tag, assetName, repoName string, g GHRepoService) (*git func GetSandboxImageSha(tag string, pre bool, g GHRepoService) (string, string, error) { var release *github.RepositoryRelease if len(tag) == 0 { - releases, err := ListReleases(flyte, g) + // Only fetch Flyte releases + releases, err := ListReleases(flyte, g, "flytectl/") if err != nil { return "", release.GetTagName(), err } @@ -232,7 +238,7 @@ func GetGHRepoService() GHRepoService { gh = github.NewClient(oauth2.NewClient(context.Background(), oauth2.StaticTokenSource( &oauth2.Token{AccessToken: os.Getenv("GITHUB_TOKEN")}, ))) - if _, err := ListReleases(flyte, gh.Repositories); err != nil { + if _, err := ListReleases(flyte, gh.Repositories, ""); err != nil { logger.Warnf(context.Background(), "Found GITHUB_TOKEN but failed to fetch releases. Using empty http.Client: %s.", err) gh = nil } diff --git a/flytectl/pkg/github/githubutil_test.go b/flytectl/pkg/github/githubutil_test.go index 4f69aacfef..bd4001faa6 100644 --- a/flytectl/pkg/github/githubutil_test.go +++ b/flytectl/pkg/github/githubutil_test.go @@ -181,7 +181,7 @@ func TestGetUpgradeMessage(t *testing.T) { stdlibversion.Version = "v0.2.10" message, err := GetUpgradeMessage(version, darwin) assert.Nil(t, err) - assert.Equal(t, 163, len(message)) + assert.Equal(t, 154, len(message)) version = "v0.2.09" message, err = GetUpgradeMessage(version, darwin) @@ -196,10 +196,10 @@ func TestGetUpgradeMessage(t *testing.T) { version = "v0.2.20" message, err = GetUpgradeMessage(version, windows) assert.Nil(t, err) - assert.Equal(t, 163, len(message)) + assert.Equal(t, 154, len(message)) version = "v0.2.20" message, err = GetUpgradeMessage(version, linux) assert.Nil(t, err) - assert.Equal(t, 163, len(message)) + assert.Equal(t, 154, len(message)) } diff --git a/flytectl/pkg/sandbox/start_test.go b/flytectl/pkg/sandbox/start_test.go index b2415a0bf7..82c8613126 100644 --- a/flytectl/pkg/sandbox/start_test.go +++ b/flytectl/pkg/sandbox/start_test.go @@ -95,12 +95,12 @@ func sandboxSetup() { mockDocker = &mocks.Docker{} errCh := make(chan error) sandboxCmdConfig.DefaultConfig.Version = "v0.19.1" - bodyStatus := make(chan container.ContainerWaitOKBody) + bodyStatus := make(chan container.WaitResponse) githubMock = &ghMocks.GHRepoService{} sandboxCmdConfig.DefaultConfig.Image = "dummyimage" - mockDocker.OnVolumeList(ctx, filters.NewArgs(filters.KeyValuePair{Key: "name", Value: fmt.Sprintf("^%s$", docker.FlyteSandboxVolumeName)})).Return(volume.VolumeListOKBody{Volumes: []*types.Volume{}}, nil) - mockDocker.OnVolumeCreate(ctx, volume.VolumeCreateBody{Name: docker.FlyteSandboxVolumeName}).Return(types.Volume{Name: docker.FlyteSandboxVolumeName}, nil) - mockDocker.OnContainerCreateMatch(mock.Anything, mock.Anything, mock.Anything, mock.Anything, mock.Anything, mock.Anything).Return(container.ContainerCreateCreatedBody{ + mockDocker.OnVolumeList(ctx, volume.ListOptions{Filters: filters.NewArgs(filters.KeyValuePair{Key: "name", Value: fmt.Sprintf("^%s$", docker.FlyteSandboxVolumeName)})}).Return(volume.ListResponse{Volumes: []*volume.Volume{}}, nil) + mockDocker.OnVolumeCreate(ctx, volume.CreateOptions{Name: docker.FlyteSandboxVolumeName}).Return(volume.Volume{Name: docker.FlyteSandboxVolumeName}, nil) + mockDocker.OnContainerCreateMatch(mock.Anything, mock.Anything, mock.Anything, mock.Anything, mock.Anything, mock.Anything).Return(container.CreateResponse{ ID: "Hello", }, nil) @@ -139,8 +139,8 @@ func TestStartFunc(t *testing.T) { Timestamps: true, Follow: true, }).Return(nil, nil) - mockDocker.OnVolumeList(ctx, filters.NewArgs(filters.KeyValuePair{Key: mock.Anything, Value: mock.Anything})).Return(volume.VolumeListOKBody{Volumes: []*types.Volume{}}, nil) - mockDocker.OnVolumeCreate(ctx, volume.VolumeCreateBody{Name: mock.Anything}).Return(types.Volume{}, nil) + mockDocker.OnVolumeList(ctx, volume.ListOptions{Filters: filters.NewArgs(filters.KeyValuePair{Key: mock.Anything, Value: mock.Anything})}).Return(volume.ListResponse{Volumes: []*volume.Volume{}}, nil) + mockDocker.OnVolumeCreate(ctx, volume.CreateOptions{Name: mock.Anything}).Return(volume.Volume{}, nil) _, err := startSandbox(ctx, mockDocker, githubMock, dummyReader(), config, sandboxImageName, defaultImagePrefix, exposedPorts, portBindings, util.SandBoxConsolePort) assert.Nil(t, err) }) diff --git a/flyteidl/.gitignore b/flyteidl/.gitignore index 00b37709eb..f7a920620f 100644 --- a/flyteidl/.gitignore +++ b/flyteidl/.gitignore @@ -19,3 +19,4 @@ __pycache__/ venv/ build/ +target/ diff --git a/flyteidl/Cargo.toml b/flyteidl/Cargo.toml index ee15f0bffb..afb383bc27 100644 --- a/flyteidl/Cargo.toml +++ b/flyteidl/Cargo.toml @@ -2,6 +2,17 @@ name = "flyteidl" version = "0.1.0" edition = "2021" +license-file = "LICENSE" +homepage = "https://flyte.org" +repository = "https://github.com/flyteorg/flyte" +description = "Core Interface Definition for Flyte" +readme = "README.md" +keywords = ["ai", "ml", "orchestration"] +categories = ["science", "science::bioinformatics"] +include = [ + "**/*.rs", + "Cargo.toml", +] # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html diff --git a/script/release.sh b/script/release.sh index 9816fb6a7c..056ee1e253 100755 --- a/script/release.sh +++ b/script/release.sh @@ -2,7 +2,8 @@ set -ex -FLYTEKIT_TAG=$(curl --silent "https://api.github.com/repos/flyteorg/flytekit/releases/latest" | jq -r .tag_name | sed 's/^v//') +# NOTE: Flyte and flytekit should be released at the same time. If not, Flyte chart will use a flyteagent image that does not exist. +FLYTEKIT_TAG=$(echo "${VERSION}" | sed 's/^v//') FLYTECONSOLE_TAG=$(curl --silent "https://api.github.com/repos/flyteorg/flyteconsole/releases/latest" | jq -r .tag_name) # bump latest release of flyte component in helm