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langflow-ai / langflow

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
http://www.langflow.org
MIT License
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[Issue] Can not get pods working - Back-off restarting failed #2831

Open danividalg opened 1 month ago

danividalg commented 1 month ago

Bug Description

Hi,

I have followed the steps to deploy/install langflow-ide:

helm repo add langflow https://langflow-ai.github.io/langflow-helm-charts helm repo update helm install langflow-ide langflow/langflow-ide -n langflow --create-namespace kubectl get pods -n langflow But I get this: kubectl get pods -n langflow NAME READY STATUS RESTARTS AGE langflow-0 0/1 CrashLoopBackOff 4 (10s ago) 103s langflow-frontend-5bf4fdddd4-jjf2z 0/1 CrashLoopBackOff 4 (11s ago) 103s

Using OpenLens I can see this error "Back-off restarting failed" (see attached image) Error

Please, Can anyone help me ? Thanks :)

Reproduction

helm repo add langflow https://langflow-ai.github.io/langflow-helm-charts helm repo update helm install langflow-ide langflow/langflow-ide -n langflow --create-namespace kubectl get pods -n langflow

Get this: kubectl get pods -n langflow NAME READY STATUS RESTARTS AGE langflow-0 0/1 CrashLoopBackOff 4 (10s ago) 103s langflow-frontend-5bf4fdddd4-jjf2z 0/1 CrashLoopBackOff 4 (11s ago) 103s

Expected behavior

NAME READY STATUS RESTARTS AGE langflow-0 1/1 Running 0 33s langflow-frontend-5d9c558dbb-g7tc9 1/1 Running 0 38s

Who can help?

@italojohnny @ogabrielluiz

Operating System

Ubuntu 22.4

Langflow Version

Lastest 1.0.11

Python Version

dosubot[bot] commented 1 month ago

Olá @danividalg! Como posso ajudar você hoje? Sou um bot aqui para ajudar a resolver bugs, responder perguntas e torná-lo um contribuidor.

To resolve the "CrashLoopBackOff" error for the langflow-ide pods, you can try the following steps:

  1. Check Pod Logs: Inspect the logs of the crashing pod to get more details about the error.

    kubectl logs <pod-name> -n langflow

  2. Check Pod Events: Look at the events associated with the pod to understand why it is crashing.

    kubectl describe pod <pod-name> -n langflow

  3. Verify Configuration: Ensure that the configuration in the values.yaml file is correct, especially if you have customized it. Pay particular attention to database configurations and image tags.

  4. Resource Limits: Ensure that the resource requests and limits are set appropriately in the values.yaml file.

    langflow:
 backend:
   resources:
     requests:
       memory: "2Gi"
       cpu: "1000m"
 frontend:
   resources:
     requests:
       memory: "1Gi"
       cpu: "1000m"

  5. Database Configuration: If you are using an external PostgreSQL database, ensure that the database is accessible and the credentials are correct.

    langflow:
 backend:
   externalDatabase:
     enabled: true
     driver:
       value: "postgresql"
     host:
       value: "langflow-ide-postgresql-service"
     port:
       value: "5432"
     database:
       value: "langflow-db"
     user:
       value: "langflow"
     password:
       valueFrom:
         secretKeyRef:
           key: "password"
           name: "langflow-ide-postgresql-service"
   sqlite:
     enabled: false

  6. Image Tags: Ensure that the image tags for the backend and frontend are correct and the images are available.

    langflow:
 backend:
   image:
     tag: "1.0.0a59"
 frontend:
   image:
     tag: "1.0.0a59"

By following these steps, you should be able to identify and resolve the cause of the "CrashLoopBackOff" error [1].

To continue talking to Dosu, mention @dosu.

danividalg commented 1 month ago

Hi, thanks for reply @dosu

When I run "kubectl logs langflow-0 -n langflow" I get error "exec /bin/bash: exec format error" When I run "kubectl logs langflow-frontend-5bf4fdddd4-km6sw -n langflow" I get error "exec /bin/bash: exec format error" When I run "kubectl describe pod langflow-0 -n langflow" I get this: "Name: langflow-0 Namespace: langflow Priority: 0 Service Account: langflow Node: kind-worker2/172.18.0.2 Start Time: Fri, 19 Jul 2024 20:35:54 +0200 Labels: app=langflow apps.kubernetes.io/pod-index=0 chart=langflow-ide-0.0.1 controller-revision-hash=langflow-54f89678d5 langflow-scope=backend release=langflow-ide statefulset.kubernetes.io/pod-name=langflow-0 Annotations: Status: Running IP: 10.244.1.23 IPs: IP: 10.244.1.23 Controlled By: StatefulSet/langflow Containers: langflow-ide: Container ID: containerd://1f7900b6e846ff1a25eb7c1968dfaec14b3ffce2fb590fe62309bd057dcfb0cb Image: langflowai/langflow-backend:1.0-alpha Image ID: docker.io/langflowai/langflow-backend@sha256:e0e610004ede6a5893b04d32c2c0ed978beb13a8b548bc1bf1c586fa55d541ec Port: 7860/TCP Host Port: 0/TCP Command: /bin/bash -c Args: set -e && if [ -n "$LF_CHART_EXTERNALDB_DRIVER" ]; then echo "LF_CHART_EXTERNALDB_DRIVER is set, using external database at $LF_CHART_EXTERNALDB_HOST" && export LANGFLOW_DATABASE_URL="$LF_CHART_EXTERNALDB_DRIVER://$LF_CHART_EXTERNALDB_USER:$LF_CHART_EXTERNALDB_PASSWORD@$LF_CHART_EXTERNALDB_HOST:$LF_CHART_EXTERNALDB_PORT/$LF_CHART_EXTERNALDB_DATABASE" else echo "LF_CHART_EXTERNALDB_DRIVER is not set, using SQLLite database" fi && langflow run --host 0.0.0.0 --port 7860

State:          Waiting
  Reason:       CrashLoopBackOff
Last State:     Terminated
  Reason:       Error
  Exit Code:    1
  Started:      Fri, 19 Jul 2024 20:37:33 +0200
  Finished:     Fri, 19 Jul 2024 20:37:33 +0200
Ready:          False
Restart Count:  4
Requests:
  cpu:      500m
  memory:   1Gi
Liveness:   http-get http://:http/health delay=5s timeout=5s period=10s #success=1 #failure=3
Readiness:  http-get http://:http/health delay=5s timeout=5s period=10s #success=1 #failure=3
Environment:
  LANGFLOW_BACKEND_ONLY:  true
  LANGFLOW_NUM_WORKERS:   1
  LANGFLOW_DATABASE_URL:  sqlite:////data/langflow.db
Mounts:
  /data from data (rw)
  /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-2wf7d (ro)

Conditions: Type Status PodReadyToStartContainers True Initialized True Ready False ContainersReady False PodScheduled True Volumes: data: Type: PersistentVolumeClaim (a reference to a PersistentVolumeClaim in the same namespace) ClaimName: data-langflow-0 ReadOnly: false kube-api-access-2wf7d: Type: Projected (a volume that contains injected data from multiple sources) TokenExpirationSeconds: 3607 ConfigMapName: kube-root-ca.crt ConfigMapOptional: DownwardAPI: true QoS Class: Burstable Node-Selectors: Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s node.kubernetes.io/unreachable:NoExecute op=Exists for 300s Events: Type Reason Age From Message

Normal Scheduled 105s default-scheduler Successfully assigned langflow/langflow-0 to kind-worker2 Warning BackOff 20s (x10 over 102s) kubelet Back-off restarting failed container langflow-ide in pod langflow-0_langflow(3b10f50e-86a9-4c87-943e-edd159d0c5b5) Normal Pulled 7s (x5 over 104s) kubelet Container image "langflowai/langflow-backend:1.0-alpha" already present on machine Normal Created 6s (x5 over 104s) kubelet Created container langflow-ide Normal Started 6s (x5 over 104s) kubelet Started container langflow-ide"

About the values.yaml I used help with the repository as specified in the instructions, as is, without modifications, just this https://github.com/langflow-ai/langflow-helm-charts/blob/main/charts/langflow-ide/values.yaml

Could you help me please ?

Thanks :)

dosubot[bot] commented 1 month ago

The error "exec /bin/bash: exec format error" typically indicates that the container image is not compatible with the architecture of the node it's running on. This can happen if, for example, the image is built for an x86 architecture but is being run on an ARM-based node.

Here are some steps to troubleshoot and resolve this issue:

  1. Verify Node Architecture: Check the architecture of the nodes in your Kubernetes cluster.

    kubectl get nodes -o wide

  2. Check Image Compatibility: Ensure that the langflowai/langflow-backend:1.0-alpha image is compatible with the architecture of your nodes. If you are using ARM-based nodes, you may need to use a different image or build one that is compatible.

  3. Update Image: If the image is not compatible, you may need to use a different image or build one that is compatible with your node's architecture. You can specify the image in the values.yaml file:

    langflow:
 backend:
   image:
     repository: langflowai/langflow-backend
     tag: 1.0-alpha
 frontend:
   image:
     repository: langflowai/langflow-frontend
     tag: 1.0-alpha

  4. Use Multi-Arch Images: If available, use multi-architecture images that support both x86 and ARM architectures. Check if the langflowai/langflow-backend image has multi-arch support.

  5. Rebuild Image: If you have control over the image, you can rebuild it for the appropriate architecture. For example, to build an image for ARM, you can use Docker with the --platform flag:

    docker build --platform linux/arm64 -t langflowai/langflow-backend:1.0-alpha .

  6. Check Helm Chart Values: Ensure that the values.yaml file is correctly configured. If you are using an external database, verify the database connection settings.

By following these steps, you should be able to resolve the "exec format error" and get the langflow-ide pods running correctly [1].

To continue talking to Dosu, mention @dosu.

danividalg commented 1 month ago

Ok, this is the problem, my nodes are ARM64 and not x86/amd64

I looked at https://hub.docker.com/r/langflowai/langflow and all the tags are only build for linux/amd64 and not for ARM64 @italojohnny / @ogabrielluiz, Do you think is possible for you to build the latest and 1.0-alpha tags from now also for platform linux/arm64 ?

Thanks a lot :)

rennokki commented 1 month ago

I have seen this too. It seems like post 1.0.0-alpha's got the ARM support removed.

jordanrfrazier commented 4 weeks ago

Hey all. You are (of course) correct that the docker image is not built for arm64 at the moment. It was drastically raising our build time by up to an hour, so we temporarily removed it from our release process. We'll discuss adding it back as a separate job soon.

Though this may not be particular helpful for you, just adding as a note: for silicon macs (m1 / m2), the translation happens automatically with rosetta2, allowing amd64 images to run successfully.