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n8n | open fair-code licensed node based Workflow Automation Tool | BPM library

 by   n8n-io TypeScript Version: Current License: Non-SPDX

 by   n8n-io TypeScript Version: Current License: Non-SPDX

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kandi X-RAY | n8n Summary

n8n is a TypeScript library typically used in Automation, BPM, Nodejs, Docker applications. n8n has no bugs, it has no vulnerabilities and it has medium support. However n8n has a Non-SPDX License. You can download it from GitHub.
n8n is an extendable workflow automation tool. With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic and apps. n8n's node-based approach makes it highly versatile, enabling you to connect anything to everything.
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  • n8n has a medium active ecosystem.
  • It has 22046 star(s) with 2478 fork(s). There are 254 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 71 open issues and 540 have been closed. On average issues are closed in 38 days. There are 163 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of n8n is current.
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quality kandi Quality

  • n8n has 0 bugs and 0 code smells.
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securitySecurity

  • n8n has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • n8n code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
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n8n Security
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license License

  • n8n has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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n8n License
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buildReuse

  • n8n releases are not available. You will need to build from source code and install.
  • Installation instructions are available. Examples and code snippets are not available.
  • It has 13972 lines of code, 0 functions and 2445 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
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n8n Key Features

Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Need help for GKE ingress with terraform for n8n deployment

copy iconCopydownload iconDownload
apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
  name: my-backendconfig
spec:
  sessionAffinity:
    affinityType: "CLIENT_IP"


apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
  name: my-backendconfig
spec:
  sessionAffinity:
    affinityType: "GENERATED_COOKIE"
    affinityCookieTtlSec: 50

Deploying n8n to Heroku

copy iconCopydownload iconDownload
build:
    docker:
        web: Dockerfile
FROM node:12.16-alpine

# pass N8N_VERSION Argument while building or use default
ARG N8N_VERSION=0.62.1

# Update everything and install needed dependencies
RUN apk add --update graphicsmagick tzdata

# Set a custom user to not have n8n run as root
USER root

# Install n8n and the also temporary all the packages
# it needs to build it correctly.
RUN apk --update add --virtual build-dependencies python build-base && \
    npm_config_user=root npm install -g n8n@${N8N_VERSION} && \
    apk del build-dependencies

# Specifying work directory
WORKDIR /data

# copy start script to container
COPY ./start.sh /

# make the script executable
RUN chmod +x /start.sh

# define execution entrypoint
ENTRYPOINT ["/start.sh"]
#!/bin/sh

# check if port variable is set or go with default
if [ -z ${PORT+x} ]; then echo "PORT variable not defined, leaving N8N to default port."; else export N8N_PORT=$PORT; echo "N8N will start on '$PORT'"; fi

# kickstart nodemation
n8n
-----------------------
build:
    docker:
        web: Dockerfile
FROM node:12.16-alpine

# pass N8N_VERSION Argument while building or use default
ARG N8N_VERSION=0.62.1

# Update everything and install needed dependencies
RUN apk add --update graphicsmagick tzdata

# Set a custom user to not have n8n run as root
USER root

# Install n8n and the also temporary all the packages
# it needs to build it correctly.
RUN apk --update add --virtual build-dependencies python build-base && \
    npm_config_user=root npm install -g n8n@${N8N_VERSION} && \
    apk del build-dependencies

# Specifying work directory
WORKDIR /data

# copy start script to container
COPY ./start.sh /

# make the script executable
RUN chmod +x /start.sh

# define execution entrypoint
ENTRYPOINT ["/start.sh"]
#!/bin/sh

# check if port variable is set or go with default
if [ -z ${PORT+x} ]; then echo "PORT variable not defined, leaving N8N to default port."; else export N8N_PORT=$PORT; echo "N8N will start on '$PORT'"; fi

# kickstart nodemation
n8n
-----------------------
build:
    docker:
        web: Dockerfile
FROM node:12.16-alpine

# pass N8N_VERSION Argument while building or use default
ARG N8N_VERSION=0.62.1

# Update everything and install needed dependencies
RUN apk add --update graphicsmagick tzdata

# Set a custom user to not have n8n run as root
USER root

# Install n8n and the also temporary all the packages
# it needs to build it correctly.
RUN apk --update add --virtual build-dependencies python build-base && \
    npm_config_user=root npm install -g n8n@${N8N_VERSION} && \
    apk del build-dependencies

# Specifying work directory
WORKDIR /data

# copy start script to container
COPY ./start.sh /

# make the script executable
RUN chmod +x /start.sh

# define execution entrypoint
ENTRYPOINT ["/start.sh"]
#!/bin/sh

# check if port variable is set or go with default
if [ -z ${PORT+x} ]; then echo "PORT variable not defined, leaving N8N to default port."; else export N8N_PORT=$PORT; echo "N8N will start on '$PORT'"; fi

# kickstart nodemation
n8n

How to calculate disease prevalence by a variable in R

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# Generate data.
set.seed(0934)
Data.All.df.2008 <- data.frame(FSA = sample(c("N8N", "N8R", "B3L", "P1H"), 50, T),
                               Lyme = sample(0:1, 50, T),
                               stringsAsFactors = F)

# First 10 observations.
head(Data.All.df.2008)

#   FSA Lyme
# 1 N8N    1
# 2 P1H    1
# 3 N8N    0
# 4 P1H    0
# 5 N8N    1
# 6 N8N    1
library(dplyr)

Data.All.df.2008 %>% 
    group_by(FSA) %>% 
    summarise(Prevalence = sum(Lyme)/n())

# # A tibble: 4 x 2
#   FSA   Prevalence
#   <chr>      <dbl>
# 1 B3L        0.778
# 2 N8N        0.571
# 3 N8R        0.583
# 4 P1H        0.467
-----------------------
# Generate data.
set.seed(0934)
Data.All.df.2008 <- data.frame(FSA = sample(c("N8N", "N8R", "B3L", "P1H"), 50, T),
                               Lyme = sample(0:1, 50, T),
                               stringsAsFactors = F)

# First 10 observations.
head(Data.All.df.2008)

#   FSA Lyme
# 1 N8N    1
# 2 P1H    1
# 3 N8N    0
# 4 P1H    0
# 5 N8N    1
# 6 N8N    1
library(dplyr)

Data.All.df.2008 %>% 
    group_by(FSA) %>% 
    summarise(Prevalence = sum(Lyme)/n())

# # A tibble: 4 x 2
#   FSA   Prevalence
#   <chr>      <dbl>
# 1 B3L        0.778
# 2 N8N        0.571
# 3 N8R        0.583
# 4 P1H        0.467

Community Discussions

Trending Discussions on n8n
  • Need help for GKE ingress with terraform for n8n deployment
  • TLS challenge with docker-compose: acme: error presenting token: timeout
  • Deploying n8n to Heroku
  • How to calculate disease prevalence by a variable in R
Trending Discussions on n8n

QUESTION

Need help for GKE ingress with terraform for n8n deployment

Asked 2021-Aug-15 at 09:49

I try to deploy n8n with its helm chart (https://github.com/8gears/n8n-helm-chart) to a GKE cluster. The problem I now face is when I set up the ingress to point to the application it loses the session constantly. I already found out that it has to be related to the ingress because when I access the pod directly everything works fine.

I try now to set up session affinity on the ingress, but I can't find any resource on how I can do this with terraform. My second option would be to set up an Nginx ingress but I have no experience how to do this. I hope someone can help me to find this out or point me to a better solution for the ingress. Thanks!

This is my terraform config for n8n:


resource "google_compute_managed_ssl_certificate" "n8n_ssl" {
  name = "${var.release_name}-ssl"
  managed {
    domains = ["n8n.${var.host}"]
  }
}
resource "helm_release" "n8n" {
  count           = 1
  depends_on      = [kubernetes_namespace.n8n, google_sql_database.n8n, google_sql_user.n8n, google_compute_managed_ssl_certificate.n8n_ssl]
  repository      = "https://8gears.container-registry.com/chartrepo/library"
  chart           = "n8n"
  version         = var.helm_version
  name            = var.release_name
  namespace       = var.namespace
  recreate_pods   = true
  values = [
    "${file("n8n_values.yaml")}"
  ]
  set_sensitive {
    name  = "n8n.encryption_key"
    value = var.n8n_encryption_key
  }
  set {
    name  = "config.database.postgresdb.host"
    value = data.terraform_remote_state.cluster.outputs.database_connection
  }
  set {
    name  = "config.database.postgresdb.user"
    value = var.db_username
  }
  set_sensitive {
    name  = "secret.database.postgresdb.password"
    value = var.db_password
  }
  set {
    name  = "config.security.basicAuth.user"
    value = var.username
  }
  set_sensitive {
    name  = "config.security.basicAuth.password"
    value = var.password
  }
}

resource "kubernetes_ingress" "n8n_ingress" {
  wait_for_load_balancer = true
  depends_on = [google_compute_managed_ssl_certificate.n8n_ssl]
  metadata {
    name = "${var.release_name}-ingress"
    namespace = helm_release.n8n[0].namespace
    annotations = {
      "ingress.kubernetes.io/compress-enable"         = "false",
      "ingress.gcp.kubernetes.io/pre-shared-cert"     = google_compute_managed_ssl_certificate.n8n_ssl.name
    }
  }
  spec {
    backend {
      service_name = helm_release.n8n[0].name
      service_port = 80
    }
  }
}

and my n8n_values.yml:

config:
  port: 5678
  generic:
    timezone: Europe/London
  database:
    type: postgresdb
  security:
    basicAuth:
      active: true

secret:
  database:
    postgresdb:
      password: ""

extraEnv:
  VUE_APP_URL_BASE_API: https://n8n.***/
  WEBHOOK_TUNNEL_URL: https://n8n.***/

image:
  repository: n8nio/n8n
  pullPolicy: IfNotPresent
  tag: latest

service:
  type: ClusterIP
  port: 80

ANSWER

Answered 2021-Aug-15 at 09:49

To enable session affinity with GKE Ingress, you will need to create a BackendConfig resource. GKE Ingress supports client IP or cookie-based affinity.

apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
  name: my-backendconfig
spec:
  sessionAffinity:
    affinityType: "CLIENT_IP"


apiVersion: cloud.google.com/v1
kind: BackendConfig
metadata:
  name: my-backendconfig
spec:
  sessionAffinity:
    affinityType: "GENERATED_COOKIE"
    affinityCookieTtlSec: 50

When using terraform, I think you'd need to use the kubernetes_manifest resource to deploy the BackendConfig resource.

You would then need to add the BackendConfig as an annotation on the Service resource. Looking at the service.yaml provided by the helm chart, it does not appear you can add annotations via values.yaml so you'd need to modify it to support adding annotations.

Source https://stackoverflow.com/questions/68781774

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install n8n

Have you found a bug :bug: ? Or maybe you have a nice feature :sparkles: to contribute ? The CONTRIBUTING guide will help you get your development environment ready in minutes.

Support

The official n8n documentation can be found under: https://docs.n8n.io. Additional information and example workflows on the n8n.io website: https://n8n.io.

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