.gitlab-ci.yml extends Keyword does not Include Earlier Section - gitlab

I am trying to use the extends keyword in the .gitlab-ci.yml of a GitLab Python project. It's not working, and I can't figure out why not.
I am using GitLab's CI/CD framework to test my Python project. The project has unit tests written with pytest and the following Dockerfile.
# syntax=docker/dockerfile:1
FROM python:3.9
WORKDIR /install
COPY . .
RUN pip install --no-cache-dir --upgrade .
EXPOSE 8000
CMD ["uvicorn", "sample_api.api:app"]
When I have the following .gitlab-ci.yml, GitLab's CI/CD system starts the python:3.9.16-slim-buster image and successfully runs the test job.
include:
- template: Auto-DevOps.gitlab-ci.yml
test:
stage: test
image: python:3.9.16-slim-buster
before_script:
- pip install .
script:
- pytest tests/unit
services: []
However, the test job fails when I change it to use the extends keyword like so.
include:
- template: Auto-DevOps.gitlab-ci.yml
.tests:
stage: test
image: python:3.9.16-slim-buster
before_script:
- pip install .
services: []
test:
extends: .tests
script:
- pytest tests/unit
The log of the failed test job looks like this.
...
Preparing the "docker" executor
00:11
Using Docker executor with image gliderlabs/herokuish:latest ...
...
Executing "step_script" stage of the job script
00:03
Using docker image sha256:686c154e24a2373406bdf9c8f44904b5dbe5cd36060c61d3da137086389d18d3 for gliderlabs/herokuish:latest with digest gliderlabs/herokuish#sha256:5d5914135908a234c20eec80daaa6a386bfa74293310bc0c79148fe7a7e4a926 ...
$ pip install .
/bin/bash: line 154: pip: command not found
Cleaning up project directory and file based variables
00:02
ERROR: Job failed: exit code 1
It is failing because the default herokuish:latest image is being used instead of python:3.9.16-slim-buster. It appears that the .tests section is never used.
I assume there's something wrong with my syntax, but it seems so simple and I can't figure out what it is.

Related

Gitlab CI empty script

I'm trying to setup a simple CI/CD environment on gitlab. My code is a python app that needs an external service for testing. The service is a container that does not require any script to be run. My gitlab-ci.yml file is:
stages:
- dynamodb
- testing
build_dynamo:
stage: dynamodb
image: amazon/dynamodb-local:latest
unit_tests:
stage: testing
image: python:3.10.3
before_script:
- pip install -r requirements_tests.txt
- export PYTHONPATH="${PYTHONPATH}:./src"
script:
- python -m unittest discover -s ./tests -p '*test*.py'
For this config I get an error
Found errors in your .gitlab-ci.yml: jobs build_dynamo config should
implement a script: or a trigger: keyword
Hiow can I solve this or implement the setup I need?
Using service solved this
unit_tests:
image: python:3.10.3-slim-buster
services:
- name: amazon/dynamodb-local:latest
before_script:
- pip install -r requirements_tests.txt
- export PYTHONPATH="${PYTHONPATH}:./src"
script:
- python -m unittest discover -s ./tests -p '*test*.py'
endpoint for the service is amazon-dynamo-local:8000 since "/" are changed to "-".
Reference: https://docs.gitlab.com/ee/ci/services/#accessing-the-services

edit and execute pipeline *.yml template file from command line [duplicate]

If a GitLab project is configured on GitLab CI, is there a way to run the build locally?
I don't want to turn my laptop into a build "runner", I just want to take advantage of Docker and .gitlab-ci.yml to run tests locally (i.e. it's all pre-configured). Another advantage of that is that I'm sure that I'm using the same environment locally and on CI.
Here is an example of how to run Travis builds locally using Docker, I'm looking for something similar with GitLab.
Since a few months ago this is possible using gitlab-runner:
gitlab-runner exec docker my-job-name
Note that you need both docker and gitlab-runner installed on your computer to get this working.
You also need the image key defined in your .gitlab-ci.yml file. Otherwise won't work.
Here's the line I currently use for testing locally using gitlab-runner:
gitlab-runner exec docker test --docker-volumes "/home/elboletaire/.ssh/id_rsa:/root/.ssh/id_rsa:ro"
Note: You can avoid adding a --docker-volumes with your key setting it by default in /etc/gitlab-runner/config.toml. See the official documentation for more details. Also, use gitlab-runner exec docker --help to see all docker-based runner options (like variables, volumes, networks, etc.).
Due to the confusion in the comments, I paste here the gitlab-runner --help result, so you can see that gitlab-runner can make builds locally:
gitlab-runner --help
NAME:
gitlab-runner - a GitLab Runner
USAGE:
gitlab-runner [global options] command [command options] [arguments...]
VERSION:
1.1.0~beta.135.g24365ee (24365ee)
AUTHOR(S):
Kamil TrzciƄski <ayufan#ayufan.eu>
COMMANDS:
exec execute a build locally
[...]
GLOBAL OPTIONS:
--debug debug mode [$DEBUG]
[...]
As you can see, the exec command is to execute a build locally.
Even though there was an issue to deprecate the current gitlab-runner exec behavior, it ended up being reconsidered and a new version with greater features will replace the current exec functionality.
Note that this process is to use your own machine to run the tests using docker containers. This is not to define custom runners. To do so, just go to your repo's CI/CD settings and read the documentation there. If you wanna ensure your runner is executed instead of one from gitlab.com, add a custom and unique tag to your runner, ensure it only runs tagged jobs and tag all the jobs you want your runner to be responsible of.
I use this docker-based approach:
Edit: 2022-10
docker run --entrypoint bash --rm -w $PWD -v $PWD:$PWD -v /var/run/docker.sock:/var/run/docker.sock gitlab/gitlab-runner:latest -c 'git config --global --add safe.directory "*";gitlab-runner exec docker test'
For all git versions > 2.35.2. You must add safe.directory within the container to avoid fatal: detected dubious ownership in repository at.... This also true for patched git versions < 2.35.2. The old command will not work anymore.
Details
0. Create a git repo to test this answer
mkdir my-git-project
cd my-git-project
git init
git commit --allow-empty -m"Initialize repo to showcase gitlab-runner locally."
1. Go to your git directory
cd my-git-project
2. Create a .gitlab-ci.yml
Example .gitlab-ci.yml
image: alpine
test:
script:
- echo "Hello Gitlab-Runner"
3. Create a docker container with your project dir mounted
docker run -d \
--name gitlab-runner \
--restart always \
-v $PWD:$PWD \
-v /var/run/docker.sock:/var/run/docker.sock \
gitlab/gitlab-runner:latest
(-d) run container in background and print container ID
(--restart always) or not?
(-v $PWD:$PWD) Mount current directory into the current directory of the container - Note: On Windows you could bind your dir to a fixed location, e.g. -v ${PWD}:/opt/myapp. Also $PWD will only work at powershell not at cmd
(-v /var/run/docker.sock:/var/run/docker.sock) This gives the container access to the docker socket of the host so it can start "sibling containers" (e.g. Alpine).
(gitlab/gitlab-runner:latest) Just the latest available image from dockerhub.
4. Execute with
Avoid fatal: detected dubious ownership in repository at... More info
docker exec -it -w $PWD gitlab-runner git config --global --add safe.directory "*"
Actual execution
docker exec -it -w $PWD gitlab-runner gitlab-runner exec docker test
# ^ ^ ^ ^ ^ ^
# | | | | | |
# (a) (b) (c) (d) (e) (f)
(a) Working dir within the container. Note: On Windows you could use a fixed location, e.g. /opt/myapp.
(b) Name of the docker container
(c) Execute the command "gitlab-runner" within the docker container
(d)(e)(f) run gitlab-runner with "docker executer" and run a job named "test"
5. Prints
...
Executing "step_script" stage of the job script
$ echo "Hello Gitlab-Runner"
Hello Gitlab-Runner
Job succeeded
...
Note: The runner will only work on the commited state of your code base. Uncommited changes will be ignored. Exception: The .gitlab-ci.yml itself does not have be commited to be taken into account.
Note: There are some limitations running locally. Have a look at limitations of gitlab runner locally.
I'm currently working on making a gitlab runner that works locally.
Still in the early phases, but eventually it will become very relevant.
It doesn't seem like gitlab want/have time to make this, so here you go.
https://github.com/firecow/gitlab-runner-local
If you are running Gitlab using the docker image there: https://hub.docker.com/r/gitlab/gitlab-ce, it's possible to run pipelines by exposing the local docker.sock with a volume option: -v /var/run/docker.sock:/var/run/docker.sock. Adding this option to the Gitlab container will allow your workers to access to the docker instance on the host.
The GitLab runner appears to not work on Windows yet and there is an open issue to resolve this.
So, in the meantime I am moving my script code out to a bash script, which I can easily map to a docker container running locally and execute.
In this case I want to build a docker container in my job, so I create a script 'build':
#!/bin/bash
docker build --pull -t myimage:myversion .
in my .gitlab-ci.yaml I execute the script:
image: docker:latest
services:
- docker:dind
before_script:
- apk add bash
build:
stage: build
script:
- chmod 755 build
- build
To run the script locally using powershell I can start the required image and map the volume with the source files:
$containerId = docker run --privileged -d -v ${PWD}:/src docker:dind
install bash if not present:
docker exec $containerId apk add bash
Set permissions on the bash script:
docker exec -it $containerId chmod 755 /src/build
Execute the script:
docker exec -it --workdir /src $containerId bash -c 'build'
Then stop the container:
docker stop $containerId
And finally clean up the container:
docker container rm $containerId
Another approach is to have a local build tool that is installed on your pc and your server at the same time.
So basically, your .gitlab-ci.yml will basically call your preferred build tool.
Here an example .gitlab-ci.yml that i use with nuke.build:
stages:
- build
- test
- pack
variables:
TERM: "xterm" # Use Unix ASCII color codes on Nuke
before_script:
- CHCP 65001 # Set correct code page to avoid charset issues
.job_template: &job_definition
except:
- tags
build:
<<: *job_definition
stage: build
script:
- "./build.ps1"
test:
<<: *job_definition
stage: test
script:
- "./build.ps1 test"
variables:
GIT_CHECKOUT: "false"
pack:
<<: *job_definition
stage: pack
script:
- "./build.ps1 pack"
variables:
GIT_CHECKOUT: "false"
only:
- master
artifacts:
paths:
- output/
And in nuke.build i've defined 3 targets named like the 3 stages (build, test, pack)
In this way you have a reproducible setup (all other things are configured with your build tool) and you can test directly the different targets of your build tool.
(i can call .\build.ps1 , .\build.ps1 test and .\build.ps1 pack when i want)
I am on Windows using VSCode with WSL
I didn't want to register my work PC as a runner so instead I'm running my yaml stages locally to test them out before I upload them
$ sudo apt-get install gitlab-runner
$ gitlab-runner exec shell build
yaml
image: node:10.19.0 # https://hub.docker.com/_/node/
# image: node:latest
cache:
# untracked: true
key: project-name
# key: ${CI_COMMIT_REF_SLUG} # per branch
# key:
# files:
# - package-lock.json # only update cache when this file changes (not working) #jkr
paths:
- .npm/
- node_modules
- build
stages:
- prepare # prepares builds, makes build needed for testing
- test # uses test:build specifically #jkr
- build
- deploy
# before_install:
before_script:
- npm ci --cache .npm --prefer-offline
prepare:
stage: prepare
needs: []
script:
- npm install
test:
stage: test
needs: [prepare]
except:
- schedules
tags:
- linux
script:
- npm run build:dev
- npm run test:cicd-deps
- npm run test:cicd # runs puppeteer tests #jkr
artifacts:
reports:
junit: junit.xml
paths:
- coverage/
build-staging:
stage: build
needs: [prepare]
only:
- schedules
before_script:
- apt-get update && apt-get install -y zip
script:
- npm run build:stage
- zip -r build.zip build
# cache:
# paths:
# - build
# <<: *global_cache
# policy: push
artifacts:
paths:
- build.zip
deploy-dev:
stage: deploy
needs: [build-staging]
tags: [linux]
only:
- schedules
# # - branches#gitlab-org/gitlab
before_script:
- apt-get update && apt-get install -y lftp
script:
# temporarily using 'verify-certificate no'
# for more on verify-certificate #jkr: https://www.versatilewebsolutions.com/blog/2014/04/lftp-ftps-and-certificate-verification.html
# variables do not work with 'single quotes' unless they are "'surrounded by doubles'"
- lftp -e "set ssl:verify-certificate no; open mediajackagency.com; user $LFTP_USERNAME $LFTP_PASSWORD; mirror --reverse --verbose build/ /var/www/domains/dev/clients/client/project/build/; bye"
# environment:
# name: staging
# url: http://dev.mediajackagency.com/clients/client/build
# # url: https://stg2.client.co
when: manual
allow_failure: true
build-production:
stage: build
needs: [prepare]
only:
- schedules
before_script:
- apt-get update && apt-get install -y zip
script:
- npm run build
- zip -r build.zip build
# cache:
# paths:
# - build
# <<: *global_cache
# policy: push
artifacts:
paths:
- build.zip
deploy-client:
stage: deploy
needs: [build-production]
tags: [linux]
only:
- schedules
# - master
before_script:
- apt-get update && apt-get install -y lftp
script:
- sh deploy-prod
environment:
name: production
url: http://www.client.co
when: manual
allow_failure: true
The idea is to keep check commands outside of .gitlab-ci.yml. I use Makefile to run something like make check and my .gitlab-ci.yml runs the same make commands that I use locally to check various things before committing.
This way you'll have one place with all/most of your commands (Makefile) and .gitlab-ci.yml will have only CI-related stuff.
I have written a tool to run all GitLab-CI job locally without have to commit or push, simply with the command ci-toolbox my_job_name.
The URL of the project : https://gitlab.com/mbedsys/citbx4gitlab
Years ago I build this simple solution with Makefile and docker-compose to run the gitlab runner in docker, you can use it to execute jobs locally as well and should work on all systems where docker works:
https://gitlab.com/1oglop1/gitlab-runner-docker
There are few things to change in the docker-compose.override.yaml
version: "3"
services:
runner:
working_dir: <your project dir>
environment:
- REGISTRATION_TOKEN=<token if you want to register>
volumes:
- "<your project dir>:<your project dir>"
Then inside your project you can execute it the same way as mentioned in other answers:
docker exec -it -w $PWD runner gitlab-runner exec <commands>..
I recommend using gitlab-ci-local
https://github.com/firecow/gitlab-ci-local
It's able to run specific jobs as well.
It's a very cool project and I have used it to run simple pipelines on my laptop.

Gitlab issue while running helm command as - Error: unknown command "sh" for "helm"

I have a packge script which needs to run on alpina:helm image . I have used this before but for some reason this is always giving me error as - Error: unknown command "sh" for "helm"
package:
<<: *artifacts
stage: package
image: alpine/helm
variables:
GIT_STRATEGY: none
script:
- echo $VERSION
- helm package ./keycloak --app-version=$VERSION
artifacts:
paths:
- "*.tgz"
Can anybody tell me what is the issue here I am not very sure . Helm command should be running as per my assumption but not sure why isnt it .
As explained in the docs, the runner in gitlab is started this way
the runner starts the docker container specified in image and uses the entrypoint of this container
the runner attaches itself to the container
the runner combines before_script, script and after_script into a single script
the runner sends the combined script to the container's shell
If you take a look at the entrypoint of the alpine/helm image, you see that the entrypoint is helm and when the container starts it runs helm. The gitlab runner expects no entrypoint or that the entrypoint is set to start a shell so you get the Error: unknown command "sh" for "helm" as there is no running shell.
With overriding the entrypoint we make sure the runner finds a shell in the container which can execute the script.
package:
stage: package
image:
name: alpine/helm
entrypoint: [""]
variables:
GIT_STRATEGY: none
script:
- echo $VERSION
- helm package ./keycloak --app-version=$VERSION
artifacts:
paths:
- "*.tgz"
EDIT:
By reading the docs again I changed the entrypoint to an empty entrypoint for docker 17.06 and later (entrypoint: [""]) as this is more concise.

Gitlab CI: How to run tests in pipeline using docker and shell runner

I need to run tests in my gitlab CI pipeline. This is how my YAML document looks like:
before_script:
- docker info
build:
script:
- docker build -t $CI_REGISTRY_IMAGE:$VERSION .
- docker push $CI_REGISTRY_IMAGE:$VERSION
I'm using a shell runner. And now I want to check for correct eslint, which would look like:
eslint .
In a second step I want to do some unit testing using mocha
meteor test --driver-package practicalmeteor:mocha
How can I do this in the pipeline using the already build container/image? How should I implement this into the YAML file?
If I understand correctly, you want to run eslint in your newly built container. You could do it by adding the following to your .gitlab-ci.yml
lint:
script:
# This step is probably optional
- docker pull $CI_REGISTRY_IMAGE:$VERSION
# This will run eslint inside the container
- docker run -it $CI_REGISTRY_IMAGE:$VERSION eslint .
If there are any linting errors, the exit code should be non-zero which will make the job fail (which is probably what you want).

Is it possible to use multiple docker images in bitbucket pipeline?

I have this pipeline file to unittest my project:
image: jameslin/python-test
pipelines:
default:
- step:
script:
- service mysql start
- pip install -r requirements/test.txt
- export DJANGO_CONFIGURATION=Test
- python manage.py test
but is it possible to switch to another docker image to deploy?
image: jameslin/python-deploy
pipelines:
default:
- step:
script:
- ansible-playbook deploy
I cannot seem to find any documentation saying either Yes or No.
You can specify an image for each step. Like that:
pipelines:
default:
- step:
name: Build and test
image: node:8.6
script:
- npm install
- npm test
- npm run build
artifacts:
- dist/**
- step:
name: Deploy
image: python:3.5.1
trigger: manual
script:
- python deploy.py
Finally found it:
https://confluence.atlassian.com/bitbucket/configure-bitbucket-pipelines-yml-792298910.html#Configurebitbucket-pipelines.yml-ci_stepstep(required)
step (required) Defines a build execution unit. Steps are executed in
the order in which they appear in the pipeline. Currently, each
pipeline can have only one step (one for the default pipeline and one
for each branch). You can override the main Docker image by specifying
an image in a step.
I have not found any information saying yes or no either so what I have assumed is that since this image can be configured with all the languages and technology you need I would suggest this method:
Create your docker image with all utilities you need for both default and deployment.
Use the branching method they show in their examples https://confluence.atlassian.com/bitbucket/configure-bitbucket-pipelines-yml-792298910.html#Configurebitbucket-pipelines.yml-ci_branchesbranches(optional)
Use shell scripts or other scripts to run specific tasks you need and
image: yourusername/your-image
pipelines:
branches:
master:
- step:
script: # Modify the commands below to build your repository.
- echo "Starting pipelines for master"
- chmod +x your-task-configs.sh #necessary to get shell script to run in BB Pipelines
- ./your-task-configs.sh
feature/*:
- step:
script: # Modify the commands below to build your repository.
- echo "Starting pipelines for feature/*"
- npm install
- npm install -g grunt-cli
- npm install grunt --save-dev
- grunt build

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