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https://github.com/ycliuhw/userdata-generator
troposphere user data generator for human
https://github.com/ycliuhw/userdata-generator
cloudformation python3 troposphere userdata
Last synced: 4 days ago
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troposphere user data generator for human
- Host: GitHub
- URL: https://github.com/ycliuhw/userdata-generator
- Owner: ycliuhw
- License: apache-2.0
- Created: 2018-02-21T06:12:11.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-02-24T04:51:14.000Z (almost 7 years ago)
- Last Synced: 2024-11-18T09:38:32.207Z (about 1 month ago)
- Topics: cloudformation, python3, troposphere, userdata
- Language: Python
- Homepage: https://pypi.python.org/pypi/userdata-cool
- Size: 48.8 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# userdata-generator
 [](https://codecov.io/gh/ycliuhw/userdata-generator)
[](https://opensource.org/licenses/mit-license.php)
[](https://github.com/ellerbrock/open-source-badges/)
[](https://pypi.python.org/pypi/userdata-cool)
troposphere user data generator for `human`
---
## Installation
---
### from pypi
---
```bash
pip install userdata-cool
```
### from source
---
```bash
git clone https://github.com/ycliuhw/userdata-generator.git
cd userdata-generator
virtualenv -p $(which python3.6) venv
source venv/bin/activate
python setup.py install
```
## current support elements
* Ref(Resource)
* GetAtt(Resource, AttributeName)
## simply write user data like this ->
```bash
#!/bin/bash
sudo apt update && apt install -y python-setuptools python-pip jq awscli
sudo pip install https://s3.amazonaws.com/cloudformation-examples/aws-cfn-bootstrap-latest.tar.gz
curl -s https://packagecloud.io/install/repositories/EventStore/EventStore-OSS/script.deb.sh | sudo bash
sudo apt update && apt install -y eventstore-oss=4.0.3
export AWS_DEFAULT_REGION=`/usr/bin/curl -sf http://169.254.169.254/latest/dynamic/instance-identity/document | jq -r .region`
InstanceID=`/usr/bin/curl -sf http://169.254.169.254/latest/meta-data/instance-id/`
ASG_NAME=`/usr/bin/aws ec2 describe-instances --instance-ids ${InstanceID} --query "Reservations[0].Instances[0].Tags[?Key=='aws:autoscaling:groupName'].Value" | jq -r '.|first'`
# get current private ip list
PrivateIPs=$( \
/usr/bin/aws ec2 describe-instances \
--instance-ids \
$( \
/usr/bin/aws autoscaling describe-auto-scaling-instances \
--output text \
--query "AutoScalingInstances[?contains(AutoScalingGroupName, 'Ref(AWS::StackName)')].InstanceId" \
) \
--query "Reservations[].Instances[].PrivateIpAddress" | jq 'map({"Value": .})' \
)
ZONE_ID=`/usr/bin/aws route53 list-hosted-zones | jq -r '.HostedZones[]|select(.Name=="example.com.au.")|.Id'|cut -d'/' -f3`
# update router53 records
/usr/bin/aws route53 change-resource-record-sets --hosted-zone-id ${ZONE_ID} --change-batch "{
\\"Changes\\": [{\\"Action\\": \\"UPSERT\\",\\"ResourceRecordSet\\": {\\"Name\\": \\"Ref(es-dns-lookup.example.com.au)\\",\\"Type\\": \\"A\\",\\"TTL\\": 60,\\"ResourceRecords\\": ${PrivateIPs}}}
]
}"
EIP_Allocate_ID=`/usr/bin/aws ec2 describe-tags --filter Name=resource-id,Values=${InstanceID} | jq -r '.Tags[] | select(.Key=="{{elastic_ip_tag_name}}") | .Value'`
/usr/bin/aws ec2 associate-address --instance-id ${InstanceID} --allocation-id ${EIP_Allocate_ID}
echo $(GetAtt(myElb, DNSName))
# wait s for network stable
/bin/sleep 60
cfn-init -s Ref(AWS::StackName) -r awesome-stack-name --region=Ref(AWS::Region) -c doIt
```
then this small tool will convert it to `troposphere` - `Join` or `Base64` for machine, `rendered.to_dict()` will be like ->
```python
{
"Fn::Base64": {
"Fn::Join": [
"",
[
"#!/bin/bash\nsudo apt update && apt install -y python-setuptools python-pip jq awscli\nsudo pip install https://s3.amazonaws.com/cloudformation-examples/aws-cfn-bootstrap-latest.tar.gz\n\ncurl -s https://packagecloud.io/install/repositories/EventStore/EventStore-OSS/script.deb.sh | sudo bash\nsudo apt update && apt install -y eventstore-oss=4.0.3\n\nexport AWS_DEFAULT_REGION=`/usr/bin/curl -sf http://169.254.169.254/latest/dynamic/instance-identity/document | jq -r .region`\n\nInstanceID=`/usr/bin/curl -sf http://169.254.169.254/latest/meta-data/instance-id/`\nASG_NAME=`/usr/bin/aws ec2 describe-instances --instance-ids ${InstanceID} --query \"Reservations[0].Instances[0].Tags[?Key=='aws:autoscaling:groupName'].Value\" | jq -r '.|first'`\n\n# get current private ip list\nPrivateIPs=$( /usr/bin/aws ec2 describe-instances --instance-ids $( /usr/bin/aws autoscaling describe-auto-scaling-instances --output text --query \"AutoScalingInstances[?contains(AutoScalingGroupName, '",
{
"Ref": "AWS::StackName"
},
"')].InstanceId\" ) --query \"Reservations[].Instances[].PrivateIpAddress\" | jq 'map({\"Value\": .})' )\n\nZONE_ID=`/usr/bin/aws route53 list-hosted-zones | jq -r '.HostedZones[]|select(.Name==\"example.com.au.\")|.Id'|cut -d'/' -f3`\n\n# update router53 records\n/usr/bin/aws route53 change-resource-record-sets --hosted-zone-id ${ZONE_ID} --change-batch \"{\n\\\"Changes\\\": [{\\\"Action\\\": \\\"UPSERT\\\",\\\"ResourceRecordSet\\\": {\\\"Name\\\": \\\"Ref(es-dns-lookup.example.com.au)\\\",\\\"Type\\\": \\\"A\\\",\\\"TTL\\\": 60,\\\"ResourceRecords\\\": ${PrivateIPs}}}\n]\n}\"\n\nEIP_Allocate_ID=`/usr/bin/aws ec2 describe-tags --filter Name=resource-id,Values=${InstanceID} | jq -r '.Tags[] | select(.Key==\"{{elastic_ip_tag_name}}\") | .Value'`\n/usr/bin/aws ec2 associate-address --instance-id ${InstanceID} --allocation-id ${EIP_Allocate_ID}\n\necho $(",
{
"Fn::GetAtt": [
"myElb",
"DNSName"
]
},
")\n\n# wait s for network stable\n/bin/sleep 60\ncfn-init -s ",
{
"Ref": "AWS::StackName"
},
" -r awesome-stack-name --region=",
{
"Ref": "AWS::Region"
},
" -c doIt"
]
]
}
}
```