Convert Str to Int in from Yaml to Json - kubernetes

Question

How to force integer value in kubernetes template (without helm)
In variables.yaml
-name: PORT
value: 80
In template.yaml
ports:
- containerPort: $(PORT) --> output '80', expected: 80 (int)
protocol: TCP

Answer 1

In the Kubernetes template, you can use the "int" function to force the value of PORT to be an integer. you can make those changes on your template.yaml:
The "int" function converts PORT to an integer for the "containerPort" field. The "int" function around PORT ensures that the template treats it as an integer.
Helm utilizes variables differently than Kubernetes. Helm uses parentheses (()) to access variables, while Kubernetes uses double curly braces ().
ports:
- containerPort: {{int .Values.PORT}}
protocol: TCP
Can you try that script above if that can help you out?

Answer 2

To convert a string to an integer while converting from YAML to JSON, you can use a custom function to parse the string and convert it to an integer. Here is an example implementation in Python:
import yaml
import json
def parse_int(val):
try:
return int(val)
except ValueError:
return val
# Load YAML data from file or string
with open('data.yaml', 'r') as file:
yaml_data = yaml.safe_load(file)
# Parse string values as integers
parsed_data = json.loads(json.dumps(yaml_data, default=parse_int))
# Save JSON data to file or output to console
with open('data.json', 'w') as file:
json.dump(parsed_data, file, indent=2)
In this code, the parse_int function tries to parse the given value as an integer using the int function. If the value is not a valid integer, the function returns the original value. When converting the YAML data to JSON, we pass the parse_int function as the default argument to the json.dumps function. This tells the function to use our custom function to serialize any non-standard types (in this case, strings that represent integers) instead of raising an error.
Note that this implementation only works for integer values represented as strings in the YAML data. If you have other types of data that need to be converted, you will need to modify the 'parse_int' function or create additional functions to handle those cases.