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How to Load a YAML Subset in Python Without PyYAML
Parse a flat, key-value YAML file with the Python standard library (re and pathlib), handling comments, quotes, and inline comments while skipping nested structures.
import re
from pathlib import Path
def load_yaml_subset(path):
"""Load a flat YAML file (key: value) without external dependencies."""
data = {}
with open(path, 'r', encoding='utf-8') as f:
for line in f:
# Skip empty lines and comments
line = line.strip()
if no…How to apply Kubernetes YAML files from a folder in Python
Uses the Kubernetes Python client to apply all YAML manifests in a directory, with sorted processing and per-file error handling.
import os
import yaml
from kubernetes import client, config
from kubernetes.utils import create_from_yaml
def apply_yaml_folder(folder_path):
"""Apply all YAML files in a folder using the Kubernetes mock client."""
# Load mock configuration
config.load_kube_config()
k8s_client = client.ApiClient()
…How to Generate a Mock EKS Kubeconfig in Python
Generate a minimal kubeconfig dict with a mock EKS cluster entry and dump it to YAML using PyYAML.
import yaml
from pathlib import Path
def mock_eks_kubeconfig(cluster_name: str) -> dict:
"""Return a minimal kubeconfig dict with a mock EKS cluster entry."""
return {
"apiVersion": "v1",
"kind": "Config",
"clusters": [
{
"name": f"arn:aws:eks:us-east-1:123…How to Export a Conda Environment YAML File in Python
Generate a mock conda environment YAML export with a reusable Python function and the PyYAML library.
import yaml
def conda_env_mock(name="demo_env", channels=None, packages=None):
channels = channels or ["defaults"]
packages = packages or [
"python=3.11",
"pip",
"numpy=1.24.3",
"pandas=2.0.3",
]
env_dict = {
"name": name,
"channels": channels,
…How to List Pre-commit Hooks from YAML Config in Python
Parse a .pre-commit-config.yaml file with PyYAML and print every hook ID paired with its source repository.
import yaml
pre_commit_config = """
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: trailing-whitespace
- id: end-of-file-fixer
- id: check-yaml
- repo: https://github.com/psf/black
rev: 23.11.0
hooks:
- id: black
"""
def list_hooks(c…How to Parse Taskfile YAML in Python
Load a Taskfile.yaml with PyYAML and simulate task execution by returning each task's commands.
import yaml
from pathlib import Path
def load_taskfile(taskfile_path: str) -> dict:
"""Load and parse a Taskfile.yaml file into a dict."""
data = Path(taskfile_path).read_text()
return yaml.safe_load(data)
def run_task(taskfile: dict, task_name: str) -> dict:
"""Simulate running a task by returning i…Generate a docker-compose.yml with mock services in Python
Build a docker-compose.yml string from a Python dict of service names and images, then write it to a file.
import yaml
from pathlib import Path
def generate_mock_compose(services: dict) -> str:
compose = {
"version": "3.9",
"services": {}
}
for name, image in services.items():
compose["services"][name] = {
"image": image,
"container_name": f"mock-{name}",
…How to Generate a Kubernetes Deployment Manifest in Python
Generate a Kubernetes Deployment manifest as YAML from a Python dictionary using PyYAML.
import yaml
deployment = {
"apiVersion": "apps/v1",
"kind": "Deployment",
"metadata": {
"name": "mock-app",
"labels": {"app": "mock-app"}
},
"spec": {
"replicas": 3,
"selector": {
"matchLabels": {"app": "mock-app"}
},
"template": {
…How to Merge Helm Chart Values Per Environment in Python
Merge default Helm chart values with environment-specific overrides using a recursive dictionary merge function, then write each environment's YAML file.
from pathlib import Path
import json
import tempfile
DEFAULT_VALUES = {
"image": "nginx:latest",
"replicas": 1,
"resources": {"cpu": "100m", "memory": "128Mi"},
}
ENV_OVERRIDES = {
"dev": {"replicas": 1, "resources": {"cpu": "50m"}},
"staging": {"replicas": 2, "resources": {"cpu": "250m", "memor…How to mock Kustomize overlay patches in Python
Simulate Kustomize overlay behavior by deep-merging a base Kubernetes manifest with a patch dictionary in pure Python.
import json
SOURCE = {
"apiVersion": "apps/v1",
"kind": "Deployment",
"metadata": {"name": "app", "namespace": "prod"},
"spec": {
"replicas": 3,
"template": {
"spec": {
"containers": [{"name": "app", "image": "nginx:1.19"}]
}
}
}
}
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