kubezero/admin/migrate_argo_values.py

#!/usr/bin/env python3
import sys
import argparse
import io
import yaml


def migrate(values):
    """Actual changes here"""

    # migrate ClusterName to clusterName
    if "ClusterName" in values:
        values["clusterName"] = values["ClusterName"]
        values.pop("ClusterName")

    # Remove HighAvailableControlplane
    try:
        values["global"]["highAvailable"] = values["HighAvailableControlplane"]
        values.pop("HighAvailableControlplane")
    except KeyError:
        pass

    # Create new clusterwide cloudprovider data if possible
    # IamArn: arn:aws:iam::<ACCOUNT_ID>:role/<REGION>.<CLUSTERNAME>.cert-manager
    try:
        if values["cert-manager"]["IamArn"]:
            account_id = values["cert-manager"]["IamArn"].split(":")[4]
            region = values["cert-manager"]["IamArn"].split(":")[5].split('.')[0].split('/')[1]
            if "global" not in values:
                values["global"] = {}
            if "aws" not in values["global"]:
                values["global"]["aws"] = {}

            values["global"]["aws"]["region"] = region
            values["global"]["aws"]["accountId"] = account_id

    except KeyError:
        pass

    return values


class MyDumper(yaml.Dumper):
    """
    Required to add additional indent for arrays to match yq behaviour to reduce noise in diffs
    """
    def increase_indent(self, flow=False, indentless=False):
        return super(MyDumper, self).increase_indent(flow, False)

def str_presenter(dumper, data):
    if len(data.splitlines()) > 1:  # check for multiline string
        return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|")
    return dumper.represent_scalar("tag:yaml.org,2002:str", data)


def rec_sort(d):
    if isinstance(d, dict):
        res = dict()

        # Always have "enabled" first if present
        if "enabled" in d.keys():
            res["enabled"] = rec_sort(d["enabled"])
            d.pop("enabled")

        # next is "name" if present
        if "name" in d.keys():
            res["name"] = rec_sort(d["name"])
            d.pop("name")

        for k in sorted(d.keys()):
            res[k] = rec_sort(d[k])
        return res
    if isinstance(d, list):
        for idx, elem in enumerate(d):
            d[idx] = rec_sort(elem)

    return d


yaml.add_representer(str, str_presenter)

# to use with safe_dump:
yaml.representer.SafeRepresenter.add_representer(str, str_presenter)

# Read values
values = yaml.safe_load(sys.stdin)

# Output new values
buffer = io.StringIO()
yaml.dump(
    rec_sort(migrate(values)),
    sys.stdout,
    default_flow_style=False,
    indent=2,
    sort_keys=False,
    Dumper=MyDumper
)