# Unless explicitly stated otherwise all files in this repository are licensed under the BSD-3-Clause License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2015-Present Datadog, Inc
# stdlib
import calendar
import datetime
import json
import re

from datadog.util.compat import conditional_lru_cache

TAG_INVALID_CHARS_RE = re.compile(r"[^\w\d_\-:/\.]", re.UNICODE)
TAG_INVALID_CHARS_SUBS = "_"


def pretty_json(obj):
    return json.dumps(obj, sort_keys=True, indent=2)


def construct_url(host, api_version, path):
    return "{}/api/{}/{}".format(host.strip("/"), api_version.strip("/"), path.strip("/"))


def construct_path(api_version, path):
    return "{}/{}".format(api_version.strip("/"), path.strip("/"))


def force_to_epoch_seconds(epoch_sec_or_dt):
    if isinstance(epoch_sec_or_dt, datetime.datetime):
        return calendar.timegm(epoch_sec_or_dt.timetuple())
    return epoch_sec_or_dt


@conditional_lru_cache
def _normalize_tags_with_cache(tag_list):
    return [TAG_INVALID_CHARS_RE.sub(TAG_INVALID_CHARS_SUBS, tag) for tag in tag_list]


def normalize_tags(tag_list):
    # We have to turn our input tag list into a non-mutable tuple for it to
    # be hashable (and thus usable) by the @lru_cache decorator.
    return _normalize_tags_with_cache(tuple(tag_list))