#!/usr/bin/env python

"""
Common functions used in this add-on
"""

from __future__ import annotations

from configparser import ConfigParser
from csv import QUOTE_ALL, DictReader
from os import environ, path
from urllib.parse import urlparse

import requests


class Utility:
    """Provide common functions"""

    def __get_proxy(self, url: str) -> dict[str, dict[str, str]] | str:
        """
        Determine http proxy setting of a URL according to Splunk server configuration.
        Return {dict} of http/https proxy value if a URL should be proxied.
        """
        hostname = urlparse(url).hostname

        server_conf_path = path.join(
            environ.get("SPLUNK_HOME", path.join("opt", "splunk")),
            "etc",
            "system",
            "local",
            "server.conf",
        )
        server_conf = ConfigParser()
        server_conf.read(server_conf_path)
        proxy_config = (
            server_conf["proxyConfig"]
            if "proxyConfig" in server_conf.sections()
            else {}
        )
        proxy_rules = proxy_config.get("proxy_rules", "")
        no_proxy_rules = proxy_config.get("no_proxy", "")
        http_proxy = proxy_config.get("http_proxy", "")
        https_proxy = proxy_config.get("https_proxy", "")

        # https://docs.splunk.com/Documentation/Splunk/9.0.3/Admin/Serverconf#Splunkd_http_proxy_configuration
        if (
            # either configs should not be empty
            (len(http_proxy) >= 1 or len(https_proxy) >= 1)
            # hostname should not be excluded by no_proxy
            and hostname not in no_proxy_rules
            # if proxy_rules is set, should include hostname
            and (
                len(proxy_rules) == 0
                or (len(proxy_rules) >= 1 and hostname in proxy_rules)
            )
        ):
            return {"proxies": {"http": http_proxy, "https": https_proxy}}

        return {}

    def download(self, urls: list | tuple | str, index: int = 0) -> str:
        """
        Send a GET request to the URL and return content of the response.

        :param urls: A list of URLs to try in sequence
        :param index: List's index to start
        """
        if isinstance(urls, str):
            urls = (urls,)

        url = urls[index]
        proxy_config = self.__get_proxy(url)
        try:
            res = requests.get(url, timeout=5, **proxy_config)
            if res.status_code == requests.codes.ok:
                return res.text

            if index < len(urls) - 1:
                return self.download(urls, index + 1)

            res.raise_for_status()
        except requests.exceptions.HTTPError as errh:
            raise errh
        except requests.exceptions.ConnectionError as errc:
            raise errc
        except requests.exceptions.Timeout as errt:
            raise errt
        except requests.exceptions.RequestException as err:
            raise err

    def __split_column(self, input_str: str | list | None = None) -> list[str] | list:
        """Split {string} into {list} using comma separator"""
        if isinstance(input_str, str):
            return [x.strip() for x in input_str.split(",")]
        if isinstance(input_str, list):
            return input_str
        return []

    def insert_affix(
        self,
        row: dict,
        prefix_opt: str | list | None = None,
        suffix_opt: str | list | None = None,
        affix_opt: str | list | None = None,
    ) -> dict:
        """
        Affix wildcard "*" character to existing values

        :param row: A row of an array-parsed CSV
        :param prefix_opt: A column name or a comma-separated list of column names to have
        wildcard prefixed to their non-empty value.
        :param suffix_opt: Same as prefix_opt but have the wildcard suffixed instead.
        :param affix_opt: Same as prefix_opt but have the wildcard prefixed and suffixed.

        Return a new row with prefix/suffix columns appended
        """

        prefix_opt_list = self.__split_column(prefix_opt)
        suffix_opt_list = self.__split_column(suffix_opt)
        affix_opt_list = self.__split_column(affix_opt)
        new_column = {}

        for column in prefix_opt_list:
            if column in row and len(row[column]) >= 1:
                new_column = {
                    **new_column,
                    **{f"{column}_wildcard_prefix": f"*{row[column]}"},
                }
        for column in suffix_opt_list:
            if column in row and len(row[column]) >= 1:
                new_column = {
                    **new_column,
                    **{f"{column}_wildcard_suffix": f"{row[column]}*"},
                }
        for column in affix_opt_list:
            if column in row and len(row[column]) >= 1:
                new_column = {
                    **new_column,
                    **{f"{column}_wildcard_affix": f"*{row[column]}*"},
                }

        return {**row, **new_column}

    def csv_reader(self, csv_str: str) -> DictReader:
        """Parse an CSV input string into an interable of {dict} rows whose keys correspond to column names"""
        return DictReader(
            filter(lambda row: row[0] != "#", csv_str.splitlines()), quoting=QUOTE_ALL
        )