#!/usr/bin/env python3
#
# Copyright (c) 2017-2019  Joe Clarke <jclarke@cisco.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
#    notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
#    notice, this list of conditions and the following disclaimer in the
#    documentation and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED.  IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
# SUCH DAMAGE.

import netsnmp
import os
import json
from sparker import Sparker, MessageType
import CLEUCreds
from cleu.config import Config as C

CACHE_FILE = "/home/jclarke/errors_cache.dat"
THRESHOLD = 1
WINDOW = 12
REARM = 6


WEBEX_ROOM = "Data Centre Alarms"

devices = ["dc1-mccsw-1", "dc1-mccsw-2", "dc2-mccsw-1", "dc2-mccsw-2", "dc1-ethsw-1", "dc1-ethsw-2", "dc2-ethsw-1", "dc2-ethsw-2"]

ignore_interfaces = {}

prev_state = {}
curr_state = {}

if __name__ == "__main__":

    spark = Sparker(token=CLEUCreds.SPARK_TOKEN)

    if os.path.exists(CACHE_FILE):
        fd = open(CACHE_FILE, "r")
        prev_state = json.load(fd)
        fd.close()

    for device in devices:

        swent = {}

        vars = netsnmp.VarList(
            netsnmp.Varbind("ifDescr"),
            netsnmp.Varbind("ifInErrors"),
            netsnmp.Varbind("ifOutErrors"),
            netsnmp.Varbind("ifInDiscards"),
            netsnmp.Varbind("ifOutDiscards"),
            netsnmp.Varbind("ifAlias"),
        )
        netsnmp.snmpwalk(
            vars,
            Version=3,
            DestHost=device,
            SecLevel="authPriv",
            SecName="CLEUR",
            AuthProto="SHA",
            AuthPass=CLEUCreds.SNMP_AUTH_PASS,
            PrivProto="DES",
            PrivPass=CLEUCreds.SNMP_PRIV_PASS,
        )
        for var in vars:
            if var.iid not in swent:
                swent[var.iid] = {}
                swent[var.iid]["count"] = 0
                swent[var.iid]["suppressed"] = False

            swent[var.iid][var.tag] = var.val

        curr_state[device] = swent
        if not device in prev_state:
            continue

        for ins, vard in curr_state[device].items():
            if not ins in prev_state[device]:
                continue
            if not "ifDescr" in vard:
                continue
            if not "ifAlias" in vard:
                vard["ifAlias"] = ""
            if "count" in prev_state[device][ins]:
                curr_state[device][ins]["count"] = prev_state[device][ins]["count"]

            if "suppressed" in prev_state[device][ins]:
                curr_state[device][ins]["suppressed"] = prev_state[device][ins]["suppressed"]
            if_descr = vard["ifDescr"]
            if_alias = vard["ifAlias"]
            if device in ignore_interfaces and if_descr in ignore_interfaces[device]:
                continue
            found_error = False
            for k, v in vard.items():
                if k == "ifDescr" or k == "ifAlias" or k == "count" or k == "suppressed":
                    continue
                if k in prev_state[device][ins]:
                    diff = int(v) - int(prev_state[device][ins][k])
                    if diff >= THRESHOLD:
                        found_error = True
                        if curr_state[device][ins]["count"] < WINDOW and not curr_state[device][ins]["suppressed"]:
                            spark.post_to_spark(
                                C.WEBEX_TEAM,
                                WEBEX_ROOM,
                                "Interface **{}** ({}) on device _{}_ has seen an increase of **{}** {} since the last poll (previous: {}, current: {}).".format(
                                    if_descr, if_alias, device, diff, k, prev_state[device][ins][k], v
                                ),
                                MessageType.WARNING,
                            )
                        elif not curr_state[device][ins]["suppressed"]:
                            curr_state[device][ins]["suppressed"] = True
                            spark.post_to_spark(
                                C.WEBEX_TEAM,
                                WEBEX_ROOM,
                                "Suppressing alarms for interface **{}** ({}) on device _{}_".format(if_descr, if_alias, device),
                                MessageType.GOOD,
                            )
            if not found_error:
                if curr_state[device][ins]["count"] > 0:
                    curr_state[device][ins]["count"] -= 1
                    if curr_state[device][ins]["count"] < REARM and curr_state[device][ins]["suppressed"]:
                        spark.post_to_spark(
                            C.WEBEX_TEAM,
                            WEBEX_ROOM,
                            "Interface **{}** ({}) on device _{}_ is no longer seeing an increase of errors".format(
                                if_descr, if_alias, device
                            ),
                            MessageType.GOOD,
                        )
                        curr_state[device][ins]["suppressed"] = False
            else:
                curr_state[device][ins]["count"] += 1

    fd = open(CACHE_FILE, "w")
    json.dump(curr_state, fd, indent=4)
    fd.close()