import os
import sys
import argparse
import json
import csv
import getpass
import string
import random
import re

from datetime import datetime
import ldap
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
from requests.auth import HTTPBasicAuth
import validators



def create_guac_connection(BASE_URL, auth_token, ldap_group, computer, guac_group_id):
    '''
    creates a guac connection
    '''
    json_header = {'Accept': 'application/json'}
    query_parm_payload = { 'token': auth_token }

    payload_data = {
   "parentIdentifier":guac_group_id,
   "name":computer,
   "protocol":"vnc",
   "parameters":{
      "port":"5900",
      "read-only":"",
      "swap-red-blue":"",
      "cursor":"",
      "color-depth":"",
      "clipboard-encoding":"",
      "disable-copy":"",
      "disable-paste":"",
      "dest-port":"",
      "recording-exclude-output":"",
      "recording-exclude-mouse":"",
      "recording-include-keys":"",
      "create-recording-path":"",
      "enable-sftp":"true",
      "sftp-port":"",
      "sftp-server-alive-interval":"",
      "enable-audio":"",
      "audio-servername":"",
      "sftp-directory":"",
      "sftp-root-directory":"",
      "sftp-passphrase":"",
      "sftp-private-key":"",
      "sftp-username":"",
      "sftp-password":"",
      "sftp-host-key":"",
      "sftp-hostname":"",
      "recording-name":"",
      "recording-path":"",
      "dest-host":"",
      "password":"asdasd",
      "username":"asdasd",
      "hostname":"nt72310.cvad.unt.edu"
   },
   "attributes":{
      "max-connections":"",
      "max-connections-per-user":"1",
      "weight":"",
      "failover-only":"",
      "guacd-port":"",
      "guacd-encryption":"",
      "guacd-hostname":""
   }
}
    CREATE_CONNECTION_URL = BASE_URL + "/api/session/data/mysql/connections"

    create_connection_request = requests.post(CREATE_CONNECTION_URL, headers=json_header, params=query_parm_payload, data=payload_data, verify=False)
    create_connection_result = create_connection_request.status_code


    if create_connection_result == "200":
        print("Successfully created computer: " + computer)
    else: 
        print(create_connection_request.json())

    return create_connection_result

#Python program to print topological sorting of a DAG
from collections import defaultdict
  
#Class to represent a graph
class Graph:
    def __init__(self,vertices):
        self.graph = defaultdict(list) #dictionary containing adjacency List
        self.V = vertices #No. of vertices
  
    # function to add an edge to graph
    def addEdge(self,u,v):
        self.graph[u].append(v)
  
    # A recursive function used by topologicalSort
    def topologicalSortUtil(self,v,visited,stack):
  
        # Mark the current node as visited.
        visited[v] = True
  
        # Recur for all the vertices adjacent to this vertex
        for i in self.graph[v]:
            if visited[i] == False:
                self.topologicalSortUtil(i,visited,stack)
  
        # Push current vertex to stack which stores result
        stack.insert(0,v)
  
    # The function to do Topological Sort. It uses recursive 
    # topologicalSortUtil()
    def topologicalSort(self):
        # Mark all the vertices as not visited
        visited = [False]*self.V
        stack =[]
  
        # Call the recursive helper function to store Topological
        # Sort starting from all vertices one by one
        for i in range(self.V):
            if visited[i] == False:
                self.topologicalSortUtil(i,visited,stack)
  
        # Print contents of stack
        print(stack)
  
g= Graph(6)
g.addEdge(5, 2);
g.addEdge(5, 0);
g.addEdge(4, 0);
g.addEdge(4, 1);
g.addEdge(2, 3);
g.addEdge(3, 1);
  
print("Following is a Topological Sort of the given graph")
g.topologicalSort()

from collections import defaultdict

def combine_values(*dicts):
  res = defaultdict(list)
  for d in dicts:
    for key in d:
      res[key].append(d[key])
  return dict(res)
  
d1 = {'a': 1, 'b': 'foo', 'c': 400}
d2 = {'a': 3, 'b': 200, 'd': 400}

combine_values(d1, d2) # {'a': [1, 3], 'b': ['foo', 200], 'c': [400], 'd': [400]}

"""
Take screenshots at x interval - make a movie of doings on a computer.
"""

import time
from datetime import datetime

import ffmpeg
import pyautogui

while True:
    epoch_time = int(time.time())
    today = datetime.now().strftime("%Y_%m_%d")
    filename = str(epoch_time) + ".png"

    print("taking screenshot: {0}".format(filename))
    myScreenshot = pyautogui.screenshot()

    myScreenshot.save(today + "/" + filename)

    time.sleep(5)

#
# and then tie it together with: https://github.com/kkroening/ffmpeg-python/blob/master/examples/README.md#assemble-video-from-sequence-of-frames
#

"""
import ffmpeg
(
    ffmpeg
    .input('./2021_01_22/*.png', pattern_type='glob', framerate=25)
    .filter('deflicker', mode='pm', size=10)
    .filter('scale', size='hd1080', force_original_aspect_ratio='increase')
    .output('movie.mp4', crf=20, preset='slower', movflags='faststart', pix_fmt='yuv420p')
    .run()
)
"""

class Solution(object):
    def floodFill(self, image, sr, sc, newColor):
        R, C = len(image), len(image[0])
        color = image[sr][sc]
        if color == newColor: return image
        def dfs(r, c):
            if image[r][c] == color:
                image[r][c] = newColor
                if r >= 1: dfs(r-1, c)
                if r+1 < R: dfs(r+1, c)
                if c >= 1: dfs(r, c-1)
                if c+1 < C: dfs(r, c+1)

        dfs(sr, sc)
        return image

from time import sleep

def delay(fn, ms, *args):
  sleep(ms / 1000)
  return fn(*args)

delay(lambda x: print(x), 1000, 'later') # prints 'later' after one second