#!/usr/bin/python3
import sys
import codecs
import traceback
import requests
import re
import pandas as pd
import random
import urllib
import json

import datetime

import os
import threading
from googleapiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials
import dataset
import pymysql

pymysql.install_as_MySQLdb()
from datetime import datetime
import platform

db = dataset.connect('mysql://choozmo:pAssw0rd@db.ptt.cx:3306/hhh?charset=utf8mb4')
db.query('delete from ga_pagepath')
db.begin()

table = db['ga_pagepath']
SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
platform_now = platform.system().lower()

# KEY_FILE_LOCATION = 'c:\gitlab\kw_tools\monitor\corded-velocity-301807-a3e3d5420aba.json'
KEY_FILE_LOCATION = '/Users/zooeytsai/Downloads/corded-velocity-301807-a3e3d5420aba.json'

# line notify header
headers = {
    "Authorization": "Bearer " + "QCAM5upFjeBVp54PGqT4eMZSXPU0y4vYk1e1CoASa2P",
    "Content-Type": "application/x-www-form-urlencoded"
}

com_table = []


def creat_table():
    for i in range(0, 24):
        com_table.append([i, 6000])
    # com_table.append([24,70000])


def send_msg_pg(viewid, pv):
    # line notify send message
    current_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')  # 現在時間
    hour = datetime.now().strftime('%H')
    # 判斷是否達標
    complet = "否"
    # for i in range(0,25):
    #   if int(hour)+1==com_table[i][0]:
    #     print(i)
    #     if int(kw) > com_table[i][1] :
    #       complet="是"
    #   elif int(hour) == 24:
    #     if int(kw) > 70000 :
    #       complet="是"
    print('網頁瀏覽量', pv)
    if viewid == '208868237':
        if int(pv) > 2000:
            complet = "是"
        else:
            complet = '否'
    else:
        if int(pv) > 2300:
            complet = "是"
        else:
            complet = "否"

    params = {"message": "\n現在時間: " + current_time + "\n當前pageViews: " + pv + "\n是否達標: " + complet}
    print(params)
    return params
    r = requests.post("https://notify-api.line.me/api/notify", headers=headers, params=params)
    print(r)


def initialize_analyticsreporting(key_file):
    """Initializes an Analytics Reporting API V4 service object.

  Returns:
    An authorized Analytics Reporting API V4 service object.
  """
    credentials = ServiceAccountCredentials.from_json_keyfile_name(
        key_file, SCOPES)

    # Build the service object.
    analytics = build('analyticsreporting', 'v4', credentials=credentials)

    return analytics


def get_report(analytics, body):
    """Queries the Analytics Reporting API V4.

  Args:
    analytics: An authorized Analytics Reporting API V4 service object.
  Returns:
    The Analytics Reporting API V4 response.
  """
    return analytics.reports().batchGet(
        body={
            'reportRequests': body
        }
    ).execute()


def print_response(response):
    """Parses and prints the Analytics Reporting API V4 response.

  Args:
    response: An Analytics Reporting API V4 response.
  """
    result = []
    for report in response.get('reports', []):
        columnHeader = report.get('columnHeader', {})
        dimensionHeaders = columnHeader.get('dimensions', [])
        metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])

        for row in report.get('data', {}).get('rows', []):
            dimensions = row.get('dimensions', [])
            dateRangeValues = row.get('metrics', [])
            ga_dict = {}

            for header, dimension in zip(dimensionHeaders, dimensions):
                #        print(header + ': ', dimension)
                ga_dict[header] = dimension

            for i, values in enumerate(dateRangeValues):
                #        print('Date range:', str(i))
                for metricHeader, value in zip(metricHeaders, values.get('values')):
                    ga_dict[metricHeader.get('name')] = value
                #          print(metricHeader.get('name') + ':', value)
                result.append(ga_dict)
        return result


#        print(ga_dict)


def main(viewid, key_file):
    creat_table()
    analytics = initialize_analyticsreporting(key_file)
    current_time = datetime.now().strftime('%Y-%m-%d')  # 現在時間
    body = [{'viewId': viewid,
             'dateRanges': [{'startDate': current_time, 'endDate': current_time}],

             'metrics': [{'expression': 'ga:users'}, {'expression': 'ga:newusers'}, {'expression': 'ga:sessions'},
                         {'expression': 'ga:pageviews'}, {'expression': 'ga:bounceRate'},
                         {'expression': 'ga:pageviewsPerSession'}],
             #  'dimensions': [{'name': 'ga:pagePath'}],
             #  'orderBys':[{"fieldName": "ga:pageviews", "sortOrder": "DESCENDING"}],
             'pageSize': '100'
             }]

    response = get_report(analytics, body)
    ga_dict = print_response(response)

    result = []
    for elmt in ga_dict:
        print(elmt)
        hour = datetime.now().strftime('%H')
        # if int(hour)+1 > 8 :
        message = send_msg_pg(viewid, elmt['ga:pageviews'])
    #      result.append(elmt)
    print('inserting.....')
    return message


if __name__ == '__main__':
    creat_table()
    main('123')