#!/usr/bin/env python3
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# Class holds default settings for json requests to Ghost     -
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
import os
import sys
if sys.version_info[0] != 3:
    print("This script requires Python 3")
    exit()
import requests
import jwt
from datetime import datetime
import json
import subprocess
from scp import SCPClient
import paramiko
from GrafanaRequest import GrafanaRequest
from influx2 import RecordInflux
import time
from collections import Counter
import shutil
class CSVReader:
    def read_csv(self,
                 file,
                 sep=','):
        df = open(file).read().split('\n')
        rows = list()
        for x in df:
            if len(x) > 0:
                rows.append(x.split(sep))
        length = list(range(0, len(df[0])))
        columns = dict(zip(df[0], length))
        return rows
    def get_column(self,
                   df,
                   value):
        index = df[0].index(value)
        values = []
        for row in df[1:]:
            values.append(row[index])
        return values
    def get_columns(self, df, targets):
        target_index = []
        for item in targets:
            target_index.append(df[0].index(item))
        results = []
        for row in df:
            row_data = []
            for x in target_index:
                row_data.append(row[x])
            results.append(row_data)
        return results
    def to_html(self, df):
        html = ''
        html = html + ('
')
        for row in df[1:]:
            for item in row:
                html = html + ('| %s' % item)
            html = html + (' | 
\n')
        html = html + ('
')
        return html
    def filter_df(self, df, column, expression, target):
        target_index = df[0].index(column)
        counter = 0
        targets = [0]
        for row in df:
            try:
                if expression == 'less than':
                    if float(row[target_index]) < target:
                        targets.append(counter)
                        counter += 1
                    else:
                        counter += 1
                if expression == 'greater than':
                    if float(row[target_index]) > target:
                        targets.append(counter)
                        counter += 1
                    else:
                        counter += 1
                if expression == 'greater than or equal to':
                    if float(row[target_index]) >= target:
                        targets.append(counter)
                        counter += 1
                    else:
                        counter += 1
            except:
                counter += 1
        return list(map(df.__getitem__, targets))
    def concat(self, dfs):
        final_df = dfs[0]
        for df in dfs[1:]:
            final_df = final_df + df[1:]
        return final_df
class GhostRequest:
    def __init__(self,
                 _ghost_json_host,
                 _ghost_json_port,
                 _api_token=None,
                 _overwrite='false',
                 debug_=False,
                 die_on_error_=False,
                 influx_host=None,
                 influx_port=8086,
                 influx_org=None,
                 influx_token=None,
                 influx_bucket=None):
        self.debug = debug_
        self.die_on_error = die_on_error_
        self.ghost_json_host = _ghost_json_host
        self.ghost_json_port = _ghost_json_port
        self.ghost_json_url = "http://%s:%s/ghost/api/v3" % (_ghost_json_host, _ghost_json_port)
        self.data = dict()
        self.data['overwrite'] = _overwrite
        self.ghost_json_login = self.ghost_json_url + '/admin/session/'
        self.api_token = _api_token
        self.images = list()
        self.pdfs = list()
        self.influx_host = influx_host
        self.influx_port = influx_port
        self.influx_org = influx_org
        self.influx_token = influx_token
        self.influx_bucket = influx_bucket
    def encode_token(self):
        # Split the key into ID and SECRET
        key_id, secret = self.api_token.split(':')
        # Prepare header and payload
        iat = int(datetime.now().timestamp())
        header = {'alg': 'HS256', 'typ': 'JWT', 'kid': key_id}
        payload = {
            'iat': iat,
            'exp': iat + 5 * 60,
            'aud': '/v3/admin/'
        }
        token = jwt.encode(payload, bytes.fromhex(secret), algorithm='HS256', headers=header)
        return token
    def create_post(self,
                    title=None,
                    text=None,
                    tags=None,
                    authors=None,
                    status="published"):
        ghost_json_url = self.ghost_json_url + '/admin/posts/?source=html'
        post = dict()
        posts = list()
        datastore = dict()
        datastore['html'] = text
        datastore['title'] = title
        datastore['status'] = status
        posts.append(datastore)
        post['posts'] = posts
        headers = dict()
        token = self.encode_token()
        headers['Authorization'] = 'Ghost {}'.format(token)
        response = requests.post(ghost_json_url, json=post, headers=headers)
        if self.debug:
            print(datastore)
            print(ghost_json_url)
            print('\n')
            print(post)
            print('\n')
            print(headers)
            print(response.headers)
    def upload_image(self,
                     image):
        print(image)
        ghost_json_url = self.ghost_json_url + '/admin/images/upload/'
        token = self.encode_token()
        bashCommand = "curl -X POST -F 'file=@%s' -H \"Authorization: Ghost %s\" %s" % (image, token, ghost_json_url)
        proc = subprocess.Popen(bashCommand, shell=True, stdout=subprocess.PIPE)
        output = proc.stdout.read().decode('utf-8')
        print(output)
        self.images.append(json.loads(output)['images'][0]['url'])
    def upload_images(self,
                      folder):
        for image in os.listdir(folder):
            if 'kpi' in image:
                if 'png' in image:
                    self.upload_image(folder + '/' + image)
        print('images %s' % self.images)
    def custom_post(self,
                    folder,
                    authors,
                    title='custom'):
        self.upload_images(folder)
        head = '''This is a custom post created via a script
'''
        for picture in self.images:
            head = head + ' ' % picture
        head = head + '''
' % picture
        head = head + '''This is the end of the example
'''
        self.create_post(title=title,
                         text=head,
                         tags='custom',
                         authors=authors)
    def list_append(self, list_1, value):
        list_1.append(value)
    def kpi_to_ghost(self,
                     authors,
                     folders,
                     parent_folder=None,
                     title=None,
                     server_pull=None,
                     ghost_host=None,
                     port=22,
                     user_push=None,
                     password_push=None,
                     customer=None,
                     testbed='Unknown Testbed',
                     test_run=None,
                     target_folders=list(),
                     grafana_token=None,
                     grafana_host=None,
                     grafana_port=3000,
                     grafana_datasource='InfluxDB',
                     grafana_bucket=None):
        global dut_hw, dut_sw, dut_model, dut_serial
        text = ''
        csvreader = CSVReader()
        if grafana_token is not None:
            grafana = GrafanaRequest(grafana_token,
                                     grafana_host,
                                     grafanajson_port=grafana_port
                                     )
        print('Folders: %s' % folders)
        ssh_push = paramiko.SSHClient()
        ssh_push.set_missing_host_key_policy(paramiko.client.AutoAddPolicy)
        ssh_push.connect(ghost_host,
                         port,
                         username=user_push,
                         password=password_push,
                         allow_agent=False,
                         look_for_keys=False)
        scp_push = SCPClient(ssh_push.get_transport())
        if parent_folder is not None:
            print("parent_folder %s" % parent_folder)
            files = os.listdir(parent_folder)
            print(files)
            for file in files:
                if os.path.isdir(parent_folder + '/' + file) is True:
                    if os.path.exists(file):
                        shutil.rmtree(file)
                    shutil.copytree(parent_folder + '/' + file, file)
                    target_folders.append(file)
            print('Target folders: %s' % target_folders)
        else:
            for folder in folders:
                print(folder)
                target_folders.append(folder)
        testbeds = list()
        pdfs = list()
        high_priority_list = list()
        low_priority_list = list()
        images = list()
        times = list()
        test_pass_fail = list()
        for target_folder in target_folders:
            try:
                target_file = '%s/kpi.csv' % target_folder
                df = csvreader.read_csv(file=target_file, sep='\t')
                csv_testbed = csvreader.get_column(df, 'test-rig')[0]
                pass_fail = Counter(csvreader.get_column(df, 'pass/fail'))
                test_pass_fail.append(pass_fail)
                dut_hw = csvreader.get_column(df, 'dut-hw-version')[0]
                dut_sw = csvreader.get_column(df, 'dut-sw-version')[0]
                dut_model = csvreader.get_column(df, 'dut-model-num')[0]
                dut_serial = csvreader.get_column(df, 'dut-serial-num')[0]
                times_append = csvreader.get_column(df, 'Date')
                for target_time in times_append:
                    times.append(float(target_time)/1000)
                if pass_fail['PASS'] + pass_fail['FAIL'] > 0:
                    text = text + 'Tests passed: %s
' % pass_fail['PASS']
                    text = text + 'Tests failed: %s
' % pass_fail['FAIL']
                    text = text + 'Percentage of tests passed: %s
' % (
                        pass_fail['PASS'] / (pass_fail['PASS'] + pass_fail['FAIL']))
                else:
                    text = text + 'Tests passed: 0
' \
                                  'Tests failed : 0
' \
                                  'Percentage of tests passed: Not Applicable
'
            except:
                print("Failure")
                target_folders.remove(target_folder)
                break
            testbeds.append(csv_testbed)
            if testbed == 'Unknown Testbed':
                raise UserWarning('Please define your testbed')
            local_path = '/home/%s/%s/%s' % (user_push, customer, testbed)
            transport = paramiko.Transport(ghost_host, port)
            transport.connect(None, user_push, password_push)
            sftp = paramiko.sftp_client.SFTPClient.from_transport(transport)
            if self.debug:
                print(local_path)
                print(target_folder)
            scp_push.put(target_folder, local_path, recursive=True)
            files = sftp.listdir(local_path + '/' + target_folder)
            for file in files:
                if 'pdf' in file:
                    url = 'http://%s/%s/%s/%s/%s' % (
                        ghost_host, customer.strip('/'), testbed, target_folder, file)
                    pdfs.append('PDF of results: %s
' % (url, file))
            scp_push.close()
            self.upload_images(target_folder)
            for image in self.images:
                if 'kpi-' in image:
                    if '-print' not in image:
                        images.append(' ' % image)
            self.images = []
            results = csvreader.get_columns(df, ['short-description', 'numeric-score', 'test details', 'test-priority'])
            low_priority = csvreader.filter_df(results, 'test-priority', 'less than', 94)
            high_priority = csvreader.filter_df(results, 'test-priority', 'greater than or equal to', 95)
            high_priority_list.append(high_priority)
            low_priority_list.append(low_priority)
        now = datetime.now()
        end_time = max(times)
        start_time = '2021-07-01'
        end_time = datetime.utcfromtimestamp(end_time).strftime('%Y-%m-%d %H:%M:%S')
        high_priority = csvreader.concat(high_priority_list)
        low_priority = csvreader.concat(low_priority_list)
        high_priority = csvreader.get_columns(high_priority, ['short-description', 'numeric-score', 'test details'])
        low_priority = csvreader.get_columns(low_priority, ['short-description', 'numeric-score', 'test details'])
        if title is None:
            title = now.strftime('%B %d, %Y %I:%M %p report')
        # create Grafana Dashboard
        target_files = []
        for folder in target_folders:
            target_files.append(folder.split('/')[-1] + '/kpi.csv')
        if self.debug:
            print('Target files: %s' % target_files)
        grafana.create_custom_dashboard(target_csvs=target_files,
                                        title=title,
                                        datasource=grafana_datasource,
                                        bucket=grafana_bucket,
                                        from_date=start_time,
                                        to_date=end_time,
                                        pass_fail='GhostRequest')
        test_pass_fail_results = sum((Counter(test) for test in test_pass_fail), Counter())
        if self.influx_token is not None:
            influxdb = RecordInflux(_influx_host=self.influx_host,
                                    _influx_port=self.influx_port,
                                    _influx_org=self.influx_org,
                                    _influx_token=self.influx_token,
                                    _influx_bucket=self.influx_bucket)
            short_description = 'Ghost Post Tests passed'#variable name
            numeric_score = test_pass_fail_results['PASS'] #value
            tags = dict()
            tags['testbed'] = csv_testbed
            tags['script'] = 'GhostRequest'
            tags['Graph-Group'] = 'PASS'
            date = now.astimezone().isoformat() #date
            influxdb.post_to_influx(short_description, numeric_score, tags, date)
            short_description = 'Ghost Post Tests failed'#variable name
            numeric_score = test_pass_fail_results['FAIL'] #value
            tags = dict()
            tags['testbed'] = csv_testbed
            tags['script'] = 'GhostRequest'
            tags['Graph-Group'] = 'FAIL'
            date = now.astimezone().isoformat() #date
            influxdb.post_to_influx(short_description, numeric_score, tags, date)
        text = 'Testbed: %s
' % image)
            self.images = []
            results = csvreader.get_columns(df, ['short-description', 'numeric-score', 'test details', 'test-priority'])
            low_priority = csvreader.filter_df(results, 'test-priority', 'less than', 94)
            high_priority = csvreader.filter_df(results, 'test-priority', 'greater than or equal to', 95)
            high_priority_list.append(high_priority)
            low_priority_list.append(low_priority)
        now = datetime.now()
        end_time = max(times)
        start_time = '2021-07-01'
        end_time = datetime.utcfromtimestamp(end_time).strftime('%Y-%m-%d %H:%M:%S')
        high_priority = csvreader.concat(high_priority_list)
        low_priority = csvreader.concat(low_priority_list)
        high_priority = csvreader.get_columns(high_priority, ['short-description', 'numeric-score', 'test details'])
        low_priority = csvreader.get_columns(low_priority, ['short-description', 'numeric-score', 'test details'])
        if title is None:
            title = now.strftime('%B %d, %Y %I:%M %p report')
        # create Grafana Dashboard
        target_files = []
        for folder in target_folders:
            target_files.append(folder.split('/')[-1] + '/kpi.csv')
        if self.debug:
            print('Target files: %s' % target_files)
        grafana.create_custom_dashboard(target_csvs=target_files,
                                        title=title,
                                        datasource=grafana_datasource,
                                        bucket=grafana_bucket,
                                        from_date=start_time,
                                        to_date=end_time,
                                        pass_fail='GhostRequest')
        test_pass_fail_results = sum((Counter(test) for test in test_pass_fail), Counter())
        if self.influx_token is not None:
            influxdb = RecordInflux(_influx_host=self.influx_host,
                                    _influx_port=self.influx_port,
                                    _influx_org=self.influx_org,
                                    _influx_token=self.influx_token,
                                    _influx_bucket=self.influx_bucket)
            short_description = 'Ghost Post Tests passed'#variable name
            numeric_score = test_pass_fail_results['PASS'] #value
            tags = dict()
            tags['testbed'] = csv_testbed
            tags['script'] = 'GhostRequest'
            tags['Graph-Group'] = 'PASS'
            date = now.astimezone().isoformat() #date
            influxdb.post_to_influx(short_description, numeric_score, tags, date)
            short_description = 'Ghost Post Tests failed'#variable name
            numeric_score = test_pass_fail_results['FAIL'] #value
            tags = dict()
            tags['testbed'] = csv_testbed
            tags['script'] = 'GhostRequest'
            tags['Graph-Group'] = 'FAIL'
            date = now.astimezone().isoformat() #date
            influxdb.post_to_influx(short_description, numeric_score, tags, date)
        text = 'Testbed: %s
' % testbeds[0]
        dut_table = '| DUT_HW | DUT_SW | DUT model | DUT Serial | Tests passed | Tests failed | 
' \
                    '| %s | %s | %s | %s | %s | %s | 
' % (dut_hw, dut_sw, dut_model, dut_serial, test_pass_fail_results['PASS'], test_pass_fail_results['FAIL'])
        text = text + dut_table
        for pdf in pdfs:
            text = text + pdf
        for image in images:
            text = text + image
        text = text + 'High priority results: %s' % csvreader.to_html(high_priority)
        if grafana_token is not None:
            # get the details of the dashboard through the API, and set the end date to the youngest KPI
            grafana.list_dashboards()
            grafana.create_snapshot(title='Testbed: ' + title)
            time.sleep(3)
            snapshot = grafana.list_snapshots()[-1]
            text = text + '
' % (
                grafana_host, snapshot['key'], '%')
        text = text + 'Low priority results: %s' % csvreader.to_html(low_priority)
        self.create_post(title=title,
                         text=text,
                         tags='custom',
                         authors=authors)