xray_syncTestandPrecond.py

# Copyright (c) 2020, Xblend Software, Lda
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import requests
import json
from collections import namedtuple
from collections import Counter
from jira import JIRA
from requests.auth import HTTPBasicAuth
from xray_helper import *
from pyfiglet import Figlet
import argparse
from xray_variables import *
import logging
import os.path
from os import path
import sys
import time
from jira.exceptions import JIRAError
import pandas as pd
import numpy as np
from datetime import datetime

# Command line arguments
parser = argparse.ArgumentParser(description='Test Plan and Test Syncronizer')
parser.add_argument('-ignore',
    help='Pass as input a list of onpremise issues keys, to be ignored (default: will try to get test defined in the JQL query). The format should be TESTPLANKEY:TESTKEY'
)
parser.add_argument('-export',
    help='Export list of issues processed (default: information is logged though the log file but no file is created). Format can then be used as input of this script'
)
commandExecutionExceptions = parser.parse_args()
start = time.time()

for handler in logging.root.handlers[:]:
    logging.root.removeHandler(handler)
rootLogger = logging.getLogger()
logFormatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
fileHandler = logging.FileHandler(filename=os.path.basename(__file__ + str(datetime.now().strftime("%H_%M_%d_%m_%Y")) +".log"), mode='a')
fileHandler.setFormatter(logFormatter)
rootLogger.addHandler(fileHandler)
consoleHandler = logging.StreamHandler(sys.stdout)
consoleHandler.setFormatter(logFormatter)
rootLogger.addHandler(consoleHandler)


logging.info("------------------- ##### Starting ##### ------------------- ")
# Build ignore list if required
ignoreList=[]
if commandExecutionExceptions.ignore != None:
    logging.info("Colleting list of issues to ignore....")
    if not path.exists(commandExecutionExceptions.ignore ):
        logging.info("File '"  + commandExecutionExceptions.ignore + "' does not exists")
        sys.exit()
    else:    
        with open(commandExecutionExceptions.ignore, mode='r',newline='') as csv_file:
             for line in csv_file:
                logging.info(line.replace('\n', ' ').replace('\r', ''))
                ignoreList.append(line.replace('\n', '').replace('\r', ''))

if commandExecutionExceptions.export != None: 
        fileExport = open(commandExecutionExceptions.export,"w") 


f = Figlet(font='slant')
print (f.renderText('Your Test and PreCond Xray synchronizer!'))

#Get auth token and build header for requests
response = requests.post('https://xray.cloud.getxray.app/api/v1/authenticate', data={"client_id": GLOBAL_client_id,"client_secret":GLOBAL_client_secret})
token=response.text.replace("\"","")
headers = {'Authorization':'Bearer %s' % token}
jira = JIRA(basic_auth=(GLOBAL_basic_auth_user, GLOBAL_basic_auth_pass),options={"server": GLOBAL_onPremiseURL})  # a username/password tuple
jiraCloud = JIRA(basic_auth=(GLOBAL_cloudUser, GLOBAL_apitoken),options={"server": GLOBAL_onCloudMig})  # a username/password tuple
        

# Get all Tests
logging.info("-------")
logging.info("======= Collecting INFO [START] =========")
logging.info("Processing Tests...")
block_size = 100
block_num = 0
mutation = ""
issuesScanned = []
keyStats = []
timeStats = []
count =0
while True:
    start_idx = block_num*block_size
    issues = jira.search_issues(GLOBAL_jqlTestandPreCond, start_idx,block_size)
    if len(issues) == 0:
        # Retrieve issues until there are no more to come
        break
    block_num += 1
    mutation = ""
    for issue in issues:
        startExec = time.time()
        logging.info(issue.key + " " + issue.fields.summary)
        try:
            cloudTest = jiraCloud.issue(issue.key)
        except JIRAError as e:
            logging.error("Failed to retrieve Issue "+ issue.key + " from Jira Cloud connected returned with status " + str(e.status_code)  + " and message " + e.text + " Skipping to next Issue ")
            continue
        r = requests.get('' + GLOBAL_onPremiseURL+ '/rest/raven/1.0/api/test/'+ issue.key +'/preconditions', auth=HTTPBasicAuth(GLOBAL_basic_auth_user, GLOBAL_basic_auth_pass))
        if r.text!="[]":
            json_data_pre = json.loads(r.text)
            for pre_cond in json_data_pre:
                composeKey=issue.key + ":" + pre_cond["key"] 
                if not ignoreList or (ignoreList and composeKey not in ignoreList) :
                    pre_cond_key = pre_cond["key"]
                    logging.info("Processing PreCondition..." +  pre_cond["key"])
                    precond = ""
                    try:
                        precond =  jiraCloud.issue(pre_cond["key"])
                    except JIRAError as e:
                        logging.error("Failed to retrieve pre condiction " + pre_cond["key"] + " for " + issue.key + " from Jira Cloud connected returned with status " + str(e.status_code)  + " and message " + e.text + " Skipping to next Condition ")
                        continue
                    if commandExecutionExceptions.export != None:
                        issuesScanned.append(composeKey)
                    mutation = addPreconditionsToTest(headers,cloudTest.id,precond.id,randomString(),mutation)
                    if commandExecutionExceptions.export != None and mutation == "":
                        ## Limit of mutation items has been reach and was push when adding to mutation
                        for item in issuesScanned:
                            fileExport.write("%s\n" % item)
                        issuesScanned.clear()
                else:
                        logging.info("Ignoring by user request : " + issue.key + " with " + pre_cond["key"] )
        keyStats.append(issue.key)
        timeStats.append(time.time()-startExec)
        count = count +1
        logging.info('Done ' + str(count) + ' of ' + str(issues.total) ) 
    packUpdateandSend(headers,GLOBAL_url_xray,mutation)
    mutation=""
    if commandExecutionExceptions.export != None:
        for item in issuesScanned:
            fileExport.write("%s\n" % item)
        issuesScanned.clear()
logging.info("======= Collecting INFO [END] =========")
logging.info('It took ' + str(time.time()-start) + 'seconds.')
logging.info("------------------- #####    End   ##### ------------------- ")
if keyStats:
    keysSeries = pd.Series(keyStats)
    timeSeries = pd.Series(timeStats)
    d = {'Key':keysSeries,
    'Time':timeSeries
    }
    pd.set_option('display.max_rows', None)
    df = pd.DataFrame(d)
    logging.info("------------------- #####    STATISTICS  - Full list  ##### ------------------- ")
    print (df)
    logging.info("------------------- #####    STATISTICS  - Aggregated data  ##### ------------------- ")

    print (df.describe())

if commandExecutionExceptions.export != None:
    fileExport.close()