-
Notifications
You must be signed in to change notification settings - Fork 194
/
JIRA_hackGPT.py
150 lines (123 loc) · 5.18 KB
/
JIRA_hackGPT.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from dotenv import load_dotenv
import sys
import fade
from pathlib import Path
import openai
from time import sleep
import os
import fade
from pathlib import Path
import openai
import requests
import urllib.parse
import urllib.request
import openai
from dotenv import load_dotenv
import gradio as gr
import pandas as pd
import matplotlib.pyplot as plt
import json
import csv
import datetime
import argparse
from prettytable.colortable import ColorTable, Themes
from prettytable import from_csv
from jira import JIRA
# Load API key from an environment variable or secret management service
load_dotenv(".env")
apiToken = os.environ.get('OPENAI_TOKEN')
jira_token = os.environ.get('JIRA_TOKEN')
openai.api_key = apiToken
if 'OPENAI_TOKEN' in os.environ:
openai_token = os.environ['OPENAI_TOKEN']
elif 'JIRA_USER' in os.environ:
jira_pass = os.environ['JIRA_TOKEN']
else:
error='''
* ) ) (
`( ( /(( ( ( )\
)\( )\())\ ( )\))( ((((_)
((_)\ (_))((_) )\ ) (( ))\ )\)
8"""" 8"""8 8"""8 8"""88 8"""8
8 8 8 8 8 8 8 8 8
8eeee 8eee8e 8eee8e 8 8 8eee8e
88 88 8 88 8 8 8 88 8
88 88 8 88 8 8 8 88 8
88eee 88 8 88 8 8eeee8 88 8
\033[1;33mAttempting to Set OpenAI and JIRA system variable with API key.'''
fadederror = fade.fire(error)
print(fadederror)
Path(".env").touch()
setting_token = open(".env", "a")
userkey = input('Enter OpenAI API Key: ').replace(" ","")
setting_token.write("OPENAI_TOKEN="+'"'+userkey+'"\n')
#https://id.atlassian.com/manage-profile/security/api-tokens
jiratoken = input('Enter JIRA Token: ').replace(" ","")
setting_token.write("JIRA_TOKEN="+'"'+jiratoken+'"\n')
date_string = datetime.datetime.now()
load_dotenv()
apiToken = os.environ.get("OPENAI_TOKEN")
headers = {
"Accept": "application/json; charset=utf-8",
"Authorization": "Token" + str(apiToken)
}
if 'OPENAI_TOKEN' in os.environ:
pass
else:
os.environ['OPENAI_TOKEN'] = input('Enter API Key: ').replace(" ","")
token = os.environ.get("OPENAI_TOKEN")
hack= "\n"*7 + r"""
|¯¯¯¯| |¯¯¯¯| '/¯¯¯/.\¯¯¯\‚ '/¯¯¯¯/\¯¯¯¯\ |¯¯¯¯| |¯¯¯¯|
|:·.·|_|:·.·| |:·.·|_|:·.·| |:·.·| |____| |:·.·|./____/
|:·.·|¯|:·.·| |:·.·|¯|:·.·| |:·.·|__|¯¯¯¯| |:·.·|.\¯¯¯¯\
|____| |____| |____|:|____| \__ _\/____/ |____| |_____|
""" + "\n"*12
gpt = "\n"*4 +r"""
______ _______ ________
/ \| \| \
| ▓▓▓▓▓▓\ ▓▓▓▓▓▓▓\\▓▓▓▓▓▓▓▓
| ▓▓ __\▓▓ ▓▓__/ ▓▓ | ▓▓
| ▓▓| \ ▓▓ ▓▓ | ▓▓
| ▓▓ \▓▓▓▓ ▓▓▓▓▓▓▓ | ▓▓
| ▓▓__| ▓▓ ▓▓ | ▓▓
\▓▓ ▓▓ ▓▓ | ▓▓
\▓▓▓▓▓▓ \▓▓ \▓▓
"""
fadedhack = fade.water(hack)
fadedgpt = fade.random(gpt)
for pair in zip(*map(str.splitlines, (fadedhack, fadedgpt))):
print(*pair)
# Authenticate with JIRA
#jira_url = input("Enter JIRA URL: ")
jira_options = {'server': 'YOUR_JIRA_URL'}
jira = JIRA(options=jira_options, basic_auth=('YOUR_JIRA_EMAIL', 'YOUR_JIRA_TOKEN'))
issues = jira.search_issues('type = bug ')
for issue in issues:
ticket = fade.brazil("JIRA Ticket Summary: ")
summary = fade.water(issue.fields.summary)
description = fade.water(issue.fields.description)
des_summary = fade.brazil("Issue description: ")
print(ticket.rstrip('\n') + summary)
print(des_summary.rstrip('\n'))
print(description)
prompt = f"Fix the following issue: {issue.fields.description}"
model_engine = "davinci"
completions = openai.Completion.create(
engine=model_engine,
prompt=prompt,
max_tokens=1024,
n=1,
stop=None,
temperature=0.7,
)
solution = fade.brazil("Genrating solution and adding to : ")
print (solution)
print("Sample: " + completions.choices[0].text[:40])
response = completions.choices[0].text
jira.add_comment(issue.key, response)
#with open('output/JIRA_hackGPT_log.csv', 'a+', encoding='UTF8', newline='') as f:
# w = csv.writer(f, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
# w.writerow([date_string, {issue.fields.description}, str(response).lstrip('\n')])
# f.close()