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utils_jira.py
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utils_jira.py
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from atlassian import Jira
import re
import os
from datetime import datetime
from utils import load_json, save_json, load_pickle, save_pickle, export_csv
from nltk.tokenize import sent_tokenize
import logging
from logging.config import fileConfig
fileConfig('logging_config.ini')
logger = logging.getLogger(__name__)
def connect_jira():
config_file = "creds.json"
settings = load_json(config_file)
url = settings.get("atlassian",{}).get("url")
username = settings.get("atlassian",{}).get("username")
token = settings.get("atlassian",{}).get("token")
jira = Jira(
url=url,
username=username,
password=token)
return jira
def get_tickets(jira, jql):
issues = []
total = 0
start = 0
data = jira.jql(jql)
try:
while True:
start = len(issues)
data = jira.jql(jql, start=start, limit=100)
total = int(data.get("total", 0))
start = int(data.get("startAt", 0))
results = int(data.get("maxResults", 0))
issues.extend(data.get("issues", []))
print(total, start, results)
if len(issues) >= total:
break
except Exception as ex:
print(ex)
return issues
def process_ticket(item):
""" Extract fields from JIRA Issue JSON
=> Key
=> id
: fields
=> name
=> description
=> summary
: issuetype
+> name
=> subtask
: project
=> name
=> key
: status
=> name
"""
data = {}
data['key'] = item.get('key')
data['id'] = item.get('id')
data['name'] = item.get('fields', {}).get('name')
data['summary'] = item.get('fields', {}).get('summary')
data['description'] = item.get('fields', {}).get('description')
data['type'] = item.get('fields', {}).get('issuetype', {}).get('name')
data['subtask'] = item.get('fields', {}).get('issuetype', {}).get('subtask')
data['project'] = item.get('fields', {}).get('project', {}).get('name')
data['project key'] = item.get('fields', {}).get('project', {}).get('key')
data['status'] = item.get('fields', {}).get('project', {}).get('status')
return data
def parse_clause(sentences):
data = {}
data['pre'] = []
data['condition'] = []
data['result'] = []
data['notes'] = []
data['freq'] = []
state = 'pre'
for s in sentences:
re_title = re.compile('h[\d]{0,1}\.')
if '*IF*' in s:
state = 'condition'
if '*THEN*' in s:
state = 'result'
if re_title.search(s):
continue
if 'Triggering Condition' in s:
state = 'condition'
continue
if 'Business Implication' in s:
state = 'notes'
continue
if 'Frequency' in s:
state = 'freq'
continue
data[state].append(s)
return data
def extract_event(description):
data = []
# replace the newlines...
phrases = [p for p in description.split('\n') if p]
for p in phrases:
for s in sent_tokenize(p):
data.append(s)
return data
def filter_events(data, filename="events.csv"):
# process the description text for information
events = {}
for k,v in data.get('tickets', {}).items():
descr = v.get('description')
if descr:
sentences = extract_event(descr)
event = parse_clause(sentences)
if len(event.get('condition'))>0:
for f in ['name','summary', 'type', 'subtask', 'project', 'project key', 'status']:
event[f] = v.get(f)
events[k] = event
# export the events to a csv
rows = []
for k,v in events.items():
row = {}
row['key'] = k
for t, c in v.items():
if isinstance(c, list):
row[t] = '\n'.join(c)
else:
row[t] = c
rows.append(row)
export_csv(data=rows, filename=filename)
logger.info('Exported {} events'.format(len(rows)))
return events
def process_extract(config):
""" this will run the query specified in the config extract array
and save of the results to a pickle file
"""
logging.info("Running {}".format(config.get("name")))
folders = config.get("file", {}).get("location",{}).get("folders",[])
root = config.get("file", {}).get("location",{}).get("root","~")
folder = os.path.expanduser(os.path.join(root, *folders))
name = config.get("file", {}).get("location",{}).get("name","jira_utils")
pickle_name = os.path.join(folder, "{}.{}".format(name, config.get("file", {}).get("type","pickle")))
data = load_pickle(picklename=pickle_name)
if "tickets" not in data:
data['tickets'] = {}
jql = config.get("jql")
if not 'jql' in data:
data['jql'] = jql
logger.info("JQL: {}".format(jql))
# query jira and pull down the issues
runtime = datetime.now().strftime("%Y-%m-%d %H:%M%S")
file_name = os.path.join(folder, "{}_issues.json".format(name))
issues = load_json(file_name)
reload = True
if issues and issues.get("jql") == jql and len(issues.get('tickets',[])) > 0:
# we have a version of this query run already...
reload = False
if reload:
issues = {}
jira = connect_jira()
issues['jql'] = jql
issues['runtime'] = runtime
issues['tickets'] = get_tickets(jira, jql)
save_json(data=issues, file_name=file_name)
data['jql'] = jql
for ticket in issues.get("tickets"):
item = process_ticket(ticket)
key = item.get("key")
old_ticket = data.get("tickets",{}).get(key, None)
if old_ticket:
# check this ticket is current
# curently alway update
update_ticket = True
else:
update_ticket = True
if update_ticket:
data['tickets'][key] = item
logger.info("Processed {} tickets".format(len(data['tickets'])))
save_pickle(data=data, picklename=pickle_name)
if config.get("filter"):
filter_name = config.get("filter",{}).get("name","filter")
csv_name = os.path.join(folder, "{}.{}.csv".format(name, filter_name))
data[filter_name] = filter_events(data=data, filename=csv_name)
def main():
""" performs the defualt run of the program
"""
config_file = "utils_jira_config.json"
config = load_json(config_file)
for e in config.get("extracts", []):
process_extract(e)
if __name__ == "__main__":
main()