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65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
from typing import List
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from llama_index.readers.base import BaseReader
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from llama_index.readers.schema.base import Document
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class JiraReader(BaseReader):
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"""Jira reader. Reads data from Jira issues from passwed query.
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Args:
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email (str): Jira email.
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api_token (str): Jira API token.
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server_url (str): Jira server url.
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"""
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def __init__(self, email: str, api_token: str, server_url: str) -> None:
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from jira import JIRA
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self.jira = JIRA(
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basic_auth=(email, api_token),
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server=f'https://{server_url}'
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)
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def load_data(self, query: str) -> List[Document]:
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relevant_issues = self.jira.search_issues(query)
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issues = []
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for issue in relevant_issues:
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assignee = ''
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reporter = ''
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epic = ''
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if issue.fields.assignee:
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assignee = issue.fields.assignee.displayName
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if issue.fields.reporter:
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reporter = issue.fields.reporter.displayName
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if issue.raw['fields']['customfield_10009']['showField']:
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epic = issue.raw['fields']['customfield_10009']['data']['summary']
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issues.append(
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Document(
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issue.fields.summary + " " + issue.fields.description,
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extra_info={
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'id': issue.id,
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'title': issue.fields.summary,
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'url': issue.permalink(),
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'created_at': issue.fields.created,
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'updated_at': issue.fields.updated,
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'labels': issue.fields.labels,
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'status': issue.fields.status.name,
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'assignee': assignee,
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'reporter': reporter,
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'project': issue.fields.project.name,
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'issue_type': issue.fields.issuetype.name,
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'priority': issue.fields.priority.name,
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'epic': epic
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}
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)
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)
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return issues
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