langchain/libs/community/langchain_community/utilities/jira.py

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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 21:53:30 +00:00
"""Util that calls Jira."""
from typing import Any, Dict, List, Optional
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
# TODO: think about error handling, more specific api specs, and jql/project limits
class JiraAPIWrapper(BaseModel):
"""Wrapper for Jira API."""
jira: Any #: :meta private:
confluence: Any
jira_username: Optional[str] = None
jira_api_token: Optional[str] = None
jira_instance_url: Optional[str] = None
class Config:
"""Configuration for this pydantic object."""
extra = Extra.forbid
@root_validator()
def validate_environment(cls, values: Dict) -> Dict:
"""Validate that api key and python package exists in environment."""
jira_username = get_from_dict_or_env(values, "jira_username", "JIRA_USERNAME")
values["jira_username"] = jira_username
jira_api_token = get_from_dict_or_env(
values, "jira_api_token", "JIRA_API_TOKEN"
)
values["jira_api_token"] = jira_api_token
jira_instance_url = get_from_dict_or_env(
values, "jira_instance_url", "JIRA_INSTANCE_URL"
)
values["jira_instance_url"] = jira_instance_url
try:
from atlassian import Confluence, Jira
except ImportError:
raise ImportError(
"atlassian-python-api is not installed. "
"Please install it with `pip install atlassian-python-api`"
)
jira = Jira(
url=jira_instance_url,
username=jira_username,
password=jira_api_token,
cloud=True,
)
confluence = Confluence(
url=jira_instance_url,
username=jira_username,
password=jira_api_token,
cloud=True,
)
values["jira"] = jira
values["confluence"] = confluence
return values
def parse_issues(self, issues: Dict) -> List[dict]:
parsed = []
for issue in issues["issues"]:
key = issue["key"]
summary = issue["fields"]["summary"]
created = issue["fields"]["created"][0:10]
priority = issue["fields"]["priority"]["name"]
status = issue["fields"]["status"]["name"]
try:
assignee = issue["fields"]["assignee"]["displayName"]
except Exception:
assignee = "None"
rel_issues = {}
for related_issue in issue["fields"]["issuelinks"]:
if "inwardIssue" in related_issue.keys():
rel_type = related_issue["type"]["inward"]
rel_key = related_issue["inwardIssue"]["key"]
rel_summary = related_issue["inwardIssue"]["fields"]["summary"]
if "outwardIssue" in related_issue.keys():
rel_type = related_issue["type"]["outward"]
rel_key = related_issue["outwardIssue"]["key"]
rel_summary = related_issue["outwardIssue"]["fields"]["summary"]
rel_issues = {"type": rel_type, "key": rel_key, "summary": rel_summary}
parsed.append(
{
"key": key,
"summary": summary,
"created": created,
"assignee": assignee,
"priority": priority,
"status": status,
"related_issues": rel_issues,
}
)
return parsed
def parse_projects(self, projects: List[dict]) -> List[dict]:
parsed = []
for project in projects:
id = project["id"]
key = project["key"]
name = project["name"]
type = project["projectTypeKey"]
style = project["style"]
parsed.append(
{"id": id, "key": key, "name": name, "type": type, "style": style}
)
return parsed
def search(self, query: str) -> str:
issues = self.jira.jql(query)
parsed_issues = self.parse_issues(issues)
parsed_issues_str = (
"Found " + str(len(parsed_issues)) + " issues:\n" + str(parsed_issues)
)
return parsed_issues_str
def project(self) -> str:
projects = self.jira.projects()
parsed_projects = self.parse_projects(projects)
parsed_projects_str = (
"Found " + str(len(parsed_projects)) + " projects:\n" + str(parsed_projects)
)
return parsed_projects_str
def issue_create(self, query: str) -> str:
try:
import json
except ImportError:
raise ImportError(
"json is not installed. Please install it with `pip install json`"
)
params = json.loads(query)
return self.jira.issue_create(fields=dict(params))
def page_create(self, query: str) -> str:
try:
import json
except ImportError:
raise ImportError(
"json is not installed. Please install it with `pip install json`"
)
params = json.loads(query)
return self.confluence.create_page(**dict(params))
def other(self, query: str) -> str:
try:
import json
except ImportError:
raise ImportError(
"json is not installed. Please install it with `pip install json`"
)
params = json.loads(query)
jira_function = getattr(self.jira, params["function"])
return jira_function(*params.get("args", []), **params.get("kwargs", {}))
def run(self, mode: str, query: str) -> str:
if mode == "jql":
return self.search(query)
elif mode == "get_projects":
return self.project()
elif mode == "create_issue":
return self.issue_create(query)
elif mode == "other":
return self.other(query)
elif mode == "create_page":
return self.page_create(query)
else:
raise ValueError(f"Got unexpected mode {mode}")