mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +00:00
ed58eeb9c5
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
175 lines
6.0 KiB
Python
175 lines
6.0 KiB
Python
"""Util that calls Jira."""
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from typing import Any, Dict, List, Optional
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from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
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from langchain_core.utils import get_from_dict_or_env
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# TODO: think about error handling, more specific api specs, and jql/project limits
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class JiraAPIWrapper(BaseModel):
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"""Wrapper for Jira API."""
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jira: Any #: :meta private:
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confluence: Any
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jira_username: Optional[str] = None
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jira_api_token: Optional[str] = None
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jira_instance_url: Optional[str] = None
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key and python package exists in environment."""
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jira_username = get_from_dict_or_env(values, "jira_username", "JIRA_USERNAME")
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values["jira_username"] = jira_username
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jira_api_token = get_from_dict_or_env(
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values, "jira_api_token", "JIRA_API_TOKEN"
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)
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values["jira_api_token"] = jira_api_token
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jira_instance_url = get_from_dict_or_env(
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values, "jira_instance_url", "JIRA_INSTANCE_URL"
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)
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values["jira_instance_url"] = jira_instance_url
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try:
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from atlassian import Confluence, Jira
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except ImportError:
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raise ImportError(
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"atlassian-python-api is not installed. "
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"Please install it with `pip install atlassian-python-api`"
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)
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jira = Jira(
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url=jira_instance_url,
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username=jira_username,
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password=jira_api_token,
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cloud=True,
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)
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confluence = Confluence(
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url=jira_instance_url,
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username=jira_username,
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password=jira_api_token,
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cloud=True,
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)
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values["jira"] = jira
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values["confluence"] = confluence
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return values
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def parse_issues(self, issues: Dict) -> List[dict]:
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parsed = []
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for issue in issues["issues"]:
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key = issue["key"]
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summary = issue["fields"]["summary"]
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created = issue["fields"]["created"][0:10]
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priority = issue["fields"]["priority"]["name"]
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status = issue["fields"]["status"]["name"]
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try:
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assignee = issue["fields"]["assignee"]["displayName"]
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except Exception:
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assignee = "None"
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rel_issues = {}
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for related_issue in issue["fields"]["issuelinks"]:
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if "inwardIssue" in related_issue.keys():
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rel_type = related_issue["type"]["inward"]
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rel_key = related_issue["inwardIssue"]["key"]
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rel_summary = related_issue["inwardIssue"]["fields"]["summary"]
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if "outwardIssue" in related_issue.keys():
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rel_type = related_issue["type"]["outward"]
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rel_key = related_issue["outwardIssue"]["key"]
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rel_summary = related_issue["outwardIssue"]["fields"]["summary"]
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rel_issues = {"type": rel_type, "key": rel_key, "summary": rel_summary}
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parsed.append(
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{
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"key": key,
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"summary": summary,
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"created": created,
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"assignee": assignee,
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"priority": priority,
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"status": status,
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"related_issues": rel_issues,
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}
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)
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return parsed
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def parse_projects(self, projects: List[dict]) -> List[dict]:
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parsed = []
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for project in projects:
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id = project["id"]
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key = project["key"]
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name = project["name"]
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type = project["projectTypeKey"]
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style = project["style"]
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parsed.append(
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{"id": id, "key": key, "name": name, "type": type, "style": style}
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)
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return parsed
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def search(self, query: str) -> str:
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issues = self.jira.jql(query)
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parsed_issues = self.parse_issues(issues)
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parsed_issues_str = (
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"Found " + str(len(parsed_issues)) + " issues:\n" + str(parsed_issues)
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)
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return parsed_issues_str
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def project(self) -> str:
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projects = self.jira.projects()
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parsed_projects = self.parse_projects(projects)
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parsed_projects_str = (
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"Found " + str(len(parsed_projects)) + " projects:\n" + str(parsed_projects)
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)
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return parsed_projects_str
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def issue_create(self, query: str) -> str:
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try:
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import json
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except ImportError:
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raise ImportError(
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"json is not installed. Please install it with `pip install json`"
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)
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params = json.loads(query)
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return self.jira.issue_create(fields=dict(params))
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def page_create(self, query: str) -> str:
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try:
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import json
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except ImportError:
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raise ImportError(
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"json is not installed. Please install it with `pip install json`"
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)
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params = json.loads(query)
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return self.confluence.create_page(**dict(params))
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def other(self, query: str) -> str:
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try:
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import json
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except ImportError:
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raise ImportError(
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"json is not installed. Please install it with `pip install json`"
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)
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params = json.loads(query)
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jira_function = getattr(self.jira, params["function"])
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return jira_function(*params.get("args", []), **params.get("kwargs", {}))
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def run(self, mode: str, query: str) -> str:
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if mode == "jql":
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return self.search(query)
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elif mode == "get_projects":
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return self.project()
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elif mode == "create_issue":
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return self.issue_create(query)
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elif mode == "other":
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return self.other(query)
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elif mode == "create_page":
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return self.page_create(query)
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else:
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raise ValueError(f"Got unexpected mode {mode}")
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