SurfSense/surfsense_backend/tests/e2e/fakes/jira_module.py
DESKTOP-RTLN3BA\$punk ab747e7a49 feat(agents): consolidate connectors under mcp_discovery; route web search through google_search
MCP consolidation:
- Route all MCP-capable connectors (Slack, Jira, Linear, ClickUp, Airtable,
  Notion, Confluence, interim Gmail/Calendar, custom MCP) through a single
  `mcp_discovery` subagent. Drive/OneDrive/Dropbox stay native to enrich the KB.
- Deprecate Discord/Teams/Luma: no viable official MCP server.

Google-only web search:
- Remove the main-agent `web_search` tool and the SearXNG platform service;
  all public web search now flows through the `google_search` subagent via task().
- Deprecate the Tavily/SearXNG/Linkup/Baidu search connectors (HTTP 410 on
  create, "Deprecated" badge); guide heavy users to the custom MCP connector.
- Remove web search from anonymous chat (pure Q&A).
- Tear SearXNG out of docker compose + install scripts; drop tavily-python
  and linkup-sdk deps and their config/env vars.

Fix:
- metrics._package_version() now swallows any metadata lookup failure. A
  malformed editable-install distribution with no `Version` field raised
  KeyError deep in importlib.metadata, and since it runs on every
  record_subagent_invoke_duration call it was crashing every task()
  delegation. Verified end-to-end against live GPT-5.4.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-04 21:06:04 -07:00

198 lines
7.4 KiB
Python

"""Strict Atlassian (Jira + Confluence) MCP OAuth/tool fakes for Playwright E2E.
Jira and Confluence share one hosted Atlassian Rovo MCP server
(``https://mcp.atlassian.com/v1/mcp``) and one OAuth surface. Because the MCP
OAuth/runtime dispatchers are keyed by URL, a single handler here serves both
connectors; production keeps their tool sets disjoint via each service's
``allowed_tools`` curation. The OAuth ``redirect_uri`` substring is therefore
relaxed to the shared ``/api/v1/auth/mcp/`` prefix so both the
``.../mcp/jira/...`` and ``.../mcp/confluence/...`` callbacks validate.
"""
from __future__ import annotations
import json
from pathlib import Path
from types import SimpleNamespace
from typing import Any
from tests.e2e.fakes import mcp_oauth_runtime, mcp_runtime
_FIXTURE_PATH = Path(__file__).parent / "fixtures" / "jira_issues.json"
_AUTHORIZATION_URL = "https://mcp.atlassian.com/v1/authorize"
_REGISTRATION_URL = "https://cf.mcp.atlassian.com/v1/register"
_TOKEN_URL = "https://cf.mcp.atlassian.com/v1/token"
_MCP_URL = "https://mcp.atlassian.com/v1/mcp"
_CLIENT_ID = "fake-jira-mcp-client-id"
_CLIENT_SECRET = "fake-jira-mcp-client-secret"
_ACCESS_TOKEN = "fake-jira-mcp-access-token"
_REFRESH_TOKEN = "fake-jira-mcp-refresh-token"
_OAUTH_CODE = "fake-jira-oauth-code"
# Confluence canary — keep in sync with FAKE_CONFLUENCE_PAGES /
# CANARY_TOKENS.confluenceCanary in surfsense_web/tests/helpers/canary.ts.
_CONFLUENCE_TOKEN = "SURFSENSE_E2E_CANARY_TOKEN_CONFLUENCE_001"
_CONFLUENCE_PAGE_ID = "fake-confluence-page-canary-001"
_CONFLUENCE_TITLE = "E2E Canary Confluence Page"
_CONFLUENCE_SPACE_ID = "fake-confluence-space-001"
def _load_fixture() -> dict[str, Any]:
with _FIXTURE_PATH.open() as f:
return json.load(f)
_FIXTURE = _load_fixture()
def _issue_text(issue: dict[str, Any]) -> str:
return (
f"{issue['key']} {issue['summary']}\n"
f"id: {issue['id']}\n"
f"description: {issue['description']}"
)
async def _list_tools() -> SimpleNamespace:
return SimpleNamespace(
tools=[
SimpleNamespace(
name="getAccessibleAtlassianResources",
description="Get Jira sites accessible to the authenticated Atlassian user.",
inputSchema={
"type": "object",
"properties": {},
"required": [],
},
),
SimpleNamespace(
name="searchJiraIssuesUsingJql",
description="Search Jira issues using a Jira Query Language expression.",
inputSchema={
"type": "object",
"properties": {
"jql": {
"type": "string",
"description": "JQL query used to search Jira issues.",
},
"maxResults": {
"type": "integer",
"description": "Maximum number of matching issues to return.",
},
},
"required": ["jql"],
},
),
SimpleNamespace(
name="searchConfluenceUsingCql",
description="Search Confluence content using a CQL expression.",
inputSchema={
"type": "object",
"properties": {
"cql": {
"type": "string",
"description": "CQL query used to search Confluence content.",
}
},
"required": ["cql"],
},
),
SimpleNamespace(
name="getConfluencePage",
description="Fetch a Confluence page's body by id.",
inputSchema={
"type": "object",
"properties": {
"pageId": {
"type": "string",
"description": "The Confluence page id to fetch.",
}
},
"required": ["pageId"],
},
),
]
)
async def _call_tool(
tool_name: str, arguments: dict[str, Any] | None = None
) -> SimpleNamespace:
arguments = arguments or {}
site = _FIXTURE["site"]
issue = _FIXTURE["issues"][0]
if tool_name == "getAccessibleAtlassianResources":
if arguments:
raise ValueError(
f"Unexpected Jira getAccessibleAtlassianResources args: {arguments!r}"
)
text = f"{site['name']}\ncloud_id: {site['cloud_id']}\nurl: {site['url']}"
return SimpleNamespace(content=[SimpleNamespace(text=text)])
if tool_name == "searchJiraIssuesUsingJql":
jql = str(arguments.get("jql", ""))
if (
issue["summary"].lower() not in jql.lower()
and issue["key"].lower() not in jql.lower()
):
raise ValueError(f"Unexpected Jira JQL query: {jql!r}")
text = _issue_text(issue)
return SimpleNamespace(content=[SimpleNamespace(text=text)])
if tool_name == "searchConfluenceUsingCql":
cql = str(arguments.get("cql", ""))
if _CONFLUENCE_TITLE.lower() not in cql.lower():
raise ValueError(f"Unexpected Confluence CQL query: {cql!r}")
text = (
f"{_CONFLUENCE_TITLE}\n"
f"id: {_CONFLUENCE_PAGE_ID}\n"
f"space: {_CONFLUENCE_SPACE_ID}\n"
f"excerpt: {_CONFLUENCE_TOKEN}"
)
return SimpleNamespace(content=[SimpleNamespace(text=text)])
if tool_name == "getConfluencePage":
page_id = str(arguments.get("pageId", ""))
if page_id != _CONFLUENCE_PAGE_ID:
raise ValueError(f"Unexpected Confluence page id: {page_id!r}")
text = f"{_CONFLUENCE_TITLE}\n\n{_CONFLUENCE_TOKEN}"
return SimpleNamespace(content=[SimpleNamespace(text=text)])
raise NotImplementedError(f"Unexpected Atlassian MCP tool call: {tool_name!r}")
def install(active_patches: list[Any]) -> None:
"""Register the shared Atlassian (Jira + Confluence) MCP handlers."""
del active_patches
mcp_oauth_runtime.register_service(
mcp_url=_MCP_URL,
discovery_metadata={
"issuer": "https://mcp.atlassian.com",
"authorization_endpoint": _AUTHORIZATION_URL,
"token_endpoint": _TOKEN_URL,
"registration_endpoint": _REGISTRATION_URL,
"code_challenge_methods_supported": ["S256"],
"grant_types_supported": ["authorization_code", "refresh_token"],
"response_types_supported": ["code"],
},
client_id=_CLIENT_ID,
client_secret=_CLIENT_SECRET,
token_endpoint=_TOKEN_URL,
registration_endpoint=_REGISTRATION_URL,
oauth_code=_OAUTH_CODE,
access_token=_ACCESS_TOKEN,
refresh_token=_REFRESH_TOKEN,
scope="read:jira-work read:confluence-content.all read:me write:jira-work",
# Shared Atlassian server serves both Jira and Confluence connectors, so
# accept either service's callback under the common MCP OAuth prefix.
redirect_uri_substring="/api/v1/auth/mcp/",
)
mcp_runtime.register(
url=_MCP_URL,
expected_bearer=_ACCESS_TOKEN,
list_tools=_list_tools,
call_tool=_call_tool,
)