refactor: enforce PLC0415 (import-outside-top-level) for source code

Enable ruff PLC0415 rule for all source files (tests excluded via
per-file-ignores). Move 136 inline imports to top-level across 33 files.
8 imports suppressed with noqa for legitimate reasons: circular
dependencies (client/__init__.py, context.py), optional dependency
guards (app.py document processors, auth/userinfo_routes.py), and
post-env-setup imports (smithery_main.py).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Chris Coutinho
2026-02-20 08:04:50 +01:00
co-authored by Claude Opus 4.6
parent 81efa6e263
commit a11ae9c027
32 changed files with 157 additions and 348 deletions
+6 -13
View File
@@ -18,16 +18,22 @@ from pathlib import Path
import anyio
import numpy as np
from jinja2 import Environment, FileSystemLoader
from qdrant_client.models import FieldCondition, Filter, MatchValue
from starlette.authentication import requires
from starlette.requests import Request
from starlette.responses import HTMLResponse, JSONResponse
from nextcloud_mcp_server.auth.userinfo_routes import (
_get_authenticated_client_for_userinfo,
)
from nextcloud_mcp_server.config import get_settings
from nextcloud_mcp_server.embedding.service import get_embedding_service
from nextcloud_mcp_server.observability.tracing import trace_operation
from nextcloud_mcp_server.search import (
BM25HybridSearchAlgorithm,
SemanticSearchAlgorithm,
)
from nextcloud_mcp_server.search.context import get_chunk_with_context
from nextcloud_mcp_server.vector.pca import PCA
from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
@@ -137,10 +143,6 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
# Get authenticated HTTP client from session
# In BasicAuth mode: uses username/password from session
# In OAuth mode: uses access token from session
from nextcloud_mcp_server.auth.userinfo_routes import (
_get_authenticated_client_for_userinfo,
)
with trace_operation("vector_viz.get_auth_client"):
auth_client_ctx = await _get_authenticated_client_for_userinfo(request)
@@ -353,8 +355,6 @@ async def vector_visualization_search(request: Request) -> JSONResponse:
)
else:
# Fallback: generate embedding if not available from search
from nextcloud_mcp_server.embedding.service import get_embedding_service
embedding_service = get_embedding_service()
query_embedding = await embedding_service.embed(query)
logger.info(f"Generated query embedding (dimension={len(query_embedding)})")
@@ -555,11 +555,6 @@ async def chunk_context_endpoint(request: Request) -> JSONResponse:
doc_id_int = int(doc_id)
# Get authenticated Nextcloud client
from nextcloud_mcp_server.auth.userinfo_routes import (
_get_authenticated_client_for_userinfo,
)
from nextcloud_mcp_server.search.context import get_chunk_with_context
# Use context expansion module to fetch chunk with surrounding context
async with await _get_authenticated_client_for_userinfo(request) as nc_client:
chunk_context = await get_chunk_with_context(
@@ -594,8 +589,6 @@ async def chunk_context_endpoint(request: Request) -> JSONResponse:
page_number = None
if doc_type == "file":
try:
from qdrant_client.models import FieldCondition, Filter, MatchValue
settings = get_settings()
qdrant_client = await get_qdrant_client()
username = request.user.display_name