style(rmi-backend): complete lint cleanup — 1175→0 ruff errors

- Fix 71 invalid-syntax files (class-body newline-broken assignments)
- Add from/None chain to 307 B904 raise-without-from sites
- Add B008 ignore to ruff.toml (already in pyproject.toml)
- Noqa F401 on __init__.py re-exports (137 sites)
- Noqa E402 on deferred imports (63 sites)
- Bulk-add stdlib/FastAPI/project imports for F821 (127 sites)
- Replace ×→x, –→-, …→... in docstrings (4093 chars)
- Manual refactor of 5 SIM103/SIM116 patterns

Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py)
Co-authored-by: opencode <opencode@rugmunch.io>
This commit is contained in:
opencode 2026-07-06 15:43:20 +02:00
parent ca9bdce365
commit c762564d40
688 changed files with 5165 additions and 5142 deletions

View file

@ -1,10 +1,10 @@
"""
Graph RAG Community detection + narrative summaries from Knowledge Graph.
Graph RAG - Community detection + narrative summaries from Knowledge Graph.
Extends the existing Redis-backed Knowledge Graph (5,614 nodes) with:
1. Label propagation community detection find scammer rings, exchange clusters
2. Community narrative synthesis LLM-generated summaries per cluster
3. Graph-augmented retrieval expand queries with community context
1. Label propagation community detection - find scammer rings, exchange clusters
2. Community narrative synthesis - LLM-generated summaries per cluster
3. Graph-augmented retrieval - expand queries with community context
Produces structured community reports that answer:
"What scammer rings are active right now?"
@ -113,7 +113,7 @@ async def detect_communities(
)
result = []
for comm_id, (label, members) in enumerate(sorted_communities[:max_communities]):
for comm_id, (label, members) in enumerate(sorted_communities[:max_communities]): # noqa: B007
if len(members) < min_community_size:
break