Ruff-Cleanup: ganzes MC2-Repo lint-grün + projekt-passende ruff.toml

Die Ampel-Nachruestung deckte 317/337 vorbestehende ruff-Verstoesse im ganzen Repo
auf. Aufgeraeumt:
- ruff.toml: intentionale Muster als Projekt-Politik ausgenommen (BLE001 blind-except,
  S110/S112 try-except-pass/continue, PLW1510 subprocess-best-effort, B008 FastAPI-
  Depends/File-Idiom, EXE001 Shebang, + wenige Stil-Regeln). __init__.py-Re-Exports
  geschuetzt (F401).
- ruff --fix: 128 mechanische (Import-Sortierung, PEP585/604-Annotationen, tote Imports,
  ueberfluessige noqa) auto-behoben.
- 12 echte Reste von Hand: PERF402/102, PLC3002 (Lambda->walrus), ISC004 (String-Concat
  geklammert), F841/RUF059 (ungenutzte Vars), PIE810 (startswith-Tuple), UP031 (f-string),
  UP035 (veraltete typing-Imports).
Ergebnis: 'ruff check .' = 0, 'compileall' grün. Kein Verhaltenswechsel (nur Stil/Modernisierung).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

deploy/agent-hooks/tabu-pfade-guard.py

@@ -20,7 +20,10 @@ nur Schreib-Operationen.
 
 Ausgabe {"action":"block","message":...} = Tool geblockt; {} = durchlassen.
 """
-import sys, json, os, re
+import json
+import os
+import re
+import sys
 
 
 def out(obj):

deploy/ensure-profile-hooks.py

@@ -15,10 +15,10 @@ verschlucken und den Tabu-Guard lautlos deaktivieren.
 Idempotent + validiert + Backup. Anker fuer neue Event-Bloecke ist der bestehende
 `pre_verify`-Block. Arg: Pfad zur Profil-config.yaml.
 """
-import sys
-import os
 import datetime
+import os
 import shutil
+import sys
 
 try:
     import yaml

deploy/governor/driver.py

@@ -44,7 +44,7 @@ def main() -> int:
     try:
         coder.summarizer.max_tokens = 10 ** 9
         print(f"[driver] summarizer.max_tokens -> {coder.summarizer.max_tokens}", flush=True)
-    except Exception as exc:  # noqa: BLE001
+    except Exception as exc:
         print(f"[driver] WARN konnte summarizer nicht abschalten: {exc}", flush=True)
 
     for i, msg in enumerate(messages, 1):
@@ -52,7 +52,7 @@ def main() -> int:
         print(f">> {msg[:140]}", flush=True)
         try:
             coder.run(with_message=msg)
-        except Exception as exc:  # noqa: BLE001
+        except Exception as exc:
             print(f"[driver] TURN {i} Fehler: {exc!r}", flush=True)
             break
         sent = getattr(coder, "total_tokens_sent", "?")

deploy/governor/governor.py

@@ -153,7 +153,7 @@ def _post_announce(est) -> None:
         resp.read()
         conn.close()
         log(f"ANNOUNCE -> Lucy status={resp.status} est={est}")
-    except Exception as exc:  # noqa: BLE001
+    except Exception as exc:
         log(f"ANNOUNCE fehlgeschlagen: {exc!r}")
 
 
@@ -383,7 +383,7 @@ class Handler(BaseHTTPRequestHandler):
             return None
         try:
             text = tail.decode("utf-8", errors="ignore")
-        except Exception:  # noqa: BLE001
+        except Exception:
             return None
         matches = _PROMPT_TOKENS_RE.findall(text)
         if not matches:

deploy/hermes-patches/apply.py

@@ -234,8 +234,8 @@ def main() -> int:
             continue
         n = src.count(p["old"])
         if n != 1:
-            failed.append((p["name"], f"erwartete 1 Vorkommen von old, fand {n} "
-                                      "(Update hat den Kontext geaendert?)"))
+            failed.append((p["name"], (f"erwartete 1 Vorkommen von old, fand {n} "
+                                       "(Update hat den Kontext geaendert?)")))
             continue
         f.write_text(src.replace(p["old"], p["new"]), encoding="utf-8")
         try:

deploy/hermes-patches/mc2_kanban_reaper.py

@@ -23,7 +23,7 @@ import sys
 _TASK_RE = re.compile(rb"work kanban task (t_[0-9a-fA-F]+)")
 
 
-def reap_orphaned_workers(connect_closing) -> "list[tuple[int, str]]":
+def reap_orphaned_workers(connect_closing) -> list[tuple[int, str]]:
     """Beende lebende Kanban-Worker, deren Task nicht mehr ``running`` ist.
 
     ``connect_closing`` ist die gleichnamige Kontextmanager-Factory aus
@@ -32,7 +32,7 @@ def reap_orphaned_workers(connect_closing) -> "list[tuple[int, str]]":
     """
     if sys.platform != "linux":
         return []
-    candidates: "dict[int, str]" = {}
+    candidates: dict[int, str] = {}
     try:
         entries = os.listdir("/proc")
     except OSError:
@@ -53,7 +53,7 @@ def reap_orphaned_workers(connect_closing) -> "list[tuple[int, str]]":
 
     task_ids = list(set(candidates.values()))
     placeholders = ",".join("?" * len(task_ids))
-    running: "set[str]" = set()
+    running: set[str] = set()
     try:
         with connect_closing() as conn:
             running = {
@@ -67,7 +67,7 @@ def reap_orphaned_workers(connect_closing) -> "list[tuple[int, str]]":
     except Exception:
         return []
 
-    killed: "list[tuple[int, str]]" = []
+    killed: list[tuple[int, str]] = []
     for pid, task_id in candidates.items():
         if task_id in running:
             continue

deploy/pruefstand/harness.py

@@ -84,7 +84,7 @@ def norm(s):
 
 def code_block(text, sprache="python"):
     """Letzten passenden Code-Block extrahieren; ohne Zaun: ganzen Text nehmen."""
-    bloecke = re.findall(r"```(?:%s)?\s*\n(.*?)```" % re.escape(sprache),
+    bloecke = re.findall(rf"```(?:{re.escape(sprache)})?\s*\n(.*?)```",
                          text or "", re.DOTALL | re.IGNORECASE)
     if bloecke:
         return bloecke[-1]
@@ -469,7 +469,7 @@ def suite_speed(cfg, ergebnisse):
     # Kurz-Probe: misst tg (Alltags-Turn) — 2 Läufe, erster wärmt den Cache an.
     for lauf in ("warm", "kurz"):
         t0 = time.time()
-        msg, tim, err = api_chat(cfg.endpoint, cfg.model, [
+        _msg, tim, err = api_chat(cfg.endpoint, cfg.model, [
             {"role": "user", "content":
                 "Erkläre in drei kurzen Sätzen, was ein Mixture-of-Experts-Modell "
                 "ist."}], max_tokens=200, temperature=0)
@@ -487,7 +487,7 @@ def suite_speed(cfg, ergebnisse):
         return
     lang = LANG_BAUSTEIN * 550
     t0 = time.time()
-    msg, tim, err = api_chat(cfg.endpoint, cfg.model, [
+    _msg, tim, err = api_chat(cfg.endpoint, cfg.model, [
         {"role": "user", "content":
             lang + "\n\nWie oft steht sinngemäß derselbe Satz oben? Antworte in "
                    "einem Satz."}], max_tokens=80, temperature=0, timeout=900)