feat: code quality audit + autoresearch integration + infra hardening (#150)

src/spark/memory.py

@@ -28,25 +28,27 @@ IMPORTANCE_HIGH = 0.8
 @dataclass
 class SparkEvent:
     """A single captured swarm event."""
+
     id: str
-    event_type: str          # task_posted, bid, assignment, completion, failure
+    event_type: str  # task_posted, bid, assignment, completion, failure
     agent_id: Optional[str]
     task_id: Optional[str]
     description: str
-    data: str                # JSON payload
-    importance: float        # 0.0–1.0
+    data: str  # JSON payload
+    importance: float  # 0.0–1.0
     created_at: str
 
 
 @dataclass
 class SparkMemory:
     """A consolidated memory distilled from event patterns."""
+
     id: str
-    memory_type: str         # pattern, insight, anomaly
-    subject: str             # agent_id or "system"
-    content: str             # Human-readable insight
-    confidence: float        # 0.0–1.0
-    source_events: int       # How many events contributed
+    memory_type: str  # pattern, insight, anomaly
+    subject: str  # agent_id or "system"
+    content: str  # Human-readable insight
+    confidence: float  # 0.0–1.0
+    source_events: int  # How many events contributed
     created_at: str
     expires_at: Optional[str]
 
@@ -83,24 +85,17 @@ def _get_conn() -> sqlite3.Connection:
         )
         """
     )
-    conn.execute(
-        "CREATE INDEX IF NOT EXISTS idx_events_type ON spark_events(event_type)"
-    )
-    conn.execute(
-        "CREATE INDEX IF NOT EXISTS idx_events_agent ON spark_events(agent_id)"
-    )
-    conn.execute(
-        "CREATE INDEX IF NOT EXISTS idx_events_task ON spark_events(task_id)"
-    )
-    conn.execute(
-        "CREATE INDEX IF NOT EXISTS idx_memories_subject ON spark_memories(subject)"
-    )
+    conn.execute("CREATE INDEX IF NOT EXISTS idx_events_type ON spark_events(event_type)")
+    conn.execute("CREATE INDEX IF NOT EXISTS idx_events_agent ON spark_events(agent_id)")
+    conn.execute("CREATE INDEX IF NOT EXISTS idx_events_task ON spark_events(task_id)")
+    conn.execute("CREATE INDEX IF NOT EXISTS idx_memories_subject ON spark_memories(subject)")
     conn.commit()
     return conn
 
 
 # ── Importance scoring ──────────────────────────────────────────────────────
 
+
 def score_importance(event_type: str, data: dict) -> float:
     """Compute importance score for an event (0.0–1.0).
 
@@ -132,6 +127,7 @@ def score_importance(event_type: str, data: dict) -> float:
 
 # ── Event recording ─────────────────────────────────────────────────────────
 
+
 def record_event(
     event_type: str,
     description: str,
@@ -142,6 +138,7 @@ def record_event(
 ) -> str:
     """Record a swarm event.  Returns the event id."""
     import json
+
     event_id = str(uuid.uuid4())
     now = datetime.now(timezone.utc).isoformat()
 
@@ -224,6 +221,7 @@ def count_events(event_type: Optional[str] = None) -> int:
 
 # ── Memory consolidation ───────────────────────────────────────────────────
 
+
 def store_memory(
     memory_type: str,
     subject: str,