style: Format files with ruff

Author: JoshDoesIT

src/ctrlmap/llm/client.py

@@ -417,9 +417,7 @@ async def evaluate_chunks_batch_async(
         template = load_prompt("batch_evaluation.txt")
 
         # Build numbered chunk listing
-        numbered_chunks = "\n".join(
-            f"### Chunk {i}\n{text}" for i, text in enumerate(chunk_texts)
-        )
+        numbered_chunks = "\n".join(f"### Chunk {i}\n{text}" for i, text in enumerate(chunk_texts))
 
         prompt = template.format(
             control_text=control_text,

src/ctrlmap/map/enrichment.py

@@ -123,9 +123,7 @@ async def _enrich_async(
         _process_one_control(r, llm_client, fast_client, semaphore) for r in results
     ]
     meta_flags = await asyncio.gather(*per_control_tasks)
-    console.print(
-        f"[dim]  Step 1+2 (evaluate + classify): {time.monotonic() - t0:.1f}s[/]"
-    )
+    console.print(f"[dim]  Step 1+2 (evaluate + classify): {time.monotonic() - t0:.1f}s[/]")
 
     meta_ids = {results[i].control.control_id for i, is_meta in enumerate(meta_flags) if is_meta}
 
@@ -137,21 +135,15 @@ async def _enrich_async(
             f"[bold blue]LLM:[/] Generating {gap_count} gap rationales ({DEFAULT_FAST_MODEL})..."
         )
         await _step_generate_gaps(results, fast_client, semaphore)
-        console.print(
-            f"[dim]  Step 3 (gap rationales): {time.monotonic() - t1:.1f}s[/]"
-        )
+        console.print(f"[dim]  Step 3 (gap rationales): {time.monotonic() - t1:.1f}s[/]")
 
     # Step 4: Resolve meta-requirements via sibling aggregation (no LLM)
     t2 = time.monotonic()
     console.print("[bold blue]LLM:[/] Resolving meta-requirements...")
     resolved = resolve_meta_requirements(results=results, meta_control_ids=meta_ids)
-    console.print(
-        f"[dim]  Step 4 (meta-resolution): {time.monotonic() - t2:.1f}s[/]"
-    )
+    console.print(f"[dim]  Step 4 (meta-resolution): {time.monotonic() - t2:.1f}s[/]")
 
-    console.print(
-        f"[bold green]Pipeline total:[/] {time.monotonic() - pipeline_start:.1f}s"
-    )
+    console.print(f"[bold green]Pipeline total:[/] {time.monotonic() - pipeline_start:.1f}s")
 
     if cache is not None:
         stats = cache.stats()

tests/unit/test_ollama_client.py

@@ -594,9 +594,7 @@ async def test_evaluate_chunks_batch_async_falls_back_on_invalid_json(self) -> N
         with patch("ctrlmap.llm.client.ollama.AsyncClient") as mock_async_cls:
             mock_instance = MagicMock()
             mock_instance.chat = AsyncMock(
-                return_value=MagicMock(
-                    message=MagicMock(content="This is not valid JSON at all")
-                )
+                return_value=MagicMock(message=MagicMock(content="This is not valid JSON at all"))
             )
             mock_async_cls.return_value = mock_instance