fix: resolve all ruff linting errors across coach module

coach/coach_service.py

@@ -279,32 +279,32 @@ class CoachService:
             import anthropic
             anthropic_key = ANTHROPIC_API_KEY
             if not anthropic_key:
-                                raise ConnectionError("Anthropic API key not configured. Set ANTHROPIC_API_KEY env var.")
+                raise ConnectionError("Anthropic API key not configured. Set ANTHROPIC_API_KEY env var.")
             aclient = anthropic.AsyncAnthropic(api_key=anthropic_key)
-                 resp = await aclient.messages.create(
-                    model=ANTHROPIC_MODEL,
-                    system=system_prompt,
-                    messages=[{"role": "user", "content": user_prompt}],
-                    max_tokens=8192,
-                    temperature=0.7,
-                )
-                content = resp.content[0].text if resp.content else ""
-                usage = resp.usage
+            resp = await aclient.messages.create(
+                model=ANTHROPIC_MODEL,
+                system=system_prompt,
+                messages=[{"role": "user", "content": user_prompt}],
+                max_tokens=8192,
+                temperature=0.7,
+            )
+            content = resp.content[0].text if resp.content else ""
+            usage = resp.usage
 
-                # Build an LLMResponse-compatible object
-                from types import SimpleNamespace
-                llm_response = SimpleNamespace(
-                    content=content,
-                    model=resp.model,
-                    prompt_tokens=usage.input_tokens if usage else 0,
-                    completion_tokens=usage.output_tokens if usage else 0,
-                    parsed_json=None,
-                )
-                            try:
-                                        cleaned = re.sub(r'^```(?:json)?\s*', '', content.strip())
-                                        cleaned = re.sub(r'\s*```$', '', cleaned.strip())
-                                llm_response.parsed_json = json.loads(cleaned)
-                        except (json.JSONDecodeError, ValueError):
+            # Build an LLMResponse-compatible object
+            from types import SimpleNamespace
+            llm_response = SimpleNamespace(
+                content=content,
+                model=resp.model,
+                prompt_tokens=usage.input_tokens if usage else 0,
+                completion_tokens=usage.output_tokens if usage else 0,
+                parsed_json=None,
+            )
+            try:
+                cleaned = re.sub(r'^```(?:json)?\s*', '', content.strip())
+                cleaned = re.sub(r'\s*```$', '', cleaned.strip())
+                llm_response.parsed_json = json.loads(cleaned)
+            except (json.JSONDecodeError, ValueError):
                 # Try to find JSON object in the text
                 match = re.search(r'\{[\s\S]*\}', content)
                 if match:
@@ -313,7 +313,7 @@ class CoachService:
                     except json.JSONDecodeError:
                         pass
         else:
-                    llm_response = await self.llm.chat(system_prompt, user_prompt)
+            llm_response = await self.llm.chat(system_prompt, user_prompt)
 
         # 6. Parse response into CoachSession
         session_id = f"sess-{datetime.now(timezone.utc).strftime('%Y%m%d-%H%M%S')}-{uuid.uuid4().hex[:6]}"

coach/embeddings.py

@@ -21,7 +21,6 @@ import json
 import logging
 import re
 import os
-import time
 from pathlib import Path
 from typing import List, Optional, Tuple
 from urllib.request import urlopen, Request
@@ -331,7 +330,6 @@ class MTGEmbeddingIndex:
                     d = np.load(str(CUSTOM_CACHE_PATH), allow_pickle=True)
                     for n in d["names"]:
                         existing_names.add(n.lower())
-                    existing = dict(d)
                 except Exception:
                     pass
 

coach/models.py

@@ -5,7 +5,6 @@ Pydantic v2 models for deck reports, coach requests/responses,
 and coaching session persistence.
 """
 
-from datetime import datetime
 from typing import List, Optional, Dict
 from pydantic import BaseModel, Field
 

coach/prompt_template.py

@@ -6,7 +6,6 @@ Injects deck report data, underperformer analysis, and
 candidate replacement cards into a structured template.
 """
 
-import json
 from typing import List, Dict, Optional
 
 from .models import DeckReport, CoachGoals, CardPerformance

coach/prompts/deck_gen_user.py

@@ -5,7 +5,7 @@ Constructs the user message for Claude Opus deck generation
 from a DeckGenV3Request.
 """
 
-from typing import List, Optional
+from typing import List
 
 
 def build_user_prompt(
@@ -36,8 +36,8 @@ def build_user_prompt(
     ci_str = ", ".join(color_identity) if color_identity else "Unknown"
 
     lines = [
-        f"Build a complete 100-card Commander deck.",
-        f"",
+        "Build a complete 100-card Commander deck.",
+        "",
         f"COMMANDER: {commander}",
     ]