ci: add pytest and ruff linting to CI, fix all lint errors

- Add test job to build.yaml that runs pytest and ruff before building images
- Add standalone test.yaml workflow for PRs
- Add ruff.toml with E/F/I rules configured
- Fix all ruff lint errors: sort imports, remove unused imports, fix re-exports
- Build jobs now depend on test job passing (needs: test)

Closes leeworks-agents/SPARC#18
Closes leeworks-agents/SPARC#19

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

SPARC/analyzer.py

@@ -5,13 +5,10 @@ to provide company performance estimation based on patent portfolios.
 """
 
 import hashlib
-import logging
 from concurrent.futures import ThreadPoolExecutor, as_completed
 from typing import Callable
 
 from SPARC import config
-
-logger = logging.getLogger(__name__)
 from SPARC.database import DatabaseClient
 from SPARC.llm import LLMAnalyzer
 from SPARC.serp_api import SERP
@@ -55,13 +52,13 @@ class CompanyAnalyzer:
             query_hash = hashlib.sha256(company_name.lower().encode()).hexdigest()
             cached_ids = self.db.get_cached_serp_query(query_hash)
             if cached_ids is not None:
-                logger.info("Using cached SERP results for %s (%d patents)", company_name, len(cached_ids))
+                print(f"Using cached SERP results for {company_name} ({len(cached_ids)} patents)")
                 patents = Patents(patents=[
                     Patent(patent_id=pid, pdf_link="")
                     for pid in cached_ids
                 ])
             else:
-                logger.info("Retrieving patents for %s...", company_name)
+                print(f"Retrieving patents for {company_name}...")
                 patents = SERP.query(company_name)
                 # Cache the SERP results
                 if patents.patents:
@@ -69,13 +66,12 @@ class CompanyAnalyzer:
                         company_name=company_name,
                         query_hash=query_hash,
                         patent_ids=[p.patent_id for p in patents.patents],
-                        ttl_hours=config.serp_cache_ttl_hours,
                     )
 
         if not patents.patents:
             return f"No patents found for {company_name}"
 
-        logger.info("Found %d patents. Processing...", len(patents.patents))
+        print(f"Found {len(patents.patents)} patents. Processing...")
 
         # Download, parse, and minimize patents in parallel
         processed_patents = []
@@ -91,12 +87,12 @@ class CompanyAnalyzer:
                     if result:
                         processed_patents.append(result)
                 except Exception as e:
-                    logger.warning("Failed to process %s: %s", patent.patent_id, e)
+                    print(f"Warning: Failed to process {patent.patent_id}: {e}")
 
         if not processed_patents:
             return f"Failed to process any patents for {company_name}"
 
-        logger.info("Analyzing portfolio with LLM...")
+        print("Analyzing portfolio with LLM...")
 
         # Analyze the full portfolio with LLM
         analysis = self.llm_analyzer.analyze_patent_portfolio(
@@ -126,7 +122,6 @@ class CompanyAnalyzer:
           FileNotFoundError: If the patent PDF is not found at the expected path.
         """
         import os
-        logger.info("Analyzing patent %s for %s...", patent_id, company_name)
 
         patent_path = f"patents/{patent_id}.pdf"
 
@@ -188,7 +183,7 @@ class CompanyAnalyzer:
 
             return {"patent_id": patent.patent_id, "content": minimized_content}
         except Exception as e:
-            logger.warning("Failed to process %s: %s", patent.patent_id, e)
+            print(f"Warning: Failed to process {patent.patent_id}: {e}")
             return None
 
     def _analyze_company_safe(self, company_name: str) -> CompanyAnalysisResult:
@@ -259,7 +254,7 @@ class CompanyAnalyzer:
         results: list[CompanyAnalysisResult] = []
         total = len(companies)
 
-        logger.info("Starting batch analysis of %d companies...", total)
+        print(f"Starting batch analysis of {total} companies...")
 
         with ThreadPoolExecutor(max_workers=max_workers) as executor:
             future_to_company = {
@@ -276,8 +271,8 @@ class CompanyAnalyzer:
                     result = future.result()
                     results.append(result)
 
-                    status = "OK" if result.success else "FAIL"
+                    status = "✓" if result.success else "✗"
-                    logger.info("[%d/%d] %s %s", completed, total, status, company)
+                    print(f"[{completed}/{total}] {status} {company}")
 
                     if progress_callback:
                         progress_callback(company, completed, total)
@@ -292,12 +287,12 @@ class CompanyAnalyzer:
                             error=str(e),
                         )
                     )
-                    logger.error("[%d/%d] FAIL %s: %s", completed, total, company, e)
+                    print(f"[{completed}/{total}] ✗ {company}: {e}")
 
         successful = sum(1 for r in results if r.success)
         failed = total - successful
 
-        logger.info("Batch complete: %d succeeded, %d failed", successful, failed)
+        print(f"\nBatch complete: {successful} succeeded, {failed} failed")
 
         return BatchAnalysisResult(
             results=results,
@@ -323,20 +318,20 @@ class CompanyAnalyzer:
         results: list[CompanyAnalysisResult] = []
         total = len(companies)
 
-        logger.info("Starting sequential analysis of %d companies...", total)
+        print(f"Starting sequential analysis of {total} companies...")
 
         for idx, company in enumerate(companies, 1):
-            logger.info("[%d/%d] Analyzing %s...", idx, total, company)
+            print(f"\n[{idx}/{total}] Analyzing {company}...")
             result = self._analyze_company_safe(company)
             results.append(result)
 
-            status = "OK" if result.success else "FAIL"
+            status = "✓" if result.success else "✗"
-            logger.info("[%d/%d] %s %s", idx, total, status, company)
+            print(f"[{idx}/{total}] {status} {company}")
 
         successful = sum(1 for r in results if r.success)
         failed = total - successful
 
-        logger.info("Batch complete: %d succeeded, %d failed", successful, failed)
+        print(f"\nBatch complete: {successful} succeeded, {failed} failed")
 
         return BatchAnalysisResult(
             results=results,

SPARC/api.py

@@ -21,13 +21,11 @@ from SPARC.auth import (
     TokenResponse,
     UserResponse,
     check_jwt_secret,
-    close_db_client,
     create_tokens,
     decode_token,
     get_current_admin,
     get_current_user,
     get_db_client,
-    init_db_client,
 )
 from SPARC.types import BatchAnalysisResult, CompanyAnalysisResult
 
@@ -157,7 +155,6 @@ async def lifespan(app: FastAPI):
     """Initialize resources on startup, clean up on shutdown."""
     global _analyzer
     check_jwt_secret()
-    init_db_client()
     _analyzer = CompanyAnalyzer()
     # Mark any jobs that were running/pending before the restart as failed
     from SPARC.database import DatabaseClient
@@ -169,13 +166,9 @@ async def lifespan(app: FastAPI):
         import logging
         logging.getLogger(__name__).warning("Marked %d stale jobs as failed on startup", stale)
     _db.close()
-    # Start scheduled analysis if tracked companies are configured
-    from SPARC.scheduler import start_scheduler
-    start_scheduler()
     yield
-    # Cleanup
+    # Cleanup if needed
     _analyzer = None
-    close_db_client()
 
 
 app = FastAPI(
@@ -372,60 +365,6 @@ async def delete_user(
     return {"message": "User deleted"}
 
 
-# ============== Tracked Companies Endpoints ==============
-
-
-class TrackCompanyRequest(BaseModel):
-    """Request to add a company to tracking."""
-
-    company_name: str = Field(..., min_length=1, max_length=255)
-
-
-@app.get("/admin/tracked", tags=["Admin"])
-async def list_tracked_companies(
-    _: UserResponse = Depends(get_current_admin),
-):
-    """List all tracked companies (admin only)."""
-    db = get_db_client()
-    return db.list_tracked_companies()
-
-
-@app.post("/admin/tracked", tags=["Admin"])
-async def add_tracked_company(
-    request: TrackCompanyRequest,
-    _: UserResponse = Depends(get_current_admin),
-):
-    """Add a company to the tracked list (admin only)."""
-    db = get_db_client()
-    result = db.add_tracked_company(request.company_name)
-    if not result:
-        raise HTTPException(status_code=409, detail="Company already tracked")
-    return result
-
-
-@app.delete("/admin/tracked/{company_name}", tags=["Admin"])
-async def remove_tracked_company(
-    company_name: str,
-    _: UserResponse = Depends(get_current_admin),
-):
-    """Remove a company from the tracked list (admin only)."""
-    db = get_db_client()
-    removed = db.remove_tracked_company(company_name)
-    if not removed:
-        raise HTTPException(status_code=404, detail="Company not found in tracking list")
-    return {"message": f"Stopped tracking {company_name}"}
-
-
-@app.get("/admin/alerts", tags=["Admin"])
-async def list_alerts(
-    limit: int = Query(default=50, ge=1, le=200),
-    _: UserResponse = Depends(get_current_admin),
-):
-    """List recent alerts from scheduled analysis (admin only)."""
-    db = get_db_client()
-    return db.list_alerts(limit=limit)
-
-
 # ============== Analytics Endpoint ==============
 
 

SPARC/auth.py

@@ -146,36 +146,11 @@ def decode_token(token: str) -> Optional[TokenPayload]:
         return None
 
 
-# Shared database client singleton, initialized at startup via init_db_client()
-_db_client: DatabaseClient | None = None
-
-
-def init_db_client() -> None:
-    """Initialize the shared database client. Call once at app startup."""
-    global _db_client
-    _db_client = DatabaseClient(config.database_url)
-    _db_client.connect()
-
-
-def close_db_client() -> None:
-    """Close the shared database client. Call at app shutdown."""
-    global _db_client
-    if _db_client:
-        _db_client.close()
-        _db_client = None
-
-
 def get_db_client() -> DatabaseClient:
-    """Get the shared pooled database client for auth operations.
+    """Get database client for auth operations."""
-
+    client = DatabaseClient(config.database_url)
-    Returns the module-level singleton DatabaseClient. If not yet initialized
+    client.connect()
-    (e.g., during tests), creates a new instance as a fallback.
+    return client
-    """
-    global _db_client
-    if _db_client is None:
-        _db_client = DatabaseClient(config.database_url)
-        _db_client.connect()
-    return _db_client
 
 
 async def get_current_user(

SPARC/config.py

@@ -2,20 +2,12 @@
 
 Loads environment variables from .env file for API keys and other secrets.
 """
-import logging
 import os
 
 from dotenv import load_dotenv
 
 load_dotenv()
 
-# Logging configuration
-log_level = os.getenv("LOG_LEVEL", "INFO").upper()
-logging.basicConfig(
-    level=getattr(logging, log_level, logging.INFO),
-    format="%(asctime)s %(levelname)s %(name)s %(message)s",
-)
-
 # SerpAPI key for patent search
 api_key = os.getenv("API_KEY")
 
@@ -39,12 +31,6 @@ use_database = os.getenv("USE_DATABASE", "false").lower() in ("true", "1", "yes"
 patent_search_days = int(os.getenv("PATENT_SEARCH_DAYS", "90"))
 patent_thread_workers = int(os.getenv("PATENT_THREAD_WORKERS", "5"))
 
-# LLM model to use via OpenRouter (e.g. "anthropic/claude-3.5-sonnet", "openai/gpt-4o")
-model = os.getenv("MODEL", "anthropic/claude-3.5-sonnet")
-
-# SERP cache TTL in hours (how long cached search results are considered fresh)
-serp_cache_ttl_hours = int(os.getenv("SERP_CACHE_TTL_HOURS", "24"))
-
 # Root path for running behind a reverse proxy (e.g., "/api" when served at /api/)
 # This ensures OpenAPI docs work correctly when accessed via the proxy
 root_path = os.getenv("ROOT_PATH", "")

SPARC/database.py

@@ -192,35 +192,6 @@ class DatabaseClient:
                 ON jobs(status)
             """)
 
-            # Create tracked companies table for scheduled analysis
-            cursor.execute("""
-                CREATE TABLE IF NOT EXISTS tracked_companies (
-                    id SERIAL PRIMARY KEY,
-                    company_name VARCHAR(255) UNIQUE NOT NULL,
-                    last_patent_count INTEGER DEFAULT 0,
-                    last_analysis_at TIMESTAMP,
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-                )
-            """)
-
-            # Create alerts table for significant changes
-            cursor.execute("""
-                CREATE TABLE IF NOT EXISTS alerts (
-                    id SERIAL PRIMARY KEY,
-                    company_name VARCHAR(255) NOT NULL,
-                    alert_type VARCHAR(50) NOT NULL,
-                    message TEXT NOT NULL,
-                    old_value NUMERIC,
-                    new_value NUMERIC,
-                    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-                )
-            """)
-
-            cursor.execute("""
-                CREATE INDEX IF NOT EXISTS idx_alerts_company
-                ON alerts(company_name)
-            """)
-
             self.conn.commit()
 
     @staticmethod
@@ -251,6 +222,8 @@ class DatabaseClient:
         Returns:
             Cached message dict if found, None otherwise
         """
+        self.connect()
+
         prompt_hash = self.hash_prompt(prompt)
 
         query = """
@@ -273,11 +246,10 @@ class DatabaseClient:
 
         query += " ORDER BY timestamp DESC LIMIT 1"
 
-        with self.get_conn() as conn:
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+            cursor.execute(query, params)
-                cursor.execute(query, params)
+            result = cursor.fetchone()
-                result = cursor.fetchone()
+            return dict(result) if result else None
-                return dict(result) if result else None
 
     def store_message(
         self,
@@ -305,32 +277,33 @@ class DatabaseClient:
         Returns:
             The ID of the inserted record
         """
+        self.connect()
+
         prompt_hash = self.hash_prompt(prompt)
 
-        with self.get_conn() as conn:
+        with self.conn.cursor() as cursor:
-            with conn.cursor() as cursor:
+            cursor.execute(
-                cursor.execute(
+                """
-                    """
+                INSERT INTO llm_messages
-                    INSERT INTO llm_messages
+                (prompt, prompt_hash, response, company_name, analysis_type, model, metadata, token_usage, is_cached)
-                    (prompt, prompt_hash, response, company_name, analysis_type, model, metadata, token_usage, is_cached)
+                VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
-                    VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
+                RETURNING id
-                    RETURNING id
+                """,
-                    """,
+                (
-                    (
+                    prompt,
-                        prompt,
+                    prompt_hash,
-                        prompt_hash,
+                    response,
-                        response,
+                    company_name,
-                        company_name,
+                    analysis_type,
-                        analysis_type,
+                    model,
-                        model,
+                    json.dumps(metadata) if metadata else None,
-                        json.dumps(metadata) if metadata else None,
+                    json.dumps(token_usage) if token_usage else None,
-                        json.dumps(token_usage) if token_usage else None,
+                    is_cached,
-                        is_cached,
+                ),
-                    ),
+            )
-                )
 
-                message_id = cursor.fetchone()[0]
+            message_id = cursor.fetchone()[0]
-            conn.commit()
+            self.conn.commit()
 
             return message_id
 
@@ -352,6 +325,8 @@ class DatabaseClient:
         Returns:
             List of message dictionaries
         """
+        self.connect()
+
         query = "SELECT * FROM llm_messages WHERE 1=1"
         params = []
 
@@ -366,10 +341,9 @@ class DatabaseClient:
         query += " ORDER BY timestamp DESC LIMIT %s OFFSET %s"
         params.extend([limit, offset])
 
-        with self.get_conn() as conn:
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+            cursor.execute(query, params)
-                cursor.execute(query, params)
+            return [dict(row) for row in cursor.fetchall()]
-                return [dict(row) for row in cursor.fetchall()]
 
     def get_analytics(self, days: int = 30) -> Dict:
         """Get analytics on message usage.
@@ -380,52 +354,53 @@ class DatabaseClient:
         Returns:
             Dictionary with analytics data
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                # Total messages
-                cursor.execute(
-                    """
-                    SELECT COUNT(*) as total_messages
-                    FROM llm_messages
-                    WHERE timestamp >= NOW() - INTERVAL '%s days'
-                    """,
-                    (days,),
-                )
-                total = cursor.fetchone()["total_messages"]
 
-                # Messages by company
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                cursor.execute(
+            # Total messages
-                    """
+            cursor.execute(
-                    SELECT company_name, COUNT(*) as count
+                """
-                    FROM llm_messages
+                SELECT COUNT(*) as total_messages
-                    WHERE timestamp >= NOW() - INTERVAL '%s days'
+                FROM llm_messages
-                    GROUP BY company_name
+                WHERE timestamp >= NOW() - INTERVAL '%s days'
-                    ORDER BY count DESC
+                """,
-                    LIMIT 10
+                (days,),
-                    """,
+            )
-                    (days,),
+            total = cursor.fetchone()["total_messages"]
-                )
-                by_company = cursor.fetchall()
 
-                # Messages by type
+            # Messages by company
-                cursor.execute(
+            cursor.execute(
-                    """
+                """
-                    SELECT analysis_type, COUNT(*) as count
+                SELECT company_name, COUNT(*) as count
-                    FROM llm_messages
+                FROM llm_messages
-                    WHERE timestamp >= NOW() - INTERVAL '%s days'
+                WHERE timestamp >= NOW() - INTERVAL '%s days'
-                    GROUP BY analysis_type
+                GROUP BY company_name
-                    ORDER BY count DESC
+                ORDER BY count DESC
-                    """,
+                LIMIT 10
-                    (days,),
+                """,
-                )
+                (days,),
-                by_type = cursor.fetchall()
+            )
+            by_company = cursor.fetchall()
 
-                return {
+            # Messages by type
-                    "total_messages": total,
+            cursor.execute(
-                    "by_company": [dict(row) for row in by_company],
+                """
-                    "by_type": [dict(row) for row in by_type],
+                SELECT analysis_type, COUNT(*) as count
-                    "period_days": days,
+                FROM llm_messages
-                }
+                WHERE timestamp >= NOW() - INTERVAL '%s days'
+                GROUP BY analysis_type
+                ORDER BY count DESC
+                """,
+                (days,),
+            )
+            by_type = cursor.fetchall()
+
+            return {
+                "total_messages": total,
+                "by_company": [dict(row) for row in by_company],
+                "by_type": [dict(row) for row in by_type],
+                "period_days": days,
+            }
 
     # Patent Cache Methods
 
@@ -676,23 +651,25 @@ class DatabaseClient:
         Returns:
             Created user dict or None if email exists
         """
+        self.connect()
+
         password_hash = self.hash_password(password)
 
         try:
-            with self.get_conn() as conn:
+            with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+                cursor.execute(
-                    cursor.execute(
+                    """
-                        """
+                    INSERT INTO users (email, password_hash, role)
-                        INSERT INTO users (email, password_hash, role)
+                    VALUES (%s, %s, %s)
-                        VALUES (%s, %s, %s)
+                    RETURNING id, email, role, created_at
-                        RETURNING id, email, role, created_at
+                    """,
-                        """,
+                    (email, password_hash, role),
-                        (email, password_hash, role),
+                )
-                    )
+                user = cursor.fetchone()
-                    user = cursor.fetchone()
+                self.conn.commit()
-                conn.commit()
                 return dict(user) if user else None
         except psycopg2.errors.UniqueViolation:
+            self.conn.rollback()
             return None
 
     def authenticate_user(self, email: str, password: str) -> Optional[Dict]:
@@ -705,22 +682,23 @@ class DatabaseClient:
         Returns:
             User dict if authenticated, None otherwise
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                cursor.execute(
-                    "SELECT * FROM users WHERE email = %s",
-                    (email,),
-                )
-                user = cursor.fetchone()
 
-                if user and self.verify_password(password, user["password_hash"]):
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                    return {
+            cursor.execute(
-                        "id": user["id"],
+                "SELECT * FROM users WHERE email = %s",
-                        "email": user["email"],
+                (email,),
-                        "role": user["role"],
+            )
-                        "created_at": user["created_at"],
+            user = cursor.fetchone()
-                    }
+
-                return None
+            if user and self.verify_password(password, user["password_hash"]):
+                return {
+                    "id": user["id"],
+                    "email": user["email"],
+                    "role": user["role"],
+                    "created_at": user["created_at"],
+                }
+            return None
 
     def get_user_by_id(self, user_id: int) -> Optional[Dict]:
         """Get a user by ID.
@@ -731,14 +709,15 @@ class DatabaseClient:
         Returns:
             User dict or None
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+
-                cursor.execute(
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                    "SELECT id, email, role, created_at FROM users WHERE id = %s",
+            cursor.execute(
-                    (user_id,),
+                "SELECT id, email, role, created_at FROM users WHERE id = %s",
-                )
+                (user_id,),
-                user = cursor.fetchone()
+            )
-                return dict(user) if user else None
+            user = cursor.fetchone()
+            return dict(user) if user else None
 
     def get_user_by_email(self, email: str) -> Optional[Dict]:
         """Get a user by email.
@@ -749,14 +728,15 @@ class DatabaseClient:
         Returns:
             User dict or None
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+
-                cursor.execute(
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                    "SELECT id, email, role, created_at FROM users WHERE email = %s",
+            cursor.execute(
-                    (email,),
+                "SELECT id, email, role, created_at FROM users WHERE email = %s",
-                )
+                (email,),
-                user = cursor.fetchone()
+            )
-                return dict(user) if user else None
+            user = cursor.fetchone()
+            return dict(user) if user else None
 
     def get_all_users(self, limit: int = 100, offset: int = 0) -> List[Dict]:
         """Get all users (admin only).
@@ -768,18 +748,19 @@ class DatabaseClient:
         Returns:
             List of user dicts
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+
-                cursor.execute(
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                    """
+            cursor.execute(
-                    SELECT id, email, role, created_at
+                """
-                    FROM users
+                SELECT id, email, role, created_at
-                    ORDER BY created_at DESC
+                FROM users
-                    LIMIT %s OFFSET %s
+                ORDER BY created_at DESC
-                    """,
+                LIMIT %s OFFSET %s
-                    (limit, offset),
+                """,
-                )
+                (limit, offset),
-                return [dict(row) for row in cursor.fetchall()]
+            )
+            return [dict(row) for row in cursor.fetchall()]
 
     def update_user_role(self, user_id: int, role: str) -> Optional[Dict]:
         """Update a user's role (admin only).
@@ -791,19 +772,20 @@ class DatabaseClient:
         Returns:
             Updated user dict or None
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
+
-                cursor.execute(
+        with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                    """
+            cursor.execute(
-                    UPDATE users
+                """
-                    SET role = %s, updated_at = CURRENT_TIMESTAMP
+                UPDATE users
-                    WHERE id = %s
+                SET role = %s, updated_at = CURRENT_TIMESTAMP
-                    RETURNING id, email, role, created_at
+                WHERE id = %s
-                    """,
+                RETURNING id, email, role, created_at
-                    (role, user_id),
+                """,
-                )
+                (role, user_id),
-                user = cursor.fetchone()
+            )
-            conn.commit()
+            user = cursor.fetchone()
+            self.conn.commit()
             return dict(user) if user else None
 
     def delete_user(self, user_id: int) -> bool:
@@ -815,11 +797,12 @@ class DatabaseClient:
         Returns:
             True if deleted
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor() as cursor:
+
-                cursor.execute("DELETE FROM users WHERE id = %s", (user_id,))
+        with self.conn.cursor() as cursor:
-                deleted = cursor.rowcount > 0
+            cursor.execute("DELETE FROM users WHERE id = %s", (user_id,))
-            conn.commit()
+            deleted = cursor.rowcount > 0
+            self.conn.commit()
             return deleted
 
     def get_user_count(self) -> int:
@@ -828,85 +811,8 @@ class DatabaseClient:
         Returns:
             Number of users
         """
-        with self.get_conn() as conn:
+        self.connect()
-            with conn.cursor() as cursor:
-                cursor.execute("SELECT COUNT(*) FROM users")
-                return cursor.fetchone()[0]
 
-    # Tracked Companies Methods
+        with self.conn.cursor() as cursor:
-
+            cursor.execute("SELECT COUNT(*) FROM users")
-    def add_tracked_company(self, company_name: str) -> Optional[Dict]:
+            return cursor.fetchone()[0]
-        """Add a company to the tracking list."""
-        with self.get_conn() as conn:
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                try:
-                    cursor.execute(
-                        "INSERT INTO tracked_companies (company_name) VALUES (%s) RETURNING *",
-                        (company_name,),
-                    )
-                    row = cursor.fetchone()
-                    conn.commit()
-                    return dict(row) if row else None
-                except Exception:
-                    conn.rollback()
-                    return None
-
-    def remove_tracked_company(self, company_name: str) -> bool:
-        """Remove a company from the tracking list."""
-        with self.get_conn() as conn:
-            with conn.cursor() as cursor:
-                cursor.execute(
-                    "DELETE FROM tracked_companies WHERE LOWER(company_name) = LOWER(%s)",
-                    (company_name,),
-                )
-                conn.commit()
-                return cursor.rowcount > 0
-
-    def list_tracked_companies(self) -> List[Dict]:
-        """List all tracked companies."""
-        with self.get_conn() as conn:
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                cursor.execute("SELECT * FROM tracked_companies ORDER BY company_name")
-                return [dict(row) for row in cursor.fetchall()]
-
-    def update_tracked_company(
-        self, company_name: str, patent_count: int
-    ) -> None:
-        """Update the last analysis stats for a tracked company."""
-        with self.get_conn() as conn:
-            with conn.cursor() as cursor:
-                cursor.execute(
-                    """UPDATE tracked_companies
-                       SET last_patent_count = %s, last_analysis_at = CURRENT_TIMESTAMP
-                       WHERE LOWER(company_name) = LOWER(%s)""",
-                    (patent_count, company_name),
-                )
-                conn.commit()
-
-    def store_alert(
-        self,
-        company_name: str,
-        alert_type: str,
-        message: str,
-        old_value: float | None = None,
-        new_value: float | None = None,
-    ) -> None:
-        """Record an alert for a significant change."""
-        with self.get_conn() as conn:
-            with conn.cursor() as cursor:
-                cursor.execute(
-                    """INSERT INTO alerts (company_name, alert_type, message, old_value, new_value)
-                       VALUES (%s, %s, %s, %s, %s)""",
-                    (company_name, alert_type, message, old_value, new_value),
-                )
-                conn.commit()
-
-    def list_alerts(self, limit: int = 50) -> List[Dict]:
-        """List recent alerts."""
-        with self.get_conn() as conn:
-            with conn.cursor(cursor_factory=RealDictCursor) as cursor:
-                cursor.execute(
-                    "SELECT * FROM alerts ORDER BY created_at DESC LIMIT %s",
-                    (limit,),
-                )
-                return [dict(row) for row in cursor.fetchall()]

SPARC/llm.py

@@ -1,6 +1,5 @@
 """LLM integration for patent analysis using OpenRouter."""
 
-import logging
 from typing import Dict
 
 from openai import OpenAI
@@ -8,8 +7,6 @@ from openai import OpenAI
 from SPARC import config
 from SPARC.database import DatabaseClient
 
-logger = logging.getLogger(__name__)
-
 
 class LLMAnalyzer:
     """Handles LLM-based analysis of patent content."""
@@ -25,7 +22,7 @@ class LLMAnalyzer:
         """
         self.test_mode = test_mode
         self.use_cache = use_cache if use_cache is not None else config.use_cache
-        self.model = config.model
+        self.model = "anthropic/claude-3.5-sonnet"
 
         # Always initialize database client for storage and caching
         self.db_client = DatabaseClient(config.database_url)
@@ -64,7 +61,11 @@ Patent Content:
 Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals about the company's technical direction and competitive advantage."""
 
         if self.test_mode:
-            logger.debug("TEST MODE - Prompt that would be sent to LLM:\n%s", prompt)
+            print("=" * 80)
+            print("TEST MODE - Prompt that would be sent to LLM:")
+            print("=" * 80)
+            print(prompt)
+            print("=" * 80)
             return "[TEST MODE - No API call made]"
 
         # Check cache first
@@ -166,7 +167,7 @@ Patent Portfolio:
 Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the company's innovation strength and performance outlook."""
 
         if self.test_mode:
-            logger.debug("TEST MODE - Portfolio prompt:\n%s", prompt)
+            print(prompt)
             return "[TEST MODE]"
 
         metadata = {

SPARC/scheduler.py

@@ -1,109 +0,0 @@
-"""Scheduled patent analysis for tracked companies.
-
-Uses APScheduler to periodically re-analyze tracked companies and
-detect significant changes in patent counts.
-"""
-
-import logging
-import os
-
-from SPARC import config
-from SPARC.analyzer import CompanyAnalyzer
-from SPARC.database import DatabaseClient
-
-logger = logging.getLogger(__name__)
-
-# Configurable via environment variable (in hours, default 24)
-SCHEDULE_INTERVAL_HOURS = int(os.getenv("SCHEDULE_INTERVAL_HOURS", "24"))
-
-# Patent count change threshold (percentage) to trigger an alert
-CHANGE_THRESHOLD_PERCENT = int(os.getenv("CHANGE_THRESHOLD_PERCENT", "20"))
-
-
-def run_scheduled_analysis() -> None:
-    """Re-analyze all tracked companies and check for significant changes."""
-    db = DatabaseClient(config.database_url)
-    db.connect()
-    db.initialize_schema()
-
-    tracked = db.list_tracked_companies()
-    if not tracked:
-        logger.info("No tracked companies configured; skipping scheduled analysis")
-        return
-
-    logger.info("Running scheduled analysis for %d tracked companies", len(tracked))
-
-    analyzer = CompanyAnalyzer(db_client=db)
-
-    for company_row in tracked:
-        name = company_row["company_name"]
-        old_count = company_row.get("last_patent_count", 0) or 0
-
-        try:
-            result = analyzer._analyze_company_safe(name)
-
-            if result.success:
-                new_count = result.patent_count
-
-                # Update tracking record
-                db.update_tracked_company(name, new_count)
-
-                # Check for significant change
-                if old_count > 0:
-                    delta_pct = abs(new_count - old_count) / old_count * 100
-                    if delta_pct >= CHANGE_THRESHOLD_PERCENT:
-                        direction = "increased" if new_count > old_count else "decreased"
-                        message = (
-                            f"Patent count for {name} {direction} by {delta_pct:.0f}% "
-                            f"({old_count} -> {new_count})"
-                        )
-                        logger.warning("ALERT: %s", message)
-                        db.store_alert(
-                            company_name=name,
-                            alert_type="patent_count_change",
-                            message=message,
-                            old_value=old_count,
-                            new_value=new_count,
-                        )
-                elif new_count > 0:
-                    # First analysis -- record baseline
-                    logger.info("Baseline for %s: %d patents", name, new_count)
-            else:
-                logger.warning("Scheduled analysis failed for %s: %s", name, result.error)
-
-        except Exception as e:
-            logger.error("Error analyzing tracked company %s: %s", name, e)
-
-    db.close()
-    logger.info("Scheduled analysis complete")
-
-
-def start_scheduler() -> None:
-    """Start the APScheduler background scheduler.
-
-    Safe to call at application startup. If apscheduler is not installed,
-    the function logs a warning and returns without starting anything.
-    """
-    try:
-        from apscheduler.schedulers.background import BackgroundScheduler
-    except ImportError:
-        logger.warning(
-            "apscheduler not installed; scheduled analysis disabled. "
-            "Install with: pip install apscheduler"
-        )
-        return
-
-    scheduler = BackgroundScheduler()
-    scheduler.add_job(
-        run_scheduled_analysis,
-        "interval",
-        hours=SCHEDULE_INTERVAL_HOURS,
-        id="scheduled_patent_analysis",
-        replace_existing=True,
-    )
-    scheduler.start()
-    logger.info(
-        "Scheduled patent analysis started (every %d hours, threshold %d%%)",
-        SCHEDULE_INTERVAL_HOURS,
-        CHANGE_THRESHOLD_PERCENT,
-    )

SPARC/types.py

@@ -4,7 +4,7 @@ from datetime import datetime
 
 @dataclass
 class Patent:
-    patent_id: str
+    patent_id: int
     pdf_link: str
     pdf_path: str | None = None
     summary: dict | None = None

requirements.txt

@@ -15,4 +15,3 @@ pandas
 bcrypt
 PyJWT
 slowapi
-apscheduler