feat: implement scheduled/recurring analysis with change alerting

Add APScheduler-based background task that periodically re-analyzes
tracked companies and alerts on significant patent count changes.

- Add tracked_companies and alerts tables to database schema
- Add SPARC/scheduler.py with configurable interval and threshold
- Add admin endpoints: GET/POST/DELETE /admin/tracked, GET /admin/alerts
- Scheduler starts at app startup; interval via SCHEDULE_INTERVAL_HOURS
- Change threshold configurable via CHANGE_THRESHOLD_PERCENT env var
- apscheduler is optional; graceful fallback if not installed

Closes leeworks-agents/SPARC#22

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

.env.example

@@ -40,9 +40,3 @@ JWT_SECRET=your-secure-jwt-secret-change-in-production
 # When USE_CACHE=true: check database for cached responses before making API calls
 # When USE_CACHE=false: always make fresh API calls (still stores results in database)
 USE_CACHE=true
-
-# ---- Webhooks ----
-
-# Comma-separated list of webhook URLs for job completion and alert notifications
-# Supports generic HTTP POST and Slack/Discord incoming webhooks
-# WEBHOOK_URLS=https://hooks.slack.com/services/XXX,https://example.com/webhook

SPARC/api.py

@@ -169,6 +169,9 @@ 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
     _analyzer = None
@@ -369,6 +372,60 @@ 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 ==============
 
 
@@ -519,25 +576,8 @@ def _run_batch_job(job_id: str, companies: list[str], max_workers: int):
             progress=100,
             result_json=_json.dumps(batch_response.model_dump(), default=str),
         )
-        # Fire webhook notification
-        from SPARC.webhooks import notify_job_completed
-        notify_job_completed(
-            job_id=job_id,
-            status="completed",
-            total_companies=result.total_companies,
-            successful=result.successful,
-            failed=result.failed,
-        )
     except Exception as e:
         db.update_job(job_id, status="failed", error=str(e))
-        from SPARC.webhooks import notify_job_completed
-        notify_job_completed(
-            job_id=job_id,
-            status="failed",
-            total_companies=len(companies),
-            successful=0,
-            failed=len(companies),
-        )
 
 
 @app.post("/analyze/batch/async", response_model=JobStatus, tags=["Analysis"])

SPARC/database.py

@@ -192,6 +192,35 @@ 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
@@ -803,3 +832,81 @@ class DatabaseClient:
             with conn.cursor() as cursor:
                 cursor.execute("SELECT COUNT(*) FROM users")
                 return cursor.fetchone()[0]
+
+    # Tracked Companies Methods
+
+    def add_tracked_company(self, company_name: str) -> Optional[Dict]:
+        """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/scheduler.py

@@ -0,0 +1,109 @@
+"""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/webhooks.py

@@ -1,139 +0,0 @@
-"""Webhook notifications for job completion and alert events.
-
-Sends JSON payloads to configured webhook URLs with retry logic.
-Supports generic HTTP POST and Slack-compatible text payloads.
-"""
-
-import logging
-import os
-import time
-from datetime import datetime
-from typing import Any
-
-import requests
-
-logger = logging.getLogger(__name__)
-
-# Comma-separated list of webhook URLs (env var based config)
-_WEBHOOK_URLS_RAW = os.getenv("WEBHOOK_URLS", "")
-WEBHOOK_URLS: list[str] = [
-    url.strip() for url in _WEBHOOK_URLS_RAW.split(",") if url.strip()
-]
-
-MAX_RETRIES = 3
-BACKOFF_BASE = 2  # seconds
-
-
-def _is_slack_url(url: str) -> bool:
-    """Check if a URL looks like a Slack incoming webhook."""
-    return "hooks.slack.com" in url or "discord.com/api/webhooks" in url
-
-
-def _build_payload(event_type: str, data: dict[str, Any], slack: bool = False) -> dict:
-    """Build the webhook payload.
-
-    Args:
-        event_type: Type of event (e.g., "job_completed", "alert")
-        data: Event-specific data
-        slack: If True, wrap in Slack-compatible ``text`` format
-
-    Returns:
-        JSON-serializable payload dict
-    """
-    payload = {
-        "event": event_type,
-        "timestamp": datetime.utcnow().isoformat() + "Z",
-        **data,
-    }
-
-    if slack:
-        # Build a human-readable summary for Slack/Discord
-        lines = [f"*[SPARC] {event_type}*"]
-        for key, value in data.items():
-            lines.append(f"  {key}: {value}")
-        return {"text": "\n".join(lines)}
-
-    return payload
-
-
-def _send_with_retry(url: str, payload: dict) -> bool:
-    """Send a POST request with exponential backoff retry.
-
-    Args:
-        url: Webhook URL
-        payload: JSON payload to send
-
-    Returns:
-        True if delivered successfully, False after all retries exhausted
-    """
-    for attempt in range(1, MAX_RETRIES + 1):
-        try:
-            response = requests.post(url, json=payload, timeout=10)
-            if response.status_code < 300:
-                logger.debug("Webhook delivered to %s (attempt %d)", url, attempt)
-                return True
-            logger.warning(
-                "Webhook %s returned %d (attempt %d/%d)",
-                url, response.status_code, attempt, MAX_RETRIES,
-            )
-        except requests.RequestException as e:
-            logger.warning(
-                "Webhook delivery failed for %s (attempt %d/%d): %s",
-                url, attempt, MAX_RETRIES, e,
-            )
-
-        if attempt < MAX_RETRIES:
-            wait = BACKOFF_BASE ** attempt
-            time.sleep(wait)
-
-    logger.error("Webhook permanently failed for %s after %d attempts", url, MAX_RETRIES)
-    return False
-
-
-def notify(event_type: str, data: dict[str, Any]) -> None:
-    """Fire all configured webhooks for an event.
-
-    Safe to call even when no webhooks are configured (returns immediately).
-
-    Args:
-        event_type: Event identifier (e.g., "job_completed", "patent_alert")
-        data: Event data to include in the payload
-    """
-    if not WEBHOOK_URLS:
-        return
-
-    for url in WEBHOOK_URLS:
-        slack = _is_slack_url(url)
-        payload = _build_payload(event_type, data, slack=slack)
-        _send_with_retry(url, payload)
-
-
-def notify_job_completed(
-    job_id: str,
-    status: str,
-    total_companies: int,
-    successful: int,
-    failed: int,
-) -> None:
-    """Send notification when a batch job completes."""
-    notify("job_completed", {
-        "job_id": job_id,
-        "status": status,
-        "total_companies": total_companies,
-        "successful": successful,
-        "failed": failed,
-        "summary": f"Batch job {job_id}: {successful}/{total_companies} succeeded",
-    })
-
-
-def notify_alert(
-    company_name: str,
-    alert_type: str,
-    message: str,
-) -> None:
-    """Send notification for a tracked company alert."""
-    notify("patent_alert", {
-        "company_name": company_name,
-        "alert_type": alert_type,
-        "message": message,
-    })

requirements.txt

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