feat: Implement SQLite schema and migrations for intrusion detection system

- Added schema definition and migration logic in app/db/schema.py.
- Created tables for log sources, requests, IP stats, scans, blocklist, whitelist, and firewall rules.
- Introduced functions to apply migrations and ensure database integrity.

feat: Enhance scan functionality with database integration

- Added _sync_blocklist_to_db function to synchronize blocklist with SQLite.
- Updated run_scan function to handle database connections and scan records.
- Implemented error handling for database operations during scans.

feat: Introduce log analysis page and API endpoints

- Created analysis.html template for displaying log analysis results.
- Added routes for fetching top IPs, IP request timelines, and cross-source IPs.
- Integrated analysis data into the dashboard and status endpoints.

fix: Ensure whitelists are synchronized with the database

- Implemented sync_whitelists_to_db function to persist in-memory whitelists.
- Updated constants.py to define the path for the SQLite database.

refactor: Modularize analysis helpers for better maintainability

- Created _analysis_helpers function to encapsulate SQLite query logic.
- Updated routes.py to utilize new analysis helper functions for API responses.

.env.example

@@ -60,6 +60,12 @@ SUBNET_THRESHOLD=3
 REPORT_RETENTION_DAYS=30
 REPORT_RETENTION_MAX_FILES=10
 
+# --- SQLite store ---------------------------------------------------------
+
+# Local SQLite database canonical store (logs, scans, blocklist/whitelist and
+# firewall history). Created automatically on first run. Default: data/ids.db
+#IDS_DB_PATH=/absolute/path/to/ids.db
+
 # --- Scan / flagging defaults ----------------------------------------------
 
 # Rows in the top-IP report tables.