Fix: Apply outlier filtering to deals list in get_valuation_comparables

Problem:
- get_valuation_comparables calculated statistics with outlier filtering
- But returned a deals list that still contained outliers (e.g., ₪900K, ₪1.3M deals)
- This caused inconsistency between statistics and the actual deals shown

Root Cause:
- calculate_deal_statistics() filters outliers internally for statistics
- But the deals array returned to user was only filtered by criteria (rooms, price, etc.)
- Outlier filtering was not applied to the returned deals list

Solution:
- Added explicit call to filter_deals_for_analysis() after filter_deals_by_criteria()
- Now both statistics AND deals list use outlier-filtered data
- Moved imports to top of file for better practice

Changes:
- nadlan_mcp/fastmcp_server.py:
  - Added imports: get_config, filter_deals_for_analysis
  - In get_valuation_comparables(): Apply outlier filtering before calculating stats
  - Ensures deals list and statistics are consistent

Testing:
- 325/326 tests pass
- 1 unrelated test failure in get_market_activity_metrics (pre-existing issue)

After deployment, outliers will be automatically filtered from valuation comparables.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

nadlan_mcp/fastmcp_server.py

@@ -13,8 +13,10 @@ from typing import Any, Dict, List, Optional
 from mcp.server.fastmcp import FastMCP
 from starlette.responses import JSONResponse
 
+from nadlan_mcp.config import get_config
 from nadlan_mcp.govmap import GovmapClient
 from nadlan_mcp.govmap.models import Deal
+from nadlan_mcp.govmap.outlier_detection import filter_deals_for_analysis
 
 # Configure logging
 logging.basicConfig(level=logging.INFO)
@@ -791,6 +793,16 @@ def get_valuation_comparables(
             max_floor=max_floor,
         )
 
+        # Apply outlier filtering to remove statistical outliers
+        config = get_config()
+        if (
+            config.analysis_outlier_method != "none"
+            and len(filtered_deals) >= config.analysis_min_deals_for_outlier_detection
+        ):
+            filtered_deals, outlier_report = filter_deals_for_analysis(
+                filtered_deals, config, metric="price_per_sqm"
+            )
+
         # Calculate statistics on filtered comparables
         stats = client.calculate_deal_statistics(filtered_deals)