feat(refactor): Document refactoring progress and phases in markdown

feat(scripts): Add backfill script for content_hash in cache tables

feat(scripts): Create recompute script for analysis_cache population

test(tests): Implement comprehensive tests for analysis module functions

fix(tests): Update CLI tests to assert errors on stderr instead of stdout

fix(tests): Adjust MCP integration tests to pass context parameter correctly

fix(tests): Modify service tests to return hash on save functions for consistency

finn_eiendom/mcp_server.py

@@ -51,8 +51,8 @@ logger = logging.getLogger(__name__)
 def _slim_listing(rank: int, item: dict) -> dict:
     """Collapse one full analyze_ad result into a compact listing card.
 
-    Drops: listing_description, unit_images, unit_vector, all timestamps,
-    full similar_units list, score dimension breakdown.
+    Keeps: listing_description (for AI interpretation), price_history, cache_age, score breakdown.
+    Drops: unit_images, unit_vector, internal eiendom_unit timestamps.
     Derives: avg_comp_sqm_price from similar_units.
     """
     eu = item.get("eiendom_unit") or {}
@@ -84,6 +84,8 @@ def _slim_listing(rank: int, item: dict) -> dict:
 
     score = item.get("score") or {}
     summary = item.get("summary") or {}
+    price_history = item.get("price_history") or []
+    cache_age = item.get("cache_age")
 
     # Keep full score breakdown — 12 dimensions + nearby_transit = ~220 bytes, all signal.
     # Drop nothing from scores.
@@ -113,6 +115,7 @@ def _slim_listing(rank: int, item: dict) -> dict:
         "url": item.get("url"),
         "title": item.get("title"),
         "address": item.get("address"),
+        "listing_description": item.get("listing_description"),
         "district": item.get("district"),
         "property_type": item.get("property_type"),
         "ownership_type": item.get("ownership_type"),
@@ -135,6 +138,8 @@ def _slim_listing(rank: int, item: dict) -> dict:
         "categories": item.get("categories"),
         "why_interesting": summary.get("why_interesting"),
         "risks": summary.get("risks"),
+        "cache_age": cache_age,
+        "price_history": price_history[:5],  # Last 5 price records
         "eiendom": eiendom,
         "similar_units": slim_comps,
     }