Deploy OpenClaw PR API

src/slop_farmer/app/pr_search.py

@@ -49,6 +49,7 @@ def format_pr_search_similar(result: Mapping[str, Any]) -> str:
         "",
         f"Active snapshot: {result['snapshot_id']}",
         f"Lookup: {mode_used} via {source}",
+        f"Matches: {result.get('similar_count', len(result['similar_prs']))}",
         "",
     ]
     if not result["similar_prs"]:
@@ -102,6 +103,8 @@ def format_pr_search_clusters(result: Mapping[str, Any]) -> str:
         f"PR #{result['pr']['pr_number']}: cluster context",
         "",
         f"Lookup: {mode_used} via {source}",
+        f"Assigned: {result.get('assigned_cluster_count', len(result.get('assigned_clusters') or []))}",
+        f"Candidates: {result.get('candidate_cluster_count', len(result.get('candidate_clusters') or []))}",
         "",
         "Assigned clusters:",
     ]
@@ -140,6 +143,7 @@ def format_pr_search_cluster(result: Mapping[str, Any]) -> str:
     lines = [
         f"Cluster {cluster['cluster_id']}",
         f"Representative PR: #{cluster['representative_pr_number']}",
+        f"Members: {result.get('member_count', len(result['members']))}",
         f"Average similarity: {cluster['average_similarity']:.2f}",
         cluster["summary"],
         "",
@@ -156,6 +160,7 @@ def format_pr_search_cluster_list(result: Mapping[str, Any]) -> str:
     lines = [
         f"Repo: {result['repo']}",
         f"Active snapshot: {result['snapshot_id']}",
+        f"Clusters returned: {result.get('cluster_count', len(result.get('clusters') or []))}",
         "",
         "Clusters:",
     ]
@@ -165,7 +170,7 @@ def format_pr_search_cluster_list(result: Mapping[str, Any]) -> str:
         return "\n".join(lines)
     for index, cluster in enumerate(clusters, start=1):
         lines.append(
-            f"{index}. {cluster['cluster_id']}  representative=PR #{cluster['representative_pr_number']}  "
+            f"{cluster.get('rank', index)}. {cluster['cluster_id']}  representative=PR #{cluster['representative_pr_number']}  "
             f"size={cluster['cluster_size']} avg={cluster['average_similarity']:.2f}"
         )
         if cluster.get("representative_title"):

src/slop_farmer/reports/pr_search_service.py

@@ -244,6 +244,7 @@ def get_pr_search_similar(
             "run_id": run_id,
             "pr": document,
             "similar_prs": results,
+            "similar_count": len(results),
         }
     finally:
         connection.close()
@@ -283,6 +284,7 @@ def get_pr_search_candidate_clusters(
             "run_id": run_id,
             "pr": document,
             "candidate_clusters": candidates,
+            "candidate_cluster_count": len(candidates),
         }
     finally:
         connection.close()
@@ -333,6 +335,7 @@ def get_pr_search_similar_lookup(
         "pr": live_result["probe_pr"],
         "probe_source": live_result["probe_source"],
         "similar_prs": live_result["similar_prs"],
+        "similar_count": len(live_result["similar_prs"]),
     }
 
 
@@ -387,6 +390,8 @@ def get_pr_search_clusters(
         "probe_source": live_result["probe_source"],
         "assigned_clusters": [],
         "candidate_clusters": live_result["candidate_clusters"],
+        "assigned_cluster_count": 0,
+        "candidate_cluster_count": len(live_result["candidate_clusters"]),
     }
 
 
@@ -410,6 +415,7 @@ def get_pr_search_cluster(
             "run_id": run_id,
             "cluster": _cluster_summary(cluster),
             "members": members,
+            "member_count": len(members),
         }
     finally:
         connection.close()
@@ -443,11 +449,15 @@ def list_pr_search_clusters(
             """,
             [run_id, limit],
         )
+        clusters = []
+        for index, row in enumerate(rows, start=1):
+            clusters.append({"rank": index, **_cluster_summary(row)})
         return {
             "repo": active_run["repo"],
             "snapshot_id": active_run["snapshot_id"],
             "run_id": run_id,
-            "clusters": [_cluster_summary(row) for row in rows],
+            "clusters": clusters,
+            "cluster_count": len(clusters),
         }
     finally:
         connection.close()
@@ -770,6 +780,8 @@ def _get_pr_search_clusters_indexed(
             "pr": document,
             "assigned_clusters": assigned_clusters,
             "candidate_clusters": candidates,
+            "assigned_cluster_count": len(assigned_clusters),
+            "candidate_cluster_count": len(candidates),
         }
     finally:
         connection.close()