feat: 添加全局环境变量加载功能并更新配置说明

compare_reranker.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+"""Compare search results with and without reranker."""
+import json
+import subprocess
+import sys
+import os
+
+os.chdir(r"D:\dongdiankaifa9\hydro_generator_module")
+
+query = "热网络计算"
+
+def run_search(method: str) -> dict:
+    """Run search and return parsed JSON result."""
+    cmd = [sys.executable, "-m", "codexlens", "search", query, "--method", method, "--limit", "10", "--json"]
+    result = subprocess.run(cmd, capture_output=True, text=True, encoding="utf-8")
+    # Find JSON in output (skip debug lines)
+    for line in result.stdout.split("\n"):
+        if line.strip().startswith("{"):
+            try:
+                return json.loads(line)
+            except:
+                pass
+    # Try to find JSON object in stderr
+    output = result.stdout + result.stderr
+    start = output.find('{"success"')
+    if start >= 0:
+        # Find matching closing brace
+        depth = 0
+        for i, c in enumerate(output[start:]):
+            if c == '{':
+                depth += 1
+            elif c == '}':
+                depth -= 1
+                if depth == 0:
+                    try:
+                        return json.loads(output[start:start+i+1])
+                    except:
+                        pass
+                    break
+    return {"success": False, "error": "Failed to parse JSON"}
+
+print("=" * 60)
+print("搜索对比: 有无 Reranker 效果")
+print("查询:", query)
+print("=" * 60)
+
+# Run hybrid search (no reranker)
+print("\n[1] Hybrid 搜索 (无 Reranker)")
+print("-" * 40)
+hybrid_result = run_search("hybrid")
+if hybrid_result.get("success"):
+    results = hybrid_result.get("result", {}).get("results", [])[:10]
+    for i, r in enumerate(results, 1):
+        path = r.get("path", "").split("\\")[-1]
+        score = r.get("score", 0)
+        print(f"{i:2}. {path[:45]:<45} score={score:.4f}")
+else:
+    print("搜索失败:", hybrid_result.get("error"))
+
+# Run cascade search (with reranker)
+print("\n[2] Cascade 搜索 (使用 Reranker)")
+print("-" * 40)
+cascade_result = run_search("cascade")
+if cascade_result.get("success"):
+    results = cascade_result.get("result", {}).get("results", [])[:10]
+    for i, r in enumerate(results, 1):
+        path = r.get("path", "").split("\\")[-1]
+        score = r.get("score", 0)
+        print(f"{i:2}. {path[:45]:<45} score={score:.4f}")
+else:
+    print("搜索失败:", cascade_result.get("error"))
+
+print("\n" + "=" * 60)
+print("对比说明:")
+print("- Hybrid: FTS + Vector 融合，无二次重排序")
+print("- Cascade: Vector 粗筛 + Reranker API 精排")
+print("=" * 60)