Update app.py

app.py

@@ -30,17 +30,33 @@ os.environ["LANGCHAIN_API_KEY"] = os.getenv("LANGCHAIN_API_KEY")
 os.environ["LANGCHAIN_PROJECT"] = os.getenv("LANGCHAIN_PROJECT")
 
 
-# ✅ 禁用 DeepEval 遙測功能（環境變數層級）
-os.environ["DEEPEVAL_TELEMETRY_OPT_OUT"] = "YES"
-os.environ["DEEPEVAL_DISABLE_TELEMETRY"] = "true"
-os.environ["DEEPEVAL_RESULTS_FOLDER"] = "/tmp/deepeval_results"  # 可選：避免在 home 建目錄
 
-# ✅ 禁用 DeepEval 遙測功能（程式碼層級）
-try:
-    from deepeval.telemetry import disable_telemetry
-    disable_telemetry()
-except Exception as e:
-    print(f"[WARNING] Failed to disable DeepEval telemetry: {e}")
+
+# 解決 DeepEval 無法寫檔問題
+os.environ["DEEPEVAL_TELEMETRY_OPT_OUT"] = "YES"  # 禁用遙測，避免寫 .deepeval_telemetry.txt
+os.environ["DEEPEVAL_RESULTS_FOLDER"] = "/tmp/deepeval_results"  # 結果寫到可寫目錄
+os.makedirs("/tmp/deepeval_results", exist_ok=True)
+
+# 最重要：避免它在當前目錄寫 temp_test_run_data.json
+os.chdir("/tmp")  # 切換工作目錄，讓 temp file 也寫在 /tmp 裡（可寫） # 可選：避免在 home 建目錄
+
+SHOW_EVAL = os.getenv("SHOW_EVAL", "false").lower() == "true"
+if SHOW_EVAL:
+    try:
+        test_case = LLMTestCase(
+            input=query,
+            actual_output=raw_answer,
+            expected_output=raw_answer,
+            context=[d.page_content for d in chunks[:3]]
+        )
+        metric = AnswerRelevancyMetric()
+        results = evaluate([test_case], [metric])
+        result = results[0]
+        print(f"[DeepEval QA] Input: {query}")
+        print(f"[DeepEval QA] Passed: {result.passed}, Score: {result.score:.2f}, Reason: {result.reason}")
+    except Exception as e:
+        print(f"[DeepEval QA] Evaluation failed: {e}")
+
 # Load Required Modules 
 from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.vectorstores import Chroma, FAISS