Merge pull request confident-ai#422 from confident-ai/hotfix/popupdis…

…play

fix error on api key

deepeval/dataset/dataset.py

@@ -18,6 +18,7 @@
     Golden,
     DatasetHttpResponse,
 )
+from deepeval.utils import is_confident
 
 
 @dataclass
@@ -245,7 +246,7 @@ def push(self, alias: str):
             raise ValueError(
                 "Unable to push empty dataset to Confident AI, there must be at least one test case in dataset"
             )
-        if os.path.exists(".deepeval"):
+        if is_confident():
             goldens = convert_test_cases_to_goldens(self.test_cases)
             body = APIDataset(
                 alias=alias, overwrite=False, goldens=goldens
@@ -272,7 +273,7 @@ def push(self, alias: str):
             )
 
     def pull(self, alias: str, auto_convert_goldens_to_test_cases: bool = True):
-        if os.path.exists(".deepeval"):
+        if is_confident():
             api = Api()
             result = api.get_request(
                 endpoint=Endpoints.DATASET_ENDPOINT.value,

deepeval/test_run/test_run.py

@@ -2,6 +2,15 @@
 import json
 from pydantic import BaseModel, Field
 from typing import Any, Optional, List, Dict
+import shutil
+import webbrowser
+import sys
+import datetime
+import portalocker
+from rich.table import Table
+from rich.console import Console
+from rich import print
+
 from deepeval.metrics import BaseMetric
 from deepeval.test_case import LLMTestCase
 from deepeval.tracing import get_trace_stack
@@ -13,15 +22,7 @@
     MetricsMetadata,
     TestRunHttpResponse,
 )
-import shutil
-import webbrowser
-from deepeval.utils import delete_file_if_exists
-import sys
-import datetime
-import portalocker
-from rich.table import Table
-from rich.console import Console
-from rich import print
+from deepeval.utils import delete_file_if_exists, is_confident
 
 TEMP_FILE_NAME = "temp_test_run_data.json"
 
@@ -262,7 +263,7 @@ def post_test_run(self, test_run: TestRun):
         for test_case in test_run.test_cases:
             test_case.id = None
 
-        if os.path.exists(".deepeval"):
+        if is_confident():
             try:
                 body = test_run.model_dump(by_alias=True, exclude_none=True)
             except AttributeError:
@@ -278,7 +279,7 @@ def post_test_run(self, test_run: TestRun):
                 projectId=result["projectId"],
                 link=result["link"],
             )
-            if response and os.path.exists(".deepeval"):
+            if response:
                 link = response.link
                 console.print(
                     "✅ Tests finished! View results on "

deepeval/utils.py

@@ -11,6 +11,13 @@
 from dataclasses import asdict, is_dataclass
 import re
 
+from deepeval.key_handler import KeyValues, KEY_FILE_HANDLER
+
+
+def is_confident():
+    confident_api_key = KEY_FILE_HANDLER.fetch_data(KeyValues.API_KEY)
+    return confident_api_key is not None
+
 
 def drop_and_copy(obj, drop_attrs):
     # Function to drop attributes from a single object