[BREAKING CHANGE] moved dry run into query and chat (#329)

Co-authored-by: Aaishik Dutta <aaishikdutta@Aaishiks-MacBook-Pro.local>

tests/embedchain/test_dryrun.py

@@ -1,52 +0,0 @@
-import os
-import unittest
-from string import Template
-from unittest.mock import patch
-
-from embedchain import App
-from embedchain.embedchain import QueryConfig
-
-
-class TestApp(unittest.TestCase):
-    os.environ["OPENAI_API_KEY"] = "test_key"
-
-    def setUp(self):
-        self.app = App()
-
-    @patch("logging.info")
-    def test_query_logs_same_prompt_as_dry_run(self, mock_logging_info):
-        """
-        Test that the 'query' method logs the same prompt as the 'dry_run' method.
-        This is the only way I found to test the prompt in query, that's not returned.
-        """
-        with patch.object(self.app, "retrieve_from_database") as mock_retrieve:
-            mock_retrieve.return_value = ["Test context"]
-            input_query = "Test query"
-            config = QueryConfig(
-                number_documents=3,
-                template=Template("Question: $query, context: $context, history: $history"),
-                history=["Past context 1", "Past context 2"],
-            )
-
-            with patch.object(self.app, "get_answer_from_llm"):
-                self.app.dry_run(input_query, config)
-                self.app.query(input_query, config)
-
-            # Access the log messages captured during the execution
-            logged_messages = [call[0][0] for call in mock_logging_info.call_args_list]
-
-            # Extract the prompts from the log messages
-            dry_run_prompt = self.extract_prompt(logged_messages[0])
-            query_prompt = self.extract_prompt(logged_messages[1])
-
-            # Perform assertions on the prompts
-            self.assertEqual(dry_run_prompt, query_prompt)
-
-    def extract_prompt(self, log_message):
-        """
-        Extracts the prompt value from the log message.
-        Adjust this method based on the log message format in your implementation.
-        """
-        # Modify this logic based on your log message format
-        prefix = "Prompt: "
-        return log_message.split(prefix, 1)[1]