From c9d71af1efc829e4de234ed06054497c3bdaacc9 Mon Sep 17 00:00:00 2001
From: "codebeaver-ai[bot]"
 <192081515+codebeaver-ai[bot]@users.noreply.github.com>
Date: Wed, 29 Jan 2025 10:25:51 +0000
Subject: [PATCH] test: Update coverage improvement test for
 tests/test_json_scraper_graph.py

---
 tests/test_json_scraper_graph.py | 58 +++++++++++++++++++++++++++++++-
 1 file changed, 57 insertions(+), 1 deletion(-)

diff --git a/tests/test_json_scraper_graph.py b/tests/test_json_scraper_graph.py
index 1572650e..2abcaa85 100644
--- a/tests/test_json_scraper_graph.py
+++ b/tests/test_json_scraper_graph.py
@@ -1,6 +1,6 @@
 import pytest
 
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from scrapegraphai.graphs.json_scraper_graph import JSONScraperGraph
 from unittest.mock import Mock, patch
 
@@ -133,4 +133,60 @@ class TestJSONScraperGraph:
             mock_execute.assert_called_once_with({"user_prompt": "Query that produces no answer", "json": "path/to/empty/file.json"})
             mock_fetch_node.assert_called_once()
             mock_generate_answer_node.assert_called_once()
+            mock_create_llm.assert_called_once_with({"model": "test-model", "temperature": 0})
+
+    @pytest.fixture
+    def mock_llm_model(self):
+        return Mock()
+
+    @pytest.fixture
+    def mock_embedder_model(self):
+        return Mock()
+
+    @patch('scrapegraphai.graphs.json_scraper_graph.FetchNode')
+    @patch('scrapegraphai.graphs.json_scraper_graph.GenerateAnswerNode')
+    @patch.object(JSONScraperGraph, '_create_llm')
+    def test_json_scraper_graph_with_custom_schema(self, mock_create_llm, mock_generate_answer_node, mock_fetch_node, mock_llm_model, mock_embedder_model):
+        """
+        Test JSONScraperGraph with a custom schema.
+        This test checks if the graph correctly handles a custom schema input
+        and passes it to the GenerateAnswerNode.
+        """
+        # Define a custom schema
+        class CustomSchema(BaseModel):
+            name: str = Field(..., description="Name of the attraction")
+            description: str = Field(..., description="Description of the attraction")
+
+        # Mock the _create_llm method to return a mock LLM model
+        mock_create_llm.return_value = mock_llm_model
+
+        # Mock the execute method of BaseGraph
+        with patch('scrapegraphai.graphs.json_scraper_graph.BaseGraph.execute') as mock_execute:
+            mock_execute.return_value = ({"answer": "Mocked answer with custom schema"}, {})
+
+            # Create a JSONScraperGraph instance with a custom schema
+            graph = JSONScraperGraph(
+                prompt="List attractions in Chioggia",
+                source="path/to/chioggia.json",
+                config={"llm": {"model": "test-model", "temperature": 0}},
+                schema=CustomSchema
+            )
+
+            # Set mocked embedder model
+            graph.embedder_model = mock_embedder_model
+
+            # Run the graph
+            result = graph.run()
+
+            # Assertions
+            assert result == "Mocked answer with custom schema"
+            assert graph.input_key == "json"
+            mock_execute.assert_called_once_with({"user_prompt": "List attractions in Chioggia", "json": "path/to/chioggia.json"})
+            mock_fetch_node.assert_called_once()
+            mock_generate_answer_node.assert_called_once()
+
+            # Check if the custom schema was passed to GenerateAnswerNode
+            generate_answer_node_call = mock_generate_answer_node.call_args[1]
+            assert generate_answer_node_call['node_config']['schema'] == CustomSchema
+
             mock_create_llm.assert_called_once_with({"model": "test-model", "temperature": 0})
\ No newline at end of file