Fix file paths and add test mocking for mini agents sequential tests

Author: MervinPraison

.github/workflows/unittest.yml

@@ -91,13 +91,14 @@ jobs:
     - name: Find Researcher Role Source
       run: |
         echo "🔍 Hunting for the mysterious 'Researcher' role..."
+        cd src/praisonai
         python -c "
         import os
         import yaml
         import glob
         
         print('📋 Searching for Researcher role in all YAML files:')
-        yaml_files = glob.glob('tests/*.yaml')
+        yaml_files = glob.glob('src/praisonai/tests/*.yaml')
         
         for yaml_file in yaml_files:
             try:
@@ -139,6 +140,7 @@ jobs:
     - name: Trace AutoGen Execution Path
       run: |
         echo "🔍 Tracing AutoGen execution to find where it diverges..."
+        cd src/praisonai
         python -c "
         import os
         import sys
@@ -163,7 +165,7 @@ jobs:
             
             # Load the YAML to check what it contains
             import yaml
-            with open('tests/autogen-agents.yaml', 'r') as f:
+            with open('src/praisonai/tests/autogen-agents.yaml', 'r') as f:
                 config = yaml.safe_load(f)
             
             framework = agents_gen.framework or config.get('framework')
@@ -209,13 +211,14 @@ jobs:
     - name: Debug YAML Loading and Roles
       run: |
         echo "🔍 Tracing YAML file loading and role creation..."
+        cd src/praisonai
         python -c "
         import os
         import sys
         import yaml
         sys.path.insert(0, '.')
         
-        print('📁 Available YAML files in tests/:')
+        print('📁 Available YAML files in src/praisonai/tests/:')
         import glob
         yaml_files = glob.glob('tests/*.yaml')
         for f in yaml_files:
@@ -297,6 +300,7 @@ jobs:
     - name: Debug PraisonAIModel API Key Flow
       run: |
         echo "🔍 Testing PraisonAIModel API key handling..."
+        cd src/praisonai
         python -c "
         import os
         import sys
@@ -351,12 +355,13 @@ jobs:
     - name: Test Direct PraisonAI Execution
       run: |
         echo "🧪 Testing direct PraisonAI execution (what works locally)..."
-        python -m praisonai tests/autogen-agents.yaml
+        python -m praisonai src/praisonai/tests/autogen-agents.yaml
       continue-on-error: true
 
     - name: Comprehensive Execution Debug
       run: |
         echo "🔍 Comprehensive debugging of PraisonAI execution path..."
+        cd src/praisonai
         python -c "
         import os
         import sys
@@ -376,10 +381,10 @@ jobs:
             print(f'  {f}')
         
         print()
-        print('📋 Files in tests/ directory:')
+        print('📋 Files in src/praisonai/tests/ directory:')
         for f in os.listdir('tests'):
             if f.endswith('.yaml'):
-                print(f'  tests/{f}')
+                print(f'  src/praisonai/tests/{f}')
         
         # Check if root agents.yaml exists
         print()
@@ -401,7 +406,7 @@ jobs:
             from praisonai.agents_generator import AgentsGenerator
             
             # Test with full path
-            test_file = 'tests/autogen-agents.yaml'
+            test_file = 'src/praisonai/tests/autogen-agents.yaml'
             print(f'  Using test file: {test_file}')
             print(f'  File exists: {os.path.exists(test_file)}')
             
@@ -465,7 +470,7 @@ jobs:
     - name: Run Fast Tests
       run: |
         # Run the fastest, most essential tests
-        python tests/test_runner.py --pattern fast
+        cd src/praisonai && python tests/test_runner.py --pattern fast
 
     - name: Run Legacy Example Tests
       run: |

src/praisonai/tests/unit/agent/test_mini_agents_sequential.py

@@ -6,18 +6,36 @@
 
 import sys
 import os
+import pytest
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src'))
 
 from praisonaiagents import Agent, Agents
+from unittest.mock import patch
 
-def test_mini_agents_sequential_data_passing():
+def mock_completion(*args, **kwargs):
+    """Mock completion function to avoid calling actual OpenAI API"""
+    class MockResponse:
+        def __init__(self, content):
+            self.content = content
+            self.choices = [type('obj', (object,), {'message': type('obj', (object,), {'content': content})})]
+            
+    if 'messages' in kwargs:
+        if any('Generate the number 42' in str(m.get('content', '')) for m in kwargs.get('messages', [])):
+            return MockResponse("42")
+        elif any('multiply it by 2' in str(m.get('content', '')) for m in kwargs.get('messages', [])):
+            return MockResponse("84")
+    return MockResponse("mock response")
+
+@patch('praisonaiagents.llms.PraisonAIModel.chat', side_effect=mock_completion)
+@patch('praisonaiagents.llms.PraisonAIModel.stream_chat', side_effect=mock_completion)
+def test_mini_agents_sequential_data_passing(mock_stream, mock_chat):
     """Test that output from previous task is passed to next task in Mini Agents"""
 
     print("Testing Mini Agents Sequential Data Passing...")
 
     # Create two agents for sequential processing
-    agent1 = Agent(instructions="Generate the number 42 as your output. Only return the number 42, nothing else.")
-    agent2 = Agent(instructions="Take the input number and multiply it by 2. Only return the result number, nothing else.")
+    agent1 = Agent(instructions="Generate the number 42 as your output. Only return the number 42, nothing else.", model_name="gpt-3.5-turbo")
+    agent2 = Agent(instructions="Take the input number and multiply it by 2. Only return the result number, nothing else.", model_name="gpt-3.5-turbo")
 
     # Create agents with sequential processing (Mini Agents pattern)
     agents = Agents(agents=[agent1, agent2], verbose=True)