fix: correct import name for CodeReviewTool in UTF-8 tests

tests/test_utf8_localization.py

@@ -18,7 +18,7 @@ from unittest.mock import Mock, patch
 import pytest
 
 from tools.chat import ChatTool
-from tools.codereview import CodereviewTool
+from tools.codereview import CodeReviewTool
 from tools.shared.base_tool import BaseTool
 
 
@@ -353,7 +353,7 @@ class TestLocalizationIntegration(unittest.TestCase):
         mock_get_provider.return_value = mock_provider
 
         # Test codereview tool
-        codereview_tool = CodereviewTool()
+        codereview_tool = CodeReviewTool()
         result = codereview_tool.execute(
             {
                 "step": "Source code review",

tests/test_workflow_utf8.py

@@ -10,7 +10,7 @@ import unittest
 from unittest.mock import Mock, patch
 
 from tools.analyze import AnalyzeTool
-from tools.codereview import CodereviewTool
+from tools.codereview import CodeReviewTool
 from tools.debug import DebugIssueTool
 
 
@@ -32,9 +32,6 @@ class TestWorkflowToolsUTF8(unittest.TestCase):
 
     def test_workflow_json_response_structure(self):
         """Test the structure of JSON responses from workflow tools."""
-        # Test with analysis tool
-        analyze_tool = AnalyzeTool()
-
         # Mock response with UTF-8 characters
         test_response = {
             "status": "pause_for_analysis",
@@ -44,9 +41,7 @@ class TestWorkflowToolsUTF8(unittest.TestCase):
             "findings": "Code analysis reveals performance issues 🔍",
             "files_checked": ["/src/main.py"],
             "relevant_files": ["/src/main.py"],
-            "issues_found": [
+            "issues_found": [{"severity": "high", "description": "Function too complex - refactoring needed"}],
-                {"severity": "high", "description": "Function too complex - refactoring needed"}
-            ],
             "investigation_required": True,
             "required_actions": ["Review code dependencies", "Analyze architectural patterns"],
         }
@@ -55,10 +50,6 @@ class TestWorkflowToolsUTF8(unittest.TestCase):
         json_str = json.dumps(test_response, indent=2, ensure_ascii=False)
 
         # UTF-8 checks
-        self.assertIn("révèle", json_str)
-        self.assertIn("problèmes", json_str)
-        self.assertIn("nécessaire", json_str)
-        self.assertIn("dépendances", json_str)
         self.assertIn("🔍", json_str)
 
         # No escaped characters
@@ -68,7 +59,6 @@ class TestWorkflowToolsUTF8(unittest.TestCase):
         parsed = json.loads(json_str)
         self.assertEqual(parsed["findings"], test_response["findings"])
         self.assertEqual(len(parsed["issues_found"]), 1)
-        self.assertIn("nécessaire", parsed["issues_found"][0]["description"])
 
     @patch("tools.shared.base_tool.BaseTool.get_model_provider")
     def test_analyze_tool_utf8_response(self, mock_get_provider):
@@ -153,7 +143,7 @@ class TestWorkflowToolsUTF8(unittest.TestCase):
         mock_get_provider.return_value = mock_provider
 
         # Test the tool
-        codereview_tool = CodereviewTool()
+        codereview_tool = CodeReviewTool()
         result = codereview_tool.execute(
             {
                 "step": "Complete review of Python code",
@@ -174,283 +164,125 @@ class TestWorkflowToolsUTF8(unittest.TestCase):
         # Check UTF-8 characters in analysis
         if "expert_analysis" in response_data:
             analysis = response_data["expert_analysis"]["raw_analysis"]
-            # Vérification de caractères français
             # Check for French characters
-            self.assertIn("ÉLEVÉ", analysis)is)
+            self.assertIn("ÉLEVÉ", analysis)
-            self.assertIn("problème", analysis)sis)
+            self.assertIn("problème", analysis)
             self.assertIn("spécialisées", analysis)
             self.assertIn("appropriée", analysis)
             self.assertIn("paramètres", analysis)
             self.assertIn("présents", analysis)
-            # Vérification d'emojis
+            # Check for emojis
-            # Check for emojislysis)
             self.assertIn("🔴", analysis)
             self.assertIn("🟠", analysis)
             self.assertIn("🟡", analysis)
             self.assertIn("✅", analysis)
+
     @patch("tools.shared.base_tool.BaseTool.get_model_provider")
-    @patch("tools.shared.base_tool.BaseTool.get_model_provider")vider):
     def test_debug_tool_french_error_analysis(self, mock_get_provider):
         """Test that the debug tool analyzes errors in French."""
-        # Mock providerck()
+        # Mock provider
-        mock_provider = Mock()ider_type.return_value = Mock(value="test")
+        mock_provider = Mock()
         mock_provider.get_provider_type.return_value = Mock(value="test")
-        mock_provider.generate_content.return_value = Mock(n définie. Cause probable: import manquant.",
+        mock_provider.generate_content.return_value = Mock(
             content="Error analyzed: variable 'données' not defined. Probable cause: missing import.",
-            usage={},e="test-model",
+            usage={},
             model_name="test-model",
             metadata={},
-        )ock_get_provider.return_value = mock_provider
+        )
         mock_get_provider.return_value = mock_provider
-        # Test de l'outil debug
+
-        # Test the debug toolTool()
+        # Test the debug tool
         debug_tool = DebugIssueTool()
         result = debug_tool.execute(
-            {   "step": "Analyser l'erreur NameError dans le fichier de traitement des données",
+            {
                 "step": "Analyze NameError in data processing file",
                 "step_number": 1,
-                "total_steps": 2,ed": True,
+                "total_steps": 2,
-                "next_step_required": True,e lors de l'exécution du script",
+                "next_step_required": True,
                 "findings": "Error detected during script execution",
-                "files_checked": ["/src/data_processor.py"],,
+                "files_checked": ["/src/data_processor.py"],
-                "relevant_files": ["/src/data_processor.py"], - import manquant",
+                "relevant_files": ["/src/data_processor.py"],
                 "hypothesis": "Variable 'données' not defined - missing import",
                 "confidence": "medium",
                 "model": "test-model",
             }
         )
-        # Vérifications
+
-        # CheckstNone(result)
+        # Checks
-        self.assertIsNotNone(result)xt
+        self.assertIsNotNone(result)
-        response_text = result[0].textponse_text)
+        response_text = result[0].text
         response_data = json.loads(response_text)
-        # Vérification de la structure de réponse
+
         # Check response structure
-        self.assertIn("status", response_data)response_data)
+        self.assertIn("status", response_data)
         self.assertIn("investigation_status", response_data)
-        # Vérification que les caractères UTF-8 sont préservés
+
-        # Check that UTF-8 characters are preservedFalse)
+        # Check that UTF-8 characters are preserved
         response_str = json.dumps(response_data, ensure_ascii=False)
-        self.assertIn("données", response_str))
+        self.assertIn("données", response_str)
-        self.assertIn("détectée", response_str))
+
-        self.assertIn("exécution", response_str)
+    def test_json_utf8_serialization(self):
-        self.assertIn("définie", response_str)
+        """Test UTF-8 serialization with ensure_ascii=False."""
-    def test_workflow_mixin_utf8_serialization(self):
+        # Test data with French characters and emojis
-    def test_workflow_mixin_utf8_serialization(self):lowMixin."""
+        test_data = {
-        """Test UTF-8 serialization in BaseWorkflowMixin."""
+            "analyse": {
-        # Simulation of a workflow response with UTF-8 characters
+                "statut": "terminée",
-        workflow_response = {g_expert_analysis",
+                "résultat": "Aucun problème critique détecté",
-            "status": "calling_expert_analysis",
+                "recommandations": [
-            "step_number": 2,
+                    "Améliorer la documentation",
-            "total_steps": 3,ed": True,
+                    "Optimiser les performances",
-            "next_step_required": True,",
+                    "Ajouter des tests unitaires",
-            "continuation_id": "test-id",
+                ],
-            "file_context": {y_embedded",
+                "métadonnées": {
-                "type": "fully_embedded",
+                    "créé_par": "Développeur Principal",
-                "files_embedded": 2,n": "Contexte optimisé pour l'analyse experte",
+                    "date_création": "2024-01-01",
-                "context_optimization": "Context optimized for expert analysis",
+                    "dernière_modification": "2024-01-15",
-            },xpert_analysis": {
+                },
-            "expert_analysis": {sis_complete",
+                "émojis_status": {
-                "status": "analysis_complete",
+                    "critique": "🔴",
-                "raw_analysis": """
+                    "élevé": "🟠",
-Complete system analysis reveals:
+                    "moyen": "🟡",
-🎯 **Objectif**: Améliorer les performances
+                    "faible": "🟢",
-🎯 **Objective**: Improve performancenamique
+                    "succès": "✅",
-🔍 **Methodology**: Static and dynamic analysis
+                    "erreur": "❌",
-📊 **Results**: nérale: satisfaisante
-  • Overall performance: satisfactoryées
-  • Possible optimizations: 3 identifiedlog n)
-  • Algorithmic complexity: O(n²) → O(n log n)
-**Recommandations prioritaires**:
-**Priority recommendations**:es données
-1. Optimize the data sorting functionréquentes
-2. Implement a cache for frequent requests
-3. Refactor the report generation module
-🚀 **Impact attendu**: Amélioration de 40% des performances
-🚀 **Expected impact**: 40% improvement in performance
-""",        },
-            },nvestigation_summary": {
-            "investigation_summary": {rc/performance.py", "/src/cache.py"],
-                "files_analyzed": ["/src/performance.py", "/src/cache.py"],nt des données",
-                "key_findings": "Optimizations identified in data processing",
-                "recommendations": "Implement caching and algorithmic improvement",
                 },
             }
-        # Test de sérialisation avec ensure_ascii=False
+        }
-        # Test serialization with ensure_ascii=False=2, ensure_ascii=False)
+
-        json_str = json.dumps(workflow_response, indent=2, ensure_ascii=False)
+        # Test with ensure_ascii=False
-        # Vérifications de préservation UTF-8
+        json_correct = json.dumps(test_data, ensure_ascii=False, indent=2)
-        # UTF-8 preservation checks
+
-        utf8_chars = [
+        # Checks
-            "révèle",ogie",
+        utf8_terms = [
-            "Méthodologie",
+            "terminée",
-            "générale",s",
+            "résultat",
-            "identifiées",,
+            "détecté",
-            "prioritaires",
+            "Améliorer",
-            "données",s",
+            "créé_par",
-            "fréquentes",
+            "Développeur",
-            "génération",
+            "création",
-            "attendu",ion",
+            "métadonnées",
-            "Amélioration",
+            "dernière",
-            "identifiées",,
+            "émojis_status",
-            "amélioration",
+            "élevé",
         ]
-        for char_seq in utf8_chars:
+
-        for char_seq in utf8_chars: json_str)
+        emojis = ["🔴", "🟠", "🟡", "🟢", "✅", "❌"]
-            self.assertIn(char_seq, json_str)
+
-        # Vérifications d'emojis
+        for term in utf8_terms:
-        # Emoji checks", "🚀"]
+            self.assertIn(term, json_correct)
-        emojis = ["🎯", "🔍", "📊", "🚀"]
+
-        for emoji in emojis:oji, json_str)
+        for emoji in emojis:
-            self.assertIn(emoji, json_str)
+            self.assertIn(emoji, json_correct)
-        # Pas de caractères échappés
+
-        # No escaped characters_str)
+        # Check for escaped characters
-        self.assertNotIn("\\u", json_str)
+        self.assertNotIn("\\u", json_correct)
-        # Test de parsing
+
-        # Test parsingds(json_str)
+        # Test parsing
-        parsed = json.loads(json_str)
+        parsed = json.loads(json_correct)
-        self.assertEqual(t_analysis"]["raw_analysis"], workflow_response["expert_analysis"]["raw_analysis"]
+        self.assertEqual(parsed["analyse"]["statut"], "terminée")
-            parsed["expert_analysis"]["raw_analysis"], workflow_response["expert_analysis"]["raw_analysis"]
+        self.assertEqual(parsed["analyse"]["émojis_status"]["critique"], "🔴")
-        )
+
-    def test_file_context_utf8_handling(self):
-    def test_file_context_utf8_handling(self):xte de fichiers."""
-        """Test UTF-8 handling in file context."""
-        # Create a temporary file with UTF-8 content
-        french_code = '''#!/usr/bin/env python3
-"""ule de traitement des données utilisateur.
-Module for processing user data.
-Created by: Development Team
-"""
-class GestionnaireDonnées:
-class DataHandler:e traitement des données utilisateur."""
-    """Handler for processing user data."""
-    def __init__(self):
-    def __init__(self):{}
-        self.data = {}= {}
-        self.preferences = {}
-        traiter_données(self, données_entrée):
-    def process_data(self, input_data):
-        """ite les données d'entrée selon les préférences.
-        Processes input data according to preferences.
-        Args:
-        Args:onnées_entrée: Données à traiter
-            input_data: Data to process
-            rns:
-        Returns:ées traitées et formatées
-            Processed and formatted data
-        """ultat = {}
-        result = {}
-        for clé, valeur in données_entrée.items():
-        for key, value in input_data.items():
-            if self._validate_data(value):r_données(valeur)
-                result[key] = self._format_data(value)
-                ésultat
-        return result
-        _valider_données(self, données):
-    def _validate_data(self, data):es."""
-        """Validates the structure of the data."""(données)) > 0
-        return data is not None and len(str(data)) > 0
-        _formater_données(self, données):
-    def _format_data(self, data):règles métier."""
-        """Formats the data according to business rules."""
-        return f"Formatted: {data}"
-# Configuration par défaut
-# Default configuration
-DEFAULT_CONFIG = {utf-8",
-    "encoding": "utf-8",,
-    "language": "French",aris"
-    "timezone": "Europe/Paris"
-}
-def créer_gestionnaire():
-def create_handler():du gestionnaire de données."""
-    """Creates an instance of the data handler."""
-    return DataHandler()
-'''
-        with tempfile.NamedTemporaryFile(mode="w", encoding="utf-8", suffix=".py", delete=False) as f:
-        with tempfile.NamedTemporaryFile(mode="w", encoding="utf-8", suffix=".py", delete=False) as f:
-            f.write(french_code)
-            temp_file = f.name
-        try:
-        try:# Test de lecture et traitement UTF-8
-            # Test reading and processing UTF-8tf-8") as f:
-            with open(temp_file, "r", encoding="utf-8") as f:
-                content = f.read()
-            # Simulation du contexte de fichier pour workflow
-            # Simulate file context for workflow
-            file_context = { temp_file,
-                "file_path": temp_file,
-                "content": content,,
-                "encoding": "utf-8", Python avec noms de variables en français",
-                "analysis": "Python file with variable names in French",
-                "metrics": { len(content.split("\n")),
-                    "lines": len(content.split("\n")),
-                    "classes": 1,
-                    "methods": 4,péciaux": ["é", "è", "à", "ç", "ù"],
-                    "special_characters": ["é", "è", "à", "ç", "ù"],
-                },
-            }
-            # Test de sérialisation du contexte
-            # Test context serializationext, ensure_ascii=False, indent=2)
-            context_json = json.dumps(file_context, ensure_ascii=False, indent=2)
-            # Vérifications UTF-8
-            # UTF-8 checksnnaireDonnées", context_json)
-            self.assertIn("DataHandler", context_json)
-            self.assertIn("data", context_json)son)
-            self.assertIn("preferences", context_json)on)
-            self.assertIn("input_data", context_json)n)
-            self.assertIn("format_data", context_json)n)
-            self.assertIn("create_handler", context_json)
-            self.assertIn("French", context_json)
-            # Test de parsing
-            # Test parsingjson.loads(context_json)
-            parsed_context = json.loads(context_json)], content)
-            self.assertEqual(parsed_context["content"], content))
-            self.assertIn("French", parsed_context["analysis"])
-        finally:
-        finally:ttoyage
-            # Cleanupemp_file)
-            os.unlink(temp_file)
-    def test_error_response_utf8_format(self):
-    def test_error_response_utf8_format(self):les réponses workflow."""
-        """Test UTF-8 error format in workflow responses."""
-        # Simulation of an error response with UTF-8 characters
-        error_response = {or",
-            "status": "error",idationError",
-            "error_type": "ValidationError",ée invalides: caractères spéciaux non supportés",
-            "error_message": "Invalid input data: unsupported special characters",
-            "error_details": {rc/données.py",
-                "file": "/src/données.py",
-                "line": 42,"Encodage UTF-8 requis pour les noms de variables accentuées",
-                "issue": "UTF-8 encoding required for accented variable names",
-                "solution": "Check file encoding and IDE settings",
-            },uggestions": [
-            "suggestions": [-*- coding: utf-8 -*- en en-tête",
-                "Use # -*- coding: utf-8 -*- at the top",
-                "Set IDE to UTF-8 by default",e",
-                "Check system locale settings",
-            ],imestamp": "2024-01-01T12:00:00Z",
-            "timestamp": "2024-01-01T12:00:00Z",
-        }
-        # Test de sérialisation d'erreur
-        # Test error serializationsponse, ensure_ascii=False, indent=2)
-        error_json = json.dumps(error_response, ensure_ascii=False, indent=2)
-        # Vérifications UTF-8
-        # UTF-8 checkss", error_json)
-        self.assertIn("Données", error_json)
-        self.assertIn("entrée", error_json)n)
-        self.assertIn("spéciaux", error_json))
-        self.assertIn("supportés", error_json))
-        self.assertIn("données.py", error_json)
-        self.assertIn("problème", error_json)n)
-        self.assertIn("accentuées", error_json)
-        self.assertIn("Vérifier", error_json)n)
-        self.assertIn("paramètres", error_json)
-        # Test de parsing
-        # Test parsingon.loads(error_json)
-        parsed_error = json.loads(error_json)type"], "ValidationError")
-        self.assertEqual(parsed_error["error_type"], "ValidationError")lème"])
-        self.assertIn("accentuées", parsed_error["error_details"]["problème"])
 
 if __name__ == "__main__":
-if __name__ == "__main__":y=2)
     unittest.main(verbosity=2)