🔥(project) remove previous AI feature

We replace the previous AI feature with a new one
that uses the BlockNote AI service.
We can remove the dead codes.

Author: AntoLC

src/backend/core/api/serializers.py

@@ -673,36 +673,6 @@ class VersionFilterSerializer(serializers.Serializer):
     )
 
 
-class AITransformSerializer(serializers.Serializer):
-    """Serializer for AI transform requests."""
-
-    action = serializers.ChoiceField(choices=AI_ACTIONS, required=True)
-    text = serializers.CharField(required=True)
-
-    def validate_text(self, value):
-        """Ensure the text field is not empty."""
-
-        if len(value.strip()) == 0:
-            raise serializers.ValidationError("Text field cannot be empty.")
-        return value
-
-
-class AITranslateSerializer(serializers.Serializer):
-    """Serializer for AI translate requests."""
-
-    language = serializers.ChoiceField(
-        choices=tuple(enums.ALL_LANGUAGES.items()), required=True
-    )
-    text = serializers.CharField(required=True)
-
-    def validate_text(self, value):
-        """Ensure the text field is not empty."""
-
-        if len(value.strip()) == 0:
-            raise serializers.ValidationError("Text field cannot be empty.")
-        return value
-
-
 class AIProxySerializer(serializers.Serializer):
     """Serializer for AI proxy requests."""
 

src/backend/core/api/viewsets.py

@@ -435,7 +435,6 @@ class DocumentViewSet(
     ]
     queryset = models.Document.objects.all()
     serializer_class = serializers.DocumentSerializer
-    ai_translate_serializer_class = serializers.AITranslateSerializer
     children_serializer_class = serializers.ListDocumentSerializer
     descendants_serializer_class = serializers.ListDocumentSerializer
     list_serializer_class = serializers.ListDocumentSerializer
@@ -1372,62 +1371,6 @@ def ai_proxy(self, request, *args, **kwargs):
         response = AIService().proxy(request.data)
         return drf.response.Response(response, status=drf.status.HTTP_200_OK)
 
-    @drf.decorators.action(
-        detail=True,
-        methods=["post"],
-        name="Apply a transformation action on a piece of text with AI",
-        url_path="ai-transform",
-        throttle_classes=[utils.AIDocumentRateThrottle, utils.AIUserRateThrottle],
-    )
-    def ai_transform(self, request, *args, **kwargs):
-        """
-        POST /api/v1.0/documents/<resource_id>/ai-transform
-        with expected data:
-        - text: str
-        - action: str [prompt, correct, rephrase, summarize]
-        Return JSON response with the processed text.
-        """
-        # Check permissions first
-        self.get_object()
-
-        serializer = serializers.AITransformSerializer(data=request.data)
-        serializer.is_valid(raise_exception=True)
-
-        text = serializer.validated_data["text"]
-        action = serializer.validated_data["action"]
-
-        response = AIService().transform(text, action)
-
-        return drf.response.Response(response, status=drf.status.HTTP_200_OK)
-
-    @drf.decorators.action(
-        detail=True,
-        methods=["post"],
-        name="Translate a piece of text with AI",
-        url_path="ai-translate",
-        throttle_classes=[utils.AIDocumentRateThrottle, utils.AIUserRateThrottle],
-    )
-    def ai_translate(self, request, *args, **kwargs):
-        """
-        POST /api/v1.0/documents/<resource_id>/ai-translate
-        with expected data:
-        - text: str
-        - language: str [settings.LANGUAGES]
-        Return JSON response with the translated text.
-        """
-        # Check permissions first
-        self.get_object()
-
-        serializer = self.get_serializer(data=request.data)
-        serializer.is_valid(raise_exception=True)
-
-        text = serializer.validated_data["text"]
-        language = serializer.validated_data["language"]
-
-        response = AIService().translate(text, language)
-
-        return drf.response.Response(response, status=drf.status.HTTP_200_OK)
-
     @drf.decorators.action(
         detail=True,
         methods=["get"],

src/backend/core/services/ai_services.py

@@ -9,49 +9,6 @@
 
 log = logging.getLogger(__name__)
 
-AI_ACTIONS = {
-    "prompt": (
-        "Answer the prompt in markdown format. "
-        "Preserve the language and markdown formatting. "
-        "Do not provide any other information. "
-        "Preserve the language."
-    ),
-    "correct": (
-        "Correct grammar and spelling of the markdown text, "
-        "preserving language and markdown formatting. "
-        "Do not provide any other information. "
-        "Preserve the language."
-    ),
-    "rephrase": (
-        "Rephrase the given markdown text, "
-        "preserving language and markdown formatting. "
-        "Do not provide any other information. "
-        "Preserve the language."
-    ),
-    "summarize": (
-        "Summarize the markdown text, preserving language and markdown formatting. "
-        "Do not provide any other information. "
-        "Preserve the language."
-    ),
-    "beautify": (
-        "Add formatting to the text to make it more readable. "
-        "Do not provide any other information. "
-        "Preserve the language."
-    ),
-    "emojify": (
-        "Add emojis to the important parts of the text. "
-        "Do not provide any other information. "
-        "Preserve the language."
-    ),
-}
-
-AI_TRANSLATE = (
-    "Keep the same html structure and formatting. "
-    "Translate the content in the html to the specified language {language:s}. "
-    "Check the translation for accuracy and make any necessary corrections. "
-    "Do not provide any other information."
-)
-
 
 class AIService:
     """Service class for AI-related operations."""
@@ -82,17 +39,6 @@ def call_ai_api(self, system_content, text):
             raise RuntimeError("AI response does not contain an answer")
 
         return {"answer": content}
-
-    def transform(self, text, action):
-        """Transform text based on specified action."""
-        system_content = AI_ACTIONS[action]
-        return self.call_ai_api(system_content, text)
-
-    def translate(self, text, language):
-        """Translate text to a specified language."""
-        language_display = enums.ALL_LANGUAGES.get(language, language)
-        system_content = AI_TRANSLATE.format(language=language_display)
-        return self.call_ai_api(system_content, text)
 
     def proxy(self, data:dict) -> dict:
         """Proxy AI API requests to the configured AI provider."""