🔥(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.
This commit is contained in:
Anthony LC
2026-01-27 17:53:18 +01:00
parent dd68b5a1b3
commit 270d87b0a4
18 changed files with 33 additions and 1570 deletions
-31
View File
@@ -17,7 +17,6 @@ from rest_framework import serializers
from core import choices, enums, models, utils, validators
from core.services import mime_types
from core.services.ai_services import AI_ACTIONS
from core.services.converter_services import (
ConversionError,
Converter,
@@ -792,36 +791,6 @@ 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."""
-57
View File
@@ -378,7 +378,6 @@ class DocumentViewSet(
throttle_scope = "document"
queryset = models.Document.objects.select_related("creator").all()
serializer_class = serializers.DocumentSerializer
ai_translate_serializer_class = serializers.AITranslateSerializer
all_serializer_class = serializers.ListDocumentSerializer
children_serializer_class = serializers.ListDocumentSerializer
descendants_serializer_class = serializers.ListDocumentSerializer
@@ -1654,62 +1653,6 @@ class DocumentViewSet(
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)
def _reject_invalid_ips(self, ips):
"""
Check if an IP address is safe from SSRF attacks.
-75
View File
@@ -5,8 +5,6 @@ import logging
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from core import enums
if settings.LANGFUSE_PUBLIC_KEY:
from langfuse.openai import OpenAI
else:
@@ -15,51 +13,6 @@ else:
log = logging.getLogger(__name__)
AI_ACTIONS = {
"prompt": (
"Answer the prompt using markdown formatting for structure and emphasis. "
"Return the content directly without wrapping it in code blocks or markdown delimiters. "
"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."""
@@ -73,34 +26,6 @@ class AIService:
raise ImproperlyConfigured("AI configuration not set")
self.client = OpenAI(base_url=settings.AI_BASE_URL, api_key=settings.AI_API_KEY)
def call_ai_api(self, system_content, text):
"""Helper method to call the OpenAI API and process the response."""
response = self.client.chat.completions.create(
model=settings.AI_MODEL,
messages=[
{"role": "system", "content": system_content},
{"role": "user", "content": text},
],
)
content = response.choices[0].message.content
if not content:
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."""
data["stream"] = False
@@ -1,362 +0,0 @@
"""
Test AI transform API endpoint for users in impress's core app.
"""
import random
from unittest.mock import MagicMock, patch
from django.test import override_settings
import pytest
from rest_framework.test import APIClient
from core import factories
from core.tests.conftest import TEAM, USER, VIA
pytestmark = pytest.mark.django_db
@pytest.fixture
def ai_settings():
"""Fixture to set AI settings."""
with override_settings(
AI_BASE_URL="http://example.com", AI_API_KEY="test-key", AI_MODEL="llama"
):
yield
@override_settings(
AI_ALLOW_REACH_FROM=random.choice(["public", "authenticated", "restricted"])
)
@pytest.mark.parametrize(
"reach, role",
[
("restricted", "reader"),
("restricted", "editor"),
("authenticated", "reader"),
("authenticated", "editor"),
("public", "reader"),
],
)
def test_api_documents_ai_transform_anonymous_forbidden(reach, role):
"""
Anonymous users should not be able to request AI transform if the link reach
and role don't allow it.
"""
document = factories.DocumentFactory(link_reach=reach, link_role=role)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = APIClient().post(url, {"text": "hello", "action": "prompt"})
assert response.status_code == 401
assert response.json() == {
"detail": "Authentication credentials were not provided."
}
@override_settings(AI_ALLOW_REACH_FROM="public")
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_transform_anonymous_success(mock_create):
"""
Anonymous users should be able to request AI transform to a document
if the link reach and role permit it.
"""
document = factories.DocumentFactory(link_reach="public", link_role="editor")
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = APIClient().post(url, {"text": "Hello", "action": "summarize"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
mock_create.assert_called_once_with(
model="llama",
messages=[
{
"role": "system",
"content": (
"Summarize the markdown text, preserving language and markdown formatting. "
"Do not provide any other information. Preserve the language."
),
},
{"role": "user", "content": "Hello"},
],
)
@override_settings(AI_ALLOW_REACH_FROM=random.choice(["authenticated", "restricted"]))
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_transform_anonymous_limited_by_setting(mock_create):
"""
Anonymous users should be able to request AI transform to a document
if the link reach and role permit it.
"""
document = factories.DocumentFactory(link_reach="public", link_role="editor")
answer = '{"answer": "Salut"}'
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content=answer))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = APIClient().post(url, {"text": "Hello", "action": "summarize"})
assert response.status_code == 401
@pytest.mark.parametrize(
"reach, role",
[
("restricted", "reader"),
("restricted", "editor"),
("authenticated", "reader"),
("public", "reader"),
],
)
def test_api_documents_ai_transform_authenticated_forbidden(reach, role):
"""
Users who are not related to a document can't request AI transform if the
link reach and role don't allow it.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach=reach, link_role=role)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "prompt"})
assert response.status_code == 403
assert response.json() == {
"detail": "You do not have permission to perform this action."
}
@pytest.mark.parametrize(
"reach, role",
[
("authenticated", "editor"),
("public", "editor"),
],
)
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_transform_authenticated_success(mock_create, reach, role):
"""
Authenticated who are not related to a document should be able to request AI transform
if the link reach and role permit it.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach=reach, link_role=role)
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "prompt"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
mock_create.assert_called_once_with(
model="llama",
messages=[
{
"role": "system",
"content": (
"Answer the prompt using markdown formatting for structure and emphasis. "
"Return the content directly without wrapping it in code blocks or markdown delimiters. "
"Preserve the language and markdown formatting. "
"Do not provide any other information. "
"Preserve the language."
),
},
{"role": "user", "content": "Hello"},
],
)
@pytest.mark.parametrize("via", VIA)
def test_api_documents_ai_transform_reader(via, mock_user_teams):
"""
Users who are simple readers on a document should not be allowed to request AI transform.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_role="reader")
if via == USER:
factories.UserDocumentAccessFactory(document=document, user=user, role="reader")
elif via == TEAM:
mock_user_teams.return_value = ["lasuite", "unknown"]
factories.TeamDocumentAccessFactory(
document=document, team="lasuite", role="reader"
)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "prompt"})
assert response.status_code == 403
assert response.json() == {
"detail": "You do not have permission to perform this action."
}
@pytest.mark.parametrize("role", ["editor", "administrator", "owner"])
@pytest.mark.parametrize("via", VIA)
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_transform_success(mock_create, via, role, mock_user_teams):
"""
Editors, administrators and owners of a document should be able to request AI transform.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory()
if via == USER:
factories.UserDocumentAccessFactory(document=document, user=user, role=role)
elif via == TEAM:
mock_user_teams.return_value = ["lasuite", "unknown"]
factories.TeamDocumentAccessFactory(
document=document, team="lasuite", role=role
)
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "prompt"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
mock_create.assert_called_once_with(
model="llama",
messages=[
{
"role": "system",
"content": (
"Answer the prompt using markdown formatting for structure and emphasis. "
"Return the content directly without wrapping it in code blocks or markdown delimiters. "
"Preserve the language and markdown formatting. "
"Do not provide any other information. "
"Preserve the language."
),
},
{"role": "user", "content": "Hello"},
],
)
def test_api_documents_ai_transform_empty_text():
"""The text should not be empty when requesting AI transform."""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": " ", "action": "prompt"})
assert response.status_code == 400
assert response.json() == {"text": ["This field may not be blank."]}
def test_api_documents_ai_transform_invalid_action():
"""The action should valid when requesting AI transform."""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "invalid"})
assert response.status_code == 400
assert response.json() == {"action": ['"invalid" is not a valid choice.']}
@override_settings(AI_DOCUMENT_RATE_THROTTLE_RATES={"minute": 3, "hour": 6, "day": 10})
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_transform_throttling_document(mock_create):
"""
Throttling per document should be triggered on the AI transform endpoint.
For full throttle class test see: `test_api_utils_ai_document_rate_throttles`
"""
client = APIClient()
document = factories.DocumentFactory(link_reach="public", link_role="editor")
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
for _ in range(3):
user = factories.UserFactory()
client.force_login(user)
response = client.post(url, {"text": "Hello", "action": "summarize"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
user = factories.UserFactory()
client.force_login(user)
response = client.post(url, {"text": "Hello", "action": "summarize"})
assert response.status_code == 429
assert response.json() == {
"detail": "Request was throttled. Expected available in 60 seconds."
}
@override_settings(AI_USER_RATE_THROTTLE_RATES={"minute": 3, "hour": 6, "day": 10})
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_transform_throttling_user(mock_create):
"""
Throttling per user should be triggered on the AI transform endpoint.
For full throttle class test see: `test_api_utils_ai_user_rate_throttles`
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
for _ in range(3):
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "summarize"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-transform/"
response = client.post(url, {"text": "Hello", "action": "summarize"})
assert response.status_code == 429
assert response.json() == {
"detail": "Request was throttled. Expected available in 60 seconds."
}
@@ -1,384 +0,0 @@
"""
Test AI translate API endpoint for users in impress's core app.
"""
import random
from unittest.mock import MagicMock, patch
from django.test import override_settings
import pytest
from rest_framework.test import APIClient
from core import factories
from core.tests.conftest import TEAM, USER, VIA
pytestmark = pytest.mark.django_db
@pytest.fixture
def ai_settings():
"""Fixture to set AI settings."""
with override_settings(
AI_BASE_URL="http://example.com", AI_API_KEY="test-key", AI_MODEL="llama"
):
yield
def test_api_documents_ai_translate_viewset_options_metadata():
"""The documents endpoint should give us the list of available languages."""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
factories.DocumentFactory(link_reach="public", link_role="editor")
response = APIClient().options("/api/v1.0/documents/")
assert response.status_code == 200
metadata = response.json()
assert metadata["name"] == "Document List"
assert metadata["actions"]["POST"]["language"]["choices"][0] == {
"value": "af",
"display_name": "Afrikaans",
}
@override_settings(
AI_ALLOW_REACH_FROM=random.choice(["public", "authenticated", "restricted"])
)
@pytest.mark.parametrize(
"reach, role",
[
("restricted", "reader"),
("restricted", "editor"),
("authenticated", "reader"),
("authenticated", "editor"),
("public", "reader"),
],
)
def test_api_documents_ai_translate_anonymous_forbidden(reach, role):
"""
Anonymous users should not be able to request AI translate if the link reach
and role don't allow it.
"""
document = factories.DocumentFactory(link_reach=reach, link_role=role)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = APIClient().post(url, {"text": "hello", "language": "es"})
assert response.status_code == 401
assert response.json() == {
"detail": "Authentication credentials were not provided."
}
@override_settings(AI_ALLOW_REACH_FROM="public")
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_translate_anonymous_success(mock_create):
"""
Anonymous users should be able to request AI translate to a document
if the link reach and role permit it.
"""
document = factories.DocumentFactory(link_reach="public", link_role="editor")
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Ola"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = APIClient().post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 200
assert response.json() == {"answer": "Ola"}
mock_create.assert_called_once_with(
model="llama",
messages=[
{
"role": "system",
"content": (
"Keep the same html structure and formatting. "
"Translate the content in the html to the specified language Spanish. "
"Check the translation for accuracy and make any necessary corrections. "
"Do not provide any other information."
),
},
{"role": "user", "content": "Hello"},
],
)
@override_settings(AI_ALLOW_REACH_FROM=random.choice(["authenticated", "restricted"]))
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_translate_anonymous_limited_by_setting(mock_create):
"""
Anonymous users should be able to request AI translate to a document
if the link reach and role permit it.
"""
document = factories.DocumentFactory(link_reach="public", link_role="editor")
answer = '{"answer": "Salut"}'
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content=answer))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = APIClient().post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 401
@pytest.mark.parametrize(
"reach, role",
[
("restricted", "reader"),
("restricted", "editor"),
("authenticated", "reader"),
("public", "reader"),
],
)
def test_api_documents_ai_translate_authenticated_forbidden(reach, role):
"""
Users who are not related to a document can't request AI translate if the
link reach and role don't allow it.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach=reach, link_role=role)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 403
assert response.json() == {
"detail": "You do not have permission to perform this action."
}
@pytest.mark.parametrize(
"reach, role",
[
("authenticated", "editor"),
("public", "editor"),
],
)
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_translate_authenticated_success(mock_create, reach, role):
"""
Authenticated who are not related to a document should be able to request AI translate
if the link reach and role permit it.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach=reach, link_role=role)
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "es-co"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
mock_create.assert_called_once_with(
model="llama",
messages=[
{
"role": "system",
"content": (
"Keep the same html structure and formatting. "
"Translate the content in the html to the "
"specified language Colombian Spanish. "
"Check the translation for accuracy and make any necessary corrections. "
"Do not provide any other information."
),
},
{"role": "user", "content": "Hello"},
],
)
@pytest.mark.parametrize("via", VIA)
def test_api_documents_ai_translate_reader(via, mock_user_teams):
"""
Users who are simple readers on a document should not be allowed to request AI translate.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_role="reader")
if via == USER:
factories.UserDocumentAccessFactory(document=document, user=user, role="reader")
elif via == TEAM:
mock_user_teams.return_value = ["lasuite", "unknown"]
factories.TeamDocumentAccessFactory(
document=document, team="lasuite", role="reader"
)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 403
assert response.json() == {
"detail": "You do not have permission to perform this action."
}
@pytest.mark.parametrize("role", ["editor", "administrator", "owner"])
@pytest.mark.parametrize("via", VIA)
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_translate_success(mock_create, via, role, mock_user_teams):
"""
Editors, administrators and owners of a document should be able to request AI translate.
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory()
if via == USER:
factories.UserDocumentAccessFactory(document=document, user=user, role=role)
elif via == TEAM:
mock_user_teams.return_value = ["lasuite", "unknown"]
factories.TeamDocumentAccessFactory(
document=document, team="lasuite", role=role
)
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "es-co"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
mock_create.assert_called_once_with(
model="llama",
messages=[
{
"role": "system",
"content": (
"Keep the same html structure and formatting. "
"Translate the content in the html to the "
"specified language Colombian Spanish. "
"Check the translation for accuracy and make any necessary corrections. "
"Do not provide any other information."
),
},
{"role": "user", "content": "Hello"},
],
)
def test_api_documents_ai_translate_empty_text():
"""The text should not be empty when requesting AI translate."""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": " ", "language": "es"})
assert response.status_code == 400
assert response.json() == {"text": ["This field may not be blank."]}
def test_api_documents_ai_translate_invalid_action():
"""The action should valid when requesting AI translate."""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "invalid"})
assert response.status_code == 400
assert response.json() == {"language": ['"invalid" is not a valid choice.']}
@override_settings(AI_DOCUMENT_RATE_THROTTLE_RATES={"minute": 3, "hour": 6, "day": 10})
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_translate_throttling_document(mock_create):
"""
Throttling per document should be triggered on the AI translate endpoint.
For full throttle class test see: `test_api_utils_ai_document_rate_throttles`
"""
client = APIClient()
document = factories.DocumentFactory(link_reach="public", link_role="editor")
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
for _ in range(3):
user = factories.UserFactory()
client.force_login(user)
response = client.post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
user = factories.UserFactory()
client.force_login(user)
response = client.post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 429
assert response.json() == {
"detail": "Request was throttled. Expected available in 60 seconds."
}
@override_settings(AI_USER_RATE_THROTTLE_RATES={"minute": 3, "hour": 6, "day": 10})
@pytest.mark.usefixtures("ai_settings")
@patch("openai.resources.chat.completions.Completions.create")
def test_api_documents_ai_translate_throttling_user(mock_create):
"""
Throttling per user should be triggered on the AI translate endpoint.
For full throttle class test see: `test_api_utils_ai_user_rate_throttles`
"""
user = factories.UserFactory()
client = APIClient()
client.force_login(user)
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
for _ in range(3):
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 200
assert response.json() == {"answer": "Salut"}
document = factories.DocumentFactory(link_reach="public", link_role="editor")
url = f"/api/v1.0/documents/{document.id!s}/ai-translate/"
response = client.post(url, {"text": "Hello", "language": "es"})
assert response.status_code == 429
assert response.json() == {
"detail": "Request was throttled. Expected available in 60 seconds."
}
@@ -30,8 +30,6 @@ def test_api_documents_retrieve_anonymous_public_standalone():
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": False,
"ai_transform": False,
"ai_translate": False,
"attachment_upload": document.link_role == "editor",
"can_edit": document.link_role == "editor",
"children_create": False,
@@ -109,8 +107,6 @@ def test_api_documents_retrieve_anonymous_public_parent():
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": False,
"ai_transform": False,
"ai_translate": False,
"attachment_upload": grand_parent.link_role == "editor",
"can_edit": grand_parent.link_role == "editor",
"children_create": False,
@@ -218,8 +214,6 @@ def test_api_documents_retrieve_authenticated_unrelated_public_or_authenticated(
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": document.link_role == "editor",
"ai_transform": document.link_role == "editor",
"ai_translate": document.link_role == "editor",
"attachment_upload": document.link_role == "editor",
"can_edit": document.link_role == "editor",
"children_create": document.link_role == "editor",
@@ -304,8 +298,6 @@ def test_api_documents_retrieve_authenticated_public_or_authenticated_parent(rea
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": grand_parent.link_role == "editor",
"ai_transform": grand_parent.link_role == "editor",
"ai_translate": grand_parent.link_role == "editor",
"attachment_upload": grand_parent.link_role == "editor",
"can_edit": grand_parent.link_role == "editor",
"children_create": grand_parent.link_role == "editor",
@@ -73,8 +73,6 @@ def test_api_documents_trashbin_format():
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": False,
"ai_transform": False,
"ai_translate": False,
"attachment_upload": False,
"can_edit": False,
"children_create": False,
@@ -156,8 +156,6 @@ def test_models_documents_get_abilities_forbidden(
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": False,
"ai_transform": False,
"ai_translate": False,
"attachment_upload": False,
"can_edit": False,
"children_create": False,
@@ -222,8 +220,6 @@ def test_models_documents_get_abilities_reader(
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": False,
"ai_transform": False,
"ai_translate": False,
"attachment_upload": False,
"can_edit": False,
"children_create": False,
@@ -360,8 +356,6 @@ def test_models_documents_get_abilities_editor(
"accesses_manage": False,
"accesses_view": False,
"ai_proxy": is_authenticated,
"ai_transform": is_authenticated,
"ai_translate": is_authenticated,
"attachment_upload": True,
"can_edit": True,
"children_create": is_authenticated,
@@ -417,8 +411,6 @@ def test_models_documents_get_abilities_owner(django_assert_num_queries):
"accesses_manage": True,
"accesses_view": True,
"ai_proxy": True,
"ai_transform": True,
"ai_translate": True,
"attachment_upload": True,
"can_edit": True,
"children_create": True,
@@ -506,8 +498,6 @@ def test_models_documents_get_abilities_administrator(django_assert_num_queries)
"accesses_manage": True,
"accesses_view": True,
"ai_proxy": True,
"ai_transform": True,
"ai_translate": True,
"attachment_upload": True,
"can_edit": True,
"children_create": True,
@@ -563,8 +553,6 @@ def test_models_documents_get_abilities_editor_user(django_assert_num_queries):
"accesses_manage": False,
"accesses_view": True,
"ai_proxy": True,
"ai_transform": True,
"ai_translate": True,
"attachment_upload": True,
"can_edit": True,
"children_create": True,
@@ -627,8 +615,6 @@ def test_models_documents_get_abilities_reader_user(
# If you get your editor rights from the link role and not your access role
# You should not access AI if it's restricted to users with specific access
"ai_proxy": access_from_link and ai_access_setting != "restricted",
"ai_transform": access_from_link and ai_access_setting != "restricted",
"ai_translate": access_from_link and ai_access_setting != "restricted",
"attachment_upload": access_from_link,
"can_edit": access_from_link,
"children_create": access_from_link,
@@ -755,8 +741,6 @@ def test_models_documents_get_abilities_preset_role(django_assert_num_queries):
"accesses_manage": False,
"accesses_view": True,
"ai_proxy": False,
"ai_transform": False,
"ai_translate": False,
"attachment_upload": False,
"can_edit": False,
"children_create": False,
@@ -887,8 +871,6 @@ def test_models_document_get_abilities_ai_access_authenticated(is_authenticated,
abilities = document.get_abilities(user)
assert abilities["ai_proxy"] is True
assert abilities["ai_transform"] is True
assert abilities["ai_translate"] is True
@override_settings(AI_ALLOW_REACH_FROM="authenticated")
@@ -907,8 +889,6 @@ def test_models_document_get_abilities_ai_access_public(is_authenticated, reach)
abilities = document.get_abilities(user)
assert abilities["ai_proxy"] == is_authenticated
assert abilities["ai_transform"] == is_authenticated
assert abilities["ai_translate"] == is_authenticated
def test_models_documents_get_versions_slice_pagination(settings):
@@ -43,29 +43,11 @@ def test_api_ai__client_error(mock_create):
mock_create.side_effect = OpenAIError("Mocked client error")
with pytest.raises(
OpenAIError,
match="Mocked client error",
):
AIService().transform("hello", "prompt")
@override_settings(
AI_BASE_URL="http://example.com", AI_API_KEY="test-key", AI_MODEL="test-model"
)
@patch("openai.resources.chat.completions.Completions.create")
def test_api_ai__client_invalid_response(mock_create):
"""Fail when the client response is invalid"""
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content=None))]
)
with pytest.raises(
RuntimeError,
match="AI response does not contain an answer",
match="Failed to proxy AI request: Mocked client error",
):
AIService().transform("hello", "prompt")
AIService().proxy({"messages": [{"role": "user", "content": "hello"}]})
@override_settings(
@@ -75,10 +57,35 @@ def test_api_ai__client_invalid_response(mock_create):
def test_api_ai__success(mock_create):
"""The AI request should work as expect when called with valid arguments."""
mock_create.return_value = MagicMock(
choices=[MagicMock(message=MagicMock(content="Salut"))]
)
mock_response = MagicMock()
mock_response.model_dump.return_value = {
"id": "chatcmpl-test",
"object": "chat.completion",
"created": 1234567890,
"model": "test-model",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Salut"},
"finish_reason": "stop",
}
],
}
mock_create.return_value = mock_response
response = AIService().transform("hello", "prompt")
response = AIService().proxy({"messages": [{"role": "user", "content": "hello"}]})
assert response == {"answer": "Salut"}
expected_response = {
"id": "chatcmpl-test",
"object": "chat.completion",
"created": 1234567890,
"model": "test-model",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": "Salut"},
"finish_reason": "stop",
}
],
}
assert response == expected_response
@@ -1,4 +1,3 @@
/* eslint-disable playwright/no-conditional-expect */
import path from 'path';
import { expect, test } from '@playwright/test';
@@ -496,139 +495,6 @@ test.describe('Doc Editor', () => {
await expect(page.getByText('Write with AI')).toBeVisible();
});
test('it checks the AI buttons', async ({ page, browserName }) => {
await page.route(/.*\/ai-translate\//, async (route) => {
const request = route.request();
if (request.method().includes('POST')) {
await route.fulfill({
json: {
answer: 'Bonjour le monde',
},
});
} else {
await route.continue();
}
});
await createDoc(page, 'doc-ai', browserName, 1);
await page.locator('.bn-block-outer').last().fill('Hello World');
const editor = page.locator('.ProseMirror');
await editor.getByText('Hello').selectText();
await page.getByRole('button', { name: 'AI' }).click();
await expect(
page.getByRole('menuitem', { name: 'Use as prompt' }),
).toBeVisible();
await expect(
page.getByRole('menuitem', { name: 'Rephrase' }),
).toBeVisible();
await expect(
page.getByRole('menuitem', { name: 'Summarize' }),
).toBeVisible();
await expect(page.getByRole('menuitem', { name: 'Correct' })).toBeVisible();
await expect(
page.getByRole('menuitem', { name: 'Language' }),
).toBeVisible();
await page.getByRole('menuitem', { name: 'Language' }).hover();
await expect(
page.getByRole('menuitem', { name: 'English', exact: true }),
).toBeVisible();
await expect(
page.getByRole('menuitem', { name: 'French', exact: true }),
).toBeVisible();
await expect(
page.getByRole('menuitem', { name: 'German', exact: true }),
).toBeVisible();
await page.getByRole('menuitem', { name: 'English', exact: true }).click();
await expect(editor.getByText('Bonjour le monde')).toBeVisible();
});
[
{ ai_transform: false, ai_translate: false },
{ ai_transform: true, ai_translate: false },
{ ai_transform: false, ai_translate: true },
].forEach(({ ai_transform, ai_translate }) => {
test(`it checks AI buttons when can transform is at "${ai_transform}" and can translate is at "${ai_translate}"`, async ({
page,
browserName,
}) => {
await mockedDocument(page, {
accesses: [
{
id: 'b0df4343-c8bd-4c20-9ff6-fbf94fc94egg',
role: 'owner',
user: {
email: '[email protected]',
full_name: 'Super Owner',
},
},
],
abilities: {
destroy: true, // Means owner
link_configuration: true,
ai_transform,
ai_translate,
accesses_manage: true,
accesses_view: true,
update: true,
partial_update: true,
retrieve: true,
},
link_reach: 'restricted',
link_role: 'editor',
created_at: '2021-09-01T09:00:00Z',
title: '',
});
const [randomDoc] = await createDoc(
page,
'doc-editor-ai',
browserName,
1,
);
await verifyDocName(page, randomDoc);
await page.locator('.bn-block-outer').last().fill('Hello World');
const editor = page.locator('.ProseMirror');
await editor.getByText('Hello').selectText();
if (!ai_transform && !ai_translate) {
await expect(page.getByRole('button', { name: 'AI' })).toBeHidden();
return;
}
await page.getByRole('button', { name: 'AI' }).click();
if (ai_transform) {
await expect(
page.getByRole('menuitem', { name: 'Use as prompt' }),
).toBeVisible();
} else {
await expect(
page.getByRole('menuitem', { name: 'Use as prompt' }),
).toBeHidden();
}
if (ai_translate) {
await expect(
page.getByRole('menuitem', { name: 'Language' }),
).toBeVisible();
} else {
await expect(
page.getByRole('menuitem', { name: 'Language' }),
).toBeHidden();
}
});
});
test('it downloads unsafe files', async ({ page, browserName }) => {
const [randomDoc] = await createDoc(page, 'doc-editor', browserName, 1);
@@ -1,4 +1,2 @@
export * from './checkDocMediaStatus';
export * from './useCreateDocUpload';
export * from './useDocAITransform';
export * from './useDocAITranslate';
@@ -1,48 +0,0 @@
import { useMutation } from '@tanstack/react-query';
import { APIError, errorCauses, fetchAPI } from '@/api';
export type AITransformActions =
| 'correct'
| 'prompt'
| 'rephrase'
| 'summarize'
| 'beautify'
| 'emojify';
export type DocAITransform = {
docId: string;
text: string;
action: AITransformActions;
};
export type DocAITransformResponse = {
answer: string;
};
export const docAITransform = async ({
docId,
...params
}: DocAITransform): Promise<DocAITransformResponse> => {
const response = await fetchAPI(`documents/${docId}/ai-transform/`, {
method: 'POST',
body: JSON.stringify({
...params,
}),
});
if (!response.ok) {
throw new APIError(
'Failed to request ai transform',
await errorCauses(response),
);
}
return response.json() as Promise<DocAITransformResponse>;
};
export function useDocAITransform() {
return useMutation<DocAITransformResponse, APIError, DocAITransform>({
mutationFn: docAITransform,
});
}
@@ -1,40 +0,0 @@
import { useMutation } from '@tanstack/react-query';
import { APIError, errorCauses, fetchAPI } from '@/api';
export type DocAITranslate = {
docId: string;
text: string;
language: string;
};
export type DocAITranslateResponse = {
answer: string;
};
export const docAITranslate = async ({
docId,
...params
}: DocAITranslate): Promise<DocAITranslateResponse> => {
const response = await fetchAPI(`documents/${docId}/ai-translate/`, {
method: 'POST',
body: JSON.stringify({
...params,
}),
});
if (!response.ok) {
throw new APIError(
'Failed to request ai translate',
await errorCauses(response),
);
}
return response.json() as Promise<DocAITranslateResponse>;
};
export function useDocAITranslate() {
return useMutation<DocAITranslateResponse, APIError, DocAITranslate>({
mutationFn: docAITranslate,
});
}
@@ -1,371 +0,0 @@
import { Block } from '@blocknote/core';
import {
ComponentProps,
useBlockNoteEditor,
useComponentsContext,
useSelectedBlocks,
} from '@blocknote/react';
import {
Loader,
VariantType,
useToastProvider,
} from '@gouvfr-lasuite/cunningham-react';
import { PropsWithChildren, ReactNode, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
import { isAPIError } from '@/api';
import { Box, Icon } from '@/components';
import { useDocOptions, useDocStore } from '@/docs/doc-management/';
import {
AITransformActions,
useDocAITransform,
useDocAITranslate,
} from '../../api';
type LanguageTranslate = {
value: string;
display_name: string;
};
const sortByPopularLanguages = (
languages: LanguageTranslate[],
popularLanguages: string[],
) => {
languages.sort((a, b) => {
const indexA = popularLanguages.indexOf(a.value);
const indexB = popularLanguages.indexOf(b.value);
// If both languages are in the popular list, sort based on their order in popularLanguages
if (indexA !== -1 && indexB !== -1) {
return indexA - indexB;
}
// If only a is in the popular list, it should come first
if (indexA !== -1) {
return -1;
}
// If only b is in the popular list, it should come first
if (indexB !== -1) {
return 1;
}
// If neither a nor b is in the popular list, maintain their relative order
return 0;
});
};
export function AIGroupButton() {
const editor = useBlockNoteEditor();
const Components = useComponentsContext();
const selectedBlocks = useSelectedBlocks(editor);
const { t } = useTranslation();
const { currentDoc } = useDocStore();
const { data: docOptions } = useDocOptions();
const languages = useMemo(() => {
const languages = docOptions?.actions.POST.language.choices;
if (!languages) {
return;
}
sortByPopularLanguages(languages, [
'fr',
'en',
'de',
'es',
'it',
'pt',
'nl',
'pl',
]);
return languages;
}, [docOptions?.actions.POST.language.choices]);
const show = useMemo(() => {
return !!selectedBlocks.find((block) => block.content !== undefined);
}, [selectedBlocks]);
if (!show || !editor.isEditable || !Components || !currentDoc || !languages) {
return null;
}
const canAITransform = currentDoc.abilities.ai_transform;
const canAITranslate = currentDoc.abilities.ai_translate;
if (!canAITransform && !canAITranslate) {
return null;
}
return (
<Components.Generic.Menu.Root>
<Components.Generic.Menu.Trigger>
<Components.FormattingToolbar.Button
className="bn-button bn-menu-item --docs--ai-actions-menu-trigger"
data-test="ai-actions"
label="AI"
mainTooltip={t('AI Actions')}
icon={<Icon iconName="auto_awesome" $size="md" />}
/>
</Components.Generic.Menu.Trigger>
<Components.Generic.Menu.Dropdown
className="bn-menu-dropdown bn-drag-handle-menu --docs--ai-actions-menu"
sub={true}
>
{canAITransform && (
<>
<AIMenuItemTransform
action="prompt"
docId={currentDoc.id}
icon={<Icon iconName="text_fields" $size="s" />}
>
{t('Use as prompt')}
</AIMenuItemTransform>
<AIMenuItemTransform
action="rephrase"
docId={currentDoc.id}
icon={<Icon iconName="refresh" $size="s" />}
>
{t('Rephrase')}
</AIMenuItemTransform>
<AIMenuItemTransform
action="summarize"
docId={currentDoc.id}
icon={<Icon iconName="summarize" $size="s" />}
>
{t('Summarize')}
</AIMenuItemTransform>
<AIMenuItemTransform
action="correct"
docId={currentDoc.id}
icon={<Icon iconName="check" $size="s" />}
>
{t('Correct')}
</AIMenuItemTransform>
<AIMenuItemTransform
action="beautify"
docId={currentDoc.id}
icon={<Icon iconName="draw" $size="s" />}
>
{t('Beautify')}
</AIMenuItemTransform>
<AIMenuItemTransform
action="emojify"
docId={currentDoc.id}
icon={<Icon iconName="emoji_emotions" $size="s" />}
>
{t('Emojify')}
</AIMenuItemTransform>
</>
)}
{canAITranslate && (
<Components.Generic.Menu.Root position="right" sub={true}>
<Components.Generic.Menu.Trigger sub={false}>
<Components.Generic.Menu.Item
className="bn-menu-item --docs--ai-translate-menu-trigger"
subTrigger={true}
>
<Box $direction="row" $gap="0.6rem">
<Icon iconName="translate" $size="s" />
{t('Language')}
</Box>
</Components.Generic.Menu.Item>
</Components.Generic.Menu.Trigger>
<Components.Generic.Menu.Dropdown
sub={true}
className="bn-menu-dropdown --docs--ai-translate-menu"
>
{languages.map((language) => (
<AIMenuItemTranslate
key={language.value}
language={language.value}
docId={currentDoc.id}
>
{language.display_name}
</AIMenuItemTranslate>
))}
</Components.Generic.Menu.Dropdown>
</Components.Generic.Menu.Root>
)}
</Components.Generic.Menu.Dropdown>
</Components.Generic.Menu.Root>
);
}
/**
* Item is derived from Mantime, some props seem lacking or incorrect.
*/
type ItemDefault = ComponentProps['Generic']['Menu']['Item'];
type ItemProps = Omit<ItemDefault, 'onClick'> & {
rightSection?: ReactNode;
closeMenuOnClick?: boolean;
onClick: (e: React.MouseEvent) => void;
};
interface AIMenuItemTransformProps {
action: AITransformActions;
docId: string;
icon?: ReactNode;
}
const AIMenuItemTransform = ({
docId,
action,
children,
icon,
}: PropsWithChildren<AIMenuItemTransformProps>) => {
const { mutateAsync: requestAI, isPending } = useDocAITransform();
const editor = useBlockNoteEditor();
const requestAIAction = async (selectedBlocks: Block[]) => {
const text = await editor.blocksToMarkdownLossy(selectedBlocks);
const responseAI = await requestAI({
text,
action,
docId,
});
if (!responseAI?.answer) {
throw new Error('No response from AI');
}
const markdown = await editor.tryParseMarkdownToBlocks(responseAI.answer);
editor.replaceBlocks(selectedBlocks, markdown);
};
return (
<AIMenuItem icon={icon} requestAI={requestAIAction} isPending={isPending}>
{children}
</AIMenuItem>
);
};
interface AIMenuItemTranslateProps {
language: string;
docId: string;
icon?: ReactNode;
}
const AIMenuItemTranslate = ({
children,
docId,
icon,
language,
}: PropsWithChildren<AIMenuItemTranslateProps>) => {
const { mutateAsync: requestAI, isPending } = useDocAITranslate();
const editor = useBlockNoteEditor();
const requestAITranslate = async (selectedBlocks: Block[]) => {
let fullHtml = '';
for (const block of selectedBlocks) {
if (Array.isArray(block.content) && block.content.length === 0) {
fullHtml += '<p><br/></p>';
continue;
}
fullHtml += await editor.blocksToHTMLLossy([block]);
}
const responseAI = await requestAI({
text: fullHtml,
language,
docId,
});
if (!responseAI || !responseAI.answer) {
throw new Error('No response from AI');
}
try {
const blocks = await editor.tryParseHTMLToBlocks(responseAI.answer);
editor.replaceBlocks(selectedBlocks, blocks);
} catch {
editor.replaceBlocks(selectedBlocks, selectedBlocks);
}
};
return (
<AIMenuItem
icon={icon}
requestAI={requestAITranslate}
isPending={isPending}
>
{children}
</AIMenuItem>
);
};
interface AIMenuItemProps {
requestAI: (blocks: Block[]) => Promise<void>;
isPending: boolean;
icon?: ReactNode;
}
const AIMenuItem = ({
requestAI,
isPending,
children,
icon,
}: PropsWithChildren<AIMenuItemProps>) => {
const Components = useComponentsContext();
const { toast } = useToastProvider();
const { t } = useTranslation();
const editor = useBlockNoteEditor();
const handleAIError = useHandleAIError();
const handleAIAction = async () => {
const selectedBlocks = editor.getSelection()?.blocks ?? [
editor.getTextCursorPosition().block,
];
if (!selectedBlocks?.length) {
toast(t('No text selected'), VariantType.WARNING);
return;
}
try {
await requestAI(selectedBlocks);
} catch (error) {
handleAIError(error);
}
};
if (!Components) {
return null;
}
const Item = Components.Generic.Menu.Item as React.FC<ItemProps>;
return (
<Item
closeMenuOnClick={false}
icon={icon}
onClick={(e: React.MouseEvent) => {
e.stopPropagation();
void handleAIAction();
}}
rightSection={isPending ? <Loader size="small" /> : undefined}
>
{children}
</Item>
);
};
const useHandleAIError = () => {
const { toast } = useToastProvider();
const { t } = useTranslation();
return (error: unknown) => {
if (isAPIError(error) && error.status === 429) {
toast(t('Too many requests. Please wait 60 seconds.'), VariantType.ERROR);
return;
}
toast(t('AI seems busy! Please try again.'), VariantType.ERROR);
};
};
@@ -10,11 +10,10 @@ import { useTranslation } from 'react-i18next';
import { useConfig } from '@/core/config/api';
import { AIToolbarButton } from '../AI/AIToolbarButton';
import { AIToolbarButton } from '../AI';
import { CommentToolbarButton } from '../comments/CommentToolbarButton';
import { getCalloutFormattingToolbarItems } from '../custom-blocks';
import { AIGroupButton } from './AIButton';
import { FileDownloadButton } from './FileDownloadButton';
import { MarkdownButton } from './MarkdownButton';
import { ModalConfirmDownloadUnsafe } from './ModalConfirmDownloadUnsafe';
@@ -76,9 +75,6 @@ export const BlockNoteToolbar = () => {
{toolbarItems}
{/* Extra button to do some AI powered actions */}
{conf?.AI_FEATURE_ENABLED && <AIGroupButton key="AIButton" />}
{/* Extra button to convert from markdown to json */}
<MarkdownButton key="customButton" />
</FormattingToolbar>
@@ -75,8 +75,6 @@ export interface Doc {
accesses_manage: boolean;
accesses_view: boolean;
ai_proxy: boolean;
ai_transform: boolean;
ai_translate: boolean;
attachment_upload: boolean;
children_create: boolean;
children_list: boolean;
@@ -183,8 +183,6 @@ export class ApiPlugin implements WorkboxPlugin {
accesses_manage: true,
accesses_view: true,
ai_proxy: true,
ai_transform: true,
ai_translate: true,
attachment_upload: true,
children_create: true,
children_list: true,
@@ -30,8 +30,6 @@ interface Doc {
accesses_manage: boolean;
accesses_view: boolean;
ai_proxy: boolean;
ai_transform: boolean;
ai_translate: boolean;
attachment_upload: boolean;
children_create: boolean;
children_list: boolean;