(backend) create ai endpoint

We created 2 new action endpoints on the document
to perform AI operations:
- POST /api/v1.0/documents/{uuid}/ai-transform
- POST /api/v1.0/documents/{uuid}/ai-translate
This commit is contained in:
Anthony LC
2024-09-20 22:42:46 +02:00
committed by Samuel Paccoud
parent e8d95facdf
commit aff3b43c9d
17 changed files with 1440 additions and 22 deletions

View File

@@ -21,6 +21,7 @@ from rest_framework import (
decorators,
exceptions,
filters,
metadata,
mixins,
pagination,
status,
@@ -30,7 +31,8 @@ from rest_framework import (
response as drf_response,
)
from core import models
from core import enums, models
from core.services.ai_services import AIService
from . import permissions, serializers, utils
@@ -302,6 +304,23 @@ class ResourceAccessViewsetMixin:
serializer.save()
class DocumentMetadata(metadata.SimpleMetadata):
"""Custom metadata class to add information"""
def determine_metadata(self, request, view):
"""Add language choices only for the list endpoint."""
simple_metadata = super().determine_metadata(request, view)
if request.path.endswith("/documents/"):
simple_metadata["actions"]["POST"]["language"] = {
"choices": [
{"value": code, "display_name": name}
for code, name in enums.ALL_LANGUAGES.items()
]
}
return simple_metadata
class DocumentViewSet(
ResourceViewsetMixin,
mixins.CreateModelMixin,
@@ -319,6 +338,7 @@ class DocumentViewSet(
resource_field_name = "document"
queryset = models.Document.objects.all()
ordering = ["-updated_at"]
metadata_class = DocumentMetadata
def list(self, request, *args, **kwargs):
"""Restrict resources returned by the list endpoint"""
@@ -455,10 +475,7 @@ class DocumentViewSet(
serializer = serializers.LinkDocumentSerializer(
document, data=request.data, partial=True
)
if not serializer.is_valid():
return drf_response.Response(
serializer.errors, status=status.HTTP_400_BAD_REQUEST
)
serializer.is_valid(raise_exception=True)
serializer.save()
return drf_response.Response(serializer.data, status=status.HTTP_200_OK)
@@ -471,10 +488,7 @@ class DocumentViewSet(
# Validate metadata in payload
serializer = serializers.FileUploadSerializer(data=request.data)
if not serializer.is_valid():
return drf_response.Response(
serializer.errors, status=status.HTTP_400_BAD_REQUEST
)
serializer.is_valid(raise_exception=True)
# Generate a generic yet unique filename to store the image in object storage
file_id = uuid.uuid4()
@@ -482,13 +496,13 @@ class DocumentViewSet(
key = f"{document.key_base}/{ATTACHMENTS_FOLDER:s}/{file_id!s}.{extension:s}"
# Prepare metadata for storage
metadata = {"Metadata": {"owner": str(request.user.id)}}
extra_args = {"Metadata": {"owner": str(request.user.id)}}
if serializer.validated_data["is_unsafe"]:
metadata["Metadata"]["is_unsafe"] = "true"
extra_args["Metadata"]["is_unsafe"] = "true"
file = serializer.validated_data["file"]
default_storage.connection.meta.client.upload_fileobj(
file, default_storage.bucket_name, key, ExtraArgs=metadata
file, default_storage.bucket_name, key, ExtraArgs=extra_args
)
return drf_response.Response(
@@ -537,6 +551,63 @@ class DocumentViewSet(
request = utils.generate_s3_authorization_headers(f"{pk:s}/{attachment_key:s}")
return drf_response.Response("authorized", headers=request.headers, status=200)
@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=status.HTTP_200_OK)
@decorators.action(
detail=True,
methods=["post"],
name="Translate a piece of text with AI",
serializer_class=serializers.AITranslateSerializer,
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=status.HTTP_200_OK)
class DocumentAccessViewSet(
ResourceAccessViewsetMixin,