34e6ef0d8d
* chore: bug fix * dev: changes in api endpoints for invitations and inbox * chore: improvements * dev: update webhook send * dev: webhook validation and fix webhook flow for app * dev: error messages for deactivation * chore: api fixes * dev: update webhook and workspace leave * chore: issue comment * dev: default values for environment variables * dev: make the user active if he was already part of project member * chore: webhook cycle and module event * dev: disable ssl for emails * dev: webhooks restructuring * dev: updated webhook configuration * dev: webhooks * dev: state get object * dev: update workspace slug validation * dev: remove deactivation flag if max retries exceeded --------- Co-authored-by: NarayanBavisetti <narayan3119@gmail.com>
107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
# Python imports
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import requests
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import os
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# Third party imports
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from openai import OpenAI
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from rest_framework.response import Response
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from rest_framework import status
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# Django imports
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from django.conf import settings
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# Module imports
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from .base import BaseAPIView
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from plane.app.permissions import ProjectEntityPermission
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from plane.db.models import Workspace, Project
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from plane.app.serializers import ProjectLiteSerializer, WorkspaceLiteSerializer
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from plane.utils.integrations.github import get_release_notes
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from plane.license.models import InstanceConfiguration
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from plane.license.utils.instance_value import get_configuration_value
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class GPTIntegrationEndpoint(BaseAPIView):
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permission_classes = [
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ProjectEntityPermission,
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]
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def post(self, request, slug, project_id):
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# Get the configuration value
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instance_configuration = InstanceConfiguration.objects.values("key", "value")
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api_key = get_configuration_value(instance_configuration, "OPENAI_API_KEY", os.environ.get("OPENAI_API_KEY"))
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gpt_engine = get_configuration_value(instance_configuration, "GPT_ENGINE", os.environ.get("GPT_ENGINE", "gpt-3.5-turbo"))
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# Check the keys
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if not api_key or not gpt_engine:
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return Response(
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{"error": "OpenAI API key and engine is required"},
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status=status.HTTP_400_BAD_REQUEST,
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)
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prompt = request.data.get("prompt", False)
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task = request.data.get("task", False)
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if not task:
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return Response(
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{"error": "Task is required"}, status=status.HTTP_400_BAD_REQUEST
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)
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final_text = task + "\n" + prompt
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client = OpenAI(
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api_key=api_key,
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)
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response = client.chat.completions.create(
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model=gpt_engine,
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messages=[{"role": "user", "content": final_text}],
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)
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workspace = Workspace.objects.get(slug=slug)
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project = Project.objects.get(pk=project_id)
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text = response.choices[0].message.content.strip()
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text_html = text.replace("\n", "<br/>")
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return Response(
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{
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"response": text,
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"response_html": text_html,
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"project_detail": ProjectLiteSerializer(project).data,
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"workspace_detail": WorkspaceLiteSerializer(workspace).data,
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},
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status=status.HTTP_200_OK,
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)
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class ReleaseNotesEndpoint(BaseAPIView):
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def get(self, request):
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release_notes = get_release_notes()
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return Response(release_notes, status=status.HTTP_200_OK)
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class UnsplashEndpoint(BaseAPIView):
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def get(self, request):
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instance_configuration = InstanceConfiguration.objects.values("key", "value")
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unsplash_access_key = get_configuration_value(instance_configuration, "UNSPLASH_ACCESS_KEY", os.environ.get("UNSPLASH_ACCESS_KEY"))
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# Check unsplash access key
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if not unsplash_access_key:
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return Response([], status=status.HTTP_200_OK)
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# Query parameters
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query = request.GET.get("query", False)
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page = request.GET.get("page", 1)
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per_page = request.GET.get("per_page", 20)
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url = (
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f"https://api.unsplash.com/search/photos/?client_id={unsplash_access_key}&query={query}&page=${page}&per_page={per_page}"
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if query
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else f"https://api.unsplash.com/photos/?client_id={unsplash_access_key}&page={page}&per_page={per_page}"
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)
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headers = {
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"Content-Type": "application/json",
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}
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resp = requests.get(url=url, headers=headers)
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return Response(resp.json(), status=resp.status_code)
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