Improvements to Discord integration

DEPLOY.md

@@ -1,5 +1,21 @@
 # Deploy production
 
+## Discord Bot creation
+
+1. Open "[Applications](https://discord.com/developers/applications)" at Discord Developer Portal
+2. Click "New Application" button
+3. Type application name and "Create" button
+4. Click "Bot" on the left panel of the created application
+5. Click "Reset Token" button and then confirm by clicking "Yes, do it!" button
+6. Re-enter your Discord password and click "Submit" button
+7. Copy and save the generated bot token
+8. Check "MESSAGE CONTENT INTENT" and click "Save Changes" button
+9. Click "OAuth2" on the left panel
+10. In "OAuth2 URL Generator" -> "SCOPES" section check "bot"
+11. In "OAuth2 URL Generator" -> "BOT PERMISSIONS" section check "Send Messages"
+12. Set "OAuth2 URL Generator" -> "INTEGRATION TYPE" = Guild Install
+13. Copy "OAuth2 URL Generator" -> "GENERATED URL", open it in your browser and authorize the bot to a server
+
 ## Initial deployment
 
 Initial deployment is done once. [Update](#Update) section is executed for redeployment

Dockerfile

@@ -9,6 +9,7 @@ ENV THENEWBOSTON_SETTING_IN_DOCKER true
 
 EXPOSE 8000
 
+# TODO(dmu) HIGH: Use the same pip version as suggested in README.md
 RUN set -xe \
     && apt-get update \
     && apt-get install -y --no-install-recommends build-essential \

Makefile

@@ -70,6 +70,10 @@ run-daphne:
 	poetry run python -m thenewboston.manage collectstatic --no-input
 	poetry run daphne thenewboston.project.asgi:application -p 8000 -b 127.0.0.1
 
+.PHONY: run-discord-bot
+run-discord-bot:
+	poetry run python -m thenewboston.discord.bot
+
 .PHONY: shell
 shell:
 	poetry run python -m thenewboston.manage shell

README.md

@@ -10,7 +10,7 @@
 1. Install Poetry
 
 ```bash
-export PIP_REQUIRED_VERSION=24.0
+export PIP_REQUIRED_VERSION=24.2
 pip install pip==${PIP_REQUIRED_VERSION} && \
 pip install virtualenvwrapper && \
 pip install poetry==1.8.3 && \

pyproject.toml

@@ -21,13 +21,14 @@ pillow = "^9.5.0"
 psycopg2 = "^2.9.6"
 pydantic = "^1.10.9"
 pynacl = "^1.5.0"
+# TODO(dmu) HIGH: Upgrade to Python 3.12
 python = "^3.10"
 pyyaml = "^6.0"
 requests = "^2.31.0"
 whitenoise = "^6.5.0"
 celery = {extras = ["redis"], version = "^5.3.6"}
 channels-redis = "^4.2.0"
-openai = "^1.8.0"
+openai = "^1.39.0"
 langchain = "^0.1.1"
 pygithub = "^2.3.0"
 jinja2 = "^3.1.3"

thenewboston/art/tests/test_openai_image.py

@@ -11,27 +11,27 @@ def test_create_openai_images(api_client_bucky, sample_core, sample_wallet):
     with (
         override_settings(OPENAI_IMAGE_GENERATION_DEFAULT_SIZE='256x256'),
         yield_cassette('create_openai_image.yaml') as cassette,
-        assert_played(cassette, count=2),
+        assert_played(cassette),
     ):
         response = api_client_bucky.post('/api/openai_images', payload)
 
     assert response.status_code == 200
     assert response.json() == {
         'created':
-            1712242615,
+            1722953410,
         'data': [{
             'b64_json':
                 None,
             'revised_prompt':
                 None,
             'url': (
-                'https://oaidalleapiprodscus.blob.core.windows.net/'
-                'private/org-eQnfyttwsLTbvwJtDWRGilzo/user-vGa8V5qOL8XFkzK6S4wA3Geo/'
-                'img-gPfLBQY2J1mBxhd81nLYuOHz.png?st=2024-04-04T13%3A56%3A55Z&se=2024-04-04T15%3A56%3A55Z&sp=r&'
-                'sv=2021-08-06&sr=b&rscd=inline&rsct=image/png&'
-                'skoid=6aaadede-4fb3-4698-a8f6-684d7786b067&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&'
-                'skt=2024-04-03T20%3A15%3A27Z&ske=2024-04-04T20%3A15%3A27Z&sks=b&skv=2021-08-06&'
-                'sig=KtLaFr26odFV%2BeJlINYQN0t5utSfCpRYhpToZqhcWW0%3D'
+                'https://oaidalleapiprodscus.blob.core.windows.net/private/'
+                'org-eQnfyttwsLTbvwJtDWRGilzo/user-vGa8V5qOL8XFkzK6S4wA3Geo/'
+                'img-bY1bAO8t1NOd3M9w3HE6TSW6.png?st=2024-08-06T13%3A10%3A10Z&'
+                'se=2024-08-06T15%3A10%3A10Z&sp=r&sv=2023-11-03&sr=b&rscd=inline&'
+                'rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&'
+                'sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2024-08-06T01%3A30%3A12Z&'
+                'ske=2024-08-07T01%3A30%3A12Z&sks=b&skv=2023-11-03&sig=9BK9xQF5a6CWqDV6QVNy4Ktmh19jrYOOlWiZys6qVrM%3D'
             )
         }]
     }

thenewboston/art/views/openai_image.py

@@ -1,9 +1,8 @@
-from django.conf import settings
-from promptlayer import PromptLayer
 from rest_framework import status, viewsets
 from rest_framework.permissions import IsAuthenticated
 from rest_framework.response import Response
 
+from thenewboston.general.clients.openai import OpenAIClient
 from thenewboston.general.constants import OPENAI_IMAGE_CREATION_FEE
 from thenewboston.general.enums import MessageType
 from thenewboston.wallets.consumers.wallet import WalletConsumer
@@ -12,10 +11,6 @@
 
 from ..serializers.openai_image import OpenAIImageSerializer
 
-promptlayer_client = PromptLayer(api_key=settings.PROMPTLAYER_API_KEY)
-OpenAI = promptlayer_client.openai.OpenAI
-client = OpenAI()
-
 
 class OpenAIImageViewSet(viewsets.ViewSet):
     permission_classes = [IsAuthenticated]
@@ -28,13 +23,7 @@ def create(self, request):
             description = serializer.validated_data['description']
             quantity = serializer.validated_data['quantity']
 
-            response = client.images.generate(
-                model=settings.OPENAI_IMAGE_GENERATION_MODEL,
-                n=quantity,
-                prompt=description,
-                quality=settings.OPENAI_IMAGE_GENERATION_DEFAULT_QUALITY,
-                size=settings.OPENAI_IMAGE_GENERATION_DEFAULT_SIZE,
-            )
+            response = OpenAIClient.get_instance().generate_image(prompt=description, quantity=quantity)
 
             self.charge_image_creation_fee(request.user, quantity)
 

thenewboston/contributions/business_logic/process.py

@@ -111,8 +111,4 @@ def reward_manual_contributions(contribution_id=None):
         try:
             reward_contribution(contribution)
         except Exception:
-            logger.warning(
-                'Error while rewarding contribution: %s',
-                contribution,
-                exc_info=True,
-            )
+            logger.warning('Error while rewarding contribution: %s', contribution, exc_info=True)

thenewboston/contributions/models/contribution.py

@@ -1,16 +1,13 @@
-import json
 from datetime import timedelta
 
 from django.conf import settings
 from django.db import models
 from django.utils import timezone
-from promptlayer import PromptLayer
 
+from thenewboston.general.clients.openai import OpenAIClient
 from thenewboston.general.models import CreatedModified
 from thenewboston.general.utils.transfers import change_wallet_balance
 
-promptlayer_client = PromptLayer(api_key=settings.PROMPTLAYER_API_KEY)
-
 
 class ContributionType(models.IntegerChoices):
     PULL_REQUEST = 1, 'Pull request'
@@ -72,21 +69,14 @@ def assess(self, save=True):
                 assessment_points = pull.assessment_points
                 assessment_explanation = pull.assessment_explanation
             case ContributionType.MANUAL.value:
-                response = promptlayer_client.run(
-                    prompt_name=settings.GITHUB_MANUAL_CONTRIBUTION_ASSESSMENT_TEMPLATE_NAME,
+                result = OpenAIClient.get_instance().get_chat_completion(
+                    settings.GITHUB_MANUAL_CONTRIBUTION_ASSESSMENT_PROMPT_NAME,
                     input_variables={'description': self.description},
-                    prompt_release_label=settings.PROMPT_TEMPLATE_LABEL,
-                    metadata={
-                        'environment': settings.ENV_NAME,
-                        'user_id': str(self.user.id),
-                        'username': self.user.username
-                    },
+                    tracked_user=self.user,
                     tags=['manual_contribution_assessment'],
                 )
-                result = response['raw_response'].choices[0].message.content
-                result_json = json.loads(result)
-                assessment_points = result_json['assessment']
-                assessment_explanation = result_json['explanation']
+                assessment_points = result['assessment']
+                assessment_explanation = result['explanation']
             case _:
                 raise NotImplementedError('Unsupported contribution type')
 

thenewboston/contributions/tests/test_manual_contribution.py

@@ -18,16 +18,14 @@
 from thenewboston.wallets.models import Wallet
 
 ASSESSMENT_EXPLANATION = (
-    "As an AI developed by OpenAI, I'm not equipped with the capacity to directly view, access, or "
-    'assess visual designs such as those created in Figma. My functionality is centered around processing '
-    'text-based input and generating text-based output. Therefore, I cannot directly evaluate the quality, '
-    'creativity, or impact of your Figma designs. Assessment of visual design work requires subjective '
-    'analysis and consideration of aesthetic principles, design innovation, usability, and how effectively '
-    'the design communicates its intended message or function. These nuances are best evaluated by humans or '
-    'specialized software designed for visual design critique and analysis. However, creating new designs in '
-    'Figma can be a valuable contribution to projects requiring visual communication, user interface design, '
-    'or user experience enhancements, suggesting a non-zero intrinsic value in contexts where such '
-    'contributions are applicable.'
+    'The creation of 3 new designs in Figma can be a valuable contribution, particularly if these designs are '
+    "intended to improve the user interface and user experience of our project's software components. "
+    'Given that visual and interaction design can significantly impact the usability and appeal of our tools '
+    "and platforms, your contribution is recognized as enhancing the project's appeal and potentially its "
+    'functionality. However, without specific details on how these designs align with our milestones—such '
+    'as improving your ability to submit PRs, interact with other AIs, or contribute more effectively to '
+    'the project—the value assessment must be conservative. Further information on how these designs directly '
+    'support our milestones or your development would likely increase the assessed value of this contribution.'
 )
 ABSENT = object()
 
@@ -112,7 +110,7 @@ def test_create_manual_contribution(authenticated_api_client):
     with (
         freeze_time('2024-05-17T07:10:00Z'),
         yield_cassette('reward_manual_contributions.yaml') as cassette,
-        assert_played(cassette, count=4),
+        assert_played(cassette, count=3),
     ):
         reward_manual_contributions_task(contribution_id=contribution_id)
 
@@ -129,17 +127,17 @@ def test_create_manual_contribution(authenticated_api_client):
 
     # Assert assessed and rewarded
     assert contribution.is_assessed()
-    assert contribution.assessment_points == 9
+    assert contribution.assessment_points == 500
     assert contribution.assessment_explanation == ASSESSMENT_EXPLANATION
     assert contribution.is_rewarded()
     assert contribution.rewarded_at == datetime.fromisoformat('2024-05-17T07:10:00+00:00')
-    assert contribution.reward_amount == 9
+    assert contribution.reward_amount == 500
 
     assert Wallet.objects.count() == 1
     wallet = Wallet.objects.get()
     assert wallet.owner == user
     assert wallet.core == core
-    assert wallet.balance == 9
+    assert wallet.balance == 500
     assert wallet.deposit_account_number
     assert wallet.deposit_balance == 0
     assert wallet.deposit_signing_key
@@ -208,13 +206,13 @@ def test_create_manual_contribution__daily_limit(authenticated_api_client):
     with (
         freeze_time('2024-05-17T07:10:00Z'),
         yield_cassette('reward_manual_contributions.yaml') as cassette,
-        assert_played(cassette, count=4),
+        assert_played(cassette, count=3),
     ):
         reward_manual_contributions_task(contribution_id=contribution_id)
 
     contribution = Contribution.objects.get(id=contribution_id)
     assert contribution.is_assessed()
-    assert contribution.assessment_points == 9
+    assert contribution.assessment_points == 500
     assert contribution.assessment_explanation == ASSESSMENT_EXPLANATION
     assert contribution.is_rewarded()
     assert contribution.rewarded_at == datetime.fromisoformat('2024-05-17T07:10:00+00:00')