diff --git a/.gitignore b/.gitignore index 563cf1be..2dc7b5de 100644 --- a/.gitignore +++ b/.gitignore @@ -9,6 +9,8 @@ frontend/yarn-error.log __pycache__/ *.pyc +.env + # Distribution build/ dist/ diff --git a/backend/Pipfile b/backend/Pipfile index c35caae3..625292f9 100644 --- a/backend/Pipfile +++ b/backend/Pipfile @@ -20,7 +20,7 @@ dj-database-url = "*" djangorestframework = "*" psycopg2 = "*" sentry-sdk = "*" -django = "==3.1.7" +django = "==3.2.4" django-cors-headers = "*" pyyaml = "*" uritemplate = "*" @@ -43,6 +43,7 @@ gunicorn = "*" django-scheduler = "*" typing-extensions = "*" drf-excel = "*" +langchain = "*" [requires] python_version = "3" diff --git a/backend/Pipfile.lock b/backend/Pipfile.lock index 0e042284..5a2d6b44 100644 --- a/backend/Pipfile.lock +++ b/backend/Pipfile.lock @@ -1,7 +1,7 @@ { "_meta": { "hash": { - "sha256": "0121bd58a051c0e496c9742fa8d4eb5a80dadd42547eb69ac64907cc80c33d94" + "sha256": "c886d2be7bf129efb99f17213a2183df7b3d062af5b5ea1582be156937ea0033" }, "pipfile-spec": 6, "requires": { @@ -18,96 +18,96 @@ "default": { "aiohttp": { "hashes": [ - "sha256:03543dcf98a6619254b409be2d22b51f21ec66272be4ebda7b04e6412e4b2e14", - "sha256:03baa76b730e4e15a45f81dfe29a8d910314143414e528737f8589ec60cf7391", - "sha256:0a63f03189a6fa7c900226e3ef5ba4d3bd047e18f445e69adbd65af433add5a2", - "sha256:10c8cefcff98fd9168cdd86c4da8b84baaa90bf2da2269c6161984e6737bf23e", - "sha256:147ae376f14b55f4f3c2b118b95be50a369b89b38a971e80a17c3fd623f280c9", - "sha256:176a64b24c0935869d5bbc4c96e82f89f643bcdf08ec947701b9dbb3c956b7dd", - "sha256:17b79c2963db82086229012cff93ea55196ed31f6493bb1ccd2c62f1724324e4", - "sha256:1a45865451439eb320784918617ba54b7a377e3501fb70402ab84d38c2cd891b", - "sha256:1b3ea7edd2d24538959c1c1abf97c744d879d4e541d38305f9bd7d9b10c9ec41", - "sha256:22f6eab15b6db242499a16de87939a342f5a950ad0abaf1532038e2ce7d31567", - "sha256:3032dcb1c35bc330134a5b8a5d4f68c1a87252dfc6e1262c65a7e30e62298275", - 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"sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7" ], "index": "pypi", - "version": "==4.5.0" + "markers": "python_version >= '3.7'", + "version": "==2.0.0" }, "unittest-xml-reporting": { "hashes": [ @@ -1796,6 +2157,7 @@ "sha256:f3d7402e5b3ac72a5ee3149278339db1a8f932ee405f48bcb9c681372f2717d5" ], "index": "pypi", + "markers": "python_version >= '3.7'", "version": "==3.2.0" } } diff --git a/backend/officehoursqueue/settings/base.py b/backend/officehoursqueue/settings/base.py index 682960fb..0516f2fb 100644 --- a/backend/officehoursqueue/settings/base.py +++ b/backend/officehoursqueue/settings/base.py @@ -175,6 +175,14 @@ TWILIO_AUTH_TOKEN = os.environ.get("TWILIO_TOKEN", "") TWILIO_NUMBER = os.environ.get("TWILIO_NUMBER", "") +# Pinecone Settings + +PINECONE_API_KEY=os.environ.get("PINECONE_API_KEY", "") + +# OpenAI Settings + +OPENAI_API_KEY=os.environ.get("OPENAI_API_KEY", "") + # Redis URL used for celery, channels and general caching. REDIS_URL = os.environ.get("REDIS_URL", "redis://localhost") diff --git a/backend/ohq/admin.py b/backend/ohq/admin.py index ac8c5d60..1ec7b9cc 100644 --- a/backend/ohq/admin.py +++ b/backend/ohq/admin.py @@ -4,6 +4,7 @@ Announcement, Course, CourseStatistic, + Document, Membership, MembershipInvite, Profile, @@ -12,11 +13,13 @@ QueueStatistic, Semester, Tag, + VectorDB, ) admin.site.register(Course) admin.site.register(CourseStatistic) +admin.site.register(Document) admin.site.register(Membership) admin.site.register(MembershipInvite) admin.site.register(Profile) @@ -26,3 +29,4 @@ admin.site.register(QueueStatistic) admin.site.register(Announcement) admin.site.register(Tag) +admin.site.register(VectorDB) diff --git a/backend/ohq/migrations/0020_auto_20231008_1655.py b/backend/ohq/migrations/0020_auto_20231008_1655.py new file mode 100644 index 00000000..bd8e379f --- /dev/null +++ b/backend/ohq/migrations/0020_auto_20231008_1655.py @@ -0,0 +1,40 @@ +# Generated by Django 3.2.4 on 2023-10-08 16:55 + +from django.db import migrations, models +import django.db.models.deletion + + +class Migration(migrations.Migration): + + dependencies = [ + ('ohq', '0019_auto_20211114_1800'), + ] + + operations = [ + migrations.CreateModel( + name='VectorDB', + fields=[ + ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('name', models.CharField(max_length=255)), + ('time_updated', models.DateTimeField(auto_now=True)), + ('top_k', models.IntegerField(blank=True, null=True)), + ('course', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='ohq.course')), + ], + ), + migrations.CreateModel( + name='Document', + fields=[ + ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), + ('name', models.CharField(max_length=255)), + ('vector_db', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='ohq.vectordb')), + ], + ), + migrations.AddConstraint( + model_name='vectordb', + constraint=models.UniqueConstraint(fields=('name', 'course'), name='unique_VectorDB'), + ), + migrations.AddConstraint( + model_name='document', + constraint=models.UniqueConstraint(fields=('name',), name='unique_document'), + ), + ] diff --git a/backend/ohq/models.py b/backend/ohq/models.py index a3284c0a..10508142 100644 --- a/backend/ohq/models.py +++ b/backend/ohq/models.py @@ -411,3 +411,27 @@ class Announcement(models.Model): author = models.ForeignKey(User, related_name="announcements", on_delete=models.CASCADE) time_updated = models.DateTimeField(auto_now=True) course = models.ForeignKey(Course, related_name="announcements", on_delete=models.CASCADE) + + +class VectorDB(models.Model): + + name = models.CharField(max_length=255) + course = models.ForeignKey(Course, on_delete=models.CASCADE) + time_updated = models.DateTimeField(auto_now=True) + top_k = models.IntegerField(blank=True, null=True) + + class Meta: + constraints = [models.UniqueConstraint(fields=["name", "course"], name="unique_VectorDB")] + + def __str__(self): + return f"{self.course}: {self.name} Vector DB" + +class Document(models.Model): + name = models.CharField(max_length=255) + vector_db = models.ForeignKey(VectorDB, on_delete=models.CASCADE) + + class Meta: + constraints = [models.UniqueConstraint(fields=["name"], name="unique_document")] + + def __str__(self): + return f"{self.course}: {self.name}" \ No newline at end of file diff --git a/backend/ohq/permissions.py b/backend/ohq/permissions.py index eb026aba..7c97eade 100644 --- a/backend/ohq/permissions.py +++ b/backend/ohq/permissions.py @@ -503,3 +503,111 @@ def has_permission(self, request, view): return True return True + +class DocumentCreatePermission(permissions.BasePermission): + def has_permission(self, request, view): + if not request.user.is_authenticated: + return False + + membership = Membership.objects.filter( + course=view.kwargs["course_pk"], user=request.user + ).first() + + return membership.is_leadership + + # # Non-Students can't do anything + # if membership is None: + # return False + + # if view.action == "retrieve": + # return membership.is_ta or membership.is_leadership + + # # Head TAs+ can make changes + # if view.action in ["create", "destroy", "update", "partial_update"]: + # return membership.is_leadership + +class DocumentPermission(permissions.BasePermission): + def has_object_permission(self, request, view, obj): + + membership = Membership.objects.get(course=view.kwargs["course_pk"], user=request.user) + + if view.action == "retrieve": + return membership.is_ta or membership.is_leadership + + if view.action in ["create", "destroy", "partial_update", "update"]: + return membership.is_leadership + + return False + + def has_permission(self, request, view): + if not request.user.is_authenticated: + return False + + membership = Membership.objects.filter( + course=view.kwargs["course_pk"], user=request.user + ).first() + + # Non-Students can't do anything + if membership is None: + return False + + if view.action == "retrieve": + return membership.is_ta or membership.is_leadership + + # Head TAs+ can make changes + if view.action in ["create", "destroy", "update", "partial_update"]: + return membership.is_leadership + +class VectorSearchPermission(permissions.BasePermission): + def has_permission(self, request, view): + if not request.user.is_authenticated: + return False + + membership = Membership.objects.filter( + course=view.kwargs["course_pk"], user=request.user + ).first() + + return membership.is_ta or membership.is_leadership + + # # Non-Students can't do anything + # if membership is None: + # return False + + # if view.action == "retrieve": + # return membership.is_ta or membership.is_leadership + + # # Head TAs+ can make changes + # if view.action in ["create", "destroy", "update", "partial_update"]: + # return membership.is_leadership + +class VectorDBPermission(permissions.BasePermission): + def has_object_permission(self, request, view, obj): + + membership = Membership.objects.get(course=view.kwargs["course_pk"], user=request.user) + + if view.action == "retrieve": + return membership.is_ta or membership.is_leadership + + if view.action in ["create", "destroy", "partial_update", "update"]: + return membership.is_leadership + + return False + + def has_permission(self, request, view): + if not request.user.is_authenticated: + return False + + membership = Membership.objects.filter( + course=view.kwargs["course_pk"], user=request.user + ).first() + + # Non-Students can't do anything + if membership is None: + return False + + if view.action == "retrieve": + return membership.is_ta or membership.is_leadership + + # Head TAs+ can make changes + if view.action in ["create", "destroy", "update", "partial_update"]: + return membership.is_leadership \ No newline at end of file diff --git a/backend/ohq/serializers.py b/backend/ohq/serializers.py index 0b704ed0..c242bdc9 100644 --- a/backend/ohq/serializers.py +++ b/backend/ohq/serializers.py @@ -14,6 +14,7 @@ Announcement, Course, CourseStatistic, + Document, Membership, MembershipInvite, Profile, @@ -22,6 +23,7 @@ QueueStatistic, Semester, Tag, + VectorDB, ) from ohq.sms import sendSMSVerification from ohq.tasks import sendUpNextNotificationTask @@ -574,3 +576,13 @@ class OccurrenceSerializer(serializers.ModelSerializer): class Meta: model = Occurrence fields = ("id", "title", "description", "start", "end", "cancelled", "event") + +class DocumentSerializer(serializers.ModelSerializer): + class Meta: + model = Document + fields = ("id", "name", "vector_db") + +class VectorDBSerializer(serializers.ModelSerializer): + class Meta: + model = VectorDB + fields = ("id", "name", "course", "time_updated", "top_k") \ No newline at end of file diff --git a/backend/ohq/urls.py b/backend/ohq/urls.py index cfef9d39..5ccbbdaa 100644 --- a/backend/ohq/urls.py +++ b/backend/ohq/urls.py @@ -6,6 +6,8 @@ AnnouncementViewSet, CourseStatisticView, CourseViewSet, + DocumentViewSet, + DocumentCreateView, EventViewSet, MassInviteView, MembershipInviteViewSet, @@ -19,6 +21,8 @@ SemesterViewSet, TagViewSet, UserView, + VectorDBViewSet, + VectorSearchView, ) @@ -36,10 +40,14 @@ course_router.register("invites", MembershipInviteViewSet, basename="invite") course_router.register("announcements", AnnouncementViewSet, basename="announcement") course_router.register("tags", TagViewSet, basename="tag") +course_router.register("vector_dbs", VectorDBViewSet, basename="vector_dbs") queue_router = routers.NestedSimpleRouter(course_router, "queues", lookup="queue") queue_router.register("questions", QuestionViewSet, basename="question") +vector_db_router = routers.NestedSimpleRouter(course_router, "vector_dbs", lookup="vector_dbs") +vector_db_router.register("documents", DocumentViewSet, basename="documents") + realtime_router = RealtimeRouter() realtime_router.register(QuestionViewSet) realtime_router.register(AnnouncementViewSet) @@ -61,6 +69,16 @@ CourseStatisticView.as_view(), name="course-statistic", ), + path( + "courses//vector_dbs/create", + DocumentCreateView.as_view(), + name="vectordb-create-documents", + ), + path( + "courses//vector_dbs/search", + VectorSearchView.as_view(), + name="document-search", + ) ] -urlpatterns = router.urls + course_router.urls + queue_router.urls + additional_urls +urlpatterns = router.urls + course_router.urls + queue_router.urls + vector_db_router.urls + additional_urls diff --git a/backend/ohq/vector_db.py b/backend/ohq/vector_db.py new file mode 100644 index 00000000..6d0ea169 --- /dev/null +++ b/backend/ohq/vector_db.py @@ -0,0 +1,130 @@ +from django.conf import settings +import json +import pinecone +import openai +import time +import tiktoken +import unidecode + +from langchain.text_splitter import RecursiveCharacterTextSplitter + +from ohq.models import Document + +openai.api_key = settings.OPENAI_API_KEY +pinecone.init(api_key=settings.PINECONE_API_KEY, environment='gcp-starter') +index_name = 'ohq-test' + +index = pinecone.Index(index_name) + +""" +decide which chunking method to use +""" +def chunk_text(text): + text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder( + chunk_size = 256, + chunk_overlap = 20, + ) + texts = [] + for document in text_splitter.create_documents([text]): + texts.append(document.page_content) + return texts + +def chunk_text_by_token_count(text, max_tokens=8192): + # Initialize the OpenAI GPT tokenizer - this is the one for GPT 3.5 + tokenizer = tiktoken.get_encoding("cl100k_base") + + current_chunk = "" + current_tokens = 0 + + for word in text.split(" "): + word_tokens = len(list(tokenizer.encode(word))) + if current_tokens + word_tokens > max_tokens: + yield current_chunk + current_chunk = "" + current_tokens = 0 + current_chunk += word + " " + current_tokens += word_tokens + + yield current_chunk + +def embed_vectors(chunk): + response = openai.Embedding.create(model="text-embedding-ada-002", input=chunk) + return response["data"][0]["embedding"] + +def embed_vector_with_metadata(chunk, metadata): + embedding = embed_vectors(chunk) + return embedding, metadata + +def sanitize_to_ascii(text): + ascii_text = unidecode.unidecode(text) + # Replace spaces with underscores + ascii_text = ascii_text.replace(' ', '_') + return ascii_text + +def search_index(term, top_k=5): + embedded_term = embed_vectors(term) + + pinecone.init(api_key=settings.PINECONE_API_KEY, environment='gcp-starter') + index = pinecone.Index(index_name) + + query_response = index.query(vector=[embedded_term], top_k=top_k) + + matches = query_response.get('matches', []) + + results = [] + for match in matches: + vector_id = match.get('id') + score = match.get('score') + results.append(f"Vector ID: {vector_id}, Score: {score}") + + return results, len(matches) + +def search_index_with_metadata(term, metadata, top_k=5): + embedded_term = embed_vectors(term) + + pinecone.init(api_key=settings.PINECONE_API_KEY, environment='gcp-starter') + index = pinecone.Index(index_name) + + metadata = json.loads(metadata) + query_response = index.query(vector=[embedded_term], filter=metadata, top_k=top_k, include_metadata=True) + + matches = query_response.get('matches', []) + + results = [] + for match in matches: + vector_id = match.get('id') + score = match.get('score') + m = match.get('metadata') + results.append(f"Vector ID: {vector_id}, Score: {score}, Metadata: {m}") + + return results, len(matches) + +def upload_vectors(vector): + index.upsert(vectors=[vector]) + +def upload_vectors_with_metadata(embeddings_with_metadata, batch_size): + # Separate embeddings and metadata + embeddings = {key: value[0] for key, value in embeddings_with_metadata.items()} + metadata = {key: {"course": value[1]["course"], + "document_name": value[1]["document_name"], + } + for key, value in embeddings_with_metadata.items()} + + # Prepare data for batching + ids_and_embeddings_batches = [dict(list(embeddings.items())[i:i + batch_size]) for i in range(0, len(embeddings), batch_size)] + metadata_batches = [dict(list(metadata.items())[i:i + batch_size]) for i in range(0, len(metadata), batch_size)] + + # Perform the upsert operation in batches + for e, m in zip(ids_and_embeddings_batches, metadata_batches): + # Create a list of IDs and a list of vectors from the embeddings + ids = list(e.keys()) + vectors = list(e.values()) + + for id, vector in zip(ids, vectors): + + vector_obj = { + 'id': str(id), + 'values': vector, + 'metadata': m[id] + } + index.upsert(vectors=[vector_obj]) diff --git a/backend/ohq/views.py b/backend/ohq/views.py index 7c234099..80fb6f00 100644 --- a/backend/ohq/views.py +++ b/backend/ohq/views.py @@ -1,7 +1,14 @@ import math import re +import PyPDF2 +import tiktoken +import os from datetime import datetime, timedelta +encoding = tiktoken.get_encoding("cl100k_base") # ideal encoding for gpt3.5-turbo + +from ohq import vector_db + from django.contrib.auth import get_user_model from django.core.validators import ValidationError from django.db.models import ( @@ -38,6 +45,7 @@ Announcement, Course, CourseStatistic, + Document, Membership, MembershipInvite, Question, @@ -45,12 +53,15 @@ QueueStatistic, Semester, Tag, + VectorDB, ) from ohq.pagination import QuestionSearchPagination from ohq.permissions import ( AnnouncementPermission, CoursePermission, CourseStatisticPermission, + DocumentPermission, + DocumentCreatePermission, EventPermission, IsSuperuser, MassInvitePermission, @@ -62,6 +73,8 @@ QueuePermission, QueueStatisticPermission, TagPermission, + VectorDBPermission, + VectorSearchPermission, ) from ohq.schemas import EventSchema, MassInviteSchema, OccurrenceSchema from ohq.serializers import ( @@ -69,6 +82,7 @@ CourseCreateSerializer, CourseSerializer, CourseStatisticSerializer, + DocumentSerializer, EventSerializer, MembershipInviteSerializer, MembershipSerializer, @@ -80,6 +94,7 @@ SemesterSerializer, TagSerializer, UserPrivateSerializer, + VectorDBSerializer, ) from ohq.sms import sendSMSVerification @@ -774,3 +789,109 @@ def list(self, request, *args, **kwargs): def get_queryset(self): return Occurrence.objects.filter(pk=self.kwargs["pk"]) + +class DocumentCreateView(generics.CreateAPIView): + + # permission_classes = [DocumentCreatePermission | IsSuperuser] + serializer_class = DocumentSerializer + + def post(self, request, *args, **kwargs): + + file = request.FILES['file'] + + file_name, file_extension = os.path.splitext(file.name) + file_type = file_extension[1:] + cleaned_file_name = vector_db.sanitize_to_ascii(file_name) + + course = Course.objects.get(id=self.kwargs["course_pk"]) + + if file_type == 'pdf': + pdfReader = PyPDF2.PdfReader(file) + count = len(pdfReader.pages) + text = "" + for i in range(count): + page = pdfReader.pages[i] + output = page.extract_text() + text += output + elif file_type == 'txt': + try: + text = file.read().decode('utf-8') + except UnicodeDecodeError: + text = file.read().decode('latin-1') + else: + text = request.data.get('text', '') + + chunks = vector_db.chunk_text(text) + + # attach metadata to each chunk + chunks_with_metadata = [] + for chunk in chunks: + metadata = { + "course": str(course), + "document_name": cleaned_file_name, + "text": chunk, + } + chunks_with_metadata.append((chunk, metadata)) + + embeddings_with_metadata = { + f"{cleaned_file_name}_{i}": (vector_db.embed_vectors(chunk), metadata) + for i, (chunk, metadata) in enumerate(chunks_with_metadata) + } + vector_db.upload_vectors_with_metadata(embeddings_with_metadata, 100) + + return Response( + data={ + "detail": "success", + }, + status=201, + ) + +class DocumentViewSet(viewsets.ModelViewSet): + + # permission_classes = [DocumentPermission | IsSuperuser] + serializer_class = DocumentSerializer + + def get_queryset(self): + qs = Document.objects.filter(course=self.kwargs["course_pk"]) + return prefetch(qs, self.serializer_class) + +class VectorSearchView(generics.ListAPIView): + + # permission_classes = [VectorSearchPermission | IsSuperuser] + serializer_class = VectorDBSerializer + + def get(self, request, course_pk=None): + query_term = request.GET.get('query_term') + metadata_query = request.GET.get('metadata_query') + + if query_term is None: + return Response({"error": "A vector must be provided."}, status=400) + + if metadata_query is None: + query_response, vector_count = vector_db.search_index(query_term) + else: + query_response, vector_count = vector_db.search_index_with_metadata(query_term, metadata_query) + + return Response( + data={ + "detail": "success", + "vector_count": vector_count, + "query_response": query_response + }, + ) + + def get_queryset(self): + qs = VectorDB.objects.filter( + vector__in=Document.objects.filter(course=self.kwargs["course_pk"]) + ) + return prefetch(qs, self.serializer_class) + + +class VectorDBViewSet(viewsets.ModelViewSet): + + # permission_classes = [VectorDBPermission | IsSuperuser] + serializer_class = VectorDBSerializer + + def get_queryset(self): + qs = VectorDB.objects.filter(course=self.kwargs["course_pk"]) + return prefetch(qs, self.serializer_class) diff --git a/backend/tests/ohq/test_vectordb.py b/backend/tests/ohq/test_vectordb.py new file mode 100644 index 00000000..714fca4e --- /dev/null +++ b/backend/tests/ohq/test_vectordb.py @@ -0,0 +1,80 @@ +from unittest.mock import patch + +from django.contrib.auth import get_user_model +from django.test import TestCase +from django.core.files.uploadedfile import SimpleUploadedFile + +from rest_framework.test import APIClient + + +from ohq.models import Course, Document, Semester, Membership + +from ohq import vector_db + +User = get_user_model() + +class FileUploadAndVectorTestCase(TestCase): + def setUp(self): + self.client = APIClient() + self.semester = Semester.objects.create(year=2020, term=Semester.TERM_SUMMER) + self.course = Course.objects.create( + course_code="000", department="Penn Labs", semester=self.semester + ) + self.ta = User.objects.create(username="head_ta") + Membership.objects.create(course=self.course, user=self.ta, kind=Membership.KIND_HEAD_TA) + + def test_file_upload_and_vector_creation(self, mock_upsert): + self.client.force_authenticate(user=self.user) + file_content = b"This is a test document content." + uploaded_file = SimpleUploadedFile("test.txt", file_content) + + response = self.client.post( + f"/api/courses/{self.course.id}/vector_dbs/create", + {"file": uploaded_file}, + ) + + # Check if the document was created successfully + self.assertEqual(response.status_code, 201) + self.assertEqual(Document.objects.count(), 1) + + document = Document.objects.first() + + # Test chunking and embedding + chunks = vector_db.chunk_text(file_content.decode("utf-8")) + self.assertEqual(len(chunks), 1) # In this test, entire content is one chunk + + expected_embeddings = [vector_db.embed_vectors(chunk) for chunk in chunks] + + # Prepare metadata for chunks + metadata = { + "course": str(self.course), + "document_name": vector_db.sanitize_to_ascii("test.txt"), + } + chunks_with_metadata = [(chunk, metadata) for chunk in chunks] + + vector_db.upload_vectors_with_metadata(chunks_with_metadata, batch_size=1) + + # Verify that upsert was called with the expected vectors and metadata + mock_upsert.assert_called_once_with( + vectors=[ + { + "id": f"test.txt_{i}", + "values": expected_embeddings[i], + "metadata": metadata, + } + for i in range(len(chunks)) + ] + ) + + def test_file_upload_empty_file(self): + self.client.force_authenticate(user=self.user) + + uploaded_file = SimpleUploadedFile("empty.txt", b"") + + response = self.client.post( + f"/api/courses/{self.course.id}/vector_dbs/create", + {"file": uploaded_file}, + ) + + self.assertEqual(response.status_code, 400) + self.assertEqual(Document.objects.count(), 0) diff --git a/backend/tests/ohq/test_views.py b/backend/tests/ohq/test_views.py index 06a4a3b5..87fd3c55 100644 --- a/backend/tests/ohq/test_views.py +++ b/backend/tests/ohq/test_views.py @@ -8,9 +8,11 @@ from djangorestframework_camel_case.util import camelize from rest_framework.test import APIClient from schedule.models import Event, Occurrence +from django.core.files.uploadedfile import SimpleUploadedFile -from ohq.models import Course, Membership, MembershipInvite, Question, Queue, Semester +from ohq.models import Course, Document, Membership, MembershipInvite, Question, Queue, Semester from ohq.serializers import UserPrivateSerializer +from ohq import vector_db User = get_user_model() @@ -444,3 +446,55 @@ def test_update_start(self): occurrences = json.loads(response.content) self.assertEquals(1, len(occurrences)) self.assertEquals(occurrences[0]["start"], new_start_date) + +class VectorDBTestCase(TestCase): + def setUp(self): + self.client = APIClient() + self.semester = Semester.objects.create(year=2020, term=Semester.TERM_SUMMER) + self.course = Course.objects.create( + course_code="000", department="Penn Labs", semester=self.semester + ) + self.head_ta = User.objects.create(username="head_ta") + self.ta = User.objects.create(username="ta") + self.student = User.objects.create(username="student") + Membership.objects.create( + course=self.course, user=self.head_ta, kind=Membership.KIND_HEAD_TA + ) + Membership.objects.create(course=self.course, user=self.ta, kind=Membership.KIND_TA) + Membership.objects.create( + course=self.course, user=self.student, kind=Membership.KIND_STUDENT + ) + + def test_file_upload_and_vector_creation(self): + self.client.force_authenticate(user=self.head_ta) + + file_content = b"This is a test document content." + uploaded_file = SimpleUploadedFile("test", file_content, content_type="pdf") + + response = self.client.post( + reverse("ohq:vectordb-create-documents", kwargs={"course_pk": self.course.id}), + data={"file": uploaded_file}, + ) + + print(response) + + # # Check if the document was created successfully + # self.assertEqual(response.status_code, 201) + # self.assertEqual(Document.objects.count(), 1) + + # # document = Document.objects.first() + + # # Test chunking and embedding + # chunks = vector_db.chunk_text(file_content.decode("utf-8")) + # self.assertEqual(len(chunks), 1) # In this test, entire content is one chunk + + # expected_embeddings = [vector_db.embed_vectors(chunk) for chunk in chunks] + + # # Prepare metadata for chunks + # metadata = { + # "course": str(self.course), + # "document_name": vector_db.sanitize_to_ascii("test.txt"), + # } + # chunks_with_metadata = [(chunk, metadata) for chunk in chunks] + + # vector_db.upload_vectors_with_metadata(chunks_with_metadata, batch_size=1) \ No newline at end of file