Merge pull request #1139 from arc53/dependabot/pip/application/langchain-core-0.3.2

chore(deps): bump langchain-core from 0.2.38 to 0.3.2 in /application

.github/workflows/pytest.yml

@@ -6,7 +6,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.11"]
     steps:
       - uses: actions/checkout@v3
       - name: Set up Python ${{ matrix.python-version }}
@@ -21,7 +21,7 @@ jobs:
           if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
       - name: Test with pytest and generate coverage report
         run: |
-          python -m pytest --cov=application --cov=scripts --cov=extensions --cov-report=xml
+          python -m pytest --cov=application --cov-report=xml
       - name: Upload coverage reports to Codecov
         if: github.event_name == 'pull_request' && matrix.python-version == '3.11'
         uses: codecov/codecov-action@v3

application/requirements.txt

@@ -2,35 +2,84 @@ anthropic==0.34.2
 boto3==1.34.153
 beautifulsoup4==4.12.3
 celery==5.3.6
-dataclasses_json==0.6.7
+dataclasses-json==0.6.7
 docx2txt==0.8
 duckduckgo-search==6.2.6
-EbookLib==0.18
+ebooklib==0.18
+elastic-transport==8.15.0
 elasticsearch==8.14.0
 escodegen==1.0.11
 esprima==4.0.1
+esutils==1.0.1
 Flask==3.0.3
 faiss-cpu==1.8.0.post1
 gunicorn==23.0.0
 html2text==2020.1.16
 javalang==0.13.0
-langchain==0.2.16
-langchain-community==0.2.16
-langchain-core==0.2.38
-langchain-openai==0.1.23
-openapi3_parser==1.1.16
+jinja2==3.1.4
+jiter==0.5.0
+jmespath==1.0.1
+joblib==1.4.2
+jsonpatch==1.33
+jsonpointer==3.0.0
+jsonschema==4.23.0
+jsonschema-spec==0.2.4
+jsonschema-specifications==2023.7.1
+kombu==5.4.2
+langchain==0.3.0
+langchain-community==0.3.0
+langchain-core==0.3.2
+langchain-openai==0.2.0
+langchain-text-splitters==0.3.0
+langsmith==0.1.125
+lazy-object-proxy==1.10.0
+lxml==5.3.0
+markupsafe==2.1.5
+marshmallow==3.22.0
+mpmath==1.3.0
+multidict==6.1.0
+mypy-extensions==1.0.0
+networkx==3.3
+numpy==1.26.4
+openai==1.46.1
+openapi-schema-validator==0.6.2
+openapi-spec-validator==0.6.0
+openapi3-parser==1.1.16
+orjson==3.10.7
+packaging==24.1
 pandas==2.2.2
-pydantic_settings==2.4.0
+pathable==0.4.3
+pillow==10.4.0
+portalocker==2.10.1
+prance==23.6.21.0
+primp==0.6.2
+prompt-toolkit==3.0.47
+protobuf==5.28.2
+py==1.11.0
+pydantic==2.9.2
+pydantic-core==2.23.4
+pydantic-settings==2.4.0
 pymongo==4.8.0
-PyPDF2==3.0.1
+pypdf2==3.0.1
+python-dateutil==2.9.0.post0
 python-dotenv==1.0.1
 qdrant-client==1.11.0
 redis==5.0.1
-Requests==2.32.0
+referencing==0.30.2
+regex==2024.9.11
+requests==2.32.3
 retry==0.9.2
 sentence-transformers==3.0.1
 tiktoken==0.7.0
-torch
+tokenizers==0.19.1
+torch==2.4.1
 tqdm==4.66.5
 transformers==4.44.2
-Werkzeug==3.0.4
+typing-extensions==4.12.2
+typing-inspect==0.9.0
+tzdata==2024.1
+urllib3==2.2.3
+vine==5.1.0
+wcwidth==0.2.13
+werkzeug==3.0.4
+yarl==1.11.1

frontend/src/upload/Upload.tsx

@@ -47,8 +47,8 @@ function Upload({
   ];
 
   const [urlType, setUrlType] = useState<{ label: string; value: string }>({
-    label: 'Link',
-    value: 'url',
+    label: 'Crawler',
+    value: 'crawler',
   });
 
   useEffect(() => {

tests/test_vector_store.py

@@ -9,11 +9,33 @@ from application.core.settings import settings
 
 def test_init_local_faiss_store_huggingface():
     """
-    Test that asserts that trying to initialize a FaissStore with
+    Test that asserts that initializing a FaissStore with
     the huggingface sentence transformer below together with the
     index.faiss file in the application/ folder results in a
     dimension mismatch error.
     """
-    settings.EMBEDDINGS_NAME = "openai_text-embedding-ada-002"
-    with pytest.raises(ValueError):
-        FaissStore("application/", "", None)
+    import os
+    from langchain.embeddings import HuggingFaceEmbeddings
+    from langchain.docstore.document import Document
+    from langchain_community.vectorstores import FAISS
+
+    # Ensure application directory exists
+    index_path = os.path.join("application")
+    os.makedirs(index_path, exist_ok=True)
+
+    # Create an index.faiss with a different embeddings dimension
+    # Use a different embedding model with a smaller dimension
+    other_embedding_model = "sentence-transformers/all-MiniLM-L6-v2"  # Dimension 384
+    other_embeddings = HuggingFaceEmbeddings(model_name=other_embedding_model)
+    # Create some dummy documents
+    docs = [Document(page_content="Test document")]
+    # Create index using the other embeddings
+    other_docsearch = FAISS.from_documents(docs, other_embeddings)
+    # Save index to application/
+    other_docsearch.save_local(index_path)
+
+    # Now set the EMBEDDINGS_NAME to the one with a different dimension
+    settings.EMBEDDINGS_NAME = "huggingface_sentence-transformers/all-mpnet-base-v2"  # Dimension 768
+    with pytest.raises(ValueError) as exc_info:
+        FaissStore("", None)
+    assert "Embedding dimension mismatch" in str(exc_info.value)