Update install instructions to use uv sync instead of pip

.github/workflows/ci.yaml

@@ -22,21 +22,29 @@ jobs:
       uses: actions/setup-python@v5
       with:
         python-version: '3.12'
+
+    - name: Install uv
+      uses: astral-sh/setup-uv@v6   
+
     - name: Checkout code
       uses: actions/checkout@v4
+
     - name: Setup prereqs
       run: |
         make init-dev
+
     - name: Run formatting checks
       run: |
         make check
+
     - name: Run unit tests
       working-directory: backend
       run: |
-        pip install huggingface_hub[cli]
+        uv pip install huggingface_hub[cli]
         huggingface-cli download --repo-type dataset The-OpenROAD-Project/ORAssistant_RAG_Dataset --include source_list.json --local-dir data/
         export GOOGLE_API_KEY="dummy-unit-test-key"
         make test
+
     - name: Build Docker images
       run: |
         docker compose build

README.md

@@ -15,14 +15,15 @@ The current architecture uses certain retrieval techniques on OpenROAD documenta
 
 ## Components
 
-We have divided our app into three components, each of which can be hosted on a separate machine for scalability. 
+We have divided our app into three components, each of which can be hosted on a separate machine for scalability.
+
 - Backend: Generates the necessary chat endpoints for users to communicate with.
 - Frontend: We use Streamlit to communicate with a chat endpoint, providing a user-friendly chat interface.
 - Evaluation: Besides the vanilla chat interface, we also have a human evaluation interface for research and development.
 
 ## Setup
 
-This setup involves the setting of both the frontend and backend components. We shall begin with backend: 
+This setup involves the setting of both the frontend and backend components. We shall begin with backend:
 
 ### Backend Setup
 
@@ -40,7 +41,7 @@ git clone https://github.com/The-OpenROAD-Project/ORAssistant.git
 
 Modify the Docker `HEALTHCHECK_` variables based on the hardware requirements.
 If you have a resource-constrained PC, try increasing `HEALTHCHECK_START_PERIOD` to a value large
-enough before healthcheck begins. 
+enough before healthcheck begins.
 For more information, please refer to this [link](https://docs.docker.com/reference/compose-file/services/#healthcheck)
 
 ```bash
@@ -57,16 +58,17 @@ make docker-down
 
 #### Option 2 - Local Install
 
-Prerequisites: 
-- `Python 3.12`, recommended using a virtual environment like `conda`.
-- `wget`
-- `pandoc`
+### Prerequisites
+
+- [`uv`](https://docs.astral.sh/uv/) (for managing Python, virtual environments, and dependencies)  
+- `wget`  
+- `pandoc`  
 - `git`
 
 **Step 1**: Install the required dependencies.
 
- ```bash
-pip install -r backend/requirements.txt
+```bash
+uv sync
 ```
 
 **Step 2**: Copy the `.env.example` file, and update your `.env` file with the appropriate API keys.
@@ -98,7 +100,7 @@ python main.py
 python chatbot.py
 ```
 
-The backend will then be hosted at [http://0.0.0.0:8000](http://0.0.0.0:8000). 
+The backend will then be hosted at [http://0.0.0.0:8000](http://0.0.0.0:8000).
 
 Open [http://0.0.0.0:8000/docs](http://0.0.0.0:8000/docs) for the API docs.
 
@@ -127,7 +129,7 @@ streamlit run streamlit_app.py
 
 ## Architecture Overview
 
-OpenROAD documentation, OpenROAD-flow-scripts documentation, manpages and OpenSTA documentation is chunked and embedded into FAISS Vector Databases.  
+OpenROAD documentation, OpenROAD-flow-scripts documentation, manpages and OpenSTA documentation is chunked and embedded into FAISS Vector Databases.
 
 Documents are first retrieved from the vectorstore using a hybrid retriever, combining vector and semantic search methods. These retrieved documents undergo re-ranking using a cross-encoder re-ranker model.
 
@@ -145,9 +147,10 @@ flowchart LR
 
     id5([Reranking]) ---> id6(top-n docs)
 
-``` 
+```
 
 Depending on the input query, each query can be forwarded to any one of the following retrievers,
+
 1. General OR/ORFS information
 2. OR tools and commands
 3. OR/ORFS installation
@@ -195,7 +198,7 @@ make check
 
 ## Acknowledgements
 
-This work is completed as part of the Google Summer of Code 2024 project under the 
+This work is completed as part of the Google Summer of Code 2024 project under the
 [UCSC Open-Source Program Office](https://ucsc-ospo.github.io/osre24/).
 Please see their contributions at this [link](https://github.com/The-OpenROAD-Project/ORAssistant/wiki/Google-Summer-of-Code-2024).
 

backend/.python-version

@@ -0,0 +1 @@
+3.13

backend/Dockerfile

@@ -1,31 +1,21 @@
-FROM python:3.12.3-slim
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
 
 WORKDIR /ORAssistant-backend
 
-RUN apt-get update && apt-get install -y \
-    pandoc git wget curl \
-    git-lfs
+RUN apt-get update && apt-get install -y pandoc git wget curl git-lfs && git lfs install
 
-RUN git lfs install
+RUN pip install uv
 
-COPY ./requirements.txt /ORAssistant-backend/requirements.txt
-COPY ./requirements-test.txt /ORAssistant-backend/requirements-test.txt
 COPY ./pyproject.toml /ORAssistant-backend/pyproject.toml
+COPY . .
 
-RUN pip install --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt && \
-    pip install --no-cache-dir -r requirements-test.txt && \
-    pip install --no-cache-dir -e .
+RUN uv venv .venv && uv sync --dev && uv run /ORAssistant-backend/src/post_install.py
 
 RUN git clone https://huggingface.co/datasets/The-OpenROAD-Project/ORAssistant_RAG_Dataset && \
     mkdir -p data && \
     mv ORAssistant_RAG_Dataset/* data/ && \
     rm -rf ORAssistant_RAG_Dataset
 
-COPY . .
-
-RUN python /ORAssistant-backend/src/post_install.py
-
 EXPOSE 8000
 
-CMD ["uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]
+CMD ["uv", "run", "uvicorn", "src.api.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]

backend/Dockerfile_slim

@@ -1,4 +1,4 @@
-FROM python:3.12.3-slim
+FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
 
 WORKDIR /ORAssistant-backend
 
@@ -7,20 +7,20 @@ RUN apt-get update && apt-get install -y \
     git-lfs
 
 RUN git lfs install
+RUN pip install uv
 
-COPY ./requirements.txt /ORAssistant-backend/requirements.txt
+COPY ./pyproject.toml /ORAssistant-backend/pyproject.toml
+COPY . .
 
-RUN pip install --upgrade -r /ORAssistant-backend/requirements.txt
+RUN uv venv .venv && \
+    uv sync --dev && \
+    uv run /ORAssistant-backend/src/post_install.py
 
 RUN git clone https://huggingface.co/datasets/The-OpenROAD-Project/ORAssistant_RAG_Dataset && \
     mkdir -p data && \
     mv ORAssistant_RAG_Dataset/* data/ && \
     rm -rf ORAssistant_RAG_Dataset
 
-COPY . .
-
-RUN python /ORAssistant-backend/src/post_install.py
-
 EXPOSE 8000
 
-CMD ["uvicorn", "src.api.dummy:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["uv", "run", "uvicorn", "src.api.dummy:app", "--host", "0.0.0.0", "--port", "8000"]

backend/Makefile

@@ -1,44 +1,35 @@
 .PHONY: init
 init:
-	@python3 -m venv .venv && \
-		. .venv/bin/activate && \
-		pip install -r requirements.txt && \
-		pip install -e .
+	@uv venv .venv && \
+		uv sync
 
 .PHONY: init-dev
-init-dev: init
-	@. .venv/bin/activate && \
-		pip install -r requirements-test.txt
+init-dev:
+	@uv venv .venv && \
+		uv sync --dev
 
 .PHONY: format
 format:
-	@. .venv/bin/activate && \
-		ruff format && \
-		ruff check --fix
+	@uv run ruff format && \
+		uv run ruff check --fix
 
 .PHONY: check
 check:
-	@. .venv/bin/activate && \
-		mypy . && \
-		ruff check
+	@uv run mypy . && \
+		uv run ruff check
 
 .PHONY: build-docs
 build-docs:
-	@. .venv/bin/activate && \
-		python build_docs.py
+	@uv run python build_docs.py
 
 .PHONY: test
 test:
-	@. .venv/bin/activate && \
-		pytest
+	@uv run pytest
 
-# For MCP Development
 .PHONY: mcp
 mcp:
-	@. .venv/bin/activate && \
-		python -m src.openroad_mcp.server.orfs.orfs_server
+	@uv run python -m src.openroad_mcp.server.orfs.orfs_server
 
 .PHONY: chat
 chat:
-	@. .venv/bin/activate && \
-		python -m chatbot
+	@uv run python -m chatbot

backend/README.md

@@ -113,13 +113,19 @@ Provide the value for `HF_TOKEN` with the token that is generated
 
 ## Running the Application
 
+To use that chatbot in a text-based in your terminal, use the `chatbot.py` script:
+```python
+uv run chatbot.py
+```
+
 ### Install Required Packages
 
-Ensure you have the necessary dependencies installed by running:
+Install dependencies defined in `pyproject.toml` with:
 
 ```bash
-pip install -r requirements.txt
+uv sync
 ```
+
 ### Docker Command
 
 If you want to run an isolated container for backend, you can use the following command