Merge pull request #25 from eifrach/convert_uv

NO-ISSUE: changing the project to run using UV

Author: eifrach

.dockerignore

@@ -0,0 +1,5 @@
+.tekton/
+.venv/
+.gitignore
+.git/
+openshift/

.gitignore

@@ -1 +1,2 @@
-Snowflake_CSV/
+Snowflake_CSV/
+.venv/

.python-version

@@ -0,0 +1 @@
+3.11

Containerfile

@@ -2,12 +2,19 @@ FROM registry.access.redhat.com/ubi9/python-311
 
 WORKDIR /app
 
-# Copy requirements and install dependencies
-COPY requirements.txt ./
-RUN pip install --no-cache-dir -r requirements.txt
+# Install UV
+RUN pip install uv
 
-# Copy application files
-COPY ./src/ ./
+# Copy project files needed for uv sync
+COPY pyproject.toml ./
+COPY .python-version ./
+COPY README.md ./
+
+# Copy application files (needed for editable install)
+COPY ./src/ ./src/
+
+# Install dependencies using UV
+RUN uv sync --no-dev
 # Environment variables (set these when running the container)
 # SNOWFLAKE_BASE_URL - Snowflake API base URL (optional, defaults to Red Hat's instance)
 # SNOWFLAKE_TOKEN - Snowflake authentication token (required)
@@ -21,4 +28,4 @@ ENV MCP_TRANSPORT=stdio
 # Expose metrics port
 EXPOSE 8000
 
-CMD ["python", "mcp_server.py"]
+CMD ["uv", "run", "python", "src/mcp_server.py"]

README.md

@@ -57,7 +57,8 @@ The server includes optional Prometheus metrics support for monitoring:
 
 ## Prerequisites
 
-- Python 3.8+
+- Python 3.10+
+- [UV](https://docs.astral.sh/uv/) (Python package manager)
 - Podman or Docker
 - Access to Snowflake with appropriate credentials
 
@@ -92,6 +93,22 @@ The following environment variables are used to configure the Snowflake connecti
 
 ## Installation & Setup
 
+### Migration from pip to UV
+
+This project has been updated to use UV for dependency management. If you have an existing setup:
+
+1. Remove your old virtual environment:
+   ```bash
+   rm -rf venv/
+   ```
+
+2. Install UV if you haven't already (see Local Development section below)
+
+3. Install dependencies with UV:
+   ```bash
+   uv sync
+   ```
+
 ### Local Development
 
 1. Clone the repository:
@@ -100,16 +117,28 @@ git clone <repository-url>
 cd jira-mcp-snowflake
 ```
 
-2. Install dependencies:
+2. Install UV if you haven't already:
+```bash
+# On macOS/Linux
+curl -LsSf https://astral.sh/uv/install.sh | sh
+
+# On Windows
+powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
+
+# Or via pip
+pip install uv
+```
+
+3. Install dependencies:
 ```bash
-pip install -r requirements.txt
+uv sync
 ```
 
-3. Set up environment variables (see Environment Variables section above)
+4. Set up environment variables (see Environment Variables section above)
 
-4. Run the server:
+5. Run the server:
 ```bash
-python src/mcp_server.py
+uv run python src/mcp_server.py
 ```
 
 ### Container Deployment
@@ -122,7 +151,7 @@ To build the container image locally using Podman, run:
 podman build -t jira-mcp-snowflake:latest .
 ```
 
-This will create a local image named `jira-mcp-snowflake:latest` that you can use to run the server.
+This will create a local image named `jira-mcp-snowflake:latest` that you can use to run the server. The container now uses UV for fast dependency management.
 
 ## Running with Podman or Docker
 

pyproject.toml

@@ -0,0 +1,24 @@
+[project]
+name = "jira-mcp-snowflake"
+version = "0.1.0"
+description = "A Model Context Protocol (MCP) server that provides access to JIRA issue data stored in Snowflake"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "httpx==0.28.1",
+    "mcp==1.10.1",
+    "prometheus_client==0.20.0",
+]
+
+[project.scripts]
+jira-mcp-snowflake = "src.mcp_server:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src"]
+
+[tool.uv]
+dev-dependencies = []