Update Dockerfile

Dockerfile

@@ -7,8 +7,6 @@ FROM python:3.11-slim
 WORKDIR /app
 
 # 1. Install System-Level Dependencies
-# We need Git (good practice), and Java for the tabula-py library.
-# We also add 'curl' and 'unzip' which can be useful system tools.
 RUN apt-get update && apt-get install -y --no-install-recommends \
     curl \
     unzip \
@@ -18,29 +16,21 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     && rm -rf /var/lib/apt/lists/*
 
 # 2. Install 'uv', the fast Python package manager
-# This makes the subsequent dependency installation much faster.
 RUN curl -LsSf https://astral.sh/uv/install.sh | sh
-ENV PATH="/root/.cargo/bin:${PATH}"
 
 # 3. Install Python Dependencies using 'uv'
-# Copy requirements file first to leverage Docker layer caching
 COPY requirements.txt .
-# Use 'uv pip install' which is a super-fast drop-in replacement for 'pip install'
-RUN uv pip install --no-cache-dir -r requirements.txt
+# Use the full path to the 'uv' executable
+RUN /root/.local/bin/uv pip install --no-cache-dir -r requirements.txt
 
 # 4. Install Playwright Browsers
-# This command installs the necessary browsers for the scrape_dynamic_site tool
 RUN playwright install
 
 # 5. Copy Your Application Code
-# Copy main.py, tools.py, etc., into the container's /app directory
 COPY . .
 
 # 6. Expose the Port
-# Tell Docker that the container will listen on port 8000
 EXPOSE 8000
 
 # 7. Define the Startup Command
-# This command runs your FastAPI server. The --host 0.0.0.0 is ESSENTIAL.
-# We use 'uvicorn' here as 'uv' does not yet have a stable application server.
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]