Update Dockerfile

Dockerfile

@@ -5,16 +5,29 @@ ENV PYTHONDONTWRITEBYTECODE=1 \
     DEBIAN_FRONTEND=noninteractive \
     PIP_NO_CACHE_DIR=1
 
-# System deps for builds (lxml, numpy/scipy), plus tools
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    build-essential curl wget git \
-    libxml2-dev libxslt1-dev zlib1g-dev \
-    libjpeg-dev libpng-dev \
-    libopenblas-dev liblapack-dev gfortran \
-    ca-certificates && \
+# --------------------------------------------------------------------
+# System deps for builds (numpy/scipy, lxml, TA-Lib) + unixODBC + MS ODBC
+# --------------------------------------------------------------------
+RUN set -eux; \
+    apt-get update; \
+    apt-get install -y --no-install-recommends \
+        build-essential curl wget git ca-certificates gnupg apt-transport-https \
+        libxml2-dev libxslt1-dev zlib1g-dev \
+        libjpeg-dev libpng-dev \
+        libopenblas-dev liblapack-dev gfortran \
+        unixodbc unixodbc-dev; \
+    # Microsoft repo for SQL Server ODBC driver 18
+    curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -; \
+    . /etc/os-release; \
+    echo "deb [arch=amd64] https://packages.microsoft.com/debian/${VERSION_CODENAME}/prod ${VERSION_CODENAME} main" \
+      > /etc/apt/sources.list.d/microsoft-prod.list; \
+    apt-get update; \
+    ACCEPT_EULA=Y apt-get install -y --no-install-recommends msodbcsql18 mssql-tools18; \
     rm -rf /var/lib/apt/lists/*
 
-# Build and install TA-Lib (C library) — robust to varying extract dir names
+# -------------------------------------------------
+# Build and install TA-Lib C library (as you had)
+# -------------------------------------------------
 RUN set -ex \
  && curl -fsSL -o /tmp/ta-lib.tgz http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz \
  && tar -xzf /tmp/ta-lib.tgz -C /tmp \
@@ -26,23 +39,25 @@ RUN set -ex \
 
 WORKDIR /app
 
-# Python deps first (better layer caching)
+# --------------------------
+# Python deps (layer cache)
+# --------------------------
 COPY requirements.txt /app/requirements.txt
 RUN python -m pip install --upgrade pip && \
     pip install --no-cache-dir -r /app/requirements.txt
 
-# PyTorch (CPU wheels from official index)
+# PyTorch CPU
 RUN pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu \
     torch torchvision torchaudio
 
-# Pre-fetch NLTK data used by your code (VADER)
+# NLTK data
 ENV NLTK_DATA=/usr/local/share/nltk_data
 RUN mkdir -p "$NLTK_DATA" && \
     python -c "import nltk; nltk.download('vader_lexicon', download_dir='$NLTK_DATA')"
 
-# Copy the application code
+# App code
 COPY . /app
 
-# Start with gunicorn; HF provides $PORT
-# If your app object is named "app" in "pytrade.py", this is correct.
-CMD bash -lc "gunicorn -w 1 -k gthread -b 0.0.0.0:${PORT:-7860} pytrade:app --timeout 180"
+# Gunicorn entrypoint (Hugging Face sets $PORT)
+CMD ["bash", "-lc", "gunicorn -w 1 -k gthread -b 0.0.0.0:${PORT:-7860} pytrade:app --timeout 180"]
+