Sync from GitHub via hub-sync

.dockerignore

@@ -0,0 +1,12 @@
+# backend/.dockerignore
+.env
+.venv
+venv
+__pycache__
+*.pyc
+*.pyo
+*.db
+temp_uploads/
+.cache/
+tests/
+*.ipynb

Dockerfile

@@ -1,33 +1,69 @@
 # Base image with Python 3.10
 FROM python:3.10-slim
 
-# Set the working directory
+# Keeps Python from buffering stdout/stderr (important for HF Spaces logs)
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Tell HuggingFace where to cache downloaded models (ViT, BERT)
+# /app/.cache persists better than the default home dir on HF Spaces
+ENV HF_HOME=/app/.cache/huggingface
+ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
+
+# Set working directory
 WORKDIR /app
 
-# Install system dependencies required for OpenCV, PyTorch, etc.
-RUN apt-get update && apt-get install -y \
+# ── System dependencies ───────────────────────────────────────────────────────
+# libgl1 + libglib2.0-0  → OpenCV
+# libcairo2-dev          → WeasyPrint (cairo backend)
+# libpango-1.0-0 + pango-related → WeasyPrint text rendering (YOU WERE MISSING THESE)
+# libgdk-pixbuf2.0-0     → WeasyPrint image support (YOU WERE MISSING THIS)
+# libffi-dev             → cffi (WeasyPrint dep)
+# fonts-liberation       → Fallback fonts so WeasyPrint PDFs don't break
+# libgomp1               → Required by PyTorch CPU ops (YOU WERE MISSING THIS)
+# ffmpeg                 → Video keyframe extraction (needed for your video pipeline)
+RUN apt-get update && apt-get install -y --no-install-recommends \
     libgl1 \
     libglib2.0-0 \
+    libgomp1 \
+    libcairo2-dev \
+    libpango-1.0-0 \
+    libpangocairo-1.0-0 \
+    libgdk-pixbuf2.0-0 \
+    libffi-dev \
+    shared-mime-info \
+    fonts-liberation \
+    fonts-dejavu-core \
     build-essential \
     pkg-config \
-    libcairo2-dev \
+    ffmpeg \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy the requirements file into the container
+# ── Python dependencies ───────────────────────────────────────────────────────
 COPY requirements.txt .
 
-# Install Python dependencies
-# Using --no-cache-dir keeps the Docker image smaller
+# Install PyTorch CPU-only FIRST (avoids pulling the massive CUDA build)
+# CPU-only torch is ~250MB vs ~2.5GB for the default — critical for HF free tier
+RUN pip install --no-cache-dir \
+    torch==2.4.1 \
+    torchvision==0.19.1 \
+    --index-url https://download.pytorch.org/whl/cpu
+
+# Install everything else
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of the backend code
+# ── App code ──────────────────────────────────────────────────────────────────
 COPY . .
 
-# Create directories for models and temporary uploads if they don't exist
-RUN mkdir -p /app/temp_uploads /app/models
+# Create runtime directories
+RUN mkdir -p /app/temp_uploads /app/.cache/huggingface
+
+# ── Security: run as non-root (HF Spaces best practice) ──────────────────────
+RUN useradd -m -u 1000 appuser && \
+    chown -R appuser:appuser /app
+USER appuser
 
-# Expose port 7860 (This is the default port required by Hugging Face Spaces)
+# HF Spaces requires port 7860
 EXPOSE 7860
 
-# Run the FastAPI server on port 7860
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]

logs/deepshield.log

@@ -947,3 +947,5 @@ TypeError: int() argument must be a string, a bytes-like object or a real number
 2026-04-26 22:07:52.752 | ERROR    | services.llm_explainer:generate_llm_summary:296 - LLM explainer failed: cannot import name 'genai' from 'google' (unknown location)
 2026-04-26 22:07:52.756 | ERROR    | services.vlm_breakdown:generate_vlm_breakdown:114 - VLM breakdown failed: cannot import name 'genai' from 'google' (unknown location)
 2026-04-26 22:09:45.469 | INFO     | services.report_service:generate_report:120 - Report generated id=43 path=temp_reports\deepshield_43_262befa5.pdf size=15602B
+2026-04-26 23:15:58.262 | INFO     | services.report_service:cleanup_expired:149 - Cleaned up 2 expired reports
+2026-04-27 01:22:14.691 | INFO     | services.report_service:cleanup_expired:149 - Cleaned up 2 expired reports

requirements.txt

@@ -61,3 +61,7 @@ slowapi==0.1.9
 
 # === Phase 17: Video Pipeline v2 ===
 ffmpeg-python==0.2.0   # Python wrapper for ffmpeg subprocess (audio extraction)
+
+asyncpg
+psycopg2-binary
+alembic

temp_reports/deepshield_43_262befa5.pdf

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