# ───────── Core GUI Framework ─────────
gradio==5.27.0
pydantic>=2.6.0,<2.11.0
fastapi>=0.115.0,<0.120.0
starlette==0.45.3

# ───────── Data Processing & Visualization ─────────
pandas>=1.5.0
numpy>=1.21.0,<2.0.0
matplotlib>=3.5.0
plotly>=5.0.0
cartopy>=0.21.0

# ───────── Machine Learning & Statistics ─────────
scikit-learn>=1.0.0
scipy>=1.7.0
statsmodels>=0.13.0

# ───────── Advanced ML Features ─────────
umap-learn>=0.5.0        # UMAP dimensionality reduction for clustering
numba>=0.56.0            # Required for UMAP performance
pynndescent>=0.5.0       # UMAP dependency for nearest neighbor search

# ───────── Enhanced Prediction Models ─────────
tensorflow-cpu>=2.12.0,<2.16.0  # CNN features for advanced predictions
# Note: Using CPU version for better Hugging Face Spaces compatibility

# ───────── Climate & Weather Data ─────────
xarray>=0.20.0
requests>=2.28.0
tropycal>=1.0.0

# ───────── Animation & Video Processing ─────────
imageio>=2.20.0          # For animation export
imageio-ffmpeg>=0.4.7    # FFmpeg support for video generation
opencv-python-headless>=4.6.0  # Computer vision for enhanced animations

# ───────── Geospatial Processing ─────────
shapely>=1.8.0           # Geometric operations
geopandas>=0.12.0        # Geospatial data analysis (optional but useful)

# ───────── Performance & Optimization ─────────
joblib>=1.1.0            # Parallel processing for ML models
threadpoolctl>=3.0.0     # Thread pool control for performance

# ───────── Fixed Protobuf Compatibility ─────────
protobuf>=3.20.0,<4.0.0  # Fixed protobuf version for compatibility

# ───────── Error Handling & Logging ─────────
tqdm>=4.64.0             # Progress bars for data loading
colorlog>=6.6.0          # Enhanced logging with colors

# ───────── Optional Enhanced Features ─────────
# Uncomment the following for additional capabilities:

netcdf4>=1.6.0         # For advanced climate data formats
h5py>=3.7.0            # HDF5 support for large datasets
zarr>=2.12.0           # Chunked, compressed arrays
dask>=2022.8.0         # Parallel computing for large datasets

# Note: The app gracefully handles missing optional dependencies
# and provides fallback functionality when advanced features are unavailable