# ── Web Framework ─────────────────────────────────────────────────────────────
fastapi>=0.110.0
uvicorn[standard]>=0.29.0
python-multipart>=0.0.9        # required by FastAPI for form/file uploads

# ── Data Validation & Settings ────────────────────────────────────────────────
pydantic>=2.0.0
pydantic-settings>=2.0.0       # BaseSettings / .env loading

# ── Database ──────────────────────────────────────────────────────────────────
sqlalchemy>=2.0.0
alembic>=1.13.0                # database migrations
psycopg2-binary>=2.9.9         # PostgreSQL driver

# ── Authentication & Security ─────────────────────────────────────────────────
python-jose[cryptography]>=3.3.0   # JWT encoding/decoding
passlib[bcrypt]>=1.7.4             # password hashing

# ── ML & Data Science ─────────────────────────────────────────────────────────
xgboost>=2.0.0                 # Layer 1 (time-series) & Layer 2 (operational) prediction
scikit-learn>=1.4.0            # Layer 3 (IsolationForest) & Layer 4 (LogisticRegression)
joblib>=1.3.0                  # model serialisation / deserialisation
numpy>=1.26.0
pandas>=2.2.0

# ── Model Explainability ──────────────────────────────────────────────────────
shap>=0.45.0                   # SHAP feature importance (used in Layer 1 evaluation)
matplotlib>=3.8.0              # SHAP summary plots

# ── Smart Insights (LLM) ──────────────────────────────────────────────────────
groq>=0.9.0                    # Groq API client — Llama 3.3 70B for natural language insights

# ── HTTP & Environment ────────────────────────────────────────────────────────
requests>=2.31.0               # internal HTTP calls (insights endpoint → prediction API)
python-dotenv>=1.0.0           # .env file loading