# =============================================================================
# requirements.txt
# Phishing URL Detection — inference scripts + FastAPI server
# Tested with Python 3.10
# =============================================================================

# ── Machine Learning ──────────────────────────────────────────────────────
scikit-learn==1.1.2          # DecisionTree, LogisticRegression + joblib integration
lightgbm>=4.0.0              # LightGBM model
joblib>=1.3.0                # Model serialization / deserialization

# ── Data ──────────────────────────────────────────────────────────────────
pandas>=2.0.0                # DataFrame construction for feature vectors
numpy>=1.24.0                # Underlying array operations (transitive dep, pinned for stability)

# ── API Framework ─────────────────────────────────────────────────────────
fastapi>=0.111.0             # Web framework
uvicorn[standard]>=0.29.0    # ASGI server (includes httptools + uvloop for performance)
pydantic>=2.0.0              # Request/response validation (FastAPI v2 uses Pydantic v2)
python-dotenv>=1.0.0         # .env file loading (API_KEYS)
wsgiproxy2>=0.4.6
a2wsgi>=1.10.0

# ── System / Profiling (used by original inference scripts) ───────────────
psutil>=5.9.0                # Memory profiling in original scripts