# Python Backend Environment Configuration

# Server Configuration
PORT=7860
HOST=0.0.0.0
NODE_ENV=production

# AI/ML Configuration
EMBEDDING_MODEL=sentence-transformers/all-mpnet-base-v2
WORD_SIMILARITY_THRESHOLD=0.65
MAX_VOCAB_SIZE=30000

# Vocabulary Configuration
# Options: "norvig" (default, recommended), "wordfreq" (legacy)
VOCAB_SOURCE=norvig
NORVIG_VOCAB_PATH=words/norvig/count_1w100k.txt
THEMATIC_VOCAB_SIZE_LIMIT=100000
THEMATIC_MODEL_NAME=all-mpnet-base-v2

# Cache Configuration
CACHE_DIR=./cache-dir

# Debug and Development Options
ENABLE_DEBUG_TAB=true
ENABLE_DISTRIBUTION_NORMALIZATION=false

# Multi-topic Configuration
MULTI_TOPIC_METHOD=soft_minimum
SOFT_MIN_BETA=10.0
SOFT_MIN_ADAPTIVE=true
SOFT_MIN_MIN_WORDS=15
SOFT_MIN_MAX_RETRIES=5
SOFT_MIN_BETA_DECAY=0.7

# Normalization Configuration (when enabled)
NORMALIZATION_METHOD=similarity_range

# HuggingFace Configuration (if needed for cloud inference)
HUGGINGFACE_API_KEY=your_huggingface_api_key_here

# Logging
LOG_LEVEL=INFO

# Development settings
RELOAD=false