PACKAGE_STRUCTURE.md¶

LiuEmbeddings - Complete Package Structure¶

Final Directory Layout¶

liuembeddings/
│
├── liuembeddings/                    # Main package directory
│   ├── __init__.py                   # Package initialization (rename from __init___v2.py)
│   ├── embeddings.py                 # Embeddings module (rename from embeddings_v2.py)
│   ├── vectorstore.py                # Vector store module (rename from vectorstore_v2.py)
│   ├── utils.py                      # Utility functions (rename from utils_v2.py)
│   ├── config.py                     # Configuration management
│   └── logger.py                     # Logging setup
│
├── tests/                            # Test directory
│   ├── __init__.py                   # (empty file)
│   ├── test_embeddings.py            # Embeddings tests
│   └── test_vectorstore.py           # Vector store tests
│
├── docs/                             # Documentation (optional)
│   ├── README.md                     # Main documentation
│   ├── DEVELOPER_GUIDE.md            # For developers
│   ├── MIGRATION_GUIDE.md            # Migration guide
│   └── IMPROVEMENTS_SUMMARY.md       # Changes summary
│
│
│
├── example_usage.py                  # Usage examples
├── example.minimal.py                # Usage examples for fastquery
├── setup.py                          # Package setup
├── requirements.txt                  # Dependencies
├── README.md                         # Main README (rename from README_v2.md)
├── LICENSE                           # MIT License
├── .gitignore                        # Git ignore rules
└── MANIFEST.in                       # Package manifest (optional)

File Descriptions & Rename Instructions¶

Core Module Files ()¶

File: embeddings.py - HuggingFace-based embeddings using Universal Sentence Encoder - Supports multiple models (USE, USEL, MiniLM..etc) - Features: model caching, batch processing, type validation - Key Classes: LiuEmbeddings - Key Methods: embed_query(), embed_documents(), embed_documents_batch()

File: vectorstore.py - ChromaDB vector database wrapper - CRUD operations for embeddings - Semantic search capabilities - Metadata support - Key Classes: LiuVectorStore, TFEmbeddingWrapper - Key Methods: add_texts(), query(), search_by_id(), update_by_id(), delete_by_id()

File: utils.py - Text processing utilities - Chunking with overlap - Text cleaning - Batch generators - Key Functions: split_text(), clean_text(), validate_texts(), batch_generator()

File: init.py - Package initialization - Public API exports - Convenience function liu_search() - Imports: LiuEmbeddings, LiuVectorStore, utility functions, LiuConfig

New Supporting Files (KEEP AS IS)¶

File: config.py - Centralized configuration management - Model registry and metadata - Default values for all settings - Logging configuration - Key Class: LiuConfig - Properties: DEFAULT_CHUNK_SIZE, AVAILABLE_MODELS, LOG_LEVEL, etc.

File: logger.py - Logging infrastructure setup - Consistent logging format - Log level management - Key Functions: setup_logger()

Testing Files¶

File: tests/test_embeddings.py - Unit tests for LiuEmbeddings - Test cases: initialization, embedding, error handling, batch processing - Uses pytest fixtures and assertions - ~15 test methods

File: tests/test_vectorstore.py - Unit tests for LiuVectorStore - Test cases: CRUD operations, search, metadata, batch operations - Includes temporary directory management - ~18 test methods

Documentation Files¶

File: README.md (rename from README_v2.md) - User-focused documentation - Quick start guide - API reference - Usage examples - Feature list - Installation instructions

File: DEVELOPER_GUIDE.md - Architecture overview - Module descriptions - Design patterns - Testing guidelines - Performance tips - Code quality tools

File: MIGRATION_GUIDE.md - Step-by-step migration from old version - API changes and new features - Common issues and solutions - Verification checklist

File: IMPROVEMENTS_SUMMARY.md - Summary of all improvements - Quality metrics comparison - Benefits for users and developers - Next steps for production

File: PACKAGE_STRUCTURE.md (this file) - Complete file and directory layout - File descriptions - Quick reference - File dependencies

Configuration Files¶

File: setup.py - Package metadata and configuration - Dependencies specification - Entry points - Classifiers and keywords - Development dependencies

File: requirements.txt - Core dependencies with versions - Optional dev dependencies (commented) - Clear version constraints

File: .gitignore - Python bytecode files - Virtual environments - Build artifacts - IDE files - Project-specific files

File Dependencies & Import Order¶

config.py
    ↓
logger.py (depends on config)
    ↓
embeddings.py (depends on logger, config)
vectorstore.py (depends on logger, config, embeddings)
utils.py (depends on logger, config)
    ↓
__init__.py (depends on all above)

Recommended Import Order¶

# 1. Configuration (no dependencies)
from config import LiuConfig

# 2. Logger (depends on config)
from logger import setup_logger

# 3. Core modules (depend on logger, config)
from embeddings import LiuEmbeddings
from vectorstore import LiuVectorStore
from utils import split_text, clean_text

# 4. Public API (depends on all)
from liuembeddings import LiuEmbeddings, LiuVectorStore, search

Quick Reference¶

User Workflow¶

# 1. Import
from liuembeddings import LiuEmbeddings, LiuVectorStore, split_text

# 2. Create embedder
embedder = LiuEmbeddings()

# 3. Create vector store
store = LiuVectorStore(embedder)

# 4. Add documents
docs = split_text(long_text)
store.add_texts(docs)

# 5. Search
results = store.similarity_search("query")

Developer Workflow¶

# Setup
pip install -r requirements.txt
pip install pytest black flake8 mypy

# Test
pytest tests/ -v
pytest tests/ --cov=liuembeddings

# Format
black liuembeddings/

# Lint
flake8 liuembeddings/

# Type check
mypy liuembeddings/

Module Matrix¶

Version Information¶

• Version: 0.1.0 (Alpha)
• Python: 3.8+
• Status: Production-ready
• License: MIT

File Checklist Before Release¶

• All _v2 files renamed to base names
• Imports updated in init.py
• README.md renamed from README_v2.md
• All tests pass: pytest tests/ -v
• Code formatted: black liuembeddings/
• No linting issues: flake8 liuembeddings/
• Type hints valid: mypy liuembeddings/
• Documentation complete
• setup.py configured
• requirements.txt updated
• .gitignore in place
• LICENSE file included
• Examples working

File Statistics¶

Post-Installation Verification¶

# Verify structure
tree liuembeddings/
# Expected output:
# liuembeddings/
# ├── __init__.py
# ├── embeddings.py
# ├── vectorstore.py
# ├── utils.py
# ├── config.py
# └── logger.py

# Verify imports
python << EOF
from liuembeddings import (
    LiuEmbeddings,
    LiuVectorStore,
    split_text,
    clean_text,
    LiuConfig,
    setup_logger,
    liu_search
)
print("✓ All imports successful")
EOF

# Verify tests
pytest tests/ -v --tb=short

Next: Publishing to PyPI¶

Once verified:

# Build package
python setup.py sdist bdist_wheel

# Upload
twine upload dist/*

# Install from PyPI
pip install liuembeddings

Support & Documentation Index¶