# Legacy: Old Packaging Approaches (v0.1.0-rc12)
# Different packaging and distribution strategies tested
# Replaced by current setuptools + pyproject.toml approach in v0.2.0

import os
import sys
from pathlib import Path

# Approach 1: Manual Installation (Early Development)
"""
Early development had no packaging - users had to:
1. Clone the repository
2. Install dependencies manually
3. Add the directory to PYTHONPATH
4. Import modules directly

This was problematic because:
- No dependency management
- Hard to install
- No version control
- Manual setup required
"""

# Approach 2: Simple Setup.py
"""
setup.py (v0.1.0-alpha):
from setuptools import setup, find_packages

setup(
    name="echogem",
    version="0.1.0",
    packages=find_packages(),
    install_requires=[
        "google-generativeai",
        "pinecone-client",
        "sentence-transformers",
        "pandas",
        "numpy"
    ],
    entry_points={
        "console_scripts": [
            "echogem=echogem.cli:main"
        ]
    }
)

Problems:
- No modern Python packaging standards
- Missing metadata
- No development dependencies
- No build system specification
"""

# Approach 3: Requirements.txt Only
"""
requirements.txt (v0.1.0-beta):
google-generativeai>=0.3.0
pinecone-client>=2.2.0
sentence-transformers>=2.2.0
pandas>=1.5.0
numpy>=1.21.0

Problems:
- No package metadata
- No entry points
- No version specification
- Just a list of dependencies
"""

# Approach 4: Poetry-Based Packaging
"""
pyproject.toml (Poetry approach):
[tool.poetry]
name = "echogem"
version = "0.1.0"
description = "Transcript processing and Q&A library"
authors = ["Your Name <your.email@example.com>"]
readme = "README.md"
packages = [{include = "echogem"}]

[tool.poetry.dependencies]
python = "^3.8"
google-generativeai = "^0.3.0"
pinecone-client = "^2.2.0"
sentence-transformers = "^2.2.0"
pandas = "^1.5.0"
numpy = "^1.21.0"

[tool.poetry.group.dev.dependencies]
pytest = "^7.0.0"
black = "^22.0.0"
flake8 = "^5.0.0"

[tool.poetry.scripts]
echogem = "echogem.cli:main"

Problems:
- Additional dependency (Poetry)
- Different workflow than standard pip
- Learning curve for users
- Not as widely adopted as setuptools
"""

# Approach 5: Flit-Based Packaging
"""
pyproject.toml (Flit approach):
[build-system]
requires = ["flit_core>=3.2"]
build-backend = "flit_core.buildapi"

[project]
name = "echogem"
version = "0.1.0"
description = "Transcript processing and Q&A library"
authors = [
    {name = "Your Name", email = "your.email@example.com"}
]
readme = "README.md"
requires-python = ">=3.8"
dependencies = [
    "google-generativeai>=0.3.0",
    "pinecone-client>=2.2.0",
    "sentence-transformers>=2.2.0",
    "pandas>=1.5.0",
    "numpy>=1.21.0",
]

[project.scripts]
echogem = "echogem.cli:main"

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "black>=22.0.0",
    "flake8>=5.0.0",
]

Problems:
- Additional dependency (Flit)
- Less mature than setuptools
- Different configuration format
"""

# Approach 6: Hatch-Based Packaging
"""
pyproject.toml (Hatch approach):
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "echogem"
version = "0.1.0"
description = "Transcript processing and Q&A library"
readme = "README.md"
requires-python = ">=3.8"
license = "MIT"
authors = [
    {name = "Your Name", email = "your.email@example.com"}
]
keywords = ["transcript", "nlp", "qa", "vector-search"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
]

dependencies = [
    "google-generativeai>=0.3.0",
    "pinecone-client>=2.2.0",
    "sentence-transformers>=2.2.0",
    "pandas>=1.5.0",
    "numpy>=1.21.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "black>=22.0.0",
    "flake8>=5.0.0",
    "mypy>=1.0.0",
]

[project.scripts]
echogem = "echogem.cli:main"

[project.urls]
Homepage = "https://github.com/yourusername/echogem"
Repository = "https://github.com/yourusername/echogem"
Documentation = "https://echogem.readthedocs.io"
Issues = "https://github.com/yourusername/echogem/issues"

[tool.hatch.build.targets.wheel]
packages = ["echogem"]

Problems:
- Additional dependency (Hatch)
- More complex configuration
- Different workflow than standard tools
"""

# Approach 7: Multi-Format Packaging
"""
Attempted to support multiple packaging formats:

setup.py:
from setuptools import setup, find_packages

setup(
    name="echogem",
    version="0.1.0",
    packages=find_packages(),
    install_requires=[
        "google-generativeai>=0.3.0",
        "pinecone-client>=2.2.0",
        "sentence-transformers>=2.2.0",
        "pandas>=1.5.0",
        "numpy>=1.21.0",
    ],
    entry_points={
        "console_scripts": [
            "echogem=echogem.cli:main"
        ]
    }
)

pyproject.toml:
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "echogem"
version = "0.1.0"
description = "Transcript processing and Q&A library"
# ... rest of configuration

requirements.txt:
google-generativeai>=0.3.0
pinecone-client>=2.2.0
sentence-transformers>=2.2.0
pandas>=1.5.0
numpy>=1.21.0

Problems:
- Duplicate configuration
- Maintenance overhead
- Potential inconsistencies
- Confusing for users
"""

# Approach 8: Minimal Packaging
"""
Minimal setup.py approach:
from setuptools import setup

setup(
    name="echogem",
    version="0.1.0",
    py_modules=["chunker", "vector_store", "processor"],
    install_requires=[
        "google-generativeai",
        "pinecone-client",
        "sentence-transformers",
        "pandas",
        "numpy"
    ]
)

Problems:
- No package structure
- Flat module layout
- No entry points
- Limited functionality
"""

# CURRENT APPROACH: Modern Setuptools + pyproject.toml
# ===================================================

"""
Current approach uses:
- pyproject.toml for build system specification
- setuptools as the build backend
- Modern Python packaging standards
- Clear dependency specification
- Proper entry points
- Development dependencies

Benefits:
- Standard Python packaging
- No additional tools required
- Modern standards compliance
- Easy to understand and maintain
- Works with all Python tools
"""

# Migration Guide
# ===============

def migrate_from_manual_installation():
    """Migrate from manual installation to packaged installation"""
    # OLD:
    # git clone https://github.com/yourusername/echogem.git
    # cd echogem
    # pip install -r requirements.txt
    # export PYTHONPATH=$PYTHONPATH:$(pwd)
    # python -c "import echogem"
    
    # NEW:
    # pip install echogem
    # echogem --help
    pass

def migrate_from_old_setup():
    """Migrate from old setup.py to modern packaging"""
    # OLD:
    # python setup.py install
    
    # NEW:
    # pip install -e .
    # or
    # pip install .
    pass

def migrate_from_requirements_only():
    """Migrate from requirements.txt to proper packaging"""
    # OLD:
    # pip install -r requirements.txt
    
    # NEW:
    # pip install echogem
    pass

# Why Current Approach Was Chosen
# ===============================

REASONS_FOR_CURRENT_APPROACH = [
    "Standard Python packaging (setuptools)",
    "Modern standards compliance (PEP 517/518)",
    "No additional dependencies or tools",
    "Works with all Python packaging tools",
    "Easy to understand and maintain",
    "Familiar to Python developers",
    "Good documentation and community support",
    "Future-proof and maintainable"
]

# Packaging Best Practices
# ========================

PACKAGING_BEST_PRACTICES = [
    "Use pyproject.toml for build system specification",
    "Specify dependencies with version constraints",
    "Include development dependencies",
    "Provide entry points for CLI tools",
    "Include proper metadata and classifiers",
    "Use semantic versioning",
    "Provide clear installation instructions",
    "Test installation in clean environments"
]

# Future Considerations
# ====================

FUTURE_PACKAGING_OPTIONS = [
    "Consider Poetry for dependency management",
    "Evaluate Hatch for build system",
    "Monitor Python packaging standards evolution",
    "Keep dependencies minimal and focused",
    "Maintain backward compatibility",
    "Provide migration guides for users"
]
