FEAT: Init project structure and basic config

.gitignore

@@ -1,12 +1,8 @@
-# Byte-compiled / optimized / DLL files
+# Python
 __pycache__/
 *.py[cod]
 *$py.class
-
-# C extensions
 *.so
-
-# Distribution / packaging
 .Python
 build/
 develop-eggs/
@@ -20,106 +16,51 @@ parts/
 sdist/
 var/
 wheels/
-share/python-wheels/
 *.egg-info/
 .installed.cfg
 *.egg
-MANIFEST
 
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
+# Virtual Environment
+venv/
+ENV/
+
+# IDEs
+.idea/
+.vscode/
+*.swp
+*.swo
 
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
 
 # Unit test / coverage reports
 htmlcov/
 .tox/
-.nox/
 .coverage
 .coverage.*
 .cache
 nosetests.xml
 coverage.xml
 *.cover
-*.py,cover
 .hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
-.pdm.toml
-.pdm-python
-.pdm-build/
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
 
 # Environments
 .env
@@ -130,33 +71,5 @@ ENV/
 env.bak/
 venv.bak/
 
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+ideas.md
+plan.md

README.md

@@ -1,2 +1,35 @@
-# FinFedRAG-Financial-Federated-RAG
-FinFedRAG: A privacy-preserving framework that combines federated learning and RAG to generate synthetic financial data. It enables secure collaborative model training across institutions while maintaining data privacy and regulatory compliance.
+# Federated Learning for Privacy-Preserving Financial Data Generation with RAG Integration
+
+This project implements a federated learning framework combined with a Retrieval-Augmented Generation (RAG) system to generate privacy-preserving synthetic financial data.
+
+## Features
+
+- Federated Learning using TensorFlow Federated
+- Privacy-preserving data generation using VAE/GAN
+- RAG integration for enhanced data quality
+- Secure Multi-Party Computation (SMPC)
+- Differential Privacy implementation
+- Kubernetes-based deployment
+- Comprehensive monitoring and logging
+
+## Installation
+
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+
+[Add usage instructions here]
+
+## Project Structure
+
+[Add project structure description here]
+
+## License
+
+MIT
+
+## Contributing
+
+[Add contributing guidelines here]

config/client_config.yaml

@@ -0,0 +1,23 @@
+# client_config.yaml configuration
+
+client:
+  # Data configuration
+  data:
+    batch_size: 32
+    shuffle_buffer: 1000
+    input_dim: 32
+
+  # Model configuration
+  model:
+    type: "feedforward"
+    hidden_dims: [128, 64]
+    activation: "relu"
+
+  # Training configuration
+  training:
+    local_epochs: 5
+    learning_rate: 0.001
+    
+monitoring:
+  log_level: "INFO"
+

config/logging_config.yaml

@@ -0,0 +1,19 @@
+version: 1
+formatters:
+  detailed:
+    format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+handlers:
+  console:
+    class: logging.StreamHandler
+    level: INFO
+    formatter: detailed
+    stream: ext://sys.stdout
+  file:
+    class: logging.FileHandler
+    level: INFO
+    formatter: detailed
+    filename: logs/federated_learning.log
+loggers:
+  '':  # Root logger
+    level: INFO
+    handlers: [console, file] 

config/server_config.yaml

@@ -0,0 +1,18 @@
+# server_config.yaml configuration
+
+server:
+  # Federated learning configuration
+  federated:
+    min_clients: 1
+    rounds: 10
+    sample_fraction: 0.8
+    
+  # Aggregation configuration
+  aggregation:
+    method: "fedavg"
+    weighted: true
+    
+  # Monitoring configuration
+  monitoring:
+    log_level: "INFO"
+

dir_structure.md

@@ -0,0 +1,60 @@
+# Directory Structure
+
+```
+federated-rag-financial/
+├── .github/
+│   └── workflows/
+│       └── ci.yml
+├── .gitignore
+├── docker/
+│   ├── Dockerfile.client
+│   ├── Dockerfile.server
+│   └── docker-compose.yml
+├── kubernetes/
+│   ├── deployments/
+│   │   ├── client.yaml
+│   │   ├── server.yaml
+│   │   └── rag.yaml
+│   └── services/
+│       └── service.yaml
+├── src/
+│   ├── __init__.py
+│   ├── client/
+│   │   ├── __init__.py
+│   │   ├── data_handler.py
+│   │   └── model.py
+│   ├── server/
+│   │   ├── __init__.py
+│   │   ├── aggregator.py
+│   │   └── coordinator.py
+│   ├── rag/
+│   │   ├── __init__.py
+│   │   ├── retriever.py
+│   │   └── generator.py
+│   ├── models/
+│   │   ├── __init__.py
+│   │   ├── vae.py
+│   │   └── gan.py
+│   └── utils/
+│       ├── __init__.py
+│       ├── privacy.py
+│       └── metrics.py
+├── tests/
+│   ├── __init__.py
+│   ├── test_client.py
+│   ├── test_server.py
+│   └── test_rag.py
+├── docs/
+│   ├── api/
+│   ├── guides/
+│   └── index.md
+├── notebooks/
+│   ├── data_exploration.ipynb
+│   └── model_evaluation.ipynb
+├── config/
+│   ├── client_config.yaml
+│   └── server_config.yaml
+├── requirements.txt
+├── setup.py
+└── README.md
+```

docker/Dockerfile.client

@@ -0,0 +1,24 @@
+FROM python:3.8-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install Python dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy source code
+COPY src/ src/
+COPY config/ config/
+
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV CONFIG_PATH=/app/config/client_config.yaml
+
+# Run the client
+CMD ["python", "-m", "src.client.model"]

docker/Dockerfile.server

@@ -0,0 +1,27 @@
+FROM python:3.8-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install Python dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy source code
+COPY src/ src/
+COPY config/ config/
+
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV CONFIG_PATH=/app/config/server_config.yaml
+
+# Expose ports for API and monitoring
+EXPOSE 8000 8001
+
+# Run the server
+CMD ["python", "-m", "src.server.coordinator"]

docker/docker-compose.yml

@@ -0,0 +1,40 @@
+version: '3.8'
+
+services:
+  fl-server:
+    build:
+      context: ..
+      dockerfile: docker/Dockerfile.server
+    ports:
+      - "8000:8000"
+      - "8001:8001"
+    volumes:
+      - ../config:/app/config
+    environment:
+      - PYTHONPATH=/app
+      - CONFIG_PATH=/app/config/server_config.yaml
+    networks:
+      - fl-network
+
+  fl-client:
+    build:
+      context: ..
+      dockerfile: docker/Dockerfile.client
+    depends_on:
+      - fl-server
+    volumes:
+      - ../config:/app/config
+    environment:
+      - PYTHONPATH=/app
+      - CONFIG_PATH=/app/config/client_config.yaml
+      - SERVER_HOST=fl-server
+      - SERVER_PORT=8000
+    networks:
+      - fl-network
+    deploy:
+      replicas: 3
+
+networks:
+  fl-network:
+    driver: bridge
+

docs/index.md

@@ -0,0 +1,30 @@
+# Federated Learning for Privacy-Preserving Financial Data Generation
+
+## Overview
+This documentation covers the implementation and usage of a federated learning system for generating synthetic financial data with privacy preservation using RAG (Retrieval-Augmented Generation).
+
+## Quick Start
+- [Installation Guide](guides/installation.md)
+- [Usage Guide](guides/usage.md)
+- [API Reference](api/index.md)
+- [Project Planning](guides/planning.md)
+
+## Architecture
+The system consists of three main components:
+1. Federated Learning Framework
+2. Privacy-Preserving Data Generation
+3. RAG Integration
+
+## Components
+- Client Implementation
+- Server Coordination
+- RAG System
+- Privacy Management
+- Data Handling
+
+## Contributing
+Please read our [Contributing Guidelines](guides/contributing.md) for details on submitting pull requests.
+
+## License
+This project is licensed under the MIT License - see the LICENSE file for details.
+

requirements.txt

@@ -0,0 +1,36 @@
+# Core ML frameworks
+tensorflow>=2.6.0
+tensorflow-federated
+torch>=1.9.0
+transformers
+
+# Data processing
+pandas>=1.3.0
+numpy>=1.19.0
+scikit-learn
+
+# RAG components
+elasticsearch
+faiss-cpu
+
+# Privacy and security
+tensorflow-privacy
+pysyft
+
+# API and web
+flask
+fastapi
+uvicorn
+
+# Testing and development
+pytest
+black
+flake8
+isort
+
+# Documentation
+sphinx
+sphinx-rtd-theme
+
+# Additional requirements
+pyyaml>=5.4.1

src/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+

src/client/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+

src/models/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+

src/rag/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+

src/server/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+

src/utils/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+

tests/__init__.py

@@ -0,0 +1,2 @@
+"""__init__.py module."""
+