Implement Repository Interface and File Repository

[seekersoftec]

Task:

1. Create a Base Repository Interface: Define a generic interface that outlines the common methods and properties required for storing models, data, and orders.
2. Implement a File Repository: Create a specific implementation of the Repository interface that stores data in the file system, using SQLite for data and orders.

Base Repository Interface (Python):

class Repository:
    def save_model(self, model, filename):
        pass

    def load_model(self, filename):
        pass

    def save_data(self, data, filename):
        pass

    def load_data(self, filename):
        pass

    def save_orders(self, orders):
        pass

    def load_orders(self):
        pass

    # Other common repository methods

File Repository (Python):

import sqlite3

class FileRepository(Repository):
    def __init__(self, db_path):
        self.db_path = db_path
        self.conn = sqlite3.connect(db_path)
        self.create_tables()

    def create_tables(self):
        # Create SQLite tables for models, data, and orders
        c = self.conn.cursor()
        c.execute('''CREATE TABLE IF NOT EXISTS models (id INTEGER PRIMARY KEY, filename TEXT, data BLOB)''')
        c.execute('''CREATE TABLE IF NOT EXISTS data (id INTEGER PRIMARY KEY, filename TEXT, data BLOB)''')
        c.execute('''CREATE TABLE IF NOT EXISTS orders (id INTEGER PRIMARY KEY, symbol TEXT, quantity INTEGER, price REAL, side TEXT, status TEXT)''')
        self.conn.commit()

    def save_model(self, model, filename):
        # Save the model to a file and store the filename in the database
        model.save(filename)
        c = self.conn.cursor()
        c.execute('''INSERT INTO models (filename, data) VALUES (?, ?)''', (filename, model.to_bytes()))
        self.conn.commit()

    # Implement other methods for saving and loading models, data, and orders

Additional Considerations:

• Data Serialization: Choose appropriate serialization methods (e.g., pickle, JSON) for saving and loading models and data.
• Database Schema: Design a suitable database schema for storing orders, considering fields like symbol, quantity, price, side, and status.
• Performance Optimization: Consider performance implications when storing and retrieving large amounts of data.
• Error Handling: Implement robust error handling to handle potential exceptions during file operations or database interactions.

By creating a base repository interface and a file repository implementation, we can establish a foundation for storing and managing models, data, and orders in our trading system.