feat: add sqlite database

database/schemas/data.sql

@@ -0,0 +1,5 @@
+CREATE TABLE IF NOT EXISTS users (
+    user_id INTEGER UNIQUE NOT NULL,
+    chart BOOLEAN DEFAULT 1,
+    lang TEXT DEFAULT 'en'
+);

database/server.py

@@ -0,0 +1,189 @@
+import json
+from datetime import date, datetime
+from pathlib import Path
+from typing import Optional, List, Dict, Any
+
+import aiosqlite
+import yaml
+
+config = yaml.safe_load(open('../config.yaml', 'r', encoding='utf-8'))
+
+def custom_encoder(obj):
+    """
+    Custom JSON encoder for objects not serializable by default.
+
+    Converts date and datetime objects to ISO 8601 string format.
+    Raises TypeError for unsupported types.
+    """
+    if isinstance(obj, (date, datetime)):
+        return obj.isoformat()
+    raise TypeError(f"Object of type {obj.__class__.__name__} is not JSON serializable")
+
+class Database:
+    """
+    Asynchronous SQLite database handler using aiosqlite.
+
+    This class manages a single asynchronous connection to an SQLite database file
+    and provides common methods for executing queries, including:
+
+    - Connecting and disconnecting to the database.
+    - Fetching a single row or multiple rows.
+    - Inserting data and returning the last inserted row ID.
+    - Updating or deleting data and returning the count of affected rows.
+
+    Attributes:
+        db_path (str): Path to the SQLite database file.
+        conn (Optional[aiosqlite.Connection]): The active database connection, or None if disconnected.
+
+    Methods:
+        connect(): Asynchronously open a connection to the database.
+        disconnect(): Asynchronously close the database connection.
+        fetch(query, *args): Execute a query and return a single row as a dictionary.
+        fetchmany(query, *args): Execute a query and return multiple rows as a list of dictionaries.
+        insert(query, *args): Execute an INSERT query and return the last inserted row ID.
+        update(query, *args): Execute an UPDATE or DELETE query and return the number of affected rows.
+
+    Raises:
+        RuntimeError: If any method is called before the database connection is established.
+
+    Example:
+        ```python
+        db = Database("example.db")
+        await db.connect()
+        user = await db.fetch("SELECT * FROM users WHERE id = ?", user_id)
+        await db.disconnect()
+        ```
+    """
+
+    def __init__(self, db_path: str):
+        """
+        Initialize Database instance.
+
+        Args:
+            db_path (str): Path to SQLite database file.
+        """
+        self.db_path = db_path
+        self.conn: Optional[aiosqlite.Connection] = None
+
+
+    async def _create_table(self) -> None:
+        """
+        Create table from SQL file using aiosqlite.
+
+        Reads SQL commands from 'schemas/data.sql' 
+            and executes them as a script.
+        """
+        sql_file = Path(__file__).parent / "schemas" / "data.sql"
+        sql = sql_file.read_text(encoding='utf-8')
+
+        async with self.conn.execute("BEGIN"):
+            await self.conn.executescript(sql)
+        await self.conn.commit()
+
+    async def connect(self) -> None:
+        """
+        Open SQLite database connection asynchronously.
+        """
+        self.conn = await aiosqlite.connect(self.db_path)
+        self.conn.row_factory = aiosqlite.Row  # return dict-like rows
+
+    async def disconnect(self) -> None:
+        """
+        Close SQLite database connection asynchronously.
+        """
+        if self.conn:
+            await self.conn.close()
+            self.conn = None
+
+    async def fetch(self, query: str, *args) -> Dict[str, Any]:
+        """
+        Execute a query and fetch a single row as a dictionary.
+
+        Args:
+            query (str): SQL query string.
+            *args: Parameters for the SQL query.
+
+        Returns:
+            Dict[str, Any]: The first row returned by the query as a dict,
+                            or an empty dict if no row is found.
+
+        Raises:
+            RuntimeError: If the database connection is not initialized.
+        """
+        if not self.conn:
+            raise RuntimeError("Database connection is not initialized.")
+
+        async with self.conn.execute(query, args) as cursor:
+            row = await cursor.fetchone()
+            if row:
+                return json.loads(json.dumps(dict(row), default=custom_encoder))
+            return {}
+
+    async def fetchmany(self, query: str, *args) -> List[Dict[str, Any]]:
+        """
+        Execute a query and fetch multiple rows as a list of dictionaries.
+
+        Args:
+            query (str): SQL query string.
+            *args: Parameters for the SQL query.
+
+        Returns:
+            List[Dict[str, Any]]: List of rows as dictionaries,
+                                  or empty list if no rows found.
+
+        Raises:
+            RuntimeError: If the database connection is not initialized.
+        """
+        if not self.conn:
+            raise RuntimeError("Database connection is not initialized.")
+
+        async with self.conn.execute(query, args) as cursor:
+            rows = await cursor.fetchall()
+            return json.loads(
+                json.dumps(
+                    [dict(row) for row in rows], 
+                    default=custom_encoder
+                )
+                ) if rows else []
+
+    async def insert(self, query: str, *args) -> Dict[str, Any]:
+        """
+        Execute an INSERT query and return the last inserted row ID.
+
+        Args:
+            query (str): SQL INSERT query string.
+            *args: Parameters for the SQL query.
+
+        Returns:
+            Dict[str, Any]: Dictionary containing the last inserted row ID.
+
+        Raises:
+            RuntimeError: If the database connection is not initialized.
+        """
+        if not self.conn:
+            raise RuntimeError("Database connection is not initialized.")
+
+        async with self.conn.execute(query, args) as cursor:
+            await self.conn.commit()
+            return {"last_row_id": cursor.lastrowid}
+
+    async def update(self, query: str, *args) -> Dict[str, Any]:
+        """
+        Execute an UPDATE or DELETE query and return affected rows count.
+
+        Args:
+            query (str): SQL UPDATE or DELETE query string.
+            *args: Parameters for the SQL query.
+
+        Returns:
+            Dict[str, Any]: Dictionary containing the number of affected rows.
+
+        Raises:
+            RuntimeError: If the database connection is not initialized.
+        """
+        if not self.conn:
+            raise RuntimeError("Database connection is not initialized.")
+
+        async with self.conn.execute(query, args) as cursor:
+            await self.conn.commit()
+            return {"rows_affected": cursor.rowcount}

main.py

@@ -13,12 +13,14 @@ from functions.convert import Converter
 from functions.create_chart import create_chart
 from utils.format_number import format_number
 from utils.inline_query import reply
+from database.server import Database
 
 config = yaml.safe_load(open('../config.yaml', 'r', encoding='utf-8'))
 bot = Bot(
     token=config['telegram_token'],
     default=DefaultBotProperties(parse_mode=ParseMode.HTML)
     )
+db = Database('shirino.db')
 
 router = Router()
 
@@ -127,6 +129,8 @@ async def currency(query: types.InlineQuery) -> None:
 
 
 async def on_startup(bot: Bot) -> None:
+    await db.connect()
+    await db._create_table()
     await bot.set_webhook(
         f"{config['webhook']['base_url']}{config['webhook']['path']}",
         secret_token=config['webhook']['secret_token'],
@@ -134,11 +138,16 @@ async def on_startup(bot: Bot) -> None:
         )
 
 
+async def on_shutdown():
+    await db.disconnect()
+
+
 def main() -> None:
     dp = Dispatcher()
 
     dp.include_router(router)
     dp.startup.register(on_startup)
+    dp.shutdown.register(on_shutdown)
 
     app = web.Application()
     webhook_requests_handler = SimpleRequestHandler(

requirements.txt

@@ -1,3 +1,4 @@
 aiohttp~=3.9.5
 PyYAML~=6.0.1
-aiogram~=3.15.0
+aiogram~=3.15.0
+aiosqlite~=0.21.0