feat: Add MySQL support and migration script

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crypto_predictor committed 2026-02-06 16:35:08 +08:00
1 parent 006ccb2a1d
commit 8de6c54887
4 files changed
+427 -93

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@@ -1,22 +1,44 @@
import sqlite3
import pymysql
import pandas as pd
from pathlib import Path
from typing import Optional, List, Tuple
from contextlib import contextmanager
import os
from dotenv import load_dotenv
load_dotenv()
class DatabaseManager:
"""Manages SQLite database for storing OHLCV data."""
"""Manages database for storing OHLCV data.
Supports SQLite (local) and MySQL (remote).
"""
def __init__(self, db_path: str = "./data/market_data.db"):
self.db_path = Path(db_path)
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self.use_mysql = bool(os.getenv('MYSQL_HOST'))
if not self.use_mysql:
self.db_path.parent.mkdir(parents=True, exist_ok=True)
self.initialize_db()
@contextmanager
def get_connection(self):
"""Context manager for database connection."""
conn = sqlite3.connect(self.db_path)
if self.use_mysql:
conn = pymysql.connect(
host=os.getenv('MYSQL_HOST'),
port=int(os.getenv('MYSQL_PORT', 3306)),
user=os.getenv('MYSQL_USER'),
password=os.getenv('MYSQL_PASSWORD'),
database=os.getenv('MYSQL_DB'),
charset='utf8mb4',
# pandas requires standard cursor or handling
)
else:
conn = sqlite3.connect(self.db_path)
try:
yield conn
finally:
@@ -27,27 +49,41 @@ class DatabaseManager:
with self.get_connection() as conn:
cursor = conn.cursor()
# Create OHLCV table
# Composite primary key ensures uniqueness for a specific candle
cursor.execute("""
CREATE TABLE IF NOT EXISTS ohlcv (
timestamp DATETIME,
symbol TEXT,
timeframe TEXT,
open REAL,
high REAL,
low REAL,
close REAL,
volume REAL,
PRIMARY KEY (symbol, timeframe, timestamp)
)
""")
# Create index for faster querying by time range
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_ohlcv_time
ON ohlcv (symbol, timeframe, timestamp)
""")
if self.use_mysql:
# MySQL Schema
cursor.execute("""
CREATE TABLE IF NOT EXISTS ohlcv (
timestamp DATETIME,
symbol VARCHAR(20),
timeframe VARCHAR(10),
open DOUBLE,
high DOUBLE,
low DOUBLE,
close DOUBLE,
volume DOUBLE,
PRIMARY KEY (symbol, timeframe, timestamp),
INDEX idx_ohlcv_time (symbol, timeframe, timestamp)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
""")
else:
# SQLite Schema
cursor.execute("""
CREATE TABLE IF NOT EXISTS ohlcv (
timestamp DATETIME,
symbol TEXT,
timeframe TEXT,
open REAL,
high REAL,
low REAL,
close REAL,
volume REAL,
PRIMARY KEY (symbol, timeframe, timestamp)
)
""")
cursor.execute("""
CREATE INDEX IF NOT EXISTS idx_ohlcv_time
ON ohlcv (symbol, timeframe, timestamp)
""")
conn.commit()
@@ -61,7 +97,7 @@ class DatabaseManager:
if not pd.api.types.is_datetime64_any_dtype(df['timestamp']):
df['timestamp'] = pd.to_datetime(df['timestamp'])
# Convert to string for SQLite compatibility (ISO 8601)
# Convert to string for SQLite compatibility (ISO 8601) or MySQL
df['timestamp'] = df['timestamp'].dt.strftime('%Y-%m-%d %H:%M:%S')
# Add metadata columns if they don't exist
@@ -71,38 +107,62 @@ class DatabaseManager:
df['timeframe'] = timeframe
# Prepare data for insertion (ensure order)
records = df[['timestamp', 'symbol', 'timeframe', 'open', 'high', 'low', 'close', 'volume']].to_records(index=False)
# records = df[['timestamp', 'symbol', 'timeframe', 'open', 'high', 'low', 'close', 'volume']].to_records(index=False)
# to_records returns numpy record array, which sqlite3 adapts.
# For MySQL/pymysql, we need list of tuples.
cols = ['timestamp', 'symbol', 'timeframe', 'open', 'high', 'low', 'close', 'volume']
data = [tuple(row) for row in df[cols].values]
with self.get_connection() as conn:
cursor = conn.cursor()
# efficiently insert or replace
# sqlite3 adapter handles datetime objects correctly
cursor.executemany("""
INSERT OR REPLACE INTO ohlcv
(timestamp, symbol, timeframe, open, high, low, close, volume)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", records)
if self.use_mysql:
# MySQL uses %s and REPLACE INTO
sql = """
REPLACE INTO ohlcv
(timestamp, symbol, timeframe, open, high, low, close, volume)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s)
"""
cursor.executemany(sql, data)
else:
# SQLite uses ? and INSERT OR REPLACE
sql = """
INSERT OR REPLACE INTO ohlcv
(timestamp, symbol, timeframe, open, high, low, close, volume)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
"""
# sqlite3 accepts both list of tuples and numpy records, but list of tuples is safer for compatibility
cursor.executemany(sql, data)
conn.commit()
def get_ohlcv(self, symbol: str, timeframe: str, start_date: Optional[str] = None, end_date: Optional[str] = None) -> pd.DataFrame:
"""Retrieve OHLCV data from database."""
query = """
placeholder = '%s' if self.use_mysql else '?'
query = f"""
SELECT timestamp, open, high, low, close, volume
FROM ohlcv
WHERE symbol = ? AND timeframe = ?
WHERE symbol = {placeholder} AND timeframe = {placeholder}
"""
params = [symbol, timeframe]
if start_date:
query += " AND timestamp >= ?"
query += f" AND timestamp >= {placeholder}"
params.append(start_date)
if end_date:
# Handle 'YYYY-MM-DD' vs full timestamp
if len(str(end_date)) == 10: # YYYY-MM-DD
query += " AND timestamp < date(?, '+1 day')"
# SQLite has date(), MySQL uses DATE() or just string comparison
if self.use_mysql:
query += f" AND timestamp < DATE_ADD({placeholder}, INTERVAL 1 DAY)"
else:
query += f" AND timestamp < date({placeholder}, '+1 day')"
else:
query += " AND timestamp <= ?"
query += f" AND timestamp <= {placeholder}"
params.append(end_date)
query += " ORDER BY timestamp ASC"
@@ -114,26 +174,28 @@ class DatabaseManager:
def get_latest_timestamp(self, symbol: str, timeframe: str) -> Optional[pd.Timestamp]:
"""Get the latest timestamp for a symbol/timeframe."""
placeholder = '%s' if self.use_mysql else '?'
with self.get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
cursor.execute(f"""
SELECT MAX(timestamp)
FROM ohlcv
WHERE symbol = ? AND timeframe = ?
WHERE symbol = {placeholder} AND timeframe = {placeholder}
""", (symbol, timeframe))
result = cursor.fetchone()
return pd.to_datetime(result[0]) if result[0] else None
return pd.to_datetime(result[0]) if result and result[0] else None
def get_earliest_timestamp(self, symbol: str, timeframe: str) -> Optional[pd.Timestamp]:
"""Get the earliest timestamp for a symbol/timeframe."""
placeholder = '%s' if self.use_mysql else '?'
with self.get_connection() as conn:
cursor = conn.cursor()
cursor.execute("""
cursor.execute(f"""
SELECT MIN(timestamp)
FROM ohlcv
WHERE symbol = ? AND timeframe = ?
WHERE symbol = {placeholder} AND timeframe = {placeholder}
""", (symbol, timeframe))
result = cursor.fetchone()
return pd.to_datetime(result[0]) if result[0] else None
return pd.to_datetime(result[0]) if result and result[0] else None