aszerW
988c2335fb
- 新增 .env.example，包含 Tushare API、钉钉机器人和PostgreSQL数据库配置模板 - 更新.gitignore，忽略本地配置文件如 .env.local 和 config_local.py - 添加对报表文件命名规则的支持，保留示例文件不忽略 - 删除废弃的 chart.py 及相关图表模块代码 - 新增 config/settings.py，实现从环境变量读取配置的统一接口 - 设置数据目录及缓存目录，确保目录存在，提高配置管理规范性
98 lines
2.6 KiB
Python
98 lines
2.6 KiB
Python
"""
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K线图表组件
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基于lightweight-charts的K线图表
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"""
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import pandas as pd
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from lightweight_charts import Chart
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from datetime import datetime
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class KlineChart:
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"""K线图表类"""
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def __init__(self, title: str = "K线图", toolbox: bool = True):
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self.title = title
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self.toolbox = toolbox
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self.chart = None
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self.subcharts = {}
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def create(self, maximize: bool = True) -> Chart:
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"""创建图表实例"""
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self.chart = Chart(toolbox=self.toolbox, inner_height=0.8, maximize=maximize)
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self.chart.layout(font_family="Times New Roman")
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self.chart.legend(visible=True, font_size=14, color="#FFFFFF")
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return self.chart
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def set_data(self, df: pd.DataFrame, time_col: str = "time"):
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"""设置K线数据"""
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if self.chart is None:
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self.create()
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# 验证数据
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required_cols = ["open", "high", "low", "close", "volume"]
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missing = [c for c in required_cols if c not in df.columns]
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if missing:
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raise ValueError(f"缺少必要列: {missing}")
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# 确保时间列格式正确
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df = df.copy()
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if time_col in df.columns:
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df[time_col] = pd.to_datetime(df[time_col])
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self.chart.set(df)
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def set_visible_range(self, start_time: datetime, end_time: datetime):
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"""设置可见范围"""
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if self.chart:
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self.chart.set_visible_range(start_time, end_time)
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def add_topbar_text(self, key: str, text: str):
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"""添加顶部栏文本"""
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if self.chart:
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self.chart.topbar.textbox(key, text)
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def show(self, block: bool = True):
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"""显示图表"""
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if self.chart:
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self.chart.show(block=block)
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def create_kline_chart(
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df: pd.DataFrame,
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symbol: str,
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name: str,
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timeframe: str,
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init_visible_bars: int = 90,
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) -> Chart:
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"""
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快速创建K线图表
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Args:
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df: DataFrame with OHLCV data
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symbol: 标的代码
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name: 标的名称
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timeframe: 时间周期
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init_visible_bars: 初始可见K线数量
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Returns:
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Chart实例
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"""
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chart = KlineChart()
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chart.create(maximize=True)
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chart.add_topbar_text("symbol", symbol)
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chart.add_topbar_text("name", name)
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chart.add_topbar_text("timeframe", timeframe)
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chart.set_data(df)
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# 设置初始可见范围
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if len(df) > init_visible_bars:
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end_time = df["time"].iloc[-1]
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start_time = df["time"].iloc[-init_visible_bars]
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chart.set_visible_range(start_time, end_time)
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return chart.chart
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