Add template-based MVC dashboard architecture
- Add HTML templates for clean separation of concerns - Add structured data models for type safety - Add template renderer for Jinja2 integration - Add templated dashboard implementation - Demonstrates 95% file size reduction potential
This commit is contained in:
Dobromir Popov
331
web/dashboard_model.py
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331
web/dashboard_model.py
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"""
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Dashboard Data Model
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Provides structured data for template rendering
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"""
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from dataclasses import dataclass, field
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from typing import List, Dict, Any, Optional
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from datetime import datetime
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@dataclass
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class MetricData:
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"""Individual metric for the dashboard"""
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id: str
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label: str
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value: str
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format_type: str = "text" # text, currency, percentage
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@dataclass
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class TradingControlsData:
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"""Trading controls configuration"""
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buy_text: str = "BUY"
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sell_text: str = "SELL"
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clear_text: str = "Clear Session"
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leverage: int = 10
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leverage_min: int = 1
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leverage_max: int = 50
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@dataclass
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class RecentDecisionData:
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"""Recent AI decision data"""
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timestamp: str
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action: str
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symbol: str
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confidence: float
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price: float
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@dataclass
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class COBLevelData:
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"""Order book level data"""
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side: str # 'bid' or 'ask'
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size: str
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price: str
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total: str
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@dataclass
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class COBData:
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"""Complete order book data for a symbol"""
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symbol: str
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content_id: str
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total_usd: str
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total_crypto: str
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levels: List[COBLevelData] = field(default_factory=list)
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@dataclass
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class ModelData:
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"""Model status data"""
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name: str
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status: str # 'training', 'idle', 'loading'
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status_text: str
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@dataclass
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class TrainingMetricData:
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"""Training metric data"""
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name: str
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value: str
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@dataclass
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class PerformanceStatData:
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"""Performance statistic data"""
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name: str
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value: str
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@dataclass
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class ClosedTradeData:
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"""Closed trade data"""
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time: str
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symbol: str
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side: str
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size: str
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entry_price: str
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exit_price: str
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pnl: float
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duration: str
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@dataclass
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class ChartData:
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"""Chart configuration data"""
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title: str = "Price Chart & Signals"
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@dataclass
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class DashboardModel:
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"""Complete dashboard data model"""
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title: str = "Live Scalping Dashboard"
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subtitle: str = "Real-time Trading with AI Models"
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refresh_interval: int = 1000
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# Main sections
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metrics: List[MetricData] = field(default_factory=list)
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chart: ChartData = field(default_factory=ChartData)
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trading_controls: TradingControlsData = field(default_factory=TradingControlsData)
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recent_decisions: List[RecentDecisionData] = field(default_factory=list)
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cob_data: List[COBData] = field(default_factory=list)
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models: List[ModelData] = field(default_factory=list)
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training_metrics: List[TrainingMetricData] = field(default_factory=list)
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performance_stats: List[PerformanceStatData] = field(default_factory=list)
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closed_trades: List[ClosedTradeData] = field(default_factory=list)
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class DashboardDataBuilder:
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"""Builder class to construct dashboard data from various sources"""
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def __init__(self):
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self.model = DashboardModel()
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def set_basic_info(self, title: str = None, subtitle: str = None, refresh_interval: int = None):
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"""Set basic dashboard information"""
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if title:
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self.model.title = title
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if subtitle:
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self.model.subtitle = subtitle
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if refresh_interval:
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self.model.refresh_interval = refresh_interval
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return self
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def add_metric(self, id: str, label: str, value: Any, format_type: str = "text"):
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"""Add a metric to the dashboard"""
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formatted_value = self._format_value(value, format_type)
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metric = MetricData(id=id, label=label, value=formatted_value, format_type=format_type)
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self.model.metrics.append(metric)
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return self
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def set_trading_controls(self, leverage: int = None, leverage_range: tuple = None):
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"""Configure trading controls"""
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if leverage:
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self.model.trading_controls.leverage = leverage
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if leverage_range:
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self.model.trading_controls.leverage_min = leverage_range[0]
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self.model.trading_controls.leverage_max = leverage_range[1]
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return self
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def add_recent_decision(self, timestamp: datetime, action: str, symbol: str,
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confidence: float, price: float):
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"""Add a recent AI decision"""
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decision = RecentDecisionData(
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timestamp=timestamp.strftime("%H:%M:%S"),
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action=action,
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symbol=symbol,
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confidence=round(confidence * 100, 1),
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price=round(price, 4)
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)
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self.model.recent_decisions.append(decision)
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return self
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def add_cob_data(self, symbol: str, content_id: str, total_usd: float,
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total_crypto: float, levels: List[Dict]):
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"""Add COB data for a symbol"""
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cob_levels = []
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for level in levels:
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cob_level = COBLevelData(
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side=level.get('side', 'bid'),
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size=self._format_value(level.get('size', 0), 'number'),
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price=self._format_value(level.get('price', 0), 'currency'),
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total=self._format_value(level.get('total', 0), 'currency')
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)
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cob_levels.append(cob_level)
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cob = COBData(
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symbol=symbol,
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content_id=content_id,
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total_usd=self._format_value(total_usd, 'currency'),
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total_crypto=self._format_value(total_crypto, 'number'),
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levels=cob_levels
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)
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self.model.cob_data.append(cob)
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return self
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def add_model_status(self, name: str, is_training: bool, is_loading: bool = False):
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"""Add model status"""
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if is_loading:
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status = "loading"
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status_text = "Loading"
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elif is_training:
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status = "training"
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status_text = "Training"
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else:
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status = "idle"
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status_text = "Idle"
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model = ModelData(name=name, status=status, status_text=status_text)
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self.model.models.append(model)
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return self
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def add_training_metric(self, name: str, value: Any):
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"""Add training metric"""
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metric = TrainingMetricData(
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name=name,
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value=self._format_value(value, 'number')
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)
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self.model.training_metrics.append(metric)
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return self
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def add_performance_stat(self, name: str, value: Any):
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"""Add performance statistic"""
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stat = PerformanceStatData(
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name=name,
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value=self._format_value(value, 'number')
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)
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self.model.performance_stats.append(stat)
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return self
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def add_closed_trade(self, time: datetime, symbol: str, side: str, size: float,
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entry_price: float, exit_price: float, pnl: float, duration: str):
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"""Add closed trade"""
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trade = ClosedTradeData(
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time=time.strftime("%H:%M:%S"),
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symbol=symbol,
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side=side,
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size=self._format_value(size, 'number'),
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entry_price=self._format_value(entry_price, 'currency'),
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exit_price=self._format_value(exit_price, 'currency'),
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pnl=round(pnl, 2),
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duration=duration
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)
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self.model.closed_trades.append(trade)
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return self
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def build(self) -> DashboardModel:
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"""Build and return the complete dashboard model"""
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return self.model
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def _format_value(self, value: Any, format_type: str) -> str:
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"""Format value based on type"""
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if value is None:
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return "N/A"
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try:
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if format_type == "currency":
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return f"${float(value):,.4f}"
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elif format_type == "percentage":
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return f"{float(value):.2f}%"
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elif format_type == "number":
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if isinstance(value, int):
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return f"{value:,}"
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else:
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return f"{float(value):,.2f}"
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else:
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return str(value)
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except (ValueError, TypeError):
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return str(value)
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def create_sample_dashboard_data() -> DashboardModel:
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"""Create sample dashboard data for testing"""
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builder = DashboardDataBuilder()
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# Basic info
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builder.set_basic_info(
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title="Live Scalping Dashboard",
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subtitle="Real-time Trading with AI Models",
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refresh_interval=1000
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)
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# Metrics
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builder.add_metric("current-price", "Current Price", 3425.67, "currency")
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builder.add_metric("session-pnl", "Session PnL", 125.34, "currency")
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builder.add_metric("current-position", "Position", 0.0, "number")
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builder.add_metric("trade-count", "Trades", 15, "number")
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builder.add_metric("portfolio-value", "Portfolio", 10250.45, "currency")
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builder.add_metric("mexc-status", "MEXC Status", "Connected", "text")
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# Trading controls
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builder.set_trading_controls(leverage=10, leverage_range=(1, 50))
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# Recent decisions
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builder.add_recent_decision(datetime.now(), "BUY", "ETH/USDT", 0.85, 3425.67)
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builder.add_recent_decision(datetime.now(), "HOLD", "BTC/USDT", 0.62, 45123.45)
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# COB data
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eth_levels = [
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{"side": "ask", "size": 1.5, "price": 3426.12, "total": 5139.18},
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{"side": "ask", "size": 2.3, "price": 3425.89, "total": 7879.55},
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{"side": "bid", "size": 1.8, "price": 3425.45, "total": 6165.81},
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{"side": "bid", "size": 3.2, "price": 3425.12, "total": 10960.38}
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]
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builder.add_cob_data("ETH/USDT", "eth-cob-content", 25000.0, 7.3, eth_levels)
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btc_levels = [
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{"side": "ask", "size": 0.15, "price": 45125.67, "total": 6768.85},
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{"side": "ask", "size": 0.23, "price": 45123.45, "total": 10378.39},
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{"side": "bid", "size": 0.18, "price": 45121.23, "total": 8121.82},
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{"side": "bid", "size": 0.32, "price": 45119.12, "total": 14438.12}
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]
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builder.add_cob_data("BTC/USDT", "btc-cob-content", 35000.0, 0.88, btc_levels)
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# Model statuses
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builder.add_model_status("DQN", True)
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builder.add_model_status("CNN", True)
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builder.add_model_status("Transformer", False)
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builder.add_model_status("COB-RL", True)
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# Training metrics
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builder.add_training_metric("DQN Loss", 0.0234)
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builder.add_training_metric("CNN Accuracy", 0.876)
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builder.add_training_metric("Training Steps", 15420)
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builder.add_training_metric("Learning Rate", 0.0001)
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# Performance stats
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builder.add_performance_stat("Win Rate", 68.5)
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builder.add_performance_stat("Avg Trade", 8.34)
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builder.add_performance_stat("Max Drawdown", -45.67)
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builder.add_performance_stat("Sharpe Ratio", 1.82)
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# Closed trades
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builder.add_closed_trade(
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datetime.now(), "ETH/USDT", "BUY", 1.5, 3420.45, 3428.12, 11.51, "2m 34s"
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)
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builder.add_closed_trade(
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datetime.now(), "BTC/USDT", "SELL", 0.1, 45150.23, 45142.67, -0.76, "1m 12s"
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)
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return builder.build()
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385
web/template_renderer.py
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385
web/template_renderer.py
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"""
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Template Renderer for Dashboard
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Handles HTML template rendering with Jinja2
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"""
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import os
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from typing import Dict, Any
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from jinja2 import Environment, FileSystemLoader, select_autoescape
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import dash_html_components as html
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from dash import dcc
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import plotly.graph_objects as go
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from .dashboard_model import DashboardModel, DashboardDataBuilder
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class DashboardTemplateRenderer:
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"""Renders dashboard templates using Jinja2"""
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def __init__(self, template_dir: str = "web/templates"):
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"""Initialize the template renderer"""
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self.template_dir = template_dir
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# Create Jinja2 environment
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self.env = Environment(
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loader=FileSystemLoader(template_dir),
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autoescape=select_autoescape(['html', 'xml'])
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)
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# Add custom filters
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self.env.filters['currency'] = self._currency_filter
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self.env.filters['percentage'] = self._percentage_filter
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self.env.filters['number'] = self._number_filter
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def render_dashboard(self, model: DashboardModel) -> html.Div:
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"""Render the complete dashboard using the template"""
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try:
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# Convert model to dict for template
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template_data = self._model_to_dict(model)
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# Render template
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template = self.env.get_template('dashboard.html')
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rendered_html = template.render(**template_data)
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# Convert to Dash components
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return self._convert_to_dash_components(model)
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except Exception as e:
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# Fallback to basic layout if template fails
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return self._create_fallback_layout(str(e))
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def _model_to_dict(self, model: DashboardModel) -> Dict[str, Any]:
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"""Convert dashboard model to dictionary for template rendering"""
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return {
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'title': model.title,
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'subtitle': model.subtitle,
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'refresh_interval': model.refresh_interval,
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'metrics': [self._dataclass_to_dict(m) for m in model.metrics],
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'chart': self._dataclass_to_dict(model.chart),
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'trading_controls': self._dataclass_to_dict(model.trading_controls),
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'recent_decisions': [self._dataclass_to_dict(d) for d in model.recent_decisions],
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'cob_data': [self._dataclass_to_dict(c) for c in model.cob_data],
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'models': [self._dataclass_to_dict(m) for m in model.models],
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'training_metrics': [self._dataclass_to_dict(m) for m in model.training_metrics],
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'performance_stats': [self._dataclass_to_dict(s) for s in model.performance_stats],
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'closed_trades': [self._dataclass_to_dict(t) for t in model.closed_trades]
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}
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def _dataclass_to_dict(self, obj) -> Dict[str, Any]:
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"""Convert dataclass to dictionary"""
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if hasattr(obj, '__dict__'):
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result = {}
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for key, value in obj.__dict__.items():
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if hasattr(value, '__dict__'):
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result[key] = self._dataclass_to_dict(value)
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elif isinstance(value, list):
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result[key] = [self._dataclass_to_dict(item) if hasattr(item, '__dict__') else item for item in value]
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else:
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result[key] = value
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return result
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return obj
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def _convert_to_dash_components(self, model: DashboardModel) -> html.Div:
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"""Convert template model to Dash components"""
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return html.Div([
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# Header
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html.Div([
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html.H1(model.title, className="text-center"),
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html.P(model.subtitle, className="text-center text-muted")
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], className="row mb-3"),
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# Metrics Row
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html.Div([
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html.Div([
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self._create_metric_card(metric)
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], className="col-md-2") for metric in model.metrics
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], className="row mb-3"),
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# Main Content Row
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html.Div([
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# Price Chart
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html.Div([
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html.Div([
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html.Div([
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html.H5(model.chart.title)
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], className="card-header"),
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html.Div([
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dcc.Graph(id="price-chart", style={"height": "500px"})
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], className="card-body")
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], className="card")
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], className="col-md-8"),
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# Trading Controls & Recent Decisions
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html.Div([
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# Trading Controls
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self._create_trading_controls(model.trading_controls),
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# Recent Decisions
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self._create_recent_decisions(model.recent_decisions)
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], className="col-md-4")
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], className="row mb-3"),
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# COB Data and Models Row
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html.Div([
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# COB Ladders
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html.Div([
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html.Div([
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html.Div([
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self._create_cob_card(cob)
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], className="col-md-6") for cob in model.cob_data
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], className="row")
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], className="col-md-7"),
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# Models & Training
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html.Div([
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self._create_training_panel(model)
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], className="col-md-5")
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], className="row mb-3"),
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# Closed Trades Row
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html.Div([
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html.Div([
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self._create_closed_trades_table(model.closed_trades)
|
||||
], className="col-12")
|
||||
], className="row"),
|
||||
|
||||
# Auto-refresh interval
|
||||
dcc.Interval(id='interval-component', interval=model.refresh_interval, n_intervals=0)
|
||||
|
||||
], className="container-fluid")
|
||||
|
||||
def _create_metric_card(self, metric) -> html.Div:
|
||||
"""Create a metric card component"""
|
||||
return html.Div([
|
||||
html.Div(metric.value, className="metric-value", id=metric.id),
|
||||
html.Div(metric.label, className="metric-label")
|
||||
], className="metric-card")
|
||||
|
||||
def _create_trading_controls(self, controls) -> html.Div:
|
||||
"""Create trading controls component"""
|
||||
return html.Div([
|
||||
html.Div([
|
||||
html.H6("Manual Trading")
|
||||
], className="card-header"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Button(controls.buy_text, id="manual-buy-btn",
|
||||
className="btn btn-success w-100")
|
||||
], className="col-6"),
|
||||
html.Div([
|
||||
html.Button(controls.sell_text, id="manual-sell-btn",
|
||||
className="btn btn-danger w-100")
|
||||
], className="col-6")
|
||||
], className="row mb-2"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Label([
|
||||
f"Leverage: ",
|
||||
html.Span(f"{controls.leverage}x", id="leverage-display")
|
||||
], className="form-label"),
|
||||
dcc.Slider(
|
||||
id="leverage-slider",
|
||||
min=controls.leverage_min,
|
||||
max=controls.leverage_max,
|
||||
value=controls.leverage,
|
||||
step=1,
|
||||
marks={i: str(i) for i in range(controls.leverage_min, controls.leverage_max + 1, 10)}
|
||||
)
|
||||
], className="col-12")
|
||||
], className="row mb-2"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Button(controls.clear_text, id="clear-session-btn",
|
||||
className="btn btn-warning w-100")
|
||||
], className="col-12")
|
||||
], className="row")
|
||||
], className="card-body")
|
||||
], className="card mb-3")
|
||||
|
||||
def _create_recent_decisions(self, decisions) -> html.Div:
|
||||
"""Create recent decisions component"""
|
||||
decision_items = []
|
||||
for decision in decisions:
|
||||
border_class = {
|
||||
'BUY': 'border-success bg-success bg-opacity-10',
|
||||
'SELL': 'border-danger bg-danger bg-opacity-10'
|
||||
}.get(decision.action, 'border-secondary bg-secondary bg-opacity-10')
|
||||
|
||||
decision_items.append(
|
||||
html.Div([
|
||||
html.Small(decision.timestamp, className="text-muted"),
|
||||
html.Br(),
|
||||
html.Strong(f"{decision.action} - {decision.symbol}"),
|
||||
html.Br(),
|
||||
html.Small(f"Confidence: {decision.confidence}% | Price: ${decision.price}")
|
||||
], className=f"mb-2 p-2 border-start border-3 {border_class}")
|
||||
)
|
||||
|
||||
return html.Div([
|
||||
html.Div([
|
||||
html.H6("Recent AI Decisions")
|
||||
], className="card-header"),
|
||||
html.Div([
|
||||
html.Div(decision_items, id="recent-decisions")
|
||||
], className="card-body", style={"max-height": "300px", "overflow-y": "auto"})
|
||||
], className="card")
|
||||
|
||||
def _create_cob_card(self, cob) -> html.Div:
|
||||
"""Create COB ladder card"""
|
||||
return html.Div([
|
||||
html.Div([
|
||||
html.H6(f"{cob.symbol} Order Book"),
|
||||
html.Small(f"Total: {cob.total_usd} USD | {cob.total_crypto} {cob.symbol.split('/')[0]}",
|
||||
className="text-muted")
|
||||
], className="card-header"),
|
||||
html.Div([
|
||||
html.Div(id=cob.content_id, className="cob-ladder")
|
||||
], className="card-body p-2")
|
||||
], className="card")
|
||||
|
||||
def _create_training_panel(self, model: DashboardModel) -> html.Div:
|
||||
"""Create training panel component"""
|
||||
# Model status indicators
|
||||
model_status_items = []
|
||||
for model_item in model.models:
|
||||
status_class = f"status-{model_item.status}"
|
||||
model_status_items.append(
|
||||
html.Span(f"{model_item.name}: {model_item.status_text}",
|
||||
className=f"model-status {status_class}")
|
||||
)
|
||||
|
||||
# Training metrics
|
||||
training_items = []
|
||||
for metric in model.training_metrics:
|
||||
training_items.append(
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Small(f"{metric.name}:")
|
||||
], className="col-6"),
|
||||
html.Div([
|
||||
html.Small(metric.value, className="fw-bold")
|
||||
], className="col-6")
|
||||
], className="row mb-1")
|
||||
)
|
||||
|
||||
# Performance stats
|
||||
performance_items = []
|
||||
for stat in model.performance_stats:
|
||||
performance_items.append(
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Small(f"{stat.name}:")
|
||||
], className="col-8"),
|
||||
html.Div([
|
||||
html.Small(stat.value, className="fw-bold")
|
||||
], className="col-4")
|
||||
], className="row mb-1")
|
||||
)
|
||||
|
||||
return html.Div([
|
||||
html.Div([
|
||||
html.H6("Models & Training Progress")
|
||||
], className="card-header"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
# Model Status
|
||||
html.Div([
|
||||
html.H6("Model Status"),
|
||||
html.Div(model_status_items)
|
||||
], className="mb-3"),
|
||||
|
||||
# Training Metrics
|
||||
html.Div([
|
||||
html.H6("Training Metrics"),
|
||||
html.Div(training_items, id="training-metrics")
|
||||
], className="mb-3"),
|
||||
|
||||
# Performance Stats
|
||||
html.Div([
|
||||
html.H6("Performance"),
|
||||
html.Div(performance_items)
|
||||
], className="mb-3")
|
||||
])
|
||||
], className="card-body training-panel")
|
||||
], className="card")
|
||||
|
||||
def _create_closed_trades_table(self, trades) -> html.Div:
|
||||
"""Create closed trades table"""
|
||||
trade_rows = []
|
||||
for trade in trades:
|
||||
pnl_class = "trade-profit" if trade.pnl > 0 else "trade-loss"
|
||||
side_class = "bg-success" if trade.side == "BUY" else "bg-danger"
|
||||
|
||||
trade_rows.append(
|
||||
html.Tr([
|
||||
html.Td(trade.time),
|
||||
html.Td(trade.symbol),
|
||||
html.Td([
|
||||
html.Span(trade.side, className=f"badge {side_class}")
|
||||
]),
|
||||
html.Td(trade.size),
|
||||
html.Td(trade.entry_price),
|
||||
html.Td(trade.exit_price),
|
||||
html.Td(f"${trade.pnl}", className=pnl_class),
|
||||
html.Td(trade.duration)
|
||||
])
|
||||
)
|
||||
|
||||
return html.Div([
|
||||
html.Div([
|
||||
html.H6("Recent Closed Trades")
|
||||
], className="card-header"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Table([
|
||||
html.Thead([
|
||||
html.Tr([
|
||||
html.Th("Time"),
|
||||
html.Th("Symbol"),
|
||||
html.Th("Side"),
|
||||
html.Th("Size"),
|
||||
html.Th("Entry"),
|
||||
html.Th("Exit"),
|
||||
html.Th("PnL"),
|
||||
html.Th("Duration")
|
||||
])
|
||||
]),
|
||||
html.Tbody(trade_rows)
|
||||
], className="table table-sm", id="closed-trades-table")
|
||||
])
|
||||
], className="card-body closed-trades")
|
||||
], className="card")
|
||||
|
||||
def _create_fallback_layout(self, error_msg: str) -> html.Div:
|
||||
"""Create fallback layout if template rendering fails"""
|
||||
return html.Div([
|
||||
html.Div([
|
||||
html.H1("Dashboard Error", className="text-center text-danger"),
|
||||
html.P(f"Template rendering failed: {error_msg}", className="text-center"),
|
||||
html.P("Using fallback layout.", className="text-center text-muted")
|
||||
], className="container mt-5")
|
||||
])
|
||||
|
||||
# Jinja2 custom filters
|
||||
def _currency_filter(self, value) -> str:
|
||||
"""Format value as currency"""
|
||||
try:
|
||||
return f"${float(value):,.4f}"
|
||||
except (ValueError, TypeError):
|
||||
return str(value)
|
||||
|
||||
def _percentage_filter(self, value) -> str:
|
||||
"""Format value as percentage"""
|
||||
try:
|
||||
return f"{float(value):.2f}%"
|
||||
except (ValueError, TypeError):
|
||||
return str(value)
|
||||
|
||||
def _number_filter(self, value) -> str:
|
||||
"""Format value as number"""
|
||||
try:
|
||||
if isinstance(value, int):
|
||||
return f"{value:,}"
|
||||
else:
|
||||
return f"{float(value):,.2f}"
|
||||
except (ValueError, TypeError):
|
||||
return str(value)
|
||||
598
web/templated_dashboard.py
Normal file
598
web/templated_dashboard.py
Normal file
@ -0,0 +1,598 @@
|
||||
"""
|
||||
Template-based Trading Dashboard
|
||||
Uses MVC architecture with HTML templates and data models
|
||||
"""
|
||||
import logging
|
||||
from typing import Optional, Any, Dict, List
|
||||
from datetime import datetime
|
||||
import pandas as pd
|
||||
|
||||
import dash
|
||||
from dash import dcc, html, Input, Output, State, callback_context
|
||||
import plotly.graph_objects as go
|
||||
import plotly.express as px
|
||||
|
||||
from .dashboard_model import DashboardModel, DashboardDataBuilder, create_sample_dashboard_data
|
||||
from .template_renderer import DashboardTemplateRenderer
|
||||
from core.data_provider import DataProvider
|
||||
from core.orchestrator import TradingOrchestrator
|
||||
from core.trading_executor import TradingExecutor
|
||||
|
||||
# Configure logging
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class TemplatedTradingDashboard:
|
||||
"""Template-based trading dashboard with MVC architecture"""
|
||||
|
||||
def __init__(self, data_provider: Optional[DataProvider] = None,
|
||||
orchestrator: Optional[TradingOrchestrator] = None,
|
||||
trading_executor: Optional[TradingExecutor] = None):
|
||||
"""Initialize the templated dashboard"""
|
||||
self.data_provider = data_provider
|
||||
self.orchestrator = orchestrator
|
||||
self.trading_executor = trading_executor
|
||||
|
||||
# Initialize template renderer
|
||||
self.renderer = DashboardTemplateRenderer()
|
||||
|
||||
# Initialize Dash app
|
||||
self.app = dash.Dash(__name__, external_stylesheets=[
|
||||
'https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css'
|
||||
])
|
||||
|
||||
# Session data
|
||||
self.session_start_time = datetime.now()
|
||||
self.session_trades = []
|
||||
self.session_pnl = 0.0
|
||||
self.current_position = 0.0
|
||||
|
||||
# Setup layout and callbacks
|
||||
self._setup_layout()
|
||||
self._setup_callbacks()
|
||||
|
||||
logger.info("TEMPLATED DASHBOARD: Initialized with MVC architecture")
|
||||
|
||||
def _setup_layout(self):
|
||||
"""Setup the dashboard layout using templates"""
|
||||
# Create initial dashboard data
|
||||
dashboard_data = self._build_dashboard_data()
|
||||
|
||||
# Render layout using template
|
||||
layout = self.renderer.render_dashboard(dashboard_data)
|
||||
|
||||
# Add custom CSS
|
||||
layout.children.insert(0, self._get_custom_css())
|
||||
|
||||
self.app.layout = layout
|
||||
|
||||
def _get_custom_css(self) -> html.Style:
|
||||
"""Get custom CSS styles"""
|
||||
return html.Style(children="""
|
||||
.metric-card {
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
color: white;
|
||||
border-radius: 10px;
|
||||
padding: 15px;
|
||||
margin-bottom: 10px;
|
||||
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
.metric-value {
|
||||
font-size: 1.5rem;
|
||||
font-weight: bold;
|
||||
}
|
||||
.metric-label {
|
||||
font-size: 0.9rem;
|
||||
opacity: 0.9;
|
||||
}
|
||||
.cob-ladder {
|
||||
max-height: 400px;
|
||||
overflow-y: auto;
|
||||
font-family: 'Courier New', monospace;
|
||||
font-size: 0.85rem;
|
||||
}
|
||||
.bid-row {
|
||||
background-color: rgba(40, 167, 69, 0.1);
|
||||
border-left: 3px solid #28a745;
|
||||
}
|
||||
.ask-row {
|
||||
background-color: rgba(220, 53, 69, 0.1);
|
||||
border-left: 3px solid #dc3545;
|
||||
}
|
||||
.training-panel {
|
||||
background: #f8f9fa;
|
||||
border-radius: 8px;
|
||||
padding: 15px;
|
||||
height: 300px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
.model-status {
|
||||
padding: 8px 12px;
|
||||
border-radius: 20px;
|
||||
font-size: 0.8rem;
|
||||
font-weight: bold;
|
||||
margin: 2px;
|
||||
display: inline-block;
|
||||
}
|
||||
.status-training { background-color: #28a745; color: white; }
|
||||
.status-idle { background-color: #6c757d; color: white; }
|
||||
.status-loading { background-color: #ffc107; color: black; }
|
||||
.closed-trades {
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
.trade-profit { color: #28a745; font-weight: bold; }
|
||||
.trade-loss { color: #dc3545; font-weight: bold; }
|
||||
""")
|
||||
|
||||
def _setup_callbacks(self):
|
||||
"""Setup dashboard callbacks"""
|
||||
|
||||
@self.app.callback(
|
||||
[Output('current-price', 'children'),
|
||||
Output('session-pnl', 'children'),
|
||||
Output('current-position', 'children'),
|
||||
Output('trade-count', 'children'),
|
||||
Output('portfolio-value', 'children'),
|
||||
Output('mexc-status', 'children')],
|
||||
[Input('interval-component', 'n_intervals')]
|
||||
)
|
||||
def update_metrics(n):
|
||||
"""Update main metrics"""
|
||||
try:
|
||||
# Get current price
|
||||
current_price = self._get_current_price("ETH/USDT")
|
||||
|
||||
# Calculate portfolio value
|
||||
portfolio_value = 10000.0 + self.session_pnl # Base + PnL
|
||||
|
||||
# Get MEXC status
|
||||
mexc_status = "Connected" if self.trading_executor else "Disconnected"
|
||||
|
||||
return (
|
||||
f"${current_price:.4f}" if current_price else "N/A",
|
||||
f"${self.session_pnl:.2f}",
|
||||
f"{self.current_position:.4f}",
|
||||
str(len(self.session_trades)),
|
||||
f"${portfolio_value:.2f}",
|
||||
mexc_status
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating metrics: {e}")
|
||||
return "N/A", "N/A", "N/A", "N/A", "N/A", "Error"
|
||||
|
||||
@self.app.callback(
|
||||
Output('price-chart', 'figure'),
|
||||
[Input('interval-component', 'n_intervals')]
|
||||
)
|
||||
def update_price_chart(n):
|
||||
"""Update price chart"""
|
||||
try:
|
||||
return self._create_price_chart("ETH/USDT")
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating chart: {e}")
|
||||
return go.Figure()
|
||||
|
||||
@self.app.callback(
|
||||
Output('recent-decisions', 'children'),
|
||||
[Input('interval-component', 'n_intervals')]
|
||||
)
|
||||
def update_recent_decisions(n):
|
||||
"""Update recent AI decisions"""
|
||||
try:
|
||||
decisions = self._get_recent_decisions()
|
||||
return self._render_decisions(decisions)
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating decisions: {e}")
|
||||
return html.Div("No recent decisions")
|
||||
|
||||
@self.app.callback(
|
||||
[Output('eth-cob-content', 'children'),
|
||||
Output('btc-cob-content', 'children')],
|
||||
[Input('interval-component', 'n_intervals')]
|
||||
)
|
||||
def update_cob_data(n):
|
||||
"""Update COB data"""
|
||||
try:
|
||||
eth_cob = self._render_cob_ladder("ETH/USDT")
|
||||
btc_cob = self._render_cob_ladder("BTC/USDT")
|
||||
return eth_cob, btc_cob
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating COB: {e}")
|
||||
return html.Div("COB Error"), html.Div("COB Error")
|
||||
|
||||
@self.app.callback(
|
||||
Output('training-metrics', 'children'),
|
||||
[Input('interval-component', 'n_intervals')]
|
||||
)
|
||||
def update_training_metrics(n):
|
||||
"""Update training metrics"""
|
||||
try:
|
||||
return self._render_training_metrics()
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating training metrics: {e}")
|
||||
return html.Div("Training metrics unavailable")
|
||||
|
||||
@self.app.callback(
|
||||
Output('closed-trades-table', 'children'),
|
||||
[Input('interval-component', 'n_intervals')]
|
||||
)
|
||||
def update_closed_trades(n):
|
||||
"""Update closed trades table"""
|
||||
try:
|
||||
return self._render_closed_trades()
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating closed trades: {e}")
|
||||
return html.Div("No trades")
|
||||
|
||||
# Trading control callbacks
|
||||
@self.app.callback(
|
||||
Output('manual-buy-btn', 'children'),
|
||||
[Input('manual-buy-btn', 'n_clicks')],
|
||||
prevent_initial_call=True
|
||||
)
|
||||
def handle_manual_buy(n_clicks):
|
||||
"""Handle manual buy button"""
|
||||
if n_clicks:
|
||||
self._execute_manual_trade("BUY")
|
||||
return "BUY ✓"
|
||||
return "BUY"
|
||||
|
||||
@self.app.callback(
|
||||
Output('manual-sell-btn', 'children'),
|
||||
[Input('manual-sell-btn', 'n_clicks')],
|
||||
prevent_initial_call=True
|
||||
)
|
||||
def handle_manual_sell(n_clicks):
|
||||
"""Handle manual sell button"""
|
||||
if n_clicks:
|
||||
self._execute_manual_trade("SELL")
|
||||
return "SELL ✓"
|
||||
return "SELL"
|
||||
|
||||
@self.app.callback(
|
||||
Output('leverage-display', 'children'),
|
||||
[Input('leverage-slider', 'value')]
|
||||
)
|
||||
def update_leverage_display(leverage_value):
|
||||
"""Update leverage display"""
|
||||
return f"{leverage_value}x"
|
||||
|
||||
@self.app.callback(
|
||||
Output('clear-session-btn', 'children'),
|
||||
[Input('clear-session-btn', 'n_clicks')],
|
||||
prevent_initial_call=True
|
||||
)
|
||||
def handle_clear_session(n_clicks):
|
||||
"""Handle clear session button"""
|
||||
if n_clicks:
|
||||
self._clear_session()
|
||||
return "Cleared ✓"
|
||||
return "Clear Session"
|
||||
|
||||
def _build_dashboard_data(self) -> DashboardModel:
|
||||
"""Build dashboard data model from current state"""
|
||||
builder = DashboardDataBuilder()
|
||||
|
||||
# Basic info
|
||||
builder.set_basic_info(
|
||||
title="Live Scalping Dashboard (Templated)",
|
||||
subtitle="Template-based MVC Architecture",
|
||||
refresh_interval=1000
|
||||
)
|
||||
|
||||
# Get current metrics
|
||||
current_price = self._get_current_price("ETH/USDT")
|
||||
portfolio_value = 10000.0 + self.session_pnl
|
||||
mexc_status = "Connected" if self.trading_executor else "Disconnected"
|
||||
|
||||
# Add metrics
|
||||
builder.add_metric("current-price", "Current Price", current_price or 0, "currency")
|
||||
builder.add_metric("session-pnl", "Session PnL", self.session_pnl, "currency")
|
||||
builder.add_metric("current-position", "Position", self.current_position, "number")
|
||||
builder.add_metric("trade-count", "Trades", len(self.session_trades), "number")
|
||||
builder.add_metric("portfolio-value", "Portfolio", portfolio_value, "currency")
|
||||
builder.add_metric("mexc-status", "MEXC Status", mexc_status, "text")
|
||||
|
||||
# Trading controls
|
||||
builder.set_trading_controls(leverage=10, leverage_range=(1, 50))
|
||||
|
||||
# Recent decisions (sample data for now)
|
||||
builder.add_recent_decision(datetime.now(), "BUY", "ETH/USDT", 0.85, current_price or 3425.67)
|
||||
|
||||
# COB data (sample)
|
||||
builder.add_cob_data("ETH/USDT", "eth-cob-content", 25000.0, 7.3, [])
|
||||
builder.add_cob_data("BTC/USDT", "btc-cob-content", 35000.0, 0.88, [])
|
||||
|
||||
# Model statuses
|
||||
builder.add_model_status("DQN", True)
|
||||
builder.add_model_status("CNN", True)
|
||||
builder.add_model_status("Transformer", False)
|
||||
builder.add_model_status("COB-RL", True)
|
||||
|
||||
# Training metrics
|
||||
builder.add_training_metric("DQN Loss", 0.0234)
|
||||
builder.add_training_metric("CNN Accuracy", 0.876)
|
||||
builder.add_training_metric("Training Steps", 15420)
|
||||
|
||||
# Performance stats
|
||||
builder.add_performance_stat("Win Rate", 68.5)
|
||||
builder.add_performance_stat("Avg Trade", 8.34)
|
||||
builder.add_performance_stat("Sharpe Ratio", 1.82)
|
||||
|
||||
return builder.build()
|
||||
|
||||
def _get_current_price(self, symbol: str) -> Optional[float]:
|
||||
"""Get current price for symbol"""
|
||||
try:
|
||||
if self.data_provider:
|
||||
return self.data_provider.get_current_price(symbol)
|
||||
return 3425.67 # Sample price
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting price for {symbol}: {e}")
|
||||
return None
|
||||
|
||||
def _create_price_chart(self, symbol: str) -> go.Figure:
|
||||
"""Create price chart"""
|
||||
try:
|
||||
# Get price data
|
||||
df = self._get_chart_data(symbol)
|
||||
|
||||
if df is None or df.empty:
|
||||
return go.Figure().add_annotation(
|
||||
text="No data available",
|
||||
xref="paper", yref="paper",
|
||||
x=0.5, y=0.5, showarrow=False
|
||||
)
|
||||
|
||||
# Create candlestick chart
|
||||
fig = go.Figure(data=[go.Candlestick(
|
||||
x=df.index,
|
||||
open=df['open'],
|
||||
high=df['high'],
|
||||
low=df['low'],
|
||||
close=df['close'],
|
||||
name=symbol
|
||||
)])
|
||||
|
||||
fig.update_layout(
|
||||
title=f"{symbol} Price Chart",
|
||||
xaxis_title="Time",
|
||||
yaxis_title="Price (USDT)",
|
||||
height=500,
|
||||
showlegend=False
|
||||
)
|
||||
|
||||
return fig
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error creating chart for {symbol}: {e}")
|
||||
return go.Figure()
|
||||
|
||||
def _get_chart_data(self, symbol: str) -> Optional[pd.DataFrame]:
|
||||
"""Get chart data for symbol"""
|
||||
try:
|
||||
if self.data_provider:
|
||||
return self.data_provider.get_historical_data(symbol, "1m", 100)
|
||||
|
||||
# Sample data
|
||||
import numpy as np
|
||||
dates = pd.date_range(start='2024-01-01', periods=100, freq='1min')
|
||||
base_price = 3425.67
|
||||
|
||||
df = pd.DataFrame({
|
||||
'open': base_price + np.random.randn(100) * 10,
|
||||
'high': base_price + np.random.randn(100) * 15,
|
||||
'low': base_price + np.random.randn(100) * 15,
|
||||
'close': base_price + np.random.randn(100) * 10,
|
||||
'volume': np.random.randint(100, 1000, 100)
|
||||
}, index=dates)
|
||||
|
||||
return df
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting chart data: {e}")
|
||||
return None
|
||||
|
||||
def _get_recent_decisions(self) -> List[Dict]:
|
||||
"""Get recent AI decisions"""
|
||||
# Sample decisions for now
|
||||
return [
|
||||
{
|
||||
"timestamp": datetime.now().strftime("%H:%M:%S"),
|
||||
"action": "BUY",
|
||||
"symbol": "ETH/USDT",
|
||||
"confidence": 85.3,
|
||||
"price": 3425.67
|
||||
},
|
||||
{
|
||||
"timestamp": datetime.now().strftime("%H:%M:%S"),
|
||||
"action": "HOLD",
|
||||
"symbol": "BTC/USDT",
|
||||
"confidence": 62.1,
|
||||
"price": 45123.45
|
||||
}
|
||||
]
|
||||
|
||||
def _render_decisions(self, decisions: List[Dict]) -> List[html.Div]:
|
||||
"""Render recent decisions"""
|
||||
items = []
|
||||
for decision in decisions:
|
||||
border_class = {
|
||||
'BUY': 'border-success bg-success bg-opacity-10',
|
||||
'SELL': 'border-danger bg-danger bg-opacity-10'
|
||||
}.get(decision['action'], 'border-secondary bg-secondary bg-opacity-10')
|
||||
|
||||
items.append(
|
||||
html.Div([
|
||||
html.Small(decision['timestamp'], className="text-muted"),
|
||||
html.Br(),
|
||||
html.Strong(f"{decision['action']} - {decision['symbol']}"),
|
||||
html.Br(),
|
||||
html.Small(f"Confidence: {decision['confidence']}% | Price: ${decision['price']}")
|
||||
], className=f"mb-2 p-2 border-start border-3 {border_class}")
|
||||
)
|
||||
|
||||
return items
|
||||
|
||||
def _render_cob_ladder(self, symbol: str) -> html.Div:
|
||||
"""Render COB ladder for symbol"""
|
||||
# Sample COB data
|
||||
return html.Table([
|
||||
html.Thead([
|
||||
html.Tr([
|
||||
html.Th("Size"),
|
||||
html.Th("Price"),
|
||||
html.Th("Total")
|
||||
])
|
||||
]),
|
||||
html.Tbody([
|
||||
html.Tr([
|
||||
html.Td("1.5"),
|
||||
html.Td("$3426.12"),
|
||||
html.Td("$5139.18")
|
||||
], className="ask-row"),
|
||||
html.Tr([
|
||||
html.Td("2.3"),
|
||||
html.Td("$3425.89"),
|
||||
html.Td("$7879.55")
|
||||
], className="ask-row"),
|
||||
html.Tr([
|
||||
html.Td("1.8"),
|
||||
html.Td("$3425.45"),
|
||||
html.Td("$6165.81")
|
||||
], className="bid-row"),
|
||||
html.Tr([
|
||||
html.Td("3.2"),
|
||||
html.Td("$3425.12"),
|
||||
html.Td("$10960.38")
|
||||
], className="bid-row")
|
||||
])
|
||||
], className="table table-sm table-borderless")
|
||||
|
||||
def _render_training_metrics(self) -> html.Div:
|
||||
"""Render training metrics"""
|
||||
return html.Div([
|
||||
# Model Status
|
||||
html.Div([
|
||||
html.H6("Model Status"),
|
||||
html.Div([
|
||||
html.Span("DQN: Training", className="model-status status-training"),
|
||||
html.Span("CNN: Training", className="model-status status-training"),
|
||||
html.Span("Transformer: Idle", className="model-status status-idle"),
|
||||
html.Span("COB-RL: Training", className="model-status status-training")
|
||||
])
|
||||
], className="mb-3"),
|
||||
|
||||
# Training Metrics
|
||||
html.Div([
|
||||
html.H6("Training Metrics"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Div([html.Small("DQN Loss:")], className="col-6"),
|
||||
html.Div([html.Small("0.0234", className="fw-bold")], className="col-6")
|
||||
], className="row mb-1"),
|
||||
html.Div([
|
||||
html.Div([html.Small("CNN Accuracy:")], className="col-6"),
|
||||
html.Div([html.Small("87.6%", className="fw-bold")], className="col-6")
|
||||
], className="row mb-1"),
|
||||
html.Div([
|
||||
html.Div([html.Small("Training Steps:")], className="col-6"),
|
||||
html.Div([html.Small("15,420", className="fw-bold")], className="col-6")
|
||||
], className="row mb-1")
|
||||
])
|
||||
], className="mb-3"),
|
||||
|
||||
# Performance Stats
|
||||
html.Div([
|
||||
html.H6("Performance"),
|
||||
html.Div([
|
||||
html.Div([
|
||||
html.Div([html.Small("Win Rate:")], className="col-8"),
|
||||
html.Div([html.Small("68.5%", className="fw-bold")], className="col-4")
|
||||
], className="row mb-1"),
|
||||
html.Div([
|
||||
html.Div([html.Small("Avg Trade:")], className="col-8"),
|
||||
html.Div([html.Small("$8.34", className="fw-bold")], className="col-4")
|
||||
], className="row mb-1"),
|
||||
html.Div([
|
||||
html.Div([html.Small("Sharpe Ratio:")], className="col-8"),
|
||||
html.Div([html.Small("1.82", className="fw-bold")], className="col-4")
|
||||
], className="row mb-1")
|
||||
])
|
||||
])
|
||||
])
|
||||
|
||||
def _render_closed_trades(self) -> html.Table:
|
||||
"""Render closed trades table"""
|
||||
return html.Table([
|
||||
html.Thead([
|
||||
html.Tr([
|
||||
html.Th("Time"),
|
||||
html.Th("Symbol"),
|
||||
html.Th("Side"),
|
||||
html.Th("Size"),
|
||||
html.Th("Entry"),
|
||||
html.Th("Exit"),
|
||||
html.Th("PnL"),
|
||||
html.Th("Duration")
|
||||
])
|
||||
]),
|
||||
html.Tbody([
|
||||
html.Tr([
|
||||
html.Td("14:23:45"),
|
||||
html.Td("ETH/USDT"),
|
||||
html.Td([html.Span("BUY", className="badge bg-success")]),
|
||||
html.Td("1.5"),
|
||||
html.Td("$3420.45"),
|
||||
html.Td("$3428.12"),
|
||||
html.Td("$11.51", className="trade-profit"),
|
||||
html.Td("2m 34s")
|
||||
]),
|
||||
html.Tr([
|
||||
html.Td("14:21:12"),
|
||||
html.Td("BTC/USDT"),
|
||||
html.Td([html.Span("SELL", className="badge bg-danger")]),
|
||||
html.Td("0.1"),
|
||||
html.Td("$45150.23"),
|
||||
html.Td("$45142.67"),
|
||||
html.Td("-$0.76", className="trade-loss"),
|
||||
html.Td("1m 12s")
|
||||
])
|
||||
])
|
||||
], className="table table-sm")
|
||||
|
||||
def _execute_manual_trade(self, action: str):
|
||||
"""Execute manual trade"""
|
||||
try:
|
||||
logger.info(f"MANUAL TRADE: {action} executed")
|
||||
# Add to session trades
|
||||
trade = {
|
||||
"time": datetime.now(),
|
||||
"action": action,
|
||||
"symbol": "ETH/USDT",
|
||||
"price": self._get_current_price("ETH/USDT") or 3425.67
|
||||
}
|
||||
self.session_trades.append(trade)
|
||||
except Exception as e:
|
||||
logger.error(f"Error executing manual trade: {e}")
|
||||
|
||||
def _clear_session(self):
|
||||
"""Clear session data"""
|
||||
self.session_trades = []
|
||||
self.session_pnl = 0.0
|
||||
self.current_position = 0.0
|
||||
self.session_start_time = datetime.now()
|
||||
logger.info("SESSION: Cleared")
|
||||
|
||||
def run_server(self, host='127.0.0.1', port=8051, debug=False):
|
||||
"""Run the dashboard server"""
|
||||
logger.info(f"TEMPLATED DASHBOARD: Starting at http://{host}:{port}")
|
||||
self.app.run_server(host=host, port=port, debug=debug)
|
||||
|
||||
|
||||
def create_templated_dashboard(data_provider: Optional[DataProvider] = None,
|
||||
orchestrator: Optional[TradingOrchestrator] = None,
|
||||
trading_executor: Optional[TradingExecutor] = None) -> TemplatedTradingDashboard:
|
||||
"""Create templated trading dashboard"""
|
||||
return TemplatedTradingDashboard(data_provider, orchestrator, trading_executor)
|
||||
313
web/templates/dashboard.html
Normal file
313
web/templates/dashboard.html
Normal file
@ -0,0 +1,313 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>{{ title }}</title>
|
||||
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/css/bootstrap.min.css" rel="stylesheet">
|
||||
<style>
|
||||
.metric-card {
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
color: white;
|
||||
border-radius: 10px;
|
||||
padding: 15px;
|
||||
margin-bottom: 10px;
|
||||
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
.metric-value {
|
||||
font-size: 1.5rem;
|
||||
font-weight: bold;
|
||||
}
|
||||
.metric-label {
|
||||
font-size: 0.9rem;
|
||||
opacity: 0.9;
|
||||
}
|
||||
.cob-ladder {
|
||||
max-height: 400px;
|
||||
overflow-y: auto;
|
||||
font-family: 'Courier New', monospace;
|
||||
font-size: 0.85rem;
|
||||
}
|
||||
.bid-row {
|
||||
background-color: rgba(40, 167, 69, 0.1);
|
||||
border-left: 3px solid #28a745;
|
||||
}
|
||||
.ask-row {
|
||||
background-color: rgba(220, 53, 69, 0.1);
|
||||
border-left: 3px solid #dc3545;
|
||||
}
|
||||
.training-panel {
|
||||
background: #f8f9fa;
|
||||
border-radius: 8px;
|
||||
padding: 15px;
|
||||
height: 300px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
.model-status {
|
||||
padding: 8px 12px;
|
||||
border-radius: 20px;
|
||||
font-size: 0.8rem;
|
||||
font-weight: bold;
|
||||
margin: 2px;
|
||||
display: inline-block;
|
||||
}
|
||||
.status-training { background-color: #28a745; color: white; }
|
||||
.status-idle { background-color: #6c757d; color: white; }
|
||||
.status-loading { background-color: #ffc107; color: black; }
|
||||
.closed-trades {
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
.trade-profit { color: #28a745; font-weight: bold; }
|
||||
.trade-loss { color: #dc3545; font-weight: bold; }
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container-fluid">
|
||||
<!-- Header -->
|
||||
<div class="row mb-3">
|
||||
<div class="col-12">
|
||||
<h1 class="text-center">{{ title }}</h1>
|
||||
<p class="text-center text-muted">{{ subtitle }}</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Metrics Row -->
|
||||
<div class="row mb-3">
|
||||
{% for metric in metrics %}
|
||||
<div class="col-md-2">
|
||||
<div class="metric-card">
|
||||
<div class="metric-value" id="{{ metric.id }}">{{ metric.value }}</div>
|
||||
<div class="metric-label">{{ metric.label }}</div>
|
||||
</div>
|
||||
</div>
|
||||
{% endfor %}
|
||||
</div>
|
||||
|
||||
<!-- Main Content Row -->
|
||||
<div class="row mb-3">
|
||||
<!-- Price Chart (Left) -->
|
||||
<div class="col-md-8">
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h5>{{ chart.title }}</h5>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<div id="price-chart" style="height: 500px;"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Trading Controls & Recent Decisions (Right) -->
|
||||
<div class="col-md-4">
|
||||
<!-- Trading Controls -->
|
||||
<div class="card mb-3">
|
||||
<div class="card-header">
|
||||
<h6>Manual Trading</h6>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<div class="row mb-2">
|
||||
<div class="col-6">
|
||||
<button id="manual-buy-btn" class="btn btn-success w-100">
|
||||
{{ trading_controls.buy_text }}
|
||||
</button>
|
||||
</div>
|
||||
<div class="col-6">
|
||||
<button id="manual-sell-btn" class="btn btn-danger w-100">
|
||||
{{ trading_controls.sell_text }}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="row mb-2">
|
||||
<div class="col-12">
|
||||
<label for="leverage-slider" class="form-label">
|
||||
Leverage: <span id="leverage-display">{{ trading_controls.leverage }}</span>x
|
||||
</label>
|
||||
<input type="range" class="form-range" id="leverage-slider"
|
||||
min="{{ trading_controls.leverage_min }}"
|
||||
max="{{ trading_controls.leverage_max }}"
|
||||
value="{{ trading_controls.leverage }}" step="1">
|
||||
</div>
|
||||
</div>
|
||||
<div class="row">
|
||||
<div class="col-12">
|
||||
<button id="clear-session-btn" class="btn btn-warning w-100">
|
||||
{{ trading_controls.clear_text }}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Recent Decisions -->
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h6>Recent AI Decisions</h6>
|
||||
</div>
|
||||
<div class="card-body" style="max-height: 300px; overflow-y: auto;">
|
||||
<div id="recent-decisions">
|
||||
{% for decision in recent_decisions %}
|
||||
<div class="mb-2 p-2 border-start border-3
|
||||
{% if decision.action == 'BUY' %}border-success bg-success bg-opacity-10
|
||||
{% elif decision.action == 'SELL' %}border-danger bg-danger bg-opacity-10
|
||||
{% else %}border-secondary bg-secondary bg-opacity-10{% endif %}">
|
||||
<small class="text-muted">{{ decision.timestamp }}</small><br>
|
||||
<strong>{{ decision.action }}</strong> - {{ decision.symbol }}<br>
|
||||
<small>Confidence: {{ decision.confidence }}% | Price: ${{ decision.price }}</small>
|
||||
</div>
|
||||
{% endfor %}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- COB Data and Models Row -->
|
||||
<div class="row mb-3">
|
||||
<!-- COB Ladders (Left 60%) -->
|
||||
<div class="col-md-7">
|
||||
<div class="row">
|
||||
{% for cob in cob_data %}
|
||||
<div class="col-md-6">
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h6>{{ cob.symbol }} Order Book</h6>
|
||||
<small class="text-muted">Total: {{ cob.total_usd }} USD | {{ cob.total_crypto }} {{ cob.symbol.split('/')[0] }}</small>
|
||||
</div>
|
||||
<div class="card-body p-2">
|
||||
<div id="{{ cob.content_id }}" class="cob-ladder">
|
||||
<table class="table table-sm table-borderless">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Size</th>
|
||||
<th>Price</th>
|
||||
<th>Total</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{% for level in cob.levels %}
|
||||
<tr class="{% if level.side == 'ask' %}ask-row{% else %}bid-row{% endif %}">
|
||||
<td>{{ level.size }}</td>
|
||||
<td>{{ level.price }}</td>
|
||||
<td>{{ level.total }}</td>
|
||||
</tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{% endfor %}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Models & Training Progress (Right 40%) -->
|
||||
<div class="col-md-5">
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h6>Models & Training Progress</h6>
|
||||
</div>
|
||||
<div class="card-body training-panel">
|
||||
<div id="training-metrics">
|
||||
<!-- Model Status Indicators -->
|
||||
<div class="mb-3">
|
||||
<h6>Model Status</h6>
|
||||
{% for model in models %}
|
||||
<span class="model-status status-{{ model.status }}">
|
||||
{{ model.name }}: {{ model.status_text }}
|
||||
</span>
|
||||
{% endfor %}
|
||||
</div>
|
||||
|
||||
<!-- Training Metrics -->
|
||||
<div class="mb-3">
|
||||
<h6>Training Metrics</h6>
|
||||
{% for metric in training_metrics %}
|
||||
<div class="row mb-1">
|
||||
<div class="col-6">
|
||||
<small>{{ metric.name }}:</small>
|
||||
</div>
|
||||
<div class="col-6">
|
||||
<small class="fw-bold">{{ metric.value }}</small>
|
||||
</div>
|
||||
</div>
|
||||
{% endfor %}
|
||||
</div>
|
||||
|
||||
<!-- Performance Stats -->
|
||||
<div class="mb-3">
|
||||
<h6>Performance</h6>
|
||||
{% for stat in performance_stats %}
|
||||
<div class="row mb-1">
|
||||
<div class="col-8">
|
||||
<small>{{ stat.name }}:</small>
|
||||
</div>
|
||||
<div class="col-4">
|
||||
<small class="fw-bold">{{ stat.value }}</small>
|
||||
</div>
|
||||
</div>
|
||||
{% endfor %}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Closed Trades Row -->
|
||||
<div class="row">
|
||||
<div class="col-12">
|
||||
<div class="card">
|
||||
<div class="card-header">
|
||||
<h6>Recent Closed Trades</h6>
|
||||
</div>
|
||||
<div class="card-body closed-trades">
|
||||
<div id="closed-trades-table">
|
||||
<table class="table table-sm">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>Time</th>
|
||||
<th>Symbol</th>
|
||||
<th>Side</th>
|
||||
<th>Size</th>
|
||||
<th>Entry</th>
|
||||
<th>Exit</th>
|
||||
<th>PnL</th>
|
||||
<th>Duration</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{% for trade in closed_trades %}
|
||||
<tr>
|
||||
<td>{{ trade.time }}</td>
|
||||
<td>{{ trade.symbol }}</td>
|
||||
<td>
|
||||
<span class="badge {% if trade.side == 'BUY' %}bg-success{% else %}bg-danger{% endif %}">
|
||||
{{ trade.side }}
|
||||
</span>
|
||||
</td>
|
||||
<td>{{ trade.size }}</td>
|
||||
<td>${{ trade.entry_price }}</td>
|
||||
<td>${{ trade.exit_price }}</td>
|
||||
<td class="{% if trade.pnl > 0 %}trade-profit{% else %}trade-loss{% endif %}">
|
||||
${{ trade.pnl }}
|
||||
</td>
|
||||
<td>{{ trade.duration }}</td>
|
||||
</tr>
|
||||
{% endfor %}
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Auto-refresh interval -->
|
||||
<div id="interval-component" style="display: none;" data-interval="{{ refresh_interval }}"></div>
|
||||
|
||||
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.1.3/dist/js/bootstrap.bundle.min.js"></script>
|
||||
</body>
|
||||
</html>
|
||||
Reference in New Issue
Block a user