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Create core/dashboard.py
Browse files- core/dashboard.py +40 -0
core/dashboard.py
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import time
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import pandas as pd
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import gradio as gr
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from datetime import datetime
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class ErohaDashboard:
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def __init__(self):
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self.logs = []
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self.start_time = time.time()
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def log_request(self, model_name, query_type, response_time):
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self.logs.append({
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"time": datetime.now().strftime("%H:%M:%S"),
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"model": model_name,
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"type": query_type,
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"response_time": response_time
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})
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# храним только последние 20 записей
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if len(self.logs) > 20:
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self.logs = self.logs[-20:]
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def get_metrics(self):
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if not self.logs:
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return "—", "—", "—"
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avg_time = round(sum(l["response_time"] for l in self.logs) / len(self.logs), 2)
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last_model = self.logs[-1]["model"]
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total_requests = len(self.logs)
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return last_model, total_requests, avg_time
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def dashboard_ui(self):
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df = pd.DataFrame(self.logs) if self.logs else pd.DataFrame([{
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"time": "—", "model": "—", "type": "—", "response_time": "—"
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}])
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last_model, total_requests, avg_time = self.get_metrics()
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return (
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f"🧠 **Активная модель:** {last_model}\n"
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f"📊 **Запросов обработано:** {total_requests}\n"
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f"⚡ **Среднее время ответа:** {avg_time} сек.",
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df
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)
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