mirror of
https://github.com/aljazceru/hummingbot-dashboard.git
synced 2025-12-20 06:54:21 +01:00
84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
import os.path
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import pandas as pd
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from pathlib import Path
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import inspect
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import streamlit as st
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from st_pages import add_page_title
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def initialize_st_page(title: str, icon: str, layout="wide", initial_sidebar_state="expanded"):
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st.set_page_config(
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page_title=title,
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page_icon=icon,
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layout=layout,
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initial_sidebar_state=initial_sidebar_state
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)
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caller_frame = inspect.currentframe().f_back
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add_page_title(layout=layout, initial_sidebar_state=initial_sidebar_state)
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current_directory = Path(os.path.dirname(inspect.getframeinfo(caller_frame).filename))
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readme_path = current_directory / "README.md"
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with st.expander("About This Page"):
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st.write(readme_path.read_text())
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def download_csv_button(df: pd.DataFrame, filename: str, key: str):
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csv = df.to_csv(index=False).encode('utf-8')
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return st.download_button(
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label="Download CSV",
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data=csv,
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file_name=f"{filename}.csv",
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mime="text/csv",
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key=key
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)
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def style_metric_cards(
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background_color: str = "rgba(255, 255, 255, 0)",
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border_size_px: int = 1,
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border_color: str = "rgba(255, 255, 255, 0.3)",
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border_radius_px: int = 5,
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border_left_color: str = "rgba(255, 255, 255, 0.5)",
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box_shadow: bool = True,
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):
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box_shadow_str = (
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"box-shadow: 0 0.15rem 1.75rem 0 rgba(58, 59, 69, 0.15) !important;"
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if box_shadow
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else "box-shadow: none !important;"
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)
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st.markdown(
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f"""
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<style>
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div[data-testid="metric-container"] {{
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background-color: {background_color};
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border: {border_size_px}px solid {border_color};
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padding: 5% 5% 5% 10%;
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border-radius: {border_radius_px}px;
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border-left: 0.5rem solid {border_left_color} !important;
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{box_shadow_str}
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}}
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</style>
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""",
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unsafe_allow_html=True,
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)
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def get_backend_api_client():
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from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT
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from backend.services.backend_api_client import BackendAPIClient
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backend_api_client = BackendAPIClient.get_instance(host=BACKEND_API_HOST, port=BACKEND_API_PORT)
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is_docker_running = False
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try:
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is_docker_running = backend_api_client.is_docker_running()
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except Exception as e:
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st.error(f"There was an error trying to connect to the Backend API: \n\n{str(e)} \n\nPlease make sure the Backend API is running.")
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st.stop()
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if not is_docker_running:
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st.error("Docker is not running. Please make sure Docker is running.")
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st.stop()
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return backend_api_client
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