lightweight-charts-server 0.2.4

lightweight-chart custom python server

lightweight-charts-server

lightweight-charts-python based chart hosting library

Installation

pip install --upgrade lightweight-charts-server

Examples

Examples of usage are in examples/

Get examples through git clone

git clone https://github.com/vegaxholdings/lightweight-charts-server.git

cd lightweight-charts-server

pip install -r requirements.txt

Run Examples

1. python -m examples.1_setting_data.setting_data
2. python -m examples.2_live_data.live_data
3. python -m examples.3_tick_data.tick_data
4. python -m examples.4_line_indicators.line_indicators
5. python -m examples.5_styling.styling

Advanced

There are two types of Display: View and Stream.

View can receive values ​​through HTML Form and reflect them on the chart.

Stream can receive values ​​from outside and update the chart in real time.

View

graph LR
	wb("Web Form")
	subgraph Server
		dy("HTML")
		ftype
		subgraph display
			view
		end
		subgraph lightweight-charts code
			create("create(a,b,c) -> Chart")
		end
	end
	wb --> ftype --> create
	create --> view
	view --> dy
	
	dy --> Web

This code demonstrates how to interact with a Form through ftype.

from datetime import timedelta

from lightweight_charts import Chart
from lightweight_charts_server import ftype, View, Server

intervals = ftype.options("1m", "15m")

def create(
    option: intervals = intervals("15m"),
    color: ftype.Color = ftype.Color("#1B2E00"),
    boolean: ftype.Bool = ftype.Bool(False),
    num_int: ftype.Int = ftype.Int(14),  
    num_float: ftype.Int = ftype.Float(3.14),  
    string: ftype.Str = ftype.Str("apple"),  
    time: ftype.DateTime = ftype.DateTime.now() - timedelta(days=10),  
    df: ftype.DataFrame = ftype.DataFrame({"a": [], "b": [], "c": []}),
    config: ftype.JSON = ftype.JSON([1, 2, 3]),
) -> Chart:

    option.selected # -> str
    color.hex # -> str
    boolean.value # -> bool

    num_int # -> int
    num_float # -> float
    string # -> str
    time # -> datetime

    df # -> DataFrame
    config.obj # -> list or dict

    ...

    return chart

display = View(callback=create)
server = Server(display)

if __name__ == "__main__":
    server.serve()

Stream

graph LR
	subgraph Server
		subgraph display
			stream
		end
		subgraph lightweight-charts code
			update("update(chart)")
			Chart
		end
	end
	subgraph External
		Upbit
	end
		Chart --> stream
	update --> stream
	stream <--->|websocket| Web
	External --> update

This code streams prices in real time through the upbit exchange.

import time
from datetime import date, datetime, timedelta

import pyupbit
import pandas as pd
from lightweight_charts import Chart
from lightweight_charts_server import Stream, Server

TICKER = "KRW-XRP"

init_df = pyupbit.get_ohlcv(ticker=TICKER, interval="minute")


def update(chart: Chart):
    while True:
        update_df = pyupbit.get_ohlcv(ticker=TICKER, count=1, interval="minute")
        tick = pd.Series(
            {
                "time": date.today().isoformat(), 
                "price": update_df.iloc[0]["close"],
            }
        )
        chart.update_from_tick(tick)
        time.sleep(0.1)


chart = Chart(toolbox=True)
chart.set(init_df)

display = Stream(chart, callback=update)
server = Server(display)

if __name__ == "__main__":
    server.serve()