Add initial plotting test

This commit is contained in:
Matthias 2019-06-10 20:17:23 +02:00
parent cae2185460
commit 2891d7cccb
3 changed files with 54 additions and 4 deletions

View File

@ -91,7 +91,7 @@ def generate_graph(
trades: pd.DataFrame = None,
indicators1: List[str] = [],
indicators2: List[str] = [],
) -> tools.make_subplots:
) -> go.Figure:
"""
Generate the graph from the data generated by Backtesting or from DB
Volume will always be ploted in row2, so Row 1 and are to our disposal for custom indicators

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@ -0,0 +1,52 @@
from unittest.mock import MagicMock
import plotly.graph_objs as go
from freqtrade.arguments import Arguments, TimeRange
from freqtrade.data import history
from freqtrade.plot.plotting import (generate_graph, generate_plot_file,
generate_row, plot_trades)
def fig_generating_mock(fig, *args, **kwargs):
""" Return Fig - used to mock generate_row and plot_trades"""
return fig
def test_generate_row():
# TODO: implement me
pass
def test_plot_trades():
# TODO: implement me
pass
def test_generate_graph(default_conf, mocker):
row_mock = mocker.patch('freqtrade.plot.plotting.generate_row',
MagicMock(side_effect=fig_generating_mock))
trades_mock = mocker.patch('freqtrade.plot.plotting.plot_trades',
MagicMock(side_effect=fig_generating_mock))
timerange = TimeRange(None, 'line', 0, -100)
data = history.load_pair_history(pair='UNITTEST/BTC', ticker_interval='1m',
datadir=None, timerange=timerange)
indicators1 = []
indicators2 = []
fig = generate_graph(pair="UNITTEST/BTC", data=data, trades=None,
indicators1=indicators1, indicators2=indicators2)
assert isinstance(fig, go.Figure)
assert fig.layout.title.text == "UNITTEST/BTC"
figure = fig.layout.figure
# Candlesticks are plotted first
assert isinstance(figure.data[0], go.Candlestick)
assert figure.data[0].name == "Price"
assert isinstance(figure.data[1], go.Bar)
assert figure.data[1].name == "Volume"
assert row_mock.call_count == 2
assert trades_mock.call_count == 1

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@ -32,7 +32,6 @@ from typing import Any, Dict, List
import pandas as pd
import pytz
from plotly.offline import plot
from freqtrade import persistence
from freqtrade.arguments import Arguments, TimeRange
@ -87,7 +86,6 @@ def load_trades(db_url: str = None, exportfilename: str = None) -> pd.DataFrame:
return trades
def get_trading_env(args: Namespace):
"""
Initalize freqtrade Exchange and Strategy, split pairs recieved in parameter
@ -132,7 +130,7 @@ def get_tickers_data(strategy, exchange, pairs: List[str], timerange: TimeRange,
refresh_pairs=_CONF.get('refresh_pairs', False),
timerange=timerange,
exchange=Exchange(_CONF),
live=args.live,
live=live,
)
# No ticker found, impossible to download, len mismatch