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Add test for market_change endpoint
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@@ -2249,6 +2249,42 @@ def test_api_patch_backtest_history_entry(botclient, tmp_path: Path):
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assert fileres[CURRENT_TEST_STRATEGY]['notes'] == 'FooBar'
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def test_api_patch_backtest_market_change(botclient, tmp_path: Path):
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ftbot, client = botclient
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# Create a temporary directory and file
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bt_results_base = tmp_path / "backtest_results"
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bt_results_base.mkdir()
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file_path = bt_results_base / "test_22_market_change.feather"
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df = pd.DataFrame({
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'date': ['2018-01-01T00:00:00Z', '2018-01-01T00:05:00Z'],
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'count': [2, 4],
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'mean': [2555, 2556],
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'rel_mean': [0, 0.022],
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})
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df['date'] = pd.to_datetime(df['date'])
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df.to_feather(file_path, compression_level=9, compression='lz4')
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# Nonexisting file
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rc = client_get(client, f"{BASE_URI}/backtest/history/randomFile.json/market_change")
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assert_response(rc, 503)
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ftbot.config['user_data_dir'] = tmp_path
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ftbot.config['runmode'] = RunMode.WEBSERVER
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rc = client_get(client, f"{BASE_URI}/backtest/history/randomFile.json/market_change")
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assert_response(rc, 404)
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rc = client_get(client, f"{BASE_URI}/backtest/history/test_22/market_change")
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assert_response(rc, 200)
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result = rc.json()
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assert result['length'] == 2
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assert result['columns'] == ['date', 'count', 'mean', 'rel_mean', '__date_ts']
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assert result['data'] == [
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['2018-01-01T00:00:00Z', 2, 2555, 0.0, 1514764800000],
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['2018-01-01T00:05:00Z', 4, 2556, 0.022, 1514765100000]
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]
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def test_health(botclient):
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_ftbot, client = botclient
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