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Description
Describe the bug
When testing a PR and compare with the latest deploy version, found this error when setting up a market on kucoin and binance
# dashboard logs
2024-06-26 12:36:04.033 Uncaught app exception
Traceback (most recent call last):
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 584, in _run_script
exec(code, module.__dict__)
File "/home/dashboard/frontend/pages/config/pmm_dynamic/app.py", line 40, in <module>
candles = get_candles(connector_name=inputs["candles_connector"], trading_pair=inputs["candles_trading_pair"], interval=inputs["interval"], days=days_to_visualize)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/streamlit/runtime/caching/cache_utils.py", line 168, in wrapper
return cached_func(*args, **kwargs)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/streamlit/runtime/caching/cache_utils.py", line 197, in __call__
return self._get_or_create_cached_value(args, kwargs)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/streamlit/runtime/caching/cache_utils.py", line 224, in _get_or_create_cached_value
return self._handle_cache_miss(cache, value_key, func_args, func_kwargs)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/streamlit/runtime/caching/cache_utils.py", line 280, in _handle_cache_miss
computed_value = self._info.func(*func_args, **func_kwargs)
File "/home/dashboard/frontend/pages/config/utils.py", line 23, in get_candles
df = pd.DataFrame(backend_client.get_historical_candles(connector_name, trading_pair, interval,
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/pandas/core/frame.py", line 778, in __init__
mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
index = _extract_index(arrays)
File "/opt/conda/envs/dashboard/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 667, in _extract_index
raise ValueError("If using all scalar values, you must pass an index")
ValueError: If using all scalar values, you must pass an index
# backend logs
INFO: 192.168.0.3:33054 - "GET /is-docker-running HTTP/1.1" 200 OK
INFO: 192.168.0.3:33056 - "GET /all-controller-configs HTTP/1.1" 200 OK
2024-06-26 12:36:04,025 - asyncio - ERROR - Unclosed client session
client_session: <aiohttp.client.ClientSession object at 0xffff7c352590>
2024-06-26 12:36:04,026 - asyncio - ERROR - Unclosed connector
connections: ['[(<aiohttp.client_proto.ResponseHandler object at 0xffff7c358760>, 6730.242969143)]']
connector: <aiohttp.connector.TCPConnector object at 0xffff7c353d90>
INFO: 192.168.0.3:33062 - "POST /historical-candles HTTP/1.1" 200 OK
Check traceback seems to be pointing to historical candles. Tried to check if we can reproduce using data and MACD_BB V1
Steps to reproduce bug
- Clone latest deploy version then setup
bash setup.sh - Go to Dashboard page
- Go to Config Generator then PMM Dynamic (on this test we used kucoin XCAD-USDT, binance FIRO-USDT) then observe error on setup
- Go to data then download candles for the same market and it would return same error