Allow @informative in webserver mode
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@ -20,7 +20,7 @@ from freqtrade.rpc.api_server.api_schemas import (AvailablePairs, Balances, Blac
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Stats, StatusMsg, StrategyListResponse,
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StrategyResponse, SysInfo, Version,
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WhitelistResponse)
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from freqtrade.rpc.api_server.deps import get_config, get_rpc, get_rpc_optional
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from freqtrade.rpc.api_server.deps import get_config, get_exchange, get_rpc, get_rpc_optional
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from freqtrade.rpc.rpc import RPCException
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@ -217,12 +217,14 @@ def pair_candles(pair: str, timeframe: str, limit: Optional[int], rpc: RPC = Dep
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@router.get('/pair_history', response_model=PairHistory, tags=['candle data'])
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def pair_history(pair: str, timeframe: str, timerange: str, strategy: str,
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config=Depends(get_config)):
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config=Depends(get_config), exchange=Depends(get_exchange)):
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# The initial call to this endpoint can be slow, as it may need to initialize
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# the exchange class.
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config = deepcopy(config)
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config.update({
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'strategy': strategy,
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})
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return RPC._rpc_analysed_history_full(config, pair, timeframe, timerange)
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return RPC._rpc_analysed_history_full(config, pair, timeframe, timerange, exchange)
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@router.get('/plot_config', response_model=PlotConfig, tags=['candle data'])
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@ -1,5 +1,7 @@
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from typing import Any, Dict, Iterator, Optional
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from fastapi import Depends
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from freqtrade.persistence import Trade
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from freqtrade.rpc.rpc import RPC, RPCException
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@ -28,3 +30,11 @@ def get_config() -> Dict[str, Any]:
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def get_api_config() -> Dict[str, Any]:
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return ApiServer._config['api_server']
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def get_exchange(config=Depends(get_config)):
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if not ApiServer._exchange:
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from freqtrade.resolvers import ExchangeResolver
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ApiServer._exchange = ExchangeResolver.load_exchange(
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config['exchange']['name'], config)
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return ApiServer._exchange
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@ -41,6 +41,8 @@ class ApiServer(RPCHandler):
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_has_rpc: bool = False
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_bgtask_running: bool = False
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_config: Dict[str, Any] = {}
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# Exchange - only available in webserver mode.
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_exchange = None
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def __new__(cls, *args, **kwargs):
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"""
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@ -995,7 +995,7 @@ class RPC:
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@staticmethod
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def _rpc_analysed_history_full(config, pair: str, timeframe: str,
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timerange: str) -> Dict[str, Any]:
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timerange: str, exchange) -> Dict[str, Any]:
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timerange_parsed = TimeRange.parse_timerange(timerange)
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_data = load_data(
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@ -1010,7 +1010,7 @@ class RPC:
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.resolvers.strategy_resolver import StrategyResolver
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strategy = StrategyResolver.load_strategy(config)
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strategy.dp = DataProvider(config, exchange=None, pairlists=None)
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strategy.dp = DataProvider(config, exchange=exchange, pairlists=None)
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df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
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