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Merge pull request #5182 from aayush-jain18/docstring-cleanup

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Docstring cleanup
This commit is contained in:
Matthias 2021-06-25 20:53:54 +02:00 committed by GitHub
commit ea89af30c7
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14 changed files with 30 additions and 21 deletions
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1
freqtrade/commands/optimize_commands.py
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@ -15,6 +15,7 @@ def setup_optimize_configuration(args: Dict[str, Any], method: RunMode) -> Dict[
"""
Prepare the configuration for the Hyperopt module
:param args: Cli args from Arguments()
:param method: Bot running mode
:return: Configuration
"""
config = setup_utils_configuration(args, method)

1
freqtrade/configuration/config_setup.py
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@ -15,6 +15,7 @@ def setup_utils_configuration(args: Dict[str, Any], method: RunMode) -> Dict[str
"""
Prepare the configuration for utils subcommands
:param args: Cli args from Arguments()
:param method: Bot running mode
:return: Configuration
"""
configuration = Configuration(args, method)

4
freqtrade/data/history/hdf5datahandler.py
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@ -52,8 +52,8 @@ class HDF5DataHandler(IDataHandler):
"""
Store data in hdf5 file.
:param pair: Pair - used to generate filename
:timeframe: Timeframe - used to generate filename
:data: Dataframe containing OHLCV data
:param timeframe: Timeframe - used to generate filename
:param data: Dataframe containing OHLCV data
:return: None
"""
key = self._pair_ohlcv_key(pair, timeframe)

1
freqtrade/data/history/history_utils.py
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@ -113,6 +113,7 @@ def refresh_data(datadir: Path,
:param timeframe: Timeframe (e.g. "5m")
:param pairs: List of pairs to load
:param exchange: Exchange object
:param data_format: dataformat to use
:param timerange: Limit data to be loaded to this timerange
"""
data_handler = get_datahandler(datadir, data_format)

8
freqtrade/data/history/idatahandler.py
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@ -49,8 +49,8 @@ class IDataHandler(ABC):
"""
Store ohlcv data.
:param pair: Pair - used to generate filename
:timeframe: Timeframe - used to generate filename
:data: Dataframe containing OHLCV data
:param timeframe: Timeframe - used to generate filename
:param data: Dataframe containing OHLCV data
:return: None
"""
@ -245,8 +245,8 @@ def get_datahandler(datadir: Path, data_format: str = None,
data_handler: IDataHandler = None) -> IDataHandler:
"""
:param datadir: Folder to save data
:data_format: dataformat to use
:data_handler: returns this datahandler if it exists or initializes a new one
:param data_format: dataformat to use
:param data_handler: returns this datahandler if it exists or initializes a new one
"""
if not data_handler:

4
freqtrade/data/history/jsondatahandler.py
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@ -55,8 +55,8 @@ class JsonDataHandler(IDataHandler):
format looks as follows:
[[<date>,<open>,<high>,<low>,<close>]]
:param pair: Pair - used to generate filename
:timeframe: Timeframe - used to generate filename
:data: Dataframe containing OHLCV data
:param timeframe: Timeframe - used to generate filename
:param data: Dataframe containing OHLCV data
:return: None
"""
filename = self._pair_data_filename(self._datadir, pair, timeframe)

10
freqtrade/exchange/exchange.py
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@ -475,11 +475,11 @@ class Exchange:
return endpoint in self._api.has and self._api.has[endpoint]
def amount_to_precision(self, pair: str, amount: float) -> float:
'''
"""
Returns the amount to buy or sell to a precision the Exchange accepts
Re-implementation of ccxt internal methods - ensuring we can test the result is correct
based on our definitions.
'''
"""
if self.markets[pair]['precision']['amount']:
amount = float(decimal_to_precision(amount, rounding_mode=TRUNCATE,
precision=self.markets[pair]['precision']['amount'],
@ -489,14 +489,14 @@ class Exchange:
return amount
def price_to_precision(self, pair: str, price: float) -> float:
'''
"""
Returns the price rounded up to the precision the Exchange accepts.
Partial Re-implementation of ccxt internal method decimal_to_precision(),
which does not support rounding up
TODO: If ccxt supports ROUND_UP for decimal_to_precision(), we could remove this and
align with amount_to_precision().
Rounds up
'''
"""
if self.markets[pair]['precision']['price']:
# price = float(decimal_to_precision(price, rounding_mode=ROUND,
# precision=self.markets[pair]['precision']['price'],
@ -796,6 +796,8 @@ class Exchange:
"""
Simple wrapper calling either fetch_order or fetch_stoploss_order depending on
the stoploss_order parameter
:param order_id: OrderId to fetch order
:param pair: Pair corresponding to order_id
:param stoploss_order: If true, uses fetch_stoploss_order, otherwise fetch_order.
"""
if stoploss_order:

3
freqtrade/freqtradebot.py
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@ -472,6 +472,7 @@ class FreqtradeBot(LoggingMixin):
"""
Executes a limit buy for the given pair
:param pair: pair for which we want to create a LIMIT_BUY
:param stake_amount: amount of stake-currency for the pair
:return: True if a buy order is created, false if it fails.
"""
time_in_force = self.strategy.order_time_in_force['buy']
@ -834,7 +835,7 @@ class FreqtradeBot(LoggingMixin):
"""
Check to see if stoploss on exchange should be updated
in case of trailing stoploss on exchange
:param Trade: Corresponding Trade
:param trade: Corresponding Trade
:param order: Current on exchange stoploss order
:return: None
"""

1
freqtrade/misc.py
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@ -56,6 +56,7 @@ def file_dump_json(filename: Path, data: Any, is_zip: bool = False, log: bool =
"""
Dump JSON data into a file
:param filename: file to create
:param is_zip: if file should be zip
:param data: JSON Data to save
:return:
"""

3
freqtrade/optimize/optimize_reports.py
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@ -507,9 +507,8 @@ def text_table_sell_reason(sell_reason_stats: List[Dict[str, Any]], stake_curren
def text_table_strategy(strategy_results, stake_currency: str) -> str:
"""
Generate summary table per strategy
:param strategy_results: Dict of <Strategyname: DataFrame> containing results for all strategies
:param stake_currency: stake-currency - used to correctly name headers
:param max_open_trades: Maximum allowed open trades used for backtest
:param all_results: Dict of <Strategyname: DataFrame> containing results for all strategies
:return: pretty printed table with tabulate as string
"""
floatfmt = _get_line_floatfmt(stake_currency)

4
freqtrade/plugins/pairlist/VolatilityFilter.py
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@ -20,9 +20,9 @@ logger = logging.getLogger(__name__)
class VolatilityFilter(IPairList):
'''
"""
Filters pairs by volatility
'''
"""
def __init__(self, exchange, pairlistmanager,
config: Dict[str, Any], pairlistconfig: Dict[str, Any],

1
freqtrade/resolvers/exchange_resolver.py
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@ -21,6 +21,7 @@ class ExchangeResolver(IResolver):
def load_exchange(exchange_name: str, config: dict, validate: bool = True) -> Exchange:
"""
Load the custom class from config parameter
:param exchange_name: name of the Exchange to load
:param config: configuration dictionary
"""
# Map exchange name to avoid duplicate classes for identical exchanges

2
freqtrade/resolvers/iresolver.py
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@ -135,7 +135,7 @@ class IResolver:
extra_dir: Optional[str] = None) -> Any:
"""
Search and loads the specified object as configured in hte child class.
:param objectname: name of the module to import
:param object_name: name of the module to import
:param config: configuration dictionary
:param extra_dir: additional directory to search for the given pairlist
:raises: OperationalException if the class is invalid or does not exist.

8
freqtrade/strategy/interface.py
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@ -349,7 +349,7 @@ class IStrategy(ABC, HyperStrategyMixin):
The 2nd, optional parameter ensures that locks are applied until the new candle arrives,
and not stop at 14:00:00 - while the next candle arrives at 14:00:02 leaving a gap
of 2 seconds for a buy to happen on an old signal.
:param: pair: "Pair to check"
:param pair: "Pair to check"
:param candle_date: Date of the last candle. Optional, defaults to current date
:returns: locking state of the pair in question.
"""
@ -733,7 +733,8 @@ class IStrategy(ABC, HyperStrategyMixin):
Based on TA indicators, populates the buy signal for the given dataframe
This method should not be overridden.
:param dataframe: DataFrame
:param pair: Additional information, like the currently traded pair
:param metadata: Additional information dictionary, with details like the
currently traded pair
:return: DataFrame with buy column
"""
logger.debug(f"Populating buy signals for pair {metadata.get('pair')}.")
@ -750,7 +751,8 @@ class IStrategy(ABC, HyperStrategyMixin):
Based on TA indicators, populates the sell signal for the given dataframe
This method should not be overridden.
:param dataframe: DataFrame
:param pair: Additional information, like the currently traded pair
:param metadata: Additional information dictionary, with details like the
currently traded pair
:return: DataFrame with sell column
"""
logger.debug(f"Populating sell signals for pair {metadata.get('pair')}.")