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Merge branch 'develop' into download_module

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Matthias 2019-08-20 06:49:18 +02:00
commit e8ee087e9d
25 changed files with 315 additions and 239 deletions
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17
.dependabot/config.yml Normal file
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@ -0,0 +1,17 @@
version: 1
update_configs:
- package_manager: "python"
directory: "/"
update_schedule: "weekly"
allowed_updates:
- match:
update_type: "all"
target_branch: "develop"
- package_manager: "docker"
directory: "/"
update_schedule: "daily"
allowed_updates:
- match:
update_type: "all"

37
.pyup.yml
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@ -1,37 +0,0 @@
# autogenerated pyup.io config file
# see https://pyup.io/docs/configuration/ for all available options
# configure updates globally
# default: all
# allowed: all, insecure, False
update: all
# configure dependency pinning globally
# default: True
# allowed: True, False
pin: True
# update schedule
# default: empty
# allowed: "every day", "every week", ..
schedule: "every week"
search: False
# Specify requirement files by hand, default is empty
# default: empty
# allowed: list
requirements:
- requirements.txt
- requirements-dev.txt
- requirements-plot.txt
- requirements-common.txt
# configure the branch prefix the bot is using
# default: pyup-
branch_prefix: pyup/
# allow to close stale PRs
# default: True
close_prs: True

4
docs/docker.md
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@ -26,6 +26,10 @@ To update the image, simply run the above commands again and restart your runnin
Should you require additional libraries, please [build the image yourself](#build-your-own-docker-image).
!!! Note Docker image update frequency
The official docker images with tags `master`, `develop` and `latest` are automatically rebuild once a week to keep the base image uptodate.
In addition to that, every merge to `develop` will trigger a rebuild for `develop` and `latest`.
### Prepare the configuration files
Even though you will use docker, you'll still need some files from the github repository.

23
docs/strategy-customization.md
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@ -274,27 +274,24 @@ Please always check the mode of operation to select the correct method to get da
#### Possible options for DataProvider
- `available_pairs` - Property with tuples listing cached pairs with their intervals. (pair, interval)
- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for all pairs in the whitelist, returns DataFrame or empty DataFrame
- `historic_ohlcv(pair, ticker_interval)` - Data stored on disk
- `available_pairs` - Property with tuples listing cached pairs with their intervals (pair, interval).
- `ohlcv(pair, ticker_interval)` - Currently cached ticker data for the pair, returns DataFrame or empty DataFrame.
- `historic_ohlcv(pair, ticker_interval)` - Returns historical data stored on disk.
- `get_pair_dataframe(pair, ticker_interval)` - This is a universal method, which returns either historical data (for backtesting) or cached live data (for the Dry-Run and Live-Run modes).
- `runmode` - Property containing the current runmode.
#### ohlcv / historic_ohlcv
#### Example: fetch live ohlcv / historic data for the first informative pair
``` python
if self.dp:
if self.dp.runmode in ('live', 'dry_run'):
if (f'{self.stake_currency}/BTC', self.ticker_interval) in self.dp.available_pairs:
data_eth = self.dp.ohlcv(pair='{self.stake_currency}/BTC',
ticker_interval=self.ticker_interval)
else:
# Get historic ohlcv data (cached on disk).
history_eth = self.dp.historic_ohlcv(pair='{self.stake_currency}/BTC',
ticker_interval='1h')
inf_pair, inf_timeframe = self.informative_pairs()[0]
informative = self.dp.get_pair_dataframe(pair=inf_pair,
ticker_interval=inf_timeframe)
```
!!! Warning Warning about backtesting
Be carefull when using dataprovider in backtesting. `historic_ohlcv()` provides the full time-range in one go,
Be carefull when using dataprovider in backtesting. `historic_ohlcv()` (and `get_pair_dataframe()`
for the backtesting runmode) provides the full time-range in one go,
so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode).
!!! Warning Warning in hyperopt

1
freqtrade/configuration/__init__.py
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@ -1,3 +1,4 @@
from freqtrade.configuration.arguments import Arguments # noqa: F401
from freqtrade.configuration.timerange import TimeRange # noqa: F401
from freqtrade.configuration.configuration import Configuration # noqa: F401
from freqtrade.configuration.config_validation import validate_config_consistency # noqa: F401

102
freqtrade/configuration/config_validation.py Normal file
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@ -0,0 +1,102 @@
import logging
from typing import Any, Dict
from jsonschema import Draft4Validator, validators
from jsonschema.exceptions import ValidationError, best_match
from freqtrade import constants, OperationalException
logger = logging.getLogger(__name__)
def _extend_validator(validator_class):
"""
Extended validator for the Freqtrade configuration JSON Schema.
Currently it only handles defaults for subschemas.
"""
validate_properties = validator_class.VALIDATORS['properties']
def set_defaults(validator, properties, instance, schema):
for prop, subschema in properties.items():
if 'default' in subschema:
instance.setdefault(prop, subschema['default'])
for error in validate_properties(
validator, properties, instance, schema,
):
yield error
return validators.extend(
validator_class, {'properties': set_defaults}
)
FreqtradeValidator = _extend_validator(Draft4Validator)
def validate_config_schema(conf: Dict[str, Any]) -> Dict[str, Any]:
"""
Validate the configuration follow the Config Schema
:param conf: Config in JSON format
:return: Returns the config if valid, otherwise throw an exception
"""
try:
FreqtradeValidator(constants.CONF_SCHEMA).validate(conf)
return conf
except ValidationError as e:
logger.critical(
f"Invalid configuration. See config.json.example. Reason: {e}"
)
raise ValidationError(
best_match(Draft4Validator(constants.CONF_SCHEMA).iter_errors(conf)).message
)
def validate_config_consistency(conf: Dict[str, Any]) -> None:
"""
Validate the configuration consistency.
Should be ran after loading both configuration and strategy,
since strategies can set certain configuration settings too.
:param conf: Config in JSON format
:return: Returns None if everything is ok, otherwise throw an OperationalException
"""
# validating trailing stoploss
_validate_trailing_stoploss(conf)
_validate_edge(conf)
def _validate_trailing_stoploss(conf: Dict[str, Any]) -> None:
# Skip if trailing stoploss is not activated
if not conf.get('trailing_stop', False):
return
tsl_positive = float(conf.get('trailing_stop_positive', 0))
tsl_offset = float(conf.get('trailing_stop_positive_offset', 0))
tsl_only_offset = conf.get('trailing_only_offset_is_reached', False)
if tsl_only_offset:
if tsl_positive == 0.0:
raise OperationalException(
f'The config trailing_only_offset_is_reached needs '
'trailing_stop_positive_offset to be more than 0 in your config.')
if tsl_positive > 0 and 0 < tsl_offset <= tsl_positive:
raise OperationalException(
f'The config trailing_stop_positive_offset needs '
'to be greater than trailing_stop_positive_offset in your config.')
def _validate_edge(conf: Dict[str, Any]) -> None:
"""
Edge and Dynamic whitelist should not both be enabled, since edge overrides dynamic whitelists.
"""
if not conf.get('edge', {}).get('enabled'):
return
if conf.get('pairlist', {}).get('method') == 'VolumePairList':
raise OperationalException(
"Edge and VolumePairList are incompatible, "
"Edge will override whatever pairs VolumePairlist selects."
)

38
freqtrade/configuration/configuration.py
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@ -7,10 +7,11 @@ from argparse import Namespace
from pathlib import Path
from typing import Any, Callable, Dict, List, Optional
from freqtrade import OperationalException, constants
from freqtrade import constants, OperationalException
from freqtrade.configuration.check_exchange import check_exchange
from freqtrade.configuration.create_datadir import create_datadir
from freqtrade.configuration.json_schema import validate_config_schema
from freqtrade.configuration.config_validation import (validate_config_schema,
validate_config_consistency)
from freqtrade.configuration.load_config import load_config_file
from freqtrade.loggers import setup_logging
from freqtrade.misc import deep_merge_dicts, json_load
@ -81,8 +82,6 @@ class Configuration(object):
# Load all configs
config: Dict[str, Any] = Configuration.from_files(self.args.config)
self._validate_config_consistency(config)
self._process_common_options(config)
self._process_optimize_options(config)
@ -96,6 +95,8 @@ class Configuration(object):
self._resolve_pairs_list(config)
validate_config_consistency(config)
return config
def _process_logging_options(self, config: Dict[str, Any]) -> None:
@ -304,35 +305,6 @@ class Configuration(object):
config.update({'runmode': self.runmode})
def _validate_config_consistency(self, conf: Dict[str, Any]) -> None:
"""
Validate the configuration consistency
:param conf: Config in JSON format
:return: Returns None if everything is ok, otherwise throw an OperationalException
"""
# validating trailing stoploss
self._validate_trailing_stoploss(conf)
def _validate_trailing_stoploss(self, conf: Dict[str, Any]) -> None:
# Skip if trailing stoploss is not activated
if not conf.get('trailing_stop', False):
return
tsl_positive = float(conf.get('trailing_stop_positive', 0))
tsl_offset = float(conf.get('trailing_stop_positive_offset', 0))
tsl_only_offset = conf.get('trailing_only_offset_is_reached', False)
if tsl_only_offset:
if tsl_positive == 0.0:
raise OperationalException(
f'The config trailing_only_offset_is_reached needs '
'trailing_stop_positive_offset to be more than 0 in your config.')
if tsl_positive > 0 and 0 < tsl_offset <= tsl_positive:
raise OperationalException(
f'The config trailing_stop_positive_offset needs '
'to be greater than trailing_stop_positive_offset in your config.')
def _args_to_config(self, config: Dict[str, Any], argname: str,
logstring: str, logfun: Optional[Callable] = None,
deprecated_msg: Optional[str] = None) -> None:

53
freqtrade/configuration/json_schema.py
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@ -1,53 +0,0 @@
import logging
from typing import Any, Dict
from jsonschema import Draft4Validator, validators
from jsonschema.exceptions import ValidationError, best_match
from freqtrade import constants
logger = logging.getLogger(__name__)
def _extend_validator(validator_class):
"""
Extended validator for the Freqtrade configuration JSON Schema.
Currently it only handles defaults for subschemas.
"""
validate_properties = validator_class.VALIDATORS['properties']
def set_defaults(validator, properties, instance, schema):
for prop, subschema in properties.items():
if 'default' in subschema:
instance.setdefault(prop, subschema['default'])
for error in validate_properties(
validator, properties, instance, schema,
):
yield error
return validators.extend(
validator_class, {'properties': set_defaults}
)
FreqtradeValidator = _extend_validator(Draft4Validator)
def validate_config_schema(conf: Dict[str, Any]) -> Dict[str, Any]:
"""
Validate the configuration follow the Config Schema
:param conf: Config in JSON format
:return: Returns the config if valid, otherwise throw an exception
"""
try:
FreqtradeValidator(constants.CONF_SCHEMA).validate(conf)
return conf
except ValidationError as e:
logger.critical(
f"Invalid configuration. See config.json.example. Reason: {e}"
)
raise ValidationError(
best_match(Draft4Validator(constants.CONF_SCHEMA).iter_errors(conf)).message
)

1
freqtrade/constants.py
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@ -5,7 +5,6 @@ bot constants
"""
DEFAULT_CONFIG = 'config.json'
DEFAULT_EXCHANGE = 'bittrex'
DYNAMIC_WHITELIST = 20 # pairs
PROCESS_THROTTLE_SECS = 5 # sec
DEFAULT_TICKER_INTERVAL = 5 # min
HYPEROPT_EPOCH = 100 # epochs

43
freqtrade/data/dataprovider.py
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@ -44,36 +44,49 @@ class DataProvider():
def ohlcv(self, pair: str, ticker_interval: str = None, copy: bool = True) -> DataFrame:
"""
get ohlcv data for the given pair as DataFrame
Please check `available_pairs` to verify which pairs are currently cached.
Get ohlcv data for the given pair as DataFrame
Please use the `available_pairs` method to verify which pairs are currently cached.
:param pair: pair to get the data for
:param ticker_interval: ticker_interval to get pair for
:param copy: copy dataframe before returning.
Use false only for RO operations (where the dataframe is not modified)
:param ticker_interval: ticker interval to get data for
:param copy: copy dataframe before returning if True.
Use False only for read-only operations (where the dataframe is not modified)
"""
if self.runmode in (RunMode.DRY_RUN, RunMode.LIVE):
if ticker_interval:
pairtick = (pair, ticker_interval)
else:
pairtick = (pair, self._config['ticker_interval'])
return self._exchange.klines(pairtick, copy=copy)
return self._exchange.klines((pair, ticker_interval or self._config['ticker_interval']),
copy=copy)
else:
return DataFrame()
def historic_ohlcv(self, pair: str, ticker_interval: str) -> DataFrame:
def historic_ohlcv(self, pair: str, ticker_interval: str = None) -> DataFrame:
"""
get stored historic ohlcv data
Get stored historic ohlcv data
:param pair: pair to get the data for
:param ticker_interval: ticker_interval to get pair for
:param ticker_interval: ticker interval to get data for
"""
return load_pair_history(pair=pair,
ticker_interval=ticker_interval,
ticker_interval=ticker_interval or self._config['ticker_interval'],
refresh_pairs=False,
datadir=Path(self._config['datadir']) if self._config.get(
'datadir') else None
)
def get_pair_dataframe(self, pair: str, ticker_interval: str = None) -> DataFrame:
"""
Return pair ohlcv data, either live or cached historical -- depending
on the runmode.
:param pair: pair to get the data for
:param ticker_interval: ticker interval to get data for
"""
if self.runmode in (RunMode.DRY_RUN, RunMode.LIVE):
# Get live ohlcv data.
data = self.ohlcv(pair=pair, ticker_interval=ticker_interval)
else:
# Get historic ohlcv data (cached on disk).
data = self.historic_ohlcv(pair=pair, ticker_interval=ticker_interval)
if len(data) == 0:
logger.warning(f"No data found for ({pair}, {ticker_interval}).")
return data
def ticker(self, pair: str):
"""
Return last ticker data

35
freqtrade/data/history.py
View File

@ -43,7 +43,7 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
start_index += 1
if timerange.stoptype == 'line':
start_index = len(tickerlist) + timerange.stopts
start_index = max(len(tickerlist) + timerange.stopts, 0)
if timerange.stoptype == 'index':
stop_index = timerange.stopts
elif timerange.stoptype == 'date':
@ -57,9 +57,7 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
return tickerlist[start_index:stop_index]
def load_tickerdata_file(
datadir: Optional[Path], pair: str,
ticker_interval: str,
def load_tickerdata_file(datadir: Optional[Path], pair: str, ticker_interval: str,
timerange: Optional[TimeRange] = None) -> Optional[list]:
"""
Load a pair from file, either .json.gz or .json
@ -68,13 +66,22 @@ def load_tickerdata_file(
filename = pair_data_filename(datadir, pair, ticker_interval)
pairdata = misc.file_load_json(filename)
if not pairdata:
return None
return []
if timerange:
pairdata = trim_tickerlist(pairdata, timerange)
return pairdata
def store_tickerdata_file(datadir: Optional[Path], pair: str,
ticker_interval: str, data: list, is_zip: bool = False):
"""
Stores tickerdata to file
"""
filename = pair_data_filename(datadir, pair, ticker_interval)
misc.file_dump_json(filename, data, is_zip=is_zip)
def load_pair_history(pair: str,
ticker_interval: str,
datadir: Optional[Path],
@ -177,11 +184,14 @@ def pair_data_filename(datadir: Optional[Path], pair: str, ticker_interval: str)
return filename
def load_cached_data_for_updating(filename: Path, ticker_interval: str,
def load_cached_data_for_updating(datadir: Optional[Path], pair: str, ticker_interval: str,
timerange: Optional[TimeRange]) -> Tuple[List[Any],
Optional[int]]:
"""
Load cached data and choose what part of the data should be updated
Load cached data to download more data.
If timerange is passed in, checks wether data from an before the stored data will be downloaded.
If that's the case than what's available should be completely overwritten.
Only used by download_pair_history().
"""
since_ms = None
@ -195,9 +205,8 @@ def load_cached_data_for_updating(filename: Path, ticker_interval: str,
since_ms = arrow.utcnow().shift(minutes=num_minutes).timestamp * 1000
# read the cached file
if filename.is_file():
with open(filename, "rt") as file:
data = misc.json_load(file)
# Intentionally don't pass timerange in - since we need to load the full dataset.
data = load_tickerdata_file(datadir, pair, ticker_interval)
# remove the last item, could be incomplete candle
if data:
data.pop()
@ -239,14 +248,12 @@ def download_pair_history(datadir: Optional[Path],
)
try:
filename = pair_data_filename(datadir, pair, ticker_interval)
logger.info(
f'Download history data for pair: "{pair}", interval: {ticker_interval} '
f'and store in {datadir}.'
)
data, since_ms = load_cached_data_for_updating(filename, ticker_interval, timerange)
data, since_ms = load_cached_data_for_updating(datadir, pair, ticker_interval, timerange)
logger.debug("Current Start: %s", misc.format_ms_time(data[1][0]) if data else 'None')
logger.debug("Current End: %s", misc.format_ms_time(data[-1][0]) if data else 'None')
@ -262,7 +269,7 @@ def download_pair_history(datadir: Optional[Path],
logger.debug("New Start: %s", misc.format_ms_time(data[0][0]))
logger.debug("New End: %s", misc.format_ms_time(data[-1][0]))
misc.file_dump_json(filename, data)
store_tickerdata_file(datadir, pair, ticker_interval, data=data)
return True
except Exception as e:

11
freqtrade/exchange/exchange.py
View File

@ -408,12 +408,12 @@ class Exchange(object):
except ccxt.InsufficientFunds as e:
raise DependencyException(
f'Insufficient funds to create {ordertype} {side} order on market {pair}.'
f'Tried to {side} amount {amount} at rate {rate} (total {rate * amount}).'
f'Tried to {side} amount {amount} at rate {rate}.'
f'Message: {e}') from e
except ccxt.InvalidOrder as e:
raise DependencyException(
f'Could not create {ordertype} {side} order on market {pair}.'
f'Tried to {side} amount {amount} at rate {rate} (total {rate * amount}).'
f'Tried to {side} amount {amount} at rate {rate}.'
f'Message: {e}') from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
@ -472,7 +472,7 @@ class Exchange(object):
order = self.create_order(pair, ordertype, 'sell', amount, rate, params)
logger.info('stoploss limit order added for %s. '
'stop price: %s. limit: %s' % (pair, stop_price, rate))
'stop price: %s. limit: %s', pair, stop_price, rate)
return order
@retrier
@ -696,8 +696,13 @@ class Exchange(object):
@retrier
def get_order(self, order_id: str, pair: str) -> Dict:
if self._config['dry_run']:
try:
order = self._dry_run_open_orders[order_id]
return order
except KeyError as e:
# Gracefully handle errors with dry-run orders.
raise InvalidOrderException(
f'Tried to get an invalid dry-run-order (id: {order_id}). Message: {e}') from e
try:
return self._api.fetch_order(order_id, pair)
except ccxt.InvalidOrder as e:

4
freqtrade/freqtradebot.py
View File

@ -16,6 +16,7 @@ from freqtrade import (DependencyException, OperationalException, InvalidOrderEx
from freqtrade.data.converter import order_book_to_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.edge import Edge
from freqtrade.configuration import validate_config_consistency
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date
from freqtrade.persistence import Trade
from freqtrade.rpc import RPCManager, RPCMessageType
@ -51,6 +52,9 @@ class FreqtradeBot(object):
self.strategy: IStrategy = StrategyResolver(self.config).strategy
# Check config consistency here since strategies can set certain options
validate_config_consistency(config)
self.rpc: RPCManager = RPCManager(self)
self.exchange = ExchangeResolver(self.config['exchange']['name'], self.config).exchange

8
freqtrade/misc.py
View File

@ -5,11 +5,11 @@ import gzip
import logging
import re
from datetime import datetime
from pathlib import Path
import numpy as np
import rapidjson
logger = logging.getLogger(__name__)
@ -39,7 +39,7 @@ def datesarray_to_datetimearray(dates: np.ndarray) -> np.ndarray:
return dates.dt.to_pydatetime()
def file_dump_json(filename, data, is_zip=False) -> None:
def file_dump_json(filename: Path, data, is_zip=False) -> None:
"""
Dump JSON data into a file
:param filename: file to create
@ -49,8 +49,8 @@ def file_dump_json(filename, data, is_zip=False) -> None:
logger.info(f'dumping json to "{filename}"')
if is_zip:
if not filename.endswith('.gz'):
filename = filename + '.gz'
if filename.suffix != '.gz':
filename = filename.with_suffix('.gz')
with gzip.open(filename, 'w') as fp:
rapidjson.dump(data, fp, default=str, number_mode=rapidjson.NM_NATIVE)
else:

12
freqtrade/optimize/backtesting.py
View File

@ -190,7 +190,7 @@ class Backtesting(object):
return tabulate(tabular_data, headers=headers, # type: ignore
floatfmt=floatfmt, tablefmt="pipe")
def _store_backtest_result(self, recordfilename: str, results: DataFrame,
def _store_backtest_result(self, recordfilename: Path, results: DataFrame,
strategyname: Optional[str] = None) -> None:
records = [(t.pair, t.profit_percent, t.open_time.timestamp(),
@ -201,10 +201,10 @@ class Backtesting(object):
if records:
if strategyname:
# Inject strategyname to filename
recname = Path(recordfilename)
recordfilename = str(Path.joinpath(
recname.parent, f'{recname.stem}-{strategyname}').with_suffix(recname.suffix))
logger.info('Dumping backtest results to %s', recordfilename)
recordfilename = Path.joinpath(
recordfilename.parent,
f'{recordfilename.stem}-{strategyname}').with_suffix(recordfilename.suffix)
logger.info(f'Dumping backtest results to {recordfilename}')
file_dump_json(recordfilename, records)
def _get_ticker_list(self, processed) -> Dict[str, DataFrame]:
@ -458,7 +458,7 @@ class Backtesting(object):
for strategy, results in all_results.items():
if self.config.get('export', False):
self._store_backtest_result(self.config['exportfilename'], results,
self._store_backtest_result(Path(self.config['exportfilename']), results,
strategy if len(self.strategylist) > 1 else None)
print(f"Result for strategy {strategy}")

3
freqtrade/pairlist/VolumePairList.py
View File

@ -55,7 +55,6 @@ class VolumePairList(IPairList):
# Generate dynamic whitelist
self._whitelist = self._gen_pair_whitelist(
self._config['stake_currency'], self._sort_key)[:self._number_pairs]
logger.info(f"Searching pairs: {self._whitelist}")
@cached(TTLCache(maxsize=1, ttl=1800))
def _gen_pair_whitelist(self, base_currency: str, key: str) -> List[str]:
@ -92,4 +91,6 @@ class VolumePairList(IPairList):
valid_tickers.remove(t)
pairs = [s['symbol'] for s in valid_tickers]
logger.info(f"Searching pairs: {self._whitelist}")
return pairs

3
freqtrade/resolvers/iresolver.py
View File

@ -29,7 +29,8 @@ class IResolver(object):
"""
# Generate spec based on absolute path
spec = importlib.util.spec_from_file_location('unknown', str(module_path))
# Pass object_name as first argument to have logging print a reasonable name.
spec = importlib.util.spec_from_file_location(object_name, str(module_path))
module = importlib.util.module_from_spec(spec)
try:
spec.loader.exec_module(module) # type: ignore # importlib does not use typehints

40
freqtrade/tests/data/test_dataprovider.py
View File

@ -13,6 +13,7 @@ def test_ohlcv(mocker, default_conf, ticker_history):
exchange = get_patched_exchange(mocker, default_conf)
exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.DRY_RUN
assert ticker_history.equals(dp.ohlcv("UNITTEST/BTC", ticker_interval))
@ -37,11 +38,9 @@ def test_ohlcv(mocker, default_conf, ticker_history):
def test_historic_ohlcv(mocker, default_conf, ticker_history):
historymock = MagicMock(return_value=ticker_history)
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
# exchange = get_patched_exchange(mocker, default_conf)
dp = DataProvider(default_conf, None)
data = dp.historic_ohlcv("UNITTEST/BTC", "5m")
assert isinstance(data, DataFrame)
@ -51,14 +50,47 @@ def test_historic_ohlcv(mocker, default_conf, ticker_history):
assert historymock.call_args_list[0][1]["ticker_interval"] == "5m"
def test_get_pair_dataframe(mocker, default_conf, ticker_history):
default_conf["runmode"] = RunMode.DRY_RUN
ticker_interval = default_conf["ticker_interval"]
exchange = get_patched_exchange(mocker, default_conf)
exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.DRY_RUN
assert ticker_history.equals(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval))
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
assert dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval) is not ticker_history
assert not dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval).empty
assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
# Test with and without parameter
assert dp.get_pair_dataframe("UNITTEST/BTC",
ticker_interval).equals(dp.get_pair_dataframe("UNITTEST/BTC"))
default_conf["runmode"] = RunMode.LIVE
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.LIVE
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
historymock = MagicMock(return_value=ticker_history)
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
default_conf["runmode"] = RunMode.BACKTEST
dp = DataProvider(default_conf, exchange)
assert dp.runmode == RunMode.BACKTEST
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
# assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
def test_available_pairs(mocker, default_conf, ticker_history):
exchange = get_patched_exchange(mocker, default_conf)
ticker_interval = default_conf["ticker_interval"]
exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
dp = DataProvider(default_conf, exchange)
dp = DataProvider(default_conf, exchange)
assert len(dp.available_pairs) == 2
assert dp.available_pairs == [
("XRP/BTC", ticker_interval),

42
freqtrade/tests/data/test_history.py
View File

@ -178,16 +178,13 @@ def test_load_cached_data_for_updating(mocker) -> None:
# timeframe starts earlier than the cached data
# should fully update data
timerange = TimeRange('date', None, test_data[0][0] / 1000 - 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
assert data == []
assert start_ts == test_data[0][0] - 1000
# same with 'line' timeframe
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 120
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m',
TimeRange(None, 'line', 0, -num_lines))
assert data == []
assert start_ts < test_data[0][0] - 1
@ -195,36 +192,29 @@ def test_load_cached_data_for_updating(mocker) -> None:
# timeframe starts in the center of the cached data
# should return the chached data w/o the last item
timerange = TimeRange('date', None, test_data[0][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# same with 'line' timeframe
num_lines = (test_data[-1][0] - test_data[1][0]) / 1000 / 60 + 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# timeframe starts after the chached data
# should return the chached data w/o the last item
timerange = TimeRange('date', None, test_data[-1][0] / 1000 + 1, 0)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# same with 'line' timeframe
# Try loading last 30 lines.
# Not supported by load_cached_data_for_updating, we always need to get the full data.
num_lines = 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
@ -232,35 +222,27 @@ def test_load_cached_data_for_updating(mocker) -> None:
# should return the chached data w/o the last item
num_lines = 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename,
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'UNITTEST/BTC', '1m', timerange)
assert data == test_data[:-1]
assert test_data[-2][0] < start_ts < test_data[-1][0]
# no datafile exist
# should return timestamp start time
timerange = TimeRange('date', None, now_ts - 10000, 0)
data, start_ts = load_cached_data_for_updating(test_filename.with_name('unexist'),
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'NONEXIST/BTC', '1m', timerange)
assert data == []
assert start_ts == (now_ts - 10000) * 1000
# same with 'line' timeframe
num_lines = 30
timerange = TimeRange(None, 'line', 0, -num_lines)
data, start_ts = load_cached_data_for_updating(test_filename.with_name('unexist'),
'1m',
timerange)
data, start_ts = load_cached_data_for_updating(datadir, 'NONEXIST/BTC', '1m', timerange)
assert data == []
assert start_ts == (now_ts - num_lines * 60) * 1000
# no datafile exist, no timeframe is set
# should return an empty array and None
data, start_ts = load_cached_data_for_updating(test_filename.with_name('unexist'),
'1m',
None)
data, start_ts = load_cached_data_for_updating(datadir, 'NONEXIST/BTC', '1m', None)
assert data == []
assert start_ts is None

19
freqtrade/tests/exchange/test_exchange.py
View File

@ -656,7 +656,13 @@ def test_buy_prod(default_conf, mocker, exchange_name):
with pytest.raises(DependencyException):
api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.buy(pair='ETH/BTC', ordertype=order_type,
exchange.buy(pair='ETH/BTC', ordertype='limit',
amount=1, rate=200, time_in_force=time_in_force)
with pytest.raises(DependencyException):
api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.buy(pair='ETH/BTC', ordertype='market',
amount=1, rate=200, time_in_force=time_in_force)
with pytest.raises(TemporaryError):
@ -779,7 +785,13 @@ def test_sell_prod(default_conf, mocker, exchange_name):
with pytest.raises(DependencyException):
api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
exchange.sell(pair='ETH/BTC', ordertype='limit', amount=1, rate=200)
# Market orders don't require price, so the behaviour is slightly different
with pytest.raises(DependencyException):
api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.sell(pair='ETH/BTC', ordertype='market', amount=1, rate=200)
with pytest.raises(TemporaryError):
api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError("No Connection"))
@ -1328,6 +1340,9 @@ def test_get_order(default_conf, mocker, exchange_name):
print(exchange.get_order('X', 'TKN/BTC'))
assert exchange.get_order('X', 'TKN/BTC').myid == 123
with pytest.raises(InvalidOrderException, match=r'Tried to get an invalid dry-run-order.*'):
exchange.get_order('Y', 'TKN/BTC')
default_conf['dry_run'] = False
api_mock = MagicMock()
api_mock.fetch_order = MagicMock(return_value=456)

5
freqtrade/tests/optimize/test_backtesting.py
View File

@ -2,6 +2,7 @@
import math
import random
from pathlib import Path
from unittest.mock import MagicMock
import numpy as np
@ -785,10 +786,10 @@ def test_backtest_record(default_conf, fee, mocker):
# reset test to test with strategy name
names = []
records = []
backtesting._store_backtest_result("backtest-result.json", results, "DefStrat")
backtesting._store_backtest_result(Path("backtest-result.json"), results, "DefStrat")
assert len(results) == 4
# Assert file_dump_json was only called once
assert names == ['backtest-result-DefStrat.json']
assert names == [Path('backtest-result-DefStrat.json')]
records = records[0]
# Ensure records are of correct type
assert len(records) == 4

30
freqtrade/tests/test_configuration.py
View File

@ -2,7 +2,6 @@
import json
import logging
import warnings
from argparse import Namespace
from copy import deepcopy
from pathlib import Path
from unittest.mock import MagicMock
@ -11,10 +10,10 @@ import pytest
from jsonschema import Draft4Validator, ValidationError, validate
from freqtrade import OperationalException, constants
from freqtrade.configuration import Arguments, Configuration
from freqtrade.configuration import Arguments, Configuration, validate_config_consistency
from freqtrade.configuration.check_exchange import check_exchange
from freqtrade.configuration.config_validation import validate_config_schema
from freqtrade.configuration.create_datadir import create_datadir
from freqtrade.configuration.json_schema import validate_config_schema
from freqtrade.configuration.load_config import load_config_file
from freqtrade.constants import DEFAULT_DB_DRYRUN_URL, DEFAULT_DB_PROD_URL
from freqtrade.loggers import _set_loggers
@ -625,21 +624,34 @@ def test_validate_tsl(default_conf):
with pytest.raises(OperationalException,
match=r'The config trailing_only_offset_is_reached needs '
'trailing_stop_positive_offset to be more than 0 in your config.'):
configuration = Configuration(Namespace())
configuration._validate_config_consistency(default_conf)
validate_config_consistency(default_conf)
default_conf['trailing_stop_positive_offset'] = 0.01
default_conf['trailing_stop_positive'] = 0.015
with pytest.raises(OperationalException,
match=r'The config trailing_stop_positive_offset needs '
'to be greater than trailing_stop_positive_offset in your config.'):
configuration = Configuration(Namespace())
configuration._validate_config_consistency(default_conf)
validate_config_consistency(default_conf)
default_conf['trailing_stop_positive'] = 0.01
default_conf['trailing_stop_positive_offset'] = 0.015
Configuration(Namespace())
configuration._validate_config_consistency(default_conf)
validate_config_consistency(default_conf)
def test_validate_edge(edge_conf):
edge_conf.update({"pairlist": {
"method": "VolumePairList",
}})
with pytest.raises(OperationalException,
match="Edge and VolumePairList are incompatible, "
"Edge will override whatever pairs VolumePairlist selects."):
validate_config_consistency(edge_conf)
edge_conf.update({"pairlist": {
"method": "StaticPairList",
}})
validate_config_consistency(edge_conf)
def test_load_config_test_comments() -> None:

5
freqtrade/tests/test_misc.py
View File

@ -1,6 +1,7 @@
# pragma pylint: disable=missing-docstring,C0103
import datetime
from pathlib import Path
from unittest.mock import MagicMock
from freqtrade.data.converter import parse_ticker_dataframe
@ -34,12 +35,12 @@ def test_datesarray_to_datetimearray(ticker_history_list):
def test_file_dump_json(mocker) -> None:
file_open = mocker.patch('freqtrade.misc.open', MagicMock())
json_dump = mocker.patch('rapidjson.dump', MagicMock())
file_dump_json('somefile', [1, 2, 3])
file_dump_json(Path('somefile'), [1, 2, 3])
assert file_open.call_count == 1
assert json_dump.call_count == 1
file_open = mocker.patch('freqtrade.misc.gzip.open', MagicMock())
json_dump = mocker.patch('rapidjson.dump', MagicMock())
file_dump_json('somefile', [1, 2, 3], True)
file_dump_json(Path('somefile'), [1, 2, 3], True)
assert file_open.call_count == 1
assert json_dump.call_count == 1

4
requirements-common.txt
View File

@ -1,7 +1,7 @@
# requirements without requirements installable via conda
# mainly used for Raspberry pi installs
ccxt==1.18.1043
SQLAlchemy==1.3.6
ccxt==1.18.1068
SQLAlchemy==1.3.7
python-telegram-bot==11.1.0
arrow==0.14.5
cachetools==3.1.1

2
requirements-dev.txt
View File

@ -7,7 +7,7 @@ flake8==3.7.8
flake8-type-annotations==0.1.0
flake8-tidy-imports==2.0.0
mypy==0.720
pytest==5.0.1
pytest==5.1.0
pytest-asyncio==0.10.0
pytest-cov==2.7.1
pytest-mock==1.10.4