Apply pylint's linting rules to examples/rest/public/*.py.

This commit is contained in:
Davide Casale
2023-03-08 21:27:46 +01:00
parent 7311ffae4f
commit b0da5e2fb1
6 changed files with 7 additions and 7 deletions

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@@ -21,4 +21,4 @@ print("25 price points of fUSD order book (with precision P0):", f_book)
f_raw_book: List[FundingCurrencyRawBook] = bfx.rest.public.get_f_raw_book("fUSD") f_raw_book: List[FundingCurrencyRawBook] = bfx.rest.public.get_f_raw_book("fUSD")
print("fUSD raw order book:", f_raw_book) print("fUSD raw order book:", f_raw_book)

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@@ -15,4 +15,4 @@ print (bfx.rest.public.conf(Config.MAP_CURRENCY_SYM))
print(bfx.rest.public.conf(Config.LIST_PAIR_EXCHANGE)) print(bfx.rest.public.conf(Config.LIST_PAIR_EXCHANGE))
# Prints all the available funding currencies (pub:list:currency) # Prints all the available funding currencies (pub:list:currency)
print(bfx.rest.public.conf(Config.LIST_CURRENCY)) print(bfx.rest.public.conf(Config.LIST_CURRENCY))

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@@ -8,4 +8,4 @@ print(f"Candles: {bfx.rest.public.get_candles_hist(symbol='tBTCUSD')}")
# Be sure to specify a period or aggregated period when retrieving funding candles. # Be sure to specify a period or aggregated period when retrieving funding candles.
# If you wish to mimic the candles found in the UI, use the following setup to aggregate all funding candles: a30:p2:p30 # If you wish to mimic the candles found in the UI, use the following setup to aggregate all funding candles: a30:p2:p30
print(f"Candles: {bfx.rest.public.get_candles_hist(tf='15m', symbol='fUSD:a30:p2:p30')}") print(f"Candles: {bfx.rest.public.get_candles_hist(tf='15m', symbol='fUSD:a30:p2:p30')}")

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@@ -9,7 +9,7 @@ from bfxapi.rest.types import List, PulseMessage, PulseProfile
bfx = Client(rest_host=PUB_REST_HOST) bfx = Client(rest_host=PUB_REST_HOST)
# POSIX timestamp in milliseconds (check https://currentmillis.com/) # POSIX timestamp in milliseconds (check https://currentmillis.com/)
end = datetime.datetime(2020, 5, 2).timestamp() * 1000 end = datetime.datetime(2020, 5, 2).timestamp() * 1000
# Retrieves 25 pulse messages up to 2020/05/02 # Retrieves 25 pulse messages up to 2020/05/02
messages: List[PulseMessage] = bfx.rest.public.get_pulse_history(end=end, limit=25) messages: List[PulseMessage] = bfx.rest.public.get_pulse_history(end=end, limit=25)
@@ -21,4 +21,4 @@ for message in messages:
profile: PulseProfile = bfx.rest.public.get_pulse_profile("News") profile: PulseProfile = bfx.rest.public.get_pulse_profile("News")
URL = profile.picture.replace("size", "small") URL = profile.picture.replace("size", "small")
print(f"<{profile.nickname}>'s profile picture: https://s3-eu-west-1.amazonaws.com/bfx-pub/{URL}") print(f"<{profile.nickname}>'s profile picture: https://s3-eu-west-1.amazonaws.com/bfx-pub/{URL}")

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@@ -25,4 +25,4 @@ print("Average execution rate for fUSD:", funding_market_average_price.rate_avg)
fx_rate: FxRate = bfx.rest.public.get_fx_rate(ccy1="USD", ccy2="EUR") fx_rate: FxRate = bfx.rest.public.get_fx_rate(ccy1="USD", ccy2="EUR")
print("Exchange rate between USD and EUR:", fx_rate.current_rate) print("Exchange rate between USD and EUR:", fx_rate.current_rate)

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@@ -14,4 +14,4 @@ print("Latest 15 trades for tBTCUSD (in ascending order):", t_trades)
f_trades: List[FundingCurrencyTrade] = bfx.rest.public.get_f_trades("fUSD", \ f_trades: List[FundingCurrencyTrade] = bfx.rest.public.get_f_trades("fUSD", \
limit=15, sort=Sort.DESCENDING) limit=15, sort=Sort.DESCENDING)
print("Latest 15 trades for fUSD (in descending order):", f_trades) print("Latest 15 trades for fUSD (in descending order):", f_trades)