diff --git a/coinglass_api/__init__.py b/coinglass_api/__init__.py index 02150cf..a52f8ef 100644 --- a/coinglass_api/__init__.py +++ b/coinglass_api/__init__.py @@ -1,17 +1,9 @@ from .api import CoinglassAPI -from .exceptions import ( - CoinglassAPIError, - CoinglassParameterWarning, - CoinglassRequestError, - NoDataReturnedError, - RateLimitExceededError, -) +from .exceptions import CoinglassRequestError, NoDataReturnedError, RateLimitExceededError __all__ = [ "CoinglassAPI", - "CoinglassAPIError", "CoinglassRequestError", - "RateLimitExceededError", "NoDataReturnedError", - "CoinglassParameterWarning" -] + "RateLimitExceededError", +] \ No newline at end of file diff --git a/coinglass_api/api.py b/coinglass_api/api.py index b740a95..eb63fa7 100644 --- a/coinglass_api/api.py +++ b/coinglass_api/api.py @@ -4,46 +4,49 @@ import requests from .exceptions import ( - CoinglassAPIError, CoinglassRequestError, NoDataReturnedError, RateLimitExceededError, ) -from .parameters import CoinglassParameterValidation -class CoinglassAPI(CoinglassParameterValidation): +class CoinglassAPI: """ Unofficial Python client for Coinglass API """ - def __init__(self, coinglass_secret: str): + def __init__(self, api_key: str): """ Args: - coinglass_secret: key from Coinglass, get one at + api_key: key from Coinglass, get one at https://www.coinglass.com/pricing """ - - super().__init__() - - self.__coinglass_secret = coinglass_secret - self._base_url = "https://open-api.coinglass.com/public/v2/" + self.__api_key = api_key + self._base_url = "https://open-api-v4.coinglass.com/api/v4/" self._session = requests.Session() + def _validate_params(self, params: dict): + # Basic validation, can be expanded + for key, value in params.items(): + if value is not None and not isinstance(value, (str, int, float)): + raise TypeError(f"Invalid type for parameter {key}: {type(value)}") + def _get(self, endpoint: str, params: dict | None = None) -> dict: if params: - self.validate_params(params) + self._validate_params(params) + params = {k: v for k, v in params.items() if v is not None} headers = { "accept": "application/json", - "coinglassSecret": self.__coinglass_secret + "cg-api-key": self.__api_key } url = self._base_url + endpoint - return self._session.request( + response = self._session.request( method='GET', url=url, params=params, headers=headers, timeout=30 - ).json() + ) + return response.json() @staticmethod def _create_dataframe( @@ -52,23 +55,13 @@ def _create_dataframe( unit: str | None = "ms", cast_objects_to_numeric: bool = False ) -> pd.DataFrame: - """ - Create pandas DataFrame from a list of dicts + if not data: + return pd.DataFrame() - Args: - data: list of dicts - time_col: name of time column in dict - unit: unit of time column, specify None to use auto-resolver (default: ms) - cast_objects_to_numeric: cast all object columns to numeric (default: False) - - Returns: - pandas DataFrame - """ df = pd.DataFrame(data) - if time_col: + if time_col and time_col in df.columns: if time_col == "time": - # Handle edge case of time column being named "time" df.rename(columns={"time": "t"}, inplace=True) time_col = "t" @@ -77,858 +70,102 @@ def _create_dataframe( df.set_index("time", inplace=True, drop=True) if "t" in df.columns: - # Drop additional "t" column if it exists df.drop(columns=["t"], inplace=True) if cast_objects_to_numeric: - cols = df.columns[df.dtypes.eq('object')] - df[cols] = df[cols].apply(pd.to_numeric) - + for col in df.columns: + if df[col].dtype == 'object': + df[col] = pd.to_numeric(df[col], errors='ignore') return df - @staticmethod - def _create_multiindex_dataframe( - data: list[dict], - list_key: str - ) -> pd.DataFrame: - """ - Create MultiIndex pandas DataFrame from a list of nested dicts - - Args: - data: list of nested dicts - list_key: key in dict that contains list of dicts - - Returns: - dict of pandas DataFrame - """ - flattened_data = {} - - # Flatten nested dicts - for symbol_data in data: - flattened_dict = {} - for outer_key, outer_value in symbol_data.items(): - if isinstance(outer_value, list): - for exchange in outer_value: - ex = exchange["exchangeName"] - for inner_key, value in exchange.items(): - flattened_dict[(outer_key, ex, inner_key)] = value - else: - flattened_dict[outer_key] = outer_value - - # Remove non-tuple keys - remove_keys = [] - for key in list(flattened_dict.keys()): - if not isinstance(key, tuple): - remove_keys.append(key) - - for k in remove_keys: - flattened_dict.pop(k, None) - - df = pd.DataFrame.from_dict(flattened_dict, orient="index") - df.index = pd.MultiIndex.from_tuples(df.index) - - flattened_data[symbol_data[list_key]] = df - - return pd.concat(flattened_data, axis=1) - - @staticmethod - def _flatten_dictionary(data: dict) -> dict: - flattened_dict = {} - - for outer_key, outer_value in data.items(): - if isinstance(outer_value, dict): - for inner_key, inner_value in outer_value.items(): - if isinstance(inner_value, list): - flattened_dict[(outer_key, inner_key)] = inner_value - else: - flattened_dict[inner_key] = inner_value - else: - flattened_dict[(outer_key, 0)] = outer_value - - return flattened_dict - @staticmethod def _check_for_errors(response: dict) -> None: """ Check for errors in response """ + if not response.get("success", True): + code, msg = response.get("code", "0"), response.get("msg", "Unknown error") + if code == "10004": # Rate limit exceeded + raise RateLimitExceededError(msg) + raise CoinglassRequestError(code=code, msg=msg) - # Handle case where unable to communicate with API - if "success" not in response: - raise CoinglassAPIError( - status=response["status"], - err=response["error"] - ) - - # Handle case where API response is unsuccessful - if not response["success"]: - code, msg = int(response["code"]), response["msg"] - match code: - case 50001: - raise RateLimitExceededError() - case _: - raise CoinglassRequestError(code=code, msg=msg) - - # Handle case where API returns no data - if "data" not in response: + if "data" not in response or not response["data"]: raise NoDataReturnedError() - def perpetual_market(self, symbol: str) -> pd.DataFrame: - response = self._get( - endpoint="perpetual_market", - params={"symbol": symbol} - ) - self._check_for_errors(response) - data = response["data"][symbol] - return self._create_dataframe(data) - - def futures_market(self, symbol: str) -> pd.DataFrame: + def futures_markets(self, symbol: str) -> pd.DataFrame: response = self._get( - endpoint="futures_market", + endpoint="futures/coins-markets", params={"symbol": symbol} ) self._check_for_errors(response) - data = response["data"][symbol] - return self._create_dataframe(data) + return self._create_dataframe(response["data"]) - def funding_rate(self) -> pd.DataFrame: + def funding_rate_history(self, symbol: str, interval: str, limit: int = 200) -> pd.DataFrame: response = self._get( - endpoint="funding", + endpoint="futures/fr-ohlc-history", + params={"symbol": symbol, "interval": interval, "limit": limit} ) self._check_for_errors(response) - data = response["data"] - return self._create_multiindex_dataframe(data, list_key="symbol") + return self._create_dataframe(response["data"], time_col="t") - def funding_usd_history(self, symbol: str, time_type: str) -> list[dict]: - """ - Get funding history in USD for a coin - - Args: - symbol: Coin symbol (e.g. BTC) - time_type: Time type (e.g. m1, m5, h8) - - Returns: - List of dicts - """ + def open_interest_history(self, symbol: str, interval: str, limit: int = 200) -> pd.DataFrame: response = self._get( - endpoint="funding_usd_history", - params={"symbol": symbol, "time_type": time_type} + endpoint="futures/oi-ohlc-history", + params={"symbol": symbol, "interval": interval, "limit": limit} ) self._check_for_errors(response) - data = response["data"] - return data - - def funding_coin_history(self, symbol: str, time_type: str) -> list[dict]: - """ - Get funding history in coin for a coin - - Args: - symbol: Coin symbol (e.g. BTC) - time_type: Time type (e.g. m1, m5, h8) + return self._create_dataframe(response["data"], time_col="t") - Returns: - List of dicts - """ + def liquidation_history(self, symbol: str, interval: str, limit: int = 200) -> pd.DataFrame: response = self._get( - endpoint="funding_coin_history", - params={"symbol": symbol, "time_type": time_type} + endpoint="futures/aggregated-liquidation-history", + params={"symbol": symbol, "interval": interval, "limit": limit} ) self._check_for_errors(response) - data = response["data"] - return data + return self._create_dataframe(response["data"], time_col="t") - def open_interest(self, symbol: str) -> pd.DataFrame: + def long_short_ratio_history(self, symbol: str, interval: str, limit: int = 200) -> pd.DataFrame: response = self._get( - endpoint="open_interest", - params={"symbol": symbol} + endpoint="futures/global-longshort-account-ratio", + params={"symbol": symbol, "interval": interval, "limit": limit} ) self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) - - def open_interest_history( - self, - symbol: str, - time_type: str, - currency: str - ) -> pd.DataFrame: - """ - Get open interest history + return self._create_dataframe(response["data"], time_col="t") - Args: - symbol: Coin symbol (e.g. BTC) - time_type: Time type (e.g. m1, m5, h8, all) - currency: Currency (e.g. USD or symbol) - - Returns: - pandas DataFrame - """ + def options_info(self, symbol: str) -> pd.DataFrame: response = self._get( - endpoint="open_interest_history", - params={"symbol": symbol, "time_type": time_type, "currency": currency} - ) - self._check_for_errors(response) - data = response["data"] - - flattened_dict = {} - - for k, v in data.items(): - if isinstance(v, dict): - for outer_key, outer_value in v.items(): - if isinstance(outer_value, list): - flattened_dict[(k, outer_key)] = outer_value - else: - flattened_dict[outer_key] = outer_value - else: - flattened_dict[(k, 0)] = v - - df = pd.DataFrame(flattened_dict) - df["time"] = pd.to_datetime(df["dateList"][0], unit="ms") - df.drop(columns=["dateList"], inplace=True) - df.set_index("time", inplace=True, drop=True) - return df - - def option(self, symbol: str) -> pd.DataFrame: - response = self._get( - endpoint="option", + endpoint="options/info", params={"symbol": symbol} ) self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) - - def option_history(self, symbol: str, currency: str) -> pd.DataFrame: - """ - Get option history - - Args: - symbol: Coin symbol (e.g. BTC) - currency: Currency (e.g. USD or symbol) - - Returns: - pandas DataFrame - """ - response = self._get( - endpoint="option_history", - params={"symbol": symbol, "currency": currency} - ) - self._check_for_errors(response) - data = response["data"] - df = pd.DataFrame(self._flatten_dictionary(data[0])) - df["time"] = pd.to_datetime(df["dateList"][0], unit="ms") - df.drop(columns=["dateList"], inplace=True, level=0) - df.set_index("time", inplace=True, drop=True) - return df - - def option_vol_history(self, symbol: str, currency: str) -> pd.DataFrame: - response = self._get( - endpoint="option/vol/history", - params={"symbol": symbol, "currency": currency} - ) - self._check_for_errors(response) - data = response["data"] - df = pd.DataFrame(self._flatten_dictionary(data)) - df["time"] = pd.to_datetime(df["dateList"][0], unit="ms") - df.drop(columns=["dateList"], inplace=True, level=0) - df.set_index("time", inplace=True, drop=True) - return df - - def top_liquidations(self, time_type: str) -> pd.DataFrame: - """ - Get top liquidations - - Args: - time_type: Time type (e.g. h1, h4, h12, h24) - - Returns: - pandas DataFrame - """ - response = self._get( - endpoint="liquidation_top", - params={"time_type": time_type} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) - - def liquidation_map(self, symbol: str, interval: str) -> dict: - response = self._get( - endpoint="liqMap", - params={"symbol": symbol, "interval": interval} - ) - self._check_for_errors(response) - data = response["data"] - return data - - def liquidation_info(self, symbol: str, time_type: str) -> dict: - response = self._get( - endpoint="liquidation_info", - params={"symbol": symbol, "time_type": time_type} - ) - self._check_for_errors(response) - data = response["data"] - return data - - def liquidation_order( - self, - ex_name: str, - coin: str, - vol_usd: str, - start_time: int, - end_time: int - ) -> dict: - response = self._get( - endpoint="liqMap", - params={"ex_name": ex_name, "coin": coin, "vol_usd": vol_usd, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return data - - def exchange_liquidations(self, symbol: str, time_type: str) -> pd.DataFrame: - response = self._get( - endpoint="liquidation_ex", - params={"symbol": symbol, "time_type": time_type} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) - - def liquidations_history(self, symbol: str, time_type: str) -> pd.DataFrame: - response = self._get( - endpoint="liquidation_history", - params={"symbol": symbol, "time_type": time_type} - ) - self._check_for_errors(response) - data = response["data"] - # TODO: Improve formatting - return self._create_multiindex_dataframe(data, list_key="createTime") - - def exchange_long_short_ratio(self, symbol: str, time_type: str) -> pd.DataFrame: - response = self._get( - endpoint="long_short", - params={"symbol": symbol, "time_type": time_type} - ) - self._check_for_errors(response) - data = response["data"] - # TODO: Improve formatting - return self._create_multiindex_dataframe(data, list_key="symbol") + return self._create_dataframe(response["data"]) - def long_short_ratio_history(self, symbol: str, time_type: str) -> pd.DataFrame: + def options_exchange_oi_history(self, symbol: str, exchange: str, limit: int = 200) -> pd.DataFrame: response = self._get( - endpoint="long_short_history", - params={"symbol": symbol, "time_type": time_type} + endpoint="options/exchange-open-interest-history", + params={"symbol": symbol, "exchangeName": exchange, "limit": limit} ) self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="dateList") + return self._create_dataframe(response["data"], time_col="createTime") - def futures_coins_markets(self) -> pd.DataFrame: + def exchange_balance_history(self, exchange: str, asset: str) -> pd.DataFrame: response = self._get( - endpoint="futures_coins_markets", - params={} + endpoint="on-chain/exchange-balance-chart", + params={"exchangeName": exchange, "assetName": asset} ) self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) + return self._create_dataframe(response["data"], time_col="createTime") - def futures_coins_price_change(self) -> pd.DataFrame: + def fear_and_greed_index(self) -> pd.DataFrame: response = self._get( - endpoint="futures_coins_price_change", - params={} + endpoint="indic/crypto-fear-greed-index" ) self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) - - def futures_basis_chart(self, symbol: str) -> pd.DataFrame: - response = self._get( - endpoint="futures_basis_chart", - params={"symbol": symbol} - ) - self._check_for_errors(response) - data = response["data"] - - flattened_data = {} - - # Flatten nested dicts - for symbol_data in data: - flattened_dict = {} - for outer_key, outer_value in symbol_data.items(): - if isinstance(outer_value, dict): - for inner_key, value in outer_value.items(): - flattened_dict[(outer_key, inner_key)] = value - else: - flattened_dict[outer_key] = outer_value - - # Remove non-tuple keys - remove_keys = [] - for key in list(flattened_dict.keys()): - if not isinstance(key, tuple): - remove_keys.append(key) - - for k in remove_keys: - flattened_dict.pop(k, None) - - df = pd.DataFrame.from_dict(flattened_dict, orient="index") - df.index = pd.MultiIndex.from_tuples(df.index) - - flattened_data[symbol_data["exName"]] = df - - return pd.concat(flattened_data, axis=1) - - def futures_vol(self, symbol: str, time_type: str) -> pd.DataFrame: - """ - Get futures volume - - Args: - symbol: Coin symbol (e.g. BTC, ETH, LTC, etc.) - time_type: Time type (e.g. h1, h4, h12, h24, all) - - Returns: - pandas DataFrame - """ - response = self._get( - endpoint="futures_vol", - params={"symbol": symbol, "time_type": time_type} - ) - self._check_for_errors(response) - data = response["data"] - df = pd.DataFrame(self._flatten_dictionary(data)) - df["time"] = pd.to_datetime(df["dateList"][0], unit="ms") - df.drop(columns=["dateList"], inplace=True, level=0) - df.set_index("time", inplace=True, drop=True) + df = self._create_dataframe(response["data"], time_col="t") return df - def funding( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Funding rate for a given pair - - Args: - ex: exchange to get funding rate (e.g. Binance, dYdX, etc.) - pair: pair to get funding rate (e.g. BTCUSDT on Binance, BTC-USD on dYdX) - interval: interval to get funding rate (e.g. m1, m5, m15, m30, h1, h4, etc.) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with funding rate - """ - response = self._get( - endpoint="indicator/funding", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def funding_ohlc( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Funding rate in OHLC format for an exchange pair - - Args: - ex: exchange to get funding rate (e.g. Binance, dYdX, etc.) - pair: pair to get funding rate (e.g. BTCUSDT on Binance, BTC-USD on dYdX) - interval: interval to get funding rate (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with funding rate in OHLC format for an exchange pair - """ - response = self._get( - endpoint="indicator/funding_ohlc", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="t") - - def funding_average( - self, - symbol: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Average funding rate for a symbol - - Args: - symbol: symbol to get funding rate for - interval: interval to get funding rate (e.g. m1, m5, m15, m30, h1, h4, etc.) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with funding rate - """ - response = self._get( - endpoint="indicator/funding_avg", - params={"symbol": symbol, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def open_interest_ohlc( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Open interest in OHLC format for an exchange pair - - Args: - ex: exchange to get OI for (e.g. Binance, dYdX, etc.) - pair: pair to get OI for (e.g. BTCUSDT on Binance, BTC-USD on dYdX, etc.) - interval: interval to get OI for (e.g. m1, m5, m15, m30, h1, h4, etc.) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with open interest in OHLC format for an exchange pair - """ - response = self._get( - endpoint="indicator/open_interest_ohlc", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="t") - - def open_interest_aggregated_ohlc( - self, - symbol: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Aggregated open interest in OHLC format for a symbol - - Args: - symbol: symbol to get OI for - interval: interval to get OI for (e.g. m1, m5, m15, m30, h1, h4, etc.) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with aggregated open interest in OHLC format - """ - response = self._get( - endpoint="indicator/open_interest_aggregated_ohlc", - params={"symbol": symbol, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="t") - - def liquidation_symbol( - self, - symbol: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Liquidation data for a symbol - - Args: - symbol: symbol to get liquidation data for - interval: interval to get liquidation data (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with liquidation data - """ - response = self._get( - endpoint="indicator/liquidation_symbol", - params={"symbol": symbol, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def liquidation_pair( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Liquidation data for an exchange pair - - Args: - ex: exchange to get liquidation data for (e.g. Binance, dYdX, etc.) - pair: pair to get liquidation data (e.g. BTCUSDT on Binance,BTC-USD on dYdX) - interval: interval to get liquidation data (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with liquidation data for an exchange pair - """ - response = self._get( - endpoint="indicator/liquidation_pair", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="t") - - def long_short_accounts( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Long/short ratio for an exchange pair - - Args: - ex: exchange to get liquidation data for (e.g. Binance, dYdX, etc.) - pair: pair to get liquidation data (e.g. BTCUSDT on Binance,BTC-USD on dYdX) - interval: interval to get liquidation data (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with long/short ratio for an exchange pair - """ - response = self._get( - endpoint="indicator/long_short_accounts", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def long_short_symbol( - self, - symbol: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Long/short ratio for a symbol - - Args: - symbol: symbol to get long/short ratio for - interval: interval to get long/short ratio (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with long/short ratio - """ - response = self._get( - endpoint="indicator/long_short_symbol", - params={"symbol": symbol, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="t") - - def top_long_short_account_ratio( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Top accounts long/short ratio for an exchange pair - - Args: - ex: exchange to get liquidation data for (e.g. Binance, dYdX, etc.) - pair: pair to get liquidation data (e.g. BTCUSDT on Binance,BTC-USD on dYdX) - interval: interval to get liquidation data (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with top accounts long/short ratio for an exchange pair - """ - response = self._get( - endpoint="indicator/top_long_short_account_ratio", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def top_long_short_position_ratio( - self, - ex: str, - pair: str, - interval: str, - limit: int = 500, - start_time: Optional[int] = None, - end_time: Optional[int] = None - ) -> pd.DataFrame: - """ - Top positions long/short ratio for an exchange pair - - Args: - ex: exchange to get liquidation data for (e.g. Binance, dYdX, etc.) - pair: pair to get liquidation data (e.g. BTCUSDT on Binance,BTC-USD on dYdX) - interval: interval to get liquidation data (e.g. m1, m5, m15, m30, h1, h4) - limit: number of data points to return (default: 500) - start_time: start time in milliseconds - end_time: end time in milliseconds - - Returns: - pandas DataFrame with top positions long/short ratio for an exchange pair - """ - response = self._get( - endpoint="indicator/top_long_short_position_ratio", - params={"ex": ex, "pair": pair, "interval": interval, "limit": limit, - "start_time": start_time, "end_time": end_time} - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def bitcoin_bubble_index(self) -> pd.DataFrame: - response = self._get( - endpoint="index/bitcoin_bubble_index", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="time", unit=None) - - def ahr999(self) -> pd.DataFrame: - response = self._get( - endpoint="index/ahr999", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="date", unit=None) - - def tow_year_ma_multiplier(self) -> pd.DataFrame: - response = self._get( - endpoint="index/tow_year_MA_multiplier", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def tow_hundred_week_moving_avg_heatmap(self) -> pd.DataFrame: - response = self._get( - endpoint="index/tow_hundred_week_moving_avg_heatmap", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def puell_multiple(self) -> pd.DataFrame: - response = self._get( - endpoint="index/puell_multiple", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def stock_flow(self) -> pd.DataFrame: - response = self._get( - endpoint="index/stock_flow", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime", unit=None) - - def pi(self) -> pd.DataFrame: - response = self._get( - endpoint="index/pi", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime", - cast_objects_to_numeric=True) - - def golden_ratio_multiplier(self) -> pd.DataFrame: - response = self._get( - endpoint="index/golden_ratio_multiplier", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime", - cast_objects_to_numeric=True) - - def bitcoin_profitable_days(self) -> pd.DataFrame: - response = self._get( - endpoint="index/bitcoin_profitable_days", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="createTime") - - def log_log_regression(self) -> pd.DataFrame: - response = self._get( - endpoint="index/log_log_regression", - ) - self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data) - - def grayscale_market_history(self) -> pd.DataFrame: + def bitcoin_rainbow_chart(self) -> pd.DataFrame: response = self._get( - endpoint="index/grayscale_market_history", + endpoint="indic/bitcoin-rainbow-chart" ) self._check_for_errors(response) - data = response["data"] - return self._create_dataframe(data, time_col="dateList") + df = self._create_dataframe(response["data"], time_col="t") + return df \ No newline at end of file diff --git a/coinglass_api/exceptions.py b/coinglass_api/exceptions.py index a90035c..befa3af 100644 --- a/coinglass_api/exceptions.py +++ b/coinglass_api/exceptions.py @@ -1,14 +1,3 @@ -class CoinglassAPIError(Exception): - """ Generic exception for API communication """ - - def __init__(self, status: int, err: str): - self.status = status - self.err = err - - def __str__(self): - return f"(status={self.status}) {self.err}" - - class CoinglassRequestError(Exception): """ Generic exception for API requests """ @@ -23,16 +12,16 @@ def __str__(self): class RateLimitExceededError(CoinglassRequestError): """ Raised when API rate limit is exceeded """ - def __init__(self): - super().__init__(code=50001, msg="") + def __init__(self, msg: str): + super().__init__(code=10004, msg=msg) -class NoDataReturnedError(CoinglassRequestError): +class NoDataReturnedError(Exception): """ Raised when no data is returned from API """ def __init__(self): - super().__init__(code=0, msg="API request returned no data") + super().__init__("API request returned no data") class CoinglassParameterWarning(Warning): - """ Warning for (potentially) invalid parameters """ + """ Warning for (potentially) invalid parameters """ \ No newline at end of file diff --git a/coinglass_api/parameters.py b/coinglass_api/parameters.py deleted file mode 100644 index f0bc11e..0000000 --- a/coinglass_api/parameters.py +++ /dev/null @@ -1,56 +0,0 @@ -import warnings - -from .exceptions import CoinglassParameterWarning - - -class CoinglassParameterValidation: - def __init__(self): - self._exchanges: list[str] = [ - 'Binance', 'OKX', 'dYdX', 'Bitget', 'Bybit', 'BingX', 'Bitmex', 'Bitfinex', - 'Deribit', 'CoinEx', 'Kraken', 'Huobi' - ] - - self._time_types: list[str] = [ - 'h1', 'h2', 'h4', 'h6', 'h8', 'h12', 'h24', 'm1', 'm3', 'm5', 'm15', 'm30', - '1d', '7d' - ] - - def add_exchange(self, exchange: str): - self._exchanges.append(exchange) - - def add_time_type(self, time_type: str): - self._time_types.append(time_type) - - def get_exchanges(self) -> list[str]: - """ Returns list of exchanges """ - return self._exchanges - - def get_time_types(self) -> list[str]: - """ Returns list of time types """ - return self._time_types - - def _validate_exchange(self, exchange: str): - if exchange not in self._exchanges: - warnings.warn( - f"'{exchange}' not in exchange list: {self._exchanges}", - CoinglassParameterWarning, - stacklevel=2 - ) - - def _validate_time_type(self, time_type: str): - if time_type not in self._time_types: - warnings.warn( - f"'{time_type}' not in time type list: {self._time_types}", - CoinglassParameterWarning, - stacklevel=2 - ) - - def validate_params(self, params: dict): - if "ex" in params: - self._validate_exchange(params["ex"]) - elif "ex_name" in params: - self._validate_exchange(params["ex_name"]) - if "time_type" in params: - self._validate_time_type(params["time_type"]) - elif "interval" in params: - self._validate_time_type(params["interval"]) diff --git a/poetry.lock b/poetry.lock index b4f729e..f96e8ff 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. 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"1a2d4e9573e85ec7a5e1f9d1d9e86db12c9f3b3bb268851d17088633a4ccf8b0" diff --git a/pyproject.toml b/pyproject.toml index 552e481..f6c2ef6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -26,6 +26,7 @@ ruff-lsp = "^0.0.39" [tool.poetry.group.test.dependencies] coverage = "^7.2.5" +pytest = "^8.0.0" [build-system] requires = ["poetry-core"] diff --git a/tests/test_api.py b/tests/test_api.py index 690c221..dffb407 100644 --- a/tests/test_api.py +++ b/tests/test_api.py @@ -1,113 +1,163 @@ -import os -from unittest import TestCase - -from coinglass_api import CoinglassAPI, CoinglassRequestError - - -class TestAPI(TestCase): - def setUp(self) -> None: - self.cg = CoinglassAPI(coinglass_secret=os.getenv("COINGLASS_SECRET")) - - def tearDown(self) -> None: - self.cg._session.close() - - def test_perpetual_market(self) -> None: - btc_perp = self.cg.perpetual_market(symbol="BTC") - self.assertIn("openInterest", btc_perp.columns) - self.assertIn("fundingRate", btc_perp.columns) - self.assertIn("totalVolUsd", btc_perp.columns) - - def test_futures_markets(self) -> None: - btc_futs = self.cg.futures_market(symbol="BTC") - self.assertIn("longRate", btc_futs.columns) - self.assertIn("shortRate", btc_futs.columns) - self.assertIn("openInterestAmount", btc_futs.columns) - - def test_open_interest(self) -> None: - btc_oi = self.cg.open_interest(symbol="BTC") - self.assertIn("openInterest", btc_oi.columns) - self.assertIn("openInterestAmountByStableCoinMargin", btc_oi.columns) - self.assertIn("h4OIChangePercent", btc_oi.columns) - - def test_option(self): - btc_option = self.cg.option(symbol="BTC") - self.assertIn("openInterest", btc_option.columns) - self.assertIn("rate", btc_option.columns) - self.assertIn("h24Change", btc_option.columns) - - def test_option_history(self): - btc_option = self.cg.option_history(symbol="BTC", currency="USD") - self.assertIn(('dataMap', 'Deribit'), btc_option.columns) - self.assertIn(('dataMap', 'CME'), btc_option.columns) - self.assertIn(('dataMap', 'OKX'), btc_option.columns) - - def test_option_vol_history(self) -> None: - btc_option = self.cg.option_vol_history(symbol="BTC", currency="USD") - self.assertIn(('dataMap', 'Deribit'), btc_option.columns) - self.assertIn(('dataMap', 'CME'), btc_option.columns) - self.assertIn(('dataMap', 'OKX'), btc_option.columns) - - def test_top_liquidations(self) -> None: - btc_liquidations = self.cg.top_liquidations(time_type="h1") - self.assertIn("number", btc_liquidations.columns) - self.assertIn("amount", btc_liquidations.columns) - self.assertIn("longVolUsd", btc_liquidations.columns) - self.assertIn("shortVolUsd", btc_liquidations.columns) - - def test_liquidation_info(self) -> None: - btc_liquidations_info = self.cg.liquidation_info(symbol="BTC", time_type="h1") - self.assertIn("h1TotalVolUsd", btc_liquidations_info) - self.assertIn("h1Amount", btc_liquidations_info) - self.assertIn("h24TotalVolUsd", btc_liquidations_info) - self.assertIn("h24TotalVolUsd", btc_liquidations_info) - - def test_exchange_liquidations(self) -> None: - btc_liquidations = self.cg.exchange_liquidations(symbol="BTC", time_type="h1") - self.assertIn("shortRate", btc_liquidations.columns) - self.assertIn("longRate", btc_liquidations.columns) - self.assertIn("exchangeName", btc_liquidations.columns) - - def test_liquidations_history(self) -> None: - btc_liquidations = self.cg.liquidations_history(symbol="BTC", time_type="h1") - self.assertIn(('list', 'Binance', 'exchangeName'), btc_liquidations.index) - self.assertIn(('list', 'OKX', 'sellQty'), btc_liquidations.index) - - def test_exchange_long_short_ratio(self) -> None: - btc_long_short_ratio = self.cg.exchange_long_short_ratio( - symbol="BTC", time_type="h1" - ) - self.assertIn( - ('list', 'Binance', 'exchangeName'), - btc_long_short_ratio.index - ) - self.assertIn( - ('list', 'Kraken', 'shortVolUsd'), - btc_long_short_ratio.index - ) - - def test_long_short_ratio_history(self) -> None: - btc_long_short_ratio = self.cg.long_short_ratio_history( - symbol="BTC", time_type="h1" - ) - self.assertIn("sellQty", btc_long_short_ratio.columns) - self.assertIn("longRateList", btc_long_short_ratio.columns) - - def test_futures_coins_markets(self) -> None: - futures_coins = self.cg.futures_coins_markets() - self.assertIn("exchangeName", futures_coins.columns) - self.assertIn("avgFundingRate", futures_coins.columns) - self.assertIn("avgFundingRateByVol", futures_coins.columns) - - def test_futures_coins_price_change(self) -> None: +import unittest +from unittest.mock import patch, MagicMock +import pandas as pd +from coinglass_api.api import CoinglassAPI +from coinglass_api.exceptions import CoinglassRequestError, NoDataReturnedError, RateLimitExceededError + + +class TestCoinglassAPI(unittest.TestCase): + def setUp(self): + self.api = CoinglassAPI(api_key="test_key") + + @patch('requests.Session.request') + def test_futures_markets_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"symbol": "BTC", "price": 50000}]} + mock_request.return_value = mock_response + + df = self.api.futures_markets(symbol="BTC") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("symbol", df.columns) + + @patch('requests.Session.request') + def test_funding_rate_history_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"r": 0.01, "t": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.funding_rate_history(symbol="BTC", interval="h8") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("r", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_open_interest_history_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"oi": 1000, "t": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.open_interest_history(symbol="BTC", interval="h8") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("oi", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_liquidation_history_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"v": 1000, "t": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.liquidation_history(symbol="BTC", interval="h8") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("v", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_long_short_ratio_history_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"lsr": 1.5, "t": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.long_short_ratio_history(symbol="BTC", interval="h8") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("lsr", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_options_info_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"oi": 1000, "vol": 500}]} + mock_request.return_value = mock_response + + df = self.api.options_info(symbol="BTC") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("oi", df.columns) + + @patch('requests.Session.request') + def test_options_exchange_oi_history_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"oi": 1000, "createTime": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.options_exchange_oi_history(symbol="BTC", exchange="Deribit") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("oi", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_exchange_balance_history_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"balance": 1000, "createTime": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.exchange_balance_history(exchange="Binance", asset="BTC") + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("balance", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_fear_and_greed_index_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"value": 50, "t": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.fear_and_greed_index() + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("value", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_bitcoin_rainbow_chart_success(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": [{"value": 50000, "t": 1622548800000}]} + mock_request.return_value = mock_response + + df = self.api.bitcoin_rainbow_chart() + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) + self.assertIn("value", df.columns) + self.assertEqual(df.index.name, "time") + + @patch('requests.Session.request') + def test_no_data_returned(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": True, "data": []} + mock_request.return_value = mock_response + + with self.assertRaises(NoDataReturnedError): + self.api.futures_markets(symbol="BTC") + + @patch('requests.Session.request') + def test_rate_limit_exceeded(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": False, "code": "10004", "msg": "Rate limit exceeded"} + mock_request.return_value = mock_response + + with self.assertRaises(RateLimitExceededError): + self.api.futures_markets(symbol="BTC") + + @patch('requests.Session.request') + def test_coinglass_request_error(self, mock_request): + mock_response = MagicMock() + mock_response.json.return_value = {"success": False, "code": "10001", "msg": "Invalid API key"} + mock_request.return_value = mock_response + with self.assertRaises(CoinglassRequestError): - self.cg.futures_coins_price_change() + self.api.futures_markets(symbol="BTC") + + def test_invalid_parameter_type(self): + with self.assertRaises(TypeError): + self.api.futures_markets(symbol={"wrong": "type"}) - def test_futures_basis_chart(self) -> None: - futures_basis = self.cg.futures_basis_chart(symbol="BTC") - self.assertIn(('PERPETUAL', 'name'), futures_basis.index) - self.assertIn(('QUARTER', 'name'), futures_basis.index) - def test_futures_vol(self) -> None: - futures_vol = self.cg.futures_vol(symbol="BTC", time_type="h1") - self.assertIn(('dataMap', 'Binance'), futures_vol.columns) - self.assertIn(('dataMap', 'Deribit'), futures_vol.columns) +if __name__ == '__main__': + unittest.main() \ No newline at end of file diff --git a/tests/test_exceptions.py b/tests/test_exceptions.py index 6ae3ad0..4bda228 100644 --- a/tests/test_exceptions.py +++ b/tests/test_exceptions.py @@ -1,69 +1,25 @@ -import os -from unittest import TestCase +import unittest +from coinglass_api.exceptions import CoinglassRequestError, RateLimitExceededError, NoDataReturnedError -from coinglass_api import ( - CoinglassAPI, - CoinglassParameterWarning, - CoinglassRequestError, - NoDataReturnedError, -) +class TestExceptions(unittest.TestCase): -class TestExceptions(TestCase): - def setUp(self) -> None: - self.cg = CoinglassAPI(coinglass_secret=os.getenv("COINGLASS_SECRET")) + def test_coinglass_request_error(self): + error = CoinglassRequestError(code=10001, msg="Invalid request") + self.assertEqual(error.code, 10001) + self.assertEqual(error.msg, "Invalid request") + self.assertEqual(str(error), "(code=10001) Invalid request") - def tearDown(self) -> None: - self.cg._session.close() + def test_rate_limit_exceeded_error(self): + error = RateLimitExceededError("Rate limit exceeded for this endpoint") + self.assertEqual(error.code, 10004) + self.assertEqual(error.msg, "Rate limit exceeded for this endpoint") + self.assertEqual(str(error), "(code=10004) Rate limit exceeded for this endpoint") - def test_open_interest_history(self) -> None: - with self.assertRaises(CoinglassRequestError): - self.cg.open_interest_history(symbol="BTC", time_type="m1", currency="USD") + def test_no_data_returned_error(self): + error = NoDataReturnedError() + self.assertEqual(str(error), "API request returned no data") - def test_funding_usd_history(self) -> None: - with self.assertRaises(CoinglassRequestError): - self.cg.funding_usd_history(symbol="BTC", time_type="m1") - def test_funding_coin_history(self) -> None: - with self.assertRaises(CoinglassRequestError): - self.cg.funding_coin_history(symbol="BTC", time_type="m1") - - def test_liquidation_map(self) -> None: - with self.assertRaises(CoinglassRequestError): - self.cg.liquidation_map(symbol="Binance_BTCUSDT", interval="1d") - - def test_liquidation_order(self) -> None: - with self.assertRaises(CoinglassRequestError): - self.cg.liquidation_order(ex_name="Binance", coin="BTC", vol_usd="1000", - start_time=1693323421369, end_time=1693333421369) - - def test_no_data_returned_exception(self) -> None: - with self.assertRaises(NoDataReturnedError): - self.cg.futures_market(symbol="ZEC") - - def test_warning_message(self) -> None: - with ( - self.assertWarns(CoinglassParameterWarning), - self.assertRaises(CoinglassRequestError) - ): - self.cg.open_interest_ohlc( - ex="NotAnExchange", pair="BTCUSDT", interval="h1" - ) - - def test_exchanges(self) -> None: - exchanges = self.cg.get_exchanges() - self.assertIn("Deribit", exchanges) - self.assertIn("OKX", exchanges) - - self.cg.add_exchange("TestExchange") - exchanges = self.cg.get_exchanges() - self.assertIn("TestExchange", exchanges) - - def test_time_types(self) -> None: - time_types = self.cg.get_time_types() - self.assertIn("h1", time_types) - self.assertIn("m1", time_types) - - self.cg.add_time_type("m100") - time_types = self.cg.get_time_types() - self.assertIn("m100", time_types) +if __name__ == '__main__': + unittest.main() \ No newline at end of file diff --git a/tests/test_index_endpoint.py b/tests/test_index_endpoint.py deleted file mode 100644 index 20ddf43..0000000 --- a/tests/test_index_endpoint.py +++ /dev/null @@ -1,64 +0,0 @@ -import os -from unittest import TestCase - -import pandas as pd - -from coinglass_api import CoinglassAPI - - -class TestIndexEndpoint(TestCase): - def setUp(self) -> None: - self.cg = CoinglassAPI(coinglass_secret=os.getenv("COINGLASS_SECRET")) - - def tearDown(self) -> None: - self.cg._session.close() - - def test_bitcoin_bubble_index(self) -> None: - bbi = self.cg.bitcoin_bubble_index() - self.assertIn("index", bbi.columns) - - def test_ahr999(self) -> None: - ahr999 = self.cg.ahr999() - self.assertIn("ahr999", ahr999.columns) - - def test_tow_year_ma_multiplier(self) -> None: - tymm = self.cg.tow_year_ma_multiplier() - self.assertIn("mA730Mu5", tymm.columns) - self.assertIn("mA730", tymm.columns) - - def test_tow_hundred_week_moving_avg_heatmap(self) -> None: - thwmah = self.cg.tow_hundred_week_moving_avg_heatmap() - self.assertIn("mA1440", thwmah.columns) - - def test_puell_multiple(self) -> None: - pm = self.cg.puell_multiple() - self.assertIn("puellMultiple", pm.columns) - - def test_stock_flow(self) -> None: - sf = self.cg.stock_flow() - self.assertIn("stockFlow365dAverage", sf.columns) - self.assertIn("nextHalving", sf.columns) - - def test_pi(self) -> None: - pi = self.cg.pi() - self.assertIn("ma350Mu2", pi.columns) - self.assertIn("ma110", pi.columns) - - def test_golden_ratio_multiplier(self) -> None: - grm = self.cg.golden_ratio_multiplier() - self.assertIn("3LowBullHigh", grm.columns) - self.assertIn("x8", grm.columns) - self.assertIn("x21", grm.columns) - - def test_bitcoin_profitable_days(self) -> None: - bpd = self.cg.bitcoin_profitable_days() - self.assertIn("side", bpd.columns) - - def test_log_log_regression(self) -> None: - llr = self.cg.log_log_regression() - self.assertTrue(isinstance(llr.columns, pd.RangeIndex)) - - def test_grayscale_market_history(self) -> None: - gmh = self.cg.grayscale_market_history() - self.assertIn("markerPriceList", gmh.columns) - self.assertIn("premiumRateList", gmh.columns) diff --git a/tests/test_indicator_endpoint.py b/tests/test_indicator_endpoint.py deleted file mode 100644 index 112fe04..0000000 --- a/tests/test_indicator_endpoint.py +++ /dev/null @@ -1,102 +0,0 @@ -import os -from unittest import TestCase - -from coinglass_api import CoinglassAPI, CoinglassRequestError - - -class TestIndicatorEndpoint(TestCase): - def setUp(self) -> None: - self.cg = CoinglassAPI(coinglass_secret=os.getenv("COINGLASS_SECRET")) - - def tearDown(self) -> None: - self.cg._session.close() - - def test_funding_rate(self) -> None: - btc_fr = self.cg.funding_rate() - self.assertIn(('uMarginList', 'Binance', 'rate'), btc_fr.index) - self.assertIn(("BTC", 0), btc_fr.columns) - - def test_funding(self) -> None: - fr_btc_dydx = self.cg.funding(ex="dYdX", pair="ETH-USD", interval="h8") - self.assertEqual(fr_btc_dydx.shape[0], 500) - self.assertTrue("fundingRate" in fr_btc_dydx.columns) - - def test_funding_ohlc(self) -> None: - fr_ohlc_eth_binance = self.cg.funding_ohlc( - ex="Binance", pair="ETHUSDT", interval="h4" - ) - self.assertEqual(fr_ohlc_eth_binance.shape[0], 500) - self.assertTrue("o" in fr_ohlc_eth_binance.columns) - self.assertTrue("h" in fr_ohlc_eth_binance.columns) - self.assertTrue("l" in fr_ohlc_eth_binance.columns) - self.assertTrue("c" in fr_ohlc_eth_binance.columns) - - def test_funding_average(self) -> None: - fr_avg_eth = self.cg.funding_average(symbol="ETH", interval="h4") - self.assertEqual(fr_avg_eth.shape[0], 500) - self.assertIn("fundingRate", fr_avg_eth.columns) - - def test_open_interest_ohlc(self) -> None: - oi_ohlc_eth_binance = self.cg.open_interest_ohlc( - ex="Binance", pair="ETHUSDT", interval="h4" - ) - self.assertEqual(oi_ohlc_eth_binance.shape[0], 500) - self.assertIn("o", oi_ohlc_eth_binance.columns) - self.assertIn("h", oi_ohlc_eth_binance.columns) - self.assertIn("l", oi_ohlc_eth_binance.columns) - self.assertIn("c", oi_ohlc_eth_binance.columns) - - def test_open_interest_aggregated_ohlc(self) -> None: - oi_ohlc_eth_binance = self.cg.open_interest_aggregated_ohlc( - symbol="ETH", interval="h4" - ) - self.assertEqual(oi_ohlc_eth_binance.shape[0], 500) - self.assertIn("o", oi_ohlc_eth_binance.columns) - self.assertIn("h", oi_ohlc_eth_binance.columns) - self.assertIn("l", oi_ohlc_eth_binance.columns) - self.assertIn("c", oi_ohlc_eth_binance.columns) - - def test_liquidation_symbol(self) -> None: - liq_eth = self.cg.liquidation_symbol(symbol="ETH", interval="h4") - self.assertEqual(liq_eth.shape[0], 500) - self.assertIn("volUsd", liq_eth.columns) - self.assertIn("buyVolUsd", liq_eth.columns) - self.assertIn("sellVolUsd", liq_eth.columns) - - def test_liquidation_pair(self) -> None: - liq_eth = self.cg.liquidation_pair(ex="Binance", pair="ETHUSDT", interval="h4") - self.assertEqual(liq_eth.shape[0], 500) - self.assertIn("volUsd", liq_eth.columns) - self.assertIn("buyVolUsd", liq_eth.columns) - self.assertIn("sellVolUsd", liq_eth.columns) - - def test_long_short_accounts(self) -> None: - lsa_eth = self.cg.long_short_accounts( - ex="Binance", pair="ETHUSDT", interval="h4" - ) - self.assertEqual(lsa_eth.shape[0], 500) - self.assertIn("longRatio", lsa_eth.columns) - self.assertIn("shortRatio", lsa_eth.columns) - self.assertIn("longShortRatio", lsa_eth.columns) - - def test_long_short_symbol(self) -> None: - with self.assertRaises(CoinglassRequestError): - self.cg.long_short_symbol(symbol="ETH", interval="h4") - - def test_top_long_short_account_ratio(self) -> None: - lsa_eth = self.cg.top_long_short_account_ratio( - ex="Binance", pair="ETHUSDT", interval="h4" - ) - self.assertEqual(lsa_eth.shape[0], 500) - self.assertIn("longRatio", lsa_eth.columns) - self.assertIn("shortRatio", lsa_eth.columns) - self.assertIn("longShortRatio", lsa_eth.columns) - - def test_top_long_short_position_ratio(self) -> None: - lsa_eth = self.cg.top_long_short_position_ratio( - ex="Binance", pair="ETHUSDT", interval="h4" - ) - self.assertEqual(lsa_eth.shape[0], 500) - self.assertIn("longRatio", lsa_eth.columns) - self.assertIn("shortRatio", lsa_eth.columns) - self.assertIn("longShortRatio", lsa_eth.columns)