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28 changed files with 2088 additions and 1813 deletions
1234
poetry.lock
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1234
poetry.lock
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@ -1,6 +1,6 @@
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[tool.poetry]
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name = "pricehist"
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version = "1.4.12"
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version = "1.4.5"
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description = "Fetch and format historical price data"
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authors = ["Chris Berkhout <chris@chrisberkhout.com>"]
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license = "MIT"
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@ -14,16 +14,16 @@ include = [
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]
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[tool.poetry.dependencies]
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python = "^3.8.1"
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python = "^3.8"
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requests = "^2.25.1"
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lxml = "^5.1.0"
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lxml = "^4.6.2"
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cssselect = "^1.1.0"
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curlify = "^2.2.1"
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[tool.poetry.dev-dependencies]
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pytest = "^8.3.2"
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pytest = "^6.2.2"
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black = "^22.10.0"
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flake8 = "^7.1.0"
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flake8 = "^3.9.1"
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isort = "^5.8.0"
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responses = "^0.13.3"
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coverage = "^5.5"
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@ -1 +1 @@
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__version__ = "1.4.12"
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__version__ = "1.4.5"
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@ -1,4 +0,0 @@
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from pricehist import beanprice
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from pricehist.sources.exchangeratehost import ExchangeRateHost
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Source = beanprice.source(ExchangeRateHost())
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@ -80,7 +80,5 @@ def _cov_description(
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f"and ends {end_uncovered} day{s(end_uncovered)} earlier "
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f"than requested"
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)
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elif start_uncovered == 0 and end_uncovered == 0:
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return "as requested"
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else:
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return "which doesn't match the request"
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return "as requested"
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@ -40,7 +40,7 @@ Classes:
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import hashlib
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import logging
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from datetime import datetime, timezone
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from datetime import datetime
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from decimal import Decimal
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from importlib.resources import files
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@ -125,7 +125,7 @@ class GnuCashSQL(BaseOutput):
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.read_text()
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.format(
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version=__version__,
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timestamp=datetime.now(timezone.utc).isoformat()[:-6] + "Z",
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timestamp=datetime.utcnow().isoformat() + "Z",
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base=self._sql_str(base),
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quote=self._sql_str(quote),
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values_comment=values_comment,
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@ -51,13 +51,14 @@ class AlphaVantage(BaseSource):
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"will list all digital and physical currency symbols.\n"
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"The PAIR for stocks is the stock symbol only. The quote currency "
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f"will be determined automatically. {self._stock_symbols_message()}\n"
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"The price type 'adjclose' is only available for stocks, and "
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"requires an access key for which premium endpoints are unlocked.\n"
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"The price type 'adjclose' is only available for stocks.\n"
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"Beware that digital currencies quoted in non-USD currencies may "
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"be converted from USD data at one recent exchange rate rather "
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"than using historical rates.\n"
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"Alpha Vantage's standard API rate limit is 25 requests per day. "
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"Note that retrieving prices for one stock consumes two API calls."
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"Alpha Vantage's standard API call frequency limits is 5 calls per "
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"minute and 500 per day, so you may need to pause between successive "
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"commands. Note that retrieving prices for one stock consumes two "
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"API calls."
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)
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def _stock_symbols_message(self):
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@ -173,9 +174,9 @@ class AlphaVantage(BaseSource):
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expected_keys = ["1. symbol", "2. name", "3. type", "4. region", "8. currency"]
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if (
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type(data) is not dict
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type(data) != dict
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or "bestMatches" not in data
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or type(data["bestMatches"]) is not list
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or type(data["bestMatches"]) != list
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or not all(k in m for k in expected_keys for m in data["bestMatches"])
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):
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raise exceptions.ResponseParsingError("Unexpected content.")
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@ -185,10 +186,9 @@ class AlphaVantage(BaseSource):
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def _stock_data(self, series):
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output_quote = self._stock_currency(series.base) or "UNKNOWN"
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if series.type == "adjclose":
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function = "TIME_SERIES_DAILY_ADJUSTED"
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else:
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function = "TIME_SERIES_DAILY"
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# As of 2022-11-24 TIME_SERIES_DAILY_ADJUSTED is no longer premium, but
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# now TIME_SERIES_DAILY is. So, always use TIME_SERIES_DAILY_ADJUSTED.
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function = "TIME_SERIES_DAILY_ADJUSTED"
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params = {
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"function": function,
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@ -265,7 +265,7 @@ class AlphaVantage(BaseSource):
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self._raise_for_generic_errors(data)
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if type(data) is not dict or "Time Series FX (Daily)" not in data:
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if type(data) != dict or "Time Series FX (Daily)" not in data:
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raise exceptions.ResponseParsingError("Unexpected content.")
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normalized_data = {
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@ -306,15 +306,15 @@ class AlphaVantage(BaseSource):
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self._raise_for_generic_errors(data)
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if type(data) is not dict or "Time Series (Digital Currency Daily)" not in data:
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if type(data) != dict or "Time Series (Digital Currency Daily)" not in data:
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raise exceptions.ResponseParsingError("Unexpected content.")
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normalized_data = {
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day: {
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"open": entries["1. open"],
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"high": entries["2. high"],
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"low": entries["3. low"],
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"close": entries["4. close"],
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"open": entries[f"1a. open ({series.quote})"],
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"high": entries[f"2a. high ({series.quote})"],
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"low": entries[f"3a. low ({series.quote})"],
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"close": entries[f"4a. close ({series.quote})"],
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}
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for day, entries in reversed(
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data["Time Series (Digital Currency Daily)"].items()
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@ -334,13 +334,12 @@ class AlphaVantage(BaseSource):
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return key
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def _raise_for_generic_errors(self, data):
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if type(data) is dict:
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if "Information" in data and "daily rate limits" in data["Information"]:
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raise exceptions.RateLimit(data["Information"])
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if type(data) == dict:
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if "Note" in data and "call frequency" in data["Note"]:
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raise exceptions.RateLimit(data["Note"])
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if (
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"Information" in data
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and "unlock" in data["Information"]
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and "premium" in data["Information"]
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and "unlock all premium endpoints" in data["Information"]
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):
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msg = "You were denied access to a premium endpoint."
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raise exceptions.CredentialsError([self.API_KEY_NAME], self, msg)
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@ -2,7 +2,6 @@ import dataclasses
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import json
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from datetime import datetime, timezone
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from decimal import Decimal
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from functools import lru_cache
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import requests
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@ -33,16 +32,13 @@ class CoinMarketCap(BaseSource):
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def notes(self):
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return (
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"This source makes unoffical use of endpoints that power "
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"CoinMarketCap's public web interface.\n"
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"CoinMarketCap currency symbols are not necessarily unique. "
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"Each symbol you give will be coverted an ID by checking fiat and "
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"metals first, then crypto by CoinMarketCap rank. "
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"The symbol data is hard-coded for fiat and metals, but fetched "
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"live for crypto.\n"
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"You can directly use IDs, which can be listed via the --symbols "
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"option. For example, 'ETH/BTC' is 'id=1027/id=1'. "
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"The corresponding symbols will be used in output, when available."
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"This source makes unoffical use of endpoints that power CoinMarketCap's "
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"public web interface. The price data comes from a public equivalent of "
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"the OHLCV Historical endpoint found in CoinMarketCap's official API.\n"
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"CoinMarketCap currency symbols are not necessarily unique, so it "
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"is recommended that you use IDs, which can be listed via the "
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"--symbols option. For example, 'ETH/BTC' is 'id=1027/id=1'. The "
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"corresponding symbols will be used in output."
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)
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def symbols(self):
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@ -59,10 +55,9 @@ class CoinMarketCap(BaseSource):
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prices = []
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for item in data.get("quotes", []):
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d = item["timeOpen"][0:10]
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amount = self._amount(item["quote"], series.type)
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if amount is not None:
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prices.append(Price(d, amount))
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d = item["time_open"][0:10]
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amount = self._amount(next(iter(item["quote"].values())), series.type)
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prices.append(Price(d, amount))
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output_base, output_quote = self._output_pair(series.base, series.quote, data)
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@ -71,21 +66,21 @@ class CoinMarketCap(BaseSource):
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)
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def _data(self, series):
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url = "https://api.coinmarketcap.com/data-api/v3.1/cryptocurrency/historical"
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url = "https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical"
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params = {}
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if series.base.startswith("ID="):
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params["id"] = series.base[3:]
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else:
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params["id"] = self._id_from_symbol(series.base, series)
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params["symbol"] = series.base
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if series.quote.startswith("ID="):
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params["convertId"] = series.quote[3:]
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params["convert_id"] = series.quote[3:]
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else:
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params["convertId"] = self._id_from_symbol(series.quote, series)
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params["convert"] = series.quote
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params["timeStart"] = int(
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params["time_start"] = int(
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int(
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datetime.strptime(series.start, "%Y-%m-%d")
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.replace(tzinfo=timezone.utc)
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@ -94,14 +89,12 @@ class CoinMarketCap(BaseSource):
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- 24 * 60 * 60
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# Start one period earlier since the start is exclusive.
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)
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params["timeEnd"] = int(
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params["time_end"] = int(
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datetime.strptime(series.end, "%Y-%m-%d")
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.replace(tzinfo=timezone.utc)
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.timestamp()
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) # Don't round up since it's inclusive of the period covering the end time.
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params["interval"] = "daily"
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try:
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response = self.log_curl(requests.get(url, params=params))
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except Exception as e:
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@ -120,6 +113,26 @@ class CoinMarketCap(BaseSource):
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series.base, series.quote, self, "Bad quote ID."
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)
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elif code == 400 and 'Invalid value for \\"convert\\"' in text:
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raise exceptions.InvalidPair(
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series.base, series.quote, self, "Bad quote symbol."
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)
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elif code == 400 and "must be older than" in text:
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if series.start <= series.end:
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raise exceptions.BadResponse("The start date must be in the past.")
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else:
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raise exceptions.BadResponse(
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"The start date must preceed or match the end date."
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)
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|
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elif (
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code == 400
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and "must be a valid ISO 8601 timestamp or unix time" in text
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and series.start < "2001-09-11"
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):
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raise exceptions.BadResponse("The start date can't preceed 2001-09-11.")
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try:
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response.raise_for_status()
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except Exception as e:
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|
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@ -130,18 +143,7 @@ class CoinMarketCap(BaseSource):
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except Exception as e:
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raise exceptions.ResponseParsingError(str(e)) from e
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|
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if (
|
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"status" in parsed
|
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and "error_code" in parsed["status"]
|
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and parsed["status"]["error_code"] == "500"
|
||||
and "The system is busy" in parsed["status"]["error_message"]
|
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):
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raise exceptions.BadResponse(
|
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"The server indicated a general error. "
|
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"There may be problem with your request."
|
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)
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|
||||
if type(parsed) is not dict or "data" not in parsed:
|
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if type(parsed) != dict or "data" not in parsed:
|
||||
raise exceptions.ResponseParsingError("Unexpected content.")
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|
||||
elif len(parsed["data"]) == 0:
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@ -153,154 +155,39 @@ class CoinMarketCap(BaseSource):
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return parsed["data"]
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def _amount(self, data, type):
|
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if type in ["mid"] and data["high"] is not None and data["low"] is not None:
|
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if type in ["mid"]:
|
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high = Decimal(str(data["high"]))
|
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low = Decimal(str(data["low"]))
|
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return sum([high, low]) / 2
|
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elif type in data and data[type] is not None:
|
||||
return Decimal(str(data[type]))
|
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else:
|
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return None
|
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return Decimal(str(data[type]))
|
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|
||||
def _output_pair(self, base, quote, data):
|
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data_base = data["symbol"]
|
||||
|
||||
symbols = {i["id"]: (i["symbol"] or i["code"]) for i in self._symbol_data()}
|
||||
|
||||
data_quote = None
|
||||
if len(data["quotes"]) > 0:
|
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data_quote = symbols[int(data["quotes"][0]["quote"]["name"])]
|
||||
data_quote = next(iter(data["quotes"][0]["quote"].keys()))
|
||||
|
||||
lookup_quote = None
|
||||
if quote.startswith("ID="):
|
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symbols = {i["id"]: (i["symbol"] or i["code"]) for i in self._symbol_data()}
|
||||
lookup_quote = symbols[int(quote[3:])]
|
||||
|
||||
output_base = data_base
|
||||
output_quote = data_quote or lookup_quote or quote
|
||||
output_quote = lookup_quote or data_quote or quote
|
||||
|
||||
return (output_base, output_quote)
|
||||
|
||||
def _id_from_symbol(self, symbol, series):
|
||||
for i in self._symbol_data():
|
||||
if i["symbol"] == symbol:
|
||||
return i["id"]
|
||||
raise exceptions.InvalidPair(
|
||||
series.base, series.quote, self, f"Invalid symbol '{symbol}'."
|
||||
)
|
||||
|
||||
@lru_cache(maxsize=1)
|
||||
def _symbol_data(self):
|
||||
|
||||
base_url = "https://api.coinmarketcap.com/data-api/v1/"
|
||||
base_url = "https://web-api.coinmarketcap.com/v1/"
|
||||
fiat_url = f"{base_url}fiat/map?include_metals=true"
|
||||
crypto_url = f"{base_url}cryptocurrency/map?sort=cmc_rank"
|
||||
|
||||
fiat = self._get_json_data(fiat_url)
|
||||
crypto = self._get_json_data(crypto_url)
|
||||
|
||||
# fmt: off
|
||||
fiat = [
|
||||
{"id": 2781, "symbol": "USD", "name": "United States Dollar"},
|
||||
{"id": 3526, "symbol": "ALL", "name": "Albanian Lek"},
|
||||
{"id": 3537, "symbol": "DZD", "name": "Algerian Dinar"},
|
||||
{"id": 2821, "symbol": "ARS", "name": "Argentine Peso"},
|
||||
{"id": 3527, "symbol": "AMD", "name": "Armenian Dram"},
|
||||
{"id": 2782, "symbol": "AUD", "name": "Australian Dollar"},
|
||||
{"id": 3528, "symbol": "AZN", "name": "Azerbaijani Manat"},
|
||||
{"id": 3531, "symbol": "BHD", "name": "Bahraini Dinar"},
|
||||
{"id": 3530, "symbol": "BDT", "name": "Bangladeshi Taka"},
|
||||
{"id": 3533, "symbol": "BYN", "name": "Belarusian Ruble"},
|
||||
{"id": 3532, "symbol": "BMD", "name": "Bermudan Dollar"},
|
||||
{"id": 2832, "symbol": "BOB", "name": "Bolivian Boliviano"},
|
||||
{"id": 3529, "symbol": "BAM", "name": "Bosnia-Herzegovina Convertible Mark"}, # noqa: E501
|
||||
{"id": 2783, "symbol": "BRL", "name": "Brazilian Real"},
|
||||
{"id": 2814, "symbol": "BGN", "name": "Bulgarian Lev"},
|
||||
{"id": 3549, "symbol": "KHR", "name": "Cambodian Riel"},
|
||||
{"id": 2784, "symbol": "CAD", "name": "Canadian Dollar"},
|
||||
{"id": 2786, "symbol": "CLP", "name": "Chilean Peso"},
|
||||
{"id": 2787, "symbol": "CNY", "name": "Chinese Yuan"},
|
||||
{"id": 2820, "symbol": "COP", "name": "Colombian Peso"},
|
||||
{"id": 3534, "symbol": "CRC", "name": "Costa Rican Colón"},
|
||||
{"id": 2815, "symbol": "HRK", "name": "Croatian Kuna"},
|
||||
{"id": 3535, "symbol": "CUP", "name": "Cuban Peso"},
|
||||
{"id": 2788, "symbol": "CZK", "name": "Czech Koruna"},
|
||||
{"id": 2789, "symbol": "DKK", "name": "Danish Krone"},
|
||||
{"id": 3536, "symbol": "DOP", "name": "Dominican Peso"},
|
||||
{"id": 3538, "symbol": "EGP", "name": "Egyptian Pound"},
|
||||
{"id": 2790, "symbol": "EUR", "name": "Euro"},
|
||||
{"id": 3539, "symbol": "GEL", "name": "Georgian Lari"},
|
||||
{"id": 3540, "symbol": "GHS", "name": "Ghanaian Cedi"},
|
||||
{"id": 3541, "symbol": "GTQ", "name": "Guatemalan Quetzal"},
|
||||
{"id": 3542, "symbol": "HNL", "name": "Honduran Lempira"},
|
||||
{"id": 2792, "symbol": "HKD", "name": "Hong Kong Dollar"},
|
||||
{"id": 2793, "symbol": "HUF", "name": "Hungarian Forint"},
|
||||
{"id": 2818, "symbol": "ISK", "name": "Icelandic Króna"},
|
||||
{"id": 2796, "symbol": "INR", "name": "Indian Rupee"},
|
||||
{"id": 2794, "symbol": "IDR", "name": "Indonesian Rupiah"},
|
||||
{"id": 3544, "symbol": "IRR", "name": "Iranian Rial"},
|
||||
{"id": 3543, "symbol": "IQD", "name": "Iraqi Dinar"},
|
||||
{"id": 2795, "symbol": "ILS", "name": "Israeli New Shekel"},
|
||||
{"id": 3545, "symbol": "JMD", "name": "Jamaican Dollar"},
|
||||
{"id": 2797, "symbol": "JPY", "name": "Japanese Yen"},
|
||||
{"id": 3546, "symbol": "JOD", "name": "Jordanian Dinar"},
|
||||
{"id": 3551, "symbol": "KZT", "name": "Kazakhstani Tenge"},
|
||||
{"id": 3547, "symbol": "KES", "name": "Kenyan Shilling"},
|
||||
{"id": 3550, "symbol": "KWD", "name": "Kuwaiti Dinar"},
|
||||
{"id": 3548, "symbol": "KGS", "name": "Kyrgystani Som"},
|
||||
{"id": 3552, "symbol": "LBP", "name": "Lebanese Pound"},
|
||||
{"id": 3556, "symbol": "MKD", "name": "Macedonian Denar"},
|
||||
{"id": 2800, "symbol": "MYR", "name": "Malaysian Ringgit"},
|
||||
{"id": 2816, "symbol": "MUR", "name": "Mauritian Rupee"},
|
||||
{"id": 2799, "symbol": "MXN", "name": "Mexican Peso"},
|
||||
{"id": 3555, "symbol": "MDL", "name": "Moldovan Leu"},
|
||||
{"id": 3558, "symbol": "MNT", "name": "Mongolian Tugrik"},
|
||||
{"id": 3554, "symbol": "MAD", "name": "Moroccan Dirham"},
|
||||
{"id": 3557, "symbol": "MMK", "name": "Myanma Kyat"},
|
||||
{"id": 3559, "symbol": "NAD", "name": "Namibian Dollar"},
|
||||
{"id": 3561, "symbol": "NPR", "name": "Nepalese Rupee"},
|
||||
{"id": 2811, "symbol": "TWD", "name": "New Taiwan Dollar"},
|
||||
{"id": 2802, "symbol": "NZD", "name": "New Zealand Dollar"},
|
||||
{"id": 3560, "symbol": "NIO", "name": "Nicaraguan Córdoba"},
|
||||
{"id": 2819, "symbol": "NGN", "name": "Nigerian Naira"},
|
||||
{"id": 2801, "symbol": "NOK", "name": "Norwegian Krone"},
|
||||
{"id": 3562, "symbol": "OMR", "name": "Omani Rial"},
|
||||
{"id": 2804, "symbol": "PKR", "name": "Pakistani Rupee"},
|
||||
{"id": 3563, "symbol": "PAB", "name": "Panamanian Balboa"},
|
||||
{"id": 2822, "symbol": "PEN", "name": "Peruvian Sol"},
|
||||
{"id": 2803, "symbol": "PHP", "name": "Philippine Peso"},
|
||||
{"id": 2805, "symbol": "PLN", "name": "Polish Złoty"},
|
||||
{"id": 2791, "symbol": "GBP", "name": "Pound Sterling"},
|
||||
{"id": 3564, "symbol": "QAR", "name": "Qatari Rial"},
|
||||
{"id": 2817, "symbol": "RON", "name": "Romanian Leu"},
|
||||
{"id": 2806, "symbol": "RUB", "name": "Russian Ruble"},
|
||||
{"id": 3566, "symbol": "SAR", "name": "Saudi Riyal"},
|
||||
{"id": 3565, "symbol": "RSD", "name": "Serbian Dinar"},
|
||||
{"id": 2808, "symbol": "SGD", "name": "Singapore Dollar"},
|
||||
{"id": 2812, "symbol": "ZAR", "name": "South African Rand"},
|
||||
{"id": 2798, "symbol": "KRW", "name": "South Korean Won"},
|
||||
{"id": 3567, "symbol": "SSP", "name": "South Sudanese Pound"},
|
||||
{"id": 3573, "symbol": "VES", "name": "Sovereign Bolivar"},
|
||||
{"id": 3553, "symbol": "LKR", "name": "Sri Lankan Rupee"},
|
||||
{"id": 2807, "symbol": "SEK", "name": "Swedish Krona"},
|
||||
{"id": 2785, "symbol": "CHF", "name": "Swiss Franc"},
|
||||
{"id": 2809, "symbol": "THB", "name": "Thai Baht"},
|
||||
{"id": 3569, "symbol": "TTD", "name": "Trinidad and Tobago Dollar"},
|
||||
{"id": 3568, "symbol": "TND", "name": "Tunisian Dinar"},
|
||||
{"id": 2810, "symbol": "TRY", "name": "Turkish Lira"},
|
||||
{"id": 3570, "symbol": "UGX", "name": "Ugandan Shilling"},
|
||||
{"id": 2824, "symbol": "UAH", "name": "Ukrainian Hryvnia"},
|
||||
{"id": 2813, "symbol": "AED", "name": "United Arab Emirates Dirham"},
|
||||
{"id": 3571, "symbol": "UYU", "name": "Uruguayan Peso"},
|
||||
{"id": 3572, "symbol": "UZS", "name": "Uzbekistan Som"},
|
||||
{"id": 2823, "symbol": "VND", "name": "Vietnamese Dong"},
|
||||
]
|
||||
metals = [
|
||||
{"id": 3575, "symbol": "XAU", "name": "Gold Troy Ounce"},
|
||||
{"id": 3574, "symbol": "XAG", "name": "Silver Troy Ounce"},
|
||||
{"id": 3577, "symbol": "XPT", "name": "Platinum Ounce"},
|
||||
{"id": 3576, "symbol": "XPD", "name": "Palladium Ounce"},
|
||||
]
|
||||
# fmt: on
|
||||
|
||||
return fiat + metals + crypto
|
||||
return crypto + fiat
|
||||
|
||||
def _get_json_data(self, url, params={}):
|
||||
try:
|
||||
|
|
@ -318,7 +205,7 @@ class CoinMarketCap(BaseSource):
|
|||
except Exception as e:
|
||||
raise exceptions.ResponseParsingError(str(e)) from e
|
||||
|
||||
if type(parsed) is not dict or "data" not in parsed:
|
||||
if type(parsed) != dict or "data" not in parsed:
|
||||
raise exceptions.ResponseParsingError("Unexpected content.")
|
||||
|
||||
elif len(parsed["data"]) == 0:
|
||||
|
|
|
|||
|
|
@ -1,122 +0,0 @@
|
|||
import dataclasses
|
||||
import json
|
||||
from decimal import Decimal
|
||||
|
||||
import requests
|
||||
|
||||
from pricehist import exceptions
|
||||
from pricehist.price import Price
|
||||
|
||||
from .basesource import BaseSource
|
||||
|
||||
|
||||
class ExchangeRateHost(BaseSource):
|
||||
def id(self):
|
||||
return "exchangeratehost"
|
||||
|
||||
def name(self):
|
||||
return "exchangerate.host Exchange rates API"
|
||||
|
||||
def description(self):
|
||||
return (
|
||||
"Exchange rates API is a simple and lightweight free service for "
|
||||
"current and historical foreign exchange rates & crypto exchange "
|
||||
"rates."
|
||||
)
|
||||
|
||||
def source_url(self):
|
||||
return "https://exchangerate.host/"
|
||||
|
||||
def start(self):
|
||||
return "1999-01-01"
|
||||
|
||||
def types(self):
|
||||
return ["close"]
|
||||
|
||||
def notes(self):
|
||||
return ""
|
||||
|
||||
def symbols(self):
|
||||
url = "https://api.coindesk.com/v1/bpi/supported-currencies.json"
|
||||
|
||||
try:
|
||||
response = self.log_curl(requests.get(url))
|
||||
except Exception as e:
|
||||
raise exceptions.RequestError(str(e)) from e
|
||||
|
||||
try:
|
||||
response.raise_for_status()
|
||||
except Exception as e:
|
||||
raise exceptions.BadResponse(str(e)) from e
|
||||
|
||||
try:
|
||||
data = json.loads(response.content)
|
||||
relevant = [i for i in data if i["currency"] not in ["BTC", "XBT"]]
|
||||
results = [
|
||||
(f"BTC/{i['currency']}", f"Bitcoin against {i['country']}")
|
||||
for i in sorted(relevant, key=lambda i: i["currency"])
|
||||
]
|
||||
except Exception as e:
|
||||
raise exceptions.ResponseParsingError(str(e)) from e
|
||||
|
||||
if not results:
|
||||
raise exceptions.ResponseParsingError("Expected data not found")
|
||||
else:
|
||||
return results
|
||||
|
||||
def fetch(self, series):
|
||||
if series.base != "BTC" or series.quote in ["BTC", "XBT"]:
|
||||
# BTC is the only valid base.
|
||||
# BTC as the quote will return BTC/USD, which we don't want.
|
||||
# XBT as the quote will fail with HTTP status 500.
|
||||
raise exceptions.InvalidPair(series.base, series.quote, self)
|
||||
|
||||
data = self._data(series)
|
||||
|
||||
prices = []
|
||||
for (d, v) in data.get("bpi", {}).items():
|
||||
prices.append(Price(d, Decimal(str(v))))
|
||||
|
||||
return dataclasses.replace(series, prices=prices)
|
||||
|
||||
def _data(self, series):
|
||||
url = "https://api.coindesk.com/v1/bpi/historical/close.json"
|
||||
params = {
|
||||
"currency": series.quote,
|
||||
"start": series.start,
|
||||
"end": series.end,
|
||||
}
|
||||
|
||||
try:
|
||||
response = self.log_curl(requests.get(url, params=params))
|
||||
except Exception as e:
|
||||
raise exceptions.RequestError(str(e)) from e
|
||||
|
||||
code = response.status_code
|
||||
text = response.text
|
||||
if code == 404 and "currency was not found" in text:
|
||||
raise exceptions.InvalidPair(series.base, series.quote, self)
|
||||
elif code == 404 and "only covers data from" in text:
|
||||
raise exceptions.BadResponse(text)
|
||||
elif code == 404 and "end date is before" in text and series.end < series.start:
|
||||
raise exceptions.BadResponse("End date is before start date.")
|
||||
elif code == 404 and "end date is before" in text:
|
||||
raise exceptions.BadResponse("The start date must be in the past.")
|
||||
elif code == 500 and "No results returned from database" in text:
|
||||
raise exceptions.BadResponse(
|
||||
"No results returned from database. This can happen when data "
|
||||
"for a valid quote currency (e.g. CUP) doesn't go all the way "
|
||||
"back to the start date, and potentially for other reasons."
|
||||
)
|
||||
else:
|
||||
try:
|
||||
response.raise_for_status()
|
||||
except Exception as e:
|
||||
raise exceptions.BadResponse(str(e)) from e
|
||||
|
||||
try:
|
||||
result = json.loads(response.content)
|
||||
except Exception as e:
|
||||
raise exceptions.ResponseParsingError(str(e)) from e
|
||||
|
||||
return result
|
||||
|
|
@ -1,3 +1,4 @@
|
|||
import csv
|
||||
import dataclasses
|
||||
import json
|
||||
import logging
|
||||
|
|
@ -70,39 +71,63 @@ class Yahoo(BaseSource):
|
|||
series.base, series.quote, self, "Don't specify the quote currency."
|
||||
)
|
||||
|
||||
data = self._data(series)
|
||||
quote = data["chart"]["result"][0]["meta"]["currency"]
|
||||
offset = data["chart"]["result"][0]["meta"]["gmtoffset"]
|
||||
|
||||
timestamps = data["chart"]["result"][0]["timestamp"]
|
||||
adjclose_data = data["chart"]["result"][0]["indicators"]["adjclose"][0]
|
||||
rest_data = data["chart"]["result"][0]["indicators"]["quote"][0]
|
||||
amounts = {**adjclose_data, **rest_data}
|
||||
quote, history = self._data(series)
|
||||
|
||||
prices = [
|
||||
Price(date, amount)
|
||||
for i in range(len(timestamps))
|
||||
if (date := self._ts_to_date(timestamps[i] + offset)) <= series.end
|
||||
if (amount := self._amount(amounts, series.type, i)) is not None
|
||||
Price(row["date"], amount)
|
||||
for row in history
|
||||
if (amount := self._amount(row, series.type))
|
||||
]
|
||||
|
||||
return dataclasses.replace(series, quote=quote, prices=prices)
|
||||
|
||||
def _ts_to_date(self, ts) -> str:
|
||||
return datetime.fromtimestamp(ts, tz=timezone.utc).date().isoformat()
|
||||
|
||||
def _amount(self, amounts, type, i):
|
||||
if type == "mid" and amounts["high"] != "null" and amounts["low"] != "null":
|
||||
return sum([Decimal(amounts["high"][i]), Decimal(amounts["low"][i])]) / 2
|
||||
elif amounts[type] != "null" and amounts[type][i] is not None:
|
||||
return Decimal(amounts[type][i])
|
||||
def _amount(self, row, type):
|
||||
if type == "mid" and row["high"] != "null" and row["low"] != "null":
|
||||
return sum([Decimal(row["high"]), Decimal(row["low"])]) / 2
|
||||
elif row[type] != "null":
|
||||
return Decimal(row[type])
|
||||
else:
|
||||
return None
|
||||
|
||||
def _data(self, series) -> dict:
|
||||
base_url = "https://query1.finance.yahoo.com/v8/finance/chart"
|
||||
def _data(self, series) -> (dict, csv.DictReader):
|
||||
base_url = "https://query1.finance.yahoo.com/v7/finance"
|
||||
headers = {"User-Agent": f"pricehist/{__version__}"}
|
||||
url = f"{base_url}/{series.base}"
|
||||
|
||||
spark_url = f"{base_url}/spark"
|
||||
spark_params = {
|
||||
"symbols": series.base,
|
||||
"range": "1d",
|
||||
"interval": "1d",
|
||||
"indicators": "close",
|
||||
"includeTimestamps": "false",
|
||||
"includePrePost": "false",
|
||||
}
|
||||
try:
|
||||
spark_response = self.log_curl(
|
||||
requests.get(spark_url, params=spark_params, headers=headers)
|
||||
)
|
||||
except Exception as e:
|
||||
raise exceptions.RequestError(str(e)) from e
|
||||
|
||||
code = spark_response.status_code
|
||||
text = spark_response.text
|
||||
if code == 404 and "No data found for spark symbols" in text:
|
||||
raise exceptions.InvalidPair(
|
||||
series.base, series.quote, self, "Symbol not found."
|
||||
)
|
||||
|
||||
try:
|
||||
spark_response.raise_for_status()
|
||||
except Exception as e:
|
||||
raise exceptions.BadResponse(str(e)) from e
|
||||
|
||||
try:
|
||||
spark = json.loads(spark_response.content)
|
||||
quote = spark["spark"]["result"][0]["response"][0]["meta"]["currency"]
|
||||
except Exception as e:
|
||||
raise exceptions.ResponseParsingError(
|
||||
"The spark data couldn't be parsed. "
|
||||
) from e
|
||||
|
||||
start_ts = int(
|
||||
datetime.strptime(series.start, "%Y-%m-%d")
|
||||
|
|
@ -117,35 +142,34 @@ class Yahoo(BaseSource):
|
|||
24 * 60 * 60
|
||||
) # some symbols require padding on the end timestamp
|
||||
|
||||
params = {
|
||||
"symbol": series.base,
|
||||
history_url = f"{base_url}/download/{series.base}"
|
||||
history_params = {
|
||||
"period1": start_ts,
|
||||
"period2": end_ts,
|
||||
"interval": "1d",
|
||||
"events": "capitalGain%7Cdiv%7Csplit",
|
||||
"events": "history",
|
||||
"includeAdjustedClose": "true",
|
||||
"formatted": "true",
|
||||
"userYfid": "true",
|
||||
"lang": "en-US",
|
||||
"region": "US",
|
||||
}
|
||||
|
||||
try:
|
||||
response = self.log_curl(requests.get(url, params=params, headers=headers))
|
||||
history_response = self.log_curl(
|
||||
requests.get(history_url, params=history_params, headers=headers)
|
||||
)
|
||||
except Exception as e:
|
||||
raise exceptions.RequestError(str(e)) from e
|
||||
|
||||
code = response.status_code
|
||||
text = response.text
|
||||
code = history_response.status_code
|
||||
text = history_response.text
|
||||
|
||||
if code == 404 and "No data found, symbol may be delisted" in text:
|
||||
raise exceptions.InvalidPair(
|
||||
series.base, series.quote, self, "Symbol not found."
|
||||
)
|
||||
elif code == 400 and "Data doesn't exist" in text:
|
||||
if code == 400 and "Data doesn't exist" in text:
|
||||
raise exceptions.BadResponse(
|
||||
"No data for the given interval. Try requesting a larger interval."
|
||||
)
|
||||
|
||||
elif code == 404 and "Timestamp data missing" in text:
|
||||
raise exceptions.BadResponse(
|
||||
"Data missing. The given interval may be for a gap in the data "
|
||||
|
|
@ -153,21 +177,20 @@ class Yahoo(BaseSource):
|
|||
)
|
||||
|
||||
try:
|
||||
response.raise_for_status()
|
||||
history_response.raise_for_status()
|
||||
except Exception as e:
|
||||
raise exceptions.BadResponse(str(e)) from e
|
||||
|
||||
try:
|
||||
data = json.loads(response.content)
|
||||
history_lines = history_response.content.decode("utf-8").splitlines()
|
||||
history_lines[0] = history_lines[0].lower().replace(" ", "")
|
||||
history = csv.DictReader(history_lines, delimiter=",")
|
||||
except Exception as e:
|
||||
raise exceptions.ResponseParsingError(
|
||||
"The data couldn't be parsed. "
|
||||
) from e
|
||||
raise exceptions.ResponseParsingError(str(e)) from e
|
||||
|
||||
if "timestamp" not in data["chart"]["result"][0]:
|
||||
raise exceptions.BadResponse(
|
||||
"No data for the given interval. "
|
||||
"There may be a problem with the symbol or the interval."
|
||||
)
|
||||
if history_lines[0] != "date,open,high,low,close,adjclose,volume":
|
||||
raise exceptions.ResponseParsingError("Unexpected CSV format")
|
||||
|
||||
return data
|
||||
requested_history = [row for row in history if row["date"] <= series.end]
|
||||
|
||||
return (quote, requested_history)
|
||||
|
|
|
|||
|
|
@ -63,36 +63,42 @@ name="Alpha Vantage stocks"
|
|||
cmd="pricehist fetch alphavantage TSLA -s 2021-01-04 -e 2021-01-08"
|
||||
read -r -d '' expected <<END
|
||||
date,base,quote,amount,source,type
|
||||
2021-01-04,TSLA,USD,729.7700,alphavantage,close
|
||||
2021-01-05,TSLA,USD,735.1100,alphavantage,close
|
||||
2021-01-06,TSLA,USD,755.9800,alphavantage,close
|
||||
2021-01-07,TSLA,USD,816.0400,alphavantage,close
|
||||
2021-01-08,TSLA,USD,880.0200,alphavantage,close
|
||||
2021-01-04,TSLA,USD,729.77,alphavantage,close
|
||||
2021-01-05,TSLA,USD,735.11,alphavantage,close
|
||||
2021-01-06,TSLA,USD,755.98,alphavantage,close
|
||||
2021-01-07,TSLA,USD,816.04,alphavantage,close
|
||||
2021-01-08,TSLA,USD,880.02,alphavantage,close
|
||||
END
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
|
||||
|
||||
name="Alpha Vantage physical currency"
|
||||
cmd="pricehist fetch alphavantage AUD/EUR -s 2021-01-11 -e 2021-01-14"
|
||||
cmd="pricehist fetch alphavantage AUD/EUR -s 2021-01-04 -e 2021-01-08"
|
||||
read -r -d '' expected <<END
|
||||
date,base,quote,amount,source,type
|
||||
2021-01-11,AUD,EUR,0.63374,alphavantage,close
|
||||
2021-01-12,AUD,EUR,0.63684,alphavantage,close
|
||||
2021-01-13,AUD,EUR,0.63686,alphavantage,close
|
||||
2021-01-14,AUD,EUR,0.63984,alphavantage,close
|
||||
2021-01-04,AUD,EUR,0.62558,alphavantage,close
|
||||
2021-01-05,AUD,EUR,0.63086,alphavantage,close
|
||||
2021-01-06,AUD,EUR,0.63306,alphavantage,close
|
||||
2021-01-07,AUD,EUR,0.63284,alphavantage,close
|
||||
2021-01-08,AUD,EUR,0.63530,alphavantage,close
|
||||
END
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
|
||||
name="Alpha Vantage digital currency"
|
||||
cmd="pricehist fetch alphavantage BTC/USD -s 2024-07-01 -e 2024-07-05"
|
||||
cmd="pricehist fetch alphavantage BTC/USD -s 2021-01-04 -e 2021-01-08"
|
||||
read -r -d '' expected <<END
|
||||
date,base,quote,amount,source,type
|
||||
2024-07-01,BTC,USD,62830.13000000,alphavantage,close
|
||||
2024-07-02,BTC,USD,62040.22000000,alphavantage,close
|
||||
2024-07-03,BTC,USD,60145.01000000,alphavantage,close
|
||||
2024-07-04,BTC,USD,57042.14000000,alphavantage,close
|
||||
2024-07-05,BTC,USD,56639.43000000,alphavantage,close
|
||||
2021-01-04,BTC,USD,31988.71000000,alphavantage,close
|
||||
2021-01-05,BTC,USD,33949.53000000,alphavantage,close
|
||||
2021-01-06,BTC,USD,36769.36000000,alphavantage,close
|
||||
2021-01-07,BTC,USD,39432.28000000,alphavantage,close
|
||||
2021-01-08,BTC,USD,40582.81000000,alphavantage,close
|
||||
END
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
if [[ "$(date --iso-8601)" < "2023-06-15" ]]; then
|
||||
skip_test "$name" "$cmd" "$expected"
|
||||
else
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
fi
|
||||
|
||||
name="Bank of Canada"
|
||||
cmd="pricehist fetch bankofcanada CAD/USD -s 2021-01-04 -e 2021-01-08"
|
||||
|
|
@ -116,29 +122,30 @@ date,base,quote,amount,source,type
|
|||
2021-01-07,BTC,EUR,31208.49,coinbasepro,mid
|
||||
2021-01-08,BTC,EUR,32019,coinbasepro,mid
|
||||
END
|
||||
skip_test "$name" "$cmd" "$expected"
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
|
||||
name="CoinDesk Bitcoin Price Index v1"
|
||||
cmd="pricehist fetch coindeskbpi BTC/USD -s 2021-01-04 -e 2021-01-08"
|
||||
name="CoinDesk Bitcoin Price Index"
|
||||
cmd="pricehist fetch coindesk BTC/EUR -s 2021-01-04 -e 2021-01-08"
|
||||
read -r -d '' expected <<END
|
||||
WARNING This source is deprecated. Data stops at 2022-07-10.
|
||||
date,base,quote,amount,source,type
|
||||
2021-01-04,BTC,USD,31431.6123,coindeskbpi,close
|
||||
2021-01-05,BTC,USD,34433.6065,coindeskbpi,close
|
||||
2021-01-06,BTC,USD,36275.7563,coindeskbpi,close
|
||||
2021-01-07,BTC,USD,39713.5079,coindeskbpi,close
|
||||
2021-01-08,BTC,USD,40519.4486,coindeskbpi,close
|
||||
2021-01-04,BTC,EUR,26135.4901,coindesk,close
|
||||
2021-01-05,BTC,EUR,27677.9141,coindesk,close
|
||||
2021-01-06,BTC,EUR,29871.4301,coindesk,close
|
||||
2021-01-07,BTC,EUR,32183.1594,coindesk,close
|
||||
2021-01-08,BTC,EUR,33238.5724,coindesk,close
|
||||
END
|
||||
skip_test "$name" "$cmd" "$expected"
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
|
||||
name="CoinMarketCap"
|
||||
cmd="pricehist fetch coinmarketcap BTC/EUR -s 2021-01-04 -e 2021-01-08"
|
||||
read -r -d '' expected <<END
|
||||
date,base,quote,amount,source,type
|
||||
2021-01-04,BTC,EUR,25322.5034586073,coinmarketcap,mid
|
||||
2021-01-05,BTC,EUR,26318.9928757682,coinmarketcap,mid
|
||||
2021-01-06,BTC,EUR,28570.9945210226,coinmarketcap,mid
|
||||
2021-01-07,BTC,EUR,31200.8342706036,coinmarketcap,mid
|
||||
2021-01-08,BTC,EUR,32157.05279624555,coinmarketcap,mid
|
||||
2021-01-04,BTC,EUR,25329.110170161484,coinmarketcap,mid
|
||||
2021-01-05,BTC,EUR,26321.26752264663,coinmarketcap,mid
|
||||
2021-01-06,BTC,EUR,28572.211551075297,coinmarketcap,mid
|
||||
2021-01-07,BTC,EUR,31200.894541155460,coinmarketcap,mid
|
||||
2021-01-08,BTC,EUR,32155.0183793871585,coinmarketcap,mid
|
||||
END
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
|
||||
|
|
@ -158,11 +165,11 @@ name="Yahoo! Finance"
|
|||
cmd="pricehist fetch yahoo TSLA -s 2021-01-04 -e 2021-01-08"
|
||||
read -r -d '' expected <<END
|
||||
date,base,quote,amount,source,type
|
||||
2021-01-04,TSLA,USD,243.2566680908203125,yahoo,adjclose
|
||||
2021-01-05,TSLA,USD,245.0366668701171875,yahoo,adjclose
|
||||
2021-01-06,TSLA,USD,251.9933319091796875,yahoo,adjclose
|
||||
2021-01-07,TSLA,USD,272.013336181640625,yahoo,adjclose
|
||||
2021-01-08,TSLA,USD,293.339996337890625,yahoo,adjclose
|
||||
2021-01-04,TSLA,USD,243.256668,yahoo,adjclose
|
||||
2021-01-05,TSLA,USD,245.036667,yahoo,adjclose
|
||||
2021-01-06,TSLA,USD,251.993332,yahoo,adjclose
|
||||
2021-01-07,TSLA,USD,272.013336,yahoo,adjclose
|
||||
2021-01-08,TSLA,USD,293.339996,yahoo,adjclose
|
||||
END
|
||||
run_test "$name" "$cmd" "$expected"
|
||||
|
||||
|
|
|
|||
|
|
@ -48,9 +48,6 @@ search_url = re.compile(
|
|||
r"https://www\.alphavantage\.co/query\?function=SYMBOL_SEARCH.*"
|
||||
)
|
||||
stock_url = re.compile(
|
||||
r"https://www\.alphavantage\.co/query\?function=TIME_SERIES_DAILY&.*"
|
||||
)
|
||||
adj_stock_url = re.compile(
|
||||
r"https://www\.alphavantage\.co/query\?function=TIME_SERIES_DAILY_ADJUSTED.*"
|
||||
)
|
||||
physical_url = re.compile(r"https://www\.alphavantage\.co/query\?function=FX_DAILY.*")
|
||||
|
|
@ -59,22 +56,17 @@ digital_url = re.compile(
|
|||
)
|
||||
|
||||
rate_limit_json = (
|
||||
'{ "Information": "'
|
||||
"Thank you for using Alpha Vantage! Our standard API rate limit is 25 "
|
||||
"requests per day. Please subscribe to any of the premium plans at "
|
||||
"https://www.alphavantage.co/premium/ to instantly remove all daily rate "
|
||||
"limits."
|
||||
'{ "Note": "'
|
||||
"Thank you for using Alpha Vantage! Our standard API call frequency is 5 "
|
||||
"calls per minute and 500 calls per day. Please visit "
|
||||
"https://www.alphavantage.co/premium/ if you would like to target a higher "
|
||||
"API call frequency."
|
||||
'" }'
|
||||
)
|
||||
|
||||
premium_json = (
|
||||
'{ "Information": "Thank you for using Alpha Vantage! This is a premium '
|
||||
"endpoint and there are multiple ways to unlock premium endpoints: (1) "
|
||||
"become a holder of Alpha Vantage Coin (AVC), an Ethereum-based "
|
||||
"cryptocurrency that provides various utility & governance functions "
|
||||
"within the Alpha Vantage ecosystem (AVC mining guide: "
|
||||
"https://www.alphatournament.com/avc_mining_guide/) to unlock all "
|
||||
"premium endpoints, (2) subscribe to any of the premium plans at "
|
||||
"endpoint. You may subscribe to any of the premium plans at "
|
||||
"https://www.alphavantage.co/premium/ to instantly unlock all premium "
|
||||
'endpoints" }'
|
||||
)
|
||||
|
|
@ -117,7 +109,7 @@ def ibm_ok(requests_mock):
|
|||
@pytest.fixture
|
||||
def ibm_adj_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "ibm-partial-adj.json").read_text()
|
||||
requests_mock.add(responses.GET, adj_stock_url, body=json, status=200)
|
||||
requests_mock.add(responses.GET, stock_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
|
|
@ -304,7 +296,7 @@ def test_fetch_stock_known(src, type, search_ok, ibm_ok):
|
|||
stock_req = ibm_ok.calls[1].request
|
||||
assert search_req.params["function"] == "SYMBOL_SEARCH"
|
||||
assert search_req.params["keywords"] == "IBM"
|
||||
assert stock_req.params["function"] == "TIME_SERIES_DAILY"
|
||||
assert stock_req.params["function"] == "TIME_SERIES_DAILY_ADJUSTED"
|
||||
assert stock_req.params["symbol"] == "IBM"
|
||||
assert stock_req.params["outputsize"] == "full"
|
||||
assert (series.base, series.quote) == ("IBM", "USD")
|
||||
|
|
@ -427,7 +419,7 @@ def test_fetch_stock_rate_limit(src, type, search_ok, requests_mock):
|
|||
|
||||
|
||||
def test_fetch_stock_premium(src, search_ok, requests_mock):
|
||||
requests_mock.add(responses.GET, adj_stock_url, body=premium_json)
|
||||
requests_mock.add(responses.GET, stock_url, body=premium_json)
|
||||
with pytest.raises(exceptions.CredentialsError) as e:
|
||||
src.fetch(Series("IBM", "", "adjclose", "2021-01-04", "2021-01-08"))
|
||||
assert "denied access to a premium endpoint" in str(e.value)
|
||||
|
|
|
|||
|
|
@ -10,53 +10,88 @@
|
|||
},
|
||||
"Time Series (Digital Currency Daily)": {
|
||||
"2021-01-09": {
|
||||
"1. open": "55074.06950240",
|
||||
"2. high": "56150.17720000",
|
||||
"3. low": "52540.71680000",
|
||||
"4. close": "54397.30924680",
|
||||
"5. volume": "75785.97967500"
|
||||
"1a. open (AUD)": "55074.06950240",
|
||||
"1b. open (USD)": "40586.96000000",
|
||||
"2a. high (AUD)": "56150.17720000",
|
||||
"2b. high (USD)": "41380.00000000",
|
||||
"3a. low (AUD)": "52540.71680000",
|
||||
"3b. low (USD)": "38720.00000000",
|
||||
"4a. close (AUD)": "54397.30924680",
|
||||
"4b. close (USD)": "40088.22000000",
|
||||
"5. volume": "75785.97967500",
|
||||
"6. market cap (USD)": "75785.97967500"
|
||||
},
|
||||
"2021-01-08": {
|
||||
"1. open": "53507.50941120",
|
||||
"2. high": "56923.63300000",
|
||||
"3. low": "49528.31000000",
|
||||
"4. close": "55068.43820140",
|
||||
"5. volume": "139789.95749900"
|
||||
"1a. open (AUD)": "53507.50941120",
|
||||
"1b. open (USD)": "39432.48000000",
|
||||
"2a. high (AUD)": "56923.63300000",
|
||||
"2b. high (USD)": "41950.00000000",
|
||||
"3a. low (AUD)": "49528.31000000",
|
||||
"3b. low (USD)": "36500.00000000",
|
||||
"4a. close (AUD)": "55068.43820140",
|
||||
"4b. close (USD)": "40582.81000000",
|
||||
"5. volume": "139789.95749900",
|
||||
"6. market cap (USD)": "139789.95749900"
|
||||
},
|
||||
"2021-01-07": {
|
||||
"1. open": "49893.81535840",
|
||||
"2. high": "54772.88310000",
|
||||
"3. low": "49256.92200000",
|
||||
"4. close": "53507.23802320",
|
||||
"5. volume": "132825.70043700"
|
||||
"1a. open (AUD)": "49893.81535840",
|
||||
"1b. open (USD)": "36769.36000000",
|
||||
"2a. high (AUD)": "54772.88310000",
|
||||
"2b. high (USD)": "40365.00000000",
|
||||
"3a. low (AUD)": "49256.92200000",
|
||||
"3b. low (USD)": "36300.00000000",
|
||||
"4a. close (AUD)": "53507.23802320",
|
||||
"4b. close (USD)": "39432.28000000",
|
||||
"5. volume": "132825.70043700",
|
||||
"6. market cap (USD)": "132825.70043700"
|
||||
},
|
||||
"2021-01-06": {
|
||||
"1. open": "46067.47523820",
|
||||
"2. high": "50124.29161740",
|
||||
"3. low": "45169.81872000",
|
||||
"4. close": "49893.81535840",
|
||||
"5. volume": "127139.20131000"
|
||||
"1a. open (AUD)": "46067.47523820",
|
||||
"1b. open (USD)": "33949.53000000",
|
||||
"2a. high (AUD)": "50124.29161740",
|
||||
"2b. high (USD)": "36939.21000000",
|
||||
"3a. low (AUD)": "45169.81872000",
|
||||
"3b. low (USD)": "33288.00000000",
|
||||
"4a. close (AUD)": "49893.81535840",
|
||||
"4b. close (USD)": "36769.36000000",
|
||||
"5. volume": "127139.20131000",
|
||||
"6. market cap (USD)": "127139.20131000"
|
||||
},
|
||||
"2021-01-05": {
|
||||
"1. open": "43408.17136500",
|
||||
"2. high": "46624.45840000",
|
||||
"3. low": "40572.50600000",
|
||||
"4. close": "46067.47523820",
|
||||
"5. volume": "116049.99703800"
|
||||
"1a. open (AUD)": "43408.17136500",
|
||||
"1b. open (USD)": "31989.75000000",
|
||||
"2a. high (AUD)": "46624.45840000",
|
||||
"2b. high (USD)": "34360.00000000",
|
||||
"3a. low (AUD)": "40572.50600000",
|
||||
"3b. low (USD)": "29900.00000000",
|
||||
"4a. close (AUD)": "46067.47523820",
|
||||
"4b. close (USD)": "33949.53000000",
|
||||
"5. volume": "116049.99703800",
|
||||
"6. market cap (USD)": "116049.99703800"
|
||||
},
|
||||
"2021-01-04": {
|
||||
"1. open": "44779.08784700",
|
||||
"2. high": "45593.18400000",
|
||||
"3. low": "38170.72220000",
|
||||
"4. close": "43406.76014740",
|
||||
"5. volume": "140899.88569000"
|
||||
"1a. open (AUD)": "44779.08784700",
|
||||
"1b. open (USD)": "33000.05000000",
|
||||
"2a. high (AUD)": "45593.18400000",
|
||||
"2b. high (USD)": "33600.00000000",
|
||||
"3a. low (AUD)": "38170.72220000",
|
||||
"3b. low (USD)": "28130.00000000",
|
||||
"4a. close (AUD)": "43406.76014740",
|
||||
"4b. close (USD)": "31988.71000000",
|
||||
"5. volume": "140899.88569000",
|
||||
"6. market cap (USD)": "140899.88569000"
|
||||
},
|
||||
"2021-01-03": {
|
||||
"1. open": "43661.51206300",
|
||||
"2. high": "47191.80858340",
|
||||
"3. low": "43371.85965060",
|
||||
"4. close": "44779.08784700",
|
||||
"5. volume": "120957.56675000"
|
||||
"1a. open (AUD)": "43661.51206300",
|
||||
"1b. open (USD)": "32176.45000000",
|
||||
"2a. high (AUD)": "47191.80858340",
|
||||
"2b. high (USD)": "34778.11000000",
|
||||
"3a. low (AUD)": "43371.85965060",
|
||||
"3b. low (USD)": "31962.99000000",
|
||||
"4a. close (AUD)": "44779.08784700",
|
||||
"4b. close (USD)": "33000.05000000",
|
||||
"5. volume": "120957.56675000",
|
||||
"6. market cap (USD)": "120957.56675000"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -36,10 +36,9 @@ def requests_mock():
|
|||
yield mock
|
||||
|
||||
|
||||
crypto_url = (
|
||||
"https://api.coinmarketcap.com/data-api/v1/cryptocurrency/map?sort=cmc_rank"
|
||||
)
|
||||
fetch_url = "https://api.coinmarketcap.com/data-api/v3.1/cryptocurrency/historical"
|
||||
crypto_url = "https://web-api.coinmarketcap.com/v1/cryptocurrency/map?sort=cmc_rank"
|
||||
fiat_url = "https://web-api.coinmarketcap.com/v1/fiat/map?include_metals=true"
|
||||
fetch_url = "https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical"
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
|
|
@ -49,6 +48,13 @@ def crypto_ok(requests_mock):
|
|||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def fiat_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "fiat-partial.json").read_text()
|
||||
requests_mock.add(responses.GET, fiat_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def recent_id_id_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "recent-id1-id2782.json").read_text()
|
||||
|
|
@ -56,6 +62,36 @@ def recent_id_id_ok(requests_mock):
|
|||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def recent_id_sym_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "recent-id1-aud.json").read_text()
|
||||
requests_mock.add(responses.GET, fetch_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def recent_sym_id_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "recent-btc-id2782.json").read_text()
|
||||
requests_mock.add(responses.GET, fetch_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def recent_sym_sym_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "recent-btc-aud.json").read_text()
|
||||
requests_mock.add(responses.GET, fetch_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def long_sym_sym_ok(requests_mock):
|
||||
json = (
|
||||
Path(os.path.splitext(__file__)[0]) / "long-btc-aud-partial.json"
|
||||
).read_text()
|
||||
requests_mock.add(responses.GET, fetch_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
def test_normalizesymbol(src):
|
||||
assert src.normalizesymbol("btc") == "BTC"
|
||||
assert src.normalizesymbol("id=1") == "ID=1"
|
||||
|
|
@ -84,31 +120,63 @@ def test_metadata(src):
|
|||
assert isinstance(src.notes(), str)
|
||||
|
||||
|
||||
def test_symbols(src, crypto_ok):
|
||||
def test_symbols(src, crypto_ok, fiat_ok):
|
||||
syms = src.symbols()
|
||||
assert ("id=1", "BTC Bitcoin") in syms
|
||||
assert ("id=2782", "AUD Australian Dollar") in syms
|
||||
assert len(syms) > 2
|
||||
|
||||
|
||||
def test_symbols_request_logged(src, crypto_ok, caplog):
|
||||
def test_symbols_requests_logged(src, crypto_ok, fiat_ok, caplog):
|
||||
with caplog.at_level(logging.DEBUG):
|
||||
src.symbols()
|
||||
logged_requests = 0
|
||||
for r in caplog.records:
|
||||
if r.levelname == "DEBUG" and "curl " in r.message:
|
||||
logged_requests += 1
|
||||
assert logged_requests == 1
|
||||
assert logged_requests == 2
|
||||
|
||||
|
||||
def test_symbols_crypto_not_found(src, requests_mock):
|
||||
def test_symbols_fiat_not_found(src, requests_mock):
|
||||
requests_mock.add(responses.GET, fiat_url, body="{}", status=200)
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.symbols()
|
||||
assert "Unexpected content" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_fiat_network_issue(src, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fiat_url,
|
||||
body=requests.exceptions.ConnectionError("Network issue"),
|
||||
)
|
||||
with pytest.raises(exceptions.RequestError) as e:
|
||||
src.symbols()
|
||||
assert "Network issue" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_fiat_bad_status(src, requests_mock):
|
||||
requests_mock.add(responses.GET, fiat_url, status=500)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.symbols()
|
||||
assert "Server Error" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_fiat_parsing_error(src, requests_mock):
|
||||
requests_mock.add(responses.GET, fiat_url, body="NOT JSON")
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.symbols()
|
||||
assert "while parsing data" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_crypto_not_found(src, requests_mock, fiat_ok):
|
||||
requests_mock.add(responses.GET, crypto_url, body="{}", status=200)
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.symbols()
|
||||
assert "Unexpected content" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_crypto_network_issue(src, requests_mock):
|
||||
def test_symbols_crypto_network_issue(src, requests_mock, fiat_ok):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
crypto_url,
|
||||
|
|
@ -119,14 +187,14 @@ def test_symbols_crypto_network_issue(src, requests_mock):
|
|||
assert "Network issue" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_crypto_bad_status(src, requests_mock):
|
||||
def test_symbols_crypto_bad_status(src, requests_mock, fiat_ok):
|
||||
requests_mock.add(responses.GET, crypto_url, status=500)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.symbols()
|
||||
assert "Server Error" in str(e.value)
|
||||
|
||||
|
||||
def test_symbols_crypto_parsing_error(src, requests_mock):
|
||||
def test_symbols_crypto_parsing_error(src, requests_mock, fiat_ok):
|
||||
requests_mock.add(responses.GET, crypto_url, body="NOT JSON")
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.symbols()
|
||||
|
|
@ -134,59 +202,59 @@ def test_symbols_crypto_parsing_error(src, requests_mock):
|
|||
|
||||
|
||||
def test_symbols_no_data(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, crypto_url, body='{"data": []}')
|
||||
requests_mock.add(responses.GET, fiat_url, body='{"data": []}')
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.symbols()
|
||||
assert "Empty data section" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_known_pair_id_id(src, type, recent_id_id_ok, crypto_ok):
|
||||
def test_fetch_known_pair_id_id(src, type, recent_id_id_ok, crypto_ok, fiat_ok):
|
||||
series = src.fetch(Series("ID=1", "ID=2782", type, "2021-01-01", "2021-01-07"))
|
||||
req = recent_id_id_ok.calls[0].request
|
||||
assert req.params["id"] == "1"
|
||||
assert req.params["convertId"] == "2782"
|
||||
assert req.params["convert_id"] == "2782"
|
||||
assert (series.base, series.quote) == ("BTC", "AUD")
|
||||
assert len(series.prices) == 7
|
||||
|
||||
|
||||
def test_fetch_known_pair_id_sym(src, type, recent_id_id_ok, crypto_ok):
|
||||
def test_fetch_known_pair_id_sym(src, type, recent_id_sym_ok):
|
||||
series = src.fetch(Series("ID=1", "AUD", type, "2021-01-01", "2021-01-07"))
|
||||
req = recent_id_id_ok.calls[1].request
|
||||
req = recent_id_sym_ok.calls[0].request
|
||||
assert req.params["id"] == "1"
|
||||
assert req.params["convertId"] == "2782"
|
||||
assert req.params["convert"] == "AUD"
|
||||
assert (series.base, series.quote) == ("BTC", "AUD")
|
||||
assert len(series.prices) == 7
|
||||
|
||||
|
||||
def test_fetch_known_pair_sym_id(src, type, recent_id_id_ok, crypto_ok):
|
||||
def test_fetch_known_pair_sym_id(src, type, recent_sym_id_ok, crypto_ok, fiat_ok):
|
||||
series = src.fetch(Series("BTC", "ID=2782", type, "2021-01-01", "2021-01-07"))
|
||||
req = recent_id_id_ok.calls[1].request
|
||||
assert req.params["id"] == "1"
|
||||
assert req.params["convertId"] == "2782"
|
||||
req = recent_sym_id_ok.calls[0].request
|
||||
assert req.params["symbol"] == "BTC"
|
||||
assert req.params["convert_id"] == "2782"
|
||||
assert (series.base, series.quote) == ("BTC", "AUD")
|
||||
assert len(series.prices) == 7
|
||||
|
||||
|
||||
def test_fetch_known_pair_sym_sym(src, type, recent_id_id_ok, crypto_ok):
|
||||
def test_fetch_known_pair_sym_sym(src, type, recent_sym_sym_ok):
|
||||
series = src.fetch(Series("BTC", "AUD", type, "2021-01-01", "2021-01-07"))
|
||||
req = recent_id_id_ok.calls[1].request
|
||||
assert req.params["id"] == "1"
|
||||
assert req.params["convertId"] == "2782"
|
||||
req = recent_sym_sym_ok.calls[0].request
|
||||
assert req.params["symbol"] == "BTC"
|
||||
assert req.params["convert"] == "AUD"
|
||||
assert len(series.prices) == 7
|
||||
|
||||
|
||||
def test_fetch_requests_and_receives_correct_times(
|
||||
src, type, recent_id_id_ok, crypto_ok
|
||||
src, type, recent_id_id_ok, crypto_ok, fiat_ok
|
||||
):
|
||||
series = src.fetch(Series("ID=1", "ID=2782", type, "2021-01-01", "2021-01-07"))
|
||||
req = recent_id_id_ok.calls[0].request
|
||||
assert req.params["timeStart"] == str(timestamp("2020-12-31")) # back one period
|
||||
assert req.params["timeEnd"] == str(timestamp("2021-01-07"))
|
||||
assert series.prices[0] == Price("2021-01-01", Decimal("37914.35060237985"))
|
||||
assert series.prices[-1] == Price("2021-01-07", Decimal("49369.66288590665"))
|
||||
assert req.params["time_start"] == str(timestamp("2020-12-31")) # back one period
|
||||
assert req.params["time_end"] == str(timestamp("2021-01-07"))
|
||||
assert series.prices[0] == Price("2021-01-01", Decimal("37914.350602379853"))
|
||||
assert series.prices[-1] == Price("2021-01-07", Decimal("49370.064689585612"))
|
||||
|
||||
|
||||
def test_fetch_requests_logged(src, type, crypto_ok, recent_id_id_ok, caplog):
|
||||
def test_fetch_requests_logged(src, type, recent_sym_sym_ok, caplog):
|
||||
with caplog.at_level(logging.DEBUG):
|
||||
src.fetch(Series("BTC", "AUD", type, "2021-01-01", "2021-01-07"))
|
||||
assert any(
|
||||
|
|
@ -194,20 +262,20 @@ def test_fetch_requests_logged(src, type, crypto_ok, recent_id_id_ok, caplog):
|
|||
)
|
||||
|
||||
|
||||
def test_fetch_types_all_available(src, crypto_ok, recent_id_id_ok):
|
||||
def test_fetch_types_all_available(src, recent_sym_sym_ok):
|
||||
mid = src.fetch(Series("BTC", "AUD", "mid", "2021-01-01", "2021-01-07"))
|
||||
opn = src.fetch(Series("BTC", "AUD", "open", "2021-01-01", "2021-01-07"))
|
||||
hgh = src.fetch(Series("BTC", "AUD", "high", "2021-01-01", "2021-01-07"))
|
||||
low = src.fetch(Series("BTC", "AUD", "low", "2021-01-01", "2021-01-07"))
|
||||
cls = src.fetch(Series("BTC", "AUD", "close", "2021-01-01", "2021-01-07"))
|
||||
assert mid.prices[0].amount == Decimal("37914.35060237985")
|
||||
assert opn.prices[0].amount == Decimal("37658.1146368474")
|
||||
assert mid.prices[0].amount == Decimal("37914.350602379853")
|
||||
assert opn.prices[0].amount == Decimal("37658.83948707033")
|
||||
assert hgh.prices[0].amount == Decimal("38417.9137031205")
|
||||
assert low.prices[0].amount == Decimal("37410.7875016392")
|
||||
assert cls.prices[0].amount == Decimal("38181.9913330076")
|
||||
assert low.prices[0].amount == Decimal("37410.787501639206")
|
||||
assert cls.prices[0].amount == Decimal("38181.99133300758")
|
||||
|
||||
|
||||
def test_fetch_type_mid_is_mean_of_low_and_high(src, crypto_ok, recent_id_id_ok):
|
||||
def test_fetch_type_mid_is_mean_of_low_and_high(src, recent_sym_sym_ok):
|
||||
mid = src.fetch(Series("BTC", "AUD", "mid", "2021-01-01", "2021-01-07")).prices
|
||||
low = src.fetch(Series("BTC", "AUD", "low", "2021-01-01", "2021-01-07")).prices
|
||||
hgh = src.fetch(Series("BTC", "AUD", "high", "2021-01-01", "2021-01-07")).prices
|
||||
|
|
@ -219,24 +287,80 @@ def test_fetch_type_mid_is_mean_of_low_and_high(src, crypto_ok, recent_id_id_ok)
|
|||
)
|
||||
|
||||
|
||||
def test_fetch_empty(src, type, crypto_ok, requests_mock):
|
||||
def test_fetch_long_hist_from_start(src, type, long_sym_sym_ok):
|
||||
series = src.fetch(Series("BTC", "AUD", type, src.start(), "2021-01-07"))
|
||||
assert series.prices[0] == Price("2013-04-28", Decimal("130.45956234123247"))
|
||||
assert series.prices[-1] == Price("2021-01-07", Decimal("49370.064689585612"))
|
||||
assert len(series.prices) > 13
|
||||
|
||||
|
||||
def test_fetch_from_before_start(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
status=400,
|
||||
body="""{ "status": { "error_code": 400, "error_message":
|
||||
"\\"time_start\\" must be a valid ISO 8601 timestamp or unix time value",
|
||||
} }""",
|
||||
)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("BTC", "AUD", type, "2001-09-10", "2001-10-01"))
|
||||
assert "start date can't preceed" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_to_future(src, type, recent_sym_sym_ok):
|
||||
series = src.fetch(Series("BTC", "AUD", type, "2021-01-01", "2100-01-01"))
|
||||
assert len(series.prices) > 0
|
||||
|
||||
|
||||
def test_fetch_in_future(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
status=400,
|
||||
body="""{
|
||||
"status": {
|
||||
"error_code": 400,
|
||||
"error_message": "\\"time_start\\" must be older than \\"time_end\\"."
|
||||
}
|
||||
}""",
|
||||
)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("BTC", "AUD", type, "2030-01-01", "2030-01-07"))
|
||||
assert "start date must be in the past" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_reversed_dates(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
status=400,
|
||||
body="""{
|
||||
"status": {
|
||||
"error_code": 400,
|
||||
"error_message": "\\"time_start\\" must be older than \\"time_end\\"."
|
||||
}
|
||||
}""",
|
||||
)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("BTC", "AUD", type, "2021-01-07", "2021-01-01"))
|
||||
assert "start date must preceed or match the end" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_empty(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
body="""{
|
||||
"status": {
|
||||
"error_code": 0,
|
||||
"error_message": null
|
||||
},
|
||||
"data": {
|
||||
"id": 1,
|
||||
"name": "Bitcoin",
|
||||
"symbol": "BTC",
|
||||
"timeEnd": "1228348799",
|
||||
"quotes": []
|
||||
},
|
||||
"status": {
|
||||
"timestamp": "2024-08-03T09:31:52.719Z",
|
||||
"error_code": "0",
|
||||
"error_message": "SUCCESS",
|
||||
"elapsed": "14",
|
||||
"credit_count": 0
|
||||
}
|
||||
}""",
|
||||
)
|
||||
|
|
@ -244,36 +368,63 @@ def test_fetch_empty(src, type, crypto_ok, requests_mock):
|
|||
assert len(series.prices) == 0
|
||||
|
||||
|
||||
def test_fetch_bad_base_sym(src, type, crypto_ok):
|
||||
with pytest.raises(exceptions.InvalidPair) as e:
|
||||
def test_fetch_bad_base_sym(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, fetch_url, body='{"data":{}}')
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("NOTABASE", "USD", type, "2021-01-01", "2021-01-07"))
|
||||
assert "Invalid symbol 'NOTABASE'" in str(e.value)
|
||||
assert "quote currency symbol can't be found" in str(e.value)
|
||||
assert "other reasons" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_quote_sym(src, type, crypto_ok):
|
||||
with pytest.raises(exceptions.InvalidPair) as e:
|
||||
src.fetch(Series("BTC", "NOTAQUOTE", type, "2021-01-01", "2021-01-07"))
|
||||
assert "Invalid symbol 'NOTAQUOTE'" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_response(src, type, crypto_ok, requests_mock):
|
||||
def test_fetch_bad_quote_sym(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
status=200,
|
||||
status=400,
|
||||
body="""{
|
||||
"status": {
|
||||
"timestamp": "2024-08-03T09:42:43.699Z",
|
||||
"error_code": "500",
|
||||
"error_message": "The system is busy, please try again later!",
|
||||
"elapsed": "0",
|
||||
"credit_count": 0
|
||||
}
|
||||
"status": {
|
||||
"error_code": 400,
|
||||
"error_message": "Invalid value for \\"convert\\": \\"NOTAQUOTE\\""
|
||||
}
|
||||
}""",
|
||||
)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("ID=987654321", "USD", type, "2021-01-01", "2021-01-07"))
|
||||
assert "general error" in str(e.value)
|
||||
with pytest.raises(exceptions.InvalidPair) as e:
|
||||
src.fetch(Series("BTC", "NOTAQUOTE", type, "2021-01-01", "2021-01-07"))
|
||||
assert "Bad quote symbol" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_base_id(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
status=400,
|
||||
body="""{
|
||||
"status": {
|
||||
"error_code": 400,
|
||||
"error_message": "No items found."
|
||||
}
|
||||
}""",
|
||||
)
|
||||
with pytest.raises(exceptions.InvalidPair) as e:
|
||||
src.fetch(Series("ID=20000", "USD", type, "2021-01-01", "2021-01-07"))
|
||||
assert "Bad base ID" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_quote_id(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
fetch_url,
|
||||
status=400,
|
||||
body="""{
|
||||
"status": {
|
||||
"error_code": 400,
|
||||
"error_message": "Invalid value for \\"convert_id\\": \\"20000\\""
|
||||
}
|
||||
}""",
|
||||
)
|
||||
with pytest.raises(exceptions.InvalidPair) as e:
|
||||
src.fetch(Series("BTC", "ID=20000", type, "2021-01-01", "2021-01-07"))
|
||||
assert "Bad quote ID" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_no_quote(src, type):
|
||||
|
|
@ -281,7 +432,7 @@ def test_fetch_no_quote(src, type):
|
|||
src.fetch(Series("BTC", "", type, "2021-01-01", "2021-01-07"))
|
||||
|
||||
|
||||
def test_fetch_network_issue(src, type, crypto_ok, requests_mock):
|
||||
def test_fetch_network_issue(src, type, requests_mock):
|
||||
body = requests.exceptions.ConnectionError("Network issue")
|
||||
requests_mock.add(responses.GET, fetch_url, body=body)
|
||||
with pytest.raises(exceptions.RequestError) as e:
|
||||
|
|
@ -289,21 +440,21 @@ def test_fetch_network_issue(src, type, crypto_ok, requests_mock):
|
|||
assert "Network issue" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_status(src, type, crypto_ok, requests_mock):
|
||||
def test_fetch_bad_status(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, fetch_url, status=500, body="Some other reason")
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("BTC", "AUD", type, "2021-01-01", "2021-01-07"))
|
||||
assert "Internal Server Error" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_parsing_error(src, type, crypto_ok, requests_mock):
|
||||
def test_fetch_parsing_error(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, fetch_url, body="NOT JSON")
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("BTC", "AUD", type, "2021-01-01", "2021-01-07"))
|
||||
assert "while parsing data" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_unexpected_json(src, type, crypto_ok, requests_mock):
|
||||
def test_fetch_unexpected_json(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, fetch_url, body='{"notdata": []}')
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("BTC", "AUD", type, "2021-01-01", "2021-01-07"))
|
||||
|
|
|
|||
30
tests/pricehist/sources/test_coinmarketcap/fiat-partial.json
Normal file
30
tests/pricehist/sources/test_coinmarketcap/fiat-partial.json
Normal file
|
|
@ -0,0 +1,30 @@
|
|||
{
|
||||
"status": {
|
||||
"timestamp": "2021-07-16T10:08:13.272Z",
|
||||
"error_code": 0,
|
||||
"error_message": null,
|
||||
"elapsed": 1,
|
||||
"credit_count": 0,
|
||||
"notice": null
|
||||
},
|
||||
"data": [
|
||||
{
|
||||
"id": 2781,
|
||||
"name": "United States Dollar",
|
||||
"sign": "$",
|
||||
"symbol": "USD"
|
||||
},
|
||||
{
|
||||
"id": 2782,
|
||||
"name": "Australian Dollar",
|
||||
"sign": "$",
|
||||
"symbol": "AUD"
|
||||
},
|
||||
{
|
||||
"id": 3575,
|
||||
"name": "Gold Troy Ounce",
|
||||
"symbol": "",
|
||||
"code": "XAU"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
@ -0,0 +1,255 @@
|
|||
{
|
||||
"status": {
|
||||
"timestamp": "2021-07-17T16:16:11.926Z",
|
||||
"error_code": 0,
|
||||
"error_message": null,
|
||||
"elapsed": 2262,
|
||||
"credit_count": 0,
|
||||
"notice": null
|
||||
},
|
||||
"data": {
|
||||
"id": 1,
|
||||
"name": "Bitcoin",
|
||||
"symbol": "BTC",
|
||||
"quotes": [
|
||||
{
|
||||
"time_open": "2013-04-28T00:00:00.000Z",
|
||||
"time_close": "2013-04-28T23:59:59.999Z",
|
||||
"time_high": "2013-04-28T18:50:02.000Z",
|
||||
"time_low": "2013-04-28T20:15:02.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": null,
|
||||
"high": 132.39216797540558,
|
||||
"low": 128.52695670705936,
|
||||
"close": 130.52908647526473,
|
||||
"volume": 0,
|
||||
"market_cap": 1447740447.626921,
|
||||
"timestamp": "2013-04-28T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2013-04-29T00:00:00.000Z",
|
||||
"time_close": "2013-04-29T23:59:59.999Z",
|
||||
"time_high": "2013-04-29T13:15:01.000Z",
|
||||
"time_low": "2013-04-29T05:20:01.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 130.75666236543535,
|
||||
"high": 142.67970067891736,
|
||||
"low": 129.9456943366951,
|
||||
"close": 139.77370978254794,
|
||||
"volume": 0,
|
||||
"market_cap": 1550883729.329852,
|
||||
"timestamp": "2013-04-29T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2013-04-30T00:00:00.000Z",
|
||||
"time_close": "2013-04-30T23:59:59.999Z",
|
||||
"time_high": "2013-04-30T08:25:02.000Z",
|
||||
"time_low": "2013-04-30T18:55:01.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 139.2515230635335,
|
||||
"high": 141.93391873626476,
|
||||
"low": 129.37940647790543,
|
||||
"close": 134.06635802469137,
|
||||
"volume": 0,
|
||||
"market_cap": 1488052782.6003087,
|
||||
"timestamp": "2013-04-30T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2013-05-01T00:00:00.000Z",
|
||||
"time_close": "2013-05-01T23:59:59.999Z",
|
||||
"time_high": "2013-05-01T00:15:01.000Z",
|
||||
"time_low": "2013-05-01T19:55:01.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 134.06635802469137,
|
||||
"high": 134.88573849160971,
|
||||
"low": 104.93911468163968,
|
||||
"close": 113.79243056489595,
|
||||
"volume": 0,
|
||||
"market_cap": 1263451603.6864119,
|
||||
"timestamp": "2013-05-01T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2013-05-02T00:00:00.000Z",
|
||||
"time_close": "2013-05-02T23:59:59.999Z",
|
||||
"time_high": "2013-05-02T14:25:01.000Z",
|
||||
"time_low": "2013-05-02T14:30:02.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 113.19910247390133,
|
||||
"high": 122.60835462135991,
|
||||
"low": 90.08385249759387,
|
||||
"close": 102.63388848353591,
|
||||
"volume": 0,
|
||||
"market_cap": 1139905858.2089553,
|
||||
"timestamp": "2013-05-02T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2013-05-03T00:00:00.000Z",
|
||||
"time_close": "2013-05-03T23:59:59.999Z",
|
||||
"time_high": "2013-05-03T05:30:02.000Z",
|
||||
"time_low": "2013-05-03T03:05:01.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 103.64842454394694,
|
||||
"high": 105.43929629649027,
|
||||
"low": 77.03544845551335,
|
||||
"close": 94.77409346519293,
|
||||
"volume": 0,
|
||||
"market_cap": 1052933070.3412836,
|
||||
"timestamp": "2013-05-03T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2013-05-04T00:00:00.000Z",
|
||||
"time_close": "2013-05-04T23:59:59.999Z",
|
||||
"time_high": "2013-05-04T07:15:01.000Z",
|
||||
"time_low": "2013-05-04T06:50:01.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 95.11343656595025,
|
||||
"high": 111.49893348846227,
|
||||
"low": 89.68392476245879,
|
||||
"close": 109.07504363001745,
|
||||
"volume": 0,
|
||||
"market_cap": 1212251854.2757416,
|
||||
"timestamp": "2013-05-04T23:59:00.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-01T00:00:00.000Z",
|
||||
"time_close": "2021-01-01T23:59:59.999Z",
|
||||
"time_high": "2021-01-01T12:38:43.000Z",
|
||||
"time_low": "2021-01-01T00:16:43.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 37658.83948707033,
|
||||
"high": 38417.9137031205,
|
||||
"low": 37410.787501639206,
|
||||
"close": 38181.99133300758,
|
||||
"volume": 52943282221.028366,
|
||||
"market_cap": 709720173049.5383,
|
||||
"timestamp": "2021-01-01T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-02T00:00:00.000Z",
|
||||
"time_close": "2021-01-02T23:59:59.999Z",
|
||||
"time_high": "2021-01-02T19:49:42.000Z",
|
||||
"time_low": "2021-01-02T00:31:44.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 38184.98611600682,
|
||||
"high": 43096.681197423015,
|
||||
"low": 37814.17187096531,
|
||||
"close": 41760.62923079505,
|
||||
"volume": 88214867181.97835,
|
||||
"market_cap": 776278147177.8037,
|
||||
"timestamp": "2021-01-02T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-03T00:00:00.000Z",
|
||||
"time_close": "2021-01-03T23:59:59.999Z",
|
||||
"time_high": "2021-01-03T07:47:38.000Z",
|
||||
"time_low": "2021-01-03T00:20:45.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 41763.41015117659,
|
||||
"high": 44985.93247585023,
|
||||
"low": 41663.204350601605,
|
||||
"close": 42511.10646879765,
|
||||
"volume": 102011582370.28117,
|
||||
"market_cap": 790270288834.0249,
|
||||
"timestamp": "2021-01-03T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-04T00:00:00.000Z",
|
||||
"time_close": "2021-01-04T23:59:59.999Z",
|
||||
"time_high": "2021-01-04T04:07:42.000Z",
|
||||
"time_low": "2021-01-04T10:19:42.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 42548.61349648768,
|
||||
"high": 43360.96165147421,
|
||||
"low": 37133.98436952697,
|
||||
"close": 41686.38761359174,
|
||||
"volume": 105824510346.65779,
|
||||
"market_cap": 774984045201.7122,
|
||||
"timestamp": "2021-01-04T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-05T00:00:00.000Z",
|
||||
"time_close": "2021-01-05T23:59:59.999Z",
|
||||
"time_high": "2021-01-05T22:44:35.000Z",
|
||||
"time_low": "2021-01-05T06:16:41.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 41693.07321807638,
|
||||
"high": 44403.79487147647,
|
||||
"low": 39221.81167941294,
|
||||
"close": 43790.067253370056,
|
||||
"volume": 87016490203.50436,
|
||||
"market_cap": 814135603090.2502,
|
||||
"timestamp": "2021-01-05T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-06T00:00:00.000Z",
|
||||
"time_close": "2021-01-06T23:59:59.999Z",
|
||||
"time_high": "2021-01-06T23:57:36.000Z",
|
||||
"time_low": "2021-01-06T00:25:38.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 43817.35864984641,
|
||||
"high": 47186.65232598287,
|
||||
"low": 43152.60281764236,
|
||||
"close": 47115.85365360005,
|
||||
"volume": 96330948324.8061,
|
||||
"market_cap": 876019742889.9551,
|
||||
"timestamp": "2021-01-06T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-07T00:00:00.000Z",
|
||||
"time_close": "2021-01-07T23:59:59.999Z",
|
||||
"time_high": "2021-01-07T18:17:42.000Z",
|
||||
"time_low": "2021-01-07T08:25:51.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 47128.02139328098,
|
||||
"high": 51833.478207775144,
|
||||
"low": 46906.65117139608,
|
||||
"close": 50686.90986207153,
|
||||
"volume": 109124136558.20264,
|
||||
"market_cap": 942469208700.134,
|
||||
"timestamp": "2021-01-07T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
136
tests/pricehist/sources/test_coinmarketcap/recent-btc-aud.json
Normal file
136
tests/pricehist/sources/test_coinmarketcap/recent-btc-aud.json
Normal file
|
|
@ -0,0 +1,136 @@
|
|||
{
|
||||
"status": {
|
||||
"timestamp": "2021-07-16T10:42:32.013Z",
|
||||
"error_code": 0,
|
||||
"error_message": null,
|
||||
"elapsed": 20,
|
||||
"credit_count": 0,
|
||||
"notice": null
|
||||
},
|
||||
"data": {
|
||||
"id": 1,
|
||||
"name": "Bitcoin",
|
||||
"symbol": "BTC",
|
||||
"quotes": [
|
||||
{
|
||||
"time_open": "2021-01-01T00:00:00.000Z",
|
||||
"time_close": "2021-01-01T23:59:59.999Z",
|
||||
"time_high": "2021-01-01T12:38:43.000Z",
|
||||
"time_low": "2021-01-01T00:16:43.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 37658.83948707033,
|
||||
"high": 38417.9137031205,
|
||||
"low": 37410.787501639206,
|
||||
"close": 38181.99133300758,
|
||||
"volume": 52943282221.028366,
|
||||
"market_cap": 709720173049.5383,
|
||||
"timestamp": "2021-01-01T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-02T00:00:00.000Z",
|
||||
"time_close": "2021-01-02T23:59:59.999Z",
|
||||
"time_high": "2021-01-02T19:49:42.000Z",
|
||||
"time_low": "2021-01-02T00:31:44.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 38184.98611600682,
|
||||
"high": 43096.681197423015,
|
||||
"low": 37814.17187096531,
|
||||
"close": 41760.62923079505,
|
||||
"volume": 88214867181.97835,
|
||||
"market_cap": 776278147177.8037,
|
||||
"timestamp": "2021-01-02T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-03T00:00:00.000Z",
|
||||
"time_close": "2021-01-03T23:59:59.999Z",
|
||||
"time_high": "2021-01-03T07:47:38.000Z",
|
||||
"time_low": "2021-01-03T00:20:45.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 41763.41015117659,
|
||||
"high": 44985.93247585023,
|
||||
"low": 41663.204350601605,
|
||||
"close": 42511.10646879765,
|
||||
"volume": 102011582370.28117,
|
||||
"market_cap": 790270288834.0249,
|
||||
"timestamp": "2021-01-03T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-04T00:00:00.000Z",
|
||||
"time_close": "2021-01-04T23:59:59.999Z",
|
||||
"time_high": "2021-01-04T04:07:42.000Z",
|
||||
"time_low": "2021-01-04T10:19:42.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 42548.61349648768,
|
||||
"high": 43360.96165147421,
|
||||
"low": 37133.98436952697,
|
||||
"close": 41686.38761359174,
|
||||
"volume": 105824510346.65779,
|
||||
"market_cap": 774984045201.7122,
|
||||
"timestamp": "2021-01-04T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-05T00:00:00.000Z",
|
||||
"time_close": "2021-01-05T23:59:59.999Z",
|
||||
"time_high": "2021-01-05T22:44:35.000Z",
|
||||
"time_low": "2021-01-05T06:16:41.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 41693.07321807638,
|
||||
"high": 44403.79487147647,
|
||||
"low": 39221.81167941294,
|
||||
"close": 43790.067253370056,
|
||||
"volume": 87016490203.50436,
|
||||
"market_cap": 814135603090.2502,
|
||||
"timestamp": "2021-01-05T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-06T00:00:00.000Z",
|
||||
"time_close": "2021-01-06T23:59:59.999Z",
|
||||
"time_high": "2021-01-06T23:57:36.000Z",
|
||||
"time_low": "2021-01-06T00:25:38.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 43817.35864984641,
|
||||
"high": 47186.65232598287,
|
||||
"low": 43152.60281764236,
|
||||
"close": 47115.85365360005,
|
||||
"volume": 96330948324.8061,
|
||||
"market_cap": 876019742889.9551,
|
||||
"timestamp": "2021-01-06T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-07T00:00:00.000Z",
|
||||
"time_close": "2021-01-07T23:59:59.999Z",
|
||||
"time_high": "2021-01-07T18:17:42.000Z",
|
||||
"time_low": "2021-01-07T08:25:51.000Z",
|
||||
"quote": {
|
||||
"AUD": {
|
||||
"open": 47128.02139328098,
|
||||
"high": 51833.478207775144,
|
||||
"low": 46906.65117139608,
|
||||
"close": 50686.90986207153,
|
||||
"volume": 109124136558.20264,
|
||||
"market_cap": 942469208700.134,
|
||||
"timestamp": "2021-01-07T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,136 @@
|
|||
{
|
||||
"status": {
|
||||
"timestamp": "2021-07-16T10:42:27.169Z",
|
||||
"error_code": 0,
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||||
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|
||||
"elapsed": 19,
|
||||
"credit_count": 0,
|
||||
"notice": null
|
||||
},
|
||||
"data": {
|
||||
"id": 1,
|
||||
"name": "Bitcoin",
|
||||
"symbol": "BTC",
|
||||
"quotes": [
|
||||
{
|
||||
"time_open": "2021-01-01T00:00:00.000Z",
|
||||
"time_close": "2021-01-01T23:59:59.999Z",
|
||||
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|
||||
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||||
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|
||||
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|
||||
}
|
||||
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|
||||
},
|
||||
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|
||||
"time_open": "2021-01-02T00:00:00.000Z",
|
||||
"time_close": "2021-01-02T23:59:59.999Z",
|
||||
"time_high": "2021-01-02T19:49:42.000Z",
|
||||
"time_low": "2021-01-02T00:31:44.000Z",
|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"time_open": "2021-01-03T00:00:00.000Z",
|
||||
"time_close": "2021-01-03T23:59:59.999Z",
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"time_open": "2021-01-05T00:00:00.000Z",
|
||||
"time_close": "2021-01-05T23:59:59.999Z",
|
||||
"time_high": "2021-01-05T22:44:35.000Z",
|
||||
"time_low": "2021-01-05T06:16:41.000Z",
|
||||
"quote": {
|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"time_open": "2021-01-06T00:00:00.000Z",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
"time_open": "2021-01-07T00:00:00.000Z",
|
||||
"time_close": "2021-01-07T23:59:59.999Z",
|
||||
"time_high": "2021-01-07T18:17:42.000Z",
|
||||
"time_low": "2021-01-07T08:25:51.000Z",
|
||||
"quote": {
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
136
tests/pricehist/sources/test_coinmarketcap/recent-id1-aud.json
Normal file
136
tests/pricehist/sources/test_coinmarketcap/recent-id1-aud.json
Normal file
|
|
@ -0,0 +1,136 @@
|
|||
{
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
"symbol": "BTC",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"time_open": "2021-01-02T00:00:00.000Z",
|
||||
"time_close": "2021-01-02T23:59:59.999Z",
|
||||
"time_high": "2021-01-02T19:49:42.000Z",
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
}
|
||||
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|
||||
{
|
||||
"time_open": "2021-01-03T00:00:00.000Z",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
},
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||||
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|
||||
"time_open": "2021-01-04T00:00:00.000Z",
|
||||
"time_close": "2021-01-04T23:59:59.999Z",
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||||
"time_high": "2021-01-04T04:07:42.000Z",
|
||||
"time_low": "2021-01-04T10:19:42.000Z",
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
"time_close": "2021-01-07T23:59:59.999Z",
|
||||
"time_high": "2021-01-07T18:17:42.000Z",
|
||||
"time_low": "2021-01-07T08:25:51.000Z",
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
}
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||||
}
|
||||
|
|
@ -1,129 +1,136 @@
|
|||
{
|
||||
"status": {
|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"time_close": "2021-01-03T23:59:59.999Z",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"time_low": "2021-01-04T10:19:42.000Z",
|
||||
"quote": {
|
||||
"name": "2782",
|
||||
"open": 42548.6134964877,
|
||||
"high": 43347.7527651400,
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||||
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||||
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|
||||
"volume": 105251252720.3013091567,
|
||||
"marketCap": 770785910830.3801120744,
|
||||
"timestamp": "2021-01-04T23:59:59.999Z"
|
||||
"2782": {
|
||||
"open": 42548.61349648768,
|
||||
"high": 43360.96165147421,
|
||||
"low": 37133.98436952697,
|
||||
"close": 41686.38761359174,
|
||||
"volume": 105824510346.65779,
|
||||
"market_cap": 774984045201.7122,
|
||||
"timestamp": "2021-01-04T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"timeOpen": "2021-01-05T00:00:00.000Z",
|
||||
"timeClose": "2021-01-05T23:59:59.999Z",
|
||||
"timeHigh": "2021-01-05T22:44:35.000Z",
|
||||
"timeLow": "2021-01-05T06:16:41.000Z",
|
||||
"time_open": "2021-01-05T00:00:00.000Z",
|
||||
"time_close": "2021-01-05T23:59:59.999Z",
|
||||
"time_high": "2021-01-05T22:44:35.000Z",
|
||||
"time_low": "2021-01-05T06:16:41.000Z",
|
||||
"quote": {
|
||||
"name": "2782",
|
||||
"open": 41693.0732180764,
|
||||
"high": 44406.6531914952,
|
||||
"low": 39220.9654861842,
|
||||
"close": 43777.4560620835,
|
||||
"volume": 88071174132.6445648582,
|
||||
"marketCap": 824003338903.4613958343,
|
||||
"timestamp": "2021-01-05T23:59:59.999Z"
|
||||
"2782": {
|
||||
"open": 41693.07321807638,
|
||||
"high": 44403.79487147647,
|
||||
"low": 39221.81167941294,
|
||||
"close": 43790.067253370056,
|
||||
"volume": 87016490203.50436,
|
||||
"market_cap": 814135603090.2502,
|
||||
"timestamp": "2021-01-05T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"timeOpen": "2021-01-06T00:00:00.000Z",
|
||||
"timeClose": "2021-01-06T23:59:59.999Z",
|
||||
"timeHigh": "2021-01-06T23:57:36.000Z",
|
||||
"timeLow": "2021-01-06T00:25:38.000Z",
|
||||
"time_open": "2021-01-06T00:00:00.000Z",
|
||||
"time_close": "2021-01-06T23:59:59.999Z",
|
||||
"time_high": "2021-01-06T23:57:36.000Z",
|
||||
"time_low": "2021-01-06T00:25:38.000Z",
|
||||
"quote": {
|
||||
"name": "2782",
|
||||
"open": 43798.3790529373,
|
||||
"high": 47185.7303335186,
|
||||
"low": 43152.6028176424,
|
||||
"close": 47114.9330444897,
|
||||
"volume": 96948095813.7503737302,
|
||||
"marketCap": 881631993096.0701475336,
|
||||
"timestamp": "2021-01-06T23:59:59.999Z"
|
||||
"2782": {
|
||||
"open": 43817.35864984641,
|
||||
"high": 47186.65232598287,
|
||||
"low": 43152.60281764236,
|
||||
"close": 47115.85365360005,
|
||||
"volume": 96330948324.8061,
|
||||
"market_cap": 876019742889.9551,
|
||||
"timestamp": "2021-01-06T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
"timeOpen": "2021-01-07T00:00:00.000Z",
|
||||
"timeClose": "2021-01-07T23:59:59.999Z",
|
||||
"timeHigh": "2021-01-07T18:17:42.000Z",
|
||||
"timeLow": "2021-01-07T08:25:51.000Z",
|
||||
"time_open": "2021-01-07T00:00:00.000Z",
|
||||
"time_close": "2021-01-07T23:59:59.999Z",
|
||||
"time_high": "2021-01-07T18:17:42.000Z",
|
||||
"time_low": "2021-01-07T08:25:51.000Z",
|
||||
"quote": {
|
||||
"name": "2782",
|
||||
"open": 47128.0213932810,
|
||||
"high": 51832.6746004172,
|
||||
"low": 46906.6511713961,
|
||||
"close": 50660.9643451606,
|
||||
"volume": 108451040396.2660095877,
|
||||
"marketCap": 936655898949.2177196744,
|
||||
"timestamp": "2021-01-07T23:59:59.999Z"
|
||||
"2782": {
|
||||
"open": 47128.02139328098,
|
||||
"high": 51833.478207775144,
|
||||
"low": 46906.65117139608,
|
||||
"close": 50686.90986207153,
|
||||
"volume": 109124136558.20264,
|
||||
"market_cap": 942469208700.134,
|
||||
"timestamp": "2021-01-07T23:59:06.000Z"
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"status": {
|
||||
"timestamp": "2024-08-02T18:23:21.586Z",
|
||||
"error_code": "0",
|
||||
"error_message": "SUCCESS",
|
||||
"elapsed": "212",
|
||||
"credit_count": 0
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -36,28 +36,38 @@ def requests_mock():
|
|||
yield mock
|
||||
|
||||
|
||||
def url(base):
|
||||
return f"https://query1.finance.yahoo.com/v8/finance/chart/{base}"
|
||||
spark_url = "https://query1.finance.yahoo.com/v7/finance/spark"
|
||||
|
||||
|
||||
def history_url(base):
|
||||
return f"https://query1.finance.yahoo.com/v7/finance/download/{base}"
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def spark_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "tsla-spark.json").read_text()
|
||||
requests_mock.add(responses.GET, spark_url, body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def recent_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "tsla-recent.json").read_text()
|
||||
requests_mock.add(responses.GET, url("TSLA"), body=json, status=200)
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "tsla-recent.csv").read_text()
|
||||
requests_mock.add(responses.GET, history_url("TSLA"), body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def long_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "ibm-long-partial.json").read_text()
|
||||
requests_mock.add(responses.GET, url("IBM"), body=json, status=200)
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "ibm-long-partial.csv").read_text()
|
||||
requests_mock.add(responses.GET, history_url("IBM"), body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def with_null_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "inrx-with-null.json").read_text()
|
||||
requests_mock.add(responses.GET, url("INR=X"), body=json, status=200)
|
||||
def date_with_nulls_ok(requests_mock):
|
||||
json = (Path(os.path.splitext(__file__)[0]) / "ibm-date-with-nulls.csv").read_text()
|
||||
requests_mock.add(responses.GET, history_url("IBM"), body=json, status=200)
|
||||
yield requests_mock
|
||||
|
||||
|
||||
|
|
@ -95,57 +105,59 @@ def test_symbols(src, caplog):
|
|||
assert any(["Find the symbol of interest on" in r.message for r in caplog.records])
|
||||
|
||||
|
||||
def test_fetch_known(src, type, recent_ok):
|
||||
def test_fetch_known(src, type, spark_ok, recent_ok):
|
||||
series = src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
req = recent_ok.calls[0].request
|
||||
assert req.params["events"] == "capitalGain%7Cdiv%7Csplit"
|
||||
assert req.params["includeAdjustedClose"] == "true"
|
||||
spark_req = recent_ok.calls[0].request
|
||||
hist_req = recent_ok.calls[1].request
|
||||
assert spark_req.params["symbols"] == "TSLA"
|
||||
assert hist_req.params["events"] == "history"
|
||||
assert hist_req.params["includeAdjustedClose"] == "true"
|
||||
assert (series.base, series.quote) == ("TSLA", "USD")
|
||||
assert len(series.prices) == 5
|
||||
|
||||
|
||||
def test_fetch_requests_and_receives_correct_times(src, type, recent_ok):
|
||||
def test_fetch_requests_and_receives_correct_times(src, type, spark_ok, recent_ok):
|
||||
series = src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
req = recent_ok.calls[0].request
|
||||
assert req.params["period1"] == str(timestamp("2021-01-04"))
|
||||
assert req.params["period2"] == str(timestamp("2021-01-09")) # rounded up one
|
||||
assert req.params["interval"] == "1d"
|
||||
assert series.prices[0] == Price("2021-01-04", Decimal("243.2566680908203125"))
|
||||
assert series.prices[-1] == Price("2021-01-08", Decimal("293.339996337890625"))
|
||||
hist_req = recent_ok.calls[1].request
|
||||
assert hist_req.params["period1"] == str(timestamp("2021-01-04"))
|
||||
assert hist_req.params["period2"] == str(timestamp("2021-01-09")) # rounded up one
|
||||
assert hist_req.params["interval"] == "1d"
|
||||
assert series.prices[0] == Price("2021-01-04", Decimal("729.770020"))
|
||||
assert series.prices[-1] == Price("2021-01-08", Decimal("880.020020"))
|
||||
|
||||
|
||||
def test_fetch_ignores_any_extra_row(src, type, recent_ok):
|
||||
def test_fetch_ignores_any_extra_row(src, type, spark_ok, recent_ok):
|
||||
series = src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-07"))
|
||||
assert series.prices[0] == Price("2021-01-04", Decimal("243.2566680908203125"))
|
||||
assert series.prices[-1] == Price("2021-01-07", Decimal("272.013336181640625"))
|
||||
assert series.prices[0] == Price("2021-01-04", Decimal("729.770020"))
|
||||
assert series.prices[-1] == Price("2021-01-07", Decimal("816.039978"))
|
||||
|
||||
|
||||
def test_fetch_requests_logged(src, type, recent_ok, caplog):
|
||||
def test_fetch_requests_logged(src, type, spark_ok, recent_ok, caplog):
|
||||
with caplog.at_level(logging.DEBUG):
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
logged_requests = 0
|
||||
for r in caplog.records:
|
||||
if r.levelname == "DEBUG" and "curl " in r.message:
|
||||
logged_requests += 1
|
||||
assert logged_requests == 1
|
||||
assert logged_requests == 2
|
||||
|
||||
|
||||
def test_fetch_types_all_available(src, recent_ok):
|
||||
def test_fetch_types_all_available(src, spark_ok, recent_ok):
|
||||
adj = src.fetch(Series("TSLA", "", "adjclose", "2021-01-04", "2021-01-08"))
|
||||
opn = src.fetch(Series("TSLA", "", "open", "2021-01-04", "2021-01-08"))
|
||||
hgh = src.fetch(Series("TSLA", "", "high", "2021-01-04", "2021-01-08"))
|
||||
low = src.fetch(Series("TSLA", "", "low", "2021-01-04", "2021-01-08"))
|
||||
cls = src.fetch(Series("TSLA", "", "close", "2021-01-04", "2021-01-08"))
|
||||
mid = src.fetch(Series("TSLA", "", "mid", "2021-01-04", "2021-01-08"))
|
||||
assert adj.prices[0].amount == Decimal("243.2566680908203125")
|
||||
assert opn.prices[0].amount == Decimal("239.82000732421875")
|
||||
assert hgh.prices[0].amount == Decimal("248.163330078125")
|
||||
assert low.prices[0].amount == Decimal("239.0633392333984375")
|
||||
assert cls.prices[0].amount == Decimal("243.2566680908203125")
|
||||
assert mid.prices[0].amount == Decimal("243.61333465576171875")
|
||||
assert adj.prices[0].amount == Decimal("729.770020")
|
||||
assert opn.prices[0].amount == Decimal("719.460022")
|
||||
assert hgh.prices[0].amount == Decimal("744.489990")
|
||||
assert low.prices[0].amount == Decimal("717.190002")
|
||||
assert cls.prices[0].amount == Decimal("729.770020")
|
||||
assert mid.prices[0].amount == Decimal("730.839996")
|
||||
|
||||
|
||||
def test_fetch_type_mid_is_mean_of_low_and_high(src, recent_ok):
|
||||
def test_fetch_type_mid_is_mean_of_low_and_high(src, spark_ok, recent_ok):
|
||||
mid = src.fetch(Series("TSLA", "", "mid", "2021-01-04", "2021-01-08")).prices
|
||||
hgh = src.fetch(Series("TSLA", "", "high", "2021-01-04", "2021-01-08")).prices
|
||||
low = src.fetch(Series("TSLA", "", "low", "2021-01-04", "2021-01-08")).prices
|
||||
|
|
@ -157,29 +169,29 @@ def test_fetch_type_mid_is_mean_of_low_and_high(src, recent_ok):
|
|||
)
|
||||
|
||||
|
||||
def test_fetch_from_before_start(src, type, long_ok):
|
||||
def test_fetch_from_before_start(src, type, spark_ok, long_ok):
|
||||
series = src.fetch(Series("IBM", "", type, "1900-01-01", "2021-01-08"))
|
||||
assert series.prices[0] == Price("1962-01-02", Decimal("1.5133211612701416015625"))
|
||||
assert series.prices[-1] == Price("2021-01-08", Decimal("103.2923736572265625"))
|
||||
assert series.prices[0] == Price("1962-01-02", Decimal("1.837710"))
|
||||
assert series.prices[-1] == Price("2021-01-08", Decimal("125.433624"))
|
||||
assert len(series.prices) > 9
|
||||
|
||||
|
||||
def test_fetch_skips_dates_with_nulls(src, type, with_null_ok):
|
||||
series = src.fetch(Series("INR=X", "", type, "2017-07-10", "2017-07-12"))
|
||||
assert series.prices[0] == Price("2017-07-10", Decimal("64.61170196533203125"))
|
||||
assert series.prices[1] == Price("2017-07-12", Decimal("64.52559661865234375"))
|
||||
def test_fetch_skips_dates_with_nulls(src, type, spark_ok, date_with_nulls_ok):
|
||||
series = src.fetch(Series("IBM", "", type, "2021-01-05", "2021-01-07"))
|
||||
assert series.prices[0] == Price("2021-01-05", Decimal("123.101204"))
|
||||
assert series.prices[1] == Price("2021-01-07", Decimal("125.882545"))
|
||||
assert len(series.prices) == 2
|
||||
|
||||
|
||||
def test_fetch_to_future(src, type, recent_ok):
|
||||
def test_fetch_to_future(src, type, spark_ok, recent_ok):
|
||||
series = src.fetch(Series("TSLA", "", type, "2021-01-04", "2100-01-08"))
|
||||
assert len(series.prices) > 0
|
||||
|
||||
|
||||
def test_fetch_no_data_in_past(src, type, requests_mock):
|
||||
def test_fetch_no_data_in_past(src, type, spark_ok, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
url("TSLA"),
|
||||
history_url("TSLA"),
|
||||
status=400,
|
||||
body=(
|
||||
"400 Bad Request: Data doesn't exist for "
|
||||
|
|
@ -191,10 +203,10 @@ def test_fetch_no_data_in_past(src, type, requests_mock):
|
|||
assert "No data for the given interval" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_no_data_in_future(src, type, requests_mock):
|
||||
def test_fetch_no_data_in_future(src, type, spark_ok, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
url("TSLA"),
|
||||
history_url("TSLA"),
|
||||
status=400,
|
||||
body=(
|
||||
"400 Bad Request: Data doesn't exist for "
|
||||
|
|
@ -206,10 +218,10 @@ def test_fetch_no_data_in_future(src, type, requests_mock):
|
|||
assert "No data for the given interval" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_no_data_on_weekend(src, type, requests_mock):
|
||||
def test_fetch_no_data_on_weekend(src, type, spark_ok, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
url("TSLA"),
|
||||
history_url("TSLA"),
|
||||
status=404,
|
||||
body="404 Not Found: Timestamp data missing.",
|
||||
)
|
||||
|
|
@ -221,7 +233,30 @@ def test_fetch_no_data_on_weekend(src, type, requests_mock):
|
|||
def test_fetch_bad_sym(src, type, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
url("NOTABASE"),
|
||||
spark_url,
|
||||
status=404,
|
||||
body="""{
|
||||
"spark": {
|
||||
"result": null,
|
||||
"error": {
|
||||
"code": "Not Found",
|
||||
"description": "No data found for spark symbols"
|
||||
}
|
||||
}
|
||||
}""",
|
||||
)
|
||||
with pytest.raises(exceptions.InvalidPair) as e:
|
||||
src.fetch(Series("NOTABASE", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "Symbol not found" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_sym_history(src, type, spark_ok, requests_mock):
|
||||
# In practice the spark history requests should succeed or fail together.
|
||||
# This extra test ensures that a failure of the the history part is handled
|
||||
# correctly even if the spark part succeeds.
|
||||
requests_mock.add(
|
||||
responses.GET,
|
||||
history_url("NOTABASE"),
|
||||
status=404,
|
||||
body="404 Not Found: No data found, symbol may be delisted",
|
||||
)
|
||||
|
|
@ -236,23 +271,61 @@ def test_fetch_giving_quote(src, type):
|
|||
assert "quote currency" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_network_issue(src, type, requests_mock):
|
||||
def test_fetch_spark_network_issue(src, type, requests_mock):
|
||||
body = requests.exceptions.ConnectionError("Network issue")
|
||||
requests_mock.add(responses.GET, url("TSLA"), body=body)
|
||||
requests_mock.add(responses.GET, spark_url, body=body)
|
||||
with pytest.raises(exceptions.RequestError) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "Network issue" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_bad_status(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, url("TSLA"), status=500, body="Some other reason")
|
||||
def test_fetch_spark_bad_status(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, spark_url, status=500, body="Some other reason")
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "Internal Server Error" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_parsing_error(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, url("TSLA"), body="")
|
||||
def test_fetch_spark_parsing_error(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, spark_url, body="NOT JSON")
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "spark data couldn't be parsed" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_spark_unexpected_json(src, type, requests_mock):
|
||||
requests_mock.add(responses.GET, spark_url, body='{"notdata": []}')
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "spark data couldn't be parsed" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_history_network_issue(src, type, spark_ok, requests_mock):
|
||||
body = requests.exceptions.ConnectionError("Network issue")
|
||||
requests_mock.add(responses.GET, history_url("TSLA"), body=body)
|
||||
with pytest.raises(exceptions.RequestError) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "Network issue" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_history_bad_status(src, type, spark_ok, requests_mock):
|
||||
requests_mock.add(
|
||||
responses.GET, history_url("TSLA"), status=500, body="Some other reason"
|
||||
)
|
||||
with pytest.raises(exceptions.BadResponse) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "Internal Server Error" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_history_parsing_error(src, type, spark_ok, requests_mock):
|
||||
requests_mock.add(responses.GET, history_url("TSLA"), body="")
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "error occurred while parsing data from the source" in str(e.value)
|
||||
|
||||
|
||||
def test_fetch_history_unexpected_csv_format(src, type, spark_ok, requests_mock):
|
||||
requests_mock.add(responses.GET, history_url("TSLA"), body="BAD HEADER\nBAD DATA")
|
||||
with pytest.raises(exceptions.ResponseParsingError) as e:
|
||||
src.fetch(Series("TSLA", "", type, "2021-01-04", "2021-01-08"))
|
||||
assert "Unexpected CSV format" in str(e.value)
|
||||
|
|
|
|||
|
|
@ -0,0 +1,4 @@
|
|||
Date,Open,High,Low,Close,Adj Close,Volume
|
||||
2021-01-05,125.010002,126.680000,124.610001,126.139999,123.101204,6114600
|
||||
2021-01-06,null,null,null,null,null,null
|
||||
2021-01-07,130.039993,130.460007,128.259995,128.990005,125.882545,4507400
|
||||
|
11
tests/pricehist/sources/test_yahoo/ibm-long-partial.csv
Normal file
11
tests/pricehist/sources/test_yahoo/ibm-long-partial.csv
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
Date,Open,High,Low,Close,Adj Close,Volume
|
||||
1962-01-02,7.713333,7.713333,7.626667,7.626667,1.837710,390000
|
||||
1962-01-03,7.626667,7.693333,7.626667,7.693333,1.853774,292500
|
||||
1962-01-04,7.693333,7.693333,7.613333,7.616667,1.835299,262500
|
||||
1962-01-05,7.606667,7.606667,7.453333,7.466667,1.799155,367500
|
||||
1962-01-08,7.460000,7.460000,7.266667,7.326667,1.765422,547500
|
||||
2021-01-04,125.849998,125.919998,123.040001,123.940002,120.954201,5179200
|
||||
2021-01-05,125.010002,126.680000,124.610001,126.139999,123.101204,6114600
|
||||
2021-01-06,126.900002,131.880005,126.720001,129.289993,126.175316,7956700
|
||||
2021-01-07,130.039993,130.460007,128.259995,128.990005,125.882545,4507400
|
||||
2021-01-08,128.570007,129.320007,126.980003,128.529999,125.433624,4676200
|
||||
|
|
|
@ -1,249 +0,0 @@
|
|||
{
|
||||
"chart": {
|
||||
"result": [
|
||||
{
|
||||
"meta": {
|
||||
"currency": "USD",
|
||||
"symbol": "IBM",
|
||||
"exchangeName": "NYQ",
|
||||
"fullExchangeName": "NYSE",
|
||||
"instrumentType": "EQUITY",
|
||||
"firstTradeDate": -252322200,
|
||||
"regularMarketTime": 1726257602,
|
||||
"hasPrePostMarketData": true,
|
||||
"gmtoffset": -14400,
|
||||
"timezone": "EDT",
|
||||
"exchangeTimezoneName": "America/New_York",
|
||||
"regularMarketPrice": 214.79,
|
||||
"fiftyTwoWeekHigh": 216.08,
|
||||
"fiftyTwoWeekLow": 212.13,
|
||||
"regularMarketDayHigh": 216.08,
|
||||
"regularMarketDayLow": 212.13,
|
||||
"regularMarketVolume": 4553547,
|
||||
"longName": "International Business Machines Corporation",
|
||||
"shortName": "International Business Machines",
|
||||
"chartPreviousClose": 7.291,
|
||||
"priceHint": 2,
|
||||
"currentTradingPeriod": {
|
||||
"pre": {
|
||||
"timezone": "EDT",
|
||||
"end": 1726234200,
|
||||
"start": 1726214400,
|
||||
"gmtoffset": -14400
|
||||
},
|
||||
"regular": {
|
||||
"timezone": "EDT",
|
||||
"end": 1726257600,
|
||||
"start": 1726234200,
|
||||
"gmtoffset": -14400
|
||||
},
|
||||
"post": {
|
||||
"timezone": "EDT",
|
||||
"end": 1726272000,
|
||||
"start": 1726257600,
|
||||
"gmtoffset": -14400
|
||||
}
|
||||
},
|
||||
"dataGranularity": "1d",
|
||||
"range": "",
|
||||
"validRanges": [
|
||||
"1d",
|
||||
"5d",
|
||||
"1mo",
|
||||
"3mo",
|
||||
"6mo",
|
||||
"1y",
|
||||
"2y",
|
||||
"5y",
|
||||
"10y",
|
||||
"ytd",
|
||||
"max"
|
||||
]
|
||||
},
|
||||
"timestamp": [
|
||||
-252322200,
|
||||
-252235800,
|
||||
-252149400,
|
||||
-252063000,
|
||||
-251803800,
|
||||
1609770600,
|
||||
1609857000,
|
||||
1609943400,
|
||||
1610029800,
|
||||
1610116200
|
||||
],
|
||||
"events": {
|
||||
"dividends": {
|
||||
"-249298200": {
|
||||
"amount": 0.000956,
|
||||
"date": -249298200
|
||||
},
|
||||
"-241439400": {
|
||||
"amount": 0.000956,
|
||||
"date": -241439400
|
||||
},
|
||||
"-233577000": {
|
||||
"amount": 0.000956,
|
||||
"date": -233577000
|
||||
},
|
||||
"-225797400": {
|
||||
"amount": 0.000956,
|
||||
"date": -225797400
|
||||
},
|
||||
"-217848600": {
|
||||
"amount": 0.001275,
|
||||
"date": -217848600
|
||||
},
|
||||
"1573137000": {
|
||||
"amount": 1.548757,
|
||||
"date": 1573137000
|
||||
},
|
||||
"1581085800": {
|
||||
"amount": 1.548757,
|
||||
"date": 1581085800
|
||||
},
|
||||
"1588858200": {
|
||||
"amount": 1.558317,
|
||||
"date": 1588858200
|
||||
},
|
||||
"1596807000": {
|
||||
"amount": 1.558317,
|
||||
"date": 1596807000
|
||||
},
|
||||
"1604932200": {
|
||||
"amount": 1.558317,
|
||||
"date": 1604932200
|
||||
}
|
||||
},
|
||||
"splits": {
|
||||
"-177417000": {
|
||||
"date": -177417000,
|
||||
"numerator": 5.0,
|
||||
"denominator": 4.0,
|
||||
"splitRatio": "5:4"
|
||||
},
|
||||
"-114345000": {
|
||||
"date": -114345000,
|
||||
"numerator": 3.0,
|
||||
"denominator": 2.0,
|
||||
"splitRatio": "3:2"
|
||||
},
|
||||
"-53343000": {
|
||||
"date": -53343000,
|
||||
"numerator": 2.0,
|
||||
"denominator": 1.0,
|
||||
"splitRatio": "2:1"
|
||||
},
|
||||
"107530200": {
|
||||
"date": 107530200,
|
||||
"numerator": 5.0,
|
||||
"denominator": 4.0,
|
||||
"splitRatio": "5:4"
|
||||
},
|
||||
"297091800": {
|
||||
"date": 297091800,
|
||||
"numerator": 4.0,
|
||||
"denominator": 1.0,
|
||||
"splitRatio": "4:1"
|
||||
},
|
||||
"864826200": {
|
||||
"date": 864826200,
|
||||
"numerator": 2.0,
|
||||
"denominator": 1.0,
|
||||
"splitRatio": "2:1"
|
||||
},
|
||||
"927811800": {
|
||||
"date": 927811800,
|
||||
"numerator": 2.0,
|
||||
"denominator": 1.0,
|
||||
"splitRatio": "2:1"
|
||||
}
|
||||
}
|
||||
},
|
||||
"indicators": {
|
||||
"quote": [
|
||||
{
|
||||
"close": [
|
||||
7.2912678718566895,
|
||||
7.3550028800964355,
|
||||
7.281707763671875,
|
||||
7.138305187225342,
|
||||
7.00446081161499,
|
||||
118.48948669433594,
|
||||
120.59273529052734,
|
||||
123.60420989990234,
|
||||
123.31739807128906,
|
||||
122.87763214111328
|
||||
],
|
||||
"low": [
|
||||
7.2912678718566895,
|
||||
7.2912678718566895,
|
||||
7.2785210609436035,
|
||||
7.125557899475098,
|
||||
6.9471001625061035,
|
||||
117.62906646728516,
|
||||
119.13002014160156,
|
||||
121.14722442626953,
|
||||
122.61949920654297,
|
||||
121.39579010009766
|
||||
],
|
||||
"open": [
|
||||
7.374124050140381,
|
||||
7.2912678718566895,
|
||||
7.3550028800964355,
|
||||
7.272148132324219,
|
||||
7.131930828094482,
|
||||
120.31549072265625,
|
||||
119.5124282836914,
|
||||
121.3193130493164,
|
||||
124.32122039794922,
|
||||
122.9158706665039
|
||||
],
|
||||
"high": [
|
||||
7.374124050140381,
|
||||
7.3550028800964355,
|
||||
7.3550028800964355,
|
||||
7.272148132324219,
|
||||
7.131930828094482,
|
||||
120.38240814208984,
|
||||
121.1089859008789,
|
||||
126.08030700683594,
|
||||
124.7227554321289,
|
||||
123.63288879394531
|
||||
],
|
||||
"volume": [
|
||||
407940,
|
||||
305955,
|
||||
274575,
|
||||
384405,
|
||||
572685,
|
||||
5417443,
|
||||
6395872,
|
||||
8322708,
|
||||
4714740,
|
||||
4891305
|
||||
]
|
||||
}
|
||||
],
|
||||
"adjclose": [
|
||||
{
|
||||
"adjclose": [
|
||||
1.5133211612701416,
|
||||
1.5265485048294067,
|
||||
1.5113375186920166,
|
||||
1.4815733432769775,
|
||||
1.4537923336029053,
|
||||
99.60364532470703,
|
||||
101.37164306640625,
|
||||
103.90313720703125,
|
||||
103.66202545166016,
|
||||
103.29237365722656
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
"error": null
|
||||
}
|
||||
}
|
||||
|
|
@ -1,119 +0,0 @@
|
|||
{
|
||||
"chart": {
|
||||
"result": [
|
||||
{
|
||||
"meta": {
|
||||
"currency": "INR",
|
||||
"symbol": "INR=X",
|
||||
"exchangeName": "CCY",
|
||||
"fullExchangeName": "CCY",
|
||||
"instrumentType": "CURRENCY",
|
||||
"firstTradeDate": 1070236800,
|
||||
"regularMarketTime": 1726284616,
|
||||
"hasPrePostMarketData": false,
|
||||
"gmtoffset": 3600,
|
||||
"timezone": "BST",
|
||||
"exchangeTimezoneName": "Europe/London",
|
||||
"regularMarketPrice": 83.89,
|
||||
"fiftyTwoWeekHigh": 83.89,
|
||||
"fiftyTwoWeekLow": 83.89,
|
||||
"regularMarketDayHigh": 83.89,
|
||||
"regularMarketDayLow": 83.89,
|
||||
"regularMarketVolume": 0,
|
||||
"longName": "USD/INR",
|
||||
"shortName": "USD/INR",
|
||||
"chartPreviousClose": 64.6117,
|
||||
"priceHint": 4,
|
||||
"currentTradingPeriod": {
|
||||
"pre": {
|
||||
"timezone": "BST",
|
||||
"start": 1726182000,
|
||||
"end": 1726182000,
|
||||
"gmtoffset": 3600
|
||||
},
|
||||
"regular": {
|
||||
"timezone": "BST",
|
||||
"start": 1726182000,
|
||||
"end": 1726268340,
|
||||
"gmtoffset": 3600
|
||||
},
|
||||
"post": {
|
||||
"timezone": "BST",
|
||||
"start": 1726268340,
|
||||
"end": 1726268340,
|
||||
"gmtoffset": 3600
|
||||
}
|
||||
},
|
||||
"dataGranularity": "1d",
|
||||
"range": "",
|
||||
"validRanges": [
|
||||
"1d",
|
||||
"5d",
|
||||
"1mo",
|
||||
"3mo",
|
||||
"6mo",
|
||||
"1y",
|
||||
"2y",
|
||||
"5y",
|
||||
"10y",
|
||||
"ytd",
|
||||
"max"
|
||||
]
|
||||
},
|
||||
"timestamp": [
|
||||
1499641200,
|
||||
1499727600,
|
||||
1499814000,
|
||||
1499900400
|
||||
],
|
||||
"indicators": {
|
||||
"quote": [
|
||||
{
|
||||
"open": [
|
||||
64.6155014038086,
|
||||
null,
|
||||
64.55549621582031,
|
||||
64.46800231933594
|
||||
],
|
||||
"volume": [
|
||||
0,
|
||||
null,
|
||||
0,
|
||||
0
|
||||
],
|
||||
"low": [
|
||||
64.41000366210938,
|
||||
null,
|
||||
64.3499984741211,
|
||||
64.33999633789062
|
||||
],
|
||||
"close": [
|
||||
64.61170196533203,
|
||||
null,
|
||||
64.52559661865234,
|
||||
64.36499786376953
|
||||
],
|
||||
"high": [
|
||||
64.6155014038086,
|
||||
null,
|
||||
64.56999969482422,
|
||||
64.48419952392578
|
||||
]
|
||||
}
|
||||
],
|
||||
"adjclose": [
|
||||
{
|
||||
"adjclose": [
|
||||
64.61170196533203,
|
||||
null,
|
||||
64.52559661865234,
|
||||
64.36499786376953
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
"error": null
|
||||
}
|
||||
}
|
||||
6
tests/pricehist/sources/test_yahoo/tsla-recent.csv
Normal file
6
tests/pricehist/sources/test_yahoo/tsla-recent.csv
Normal file
|
|
@ -0,0 +1,6 @@
|
|||
Date,Open,High,Low,Close,Adj Close,Volume
|
||||
2021-01-04,719.460022,744.489990,717.190002,729.770020,729.770020,48638200
|
||||
2021-01-05,723.659973,740.840027,719.200012,735.109985,735.109985,32245200
|
||||
2021-01-06,758.489990,774.000000,749.099976,755.979980,755.979980,44700000
|
||||
2021-01-07,777.630005,816.989990,775.200012,816.039978,816.039978,51498900
|
||||
2021-01-08,856.000000,884.489990,838.390015,880.020020,880.020020,75055500
|
||||
|
|
|
@ -1,126 +0,0 @@
|
|||
{
|
||||
"chart": {
|
||||
"result": [
|
||||
{
|
||||
"meta": {
|
||||
"currency": "USD",
|
||||
"symbol": "TSLA",
|
||||
"exchangeName": "NMS",
|
||||
"fullExchangeName": "NasdaqGS",
|
||||
"instrumentType": "EQUITY",
|
||||
"firstTradeDate": 1277818200,
|
||||
"regularMarketTime": 1726257600,
|
||||
"hasPrePostMarketData": true,
|
||||
"gmtoffset": -14400,
|
||||
"timezone": "EDT",
|
||||
"exchangeTimezoneName": "America/New_York",
|
||||
"regularMarketPrice": 230.29,
|
||||
"fiftyTwoWeekHigh": 232.664,
|
||||
"fiftyTwoWeekLow": 226.32,
|
||||
"regularMarketDayHigh": 232.664,
|
||||
"regularMarketDayLow": 226.32,
|
||||
"regularMarketVolume": 59096538,
|
||||
"longName": "Tesla, Inc.",
|
||||
"shortName": "Tesla, Inc.",
|
||||
"chartPreviousClose": 235.223,
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||||
"priceHint": 2,
|
||||
"currentTradingPeriod": {
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||||
"pre": {
|
||||
"timezone": "EDT",
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||||
"start": 1726214400,
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||||
"end": 1726234200,
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||||
"gmtoffset": -14400
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||||
},
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||||
"regular": {
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||||
"timezone": "EDT",
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||||
"start": 1726234200,
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||||
"end": 1726257600,
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||||
"gmtoffset": -14400
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||||
},
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||||
"post": {
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||||
"timezone": "EDT",
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||||
"start": 1726257600,
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||||
"end": 1726272000,
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||||
"gmtoffset": -14400
|
||||
}
|
||||
},
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||||
"dataGranularity": "1d",
|
||||
"range": "",
|
||||
"validRanges": [
|
||||
"1d",
|
||||
"5d",
|
||||
"1mo",
|
||||
"3mo",
|
||||
"6mo",
|
||||
"1y",
|
||||
"2y",
|
||||
"5y",
|
||||
"10y",
|
||||
"ytd",
|
||||
"max"
|
||||
]
|
||||
},
|
||||
"timestamp": [
|
||||
1609770600,
|
||||
1609857000,
|
||||
1609943400,
|
||||
1610029800,
|
||||
1610116200
|
||||
],
|
||||
"indicators": {
|
||||
"quote": [
|
||||
{
|
||||
"open": [
|
||||
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|
||||
241.22000122070312,
|
||||
252.8300018310547,
|
||||
259.2099914550781,
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||||
285.3333435058594
|
||||
],
|
||||
"close": [
|
||||
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|
||||
245.0366668701172,
|
||||
251.9933319091797,
|
||||
272.0133361816406,
|
||||
293.3399963378906
|
||||
],
|
||||
"high": [
|
||||
248.163330078125,
|
||||
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|
||||
258.0,
|
||||
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|
||||
294.8299865722656
|
||||
],
|
||||
"low": [
|
||||
239.06333923339844,
|
||||
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|
||||
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|
||||
258.3999938964844,
|
||||
279.46331787109375
|
||||
],
|
||||
"volume": [
|
||||
145914600,
|
||||
96735600,
|
||||
134100000,
|
||||
154496700,
|
||||
225166500
|
||||
]
|
||||
}
|
||||
],
|
||||
"adjclose": [
|
||||
{
|
||||
"adjclose": [
|
||||
243.2566680908203,
|
||||
245.0366668701172,
|
||||
251.9933319091797,
|
||||
272.0133361816406,
|
||||
293.3399963378906
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
],
|
||||
"error": null
|
||||
}
|
||||
}
|
||||
77
tests/pricehist/sources/test_yahoo/tsla-spark.json
Normal file
77
tests/pricehist/sources/test_yahoo/tsla-spark.json
Normal file
|
|
@ -0,0 +1,77 @@
|
|||
{
|
||||
"spark": {
|
||||
"result": [
|
||||
{
|
||||
"symbol": "TSLA",
|
||||
"response": [
|
||||
{
|
||||
"meta": {
|
||||
"currency": "USD",
|
||||
"symbol": "TSLA",
|
||||
"exchangeName": "NMS",
|
||||
"instrumentType": "EQUITY",
|
||||
"firstTradeDate": 1277818200,
|
||||
"regularMarketTime": 1626465603,
|
||||
"gmtoffset": -14400,
|
||||
"timezone": "EDT",
|
||||
"exchangeTimezoneName": "America/New_York",
|
||||
"regularMarketPrice": 644.22,
|
||||
"chartPreviousClose": 650.6,
|
||||
"priceHint": 2,
|
||||
"currentTradingPeriod": {
|
||||
"pre": {
|
||||
"timezone": "EDT",
|
||||
"start": 1626422400,
|
||||
"end": 1626442200,
|
||||
"gmtoffset": -14400
|
||||
},
|
||||
"regular": {
|
||||
"timezone": "EDT",
|
||||
"start": 1626442200,
|
||||
"end": 1626465600,
|
||||
"gmtoffset": -14400
|
||||
},
|
||||
"post": {
|
||||
"timezone": "EDT",
|
||||
"start": 1626465600,
|
||||
"end": 1626480000,
|
||||
"gmtoffset": -14400
|
||||
}
|
||||
},
|
||||
"dataGranularity": "1d",
|
||||
"range": "1d",
|
||||
"validRanges": [
|
||||
"1d",
|
||||
"5d",
|
||||
"1mo",
|
||||
"3mo",
|
||||
"6mo",
|
||||
"1y",
|
||||
"2y",
|
||||
"5y",
|
||||
"10y",
|
||||
"ytd",
|
||||
"max"
|
||||
]
|
||||
},
|
||||
"timestamp": [
|
||||
1626442200,
|
||||
1626465603
|
||||
],
|
||||
"indicators": {
|
||||
"quote": [
|
||||
{
|
||||
"close": [
|
||||
644.22,
|
||||
644.22
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
],
|
||||
"error": null
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue