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Commit d7654e60 authored by Jakub Ziebinski's avatar Jakub Ziebinski Committed by Krzysztof Mochocki
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Add test for matket_history_api response schemas

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tests/test_market_history_api/__init__.py 0 → 100644
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tests/test_market_history_api/response_schemas.py 0 → 100644
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from __future__ import annotations
from typing import Any, Final
GET_MARKET_HISTORY: Final[dict[str, Any]] = {
"jsonrpc": "2.0",
"result": {
"buckets": [
{
"id": 793307,
"open": "2018-01-01T00:00:00",
"seconds": 86400,
"hive": {"high": 1, "low": 5, "open": 25650, "close": 1691, "volume": 111698586},
"non_hive": {"high": 1, "low": 1, "open": 10192, "close": 801, "volume": 46183343},
}
]
},
"id": 1,
}
GET_MARKET_HISTORY_BUCKETS: Final[dict[str, Any]] = {
"jsonrpc": "2.0",
"result": {"bucket_sizes": [15, 60, 300, 3600, 86400]},
"id": 1,
}
GET_RECENT_TRADES: Final[dict[str, Any]] = {
"jsonrpc": "2.0",
"result": {
"trades": [
{
"date": "2023-06-09T10:20:27",
"current_pays": {"amount": "529184", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "174303", "precision": 3, "nai": "@@000000013"},
},
{
"date": "2023-06-09T10:20:27",
"current_pays": {"amount": "3385", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "1115", "precision": 3, "nai": "@@000000013"},
},
{
"date": "2023-06-09T10:19:24",
"current_pays": {"amount": "52", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "156", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2023-06-09T10:16:51",
"current_pays": {"amount": "3000", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "9051", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2023-06-09T10:16:30",
"current_pays": {"amount": "210200", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "69240", "precision": 3, "nai": "@@000000013"},
},
{
"date": "2023-06-09T10:12:54",
"current_pays": {"amount": "208875", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "68803", "precision": 3, "nai": "@@000000013"},
},
{
"date": "2023-06-09T10:12:30",
"current_pays": {"amount": "1231", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "3713", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2023-06-09T10:11:00",
"current_pays": {"amount": "3032", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "999", "precision": 3, "nai": "@@000000013"},
},
{
"date": "2023-06-09T10:08:24",
"current_pays": {"amount": "181432", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "59763", "precision": 3, "nai": "@@000000013"},
},
{
"date": "2023-06-09T10:08:12",
"current_pays": {"amount": "201591", "precision": 3, "nai": "@@000000021"},
"open_pays": {"amount": "66404", "precision": 3, "nai": "@@000000013"},
},
]
},
"id": 1,
}
GET_TICKER: Final[dict[str, Any]] = {
"jsonrpc": "2.0",
"result": {
"latest": "0.32944732297063906",
"lowest_ask": "0.33101506871998676",
"highest_bid": "0.32939787485242028",
"percent_change": "-2.41770293609671461",
"hive_volume": {"amount": "126410336", "precision": 3, "nai": "@@000000021"},
"hbd_volume": {"amount": "42151645", "precision": 3, "nai": "@@000000013"},
},
"id": 1,
}
GET_TRADE_HISTORY: Final[dict[str, Any]] = {
"jsonrpc": "2.0",
"result": {
"trades": [
{
"date": "2018-01-01T00:00:09",
"current_pays": {"amount": "10192", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "25650", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:00:09",
"current_pays": {"amount": "2000", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "5033", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:00:12",
"current_pays": {"amount": "13560", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "34128", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:00:12",
"current_pays": {"amount": "3057", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "7690", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:00:12",
"current_pays": {"amount": "6908", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "17375", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:02:06",
"current_pays": {"amount": "796", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "2000", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:05:03",
"current_pays": {"amount": "296", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "742", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:05:09",
"current_pays": {"amount": "16", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "40", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:07:48",
"current_pays": {"amount": "582", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "1462", "precision": 3, "nai": "@@000000021"},
},
{
"date": "2018-01-01T00:07:48",
"current_pays": {"amount": "1992", "precision": 3, "nai": "@@000000013"},
"open_pays": {"amount": "5000", "precision": 3, "nai": "@@000000021"},
},
]
},
"id": 1,
}
GET_VOLUME: Final[dict[str, Any]] = {
"jsonrpc": "2.0",
"result": {
"hive_volume": {"amount": "119698620", "precision": 3, "nai": "@@000000021"},
"hbd_volume": {"amount": "39885679", "precision": 3, "nai": "@@000000013"},
},
"id": 1,
}
tests/test_market_history_api/test_market_history_api_response_schemas.py 0 → 100644
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View file @ d7654e60
from __future__ import annotations
from typing import Any
import pytest
from schemas.__private.hive_factory import HiveResult
from schemas.market_history_api.response_schemas import (
GetMarketHistory,
GetMarketHistoryBuckets,
GetRecentTrades,
GetTicker,
GetTradeHistory,
GetVolume,
)
from tests.test_market_history_api.response_schemas import (
GET_MARKET_HISTORY,
GET_MARKET_HISTORY_BUCKETS,
GET_RECENT_TRADES,
GET_TICKER,
GET_TRADE_HISTORY,
GET_VOLUME,
)
@pytest.mark.parametrize(
"schema, parameters",
[
(GetMarketHistory, GET_MARKET_HISTORY),
(GetVolume, GET_VOLUME),
(GetTicker, GET_TICKER),
(GetMarketHistoryBuckets, GET_MARKET_HISTORY_BUCKETS),
(GetTradeHistory, GET_TRADE_HISTORY),
(GetRecentTrades, GET_RECENT_TRADES),
],
)
def test_market_history_api_responses_correct_values(schema: Any, parameters: dict[str, Any]) -> None:
# ACT & ASSERT
HiveResult.factory(schema, **parameters)
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