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https://github.com/freqtrade/freqtrade.git
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Merge pull request #11093 from arenstar/api-server-list-custom-data
feat: api_server and client supporting list_custom_data
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@@ -24,7 +24,7 @@ from freqtrade.enums import CandleType, RunMode, State, TradingMode
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from freqtrade.exceptions import DependencyException, ExchangeError, OperationalException
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from freqtrade.loggers import setup_logging, setup_logging_pre
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from freqtrade.optimize.backtesting import Backtesting
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from freqtrade.persistence import Trade
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from freqtrade.persistence import CustomDataWrapper, Trade
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from freqtrade.rpc import RPC
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from freqtrade.rpc.api_server import ApiServer
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from freqtrade.rpc.api_server.api_auth import create_token, get_user_from_token
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@@ -802,6 +802,211 @@ def test_api_trade_single(botclient, mocker, fee, ticker, markets, is_short):
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assert rc.json()["is_short"] == is_short
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@pytest.mark.usefixtures("init_persistence")
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def test_api_custom_data_single_trade(botclient, fee):
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Trade.reset_trades()
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CustomDataWrapper.reset_custom_data()
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create_mock_trades_usdt(fee, use_db=True)
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trade1 = Trade.get_trades_proxy()[0]
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assert trade1.get_all_custom_data() == []
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trade1.set_custom_data("test_str", "test_value")
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trade1.set_custom_data("test_int", 0)
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trade1.set_custom_data("test_float", 1.54)
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trade1.set_custom_data("test_bool", True)
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trade1.set_custom_data("test_dict", {"test": "vl"})
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trade1.set_custom_data("test_int", 1)
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_, client = botclient
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# CASE 1 Checking all custom data of trade 1
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rc = client_get(client, f"{BASE_URI}/trades/1/custom-data")
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assert_response(rc)
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# Validate response JSON structure
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response_json = rc.json()
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assert len(response_json) == 1
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res_cust_data = response_json[0]["custom_data"]
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expected_data_td_1 = [
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{"key": "test_str", "type": "str", "value": "test_value"},
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{"key": "test_int", "type": "int", "value": 1},
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{"key": "test_float", "type": "float", "value": 1.54},
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{"key": "test_bool", "type": "bool", "value": True},
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{"key": "test_dict", "type": "dict", "value": {"test": "vl"}},
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]
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# Ensure response contains exactly the expected number of entries
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assert len(res_cust_data) == len(expected_data_td_1), (
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f"Expected {len(expected_data_td_1)} entries, but got {len(res_cust_data)}.\n"
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)
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# Validate each expected entry
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for expected in expected_data_td_1:
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matched_item = None
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for item in res_cust_data:
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if item["key"] == expected["key"]:
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matched_item = item
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break
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assert matched_item is not None, (
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f"Missing expected entry for key '{expected['key']}'\nExpected: {expected}\n"
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)
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# Validate individual fields and print only incorrect values
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mismatches = []
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for field in ["key", "type", "value"]:
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if matched_item[field] != expected[field]:
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mismatches.append(f"{field}: Expected {expected[field]}, Got {matched_item[field]}")
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assert not mismatches, f"Error in entry '{expected['key']}':\n" + "\n".join(mismatches)
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# CASE 2 Checking specific existing key custom data of trade 1
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rc = client_get(client, f"{BASE_URI}/trades/1/custom-data?key=test_dict")
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assert_response(rc, 200)
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# CASE 3 Checking specific not existing key custom data of trade 1
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rc = client_get(client, f"{BASE_URI}/trades/1/custom-data&key=test")
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assert_response(rc, 404)
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# CASE 4 Trying to get custom-data from not existing trade
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rc = client_get(client, f"{BASE_URI}/trades/13/custom-data")
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assert_response(rc, 404)
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assert rc.json()["detail"] == "No trade found for trade_id: 13"
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@pytest.mark.usefixtures("init_persistence")
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def test_api_custom_data_multiple_open_trades(botclient, fee):
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use_db = True
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Trade.use_db = use_db
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Trade.reset_trades()
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CustomDataWrapper.reset_custom_data()
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create_mock_trades(fee, False, use_db)
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trades = Trade.get_trades_proxy()
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assert len(trades) == 6
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assert isinstance(trades[0], Trade)
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trades = Trade.get_trades_proxy(is_open=True)
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assert len(trades) == 4
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create_mock_trades_usdt(fee, use_db=True)
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trade1 = Trade.get_trades_proxy(is_open=True)[0]
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trade2 = Trade.get_trades_proxy(is_open=True)[1]
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# Initially, no custom data should be present.
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assert trade1.get_all_custom_data() == []
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assert trade2.get_all_custom_data() == []
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# Set custom data for the two open trades.
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trade1.set_custom_data("test_str", "test_value_t1")
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trade1.set_custom_data("test_float", 1.54)
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trade1.set_custom_data("test_dict", {"test_t1": "vl_t1"})
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trade2.set_custom_data("test_str", "test_value_t2")
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trade2.set_custom_data("test_float", 1.55)
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trade2.set_custom_data("test_dict", {"test_t2": "vl_t2"})
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_, client = botclient
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# CASE 1: Checking all custom data for both trades.
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rc = client_get(client, f"{BASE_URI}/trades/open/custom-data")
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assert_response(rc)
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response_json = rc.json()
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# Expecting two trade entries in the response
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assert len(response_json) == 2, f"Expected 2 trade entries, but got {len(response_json)}.\n"
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# Define expected custom data for each trade.
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# The keys now use the actual trade_ids from the custom data.
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expected_custom_data = {
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1: [
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{
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"key": "test_str",
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"type": "str",
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"value": "test_value_t1",
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},
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{
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"key": "test_float",
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"type": "float",
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"value": 1.54,
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},
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{
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"key": "test_dict",
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"type": "dict",
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"value": {"test_t1": "vl_t1"},
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},
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],
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4: [
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{
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"key": "test_str",
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"type": "str",
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"value": "test_value_t2",
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},
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{
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"key": "test_float",
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"type": "float",
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"value": 1.55,
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},
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{
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"key": "test_dict",
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"type": "dict",
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"value": {"test_t2": "vl_t2"},
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},
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],
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}
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# Iterate over each trade's data in the response and validate entries.
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for trade_entry in response_json:
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trade_id = trade_entry.get("trade_id")
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assert trade_id in expected_custom_data, f"\nUnexpected trade_id: {trade_id}"
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custom_data_list = trade_entry.get("custom_data")
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expected_data = expected_custom_data[trade_id]
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assert len(custom_data_list) == len(expected_data), (
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f"Error for trade_id {trade_id}: "
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f"Expected {len(expected_data)} entries, but got {len(custom_data_list)}.\n"
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)
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# For each expected entry, check that the response contains the correct entry.
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for expected in expected_data:
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matched_item = None
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for item in custom_data_list:
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if item["key"] == expected["key"]:
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matched_item = item
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break
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assert matched_item is not None, (
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f"For trade_id {trade_id}, "
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f"missing expected entry for key '{expected['key']}'\n"
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f"Expected: {expected}\n"
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)
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# Validate key fields.
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mismatches = []
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for field in ["key", "type", "value"]:
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if matched_item[field] != expected[field]:
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mismatches.append(
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f"{field}: Expected {expected[field]}, Got {matched_item[field]}"
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)
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# Check for field presence of created_at and updated_at without comparing values.
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for field in ["created_at", "updated_at"]:
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if field not in matched_item:
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mismatches.append(f"Missing field: {field}")
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assert not mismatches, (
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f"Error in entry '{expected['key']}' for trade_id {trade_id}:\n"
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+ "\n".join(mismatches)
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)
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@pytest.mark.parametrize("is_short", [True, False])
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def test_api_delete_trade(botclient, mocker, fee, markets, is_short):
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ftbot, client = botclient
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@@ -2903,9 +2903,7 @@ async def test_telegram_list_custom_data(default_conf_usdt, update, ticker, fee,
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context.args = ["1"]
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await telegram._list_custom_data(update=update, context=context)
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assert msg_mock.call_count == 1
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assert (
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"Didn't find any custom-data entries for Trade ID: `1`" in msg_mock.call_args_list[0][0][0]
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)
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assert "No custom-data found for Trade ID: 1." in msg_mock.call_args_list[0][0][0]
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msg_mock.reset_mock()
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# Add some custom data
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@@ -2918,11 +2916,10 @@ async def test_telegram_list_custom_data(default_conf_usdt, update, ticker, fee,
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assert msg_mock.call_count == 3
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assert "Found custom-data entries: " in msg_mock.call_args_list[0][0][0]
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assert (
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"*Key:* `test_int`\n*ID:* `1`\n*Trade ID:* `1`\n*Type:* `int`\n*Value:* `1`\n*Create Date:*"
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"*Key:* `test_int`\n*Type:* `int`\n*Value:* `1`\n*Create Date:*"
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) in msg_mock.call_args_list[1][0][0]
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assert (
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"*Key:* `test_dict`\n*ID:* `2`\n*Trade ID:* `1`\n*Type:* `dict`\n"
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'*Value:* `{"test": "dict"}`\n*Create Date:* `'
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"*Key:* `test_dict`\n*Type:* `dict`\n*Value:* `{'test': 'dict'}`\n*Create Date:* `"
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) in msg_mock.call_args_list[2][0][0]
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msg_mock.reset_mock()
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