Merge pull request #11093 from arenstar/api-server-list-custom-data

feat: api_server and client supporting list_custom_data
This commit is contained in:
Matthias
2025-03-20 07:05:48 +01:00
committed by GitHub
9 changed files with 373 additions and 42 deletions

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@@ -302,6 +302,19 @@ trades
:param limit: Limits trades to the X last trades. Max 500 trades.
:param offset: Offset by this amount of trades.
list_open_trades_custom_data
Return a dict containing open trades custom-datas
:param key: str, optional - Key of the custom-data
:param limit: Limits trades to X trades.
:param offset: Offset by this amount of trades.
list_custom_data
Return a dict containing custom-datas of a specified trade
:param trade_id: int - ID of the trade
:param key: str, optional - Key of the custom-data
version
Return the version of the bot.

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@@ -1353,8 +1353,10 @@ class LocalTrade:
def get_custom_data(self, key: str, default: Any = None) -> Any:
"""
Get custom data for this trade
Get custom data for this trade.
:param key: key of the custom data
:param default: value to return if no data is found
"""
data = CustomDataWrapper.get_custom_data(trade_id=self.id, key=key)
if data:

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@@ -637,3 +637,16 @@ class Health(BaseModel):
bot_start_ts: int | None = None
bot_startup: datetime | None = None
bot_startup_ts: int | None = None
class CustomDataEntry(BaseModel):
key: str
type: str
value: Any
created_at: datetime
updated_at: datetime | None = None
class ListCustomData(BaseModel):
trade_id: int
custom_data: list[CustomDataEntry]

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@@ -29,6 +29,7 @@ from freqtrade.rpc.api_server.api_schemas import (
FreqAIModelListResponse,
Health,
HyperoptLossListResponse,
ListCustomData,
Locks,
LocksPayload,
Logs,
@@ -213,6 +214,36 @@ def trade_reload(tradeid: int, rpc: RPC = Depends(get_rpc)):
return rpc._rpc_trade_status([tradeid])[0]
@router.get("/trades/open/custom-data", response_model=list[ListCustomData], tags=["trading"])
def list_open_trades_custom_data(
key: str | None = Query(None, description="Optional key to filter data"),
limit: int = Query(100, ge=1, description="Maximum number of different trades to return data"),
offset: int = Query(0, ge=0, description="Number of trades to skip for pagination"),
rpc: RPC = Depends(get_rpc),
):
"""
Fetch custom data for all open trades.
If a key is provided, it will be used to filter data accordingly.
Pagination is implemented via the `limit` and `offset` parameters.
"""
try:
return rpc._rpc_list_custom_data(key=key, limit=limit, offset=offset)
except RPCException as e:
raise HTTPException(status_code=404, detail=str(e))
@router.get("/trades/{trade_id}/custom-data", response_model=list[ListCustomData], tags=["trading"])
def list_custom_data(trade_id: int, key: str | None = Query(None), rpc: RPC = Depends(get_rpc)):
"""
Fetch custom data for a specific trade.
If a key is provided, it will be used to filter data accordingly.
"""
try:
return rpc._rpc_list_custom_data(trade_id, key=key)
except RPCException as e:
raise HTTPException(status_code=404, detail=str(e))
# TODO: Missing response model
@router.get("/edge", tags=["info"])
def edge(rpc: RPC = Depends(get_rpc)):

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@@ -33,7 +33,7 @@ from freqtrade.exceptions import ExchangeError, PricingError
from freqtrade.exchange import Exchange, timeframe_to_minutes, timeframe_to_msecs
from freqtrade.exchange.exchange_utils import price_to_precision
from freqtrade.loggers import bufferHandler
from freqtrade.persistence import KeyStoreKeys, KeyValueStore, PairLocks, Trade
from freqtrade.persistence import CustomDataWrapper, KeyStoreKeys, KeyValueStore, PairLocks, Trade
from freqtrade.persistence.models import PairLock
from freqtrade.plugins.pairlist.pairlist_helpers import expand_pairlist
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@@ -1115,31 +1115,70 @@ class RPC:
"cancel_order_count": c_count,
}
def _rpc_list_custom_data(self, trade_id: int, key: str | None) -> list[dict[str, Any]]:
# Query for trade
trade = Trade.get_trades(trade_filter=[Trade.id == trade_id]).first()
if trade is None:
return []
# Query custom_data
custom_data = []
if key:
data = trade.get_custom_data(key=key)
if data:
custom_data = [data]
def _rpc_list_custom_data(
self, trade_id: int | None = None, key: str | None = None, limit: int = 100, offset: int = 0
) -> list[dict[str, Any]]:
"""
Fetch custom data for a specific trade, or all open trades if `trade_id` is not provided.
Pagination is applied via `limit` and `offset`.
Returns an array of dictionaries, each containing:
- "trade_id": the ID of the trade (int)
- "custom_data": a list of custom data dicts, each with the fields:
"id", "key", "type", "value", "created_at", "updated_at"
"""
trades: Sequence[Trade]
if trade_id is None:
# Get all open trades
trades = Trade.session.scalars(
Trade.get_trades_query([Trade.is_open.is_(True)])
.order_by(Trade.id)
.limit(limit)
.offset(offset)
).all()
else:
custom_data = trade.get_all_custom_data()
return [
{
"id": data_entry.id,
"ft_trade_id": data_entry.ft_trade_id,
"cd_key": data_entry.cd_key,
"cd_type": data_entry.cd_type,
"cd_value": data_entry.cd_value,
"created_at": data_entry.created_at,
"updated_at": data_entry.updated_at,
}
for data_entry in custom_data
]
trades = Trade.get_trades(trade_filter=[Trade.id == trade_id]).all()
if not trades:
raise RPCException(
f"No trade found for trade_id: {trade_id}" if trade_id else "No open trades found."
)
results = []
for trade in trades:
# Depending on whether a specific key is provided, retrieve custom data accordingly.
if key:
data = trade.get_custom_data_entry(key=key)
# If data exists, wrap it in a list so the output remains consistent.
custom_data = [data] if data else []
else:
custom_data = trade.get_all_custom_data()
# Format and Append result for the trade if any custom data was found.
if custom_data:
formatted_custom_data = [
{
"key": data_entry.cd_key,
"type": data_entry.cd_type,
"value": CustomDataWrapper._convert_custom_data(data_entry).value,
"created_at": data_entry.created_at,
"updated_at": data_entry.updated_at,
}
for data_entry in custom_data
]
results.append({"trade_id": trade.id, "custom_data": formatted_custom_data})
# Handle case when there is no custom data found across trades.
if not results:
message_details = ""
if key:
message_details += f"with key '{key}' "
message_details += (
f"found for Trade ID: {trade_id}." if trade_id else "found for any open trades."
)
raise RPCException(f"No custom-data {message_details}")
return results
def _rpc_performance(self) -> list[dict[str, Any]]:
"""

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@@ -1981,16 +1981,17 @@ class Telegram(RPCHandler):
results = self._rpc._rpc_list_custom_data(trade_id, key)
messages = []
if len(results) > 0:
messages.append("Found custom-data entr" + ("ies: " if len(results) > 1 else "y: "))
for result in results:
trade_custom_data = results[0]["custom_data"]
messages.append(
"Found custom-data entr" + ("ies: " if len(trade_custom_data) > 1 else "y: ")
)
for custom_data in trade_custom_data:
lines = [
f"*Key:* `{result['cd_key']}`",
f"*ID:* `{result['id']}`",
f"*Trade ID:* `{result['ft_trade_id']}`",
f"*Type:* `{result['cd_type']}`",
f"*Value:* `{result['cd_value']}`",
f"*Create Date:* `{format_date(result['created_at'])}`",
f"*Update Date:* `{format_date(result['updated_at'])}`",
f"*Key:* `{custom_data['key']}`",
f"*Type:* `{custom_data['type']}`",
f"*Value:* `{custom_data['value']}`",
f"*Create Date:* `{format_date(custom_data['created_at'])}`",
f"*Update Date:* `{format_date(custom_data['updated_at'])}`",
]
# Filter empty lines using list-comprehension
messages.append("\n".join([line for line in lines if line]))

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@@ -269,6 +269,36 @@ class FtRestClient:
params["offset"] = offset
return self._get("trades", params)
def list_open_trades_custom_data(self, key=None, limit=100, offset=0):
"""List open trades custom-data of the running bot.
:param key: str, optional - Key of the custom-data
:param limit: limit of trades
:param offset: trades offset for pagination
:return: json object
"""
params = {}
params["limit"] = limit
params["offset"] = offset
if key is not None:
params["key"] = key
return self._get("trades/open/custom-data", params=params)
def list_custom_data(self, trade_id, key=None):
"""List custom-data of the running bot for a specific trade.
:param trade_id: ID of the trade
:param key: str, optional - Key of the custom-data
:return: JSON object
"""
params = {}
params["trade_id"] = trade_id
if key is not None:
params["key"] = key
return self._get(f"trades/{trade_id}/custom-data", params=params)
def trade(self, trade_id):
"""Return specific trade

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

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@@ -2903,9 +2903,7 @@ async def test_telegram_list_custom_data(default_conf_usdt, update, ticker, fee,
context.args = ["1"]
await telegram._list_custom_data(update=update, context=context)
assert msg_mock.call_count == 1
assert (
"Didn't find any custom-data entries for Trade ID: `1`" in msg_mock.call_args_list[0][0][0]
)
assert "No custom-data found for Trade ID: 1." in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
# Add some custom data
@@ -2918,11 +2916,10 @@ async def test_telegram_list_custom_data(default_conf_usdt, update, ticker, fee,
assert msg_mock.call_count == 3
assert "Found custom-data entries: " in msg_mock.call_args_list[0][0][0]
assert (
"*Key:* `test_int`\n*ID:* `1`\n*Trade ID:* `1`\n*Type:* `int`\n*Value:* `1`\n*Create Date:*"
"*Key:* `test_int`\n*Type:* `int`\n*Value:* `1`\n*Create Date:*"
) in msg_mock.call_args_list[1][0][0]
assert (
"*Key:* `test_dict`\n*ID:* `2`\n*Trade ID:* `1`\n*Type:* `dict`\n"
'*Value:* `{"test": "dict"}`\n*Create Date:* `'
"*Key:* `test_dict`\n*Type:* `dict`\n*Value:* `{'test': 'dict'}`\n*Create Date:* `"
) in msg_mock.call_args_list[2][0][0]
msg_mock.reset_mock()