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Multi_Swarm_Coevolutive/tests/unit/test_protocol_compiler.py
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from __future__ import annotations
import json
import numpy as np
import pandas as pd
import pytest
from multi_swarm.backtest.orders import Side
from multi_swarm.protocol.compiler import compile_strategy
from multi_swarm.protocol.parser import parse_strategy
@pytest.fixture
def ohlcv() -> pd.DataFrame:
idx = pd.date_range("2024-01-01", periods=200, freq="1h", tz="UTC")
close = np.linspace(100, 120, 200)
return pd.DataFrame(
{
"open": close,
"high": close + 0.5,
"low": close - 0.5,
"close": close,
"volume": 1.0,
},
index=idx,
)
def test_compile_simple_long(ohlcv: pd.DataFrame) -> None:
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "lt",
"args": [
{"kind": "indicator", "name": "rsi", "params": [14]},
{"kind": "literal", "value": 100.0},
],
},
"action": "entry-long",
}
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signals = fn(ohlcv)
assert isinstance(signals, pd.Series)
assert (signals == Side.LONG).all() or (signals.dropna() == Side.LONG).all()
def test_compile_no_match_is_flat(ohlcv: pd.DataFrame) -> None:
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "gt",
"args": [
{"kind": "indicator", "name": "rsi", "params": [14]},
{"kind": "literal", "value": 1000.0},
],
},
"action": "entry-long",
}
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signals = fn(ohlcv)
assert (signals == Side.FLAT).any()
def test_compile_two_rules_priority(ohlcv: pd.DataFrame) -> None:
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "gt",
"args": [
{"kind": "feature", "name": "close"},
{"kind": "literal", "value": 110.0},
],
},
"action": "entry-long",
},
{
"condition": {
"op": "lt",
"args": [
{"kind": "feature", "name": "close"},
{"kind": "literal", "value": 105.0},
],
},
"action": "entry-short",
},
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signals = fn(ohlcv)
last = signals.iloc[-1]
assert last == Side.LONG # close finale e' 120, regola 1 matcha
def test_compile_hour_feature_returns_index_hour(ohlcv: pd.DataFrame) -> None:
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "gt",
"args": [
{"kind": "feature", "name": "hour"},
{"kind": "literal", "value": -1.0},
],
},
"action": "entry-long",
}
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signal = fn(ohlcv)
# All rows have hour >= 0 > -1, so all entry-long.
assert (signal == Side.LONG).all()
def test_compile_dow_feature_monday_is_zero(ohlcv: pd.DataFrame) -> None:
# 2024-01-01 is Monday -> dow=0; eq(dow, 0) gates LONG on Monday rows only.
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "eq",
"args": [
{"kind": "feature", "name": "dow"},
{"kind": "literal", "value": 0.0},
],
},
"action": "entry-long",
}
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signal = fn(ohlcv)
monday_rows = signal[signal.index.dayofweek == 0]
other_rows = signal[signal.index.dayofweek != 0]
assert (monday_rows == Side.LONG).all()
assert (other_rows == Side.FLAT).all()
def test_compile_is_weekend_returns_zero_one(ohlcv: pd.DataFrame) -> None:
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "eq",
"args": [
{"kind": "feature", "name": "is_weekend"},
{"kind": "literal", "value": 1.0},
],
},
"action": "entry-long",
}
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signal = fn(ohlcv)
weekend = signal[signal.index.dayofweek >= 5]
weekdays = signal[signal.index.dayofweek < 5]
assert (weekend == Side.LONG).all()
assert (weekdays == Side.FLAT).all()
def test_compile_minute_of_hour_zero_on_1h_timeframe(ohlcv: pd.DataFrame) -> None:
# Fixture has freq=1h, so minute_of_hour is 0 on every row.
# eq(minute_of_hour, 0.0) -> LONG on every row.
src = json.dumps(
{
"rules": [
{
"condition": {
"op": "eq",
"args": [
{"kind": "feature", "name": "minute_of_hour"},
{"kind": "literal", "value": 0.0},
],
},
"action": "entry-long",
}
]
}
)
ast = parse_strategy(src)
fn = compile_strategy(ast)
signal = fn(ohlcv)
assert (signal == Side.LONG).all()