Files
evotraders/backend/tests/test_gateway_support_modules.py
cillin 16b54d5ccc feat(agent): complete EvoAgent integration for all 6 agent roles
Migrate all agent roles from Legacy to EvoAgent architecture:
- fundamentals_analyst, technical_analyst, sentiment_analyst, valuation_analyst
- risk_manager, portfolio_manager

Key changes:
- EvoAgent now supports Portfolio Manager compatibility methods (_make_decision,
  get_decisions, get_portfolio_state, load_portfolio_state, update_portfolio)
- Add UnifiedAgentFactory for centralized agent creation
- ToolGuard with batch approval API and WebSocket broadcast
- Legacy agents marked deprecated (AnalystAgent, RiskAgent, PMAgent)
- Remove backend/agents/compat.py migration shim
- Add run_id alongside workspace_id for semantic clarity
- Complete integration test coverage (13 tests)
- All smoke tests passing for 6 agent roles

Constraint: Must maintain backward compatibility with existing run configs
Constraint: Memory support must work with EvoAgent (no fallback to Legacy)
Rejected: Separate PM implementation for EvoAgent | unified approach cleaner
Confidence: high
Scope-risk: broad
Directive: EVO_AGENT_IDS env var still respected but defaults to all roles
Not-tested: Kubernetes sandbox mode for skill execution
2026-04-02 00:55:08 +08:00

279 lines
8.3 KiB
Python

# -*- coding: utf-8 -*-
"""Direct tests for Gateway support modules."""
from types import SimpleNamespace
import pytest
from backend.core.state_sync import StateSync
from backend.services import gateway_cycle_support, gateway_runtime_support
class _DummyScheduler:
def __init__(self):
self.calls = []
def reconfigure(self, **kwargs):
self.calls.append(kwargs)
class _DummyStateSync:
def __init__(self):
self.updated = []
self.saved = False
self.system_messages = []
self.backtest_dates = []
self.state = {}
def update_state(self, key, value):
self.updated.append((key, value))
self.state[key] = value
def save_state(self):
self.saved = True
async def on_system_message(self, message):
self.system_messages.append(message)
def set_backtest_dates(self, dates):
self.backtest_dates = list(dates)
class _DummyStorage:
def __init__(self):
self.initial_cash = 100000.0
self.is_live_session_active = False
self.server_state_updates = []
self.max_feed_history = 200
self.runtime_db = SimpleNamespace(
get_recent_feed_events=lambda limit=200: [],
get_last_day_feed_events=lambda current_date=None, limit=200: [],
)
self._persisted_server_state = {}
def can_apply_initial_cash(self):
return True
def apply_initial_cash(self, value):
self.initial_cash = value
return True
def update_server_state_from_dashboard(self, state):
self.server_state_updates.append(state)
def read_persisted_server_state(self):
return dict(self._persisted_server_state)
def load_file(self, name):
if name == "summary":
return {"totalAssetValue": self.initial_cash}
return []
def build_dashboard_snapshot_from_state(self, state):
return {
"summary": {"totalAssetValue": self.initial_cash},
"holdings": [],
"stats": {},
"trades": [],
"leaderboard": [],
}
class _DummyPM:
def __init__(self):
self.portfolio = {"margin_requirement": 0.0}
def apply_runtime_portfolio_config(self, margin_requirement=None, initial_cash=None):
if margin_requirement is not None:
self.portfolio["margin_requirement"] = margin_requirement
return {"margin_requirement": True}
def can_apply_initial_cash(self):
return True
class _DummyMarketService:
def __init__(self):
self.updated = None
self.stopped = False
def update_tickers(self, tickers):
self.updated = list(tickers)
return {"active": list(tickers), "added": list(tickers), "removed": []}
def stop(self):
self.stopped = True
def make_gateway_stub():
pipeline = SimpleNamespace(max_comm_cycles=0, pm=_DummyPM())
gateway = SimpleNamespace(
market_service=_DummyMarketService(),
pipeline=pipeline,
scheduler=_DummyScheduler(),
config={
"tickers": ["AAPL"],
"schedule_mode": "daily",
"interval_minutes": 60,
"trigger_time": "09:30",
"enable_memory": False,
},
storage=_DummyStorage(),
state_sync=_DummyStateSync(),
_watchlist_ingest_task=None,
_market_status_task=None,
_backtest_task=None,
_backtest_start_date=None,
_backtest_end_date=None,
_manual_cycle_task=None,
)
return gateway
def test_normalize_watchlist_filters_invalid_and_dedupes():
assert gateway_runtime_support.normalize_watchlist(["aapl", " AAPL ", "", "msft"]) == ["AAPL", "MSFT"]
assert gateway_runtime_support.normalize_watchlist("aapl,msft") == ["AAPL", "MSFT"]
def test_normalize_agent_workspace_filename_obeys_allowlist():
allowlist = {"SOUL.md", "PROFILE.md"}
assert gateway_runtime_support.normalize_agent_workspace_filename("SOUL.md", allowlist=allowlist) == "SOUL.md"
assert gateway_runtime_support.normalize_agent_workspace_filename("README.md", allowlist=allowlist) is None
def test_apply_runtime_config_updates_gateway_state():
gateway = make_gateway_stub()
result = gateway_runtime_support.apply_runtime_config(
gateway,
{
"tickers": ["MSFT", "NVDA"],
"schedule_mode": "intraday",
"interval_minutes": 30,
"trigger_time": "10:30",
"initial_cash": 150000.0,
"margin_requirement": 0.5,
"max_comm_cycles": 4,
"enable_memory": False,
},
)
assert gateway.config["tickers"] == ["MSFT", "NVDA"]
assert gateway.config["schedule_mode"] == "intraday"
assert gateway.storage.initial_cash == 150000.0
assert result["runtime_config_applied"]["max_comm_cycles"] == 4
assert gateway.scheduler.calls[-1] == {
"mode": "intraday",
"trigger_time": "10:30",
"interval_minutes": 30,
}
def test_schedule_watchlist_market_store_refresh_creates_task(monkeypatch):
gateway = make_gateway_stub()
captured = {}
class DummyTask:
def done(self):
return False
def cancel(self):
captured["cancelled"] = True
def fake_create_task(coro):
captured["name"] = coro.cr_code.co_name
coro.close()
return DummyTask()
monkeypatch.setattr(gateway_cycle_support.asyncio, "create_task", fake_create_task)
gateway_cycle_support.schedule_watchlist_market_store_refresh(gateway, ["AAPL", "MSFT"])
assert captured["name"] == "refresh_market_store_for_watchlist"
@pytest.mark.asyncio
async def test_refresh_market_store_for_watchlist_emits_system_messages(monkeypatch):
gateway = make_gateway_stub()
monkeypatch.setattr(
gateway_cycle_support,
"ingest_symbols",
lambda symbols, mode="incremental": [
{"symbol": symbol, "prices": 3, "news": 4}
for symbol in symbols
],
)
await gateway_cycle_support.refresh_market_store_for_watchlist(gateway, ["AAPL", "MSFT"])
assert gateway.state_sync.system_messages[0] == "正在同步自选股市场数据: AAPL, MSFT"
assert "自选股市场数据已同步:" in gateway.state_sync.system_messages[1]
def test_initial_state_payload_prefers_dashboard_snapshot_for_top_level_views():
storage = _DummyStorage()
sync = StateSync(storage=storage)
sync._state = {
"holdings": [],
"trades": [],
"stats": {},
"leaderboard": [],
"portfolio": {"total_value": 100000.0},
}
payload = sync.get_initial_state_payload(include_dashboard=True)
assert payload["holdings"] == []
assert payload["trades"] == []
assert payload["stats"] == {}
assert payload["leaderboard"] == []
assert payload["dashboard"]["summary"]["totalAssetValue"] == 100000.0
def test_initial_state_payload_uses_dashboard_snapshot_for_sparse_runtime_state():
class SnapshotStorage(_DummyStorage):
def build_dashboard_snapshot_from_state(self, state):
return {
"summary": {"totalAssetValue": 123456.0},
"holdings": [{"ticker": "AAPL"}],
"stats": {"totalTrades": 3},
"trades": [{"ticker": "AAPL"}],
"leaderboard": [{"agentId": "technical_analyst"}],
}
sync = StateSync(storage=SnapshotStorage())
sync._state = {
"holdings": [],
"trades": [],
"stats": {},
"leaderboard": [],
}
payload = sync.get_initial_state_payload(include_dashboard=True)
assert payload["holdings"][0]["ticker"] == "AAPL"
assert payload["trades"][0]["ticker"] == "AAPL"
assert payload["stats"]["totalTrades"] == 3
assert payload["leaderboard"][0]["agentId"] == "technical_analyst"
def test_initial_state_payload_falls_back_to_persisted_portfolio():
storage = _DummyStorage()
storage._persisted_server_state = {
"portfolio": {
"total_value": 123456.0,
"pnl_percent": 12.34,
"equity": [{"t": 1, "v": 123456.0}],
}
}
sync = StateSync(storage=storage)
sync._state = {
"portfolio": {},
}
payload = sync.get_initial_state_payload(include_dashboard=True)
assert payload["portfolio"]["total_value"] == 123456.0
assert payload["portfolio"]["pnl_percent"] == 12.34