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
This commit is contained in:
2026-04-02 00:55:08 +08:00
parent 0fa413380c
commit 16b54d5ccc
73 changed files with 9454 additions and 904 deletions

View File

@@ -5,6 +5,7 @@ from types import SimpleNamespace
import pytest
from backend.core.state_sync import StateSync
from backend.services import gateway_cycle_support, gateway_runtime_support
@@ -43,6 +44,12 @@ class _DummyStorage:
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
@@ -54,6 +61,9 @@ class _DummyStorage:
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}
@@ -199,3 +209,70 @@ async def test_refresh_market_store_for_watchlist_emits_system_messages(monkeypa
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