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import json
from datetime import datetime
from typing import Optional, Callable, Any
from uuid import UUID
from dataclasses import dataclass, field, asdict
from Backend.core.logging import get_logger
logger = get_logger(__name__)
@dataclass
class AgentStep:
agent_name: str
status: str
started_at: str
completed_at: Optional[str] = None
duration_ms: Optional[float] = None
decision: Optional[str] = None
reasoning: Optional[str] = None
result: Optional[dict] = None
error: Optional[str] = None
@dataclass
class PipelineFlow:
issue_id: UUID
started_at: str
status: str = "running"
completed_at: Optional[str] = None
total_duration_ms: Optional[float] = None
steps: list[AgentStep] = field(default_factory=list)
final_result: Optional[dict] = None
def to_dict(self) -> dict:
return {
"issue_id": str(self.issue_id),
"started_at": self.started_at,
"status": self.status,
"completed_at": self.completed_at,
"total_duration_ms": self.total_duration_ms,
"steps": [asdict(s) for s in self.steps],
"final_result": self.final_result,
}
class FlowTracker:
def __init__(self, issue_id: UUID):
self.flow = PipelineFlow(
issue_id=issue_id,
started_at=datetime.utcnow().isoformat(),
)
self._start_time = datetime.utcnow()
self._subscribers: list[asyncio.Queue] = []
def subscribe(self) -> asyncio.Queue:
queue = asyncio.Queue()
for step in self.flow.steps:
if step.started_at:
queue.put_nowait({
"type": "step_started",
"timestamp": step.started_at,
"data": {
"agent_name": step.agent_name,
"step_index": self.flow.steps.index(step)
}
})
if step.status in ("completed", "error"):
queue.put_nowait({
"type": "step_completed" if step.status == "completed" else "step_error",
"timestamp": step.completed_at,
"data": {
"agent_name": step.agent_name,
"status": step.status,
"decision": step.decision,
"reasoning": step.reasoning,
"result": step.result,
"error": step.error
}
})
self._subscribers.append(queue)
return queue
def unsubscribe(self, queue: asyncio.Queue):
if queue in self._subscribers:
self._subscribers.remove(queue)
async def _broadcast(self, event_type: str, data: dict):
message = {
"type": event_type,
"timestamp": datetime.utcnow().isoformat(),
"data": data,
}
for queue in self._subscribers:
await queue.put(message)
async def start_step(self, agent_name: str):
step = AgentStep(
agent_name=agent_name,
status="running",
started_at=datetime.utcnow().isoformat(),
)
self.flow.steps.append(step)
await self._broadcast("step_started", {
"agent_name": agent_name,
"step_index": len(self.flow.steps) - 1,
})
return step
async def complete_step(
self,
agent_name: str,
decision: str,
reasoning: str,
result: Optional[dict] = None,
error: Optional[str] = None
):
step = next((s for s in self.flow.steps if s.agent_name == agent_name and s.status == "running"), None)
if step:
now = datetime.utcnow()
step.completed_at = now.isoformat()
step.status = "error" if error else "completed"
step.decision = decision
step.reasoning = reasoning
step.result = result
step.error = error
started = datetime.fromisoformat(step.started_at)
step.duration_ms = (now - started).total_seconds() * 1000
await self._broadcast("step_completed", {
"agent_name": agent_name,
"status": step.status if step else "unknown",
"decision": decision,
"reasoning": reasoning,
"duration_ms": step.duration_ms if step else 0,
"result": result,
"error": error,
})
async def complete_flow(self, final_result: dict):
now = datetime.utcnow()
self.flow.completed_at = now.isoformat()
self.flow.status = "completed"
self.flow.total_duration_ms = (now - self._start_time).total_seconds() * 1000
self.flow.final_result = final_result
await self._broadcast("flow_completed", self.flow.to_dict())
async def error_flow(self, error: str):
now = datetime.utcnow()
self.flow.completed_at = now.isoformat()
self.flow.status = "error"
self.flow.total_duration_ms = (now - self._start_time).total_seconds() * 1000
await self._broadcast("flow_error", {
"error": error,
"flow": self.flow.to_dict(),
})
_active_flows: dict[UUID, FlowTracker] = {}
def get_flow_tracker(issue_id: UUID) -> Optional[FlowTracker]:
return _active_flows.get(issue_id)
def create_flow_tracker(issue_id: UUID) -> FlowTracker:
if issue_id in _active_flows:
return _active_flows[issue_id]
tracker = FlowTracker(issue_id)
_active_flows[issue_id] = tracker
return tracker
def remove_flow_tracker(issue_id: UUID):
if issue_id in _active_flows:
del _active_flows[issue_id]
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