feat(api): Implement agent streaming router with SSE
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@@ -1,6 +1,6 @@
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from ea_chatbot.api.routers import auth, history, artifacts
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from ea_chatbot.api.routers import auth, history, artifacts, agent
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app = FastAPI(
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title="Election Analytics Chatbot API",
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@@ -20,6 +20,7 @@ app.add_middleware(
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app.include_router(auth.router)
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app.include_router(history.router)
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app.include_router(artifacts.router)
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app.include_router(agent.router)
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@app.get("/health")
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async def health_check():
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98
src/ea_chatbot/api/routers/agent.py
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98
src/ea_chatbot/api/routers/agent.py
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@@ -0,0 +1,98 @@
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import json
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import asyncio
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from typing import AsyncGenerator, Optional
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from fastapi import APIRouter, Depends, HTTPException, status
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from fastapi.responses import StreamingResponse
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from pydantic import BaseModel
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from ea_chatbot.api.dependencies import get_current_user, history_manager
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from ea_chatbot.graph.workflow import app
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from ea_chatbot.graph.checkpoint import get_checkpointer
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from ea_chatbot.history.models import User as UserDB, Conversation
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import io
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import base64
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router = APIRouter(prefix="/chat", tags=["agent"])
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class ChatRequest(BaseModel):
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message: str
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thread_id: str # This maps to the conversation_id in our DB
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summary: Optional[str] = ""
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async def stream_agent_events(
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message: str,
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thread_id: str,
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user_id: str,
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summary: str
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) -> AsyncGenerator[str, None]:
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"""
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Generator that invokes the LangGraph agent and yields SSE formatted events.
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"""
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initial_state = {
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"messages": [],
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"question": message,
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"summary": summary,
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"analysis": None,
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"next_action": "",
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"plan": None,
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"code": None,
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"code_output": None,
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"error": None,
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"plots": [],
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"dfs": {}
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}
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config = {"configurable": {"thread_id": thread_id}}
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async with get_checkpointer() as checkpointer:
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async for event in app.astream_events(
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initial_state,
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config,
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version="v2",
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checkpointer=checkpointer
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):
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kind = event.get("event")
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name = event.get("name")
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output_event = {
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"type": kind,
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"name": name,
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"data": event.get("data", {})
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}
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if kind == "on_chain_end" and name == "executor":
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output = event.get("data", {}).get("output", {})
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if isinstance(output, dict) and "plots" in output:
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plots = output["plots"]
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encoded_plots = []
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for fig in plots:
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buf = io.BytesIO()
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fig.savefig(buf, format="png")
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encoded_plots.append(base64.b64encode(buf.getvalue()).decode('utf-8'))
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output_event["data"]["encoded_plots"] = encoded_plots
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yield f"data: {json.dumps(output_event)}\n\n"
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yield "data: {\"type\": \"done\"}\n\n"
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@router.post("/stream")
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async def chat_stream(
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request: ChatRequest,
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current_user: UserDB = Depends(get_current_user)
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):
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"""
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Stream agent execution events via SSE.
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"""
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with history_manager.get_session() as session:
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conv = session.get(Conversation, request.thread_id)
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if conv and conv.user_id != current_user.id:
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raise HTTPException(status_code=403, detail="Not authorized to access this conversation")
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return StreamingResponse(
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stream_agent_events(
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request.message,
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request.thread_id,
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current_user.id,
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request.summary or ""
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),
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media_type="text/event-stream"
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)
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@@ -48,7 +48,7 @@ async def test_stream_agent_success(auth_header):
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json={"message": "hello", "thread_id": "t1"},
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headers=auth_header) as response:
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assert response.status_code == 200
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assert response.headers["content-type"] == "text/event-stream"
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assert "text/event-stream" in response.headers["content-type"]
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lines = list(response.iter_lines())
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# Each event should start with 'data: ' and be valid JSON
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