Files
planet/backend/app/api/v1/ai.py

282 lines
9.0 KiB
Python

from uuid import uuid4
from fastapi import APIRouter, Depends, HTTPException, Request, Response
from sqlalchemy.ext.asyncio import AsyncSession
from app.core.security import get_current_user
from app.db.session import get_db
from app.models.user import User
from app.schemas.ai import (
AIProviderStatusResponse,
AlertBriefRequest,
AlertBriefResponse,
BGPBriefRequest,
BGPBriefRecordResponse,
BGPBriefRecordSummary,
PlaygroundMessageActionResponse,
PlaygroundMessageCreateRequest,
PlaygroundMessageEditRequest,
PlaygroundMessageResendRequest,
PlaygroundMessageStopRequest,
PlaygroundSessionResponse,
PlaygroundSessionUpsertRequest,
PlaygroundThreadResponse,
SituationalAlertBriefRequest,
SituationalAlertBriefResponse,
SituationalAnalysisRequest,
SituationalAnalysisResponse,
)
from app.services.alert_ai_brief import build_alert_brief_request
from app.services.ai_client import AIProviderClient, get_ai_provider_client
from app.services.bgp_ai_brief import build_bgp_brief_request
from app.services.bgp_ai_brief_store import (
get_bgp_brief_record,
get_latest_bgp_brief_record,
list_bgp_brief_records,
save_bgp_brief_record,
)
from app.services.playground_session_store import (
get_playground_session,
upsert_playground_session,
)
from app.services.playground_chat_service import (
create_turn,
edit_user_message,
get_thread,
resend_turn,
stop_message,
)
from app.services.situational_alert_ai_brief import build_situational_alert_brief_request
router = APIRouter()
@router.get("/provider/status", response_model=AIProviderStatusResponse)
async def get_ai_provider_status(
request: Request,
response: Response,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
):
request_id = request.headers.get("X-Request-ID") or str(uuid4())
response.headers["X-Request-ID"] = request_id
return await provider_client.get_status(request_id=request_id)
@router.post("/situational-awareness/analyze", response_model=SituationalAnalysisResponse)
async def analyze_situational_awareness(
payload: SituationalAnalysisRequest,
request: Request,
response: Response,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
):
request_id = request.headers.get("X-Request-ID") or str(uuid4())
response.headers["X-Request-ID"] = request_id
return await provider_client.analyze(payload, request_id=request_id)
@router.get("/playground/thread", response_model=PlaygroundThreadResponse | None)
async def get_playground_thread(
session_key: str = "default",
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await get_thread(
db,
user_id=current_user.id,
session_key=session_key,
)
@router.get("/playground/session", response_model=PlaygroundSessionResponse | None)
async def get_saved_playground_session(
session_key: str = "default",
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await get_playground_session(
db,
user_id=current_user.id,
session_key=session_key,
)
@router.put("/playground/session", response_model=PlaygroundSessionResponse)
async def save_playground_session(
payload: PlaygroundSessionUpsertRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await upsert_playground_session(
db,
user_id=current_user.id,
payload=payload,
)
@router.post("/playground/messages", response_model=PlaygroundMessageActionResponse)
async def create_playground_message(
payload: PlaygroundMessageCreateRequest,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
return await create_turn(
db,
user_id=current_user.id,
payload=payload,
provider_client=provider_client,
)
@router.post("/playground/messages/stop", response_model=PlaygroundMessageActionResponse)
async def stop_playground_message(
payload: PlaygroundMessageStopRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await stop_message(
db,
user_id=current_user.id,
payload=payload,
)
@router.post("/playground/messages/resend", response_model=PlaygroundMessageActionResponse)
async def resend_playground_message(
payload: PlaygroundMessageResendRequest,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
return await resend_turn(
db,
user_id=current_user.id,
payload=payload,
provider_client=provider_client,
)
@router.post("/playground/messages/edit", response_model=PlaygroundMessageActionResponse)
async def edit_playground_message(
payload: PlaygroundMessageEditRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
return await edit_user_message(
db,
user_id=current_user.id,
payload=payload,
)
@router.get("/bgp/briefs", response_model=list[BGPBriefRecordSummary])
async def list_saved_bgp_briefs(
current_user: User = Depends(get_current_user),
):
return list_bgp_brief_records()
@router.get("/bgp/briefs/latest", response_model=BGPBriefRecordResponse | None)
async def get_latest_saved_bgp_brief(
current_user: User = Depends(get_current_user),
):
return get_latest_bgp_brief_record()
@router.get("/bgp/briefs/{brief_id}", response_model=BGPBriefRecordResponse)
async def get_saved_bgp_brief(
brief_id: str,
current_user: User = Depends(get_current_user),
):
record = get_bgp_brief_record(brief_id)
if record is None:
raise HTTPException(status_code=404, detail="BGP brief not found")
return record
@router.post("/bgp/brief", response_model=BGPBriefRecordResponse)
async def analyze_bgp_brief(
payload: BGPBriefRequest,
request: Request,
response: Response,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
request_id = request.headers.get("X-Request-ID") or str(uuid4())
response.headers["X-Request-ID"] = request_id
brief_request, facts, context = await build_bgp_brief_request(
db,
incident_limit=payload.incident_limit,
anomaly_limit=payload.anomaly_limit,
collector_limit=payload.collector_limit,
)
brief_request.preferred_model = payload.preferred_model
brief_request.thinking = payload.thinking
analysis = await provider_client.analyze(brief_request, request_id=request_id)
return save_bgp_brief_record(
analysis,
request_id=request_id,
facts=facts,
context=context,
)
@router.post("/alerts/brief", response_model=AlertBriefResponse)
async def analyze_alert_brief(
payload: AlertBriefRequest,
request: Request,
response: Response,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
request_id = request.headers.get("X-Request-ID") or str(uuid4())
response.headers["X-Request-ID"] = request_id
brief_request, facts, context = await build_alert_brief_request(
db,
alert_limit=payload.alert_limit,
)
brief_request.preferred_model = payload.preferred_model
brief_request.thinking = payload.thinking
analysis = await provider_client.analyze(brief_request, request_id=request_id)
return AlertBriefResponse(
**analysis.model_dump(),
title=brief_request.title,
objective=brief_request.objective,
facts=facts,
context=context,
)
@router.post("/situational-alerts/brief", response_model=SituationalAlertBriefResponse)
async def analyze_situational_alert_brief(
payload: SituationalAlertBriefRequest,
request: Request,
response: Response,
current_user: User = Depends(get_current_user),
provider_client: AIProviderClient = Depends(get_ai_provider_client),
db: AsyncSession = Depends(get_db),
):
request_id = request.headers.get("X-Request-ID") or str(uuid4())
response.headers["X-Request-ID"] = request_id
brief_request, facts, context = await build_situational_alert_brief_request(db)
brief_request.preferred_model = payload.preferred_model
brief_request.thinking = payload.thinking
analysis = await provider_client.analyze(brief_request, request_id=request_id)
return SituationalAlertBriefResponse(
**analysis.model_dump(),
title=brief_request.title,
objective=brief_request.objective,
facts=facts,
context=context,
)