refactor archiveRunner js files + priprava genanal
This commit is contained in:
@ -11,7 +11,7 @@ import uvicorn
|
||||
from uuid import UUID
|
||||
import v2realbot.controller.services as cs
|
||||
from v2realbot.utils.ilog import get_log_window
|
||||
from v2realbot.common.model import StrategyInstance, RunnerView, RunRequest, Trade, RunArchive, RunArchiveView, RunArchiveViewPagination, RunArchiveDetail, Bar, RunArchiveChange, TestList, ConfigItem, InstantIndicator, DataTablesRequest
|
||||
from v2realbot.common.model import StrategyInstance, RunnerView, RunRequest, Trade, RunArchive, RunArchiveView, RunArchiveViewPagination, RunArchiveDetail, Bar, RunArchiveChange, TestList, ConfigItem, InstantIndicator, DataTablesRequest, AnalyzerInputs
|
||||
from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Depends, HTTPException, status, WebSocketException, Cookie, Query
|
||||
from fastapi.responses import FileResponse, StreamingResponse
|
||||
from fastapi.staticfiles import StaticFiles
|
||||
@ -590,10 +590,14 @@ def _generate_report_image(runner_ids: list[UUID]):
|
||||
|
||||
#TODO toto bude zaklad pro obecnou funkci, ktera bude volat ruzne analyzy
|
||||
#vstupem bude obecny objekt, ktery ponese nazev analyzy + atributy
|
||||
@app.post("/batches/optimizecutoff/{batch_id}", dependencies=[Depends(api_key_auth)], responses={200: {"content": {"image/png": {}}}})
|
||||
def _generate_analysis(batch_id: str):
|
||||
@app.post("/batches/optimizecutoff", dependencies=[Depends(api_key_auth)], responses={200: {"content": {"image/png": {}}}})
|
||||
def _generate_analysis(analyzerInputs: AnalyzerInputs):
|
||||
try:
|
||||
res, stream = find_optimal_cutoff(batch_id=batch_id, steps=50, stream=True)
|
||||
if len(analyzerInputs.runner_ids) == 0 and analyzerInputs.batch_id is None:
|
||||
raise HTTPException(status_code=status.HTTP_406_NOT_ACCEPTABLE, detail=f"Error: batch_id or runner_ids required")
|
||||
|
||||
#bude predelano na obecny analyzator s obecnym rozhrannim
|
||||
res, stream = find_optimal_cutoff(runner_ids=analyzerInputs.runner_ids, batch_id=analyzerInputs.batch_id, stream=True, **analyzerInputs.params)
|
||||
if res == 0: return StreamingResponse(stream, media_type="image/png",headers={"Content-Disposition": "attachment; filename=optimizedcutoff.png"})
|
||||
elif res < 0:
|
||||
raise HTTPException(status_code=status.HTTP_406_NOT_ACCEPTABLE, detail=f"Error: {res}:{id}")
|
||||
|
||||
Reference in New Issue
Block a user