gahusb
ace0339d33
- git mv stock-lab/ → stock/ - docker-compose.yml: 서비스 키 + container_name + build.context + frontend.depends_on + agent-office STOCK_LAB_URL → STOCK_URL - agent-office/app: config.py, service_proxy.py, agents/stock.py, tests/ STOCK_LAB_URL → STOCK_URL - nginx/default.conf: proxy_pass http://stock-lab → http://stock (3 lines) - CLAUDE.md / README.md / STATUS.md / scripts/ 문구 갱신 - stock/ 내부 자기 참조 갱신 lab 네이밍 정책 (feedback_lab_naming.md) graduation. API URL / Python import / DB 파일명 변경 없음.
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
"""Node base classes + helpers."""
|
|
|
|
from __future__ import annotations
|
|
|
|
from abc import ABC, abstractmethod
|
|
from typing import Any, ClassVar
|
|
|
|
import pandas as pd
|
|
|
|
|
|
class ScoreNode(ABC):
|
|
name: ClassVar[str]
|
|
label: ClassVar[str]
|
|
default_params: ClassVar[dict]
|
|
param_schema: ClassVar[dict]
|
|
|
|
@abstractmethod
|
|
def compute(self, ctx: "Any", params: dict) -> pd.Series:
|
|
"""returns Series indexed by ticker, 0..100 float."""
|
|
|
|
|
|
class GateNode(ABC):
|
|
name: ClassVar[str]
|
|
label: ClassVar[str]
|
|
default_params: ClassVar[dict]
|
|
param_schema: ClassVar[dict]
|
|
|
|
@abstractmethod
|
|
def filter(self, ctx: "Any", params: dict) -> pd.Index:
|
|
"""returns surviving tickers."""
|
|
|
|
|
|
def percentile_rank(series: pd.Series) -> pd.Series:
|
|
"""Percentile rank in [0, 100]. All-equal → 50. NaN preserved."""
|
|
if series.empty:
|
|
return series.astype(float)
|
|
if series.dropna().nunique() == 1:
|
|
return pd.Series(50.0, index=series.index)
|
|
ranked = series.rank(pct=True, na_option="keep") * 100.0
|
|
return ranked
|