# -*- coding: utf-8 -*-
"""原创离线合成样例；不连接模型、不读取账户。输出位于脚本旁。
已有输入保留，修改输入后可以重跑。失败边界由 --negative 单独演示。
"""
from pathlib import Path
import sys, json, csv, math, io, hashlib, html, base64, re
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
BASE = Path(__file__).resolve().parent
NEG = '--negative' in sys.argv
def write(name, value):
p=BASE/name; p.parent.mkdir(parents=True,exist_ok=True)
if isinstance(value,bytes): p.write_bytes(value)
else: p.write_text(value,encoding='utf-8',newline='')
def seed(name,value):
if not (BASE/name).exists(): write(name,value)
def jwrite(name,value): write(name,json.dumps(value,ensure_ascii=False,indent=2))
def jseed(name,value):
if not (BASE/name).exists(): jwrite(name,value)
def load(name): return json.loads((BASE/name).read_text(encoding='utf-8'))
def table(name,heads,rows):
f=io.StringIO(newline='');w=csv.writer(f);w.writerow(heads);w.writerows(rows);write(name,f.getvalue())
def page(name,title,body):
write(name,''+html.escape(title)+'
'+html.escape(title)+'
'+body+'')
def emit(data): print(json.dumps(data,ensure_ascii=False))
seed('predictions.csv','id,pred,confidence,truth\n1,1,.95,1\n2,0,.92,0\n3,1,.85,0\n4,0,.75,0\n5,1,.65,1\n6,1,.55,0\n')
rows=list(csv.DictReader((BASE/'predictions.csv').open()));out=[];manual=[]
for t in ([1.01] if NEG else [.5,.7,.9]):
kept=[r for r in rows if float(r['confidence'])>=t];risk=None if not kept else sum(r['pred']!=r['truth'] for r in kept)/len(kept);out.append([t,len(kept),len(kept)/len(rows),risk]);manual.extend([[t,r['id']] for r in rows if r not in kept])
table('coverage-risk.csv',['threshold','retained','coverage','risk'],out);table('manual-review.csv',['threshold','id'],manual)
points=' '.join(f'{50+r[2]*300},{250-(r[3] or 0)*300}' for r in out if r[3] is not None)
write('coverage-risk.svg',f'')
emit({'thresholds':out,'zero_coverage_risk_is_undefined':NEG})