"""Isolated browser acceptance fixture. No production DB or external model calls."""
from pathlib import Path
import sys
import threading
import time
import json

sys.path.insert(0, str(Path(__file__).resolve().parents[2] / 'wechat_rpa'))
import admin_backend
import admin_api
from archive_store import ArchiveStore
from knowledge_store import KnowledgeStore
from knowledge_worker import KnowledgeWorker
from test_knowledge import KnowledgeTest

folder=Path(__file__).resolve().parent
db=admin_backend.Database(folder/'backend.db')
if not db.path.exists():
    db.initialize('InitialAdmin123')
    actor=db.authenticate('admin','InitialAdmin123')['id']
    db.change_password(actor,'InitialAdmin123','KnowledgeQA@2026','')
    _, account=db.create_desktop_session({'user_id':'knowledge-qa','sn':'QA001','nickname':'流程验收客服'},
                                         'qa-device','QA','1.0','127.0.0.1')
    store=KnowledgeStore(db)
    store.initialize()
    archive=ArchiveStore(db)
    for index, (question,answer) in enumerate([
        ('预约门店服务需要提前提供哪些信息？','请先提供希望到店的日期与服务项目，客服核实可预约时段后再确认。'),
        ('修改预约时间应该如何办理？','请提供原预约日期和希望调整的时间，客服确认新时段可用后再修改预约。'),
        ('到店之前是否需要再次确认预约？','建议到店前向客服确认预约日期、门店地址和接待时间，以当天确认结果为准。'),
    ]):
        payload=KnowledgeTest.payload(None,account['tenant_id'],[('inbound',question),('outbound',answer)],f'S:qa-{index}')
        for row in payload['messages']:
            row['source_message_id']=f'qa-{index}-'+row['source_message_id']
        archive.import_messages(payload,actor,'')
    (folder/'fixture.json').write_text(json.dumps({'account_id':account['id'],'tenant_id':account['tenant_id']}),encoding='utf-8')

app=admin_api.create_app(db.path)
@app.middleware('http')
async def api_prefix(request, call_next):
    if request.scope['path'].startswith('/api/') and not request.scope['path'].startswith('/api/v2/'):
        request.scope['path']=request.scope['path'].replace('/api/','/api/v2/',1)
        request.scope['raw_path']=request.scope['path'].encode()
    return await call_next(request)

def worker_loop():
    worker=KnowledgeWorker(app.state.knowledge_store)
    while True:
        worker.step()
        time.sleep(0.3)

if __name__=='__main__':
    import uvicorn
    threading.Thread(target=worker_loop,daemon=True).start()
    uvicorn.run(app,host='127.0.0.1',port=18866,log_level='warning')