feat(sector_radar): enhance sector radar functionality with active moneyflow and detailed metrics

- Introduced ActiveMoneyflowSource to fetch optional active-order flow, enhancing the sector radar's data capabilities.
- Updated StockFactRecord and DailyAggregateRecord to include pct_change and active_buy_net_amount_yuan for improved financial insights.
- Modified the build process to incorporate active moneyflow data without invalidating main rankings on failure.
- Enhanced the HTTP API to return detailed sector history and metrics, including pct_change and active buy metrics for members.
- Updated tests to validate the new functionality and ensure data integrity across various scenarios.
This commit is contained in:
yuxuanhui
2026-09-06 16:06:17 +08:00
parent 68282f5d46
commit 7f93d6b0f5
48 changed files with 4883 additions and 95 deletions
@@ -0,0 +1,77 @@
"""Replay the persisted real SPD sample in an isolated database, with no network.
The one-sector publication is exclusively a local integration fixture; its ranks
must never be interpreted as a market-wide ranking.
"""
import os
import json
from datetime import date
from pathlib import Path
from urllib.parse import urlsplit, urlunsplit
import psycopg
from alembic import command
from alembic.config import Config
from zhixing_server.bootstrap.config import Settings, get_settings
from zhixing_server.modules.sector_radar.application.build import BuildSectorRadar, BuildSectorRadarCommand
from zhixing_server.modules.sector_radar.domain.models import SectorType
from zhixing_server.modules.sector_radar.domain.source import (
SourceSnapshot, SourceResult, TradeCalendarRow, SectorIndexRow, SectorMemberRow,
StockBasicRow, SuspendRow, DailyRow, MoneyflowDcRow, MoneyflowRow, build_source_snapshot,
)
from zhixing_server.modules.sector_radar.infrastructure.postgres import PostgresSectorRadarRepository
def database_url():
"""Resolve only the named localhost fixture database without printing secrets."""
s=Settings(_env_file='../.env'); u=urlsplit(s.database_url)
return urlunsplit((u.scheme,u.netloc.rsplit('@',1)[0]+'@127.0.0.1:5433','/radar_detail_selftest_0906',u.query,''))
class StoredSource:
"""Implement provider port using already committed raw snapshots only."""
def __init__(self, dsn):
self.by_api={}
with psycopg.connect(dsn) as c:
for r in c.execute('SELECT id,api_name,normalized_params,target_trade_date,partition_key,observed_at,payload,row_count,returned_fields,content_sha256,row_limit,limit_reached FROM sector_radar_source_snapshot').fetchall():
snap=SourceSnapshot(r[0],r[1],tuple(sorted(r[2].items())),r[3],r[4],r[5],tuple(r[6]),r[7],tuple(r[8]),r[9],r[10],r[11])
self.by_api.setdefault(r[1],[]).append(snap)
def result(self, api, parser):
snaps=tuple(self.by_api[api])
return SourceResult(snaps,tuple(parser(row) for s in snaps for row in s.rows))
def fetch_trade_calendar(self,start,end):
return self.result('trade_cal',TradeCalendarRow.from_mapping)
def fetch_sector_indices(self,target,kind):
if kind is SectorType.INDUSTRY:
# Explicitly empty industry scope for this one-concept test fixture.
snap=build_source_snapshot(api_name='dc_index',params={'test_scope':'empty_industry'},rows=(),target_trade_date=target)
return SourceResult((snap,),())
return self.result('dc_index',lambda row:SectorIndexRow.from_mapping(row,kind))
def fetch_sector_members(self,target,codes):
return self.result('dc_member',SectorMemberRow.from_mapping)
def fetch_stock_basics(self):
return self.result('stock_basic',StockBasicRow.from_mapping)
def fetch_suspensions(self,target):
return self.result('suspend_d',SuspendRow.from_mapping)
def fetch_daily(self,target):
return self.result('daily',DailyRow.from_mapping)
def fetch_moneyflow_dc(self,target,codes):
return self.result('moneyflow_dc',MoneyflowDcRow.from_mapping)
def fetch_moneyflow(self,target):
return self.result('moneyflow',MoneyflowRow.from_mapping)
def main():
"""Run actual build and HTTP reads, checking independently recomputed facts."""
dsn=database_url()
os.environ['ZHIXING_DATABASE_URL']=dsn
get_settings.cache_clear()
command.upgrade(Config('alembic.ini'),'head')
repository=PostgresSectorRadarRepository(dsn,max_connections=2)
result=BuildSectorRadar(StoredSource(dsn),repository,today=date(2026,9,6)).execute(BuildSectorRadarCommand(trade_date=date(2026,9,4)))
print(json.dumps(result.as_dict(),ensure_ascii=False))
repository.close()
if __name__=='__main__':
main()