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.

zhixing-server/tests/integration/test_sector_radar_repository.py

@@ -3,13 +3,14 @@ from dataclasses import replace
 from datetime import UTC, date, datetime, timedelta
 from decimal import Decimal
 from pathlib import Path
+from unittest.mock import patch
 
 import psycopg
 import pytest
 from alembic import command
 from alembic.config import Config
 
-from zhixing_server.bootstrap.config import sqlalchemy_database_url
+from zhixing_server.bootstrap.config import Settings, sqlalchemy_database_url
 from zhixing_server.modules.sector_radar.domain.models import (
     MembershipStatus,
     PublicationStatus,
@@ -35,7 +36,12 @@ def prepare_database(database_url: str) -> None:
     config = Config(str(server_root / "alembic.ini"))
     sqlalchemy_url = sqlalchemy_database_url(database_url)
     config.set_main_option("sqlalchemy.url", sqlalchemy_url.replace("%", "%%"))
-    command.upgrade(config, "head")
+    config.config_file_name = None
+    with patch(
+        "zhixing_server.bootstrap.config.get_settings",
+        return_value=Settings(database_url=database_url),
+    ):
+        command.upgrade(config, "head")
 
 
 @pytest.mark.integration
@@ -111,12 +117,22 @@ def test_postgres_sector_radar_revisions_and_last_good() -> None:
                         status=StockFactStatus.AVAILABLE,
                         turnover_yuan=Decimal("1000"),
                         net_amount_yuan=Decimal("100"),
+                        pct_change=Decimal("1.25"),
+                        active_buy_net_amount_yuan=Decimal("-25000"),
                     ),
                 )
             ).inserted
             == 1
         )
 
+        with psycopg.connect(database_url) as connection:
+            detail_fact = connection.execute(
+                "SELECT pct_change, active_buy_net_amount_yuan "
+                "FROM sector_radar_stock_fact WHERE fact_revision = %s",
+                (fact_revision,),
+            ).fetchone()
+            assert detail_fact == (Decimal("1.25"), Decimal("-25000"))
+
         running = RadarPublication(
             publication_id=publication_ids[0],
             target_trade_date=TARGET_DATE,