209 lines
8.4 KiB
Python
209 lines
8.4 KiB
Python
import os
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import sqlite3
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import sys
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import pytest
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from fastapi.testclient import TestClient
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PROJECT_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
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if PROJECT_DIR not in sys.path:
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sys.path.insert(0, PROJECT_DIR)
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import altcoin_db
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import web_server
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@pytest.fixture()
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def temp_db(tmp_path, monkeypatch):
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db_path = tmp_path / "altcoin_monitor.db"
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monkeypatch.setattr(altcoin_db, "DB_PATH", str(db_path))
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altcoin_db.init_db()
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yield db_path
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def _require_columns(conn, columns):
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rows = conn.execute("PRAGMA table_info(recommendation)").fetchall()
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existing = {row[1] for row in rows}
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for column in columns:
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assert column in existing, f"missing column: {column}"
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def _insert_recommendation(conn, **overrides):
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row = {
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"symbol": "TEST/USDT",
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"rec_time": "2026-04-30T10:00:00",
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"rec_state": "加速",
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"rec_score": 15.5,
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"entry_price": 1.25,
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"stop_loss": 1.1,
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"tp1": 1.4,
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"tp2": 1.55,
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"sector": "AI",
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"signals": "[]",
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"is_meme": 0,
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"status": "active",
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"current_price": 1.32,
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"max_price": 1.36,
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"max_drawdown_pct": -2.5,
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"max_pnl_pct": 5.2,
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"pnl_pct": 3.1,
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"last_track_time": "2026-04-30T11:00:00",
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"action_status": "可即刻买入",
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"entry_plan_json": '{"entry_action": "可即刻买入", "entry_price": 1.25}',
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"direction": "多头启动",
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"force_reason": "",
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"base_state": "加速",
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"sector_signal_count": 0,
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"strategy_version": "v11.1",
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"market_context_json": "{}",
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"derivatives_context_json": "{}",
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"sector_context_json": "{}",
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}
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row.update(overrides)
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conn.execute(
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"""
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INSERT INTO recommendation (
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symbol, rec_time, rec_state, rec_score, entry_price,
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stop_loss, tp1, tp2, sector, signals, is_meme,
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status, current_price, max_price, max_drawdown_pct,
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max_pnl_pct, pnl_pct, last_track_time, action_status,
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entry_plan_json, direction, force_reason, base_state,
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sector_signal_count, strategy_version,
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market_context_json, derivatives_context_json, sector_context_json
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) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""",
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(
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row["symbol"], row["rec_time"], row["rec_state"], row["rec_score"], row["entry_price"],
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row["stop_loss"], row["tp1"], row["tp2"], row["sector"], row["signals"], row["is_meme"],
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row["status"], row["current_price"], row["max_price"], row["max_drawdown_pct"],
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row["max_pnl_pct"], row["pnl_pct"], row["last_track_time"], row["action_status"],
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row["entry_plan_json"], row["direction"], row["force_reason"], row["base_state"],
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row["sector_signal_count"], row["strategy_version"],
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row["market_context_json"], row["derivatives_context_json"], row["sector_context_json"],
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),
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)
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def test_active_recommendations_expose_enriched_context(temp_db):
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conn = altcoin_db.get_conn()
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_require_columns(conn, [
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"market_context_json", "derivatives_context_json", "sector_context_json",
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])
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_insert_recommendation(
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conn,
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symbol="PNT/USDT",
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force_reason="静K蓄力旁路",
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base_state="蓄力",
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sector_signal_count=2,
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market_context_json='{"volume_24h": 12000000, "turnover_acceleration_1h": 2.8, "turnover_acceleration_4h": 1.6, "change_24h": 8.2}',
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derivatives_context_json='{"funding_rate": 0.0008, "top_trader_long_pct": 62.5, "top_trader_long_short_ratio": 1.7}',
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sector_context_json='{"sectors": ["AI", "Infra"], "hot_sectors": ["AI"], "leader_symbol": "WLD/USDT", "leader_move_pct": 9.6}',
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)
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conn.commit()
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conn.close()
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rows = altcoin_db.get_active_recommendations_deduped(actionable_only=False)
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assert len(rows) == 1
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item = rows[0]
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assert item["force_reason"] == "静K蓄力旁路"
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assert item["base_state"] == "蓄力"
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assert item["sector_signal_count"] == 2
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assert item["market_context"]["turnover_acceleration_1h"] == 2.8
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assert item["market_context"]["change_24h"] == 8.2
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assert item["derivatives_context"]["top_trader_long_pct"] == 62.5
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assert item["sector_context"]["leader_symbol"] == "WLD/USDT"
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assert item["sector_context"]["hot_sectors"] == ["AI"]
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def test_stats_exposes_market_context_summary(temp_db):
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conn = altcoin_db.get_conn()
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_require_columns(conn, [
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"market_context_json", "derivatives_context_json", "sector_context_json",
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])
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_insert_recommendation(
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conn,
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symbol="PNT/USDT",
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force_reason="静K蓄力旁路",
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base_state="蓄力",
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sector_signal_count=1,
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market_context_json='{"volume_24h": 12000000, "turnover_acceleration_1h": 2.8, "turnover_acceleration_4h": 1.6}',
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derivatives_context_json='{"funding_rate": 0.0008, "top_trader_long_pct": 62.5, "top_trader_long_short_ratio": 1.7}',
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sector_context_json='{"sectors": ["AI"], "hot_sectors": ["AI"], "leader_symbol": "WLD/USDT", "leader_move_pct": 9.6}',
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)
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_insert_recommendation(
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conn,
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symbol="AI/USDT",
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sector="AI,Gaming",
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force_reason="纯板块联动降级",
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base_state="加速",
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sector_signal_count=2,
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market_context_json='{"volume_24h": 20000000, "turnover_acceleration_1h": 3.2, "turnover_acceleration_4h": 2.1}',
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derivatives_context_json='{"funding_rate": 0.0012, "top_trader_long_pct": 66.0, "top_trader_long_short_ratio": 1.9}',
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sector_context_json='{"sectors": ["AI", "Gaming"], "hot_sectors": ["AI", "Gaming"], "leader_symbol": "TAO/USDT", "leader_move_pct": 12.4}',
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)
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conn.commit()
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conn.close()
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stats = altcoin_db.get_stats()
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market = stats["market_context_overview"]
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assert market["actionable_sample_count"] == 2
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assert market["avg_turnover_acceleration_1h"] == 3.0
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assert market["avg_funding_rate"] == 0.001
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assert market["avg_top_trader_long_pct"] == 64.2
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assert market["top_hot_sectors"][0] == {"sector": "AI", "count": 2}
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assert market["top_hot_sectors"][1] == {"sector": "Gaming", "count": 1}
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def test_stats_api_returns_market_context_overview(temp_db):
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conn = altcoin_db.get_conn()
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_require_columns(conn, ["market_context_json", "derivatives_context_json", "sector_context_json"])
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_insert_recommendation(
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conn,
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symbol="PNT/USDT",
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force_reason="静K蓄力旁路",
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base_state="蓄力",
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sector_signal_count=2,
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market_context_json='{"volume_24h": 12000000, "turnover_acceleration_1h": 2.8, "turnover_acceleration_4h": 1.6}',
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derivatives_context_json='{"funding_rate": 0.0008, "top_trader_long_pct": 62.5, "top_trader_long_short_ratio": 1.7}',
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sector_context_json='{"sectors": ["AI"], "hot_sectors": ["AI"], "leader_symbol": "WLD/USDT", "leader_move_pct": 9.6}',
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)
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conn.commit()
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conn.close()
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client = TestClient(web_server.app)
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resp = client.get("/api/stats")
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assert resp.status_code == 200
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data = resp.json()
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assert "market_context_overview" in data
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overview = data["market_context_overview"]
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assert overview["actionable_sample_count"] == 1
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assert overview["top_hot_sectors"][0]["sector"] == "AI"
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def test_recommendations_api_and_page_expose_context_fields(temp_db):
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conn = altcoin_db.get_conn()
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_insert_recommendation(
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conn,
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symbol="PNT/USDT",
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force_reason="静K蓄力旁路",
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base_state="蓄力",
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sector_signal_count=2,
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market_context_json='{"volume_24h": 12000000, "turnover_acceleration_1h": 2.8, "turnover_acceleration_4h": 1.6, "change_24h": 8.2}',
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derivatives_context_json='{"funding_rate": 0.0008, "open_interest_change_24h": 14.5, "top_trader_long_pct": 62.5, "top_trader_long_short_ratio": 1.7}',
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sector_context_json='{"sectors": ["AI", "Infra"], "hot_sectors": ["AI"], "leader_symbol": "WLD/USDT", "leader_move_pct": 9.6}',
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)
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conn.commit()
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conn.close()
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client = TestClient(web_server.app)
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api_resp = client.get("/api/recommendations/active?actionable_only=false")
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assert api_resp.status_code == 200
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rows = api_resp.json()
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assert rows[0]["market_context"]["turnover_acceleration_1h"] == 2.8
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assert rows[0]["derivatives_context"]["open_interest_change_24h"] == 14.5
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assert rows[0]["sector_context"]["leader_symbol"] == "WLD/USDT"
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