feat: 新增题材页面(列表 + 详情)

- 主页增加「题材热点」入口,跳转题材列表页
- 题材列表页:展示全部题材,支持按涨幅/强度/热度/成交额排序
- 题材详情页:简介、热点事件、相关新闻、板块涨跌统计、全部相关股票(含入选理由默认展开)
- 后端逆向封装东方财富题材接口 getThemeList/getDetail/getStockList,含交易时段感知缓存

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Sakurasan
2026-08-06 17:22:04 +08:00
co-authored by Claude
parent b107a12798
commit 45836f4a30
8 changed files with 1100 additions and 11 deletions
+2 -1
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@@ -6,7 +6,7 @@ from contextlib import asynccontextmanager
from dotenv import load_dotenv
from database import init_db
from routes import stock, collections, shares, sectors
from routes import stock, collections, shares, sectors, themes
load_dotenv()
@@ -31,6 +31,7 @@ app.include_router(stock.router, prefix="/api/stock")
app.include_router(collections.router, prefix="/api/collections")
app.include_router(shares.router, prefix="/api/share")
app.include_router(sectors.router, prefix="/api/sectors")
app.include_router(themes.router, prefix="/api/themes")
# 生产模式:后端同时托管前端静态文件
# catch-all 路由在 API 路由之后注册,所以 API 优先级更高
+53
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@@ -0,0 +1,53 @@
"""题材数据路由:题材列表、题材详情、题材相关股票"""
from fastapi import APIRouter, Query, HTTPException
from fastapi.responses import JSONResponse
from services import themes
router = APIRouter()
# 上游反代/CDN 可能按 path 缓存,显式禁止缓存
_NO_CACHE_HEADERS = {"Cache-Control": "no-store, no-cache, must-revalidate, max-age=0"}
@router.get("", summary="题材列表")
async def theme_list(
sort_field: int = Query(1, ge=1, le=5, description="排序字段:1=涨幅 3=强度 4=热度排名 5=成交额"),
asc: bool = Query(False, description="True=升序, False=降序"),
):
if sort_field not in (1, 3, 4, 5):
raise HTTPException(status_code=400, detail="排序字段仅支持 1/3/4/5")
data = await themes.fetch_theme_list(sort_field, asc)
return JSONResponse(
{"data": data, "count": len(data), "sort_field": sort_field, "asc": asc},
headers=_NO_CACHE_HEADERS,
)
@router.get("/{theme_code}/detail", summary="题材详情")
async def theme_detail(theme_code: str):
data = await themes.fetch_theme_detail(theme_code)
if not data:
return JSONResponse(
{"data": None, "theme_code": theme_code},
headers=_NO_CACHE_HEADERS,
)
return JSONResponse(
{"data": data, "theme_code": theme_code},
headers=_NO_CACHE_HEADERS,
)
@router.get("/{theme_code}/stocks", summary="题材相关股票(全部)")
async def theme_stocks(theme_code: str):
result = await themes.fetch_theme_stocks(theme_code)
return JSONResponse(
{
"data": result.get("stockList", []),
"statistic": result.get("statistic", {}),
"total": result.get("total", 0),
"theme_code": theme_code,
},
headers=_NO_CACHE_HEADERS,
)
+223
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@@ -0,0 +1,223 @@
"""东方财富题材数据服务:题材列表、题材详情、题材相关股票
逆向自 emrnweb.eastmoney.com/investment 的 H5 接口:
- 题材列表: POST https://emcfgdata.eastmoney.com/api/themeInvest/getThemeList
- 题材详情: GET https://emcfgdata.securities.eastmoney.com/api/themeInvest/getDetail/{themeCode}
- 相关股票: POST https://emcfgdata.eastmoney.com/api/themeInvest/getStockList
两个 POST 接口需要「移动端包装结构」:
{args:{...业务参数}, appKey, client, clientVersion, clientType, randomCode, timestamp}
"""
import asyncio
import json
import random
import string
import time
from datetime import datetime, time as dtime, timedelta, timezone
from typing import Optional
import httpx
from services.cache import get_cache, set_cache
# ---- 东方财富移动端配置中心域名 ----
_PZ_URL = "https://emcfgdata.eastmoney.com"
_PZ_CDN_URL = "https://emcfgdata.securities.eastmoney.com"
# appKey 与页面场景对应:题材列表索引页 / 题材详情页
_APP_KEY_INDEX = "rn-themeIndex"
_APP_KEY_DETAIL = "rn-themeDetail"
_HEADERS = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
"Origin": "https://emrnweb.eastmoney.com",
"Referer": "https://emrnweb.eastmoney.com/",
"Accept": "application/json",
"Accept-Language": "zh-CN,zh;q=0.9",
}
# ---- 交易时段感知缓存 ----
_CST = timezone(timedelta(hours=8)) # 北京时间
_TRADING_MORNING = (dtime(9, 30), dtime(11, 30))
_TRADING_AFTERNOON = (dtime(13, 0), dtime(15, 0))
def _is_trading_time() -> bool:
"""判断当前是否为 A 股交易时段(周一至周五 9:30-11:30 / 13:00-15:00"""
now = datetime.now(_CST)
if now.weekday() >= 5:
return False
t = now.time()
return (_TRADING_MORNING[0] <= t <= _TRADING_MORNING[1]
or _TRADING_AFTERNOON[0] <= t <= _TRADING_AFTERNOON[1])
def _dynamic_ttl() -> int:
"""盘中返回 2 分钟缓存 TTL,非交易时段 18 小时(覆盖到下一交易日)"""
return 0 if _is_trading_time() else 18
# ---- 请求封装 ----
def _build_payload(args: Optional[dict] = None, app_key: str = _APP_KEY_INDEX) -> dict:
"""构建东方财富移动端请求包装结构"""
return {
"args": args or {},
"appKey": app_key,
"client": "iOS",
"clientVersion": "8.3",
"clientType": "cfw",
"randomCode": "".join(random.choices(string.ascii_uppercase + string.ascii_lowercase + string.digits, k=16)),
"timestamp": int(time.time() * 1000),
}
async def _post(path: str, args: dict, app_key: str = _APP_KEY_INDEX) -> Optional[dict]:
"""POST 到配置中心接口,返回 data 层 JSON"""
payload = _build_payload(args, app_key)
try:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.post(_PZ_URL + path, json=payload, headers=_HEADERS)
if resp.status_code != 200:
return None
body = resp.json()
except Exception as e:
print(f"[themes] POST {path} 失败: {e}")
return None
if body.get("code") != 0:
print(f"[themes] POST {path} 返回错误: {body.get('message')}")
return None
return body.get("data")
async def _get_cdn(path: str, app_key: str = _APP_KEY_DETAIL) -> Optional[dict]:
"""GET 到配置中心 CDN 接口(题材详情),data 包装结构放 query 参数"""
payload = _build_payload({}, app_key)
params = {"data": json.dumps(payload, ensure_ascii=False)}
try:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.get(_PZ_CDN_URL + path, params=params, headers=_HEADERS)
if resp.status_code != 200:
return None
body = resp.json()
except Exception as e:
print(f"[themes] GET {path} 失败: {e}")
return None
if body.get("code") != 0:
print(f"[themes] GET {path} 返回错误: {body.get('message')}")
return None
return body.get("data")
# ---- 题材列表 ----
# sortField 映射(题材列表页):1=涨幅(bf3) 3=强度(strengthValue) 4=热度排名(hotRank) 5=成交额(fex5)
_LIST_PAGE_SIZE = 500
async def fetch_theme_list(sort_field: int = 1, asc: bool = False) -> list[dict]:
"""获取全部题材列表(内部循环分页拉全,约 623 个,最多 2 页)
Args:
sort_field: 排序字段 1/3/4/5
asc: True=升序, False=降序
"""
cache_key = f"theme_list:{sort_field}:{asc}"
cached = get_cache(cache_key)
if cached is not None:
return json.loads(cached)
sort = 1 if asc else -1
# hotRank 数值越小越热,"热度降序(最热在前)" 需反转为接口升序
if sort_field == 4:
sort = -sort
items: list[dict] = []
page = 1
total = None
for _ in range(5): # 安全上限
data = await _post(
"/api/themeInvest/getThemeList",
{"pageSize": _LIST_PAGE_SIZE, "pageNum": page, "sort": sort, "sortField": sort_field},
)
if not data:
break
if total is None:
total = data.get("total", 0)
page_items = data.get("list", [])
if not page_items:
break
items.extend(page_items)
if len(items) >= total:
break
page += 1
if items:
ttl = _dynamic_ttl()
if ttl > 0:
set_cache(cache_key, json.dumps(items, ensure_ascii=False), ttl_hours=ttl)
return items
# ---- 题材详情 ----
async def fetch_theme_detail(theme_code: str) -> Optional[dict]:
"""获取题材详情(简介 + 热点事件 + 相关新闻),缓存 1 小时"""
cache_key = f"theme_detail:{theme_code}"
cached = get_cache(cache_key)
if cached is not None:
return json.loads(cached)
data = await _get_cdn(f"/api/themeInvest/getDetail/{theme_code}", app_key=_APP_KEY_DETAIL)
if not data:
return None
set_cache(cache_key, json.dumps(data, ensure_ascii=False), ttl_hours=1)
return data
# ---- 题材相关股票 ----
_STOCK_PAGE_SIZE = 100
async def fetch_theme_stocks(theme_code: str) -> dict:
"""获取题材下全部相关股票(分页拉全),返回 {stockList, statistic, total}"""
cache_key = f"theme_stocks:{theme_code}"
cached = get_cache(cache_key)
if cached is not None:
return json.loads(cached)
stock_list: list[dict] = []
statistic = {}
total = 0
page = 1
for _ in range(20): # 安全上限
data = await _post(
"/api/themeInvest/getStockList",
{"themeCode": theme_code, "pageSize": _STOCK_PAGE_SIZE, "pageNum": page, "sort": -1, "sortField": "f3"},
app_key=_APP_KEY_DETAIL,
)
if not data:
break
if not statistic and data.get("statistic"):
statistic = data["statistic"]
page_items = data.get("stockList", [])
if not page_items:
break
stock_list.extend(page_items)
total = data.get("total", 0)
if len(stock_list) >= total:
break
page += 1
result = {"stockList": stock_list, "statistic": statistic, "total": total}
if stock_list:
ttl = _dynamic_ttl()
if ttl > 0:
set_cache(cache_key, json.dumps(result, ensure_ascii=False), ttl_hours=ttl)
return result