225 lines
10 KiB
Python
225 lines
10 KiB
Python
# -*- coding: utf-8 -*-
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"""南方基金指定产品行情模块。"""
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from __future__ import annotations
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import re
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import time
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import logging
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from datetime import date, datetime, time as clock_time
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from typing import Any
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import httpx
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logger = logging.getLogger(__name__)
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NAV_API = "https://api.fund.eastmoney.com/f10/lsjz"
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RETURN_API = "https://api.fund.eastmoney.com/pinzhong/LJSYLZS"
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QUOTE_API = "https://push2.eastmoney.com/api/qt/ulist.np/get"
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DETAIL_API = "https://fund.eastmoney.com/pingzhongdata/{code}.js"
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REQUEST_TIMEOUT = 12.0
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MAX_FUNDS_PER_CALL = 1000
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SOUTHERN_FUND_CODES = tuple(dict.fromkeys("202308 020480 007161 003776 020281 018019 014189 018020 020553 016449 008854 008264 008736 010592 160127 588890 020839 589700 159382 159511 002900 021958 159948 009059 001421".split()))
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FUND_TYPE_GROUPS = {
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"货币型": ("202308", "020480"),
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"债券型": ("007161", "003776", "020281"),
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"混合型": ("018019", "014189", "018020"),
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"股票型": ("020553", "016449", "008854", "008264", "008736", "010592", "160127", "588890", "020839", "589700", "159382", "159511", "002900", "021958", "159948", "009059", "001421"),
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}
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FUND_TYPE_BY_CODE = {code: fund_type for fund_type, codes in FUND_TYPE_GROUPS.items() for code in codes}
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HEADERS = {"User-Agent": "Mozilla/5.0", "Referer": "https://fund.eastmoney.com/"}
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_history_date: str | None = None
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_history_cache: dict[str, dict[str, str | None]] = {}
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_name_cache: dict[str, str] = {}
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def is_market_trading_time(now: datetime | None = None) -> bool:
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"""判断中国大陆工作日盘中时段。"""
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current = now or datetime.now()
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if current.weekday() >= 5:
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return False
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current_time = current.time()
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return (clock_time(9, 30) <= current_time <= clock_time(11, 30)
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or clock_time(13, 0) <= current_time <= clock_time(15, 0))
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def get_southern_fund_market(target_date: str | None = None, limit: int | None = None, fund_type: str | None = None) -> list[dict[str, Any]]:
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"""获取指定南方基金的完整行情表。
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每次调用刷新整张表的实时行情;历史收益同一日期只请求一次并保存在进程缓存。
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limit 不传时返回 SOUTHERN_FUND_CODES 中的全部产品。
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"""
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query_date = target_date or date.today().isoformat()
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date.fromisoformat(query_date)
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if fund_type and fund_type not in FUND_TYPE_GROUPS:
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raise ValueError("基金类型必须是货币型、债券型、混合型或股票型")
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available_codes = FUND_TYPE_GROUPS[fund_type] if fund_type else SOUTHERN_FUND_CODES
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count = len(available_codes) if limit is None else min(max(limit, 1), MAX_FUNDS_PER_CALL)
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codes = list(available_codes[:count])
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names = _get_names(codes)
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history = _get_history(codes, query_date)
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quotes = _get_quotes(codes) if is_market_trading_time() else {}
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now = time.strftime("%Y-%m-%d")
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rows = []
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for code in codes:
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old = history.get(code, {})
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live = quotes.get(code, {})
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rows.append({
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"基金代码": code, "基金名称": names.get(code, f"南方基金 {code}"),
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"基金类型": FUND_TYPE_BY_CODE.get(code, "未分类"),
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"基金净值": live.get("基金净值") or old.get("基金净值"),
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"日期": live.get("日期") or old.get("日期"),
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"日涨幅": live.get("日涨幅") or old.get("日涨幅"),
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"最近半年": old.get("最近半年"), "最近一年": old.get("最近一年"),
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"今年以来": old.get("今年以来"), "成立以来": old.get("成立以来"),
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"行情时间": now,
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"行情来源": "盘中实时行情" if live.get("基金净值") else "收盘后最新净值",
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"是否盘中": is_market_trading_time(),
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})
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return rows
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def _get_names(codes: list[str]) -> dict[str, str]:
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for code in codes:
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if code in _name_cache:
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continue
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try:
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response = httpx.get(DETAIL_API.format(code=code), headers=HEADERS, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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match = re.search(r"var\s+fS_name\s*=\s*[\"']([^\"']+)", response.text)
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_name_cache[code] = match.group(1).strip() if match else f"南方基金 {code}"
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except (httpx.HTTPError, UnicodeError) as exc:
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logger.warning("基金名称接口失败 code=%s error=%s", code, type(exc).__name__)
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_name_cache[code] = f"南方基金 {code}"
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return {code: _name_cache.get(code, f"南方基金 {code}") for code in codes}
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def _get_quotes(codes: list[str]) -> dict[str, dict[str, str | None]]:
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secids = ",".join(("1." if code.startswith(("5", "6", "9")) else "0.") + code for code in codes)
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try:
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response = httpx.get(QUOTE_API, params={"fltt": 2, "invt": 2, "fields": "f12,f2,f3", "secids": secids}, headers=HEADERS, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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items = ((response.json().get("data") or {}).get("diff") or [])
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except (httpx.HTTPError, ValueError, TypeError) as exc:
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logger.warning("实时行情接口失败 count=%s error=%s", len(codes), type(exc).__name__)
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return {}
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return {str(item["f12"]): {"基金净值": str(item["f2"]) if item.get("f2") not in (None, "-") else None, "日期": None, "日涨幅": f"{item.get('f3')}%" if item.get("f3") not in (None, "-") else None} for item in items if item.get("f12")}
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def _get_history(codes: list[str], query_date: str) -> dict[str, dict[str, str | None]]:
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global _history_date, _history_cache
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if _history_date == query_date and all(code in _history_cache for code in codes):
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return _history_cache
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result = {}
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for code in codes:
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try:
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result[code] = _get_history_snapshot(code, query_date)
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except (httpx.HTTPError, ValueError, TypeError) as exc:
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logger.warning("历史净值计算失败 code=%s error=%s", code, type(exc).__name__)
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result[code] = _empty_returns()
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_history_date, _history_cache = query_date, result
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return result
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def _get_history_snapshot(fund_code: str, query_date: str) -> dict[str, str | None]:
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"""读取净值与累计收益率快照。"""
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latest_records = _fetch_nav_records(fund_code, all_pages=False)
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valid = _valid_records(latest_records)
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if not valid:
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return _empty_returns()
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target = date.fromisoformat(query_date)
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latest_date, _, latest = next((item for item in valid if item[0] == target), valid[0])
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return {
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"基金净值": latest.get("DWJZ"),
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"日期": latest.get("FSRQ"),
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"日涨幅": _format_percent(latest.get("JZZZL")),
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"最近半年": _fetch_return_rate(fund_code, "6月"),
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"最近一年": _fetch_return_rate(fund_code, "1年"),
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"今年以来": _fetch_return_rate(fund_code, "今年来"),
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"成立以来": _fetch_return_rate(fund_code, "成立来"),
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}
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def _fetch_nav_page(fund_code: str, page_index: int = 1, start_date: str | None = None, end_date: str | None = None) -> tuple[list[dict[str, Any]], int | None]:
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"""读取一页历史净值,并返回接口提供的总条数。"""
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response = httpx.get(NAV_API, params={"fundCode": fund_code, "pageIndex": page_index, "pageSize": 30, "startDate": start_date or "", "endDate": end_date or ""}, headers=HEADERS, timeout=REQUEST_TIMEOUT)
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response.raise_for_status()
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data = response.json().get("Data") or {}
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records = data.get("LSJZList") or []
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total = data.get("TotalCount") or data.get("totalCount")
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try:
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total = int(total) if total is not None else None
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except (TypeError, ValueError):
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total = None
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return records, total
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def _fetch_nav_records(fund_code: str, start_date: str | None = None, end_date: str | None = None, all_pages: bool = False) -> list[dict[str, Any]]:
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"""调用历史净值接口;区间收益需要时读取完整分页,避免重复使用同一基准日。"""
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records, total = _fetch_nav_page(fund_code, 1, start_date, end_date)
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if not all_pages or not total or total <= len(records):
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return records
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page_count = min((total + 29) // 30, 40)
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for page_index in range(2, page_count + 1):
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page_records, _ = _fetch_nav_page(fund_code, page_index, start_date, end_date)
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if not page_records:
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break
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records.extend(page_records)
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return records
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def _fetch_return_rate(fund_code: str, period: str) -> str | None:
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"""通过东方财富累计收益率接口读取指定区间的最新收益率。"""
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period_map = {
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"1月": "m",
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"3月": "q",
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"6月": "hy",
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"1年": "y",
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"3年": "try",
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"5年": "fiy",
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"今年来": "sy",
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"成立来": "se",
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}
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try:
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response = httpx.get(
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RETURN_API,
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params={"fundCode": fund_code, "indexcode": "000300", "type": period_map[period]},
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headers={"Referer": "https://fund.eastmoney.com/"},
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timeout=REQUEST_TIMEOUT,
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)
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response.raise_for_status()
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payload = response.json()
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series = (((payload.get("Data") or [{}])[0]).get("data") or [])
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if not series:
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return None
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latest = series[-1]
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if isinstance(latest, dict):
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value = latest.get("y")
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elif isinstance(latest, (list, tuple)) and len(latest) >= 2:
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value = latest[1]
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else:
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value = None
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if value in (None, ""):
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return None
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return _format_percent(value)
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except (httpx.HTTPError, ValueError, TypeError, KeyError, IndexError) as exc:
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logger.warning("累计收益率接口失败 code=%s period=%s error=%s", fund_code, period, type(exc).__name__)
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return None
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def _empty_returns() -> dict[str, str | None]:
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return {key: None for key in ("基金净值", "日期", "日涨幅", "最近半年", "最近一年", "今年以来", "成立以来")}
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def _valid_records(records: list[dict[str, Any]]) -> list[tuple[date, float, dict[str, Any]]]:
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valid = []
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for item in records:
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try:
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valid.append((date.fromisoformat(item["FSRQ"]), float(item["DWJZ"]), item))
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except (KeyError, TypeError, ValueError):
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continue
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return sorted(valid, key=lambda item: item[0], reverse=True)
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def _format_percent(value: Any) -> str | None:
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if value in (None, ""):
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return None
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text = str(value).strip()
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return text if text.endswith("%") else f"{text}%"
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