fix(cninfo): URL 404 + type null + 表格截断 + PDF 下载(实测 601088 暴露)

This commit is contained in:
Justin Gu
2026-06-14 23:58:24 +08:00
parent c0605698f3
commit 574b284dd5
6 changed files with 547 additions and 44 deletions
+45 -13
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@@ -136,11 +136,15 @@ easy-tdx symbol-info SZ 000001 --table
```bash
easy-tdx announcement 688017 # 默认 30 条,JSON 输出
easy-tdx announcement 600519 --count 50 --page 2 # 翻页
easy-tdx announcement 000001 --table # 表格输出
easy-tdx announcement 601088 --count 10 --page 2 # 翻页
easy-tdx announcement 000001 --table # 表格输出(不截断 url
# 下载最新 5 条公告的 PDF 到 ./pdfs 目录
easy-tdx announcement 601088 --count 5 --download 5 --download-dir ./pdfs
```
> 独立数据源(巨潮资讯网),无需连接 TDX 行情服务器即可使用。
> 返回的 ``url`` 含 4 参数可直接打开,``pdf_url`` 为 PDF 直链。
### 技术指标
@@ -868,7 +872,8 @@ curl "http://localhost:8000/api/v1/mac/server-info"
# ── 公告检索(巨潮资讯网,独立数据源)──
# 检索公司公告(无需 TDX 行情服务器)
curl "http://localhost:8000/api/v1/announcements?code=688017&count=30&page=1"
# 返回{"data": [{"title": "...", "type": "...", "date": "...", "url": "..."}], "count": 30}
# 返回每条含 url(4 参数可直点打开)和 pdf_url(PDF 直链):
# {"data": [{"title":"...","type":"...","date":"...","url":".../detail?stockCode=...","pdf_url":"http://static.cninfo.com.cn/.../xxx.PDF",...}], "count": 30}
# ── 排行 / 竞价 / 异动 ──
# 全 A 涨幅排行前 20
@@ -1338,19 +1343,39 @@ client = CninfoClient()
# 检索公告(默认 30 条,最新在前)
df = client.get_announcements("688017")
# → DataFrame[title, type, date, url]
# → DataFrame[title, type, date, url, code, org_id, announcement_id, announcement_time, pdf_url]
# 翻页 + 自定义数量
df = client.get_announcements("600519", count=50, page=2)
df = client.get_announcements("601088", count=10, page=2)
# 返回示例:
# title type date url
# 0 关于召开2025年年度股东大会的通知 股东大会 2025-06-14 https://www.cninfo.com.cn/new/disclosure/detail?annoId=abc123
# 1 2024年年度报告 定期报告 2025-03-28 https://www.cninfo.com.cn/new/disclosure/detail?annoId=def456
# 返回示例(url 含 4 参数可直点打开,pdf_url 为 PDF 直链)
# title type date url pdf_url
# 0 关于召开2025年年度股东大会... 股东大会 2025-06-14 .../detail?stockCode=688017&announcementId=... http://static.cninfo.com.cn/.../xxx.PDF
# 1 2024年年度报告 PDF 2025-03-28 .../detail?stockCode=688017&announcementId=... http://static.cninfo.com.cn/.../yyy.PDF
```
> orgId 解析沿用 #19 修复:动态拉取官方映射表,查不到回退硬编码规则,
> 保证 601xxx 等非标 orgId 段也能正常查询
> - ``type`` 优先取 cninfo 的 ``announcementTypeName``;该字段对很多公告为 null
> (数据源限制),此时回退到 ``adjunctType``(如 "PDF"),再为空给空字符串
> - ``url`` 必须含 4 参数(``stockCode``/``announcementId``/``orgId``/``announcementTime``
> 才能打开,少参数会 404。
> - orgId 解析沿用 #19 修复:动态拉取官方映射表,查不到回退硬编码规则,
> 保证 601xxx 等非标 orgId 段也能正常查询。
#### 下载公告 PDF
```python
# 下载最新一条公告的 PDF 到当前目录
df = client.get_announcements("601088", count=5)
path = client.download_pdf(df.iloc[0]) # 接受 Announcement 或 DataFrame 的一行
print(path) # /abs/path/20260605_1225351400.PDF
# 批量下载
for _, row in df.iterrows():
try:
path = client.download_pdf(row, dest_dir="./pdfs")
except Exception as e:
print(f"跳过(无附件或失败): {e}")
```
## 枚举参考
@@ -1560,12 +1585,19 @@ ruff format --check src/ tests/ # format check
**新增巨潮公告检索** — 三层接入(编程 API / CLI / Web API),独立数据源,无需连接 TDX 行情服务器。
- 新模块 `easy_tdx.cninfo``CninfoClient().get_announcements(code, count=, page=)` 返回 `DataFrame[title, type, date, url]`
- CLI`easy-tdx announcement 688017 [--count N --page N --table]`
- 新模块 `easy_tdx.cninfo``CninfoClient().get_announcements(code, count=, page=)` 返回 `DataFrame[title, type, date, url, code, org_id, announcement_id, announcement_time, pdf_url]`
- CLI`easy-tdx announcement 688017 [--count N --page N --table] [--download N --download-dir DIR]`
- Web`GET /api/v1/announcements?code=&count=&page=`
- `CninfoClient().download_pdf(announcement, dest_dir=)` 下载公告 PDF(接受 `Announcement` 或 DataFrame 一行)
- 标准库 urllib 实现,零新依赖
- 沿用 #19 修复的 orgId 动态映射 + 三段硬编码 fallback(保证 601xxx 段可查)
**Bug 修复**(实测 601088 暴露):
- `type` 列全 null:cninfo 对很多公告不填 `announcementTypeName`,回退到 `adjunctType`(如 "PDF"
- `url` 404:原仅拼 `announcementId` 一个参数,补全 4 参数 `stockCode`/`announcementId`/`orgId`/`announcementTime`
- 表格输出 url 被截断成 `https://www.cninfo.com.cn/new/``announcement --table` 改用不截断渲染
### 1.12.0 (2026-06-14)
**新增 4 个技术指标(30 → 34)** — 按"语义空白"补齐三类现有指标库缺失的维度:止损位、机构成本价、趋势启动时机。均为纯 numpy 实现,零新依赖。
+68 -3
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@@ -11,7 +11,28 @@ import click
@click.option("--page", default=1, type=int, help="页码(1 起始)")
@click.option("--table", "use_table", is_flag=True, help="表格输出")
@click.option("--output", "output_fmt", type=click.Choice(["json", "table", "csv"]), default="json")
def announcement(code: str, count: int, page: int, use_table: bool, output_fmt: str) -> None:
@click.option(
"--download",
"download_n",
type=int,
default=0,
help="下载最新 N 条公告的 PDF(0=不下载),需配合 --download-dir",
)
@click.option(
"--download-dir",
"download_dir",
default=".",
help="PDF 保存目录(默认当前目录,自动创建)",
)
def announcement(
code: str,
count: int,
page: int,
use_table: bool,
output_fmt: str,
download_n: int,
download_dir: str,
) -> None:
"""检索公司公告(巨潮资讯网,独立数据源,无需连接 TDX)。
\b
@@ -19,9 +40,12 @@ def announcement(code: str, count: int, page: int, use_table: bool, output_fmt:
easy-tdx announcement 688017
easy-tdx announcement 600519 --count 50 --page 2
easy-tdx announcement 601088 --count 50 --page 2
easy-tdx announcement 000001 --table
# 下载最新 5 条公告的 PDF 到 ./pdfs 目录
easy-tdx announcement 601088 --count 5 --download 5 --download-dir ./pdfs
"""
from ..cninfo import CninfoClient, CninfoError
from .output import print_error, print_output
@@ -33,4 +57,45 @@ def announcement(code: str, count: int, page: int, use_table: bool, output_fmt:
except CninfoError as e:
print_error(str(e))
raise SystemExit(1) from e
print_output(df, fmt)
# 表格模式下不截断长文本列(url/title 经常超 30 字符,默认 output 会切到不可读)
if fmt == "table":
from .output import _render_table_full
click.echo(_render_table_full(df))
else:
print_output(df, fmt)
# PDF 下载
if download_n > 0:
if df.empty:
print_error("无公告可下载")
raise SystemExit(1)
to_download = df.head(download_n)
click.echo(f"开始下载 {len(to_download)} 条公告 PDF 到 {download_dir} ...", err=True)
downloaded = 0
skipped = 0
# 复用 _query_announcements 已解析的 Announcement 对象需要重新查;
# 这里直接从 DataFrame 行构造 Announcement 以避免二次网络请求。
from ..cninfo.models import Announcement
for _, row in to_download.iterrows():
anno = Announcement(
title=row["title"],
type=row["type"],
date=row["date"],
url=row["url"],
code=row["code"],
org_id=row["org_id"],
announcement_id=row["announcement_id"],
announcement_time=row["announcement_time"],
pdf_url=row["pdf_url"],
)
try:
path = client.download_pdf(anno, dest_dir=download_dir)
click.echo(f"{path}", err=True)
downloaded += 1
except CninfoError as e:
click.echo(f" ✗ 跳过({row['title'][:30]}: {e}", err=True)
skipped += 1
click.echo(f"完成:{downloaded} 个下载,{skipped} 个跳过", err=True)
+15 -4
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@@ -35,13 +35,23 @@ def print_error(msg: str) -> None:
def _render_table(df: pd.DataFrame) -> str:
"""将 DataFrame 渲染为人类可读的文本表格。"""
return _render_table_impl(df, truncate=30)
def _render_table_full(df: pd.DataFrame) -> str:
"""渲染表格但**不截断**长文本列(适用于 url/title 等长字段)。"""
return _render_table_impl(df, truncate=None)
def _render_table_impl(df: pd.DataFrame, truncate: int | None) -> str:
"""表格渲染实现。``truncate=None`` 时不截断 object 列。"""
if df.empty:
return "(无数据)"
display_df = df.copy()
for col in display_df.columns:
if display_df[col].dtype == object:
display_df[col] = display_df[col].astype(str).str.slice(0, 30)
if display_df[col].dtype == object and truncate is not None:
display_df[col] = display_df[col].astype(str).str.slice(0, truncate)
try:
import tabulate
@@ -51,10 +61,11 @@ def _render_table(df: pd.DataFrame) -> str:
lines: list[str] = []
cols = list(display_df.columns)
header = " | ".join(str(c) for c in cols)
sep = "-+-".join("-" * min(len(str(c)), 30) for c in cols)
cap = truncate if truncate is not None else 100
sep = "-+-".join("-" * min(len(str(c)), cap) for c in cols)
lines.append(header)
lines.append(sep)
for _, row in display_df.iterrows():
line = " | ".join(str(v)[:30] for v in row.values)
line = " | ".join(str(v)[:cap] for v in row.values)
lines.append(line)
return "\n".join(lines)
+90 -9
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@@ -15,6 +15,7 @@ from __future__ import annotations
import json
import logging
import os
from datetime import datetime
from typing import Any
from urllib import parse
@@ -22,7 +23,7 @@ from urllib import request as urlrequest
import pandas as pd
from .models import Announcement, CninfoError
from .models import Announcement, CninfoError, build_detail_url, build_pdf_url
logger = logging.getLogger(__name__)
@@ -33,7 +34,6 @@ _UA = (
)
_STOCK_MAP_URL = "http://www.cninfo.com.cn/new/data/szse_stock.json"
_QUERY_URL = "https://www.cninfo.com.cn/new/hisAnnouncement/query"
_DETAIL_URL = "https://www.cninfo.com.cn/new/disclosure/detail?annoId="
# 模块级 orgId 映射缓存:首次拉取后全程复用(Cpython dict 读写原子,
# 并发下最坏多发一次请求,可接受)
@@ -137,14 +137,87 @@ class CninfoClient:
page: 页码(1 起始)。
Returns:
``DataFrame[title, type, date, url]``,按服务器返回顺序(最新在前)。
``DataFrame[title, type, date, url, code, org_id, announcement_id,
announcement_time, pdf_url]``,按服务器返回顺序(最新在前)。
无结果时返回空 DataFrame(含列名)。
Note:
``type`` 列优先取 cninfo 的 ``announcementTypeName``;该字段对很多
公告为 null(数据源限制),此时回退到 ``adjunctType``(如 "PDF"),
再为空给空字符串。
"""
rows = self._query_announcements(code, count=count, page=page)
cols = [
"title",
"type",
"date",
"url",
"code",
"org_id",
"announcement_id",
"announcement_time",
"pdf_url",
]
if not rows:
return pd.DataFrame(columns=["title", "type", "date", "url"])
return pd.DataFrame(columns=cols)
return pd.DataFrame([r.__dict__ for r in rows])
def download_pdf(
self,
announcement: Announcement | pd.Series[Any],
dest_dir: str | os.PathLike[str] = ".",
*,
filename: str | None = None,
) -> str:
"""下载公告 PDF 附件到本地。
Args:
announcement: ``get_announcements`` 返回的单条记录(需含 pdf_url)。
也接受 ``pd.Series``DataFrame 的一行)。
dest_dir: 目标目录,默认当前目录。不存在会自动创建。
filename: 保存文件名(不含路径)。默认 ``{date}_{announcement_id}.PDF``。
Returns:
下载后的本地文件绝对路径。
Raises:
CninfoError: 该公告无 PDF 附件(pdf_url 为空),或下载失败。
"""
# 统一为字段访问:兼容 pd.SeriesDataFrame.iloc[i])和 Announcement
if isinstance(announcement, Announcement):
pdf_url = announcement.pdf_url
anno_time = announcement.announcement_time
anno_id = announcement.announcement_id
else:
# pd.Series 的 .get/__getitem__ 行为
pdf_url = str(announcement.get("pdf_url", "") or "")
anno_time = int(announcement.get("announcement_time", 0) or 0)
anno_id = str(announcement.get("announcement_id", "x") or "")
if not pdf_url:
raise CninfoError("该公告无 PDF 附件(pdf_url 为空)")
dest_dir = os.fspath(dest_dir)
os.makedirs(dest_dir, exist_ok=True)
if filename is None:
# announcement_time 为毫秒时间戳,转 YYYYMMDD 更可读
try:
date_str = datetime.fromtimestamp(anno_time / 1000).strftime("%Y%m%d")
except (OSError, ValueError, OverflowError):
date_str = "unknown"
filename = f"{date_str}_{anno_id}.PDF"
filepath = os.path.join(dest_dir, filename)
try:
req = urlrequest.Request(pdf_url, headers={"User-Agent": _UA})
with urlrequest.urlopen(req, timeout=self.timeout) as resp:
data = resp.read()
with open(filepath, "wb") as f:
f.write(data)
except Exception as e: # noqa: BLE001 — 下载失败统一转领域异常
raise CninfoError(f"PDF 下载失败: {e}") from e
return os.path.abspath(filepath)
def _query_announcements(self, code: str, *, count: int, page: int) -> list[Announcement]:
"""POST 公告检索接口,解析为 Announcement 列表。
@@ -177,13 +250,21 @@ class CninfoClient:
for item in items:
if not isinstance(item, dict):
continue
anno_id = item.get("announcementId", "")
anno_id = str(item.get("announcementId", "") or "")
anno_time = item.get("announcementTime", 0) or 0
# type 回退:announcementTypeName 常为 null → adjunctType (如 "PDF")
type_name = item.get("announcementTypeName") or item.get("adjunctType") or ""
result.append(
Announcement(
title=item.get("announcementTitle", ""),
type=item.get("announcementTypeName", ""),
date=_ts_to_date(item.get("announcementTime")),
url=f"{_DETAIL_URL}{anno_id}",
title=item.get("announcementTitle", "") or "",
type=type_name,
date=_ts_to_date(anno_time),
url=build_detail_url(code, anno_id, org_id, anno_time),
code=code,
org_id=org_id,
announcement_id=anno_id,
announcement_time=anno_time,
pdf_url=build_pdf_url(item.get("adjunctUrl", "") or ""),
)
)
return result
+40
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@@ -6,18 +6,58 @@ from dataclasses import dataclass
from easy_tdx.exceptions import TdxError
# PDF 附件直链前缀(adjunctUrl 拼此 base 即真实 PDF 地址)
_PDF_BASE = "http://static.cninfo.com.cn/"
@dataclass(frozen=True)
class Announcement:
"""单条公告记录。
巨潮公告检索接口返回的标准化结构。
Attributes:
title: 公告标题。
type: 公告类型(优先 ``announcementTypeName``,缺失时回退 ``adjunctType``
"PDF",再缺失给空字符串 — cninfo 对很多公告不填 typeName)。
date: 公告日期 ``YYYY-MM-DD``。
url: 公告详情页 URL(含 stockCode/announcementId/orgId/announcementTime 四参数)。
code: 6 位股票代码。
org_id: 巨潮 orgId(详情页 URL 参数)。
announcement_id: 巨潮公告 ID(详情页 URL 参数 + PDF 文件名构成)。
announcement_time: 原始 Unix 毫秒时间戳(详情页 URL 参数)。
pdf_url: PDF 附件直链(``adjunctUrl`` 拼接 ``static.cninfo.com.cn``),
无附件时为空字符串。
"""
title: str
type: str
date: str # YYYY-MM-DD
url: str
code: str
org_id: str
announcement_id: str
announcement_time: int
pdf_url: str
def build_detail_url(code: str, announcement_id: str, org_id: str, announcement_time: int) -> str:
"""构造公告详情页 URL(4 参数缺一不可,否则 404)。"""
return (
"https://www.cninfo.com.cn/new/disclosure/detail?"
f"stockCode={code}&announcementId={announcement_id}"
f"&orgId={org_id}&announcementTime={announcement_time}"
)
def build_pdf_url(adjunct_url: str) -> str:
"""``adjunctUrl``(如 finalpage/2026-06-05/xxx.PDF)拼成完整 PDF 直链。
无附件(adjunctUrl 为空)返回空字符串。
"""
if not adjunct_url:
return ""
return f"{_PDF_BASE}{adjunct_url}"
class CninfoError(TdxError):
+289 -15
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@@ -1,12 +1,13 @@
"""巨潮(cninfo)模块离线测试 —— mock HTTP,零网络依赖。
覆盖:日期转换、orgId 解析(动态表/三段 fallback)、公告解析、分页
错误转换、模块导出。
覆盖:日期转换、orgId 解析(动态表/三段 fallback)、公告解析(含 URL 4 参数
type 回退、pdf_url)、PDF 下载、分页、错误转换、模块导出。
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
import pandas as pd
@@ -27,14 +28,28 @@ def test_public_exports() -> None:
def test_announcement_is_frozen_dataclass() -> None:
"""Announcement 应为 frozen dataclass,含 title/type/date/url"""
"""Announcement 应为 frozen dataclass,含全部字段"""
from easy_tdx.cninfo import Announcement
a = Announcement(title="t", type="ty", date="2026-06-14", url="http://x")
a = Announcement(
title="t",
type="ty",
date="2026-06-14",
url="http://x",
code="688017",
org_id="9900041602",
announcement_id="abc123",
announcement_time=1718323200000,
pdf_url="http://static.cninfo.com.cn/x.PDF",
)
assert a.title == "t"
assert a.type == "ty"
assert a.date == "2026-06-14"
assert a.url == "http://x"
assert a.code == "688017"
assert a.org_id == "9900041602"
assert a.announcement_id == "abc123"
assert a.announcement_time == 1718323200000
assert a.pdf_url == "http://static.cninfo.com.cn/x.PDF"
# frozen
with pytest.raises(Exception):
a.title = "mutated" # type: ignore[misc]
@@ -49,6 +64,29 @@ def test_cninfo_error_is_exception() -> None:
assert issubclass(CninfoError, TdxError)
def test_build_detail_url_has_four_params() -> None:
"""回归 Bug2:详情页 URL 必须含 4 参数 stockCode/announcementId/orgId/announcementTime。"""
from easy_tdx.cninfo.models import build_detail_url
url = build_detail_url("601088", "1225351323", "9900003701", 1780588800000)
assert "stockCode=601088" in url
assert "announcementId=1225351323" in url
assert "orgId=9900003701" in url
assert "announcementTime=1780588800000" in url
def test_build_pdf_url() -> None:
"""adjunctUrl 应拼成 static.cninfo.com.cn 直链。"""
from easy_tdx.cninfo.models import build_pdf_url
assert (
build_pdf_url("finalpage/2026-06-05/1225351400.PDF")
== "http://static.cninfo.com.cn/finalpage/2026-06-05/1225351400.PDF"
)
assert build_pdf_url("") == ""
assert build_pdf_url(None) == "" # type: ignore[arg-type]
# ---------------------------------------------------------------------------
# 日期转换
# ---------------------------------------------------------------------------
@@ -58,7 +96,6 @@ def test_ts_to_date_from_millis() -> None:
"""Unix 毫秒整数应转为 YYYY-MM-DD。"""
from easy_tdx.cninfo.client import _ts_to_date
# 1718323200000 ms = 2024-06-14 00:00:00 UTC ≈ 当地日期
assert _ts_to_date(1718323200000) # 非空字符串,长度 10
assert len(_ts_to_date(1718323200000)) == 10
@@ -207,22 +244,34 @@ _QUERY_RESPONSE: dict[str, Any] = {
"announcementTypeName": "股东大会",
"announcementTime": 1749859200000,
"announcementId": "abc123",
"adjunctUrl": "finalpage/2026-06-14/abc123.PDF",
"adjunctType": "PDF",
},
{
"announcementTitle": "2024年年度报告",
"announcementTypeName": "定期报告",
"announcementTypeName": None, # Bug1 场景:typeName 为 null
"announcementTime": 1740614400000,
"announcementId": "def456",
"adjunctUrl": "finalpage/2026-02-27/def456.PDF",
"adjunctType": "PDF",
},
{
"announcementTitle": "无附件公告",
"announcementTypeName": None,
"announcementTime": 1740614400000,
"announcementId": "ghi789",
"adjunctUrl": "", # 无 PDF 附件
"adjunctType": None,
},
],
"totalAnnouncement": 2,
"totalAnnouncement": 3,
}
def test_get_announcements_returns_dataframe(
monkeypatch: pytest.MonkeyPatch, reset_orgid_cache: Any
) -> None:
"""应返回 DataFrame[title, type, date, url]"""
"""应返回 DataFrame,含全部新字段"""
_patch_stock_map(monkeypatch, {"688017": "9900041602"})
monkeypatch.setattr(
"easy_tdx.cninfo.client._http_post_form",
@@ -232,13 +281,75 @@ def test_get_announcements_returns_dataframe(
df = CninfoClient().get_announcements("688017", count=30, page=1)
assert isinstance(df, pd.DataFrame)
assert list(df.columns) == ["title", "type", "date", "url"]
assert len(df) == 2
expected_cols = [
"title",
"type",
"date",
"url",
"code",
"org_id",
"announcement_id",
"announcement_time",
"pdf_url",
]
assert list(df.columns) == expected_cols
assert len(df) == 3
# 第一行:正常 typeName
assert df.iloc[0]["title"] == "关于召开2025年年度股东大会的通知"
assert df.iloc[0]["type"] == "股东大会"
assert len(df.iloc[0]["date"]) == 10 # YYYY-MM-DD
assert df.iloc[0]["url"].endswith("abc123")
assert "cninfo.com.cn" in df.iloc[0]["url"]
assert len(df.iloc[0]["date"]) == 10
assert df.iloc[0]["pdf_url"].endswith("abc123.PDF")
def test_get_announcements_type_fallback_to_adjunct_type(
monkeypatch: pytest.MonkeyPatch, reset_orgid_cache: Any
) -> None:
"""回归 Bug1announcementTypeName 为 null 时回退 adjunctType。"""
_patch_stock_map(monkeypatch, {"688017": "9900041602"})
monkeypatch.setattr(
"easy_tdx.cninfo.client._http_post_form",
lambda url, payload, timeout=15.0: _QUERY_RESPONSE,
)
from easy_tdx.cninfo import CninfoClient
df = CninfoClient().get_announcements("688017")
# 第二行 typeName=null 但 adjunctType=PDF → type 应回退为 "PDF"
assert df.iloc[1]["type"] == "PDF"
# 第三行 typeName=null 且 adjunctType=null → type 为空字符串(非 nan)
assert df.iloc[2]["type"] == ""
def test_get_announcements_url_has_four_params(
monkeypatch: pytest.MonkeyPatch, reset_orgid_cache: Any
) -> None:
"""回归 Bug2:URL 必须含 4 参数才能打开(否则 404)。"""
_patch_stock_map(monkeypatch, {"688017": "9900041602"})
monkeypatch.setattr(
"easy_tdx.cninfo.client._http_post_form",
lambda url, payload, timeout=15.0: _QUERY_RESPONSE,
)
from easy_tdx.cninfo import CninfoClient
df = CninfoClient().get_announcements("688017")
url = df.iloc[0]["url"]
assert "stockCode=688017" in url
assert "announcementId=abc123" in url
assert "orgId=9900041602" in url
assert "announcementTime=" in url
def test_get_announcements_pdf_url(monkeypatch: pytest.MonkeyPatch, reset_orgid_cache: Any) -> None:
"""pdf_url 应为 static.cninfo.com.cn 直链,无附件时为空。"""
_patch_stock_map(monkeypatch, {"688017": "9900041602"})
monkeypatch.setattr(
"easy_tdx.cninfo.client._http_post_form",
lambda url, payload, timeout=15.0: _QUERY_RESPONSE,
)
from easy_tdx.cninfo import CninfoClient
df = CninfoClient().get_announcements("688017")
assert df.iloc[0]["pdf_url"] == "http://static.cninfo.com.cn/finalpage/2026-06-14/abc123.PDF"
assert df.iloc[2]["pdf_url"] == "" # 无附件
def test_get_announcements_empty(monkeypatch: pytest.MonkeyPatch, reset_orgid_cache: Any) -> None:
@@ -253,7 +364,7 @@ def test_get_announcements_empty(monkeypatch: pytest.MonkeyPatch, reset_orgid_ca
df = CninfoClient().get_announcements("688017")
assert isinstance(df, pd.DataFrame)
assert df.empty
assert list(df.columns) == ["title", "type", "date", "url"]
assert len(df.columns) == 9
def test_get_announcements_missing_key(
@@ -340,6 +451,7 @@ def test_get_announcements_skips_non_dict_items(
"announcementTitle": "ok",
"announcementTime": 1749859200000,
"announcementId": "x",
"adjunctUrl": "",
},
]
},
@@ -389,6 +501,168 @@ def test_get_announcements_malformed_timestamp_wrapped_as_cninfo_error(
CninfoClient().get_announcements("688017")
# ---------------------------------------------------------------------------
# PDF 下载
# ---------------------------------------------------------------------------
def _make_anno(**overrides: Any) -> Any:
"""构造测试用 Announcement(默认有 pdf_url)。"""
from easy_tdx.cninfo import Announcement
defaults: dict[str, Any] = {
"title": "测试公告",
"type": "PDF",
"date": "2026-06-14",
"url": "http://x",
"code": "688017",
"org_id": "9900041602",
"announcement_id": "abc123",
"announcement_time": 1718323200000,
"pdf_url": "http://static.cninfo.com.cn/x.PDF",
}
defaults.update(overrides)
return Announcement(**defaults)
def test_download_pdf_success(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None:
"""download_pdf 应写入文件并返回绝对路径。"""
from easy_tdx.cninfo import CninfoClient
pdf_bytes = b"%PDF-1.4\nfake pdf content"
class _FakeResp:
def __init__(self, body: bytes) -> None:
self._body = body
def read(self) -> bytes:
return self._body
def __enter__(self) -> _FakeResp:
return self
def __exit__(self, *args: Any) -> None:
pass
def _fake_urlopen(req: Any, timeout: float = 15.0) -> _FakeResp:
return _FakeResp(pdf_bytes)
import easy_tdx.cninfo.client as mod
monkeypatch.setattr(mod.urlrequest, "urlopen", _fake_urlopen)
anno = _make_anno()
path = CninfoClient().download_pdf(anno, dest_dir=tmp_path)
assert Path(path).exists()
assert Path(path).read_bytes() == pdf_bytes
# 默认文件名格式:{date}_{announcement_id}.PDF
assert "abc123" in Path(path).name
assert Path(path).name.endswith(".PDF")
def test_download_pdf_custom_filename(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None:
"""自定义 filename 应被使用。"""
from easy_tdx.cninfo import CninfoClient
class _FakeResp:
def read(self) -> bytes:
return b"%PDF-1.4"
def __enter__(self) -> _FakeResp:
return self
def __exit__(self, *args: Any) -> None:
pass
import easy_tdx.cninfo.client as mod
monkeypatch.setattr(mod.urlrequest, "urlopen", lambda req, timeout=15.0: _FakeResp())
path = CninfoClient().download_pdf(_make_anno(), dest_dir=tmp_path, filename="custom.pdf")
assert Path(path).name == "custom.pdf"
def test_download_pdf_no_attachment_raises() -> None:
"""pdf_url 为空应抛 CninfoError,不触网。"""
from easy_tdx.cninfo import CninfoClient, CninfoError
anno = _make_anno(pdf_url="")
with pytest.raises(CninfoError):
CninfoClient().download_pdf(anno)
def test_download_pdf_creates_dest_dir(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None:
"""目标目录不存在应自动创建。"""
from easy_tdx.cninfo import CninfoClient
class _FakeResp:
def read(self) -> bytes:
return b"%PDF-1.4"
def __enter__(self) -> _FakeResp:
return self
def __exit__(self, *args: Any) -> None:
pass
import easy_tdx.cninfo.client as mod
monkeypatch.setattr(mod.urlrequest, "urlopen", lambda req, timeout=15.0: _FakeResp())
nested = tmp_path / "a" / "b" / "c"
path = CninfoClient().download_pdf(_make_anno(), dest_dir=nested)
assert Path(path).exists()
assert nested.is_dir()
def test_download_pdf_accepts_series(monkeypatch: pytest.MonkeyPatch, tmp_path: Path) -> None:
"""download_pdf 应兼容 pd.SeriesDataFrame.iloc[i] 的返回类型)。"""
from easy_tdx.cninfo import CninfoClient
class _FakeResp:
def read(self) -> bytes:
return b"%PDF-1.4"
def __enter__(self) -> _FakeResp:
return self
def __exit__(self, *args: Any) -> None:
pass
import easy_tdx.cninfo.client as mod
monkeypatch.setattr(mod.urlrequest, "urlopen", lambda req, timeout=15.0: _FakeResp())
# 模拟 DataFrame 的一行
row = pd.Series(
{
"title": "t",
"type": "PDF",
"date": "2026-06-14",
"url": "http://x",
"code": "688017",
"org_id": "9900041602",
"announcement_id": "abc",
"announcement_time": 1718323200000,
"pdf_url": "http://static.cninfo.com.cn/x.PDF",
}
)
path = CninfoClient().download_pdf(row, dest_dir=tmp_path)
assert Path(path).exists()
def test_download_pdf_network_failure_wrapped(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
"""下载网络失败应转 CninfoError。"""
from easy_tdx.cninfo import CninfoClient, CninfoError
def _boom(req: Any, timeout: float = 15.0) -> Any:
raise OSError("connection reset")
import easy_tdx.cninfo.client as mod
monkeypatch.setattr(mod.urlrequest, "urlopen", _boom)
with pytest.raises(CninfoError):
CninfoClient().download_pdf(_make_anno(), dest_dir=tmp_path)
# ---------------------------------------------------------------------------
# urllib helper 烟雾测试(不触网,仅验证 JSON 解码路径)
# ---------------------------------------------------------------------------