Python 后端提交

Python 后端(FastAPI + FastMCP + ...)的初始版本号设定为 0.1.0,这是 uv 在 pypriject.toml
里给我自动设置的,我觉得有道理。
This commit is contained in:
2026-04-21 13:38:46 +08:00
parent 14eadaab86
commit b284c3c260
27 changed files with 1691 additions and 0 deletions

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main.py Normal file
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from pathlib import Path
from secrets import token_urlsafe
from njupt_api.baselib import config, logger
from router import __version__
DATA_DIR = Path.cwd() / "data"
TEMP_DIR = Path.cwd() / "temp"
if __name__ == "__main__":
try:
with open(file=Path.cwd() / "njupt_api" / "art.txt", mode="r", encoding="utf-8") as f:
print(f.read().format(__version__)) # noqa:T201
except FileNotFoundError:
pass
import uvicorn
logger.success("Ciallo~(∠·ω< )⌒★")
# 创建需要的工作目录
if DATA_DIR.exists() and DATA_DIR.is_dir():
logger.debug(f"工作目录 {DATA_DIR=!s} 已存在。")
else:
DATA_DIR.mkdir(parents=True, exist_ok=True)
logger.debug(f"工作目录 {DATA_DIR=!s} 已创建。")
if TEMP_DIR.exists() and TEMP_DIR.is_dir():
logger.debug(f"工作目录 {TEMP_DIR=!s} 已存在。")
# 清空 temp 工作目录中的已有文件
c = 0
for item in TEMP_DIR.iterdir():
item.unlink()
c += 1
logger.debug(f"清理了 temp 工作目录中的 {c} 个已有文件。")
else:
TEMP_DIR.mkdir(parents=True, exist_ok=True)
logger.debug(f"工作目录 {TEMP_DIR=!s} 已创建。")
# 如果没有 toml 配置文件就创建
try:
config.sync_load_json()
except FileNotFoundError:
config.init_config()
config.sync_create_json()
lines = [
"",
"🌐 WebUI 管理面板将运行在 /webui 端点下,登录需要令牌。",
"",
"============================================================",
"🔐 管理后端令牌",
"============================================================",
"",
]
try:
with open(file=DATA_DIR / "token.txt", mode="r", encoding="utf-8") as f:
token = f.readline().strip()
lines.insert(-2, f"🔐 使用已经存在的管理后端令牌 | {token}")
except FileNotFoundError:
token = token_urlsafe(32)
with open(file=DATA_DIR / "token.txt", mode="w", encoding="utf-8") as f:
f.write(token)
lines.insert(-2, f"🔐 新的管理后端令牌已生成 | {token}")
lines.insert(-2, "🔐 你需要此令牌以登录管理员面板并可视化地配置 NJUPT Suan API。")
logger.info("\n".join(lines))
logger.info("🥭 准备 uvicorn run ...")
host = config.get("system", "host", "0.0.0.0")
port = config.get("system", "port", 8000)
reload = config.get("system", "reload", True)
logger.debug(f"启动参数 - {host=} | {port=} | {reload=}")
logger.debug("这些参数无法自动热重载。如果你修改了他们,请 Ctrl + C 关闭并重新启动 Suan API。")
uvicorn.run(
"server:app",
host=host,
port=port,
reload=reload,
reload_dirs=["njupt_api", "router"],
access_log=False,
log_level="critical",
timeout_graceful_shutdown=2,
)
logger.debug("退出时未清理 temp 工作目录,将在 Suan API 下次启动时清理。")
logger.info("🥭 uvicorn run 已结束。")

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njupt_api/__init__.py Normal file
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njupt_api/art.txt Normal file
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________ ___ ___ ___ ________ _________ ________ ___ ___ ________ ________ ________ ________ ___
|\ ___ \ |\ \|\ \|\ \|\ __ \|\___ ___\ |\ ____\|\ \|\ \|\ __ \|\ ___ \ |\ __ \|\ __ \|\ \
\ \ \\ \ \ \ \ \ \ \\\ \ \ \|\ \|___ \ \_| \ \ \___|\ \ \\\ \ \ \|\ \ \ \\ \ \ \ \ \|\ \ \ \|\ \ \ \
\ \ \\ \ \ __ \ \ \ \ \\\ \ \ ____\ \ \ \ \ \_____ \ \ \\\ \ \ __ \ \ \\ \ \ \ \ __ \ \ ____\ \ \
\ \ \\ \ \|\ \\_\ \ \ \\\ \ \ \___| \ \ \ \|____|\ \ \ \\\ \ \ \ \ \ \ \\ \ \ \ \ \ \ \ \ \___|\ \ \
\ \__\\ \__\ \________\ \_______\ \__\ \ \__\ ____\_\ \ \_______\ \__\ \__\ \__\\ \__\ \ \__\ \__\ \__\ \ \__\
\|__| \|__|\|________|\|_______|\|__| \|__| |\_________\|_______|\|__|\|__|\|__| \|__| \|__|\|__|\|__| \|__|
\|_________|
=> NJUPT Suan API (v.{}) | Made with 💗 by MangoFanFanw | Powered by FastAPI, FastMCP, Vue and more ~

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from .config import config
from .logger import LogRecord, log_buffer, log_record_serialize, logger
from .mcploggingmiddleware import LoggingMiddleware
from .playcontextmanager import PlayContextManager
__all__ = [
config,
LogRecord,
log_buffer,
log_record_serialize,
logger,
LoggingMiddleware,
PlayContextManager,
]

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njupt_api/baselib/config.py Normal file
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from json import dumps, loads
from pathlib import Path
from typing import TypeVar
import aiofiles
from .logger import logger
CONFIG_PATH = Path.cwd() / "data" / "config.json"
T = TypeVar("T")
class Config:
def __init__(self) -> None:
self._doc = {}
async def load_json(self) -> None:
"""
从 Toml 配置文件中读取配置。
"""
logger.debug("异步读取配置文件。")
async with aiofiles.open(file=CONFIG_PATH, mode="r") as f:
self._doc = loads(await f.read())
def sync_load_json(self) -> None:
"""
同步读取配置文件,仅限于 main.py 中启动时。
Raises:
FileNotFoundError: 配置文件不存在。
"""
logger.debug("同步读取配置文件。")
try:
with open(file=CONFIG_PATH, mode="r") as f:
self._doc = loads(f.read())
except FileNotFoundError:
logger.warning("FileNotFoundError - 配置文件不存在。")
raise
def sync_create_json(self) -> None:
"""
同步创建配置文件。
"""
logger.debug("同步创建配置文件。")
with open(file=CONFIG_PATH, mode="w") as f:
f.write(dumps(self._doc))
def init_config(self) -> None:
"""
重新初始化 Toml 配置文件。这会重置所有配置。
"""
logger.warning("初始化配置文件,这会重置所有配置。")
self._doc.clear()
doc_system = {}
doc_schedule = {}
doc_log = {}
doc_system["host"] = "0.0.0.0"
doc_system["port"] = 8000
doc_system["reload"] = True
doc_schedule["jwxt_login_method"] = "sso"
doc_schedule["semester_start_date"] = "2026-03-02"
doc_schedule["schedule_title_template"] = "芒果酸的第 {title} 周课程表"
doc_schedule["schedule_subtitle_template"] = "我也要上吗?"
doc_log["log_api_request_details"] = False
doc_log["log_mcp_request_details"] = False
doc_log["log_assets_request"] = False
self._doc["system"] = doc_system
self._doc["schedule"] = doc_schedule
self._doc["log"] = doc_log
async def save_json(self) -> None:
"""
异步保存 Toml 配置文件。
"""
logger.debug("异步保存配置文件。")
async with aiofiles.open(file=CONFIG_PATH, mode="w") as f:
await f.write(dumps(self._doc, indent=4))
def get(self, group: str, option: str, default: T) -> T:
"""
获取配置项的值。
Args:
group: Table
option: Key
default: 默认值
Returns:
Any与 default 参数类型相同。
"""
try:
return self._doc.get(group).get(option)
except AttributeError:
return default
def to_dict(self) -> dict:
return self._doc
def from_dict(self, data: dict) -> None:
self._doc.clear()
for key, value in data.items():
if isinstance(value, dict):
t_table = {}
for k, v in value.items():
t_table[k] = v
self._doc[key] = t_table
config = Config()

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import sys
from collections import deque
from loguru import logger
logger.remove()
logger.add(
sys.stdout,
level="DEBUG",
colorize=True,
)
logger.add("data/app.log", rotation="10 MB", retention="7 days") # 文件日志
log_buffer = deque(maxlen=1000)
class LogRecord:
log_counter = 0
def __init__(self, message: str) -> None:
self.id = LogRecord.log_counter
self.message = message
LogRecord.log_counter += 1
def log_record_serialize(record: LogRecord) -> dict:
return {
"id": record.id,
"message": record.message,
}
def memory_sink(message: str) -> None:
"""向自定义缓冲区写入日志,供 WebUI 获取
:param message: 'loguru._handler.Message'
"""
log_entry = LogRecord(message=message)
log_buffer.append(log_entry)
logger.add(sink=memory_sink, level="DEBUG", colorize=True)

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import time
from fastmcp.server.middleware import CallNext, MiddlewareContext
from fastmcp.server.middleware.middleware import Middleware
from fastmcp.tools import ToolResult
from mcp import types as mt
from . import config
from .logger import logger
class LoggingMiddleware(Middleware):
async def on_call_tool(
self,
context: MiddlewareContext[mt.CallToolRequestParams],
call_next: CallNext[mt.CallToolRequestParams, ToolResult],
) -> ToolResult:
tool_name = context.message.name
args = context.message.arguments
start_time = time.time()
logger.debug(f"MCP → 调用工具: {tool_name}")
if config.get("log", "log_mcp_request_details", False):
logger.debug(f"调用参数 - {args=}")
try:
result = await call_next(context)
elapsed = time.time() - start_time
logger.info(f"MCP ← 工具 {tool_name} 完成, 耗时: {elapsed:.3f}s")
return result
except Exception as e:
elapsed = time.time() - start_time
logger.error(
f"MCP ✗ 工具 {tool_name} 失败, 耗时: {elapsed:.3f}s, 错误: {e}",
)
raise

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from playwright.async_api import (
Browser,
BrowserContext,
Page,
Playwright,
async_playwright,
)
class PlayContextManager:
def __init__(
self,
playwright: Playwright = None,
browser: Browser = None,
context: BrowserContext = None,
page: Page = None,
) -> None:
self.playwright = playwright
self.browser = browser
self.context = context
self.page = page
self.isLogin = False
async def start(self) -> None:
"""手动启动"""
self.playwright = await async_playwright().start() # 不是 __enter__
self.browser = await self.playwright.chromium.launch(
headless=False,
args=[
"--disable-blink-features=AutomationControlled",
"--no-sandbox",
"--disable-setuid-sandbox",
"--disable-dev-shm-usage",
"--disable-gpu",
"--no-proxy-server",
],
)
self.context = await self.browser.new_context()
self.page = await self.context.new_page()
async def __aenter__(self) -> "PlayContextManager":
await self.start()
return self
async def close(self) -> None:
"""手动关闭"""
if self.context:
await self.context.close()
if self.browser:
await self.browser.close()
if self.playwright:
await self.playwright.stop() # 不是 __exit__
async def __aexit__(self, exc_type, exc_val, exc_tb) -> None: # noqa: ANN001
await self.close()

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from .createcourse import create_course_schedule
from .sso import SSO
from .types import Course, course_dict_serializer, course_list_serializer
from .zhengfang import ZhengFang
__all__ = [
create_course_schedule,
SSO,
Course,
course_dict_serializer,
course_list_serializer,
ZhengFang,
]

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import re
from bs4 import BeautifulSoup
from .types import Course
def normalize_course_str(course_str: str) -> str:
"""
规范化课程字符串,确保 create_course 能正确解析。
Returns:
字符串。
"""
parts = course_str.split("<br>")
while parts and parts[0] == "":
parts.pop(0)
while len(parts) < 4:
parts.append(" ")
for i in range(2, 4):
if parts[i] == "":
parts[i] = " "
return "<br>".join(parts)
def create_course_schedule(html: str) -> list[Course]:
"""解析给定 HTML 字符串,返回包含数个 Course 对象的列表。
Args:
html: HTML 字符串。应该有且只有一个 <table> 标签,其中是课程表数据。
Returns:
list[Course]
"""
soup = BeautifulSoup(html, "html.parser")
table = soup.find("table")
rows = table.find_all("tr")
courses: list[Course] = []
rowspan_map: dict[int, int] = {}
# 解析第一行表头,建立列索引到星期几的映射
# 表头格式第1列是"时间"(colspan=2),然后是 星期一 到 星期日
day_map: dict[int, int] = {} # col_idx -> day (1-7)
if rows:
header_cells = rows[0].find_all(["td", "th"])
col_idx = 0
for cell in header_cells:
text = cell.get_text(strip=True)
colspan = int(cell.get("colspan", 1))
# 跳过"时间"单元格
if text != "时间":
# 映射星期几到数字
day_mapping = {
"星期一": 1,
"星期二": 2,
"星期三": 3,
"星期四": 4,
"星期五": 5,
"星期六": 6,
"星期日": 7,
"星期天": 7,
}
day = day_mapping.get(text)
if day is not None:
for c in range(col_idx, col_idx + colspan):
day_map[c] = day
col_idx += colspan
for row_idx, row in enumerate(rows):
if row_idx == 0:
continue
cells = row.find_all(["td", "th"])
col_idx = 0
class_start: int | None = None
for cell in cells:
while col_idx in rowspan_map and rowspan_map[col_idx] > 0:
rowspan_map[col_idx] -= 1
if rowspan_map[col_idx] == 0:
del rowspan_map[col_idx]
col_idx += 1
text = cell.get_text(strip=True)
colspan = int(cell.get("colspan", 1))
rowspan = int(cell.get("rowspan", 1))
if text.startswith("") and text.endswith(""):
class_start = int(text[1:-1])
if rowspan > 1:
for c in range(col_idx, col_idx + colspan):
rowspan_map[c] = rowspan - 1
col_idx += colspan
continue
if text in ("早晨", "上午", "下午", "晚上"):
if rowspan > 1:
for c in range(col_idx, col_idx + colspan):
rowspan_map[c] = rowspan - 1
col_idx += colspan
continue
td_str = str(cell)
start = td_str.find(">") + 1
end = td_str.rfind("</td>")
inner_html = td_str[start:end]
if "&nbsp;" not in inner_html and inner_html.strip():
inner_html = re.sub(r"<br\s*/?>", "<br>", inner_html)
course_strs = [
s.strip() for s in re.split(r"(?:<br>){2,}", inner_html) if s.strip() and "&nbsp;" not in s
]
# 获取当前列对应的星期几
day = day_map.get(col_idx, 1) # 默认为1星期一
for course_str in course_strs:
course_str = normalize_course_str(course_str)
courses.append(
create_course(
course_str,
day,
default_classes_start=class_start,
),
)
if rowspan > 1:
for c in range(col_idx, col_idx + colspan):
rowspan_map[c] = rowspan - 1
col_idx += colspan
return courses
def create_course(
raw: str,
day: int,
default_classes_start: int | None = None,
) -> Course:
"""根据从 HTML 中提取出的原字符串解析课程信息
Args:
raw: 原字符串,以 <br> 作为换行符
day: 周内的星期几
default_classes_start: 如果没有解析出课程的 classes则使用此参数。
此参数应当从表格的行标题解析。
Returns:
Course
"""
# 0 1 2 3 4
# ['概率论与数理统计', '1-17单(1,2)', '王雪红', '教3-520', '']
raw_list = raw.split("<br>")
# 首先去除列表头部的所有空字符串
while True:
if raw_list[0] == "":
raw_list.pop(0)
else:
break
# 对于大部分课程raw_list[1] 都是形如以下格式
# 1-17(3,4)
# 1-17单(1,2) *(也可能是双)
# 2节/周
# 2节/单周 *(也可能是双)
# 周三第3,4节{第1-17周}
# 周五第3,4节{第2-16周|双周}
raw_time = raw_list[1]
weeks = []
classes = []
single = False # 内部变量
double = False # 内部变量
# 处理前两种形式
if "-" in raw_time and "" not in raw_time:
# 也可能是 '1-17单'
t = raw_time.split("(") # ['1-17', '3-4)']
# 也可能是 '17单'
start, end = t[0].split("-") # ['1', '17']
if end.endswith(""):
end = end[:-1]
single = True
elif end.endswith(""):
end = end[:-1]
double = True
for i in range(int(start), int(end) + 1):
if single and i % 2 == 0:
continue
if double and i % 2 == 1:
continue
weeks.append(i)
raw_classes = t[1].removesuffix(")")
classes = [int(i) for i in raw_classes.split(",")]
# 处理中两种形式
elif "/" in raw_time:
# 默认学期 1-16 周
if "/单周" in raw_time:
single = True
elif "/双周" in raw_time:
double = True
for i in range(1, 17):
if single and i % 2 == 0:
continue
if double and i % 2 == 1:
continue
weeks.append(i)
# 获取多少节课
t_num = int(raw_time.split("")[0])
for i in range(0, t_num):
classes.append(default_classes_start + i)
# 处理后两种形式
elif "" in raw_time:
# '周三', '3,4节{', '1-17周}'
# '周五', '3,4节{', '2-16周|双周}'
u = raw_time.split("")
classes = [int(u_c) for u_c in u[1].split("")[0].split(",")]
# '1-17', '}'
# '2-16', '|双', '}'
u_w = u[2].split("")
if "" in u_w[1]:
single = True
elif "" in u_w[1]:
double = True
u_start, u_end = u_w[0].split("-")
for i in range(int(u_start), int(u_end) + 1):
if single and i % 2 == 0:
continue
if double and i % 2 == 1:
continue
weeks.append(i)
teacher = raw_list[2] if raw_list[2] != " " else None
classroom = raw_list[3] if raw_list[3] != " " else None
return Course(raw_list[0], weeks, day, classes, teacher, classroom)
def convert_dict_schedule_to_tuple(schedule: list[dict]) -> list[tuple]:
"""将字典格式的课表转换为压缩的元组格式。
Args:
schedule: list[dict],标准格式的课程数据
Returns:
list[tuple]: 压缩后的元组格式 (name, teacher, classroom, weeks_str, day, classes)
其中 weeks 尽量压缩为字符串格式(如 "1-17"
"""
result = []
for course in schedule:
name = course.get("name", "")
teacher = course.get("teacher")
classroom = course.get("classroom")
weeks = course.get("weeks", [])
day = course.get("day", 1)
classes = course.get("classes", [])
# 压缩 weeks 为字符串
weeks_str = compress_weeks_to_string(weeks) if weeks else ""
result.append((name, teacher, classroom, weeks_str, day, classes))
return result
def compress_weeks_to_string(weeks: list[int]) -> str:
"""将周数列表压缩为最短的字符串表示。
例如:
[1,2,3,4,5] -> "1-5"
[1,3,5,7] -> "1,3,5,7"
[1,2,3,5,6,7,8] -> "1-3,5-8"
[1] -> "1"
Args:
weeks: 周数列表
Returns:
str: 压缩后的周数字符串
"""
if not weeks:
return ""
# 去重并排序
weeks = sorted({int(w) for w in weeks})
ranges = []
start = end = weeks[0]
for w in weeks[1:]:
if w == end + 1:
# 连续,扩展当前范围
end = w
else:
# 不连续,保存当前范围,开始新范围
ranges.append((start, end))
start = end = w
# 保存最后一个范围
ranges.append((start, end))
# 格式化为字符串
parts = []
for start, end in ranges:
if start == end:
parts.append(str(start))
else:
parts.append(f"{start}-{end}")
return ",".join(parts)

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from njupt_api.baselib import PlayContextManager, logger
class SSO(PlayContextManager):
def __init__(self) -> None:
super().__init__()
async def login(self, username: str, password: str) -> bool:
"""使用用户名和密码实现登录南邮统一身份验证。
Parameters:
username: 用户名,学号,一般为一位大写字母+八位数字
password: 密码
Returns:
bool表明判登录是否成功。
"""
await self.page.goto("http://i.njupt.edu.cn/")
await self.page.fill('input[name="username"]', username)
await self.page.fill('input[type="password"]', password)
await self.page.click('button[type="button"]')
await self.page.wait_for_load_state("networkidle")
if "user-login" in self.page.url:
logger.error(f"{username} | 登录失败,请检查学号和密码是否正确。")
return False
logger.info(f"{username} | 登录南邮统一身份认证成功。")
self.isLogin = True
return True
async def goto_zf(self) -> None:
sub_frame = self.page.frame_locator('iframe[name="iframe0"]')
async with self.context.expect_event("page") as new_page_event:
await sub_frame.locator('a[title="教务系统"]').click()
self.page = await new_page_event.value
return

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from dataclasses import dataclass
@dataclass
class Course:
"""Course 是对课程表中的 **某一节课** 的抽象。
Examples:
1-17周星期一1-2节数据结构是一个 Course 对象;
1-17周星期三3-4节数据结构是另一个 Course 对象;
1-17周中的单周星期四3-4节英语是一个 Course 对象;
1-17周中的双周星期四3-4节物理是另一个 Course 对象。
"""
name: str
weeks: list[int]
day: int
classes: list[int]
teacher: str | None
classroom: str | None
def course_dict_serializer(course: Course) -> dict[str, str | list[int] | int | None]:
return {
"name": course.name,
"weeks": course.weeks,
"day": course.day,
"classes": course.classes,
"teacher": course.teacher,
"classroom": course.classroom,
}
def course_list_serializer(course_list: list[Course]) -> list[dict]:
final_list = []
for course in course_list:
final_list.append(course_dict_serializer(course))
return final_list

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from ddddocr import DdddOcr
from playwright.async_api import Browser, BrowserContext, Page, Playwright
from njupt_api.baselib import PlayContextManager, logger
from njupt_api.zhengfang import Course
from njupt_api.zhengfang.createcourse import create_course_schedule
from njupt_api.zhengfang.sso import SSO
class ZhengFang(PlayContextManager):
def __init__(
self,
playwright: Playwright = None,
browser: Browser = None,
context: BrowserContext = None,
page: Page = None,
) -> None:
super().__init__(playwright, browser, context, page)
@classmethod
async def init_from_sso(cls, sso: SSO) -> "ZhengFang":
await sso.goto_zf()
logger.info("从 SSO 进入正方教务系统。")
return cls(sso.playwright, sso.browser, sso.context, sso.page)
async def login(self, username: str, password: str) -> bool:
"""
使用用户名和密码实现教务系统登录。
Returns:
bool表明登录是否成功。
"""
await self.page.goto("http://jwxt.njupt.edu.cn")
# 填充用户名和密码
await self.page.fill("input#txtUserName", username)
await self.page.fill("input#TextBox2", password)
# 处理验证码
captcha_img = self.page.locator("img#icode")
captcha_bytes = await captcha_img.screenshot()
ocr = DdddOcr(show_ad=False)
captcha_code = str(ocr.classification(captcha_bytes))
logger.debug(f"识别到的验证码为: {captcha_code}")
await self.page.fill("input#txtSecretCode", captcha_code)
async with self.page.expect_event("dialog", timeout=3000) as dialog_info:
await self.page.click("input#Button1")
dialog = await dialog_info.value
if dialog.message == "请到信息维护中完善个人联系方式":
await dialog.accept()
logger.info(f"{username} | 登录正方教务系统成功。")
self.isLogin = True
return True
if "验证码" in dialog.message:
await dialog.accept()
logger.warning(f"{username} | 验证码错误,自动重试...")
return await self.login(username, password)
await dialog.accept()
logger.error(f"{username} | 登录失败,教务系统提示信息为: {dialog.message}")
return False
async def get_class_schedule(self) -> list[Course]:
await self.page.locator("a.top_link:has-text('公用信息')").click()
await self.page.locator("a:has-text('班级课表查询')").click()
sub_frame = self.page.frame_locator("iframe[name='zhuti']")
logger.debug("获取班级课表。")
return create_course_schedule(
f"<table>{await sub_frame.locator('table#Table6').inner_html()}</table>",
)
async def get_student_schedule(self) -> list[Course]:
await self.page.locator("a.top_link:has-text('信息查询')").click()
await self.page.locator("a:has-text('学生个人课表')").click()
sub_frame = self.page.frame_locator("iframe[name='zhuti']")
logger.debug("获取个人课表。")
return create_course_schedule(
f"<table>{await sub_frame.locator('table#Table1').inner_html()}</table>",
)

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router/__init__.py Normal file
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from .__version__ import __version__

6
router/__version__.py Normal file
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from importlib.metadata import PackageNotFoundError, version
try:
__version__ = version("njupt-suan-api")
except PackageNotFoundError:
__version__ = "dev"

123
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from pathlib import Path
from typing import Annotated, Sequence
import aiofiles
from fastapi import APIRouter, Depends
from pydantic import BaseModel
from sqlmodel import Session, delete, select
from njupt_api.baselib import config, logger
from njupt_api.zhengfang import ZhengFang, course_list_serializer
from router.enhance.auth import verify_token
from router.enhance.lib import AliasDto, ReturnDto, TestDto, get_session
from router.enhance.model import Alias, Course
class ValidateTokenDto(BaseModel):
token: str
admin_router = APIRouter(prefix="/admin", tags=["admin"])
@admin_router.post("/validateToken")
async def validate_token(vtd: ValidateTokenDto) -> ReturnDto:
"""
验证 Token 是否正确,以此判断是否允许登录 WebUI。
验证时无需使用 HTTP Bearer直接作为 body 传入即可。
Returns:
ReturnDto以 success 字段表明是否有效。
"""
async with aiofiles.open(file=Path.cwd() / "data/token.txt", mode="r") as f:
if (await f.readline()).strip() == vtd.token:
return ReturnDto(success=True)
return ReturnDto(success=False)
@admin_router.post("/schedule/test", dependencies=[Depends(verify_token)])
async def post_schedule_test(test: TestDto, session: Annotated[Session, Depends(get_session)]) -> ReturnDto:
async with ZhengFang() as zf:
if await zf.login(test.username, test.password):
if test.scheduleType == "class":
final_course_list = course_list_serializer(
await zf.get_class_schedule(),
)
session.exec(delete(Course))
for course in final_course_list:
session.add(Course(**course))
session.commit()
logger.success(
f"{test.username} | 获取 {test.scheduleType} 课表成功,已保存到数据库。",
)
return ReturnDto(success=True, result=final_course_list)
if test.scheduleType == "student":
final_course_list = course_list_serializer(
await zf.get_student_schedule(),
)
logger.success(
f"{test.username} | 获取 {test.scheduleType} 课表成功。个人课表不保存。",
)
return ReturnDto(success=True, result=final_course_list)
logger.error(
f"{test.username} | scheduleType 参数错误。给定的 schedule={test.scheduleType}",
)
return ReturnDto(
success=False,
message="参数错误,请检查 scheduleType 参数。",
)
logger.error(
f"{test.username} | 获取课程表失败,请检查账号密码是否正确后再试。",
)
return ReturnDto(
success=False,
message="获取课程表失败,请检查账号密码是否正确后再试。",
)
@admin_router.get("/schedule/test", dependencies=[Depends(verify_token)])
async def get_schedule_test(session: Annotated[Session, Depends(get_session)]) -> ReturnDto:
course_dtos: Sequence[Course] = session.exec(select(Course)).all()
return ReturnDto(
success=True,
result=[course.model_dump() for course in course_dtos],
)
@admin_router.post("/schedule/alias", dependencies=[Depends(verify_token)])
async def post_schedule_alias(alias: AliasDto, session: Annotated[Session, Depends(get_session)]) -> ReturnDto:
for alia in session.exec(select(Alias)).all():
if alias.originalName == alia.originalName:
logger.error(
f"课程 {alia.originalName} 已经在数据库中存在,不允许重复添加。",
)
return ReturnDto(
success=False,
message=f"课程 {alia.originalName} 已经在数据库中存在,不允许重复添加。",
)
session.add(Alias(originalName=alias.originalName, aliasName=alias.aliasName))
session.commit()
logger.success(f"已添加课程别名 | {alias.originalName} => {alias.aliasName}")
return ReturnDto(success=True)
@admin_router.get("/schedule/alias", dependencies=[Depends(verify_token)])
async def get_schedule_alias(session: Annotated[Session, Depends(get_session)]) -> ReturnDto:
aliases: Sequence[Alias] = session.exec(select(Alias)).all()
return ReturnDto(success=True, result=[alias.model_dump() for alias in aliases])
@admin_router.post("/config", dependencies=[Depends(verify_token)])
async def post_config(data: dict) -> ReturnDto:
data_ = data.get("data")
logger.debug(f"接收到配置字典 - {data_}")
config.from_dict(data_)
await config.save_json()
return ReturnDto(success=True, result=config.to_dict())
@admin_router.get("/config", dependencies=[Depends(verify_token)])
async def get_config() -> ReturnDto:
return ReturnDto(success=True, result=config.to_dict())

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from pathlib import Path
from typing import Annotated
from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.responses import FileResponse
from sqlmodel import Session, select
from njupt_api.baselib import logger
from njupt_api.zhengfang import (
ZhengFang,
course_dict_serializer,
course_list_serializer,
)
from router.enhance.lib import ReturnDto, ScheduleQueryDto, apply_enhance, get_session
from router.enhance.model import Course
TEMP_DIR = Path.cwd() / "temp"
api_router = APIRouter(prefix="/api", tags=["API"])
@api_router.post("/schedule/class")
async def post_schedule_class(
student: ScheduleQueryDto,
session: Annotated[Session, Depends(get_session)],
) -> ReturnDto:
if student.username is None and student.password is None:
logger.debug("未提供学号和密码参数,尝试从数据库中返回一次性存储的班级课表。")
course_dtos = session.exec(select(Course)).all()
course_list: list[dict] = [course_dict_serializer(course) for course in course_dtos]
logger.success(f"{student.week=} 从数据库中返回一次性存储的班级课表。")
return await apply_enhance(course_list, student.week, student.img)
if student.username and student.password:
async with ZhengFang() as zf:
if await zf.login(student.username, student.password):
course_list = course_list_serializer(await zf.get_class_schedule())
logger.success(
f"{student.username} | {student.week=} 获取指定学生的班级课表成功。",
)
return await apply_enhance(course_list, student.week, student.img)
logger.error(
f"{student.username} | 获取课程表失败,请检查账号密码是否正确后再试。",
)
return ReturnDto(
success=False,
message="获取课程表失败,请检查账号密码是否正确后再试。",
)
else:
logger.error(
f"参数错误,请同时携带或同时不携带学号和密码参数: {student.username=} | {student.password=}",
)
return ReturnDto(
success=False,
message="参数错误,请同时携带或同时不携带学号和密码参数。",
)
@api_router.post("/schedule/student")
async def post_schedule_student(student: ScheduleQueryDto) -> ReturnDto:
if student.username is None or student.password is None:
logger.error("查询学生课表需要同时提供学号和密码参数。")
return ReturnDto(
success=False,
message="查询学生课表需要同时提供学号和密码参数。",
)
async with ZhengFang() as zf:
if await zf.login(student.username, student.password):
course_list = course_list_serializer(await zf.get_student_schedule())
logger.success(f"{student.username} | 获取学生个人课表成功。")
return await apply_enhance(course_list, student.week, student.img)
logger.error(
f"{student.username} | 获取课程表失败,请检查账号密码是否正确后再试。",
)
return ReturnDto(
success=False,
message="获取课程表失败,请检查账号密码是否正确后再试。",
)
@api_router.get("/schedule/img/{name}")
async def get_schedule_img(name: str) -> FileResponse:
"""
从 temp 工作目录中读取指定图片并返回。如果图片不存在则报 404。
Returns:
FileResponse: 图片。
Raises:
HTTPException: 404 - 查找的图片不存在。
"""
image_file = TEMP_DIR / name
logger.debug(f"尝试获取 {image_file!s}")
if image_file.exists():
return FileResponse(path=str(image_file), media_type="image/png")
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Name wrong or too late.",
)

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"""为课程提供一个简短的别名,便于在空间有限的课程表图片中辨认。
别名是单独保存的,在最终输出阶段才会被装饰在原有的课表输出上。
"""
from typing import Sequence
from sqlmodel import Session, select
from njupt_api.baselib import logger
from router.enhance.model import Alias, engine
def apply_alias(courses: list[dict]) -> list[dict]:
with Session(engine) as session:
aliases: Sequence[Alias] = session.exec(select(Alias)).all()
# 否则不做任何更改
if len(aliases) == 0:
return courses
alias_count = 0
apply_count = 0
alias_dict = {}
for alias in aliases:
m = alias.model_dump()
alias_dict[m["originalName"]] = m["aliasName"]
alias_count += 1
for course in courses:
if course["name"] in alias_dict:
course["alias"] = alias_dict[course["name"]]
apply_count += 1
else:
course["alias"] = None
logger.debug(
f"课程别名 | 将 {alias_count} 个别名应用在了 {apply_count} 门输出的课程上。",
)
return courses

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router/enhance/auth.py Normal file
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from pathlib import Path
from typing import Annotated
import aiofiles
from fastapi import Depends, HTTPException, status
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
security = HTTPBearer()
async def verify_token(credentials: Annotated[HTTPAuthorizationCredentials, Depends(security)]) -> str:
token = credentials.credentials
async with aiofiles.open(file=Path.cwd() / "data" / "token.txt", mode="r") as f:
if (await f.readline()).strip() == token:
return token
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Invalid or missing token. (Suan API WebUI)",
headers={"WWW-Authenticate": "Bearer"},
)

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from datetime import date, timedelta
from typing import Any, Generator, Literal
from pydantic import BaseModel
from sqlmodel import Session
from njupt_api.baselib import config
from .alias import apply_alias
from .model import engine
from .screenshot import generate_img
class ScheduleQueryDto(BaseModel):
username: str | None = None
password: str | None = None
week: int = 0
img: bool = False
class TestDto(BaseModel):
username: str
password: str
scheduleType: Literal["class", "student"] # noqa: N815
class AliasDto(BaseModel):
originalName: str # noqa: N815
aliasName: str | None # noqa: N815
class ReturnDto(BaseModel):
success: bool
message: str | None = None
result: Any | None = None
img_url: str | None = None
def get_session() -> Generator[Session, None, None]:
with Session(engine) as session:
yield session
async def apply_enhance(course_list: list[dict], week: int, img: bool) -> ReturnDto:
"""
在一个方法中集成了 应用别名 和 生成课表图片 功能。此为异步方法,需要 await。
Example:
return await apply_enhance(course_list, week, img)
Returns:
返回应用别名和图片完毕的 ReturnDto。
"""
final_course_list = [course for course in course_list if week in course["weeks"]] if week > 0 else course_list
final_course_list = apply_alias(final_course_list)
# 获取课表图片设置
title_template = config.get("schedule", "schedule_title_template", "芒果酸的课程表")
subtitle_template = config.get("schedule", "schedule_subtitle_template", "")
semester_start_date = date.fromisoformat(config.get("schedule", "semester_start_date", "2026-03-02"))
# 可用变量
week_start_day = semester_start_date + timedelta(weeks=week)
vars_ = {
"week": week,
"week_start_day": week_start_day.isoformat(),
"week_end_day": (week_start_day + timedelta(days=6)).isoformat(),
}
img_url = None
if img:
img_url = f"http://172.28.143.24:8000/api/schedule/img/{
await generate_img(final_course_list, title_template.format(**vars_), subtitle_template.format(**vars_))
}"
return ReturnDto(success=True, result=final_course_list, img_url=img_url)

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from typing import Optional
from sqlalchemy import JSON, Column
from sqlmodel import Field, SQLModel, create_engine
sqlite_file_name = "data/njupt_api.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"
engine = create_engine(sqlite_url, connect_args={"check_same_thread": False})
class Course(SQLModel, table=True):
id: Optional[int] = Field(default=None, primary_key=True)
name: str
teacher: Optional[str] = Field(default=None, nullable=True)
classroom: Optional[str] = Field(default=None, nullable=True)
weeks: list[int] = Field(default=[], sa_column=Column(JSON))
day: int
classes: list[int] = Field(default=[], sa_column=Column(JSON))
class Alias(SQLModel, table=True):
id: Optional[int] = Field(default=None, primary_key=True)
originalName: Optional[str] = Field(default=None, nullable=True) # noqa: N815
aliasName: Optional[str] = Field(default=None, nullable=True) # noqa: N815
def create_db_and_tables() -> None:
SQLModel.metadata.create_all(engine)

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"""使用 Playwright 截图"""
from json import dumps
from pathlib import Path
from urllib.parse import urlencode
from uuid import uuid4
from playwright.async_api import ViewportSize
from njupt_api.baselib import PlayContextManager, logger
TEMP_DIR = Path.cwd() / "temp"
class ScreenShot(PlayContextManager):
def __init__(self) -> None:
super().__init__()
async def goto(self, url: str) -> bool:
await self.page.set_viewport_size(ViewportSize(width=1200, height=900))
res = await self.page.goto(url)
logger.debug(f"截图 | {res.ok=} - {url=:.{50}}...")
return res.ok
async def shot(self, save_path: str) -> None:
await self.page.mouse.move(0, 0)
await self.page.wait_for_load_state("networkidle")
await self.page.screenshot(path=save_path)
logger.debug(f"截图 | 截图已经保存在 {save_path=}")
return
async def generate_img(courses: list[dict], title: str, subtitle: str) -> str:
"""
方法将生成课程表图片并保存在临时目录中,返回图片的完整名称。图片位于 temp 工作目录。
Returns:
字符串,表明生成图片的文件名,格式为 `schedule-{uuid4()}.png`
"""
t_name = f"schedule-{uuid4()}.png"
async with ScreenShot() as ss:
await ss.goto(
f"127.0.0.1:8000/webui/schedule#/?{
urlencode({'data': dumps(courses), 'title': title, 'subtitle': subtitle})
}",
)
await ss.shot(str(TEMP_DIR / t_name))
logger.debug(f"截图 | 生成临时图片 - {t_name}")
return t_name

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"""学期-星期计算"""
from datetime import date, timedelta
def get_semester_week_info(start: date, target: date) -> tuple[int, int]:
"""
给定学期开始日期(第一周周一)和另一指定日期,计算指定的日期是第几周的星期几。
Args:
start: 学期开始的日期date
target: 指定日期date
Returns:
包含两个数字的元组,分别为第几周和星期几。
"""
return (target - start).days // 7 + 1, target.isoweekday()
def get_week_day_info(target: date) -> tuple[date, date]:
"""
给定一个指定日期,获取该日所在的星期的周一和周日的日期。
Args:
target: 指定日期date
Returns:
包含两个 date 的元组,分别为周一和周日。
"""
weekday_int = target.weekday()
return target - timedelta(days=weekday_int), target + timedelta(days=6 - weekday_int)

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from pathlib import Path
from typing import Annotated
from fastmcp import FastMCP
from fastmcp.utilities.types import Image
from mcp.types import ToolAnnotations
from pydantic import Field
from sqlmodel import Session, select
from njupt_api.baselib import LoggingMiddleware, logger
from njupt_api.zhengfang import (
ZhengFang,
course_dict_serializer,
course_list_serializer,
)
from router.enhance.lib import ReturnDto, apply_enhance
from router.enhance.model import Course, engine
mcp = FastMCP("NJUPT API Suan")
mcp.add_middleware(LoggingMiddleware())
mcp_app = mcp.http_app("/")
# 统一参数文档
USERNAME_TYPE = Annotated[str, Field(description="用户名,也即学号,一般是一位字母接八位数字,字母需要大写。")]
PASSWORD_TYPE = Annotated[str, Field(description="密码,字符串。")]
WEEK_TYPE = Annotated[int, Field(description="获取第几周的课表,默认为 0 即获取全部。")]
IMG_TYPE = Annotated[
bool,
Field(
description="是否需要同时生成图片,默认为 False。如果为 True图片链接将在 img_url 中提供,链接有效时间为两小时。", # noqa: E501
),
]
@mcp.tool(
name="tool_schedule_class",
title="获取默认班级课表",
description="获取存储在酸 API 中的默认班级课表,返回值包含 success result message 和 img_url 四个字段。",
annotations=ToolAnnotations(
title="获取默认课表",
readOnlyHint=True,
destructiveHint=False,
idempotentHint=True,
openWorldHint=False,
),
)
async def tool_schedule_class(
week: WEEK_TYPE = 0,
img: IMG_TYPE = False,
) -> ReturnDto:
with Session(engine) as session:
course_dtos = session.exec(select(Course)).all()
logger.success("从数据库中返回一次性存储的班级课表。")
course_list: list[dict] = [course_dict_serializer(course) for course in course_dtos]
return await apply_enhance(course_list, week, img)
@mcp.tool(
name="tool_schedule_class_special",
title="获取指定学生的班级课表",
description="获取指定学生的班级课表。需要提供学号和密码。返回值包含 success result message 和 img_url 四个字段。",
annotations=ToolAnnotations(
title="获取指定学生的班级课表",
readOnlyHint=True,
destructiveHint=False,
idempotentHint=True,
openWorldHint=False,
),
)
async def tool_schedule_class_special(
username: USERNAME_TYPE,
password: PASSWORD_TYPE,
week: WEEK_TYPE = 0,
img: IMG_TYPE = False,
) -> ReturnDto:
async with ZhengFang() as zf:
if await zf.login(username, password):
final_course_list = course_list_serializer(await zf.get_class_schedule())
logger.success(f"{username} | 获取指定学生的班级课表成功。")
return await apply_enhance(final_course_list, week, img)
logger.error(f"{username} | 获取课程表失败,请检查账号密码是否正确后再试。")
return ReturnDto(
success=False,
message="获取课程表失败,请检查账号密码是否正确后再试。",
)
@mcp.tool(
name="tool_schedule_student_special",
title="获取指定学生的个人课表",
description="获取指定学生的个人课表。需要提供学号和密码。返回值包含 success result message 和 img_url 四个字段。",
annotations=ToolAnnotations(
title="获取指定学生的个人课表",
readOnlyHint=True,
destructiveHint=False,
idempotentHint=True,
openWorldHint=False,
),
)
async def tool_schedule_student_special(
username: USERNAME_TYPE,
password: PASSWORD_TYPE,
week: WEEK_TYPE = 0,
img: IMG_TYPE = False,
) -> ReturnDto:
async with ZhengFang() as zf:
if await zf.login(username, password):
final_course_list = course_list_serializer(await zf.get_student_schedule())
logger.success(f"{username} | 获取指定学生的个人课表成功。")
return await apply_enhance(final_course_list, week, img)
logger.error(f"{username} | 获取课程表失败,请检查账号密码是否正确后再试。")
return ReturnDto(
success=False,
message="获取课程表失败,请检查账号密码是否正确后再试。",
)
@mcp.tool(
name="tool_schedule_image",
title="直接获取课表图片",
description="接收使用其他课表工具得到的图片的文件名,返回 ImageContent。",
annotations=ToolAnnotations(
title="直接获取课表图片",
readOnlyHint=True,
destructiveHint=False,
idempotentHint=True,
openWorldHint=False,
),
)
async def tool_schedule_image(
img_name: Annotated[str, Field(description="课表图片的文件名,形如 schedule-{uuid4}.png")],
) -> Image | ReturnDto:
img_path = Path.cwd() / "temp" / img_name
if img_path.exists():
return Image(path=img_path)
return ReturnDto(success=False, message=f"未找到指定的课表图片 {img_name}")

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router/webui_router.py Normal file
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from pathlib import Path
import aiofiles
from fastapi import APIRouter
from fastapi.responses import HTMLResponse
WEBUI_INDEX = Path.cwd() / "webui" / "dist" / "index.html"
SCHEDULE_INDEX = Path.cwd() / "webui" / "dist" / "index-schedule.html"
webui_router = APIRouter(prefix="/webui")
@webui_router.get("/", response_class=HTMLResponse)
async def get_webui() -> HTMLResponse:
async with aiofiles.open(file=WEBUI_INDEX, mode="r", encoding="utf-8") as f:
return HTMLResponse(content=await f.read(), status_code=200)
@webui_router.get("/schedule", response_class=HTMLResponse)
async def get_webui_schedule() -> HTMLResponse:
async with aiofiles.open(file=SCHEDULE_INDEX, mode="r", encoding="utf-8") as f:
return HTMLResponse(content=await f.read(), status_code=200)

208
server.py Normal file
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import asyncio
import time
import traceback
from contextlib import asynccontextmanager, suppress
from pathlib import Path
from typing import AsyncGenerator, Callable
from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
from fastmcp.utilities.lifespan import combine_lifespans
from watchfiles import awatch
from njupt_api.baselib import (
LogRecord,
config,
log_buffer,
log_record_serialize,
logger,
)
from njupt_api.zhengfang.zhengfang import ZhengFang
from router import __version__
from router.admin_router import admin_router
from router.api_router import api_router
from router.enhance.lib import ReturnDto
from router.enhance.model import create_db_and_tables
from router.mcp_router import mcp_app
from router.webui_router import webui_router
DATA_DIR = Path.cwd() / "data"
async def toml_watcher() -> None:
"""配置文件监听器"""
await config.load_json()
async for change in awatch(DATA_DIR / "config.json"):
logger.info(f"配置文件更新,重新加载 | {change=}")
await config.load_json()
@asynccontextmanager
async def life_span(_: FastAPI) -> AsyncGenerator[None, None]:
logger.info("初始化 SQLite 数据库中...")
create_db_and_tables()
logger.info("启动配置文件监听任务...")
watcher_task = asyncio.create_task(toml_watcher(), name="toml_watcher")
logger.success("🌟 NJUPT API Suan 已经启动。")
try:
yield
finally:
logger.info("🌙 NJUPT API Suan 正在关闭。")
watcher_task.cancel()
logger.info("配置文件监听任务已结束。")
@asynccontextmanager
async def jwxt(username: str, password: str) -> AsyncGenerator[ZhengFang, None]:
zf = ZhengFang()
await zf.start()
await zf.login(username, password)
yield zf
await zf.close()
return
app = FastAPI(lifespan=combine_lifespans(life_span, mcp_app.lifespan))
@app.middleware("http")
async def log_requests(request: Request, call_next: Callable) -> None:
# 忽略对路径 /mcp 好 /mcp/ 的日志记录
if request.url.path == "/mcp" or request.url.path == "/mcp/":
return await call_next(request)
# 如有需要,忽略对路径 /assets/ 的日志记录
if not config.get("log", "log_assets_request", False) and request.url.path.startswith("/assets/"):
return await call_next(request)
# 请求开始时间
start_time = time.time()
# 获取请求信息
client_host = request.client.host if request.client else "unknown"
method = request.method
path = request.url.path
# 记录请求开始
logger.debug(f"访问 [{client_host}] {method} {path}")
if config.get("log", "log_api_request_details", False):
logger.debug(f" - {request.headers=}")
logger.debug(f" - {request.path_params=}")
logger.debug(f" - {request.query_params=}")
logger.debug(f" - request.body={await request.body()}")
# 处理请求
try:
response = await call_next(request)
# 计算耗时
process_time = (time.time() - start_time) * 1000
# 记录响应
if response.status_code < 400:
logger.info(
f"成功 [{client_host}] {method} {path} | Status: {response.status_code} | Time: {process_time:.2f}ms",
)
if config.get("log", "log_api_request_details", False):
logger.debug(f" - {response}")
else:
logger.warning(
f"警告 [{client_host}] {method} {path} | Status: {response.status_code} | Time: {process_time:.2f}ms",
)
# 可以添加响应头(可选)
response.headers["X-Process-Time"] = str(process_time)
return response
except Exception as exc:
process_time = (time.time() - start_time) * 1000
logger.error(
f"错误 [{client_host}] {method} {path} | Error: {exc} | Time: {process_time:.2f}ms",
)
raise
@app.websocket("/ws/logs")
async def ws_logs(websocket: WebSocket) -> None:
"""向 WebUI 传递 Suan API 日志""" # noqa: DOC501
await websocket.accept()
logger.debug("日志 websocket 建立连接,日志将被推送到 WebUI。")
last_sent_id = 0
try:
while True:
new_logs = [log for log in log_buffer if log.id >= last_sent_id]
if new_logs:
try:
await asyncio.wait_for(
websocket.send_json(
{
"logs": [log_record_serialize(log) for log in new_logs], # 新日志
"latest_id": LogRecord.log_counter,
},
),
timeout=2.0,
)
except asyncio.TimeoutError:
logger.debug("日志 websocket 发送超时,已自动退出。")
break
last_sent_id = LogRecord.log_counter
try:
await asyncio.sleep(0.5)
except asyncio.CancelledError:
raise
except WebSocketDisconnect:
logger.debug("日志 websocket 断开连接。")
except asyncio.CancelledError:
logger.debug("日志 websocket 任务取消。")
except Exception as exc:
logger.error(f"向 WebUI 传递日志时遇到异常 : {exc}")
finally:
with suppress(Exception):
await websocket.close()
@app.get("/version")
async def get_version() -> ReturnDto:
ver = {"version": __version__}
return ReturnDto(success=True, result=ver)
app.include_router(api_router)
app.include_router(admin_router)
app.include_router(webui_router)
app.mount("/mcp", mcp_app)
app.mount(
"/assets",
StaticFiles(directory=Path.cwd() / "webui" / "dist" / "assets"),
name="assets",
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
expose_headers=["mcp-session-id"], # 关键:必须显式暴露此 Header
)
@app.exception_handler(Exception)
def general_exception_handler(_: Request, exc: Exception) -> JSONResponse:
# 记录错误堆栈
logger.error(
f"未捕获的异常!这可能表示某些路由、端点已经不可用!\n{exc!s}\n{traceback.format_exc()}",
)
return JSONResponse(
status_code=500,
content={
"code": 500,
"message": "服务器内部错误",
"data": None, # 生产环境不要暴露详细错误信息
},
)