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Azure
2026-09-03 14:31:25 +08:00
parent 30dd0bea14
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.env.example Normal file
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# 应用基础配置
APP_NAME='Lottery Server'
APP_DESCRIPTION='一个自己看的彩票信息服务'
ENVIRONMENT=local
# 服务器配置
HOST=0.0.0.0
PORT=8000
# 数据库MYSQL配置
MYSQL_USER="root"
MYSQL_PASSWORD="123456"
MYSQL_HOST="127.0.0.1"
MYSQL_PORT=3306
MYSQL_DB="lottery_server"
DATABASE_POOL_SIZE=10
DATABASE_MAX_OVERFLOW=20
DATABASE_ECHO=False
# CORS配置
ALLOWED_ORIGINS=["*"]
# 限流配置
RATE_LIMIT_PER_MINUTE=60
RATE_LIMIT_PER_DAY=10000
# 文件上传配置
MAX_UPLOAD_SIZE_MB=10
ALLOWED_UPLOAD_EXTENSIONS='[".jpg", ".jpeg", ".png", ".pdf", ".docx"]'
UPLOAD_DIR=./uploads
# 缓存配置
CACHE_TTL_SECONDS=300

181
.gitignore vendored
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# ---> Python
# Byte-compiled / optimized / DLL files
# Python 字节缓存
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
@@ -20,157 +16,54 @@ lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
# uv 虚拟环境（uv 默认 .venv）
.venv/
venv/
ENV/
env/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# uv 缓存（不需要提交）
.uv/
# Rope project settings
.ropeproject
# 编辑器、IDE
.idea/
.vscode/
*.swp
*.swo
*~
.DS_Store
Thumbs.db
# mkdocs documentation
/site
# 日志
*.log
logs/
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# 环境变量文件
.env
.env.local
.env.prod
# Pyre type checker
.pyre/
# 数据库文件
*.sqlite
*.sqlite3
*.db
# pytype static type analyzer
.pytype/
# 临时文件
tmp/
temp/
*.tmp
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
# Ruff stuff:
.ruff_cache/
# PyPI configuration file
.pypirc
# 测试覆盖率
.coverage
htmlcov/
.pytest_cache/
# 打包产物
*.tar.gz
*.whl

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api/__init__.py Normal file
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api/lottery_api.py Normal file
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from fastapi import APIRouter
from pydantic import BaseModel, ConfigDict
from core.db import SessionDep
from core.dto.api_response import ApiResponse
# 彩票相关的路由
lottery_router = APIRouter(prefix="/lottery", tags=["lottery"])
class DltQuery(BaseModel):
""" 接口入参 """
page: int
page_size: int
model_config = ConfigDict(
extra="forbid", # forbid:禁止多余字段; ignore:忽略; allow:允许
frozen=False, # frozen=True 对象不可修改（冻结）
)
# 大乐透相关的
@lottery_router.get("/dlt")
async def get_list(db: SessionDep,page: int, page_size: int) -> ApiResponse:
# db.get()
return ApiResponse(code=200, message="成功")

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from fastapi import APIRouter, HTTPException
from typing import Any, Dict
from core.db import SessionDep
from core.dto.api_response import ApiResponse
from core.task.dlt_scheduler import scheduler
# 彩票相关的路由
scheduler_router = APIRouter(prefix="/scheduler", tags=["大乐透调度器管理"])
@scheduler_router.get("/status")
async def get_scheduler_status() -> Dict[str, Any]:
"""获取调度器状态"""
lists = []
for job in scheduler.get_jobs():
lists.append({
"id": job.id,
"name": job.name,
"next_run_time": job.next_run_time
})
return {
"running": scheduler.scheduler.running,
"jobs": lists
}
@scheduler_router.post("/run")
async def run_job_now() -> Dict[str, Any]:
"""立即执行定时任务"""
try:
success, message = await scheduler.run_job_now()
return {
"success": success,
"message": message
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@scheduler_router.post("/pause")
async def pause_scheduler() -> Dict[str, Any]:
"""暂停调度器"""
if scheduler.pause():
return {
"success": True,
"message": "调度器已停止"
}
return {
"success": False,
"message": "调度器停止失败"
}
@scheduler_router.post("/resume")
async def resume_scheduler() -> Dict[str, Any]:
"""暂停调度器"""
if scheduler.resume():
return {
"success": True,
"message": "调度器已恢复运行"
}
return {
"success": False,
"message": "调度器恢复运行失败"
}
@scheduler_router.get("/jobs")
async def list_jobs() -> Dict[str, Any]:
"""列出所有定时任务"""
lists = []
for job in scheduler.get_jobs():
lists.append({
"id": job.id,
"name": job.name,
"next_run_time": job.next_run_time
})
return {
"jobs": lists
}

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core/__init__.py Normal file
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core/config/__init__.py Normal file
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core/config/settings.py Normal file
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from typing import List
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
from enum import Enum
class Environment(str, Enum):
"""环境枚举"""
LOCAL = "local"
DEVELOPMENT = "dev"
STAGING = "staging"
PRODUCTION = "prod"
class LogLevel(str, Enum):
"""日志级别枚举"""
DEBUG = "DEBUG"
INFO = "INFO"
WARNING = "WARNING"
ERROR = "ERROR"
CRITICAL = "CRITICAL"
class Settings(BaseSettings):
"""
应用配置类
自动从 .env 文件和环境变量中读取配置
"""
# ---------- 基础配置 ----------
APP_NAME: str = Field(
default="Lottery Server",
description="应用名称"
)
APP_DESCRIPTION: str = Field(
default="一个自己看的彩票信息服务",
description="应用描述"
)
ENVIRONMENT: Environment = Field(
default=Environment.LOCAL,
description="运行环境"
)
# ---------- 服务器配置 ----------
HOST: str = Field(
default="0.0.0.0",
description="服务监听地址"
)
PORT: int = Field(
default=8000,
ge=1,
le=65535,
description="服务监听端口"
)
# ---------- 数据库MYSQL配置 ----------
MYSQL_USER: str = Field(
default='root',
description="MySQL用户名"
)
MYSQL_PASSWORD: str = Field(
default='Azure1314',
description="MySQL密码"
)
MYSQL_HOST: str = Field(
default='127.0.0.1',
description="MySQL主机地址"
)
MYSQL_PORT: int = Field(
default=3306,
ge=1,
le=65535,
description="MySQL端口"
)
MYSQL_DB: str = Field(
default='lottery_server',
description="MySQL数据库名"
)
DATABASE_POOL_SIZE: int = Field(
default=10,
ge=1,
le=100,
description="数据库连接池大小"
)
DATABASE_MAX_OVERFLOW: int = Field(
default=20,
description="连接池最大溢出连接数"
)
DATABASE_ECHO: bool = Field(
default=False,
description="是否打印SQL语句"
)
# ---------- CORS配置 ----------
ALLOWED_ORIGINS: List[str] = Field(
default=["*"],
description="允许的CORS源"
)
ALLOWED_METHODS: List[str] = Field(
default=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
description="允许的HTTP方法"
)
ALLOWED_HEADERS: List[str] = Field(
default=["*"],
description="允许的HTTP头"
)
# ---------- 限流配置 ----------
RATE_LIMIT_PER_MINUTE: int = Field(
default=60,
ge=1,
description="每分钟请求限制"
)
RATE_LIMIT_PER_DAY: int = Field(
default=10000,
ge=1,
description="每天请求限制"
)
# ---------- 文件上传配置 ----------
MAX_UPLOAD_SIZE_MB: int = Field(
default=10,
ge=1,
le=100,
description="最大上传文件大小（MB）"
)
ALLOWED_UPLOAD_EXTENSIONS: List[str] = Field(
default=[".jpg", ".jpeg", ".png", ".pdf", ".docx"],
description="允许上传的文件扩展名"
)
UPLOAD_DIR: str = Field(
default="./uploads",
description="文件上传目录"
)
# ---------- 缓存配置 ----------
CACHE_TTL_SECONDS: int = Field(
default=300,
ge=1,
description="缓存过期时间（秒）"
)
# ---------- 计算属性 ----------
@property
def mysql_url(self) -> str:
"""MySQL连接URL"""
# 连接url格式：mysql+pymysql://user:password@host:port/dbname
return f"mysql+pymysql://{self.MYSQL_USER}:{self.MYSQL_PASSWORD}@{self.MYSQL_HOST}:{self.MYSQL_PORT}/{self.MYSQL_DB}?charset=utf8mb4"
@property
def is_production(self) -> bool:
"""是否为生产环境"""
return self.ENVIRONMENT == Environment.PRODUCTION
@property
def is_development(self) -> bool:
"""是否为开发环境"""
return self.ENVIRONMENT in [Environment.LOCAL, Environment.DEVELOPMENT]
# ---------- 配置加载设置 ----------
model_config = SettingsConfigDict(
env_file=".env.local", # .env文件路径
env_file_encoding="utf-8", # 文件编码
case_sensitive=True, # 环境变量名大小写敏感
extra="ignore", # 忽略未定义的额外字段
validate_default=True, # 验证默认值
# secrets_dir="/run/secrets", # Docker secrets支持（可选）
)
# 创建全局单例配置实例
settings = Settings()
# 导出配置实例
__all__ = ["settings", "Environment", "LogLevel"]

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from fastapi import Depends
from typing import Annotated
from sqlmodel import Session, create_engine
from core.config.settings import settings
from sqlalchemy.orm import sessionmaker
# 1.引擎配置
engine = create_engine(
settings.mysql_url, # 数据库连接url
echo=settings.DATABASE_ECHO, # echo=True 打印生成的SQL语句，开发调试打开，生产关闭
pool_recycle = 3600, # 1小时回收连接，解决mysql 8小时断开问题
pool_pre_ping=True, # 连接前检查
pool_size=settings.DATABASE_POOL_SIZE, # 连接池大小
max_overflow=settings.DATABASE_MAX_OVERFLOW, # 最大溢出连接
)
# 2. 创建 sessionmaker（工厂）
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
# 3.依赖注入函数
def get_db():
"""FastAPI 依赖注入用"""
db = SessionLocal() # 使用工厂创建 Session
try:
yield db
db.commit() # 无异常则提交
except Exception:
db.rollback() # 异常则回滚
raise
finally:
db.close() # 确保关闭
# 4. 定义依赖类型
SessionDep = Annotated[Session, Depends(get_db)]
# 5. 供定时任务使用的上下文管理器
from contextlib import contextmanager
@contextmanager
def get_db_session():
"""定时任务、脚本用"""
db = SessionLocal()
try:
yield db
db.commit()
except Exception:
db.rollback()
raise
finally:
db.close()
# 使用方式
# def crawl_task():
# data = fetch_lottery_data()
#
# with get_db_session() as db:
# # 检查是否存在
# existing = db.query(LotteryResult).filter_by(draw_no=data['draw_no']).first()
# if not existing:
# record = LotteryResult(**data)
# db.add(record)
# # with 块结束时自动 commit

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core/dto/__init__.py Normal file
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from typing import TypeVar, Generic
from pydantic import BaseModel
# 声明一个泛型类型变量
T = TypeVar("T")
# 泛型响应体
class ApiResponse(BaseModel, Generic[T]):
code: int
message: str
data: T | None = None # data可以为空

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core/task/dlt_scheduler.py Normal file
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import logging
import sys
from pathlib import Path
from datetime import datetime
from typing import List
from apscheduler.job import Job
from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.schedulers.base import STATE_PAUSED, STATE_STOPPED, STATE_RUNNING
from apscheduler.triggers.cron import CronTrigger
from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR
# 添加项目根目录到路径
sys.path.append(str(Path(__file__).parent.parent.parent))
from core.task.dlt_spider import DLTSpider
# 配置日志
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('lottery_scheduler.log', encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
def test_fun():
logger.info(f"当前时间---{datetime.now()}")
class LotteryScheduler:
"""彩票定时任务调度器"""
def __init__(self):
self.scheduler = BackgroundScheduler()
self.spider = DLTSpider()
self._setup_job_listeners()
def _setup_job_listeners(self):
"""设置任务监听器"""
def job_listener(event):
if event.exception:
logger.error(f"任务执行失败: {event.job_id}, 错误: {event.exception}")
else:
logger.info(f"任务执行成功: {event.job_id}")
self.scheduler.add_listener(job_listener, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR)
def fetch_latest_job(self):
"""获取最新数据的定时任务"""
logger.info(f"开始执行定时任务: 获取最新大乐透数据")
try:
self.spider.fetch_latest()
logger.info("定时任务执行完成")
except Exception as e:
logger.error(f"定时任务执行异常: {e}", exc_info=True)
def add_job(self, *args, **kwargs):
"""添加任务"""
job = self.scheduler.add_job(*args, **kwargs)
logger.info(f"任务已添加: {job.id}, 下次执行: {job.next_run_time}")
return job
def remove_job(self, job_id: str):
"""移除任务"""
try:
self.scheduler.remove_job(job_id)
logger.info(f"任务已移除: {job_id}")
return True
except Exception as e:
logger.error(f"移除任务失败: {e}")
return False
def start(self):
"""启动或恢复调度器"""
if self.scheduler.state == STATE_RUNNING:
logger.info("调度器已在运行")
return
# 暂停状态：直接恢复
if self.scheduler.state == STATE_PAUSED:
self.scheduler.resume()
logger.info("调度器已恢复运行")
return
# 首次启动：注册任务
self.scheduler.add_job(
self.fetch_latest_job,
trigger=CronTrigger(hour=21, minute=30),
id='fetch_latest_dlt',
name='获取最新大乐透数据',
replace_existing=True
)
# 启动时立即执行一次（可选）
# self.scheduler.add_job(
# self.fetch_latest_job,
# trigger='date',
# run_date=datetime.now(),
# id='startup_fetch',
# name='启动时获取最新数据'
# )
self.scheduler.start()
logger.info("定时调度器已启动，将在每晚 21:30 执行")
# 打印所有任务
self.print_jobs()
def pause(self) -> bool:
"""暂停调度器"""
if self.scheduler.state == STATE_RUNNING:
self.scheduler.pause()
logger.info("定时调度器已暂停")
return True
else:
logger.info("调度器未在运行")
return False
def resume(self) -> bool:
"""恢复调度器"""
if self.scheduler.state == STATE_PAUSED:
self.scheduler.resume()
logger.info("定时调度器已恢复运行")
return True
else:
logger.info("定时调度器已未在运行状态")
return False
def shutdown(self):
"""彻底关闭调度器（应用退出时调用）"""
if self.scheduler.state != STATE_STOPPED:
self.scheduler.shutdown(wait=False)
logger.info("定时调度器已关闭")
def print_jobs(self):
"""打印所有定时任务"""
jobs = self.scheduler.get_jobs()
if jobs:
logger.info("当前定时任务:")
for job in jobs:
logger.info(f" - {job.id}: {job.name}, 下次执行: {job.next_run_time}")
else:
logger.info("当前没有定时任务")
def get_jobs(self) -> List[Job]:
"""获取所有定时任务"""
jobs = self.scheduler.get_jobs()
if jobs:
return jobs
else:
return []
# 创建全局调度器实例
scheduler = LotteryScheduler()
def start_scheduler():
"""启动调度器的入口函数"""
scheduler.start()
return scheduler
if __name__ == "__main__":
# 测试运行
scheduler = LotteryScheduler()
# 启动调度器
scheduler.start()
# 保持运行
try:
import time
while True:
time.sleep(60)
except KeyboardInterrupt:
logger.info("收到停止信号，正在关闭调度器...")
scheduler.shutdown()

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import logging
from dataclasses import dataclass
from datetime import datetime
from typing import Any, List, Dict, Union, Optional, NamedTuple
import time
import requests
from pydantic import BaseModel, field_validator
from sqlalchemy import desc
from core.db import get_db_session
from models import LotteryDLT
logger = logging.getLogger(__name__)
def parse_draw_numbers(result_str: str) -> List[str]:
"""解析开奖号码，支持空格或逗号分隔"""
if not result_str or not isinstance(result_str, str):
return []
# 先尝试用空格分割
if ' ' in result_str:
numbers = result_str.strip().split()
elif ',' in result_str:
numbers = [num.strip() for num in result_str.split(',')]
else:
# 如果没有分隔符，尝试按每2个字符分割（如 "0208172933"）
numbers = [result_str[i:i + 2] for i in range(0, len(result_str), 2)]
# 过滤掉空字符串并确保是2位数字
numbers = [num.zfill(2) for num in numbers if num]
return numbers
def get_safe_idx(arr: List[str], idx: int, default: str = "0") -> str:
"""安全获取列表元素"""
try:
if arr and idx < len(arr):
return arr[idx].zfill(2)
return default.zfill(2)
except (IndexError, TypeError):
return default.zfill(2)
def normalize_unsort_result(un_result: Any, sort_result_str: str, issue: str) -> str:
"""
标准化 lotteryUnsortDrawresult 字段
Args:
un_result: 原始 unsort 值
sort_result_str: 排序后的结果
issue: 期号（用于日志）
Returns:
标准化后的字符串
"""
# 处理各种情况
if isinstance(un_result, str):
if un_result == "current" or un_result == "":
logger.debug(f"期号 {issue}: unsort 为 '{un_result}'，使用 lotteryDrawResult")
return sort_result_str
return un_result
if isinstance(un_result, dict):
# 字典类型（包括空字典）
logger.debug(f"期号 {issue}: lotteryUnsortDrawresult 是字典，使用 lotteryDrawResult")
return sort_result_str
if un_result is None:
return sort_result_str
# 其他类型，尝试转换为字符串
try:
return str(un_result)
except:
logger.warning(f"期号 {issue}: 无法转换 unsort 结果，使用 lotteryDrawResult")
return sort_result_str
def result_handle(data: dict) -> Optional[LotteryDLT]:
"""将爬取的数据格式化为当前服务的数据格式"""
try:
# 获取基本字段
issue = data.get('lotteryDrawNum')
if not issue:
logger.warning("跳过无效数据: 缺少 lotteryDrawNum")
return None
# 获取排序结果（必须存在）
sort_result_str = data.get('lotteryDrawResult', '')
if not sort_result_str or not isinstance(sort_result_str, str):
logger.warning(f"跳过期号 {issue}: lotteryDrawResult 无效")
return None
# 标准化 unsort 结果
un_result = normalize_unsort_result(
data.get('lotteryUnsortDrawresult'),
sort_result_str,
str(issue)
)
# 解析号码
un_sort_result = parse_draw_numbers(un_result)
sort_result = parse_draw_numbers(sort_result_str)
# 验证解析结果
if len(sort_result) < 7:
logger.warning(f"期号 {issue}: 排序号码解析失败，原始数据: {sort_result_str}")
return None
if len(un_sort_result) < 7:
logger.debug(f"期号 {issue}: 未排序号码解析失败，使用排序结果")
un_sort_result = sort_result
# 解析时间
dt_str = data.get('lotteryDrawTime')
if not dt_str or not isinstance(dt_str, str):
logger.warning(f"期号 {issue}: 无效的时间格式")
return None
try:
dt = datetime.fromisoformat(dt_str.replace(' ', 'T'))
except ValueError:
# 尝试其他格式
dt = datetime.strptime(dt_str, "%Y-%m-%d %H:%M:%S")
record = LotteryDLT(
issue=str(issue),
game_name=str(data.get('lotteryGameName', '超级大乐透')),
draw_date=dt.date(),
draw_time=dt,
front_sort_1=get_safe_idx(sort_result, 0),
front_sort_2=get_safe_idx(sort_result, 1),
front_sort_3=get_safe_idx(sort_result, 2),
front_sort_4=get_safe_idx(sort_result, 3),
front_sort_5=get_safe_idx(sort_result, 4),
back_sort_1=get_safe_idx(sort_result, 5),
back_sort_2=get_safe_idx(sort_result, 6),
front_1=get_safe_idx(un_sort_result, 0),
front_2=get_safe_idx(un_sort_result, 1),
front_3=get_safe_idx(un_sort_result, 2),
front_4=get_safe_idx(un_sort_result, 3),
front_5=get_safe_idx(un_sort_result, 4),
back_1=get_safe_idx(un_sort_result, 5),
back_2=get_safe_idx(un_sort_result, 6)
)
return record
except Exception as e:
logger.error(f"处理期号 {data.get('lotteryDrawNum', '未知')} 失败: {e}")
return None
@dataclass
class ResultCount:
"""成功失败数据类"""
success_count: int
fail_count: int
class DLTSpider:
"""大乐透爬虫"""
def __init__(self):
self.headers = {
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36",
"Referer": "https://www.sporttery.cn/"
}
self.session = requests.Session()
self.session.headers.update(self.headers)
def _fetch_data(self, url: str) -> Optional[dict]:
"""通用的数据获取方法"""
try:
response = self.session.get(url, timeout=15)
response.raise_for_status()
return response.json()
except requests.exceptions.RequestException as e:
logger.error(f"请求失败: {url}, 错误: {e}")
return None
def _save_record(self, db, record: LotteryDLT) -> bool:
"""保存单条记录到数据库"""
try:
existing = db.query(LotteryDLT).filter(
LotteryDLT.issue == record.issue
).first()
if existing:
logger.debug(f"期号 {record.issue} 已存在，跳过")
return False
db.add(record)
return True
except Exception as e:
logger.error(f"保存期号 {record.issue} 失败: {e}")
return False
def fetch_latest(self):
"""获取最新一期大乐透数据"""
url = "https://webapi.sporttery.cn/gateway/lottery/getDigitalDrawInfoV1.qry?param=85,0&isVerify=1"
data = self._fetch_data(url)
if not data:
logger.error("获取最新数据失败")
return
dlt_data = dict(data.get("value", {}).get("dlt", {}))
if not dlt_data:
logger.error("数据格式错误")
return
record = result_handle(dlt_data)
if not record:
logger.error("数据转换失败")
return
with get_db_session() as db:
if self._save_record(db, record):
db.commit()
logger.info(f"成功保存最新数据: 期号 {record.issue}")
else:
logger.info(f"期号 {record.issue} 已存在")
def fetch_by_year(self, year: int) -> tuple[List[LotteryDLT], ResultCount]:
"""获取指定年份的所有数据"""
logger.info(f"开始爬取 {year} 年的数据")
year_prefix = str(year)[-2:]
all_records = []
success_count = 0
fail_count = 0
# 分两段获取：001-100 和 101-200
segments = [
(f"{year_prefix}001", f"{year_prefix}100"),
(f"{year_prefix}101", f"{year_prefix}200")
]
for start_term, end_term in segments:
url = (
f"https://webapi.sporttery.cn/gateway/lottery/getHistoryPageListV1.qry"
f"?gameNo=85&provinceId=0&isVerify=1"
f"&pageNo=1&pageSize=100"
f"&startTerm={start_term}&endTerm={end_term}"
)
data = self._fetch_data(url)
if not data:
logger.warning(f"获取 {start_term}-{end_term} 数据失败")
continue
dlt_list = data.get("value", {}).get("list", [])
if not dlt_list:
logger.warning(f"{start_term}-{end_term} 没有数据")
continue
for item_data in dlt_list:
record = result_handle(item_data)
if record:
all_records.append(record)
success_count += 1
else:
fail_count += 1
# 避免请求过快
time.sleep(0.5)
# 按期号排序
all_records.sort(key=lambda x: int(x.issue))
logger.info(f"{year} 年成功获取 {success_count} 条数据, 失败 {fail_count} 条数据")
return all_records, ResultCount(success_count, fail_count)
def fetch_range(self, start_year: int = 2007, end_year: Optional[int] = None):
"""
获取年限范围内历史所有的大乐透数据
Args:
start_year: 开始年份（大乐透从2007年开始）
end_year: 结束年份，默认为当前年份
"""
if end_year is None:
end_year = datetime.now().year + 1
logger.info(f"开始爬取 {start_year} 到 {end_year} 年的数据")
total_count = 0
success_count = 0
fail_count = 0
for year in range(start_year, end_year):
records, state = self.fetch_by_year(year)
success_count += state.success_count
fail_count += state.fail_count
total_count += (success_count + fail_count)
# 批量保存到数据库
if records:
with get_db_session() as db:
saved_count = 0
for record in records:
if self._save_record(db, record):
saved_count += 1
if saved_count > 0:
logger.info(f"{year} 年成功保存 {saved_count} 条新数据")
else:
db.rollback()
# 避免请求过快
time.sleep(1)
logger.info(f"爬取完成！总共 {total_count} 条数据, 成功: {success_count}, 失败: {fail_count}")
def fetch_missing(self, target_year: int = 2026):
"""
补全指定年份缺失的数据
Args:
target_year: 要补全的年份
"""
logger.info(f"开始补全 {target_year} 年的数据")
# 获取数据库中已存在的期号
with get_db_session() as db:
existing_issues = [
r[0] for r in db.query(LotteryDLT.issue)
.filter(LotteryDLT.issue.startswith(str(target_year)[-2:]))
.all()
]
# 获取该年份所有数据
records, state = self.fetch_by_year(target_year)
# 过滤出缺失的
missing_records = [r for r in records if r.issue not in existing_issues]
success_count = 0
if missing_records:
logger.info(f"发现 {len(missing_records)} 条缺失数据")
with get_db_session() as db:
for record in missing_records:
if self._save_record(db, record):
success_count += 1
db.commit()
logger.info(f"成功补全 {success_count} 条数据")
else:
logger.info(f"{target_year} 年数据完整，无需补全")
def get_latest_issue(self) -> Optional[str]:
"""获取数据库中最新的期号"""
with get_db_session() as db:
record = db.query(LotteryDLT).order_by(
desc(LotteryDLT.issue)
).first()
return record.issue if record else None
if __name__ == "__main__":
spider = DLTSpider()
# 爬取所有历史数据（从2007年开始）
# spider.fetch_range(start_year=2007)
# 或者只补全2026年的数据
spider.fetch_missing(2017)
# 或者只获取最新一期
# spider.fetch_latest()

58
main.py Normal file
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import logging
import models
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from sqlmodel import SQLModel
from core.db import engine
from core.config.settings import settings
from api.scheduler_api import scheduler_router
from api.lottery_api import lottery_router
from core.task.dlt_scheduler import scheduler
# 配置日志
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
# lifespan生命周期
@asynccontextmanager
async def lifespan(app: FastAPI):
# ========== 启动时执行 ==========
logger.info("服务启动，开始创建数据表")
# 同步建表
SQLModel.metadata.create_all(engine)
# 启动定时调度器
scheduler.start()
yield # 此处交出控制权，服务开始运行
# ========== 关闭时执行 ==========
logger.info("服务关闭，释放资源")
scheduler.shutdown()
app = FastAPI(lifespan=lifespan)
app.include_router(scheduler_router)
app.include_router(lottery_router)
app.add_middleware(
CORSMiddleware, # type: ignore[arg-type]
allow_origins=settings.ALLOWED_ORIGINS,
allow_credentials=True,
allow_methods=settings.ALLOWED_METHODS,
allow_headers=settings.ALLOWED_HEADERS,
)
@app.get("/")
def main():
return {"message": "Hello World"}
# 启动服务 --> uvicorn: Python中的轻量级web服务器
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)

0
middleware/__init__.py Normal file
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3
models/__init__.py Normal file
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# 存放数据库表的模型包
from .lottery_dlt import LotteryDLT

108
models/lottery_dlt.py Normal file
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from datetime import date, datetime
from typing import Optional
from sqlalchemy import Column
from sqlmodel import Date, SQLModel, Field, INT, DateTime
from pydantic import field_validator
class LotteryDLT(SQLModel, table=True):
"""大乐透彩票数据表"""
__tablename__ = "lottery_dlt"
id: int | None = Field(default=None, primary_key=True, index=True)
issue: str = Field(
unique=True,
nullable=False,
max_length=10,
sa_column_kwargs={"comment": "彩票期号,唯一"}
)
"""彩票期号"""
game_name: str = Field(
max_length=50,
nullable=False,
sa_column_kwargs={"comment": "彩票种类名称"}
)
"""彩票种类名称"""
draw_date: date = Field(
sa_column = Column(Date, nullable=False, comment="开奖日期")
)
"""开奖日期"""
draw_time: datetime = Field(
sa_column=Column(
DateTime(timezone=True),
nullable=False,
comment="开奖时间"
)
)
"""开奖时间"""
# 前区排序后的5个号码
front_sort_1: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码1"))
"""前区排序后的号码1"""
front_sort_2: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码2"))
"""前区排序后的号码2"""
front_sort_3: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码3"))
"""前区排序后的号码3"""
front_sort_4: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码4"))
"""前区排序后的号码4"""
front_sort_5: Optional[int] = Field(sa_column=Column(INT, comment="前区排序后的号码5"))
"""前区排序后的号码5"""
# 后区排序后的2个号码
back_sort_1: Optional[int] = Field(sa_column=Column(INT, comment="后区排序后的号码1"))
"""后区排序后的号码1"""
back_sort_2: Optional[int] = Field(sa_column=Column(INT, comment="后区排序后的号码2"))
"""后区排序后的号码2"""
# 前区5个号码
front_1: int = Field(sa_column=Column(INT, comment="前区号码1"))
"""前区号码1"""
front_2: int = Field(sa_column=Column(INT, comment="前区号码2"))
"""前区号码2"""
front_3: int = Field(sa_column=Column(INT, comment="前区号码3"))
"""前区号码3"""
front_4: int = Field(sa_column=Column(INT, comment="前区号码4"))
"""前区号码4"""
front_5: int = Field(sa_column=Column(INT, comment="前区号码5"))
"""前区号码5"""
# 后区2个号码
back_1: int = Field(sa_column=Column(INT, comment="后区号码1"))
"""后区号码1"""
back_2: int = Field(sa_column=Column(INT, comment="后区号码2"))
"""后区号码2"""
# 元数据字段
created_at: datetime = Field(
default_factory=datetime.now,
sa_column_kwargs={"comment": "创建时间"}
)
"""创建时间"""
updated_at: datetime = Field(
default_factory=datetime.now,
sa_column_kwargs={"onupdate": datetime.now, "comment": "更新时间"}
)
"""更新时间"""
# Pydantic 校验器：确保号码合法性
@field_validator(
'front_1', 'front_2', 'front_3', 'front_4', 'front_5',
'front_sort_1', 'front_sort_2', 'front_sort_3', 'front_sort_4', 'front_sort_5'
)
@classmethod
def validate_front(cls, v):
if not 1 <= v <= 35:
raise ValueError(f'前区号码必须在1-35之间，当前值: {v}')
return v
@field_validator('back_1', 'back_2', 'back_sort_1', 'back_sort_2')
@classmethod
def validate_back(cls, v):
if not 1 <= v <= 12:
raise ValueError(f'后区号码必须在1-12之间，当前值: {v}')
return v

17
pyproject.toml Normal file
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@@ -0,0 +1,17 @@
[project]
name = "lotteryserver"
version = "0.1.0"
requires-python = ">=3.14"
dependencies = [
"apscheduler==3.11.3",
"fastapi>=0.141.1",
"ipykernel>=7.3.0",
"pydantic==2.13.5",
"pydantic-settings==2.15.0",
"pymysql==1.2.0",
"requests==2.34.2",
"sqlalchemy>=2.0.52",
"sqlmodel==0.0.42",
"starlette>=1.6.0",
"uvicorn==0.52.4",
]

0
services/__init__.py Normal file
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0
services/lottery_service/__init__.py Normal file
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2
services/lottery_service/dlt.py Normal file
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@@ -0,0 +1,2 @@
def test_fun():
pass

927
uv.lock generated Normal file
View File

@@ -0,0 +1,927 @@
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