This commit is contained in:
qsc
2025-12-03 13:31:28 +08:00
parent 3478aa977a
commit 73681864b3
5 changed files with 892 additions and 3 deletions
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import aiomysql
class AsyncMySQL:
def __init__(self, db_config: dict):
self.db_config = db_config
self.pool = None
async def init_pool(self):
"""初始化连接池"""
if self.pool is None:
self.pool = await aiomysql.create_pool(**self.db_config)
async def close_pool(self):
"""关闭连接池"""
if self.pool:
self.pool.close()
await self.pool.wait_closed()
self.pool = None
async def fetch_one(self, sql: str, params=None):
"""查询单条数据"""
await self.init_pool()
async with self.pool.acquire() as conn: # type: ignore
async with conn.cursor(aiomysql.DictCursor) as cursor:
await cursor.execute(sql, params or ())
return await cursor.fetchone()
async def fetch_all(self, sql: str, params=None):
"""查询多条数据"""
await self.init_pool()
async with self.pool.acquire() as conn: # type: ignore
async with conn.cursor(aiomysql.DictCursor) as cursor:
await cursor.execute(sql, params or ())
return await cursor.fetchall()
async def execute(self, sql: str, params=None):
"""执行 SQLinsert/update/delete"""
await self.init_pool()
async with self.pool.acquire() as conn: # type: ignore
async with conn.cursor() as cursor:
await cursor.execute(sql, params or ())
await conn.commit()
return cursor.rowcount
async def executemany(self, sql: str, params_list):
"""批量执行 SQL"""
await self.init_pool()
async with self.pool.acquire() as conn: # type: ignore
async with conn.cursor() as cursor:
await cursor.executemany(sql, params_list)
await conn.commit()
return cursor.rowcount
async def truncate_table(self, table_name: str):
"""清空指定表"""
await self.init_pool()
async with self.pool.acquire() as conn: # type: ignore
async with conn.cursor() as cursor:
sql = f"TRUNCATE TABLE `{table_name}`"
await cursor.execute(sql)
await conn.commit()
return True
# ----------------------------------------------------------------------
# 新增:自动生成 SQL 的增删改功能
# ----------------------------------------------------------------------
async def insert_record(self, table: str, data: dict):
"""插入记录:data 是 dict"""
keys = ", ".join(f"`{k}`" for k in data.keys())
placeholders = ", ".join(["%s"] * len(data))
sql = f"INSERT INTO `{table}` ({keys}) VALUES ({placeholders})"
return await self.execute(sql, tuple(data.values()))
async def update_record(self, table: str, data: dict, where: dict):
"""更新记录:data、where 都是 dict"""
set_clause = ", ".join(f"`{k}`=%s" for k in data.keys())
where_clause = " AND ".join(f"`{k}`=%s" for k in where.keys())
sql = f"UPDATE `{table}` SET {set_clause} WHERE {where_clause}"
params = tuple(data.values()) + tuple(where.values())
return await self.execute(sql, params)
async def delete_record(self, table: str, where: dict):
"""删除记录:where 是 dict"""
where_clause = " AND ".join(f"`{k}`=%s" for k in where.keys())
sql = f"DELETE FROM `{table}` WHERE {where_clause}"
return await self.execute(sql, tuple(where.values()))
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from datetime import datetime
from typing import Dict, Any, Optional, List, Union
from astrbot.api import logger
from .request import APIClient
from .AsyncMySQL import AsyncMySQL
from .function_basic import load_template,flatten_field,extract_fields,gold_to_string
class JX3Service:
def __init__(self, api_config,db: AsyncMySQL ):
self._api = APIClient()
self._db = db
self._api_config = api_config
def _init_return_data(self) -> Dict[str, Any]:
"""初始化标准的返回数据结构"""
return {
"code": 0,
"msg": "功能函数未执行",
"data": {}
}
async def _base_request(
self,
config_key: str,
method: str,
params: Optional[Dict[str, Any]] = None,
out_key: Optional[str] = "data"
) -> Optional[Any]:
"""
基础请求封装,处理配置获取和API调用。
:param config_key: 配置字典中对应 API 的键名。
:param method: HTTP方法 ('GET''POST')。
:param params: 请求参数或 Body 数据。
:param out_key: 响应数据中需要提取的字段。
:return: 成功时返回提取后的数据,失败时返回 None。
"""
try:
api_config = self._api_config.get(config_key)
if not api_config:
logger.error(f"配置文件中未找到 key: {config_key}")
return None
# 复制 params,避免修改原始配置模板
request_params = api_config.get("params", {}).copy()
if params:
request_params.update(params)
url = api_config.get("url", "")
if not url:
logger.error(f"API配置缺少 URL: {config_key}")
return None
if method.upper() == 'POST':
data = await self._api.post(url, data=request_params, out_key=out_key)
else: # 默认为 GET
data = await self._api.get(url, params=request_params, out_key=out_key)
if not data:
logger.warning(f"获取接口信息失败或返回空数据: {config_key}")
return data
except Exception as e:
logger.error(f"基础请求调用出错 ({config_key}): {e}")
return None
# --- 业务功能函数 ---
async def richang(self,server: str, num: int = 0) -> Dict[str, Any]:
"""日常活动"""
return_data = self._init_return_data()
# 1. 构造请求参数
params = {"server": server, "num": num}
# 2. 调用基础请求
data: Optional[Dict[str, Any]] = await self._base_request(
"jx3_richang", "GET", params=params
)
if not data:
return_data["msg"] = "获取接口信息失败"
return return_data
# 3. 处理返回数据
try:
# 格式化字符串,利用字典的 get 方法提供默认值
result_msg = (
f"{server}\n{data.get('date', '未知日期')}-星期{data.get('week', '未知')}\n"
f"大战:{data.get('war', '')}\n"
f"战场:{data.get('battle', '')}\n"
f"阵营:{data.get('orecar', '')}\n"
f"宗门:{data.get('school', '')}\n"
f"驰援:{data.get('rescue', '')}\n"
f"画像:{data.get('draw', '')}\n"
)
# 安全地处理列表索引
luck = data.get('luck', [None, None, None])
luck_msg = f"[宠物福缘]\n{luck[0] or ''},{luck[1] or ''},{luck[2] or ''}\n"
card = data.get('card', [None, None, None])
card_msg = f"[家园声望·加倍道具]\n{card[0] or ''},{card[1] or ''},{card[2] or ''}\n"
team = data.get('team', [None, None, None])
team_msg = f"[武林通鉴·公共任务]\n{team[0] or ''}\n[武林通鉴·团队秘境]\n{team[2] or ''}\n"
return_data["data"] = result_msg + luck_msg + card_msg + team_msg
return_data["code"] = 200
except Exception as e:
logger.error(f"richang 数据处理时出错: {e}")
return_data["msg"] = "处理接口返回信息时出错"
return return_data
async def shapan(self, server: str ) -> Dict[str, Any]:
"""区服沙盘"""
return_data = self._init_return_data()
# 1. 构造请求参数
params = {"serverName": server}
# 2. 调用基础请求
data: Optional[Dict[str, Any]] = await self._base_request(
"aijx3_shapan", "POST", params=params
)
if not data:
return_data["msg"] = "获取接口信息失败"
return return_data
# 3. 处理返回数据 (直接提取图片 URL)
pic_url = data.get("picUrl")
if pic_url:
return_data["data"] = pic_url
return_data["code"] = 200
else:
return_data["msg"] = "接口未返回图片URL"
return return_data
async def kaifu(self, server: str) -> Dict[str, Any]:
"""开服状态查询"""
return_data = self._init_return_data()
# 1. 构造请求参数
params = {"server": server}
# 2. 调用基础请求
data: Optional[Dict[str, Union[int, str]]] = await self._base_request(
"jx3_kaifu", "GET", params=params
)
if not data:
return_data["msg"] = "获取接口信息失败"
return return_data
# 3. 处理返回数据
try:
status = data.get("status", 0)
timestamp = data.get("time", 0)
status_time = datetime.fromtimestamp(float(timestamp)).strftime("%Y-%m-%d %H:%M:%S")
if status == 1:
status_str = f"{server}服务器已开服,快冲,快冲!\n开服时间:{status_time}"
status_bool = True
else:
status_str = f"{server}服务器当前维护中,等会再来吧!\n维护时间:{status_time}"
status_bool = False
return_data["status"] = status_bool
return_data["data"] = status_str
return_data["code"] = 200
except Exception as e:
logger.error(f"kaifu 数据处理时出错: {e}")
return_data["msg"] = "处理接口返回信息时出错"
return return_data
async def shaohua(self) -> Dict[str, Any]:
"""骚话"""
return_data = self._init_return_data()
# 因为没有参数,所以 params=None
data: Optional[Dict[str, Any]] = await self._base_request("jx3_shaohua", "GET")
if not data:
return_data["msg"] = "获取接口信息失败"
return return_data
text = data.get("text")
if text:
return_data["data"] = text
return_data["code"] = 200
else:
return_data["msg"] = "接口未返回文本"
return return_data
async def jigai(self) -> Dict[str, Any]:
"""技改记录"""
return_data = self._init_return_data()
# 提取字段可能返回列表
data: Optional[List[Dict[str, Any]]] = await self._base_request("jx3_jigai", "GET")
if not data or not isinstance(data, list):
return_data["msg"] = "获取接口信息失败或数据格式错误"
return return_data
try:
result_msg = "剑网三最近技改\n"
# 仅展示前1条,避免消息过长
for i, item in enumerate(data[:1], 1):
result_msg += f"{i}. {item.get('title', '无标题')}\n"
result_msg += f"时间:{item.get('time', '未知时间')}\n"
result_msg += f"链接:{item.get('url', '无链接')}\n\n"
return_data["data"] = result_msg
return_data["code"] = 200
except Exception as e:
logger.error(f"jigai 数据处理时出错: {e}")
return_data["msg"] = "处理接口返回信息时出错"
return return_data
async def jinjia(self, server: str) -> Dict[str, Any]:
"""区服金价"""
return_data = self._init_return_data()
params = {"serverName": server}
data_list: Optional[List[Dict[str, Any]]] = await self._base_request("aijx3_jinjia", "POST", params=params)
if not data_list or not isinstance(data_list, list):
return_data["msg"] = "获取接口信息失败或数据格式错误"
return return_data
# 安全处理列表切片
display_data = data_list[:15]
# 加载模板
try:
return_data["temp"] = load_template("jinjia.html")
except FileNotFoundError as e:
logger.error(f"加载模板失败: {e}")
return_data["msg"] = "系统错误:模板文件不存在"
return return_data
# 准备模板渲染数据
try:
return_data["data"] = {
"items": display_data,
"server": server,
"update_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
}
return_data["code"] = 200
except Exception as e:
logger.error(f"jinjia 模板数据准备失败: {e}")
return_data["msg"] = "系统错误:模板渲染数据准备失败"
return return_data
async def qiyu(self, adventureName: str = "阴阳两界", serverName: str = "眉间雪") -> Dict[str, Any]:
"""区服奇遇"""
return_data = self._init_return_data()
params = {"adventureName": adventureName, "serverName": serverName}
data_list: Optional[List[Dict[str, Any]]] = await self._base_request("aijx3_qiyu", "POST", params=params)
if not data_list or not isinstance(data_list, list):
return_data["msg"] = "获取接口信息失败或数据格式错误"
return return_data
# 格式化时间
for item in data_list:
timestamp = item.get("time")
if timestamp and isinstance(timestamp, (int, float)):
# 修复时间戳:原代码显示这里是毫秒级,除以 1000
item["time"] = datetime.fromtimestamp(timestamp / 1000).strftime("%Y-%m-%d %H:%M:%S")
else:
item["time"] = "未知时间" # 确保即使 time 字段缺失也不会报错
# 加载模板
try:
return_data["temp"] = load_template("qiyuliebiao.html")
except FileNotFoundError as e:
logger.error(f"加载模板失败: {e}")
return_data["msg"] = "系统错误:模板文件不存在"
return return_data
# 准备模板渲染数据
try:
return_data["data"] = {
"items": data_list,
"server": serverName,
"update_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"qiyuname": adventureName
}
return_data["code"] = 200
except Exception as e:
logger.error(f"qiyu 模板数据准备失败: {e}")
return_data["msg"] = "系统错误:模板渲染数据准备失败"
return return_data
async def SearchData(self) -> Dict[str, Any]:
"""外观数据插入数据库"""
return_data = self._init_return_data()
# 获取数据
data: Optional[List[Dict[str, Any]]] = await self._base_request("aijx3_SearchData", "POST")
if not data:
return_data["msg"] = "获取接口信息失败"
return return_data
# 提取数据
try:
extracted_data = flatten_field(data, "dataModels")
except Exception as e:
logger.error(f"提取数据失败: {e}")
return_data["msg"] = "提取指定数据字段失败"
return return_data
# 准备SQL和批量数据
sql = """
INSERT INTO searchdata
(typeName, name, showName, picUrl, searchId, searchDescType)
VALUES (%s, %s, %s, %s, %s, %s)
"""
# 增强数据提取的安全性
values_list = [
(
item.get('typeName'),
item.get('name'),
item.get('showName'),
item.get('picUrl'),
item.get('searchId'),
item.get('searchDescType')
)
for item in extracted_data
]
# 插入数据
try:
await self._db.truncate_table("searchdata")
await self._db.executemany(sql, values_list)
except Exception as e:
logger.error(f"数据插入失败: {e}")
return_data["msg"] = "数据插入数据库失败"
return return_data
return_data["msg"] = f"成功批量插入 {len(values_list)} 条数据!"
return_data["code"] = 200
return return_data
async def wujia(self, Name: str) -> Dict[str, Any]:
"""物价查询"""
return_data = self._init_return_data()
# 1. 查询魔盒获取外观名称 (jx3box_exterior)
params_search = {"keyword": Name}
search_data: Optional[Dict[str, Any]] = await self._base_request("jx3box_exterior", "GET", params=params_search)
showName = ""
searchId = None
# 2. 确定外观名称和 ID
if search_data and search_data.get("total", 0) > 0 and search_data.get("list"):
# 从 API 获取名称
showName = search_data["list"][0].get("name", "")
# 进一步从 DB 查找 ID
try:
sql = "SELECT searchId FROM searchdata WHERE showName=%s"
sqldata = await self._db.fetch_one(sql, (showName,))
searchId = sqldata["searchId"] if sqldata else None
except Exception as e:
logger.warning(f"从 DB 获取外观ID错误: {e}") # 警告而非错误,因为可能数据库同步失败
elif search_data and search_data.get("total", 0) == 0:
# 从 DB 查找名称和 ID
try:
sql = "SELECT showName, searchId FROM searchdata WHERE name = %s OR showName = %s"
sqldata = await self._db.fetch_one(sql, (Name, Name))
if sqldata:
showName = sqldata["showName"]
searchId = sqldata["searchId"]
else:
raise ValueError("DB did not find data.")
except Exception as e:
logger.error(f"获取外观信息错误: {e}")
return_data["msg"] = "未找到该外观信息"
return return_data
if not showName or not searchId:
return_data["msg"] = "无法确定外观名称或ID"
return return_data
return_data["data"]["showName"] = showName
return_data["data"]["searchId"] = searchId
# 3. 获取外观详细数据 (aijx3_GoodsDetail)
params_detail = {"goodsName": showName}
detail_data: Optional[Dict[str, Any]] = await self._base_request("aijx3_GoodsDetail", "POST", params=params_detail)
if not detail_data:
return_data["msg"] = "获取外观详细数据失败"
return return_data
# 提取外观详细数据
try:
imgs = detail_data.get("imgs", [])
return_data["data"].update({
"goodsDesc": detail_data.get("goodsDesc", "无描述"),
"publishTime": detail_data.get("publishTime", "无价格"),
"priceNum": detail_data.get("priceNum", 0),
"goodsId": detail_data.get("goodsId", "无数据"),
"imgs": imgs[0] if imgs and isinstance(imgs, list) else "",
"goodsAlias": detail_data.get("goodsAlias", "无别名"),
})
except Exception as e:
logger.error(f"提取外观详细数据失败: {e}")
return_data["msg"] = "提取外观详细数据失败"
return return_data
# 4. 查询万宝楼数据(公示和在售)
wbl_data = await self._get_wbl_data(showName)
if wbl_data:
return_data["data"]["wblgs"] = wbl_data["wblgs"]
return_data["data"]["wblzs"] = wbl_data["wblzs"]
return_data["msg"] = "获取万宝楼数据完成"
else:
logger.warning("万宝楼数据获取失败")
# 5. 加载模板
try:
return_data["temp"] = load_template("wujia.html")
return_data["code"] = 200
except FileNotFoundError as e:
logger.error(f"加载模板失败: {e}")
return_data["msg"] = "系统错误:模板文件不存在"
return return_data
return return_data
async def _get_wbl_data(self,showName):
"""获取万宝楼数据(公示和在售)"""
try:
#在配置文件中获取接口配置
#api_config = self._api_config["aijx3_wblwg"]
api_config = self._api_config["wbl_waiguan"]
#更新参数
api_config["params"]["filter[role_appearance]"] = showName
# 获取公示数据
api_config["params"]["filter[state]"] = "1"
datawblgs = await self._api.get(api_config["url"], api_config["params"], "data")
# 获取在售数据
api_config["params"]["filter[state]"] = "2"
datawblzs = await self._api.get(api_config["url"], api_config["params"], "data")
return {
"wblgs": await self._process_wbl_records(datawblgs.get("list", [])),
"wblzs": await self._process_wbl_records(datawblzs.get("list", []))
}
except Exception as e:
logger.error(f"获取万宝楼数据出错: {e}")
return None
async def _process_wbl_records(self,records):
"""处理万宝楼记录数据"""
processed = []
for record in records:
try:
# 转换时间戳为可读格式
timestamp = record.get("remaining_time", 0)
days = timestamp // 86400 # 每天有 86400 秒
hours = (timestamp % 86400) // 3600 # 每小时有 3600 秒
minutes = (timestamp % 3600) // 60 # 每分钟有 60 秒
result = ""
if days > 0:
result = (f"{days}")
if hours > 0:
result += (f"{hours}")
if minutes > 0:
result += (f"{minutes}分钟")
single_unit_price = record.get("single_unit_price", 0)
processed.append({
"priceNum": "{:.2f}".format( single_unit_price / 100),
"belongQf2": record.get("server_name", "无数据"),
"replyTime": result,
"discountRate": record.get("discountRate", 0.0),
})
except Exception as e:
logger.error(f"处理万宝楼记录出错: {e}")
continue
return processed
async def jiaoyihang(self, Name: str , server: str) -> Dict[str, Any]:
"""区服交易行"""
return_data = self._init_return_data()
# 1. 查找物品 ID 列表 (多页)
api_config_search = self._api_config["jx3box_item"]
search_params = api_config_search.get("params", {}).copy()
search_params["keyword"] = Name
# 使用 all_pages 获取所有数据
all_items: List[Dict[str, Any]] = await self._api.all_pages(
"GET",
api_config_search["url"],
params_data=search_params, # 对应到 APIClient.all_pages
out_key="data",
list_key="data"
)
if not all_items:
return_data["msg"] = "未找到该物品"
return return_data
# 2. 提取 ID、IconID 和 Name
fields = ["IconID", "Name", "id"]
# 安全提取字段,并确保 id 存在且是数字
result = [extract_fields([item], fields)[0] for item in all_items if item.get("id") is not None]
lists_id = [str(item.get("id")) for item in result if item.get("id") is not None]
strlists_id = ",".join(lists_id)
if not strlists_id:
return_data["msg"] = "未找到有效的物品ID"
return return_data
# 3. 查询物品价格 (jx3box_itemprice)
api_config_price = self._api_config["jx3box_itemprice"]
price_params = api_config_price.get("params", {}).copy()
price_params["itemIds"] = strlists_id
price_params["server"] = server
price_data: Optional[Dict[str, Dict[str, Any]]] = await self._api.get(
api_config_price["url"], params=price_params, out_key="data"
)
if not price_data:
return_data["msg"] = "未找到在售物品"
return return_data
# 4. 合并数据和格式化
fieldsjyh = ["ItemId", "SampleSize", "LowestPrice", "AvgPrice", "Date"]
resultjyh = [{f: v[f] for f in fieldsjyh} for v in price_data.values()]
#合并表格数据
# 先建立一个字典映射,加快查找
map_result = {item["id"]: {"IconID": item["IconID"], "Name": item["Name"]} for item in result}
# 遍历 resultjyh,合并字段
for item in resultjyh:
if item["ItemId"] in map_result:
item.update(map_result[item["ItemId"]])
#处理数据
for item in resultjyh:
item["LowestPrice"] = gold_to_string(item["LowestPrice"])
item["AvgPrice"] = gold_to_string(item["AvgPrice"])
item["IconID"] = f"https://icon.jx3box.com/icon/{item['IconID']}.png"
# 5. 模板渲染
try:
return_data["temp"] = load_template("jiaoyihang.html")
return_data["data"] = {
"items": resultjyh,
"server": server,
"update_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
}
return_data["code"] = 200
except FileNotFoundError as e:
logger.error(f"加载模板失败: {e}")
return_data["msg"] = "系统错误:模板文件不存在"
except Exception as e:
logger.error(f"模板渲染数据准备失败: {e}")
return_data["msg"] = "系统错误:数据处理失败"
return return_data
+192
View File
@@ -0,0 +1,192 @@
# core/request.py
import json
import aiohttp
from typing import Optional, Dict, Any, Union, List
from aiohttp import ClientTimeout, ClientSession
from astrbot.api import logger
class APIClient:
"""
API客户端类
优化说明:
1. 复用 aiohttp.ClientSession 以提高性能。
2. 增加类型提示 (Type Hints)。
3. 支持异步上下文管理器 (Async Context Manager)。
"""
def __init__(self, base_timeout: int = 10, ssl_verify: bool = False):
self.base_timeout = base_timeout
self.ssl_verify = ssl_verify
self._session: Optional[ClientSession] = None
async def get_session(self) -> ClientSession:
"""获取或创建单例 Session"""
if self._session is None or self._session.closed:
timeout = ClientTimeout(total=self.base_timeout)
self._session = ClientSession(timeout=timeout)
return self._session
async def close(self):
"""关闭 Session"""
if self._session and not self._session.closed:
await self._session.close()
async def __aenter__(self):
await self.get_session()
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
await self.close()
async def _request(self, method: str, url: str, params: Optional[Dict] = None, json_data: Optional[Dict] = None) -> Any:
"""
统一的内部请求处理方法
"""
session = await self.get_session()
method = method.upper()
# 记录日志
logger.debug(f"发起 {method} 请求: {url}")
if params: logger.debug(f"Query参数: {params}")
if json_data: logger.debug(f"Body数据: {json_data}")
try:
# aiohttp 会自动处理 json=json_data 时的 Content-Type
async with session.request(
method=method,
url=url,
params=params,
json=json_data,
ssl=self.ssl_verify
) as response:
return await self._handle_response(response)
except aiohttp.ClientError as e:
logger.error(f"网络请求出错 ({method} {url}): {e}")
return None
except Exception as e:
logger.error(f"未知错误 ({method} {url}): {e}")
return None
async def _handle_response(self, response: aiohttp.ClientResponse) -> Any:
"""处理响应:自动识别二进制或JSON"""
try:
logger.debug(f"响应状态: {response.status}")
response.raise_for_status() # 如果是 4xx/5xx 直接抛出异常
content_type = response.headers.get('Content-Type', '').lower()
# 处理二进制流 (图片、文件等)
if 'image' in content_type or 'octet-stream' in content_type:
return await response.read()
# 处理 JSON
# 优先尝试标准 json 解析
try:
data = await response.json()
except Exception:
# 容错:有些 API 返回 text/html 但内容是 JSON
text = await response.text()
try:
data = json.loads(text)
except json.JSONDecodeError:
logger.error(f"无法解析响应为 JSON。原始内容: {text[:100]}...")
return None
logger.debug(f"响应数据: {data}")
return self._validate_api_payload(data)
except aiohttp.ClientError as e:
logger.error(f"HTTP响应错误: {e}")
return None
def _validate_api_payload(self, data: Any) -> Any:
"""校验业务层面的 JSON 数据结构"""
if not data:
logger.error("API返回空数据")
return None
# 如果返回的是 JSON 字符串而非对象,再次解析
if isinstance(data, str):
try:
data = json.loads(data)
except json.JSONDecodeError:
return None
if isinstance(data, dict) and 'code' in data:
# 兼容多种成功状态码:200, "0", 0, 1
code = data.get('code')
if code not in [200, "0", 0, 1]:
msg = data.get('msg') or data.get('message', '未知错误')
logger.error(f"API业务报错: code={code}, msg={msg}")
return None
return data
async def get(self, url: str, params: Optional[Dict] = None, out_key: Optional[str] = None) -> Any:
"""GET 请求封装"""
data = await self._request('GET', url, params=params)
return self._extract_data(data, out_key)
async def post(self, url: str, data: Optional[Dict] = None, out_key: Optional[str] = None) -> Any:
"""POST 请求封装 (默认发送 JSON)"""
data = await self._request('POST', url, json_data=data)
return self._extract_data(data, out_key)
def _extract_data(self, data: Any, key: Optional[str]) -> Any:
"""辅助方法:从结果中提取指定字段"""
if data is None:
return None
if isinstance(data, bytes):
return data
if key and isinstance(data, dict):
return data.get(key, {})
return data
async def all_pages(
self,
method: str,
url: str,
params_data: Optional[Dict] = None,
out_key: str = "",
list_key: str = "list",
max_pages: int = 10
) -> List[Any]:
"""
分页获取所有数据
:param method: GET 或 POST
:param list_key: 列表数据在 JSON 中的字段名,如 'data''list'
"""
all_data = []
current_page = 1
params = params_data.copy() if params_data else {}
while True:
params["page"] = str(current_page)
if method.upper() == "POST":
data = await self.post(url, data=params, out_key=out_key)
else:
data = await self.get(url, params=params, out_key=out_key)
# 终止条件判断
if not data or isinstance(data, bytes):
break
# 如果 data 是列表本身(有些API直接返回列表)
page_items = data if isinstance(data, list) else data.get(list_key)
if not page_items:
break
all_data.extend(page_items)
if current_page >= max_pages:
break
current_page += 1
logger.info(f"已获取第 {current_page} 页数据")
return all_data
+3 -3
View File
@@ -8,8 +8,8 @@ from astrbot.api.star import Context, Star, register, StarTools
from astrbot.api import logger from astrbot.api import logger
from astrbot.api import AstrBotConfig from astrbot.api import AstrBotConfig
from .core.AsyncMySQL import AsyncMySQL from .core.async_mysql import AsyncMySQL
from .core.JX3Function import JX3Function from .core.jx3_service import JX3Service
from .core.WZRYFunction import WZRYFunction from .core.WZRYFunction import WZRYFunction
@@ -52,7 +52,7 @@ class Jx3ApiPlugin(Star):
} }
#创建类实例 #创建类实例
self.db = AsyncMySQL(db_config) self.db = AsyncMySQL(db_config)
self.jx3fun = JX3Function(self.api_config,self.db) self.jx3fun = JX3Service(self.api_config,self.db)
self.wzry = WZRYFunction(self.api_config,self.db) self.wzry = WZRYFunction(self.api_config,self.db)
# 周期函数调用 # 周期函数调用
+14
View File
@@ -0,0 +1,14 @@
import http.client
conn = http.client.HTTPSConnection("api.t1qq.com")
payload = ''
headers = {
'User-Agent': 'Apifox/1.0.0 (https://apifox.com)',
'Accept': '*/*',
'Host': 'api.t1qq.com',
'Connection': 'keep-alive'
}
conn.request("GET", "/api/tool/wzrr/ydtp?key=vBpEzoiC9z5A9c9Nn83IhLn6M9&id=489048724", payload, headers)
res = conn.getresponse()
data = res.read()
print(data)