24024
af7c11d7f9
- 新增图像生成接口，支持试用、积分和自定义API Key模式 - 实现生成图片结果异步上传至MinIO存储，带重试机制 - 优化积分预扣除和异常退还逻辑，保障用户积分准确 - 添加获取生成历史记录接口，支持时间范围和分页 - 提供本地字典配置接口，支持模型、比例、提示模板和尺寸 - 实现图片批量上传接口，支持S3兼容对象存储 feat(admin): 增加管理员角色管理与权限分配接口 - 实现角色列表查询、角色创建、更新及删除功能 - 增加权限列表查询接口 - 实现用户角色分配接口，便于统一管理用户权限 - 增加系统字典增删查改接口，支持分类过滤和排序 - 权限控制全面覆盖管理接口，保证安全访问 feat(auth): 完善用户登录注册及权限相关接口与页面 - 实现手机号验证码发送及校验功能，保障注册安全 - 支持手机号注册、登录及退出接口，集成日志记录 - 增加修改密码功能，验证原密码后更新 - 提供动态导航菜单接口，基于权限展示不同菜单 - 实现管理界面路由及日志、角色、字典管理页面访问权限控制 - 添加系统日志查询接口，支持关键词和等级筛选 feat(app): 初始化Flask应用并配置蓝图与数据库 - 创建应用程序工厂，加载配置，初始化数据库和Redis客户端 - 注册认证、API及管理员蓝图，整合路由 - 根路由渲染主页模板 - 应用上下文中自动创建数据库表，保证运行环境准备完毕 feat(database): 提供数据库创建与迁移支持脚本 - 新增数据库创建脚本，支持自动检测是否已存在 - 添加数据库表初始化脚本，支持创建和删除所有表 - 实现RBAC权限初始化，包含基础权限和角色创建 - 新增字段手动修复脚本，添加用户API Key和积分字段 - 强制迁移脚本支持清理连接和修复表结构，初始化默认数据及角色分配 feat(config): 新增系统配置参数 - 配置数据库、Redis、Session和MinIO相关参数 - 添加AI接口地址及试用Key配置 - 集成阿里云短信服务配置及开发模式相关参数 feat(extensions): 初始化数据库、Redis和MinIO客户端 - 创建全局SQLAlchemy数据库实例和Redis客户端 - 配置基于boto3的MinIO兼容S3客户端 chore(logs): 添加示例系统日志文件 - 记录用户请求、验证码发送成功与失败的日志信息
92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
from ..helpers import nativestr
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from .utils import list_to_dict
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class TSInfo:
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"""
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Hold information and statistics on the time-series.
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Can be created using ``tsinfo`` command
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https://redis.io/docs/latest/commands/ts.info/
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"""
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rules = []
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labels = []
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sourceKey = None
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chunk_count = None
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memory_usage = None
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total_samples = None
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retention_msecs = None
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last_time_stamp = None
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first_time_stamp = None
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max_samples_per_chunk = None
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chunk_size = None
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duplicate_policy = None
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def __init__(self, args):
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"""
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Hold information and statistics on the time-series.
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The supported params that can be passed as args:
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rules:
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A list of compaction rules of the time series.
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sourceKey:
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Key name for source time series in case the current series
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is a target of a rule.
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chunkCount:
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Number of Memory Chunks used for the time series.
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memoryUsage:
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Total number of bytes allocated for the time series.
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totalSamples:
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Total number of samples in the time series.
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labels:
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A list of label-value pairs that represent the metadata
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labels of the time series.
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retentionTime:
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Retention time, in milliseconds, for the time series.
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lastTimestamp:
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Last timestamp present in the time series.
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firstTimestamp:
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First timestamp present in the time series.
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maxSamplesPerChunk:
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Deprecated.
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chunkSize:
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Amount of memory, in bytes, allocated for data.
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duplicatePolicy:
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Policy that will define handling of duplicate samples.
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Can read more about on
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https://redis.io/docs/latest/develop/data-types/timeseries/configuration/#duplicate_policy
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"""
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response = dict(zip(map(nativestr, args[::2]), args[1::2]))
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self.rules = response.get("rules")
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self.source_key = response.get("sourceKey")
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self.chunk_count = response.get("chunkCount")
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self.memory_usage = response.get("memoryUsage")
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self.total_samples = response.get("totalSamples")
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self.labels = list_to_dict(response.get("labels"))
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self.retention_msecs = response.get("retentionTime")
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self.last_timestamp = response.get("lastTimestamp")
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self.first_timestamp = response.get("firstTimestamp")
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if "maxSamplesPerChunk" in response:
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self.max_samples_per_chunk = response["maxSamplesPerChunk"]
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self.chunk_size = (
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self.max_samples_per_chunk * 16
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) # backward compatible changes
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if "chunkSize" in response:
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self.chunk_size = response["chunkSize"]
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if "duplicatePolicy" in response:
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self.duplicate_policy = response["duplicatePolicy"]
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if isinstance(self.duplicate_policy, bytes):
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self.duplicate_policy = self.duplicate_policy.decode()
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def get(self, item):
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try:
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return self.__getitem__(item)
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except AttributeError:
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return None
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def __getitem__(self, item):
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return getattr(self, item)
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