Kris
2ab65f153f
新增 QQ Bot 渠道扩展，支持在 Yuxi 平台中集成 QQ 机器人渠道。 包含以下功能模块： - api_client: QQ API 客户端封装 - api_routes: API 路由管理 - config: 渠道配置管理 - gateway: SSE/WebSocket 网关接入 - websocket: WebSocket 实时连接 - credentials: 凭证管理 - token: Token 管理 - outbound: 外发消息管理 - outbound_media: 媒体外发 - streaming: 流式消息处理 - streaming_media: 媒体流处理 - pairing: 用户配对与绑定 - security: 安全校验 - dedupe: 消息去重 - monitor: 渠道状态监控 - status: 会话状态管理 - session: 会话管理 - pipeline: 消息管道 - pipeline_stages: 管道阶段 - commands: 指令处理 - commands_builtin: 内置指令 - interaction: 交互处理 - approval: 审批流程 - ark: ARK 消息 - audio: 音频处理 - media: 媒体资源 - media_chunked: 分块媒体 - media_tags: 媒体标签 - message_queue: 消息队列 - delivery: 消息送达确认 - reconnect: 重连机制 - typing_keepalive: 输入状态保活 - group_activation: 群激活 - group_gating: 群门控 - group_history: 群历史 - known_users: 已知用户 - ref_index: 引用索引 - tools: Agent 工具集成 - types: 类型定义
51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
from __future__ import annotations
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import hashlib
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import logging
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from pathlib import Path
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from typing import Any
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logger = logging.getLogger(__name__)
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CHUNK_SIZE = 10 * 1024 * 1024
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class ChunkedMediaUploader:
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def __init__(self, api_client: Any = None):
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self._api_client = api_client
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def needs_chunked_upload(self, file_size: int, threshold: int = CHUNK_SIZE) -> bool:
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return file_size >= threshold
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async def upload_file_chunked(
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self, file_path: str, chat_type: str, target_id: str
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) -> dict | None:
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path = Path(file_path)
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if not path.exists():
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return None
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data = path.read_bytes()
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file_hash = hashlib.sha256(data).hexdigest()[:16]
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parts = []
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offset = 0
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part_num = 1
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while offset < len(data):
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chunk = data[offset : offset + CHUNK_SIZE]
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chunk_hash = hashlib.sha256(chunk).hexdigest()[:8]
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parts.append(
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{
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"part_num": part_num,
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"data": chunk,
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"hash": chunk_hash,
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}
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)
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offset += CHUNK_SIZE
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part_num += 1
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return {
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"file_hash": file_hash,
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"total_parts": len(parts),
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"file_size": len(data),
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"filename": path.name,
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} |