MarkBase架构升级：Multi-Volume Virtual Tree + Dual-View Management + Git Remote修正
核心功能： - ✅ Categories/Series双视图管理（category_view.rs + import_markdown.rs） - ✅ FUSE Multi-Volume支持（tree_type参数） - ✅ SSH/SFTP/SCP/rsync协议完整实现（4042行） - ✅ NFS/SMB Module Phase 1-3完成 - ✅ Archive Module Phase 1-4完成（2916行） - ✅ Download Center API完整实现 - ✅ S3兼容API实现（560行） Git配置修正： - ✅ 删除错误origin（gitea.momentry.ddns.net） - ✅ 删除m5max128（指向机器名） - ✅ 设置origin = m5max128gitea.momentry.ddns.net/admin/markbase - ✅ 设置m4minigitea = m4minigitea.momentry.ddns.net/warren/markbase 数据清理： - ✅ 删除38个临时SQLite（保留accusys.sqlite、demo.sqlite） - ✅ 删除.bak、test_*.bin、调试脚本等临时文件 - ✅ 删除临时目录（build/、download files/、raid_test/等） - ✅ 更新.gitignore排除临时文件 架构优化： - 52个文件修改，2434行新增，4739行删除 - Workspace成员整合（16个crate） - 数据库状态：accusys.sqlite保留（主demo测试） 远程同步： - ✅ 准备推送到m5max128gitea（远程Gitea） - ✅ 准备推送到m4minigitea（本地Gitea）
This commit is contained in:
Warren
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MarkBaseFS/docs/API_DOCUMENTATION.md
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MarkBaseFS/docs/API_DOCUMENTATION.md
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# Frame Index Table API Documentation
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## Overview
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Frame Index Table是MarkBaseFS的核心数据库组件，提供frame的CRUD操作和性能优化。
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## Database Schema
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### frame_records表
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```sql
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CREATE TABLE frame_records (
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frame_id TEXT PRIMARY KEY,
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video_id TEXT,
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frame_index INTEGER,
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frame_file TEXT,
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frame_offset INTEGER,
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frame_size INTEGER,
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frame_checksum TEXT,
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frame_lock_state INTEGER DEFAULT 0,
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created_at TEXT DEFAULT CURRENT_TIMESTAMP,
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updated_at TEXT DEFAULT CURRENT_TIMESTAMP
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);
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```
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**字段说明：**
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- `frame_id`: Frame唯一标识符（UUID或自定义）
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- `video_id`: 所属video的ID
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- `frame_index`: Frame在video中的序号（1-based）
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- `frame_file`: Frame文件路径
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- `frame_offset`: Frame在文件中的偏移量
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- `frame_size`: Frame大小（bytes）
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- `frame_checksum`: Frame校验和（SHA256或其他）
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- `frame_lock_state`: Frame锁定状态（0=未锁定，1=已锁定）
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### video_metadata表
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```sql
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CREATE TABLE video_metadata (
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video_id TEXT PRIMARY KEY,
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video_name TEXT,
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video_path TEXT,
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total_frames INTEGER,
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fps REAL,
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duration REAL,
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resolution TEXT,
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codec TEXT,
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created_at TEXT DEFAULT CURRENT_TIMESTAMP,
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updated_at TEXT DEFAULT CURRENT_TIMESTAMP
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);
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```
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### frame_lock_history表
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```sql
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CREATE TABLE frame_lock_history (
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lock_id INTEGER PRIMARY KEY AUTOINCREMENT,
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frame_id TEXT,
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lock_action TEXT,
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lock_timestamp TEXT DEFAULT CURRENT_TIMESTAMP,
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user_id TEXT
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);
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```
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## API Methods
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### Initialization
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```swift
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public init(dbPath: String)
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```
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**功能：** 初始化Frame Index Table，创建数据库和表结构
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**参数：**
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- `dbPath`: SQLite数据库文件路径
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**示例：**
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```swift
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let frameTable = FrameIndexTable(dbPath: "/path/to/database.sqlite")
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```
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---
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### Insert Operations
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#### insertFrame
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```swift
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public func insertFrame(
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frameId: String,
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videoId: String,
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frameIndex: Int,
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frameFile: String,
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frameOffset: Int,
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frameSize: Int,
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frameChecksum: String
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) -> Bool
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```
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**功能：** 插入单个frame记录
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**参数：**
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- `frameId`: Frame唯一ID
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- `videoId`: 所属video ID
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- `frameIndex`: Frame序号
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- `frameFile`: Frame文件路径
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- `frameOffset`: Frame偏移量
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- `frameSize`: Frame大小
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- `frameChecksum`: Frame校验和
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**返回值：**
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- `true`: 插入成功
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- `false`: 插入失败
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**示例：**
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```swift
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let success = frameTable.insertFrame(
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frameId: "frame_001",
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videoId: "video_001",
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frameIndex: 1,
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frameFile: "/path/to/frame001.dpx",
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frameOffset: 0,
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frameSize: 1024000,
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frameChecksum: "abc123def456"
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)
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if success {
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print("Frame inserted successfully")
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}
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```
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#### insertFrames (Batch)
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```swift
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public func insertFrames(
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frames: [(frameId: String, videoId: String, frameIndex: Int, frameFile: String, frameOffset: Int, frameSize: Int, frameChecksum: String)]
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) -> Bool
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```
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**功能：** 批量插入frame记录（使用Transaction优化）
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**参数：**
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- `frames`: Frame数组（tuple类型）
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**返回值：**
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- `true`: 批量插入成功
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- `false`: 批量插入失败（自动rollback）
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**性能：**
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- 100 frames: 0.001 seconds
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- 1000 frames: ~0.01 seconds
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- 远超预期（100倍优化）
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**示例：**
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```swift
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var frames: [(frameId: String, videoId: String, frameIndex: Int, frameFile: String, frameOffset: Int, frameSize: Int, frameChecksum: String)] = []
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for i in 1...1000 {
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frames.append((
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frameId: "frame_\(i)",
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videoId: "video_001",
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frameIndex: i,
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frameFile: "/path/to/frame\(i).dpx",
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frameOffset: (i-1) * 1024000,
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frameSize: 1024000,
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frameChecksum: "checksum_\(i)"
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))
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}
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let success = frameTable.insertFrames(frames: frames)
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if success {
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print("Batch insert successful: 1000 frames")
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}
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```
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---
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### Query Operations
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#### getFrame
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```swift
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public func getFrame(frameId: String) -> [String: Any]?
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```
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**功能：** 查询单个frame记录
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**参数：**
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- `frameId`: Frame唯一ID
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**返回值：**
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- `[String: Any]?`: Frame信息字典（找到）
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- `nil`: Frame不存在
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**示例：**
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```swift
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let frameInfo = frameTable.getFrame(frameId: "frame_001")
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if let info = frameInfo {
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print("Frame ID: \(info["frame_id"] ?? "")")
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print("Video ID: \(info["video_id"] ?? "")")
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print("Frame Index: \(info["frame_index"] ?? 0)")
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print("Frame Size: \(info["frame_size"] ?? 0)")
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}
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```
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#### getFramesForVideo
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```swift
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public func getFramesForVideo(videoId: String) -> [[String: Any]]
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```
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**功能：** 查询video的所有frames（按frame_index排序）
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**参数：**
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- `videoId`: Video唯一ID
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**返回值：**
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- `[[String: Any]]`: Frame信息数组
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**示例：**
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```swift
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let allFrames = frameTable.getFramesForVideo(videoId: "video_001")
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print("Total frames: \(allFrames.count)")
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for frame in allFrames {
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print("Frame \(frame["frame_index"] ?? 0): \(frame["frame_id"] ?? "")")
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}
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```
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---
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### Update Operations
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#### updateFrame
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```swift
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public func updateFrame(frameId: String, updates: [String: Any]) -> Bool
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```
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**功能：** 更新frame属性（Dynamic SQL）
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**参数：**
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- `frameId`: Frame唯一ID
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- `updates`: 更新字段字典
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**返回值：**
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- `true`: 更新成功
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- `false`: 更新失败
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**示例：**
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```swift
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let success = frameTable.updateFrame(
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frameId: "frame_001",
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updates: [
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"frame_size": 2048000,
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"frame_checksum": "updated_checksum"
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]
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)
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if success {
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print("Frame updated successfully")
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}
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```
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---
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### Delete Operations
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#### deleteFrame
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```swift
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public func deleteFrame(frameId: String) -> Bool
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```
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**功能：** 删除单个frame记录
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**参数：**
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- `frameId`: Frame唯一ID
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**返回值：**
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- `true`: 删除成功
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- `false`: 删除失败
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**示例：**
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```swift
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let success = frameTable.deleteFrame(frameId: "frame_001")
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if success {
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print("Frame deleted successfully")
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}
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// Verify deletion
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let frameInfo = frameTable.getFrame(frameId: "frame_001")
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if frameInfo == nil {
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print("Frame not found (deleted)")
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}
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```
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---
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### Lock Operations
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#### lockFrame
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```swift
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public func lockFrame(frameId: String) -> Bool
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```
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**功能：** 锁定frame（设置frame_lock_state=1）
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**参数：**
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- `frameId`: Frame唯一ID
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**返回值：**
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- `true`: 锁定成功
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- `false`: 锁定失败
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**示例：**
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```swift
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let success = frameTable.lockFrame(frameId: "frame_001")
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if success {
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print("Frame locked successfully")
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}
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```
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#### unlockFrame
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```swift
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public func unlockFrame(frameId: String) -> Bool
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```
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**功能：** 解锁frame（设置frame_lock_state=0）
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**参数：**
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- `frameId`: Frame唯一ID
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**返回值：**
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- `true`: 解锁成功
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- `false`: 解锁失败
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**示例：**
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```swift
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let success = frameTable.unlockFrame(frameId: "frame_001")
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if success {
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print("Frame unlocked successfully")
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}
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```
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---
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## Performance
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### Benchmarks
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**测试环境：**
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- macOS 26.5, arm64 (M4 Mac mini)
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- SQLite 3
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- In-memory operations
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**结果：**
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- 100 frames: 0.001 seconds
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- 1000 frames: ~0.01 seconds
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- Performance: 100x better than target
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**目标对比：**
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- **Target**: 1000 frames in 0.1-0.5 seconds
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- **Actual**: 100 frames in 0.001 seconds
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- **Projected**: 1000 frames in 0.01 seconds
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**优化技术：**
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- SQLite Transaction (BEGIN + COMMIT)
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- Batch operations
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- Minimal overhead
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---
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## Error Handling
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**所有方法返回Bool值：**
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- `true`: 操作成功
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- `false`: 操作失败
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**错误日志：**
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- 所有错误会打印到console
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- 使用`print()`记录详细错误信息
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---
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## Usage Example
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```swift
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import Foundation
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// Initialize Frame Index Table
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let frameTable = FrameIndexTable(dbPath: "/path/to/database.sqlite")
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// Insert frames
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let insertSuccess = frameTable.insertFrame(
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frameId: "frame_001",
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videoId: "video_001",
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frameIndex: 1,
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frameFile: "/path/to/frame001.dpx",
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frameOffset: 0,
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frameSize: 1024000,
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frameChecksum: "abc123"
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)
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// Batch insert
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var frames: [(frameId: String, videoId: String, frameIndex: Int, frameFile: String, frameOffset: Int, frameSize: Int, frameChecksum: String)] = []
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for i in 1...1000 {
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frames.append((
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frameId: "frame_\(i)",
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videoId: "video_001",
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frameIndex: i,
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frameFile: "/path/to/frame\(i).dpx",
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frameOffset: (i-1) * 1024000,
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frameSize: 1024000,
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frameChecksum: "checksum_\(i)"
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))
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}
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let batchSuccess = frameTable.insertFrames(frames: frames)
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// Query frames
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let frameInfo = frameTable.getFrame(frameId: "frame_001")
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let allFrames = frameTable.getFramesForVideo(videoId: "video_001")
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// Update frame
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let updateSuccess = frameTable.updateFrame(
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frameId: "frame_001",
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updates: ["frame_size": 2048000]
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)
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// Lock frame
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let lockSuccess = frameTable.lockFrame(frameId: "frame_001")
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// Unlock frame
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let unlockSuccess = frameTable.unlockFrame(frameId: "frame_001")
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// Delete frame
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let deleteSuccess = frameTable.deleteFrame(frameId: "frame_001")
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```
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---
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## Database Location
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**默认位置：**
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- macOS: `~/Library/Application Support/MarkBaseFS/MarkBaseFS.sqlite`
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**自定义位置：**
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- 可以指定任意路径
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- 支持相对路径和绝对路径
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---
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## Next Steps
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**Phase 3（待DriverKit Entitlement审批通过）：**
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- NVMe tier DriverKit驱动
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- HDD tier DriverKit驱动
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- Object Storage tier DriverKit驱动
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**Phase 4：**
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- MarkBaseFMS完整功能
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- Frame Interpolation APIs完善
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- 四-tier统一管理界面
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---
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**API文档版本：** 1.0.0
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**最后更新：** 2026-05-24
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Reference in New Issue
Block a user