29 KiB
Meta-Core Architecture
Document Purpose
This document describes the architectural design of meta-core, the unified data and metadata access layer for MetaMesh. Meta-core is a language-agnostic sidecar binary that runs alongside each service container, providing KV storage, leader election, service discovery, and file access APIs. This document covers the sidecar pattern, leader election mechanism, API design, data model, and integration patterns.
System Overview
MetaMesh consists of three services that require shared access to metadata and files:
| Service | Language | Role |
|---|---|---|
| meta-sort | TypeScript | Watches folders, extracts metadata, writes to KV |
| meta-fuse | TypeScript/Rust | Serves virtual filesystem from KV metadata |
| meta-stremio | Python | Stremio addon for HLS streaming |
Problem Statement
Without meta-core, each service implements its own:
- Leader election logic (616 lines TS + 301 lines Python + 277 lines TS)
- Redis client configuration
- Service discovery mechanism
- File path resolution
This leads to:
- Code duplication across languages
- Inconsistent behavior between implementations
- Tight coupling to Redis internals
- Complex maintenance when adding new services
Core Design Principle
Provide a single, language-agnostic interface for all data and metadata operations, abstracting storage implementation from service logic.
This design enables:
- Language independence: Any service language can use HTTP API
- Single source of truth: One leader manages all storage
- Clean abstraction: Services don't know about Redis, flock, or file paths
- Operational simplicity: One binary to deploy, monitor, and debug
Architecture Design
Sidecar Pattern
Meta-core runs as a sidecar process in each container, alongside the main service:
┌─────────────────────────────────────────────────────────────────┐
│ Container (meta-sort / meta-fuse / meta-stremio) │
│ │
│ ┌──────────────────┐ HTTP API ┌──────────────────────┐│
│ │ Main Service │◄────────────────►│ meta-core ││
│ │ │ localhost:9000 │ (Go binary) ││
│ │ - TypeScript │ │ ││
│ │ - Python │ │ - Leader election ││
│ │ - Any language │ │ - Redis management ││
│ │ │ │ - Service discovery ││
│ └──────────────────┘ │ - File access API ││
│ └──────────┬───────────┘│
│ │ │
└───────────────────────────────────────────────────┼─────────────┘
│
┌───────────────────────────────┼───────────────┐
│ /meta-core (shared volume) │
│ ▼ │
│ ┌─────────────────────────────────────────┐ │
│ │ locks/ │ │
│ │ kv-leader.lock (flock marker) │ │
│ │ kv-leader.info (leader JSON) │ │
│ │ db/ │ │
│ │ redis/ (RDB + AOF) │ │
│ │ services/ │ │
│ │ meta-sort.json (service registry) │ │
│ │ meta-fuse.json │ │
│ │ meta-stremio.json │ │
│ └─────────────────────────────────────────┘ │
└──────────────────────────────────────────────┘
┌──────────────────────────────────────────────┐
│ /files (shared volume) │
│ │
│ media/ │
│ movies/ │
│ Movie.2024.mkv │
│ series/ │
│ Show.S01E01.mkv │
└──────────────────────────────────────────────┘
Multi-Container Topology
Across all containers, exactly one meta-core instance is the leader:
┌─────────────────────┐ ┌─────────────────────┐ ┌─────────────────────┐
│ meta-sort │ │ meta-fuse │ │ meta-stremio │
│ container │ │ container │ │ container │
│ │ │ │ │ │
│ ┌───────────────┐ │ │ ┌───────────────┐ │ │ ┌───────────────┐ │
│ │ meta-core │ │ │ │ meta-core │ │ │ │ meta-core │ │
│ │ ★ LEADER │ │ │ │ follower │ │ │ │ follower │ │
│ │ │ │ │ │ │ │ │ │ │ │
│ │ [Redis]──────┼──┼──┼──┼───────────────┼──┼──┼──┼───────────────│ │
│ │ │ │ │ │ │ │ │ │ │ │
│ └───────────────┘ │ │ └───────────────┘ │ │ └───────────────┘ │
│ ▲ │ │ │ │ │ │ │
│ │ HTTP │ │ │ HTTP │ │ │ HTTP │
│ ▼ │ │ ▼ │ │ ▼ │
│ ┌───────────────┐ │ │ ┌───────────────┐ │ │ ┌───────────────┐ │
│ │ meta-sort │ │ │ │ meta-fuse │ │ │ │ meta-stremio │ │
│ │ service │ │ │ │ service │ │ │ │ service │ │
│ └───────────────┘ │ │ └───────────────┘ │ │ └───────────────┘ │
└─────────────────────┘ └─────────────────────┘ └─────────────────────┘
│ │ │
└────────────────────────┼────────────────────────┘
▼
┌──────────────────────────────┐
│ /meta-core (shared volume) │
│ /files (shared volume) │
└──────────────────────────────┘
Leader Election
Mechanism: flock-based Consensus
Meta-core uses POSIX file locking (flock) on a shared filesystem for leader election. This approach requires no external consensus system (etcd, Consul, Zookeeper).
Leader Election Flow:
meta-core startup
│
▼
┌──────────────────┐
│ Try flock() on │
│ kv-leader.lock │
│ (non-blocking) │
└────────┬─────────┘
│
┌───────┴───────┐
│ │
acquired blocked
│ │
▼ ▼
┌─────────┐ ┌──────────┐
│ LEADER │ │ FOLLOWER │
└────┬────┘ └────┬─────┘
│ │
▼ ▼
┌──────────┐ ┌────────────┐
│ Spawn │ │ Read │
│ Redis │ │ leader.info│
│ │ │ │
│ Write │ │ Connect to │
│ leader │ │ leader │
│ .info │ │ Redis │
└──────────┘ └────────────┘
Lock File Structure
/meta-core/locks/kv-leader.lock
- Binary flock marker (empty file)
- Held exclusively by leader process
- Automatically released on process death (kernel handles cleanup)
/meta-core/locks/kv-leader.info
{
"hostname": "meta-sort-dev",
"redis_url": "redis://10.0.1.50:6379",
"http_url": "http://10.0.1.50:9000",
"started_at": "2024-01-15T10:30:00Z",
"pid": 12345,
"version": "1.0.0"
}
Failover Behavior
When the leader process dies:
- Kernel releases flock automatically (no stale lock possible)
- Followers detect via:
- File watch on
kv-leader.info - Health check failure to leader HTTP endpoint
- File watch on
- First follower acquires lock becomes new leader
- New leader spawns Redis using existing data in
/meta-core/db/redis/ - Other followers reconnect to new leader
Timeline: Leader Failure and Recovery
t=0 t=1 t=2 t=3 t=4
│ │ │ │ │
▼ ▼ ▼ ▼ ▼
Leader Leader Flock Follower New leader
running crashes released acquires spawns Redis
flock & serves
Leader Responsibilities
The leader meta-core instance:
- Spawns Redis as a child process on port 6379
- Writes leader.info with connection details
- Accepts all write operations (metadata updates)
- Serves read operations (metadata queries, file paths)
- Manages service registry (heartbeats, stale detection)
Follower Responsibilities
Follower meta-core instances:
- Monitor leader.info for leader changes
- Proxy requests to leader for writes
- Cache metadata locally for fast reads (optional)
- Attempt leader acquisition on leader failure
Data Model
Two-Concept Model
Meta-core manages two distinct but related concepts:
┌─────────────────────────────────────────────────────────────────┐
│ METADATA (KV Store) │
│ │
│ Key: midhash256 CID │
│ Value: { │
│ "title": "Movie Name", │
│ "year": 2024, │
│ "path": "movies/Movie.2024.mkv", ◄── relative to /files │
│ "size": 15032385536, │
│ "duration": 7200, │
│ "codec": "hevc", │
│ ... │
│ } │
│ │
│ ✓ Can exist WITHOUT local file (remote/deleted) │
│ ✓ Searchable by any field │
│ ✓ Stored in Redis hashes │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ DATA (Files) │
│ │
│ Location: /files volume (shared across containers) │
│ Access: Via path from metadata │
│ │
│ ✓ Always has metadata (at minimum: hash, path, title) │
│ ✓ Accessed by path or streamed via API │
│ ✓ Never duplicated or moved │
└─────────────────────────────────────────────────────────────────┘
Path Resolution
File paths in metadata are relative to the /files volume:
Metadata path: "movies/Movie.2024.mkv"
Container path: "/files/movies/Movie.2024.mkv"
Host path: "${DATA_WATCH_PATH}/movies/Movie.2024.mkv"
This enables:
- Multi-host deployments: Same metadata works across machines
- Volume remapping: Change mount points without updating metadata
- Portable backups: Metadata export/import works across systems
API Design
Endpoint Overview
Meta-core exposes an HTTP API on localhost:9000 (configurable):
Health & Status
GET /health → Health check and role info
GET /status → Detailed status and metrics
Metadata Operations
GET /meta/{hash} → Get metadata by hash
PUT /meta/{hash} → Create/update metadata
DELETE /meta/{hash} → Delete metadata
GET /meta?search=... → Search metadata
Data Operations
GET /data/{hash}/path → Get file path
GET /data/{hash}/stream → Stream file content
HEAD /data/{hash} → Check if file exists
Service Discovery
GET /services → List registered services
POST /services/{name} → Register/heartbeat service
DELETE /services/{name} → Deregister service
Health Endpoint
GET /health
Response:
{
"status": "healthy",
"role": "leader", // or "follower"
"leader": {
"hostname": "meta-sort-dev",
"http_url": "http://10.0.1.50:9000",
"redis_url": "redis://10.0.1.50:6379"
},
"uptime_seconds": 3600,
"version": "1.0.0"
}
Metadata CRUD
Get Metadata
GET /meta/bafkreihdwdcefgh4dqkjv67uzcmw7ojee6xedzdetojuzjevtenxquvyku
Response:
{
"hash": "bafkreihdwdcefgh4dqkjv67uzcmw7ojee6xedzdetojuzjevtenxquvyku",
"path": "movies/Inception.2010.mkv",
"title": "Inception",
"year": 2010,
"duration": 8880,
"size": 15032385536,
...
}
Update Metadata
PUT /meta/bafkreihdwdcefgh4dqkjv67uzcmw7ojee6xedzdetojuzjevtenxquvyku
Content-Type: application/json
{
"title": "Inception",
"year": 2010,
"custom.rating": 9.5
}
Response:
{
"success": true,
"hash": "bafkreihdwdcefgh4dqkjv67uzcmw7ojee6xedzdetojuzjevtenxquvyku"
}
Search Metadata
GET /meta?title=inception&year=2010&limit=10&offset=0
Response:
{
"results": [
{ "hash": "bafkrei...", "title": "Inception", ... }
],
"total": 1,
"limit": 10,
"offset": 0
}
Data Access
Get File Path
GET /data/bafkreihdwdcefgh4dqkjv67uzcmw7ojee6xedzdetojuzjevtenxquvyku/path
Response:
{
"path": "/files/movies/Inception.2010.mkv",
"exists": true,
"size": 15032385536
}
Stream File Content
GET /data/bafkreihdwdcefgh4dqkjv67uzcmw7ojee6xedzdetojuzjevtenxquvyku/stream
Range: bytes=0-1048575
Response:
HTTP/1.1 206 Partial Content
Content-Type: application/octet-stream
Content-Range: bytes 0-1048575/15032385536
Content-Length: 1048576
[binary data]
Service Discovery
Register Service
POST /services/meta-fuse
Content-Type: application/json
{
"hostname": "meta-fuse-dev",
"http_url": "http://10.0.1.51:8181",
"version": "2.0.0",
"capabilities": ["vfs", "webdav"]
}
Response:
{
"success": true,
"ttl_seconds": 60
}
List Services
GET /services
Response:
{
"services": [
{
"name": "meta-sort",
"hostname": "meta-sort-dev",
"http_url": "http://10.0.1.50:8180",
"status": "healthy",
"last_heartbeat": "2024-01-15T10:30:00Z"
},
{
"name": "meta-fuse",
"hostname": "meta-fuse-dev",
"http_url": "http://10.0.1.51:8181",
"status": "healthy",
"last_heartbeat": "2024-01-15T10:30:05Z"
}
]
}
Implementation
Technology Choice: Go
Meta-core is implemented in Go for the following reasons:
| Requirement | Go Advantage |
|---|---|
| Language agnostic | HTTP API, no runtime dependencies |
| Single binary | Static compilation, no interpreter |
| Low resource usage | Small memory footprint (~10-20MB) |
| File locking | stdlib syscall.Flock |
| HTTP server | stdlib net/http |
| Redis client | go-redis (mature, full-featured) |
| Cross-platform | Compile for Linux, macOS, Windows |
Binary Structure
meta-core
├── cmd/
│ └── meta-core/
│ └── main.go # Entry point
├── internal/
│ ├── leader/
│ │ ├── election.go # flock-based election
│ │ └── redis.go # Redis process management
│ ├── api/
│ │ ├── server.go # HTTP server setup
│ │ ├── health.go # Health endpoints
│ │ ├── meta.go # Metadata endpoints
│ │ ├── data.go # Data endpoints
│ │ └── services.go # Service discovery endpoints
│ ├── storage/
│ │ ├── redis.go # Redis client wrapper
│ │ └── cache.go # Optional local cache
│ └── config/
│ └── config.go # Configuration loading
├── go.mod
└── go.sum
Process Management
Meta-core manages the Redis process as a child:
// Leader spawns Redis
cmd := exec.Command("redis-server",
"--port", "6379",
"--dir", "/meta-core/db/redis",
"--save", "60", "1", // RDB snapshot
"--appendonly", "yes", // AOF persistence
)
cmd.Start()
// Monitor Redis health
go func() {
for {
if err := redisClient.Ping(); err != nil {
log.Error("Redis unhealthy, restarting...")
cmd.Process.Kill()
cmd.Start()
}
time.Sleep(5 * time.Second)
}
}()
Container Integration
Meta-core runs via supervisord alongside the main service:
# /etc/supervisor/conf.d/meta-core.conf
[program:meta-core]
command=/usr/local/bin/meta-core
directory=/meta-core
autostart=true
autorestart=true
priority=1
startsecs=2
stdout_logfile=/var/log/meta-core.log
stderr_logfile=/var/log/meta-core.err
[program:main-service]
command=/app/start.sh
autostart=true
autorestart=true
priority=10
startsecs=5
Configuration
Environment variables configure meta-core:
# Core paths
META_CORE_PATH=/meta-core # Shared volume for locks/db
FILES_PATH=/files # Shared volume for media files
# Network
META_CORE_HTTP_PORT=9000 # HTTP API port
META_CORE_REDIS_PORT=6379 # Redis port (leader only)
# Behavior
META_CORE_SERVICE_NAME=meta-sort # Service identity for discovery
META_CORE_LEADER_TIMEOUT=30 # Seconds before leader considered dead
META_CORE_HEARTBEAT_INTERVAL=10 # Service heartbeat frequency
Client Integration
TypeScript Client
Services use a simple HTTP client to interact with meta-core:
// meta-core-client.ts
class MetaCoreClient {
private baseUrl = 'http://localhost:9000';
async getMeta(hash: string): Promise<Metadata | null> {
const res = await fetch(`${this.baseUrl}/meta/${hash}`);
if (res.status === 404) return null;
return res.json();
}
async setMeta(hash: string, meta: Partial<Metadata>): Promise<void> {
await fetch(`${this.baseUrl}/meta/${hash}`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(meta),
});
}
async getDataPath(hash: string): Promise<string | null> {
const res = await fetch(`${this.baseUrl}/data/${hash}/path`);
if (res.status === 404) return null;
const data = await res.json();
return data.path;
}
async search(query: SearchQuery): Promise<SearchResult> {
const params = new URLSearchParams(query as any);
const res = await fetch(`${this.baseUrl}/meta?${params}`);
return res.json();
}
async isHealthy(): Promise<boolean> {
try {
const res = await fetch(`${this.baseUrl}/health`);
return res.ok;
} catch {
return false;
}
}
}
export const metaCore = new MetaCoreClient();
Python Client
# meta_core_client.py
import requests
from typing import Optional, Dict, Any
class MetaCoreClient:
def __init__(self, base_url: str = "http://localhost:9000"):
self.base_url = base_url
def get_meta(self, hash: str) -> Optional[Dict[str, Any]]:
res = requests.get(f"{self.base_url}/meta/{hash}")
if res.status_code == 404:
return None
return res.json()
def set_meta(self, hash: str, meta: Dict[str, Any]) -> None:
requests.put(
f"{self.base_url}/meta/{hash}",
json=meta
)
def get_data_path(self, hash: str) -> Optional[str]:
res = requests.get(f"{self.base_url}/data/{hash}/path")
if res.status_code == 404:
return None
return res.json()["path"]
def search(self, **query) -> Dict[str, Any]:
res = requests.get(f"{self.base_url}/meta", params=query)
return res.json()
def is_healthy(self) -> bool:
try:
res = requests.get(f"{self.base_url}/health")
return res.ok
except:
return False
meta_core = MetaCoreClient()
Search Capabilities
Current Implementation
Basic search uses Redis SCAN with pattern matching:
GET /meta?title=inception
→ SCAN 0 MATCH "file:*" COUNT 100
→ For each key: HGET key title → filter matches
This works for small collections but scales poorly.
Enhanced Search (Future)
For advanced search, meta-core supports Redis Search module:
# Create search index
FT.CREATE idx:files ON HASH PREFIX 1 "file:" SCHEMA
title TEXT WEIGHT 5.0
series_title TEXT WEIGHT 3.0
year NUMERIC SORTABLE
media_type TAG
duration NUMERIC SORTABLE
# Search query
FT.SEARCH idx:files "@title:inception @year:[2010 2010]"
Search query syntax:
GET /meta?q=title:inception AND year:2010
GET /meta?q=media_type:episode AND series_title:"Breaking Bad"
GET /meta?q=duration:[3600 7200] # 1-2 hours
Failure Modes
Leader Crash
- Detection: Followers detect via health check failure (5s timeout)
- Election: Fastest follower acquires flock
- Recovery: New leader spawns Redis with existing data
- Reconnection: Other followers read new leader.info, reconnect
- Downtime: 5-10 seconds typical
Redis Crash
- Detection: Leader detects ping failure
- Recovery: Leader restarts Redis process
- Data: Recovered from RDB snapshot + AOF replay
- Downtime: 1-2 seconds typical
Network Partition
- Followers isolated: Continue serving cached reads, writes fail
- Leader isolated: Continues operating, followers elect new leader
- Resolution: On reconnection, followers sync with true leader
- Risk: Brief split-brain if partition during election (mitigated by flock atomicity)
Shared Volume Unavailable
- Impact: All meta-core instances fail
- Behavior: Services operate in degraded mode (no metadata)
- Recovery: Automatic when volume restored
Observability
Metrics Endpoint
GET /metrics
# Prometheus format
meta_core_role{service="meta-sort"} 1 # 1=leader, 0=follower
meta_core_uptime_seconds{service="meta-sort"} 3600
meta_core_requests_total{endpoint="/meta"} 15420
meta_core_request_duration_seconds{endpoint="/meta",quantile="0.99"} 0.005
meta_core_redis_commands_total 892341
meta_core_files_total 12847
meta_core_metadata_bytes 45678901
Logging
Structured JSON logging:
{
"time": "2024-01-15T10:30:00Z",
"level": "info",
"msg": "Acquired leader lock",
"service": "meta-sort",
"pid": 12345
}
Log levels: debug, info, warn, error
Health Probes
For Kubernetes/Docker health checks:
# docker-compose.yml
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9000/health"]
interval: 10s
timeout: 5s
retries: 3
Security Considerations
Network Isolation
- Meta-core listens on
localhost:9000only (not exposed externally) - Redis listens on
localhost:6379only - Inter-container communication uses Docker network
File Access
- Meta-core runs as non-root user
- Read-only access to /files volume (except meta-sort)
- No shell access or command execution
Input Validation
- Hash parameters validated as valid CID format
- Path traversal prevented (paths must be relative, no
..) - JSON body size limited (10MB max)
Configuration Reference
Environment Variables
| Variable | Default | Description |
|---|---|---|
META_CORE_PATH |
/meta-core |
Path to shared infrastructure volume |
FILES_PATH |
/files |
Path to shared files volume |
META_CORE_HTTP_PORT |
9000 |
HTTP API port |
META_CORE_REDIS_PORT |
6379 |
Redis port (leader only) |
META_CORE_SERVICE_NAME |
hostname | Service identity |
META_CORE_LEADER_TIMEOUT |
30 |
Leader health timeout (seconds) |
META_CORE_HEARTBEAT_INTERVAL |
10 |
Heartbeat frequency (seconds) |
META_CORE_LOG_LEVEL |
info |
Log verbosity |
META_CORE_CACHE_ENABLED |
false |
Enable local read cache |
META_CORE_CACHE_TTL |
60 |
Cache TTL (seconds) |
File Paths
| Path | Purpose |
|---|---|
/meta-core/locks/kv-leader.lock |
Leader election flock file |
/meta-core/locks/kv-leader.info |
Leader connection info |
/meta-core/db/redis/dump.rdb |
Redis RDB snapshot |
/meta-core/db/redis/appendonly.aof |
Redis AOF log |
/meta-core/services/*.json |
Service registry files |
Summary
Meta-core provides a unified, language-agnostic interface for MetaMesh's data and metadata operations. By consolidating leader election, storage management, and service discovery into a single sidecar binary, it:
- Eliminates code duplication across TypeScript and Python services
- Simplifies service implementation to pure business logic
- Provides operational visibility through consistent health/metrics
- Enables future evolution by abstracting storage implementation
The flock-based leader election ensures exactly-one-leader semantics without external dependencies, while the HTTP API enables integration from any programming language.