Spaces:
Sleeping
Sleeping
File size: 6,312 Bytes
02117ee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 | """
Connector Manager — Manus-style connector ecosystem
Manages OAuth tokens, connection state, API access
"""
import json
import os
import time
from typing import Dict, List, Optional
import structlog
log = structlog.get_logger()
CONNECTORS_CONFIG = [
{
"id": "github",
"name": "GitHub",
"icon": "github",
"color": "#24292e",
"env_key": "GITHUB_TOKEN",
"description": "Repos, Issues, PRs, Commits",
"scopes": ["repo", "issues", "pull_requests"],
"category": "code",
},
{
"id": "huggingface",
"name": "HuggingFace",
"icon": "huggingface",
"color": "#ff9d00",
"env_key": "HF_TOKEN",
"description": "Spaces, Models, Datasets",
"scopes": ["spaces", "models"],
"category": "ai",
},
{
"id": "vercel",
"name": "Vercel",
"icon": "vercel",
"color": "#000000",
"env_key": "VERCEL_TOKEN",
"description": "Deployments, Domains, Functions",
"scopes": ["deployments", "projects"],
"category": "deploy",
},
{
"id": "openai",
"name": "OpenAI",
"icon": "openai",
"color": "#10a37f",
"env_key": "OPENAI_API_KEY",
"description": "GPT-4o, Embeddings, DALL-E",
"scopes": ["chat", "embeddings"],
"category": "ai",
},
{
"id": "groq",
"name": "Groq",
"icon": "groq",
"color": "#f55036",
"env_key": "GROQ_API_KEY",
"description": "Llama 3.3 70B — Ultra Fast",
"scopes": ["chat"],
"category": "ai",
},
{
"id": "cerebras",
"name": "Cerebras",
"icon": "cerebras",
"color": "#7c3aed",
"env_key": "CEREBRAS_API_KEY",
"description": "Llama 3.1 70B — Long Context",
"scopes": ["chat"],
"category": "ai",
},
{
"id": "openrouter",
"name": "OpenRouter",
"icon": "openrouter",
"color": "#6366f1",
"env_key": "OPENROUTER_API_KEY",
"description": "Multi-model router, free tier",
"scopes": ["chat"],
"category": "ai",
},
{
"id": "anthropic",
"name": "Anthropic",
"icon": "anthropic",
"color": "#d4a27f",
"env_key": "ANTHROPIC_API_KEY",
"description": "Claude 3.5 Sonnet",
"scopes": ["chat"],
"category": "ai",
},
{
"id": "n8n",
"name": "n8n",
"icon": "n8n",
"color": "#ea4b71",
"env_key": "N8N_URL",
"description": "Workflow automation engine",
"scopes": ["workflows", "executions"],
"category": "workflow",
},
{
"id": "telegram",
"name": "Telegram",
"icon": "telegram",
"color": "#0088cc",
"env_key": "TELEGRAM_BOT_TOKEN",
"description": "Bot API, messages, webhooks",
"scopes": ["messages", "bots"],
"category": "messaging",
},
{
"id": "discord",
"name": "Discord",
"icon": "discord",
"color": "#5865f2",
"env_key": "DISCORD_BOT_TOKEN",
"description": "Bot, channels, webhooks",
"scopes": ["messages", "bots"],
"category": "messaging",
},
{
"id": "slack",
"name": "Slack",
"icon": "slack",
"color": "#4a154b",
"env_key": "SLACK_BOT_TOKEN",
"description": "Messages, channels, workflows",
"scopes": ["messages", "channels"],
"category": "messaging",
},
{
"id": "cloudflare",
"name": "Cloudflare",
"icon": "cloudflare",
"color": "#f38020",
"env_key": "CLOUDFLARE_API_TOKEN",
"description": "Workers, KV, Pages",
"scopes": ["workers", "kv", "pages"],
"category": "infra",
},
]
class ConnectorManager:
"""Manages all platform connectors — connection state, tokens, status."""
def __init__(self):
self._configs = {c["id"]: c for c in CONNECTORS_CONFIG}
def get_all(self) -> List[Dict]:
"""Get all connectors with connection status."""
result = []
for cfg in CONNECTORS_CONFIG:
token = os.environ.get(cfg["env_key"], "")
result.append({
**cfg,
"connected": bool(token),
"token_preview": f"{token[:8]}..." if token else None,
})
return result
def get_connected(self) -> List[Dict]:
"""Get only connected connectors."""
return [c for c in self.get_all() if c["connected"]]
def get_by_category(self, category: str) -> List[Dict]:
"""Get connectors by category."""
return [c for c in self.get_all() if c["category"] == category]
def is_connected(self, connector_id: str) -> bool:
cfg = self._configs.get(connector_id)
if not cfg:
return False
return bool(os.environ.get(cfg["env_key"], ""))
def get_token(self, connector_id: str) -> Optional[str]:
cfg = self._configs.get(connector_id)
if not cfg:
return None
return os.environ.get(cfg["env_key"]) or None
def set_token(self, connector_id: str, token: str):
"""Set connector token at runtime (does not persist across restarts)."""
cfg = self._configs.get(connector_id)
if cfg:
os.environ[cfg["env_key"]] = token
log.info("Connector token set", connector=connector_id)
def get_summary(self) -> Dict:
all_c = self.get_all()
connected = [c for c in all_c if c["connected"]]
by_cat = {}
for c in all_c:
cat = c["category"]
if cat not in by_cat:
by_cat[cat] = {"total": 0, "connected": 0}
by_cat[cat]["total"] += 1
if c["connected"]:
by_cat[cat]["connected"] += 1
return {
"total": len(all_c),
"connected": len(connected),
"by_category": by_cat,
"ai_ready": self.is_connected("openai") or self.is_connected("groq")
or self.is_connected("openrouter") or self.is_connected("anthropic")
or self.is_connected("cerebras"),
}
|