File size: 11,360 Bytes
eebf5c4 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 |
"""
WebSocket API for Integration Services
This module provides WebSocket endpoints for integration services
including HuggingFace AI models and persistence operations.
"""
import asyncio
from datetime import datetime
from typing import Any, Dict
from fastapi import APIRouter, WebSocket, WebSocketDisconnect
import logging
from backend.services.ws_service_manager import ws_manager, ServiceType
from backend.services.hf_registry import HFRegistry
from backend.services.hf_client import HFClient
from backend.services.persistence_service import PersistenceService
from config import Config
logger = logging.getLogger(__name__)
router = APIRouter()
# ============================================================================
# Integration Service Handlers
# ============================================================================
class IntegrationStreamers:
"""Handles data streaming for integration services"""
def __init__(self):
self.config = Config()
try:
self.hf_registry = HFRegistry()
except:
self.hf_registry = None
logger.warning("HFRegistry not available")
try:
self.hf_client = HFClient()
except:
self.hf_client = None
logger.warning("HFClient not available")
try:
self.persistence_service = PersistenceService()
except:
self.persistence_service = None
logger.warning("PersistenceService not available")
# ========================================================================
# HuggingFace Streaming
# ========================================================================
async def stream_hf_registry_status(self):
"""Stream HuggingFace registry status"""
if not self.hf_registry:
return None
try:
status = self.hf_registry.get_status()
if status:
return {
"total_models": status.get("total_models", 0),
"total_datasets": status.get("total_datasets", 0),
"available_models": status.get("available_models", []),
"available_datasets": status.get("available_datasets", []),
"last_refresh": status.get("last_refresh"),
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming HF registry status: {e}")
return None
async def stream_hf_model_usage(self):
"""Stream HuggingFace model usage statistics"""
if not self.hf_client:
return None
try:
usage = self.hf_client.get_usage_stats()
if usage:
return {
"total_requests": usage.get("total_requests", 0),
"successful_requests": usage.get("successful_requests", 0),
"failed_requests": usage.get("failed_requests", 0),
"average_latency": usage.get("average_latency"),
"model_usage": usage.get("model_usage", {}),
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming HF model usage: {e}")
return None
async def stream_sentiment_results(self):
"""Stream real-time sentiment analysis results"""
if not self.hf_client:
return None
try:
# This would stream sentiment results as they're processed
results = self.hf_client.get_recent_results()
if results:
return {
"sentiment_results": results,
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming sentiment results: {e}")
return None
async def stream_model_events(self):
"""Stream model loading and unloading events"""
if not self.hf_registry:
return None
try:
events = self.hf_registry.get_recent_events()
if events:
return {
"model_events": events,
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming model events: {e}")
return None
# ========================================================================
# Persistence Service Streaming
# ========================================================================
async def stream_persistence_status(self):
"""Stream persistence service status"""
if not self.persistence_service:
return None
try:
status = self.persistence_service.get_status()
if status:
return {
"storage_location": status.get("storage_location"),
"total_records": status.get("total_records", 0),
"storage_size": status.get("storage_size"),
"last_save": status.get("last_save"),
"active_writers": status.get("active_writers", 0),
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming persistence status: {e}")
return None
async def stream_save_events(self):
"""Stream data save events"""
if not self.persistence_service:
return None
try:
events = self.persistence_service.get_recent_saves()
if events:
return {
"save_events": events,
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming save events: {e}")
return None
async def stream_export_progress(self):
"""Stream export operation progress"""
if not self.persistence_service:
return None
try:
progress = self.persistence_service.get_export_progress()
if progress:
return {
"export_operations": progress,
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming export progress: {e}")
return None
async def stream_backup_events(self):
"""Stream backup creation events"""
if not self.persistence_service:
return None
try:
backups = self.persistence_service.get_recent_backups()
if backups:
return {
"backup_events": backups,
"timestamp": datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Error streaming backup events: {e}")
return None
# Global instance
integration_streamers = IntegrationStreamers()
# ============================================================================
# Background Streaming Tasks
# ============================================================================
async def start_integration_streams():
"""Start all integration stream tasks"""
logger.info("Starting integration WebSocket streams")
tasks = [
# HuggingFace Registry
asyncio.create_task(ws_manager.start_service_stream(
ServiceType.HUGGINGFACE,
integration_streamers.stream_hf_registry_status,
interval=60.0 # 1 minute updates
)),
# Persistence Service
asyncio.create_task(ws_manager.start_service_stream(
ServiceType.PERSISTENCE,
integration_streamers.stream_persistence_status,
interval=30.0 # 30 second updates
)),
]
await asyncio.gather(*tasks, return_exceptions=True)
# ============================================================================
# WebSocket Endpoints
# ============================================================================
@router.websocket("/ws/integration")
async def websocket_integration_endpoint(websocket: WebSocket):
"""
Unified WebSocket endpoint for all integration services
Connection URL: ws://host:port/ws/integration
After connecting, send subscription messages:
{
"action": "subscribe",
"service": "huggingface" | "persistence" | "all"
}
To unsubscribe:
{
"action": "unsubscribe",
"service": "service_name"
}
"""
connection = await ws_manager.connect(websocket)
try:
while True:
data = await websocket.receive_json()
await ws_manager.handle_client_message(connection, data)
except WebSocketDisconnect:
logger.info(f"Integration client disconnected: {connection.client_id}")
except Exception as e:
logger.error(f"Integration WebSocket error: {e}")
finally:
await ws_manager.disconnect(connection.client_id)
@router.websocket("/ws/huggingface")
async def websocket_huggingface(websocket: WebSocket):
"""
Dedicated WebSocket endpoint for HuggingFace services
Auto-subscribes to huggingface service
"""
connection = await ws_manager.connect(websocket)
connection.subscribe(ServiceType.HUGGINGFACE)
try:
while True:
data = await websocket.receive_json()
await ws_manager.handle_client_message(connection, data)
except WebSocketDisconnect:
logger.info(f"HuggingFace client disconnected: {connection.client_id}")
except Exception as e:
logger.error(f"HuggingFace WebSocket error: {e}")
finally:
await ws_manager.disconnect(connection.client_id)
@router.websocket("/ws/persistence")
async def websocket_persistence(websocket: WebSocket):
"""
Dedicated WebSocket endpoint for persistence service
Auto-subscribes to persistence service
"""
connection = await ws_manager.connect(websocket)
connection.subscribe(ServiceType.PERSISTENCE)
try:
while True:
data = await websocket.receive_json()
await ws_manager.handle_client_message(connection, data)
except WebSocketDisconnect:
logger.info(f"Persistence client disconnected: {connection.client_id}")
except Exception as e:
logger.error(f"Persistence WebSocket error: {e}")
finally:
await ws_manager.disconnect(connection.client_id)
@router.websocket("/ws/ai")
async def websocket_ai(websocket: WebSocket):
"""
Dedicated WebSocket endpoint for AI/ML operations (alias for HuggingFace)
Auto-subscribes to huggingface service
"""
connection = await ws_manager.connect(websocket)
connection.subscribe(ServiceType.HUGGINGFACE)
try:
while True:
data = await websocket.receive_json()
await ws_manager.handle_client_message(connection, data)
except WebSocketDisconnect:
logger.info(f"AI client disconnected: {connection.client_id}")
except Exception as e:
logger.error(f"AI WebSocket error: {e}")
finally:
await ws_manager.disconnect(connection.client_id)
|