File size: 23,919 Bytes
90c6b42 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 | """
ATOM Communication Memory API
Comprehensive API for all communication apps with LanceDB ingestion
"""
from datetime import datetime, timedelta
import json
import logging
from typing import Any, Dict, List, Optional
from fastapi import APIRouter, BackgroundTasks, Body, HTTPException, Query
from integrations.atom_communication_apps_lancedb_integration import communication_ingestion_router
from integrations.atom_communication_ingestion_pipeline import (
CommunicationAppType,
CommunicationData,
IngestionConfig,
ingestion_pipeline,
memory_manager,
)
logger = logging.getLogger(__name__)
class AtomCommunicationMemoryAPI:
"""Main API for ATOM communication memory system"""
def __init__(self):
self.router = APIRouter(prefix="/api/atom/communication/memory", tags=["ATOM Communication Memory"])
self.setup_routes()
def setup_routes(self):
"""Setup comprehensive API routes"""
@self.router.get("/status")
async def get_memory_system_status():
"""Get complete memory system status"""
try:
# Initialize if needed
if not memory_manager.db:
memory_manager.initialize()
# Get ingestion stats
ingestion_stats = ingestion_pipeline.get_ingestion_stats()
# Get database stats
db_stats = {
"database_type": "LanceDB",
"database_path": str(memory_manager.db_path),
"tables": memory_manager.db.table_names(),
"total_records": 0
}
# Get record count
if memory_manager.connections_table:
records = memory_manager.connections_table.to_pandas()
db_stats["total_records"] = len(records)
# App distribution
app_dist = records["app_type"].value_counts().to_dict()
db_stats["app_distribution"] = app_dist
return {
"status": "active",
"timestamp": datetime.now().isoformat(),
"memory_system": "LanceDB Vector Database",
"total_apps_configured": len(ingestion_stats.get("configured_apps", [])),
"active_streams": ingestion_stats.get("active_streams", []),
"total_messages_ingested": ingestion_stats.get("total_messages", 0),
"database_statistics": db_stats,
"features": {
"real_time_ingestion": True,
"batch_processing": True,
"vector_search": True,
"text_search": True,
"metadata_storage": True,
"attachment_handling": True,
"embedding_support": True
}
}
except Exception as e:
logger.error(f"Error getting memory system status: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.get("/apps")
async def get_configured_memory_apps():
"""Get all apps configured for memory ingestion"""
try:
apps = []
for app_type in CommunicationAppType:
config = ingestion_pipeline.ingestion_configs.get(app_type.value)
app_info = {
"id": app_type.value,
"name": app_type.value.replace("_", " ").title(),
"type": "communication",
"memory_ingestion_enabled": config.get("enabled", False) if config else False,
"real_time_support": config.get("real_time", False) if config else False,
"batch_support": config.get("batch_size", 0) > 0 if config else False,
"attachment_support": config.get("ingest_attachments", False) if config else False,
"embedding_support": config.get("embed_content", False) if config else False
}
apps.append(app_info)
return {
"apps": apps,
"total": len(apps),
"timestamp": datetime.now().isoformat()
}
except Exception as e:
logger.error(f"Error getting configured apps: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.post("/ingest")
async def ingest_communication_message(
app_id: str = Query(..., description="Communication app ID"),
message_data: Dict[str, Any] = Body(..., description="Message data to ingest")
):
"""Ingest single communication message to memory"""
try:
# Validate app_id
CommunicationAppType(app_id)
# Initialize memory manager if needed
if not memory_manager.db:
memory_manager.initialize()
# Ingest message
success = ingestion_pipeline.ingest_message(app_id, message_data)
if success:
# Broadcast update to connected clients
import asyncio
from core.websockets import manager
# Create a background task for broadcasting to not block ingestion
asyncio.create_task(manager.broadcast_event(
"communication_stats",
"status_update",
{"last_ingested_app": app_id, "timestamp": datetime.now().isoformat()}
))
return {
"success": True,
"message": f"Message from {app_id} ingested successfully",
"app_id": app_id,
"message_id": message_data.get("id", "unknown"),
"timestamp": datetime.now().isoformat(),
"memory_system": "LanceDB"
}
else:
raise HTTPException(status_code=500, detail="Failed to ingest message")
except ValueError:
raise HTTPException(status_code=404, detail=f"Invalid app_id: {app_id}")
except Exception as e:
logger.error(f"Error ingesting message: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.post("/ingest/batch")
async def ingest_communication_batch(
app_id: str = Query(..., description="Communication app ID"),
messages: List[Dict[str, Any]] = Body(..., description="Batch of messages to ingest")
):
"""Ingest batch of communication messages to memory"""
try:
# Validate app_id
CommunicationAppType(app_id)
# Initialize memory manager if needed
if not memory_manager.db:
memory_manager.initialize()
# Ingest batch
success_count = 0
for message in messages:
if ingestion_pipeline.ingest_message(app_id, message):
success_count += 1
return {
"success": True,
"message": f"Batch ingestion completed for {app_id}",
"app_id": app_id,
"total_messages": len(messages),
"success_count": success_count,
"failure_count": len(messages) - success_count,
"success_rate": f"{(success_count / len(messages)) * 100:.1f}%",
"timestamp": datetime.now().isoformat(),
"memory_system": "LanceDB"
}
except ValueError:
raise HTTPException(status_code=404, detail=f"Invalid app_id: {app_id}")
except Exception as e:
logger.error(f"Error ingesting batch: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.get("/search")
async def search_memory(
query: str = Query(..., description="Search query"),
app_id: Optional[str] = Query(None, description="Filter by app ID"),
limit: int = Query(10, ge=1, le=100, description="Result limit"),
time_start: Optional[str] = Query(None, description="Start date (ISO format)"),
time_end: Optional[str] = Query(None, description="End date (ISO format)"),
tag: Optional[str] = Query(None, description="Filter by tag (e.g., sales, project)")
):
"""Search memory with various filters"""
try:
# Initialize memory manager if needed
if not memory_manager.db:
memory_manager.initialize()
# Build search results
if time_start and time_end:
# Time-based search
start_dt = datetime.fromisoformat(time_start)
end_dt = datetime.fromisoformat(time_end)
results = memory_manager.get_communications_by_timeframe(start_dt, end_dt)
# Filter by app if specified
if app_id:
results = [r for r in results if r.get("app_type") == app_id]
# Filter by content query
if query:
results = [r for r in results if query.lower() in r.get("content", "").lower()]
# Filter by tag if specified
if tag:
results = [r for r in results if tag in r.get("tags", [])]
else:
# Regular search
results = memory_manager.search_communications(query, limit, app_id, tag)
return {
"success": True,
"query": query,
"app_filter": app_id,
"tag_filter": tag,
"time_range": {"start": time_start, "end": time_end} if time_start or time_end else None,
"limit": limit,
"total_results": len(results),
"results": results,
"timestamp": datetime.now().isoformat(),
"memory_system": "LanceDB"
}
except ValueError as e:
raise HTTPException(status_code=400, detail=f"Invalid date format: {str(e)}")
except Exception as e:
logger.error(f"Error searching memory: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.get("/communications/{app_id}")
async def get_app_communications(
app_id: str,
limit: int = Query(50, ge=1, le=1000, description="Result limit"),
time_start: Optional[str] = Query(None, description="Start date (ISO format)"),
time_end: Optional[str] = Query(None, description="End date (ISO format)")
):
"""Get communications by app type"""
try:
# Validate app_id
CommunicationAppType(app_id)
# Initialize memory manager if needed
if not memory_manager.db:
memory_manager.initialize()
# Get communications
if time_start and time_end:
# Time-based search
start_dt = datetime.fromisoformat(time_start)
end_dt = datetime.fromisoformat(time_end)
all_results = memory_manager.get_communications_by_timeframe(start_dt, end_dt)
results = [r for r in all_results if r.get("app_type") == app_id]
else:
# Regular app-based search
results = memory_manager.get_communications_by_app(app_id, limit)
return {
"success": True,
"app_id": app_id,
"app_name": app_id.replace("_", " ").title(),
"limit": limit,
"time_range": {"start": time_start, "end": time_end} if time_start or time_end else None,
"total_results": len(results),
"communications": results,
"timestamp": datetime.now().isoformat(),
"memory_system": "LanceDB"
}
except ValueError:
raise HTTPException(status_code=404, detail=f"Invalid app_id: {app_id}")
except Exception as e:
logger.error(f"Error getting communications: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.get("/analytics")
async def get_memory_analytics(
time_start: Optional[str] = Query(None, description="Start date (ISO format)"),
time_end: Optional[str] = Query(None, description="End date (ISO format)")
):
"""Get memory analytics and statistics"""
try:
# Initialize memory manager if needed
if not memory_manager.db:
memory_manager.initialize()
# Get base analytics
stats = ingestion_pipeline.get_ingestion_stats()
# Get database records for analysis
all_records = []
if memory_manager.connections_table:
df = memory_manager.connections_table.to_pandas()
all_records = df.to_dict('records')
# Apply time filters if specified
if time_start and time_end:
start_dt = datetime.fromisoformat(time_start)
end_dt = datetime.fromisoformat(time_end)
filtered_records = [
r for r in all_records
if start_dt <= datetime.fromisoformat(r["timestamp"]) <= end_dt
]
else:
filtered_records = all_records
# Generate analytics
analytics = {
"summary": {
"total_messages": len(filtered_records),
"unique_apps": len(set(r.get("app_type") for r in filtered_records)),
"date_range": {
"start": time_start,
"end": time_end
}
},
"app_distribution": {},
"direction_distribution": {"inbound": 0, "outbound": 0, "internal": 0},
"priority_distribution": {},
"status_distribution": {},
"timeline_data": {}
}
# Analyze records
thread_map = {}
total_inbound = 0
total_outbound = 0
for record in filtered_records:
# App distribution
app_type = record.get("app_type", "unknown")
analytics["app_distribution"][app_type] = analytics["app_distribution"].get(app_type, 0) + 1
# Direction distribution
direction = record.get("direction", "unknown")
if direction in analytics["direction_distribution"]:
analytics["direction_distribution"][direction] += 1
if direction == "inbound":
total_inbound += 1
elif direction == "outbound":
total_outbound += 1
# Priority distribution
priority = record.get("priority", "normal")
analytics["priority_distribution"][priority] = analytics["priority_distribution"].get(priority, 0) + 1
# Status distribution
status = record.get("status", "unknown")
analytics["status_distribution"][status] = analytics["status_distribution"].get(status, 0) + 1
# Timeline data (by day)
if "timestamp" in record:
try:
# Parse timestamp
ts_str = record["timestamp"]
if isinstance(ts_str, datetime):
ts = ts_str
else:
ts = datetime.fromisoformat(ts_str)
record_date = ts.date().isoformat()
analytics["timeline_data"][record_date] = analytics["timeline_data"].get(record_date, 0) + 1
# Group by thread for response time calc
# Parse metadata to find thread_id
thread_id = None
try:
metadata_str = record.get("metadata", "{}")
if isinstance(metadata_str, str):
metadata = json.loads(metadata_str)
else:
metadata = metadata_str
thread_id = metadata.get("thread_id")
except Exception as e:
pass
# Fallback grouping key if no thread_id
if not thread_id:
# Use subject as backup grouping if available, else just don't group
subject = record.get("subject")
if subject:
thread_id = f"subj_{subject}"
else:
thread_id = f"ungrouped_{record['id']}"
if thread_id:
if thread_id not in thread_map:
thread_map[thread_id] = []
thread_map[thread_id].append({
"ts": ts,
"direction": direction
})
except Exception as e:
logger.error(f"Error processing record for analytics: {e}")
pass
# Calculate Response Rate
response_rate = 0
if total_inbound > 0:
response_rate = min(100, (total_outbound / total_inbound) * 100)
# Calculate Avg Response Time
total_response_time_seconds = 0
response_count = 0
for thread_id, messages in thread_map.items():
# Sort by timestamp
sorted_msgs = sorted(messages, key=lambda x: x["ts"])
# Find Inbound -> Outbound pairs
last_inbound_time = None
for msg in sorted_msgs:
if msg["direction"] == "inbound":
last_inbound_time = msg["ts"]
elif msg["direction"] == "outbound" and last_inbound_time:
# Found a response
diff = (msg["ts"] - last_inbound_time).total_seconds()
if diff > 0: # Sanity check
total_response_time_seconds += diff
response_count += 1
last_inbound_time = None # Reset
avg_response_time_str = "0m"
if response_count > 0:
avg_seconds = total_response_time_seconds / response_count
if avg_seconds < 60:
avg_response_time_str = f"{int(avg_seconds)}s"
elif avg_seconds < 3600:
avg_response_time_str = f"{int(avg_seconds / 60)}m"
elif avg_seconds < 86400:
avg_response_time_str = f"{int(avg_seconds / 3600)}h"
else:
avg_response_time_str = f"{int(avg_seconds / 86400)}d"
analytics["performance"] = {
"response_rate": round(response_rate, 1),
"avg_response_time": avg_response_time_str,
"total_responses": response_count
}
return {
"success": True,
"analytics": analytics,
"ingestion_stats": stats,
"timestamp": datetime.now().isoformat(),
"memory_system": "LanceDB"
}
except ValueError as e:
raise HTTPException(status_code=400, detail=f"Invalid date format: {str(e)}")
except Exception as e:
logger.error(f"Error getting analytics: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@self.router.post("/configure")
async def configure_app_memory(
app_id: str,
config: IngestionConfig = Body(..., description="Memory ingestion configuration")
):
"""Configure memory ingestion for specific app"""
try:
# Validate app_id
app_type = CommunicationAppType(app_id)
# Configure app
ingestion_pipeline.configure_app(app_type, config)
return {
"success": True,
"message": f"Memory ingestion configured for {app_id}",
"app_id": app_id,
"app_name": app_id.replace("_", " ").title(),
"configuration": config.__dict__,
"timestamp": datetime.now().isoformat()
}
except ValueError:
raise HTTPException(status_code=404, detail=f"Invalid app_id: {app_id}")
except Exception as e:
logger.error(f"Error configuring app: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
def get_router(self):
"""Get the configured router"""
return self.router
# Create global instance
atom_memory_api = AtomCommunicationMemoryAPI()
atom_memory_router = atom_memory_api.get_router()
# Export for main app
__all__ = [
'AtomCommunicationMemoryAPI',
'atom_memory_api',
'atom_memory_router'
]
|