File size: 7,526 Bytes
38980bb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
330c7d5
38980bb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import uvicorn
import logging
import threading
import time
import asyncio
from typing import Dict, Optional
import os
# Import core components
from components.search.search import perform_search, get_all_events, initialize_embeddings, refresh_embeddings
from components.Event_ai.crew import EventContentCrew

# Import MCP server
from mcp_server import SimpleMCPServer

# -----------------------------
# Logging
# -----------------------------
logger = logging.getLogger(__name__)
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)

# -----------------------------
# FastAPI app
# -----------------------------
app = FastAPI(
    title="EventHub API",
    description="Semantic Event Search, Event Creation, and AI-assisted tools API",
    version="1.1.0",
    docs_url="/docs"
)

# -----------------------------
# Middleware
# -----------------------------
app.add_middleware(
    CORSMiddleware,
    allow_origins=["https://eventhu.vercel.app/","https://event-hub0.vercel.app","http://localhost:3000"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

_mcp_server_instance: Optional[SimpleMCPServer] = None
_mcp_server_started = False

# -----------------------------
# Models
# -----------------------------
class SearchRequest(BaseModel):
    query: str
    user_id: str = "default"

class EventInput(BaseModel):
    description: str
    title: str

# -----------------------------
# Global state tracking
# -----------------------------
_mcp_server_started = False
_mcp_server_instance: Optional[SimpleMCPServer] = None

# -----------------------------
# Background task for periodic refresh
# -----------------------------
def periodic_refresh():
    """Refresh embeddings every 30 minutes"""
    logger.info("→ Starting periodic refresh thread")
    
    while True:
        try:
            time.sleep(1800)  # 30 minutes
            logger.info("→ Starting periodic embedding refresh...")
            refresh_embeddings()
            logger.info("✓ Embeddings refreshed successfully")
        except Exception as e:
            logger.error(f"✗ Error during periodic refresh: {e}")

# -----------------------------
# Startup
# -----------------------------
@app.on_event("startup")
async def startup_event():
    global _mcp_server_started, _mcp_server_instance
    
    logger.info("→ Starting EventHub application")
    
    # Initialize embeddings asynchronously
    try:
        logger.info("→ Initializing embeddings...")
        loop = asyncio.get_event_loop()
        await loop.run_in_executor(None, initialize_embeddings)
        logger.info("✓ Embeddings initialized successfully")
    except Exception as e:
        logger.error(f"✗ Error initializing embeddings: {e}")
        logger.warning("→ Continuing without embeddings (search functionality may be limited)")

    # Start background refresh thread
    try:
        refresh_thread = threading.Thread(target=periodic_refresh, daemon=True)
        refresh_thread.start()
        logger.info("✓ Background refresh thread started")
    except Exception as e:
        logger.error(f"✗ Failed to start refresh thread: {e}")

    # Launch MCP server instance
    try:
        if not _mcp_server_started:
            logger.info("→ Starting MCP server instance...")
            _mcp_server_instance = SimpleMCPServer()
            _mcp_server_started = True
            logger.info("✓ MCP server instance ready")
    except Exception as e:
        logger.error(f"✗ Failed to start MCP server: {e}")

# -----------------------------
# Routes
# -----------------------------
@app.get("/")
async def health_check():
    return {"status": "healthy", "message": "EventHub API is running"}

@app.post("/search")
async def search_endpoint(request: SearchRequest):
    try:
        results = perform_search(request.query, request.user_id)
        if not results:
            return {"results": [], "message": "No matching events found"}
        return {"results": results}
    except Exception as e:
        logger.error(f"Search endpoint error: {e}")
        raise HTTPException(status_code=500, detail="Search failed")

@app.post("/generate-event")
def generate_event(event: EventInput):
    try:
        crew = EventContentCrew()
        result = crew.eventcrew().kickoff(
            inputs={"event_description": event.description, "title": event.title}
        )

        # Access tasks_output safely
        tasks = getattr(result, "tasks_output", [])
        if tasks:
            last_task = tasks[-1]
            # Use vars() to convert TaskOutput object to dict
            last_task_dict = vars(last_task) if hasattr(last_task, "__dict__") else {}
            proposals = last_task_dict.get("json_dict", {}).get("proposals", [])
        else:
            proposals = getattr(result, "proposals", [])

        return {"proposals": proposals}

    except Exception as e:
        logger.error(f"Generate-event error: {e}")
        raise HTTPException(status_code=500, detail="Event generation failed")


@app.post("/refresh-embeddings")
async def manual_refresh():
    try:
        collection = refresh_embeddings()
        return {"status": "success", "message": "Embeddings refreshed successfully","collection": collection}
    except Exception as e:
        logger.error(f"Manual refresh error: {e}")
        raise HTTPException(status_code=500, detail="Embedding refresh failed")


# -----------------------------
# MCP HTTP Bridge Routes
# -----------------------------
@app.post("/mcp/tools/call")
async def mcp_tools_call(request: Dict):
    global _mcp_server_instance
    
    if not _mcp_server_instance:
        logger.error("✗ MCP server instance not available")
        raise HTTPException(status_code=503, detail="MCP server not initialized")
    
    logger.info(f"→ MCP bridge request: {request.get('method', 'unknown')}")
    
    try:
        response = await _mcp_server_instance.handle_request(request)
        logger.info("✓ MCP bridge request completed")
        return response
    except Exception as e:
        logger.error(f"✗ MCP bridge error: {e}")
        raise HTTPException(status_code=500, detail=f"MCP request failed: {str(e)}")

@app.post("/mcp/tools/list") 
async def mcp_tools_list():
    global _mcp_server_instance
    
    if not _mcp_server_instance:
        logger.error("✗ MCP server instance not available")
        raise HTTPException(status_code=503, detail="MCP server not initialized")
    
    logger.info("→ MCP tools list request")
    
    try:
        request = {"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}
        response = await _mcp_server_instance.handle_request(request)
        logger.info("✓ MCP tools list completed")
        return response
    except Exception as e:
        logger.error(f"✗ MCP tools list error: {e}")
        raise HTTPException(status_code=500, detail=f"MCP tools list failed: {str(e)}")

if __name__ == "__main__":
    logger.info("→ Starting EventHub server on http://localhost:8000")
    logger.info("→ API documentation available at http://localhost:8000/docs")
    
    try:
        port = int(os.getenv("PORT", 8000))
        uvicorn.run(app, host="0.0.0.0", port=port, reload=True)
    except Exception as e:
        logger.error(f"✗ Failed to start server: {e}")
        raise