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```python
from fastapi import APIRouter, UploadFile, File, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import Optional, List
from datetime import datetime
import uuid
from .models_registry import ModelsRegistry
from .signal_engine import SignalEngine
router = APIRouter()
# Initialize models and engine
models = ModelsRegistry()
engine = SignalEngine(models)
class MarketRequest(BaseModel):
pair: str
timeframe: str
exchange: Optional[str] = "binance"
class SignalResponse(BaseModel):
direction: str # "LONG", "SHORT", or "NEUTRAL"
entry_zone: List[float]
stop_loss: float
take_profit_levels: List[float]
timeframe_inferred: str
confidence: float # 0-100
explanation: str
signal_id: str
timestamp: datetime
class WebhookTestRequest(BaseModel):
webhook_url: Optional[str]
signal: SignalResponse
@router.post("/analyze/screenshot", response_model=SignalResponse)
async def analyze_screenshot(file: UploadFile = File(...)):
try:
# Generate a unique ID for this signal
signal_id = str(uuid.uuid4())
# In a real implementation, we would:
# 1. Process the image with vision models
# 2. Extract text with OCR if needed
# 3. Analyze with LLM
# For now, return a mock response
return SignalResponse(
direction="LONG",
entry_zone=[42000, 42500],
stop_loss=41500,
take_profit_levels=[43500, 44500],
timeframe_inferred="1h",
confidence=75.5,
explanation="The chart shows a bullish breakout from a descending wedge pattern with increasing volume. Key support at 41,500 and first target at 43,500.",
signal_id=signal_id,
timestamp=datetime.now()
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.post("/analyze/market", response_model=SignalResponse)
async def analyze_market(request: MarketRequest):
try:
signal_id = str(uuid.uuid4())
# In a real implementation, we would:
# 1. Fetch market data
# 2. Analyze with time-series models
# 3. Combine with technical indicators
return SignalResponse(
direction="SHORT" if "BTC" in request.pair else "NEUTRAL",
entry_zone=[2850, 2900] if "ETH" in request.pair else [42000, 42500],
stop_loss=2950 if "ETH" in request.pair else 43500,
take_profit_levels=[2700, 2600] if "ETH" in request.pair else [40000, 39000],
timeframe_inferred=request.timeframe,
confidence=68.2,
explanation=f"Market shows overbought conditions on {request.timeframe} timeframe with RSI above 70. Expecting a pullback to support levels.",
signal_id=signal_id,
timestamp=datetime.now()
)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/history", response_model=List[SignalResponse])
async def get_history(limit: int = 20):
# In a real implementation, this would fetch from a database
return []
@router.post("/signals/webhook-test")
async def test_webhook(request: WebhookTestRequest):
# In a real implementation, this would send to the webhook URL
return {"status": "success", "message": "Webhook test successful (mock response)"}
``` |