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from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
import uvicorn
import requests
import pandas as pd
import numpy as np
from pattern_analyzer import PatternAnalyzer
from indicator_analyzer import IndicatorAnalyzer
from chart_maker import ChartMaker
from test_data import test_data
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/analyze/{symbol}")
async def analyze_patterns(symbol: str, timeframe: str = "1D"):
try:
# Fetch OHLCV data
candle_response = requests.get(f"http://localhost:5000/fetch_candles?symbol={symbol}&timeframe={timeframe}")
ohlcv_data = candle_response.json()
# Create DataFrame with correct column structure
df = pd.DataFrame(ohlcv_data)
df = df.rename(columns={'time': 'timestamp'})
# Initialize analyzers
pattern_analyzer = PatternAnalyzer()
indicator_analyzer = IndicatorAnalyzer()
chart_maker = ChartMaker()
# Get analysis results
patterns = pattern_analyzer.analyze_data(df)
indicators = indicator_analyzer.analyze_indicators(df)
pattern_charts = chart_maker.create_pattern_chart(df, patterns)
return {
"patterns": patterns,
"indicators": indicators,
"charts": pattern_charts,
"ohlcv_data": ohlcv_data
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@app.get("/")
async def root():
return {
"status": "online",
"service": "Pattern Analysis API",
"endpoints": {
"analyze": "/analyze/{symbol}",
"docs": "/docs",
"health": "/health"
}
}
if __name__ == "__main__":
uvicorn.run(app, host="127.0.0.1", port=8000)
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