Add bitcoin price predictor for external tool server

servers/bitcoin-price-predictor/README.md

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+# ₿ Bitcoin Price Predictor Server
+
+Bitcoin price data analysis API server ⚡️
+
+📦 Built with:
+⚡️ FastAPI • 📊 pandas • 🐍 Python
+
+---
+
+## 📁 Data Requirements
+
+This server requires `btcusd_1-min_data.csv` to function properly.
+
+**Download from**: https://www.kaggle.com/datasets/mczielinski/bitcoin-historical-data
+
+Place the CSV file in this directory before running the server.
+
+---
+
+## 🚀 Quickstart
+
+```bash
+git clone https://github.com/open-webui/openapi-servers
+cd openapi-servers/servers/bitcoin-price-predictor
+
+# Download btcusd_1-min_data.csv and place it here
+pip install -r requirements.txt
+uvicorn main:app --host 0.0.0.0 --reload
+```
+
+You're live. 📈💰
+
+---
+
+## 🛠️ Available Tools
+
+- `get_price_by_date`: Get Bitcoin price averages for a specific date
+- `get_stat_by_date_range`: Get price statistics for a date range  
+- `get_trend_by_date_range`: Get daily price trends (max 30 days)
+- `get_current_date`: Get current date
+
+🖥️ API Docs: http://localhost:8000/docs

servers/bitcoin-price-predictor/main.py

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+from fastapi import FastAPI, HTTPException
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel, Field
+
+import pandas as pd
+
+from datetime import datetime
+
+app = FastAPI(
+    title="Bitcoin Price Predictor",
+    description="Bitcoin Price Predictor",
+    version="1.0.0",
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+bitcoin_price_data = pd.read_csv("btcusd_1-min_data.csv")
+bitcoin_price_data["Timestamp"] = pd.to_datetime(
+    bitcoin_price_data["Timestamp"], unit='s')
+
+
+class BitcoinPriceQueryForm(BaseModel):
+    date: str = Field(
+        ..., description="This is desired date time for bitcoin price and time format is YYYY-MM-DD (e.g., 2024-01-01)"
+    )
+
+
+class BitcoinPriceTrendQueryForm(BaseModel):
+    start_date: str = Field(
+        ..., description="This is desired start date time for bitcoin price trend and time format is YYYY-MM-DD (e.g., 2023-01-01)"
+    )
+    end_date: str = Field(
+        ..., description="This is desired end date time for bitcoin price trend and time format is YYYY-MM-DD (e.g., 2024-01-01)"
+    )
+
+
+class BitcoinPriceStatQueryForm(BaseModel):
+    start_date: str = Field(
+        ..., description="This is desired start date time for bitcoin price state and time format is YYYY-MM-DD (e.g., 2023-01-01)"
+    )
+    end_date: str = Field(
+        ..., description="This is desired end date time for bitcoin price state and time format is YYYY-MM-DD (e.g., 2024-01-01)"
+    )
+
+
+@app.post("/get_price_by_date", summary="Get Bitcoin price by date")
+async def get_price_by_date(form_data: BitcoinPriceQueryForm):
+    print(form_data)
+    start_date = pd.to_datetime(form_data.date)
+    end_date = start_date + pd.Timedelta(days=1)
+
+    date_query_result = bitcoin_price_data[(
+        bitcoin_price_data["Timestamp"] >= start_date) & (bitcoin_price_data["Timestamp"] < end_date)]
+
+    if date_query_result.empty:
+        raise HTTPException(
+            status_code=404, detail="No data found for the specified date")
+
+    date_query_result_mean = date_query_result.mean(
+        numeric_only=True)
+    return date_query_result_mean.to_dict()
+
+
+@app.post("/get_stat_by_date_range", summary="Get Bitcoin price status by date range")
+async def get_stat_by_date_range(form_data: BitcoinPriceStatQueryForm):
+    start_date = pd.to_datetime(form_data.start_date)
+    end_date = pd.to_datetime(form_data.end_date)
+    date_query_result = bitcoin_price_data[(
+        bitcoin_price_data["Timestamp"] >= start_date) & (bitcoin_price_data["Timestamp"] < end_date)]
+
+    if date_query_result.empty:
+        raise HTTPException(
+            status_code=404, detail="No data found for the specified date range")
+
+    highest_price = date_query_result["High"].max()
+    lowest_price = date_query_result["Low"].min()
+    average_price = date_query_result["Close"].mean()
+
+    return {
+        "highest_price": highest_price,
+        "lowest_price": lowest_price,
+        "average_price": average_price
+    }
+
+
+@app.post("/get_trend_by_date_range", summary="Get Bitcoin price status by date range")
+async def get_trend_by_date_range(form_data: BitcoinPriceTrendQueryForm):
+    start_date = pd.to_datetime(form_data.start_date)
+    end_date = pd.to_datetime(form_data.end_date)
+    date_difference = (end_date - start_date).days
+
+    if date_difference > 30:
+        raise HTTPException(
+            status_code=400, detail="Date range ovred 30 days")
+
+    date_query_result = bitcoin_price_data[(
+        bitcoin_price_data["Timestamp"] >= start_date) & (bitcoin_price_data["Timestamp"] < end_date)]
+
+    if date_query_result.empty:
+        raise HTTPException(
+            status_code=404, detail="No data found for the specified date range")
+
+    daily_data = date_query_result.resample('D', on='Timestamp').agg({
+        'Open': 'first',
+        'High': 'max',
+        'Low': 'min',
+        'Close': 'last',
+        'Volume': 'sum'
+    })
+
+    daily_data = daily_data.dropna()
+
+    result = {
+        'Open': daily_data['Open'].tolist(),
+        'High': daily_data['High'].tolist(),
+        'Low': daily_data['Low'].tolist(),
+        'Close': daily_data['Close'].tolist(),
+        'Volume': daily_data['Volume'].tolist()
+    }
+
+    return result
+
+
+@app.get("/get_current_date", summary="Get current date")
+async def get_current_date():
+    return datetime.now().strftime("%Y-%m-%d")

servers/bitcoin-price-predictor/requirements.txt

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+fastapi
+uvicorn[standard]
+pydantic
+python-multipart
+pandas