feat : add history V1

Dockerfile

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+# 使用官方 Python 3.10 slim 映像
+FROM python:3.10-slim
+
+# 設定工作目錄
+WORKDIR /app
+
+# 安裝系統依賴
+RUN apt-get update && \
+    apt-get install -y git curl && \
+    rm -rf /var/lib/apt/lists/*
+
+# 複製 requirements.txt 並安裝 Python 套件
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 複製專案檔案
+COPY . .
+
+# 建立快取資料夾並開放權限
+RUN mkdir -p /app/.cache && chmod -R 777 /app/.cache
+
+# FastAPI 使用 uvicorn 啟動
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI, Request, Response, Form, Header, HTTPException, BackgroundTasks
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware  # 匯入 FastAPI 的 CORS 中介軟體
+
+from typing import Annotated # 推薦用於 Pydantic v2+
+import pandas as pd
+import os
+
+import json
+import io
+import os
+from datetime import datetime
+import uvicorn
+from dotenv import load_dotenv # 匯入 dotenv 以載入 .env 環境變數檔案
+
+STATIC_DIR = "static"
+
+os.environ["TORCH_HOME"] = "./.cache"
+os.environ["HF_HOME"] = "./.cache"
+os.environ["TRANSFORMERS_CACHE"] = "./.cache"
+os.makedirs("./.cache", exist_ok=True)
+os.makedirs(STATIC_DIR, exist_ok=True)
+
+load_dotenv()
+
+# =====================
+# 初始化 FastAPI
+# =====================
+app = FastAPI(title="Crypt Price")
+
+app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
+# 設定 CORS (跨來源資源共用)
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # 允許所有來源
+    allow_credentials=True,  # 允許憑證
+    allow_methods=["*"],  # 允許所有 HTTP 方法
+    allow_headers=["*"],  # 允許所有 HTTP 標頭
+)
+
+# =====================
+# API 路由
+# =====================
+@app.get("/")
+def root():
+    return {"message": "Crypt Price API ready!"}
+
+@app.get("/history")
+async def cryptohistory():
+    try:
+        print("### start /cryptohistory !!")
+
+        file_path = os.path.join("static", "eth_history.csv")
+
+        # 讀取 CSV
+        df = pd.read_csv(file_path)
+
+        # 標準化欄位名稱
+        df.columns = df.columns.str.lower()
+
+        # 轉換日期格式
+        df["date"] = pd.to_datetime(df["date"]).dt.strftime("%Y-%m-%d")
+
+        # 建立回傳資料
+        results = []
+        for idx, row in df.iterrows():
+            results.append({
+                "id": idx + 1,
+                "date": row["date"],
+                "price": float(row["price"]),
+                "volume": float(row["volume"])
+            })
+
+        return {
+            "status": "success",
+            "data": results
+        }
+
+    except Exception as e:
+        return JSONResponse(
+            status_code=500,
+            content={
+                "status": "error",
+                "message": str(e)
+            }
+        )
+    
+
+if __name__ == "__main__":
+    uvicorn.run("app:app", host="0.0.0.0", port=7860, reload=False)

requirements.txt

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+fastapi[all]
+uvicorn[standard]
+torch
+torchvision
+pillow
+numpy
+pretrainedmodels
+matplotlib
+pytorch-msssim
+opencv-python
+tqdm
+torchsummary
+requests
+google-genai
+langchain
+langchain-core
+langchain-google-genai
+python-dotenv
+line-bot-sdk