用 OpenCode + Gemini 在终端里让 AI 帮你审代码、重构逻辑

# 安装 OpenCode（macOS / Linux）
curl -fsSL https://opencode.ai/install.sh | bash

# 或者用 Go 直接编译
go install github.com/opencode-ai/opencode@latest

# 设置 Gemini API Key
export GOOGLE_API_KEY="你的-gemini-api-key-here"

# 在项目目录启动
cd ~/projects/my-python-app
opencode

// ~/.config/opencode/config.json
{
  "provider": {
    "google": {
      "apiKey": "你的-gemini-api-key-here"
    }
  },
  "model": "gemini-2.5-flash"
}

import csv
from collections import defaultdict

def load_data(path):
    result = []
    with open(path, 'r') as f:
        reader = csv.DictReader(f)
        for row in reader:
            if row['status'] != 'active':
                continue
            if row['amount'] == '' or row['amount'] is None:
                row['amount'] = 0
            else:
                row['amount'] = float(row['amount'])
            result.append(row)
    return result

def summarize(data):
    totals = defaultdict(float)
    for row in data:
        totals[row['category']] += row['amount']
    return totals

> /add data_loader.py

> 这段代码有几个问题：amount 字段的空值处理不安全，
  summarize 函数没有处理 category 为空的情况，
  load_data 里缺少异常处理。请审查并给出重构版本，
  要求：用 dataclass 替代裸 dict，加上类型标注，
  补上异常处理和边界情况。

import csv
from collections import defaultdict
from dataclasses import dataclass
from pathlib import Path
from typing import Optional

@dataclass
class Record:
    category: str
    amount: float
    status: str

class DataLoadError(Exception):
    pass

def load_data(path: Path) -> list[Record]:
    if not path.exists():
        raise DataLoadError(f"File not found: {path}")

    records: list[Record] = []
    try:
        with open(path, "r", encoding="utf-8") as f:
            reader = csv.DictReader(f)
            for row in reader:
                if row.get("status", "").strip().lower() != "active":
                    continue
                category = row.get("category", "uncategorized").strip()
                amount = _parse_amount(row.get("amount"))
                records.append(Record(category=category, amount=amount, status="active"))
    except csv.Error as e:
        raise DataLoadError(f"CSV parsing failed: {e}") from e

    return records

def _parse_amount(raw: Optional[str]) -> float:
    if raw is None or raw.strip() == "":
        return 0.0
    try:
        return float(raw.strip())
    except ValueError:
        return 0.0

def summarize(records: list[Record]) -> dict[str, float]:
    totals: dict[str, float] = defaultdict(float)
    for r in records:
        totals[r.category] += r.amount
    return dict(totals)

> 把重构版本写入 data_loader.py

> /add src/core/engine.py
> 用中文解释这个文件的核心逻辑，列出关键函数和调用关系

> /add data_loader.py
> 为 load_data 和 summarize 写 pytest 测试，覆盖正常路径、
  空文件、字段缺失、amount 为非数字字符串的情况

> /add tests/test_api.py src/api/handlers.py
> test_api.py 里第 3 个测试为什么失败？对比 handlers.py 找原因