feat(uniswap-v2): add support for uniswap v2 positions

uniswap-v2/merge.py

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+import os
+import csv
+from decimal import Decimal
+from datetime import datetime
+
+
+def merge_portfolio_files():
+    data_dir = "data"
+    if not os.path.exists(data_dir):
+        print(f"目录 {data_dir} 不存在")
+        return
+
+    portfolio_files = []
+    for filename in os.listdir(data_dir):
+        if filename.startswith("portfolio_") and filename.endswith(".csv"):
+            portfolio_files.append(filename)
+
+    if not portfolio_files:
+        print("未找到portfolio_*.csv文件")
+        return
+
+    for input_filename in portfolio_files:
+        output_filename = input_filename.replace("portfolio_", "merged_")
+        input_path = os.path.join(data_dir, input_filename)
+        output_path = os.path.join(data_dir, output_filename)
+
+        try:
+            process_single_file(input_path, output_path)
+            print(f"成功处理: {input_filename} -> {output_filename}")
+        except Exception as e:
+            print(f"处理文件 {input_filename} 时出错: {e}")
+
+
+def process_single_file(input_path, output_path):
+    date_data = {}  # 格式: {日期: {'amount': 净额总和, 'last_time': 最后时间}}
+
+    with open(input_path, "r", encoding="utf-8") as infile:
+        reader = csv.DictReader(infile)
+
+        if not all(field in reader.fieldnames for field in ["日期", "类型", "净额"]):
+            raise ValueError("CSV文件格式不正确，需要的列：日期,类型,净额")
+
+        for row in reader:
+            full_datetime_str = row["日期"]
+            try:
+                full_datetime = datetime.fromisoformat(
+                    full_datetime_str.replace("Z", "+00:00")
+                )
+            except ValueError:
+                print(f"警告：跳过无效的日期格式: {full_datetime_str}")
+                continue
+
+            date_only = full_datetime.date().isoformat()
+
+            try:
+                amount = Decimal(row["净额"])
+            except ValueError:
+                print(f"警告：跳过无效的净额值: {row['净额']}")
+                continue
+
+            if date_only in date_data:
+                date_data[date_only]["amount"] += amount
+                if full_datetime > date_data[date_only]["last_time"]:
+                    date_data[date_only]["last_time"] = full_datetime
+            else:
+                date_data[date_only] = {"amount": amount, "last_time": full_datetime}
+
+    sorted_dates = sorted(date_data.keys())
+
+    with open(output_path, "w", encoding="utf-8", newline="") as outfile:
+        writer = csv.writer(outfile)
+        writer.writerow(["日期", "类型", "净额"])
+
+        for date in sorted_dates:
+            data = date_data[date]
+            last_datetime_str = data["last_time"].strftime("%Y-%m-%dT%H:%M")
+            writer.writerow([last_datetime_str, "利息", data['amount']])
+
+
+def main():
+    """主函数"""
+    print("开始处理portfolio文件...")
+    merge_portfolio_files()
+    print("处理完成！")
+
+
+if __name__ == "__main__":
+    main()