Adaptyv 使用示例

# 代码示例 ## 设置与身份验证 ### 基础设置 python import os import requests from dotenv import load_dotenv # 加载环境变量 load_dotenv() # 配置 API_KEY = os.getenv("ADAPTYV_API_KEY") BASE_URL = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws" # 标准请求头 HEADERS = { "Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json" } def check_api_connection(): """验证 API 连接和凭据""" try: response = requests.get(f"{BASE_URL}/organization/credits", headers=HEADERS) response.raise_for_status() print("✓ API 连接成功") print(f" 剩余额度: {response.json()['balance']}") return True except requests.exceptions.HTTPError as e: print(f"✗ API 身份验证失败: {e}") return False ### 环境设置 创建 `.env` 文件： bash ADAPTYV_API_KEY=your_api_key_here 安装依赖： bash uv pip install requests python-dotenv ## 实验提交 ### 提交单条序列 python def submit_single_experiment(sequence, experiment_type="binding", target_id=None): """ 提交单条蛋白质序列进行测试 参数: sequence: 氨基酸序列字符串 experiment_type: 实验类型 (binding, expression, thermostability, enzyme_activity) target_id: 结合分析的可选目标标识符 返回: 实验 ID 和状态 """ # 格式化为 FASTA fasta_content = f">protein_sequencen{sequence}n" payload = { "sequences": fasta_content, "experiment_type": experiment_type } if target_id: payload["target_id"] = target_id response = requests.post( f"{BASE_URL}/experiments", headers=HEADERS, json=payload ) response.raise_for_status() result = response.json() print(f"✓ 实验已提交") print(f" 实验 ID: {result['experiment_id']}") print(f" 状态: {result['status']}") print(f" 预计完成时间: {result['estimated_completion']}") return result # 使用示例 sequence = "MKVLWAALLGLLGAAAAFPAVTSAVKPYKAAVSAAVSKPYKAAVSAAVSKPYK" experiment = submit_single_experiment(sequence, experiment_type="expression") ### 批量提交序列 python def submit_batch_experiment(sequences_dict, experiment_type="binding", metadata=None): """