import requests


def retrieval_from_knowledge_base(
        query: str,
        topk: int
        ) -> str:
    """
    Retrieval for knowledge from the knowledge base based on the specified query and returns the topk results.
    
    Parameters:
    query (str): The query for knowledge retrieval.
    topk (int): The number of top results to return, default is 3.
    
    Returns:
    str: The result of the knowledge retrieval in JSON format.
    """
    url = 'http://100.85.52.31:7080/v1/chat-messages'
    headers = {
        'Authorization': f'Bearer app-uJgo3TQKcS1O9PMCDHko71Fp',
        'Content-Type': 'application/json'
    }
    data = {
        "inputs": {"topK": topk},
        "query": query,
        "response_mode": "blocking",
        "user": "tangger",
        "files": []
    }

    response = requests.post(url, headers=headers, json=data)

    if response.status_code == 524:
        print("Server is not responding. Please try again later. Maybe GPU was down in the container.")
        return None

    try:
        result = response.json()
    except ValueError:
        return [{"error": "Response is not in JSON format"}]

    useful_results = []
    try:
        answer = eval(result.get("answer", "[]"))
        for item in answer:
            metadata = item.get("metadata", {})
            useful_info = {
                "id": metadata.get("document_id"),
                "title": item.get("title"),
                "content": item.get("content"),
                "metadata": None,
                "embedding": None,
                "score": metadata.get("score")
            }
            useful_results.append(useful_info)
    except Exception as e:
        return [{"error": f"Error processing result: {e}", "status": "TERMINATE"}]
    if useful_results == []:
        useful_results = "NULL"
    return str(useful_results)

def search_from_oqmd_by_composition(composition: str) -> str:
        """
        Search materials from OQMD database by chemical composition.

        Args:
            composition (str): Chemical composition string. Example: "CsPbBr3"

        Returns:
            str: JSON string containing material data or error message
        """
        # 构建请求参数
        param = {
            'composition': composition
        }
        tool_endpoint = "http://100.84.94.73:8020"
        try:
            # 发送请求到/oqmd/search路由
            response = requests.get(
                tool_endpoint + "/oqmd/search",
                params=param
            )
            response.raise_for_status()
            return str(response.json()['data'])
        except requests.exceptions.RequestException as e:
            return f"Error: {str(e)}"


def scheme_convert_to_json():
    return """
        转换合成方案时，必须严格遵守如下预定义的JSON格式，每个JSON结构的字段必须填充完整，即使有些字段留空：
        ```json
        {
            "workflow": [
                {
                    "step_id": <step_number>,
                    "description": "<brief_description>",
                    "actions": [
                        {
                            "action_id": <action_number>,
                            "action_type": "<action_type>",
                            "materials": [{"name": "<material_name>", "amount": <amount>, "unit": "<unit>"}],
                            "containers": [{"type": "<container_type>", "capacity": "<capacity>", "unit": "<unit>", "additional_parameters": {"material_of_construction": "<material_type>", "shape": "<shape>"}}],
                            "equipment": [{"name": "<equipment_name>", "parameters": {"<param_name>": <param_value>, "<param_name>": <param_value>}}],
                            "output": "<action_output>"
                        }
                    ],
                    "dependencies": ["<previous_step_ids>"],
                    "step_output": "<step_output_identifier>"
                }
                ...
            ]
        }
        ```

        ### JSON结构字段说明
        1. workflow 类型: 数组; 说明: 包含所有步骤的列表; 限制: 每个步骤都是一个对象，且顺序重要。
        2. step_id 类型: 整数; 说明: 步骤的唯一标识符，用于区分不同的步骤; 限制: 必须唯一，不能重复。
        3. description 类型: 字符串; 说明: 对步骤的简要描述，说明步骤的目的或内容。限制: 描述应清晰简洁，避免冗长。
        4. actions 类型: 数组; 说明: 包含该步骤中所有动作的列表。限制: 每个动作都是一个对象，且顺序可能影响执行顺序。
        5. action_id 类型: 字符串; 说明: 动作的唯一标识符，用于区分不同的动作。限制: 在同一步骤内必须唯一。
        6. action_type 类型: 字符串; 说明: 动作的类型，例如 "add_material", "ultrasonicate", "centrifuge"。限制: 必须是预定义的类型之一。
        7. materials 类型: 数组; 说明: 使用的材料列表，每个材料包含名称、数量和单位。限制: 每个材料对象必须包含 "name", "amount", 和 "unit" 字段。
        8. containers 类型: 数组; 说明: 使用的容器列表，每个容器包含类型、容量、单位和附加参数。限制: 每个容器对象必须包含 "type", "capacity", 和 "unit" 字段，"additional_parameters" 为可选。
        9. equipment 类型: 数组; 说明: 使用的设备列表，每个设备包含名称和参数。限制: 每个设备对象必须包含 "name" 字段，"parameters" 为可选，根据设备需要填充。
        10. output 类型: 字符串; 说明: 动作的输出标识符，用于后续步骤的输入。限制: 标识符应唯一且有意义。
        11. dependencies 类型: 数组; 说明: 依赖的前一步骤的 "step_id" 列表。限制: 每个依赖项必须是有效的 "step_id"。
        12. step_output 类型: 字符串; 说明: 步骤的输出标识符，用于后续步骤的输入。限制: 标识符应唯一且有意义。
"""

def send_instruction_to_robot_platform():
    """从S3获取最新的json文件并返回其URL链接
    
    Returns:
        str: 最新json文件的预签名URL
    """
    import boto3
    from botocore.exceptions import NoCredentialsError
    
    # S3配置
    endpoint_url = "http://100.85.52.31:9000" or "https://s3-api.siat-mic.com"
    aws_access_key_id = "9bUtQL1Gpo9JB6o3pSGr"
    aws_secret_access_key = "1Qug5H73R3kP8boIHvdVcFtcb1jU9GRWnlmMpx0g"
    bucket_name = "temp"

    try:
        # 创建S3客户端
        s3 = boto3.client(
            's3',
            endpoint_url=endpoint_url,
            aws_access_key_id=aws_access_key_id,
            aws_secret_access_key=aws_secret_access_key
        )

        # 列出bucket中的所有json文件
        response = s3.list_objects_v2(
            Bucket=bucket_name,
            Prefix='',
            Delimiter='/'
        )

        # 过滤出json文件并按最后修改时间排序
        json_files = [
            obj for obj in response.get('Contents', [])
            if obj['Key'].endswith('.json')
        ]
        json_files.sort(key=lambda x: x['LastModified'], reverse=True)

        if not json_files:
            return "No JSON files found in S3 bucket"

        # 获取最新文件
        latest_file = json_files[0]
        
        # 生成预签名URL
        url = s3.generate_presigned_url(
            'get_object',
            Params={
                'Bucket': bucket_name,
                'Key': latest_file['Key']
            },
            ExpiresIn=3600  # URL有效期1小时
        )
        
        # 将内部URL转换为外部可访问URL
        external_url = url.replace("http://100.85.52.31:9000", "https://s3-api.siat-mic.com")
        
        # 发送URL到FastAPI服务器
        try:
            response = requests.post(
                "http://localhost:8030/receive",
                json={"url": external_url}
            )
            response.raise_for_status()
            return external_url
        except requests.exceptions.RequestException as e:
            return f"Error sending URL to server: {str(e)}"

    except NoCredentialsError:
        return "Credentials not available"
    except Exception as e:
        return f"Error: {str(e)}"


def upload_to_s3(json_data: str):
    import json
    import re
    import subprocess
    import sys
    import tempfile
    import datetime

    def install_boto3():
        try:
            # 检查 boto3 是否已安装
            import boto3
            print("boto3 已安装。")
        except ImportError:
            # 如果未安装，动态安装 boto3
            print("正在安装 boto3...")
            subprocess.check_call([sys.executable, "-m", "pip", "install", "boto3"])
            print("boto3 安装完成。")

    def handle_minio_upload(file_path: str, file_name: str) -> str:
        """统一处理MinIO上传"""
        import boto3
        try:
            client = boto3.client(
                's3',
                endpoint_url="http://100.85.52.31:9000" or "https://s3-api.siat-mic.com",
                aws_access_key_id="9bUtQL1Gpo9JB6o3pSGr",
                aws_secret_access_key="1Qug5H73R3kP8boIHvdVcFtcb1jU9GRWnlmMpx0g"
            )
            client.upload_file(file_path, "temp", file_name, ExtraArgs={"ACL": "private"})
            
            # 生成预签名 URL
            url = client.generate_presigned_url(
                'get_object',
                Params={'Bucket': "temp", 'Key': file_name},
                ExpiresIn=3600
            )
            return url.replace("http://100.85.52.31:9000" or "", "https://s3-api.siat-mic.com")
        
        except Exception as e:
            print(e)
            return e
        
    install_boto3()
    # 去掉可能存在的 ```json 和 ``` 标记
    json_data_cleaned = re.sub(r'```json|```', '', json_data).strip()
    try:
        # 尝试解析清理后的JSON数据
        data = json.loads(json_data_cleaned)
        # print("解析后的JSON数据:", data)
        with tempfile.NamedTemporaryFile(mode='w', delete=False) as temp_file:
            try:
                json.dump(data, temp_file, indent=4, ensure_ascii=False)
                temp_file.flush()  # 确保数据写入文件
                timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
                file_name = f"robot_expriment_results_{timestamp}.json"
                url = handle_minio_upload(temp_file.name, file_name)
                print(f"文件上传成功, 唯一链接为{url}, 请将该URL记下来并传递给机器人平台。")
            except Exception as e:
                print(f"写入临时文件或上传文件时出错: {e}")
                raise  # 重新抛出异常以便上层调用者处理
    except json.JSONDecodeError as e:
        print(f"JSON解析错误: {e}")
        raise  # 重新抛出异常以便上层调用者处理

def get_latest_exp_log():
    def get_uv_latest_file():
        import os
        import glob
        # UV数据缓存文件夹路径 (请将此路径修改为实际的文件夹路径)
        current_folder = os.path.dirname(os.path.abspath(__file__))
        folder_path = os.path.join(current_folder, 'data/UV/')

        # 查找文件夹中的所有 .wls 文件
        uv_files = sorted(glob.glob(os.path.join(folder_path, '*.[Tt][Xx][Tt]')))

        if not uv_files:
            res = f"ERROR: 缓存文件夹{current_folder}中没有找到任何UV文件"
            return res

        # 找到最新修改的文件
        latest_file = uv_files[-1]
        res = f"找到最新的UV数据文件: {latest_file}"
        
        return res
    
    def get_pl_latest_file():
        import os
        import glob

        current_folder = os.path.dirname(os.path.abspath(__file__))
        folder_path = os.path.join(current_folder, 'data/PL/')

        # 查找文件夹中的所有 .txt 或 .TXT 文件
        pl_files = sorted(glob.glob(os.path.join(folder_path, '*.[Tt][Xx][Tt]')))

        if not pl_files:
            res = f"ERROR: 缓存文件夹{current_folder}中没有找到任何PL文件"
            return res

        # 找到最新修改的文件
        latest_file = pl_files[-1]
        res = f"找到最新的PL数据文件: {latest_file}"
        # print(res)
        return res

    pl_latest = get_pl_latest_file() 
    uv_latest = get_uv_latest_file()

    return pl_latest + "\n" + uv_latest

def default_func():
    return "Approved. Proceed as planned!"

def sendScheme2RobotPlatform():
    import requests
    url = "http://100.122.132.69:50000/sendScheme2RobotPlatform"
    data = {"status": "ok"}
    try:
        response = requests.post(url, json=data)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"Error sending scheme to robot platform: {e}")
        return None

if __name__ == "__main__":
    print(sendScheme2RobotPlatform())