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| import jsonimport requestsclass DifyClient:    def __init__(self, api_key, base_url: str = "https://api.dify.ai/v1"):        self.api_key = api_key        self.base_url = base_url    def _send_request(self, method, endpoint, json=None, params=None, stream=False):        headers = {"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"}        url = f"{self.base_url}{endpoint}"        response = requests.request(method, url, json=json, params=params, headers=headers, stream=stream)        return response    def _send_request_with_files(self, method, endpoint, data, files):        headers = {"Authorization": f"Bearer {self.api_key}"}        url = f"{self.base_url}{endpoint}"        response = requests.request(method, url, data=data, headers=headers, files=files)        return response    def message_feedback(self, message_id, rating, user):        data = {"rating": rating, "user": user}        return self._send_request("POST", f"/messages/{message_id}/feedbacks", data)    def get_application_parameters(self, user):        params = {"user": user}        return self._send_request("GET", "/parameters", params=params)    def file_upload(self, user, files):        data = {"user": user}        return self._send_request_with_files("POST", "/files/upload", data=data, files=files)    def text_to_audio(self, text: str, user: str, streaming: bool = False):        data = {"text": text, "user": user, "streaming": streaming}        return self._send_request("POST", "/text-to-audio", data=data)    def get_meta(self, user):        params = {"user": user}        return self._send_request("GET", "/meta", params=params)class CompletionClient(DifyClient):    def create_completion_message(self, inputs, response_mode, user, files=None):        data = {"inputs": inputs, "response_mode": response_mode, "user": user, "files": files}        return self._send_request(            "POST", "/completion-messages", data, stream=True if response_mode == "streaming" else False        )class ChatClient(DifyClient):    def create_chat_message(self, inputs, query, user, response_mode="blocking", conversation_id=None, files=None):        data = {"inputs": inputs, "query": query, "user": user, "response_mode": response_mode, "files": files}        if conversation_id:            data["conversation_id"] = conversation_id        return self._send_request(            "POST", "/chat-messages", data, stream=True if response_mode == "streaming" else False        )    def get_suggested(self, message_id, user: str):        params = {"user": user}        return self._send_request("GET", f"/messages/{message_id}/suggested", params=params)    def stop_message(self, task_id, user):        data = {"user": user}        return self._send_request("POST", f"/chat-messages/{task_id}/stop", data)    def get_conversations(self, user, last_id=None, limit=None, pinned=None):        params = {"user": user, "last_id": last_id, "limit": limit, "pinned": pinned}        return self._send_request("GET", "/conversations", params=params)    def get_conversation_messages(self, user, conversation_id=None, first_id=None, limit=None):        params = {"user": user}        if conversation_id:            params["conversation_id"] = conversation_id        if first_id:            params["first_id"] = first_id        if limit:            params["limit"] = limit        return self._send_request("GET", "/messages", params=params)    def rename_conversation(self, conversation_id, name, auto_generate: bool, user: str):        data = {"name": name, "auto_generate": auto_generate, "user": user}        return self._send_request("POST", f"/conversations/{conversation_id}/name", data)    def delete_conversation(self, conversation_id, user):        data = {"user": user}        return self._send_request("DELETE", f"/conversations/{conversation_id}", data)    def audio_to_text(self, audio_file, user):        data = {"user": user}        files = {"audio_file": audio_file}        return self._send_request_with_files("POST", "/audio-to-text", data, files)class WorkflowClient(DifyClient):    def run(self, inputs: dict, response_mode: str = "streaming", user: str = "abc-123"):        data = {"inputs": inputs, "response_mode": response_mode, "user": user}        return self._send_request("POST", "/workflows/run", data)    def stop(self, task_id, user):        data = {"user": user}        return self._send_request("POST", f"/workflows/tasks/{task_id}/stop", data)    def get_result(self, workflow_run_id):        return self._send_request("GET", f"/workflows/run/{workflow_run_id}")class KnowledgeBaseClient(DifyClient):    def __init__(self, api_key, base_url: str = "https://api.dify.ai/v1", dataset_id: str = None):        """        Construct a KnowledgeBaseClient object.        Args:            api_key (str): API key of Dify.            base_url (str, optional): Base URL of Dify API. Defaults to 'https://api.dify.ai/v1'.            dataset_id (str, optional): ID of the dataset. Defaults to None. You don't need this if you just want to                create a new dataset. or list datasets. otherwise you need to set this.        """        super().__init__(api_key=api_key, base_url=base_url)        self.dataset_id = dataset_id    def _get_dataset_id(self):        if self.dataset_id is None:            raise ValueError("dataset_id is not set")        return self.dataset_id    def create_dataset(self, name: str, **kwargs):        return self._send_request("POST", "/datasets", {"name": name}, **kwargs)    def list_datasets(self, page: int = 1, page_size: int = 20, **kwargs):        return self._send_request("GET", f"/datasets?page={page}&limit={page_size}", **kwargs)    def create_document_by_text(self, name, text, extra_params: dict = None, **kwargs):        """        Create a document by text.        :param name: Name of the document        :param text: Text content of the document        :param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)            e.g.            {            'indexing_technique': 'high_quality',            'process_rule': {                'rules': {                    'pre_processing_rules': [                        {'id': 'remove_extra_spaces', 'enabled': True},                        {'id': 'remove_urls_emails', 'enabled': True}                    ],                    'segmentation': {                        'separator': '\n',                        'max_tokens': 500                    }                },                'mode': 'custom'            }        }        :return: Response from the API        """        data = {"indexing_technique": "high_quality", "process_rule": {"mode": "automatic"}, "name": name, "text": text}        if extra_params is not None and isinstance(extra_params, dict):            data.update(extra_params)        url = f"/datasets/{self._get_dataset_id()}/document/create_by_text"        return self._send_request("POST", url, json=data, **kwargs)    def update_document_by_text(self, document_id, name, text, extra_params: dict = None, **kwargs):        """        Update a document by text.        :param document_id: ID of the document        :param name: Name of the document        :param text: Text content of the document        :param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)            e.g.            {            'indexing_technique': 'high_quality',            'process_rule': {                'rules': {                    'pre_processing_rules': [                        {'id': 'remove_extra_spaces', 'enabled': True},                        {'id': 'remove_urls_emails', 'enabled': True}                    ],                    'segmentation': {                        'separator': '\n',                        'max_tokens': 500                    }                },                'mode': 'custom'            }        }        :return: Response from the API        """        data = {"name": name, "text": text}        if extra_params is not None and isinstance(extra_params, dict):            data.update(extra_params)        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_text"        return self._send_request("POST", url, json=data, **kwargs)    def create_document_by_file(self, file_path, original_document_id=None, extra_params: dict = None):        """        Create a document by file.        :param file_path: Path to the file        :param original_document_id: pass this ID if you want to replace the original document (optional)        :param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)            e.g.            {            'indexing_technique': 'high_quality',            'process_rule': {                'rules': {                    'pre_processing_rules': [                        {'id': 'remove_extra_spaces', 'enabled': True},                        {'id': 'remove_urls_emails', 'enabled': True}                    ],                    'segmentation': {                        'separator': '\n',                        'max_tokens': 500                    }                },                'mode': 'custom'            }        }        :return: Response from the API        """        files = {"file": open(file_path, "rb")}        data = {"process_rule": {"mode": "automatic"}, "indexing_technique": "high_quality"}        if extra_params is not None and isinstance(extra_params, dict):            data.update(extra_params)        if original_document_id is not None:            data["original_document_id"] = original_document_id        url = f"/datasets/{self._get_dataset_id()}/document/create_by_file"        return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files)    def update_document_by_file(self, document_id, file_path, extra_params: dict = None):        """        Update a document by file.        :param document_id: ID of the document        :param file_path: Path to the file        :param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)            e.g.            {            'indexing_technique': 'high_quality',            'process_rule': {                'rules': {                    'pre_processing_rules': [                        {'id': 'remove_extra_spaces', 'enabled': True},                        {'id': 'remove_urls_emails', 'enabled': True}                    ],                    'segmentation': {                        'separator': '\n',                        'max_tokens': 500                    }                },                'mode': 'custom'            }        }        :return:        """        files = {"file": open(file_path, "rb")}        data = {}        if extra_params is not None and isinstance(extra_params, dict):            data.update(extra_params)        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file"        return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files)    def batch_indexing_status(self, batch_id: str, **kwargs):        """        Get the status of the batch indexing.        :param batch_id: ID of the batch uploading        :return: Response from the API        """        url = f"/datasets/{self._get_dataset_id()}/documents/{batch_id}/indexing-status"        return self._send_request("GET", url, **kwargs)    def delete_dataset(self):        """        Delete this dataset.        :return: Response from the API        """        url = f"/datasets/{self._get_dataset_id()}"        return self._send_request("DELETE", url)    def delete_document(self, document_id):        """        Delete a document.        :param document_id: ID of the document        :return: Response from the API        """        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}"        return self._send_request("DELETE", url)    def list_documents(self, page: int = None, page_size: int = None, keyword: str = None, **kwargs):        """        Get a list of documents in this dataset.        :return: Response from the API        """        params = {}        if page is not None:            params["page"] = page        if page_size is not None:            params["limit"] = page_size        if keyword is not None:            params["keyword"] = keyword        url = f"/datasets/{self._get_dataset_id()}/documents"        return self._send_request("GET", url, params=params, **kwargs)    def add_segments(self, document_id, segments, **kwargs):        """        Add segments to a document.        :param document_id: ID of the document        :param segments: List of segments to add, example: [{"content": "1", "answer": "1", "keyword": ["a"]}]        :return: Response from the API        """        data = {"segments": segments}        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments"        return self._send_request("POST", url, json=data, **kwargs)    def query_segments(self, document_id, keyword: str = None, status: str = None, **kwargs):        """        Query segments in this document.        :param document_id: ID of the document        :param keyword: query keyword, optional        :param status: status of the segment, optional, e.g. completed        """        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments"        params = {}        if keyword is not None:            params["keyword"] = keyword        if status is not None:            params["status"] = status        if "params" in kwargs:            params.update(kwargs["params"])        return self._send_request("GET", url, params=params, **kwargs)    def delete_document_segment(self, document_id, segment_id):        """        Delete a segment from a document.        :param document_id: ID of the document        :param segment_id: ID of the segment        :return: Response from the API        """        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments/{segment_id}"        return self._send_request("DELETE", url)    def update_document_segment(self, document_id, segment_id, segment_data, **kwargs):        """        Update a segment in a document.        :param document_id: ID of the document        :param segment_id: ID of the segment        :param segment_data: Data of the segment, example: {"content": "1", "answer": "1", "keyword": ["a"], "enabled": True}        :return: Response from the API        """        data = {"segment": segment_data}        url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments/{segment_id}"        return self._send_request("POST", url, json=data, **kwargs)
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