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[Python SDK] Add KnowledgeBaseClient and the corresponding test cases. (#8465)
Co-authored-by: Wang Ying <wangying@xkool.org>
This commit is contained in:
Ying Wang
GitHub
parent
bf16de50fe
commit
4788e1c8c8
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@ -1,3 +1,4 @@
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import json
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import requests
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@ -133,4 +134,282 @@ class WorkflowClient(DifyClient):
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return self._send_request("POST", f"/workflows/tasks/{task_id}/stop", data)
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def get_result(self, workflow_run_id):
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return self._send_request("GET", f"/workflows/run/{workflow_run_id}")
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return self._send_request("GET", f"/workflows/run/{workflow_run_id}")
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class KnowledgeBaseClient(DifyClient):
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def __init__(self, api_key, base_url: str = 'https://api.dify.ai/v1', dataset_id: str = None):
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"""
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Construct a KnowledgeBaseClient object.
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Args:
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api_key (str): API key of Dify.
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base_url (str, optional): Base URL of Dify API. Defaults to 'https://api.dify.ai/v1'.
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dataset_id (str, optional): ID of the dataset. Defaults to None. You don't need this if you just want to
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create a new dataset. or list datasets. otherwise you need to set this.
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"""
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super().__init__(
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api_key=api_key,
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base_url=base_url
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)
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self.dataset_id = dataset_id
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def _get_dataset_id(self):
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if self.dataset_id is None:
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raise ValueError("dataset_id is not set")
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return self.dataset_id
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def create_dataset(self, name: str, **kwargs):
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return self._send_request('POST', '/datasets', {'name': name}, **kwargs)
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def list_datasets(self, page: int = 1, page_size: int = 20, **kwargs):
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return self._send_request('GET', f'/datasets?page={page}&limit={page_size}', **kwargs)
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def create_document_by_text(self, name, text, extra_params: dict = None, **kwargs):
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"""
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Create a document by text.
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:param name: Name of the document
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:param text: Text content of the document
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:param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)
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e.g.
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{
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'indexing_technique': 'high_quality',
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'process_rule': {
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'rules': {
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'pre_processing_rules': [
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{'id': 'remove_extra_spaces', 'enabled': True},
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{'id': 'remove_urls_emails', 'enabled': True}
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],
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'segmentation': {
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'separator': '\n',
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'max_tokens': 500
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}
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},
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'mode': 'custom'
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}
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}
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:return: Response from the API
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"""
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data = {
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'indexing_technique': 'high_quality',
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'process_rule': {
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'mode': 'automatic'
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},
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'name': name,
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'text': text
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}
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if extra_params is not None and isinstance(extra_params, dict):
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data.update(extra_params)
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url = f"/datasets/{self._get_dataset_id()}/document/create_by_text"
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return self._send_request("POST", url, json=data, **kwargs)
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def update_document_by_text(self, document_id, name, text, extra_params: dict = None, **kwargs):
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"""
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Update a document by text.
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:param document_id: ID of the document
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:param name: Name of the document
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:param text: Text content of the document
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:param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)
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e.g.
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{
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'indexing_technique': 'high_quality',
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'process_rule': {
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'rules': {
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'pre_processing_rules': [
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{'id': 'remove_extra_spaces', 'enabled': True},
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{'id': 'remove_urls_emails', 'enabled': True}
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],
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'segmentation': {
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'separator': '\n',
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'max_tokens': 500
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}
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},
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'mode': 'custom'
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}
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}
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:return: Response from the API
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"""
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data = {
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'name': name,
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'text': text
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}
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if extra_params is not None and isinstance(extra_params, dict):
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data.update(extra_params)
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_text"
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return self._send_request("POST", url, json=data, **kwargs)
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def create_document_by_file(self, file_path, original_document_id=None, extra_params: dict = None):
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"""
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Create a document by file.
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:param file_path: Path to the file
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:param original_document_id: pass this ID if you want to replace the original document (optional)
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:param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)
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e.g.
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{
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'indexing_technique': 'high_quality',
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'process_rule': {
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'rules': {
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'pre_processing_rules': [
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{'id': 'remove_extra_spaces', 'enabled': True},
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{'id': 'remove_urls_emails', 'enabled': True}
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],
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'segmentation': {
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'separator': '\n',
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'max_tokens': 500
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}
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},
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'mode': 'custom'
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}
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}
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:return: Response from the API
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"""
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files = {"file": open(file_path, "rb")}
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data = {
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'process_rule': {
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'mode': 'automatic'
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},
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'indexing_technique': 'high_quality'
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}
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if extra_params is not None and isinstance(extra_params, dict):
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data.update(extra_params)
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if original_document_id is not None:
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data['original_document_id'] = original_document_id
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url = f"/datasets/{self._get_dataset_id()}/document/create_by_file"
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return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files)
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def update_document_by_file(self, document_id, file_path, extra_params: dict = None):
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"""
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Update a document by file.
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:param document_id: ID of the document
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:param file_path: Path to the file
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:param extra_params: extra parameters pass to the API, such as indexing_technique, process_rule. (optional)
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e.g.
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{
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'indexing_technique': 'high_quality',
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'process_rule': {
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'rules': {
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'pre_processing_rules': [
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{'id': 'remove_extra_spaces', 'enabled': True},
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{'id': 'remove_urls_emails', 'enabled': True}
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],
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'segmentation': {
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'separator': '\n',
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'max_tokens': 500
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}
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},
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'mode': 'custom'
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}
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}
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:return:
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"""
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files = {"file": open(file_path, "rb")}
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data = {}
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if extra_params is not None and isinstance(extra_params, dict):
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data.update(extra_params)
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/update_by_file"
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return self._send_request_with_files("POST", url, {"data": json.dumps(data)}, files)
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def batch_indexing_status(self, batch_id: str, **kwargs):
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"""
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Get the status of the batch indexing.
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:param batch_id: ID of the batch uploading
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:return: Response from the API
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"""
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url = f"/datasets/{self._get_dataset_id()}/documents/{batch_id}/indexing-status"
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return self._send_request("GET", url, **kwargs)
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def delete_dataset(self):
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"""
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Delete this dataset.
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:return: Response from the API
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"""
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url = f"/datasets/{self._get_dataset_id()}"
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return self._send_request("DELETE", url)
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def delete_document(self, document_id):
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"""
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Delete a document.
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:param document_id: ID of the document
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:return: Response from the API
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"""
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}"
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return self._send_request("DELETE", url)
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def list_documents(self, page: int = None, page_size: int = None, keyword: str = None, **kwargs):
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"""
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Get a list of documents in this dataset.
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:return: Response from the API
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"""
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params = {}
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if page is not None:
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params['page'] = page
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if page_size is not None:
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params['limit'] = page_size
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if keyword is not None:
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params['keyword'] = keyword
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url = f"/datasets/{self._get_dataset_id()}/documents"
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return self._send_request("GET", url, params=params, **kwargs)
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def add_segments(self, document_id, segments, **kwargs):
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"""
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Add segments to a document.
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:param document_id: ID of the document
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:param segments: List of segments to add, example: [{"content": "1", "answer": "1", "keyword": ["a"]}]
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:return: Response from the API
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"""
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data = {"segments": segments}
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments"
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return self._send_request("POST", url, json=data, **kwargs)
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def query_segments(self, document_id, keyword: str = None, status: str = None, **kwargs):
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"""
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Query segments in this document.
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:param document_id: ID of the document
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:param keyword: query keyword, optional
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:param status: status of the segment, optional, e.g. completed
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"""
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments"
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params = {}
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if keyword is not None:
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params['keyword'] = keyword
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if status is not None:
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params['status'] = status
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if "params" in kwargs:
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params.update(kwargs["params"])
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return self._send_request("GET", url, params=params, **kwargs)
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def delete_document_segment(self, document_id, segment_id):
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"""
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Delete a segment from a document.
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:param document_id: ID of the document
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:param segment_id: ID of the segment
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:return: Response from the API
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"""
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments/{segment_id}"
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return self._send_request("DELETE", url)
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def update_document_segment(self, document_id, segment_id, segment_data, **kwargs):
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"""
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Update a segment in a document.
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:param document_id: ID of the document
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:param segment_id: ID of the segment
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:param segment_data: Data of the segment, example: {"content": "1", "answer": "1", "keyword": ["a"], "enabled": True}
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:return: Response from the API
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"""
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data = {"segment": segment_data}
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url = f"/datasets/{self._get_dataset_id()}/documents/{document_id}/segments/{segment_id}"
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return self._send_request("POST", url, json=data, **kwargs)
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@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
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setup(
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name="dify-client",
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version="0.1.11",
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version="0.1.12",
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author="Dify",
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author_email="hello@dify.ai",
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description="A package for interacting with the Dify Service-API",
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@ -1,10 +1,157 @@
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import os
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import time
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import unittest
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from dify_client.client import ChatClient, CompletionClient, DifyClient
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from dify_client.client import ChatClient, CompletionClient, DifyClient, KnowledgeBaseClient
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API_KEY = os.environ.get("API_KEY")
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APP_ID = os.environ.get("APP_ID")
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API_BASE_URL = os.environ.get("API_BASE_URL", "https://api.dify.ai/v1")
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FILE_PATH_BASE = os.path.dirname(__file__)
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class TestKnowledgeBaseClient(unittest.TestCase):
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def setUp(self):
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self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL)
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self.README_FILE_PATH = os.path.abspath(os.path.join(FILE_PATH_BASE, "../README.md"))
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self.dataset_id = None
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self.document_id = None
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self.segment_id = None
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self.batch_id = None
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def _get_dataset_kb_client(self):
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self.assertIsNotNone(self.dataset_id)
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return KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id)
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def test_001_create_dataset(self):
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response = self.knowledge_base_client.create_dataset(name="test_dataset")
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data = response.json()
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self.assertIn("id", data)
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self.dataset_id = data["id"]
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self.assertEqual("test_dataset", data["name"])
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# the following tests require to be executed in order because they use
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# the dataset/document/segment ids from the previous test
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self._test_002_list_datasets()
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self._test_003_create_document_by_text()
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time.sleep(1)
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self._test_004_update_document_by_text()
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# self._test_005_batch_indexing_status()
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time.sleep(1)
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self._test_006_update_document_by_file()
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time.sleep(1)
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self._test_007_list_documents()
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self._test_008_delete_document()
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self._test_009_create_document_by_file()
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time.sleep(1)
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self._test_010_add_segments()
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self._test_011_query_segments()
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self._test_012_update_document_segment()
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self._test_013_delete_document_segment()
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self._test_014_delete_dataset()
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def _test_002_list_datasets(self):
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response = self.knowledge_base_client.list_datasets()
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data = response.json()
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self.assertIn("data", data)
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self.assertIn("total", data)
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def _test_003_create_document_by_text(self):
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client = self._get_dataset_kb_client()
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response = client.create_document_by_text("test_document", "test_text")
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data = response.json()
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self.assertIn("document", data)
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self.document_id = data["document"]["id"]
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self.batch_id = data["batch"]
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def _test_004_update_document_by_text(self):
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client = self._get_dataset_kb_client()
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self.assertIsNotNone(self.document_id)
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response = client.update_document_by_text(self.document_id, "test_document_updated", "test_text_updated")
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data = response.json()
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self.assertIn("document", data)
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self.assertIn("batch", data)
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self.batch_id = data["batch"]
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def _test_005_batch_indexing_status(self):
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client = self._get_dataset_kb_client()
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response = client.batch_indexing_status(self.batch_id)
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data = response.json()
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self.assertEqual(response.status_code, 200)
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def _test_006_update_document_by_file(self):
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client = self._get_dataset_kb_client()
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self.assertIsNotNone(self.document_id)
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response = client.update_document_by_file(self.document_id, self.README_FILE_PATH)
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data = response.json()
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self.assertIn("document", data)
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self.assertIn("batch", data)
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self.batch_id = data["batch"]
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def _test_007_list_documents(self):
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client = self._get_dataset_kb_client()
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response = client.list_documents()
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data = response.json()
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self.assertIn("data", data)
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def _test_008_delete_document(self):
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client = self._get_dataset_kb_client()
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self.assertIsNotNone(self.document_id)
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response = client.delete_document(self.document_id)
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data = response.json()
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self.assertIn("result", data)
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self.assertEqual("success", data["result"])
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def _test_009_create_document_by_file(self):
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client = self._get_dataset_kb_client()
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response = client.create_document_by_file(self.README_FILE_PATH)
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data = response.json()
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self.assertIn("document", data)
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self.document_id = data["document"]["id"]
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self.batch_id = data["batch"]
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def _test_010_add_segments(self):
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client = self._get_dataset_kb_client()
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response = client.add_segments(self.document_id, [
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{"content": "test text segment 1"}
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])
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data = response.json()
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self.assertIn("data", data)
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self.assertGreater(len(data["data"]), 0)
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segment = data["data"][0]
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self.segment_id = segment["id"]
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def _test_011_query_segments(self):
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client = self._get_dataset_kb_client()
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response = client.query_segments(self.document_id)
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data = response.json()
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self.assertIn("data", data)
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self.assertGreater(len(data["data"]), 0)
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def _test_012_update_document_segment(self):
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client = self._get_dataset_kb_client()
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self.assertIsNotNone(self.segment_id)
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response = client.update_document_segment(self.document_id, self.segment_id,
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{"content": "test text segment 1 updated"}
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)
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data = response.json()
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self.assertIn("data", data)
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self.assertGreater(len(data["data"]), 0)
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segment = data["data"]
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self.assertEqual("test text segment 1 updated", segment["content"])
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def _test_013_delete_document_segment(self):
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client = self._get_dataset_kb_client()
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self.assertIsNotNone(self.segment_id)
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response = client.delete_document_segment(self.document_id, self.segment_id)
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data = response.json()
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self.assertIn("result", data)
|
||||
self.assertEqual("success", data["result"])
|
||||
|
||||
def _test_014_delete_dataset(self):
|
||||
client = self._get_dataset_kb_client()
|
||||
response = client.delete_dataset()
|
||||
self.assertEqual(204, response.status_code)
|
||||
|
||||
|
||||
class TestChatClient(unittest.TestCase):
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user