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import os
import time
import unittest
from dify_client.client import (
ChatClient,
CompletionClient,
DifyClient,
KnowledgeBaseClient,
)
API_KEY = os.environ.get("API_KEY")
APP_ID = os.environ.get("APP_ID")
API_BASE_URL = os.environ.get("API_BASE_URL", "https://api.dify.ai/v1")
FILE_PATH_BASE = os.path.dirname(__file__)
class TestKnowledgeBaseClient(unittest.TestCase):
def setUp(self):
self.knowledge_base_client = KnowledgeBaseClient(API_KEY, base_url=API_BASE_URL)
self.README_FILE_PATH = os.path.abspath(
os.path.join(FILE_PATH_BASE, "../README.md")
)
self.dataset_id = None
self.document_id = None
self.segment_id = None
self.batch_id = None
def _get_dataset_kb_client(self):
self.assertIsNotNone(self.dataset_id)
return KnowledgeBaseClient(
API_KEY, base_url=API_BASE_URL, dataset_id=self.dataset_id
)
def test_001_create_dataset(self):
response = self.knowledge_base_client.create_dataset(name="test_dataset")
data = response.json()
self.assertIn("id", data)
self.dataset_id = data["id"]
self.assertEqual("test_dataset", data["name"])
# the following tests require to be executed in order because they use
# the dataset/document/segment ids from the previous test
self._test_002_list_datasets()
self._test_003_create_document_by_text()
time.sleep(1)
self._test_004_update_document_by_text()
# self._test_005_batch_indexing_status()
time.sleep(1)
self._test_006_update_document_by_file()
time.sleep(1)
self._test_007_list_documents()
self._test_008_delete_document()
self._test_009_create_document_by_file()
time.sleep(1)
self._test_010_add_segments()
self._test_011_query_segments()
self._test_012_update_document_segment()
self._test_013_delete_document_segment()
self._test_014_delete_dataset()
def _test_002_list_datasets(self):
response = self.knowledge_base_client.list_datasets()
data = response.json()
self.assertIn("data", data)
self.assertIn("total", data)
def _test_003_create_document_by_text(self):
client = self._get_dataset_kb_client()
response = client.create_document_by_text("test_document", "test_text")
data = response.json()
self.assertIn("document", data)
self.document_id = data["document"]["id"]
self.batch_id = data["batch"]
def _test_004_update_document_by_text(self):
client = self._get_dataset_kb_client()
self.assertIsNotNone(self.document_id)
response = client.update_document_by_text(
self.document_id, "test_document_updated", "test_text_updated"
)
data = response.json()
self.assertIn("document", data)
self.assertIn("batch", data)
self.batch_id = data["batch"]
def _test_005_batch_indexing_status(self):
client = self._get_dataset_kb_client()
response = client.batch_indexing_status(self.batch_id)
data = response.json()
self.assertEqual(response.status_code, 200)
def _test_006_update_document_by_file(self):
client = self._get_dataset_kb_client()
self.assertIsNotNone(self.document_id)
response = client.update_document_by_file(
self.document_id, self.README_FILE_PATH
)
data = response.json()
self.assertIn("document", data)
self.assertIn("batch", data)
self.batch_id = data["batch"]
def _test_007_list_documents(self):
client = self._get_dataset_kb_client()
response = client.list_documents()
data = response.json()
self.assertIn("data", data)
def _test_008_delete_document(self):
client = self._get_dataset_kb_client()
self.assertIsNotNone(self.document_id)
response = client.delete_document(self.document_id)
data = response.json()
self.assertIn("result", data)
self.assertEqual("success", data["result"])
def _test_009_create_document_by_file(self):
client = self._get_dataset_kb_client()
response = client.create_document_by_file(self.README_FILE_PATH)
data = response.json()
self.assertIn("document", data)
self.document_id = data["document"]["id"]
self.batch_id = data["batch"]
def _test_010_add_segments(self):
client = self._get_dataset_kb_client()
response = client.add_segments(
self.document_id, [{"content": "test text segment 1"}]
)
data = response.json()
self.assertIn("data", data)
self.assertGreater(len(data["data"]), 0)
segment = data["data"][0]
self.segment_id = segment["id"]
def _test_011_query_segments(self):
client = self._get_dataset_kb_client()
response = client.query_segments(self.document_id)
data = response.json()
self.assertIn("data", data)
self.assertGreater(len(data["data"]), 0)
def _test_012_update_document_segment(self):
client = self._get_dataset_kb_client()
self.assertIsNotNone(self.segment_id)
response = client.update_document_segment(
self.document_id,
self.segment_id,
{"content": "test text segment 1 updated"},
)
data = response.json()
self.assertIn("data", data)
self.assertGreater(len(data["data"]), 0)
segment = data["data"]
self.assertEqual("test text segment 1 updated", segment["content"])
def _test_013_delete_document_segment(self):
client = self._get_dataset_kb_client()
self.assertIsNotNone(self.segment_id)
response = client.delete_document_segment(self.document_id, self.segment_id)
data = response.json()
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):
def setUp(self):
self.chat_client = ChatClient(API_KEY)
def test_create_chat_message(self):
response = self.chat_client.create_chat_message(
{}, "Hello, World!", "test_user"
)
self.assertIn("answer", response.text)
def test_create_chat_message_with_vision_model_by_remote_url(self):
files = [
{"type": "image", "transfer_method": "remote_url", "url": "your_image_url"}
]
response = self.chat_client.create_chat_message(
{}, "Describe the picture.", "test_user", files=files
)
self.assertIn("answer", response.text)
def test_create_chat_message_with_vision_model_by_local_file(self):
files = [
{
"type": "image",
"transfer_method": "local_file",
"upload_file_id": "your_file_id",
}
]
response = self.chat_client.create_chat_message(
{}, "Describe the picture.", "test_user", files=files
)
self.assertIn("answer", response.text)
def test_get_conversation_messages(self):
response = self.chat_client.get_conversation_messages(
"test_user", "your_conversation_id"
)
self.assertIn("answer", response.text)
def test_get_conversations(self):
response = self.chat_client.get_conversations("test_user")
self.assertIn("data", response.text)
class TestCompletionClient(unittest.TestCase):
def setUp(self):
self.completion_client = CompletionClient(API_KEY)
def test_create_completion_message(self):
response = self.completion_client.create_completion_message(
{"query": "What's the weather like today?"}, "blocking", "test_user"
)
self.assertIn("answer", response.text)
def test_create_completion_message_with_vision_model_by_remote_url(self):
files = [
{"type": "image", "transfer_method": "remote_url", "url": "your_image_url"}
]
response = self.completion_client.create_completion_message(
{"query": "Describe the picture."}, "blocking", "test_user", files
)
self.assertIn("answer", response.text)
def test_create_completion_message_with_vision_model_by_local_file(self):
files = [
{
"type": "image",
"transfer_method": "local_file",
"upload_file_id": "your_file_id",
}
]
response = self.completion_client.create_completion_message(
{"query": "Describe the picture."}, "blocking", "test_user", files
)
self.assertIn("answer", response.text)
class TestDifyClient(unittest.TestCase):
def setUp(self):
self.dify_client = DifyClient(API_KEY)
def test_message_feedback(self):
response = self.dify_client.message_feedback(
"your_message_id", "like", "test_user"
)
self.assertIn("success", response.text)
def test_get_application_parameters(self):
response = self.dify_client.get_application_parameters("test_user")
self.assertIn("user_input_form", response.text)
def test_file_upload(self):
file_path = "your_image_file_path"
file_name = "panda.jpeg"
mime_type = "image/jpeg"
with open(file_path, "rb") as file:
files = {"file": (file_name, file, mime_type)}
response = self.dify_client.file_upload("test_user", files)
self.assertIn("name", response.text)
if __name__ == "__main__":
unittest.main()
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