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| 1 | +# Copyright 2025 Google LLC |
| 2 | +# |
| 3 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +# you may not use this file except in compliance with the License. |
| 5 | +# You may obtain a copy of the License at |
| 6 | +# |
| 7 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +# |
| 9 | +# Unless required by applicable law or agreed to in writing, software |
| 10 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +# See the License for the specific language governing permissions and |
| 13 | +# limitations under the License. |
| 14 | +# |
| 15 | +# pylint: disable=protected-access,bad-continuation,missing-function-docstring |
| 16 | + |
| 17 | +from tests.unit.vertexai.genai.replays import pytest_helper |
| 18 | +from vertexai._genai import types |
| 19 | +from google.genai import types as genai_types |
| 20 | + |
| 21 | + |
| 22 | +TEST_PROMPT_DATASET_ID = "8005484238453342208" |
| 23 | +TEST_VARIABLES = [ |
| 24 | + {"name": genai_types.Part(text="Alice")}, |
| 25 | + {"name": genai_types.Part(text="Bob")}, |
| 26 | +] |
| 27 | +TEST_PROMPT = types.Prompt( |
| 28 | + prompt_data=types.PromptData( |
| 29 | + contents=[ |
| 30 | + genai_types.Content( |
| 31 | + role="user", |
| 32 | + parts=[genai_types.Part(text="Hello, {name}! How are you?")], |
| 33 | + ) |
| 34 | + ], |
| 35 | + safety_settings=[ |
| 36 | + genai_types.SafetySetting( |
| 37 | + category="HARM_CATEGORY_DANGEROUS_CONTENT", |
| 38 | + threshold="BLOCK_MEDIUM_AND_ABOVE", |
| 39 | + method="SEVERITY", |
| 40 | + ), |
| 41 | + ], |
| 42 | + generation_config=genai_types.GenerationConfig(temperature=0.1), |
| 43 | + system_instruction=genai_types.Content( |
| 44 | + parts=[genai_types.Part(text="Please answer in a short sentence.")] |
| 45 | + ), |
| 46 | + ), |
| 47 | + variables=TEST_VARIABLES, |
| 48 | + model_name="gemini-2.0-flash-001", |
| 49 | +) |
| 50 | +TEST_CONFIG = types.CreatePromptConfig( |
| 51 | + prompt_display_name="my_prompt", |
| 52 | + version_display_name="my_version", |
| 53 | +) |
| 54 | + |
| 55 | + |
| 56 | +def test_create_dataset(client): |
| 57 | + create_dataset_operation = client.prompt_management._create_dataset_resource( |
| 58 | + config=types.CreateDatasetConfig(should_return_http_response=True), |
| 59 | + name="projects/vertex-sdk-dev/locations/us-central1", |
| 60 | + display_name="test display name", |
| 61 | + metadata_schema_uri="gs://google-cloud-aiplatform/schema/dataset/metadata/text_prompt_1.0.0.yaml", |
| 62 | + metadata={ |
| 63 | + "promptType": "freeform", |
| 64 | + "promptApiSchema": { |
| 65 | + "multimodalPrompt": { |
| 66 | + "promptMessage": { |
| 67 | + "contents": [ |
| 68 | + { |
| 69 | + "role": "user", |
| 70 | + "parts": [{"text": "Hello, {name}! How are you?"}], |
| 71 | + } |
| 72 | + ], |
| 73 | + "safety_settings": [ |
| 74 | + { |
| 75 | + "category": "HARM_CATEGORY_DANGEROUS_CONTENT", |
| 76 | + "threshold": "BLOCK_MEDIUM_AND_ABOVE", |
| 77 | + "method": "SEVERITY", |
| 78 | + } |
| 79 | + ], |
| 80 | + "generation_config": {"temperature": 0.1}, |
| 81 | + "model": "projects/vertex-sdk-dev/locations/us-central1/publishers/google/models/gemini-2.0-flash-001", |
| 82 | + "system_instruction": { |
| 83 | + "role": "user", |
| 84 | + "parts": [{"text": "Please answer in a short sentence."}], |
| 85 | + }, |
| 86 | + } |
| 87 | + }, |
| 88 | + "apiSchemaVersion": "1.0.0", |
| 89 | + "executions": [ |
| 90 | + { |
| 91 | + "arguments": { |
| 92 | + "name": {"partList": {"parts": [{"text": "Alice"}]}} |
| 93 | + } |
| 94 | + }, |
| 95 | + {"arguments": {"name": {"partList": {"parts": [{"text": "Bob"}]}}}}, |
| 96 | + ], |
| 97 | + }, |
| 98 | + }, |
| 99 | + model_reference="gemini-2.0-flash-001", |
| 100 | + ) |
| 101 | + assert isinstance(create_dataset_operation, types.CreateDatasetOperationMetadata) |
| 102 | + assert create_dataset_operation.sdk_http_response.body is not None |
| 103 | + |
| 104 | + |
| 105 | +def test_create_dataset_version(client): |
| 106 | + dataset_version_resource = ( |
| 107 | + client.prompt_management._create_dataset_version_resource( |
| 108 | + dataset_name=TEST_PROMPT_DATASET_ID, |
| 109 | + display_name="my new version yay", |
| 110 | + ) |
| 111 | + ) |
| 112 | + assert isinstance( |
| 113 | + dataset_version_resource, types.CreateDatasetVersionOperationMetadata |
| 114 | + ) |
| 115 | + |
| 116 | + |
| 117 | +def test_create_version_e2e(client): |
| 118 | + prompt_resource = client.prompt_management.create_version( |
| 119 | + prompt=TEST_PROMPT, |
| 120 | + config=TEST_CONFIG, |
| 121 | + ) |
| 122 | + assert isinstance(prompt_resource, types.Prompt) |
| 123 | + assert isinstance(prompt_resource.dataset, types.Dataset) |
| 124 | + |
| 125 | + # Test local prompt resource is the same after calling get() |
| 126 | + retrieved_prompt = client.prompt_management.get(prompt_id=prompt_resource.prompt_id) |
| 127 | + assert ( |
| 128 | + retrieved_prompt.prompt_data.system_instruction |
| 129 | + == prompt_resource.prompt_data.system_instruction |
| 130 | + ) |
| 131 | + assert retrieved_prompt.variables[0]["name"].text == TEST_VARIABLES[0]["name"].text |
| 132 | + assert ( |
| 133 | + retrieved_prompt.prompt_data.generation_config.temperature |
| 134 | + == prompt_resource.prompt_data.generation_config.temperature |
| 135 | + ) |
| 136 | + assert ( |
| 137 | + retrieved_prompt.prompt_data.safety_settings |
| 138 | + == prompt_resource.prompt_data.safety_settings |
| 139 | + ) |
| 140 | + assert retrieved_prompt.model_name == prompt_resource.model_name |
| 141 | + assert ( |
| 142 | + retrieved_prompt.prompt_data.generation_config.response_schema |
| 143 | + == prompt_resource.prompt_data.generation_config.response_schema |
| 144 | + ) |
| 145 | + |
| 146 | + # Test calling create_version again uses dataset from local Prompt resource. |
| 147 | + prompt_resource_2 = client.prompt_management.create_version( |
| 148 | + prompt=TEST_PROMPT, |
| 149 | + config=types.CreatePromptConfig( |
| 150 | + version_display_name="my_version", |
| 151 | + ), |
| 152 | + ) |
| 153 | + assert prompt_resource_2.dataset.name == prompt_resource.dataset.name |
| 154 | + |
| 155 | + |
| 156 | +def test_create_version_in_existing_dataset(client): |
| 157 | + prompt_resource = client.prompt_management.create_version( |
| 158 | + prompt=TEST_PROMPT, |
| 159 | + config=types.CreatePromptConfig( |
| 160 | + prompt_id=TEST_PROMPT_DATASET_ID, |
| 161 | + prompt_display_name=TEST_CONFIG.prompt_display_name, |
| 162 | + version_display_name="my_version_existing_dataset", |
| 163 | + ), |
| 164 | + ) |
| 165 | + assert isinstance(prompt_resource, types.Prompt) |
| 166 | + assert isinstance(prompt_resource.dataset, types.Dataset) |
| 167 | + assert isinstance(prompt_resource.dataset_version, types.DatasetVersion) |
| 168 | + assert prompt_resource.dataset.name.endswith(TEST_PROMPT_DATASET_ID) |
| 169 | + |
| 170 | + |
| 171 | +def test_create_version_with_version_name(client): |
| 172 | + version_name = "a_new_version_yay" |
| 173 | + prompt_resource = client.prompt_management.create_version( |
| 174 | + prompt=TEST_PROMPT, |
| 175 | + config=types.CreatePromptConfig( |
| 176 | + version_display_name=version_name, |
| 177 | + ), |
| 178 | + ) |
| 179 | + assert isinstance(prompt_resource, types.Prompt) |
| 180 | + assert isinstance(prompt_resource.dataset, types.Dataset) |
| 181 | + assert isinstance(prompt_resource.dataset_version, types.DatasetVersion) |
| 182 | + assert prompt_resource.dataset_version.display_name == version_name |
| 183 | + |
| 184 | + |
| 185 | +def test_create_version_with_inline_data(client): |
| 186 | + version_name = "prompt with inline data" |
| 187 | + |
| 188 | + pink_square_blob = genai_types.Part( |
| 189 | + inline_data=( |
| 190 | + genai_types.Blob( |
| 191 | + display_name="pink_square.ppm", |
| 192 | + data=b"P3\n1 1\n255\n255 192 203\n", |
| 193 | + mime_type="image/x-portable-pixmap", |
| 194 | + ) |
| 195 | + ) |
| 196 | + ) |
| 197 | + |
| 198 | + prompt_resource = client.prompt_management.create_version( |
| 199 | + prompt=types.Prompt( |
| 200 | + prompt_data=types.PromptData( |
| 201 | + contents=[ |
| 202 | + genai_types.Content( |
| 203 | + parts=[ |
| 204 | + pink_square_blob, |
| 205 | + genai_types.Part(text="What is this image?"), |
| 206 | + ] |
| 207 | + ) |
| 208 | + ], |
| 209 | + system_instruction=genai_types.Content( |
| 210 | + parts=[ |
| 211 | + genai_types.Part( |
| 212 | + text="Answer in the style of Taylor Swift lyrics." |
| 213 | + ) |
| 214 | + ] |
| 215 | + ), |
| 216 | + generation_config=genai_types.GenerationConfig(temperature=0.1), |
| 217 | + safety_settings=[ |
| 218 | + genai_types.SafetySetting( |
| 219 | + category="HARM_CATEGORY_DANGEROUS_CONTENT", |
| 220 | + threshold="BLOCK_MEDIUM_AND_ABOVE", |
| 221 | + method="SEVERITY", |
| 222 | + ) |
| 223 | + ], |
| 224 | + ), |
| 225 | + model_name="gemini-2.0-flash-001", |
| 226 | + ), |
| 227 | + config=types.CreatePromptConfig( |
| 228 | + prompt_display_name=TEST_CONFIG.prompt_display_name, |
| 229 | + version_display_name=version_name, |
| 230 | + ), |
| 231 | + ) |
| 232 | + assert isinstance(prompt_resource, types.Prompt) |
| 233 | + assert isinstance(prompt_resource.dataset, types.Dataset) |
| 234 | + assert isinstance(prompt_resource.dataset_version, types.DatasetVersion) |
| 235 | + assert prompt_resource.dataset_version.display_name == version_name |
| 236 | + |
| 237 | + # Confirm inline data is preserved when we retrieve the prompt. |
| 238 | + retrieved_prompt = client.prompt_management.get( |
| 239 | + prompt_id=prompt_resource.prompt_id, |
| 240 | + ) |
| 241 | + assert ( |
| 242 | + retrieved_prompt.prompt_data.contents[0].parts[0].inline_data.data |
| 243 | + == pink_square_blob.inline_data.data |
| 244 | + ) |
| 245 | + assert ( |
| 246 | + retrieved_prompt.prompt_data.contents[0].parts[0].inline_data.display_name |
| 247 | + == pink_square_blob.inline_data.display_name |
| 248 | + ) |
| 249 | + |
| 250 | + |
| 251 | +def test_create_version_with_file_data(client): |
| 252 | + version_name = "prompt with file data" |
| 253 | + |
| 254 | + audio_file_part = genai_types.Part( |
| 255 | + file_data=genai_types.FileData( |
| 256 | + file_uri="https://generativelanguage.googleapis.com/v1beta/files/57w3vpfomj71", |
| 257 | + mime_type="video/mp4", |
| 258 | + ), |
| 259 | + ) |
| 260 | + |
| 261 | + prompt_resource = client.prompt_management.create_version( |
| 262 | + prompt=types.Prompt( |
| 263 | + prompt_data=types.PromptData( |
| 264 | + contents=[ |
| 265 | + genai_types.Content( |
| 266 | + parts=[ |
| 267 | + audio_file_part, |
| 268 | + genai_types.Part(text="What is this recording about?"), |
| 269 | + ] |
| 270 | + ) |
| 271 | + ], |
| 272 | + system_instruction=genai_types.Content( |
| 273 | + parts=[ |
| 274 | + genai_types.Part( |
| 275 | + text="Answer in the style of Taylor Swift lyrics." |
| 276 | + ) |
| 277 | + ] |
| 278 | + ), |
| 279 | + generation_config=genai_types.GenerationConfig(temperature=0.1), |
| 280 | + safety_settings=[ |
| 281 | + genai_types.SafetySetting( |
| 282 | + category="HARM_CATEGORY_DANGEROUS_CONTENT", |
| 283 | + threshold="BLOCK_MEDIUM_AND_ABOVE", |
| 284 | + method="SEVERITY", |
| 285 | + ) |
| 286 | + ], |
| 287 | + ), |
| 288 | + model_name="gemini-2.0-flash-001", |
| 289 | + ), |
| 290 | + config=types.CreatePromptConfig( |
| 291 | + version_display_name=version_name, |
| 292 | + prompt_display_name="my prompt with file data", |
| 293 | + ), |
| 294 | + ) |
| 295 | + assert isinstance(prompt_resource, types.Prompt) |
| 296 | + assert isinstance(prompt_resource.dataset, types.Dataset) |
| 297 | + assert isinstance(prompt_resource.dataset_version, types.DatasetVersion) |
| 298 | + assert prompt_resource.dataset_version.display_name == version_name |
| 299 | + |
| 300 | + # Confirm file data is preserved when we retrieve the prompt. |
| 301 | + retrieved_prompt = client.prompt_management.get( |
| 302 | + prompt_id=prompt_resource.prompt_id, |
| 303 | + ) |
| 304 | + assert ( |
| 305 | + retrieved_prompt.prompt_data.contents[0].parts[0].file_data.file_uri |
| 306 | + == audio_file_part.file_data.file_uri |
| 307 | + ) |
| 308 | + assert ( |
| 309 | + retrieved_prompt.prompt_data.contents[0].parts[0].file_data.display_name |
| 310 | + == audio_file_part.file_data.display_name |
| 311 | + ) |
| 312 | + |
| 313 | + |
| 314 | +def test_prompt_id_overrides_local_prompt(client): |
| 315 | + prompt_resource = client.prompt_management.create_version( |
| 316 | + prompt=types.Prompt(**TEST_PROMPT.model_dump()), |
| 317 | + config=types.CreatePromptConfig( |
| 318 | + prompt_id="2966871049100066816", |
| 319 | + prompt_display_name=TEST_CONFIG.prompt_display_name, |
| 320 | + ), |
| 321 | + ) |
| 322 | + |
| 323 | + # Passing in prompt_id should override prompt_resource.prompt_id |
| 324 | + new_prompt_resource = client.prompt_management.create_version( |
| 325 | + prompt=types.Prompt(**TEST_PROMPT.model_dump()), |
| 326 | + config=types.CreatePromptConfig( |
| 327 | + prompt_id=TEST_PROMPT_DATASET_ID, |
| 328 | + prompt_display_name=TEST_CONFIG.prompt_display_name, |
| 329 | + ), |
| 330 | + ) |
| 331 | + assert new_prompt_resource.prompt_id == TEST_PROMPT_DATASET_ID |
| 332 | + assert new_prompt_resource.prompt_id != prompt_resource.prompt_id |
| 333 | + |
| 334 | + |
| 335 | +pytestmark = pytest_helper.setup( |
| 336 | + file=__file__, |
| 337 | + globals_for_file=globals(), |
| 338 | + test_method="prompt_management.create_version", |
| 339 | +) |
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