File size: 6,862 Bytes
1856027 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 | # -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# pylint: disable=protected-access, g-multiple-import
"""System tests for GenAI prompts."""
from google.cloud import aiplatform
from vertexai import generative_models
from vertexai.generative_models import (
GenerationConfig,
SafetySetting,
ToolConfig,
)
from vertexai.preview import prompts
from vertexai.preview.prompts import Prompt
from tests.system.aiplatform import e2e_base
from google import auth
_REQUEST_FUNCTION_PARAMETER_SCHEMA_STRUCT = {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {
"type": "string",
"enum": [
"celsius",
"fahrenheit",
],
},
},
"required": ["location"],
}
class TestPrompts(e2e_base.TestEndToEnd):
"""System tests for prompts."""
_temp_prefix = "temp_prompts_test_"
def setup_method(self):
super().setup_method()
credentials, _ = auth.default(
scopes=["https://www.googleapis.com/auth/cloud-platform"]
)
aiplatform.init(
project=e2e_base._PROJECT,
location=e2e_base._LOCATION,
credentials=credentials,
)
def test_create_prompt_with_variables(self):
# Create local Prompt
prompt = Prompt(
prompt_data="Hello, {name}! Today is {day}. How are you?",
variables=[
{"name": "Alice", "day": "Monday"},
{"name": "Bob", "day": "Tuesday"},
],
generation_config=GenerationConfig(temperature=0.1),
model_name="gemini-1.0-pro-002",
safety_settings=[
SafetySetting(
category=SafetySetting.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
threshold=SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
method=SafetySetting.HarmBlockMethod.SEVERITY,
)
],
system_instruction="Please answer in a short sentence.",
)
# Generate content using the assembled prompt for each variable set.
for i in range(len(prompt.variables)):
prompt.generate_content(
contents=prompt.assemble_contents(**prompt.variables[i])
)
# Save Prompt to online resource. Returns a new Prompt object associated with the online resource
prompt1 = prompts.create_version(prompt=prompt)
# Only new prompt should be associated with a prompt resource
assert prompt1.prompt_id
assert not prompt.prompt_id
# Update prompt and save a new version
prompt1.prompt_data = "Hi, {name}! How are you? Today is {day}."
prompt2 = prompts.create_version(prompt=prompt1, version_name="v2")
assert prompt2.prompt_id == prompt1.prompt_id
assert prompt2.version_id != prompt1.version_id
# Restore previous version
metadata = prompts.restore_version(
prompt_id=prompt2.prompt_id, version_id=prompt1.version_id
)
assert metadata.prompt_id == prompt2.prompt_id
assert metadata.version_id != prompt2.version_id
# List prompt versions
versions_metadata = prompts.list_versions(prompt_id=metadata.prompt_id)
assert len(versions_metadata) == 3
# Delete the prompt resource
prompts.delete(prompt_id=prompt2.prompt_id)
def test_create_prompt_with_function_calling(self):
# Create local Prompt
get_current_weather_func = generative_models.FunctionDeclaration(
name="get_current_weather",
description="Get the current weather in a given location",
parameters=_REQUEST_FUNCTION_PARAMETER_SCHEMA_STRUCT,
)
weather_tool = generative_models.Tool(
function_declarations=[get_current_weather_func],
)
tool_config = ToolConfig(
function_calling_config=ToolConfig.FunctionCallingConfig(
mode=ToolConfig.FunctionCallingConfig.Mode.ANY,
allowed_function_names=["get_current_weather"],
)
)
prompt = Prompt(
prompt_data="What is the weather like in Boston?",
tools=[weather_tool],
tool_config=tool_config,
model_name="gemini-1.0-pro-002",
)
# (Optional) Create a separate prompt resource to save the version to
prompt_temp = Prompt(model_name="gemini-1.0-pro-002")
prompt_temp1 = prompts.create_version(prompt=prompt_temp, version_name="empty")
# Create a new version to an existing prompt
prompt1 = prompts.create_version(
prompt=prompt, prompt_id=prompt_temp1.prompt_id, version_name="fc"
)
# Delete the prompt resource
prompts.delete(prompt_id=prompt1.prompt_id)
def test_get_prompt_with_variables(self):
# List prompts
prompts_list = prompts.list()
assert prompts_list
# Get prompt created in UI
prompt_id = "3217694940163211264"
prompt = prompts.get(prompt_id=prompt_id)
assert prompt.prompt_id == prompt_id
assert prompt.prompt_data
assert prompt.generation_config
assert prompt.system_instruction
# UI has a bug where safety settings are not saved
# assert prompt.safety_settings
# Generate content using the assembled prompt for each variable set.
for i in range(len(prompt.variables)):
response = prompt.generate_content(
contents=prompt.assemble_contents(**prompt.variables[i])
)
assert response.text
def test_get_prompt_with_function_calling(self):
# List prompts
prompts_list = prompts.list()
assert prompts_list
# Get prompt created in UI
prompt_id = "1173060709337006080"
prompt = prompts.get(prompt_id=prompt_id)
assert prompt.prompt_id == prompt_id
assert prompt.tools
# Generate content using the prompt
response = prompt.generate_content(contents=prompt.assemble_contents())
assert response
|