File size: 9,036 Bytes
95f8c4b | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 | import pytest
from aistudio_api.api.schemas import GeminiContent, GeminiGenerateContentRequest, GeminiGenerationConfig, GeminiPart
from aistudio_api.application.chat_service import normalize_gemini_request
from aistudio_api.infrastructure.gateway.wire_types import AistudioImageOutputMode
def test_normalize_gemini_request_exposes_generation_config_overrides():
req = GeminiGenerateContentRequest(
contents=[GeminiContent(role="user", parts=[GeminiPart(text="hello")])],
generationConfig=GeminiGenerationConfig(
stopSequences=["6"],
temperature=1,
topP=0.95,
topK=64,
maxOutputTokens=65536,
responseMimeType="text/plain",
responseSchema={
"type": "object",
"properties": {"test_response": {"type": "string"}},
"propertyOrdering": ["test_response"],
},
presencePenalty=0.1,
frequencyPenalty=0.2,
responseLogprobs=True,
logprobs=5,
mediaResolution=2,
thinkingConfig=[1, None, None, 3],
),
)
normalized = normalize_gemini_request(req, "models/gemini-3.1-flash-image-preview")
assert normalized["generation_config_overrides"] == {
"stop_sequences": ["6"],
"max_tokens": 65536,
"temperature": 1,
"top_p": 0.95,
"top_k": 64,
"response_mime_type": "text/plain",
"response_schema": [6, None, None, None, None, None, [["test_response", [1]]], None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, ["test_response"]],
"presence_penalty": 0.1,
"frequency_penalty": 0.2,
"response_logprobs": True,
"logprobs": 5,
"image_output_mode": AistudioImageOutputMode.image_only(),
"media_resolution": 2,
"thinking_config": [1, None, None, 3],
}
def test_normalize_gemini_request_maps_official_image_generation_fields():
req = GeminiGenerateContentRequest.model_validate(
{
"contents": [
{
"role": "user",
"parts": [
{"inlineData": {"mimeType": "image/jpeg", "data": "/9j/4AAQSkZJRgABAQAA...."}},
{"text": "INSERT_INPUT_HERE"},
],
}
],
"generationConfig": {
"responseModalities": ["IMAGE", "TEXT"],
"thinkingConfig": {"thinkingLevel": "HIGH"},
"imageConfig": {
"aspectRatio": "9:16",
"imageSize": "4K",
"personGeneration": "",
},
},
"tools": [
{
"googleSearch": {
"searchTypes": {
"webSearch": {},
"imageSearch": {},
}
}
}
],
}
)
normalized = normalize_gemini_request(req, "models/gemini-3.1-flash-image-preview")
assert normalized["tools"] == [[None, None, None, [None, [[], []]]]]
assert normalized["generation_config_overrides"] == {
"image_output_mode": AistudioImageOutputMode.text_and_image(),
"thinking_config": [1, None, None, 3],
"output_resolution": ["9:16", "4K"],
}
assert normalized["capture_images"] is not None
assert len(normalized["capture_images"]) == 1
assert normalized["contents"][0].parts[0].inline_data == ("image/jpeg", "/9j/4AAQSkZJRgABAQAA....")
def test_normalize_gemini_request_encodes_function_declarations_to_wire_tools():
req = GeminiGenerateContentRequest(
contents=[GeminiContent(role="user", parts=[GeminiPart(text="hello")])],
tools=[
{
"functionDeclarations": [
{
"name": "getWeather",
"description": "gets the weather for a requested city",
"parameters": {
"type": "object",
"properties": {"city": {"type": "string"}},
"propertyOrdering": ["city"],
},
}
]
}
],
)
normalized = normalize_gemini_request(req, "models/gemma-4-31b-it")
assert normalized["tools"] == [
[
None,
[
[
"getWeather",
"gets the weather for a requested city",
[6, None, None, None, None, None, [["city", [1]]], None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, ["city"]],
]
],
],
[None, None, None, [None, [[]]]],
]
def test_normalize_gemini_request_applies_gemma_default_tools():
req = GeminiGenerateContentRequest(
contents=[GeminiContent(role="user", parts=[GeminiPart(text="hello")])],
)
normalized = normalize_gemini_request(req, "models/gemma-4-31b-it")
assert normalized["tools"] == [[None, None, None, [None, [[]]]]]
def test_normalize_gemini_request_encodes_builtin_tools_to_wire():
req = GeminiGenerateContentRequest(
contents=[GeminiContent(role="user", parts=[GeminiPart(text="hello")])],
tools=[
{
"googleSearch": {},
"googleMaps": {},
"urlContext": {},
"codeExecution": {},
}
],
)
normalized = normalize_gemini_request(req, "models/gemini-3.5-flash")
assert normalized["tools"] == [
[[]],
[None, None, None, [None, [[]]]],
[None, None, None, None, None, None, None, None, None, None, []],
[None, None, None, None, None, None, None, []],
]
def test_normalize_gemini_request_rejects_gemma_unsupported_builtin_tool():
req = GeminiGenerateContentRequest(
contents=[GeminiContent(role="user", parts=[GeminiPart(text="hello")])],
tools=[
{
"googleMaps": {},
}
],
)
with pytest.raises(ValueError, match="not allowed"):
normalize_gemini_request(req, "models/gemma-4-31b-it")
def test_normalize_gemini_request_empty_tools_disables_model_defaults():
req = GeminiGenerateContentRequest(
contents=[GeminiContent(role="user", parts=[GeminiPart(text="hello")])],
tools=[],
)
normalized = normalize_gemini_request(req, "models/gemma-4-31b-it")
assert normalized["tools"] == []
def test_normalize_gemini_request_rejects_unsupported_person_generation():
req = GeminiGenerateContentRequest.model_validate(
{
"contents": [{"role": "user", "parts": [{"text": "hello"}]}],
"generationConfig": {
"imageConfig": {
"personGeneration": "ALLOW_ADULT",
}
},
}
)
with pytest.raises(ValueError, match="personGeneration"):
normalize_gemini_request(req, "models/gemini-3.1-flash-image-preview")
def test_normalize_gemini_request_maps_official_text_model_fields():
req = GeminiGenerateContentRequest.model_validate(
{
"contents": [
{
"role": "user",
"parts": [
{"text": "INSERT_INPUT_HERE"},
],
}
],
"generationConfig": {
"thinkingConfig": {"thinkingLevel": "HIGH"},
},
"safetySettings": [
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "BLOCK_LOW_AND_ABOVE",
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_NONE",
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "BLOCK_ONLY_HIGH",
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_MEDIUM_AND_ABOVE",
},
],
"tools": [
{"urlContext": {}},
{"codeExecution": {}},
{"googleSearch": {}},
],
}
)
normalized = normalize_gemini_request(req, "models/gemini-3.5-flash")
assert normalized["tools"] == [
[None, None, None, None, None, None, None, []],
[[]],
[None, None, None, [None, [[]]]],
]
assert normalized["generation_config_overrides"] == {
"thinking_config": [1, None, None, 3],
}
assert normalized["safety_settings"] == [
[None, None, 7, 1],
[None, None, 8, 4],
[None, None, 9, 3],
[None, None, 10, 2],
]
|