File size: 10,081 Bytes
a402b9b | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 | """
Unit tests for Jinja chat template utils.
"""
import unittest
from sglang.srt.parser.jinja_template_utils import (
detect_jinja_template_content_format,
process_content_for_template_format,
)
from sglang.test.ci.ci_register import register_cpu_ci
from sglang.test.test_utils import CustomTestCase
register_cpu_ci(est_time=7, suite="stage-a-cpu-only")
class TestTemplateContentFormatDetection(CustomTestCase):
"""Test template content format detection functionality."""
def test_detect_llama4_openai_format(self):
"""Test detection of llama4-style template (should be 'openai' format)."""
llama4_pattern = """
{%- for message in messages %}
{%- if message['content'] is string %}
{{- message['content'] }}
{%- else %}
{%- for content in message['content'] %}
{%- if content['type'] == 'image' %}
{{- '<|image|>' }}
{%- elif content['type'] == 'text' %}
{{- content['text'] | trim }}
{%- endif %}
{%- endfor %}
{%- endif %}
{%- endfor %}
"""
result = detect_jinja_template_content_format(llama4_pattern)
self.assertEqual(result, "openai")
def test_detect_deepseek_string_format(self):
"""Test detection of deepseek-style template (should be 'string' format)."""
deepseek_pattern = """
{%- for message in messages %}
{%- if message['role'] == 'user' %}
{{- '<|User|>' + message['content'] + '<|Assistant|>' }}
{%- endif %}
{%- endfor %}
"""
result = detect_jinja_template_content_format(deepseek_pattern)
self.assertEqual(result, "string")
def test_detect_invalid_template(self):
"""Test handling of invalid template (should default to 'string')."""
invalid_pattern = "{{{{ invalid jinja syntax }}}}"
result = detect_jinja_template_content_format(invalid_pattern)
self.assertEqual(result, "string")
def test_detect_empty_template(self):
"""Test handling of empty template (should default to 'string')."""
result = detect_jinja_template_content_format("")
self.assertEqual(result, "string")
def test_detect_msg_content_pattern(self):
"""Test detection of template with msg.content pattern (should be 'openai' format)."""
msg_content_pattern = """
[gMASK]<sop>
{%- for msg in messages %}
{%- if msg.role == 'system' %}
<|system|>
{{ msg.content }}
{%- elif msg.role == 'user' %}
<|user|>{{ '\n' }}
{%- if msg.content is string %}
{{ msg.content }}
{%- else %}
{%- for item in msg.content %}
{%- if item.type == 'video' or 'video' in item %}
<|begin_of_video|><|video|><|end_of_video|>
{%- elif item.type == 'image' or 'image' in item %}
<|begin_of_image|><|image|><|end_of_image|>
{%- elif item.type == 'text' %}
{{ item.text }}
{%- endif %}
{%- endfor %}
{%- endif %}
{%- elif msg.role == 'assistant' %}
{%- if msg.metadata %}
<|assistant|>{{ msg.metadata }}
{{ msg.content }}
{%- else %}
<|assistant|>
{{ msg.content }}
{%- endif %}
{%- endif %}
{%- endfor %}
{% if add_generation_prompt %}<|assistant|>
{% endif %}
"""
result = detect_jinja_template_content_format(msg_content_pattern)
self.assertEqual(result, "openai")
def test_detect_m_content_pattern(self):
"""Test detection of template with m.content pattern (should be 'openai' format)."""
msg_content_pattern = """
[gMASK]<sop>
{%- for m in messages %}
{%- if m.role == 'system' %}
<|system|>
{{ m.content }}
{%- elif m.role == 'user' %}
<|user|>{{ '\n' }}
{%- if m.content is string %}
{{ m.content }}
{%- else %}
{%- for item in m.content %}
{%- if item.type == 'video' or 'video' in item %}
<|begin_of_video|><|video|><|end_of_video|>
{%- elif item.type == 'image' or 'image' in item %}
<|begin_of_image|><|image|><|end_of_image|>
{%- elif item.type == 'text' %}
{{ item.text }}
{%- endif %}
{%- endfor %}
{%- endif %}
{%- elif m.role == 'assistant' %}
{%- if m.metadata %}
<|assistant|>{{ m.metadata }}
{{ m.content }}
{%- else %}
<|assistant|>
{{ m.content }}
{%- endif %}
{%- endif %}
{%- endfor %}
{% if add_generation_prompt %}<|assistant|>
{% endif %}
"""
result = detect_jinja_template_content_format(msg_content_pattern)
self.assertEqual(result, "openai")
def test_process_content_openai_format(self):
"""Test content processing for openai format."""
msg_dict = {
"role": "user",
"content": [
{"type": "text", "text": "Look at this image:"},
{
"type": "image_url",
"image_url": {"url": "http://example.com/image.jpg"},
},
{"type": "text", "text": "What do you see?"},
],
}
image_data = []
video_data = []
audio_data = []
modalities = []
result = process_content_for_template_format(
msg_dict, "openai", image_data, video_data, audio_data, modalities
)
# Check that image_data was extracted
self.assertEqual(len(image_data), 1)
self.assertEqual(image_data[0].url, "http://example.com/image.jpg")
# Check that content was normalized
expected_content = [
{"type": "text", "text": "Look at this image:"},
{"type": "image"}, # normalized from image_url
{"type": "text", "text": "What do you see?"},
]
self.assertEqual(result["content"], expected_content)
self.assertEqual(result["role"], "user")
def test_process_content_string_format(self):
"""Test content processing for string format."""
msg_dict = {
"role": "user",
"content": [
{"type": "text", "text": "Hello"},
{
"type": "image_url",
"image_url": {"url": "http://example.com/image.jpg"},
},
{"type": "text", "text": "world"},
],
}
image_data = []
video_data = []
audio_data = []
modalities = []
result = process_content_for_template_format(
msg_dict, "string", image_data, video_data, audio_data, modalities
)
# For string format, should flatten to text only
self.assertEqual(result["content"], "Hello world")
self.assertEqual(result["role"], "user")
# Image data should not be extracted for string format
self.assertEqual(len(image_data), 0)
def test_process_content_with_audio(self):
"""Test content processing with audio content."""
msg_dict = {
"role": "user",
"content": [
{"type": "text", "text": "Listen to this:"},
{
"type": "audio_url",
"audio_url": {"url": "http://example.com/audio.mp3"},
},
],
}
image_data = []
video_data = []
audio_data = []
modalities = []
result = process_content_for_template_format(
msg_dict, "openai", image_data, video_data, audio_data, modalities
)
# Check that audio_data was extracted
self.assertEqual(len(audio_data), 1)
self.assertEqual(audio_data[0], "http://example.com/audio.mp3")
# Check that content was normalized
expected_content = [
{"type": "text", "text": "Listen to this:"},
{"type": "audio"}, # normalized from audio_url
]
self.assertEqual(result["content"], expected_content)
def test_process_content_already_string(self):
"""Test processing content that's already a string."""
msg_dict = {"role": "user", "content": "Hello world"}
image_data = []
video_data = []
audio_data = []
modalities = []
result = process_content_for_template_format(
msg_dict, "openai", image_data, video_data, audio_data, modalities
)
# Should pass through unchanged
self.assertEqual(result["content"], "Hello world")
self.assertEqual(result["role"], "user")
self.assertEqual(len(image_data), 0)
def test_process_content_with_modalities(self):
"""Test content processing with modalities field."""
msg_dict = {
"role": "user",
"content": [
{
"type": "image_url",
"image_url": {"url": "http://example.com/image.jpg"},
"modalities": ["vision"],
}
],
}
image_data = []
video_data = []
audio_data = []
modalities = []
result = process_content_for_template_format(
msg_dict, "openai", image_data, video_data, audio_data, modalities
)
# Check that modalities was extracted
self.assertEqual(len(modalities), 1)
self.assertEqual(modalities[0], ["vision"])
def test_process_content_filter_none_values(self):
"""Test that None values are filtered out of processed messages."""
msg_dict = {
"role": "user",
"content": "Hello",
"name": None,
"tool_call_id": None,
}
image_data = []
video_data = []
audio_data = []
modalities = []
result = process_content_for_template_format(
msg_dict, "string", image_data, video_data, audio_data, modalities
)
# None values should be filtered out
expected_keys = {"role", "content"}
self.assertEqual(set(result.keys()), expected_keys)
if __name__ == "__main__":
unittest.main()
|