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With `template.use_tokenizer_template: true` the sglang and vllm backends
render the prompt themselves via `tokenizer.apply_chat_template()`, and they
hand it plain string content. A chat template only emits the model's own media
tokens when the content is a list of parts, so the rendered prompt carries no
`<|vision_start|><|image_pad|><|vision_end|>`. The pixels do reach the engine
(`image_data` / `multi_modal_data`), but both engines locate them by scanning
the prompt for that token, so they are discarded silently: HTTP 200, no
warning, and the model answers as if no image had been attached.
Add `attach_media_parts()` to the shared `python_utils` helper and call it in
both backends: the last user turn is rebuilt as
`[{"type": "image"} * n, {"type": "video"} * n, {"type": "text", ...}]` before
templating, which makes the template emit the placeholders. The pixels keep
travelling out of band exactly as before.
Text-only requests are untouched - with no media the helper returns None and
the original string-content path runs unchanged. If a template cannot iterate
content parts (a text-only model), the parts render is caught and the request
falls back to the previous string-content prompt instead of failing.
Signed-off-by: Tai An <antai12232931@outlook.com>
181 lines
6.4 KiB
Python
181 lines
6.4 KiB
Python
"""Unit tests for the shared python backend helpers (python_utils.py).
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Run standalone (Python standard library only, no backend venv needed):
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python3 -m unittest python_utils_test
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These mirror the server-less helper tests in backend/python/mlx/test.py
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(TestSharedHelpers), but live here so they run on any platform: the mlx
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test module imports grpc/backend_pb2 at import time and needs the MLX venv,
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whereas python_utils has no third-party dependency. Proto Message objects
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are faked with types.SimpleNamespace (real proto fields default to "").
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"""
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import json
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import types
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import unittest
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from python_utils import attach_media_parts, messages_to_dicts, parse_options
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def _msg(**fields):
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"""Fake a proto Message: every unset field is the empty string, as protobuf."""
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defaults = {
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"role": "",
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"content": "",
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"name": "",
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"tool_call_id": "",
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"reasoning_content": "",
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"tool_calls": "",
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}
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defaults.update(fields)
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return types.SimpleNamespace(**defaults)
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class TestParseOptions(unittest.TestCase):
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def test_type_inference(self):
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opts = parse_options(
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["temperature:0.7", "max_tokens:128", "trust:true", "name:hello", "no_colon_skipped"]
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)
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self.assertEqual(opts["temperature"], 0.7)
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self.assertEqual(opts["max_tokens"], 128)
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self.assertIs(opts["trust"], True)
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self.assertEqual(opts["name"], "hello")
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self.assertNotIn("no_colon_skipped", opts)
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class TestMessagesToDicts(unittest.TestCase):
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def test_basic_fields(self):
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out = messages_to_dicts(
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[
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_msg(role="user", content="hi"),
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_msg(role="tool", content="42", tool_call_id="call_1", name="f"),
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]
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)
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self.assertEqual(out[0], {"role": "user", "content": "hi"})
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self.assertEqual(out[1]["tool_call_id"], "call_1")
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self.assertEqual(out[1]["name"], "f")
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def test_tool_call_arguments_string_decoded_to_mapping(self):
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# OpenAI wire format ships function.arguments as a JSON *string*; chat
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# templates iterate it as a mapping, so it must come back as a dict.
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out = messages_to_dicts(
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[
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_msg(
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role="assistant",
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tool_calls=json.dumps(
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[
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{
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"id": "call_1",
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"type": "function",
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"function": {
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"name": "get_weather",
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"arguments": '{"location": "Rome"}',
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},
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}
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]
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),
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)
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]
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)
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args = out[0]["tool_calls"][0]["function"]["arguments"]
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self.assertEqual(args, {"location": "Rome"})
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self.assertEqual(dict(args.items()), {"location": "Rome"})
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def test_tool_call_arguments_already_mapping_is_idempotent(self):
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out = messages_to_dicts(
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[
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_msg(
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role="assistant",
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tool_calls=json.dumps(
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[{"function": {"name": "f", "arguments": {"a": 1}}}]
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),
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)
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]
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)
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self.assertEqual(out[0]["tool_calls"][0]["function"]["arguments"], {"a": 1})
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def test_tool_call_arguments_invalid_json_left_as_string(self):
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out = messages_to_dicts(
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[
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_msg(
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role="assistant",
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tool_calls=json.dumps(
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[{"function": {"name": "f", "arguments": "not-json"}}]
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),
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)
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]
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)
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self.assertEqual(out[0]["tool_calls"][0]["function"]["arguments"], "not-json")
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def test_tool_call_without_function_key(self):
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out = messages_to_dicts(
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[_msg(role="assistant", tool_calls=json.dumps([{"id": "call_1"}]))]
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)
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self.assertEqual(out[0]["tool_calls"], [{"id": "call_1"}])
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def test_tool_calls_invalid_json_dropped(self):
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out = messages_to_dicts([_msg(role="assistant", tool_calls="{not json")])
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self.assertNotIn("tool_calls", out[0])
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class TestAttachMediaParts(unittest.TestCase):
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def test_image_marker_added_to_last_user_turn(self):
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messages = [
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{"role": "system", "content": "be brief"},
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{"role": "user", "content": "first"},
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{"role": "assistant", "content": "ok"},
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{"role": "user", "content": "how high is the water?"},
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]
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out = attach_media_parts(messages, n_images=1)
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self.assertEqual(
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out[3]["content"],
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[{"type": "image"}, {"type": "text", "text": "how high is the water?"}],
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)
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# Earlier turns and the input list itself are untouched.
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self.assertEqual(out[:3], messages[:3])
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self.assertEqual(messages[3]["content"], "how high is the water?")
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def test_counts_and_order_images_then_videos(self):
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out = attach_media_parts(
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[{"role": "user", "content": "describe"}], n_images=2, n_videos=1
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)
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self.assertEqual(
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out[0]["content"],
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[
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{"type": "image"},
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{"type": "image"},
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{"type": "video"},
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{"type": "text", "text": "describe"},
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],
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)
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def test_empty_text_yields_media_only_parts(self):
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out = attach_media_parts([{"role": "user", "content": ""}], n_images=1)
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self.assertEqual(out[0]["content"], [{"type": "image"}])
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def test_other_message_keys_are_preserved(self):
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out = attach_media_parts(
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[{"role": "user", "content": "hi", "name": "bob"}], n_images=1
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)
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self.assertEqual(out[0]["name"], "bob")
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def test_no_media_is_a_no_op(self):
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self.assertIsNone(attach_media_parts([{"role": "user", "content": "hi"}]))
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def test_no_user_turn_is_a_no_op(self):
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self.assertIsNone(
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attach_media_parts([{"role": "system", "content": "hi"}], n_images=1)
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)
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def test_content_already_parts_is_a_no_op(self):
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self.assertIsNone(
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attach_media_parts(
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[{"role": "user", "content": [{"type": "text", "text": "hi"}]}],
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n_images=1,
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)
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)
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if __name__ == "__main__":
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unittest.main()
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