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import pytest
from encoding_dsv4 import (
IMAGE_PLACEHOLDER,
encode_messages,
load_cases,
parse_tagged_text,
)
def test_plain_text_prompt_is_unchanged():
prompt = encode_messages(
[{"role": "user", "content": "hello"}],
thinking_mode="chat",
)
assert prompt == (
"<｜begin▁of▁sentence｜><｜User｜>hello"
"<｜Assistant｜></think>"
)
def test_multiturn_text_prompt_is_unchanged():
prompt = encode_messages(
[
{"role": "system", "content": "sys"},
{"role": "user", "content": "q1"},
{"role": "assistant", "content": "a1"},
{"role": "user", "content": "q2"},
],
thinking_mode="chat",
)
assert prompt == (
"<｜begin▁of▁sentence｜>sys<｜User｜>q1<｜Assistant｜></think>"
"a1<｜end▁of▁sentence｜><｜User｜>q2<｜Assistant｜></think>"
)
def test_top_level_image_block_returns_matching_placeholder_and_record():
messages = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": "images/image_1.jpeg"}},
{"type": "text", "text": "describe"},
],
}]
prompt, media = encode_messages(
messages,
thinking_mode="chat",
return_multi_modal_data=True,
)
assert prompt == (
"<｜begin▁of▁sentence｜><｜User｜><｜deepseek_image｜>\n\n"
"describe<｜Assistant｜></think>"
)
assert prompt.count(IMAGE_PLACEHOLDER) == len(media["images"]) == 1
assert media["images"][0]["url"] == "images/image_1.jpeg"
def test_tagged_text_matches_standard_image_content_blocks():
tagged_content = parse_tagged_text(
"before<image>images/image_1.jpeg</image>after"
)
standard_content = [
{"type": "text", "text": "before"},
{"type": "image_url", "image_url": {"url": "images/image_1.jpeg"}},
{"type": "text", "text": "after"},
]
tagged = encode_messages(
[{"role": "user", "content": tagged_content}],
thinking_mode="chat",
return_multi_modal_data=True,
)
standard = encode_messages(
[{"role": "user", "content": standard_content}],
thinking_mode="chat",
return_multi_modal_data=True,
)
assert tagged == standard
def test_tagged_text_preserves_multiple_image_order():
content = parse_tagged_text(
"<image>first.png</image>middle<image>second.png</image>"
)
prompt, media = encode_messages(
[{"role": "user", "content": content}],
thinking_mode="chat",
return_multi_modal_data=True,
)
assert prompt.count(IMAGE_PLACEHOLDER) == 2
assert [image["url"] for image in media["images"]] == [
"first.png",
"second.png",
]
def test_txt_and_json_examples_encode_identically():
root = Path(__file__).parent.parent
examples = root / "inference" / "examples"
text = (examples / "example_vl.txt").read_text().rstrip("\n")
json_case = load_cases(str(examples / "example_vl_harmony.json"))[0]
txt_encoded = encode_messages(
[{"role": "user", "content": parse_tagged_text(text)}],
thinking_mode="chat",
return_multi_modal_data=True,
)
json_encoded = encode_messages(
json_case["messages"],
thinking_mode="chat",
return_multi_modal_data=True,
)
assert txt_encoded == json_encoded
prompt, media = txt_encoded
assert prompt.count(IMAGE_PLACEHOLDER) == 2
assert [image["url"] for image in media["images"]] == [
"examples/images/carrots.jpeg",
"examples/images/corn.jpeg",
]
def test_malformed_tagged_text_is_rejected():
with pytest.raises(ValueError, match="Malformed"):
parse_tagged_text("<image>missing end tag")
def test_nested_tool_result_preserves_image_placeholder():
messages = [{
"role": "user",
"content": [{
"type": "tool_result",
"tool_use_id": "call-1",
"content": [
{"type": "image_url", "image_url": {"url": "images/image_1.jpeg"}},
{"type": "text", "text": "nested"},
],
}],
}]
prompt, media = encode_messages(
messages,
thinking_mode="chat",
return_multi_modal_data=True,
)
assert "<tool_result><｜deepseek_image｜>\n\nnested</tool_result>" in prompt
assert prompt.count(IMAGE_PLACEHOLDER) == len(media["images"]) == 1
def test_tool_role_with_image_blocks_preserves_placeholder():
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [{
"id": "call-1",
"type": "function",
"function": {"name": "inspect", "arguments": "{}"},
}],
},
{
"role": "tool",
"tool_call_id": "call-1",
"content": [
{"type": "image_url", "image_url": {"url": "images/image_1.jpeg"}},
{"type": "text", "text": "tool image"},
],
},
]
prompt, media = encode_messages(
messages,
thinking_mode="chat",
return_multi_modal_data=True,
)
assert "<tool_result><｜deepseek_image｜>\n\ntool image</tool_result>" in prompt
assert prompt.count(IMAGE_PLACEHOLDER) == len(media["images"]) == 1
def test_context_images_are_not_returned_as_current_media():
context = [{
"role": "user",
"content": [
{"type": "image_url", "image_url": {"url": "images/image_1.jpeg"}},
{"type": "text", "text": "previous"},
],
}]
prompt, media = encode_messages(
[{"role": "user", "content": "now"}],
thinking_mode="chat",
context=context,
return_multi_modal_data=True,
)
assert IMAGE_PLACEHOLDER not in prompt
assert media == {"images": []}
def test_user_supplied_placeholder_is_rejected():
with pytest.raises(ValueError, match="image special token"):
encode_messages(
[{"role": "user", "content": IMAGE_PLACEHOLDER}],
thinking_mode="chat",
)
def test_image_block_without_source_is_rejected():
with pytest.raises(ValueError, match="valid source"):
encode_messages(
[{
"role": "user",
"content": [{"type": "image_url", "image_url": {}}],
}],
thinking_mode="chat",
return_multi_modal_data=True,
)
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