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test_model_get_prompt.py
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from unittest import mock
from manubot_ai_editor import env_vars
from manubot_ai_editor.models import GPT3CompletionModel
def test_get_prompt_for_abstract():
manuscript_title = "Title of the manuscript to be revised"
manuscript_keywords = ["keyword0", "keyword1", "keyword2"]
model = GPT3CompletionModel(
title=manuscript_title,
keywords=manuscript_keywords,
)
paragraph_text = "Text of the abstract"
prompt = model.get_prompt(paragraph_text, "abstract")
assert prompt is not None
assert isinstance(prompt, str)
assert "abstract" in prompt
assert f"'{manuscript_title}'" in prompt
assert f"{manuscript_keywords[0]}" in prompt
assert f"{manuscript_keywords[1]}" in prompt
assert f"{manuscript_keywords[2]}" in prompt
assert paragraph_text in prompt
assert prompt.startswith("Revise")
assert " " not in prompt
def test_get_prompt_for_introduction():
manuscript_title = "Title of the manuscript to be revised"
manuscript_keywords = ["keyword0", "keyword1", "keyword2"]
model = GPT3CompletionModel(
title=manuscript_title,
keywords=manuscript_keywords,
)
paragraph_text = "Text of the initial part"
prompt = model.get_prompt(paragraph_text, "introduction")
assert prompt is not None
assert isinstance(prompt, str)
assert "Introduction" in prompt
assert f"'{manuscript_title}'" in prompt
assert f"{manuscript_keywords[0]}" in prompt
assert f"{manuscript_keywords[1]}" in prompt
assert f"{manuscript_keywords[2]}" in prompt
assert paragraph_text in prompt
assert prompt.startswith("Revise")
assert " " not in prompt
def test_get_prompt_section_is_abstract():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "abstract")
assert prompt.startswith(
"Revise the following paragraph from the abstract of an academic paper "
)
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_section_is_introduction():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "introduction")
assert prompt.startswith(
"Revise the following paragraph from the Introduction section "
)
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_section_is_discussion():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "discussion")
assert prompt.startswith(
"Revise the following paragraph from the Discussion section "
)
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_section_is_methods():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "methods")
assert prompt.startswith("Revise the paragraph(s) below from the Methods ")
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_section_is_results():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "results")
assert prompt.startswith("Revise the following paragraph from the Results section ")
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_not_standard_section():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "acknowledgements")
assert prompt.startswith(
"Revise the following paragraph from the Acknowledgements section of an academic paper "
"(with title 'Test title' and keywords 'test, keywords') so the text "
)
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_section_not_provided():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text)
assert prompt.startswith(
"Revise the following paragraph of an academic paper "
"(with title 'Test title' and keywords 'test, keywords') so the text "
)
assert prompt.endswith(paragraph_text[-20:])
def test_get_prompt_section_is_none():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text)
assert prompt.startswith("Revise the following paragraph of an academic paper ")
assert prompt.endswith(paragraph_text[-20:])
@mock.patch.dict(
"os.environ",
{env_vars.CUSTOM_PROMPT: "proofread and revise the following paragraph"},
)
def test_get_prompt_custom_prompt_no_placeholders():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "introduction")
assert (
prompt == f"proofread and revise the following paragraph.\n\n{paragraph_text}"
)
prompt = model.get_prompt(paragraph_text, "methods")
assert (
prompt == f"proofread and revise the following paragraph.\n\n{paragraph_text}"
)
@mock.patch.dict(
"os.environ",
{
env_vars.CUSTOM_PROMPT: "proofread and revise the following paragraph from the {section_name} section"
},
)
def test_get_prompt_custom_prompt_with_section_name():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "introduction")
assert (
prompt
== f"proofread and revise the following paragraph from the introduction section.\n\n{paragraph_text}"
)
@mock.patch.dict(
"os.environ",
{
env_vars.CUSTOM_PROMPT: "proofread and revise the following paragraph of a manuscript with title '{title}'"
},
)
def test_get_prompt_custom_prompt_with_manuscript_title():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "introduction")
assert (
prompt
== f"proofread and revise the following paragraph of a manuscript with title 'Test title'.\n\n{paragraph_text}"
)
@mock.patch.dict(
"os.environ",
{
env_vars.CUSTOM_PROMPT: "proofread and revise the following paragraph of a manuscript with title '{title}' and keywords '{keywords}'"
},
)
def test_get_prompt_custom_prompt_with_manuscript_title_and_keywords():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "introduction")
assert (
prompt
== f"proofread and revise the following paragraph of a manuscript with title 'Test title' and keywords 'test, keywords'.\n\n{paragraph_text}"
)
@mock.patch.dict(
"os.environ",
{
env_vars.CUSTOM_PROMPT: "proofread and revise the following paragraph from the {section_name} section: {paragraph_text}"
},
)
def test_get_prompt_custom_prompt_with_paragraph_text():
model = GPT3CompletionModel(
title="Test title",
keywords=["test", "keywords"],
)
paragraph_text = """
This is the first sentence.
And this is the second sentence.
Finally, the third sentence.
""".strip()
prompt = model.get_prompt(paragraph_text, "introduction")
assert (
prompt
== f"proofread and revise the following paragraph from the introduction section: {paragraph_text}"
)