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test/preview/components/generators/openai/test_openai_helpers.py
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from unittest.mock import Mock | ||
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import pytest | ||
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from haystack.preview.components.generators.openai._helpers import enforce_token_limit | ||
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@pytest.mark.unit | ||
def test_enforce_token_limit_above_limit(caplog): | ||
tokenizer = Mock() | ||
tokenizer.encode = lambda text: text.split() | ||
tokenizer.decode = lambda tokens: " ".join(tokens) | ||
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assert enforce_token_limit("This is a test prompt.", tokenizer=tokenizer, max_tokens_limit=3) == "This is a" | ||
def test_enforce_token_limit_above_limit(caplog, mock_tokenizer): | ||
prompt = enforce_token_limit("This is a test prompt.", tokenizer=mock_tokenizer, max_tokens_limit=3) | ||
assert prompt == "This is a" | ||
assert caplog.records[0].message == ( | ||
"The prompt has been truncated from 5 tokens to 3 tokens to fit within the max token " | ||
"limit. Reduce the length of the prompt to prevent it from being cut off." | ||
) | ||
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@pytest.mark.unit | ||
def test_enforce_token_limit_below_limit(caplog): | ||
tokenizer = Mock() | ||
tokenizer.encode = lambda text: text.split() | ||
tokenizer.decode = lambda tokens: " ".join(tokens) | ||
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assert ( | ||
enforce_token_limit("This is a test prompt.", tokenizer=tokenizer, max_tokens_limit=1000) | ||
== "This is a test prompt." | ||
) | ||
def test_enforce_token_limit_below_limit(caplog, mock_tokenizer): | ||
prompt = enforce_token_limit("This is a test prompt.", tokenizer=mock_tokenizer, max_tokens_limit=100) | ||
assert prompt == "This is a test prompt." | ||
assert not caplog.records |
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from unittest.mock import Mock | ||
import pytest | ||
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@pytest.fixture() | ||
def mock_tokenizer(): | ||
""" | ||
Tokenizes the string by splitting on spaces. | ||
""" | ||
tokenizer = Mock() | ||
tokenizer.encode = lambda text: text.split() | ||
tokenizer.decode = lambda tokens: " ".join(tokens) | ||
return tokenizer |