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#!/usr/bin/env python3
"""
Unit tests for dataset loaders
"""
import json
import tempfile
import os
from pathlib import Path
import pytest
from datasets import Dataset
from training.data_loader import (
load_wikitext,
load_jsonl,
load_hf_dataset,
auto_load_dataset,
_detect_jsonl_schema,
_process_jsonl_item
)
class TestJSONLProcessing:
"""Test JSONL processing functions"""
def test_detect_sft_schema(self):
"""Test SFT schema detection"""
sample = {
"instruction": "What is the capital of France?",
"input": "",
"output": "The capital of France is Paris."
}
assert _detect_jsonl_schema(sample) == "sft"
def test_detect_dialogue_schema(self):
"""Test dialogue schema detection"""
sample = {
"messages": [
{"role": "user", "content": "Hello"},
{"role": "assistant", "content": "Hi there!"}
]
}
assert _detect_jsonl_schema(sample) == "dialogue"
def test_detect_plain_schema(self):
"""Test plain text schema detection"""
sample = {"text": "This is plain text"}
assert _detect_jsonl_schema(sample) == "plain"
def test_process_sft_item(self):
"""Test SFT item processing"""
item = {
"instruction": "What is the capital of France?",
"input": "",
"output": "The capital of France is Paris."
}
result = _process_jsonl_item(item, "sft")
assert result is not None
assert "text" in result
assert "prompt" in result
assert "response" in result
assert "Paris" in result["text"]
def test_process_sft_item_with_input(self):
"""Test SFT item processing with input"""
item = {
"instruction": "Translate to French",
"input": "Hello world",
"output": "Bonjour le monde"
}
result = _process_jsonl_item(item, "sft")
assert result is not None
assert "Input:" in result["text"]
assert "Hello world" in result["text"]
assert "Bonjour le monde" in result["text"]
def test_process_dialogue_item(self):
"""Test dialogue item processing"""
item = {
"messages": [
{"role": "user", "content": "Hello"},
{"role": "assistant", "content": "Hi there!"}
]
}
result = _process_jsonl_item(item, "dialogue")
assert result is not None
assert "text" in result
assert "messages" in result
assert "user: Hello" in result["text"]
assert "assistant: Hi there!" in result["text"]
def test_process_plain_item(self):
"""Test plain text item processing"""
item = {"text": "This is plain text"}
result = _process_jsonl_item(item, "plain")
assert result is not None
assert result["text"] == "This is plain text"
def test_process_invalid_item(self):
"""Test processing invalid item"""
item = {"invalid": "data"}
result = _process_jsonl_item(item, "sft")
assert result is None
class TestJSONLLoader:
"""Test JSONL dataset loading"""
def test_load_jsonl_sft(self):
"""Test loading SFT JSONL dataset"""
# Create temporary JSONL file
with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
jsonl_data = [
{"instruction": "What is 2+2?", "input": "", "output": "4"},
{"instruction": "What is the capital of France?", "input": "", "output": "Paris"},
{"instruction": "Translate hello", "input": "hello", "output": "hola"},
]
for item in jsonl_data:
f.write(json.dumps(item) + '\n')
temp_path = f.name
try:
train_dataset, eval_dataset = load_jsonl(temp_path, "sft")
assert len(train_dataset) > 0
assert len(eval_dataset) > 0
assert len(train_dataset) + len(eval_dataset) == 3
# Check that data is processed correctly
sample = train_dataset[0]
assert "text" in sample
assert "instruction" in sample["text"].lower()
finally:
os.unlink(temp_path)
def test_load_jsonl_dialogue(self):
"""Test loading dialogue JSONL dataset"""
# Create temporary JSONL file
with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
jsonl_data = [
{
"messages": [
{"role": "user", "content": "Hello"},
{"role": "assistant", "content": "Hi there!"}
]
},
{
"messages": [
{"role": "user", "content": "How are you?"},
{"role": "assistant", "content": "I'm doing well, thanks!"}
]
}
]
for item in jsonl_data:
f.write(json.dumps(item) + '\n')
temp_path = f.name
try:
train_dataset, eval_dataset = load_jsonl(temp_path, "dialogue")
assert len(train_dataset) > 0
assert len(eval_dataset) > 0
assert len(train_dataset) + len(eval_dataset) == 2
# Check that data is processed correctly
sample = train_dataset[0]
assert "text" in sample
assert "user:" in sample["text"]
assert "assistant:" in sample["text"]
finally:
os.unlink(temp_path)
def test_load_jsonl_auto_detect(self):
"""Test loading JSONL with auto-detection"""
# Create temporary JSONL file
with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
jsonl_data = [
{"instruction": "What is 2+2?", "input": "", "output": "4"},
{"instruction": "What is the capital of France?", "input": "", "output": "Paris"},
]
for item in jsonl_data:
f.write(json.dumps(item) + '\n')
temp_path = f.name
try:
train_dataset, eval_dataset = load_jsonl(temp_path, "auto")
assert len(train_dataset) > 0
assert len(eval_dataset) > 0
finally:
os.unlink(temp_path)
def test_load_jsonl_invalid_file(self):
"""Test loading non-existent JSONL file"""
with pytest.raises(FileNotFoundError):
load_jsonl("nonexistent.jsonl")
def test_load_jsonl_invalid_json(self):
"""Test loading JSONL with invalid JSON"""
with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
f.write("invalid json content\n")
f.write('{"valid": "json"}\n')
temp_path = f.name
try:
# Should not raise exception, but skip invalid lines
train_dataset, eval_dataset = load_jsonl(temp_path)
assert len(train_dataset) + len(eval_dataset) == 1
finally:
os.unlink(temp_path)
class TestAutoLoadDataset:
"""Test automatic dataset loading"""
def test_auto_load_wikitext(self):
"""Test auto-loading Wikitext dataset"""
train_dataset, eval_dataset, metadata = auto_load_dataset("wikitext")
assert len(train_dataset) > 0
assert len(eval_dataset) > 0
assert metadata["dataset_type"] == "wikitext"
assert metadata["text_field"] == "text"
assert metadata["schema"] == "plain"
def test_auto_load_jsonl(self):
"""Test auto-loading JSONL dataset"""
# Create temporary JSONL file
with tempfile.NamedTemporaryFile(mode='w', suffix='.jsonl', delete=False) as f:
jsonl_data = [
{"instruction": "What is 2+2?", "input": "", "output": "4"},
{"instruction": "What is the capital of France?", "input": "", "output": "Paris"},
]
for item in jsonl_data:
f.write(json.dumps(item) + '\n')
temp_path = f.name
try:
train_dataset, eval_dataset, metadata = auto_load_dataset(f"jsonl:{temp_path}")
assert len(train_dataset) > 0
assert len(eval_dataset) > 0
assert metadata["dataset_type"] == "jsonl"
assert metadata["file_path"] == temp_path
finally:
os.unlink(temp_path)
def test_auto_load_hf_dataset(self):
"""Test auto-loading Hugging Face dataset"""
# This test might fail if the dataset is not available
# We'll use a small, commonly available dataset
try:
train_dataset, eval_dataset, metadata = auto_load_dataset("hf:imdb")
assert len(train_dataset) > 0
assert len(eval_dataset) > 0
assert metadata["dataset_type"] == "hf"
assert metadata["dataset_name"] == "imdb"
assert metadata["text_field"] == "text"
except Exception as e:
# If the dataset is not available, that's okay for testing
pytest.skip(f"HF dataset not available: {e}")
if __name__ == "__main__":
pytest.main([__file__])
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