Change-detectors, tautologies, source-reading tests, redundant duplicates, mock-echo tests and dead/unrunnable tests. Per-test rationale in the lane ledger (category + reason for every removal).
169 lines
6.1 KiB
Python
169 lines
6.1 KiB
Python
"""Tests for batch_runner checkpoint behavior — incremental writes, resume, atomicity."""
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import json
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from pathlib import Path
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import pytest
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# batch_runner uses relative imports, ensure project root is on path
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import sys
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from batch_runner import BatchRunner, _process_batch_worker
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@pytest.fixture
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def runner(tmp_path):
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"""Create a BatchRunner with all paths pointing at tmp_path."""
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prompts_file = tmp_path / "prompts.jsonl"
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prompts_file.write_text("")
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output_file = tmp_path / "output.jsonl"
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checkpoint_file = tmp_path / "checkpoint.json"
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r = BatchRunner.__new__(BatchRunner)
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r.run_name = "test_run"
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r.checkpoint_file = checkpoint_file
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r.output_file = output_file
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r.prompts_file = prompts_file
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return r
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class TestSaveCheckpoint:
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"""Verify _save_checkpoint writes valid, atomic JSON."""
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def test_writes_valid_json(self, runner):
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data = {"run_name": "test", "completed_prompts": [1, 2, 3], "batch_stats": {}}
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runner._save_checkpoint(data)
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result = json.loads(runner.checkpoint_file.read_text())
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assert result["run_name"] == "test"
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assert result["completed_prompts"] == [1, 2, 3]
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def test_overwrites_previous_checkpoint(self, runner):
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runner._save_checkpoint({"run_name": "test", "completed_prompts": [1]})
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runner._save_checkpoint({"run_name": "test", "completed_prompts": [1, 2, 3]})
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result = json.loads(runner.checkpoint_file.read_text())
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assert result["completed_prompts"] == [1, 2, 3]
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def test_creates_parent_dirs(self, tmp_path):
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runner_deep = BatchRunner.__new__(BatchRunner)
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runner_deep.checkpoint_file = tmp_path / "deep" / "nested" / "checkpoint.json"
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data = {"run_name": "test", "completed_prompts": []}
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runner_deep._save_checkpoint(data)
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assert runner_deep.checkpoint_file.exists()
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def test_no_temp_files_left(self, runner):
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runner._save_checkpoint({"run_name": "test", "completed_prompts": []})
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tmp_files = [f for f in runner.checkpoint_file.parent.iterdir()
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if ".tmp" in f.name]
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assert len(tmp_files) == 0
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class TestLoadCheckpoint:
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"""Verify _load_checkpoint reads existing data or returns defaults."""
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def test_loads_existing_checkpoint(self, runner):
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data = {"run_name": "test_run", "completed_prompts": [5, 10, 15],
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"batch_stats": {"0": {"processed": 3}}}
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runner.checkpoint_file.write_text(json.dumps(data))
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result = runner._load_checkpoint()
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assert result["completed_prompts"] == [5, 10, 15]
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assert result["batch_stats"]["0"]["processed"] == 3
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def test_handles_corrupt_json(self, runner):
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runner.checkpoint_file.write_text("{broken json!!")
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result = runner._load_checkpoint()
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# Should return empty/default, not crash
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assert isinstance(result, dict)
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class TestBatchWorkerResumeBehavior:
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def test_discarded_no_reasoning_prompts_are_marked_completed(self, tmp_path, monkeypatch):
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batch_file = tmp_path / "batch_1.jsonl"
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prompt_result = {
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"success": True,
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"trajectory": [{"from": "human", "value": "hi"},
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{"role": "assistant", "content": "x"}],
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"reasoning_stats": {"has_any_reasoning": False},
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"tool_stats": {},
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"metadata": {},
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"completed": True,
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"api_calls": 1,
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"toolsets_used": [],
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}
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monkeypatch.setattr("batch_runner._process_single_prompt", lambda *args, **kwargs: prompt_result)
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result = _process_batch_worker((
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1,
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[(0, {"prompt": "hi"})],
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tmp_path,
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set(),
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{"verbose": False},
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))
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assert result["discarded_no_reasoning"] == 1
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assert result["completed_prompts"] == [0]
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# A tombstone row must be written so the content-based resume scan
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# can see this prompt was already processed and discarded.
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assert batch_file.exists()
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lines = [l for l in batch_file.read_text(encoding="utf-8").strip().split("\n") if l]
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assert len(lines) == 1
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entry = json.loads(lines[0])
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assert entry["discarded"] == "no_reasoning"
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# The lightweight tombstone carries the human prompt text so the
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# content scan can match it without a full trajectory payload.
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assert entry["prompt"] == "hi"
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def test_resume_after_all_discarded_batch_reruns_zero_prompts(self, tmp_path, monkeypatch):
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"""Regression for the issue: a resumed run must not re-execute
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prompts that were already processed and discarded for having no
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reasoning — the content-based scan must see the discard tombstone.
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"""
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prompt_result = {
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"success": True,
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"trajectory": [{"from": "human", "value": "hi"},
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{"role": "assistant", "content": "x"}],
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"reasoning_stats": {"has_any_reasoning": False},
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"tool_stats": {},
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"metadata": {},
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"completed": True,
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"api_calls": 1,
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"toolsets_used": [],
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}
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monkeypatch.setattr("batch_runner._process_single_prompt", lambda *args, **kwargs: prompt_result)
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# First run: prompt 0 gets processed and discarded, writing its
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# tombstone row into batch_1.jsonl.
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_process_batch_worker((1, [(0, {"prompt": "hi"})], tmp_path, set(), {"verbose": False}))
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# Simulate a fresh resume: scan batch files by content, exactly as
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# BatchRunner.run() does.
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r = BatchRunner.__new__(BatchRunner)
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r.output_dir = tmp_path
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completed_prompt_texts = r._scan_completed_prompts_by_content()
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assert "hi" in completed_prompt_texts, (
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"discarded prompt is invisible to the content-based resume scan"
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)
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r.dataset = [{"prompt": "hi"}]
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filtered_entries, skipped_indices = r._filter_dataset_by_completed(completed_prompt_texts)
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assert filtered_entries == [], "discarded prompt was rescheduled on resume"
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assert skipped_indices == [0]
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