Files
hermes-agent/tests/test_batch_runner_checkpoint.py
teknium1 524c38a98a test: purge low-value tests, lane py16 (624 removed)
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).
2026-09-23 03:15:26 -07:00

169 lines
6.1 KiB
Python

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