Download tasks/csv-canon/tests/test_outputs.py from noodcon/TerminalBench-DockerLess: direct link, hf CLI and curl.
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3.45 kB
| import os | |
| import subprocess | |
| from pathlib import Path | |
| WORK = Path(os.environ["TB_WORK"]) | |
| BASH = os.environ.get("TB_BASH", "bash") | |
| CANON = "./bin/canon" | |
| def run_canon(source, target): | |
| return subprocess.run( | |
| [BASH, "-c", 'exec ./bin/canon "$@"', "canon", str(source), str(target)], | |
| cwd=str(WORK), | |
| capture_output=True, | |
| text=True, | |
| encoding="utf-8", | |
| ) | |
| def case_dir(): | |
| path = Path(os.environ["TB_ROOT"]) / "tmp" / "cases" | |
| path.mkdir(parents=True, exist_ok=True) | |
| return path | |
| def write_case(name, body, newline=""): | |
| path = case_dir() / name | |
| with open(path, "w", encoding="utf-8", newline=newline) as handle: | |
| handle.write(body) | |
| return path | |
| def test_missing_input_exits_2(): | |
| target = case_dir() / "missing.tsv" | |
| if target.exists(): | |
| target.unlink() | |
| proc = run_canon("does-not-exist.csv", target) | |
| assert proc.returncode == 2, proc.stderr | |
| assert proc.stderr.strip() == "no such file: does-not-exist.csv" | |
| assert not target.exists(), "output must not be created on error" | |
| def test_duplicate_column_exits_3(): | |
| source = write_case("dup.csv", "id,ID\n1,2\n") | |
| target = case_dir() / "dup.tsv" | |
| if target.exists(): | |
| target.unlink() | |
| proc = run_canon(source, target) | |
| assert proc.returncode == 3, proc.stderr | |
| assert proc.stderr.strip() == "duplicate column: ID" | |
| assert not target.exists() | |
| def test_malformed_row_exits_4_with_physical_line(): | |
| source = write_case("bad.csv", "id,sku\n1,a\n2,b,c\n") | |
| target = case_dir() / "bad.tsv" | |
| if target.exists(): | |
| target.unlink() | |
| proc = run_canon(source, target) | |
| assert proc.returncode == 4, proc.stderr | |
| assert proc.stderr.strip() == "malformed row: line 3" | |
| assert not target.exists() | |
| def test_orders_sample_is_canonicalised(): | |
| target = case_dir() / "orders.tsv" | |
| proc = run_canon("data/orders.csv", target) | |
| assert proc.returncode == 0, proc.stderr | |
| expected = ( | |
| "id\tsku\tqty\tprice\n" | |
| "1\tSKU-1\t5\t0.75\n" | |
| "1\tSKU-2\t10\t2\n" | |
| "2\tSKU-1\t5\t1000\n" | |
| "3\tSKU-9\t2\t1.5\n" | |
| ) | |
| assert target.read_bytes() == expected.encode("utf-8") | |
| def test_output_has_no_bom_and_uses_lf(): | |
| target = case_dir() / "orders.tsv" | |
| run_canon("data/orders.csv", target) | |
| raw = target.read_bytes() | |
| assert not raw.startswith(b"\xef\xbb\xbf") | |
| assert b"\r" not in raw | |
| def test_embedded_newline_survives(): | |
| source = write_case("multi.csv", 'id,note\n2,"line one\nline two"\n1,plain\n') | |
| target = case_dir() / "multi.tsv" | |
| proc = run_canon(source, target) | |
| assert proc.returncode == 0, proc.stderr | |
| expected = "id\tnote\n1\tplain\n2\tline one\nline two\n" | |
| assert target.read_bytes() == expected.encode("utf-8") | |
| def test_numeric_normalisation(): | |
| source = write_case( | |
| "nums.csv", "id,v\n1,+5\n2,007\n3,-0\n4,1.0\n5,2.5e-3\n6,abc\n" | |
| ) | |
| target = case_dir() / "nums.tsv" | |
| proc = run_canon(source, target) | |
| assert proc.returncode == 0, proc.stderr | |
| expected = "id\tv\n1\t5\n2\t7\n3\t0\n4\t1\n5\t0.0025\n6\tabc\n" | |
| assert target.read_bytes() == expected.encode("utf-8") | |
| def test_sorting_is_byte_order_not_numeric(): | |
| source = write_case("ids.csv", "id,x\n10,a\n9,b\n") | |
| target = case_dir() / "ids.tsv" | |
| proc = run_canon(source, target) | |
| assert proc.returncode == 0, proc.stderr | |
| assert target.read_bytes() == b"id\tx\n10\ta\n9\tb\n" | |