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import json
import shutil
from pathlib import Path
from tempfile import TemporaryDirectory
import pytest
from sec_certs import constants
from sec_certs.dataset import ProtectionProfileDataset
from sec_certs.dataset.cc import CCDataset
from sec_certs.sample.cc import CCCertificate
def test_download_and_convert_pdfs(toy_dataset: CCDataset, data_dir: Path):
for cert in toy_dataset:
print(cert.dgst, cert.old_dgst, cert.older_dgst)
template_report_pdf_hashes = {
"e3dcf91ef38ddbf0": "774c41fbba980191ca40ae610b2f61484c5997417b3325b6fd68b345173bde52",
"ed7611868f0f9d97": "533a5995ef8b736cc48cfda30e8aafec77d285511471e0e5a9e8007c8750203a",
"8f08cacb49a742fb": "e277151e4b279085cd3041ce914ffb3942b43e5ace911c557ad6b8ed764a4ece",
}
template_st_pdf_hashes = {
"e3dcf91ef38ddbf0": "b9a45995d9e40b2515506bbf5945e806ef021861820426c6d0a6a074090b47a9",
"ed7611868f0f9d97": "3c8614338899d956e9e56f1aa88d90e37df86f3310b875d9d14ec0f71e4759be",
"8f08cacb49a742fb": "fcee91f09bb72a6526a1f94d0ab754a6db3fbe3ba5773cd372df19788bb25292",
}
template_cert_pdf_hashes = {
"e3dcf91ef38ddbf0": "9d38bca310c4d349cc39471e0b75d939cc275db9a75b07b8a365d719cfbedcc5",
"ed7611868f0f9d97": None,
"8f08cacb49a742fb": "4ba78f26f505819183256ca5a6b404fa90c750fe160c41791e4c400f64e2f6d5",
}
with TemporaryDirectory() as td:
toy_dataset.copy_dataset(td)
toy_dataset.download_all_artifacts()
if not (
toy_dataset["e3dcf91ef38ddbf0"].state.report.download_ok
or toy_dataset["e3dcf91ef38ddbf0"].state.st.download_ok
or toy_dataset["e3dcf91ef38ddbf0"].state.cert.download_ok
or toy_dataset["ed7611868f0f9d97"].state.report.download_ok
or toy_dataset["ed7611868f0f9d97"].state.st.download_ok
or toy_dataset["8f08cacb49a742fb"].state.report.download_ok
or toy_dataset["8f08cacb49a742fb"].state.st.download_ok
or toy_dataset["8f08cacb49a742fb"].state.cert.download_ok
):
pytest.xfail(reason="Fail due to error during download")
toy_dataset.convert_all_pdfs()
for cert in toy_dataset:
assert cert.state.report.pdf_hash == template_report_pdf_hashes[cert.dgst]
assert cert.state.st.pdf_hash == template_st_pdf_hashes[cert.dgst]
assert cert.state.cert.pdf_hash == template_cert_pdf_hashes[cert.dgst]
assert not cert.state.report.convert_garbage
assert not cert.state.st.convert_garbage
assert cert.state.report.convert_ok
assert cert.state.st.convert_ok
assert cert.state.report.txt_path.exists()
assert cert.state.st.txt_path.exists()
if cert.cert_link:
assert cert.state.cert.txt_path.exists()
template_report_txt_path = data_dir / "report_e3dcf91ef38ddbf0.txt"
template_st_txt_path = data_dir / "target_e3dcf91ef38ddbf0.txt"
assert (
abs(toy_dataset["e3dcf91ef38ddbf0"].state.st.txt_path.stat().st_size - template_st_txt_path.stat().st_size)
< 1000
)
assert (
abs(
toy_dataset["e3dcf91ef38ddbf0"].state.report.txt_path.stat().st_size
- template_report_txt_path.stat().st_size
)
< 1000
)
def test_dataset_to_json(toy_dataset: CCDataset, data_dir: Path, tmp_path: Path):
toy_dataset.to_json(tmp_path / "dset.json")
with (tmp_path / "dset.json").open("r") as handle:
data = json.load(handle)
with (data_dir / "toy_dataset.json").open("r") as handle:
template_data = json.load(handle)
del data["timestamp"]
del template_data["timestamp"]
assert data == template_data
def test_dataset_from_json(toy_dataset: CCDataset, data_dir: Path, tmp_path):
assert toy_dataset == CCDataset.from_json(data_dir / "toy_dataset.json")
compressed_path = tmp_path / "dset.json.gz"
toy_dataset.to_json(compressed_path, compress=True)
decompressed_dataset = CCDataset.from_json(compressed_path, is_compressed=True)
assert toy_dataset == decompressed_dataset
def test_build_empty_dataset():
with TemporaryDirectory() as tmp_dir:
dset = CCDataset({}, Path(tmp_dir), "sample_dataset", "sample dataset description")
dset.get_certs_from_web(to_download=False, get_archived=False, get_active=False)
assert len(dset) == 0
assert dset.state.meta_sources_parsed
assert not dset.state.auxiliary_datasets_processed
assert not dset.state.artifacts_downloaded
assert not dset.state.pdfs_converted
assert not dset.state.certs_analyzed
def test_build_dataset(data_dir: Path, cert_one: CCCertificate, toy_dataset: CCDataset):
with TemporaryDirectory() as tmp_dir:
dataset_path = Path(tmp_dir)
(dataset_path / "web").mkdir()
shutil.copyfile(data_dir / "cc_products_active.csv", dataset_path / "web" / "cc_products_active.csv")
shutil.copyfile(data_dir / "cc_products_active.html", dataset_path / "web" / "cc_products_active.html")
dset = CCDataset({}, dataset_path, "sample_dataset", "sample dataset description")
dset.get_certs_from_web(
keep_metadata=False, to_download=False, get_archived=False, get_active=True, update_json=False
)
assert len(list(dataset_path.iterdir())) == 0
assert len(dset) == 3
assert cert_one in dset
assert dset == toy_dataset
@pytest.mark.xfail(reason="May fail due to error on CC server")
@pytest.mark.parametrize("dataset_class", ["CCDataset", "ProtectionProfileDataset"])
def test_download_csv_html_files(dataset_class):
with TemporaryDirectory() as tmp_dir:
constructor = CCDataset if dataset_class == "CCDataset" else ProtectionProfileDataset
min_html_size = constants.MIN_CC_HTML_SIZE if dataset_class == "CCDataset" else constants.MIN_PP_HTML_SIZE
dset = constructor(root_dir=Path(tmp_dir))
dset._download_html_resources(get_active=True, get_archived=False)
for x in dset.active_html_tuples:
assert x[1].exists()
assert x[1].stat().st_size >= min_html_size
if dataset_class == "CCDataset":
for x in dset.active_csv_tuples:
assert x[1].exists()
assert x[1].stat().st_size >= constants.MIN_CC_CSV_SIZE
def test_to_pandas(toy_dataset: CCDataset):
df = toy_dataset.to_pandas()
assert df.shape == (len(toy_dataset), len(CCCertificate.pandas_columns))
assert df.index.name == "dgst"
assert set(df.columns) == (set(CCCertificate.pandas_columns).union({"year_from"})) - {"dgst"}
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