From 47bf00a374f3e7a687be17437fa6976407f002a2 Mon Sep 17 00:00:00 2001 From: mfl15 <144844529+mfl15@users.noreply.github.com> Date: Tue, 3 Oct 2023 11:02:37 -0400 Subject: [PATCH] Updating unit tests, adding to pipeline (#24) * Updating unit tests, adding to pipeline * fixing tests, deleting unused files --------- Co-authored-by: David Koslicki --- .github/workflows/runTest.yml | 8 +- depreciated/old_code.py | 2 +- run_YACHT.py | 2 +- srcs/utils.py | 7 +- tests/profiling/for_profiling.py | 4 +- tests/test_utils.py | 71 ++++++++++++++++++ tests/test_workflow.py | 21 ++---- .../integration_test_hash_to_col_idx.pkl | Bin 0 -> 766172 bytes 8 files changed, 95 insertions(+), 20 deletions(-) mode change 100755 => 100644 run_YACHT.py create mode 100644 tests/test_utils.py mode change 100755 => 100644 tests/test_workflow.py create mode 100644 tests/testdata/integration_test_hash_to_col_idx.pkl diff --git a/.github/workflows/runTest.yml b/.github/workflows/runTest.yml index 599c5b7..66c2b5a 100644 --- a/.github/workflows/runTest.yml +++ b/.github/workflows/runTest.yml @@ -15,4 +15,10 @@ jobs: - name: make training data run: python make_training_data_from_sketches.py --ref_file 'tests/testdata/20_genomes_sketches.zip' --ksize 31 --out_prefix 'gtdb_ani_thresh_0.95' --ani_thresh 0.95 - name: run YACHT - run: python run_YACHT.py --json 'gtdb_ani_thresh_0.95_config.json' --sample_file 'tests/testdata/sample.sig' --significance 0.99 --min_coverage 1 --outdir './' \ No newline at end of file + run: python run_YACHT.py --json 'gtdb_ani_thresh_0.95_config.json' --sample_file 'tests/testdata/sample.sig' --significance 0.99 --min_coverage 1 --outdir './' + - name: test-unit + run: pytest tests/test_unit.py + - name: test-utils + run: pytest tests/test_utils.py + - name: test-workflow + run: pytest tests/test_workflow.py diff --git a/depreciated/old_code.py b/depreciated/old_code.py index f37547c..acf08b3 100644 --- a/depreciated/old_code.py +++ b/depreciated/old_code.py @@ -70,7 +70,7 @@ def sample_vector_from_files(sig_filename, hash_filename, ksize): :return: numpy vector (sample vector y) """ sample_sig = utils.load_signature_with_ksize(sig_filename, ksize) - hash_to_idx = utils.load_hashes(hash_filename) + hash_to_idx = utils.load_hashes_to_index(hash_filename) sample_vector, num_hash_diff_unique, num_hash_diff_total = sample_vector_from_signature(sample_sig, hash_to_idx) return sample_vector, sample_sig, num_hash_diff_unique, num_hash_diff_total diff --git a/run_YACHT.py b/run_YACHT.py old mode 100755 new mode 100644 index d5db3a3..d82b79a --- a/run_YACHT.py +++ b/run_YACHT.py @@ -71,7 +71,7 @@ # load the training data logger.info('Loading reference matrix, hash to index dictionary, and organism data.') reference_matrix = load_npz(reference_matrix_path) - hash_to_idx = utils.load_hashes(hash_to_idx_path) + hash_to_idx = utils.load_hashes_to_index(hash_to_idx_path) organism_data = pd.read_csv(processed_org_file_path) logger.info('Loading sample signature.') diff --git a/srcs/utils.py b/srcs/utils.py index 077f8ca..3360602 100644 --- a/srcs/utils.py +++ b/srcs/utils.py @@ -10,7 +10,7 @@ logger.remove() logger.add(sys.stdout, format="{time:YYYY-MM-DD HH:mm:ss} - {level} - {message}", level="INFO") -def load_hashes(filename): +def load_hashes_to_index(filename): """ Helper function that loads the hash_to_col_idx.pkl file and returns a dictionary mapping hashes to indices in the training dictionary. filename should point to a CSV file with two columns: hash, col_idx. @@ -31,7 +31,10 @@ def load_signature_with_ksize(filename, ksize): :return: sourmash signature """ # Take the first sample signature with the given kmer size - return list(sourmash.load_file_as_signatures(filename, ksize=ksize))[0] + sketches = list(sourmash.load_file_as_signatures(filename, ksize=ksize)) + if len(sketches) != 1: + raise ValueError(f"Expected exactly one signature with ksize {ksize} in {filename}, found {len(sketches)}") + return sketches[0] if sketches else 0 def get_num_kmers(signature, scale=True): diff --git a/tests/profiling/for_profiling.py b/tests/profiling/for_profiling.py index 8b9667c..72ef136 100644 --- a/tests/profiling/for_profiling.py +++ b/tests/profiling/for_profiling.py @@ -32,7 +32,7 @@ import sourmash -def load_hashes(filename): +def load_hashes_to_index(filename): """ Helper function that loads the hash_to_col_idx.csv file and returns a dictionary mapping hashes to indices in the training dictionary. filename should point to a CSV file with two columns: hash, col_idx. @@ -124,7 +124,7 @@ def run_YACHT(): # load the training data reference_matrix = load_npz(ref_matrix) - hash_to_idx = load_hashes(hash_to_idx_file) + hash_to_idx = load_hashes_to_index(hash_to_idx_file) organism_data = pd.read_csv(processed_org_file) # get the sample y vector (indexed by hash/k-mer, with entry = number of times k-mer appears in sample) diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 0000000..cdc046d --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,71 @@ +import subprocess +from os.path import exists +import os +import numpy as np +import pandas as pd +# add the parent directory to the path +import sys +sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) +from srcs import utils +import sourmash + + +def to_testing_data(file): + return os.path.join('tests', os.path.join("testdata", file)) + + +def test_load_hashes_to_index(): + # the *hash_to_col_idx.pkl files contain a pickle list of key value pairs with keys the hash values and values + # the index of the row that they appear in the npz matrix + file = to_testing_data("integration_test_hash_to_col_idx.pkl") + hashes = utils.load_hashes_to_index(file) + assert type(hashes) == dict + assert len(hashes) == 63888 + assert np.allclose(np.sort(list(hashes.values())), range(0, len(hashes))) + + +def test_load_signature_with_ksize1(): + # first, just try a *.sig file + file = to_testing_data("sample.sig") + sig = utils.load_signature_with_ksize(file, 31) + # right type? + assert type(sig) == sourmash.signature.FrozenSourmashSignature + # can we do a simple operation on it? + assert sig.jaccard(sig) == 1.0 + + +def test_load_signature_with_ksize2(): + # wrong k-size + file = to_testing_data("sample.sig") + try: + sig = utils.load_signature_with_ksize(file, 21) + except ValueError: + pass + # wrong file type + file = to_testing_data("foobar") + try: + sig = utils.load_signature_with_ksize(file, 31) + except ValueError: + pass + # too many files + try: + sig = utils.load_signature_with_ksize(to_testing_data("20_genomes_sketches.zip"), 31) + except ValueError: + pass + + +def test_load_signature_with_ksize3(): + # different kind of format + file = to_testing_data("sample.sig") + sig = utils.load_signature_with_ksize(file, 31) + sourmash.save_signatures([sig], open(to_testing_data('test.sig.zip'), 'wb'), compression=1) + sig = utils.load_signature_with_ksize(to_testing_data('test.sig.zip'), 31) + assert type(sig) == sourmash.signature.FrozenSourmashSignature + assert sig.jaccard(sig) == 1.0 + + + + + + + diff --git a/tests/test_workflow.py b/tests/test_workflow.py old mode 100755 new mode 100644 index 0cc6cad..df8b2b4 --- a/tests/test_workflow.py +++ b/tests/test_workflow.py @@ -10,10 +10,11 @@ def test_full_workflow(): :return: None """ script_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) # currently one level above ./tests - data_dir = "testdata" + test_dir = os.path.join(script_dir, 'tests') + data_dir = os.path.join(test_dir, 'testdata') out_prefix = "integration_test" full_out_prefix = os.path.join(data_dir, out_prefix) - abundance_file = full_out_prefix + "recovered_abundance.csv" + abundance_file = full_out_prefix + "recovered_abundance.xlsx" reference_sketches = os.path.join(data_dir, "20_genomes_sketches.zip") sample_sketches = os.path.join(data_dir, "sample.sig") expected_files = map(lambda x: full_out_prefix + x, ["_hash_to_col_idx.csv", "_processed_org_idx.csv", @@ -38,23 +39,17 @@ def test_full_workflow(): # then do the abundance estimation if exists(abundance_file): os.remove(abundance_file) - cmd = f"python {os.path.join(script_dir, 'run_YACHT.py')} --database_prefix " \ - f"{full_out_prefix} --sample_file " \ - f"{sample_sketches} --outfile {abundance_file}" - #print(cmd) + cmd = f"python {os.path.join(script_dir, 'run_YACHT.py')} --json {os.path.join(script_dir, 'gtdb_ani_thresh_0.95_config.json')} --sample_file {sample_sketches} --significance 0.99 --min_coverage 1 --outdir {data_dir} --out_filename {abundance_file}" + # print(cmd) res = subprocess.run(cmd, shell=True, check=True) # check that no errors were raised assert res.returncode == 0 # check that the output file exists assert exists(abundance_file) # check if CP032507.1 has correct abundance of 6 - df = pd.read_csv(abundance_file, sep=",", header=0) + df = pd.read_excel(abundance_file) present_organism = "CP032507.1 Ectothiorhodospiraceae bacterium BW-2 chromosome, complete genome" - # test if there are k-mers in common - assert df[df['organism_name'] == present_organism]["nontrivial_overlap"].values[0] == 1 # but not enough to claim presence - assert df[df['organism_name'] == present_organism]["in_sample_est"].values[0] == 0 - # since the threshold was 706 k-mers - assert df[df['organism_name'] == present_organism]["acceptance_threshold_wo_coverage"].values[0] == 706 + assert len(df[df['organism_name'] == present_organism]["in_sample_est"].values) == 0 # and we only observed 2 k-mers in the sample - assert df[df['organism_name'] == present_organism]["num_matches"].values[0] == 2 + assert len(df[df['organism_name'] == present_organism]["num_matches"].values) == 0 diff --git a/tests/testdata/integration_test_hash_to_col_idx.pkl b/tests/testdata/integration_test_hash_to_col_idx.pkl new file mode 100644 index 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