Replaced schema with scheme
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@@ -71,14 +71,14 @@ hinfluenzae_2014_102_bad_profile = MLSTProfile((
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), "unknown", "unknown")
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@pytest.mark.parametrize("local_db,database_api,database_name,schema_id,seq_path,feature_seqs_path,expected_profile,bad_profile", [
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@pytest.mark.parametrize("local_db,database_api,database_name,scheme_id,seq_path,feature_seqs_path,expected_profile,bad_profile", [
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(False, "https://bigsdb.pasteur.fr/api", "pubmlst_bordetella_seqdef", 3, "tohama_I_bpertussis.fasta", "tohama_I_bpertussis_features.fasta", bpertussis_tohamaI_profile, bpertussis_tohamaI_bad_profile),
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(False, "https://rest.pubmlst.org", "pubmlst_hinfluenzae_seqdef", 1, "2014-102_hinfluenza.fasta", "2014-102_hinfluenza_features.fasta", hinfluenzae_2014_102_profile, hinfluenzae_2014_102_bad_profile),
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])
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class TestBIGSdbMLSTProfiler:
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async def test_profiling_results_in_exact_matches_when_exact(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async def test_profiling_results_in_exact_matches_when_exact(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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sequence = get_first_sequence_from_fasta(seq_path)
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as dummy_profiler:
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as dummy_profiler:
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expected_alleles = mlst.alleles_to_mapping(expected_profile.alleles)
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targets_left = set(mlst.alleles_to_mapping(expected_profile.alleles).keys())
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async for exact_match in dummy_profiler.determine_mlst_allele_variants(query_sequence_strings=[sequence]):
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@@ -89,10 +89,10 @@ class TestBIGSdbMLSTProfiler:
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assert len(targets_left) == 0
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async def test_sequence_profiling_non_exact_returns_non_exact(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async def test_sequence_profiling_non_exact_returns_non_exact(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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target_sequences = get_multiple_sequences_from_fasta(feature_seqs_path)
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mlst_targets = {x.lower() for x in mlst.alleles_to_mapping(expected_profile.alleles).keys()}
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as profiler:
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as profiler:
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for target_sequence in target_sequences:
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match = re.fullmatch(r".*\[gene=([\w\d]+)\].*", target_sequence.description)
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if match is None:
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@@ -107,26 +107,26 @@ class TestBIGSdbMLSTProfiler:
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assert len(mlst_targets) == 0
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async def test_profiling_results_in_correct_mlst_st(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as dummy_profiler:
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async def test_profiling_results_in_correct_mlst_st(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as dummy_profiler:
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mlst_st_data = await dummy_profiler.determine_mlst_st(expected_profile.alleles)
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assert mlst_st_data is not None
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assert isinstance(mlst_st_data, MLSTProfile)
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assert mlst_st_data.clonal_complex == expected_profile.clonal_complex
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assert mlst_st_data.sequence_type == expected_profile.sequence_type
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async def test_profiling_non_exact_results_in_list_of_mlsts(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async def test_profiling_non_exact_results_in_list_of_mlsts(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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dummy_alleles = bad_profile.alleles
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as dummy_profiler:
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as dummy_profiler:
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mlst_profile = await dummy_profiler.determine_mlst_st(dummy_alleles)
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assert mlst_profile.clonal_complex == "unknown"
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assert mlst_profile.sequence_type == "unknown"
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async def test_bigsdb_profile_multiple_strings_same_string_twice(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async def test_bigsdb_profile_multiple_strings_same_string_twice(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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sequence = get_first_sequence_from_fasta(seq_path)
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dummy_sequences = [[NamedString("seq1", sequence)], [NamedString("seq2", sequence)]]
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as dummy_profiler:
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as dummy_profiler:
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async for named_profile in dummy_profiler.profile_multiple_strings(generate_async_iterable(dummy_sequences)):
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name, profile = named_profile.name, named_profile.mlst_profile
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assert profile is not None
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@@ -134,10 +134,10 @@ class TestBIGSdbMLSTProfiler:
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assert profile.clonal_complex == expected_profile.clonal_complex
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assert profile.sequence_type == expected_profile.sequence_type
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async def test_bigsdb_profile_multiple_strings_exactmatch_fail_second_no_stop(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async def test_bigsdb_profile_multiple_strings_exactmatch_fail_second_no_stop(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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valid_seq = get_first_sequence_from_fasta(seq_path)
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dummy_sequences = [[NamedString("seq1", valid_seq)], [NamedString("should_fail", gene_scrambler(valid_seq, 0.3))], [NamedString("seq3", valid_seq)]]
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as dummy_profiler:
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as dummy_profiler:
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async for name_profile in dummy_profiler.profile_multiple_strings(generate_async_iterable(dummy_sequences), True):
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name, profile = name_profile.name, name_profile.mlst_profile
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@@ -151,11 +151,11 @@ class TestBIGSdbMLSTProfiler:
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assert profile.clonal_complex == expected_profile.clonal_complex
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assert profile.sequence_type == expected_profile.sequence_type
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async def test_bigsdb_profile_multiple_strings_nonexact_second_no_stop(self, local_db, database_api, database_name, schema_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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async def test_bigsdb_profile_multiple_strings_nonexact_second_no_stop(self, local_db, database_api, database_name, scheme_id, seq_path: str, feature_seqs_path: str, expected_profile: MLSTProfile, bad_profile: MLSTProfile):
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valid_seq = get_first_sequence_from_fasta(seq_path)
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dummy_sequences = [[NamedString("seq1", valid_seq)], [NamedString("should_fail", gene_scrambler(valid_seq, 0.3))], [NamedString("seq3", valid_seq)]]
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, schema_id) as dummy_profiler:
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async with bigsdb.get_BIGSdb_MLST_profiler(local_db, database_api, database_name, scheme_id) as dummy_profiler:
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async for named_profile in dummy_profiler.profile_multiple_strings(generate_async_iterable(dummy_sequences), False):
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name, profile = named_profile.name, named_profile.mlst_profile
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@@ -183,12 +183,12 @@ class TestBIGSdbIndex:
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async with BIGSdbIndex() as bigsdb_index:
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assert (await bigsdb_index.get_bigsdb_api_from_seqdefdb("pubmlst_bordetella_seqdef")) == "https://bigsdb.pasteur.fr/api"
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async def test_bigsdb_index_get_schemas_for_bordetella(self):
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async def test_bigsdb_index_get_schemes_for_bordetella(self):
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async with BIGSdbIndex() as index:
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schemas = await index.get_schemas_for_seqdefdb(seqdef_db_name="pubmlst_bordetella_seqdef")
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assert len(schemas.keys()) > 0
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assert "MLST" in schemas
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assert isinstance(schemas["MLST"], int)
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schemes = await index.get_schemes_for_seqdefdb(seqdef_db_name="pubmlst_bordetella_seqdef")
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assert len(schemes.keys()) > 0
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assert "MLST" in schemes
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assert isinstance(schemes["MLST"], int)
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async def test_bigsdb_index_get_databases_has_only_seqdef(self):
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async with BIGSdbIndex() as index:
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