def test_nisin_complete(self):
with TemporaryDirectory() as output_dir:
args = ["--minimal", "--enable-tta", "--tta-threshold", "0",
"--output-dir", output_dir, helpers.get_path_to_nisin_genbank()]
options = build_config(args, isolated=True, modules=antismash.get_all_modules())
antismash.run_antismash(helpers.get_path_to_nisin_genbank(), options)
# regen the results
update_config({"reuse_results": os.path.join(output_dir, "nisin.json")})
prior_results = read_data(None, options)
record = prior_results.records[0]
results = prior_results.results[0]
tta_results = tta.regenerate_previous_results(results.get("antismash.modules.tta"), record, options)
assert isinstance(tta_results, tta.TTAResults)
assert len(tta_results.features) == 174
# raise the threshold above the gc_content and ensure regenned has no hits
update_config({"tta_threshold": 0.65})
tta_results = tta.regenerate_previous_results(results.get("antismash.modules.tta"), record, options)
assert isinstance(tta_results, tta.TTAResults)
assert not tta_results.features
def setUp(self):
self.config = build_config([
"--cf-create-clusters", "--cf-mean-threshold", "0.6",
"--cf-min-cds", "5", "--cf-min-pfams", "5"
],
modules=[clusterfinder],
isolated=True)
update_config({"enabled_cluster_types": []})
self.record = DummyRecord(seq=Seq("A" * 2000))
for start, end, probability, pfam_id in [(10, 20, 0.1, 'PF77777'),
(30, 40, 0.3, 'PF00106'),
(50, 60, 0.4, 'PF00107'),
(60, 70, 0.7, 'PF00109'),
(70, 80, 0.98, 'PF08484'),
(90, 100, 0.8, 'PF02401'),
(100, 110, 0.32, 'PF04369'),
(110, 120, 1.0, 'PF00128'),
(130, 140, 0.2, 'PF77776'),
(500, 505, None, 'PF77775'),
(1010, 1020, 0.1, 'PF77774'),
(1030, 1040, 0.3, 'PF00106'),
(1050, 1060, 0.4, 'PF00107'),
(1060, 1070, 0.7, 'PF00109'),
(1070, 1080, 0.98, 'PF08484'),
(1090, 1100, 0.8, 'PF02401'),
(1100, 1110, 0.32, 'PF04369'),
(1110, 1120, 1.0, 'PF00128')]:
location = FeatureLocation(start, end, strand=1)
self.record.add_cds_feature(
CDSFeature(location, locus_tag=str(start), translation="A"))
pfam = PFAMDomain(location,
"dummy_description",
protein_start=start + 1,
protein_end=end - 1,
identifier=pfam_id,
tool="test")
pfam.domain_id = "pfam_%d" % start
pfam.probability = probability
self.record.add_pfam_domain(pfam)
def test_nisin_complete(self):
with TemporaryDirectory() as output_dir:
args = [
"--minimal", "--tta", "--output-dir", output_dir,
helpers.get_path_to_nisin_genbank()
]
options = build_config(args,
isolated=True,
modules=antismash.get_all_modules())
antismash.run_antismash(helpers.get_path_to_nisin_genbank(),
options)
# regen the results
update_config(
{"reuse_results": os.path.join(output_dir, "nisin.json")})
prior_results = read_data(None, options)
record = prior_results.records[0]
results = prior_results.results[0]
regenned = regenerate_results_for_record(record, options, [tta],
results)
tta_results = regenned["antismash.modules.tta"]
assert isinstance(tta_results, tta.TTAResults)
assert len(tta_results.features) == 174
def setUp(self):
class DummyModule:
def __init__(self):
self.was_run = False
def get_arguments(self):
args = config.args.ModuleArgs("genefinding", "genefinding")
args.add_option("gff3",
default="",
type=str,
help="dummy",
dest="gff3")
return args
def run_on_record(self, *_args, **_kwargs):
self.was_run = True
self.genefinding = DummyModule()
options = config.build_config(["--cpus", "1"],
isolated=True,
modules=[self.genefinding])
config.update_config({"triggered_limit": False})
self.options = options
def setUp(self):
build_config([])
self.query_data = fasta.read_fasta(
path.get_full_path(__file__, 'data', 'SCO_genes.fasta'))
def setUp(self):
self.config = build_config(["--minimal", "--enable-thiopeptides", "--cpus", "1"],
isolated=True, modules=antismash.get_all_modules())
def setUp(self):
# skipping clusterhmmer and the p450 potential hits for speed
self.options = build_config(["--minimal"],
isolated=True,
modules=antismash.get_all_modules())
def setup_options(self, args):
return build_config(args,
isolated=True,
modules=antismash.get_all_modules())
def setUp(self):
self.url = build_config([]).urls.docs_baseurl
def setUp(self):
self.config = build_config(["--cf-create-clusters"],
modules=[clusterfinder],
isolated=True)
self.record = DummyRecord()
def setUp(self):
self.options = build_config(["--minimal", "--enable-lassopeptides"],
isolated=True, modules=antismash.get_all_modules())
check_prereqs(self.options)
def setUp(self):
config.build_config([], isolated=True)
def setUp(self):
build_config([])
def setUp(self):
self.temp_dir = TemporaryDirectory()
self.config = build_config(self.get_args() + ["--out", self.temp_dir.name],
isolated=True, modules=get_all_modules())
def test_check_prereqs(self):
options = build_config(["--check-prereqs"], isolated=False, modules=get_all_modules())
assert run_antismash("", options) == 0
def setUp(self):
build_config([], isolated=True, modules=get_all_modules())
def setUp(self):
self.options = build_config(["--minimal", "--enable-lanthipeptides"],
isolated=True,
modules=antismash.get_all_modules())
self.set_fimo_enabled(True)
def setUp(self):
self.options = build_config(["--minimal", "--enable-lanthipeptides"],
isolated=True,
modules=antismash.get_all_modules())
self.set_fimo_enabled(False)
assert lanthi_config.get_config().fimo_present is False
def setUp(self):
self.config_cpus = 2
build_config(["--cpus", str(self.config_cpus)])
assert get_config().executables
assert get_config().cpus == 2
def setUp(self):
self.options = build_config(["--minimal"], isolated=True, modules=antismash.get_all_modules())
assert not nrps_pks.is_enabled(self.options)
self.tracker = minimock.TraceTracker()
minimock.mock("nrps_pks.run_on_record", tracker=self.tracker)
def setUp(self):
options = build_config(["--minimal", "--tta"], isolated=True,
modules=antismash.get_all_modules())
self.old_config = get_config().__dict__
self.options = update_config(options)
def setUp(self):
self.options = build_config(["--minimal", "--enable-nrps-pks"],
isolated=True, modules=antismash.get_all_modules())
def setUp(self):
self.options = build_config(["--minimal", "--rre-run"],
isolated=True, modules=antismash.get_all_modules())
def setUp(self):
self.config = build_config([])
self.rules_file = path.get_full_path(__file__, "..", "cluster_rules",
"strict.txt")
self.signature_file = path.get_full_path(__file__, "..", "data",
"hmmdetails.txt")
self.signature_names = {
sig.name
for sig in core.get_signature_profiles()
}
self.filter_file = path.get_full_path(__file__, "..",
"filterhmmdetails.txt")
self.results_by_id = {
"GENE_1": [
FakeHSPHit("modelA", "GENE_1", 0, 10, 50, 0),
FakeHSPHit("modelB", "GENE_1", 0, 10, 50, 0)
],
"GENE_2": [
FakeHSPHit("modelC", "GENE_2", 0, 10, 50, 0),
FakeHSPHit("modelB", "GENE_2", 0, 10, 50, 0)
],
"GENE_3": [
FakeHSPHit("modelC", "GENE_3", 0, 10, 50, 0),
FakeHSPHit("modelF", "GENE_3", 0, 10, 50, 0)
],
"GENE_4": [
FakeHSPHit("modelA", "GENE_4", 0, 10, 50, 0),
FakeHSPHit("modelE", "GENE_4", 0, 10, 50, 0)
],
"GENE_5": [
FakeHSPHit("modelA", "GENE_5", 0, 10, 50, 0),
FakeHSPHit("modelG", "GENE_5", 0, 10, 50, 0)
]
}
self.feature_by_id = {
"GENE_1": DummyCDS(0, 30000, locus_tag="GENE_1"),
"GENE_2": DummyCDS(30000, 50000, locus_tag="GENE_2"),
"GENE_3": DummyCDS(70000, 90000, locus_tag="GENE_3"),
"GENE_X": DummyCDS(95000, 100000, locus_tag="GENE_X"), # no hits
"GENE_4": DummyCDS(125000, 140000, locus_tag="GENE_4"),
"GENE_5": DummyCDS(130000, 150000, locus_tag="GENE_5")
}
self.test_names = {
"modelA", "modelB", "modelC", "modelF", "modelG", "a", "b", "c",
"d"
}
self.rules = rule_parser.Parser(
"\n".join([
"RULE MetaboliteA CUTOFF 10 NEIGHBOURHOOD 5 CONDITIONS modelA",
"RULE MetaboliteB CUTOFF 10 NEIGHBOURHOOD 5 CONDITIONS cds(modelA and modelB)",
"RULE MetaboliteC CUTOFF 10 NEIGHBOURHOOD 5 CONDITIONS (modelA and modelB)",
"RULE MetaboliteD CUTOFF 20 NEIGHBOURHOOD 5 CONDITIONS minimum(2,[modelC,modelB]) and modelA",
"RULE Metabolite0 CUTOFF 1 NEIGHBOURHOOD 3 CONDITIONS modelF",
"RULE Metabolite1 CUTOFF 1 NEIGHBOURHOOD 3 CONDITIONS modelG"
]), self.test_names).rules
self.features = []
for gene_id in self.feature_by_id:
self.features.append(self.feature_by_id[gene_id])
self.features.sort(
key=lambda x: x.location.start) # vital for py3 < 3.5
self.record = Record()
self.record._record.seq = Seq("A" * 150000)
for feature in self.features:
self.record.add_cds_feature(feature)
def setUp(self):
self.tempdir = TemporaryDirectory(prefix="as_cassis")
self.options = build_config(
["--cpus", "2", "--output-dir", self.tempdir.name],
isolated=True,
modules=[cassis])
def build_config(self, args):
self.default_options = build_config(args, isolated=True, modules=get_all_modules())
self.default_options.all_enabled_modules = []
self.default_options.output_dir = self.temp_dir.name
def test_help_options(self):
for option in ["--list-plugins"]:
options = build_config([option], isolated=False, modules=self.all_modules)
ret_val = main.run_antismash("", options)
assert ret_val == 0
def setUp(self):
self.options = build_config(["--sideload", GOOD_FILE],
isolated=True,
modules=antismash.main.get_all_modules())
def setUp(self):
config.build_config({})
def setUp(self):
options = build_config([], isolated=True, modules=get_all_modules())
self.old_config = get_config().__dict__
self.options = update_config(options)
