def __init__(self, config):
"""
:param config:
:param logger:
:param directory: Working directory
:param urls: Service urls
"""
# BEGIN_CONSTRUCTOR
self.ws_url = config["workspace-url"]
self.ws_url = config["workspace-url"]
self.callback_url = config['SDK_CALLBACK_URL']
self.srv_wiz_url = config['srv-wiz-url']
self.token = config['KB_AUTH_TOKEN']
self.shock_url = config['shock-url']
self.dfu = DataFileUtil(self.callback_url)
self.gfu = GenomeFileUtil(self.callback_url)
self.au = AssemblyUtil(self.callback_url)
self.rau = ReadsAlignmentUtils(self.callback_url)
self.set_api = SetAPI(self.srv_wiz_url, service_ver='dev')
self.eu = ExpressionUtils(self.callback_url)
self.ws = Workspace(self.ws_url, token=self.token)
self.scratch = os.path.join(config['scratch'], str(uuid.uuid4()))
self._mkdir_p(self.scratch)
self.tool_used = "Cufflinks"
self.tool_version = os.environ['VERSION']
# END_CONSTRUCTOR
pass
def _stage_assembly_files(self, object_list):
"""
_stage_assembly_files: download the fasta files to the scratch area
return list of file names
"""
log('Processing assembly object list: {}'.format(object_list))
# Sourmash uses the sequence filename as the default label for the signatures
# this includes the complete file path. So keeping the sequence file name as close
# to the desired label as possible is the reason not to place each file under
# a 'fasta' directory or inlude the '.fa' file extension
auc = AssemblyUtil(self.callbackURL)
staged_file_list = []
for assembly_upa in object_list:
try:
file_ = auc.get_assembly_as_fasta({'ref':
assembly_upa})['path']
except AssemblyUtilError as assembly_error:
print(str(assembly_error))
raise
filename = os.path.basename(file_).replace('.fa', '')
to_upper_command = "awk '{ if ($0 !~ />/) {print toupper($0)} else {print $0} }' " \
+ file_ + ' > tmp.fa ' + '&& mv tmp.fa ' + filename
self._run_command(to_upper_command)
staged_file_list.append(filename)
log('Created file list: {}'.format(staged_file_list))
return staged_file_list
def test_annotate_contigs(self):
assembly_file_name = "small.fna" #"AP009048.fna"
assembly_test_file = os.path.join("/kb/module/test/data", assembly_file_name)
assembly_temp_file = os.path.join("/kb/module/work/tmp", assembly_file_name)
shutil.copy(assembly_test_file, assembly_temp_file)
assembly_name = 'Assembly.1'
au = AssemblyUtil(os.environ['SDK_CALLBACK_URL'], token=self.getContext()['token'])
assembly_ref = au.save_assembly_from_fasta({'file': {'path': assembly_temp_file},
'workspace_name': self.getWsName(),
'assembly_name': assembly_name})
genome_name = "Genome.1"
result = self.getImpl().annotate_contigs(self.getContext(),
{'assembly_ref': assembly_ref,
'output_workspace': self.getWsName(),
'output_genome_name': genome_name,
'evalue': None,
'fast': 0,
'gcode': None,
'genus': '',
'kingdom': 'Bacteria',
'metagenome': 0,
'mincontiglen': 1,
'norrna': 0,
'notrna': 0,
'rawproduct': 0,
'rfam': 1,
'scientific_name': 'Super : diper - name;'
})[0]
rep = self.getWsClient().get_objects([{'ref': result['report_ref']}])[0]['data']
self.assertTrue('text_message' in rep)
print("Report:\n" + str(rep['text_message']))
def getBogusAssembly(self):
# Create a fake assembly with lots of contigs
assembly_file_name = "bogus.fna" # "AP009048.fna"
assembly_temp_file = os.path.join("/kb/module/work/tmp",
assembly_file_name)
with open(assembly_temp_file, "w") as f:
for i in range(1, 30002):
f.write("> contig_%d\n" % i)
f.write(
"AGCTTTTCATTCTGACTGCAACGGGCAATATGTCTCTGTGTGGATTAAAAAAAGAGTGTCTGATAGCAGC\n"
)
assembly_name = "Assembly.2"
au = AssemblyUtil(os.environ["SDK_CALLBACK_URL"],
token=self.getContext()["token"])
assembly_ref = au.save_assembly_from_fasta({
"file": {
"path": assembly_temp_file
},
"workspace_name":
self.getWsName(),
"assembly_name":
assembly_name
})
self.assembly_ref = assembly_ref
print("Uploaded bogus assembly " + str(assembly_ref))
return assembly_ref
def __init__(self, config):
#BEGIN_CONSTRUCTOR
self.scratch = config['scratch']
self.callback_url = os.environ['SDK_CALLBACK_URL']
self.dfu = AssemblyUtil(self.callback_url)
#END_CONSTRUCTOR
pass
def load_test_genome_direct(self, filename, assembly_filename, obj_name):
au = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
assembly_ref = au.save_assembly_from_fasta({
'workspace_name':
self.getWsName(),
'assembly_name':
obj_name + '.assembly',
'file': {
'path': assembly_filename
}
})
pprint('created test assembly: ' + assembly_ref)
with open(filename, 'r') as file:
data_str = file.read()
data = json.loads(data_str)
data['assembly_ref'] = assembly_ref
# save to ws
save_info = {
'workspace':
self.getWsName(),
'objects': [{
'type': 'KBaseGenomes.Genome',
'data': data,
'name': obj_name + '.genome'
}]
}
result = self.ws.save_objects(save_info)
info = result[0]
ref = str(info[6]) + '/' + str(info[0]) + '/' + str(info[4])
print('created test genome: ' + ref + ' from file ' + filename)
return ref
def _build_index(self, assembly_info, validated_params):
# get the assembly as a fasta file using AssemblyUtil
au = AssemblyUtil(self.callback_url)
fasta_info = au.get_assembly_as_fasta({'ref': assembly_info['ref']})
# make the target destination folder (check again it wasn't created yet)
if os.path.exists(validated_params['output_dir']):
raise('Output directory name specified (' + validated_params['output_dir'] +
') already exists. Will not overwrite, so aborting.')
os.makedirs(validated_params['output_dir'])
# configure the command line args and run it
cli_params = self._build_cli_params(fasta_info['path'], fasta_info['assembly_name'], validated_params)
self.bowtie2.run('bowtie2-build', cli_params)
index_info = {'output_dir': validated_params['output_dir'],
'index_files_basename': fasta_info['assembly_name']}
# cache the result, mark if it worked or not
cache_success = self._put_cached_index(assembly_info,
fasta_info['assembly_name'],
validated_params['output_dir'],
validated_params['ws_for_cache'])
if cache_success:
index_info['pushed_to_cache'] = 1
else:
index_info['pushed_to_cache'] = 0
return index_info
def get_fasta_file(self, genome_ref):
ws = Workspace(self.ws_url)
# test if genome references an assembly type
# do get_objects2 without data. get list of refs
genome_obj_info = ws.get_objects2({
'objects': [{
'ref': genome_ref
}],
'no_data': 1
})
# get the list of genome refs from the returned info.
# if there are no refs (or something funky with the return), this will be an empty list.
# this WILL fail if data is an empty list. But it shouldn't be, and we know because
# we have a real genome reference, or get_objects2 would fail.
genome_obj_refs = genome_obj_info.get('data', [{}])[0].get('refs', [])
# see which of those are of an appropriate type (ContigSet or Assembly), if any.
assembly_ref = list()
ref_params = [{'ref': x} for x in genome_obj_refs]
ref_info = ws.get_object_info3({'objects': ref_params})
for idx, info in enumerate(ref_info.get('infos')):
if "KBaseGenomeAnnotations.Assembly" in info[
2] or "KBaseGenomes.ContigSet" in info[2]:
assembly_ref.append(";".join(ref_info.get('paths')[idx]))
# now just get the file.
au = AssemblyUtil(self.callback_url)
fasta_file = au.get_assembly_as_fasta({'ref': assembly_ref[0]})
return fasta_file["path"]
def test_annotate_contigs(self):
assembly_file_name = "small.fna" #"AP009048.fna"
assembly_test_file = os.path.join("/kb/module/test/data", assembly_file_name)
assembly_temp_file = os.path.join("/kb/module/work/tmp", assembly_file_name)
shutil.copy(assembly_test_file, assembly_temp_file)
assembly_name = 'Assembly.1'
au = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
assembly_ref = au.save_assembly_from_fasta({'file': {'path': assembly_temp_file},
'workspace_name': self.getWsName(),
'assembly_name': assembly_name})
# Add a genome to the WS to test ref_paths
genome_name = "Genome.1"
genome = {'id': 'Unknown', 'features': [],
'scientific_name': "",
'domain': "", 'genetic_code': 0,
'assembly_ref': assembly_ref,
'cdss': [], 'mrnas': [],
'source': 'Magic!',
'gc_content': 0, 'dna_size': 0,
'reference_annotation': 0}
prov = self.getContext().provenance()
ga = GenomeAnnotationAPI(os.environ['SDK_CALLBACK_URL'])
info = ga.save_one_genome_v1(
{'workspace': self.getWsName(), 'name': genome_name,
'data': genome, 'provenance': prov})['info']
genome_ref = str(info[6]) + '/' + str(info[0]) + '/' + str(info[4])
result = self.getImpl().annotate_contigs(self.getContext(),
{'assembly_ref': "{};{}".format(genome_ref, assembly_ref),
'output_workspace': self.getWsName(),
'output_genome_name': genome_name,
'evalue': None,
'fast': 0,
'gcode': 0,
'genus': 'genus',
'kingdom': 'Bacteria',
'metagenome': 0,
'mincontiglen': 1,
'norrna': 0,
'notrna': 0,
'rawproduct': 0,
'rfam': 1,
'scientific_name': 'Super : diper - name;'
})[0]
rep = self.getWsClient().get_objects([{'ref': result['report_ref']}])[0]['data']
self.assertTrue('text_message' in rep)
print("Report:\n" + str(rep['text_message']))
genome_ref = self.getWsName() + "/" + genome_name
genome = self.getWsClient().get_objects([{'ref': genome_ref}])[0]['data']
features_to_work = {}
for feature in genome['features']:
features_to_work[feature['id']] = feature['location']
aseq = AssemblySequenceAPI(os.environ['SDK_CALLBACK_URL'], token=self.getContext()['token'])
dna_sequences = aseq.get_dna_sequences({'requested_features': features_to_work,
'assembly_ref': genome['assembly_ref']})['dna_sequences']
bad_dnas = 0
for feature in genome['features']:
if feature['dna_sequence'] != dna_sequences[feature['id']]:
bad_dnas += 1
self.assertEqual(bad_dnas, 0)
def __init__(self, config):
self.callback_url = config['SDK_CALLBACK_URL']
self.scratch = config['scratch']
self.shock_url = config['shock-url']
self.dfu = DataFileUtil(self.callback_url)
self.au = AssemblyUtil(self.callback_url)
self.setapi = SetAPI(self.callback_url)
self.wss = workspaceService(config['workspace-url'])
def __init__(self, config):
self.callback_url = config['SDK_CALLBACK_URL']
self.scratch = os.path.join(config['scratch'],
'import_assembly_' + str(uuid.uuid4()))
handler_utils._mkdir_p(self.scratch)
self.token = config['KB_AUTH_TOKEN']
self.dfu = DataFileUtil(self.callback_url)
self.au = AssemblyUtil(self.callback_url)
self.uploader_utils = UploaderUtil(config)
def load_fasta_file(self, filename, obj_name, contents):
f = open(filename, 'w')
f.write(contents)
f.close()
assemblyUtil = AssemblyUtil(self.callback_url)
assembly_ref = assemblyUtil.save_assembly_from_fasta({'file': {'path': filename},
'workspace_name': self.getWsName(),
'assembly_name': obj_name
})
return assembly_ref
def run_mash_sketch(self, ctx, params):
"""
Generate a sketch file from a fasta/fastq file
:param params: instance of type "MashSketchParams" (* * Pass in **one
of** input_path, assembly_ref, or reads_ref * input_path -
string - local file path to an input fasta/fastq * assembly_ref
- string - workspace reference to an Assembly type * reads_ref -
string - workspace reference to a Reads type * Optionally, pass in
a boolean indicating whether you are using paired-end reads. *
paired_ends - boolean - whether you are passing in paired ends) ->
structure: parameter "input_path" of String, parameter
"assembly_ref" of String, parameter "reads_ref" of String,
parameter "paired_ends" of type "boolean" (params:
input_upa: workspace reference to an assembly object
workspace_name: name of current workspace search_db: database to
search n_max_results: number of results to return, integer between
1 and 100)
:returns: instance of type "MashSketchResults" (* * Returns the local
scratch file path of the generated sketch file. * Will have the
extension '.msh') -> structure: parameter "sketch_path" of String
"""
# ctx is the context object
# return variables are: results
#BEGIN run_mash_sketch
if 'reads_ref' in params:
reads_utils = ReadsUtils(self.callbackURL)
result = reads_utils.download_reads({
'read_libraries': [params['reads_ref']],
'interleaved':
'true'
})
input_path = result['files'][params['reads_ref']]['files']['fwd']
elif 'assembly_ref' in params:
assembly_util = AssemblyUtil(self.callbackURL)
result = assembly_util.get_assembly_as_fasta(
{'ref': params['assembly_ref']})
input_path = result['path']
elif 'input_path' in params:
input_path = params['input_path']
else:
raise ValueError(
'Invalid params; must provide one of `reads_ref`, `assembly_ref`, or `input_path`.'
)
mash_utils = MashUtils(self.config, self.auth_token)
output_file_path = mash_utils.mash_sketch(
input_path, paired_ends=params.get('paired_ends'))
results = {'sketch_path': output_file_path}
#END run_mash_sketch
# At some point might do deeper type checking...
if not isinstance(results, dict):
raise ValueError('Method run_mash_sketch return value ' +
'results is not type dict as required.')
# return the results
return [results]
def setUpClass(cls):
token = environ.get('KB_AUTH_TOKEN', None)
config_file = environ.get('KB_DEPLOYMENT_CONFIG', None)
cls.cfg = {}
config = ConfigParser()
config.read(config_file)
for nameval in config.items('SetAPI'):
cls.cfg[nameval[0]] = nameval[1]
authServiceUrl = cls.cfg.get('auth-service-url',
"https://kbase.us/services/authorization/Sessions/Login")
auth_client = _KBaseAuth(authServiceUrl)
user_id = auth_client.get_user(token)
# WARNING: don't call any logging methods on the context object,
# it'll result in a NoneType error
cls.ctx = MethodContext(None)
cls.ctx.update({'token': token,
'user_id': user_id,
'provenance': [
{'service': 'SetAPI',
'method': 'please_never_use_it_in_production',
'method_params': []
}],
'authenticated': 1})
cls.wsURL = cls.cfg['workspace-url']
cls.wsClient = workspaceService(cls.wsURL, token=token)
cls.serviceImpl = SetAPI(cls.cfg)
# setup data at the class level for now (so that the code is run
# once for all tests, not before each test case. Not sure how to
# do that outside this function..)
suffix = int(time.time() * 1000)
wsName = "test_SetAPI_" + str(suffix)
ret = cls.wsClient.create_workspace({'workspace': wsName})
# wsName = 'pranjan77:1477441032423'
cls.wsName = wsName
# copy test file to scratch area
fna_filename = "seq.fna"
fna_path = os.path.join(cls.cfg['scratch'], fna_filename)
shutil.copy(os.path.join("data", fna_filename), fna_path)
ru = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
ws_obj_name = 'MyNewAssembly'
cls.assembly1ref = ru.save_assembly_from_fasta(
{
'file':{'path':fna_path},
'workspace_name':wsName,
'assembly_name':'assembly_obj_1'
})
cls.assembly2ref = ru.save_assembly_from_fasta(
{
'file':{'path':fna_path},
'workspace_name':wsName,
'assembly_name':'assembly_obj_2'
})
def load_fasta_file(self, path, name):
assembly_util = AssemblyUtil(self.callback_url)
return assembly_util.save_assembly_from_fasta({
'file': {
'path': path
},
'workspace_name':
self.getWsName(),
'assembly_name':
name
})
def get_fasta_file(self, filename, obj_name):
assemblyUtil = AssemblyUtil(self.callback_url)
assembly_ref = assemblyUtil.save_assembly_from_fasta({
'file': {
'path': filename
},
'workspace_name':
self.getWsName(),
'assembly_name':
obj_name
})
return assembly_ref
def loadAssembly(self):
if hasattr(self.__class__, 'assembly_ref'):
return self.__class__.assembly_ref
fasta_path = os.path.join(self.scratch, 'test.fna')
shutil.copy(os.path.join('data', 'test.fna'), fasta_path)
au = AssemblyUtil(self.callback_url)
assembly_ref = au.save_assembly_from_fasta({'file': {'path': fasta_path},
'workspace_name': self.getWsName(),
'assembly_name': 'test_assembly'
})
self.__class__.assembly_ref = assembly_ref
return assembly_ref
def save_assembly(self, wsname, output_contigs, token, name, console):
self.log(console, 'Uploading FASTA file to Assembly')
assemblyUtil = AssemblyUtil(self.callbackURL,
token=token,
service_ver='dev')
assemblyUtil.save_assembly_from_fasta({
'file': {
'path': output_contigs
},
'workspace_name': wsname,
'assembly_name': name
})
def get_assembly(self, target_dir, assembly_upa):
auc = AssemblyUtil(self.callbackURL)
filename = os.path.join(target_dir, assembly_upa.replace('/', '_'))
try:
auc.get_assembly_as_fasta({
'ref': assembly_upa,
'filename': filename
})
except AssemblyUtilError as assembly_error:
print(str(assembly_error))
raise
return filename
def test_filter_contigs_by_length_01(self):
method = 'filter_contigs_by_length_01'
print("\n\nRUNNING: test_filter_contigs_by_length_01()")
print("===========================================\n\n")
# upload test data
try:
auClient = AssemblyUtil(self.callback_url,
token=self.getContext()['token'])
except Exception as e:
raise ValueError(
'Unable to instantiate auClient with callbackURL: ' +
self.callback_url + ' ERROR: ' + str(e))
ass_file_1 = 'assembly_1.fa'
ass_file_2 = 'assembly_2.fa'
ass_path_1 = os.path.join(self.scratch, ass_file_1)
ass_path_2 = os.path.join(self.scratch, ass_file_2)
shutil.copy(os.path.join("data", ass_file_1), ass_path_1)
shutil.copy(os.path.join("data", ass_file_2), ass_path_2)
ass_ref_1 = auClient.save_assembly_from_fasta({
'file': {
'path': ass_path_1
},
'workspace_name':
self.getWsName(),
'assembly_name':
'assembly_1'
})
ass_ref_2 = auClient.save_assembly_from_fasta({
'file': {
'path': ass_path_2
},
'workspace_name':
self.getWsName(),
'assembly_name':
'assembly_2'
})
# run method
input_refs = [ass_ref_1, ass_ref_2]
base_output_name = method + '_output'
params = {
'workspace_name': self.getWsName(),
'input_assembly_refs': input_refs,
'min_contig_length': 1000,
'output_name': 'test_filtered'
}
result = self.getImpl().run_filter_contigs_by_length(
self.getContext(), params)
print('RESULT:')
pprint(result)
pass
def loadFasta2Assembly(self, filename):
fn, ext = os.path.splitext(filename)
fasta_path = os.path.join(self.scratch, filename)
shutil.copy(os.path.join('../testReads', filename), fasta_path)
au = AssemblyUtil(self.callback_url)
a_ref = au.save_assembly_from_fasta({
'file': {
'path': fasta_path
},
'workspace_name': self.getWsName(),
'assembly_name': fn
})
return a_ref
def fetch_fasta_from_assembly(assembly_ref, ws_url, callback_url):
"""
From an assembly or contigset, this uses a data file util to build a FASTA file and return the
path to it.
"""
allowed_types = ['KBaseFile.Assembly',
'KBaseGenomeAnnotations.Assembly',
'KBaseGenomes.ContigSet']
if not check_ref_type(assembly_ref, allowed_types, ws_url):
raise ValueError("The reference {} cannot be used to fetch a FASTA file".format(
assembly_ref))
au = AssemblyUtil(callback_url)
return au.get_assembly_as_fasta({'ref': assembly_ref})
def __init__(self, config):
self.scratch = config["scratch"]
self.ctx = config['ctx'];
self.callback_url = config["SDK_CALLBACK_URL"]
self.ws_client = workspaceService(config["workspace-url"])
self.gfu = GenomeFileUtil(self.callback_url)
self.au = AssemblyUtil(self.callback_url)
self.kbr = KBaseReport(self.callback_url)
self.dfu = DataFileUtil(self.callback_url)
self.genome_api = GenomeAnnotationAPI(self.callback_url)
self.sso_ref = None
self.sso_event = None
self.ec_to_sso = {}
self.output_workspace = None
def get_fasta_from_genome(logger,ws_client,urls,genome_id):
ref = ws_client.get_object_subset(
[{ 'ref' : genome_id ,'included': ['contigset_ref']}])
contig_id = ref[0]['data']['contigset_ref']
logger.info( "Generating FASTA from Genome")
try:
## get the FASTA
assembly = AssemblyUtil(urls['callback_url'])
ret = assembly.get_assembly_as_fasta({'ref':contig_id})
output_file = ret['path']
fasta_file = os.path.basename(output_file)
return fasta_file
except Exception, e:
raise Exception(e)
raise Exception("Unable to Create FASTA file from Genome : {0}".format(genome_id))
def load_fasta_file(self, filename, obj_name, contents):
f = open(filename, 'w')
# TODO make this use the data folder (not sure of relative path)
f.write(contents)
f.close()
assemblyUtil = AssemblyUtil(self.callback_url)
# TODO why does this next line take forevverr
assembly_ref = assemblyUtil.save_assembly_from_fasta({
'file': {
'path': filename
},
'workspace_name':
self.getWsName(),
'assembly_name':
obj_name
})
return assembly_ref
def get_genome_ref(self, ws_name, tf='ecoliMG1655.fa'):
if hasattr(self.__class__, 'genomeInfo'):
return self.__class__.genomeInfo
au = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
target = os.path.join(self.scratch, tf)
self.genome_path = target
shutil.copy('data/' + tf, target)
self.__class__.genomeInfo = au.save_assembly_from_fasta({
'file': {
'path': target
},
'workspace_name':
ws_name,
'assembly_name':
tf.split('.fa')[0]
})
return self.__class__.genomeInfo
def setUpClass(cls):
token = environ.get('KB_AUTH_TOKEN', None)
# WARNING: don't call any logging methods on the context object,
# it'll result in a NoneType error
cls.ctx = MethodContext(None)
cls.ctx.update({'token': token,
'provenance': [
{'service': 'AssemblyAPI',
'method': 'please_never_use_it_in_production',
'method_params': []
}],
'authenticated': 1})
config_file = environ.get('KB_DEPLOYMENT_CONFIG', None)
cls.cfg = {}
config = ConfigParser()
config.read(config_file)
for nameval in config.items('AssemblyAPI'):
cls.cfg[nameval[0]] = nameval[1]
cls.wsURL = cls.cfg['workspace-url']
cls.wsClient = workspaceService(cls.wsURL, token=token)
cls.serviceImpl = AssemblyAPI(cls.cfg)
cls.scratch = cls.cfg['scratch']
cls.callback_url = os.environ['SDK_CALLBACK_URL']
suffix = int(time.time() * 1000)
cls.wsName = "test_kb_maxbin_" + str(suffix)
cls.ws_info = cls.wsClient.create_workspace({'workspace': cls.wsName})
cls.obj_name = "7989/489/2"
cls.contigs = [u'NZ_ALQT01000016']
# create an example Assembly
cls.au = AssemblyUtil(cls.callback_url)
assembly_filename = 'test.fa'
cls.assembly_fasta_file_path = os.path.join(cls.scratch, assembly_filename)
shutil.copy(os.path.join("data", assembly_filename), cls.assembly_fasta_file_path)
assembly_params = {
'file': {'path': cls.assembly_fasta_file_path},
'workspace_name': cls.wsName,
'assembly_name': 'MyAssembly'
}
cls.assembly_ref_1 = cls.au.save_assembly_from_fasta(assembly_params)
print('Assembly1:' + cls.assembly_ref_1)
# create a test legacy contigset
with open('data/contigset1.json') as file:
contigset_data = json.load(file)
pprint(contigset_data)
saveData = {
'type': 'KBaseGenomes.ContigSet',
'data': contigset_data,
'name': 'contigset'
}
cls.contig_set_info = cls.wsClient.save_objects({'workspace': cls.wsName, 'objects': [saveData]})[0]
pprint(cls.contig_set_info)
cls.contig_set_ref = str(cls.contig_set_info[6]) + '/' + str(cls.contig_set_info[0]) + '/' + str(cls.contig_set_info[4])
print('ContigSet1:' + cls.contig_set_ref)
def test_genbank_to_genome(self, download_staging_file,
update_staging_service):
fasta_file = 'small_fasta.fna'
ws_obj_name = 'MyAssembly'
params = {
'staging_file_subdir_path': fasta_file,
'workspace_name': self.getWsName(),
'assembly_name': ws_obj_name
}
ref = self.getImpl().import_fasta_as_assembly_from_staging(
self.getContext(), params)
self.assertTrue('obj_ref' in ref[0])
self.assertTrue('report_ref' in ref[0])
self.assertTrue('report_name' in ref[0])
fasta_file_path = os.path.join('/kb/module/work/tmp', fasta_file)
assemblyUtil = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
fasta_assembly = assemblyUtil.get_assembly_as_fasta(
{'ref': self.getWsName() + "/{}".format(ws_obj_name)})
expected_data = None
with open(fasta_file_path, 'r') as f:
expected_data = f.read()
actual_data = None
with open(fasta_assembly['path'], 'r') as f:
actual_data = f.read()
self.assertEqual(actual_data, expected_data)
get_objects_params = {
'object_refs': [ref[0].get('obj_ref')],
'ignore_errors': False
}
object_data = self.dfu.get_objects(get_objects_params)
base_count = object_data.get('data')[0].get('data').get('base_counts')
dna_size = object_data.get('data')[0].get('data').get('dna_size')
self.assertEqual(dna_size, 2520)
expected_base_count = {'A': 700, 'C': 558, 'T': 671, 'G': 591}
self.assertDictContainsSubset(base_count, expected_base_count)
self.assertDictContainsSubset(expected_base_count, base_count)
def load_fasta_file(callback_url, ws_name, filename, obj_name, contents):
"""
Loads the given FASTA file into a workspace as an Assembly object.
"""
f = open(filename, 'w')
f.write(contents)
f.close()
assembly_util = AssemblyUtil(callback_url)
assembly_ref = assembly_util.save_assembly_from_fasta({
'file': {
'path': filename
},
'workspace_name':
ws_name,
'assembly_name':
obj_name
})
return assembly_ref
def test_annotate_contigs(self):
assembly_file_name = "small.fna" #"AP009048.fna"
assembly_test_file = os.path.join("/kb/module/test/data", assembly_file_name)
assembly_temp_file = os.path.join("/kb/module/work/tmp", assembly_file_name)
shutil.copy(assembly_test_file, assembly_temp_file)
assembly_name = 'Assembly.1'
au = AssemblyUtil(os.environ['SDK_CALLBACK_URL'], token=self.getContext()['token'])
assembly_ref = au.save_assembly_from_fasta({'file': {'path': assembly_temp_file},
'workspace_name': self.getWsName(),
'assembly_name': assembly_name})
genome_name = "Genome.1"
result = self.getImpl().annotate_contigs(self.getContext(),
{'assembly_ref': assembly_ref,
'output_workspace': self.getWsName(),
'output_genome_name': genome_name,
'evalue': None,
'fast': 0,
'gcode': 0,
'genus': 'genus',
'kingdom': 'Bacteria',
'metagenome': 0,
'mincontiglen': 1,
'norrna': 0,
'notrna': 0,
'rawproduct': 0,
'rfam': 1,
'scientific_name': 'Super : diper - name;'
})[0]
rep = self.getWsClient().get_objects([{'ref': result['report_ref']}])[0]['data']
self.assertTrue('text_message' in rep)
print("Report:\n" + str(rep['text_message']))
genome_ref = self.getWsName() + "/" + genome_name
genome = self.getWsClient().get_objects([{'ref': genome_ref}])[0]['data']
features_to_work = {}
for feature in genome['features']:
features_to_work[feature['id']] = feature['location']
aseq = AssemblySequenceAPI(os.environ['SDK_CALLBACK_URL'], token=self.getContext()['token'])
dna_sequences = aseq.get_dna_sequences({'requested_features': features_to_work,
'assembly_ref': genome['assembly_ref']})['dna_sequences']
bad_dnas = 0
for feature in genome['features']:
if feature['dna_sequence'] != dna_sequences[feature['id']]:
bad_dnas += 1
self.assertEqual(bad_dnas, 0)
def upload_assembly(self):
if not self.testobjref:
print "upload_assembly start"
indata = 'U00096.2.fa'#_first1000.
ftarget = os.path.join(self.cfg['scratch'], indata)#self.scratch, indata)
print "ftarget " + ftarget
ret = shutil.copy('../test_data/' + indata, ftarget)
#self.readsUtilClient = ReadsUtils(os.environ['SDK_CALLBACK_URL'])
self.assemblyUtilClient = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
if not self.testwsname:
self.testwsname.append(self.create_random_string())
print "upload_assembly self.testwsname[0] " + self.testwsname[0]
try:
ret = self.wsClient.create_workspace({'workspace': self.testwsname[0]}) #test_ws_name
except Exception as e:
#print "ERROR"
#print(type(e))
#print(e.args)
print(e)
pass
try:
print "attempt upload"
print "ftarget " + ftarget
ref = self.assemblyUtilClient.save_assembly_from_fasta(
{
'workspace_name': self.testwsname[0],
'assembly_name': 'Ecolik12MG1655',
'file': {'path': ftarget}})
print "upload_assembly"
print ref
#self.testobjref = []
self.testobjref.append(self.testwsname[0] + '/Ecolik12MG1655/1')
#self.testobjdata = []
#self.testobjdata.append(self.dfu.get_objects(
# {'object_refs': [self.testobjref[0]]}))
##print self.testobjdata[0]
except Exception as e:
print e
pass
print "self.testobjref[0]"
print self.testobjref
print self.testobjref[0]
def stage_assembly_files(self, object_list):
"""
_stage_assembly_files: download the fasta files to the scratch area
return list of file names
"""
log('Processing assembly object list: {}'.format(object_list))
auc = AssemblyUtil(self.callbackURL)
staged_file_list = []
for assembly_upa in object_list:
try:
filename = auc.get_assembly_as_fasta({'ref': assembly_upa})['path']
except AssemblyUtilError as assembly_error:
print(str(assembly_error))
raise
staged_file_list.append(filename)
log('Created file list: {}'.format(staged_file_list))
return staged_file_list
def run_megahit(self, ctx, params):
"""
:param params: instance of type "MegaHitParams" (Run MEGAHIT. Most
parameters here are just passed forward to MEGAHIT workspace_name
- the name of the workspace for input/output read_library_ref -
the name of the PE read library (SE library support in the future)
output_contig_set_name - the name of the output contigset
megahit_parameter_preset - override a group of parameters;
possible values: meta '--min-count 2 --k-list
21,41,61,81,99' (generic metagenomes, default) meta-sensitive
'--min-count 2 --k-list 21,31,41,51,61,71,81,91,99' (more
sensitive but slower) meta-large '--min-count 2 --k-list
27,37,47,57,67,77,87' (large & complex metagenomes, like soil)
bulk '--min-count 3 --k-list 31,51,71,91,99 --no-mercy'
(experimental, standard bulk sequencing with >= 30x depth)
single-cell '--min-count 3 --k-list 21,33,55,77,99,121
--merge_level 20,0.96' (experimental, single cell data) min_count
- minimum multiplicity for filtering (k_min+1)-mers, default 2
min_k - minimum kmer size (<= 127), must be odd number, default 21
max_k - maximum kmer size (<= 127), must be odd number, default 99
k_step - increment of kmer size of each iteration (<= 28), must be
even number, default 10 k_list - list of kmer size (all must be
odd, in the range 15-127, increment <= 28); override `--k-min',
`--k-max' and `--k-step' min_contig_length - minimum length of
contigs to output, default is 2000 @optional
megahit_parameter_preset @optional min_count @optional k_min
@optional k_max @optional k_step @optional k_list @optional
min_contig_length) -> structure: parameter "workspace_name" of
String, parameter "read_library_ref" of String, parameter
"output_contigset_name" of String, parameter
"megahit_parameter_preset" of String, parameter "min_count" of
Long, parameter "k_min" of Long, parameter "k_max" of Long,
parameter "k_step" of Long, parameter "k_list" of list of Long,
parameter "min_contig_length" of Long
:returns: instance of type "MegaHitOutput" -> structure: parameter
"report_name" of String, parameter "report_ref" of String
"""
# ctx is the context object
# return variables are: output
#BEGIN run_megahit
print('Running run_megahit with params=')
pprint(params)
# STEP 1: basic parameter checks + parsing
if 'workspace_name' not in params:
raise ValueError('workspace_name parameter is required')
if 'read_library_ref' not in params:
raise ValueError('read_library_ref parameter is required')
if 'output_contigset_name' not in params:
raise ValueError('output_contigset_name parameter is required')
# STEP 2: get the read library as deinterleaved fastq files
input_ref = params['read_library_ref']
reads_params = {'read_libraries': [input_ref],
'interleaved': 'false',
'gzipped': None
}
ru = ReadsUtils(self.callbackURL)
reads = ru.download_reads(reads_params)['files']
print('Input reads files:')
fwd = reads[input_ref]['files']['fwd']
rev = reads[input_ref]['files']['rev']
pprint('forward: ' + fwd)
pprint('reverse: ' + rev)
# STEP 3: run megahit
# construct the command
megahit_cmd = [self.MEGAHIT]
# we only support PE reads, so add that
megahit_cmd.append('-1')
megahit_cmd.append(fwd)
megahit_cmd.append('-2')
megahit_cmd.append(rev)
# if a preset is defined, use that:
if 'megahit_parameter_preset' in params:
if params['megahit_parameter_preset']:
megahit_cmd.append('--presets')
megahit_cmd.append(params['megahit_parameter_preset'])
if 'min_count' in params:
if params['min_count']:
megahit_cmd.append('--min-count')
megahit_cmd.append(str(params['min_count']))
if 'k_min' in params:
if params['k_min']:
megahit_cmd.append('--k-min')
megahit_cmd.append(str(params['k_min']))
if 'k_max' in params:
if params['k_max']:
megahit_cmd.append('--k-max')
megahit_cmd.append(str(params['k_max']))
if 'k_step' in params:
if params['k_step']:
megahit_cmd.append('--k-step')
megahit_cmd.append(str(params['k_step']))
if 'k_list' in params:
if params['k_list']:
k_list = []
for k_val in params['k_list']:
k_list.append(str(k_val))
megahit_cmd.append('--k-list')
megahit_cmd.append(','.join(k_list))
min_contig_length = self.DEFAULT_MIN_CONTIG_LENGTH
if 'min_contig_length' in params:
if params['min_contig_length']:
if str(params['min_contig_length']).isdigit():
min_contig_length = params['min_contig_length']
else:
raise ValueError('min_contig_length parameter must be a non-negative integer')
megahit_cmd.append('--min-contig-len')
megahit_cmd.append(str(min_contig_length))
# set the output location
timestamp = int((datetime.utcnow() - datetime.utcfromtimestamp(0)).total_seconds() * 1000)
output_dir = os.path.join(self.scratch, 'output.' + str(timestamp))
megahit_cmd.append('-o')
megahit_cmd.append(output_dir)
# run megahit
print('running megahit:')
print(' ' + ' '.join(megahit_cmd))
p = subprocess.Popen(megahit_cmd, cwd=self.scratch, shell=False)
retcode = p.wait()
print('Return code: ' + str(retcode))
if p.returncode != 0:
raise ValueError('Error running MEGAHIT, return code: ' +
str(retcode) + '\n')
output_contigs = os.path.join(output_dir, 'final.contigs.fa')
# on macs, we cannot run megahit in the shared host scratch space, so we need to move the file there
if self.mac_mode:
shutil.move(output_contigs, os.path.join(self.host_scratch, 'final.contigs.fa'))
output_contigs = os.path.join(self.host_scratch, 'final.contigs.fa')
# STEP 4: save the resulting assembly
assemblyUtil = AssemblyUtil(self.callbackURL)
output_data_ref = assemblyUtil.save_assembly_from_fasta({
'file': {'path': output_contigs},
'workspace_name': params['workspace_name'],
'assembly_name': params['output_contigset_name']
})
# STEP 5: generate and save the report
# compute a simple contig length distribution for the report
lengths = []
for seq_record in SeqIO.parse(output_contigs, 'fasta'):
lengths.append(len(seq_record.seq))
report = ''
report += 'ContigSet saved to: ' + params['workspace_name'] + '/' + params['output_contigset_name'] + '\n'
report += 'Assembled into ' + str(len(lengths)) + ' contigs.\n'
report += 'Avg Length: ' + str(sum(lengths) / float(len(lengths))) + ' bp.\n'
bins = 10
counts, edges = np.histogram(lengths, bins)
report += 'Contig Length Distribution (# of contigs -- min to max basepairs):\n'
for c in range(bins):
report += ' ' + str(counts[c]) + '\t--\t' + str(edges[c]) + ' to ' + str(edges[c + 1]) + ' bp\n'
print('Running QUAST')
kbq = kb_quast(self.callbackURL)
try:
quastret = kbq.run_QUAST({'files': [{'path': output_contigs,
'label': params['output_contigset_name']}]})
except QUASTError as qe:
# not really any way to test this, all inputs have been checked earlier and should be
# ok
print('Logging exception from running QUAST')
print(str(qe))
# TODO delete shock node
raise
print('Saving report')
kbr = KBaseReport(self.callbackURL)
try:
report_info = kbr.create_extended_report(
{'message': report,
'objects_created': [{'ref': output_data_ref, 'description': 'Assembled contigs'}],
'direct_html_link_index': 0,
'html_links': [{'shock_id': quastret['shock_id'],
'name': 'report.html',
'label': 'QUAST report'}
],
'report_object_name': 'kb_megahit_report_' + str(uuid.uuid4()),
'workspace_name': params['workspace_name']
})
except _RepError as re:
# not really any way to test this, all inputs have been checked earlier and should be
# ok
print('Logging exception from creating report object')
print(str(re))
# TODO delete shock node
raise
# STEP 6: contruct the output to send back
output = {'report_name': report_info['name'], 'report_ref': report_info['ref']}
#END run_megahit
# At some point might do deeper type checking...
if not isinstance(output, dict):
raise ValueError('Method run_megahit return value ' +
'output is not type dict as required.')
# return the results
return [output]
def do_assembly(self, assemblyRef, wsName):
#try:
# assembly = wsClient.get_objects2({'objects': [{'ref': assembly_ref}]})
#except:
# exc_type, exc_value, exc_traceback = sys.exc_info()
# lines = traceback.format_exception(exc_type, exc_value, exc_traceback)
# orig_error = ''.join(' ' + line for line in lines)
# raise ValueError('Error from workspace:\n' + orig_error)
#print assembly#[200:]
#print assembly['data']
#print assembly['data'][0]
#assembly['data'][0]['data']
#fasta_handle_ref = assembly['data'][0]['data']['fasta_handle_ref']
#print "fasta_handle_ref "+fasta_handle_ref
#print type(fasta_handle_ref)
#TODO create file here /kb/module/work
#TODO set output file name
print "SDK_CALLBACK_URL "+os.environ['SDK_CALLBACK_URL']
au = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
#assembly_input_ref = "16589/2/1"
#filename = "test.fasta"
#obj_name = "EcoliMG1655.f"
#wsname = "example_assembly"
param = dict()
param['ref'] = assemblyRef#assembly_input_ref
input_fasta_file = au.get_assembly_as_fasta(param)#{'ref': assembly_input_ref})
#just_input_fasta_file = os.path.basename(input_fasta_file['path'])
#print "input_fasta_file "+ str(input_fasta_file['path'])
newtmp = "/kb/module/work/tmp/tmp_"+self.create_random_string()
os.mkdir(newtmp)
os.mkdir(newtmp+"/input")
newfasta = newtmp +"/input/"+os.path.basename(input_fasta_file['path'])
print "newfasta "+newfasta
os.rename(input_fasta_file['path'], newfasta)
args = ["wrapper_phage_contigs_sorter_iPlant.pl ", "--db 2 ","--fna ", newfasta," --wdir ",newtmp]
print str(args)
cmdstring = "".join(args)
print "Executing"
cmdProcess = subprocess.Popen(cmdstring, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)
print "Done "+str(cmdProcess)
stdout, stderr = cmdProcess.communicate()
print " stdout: " + stdout
print " stderr: " + stderr
#return [report]
# Step 5 - Build a Report and return
reportObj = {
'objects_created': [],
'text_message': stdout
}
# 'objects_created': [{'ref': new_assembly, 'description': 'Filtered contigs'}],
#report_info = report.create({'report': reportObj, 'workspace_name': wsName})
#reportObj = {
# 'objects_created': [{'ref': new_assembly, 'description': 'Filtered contigs'}],
# 'text_message': 'Filtered Assembly to ' + str(n_remaining) + ' contigs out of ' + str(n_total)
#}
#report = KBaseReport(self.callback_url)
#report_info = report.create({'report': reportObj, 'workspace_name': params['workspace_name']})
# contruct the output to send back
#output = {'report_name': report_info['name'],
# 'report_ref': report_info['ref']
# }
#print('returning:' + pformat(output))
print('Saving report')
kbr = KBaseReport(self.callback_url, service_ver='dev')
report = ''
report += "cmdstring: " + str(cmdstring) + " stdout: " + str(stdout) + " stderr: " + str(stderr)
virout = newtmp+"/"+"VIRSorter_global-phage-signal.csv"
with open(virout, 'r') as myfile:
data = myfile.read().replace('\n', '')
print "wsName "+str(wsName)
data = data.replace(",", "\t")
data = data.replace("##", "\n##")
report = report +"\n\n***** VirSorter output *****\n"+data
report_data = {'message': report,
'objects_created': None,
'direct_html_link_index': None,
'html_links': None,
'report_object_name': 'kb_virsorter_' + str(uuid.uuid4()),
'workspace_name': wsName
}
print "report_data"
print str(report_data)
report_info = kbr.create_extended_report(report_data
)
# 'objects_created': [{'ref': assembly_ref, 'description': 'Assembled contigs'}],
# 'html_links': [{'shock_id': quastret['shock_id'],
# 'name': 'report.html',
# 'label': 'QUAST report'}
# ],
reportName = report_info['name']
reportRef = report_info['ref']
return reportName, reportRef
def arast_run(self, ctx, params, assembler, server='http://localhost:8000'):
output = None
console = []
self.log(console,'Running run_{} with params='.format(assembler))
self.log(console, pformat(params))
#### do some basic checks
if 'workspace_name' not in params:
raise ValueError('workspace_name parameter is required')
if 'read_library_refs' not in params and 'read_library_names' not in params:
raise ValueError('read_library_refs or read_library_names parameter is required')
if 'read_library_refs' in params:
if type(params['read_library_refs']) != list:
raise ValueError('read_library_refs must be a list')
if 'read_library_names' in params:
if type(params['read_library_names']) != list:
raise ValueError('read_library_names must be a list')
if 'output_contigset_name' not in params:
raise ValueError('output_contigset_name parameter is required')
min_contig_len = params.get('min_contig_len') or 300
token = ctx['token']
os.environ["KB_AUTH_TOKEN"] = token
os.environ["ARAST_URL"] = server
ws = workspaceService(self.workspaceURL)
ws_libs = []
if 'read_library_refs' in params:
for lib_ref in params['read_library_refs']:
ws_libs.append({'ref': lib_ref})
if 'read_library_names' in params:
for lib_name in params['read_library_names']:
ws_libs.append({'ref': params['workspace_name'] + '/' + lib_name})
if len(ws_libs)==0:
raise ValueError('At least one read library must be provided in read_library_refs or read_library_names')
libs = ws.get_objects2({'objects': ws_libs})['data']
wsid = libs[0]['info'][6]
kbase_assembly_input = self.combine_read_libs(libs)
tmp_data = self.create_temp_json(kbase_assembly_input)
mode = ''
cmd = ['ar-run', '--data-json', tmp_data]
if assembler:
cmd = cmd + ['-a', assembler]
mode = 'assembler: ' + assembler
elif 'pipeline' in params and params['pipeline']:
cmd = cmd + ['-p', params['pipeline']]
mode = 'assembly pipeline: ' + params['pipeline']
else:
cmd = cmd + ['-r', params.get('recipe', 'auto')]
mode = 'assembly recipe: ' + params['recipe']
logger.info('Start {}'.format(mode))
logger.debug('CMD: {}'.format(' '.join(cmd)))
p = subprocess.Popen(cmd,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT, shell=False)
out, err = p.communicate()
logger.debug(out)
if p.returncode != 0:
raise ValueError('Error running ar_run, return code: {}\n'.format(p.returncode))
job_id = None
match = re.search('(\d+)', out)
if match:
job_id = match.group(1)
else:
raise ValueError('No integer job ID found: {}\n'.format(out))
timestamp = int((datetime.utcnow() - datetime.utcfromtimestamp(0)).total_seconds()*1000)
output_dir = os.path.join(self.scratch, 'output.'+str(timestamp))
output_contigs = os.path.join(output_dir, 'contigs.fa')
if not os.path.exists(output_dir):
os.makedirs(output_dir)
cmd = ['ar-get', '-j', job_id, '-w', '-l']
logger.debug('CMD: {}'.format(' '.join(cmd)))
ar_log = subprocess.check_output(cmd)
self.log(console, ar_log)
cmdstr = 'ar-get -j {} -w -p | ar-filter -l {} > {}'.format(job_id, min_contig_len, output_contigs)
logger.debug('CMD: {}'.format(cmdstr))
subprocess.check_call(cmdstr, shell=True)
cmd = ['ar-get', '-j', job_id, '-w', '-r']
logger.debug('CMD: {}'.format(' '.join(cmd)))
ar_report = subprocess.check_output(cmd)
self.log(console, "\nDONE\n")
client = AssemblyUtil(self.callback_url)
assembly_ref = client.save_assembly_from_fasta({
'file':{'path':output_contigs},
'workspace_name':params['workspace_name'],
'assembly_name':params['output_contigset_name']
})
lengths = []
for seq_record in SeqIO.parse(output_contigs, 'fasta'):
lengths.append(len(seq_record.seq))
provenance = [{}]
if 'provenance' in ctx:
provenance = ctx['provenance']
# add additional info to provenance here, in this case the input data object reference
if 'read_library_names' in params:
provenance[0]['input_ws_objects']=[params['workspace_name']+'/'+x for x in params['read_library_names']]
elif 'read_library_refs' in params:
provenance[0]['input_ws_objects']=[x for x in params['read_library_refs']]
os.remove(tmp_data)
#shutil.rmtree(output_dir)
# create a Report
report = ''
report += '============= Raw Contigs ============\n' + ar_report + '\n'
report += '========== Filtered Contigs ==========\n'
report += 'ContigSet saved to: '+params['workspace_name']+'/'+params['output_contigset_name']+'\n'
report += 'Assembled into '+str(len(lengths)) + ' contigs.\n'
report += 'Average Length: '+str(sum(lengths)/float(len(lengths))) + ' bp.\n'
# compute a simple contig length distribution
bins = 10
counts, edges = np.histogram(lengths, bins)
report += 'Contig Length Distribution (# of contigs -- min to max basepairs):\n'
for c in range(bins):
report += ' '+str(counts[c]) + '\t--\t' + str(edges[c]) + ' to ' + str(edges[c+1]) + ' bp\n'
print report
reportObj = {
'objects_created':[{'ref':params['workspace_name']+'/'+params['output_contigset_name'], 'description':'Assembled contigs'}],
'text_message': report
}
reportName = '{}.report.{}'.format(assembler, job_id)
report_obj_info = ws.save_objects({
'id': wsid,
'objects': [
{
'type': 'KBaseReport.Report',
'data': reportObj,
'name': reportName,
'meta': {},
'hidden': 1,
'provenance': provenance
}
]
})[0]
output = { 'report_name': reportName, 'report_ref': str(report_obj_info[6]) + '/' + str(report_obj_info[0]) + '/' + str(report_obj_info[4]) }
# At some point might do deeper type checking...
if not isinstance(output, dict):
raise ValueError('Method filter_contigs return value ' +
'returnVal is not type dict as required.')
# return the results
return output
class kb_virsorterTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
token = environ.get('KB_AUTH_TOKEN', None)
user_id = requests.post(
'https://kbase.us/services/authorization/Sessions/Login',
data='token={}&fields=user_id'.format(token)).json()['user_id']
# WARNING: don't call any logging methods on the context object,
# it'll result in a NoneType error
cls.ctx = MethodContext(None)
cls.ctx.update({'token': token,
'user_id': user_id,
'provenance': [
{'service': 'kb_virsorter',
'method': 'please_never_use_it_in_production',
'method_params': []
}],
'authenticated': 1})
config_file = environ.get('KB_DEPLOYMENT_CONFIG', None)
cls.cfg = {}
config = ConfigParser()
config.read(config_file)
for nameval in config.items('kb_virsorter'):
cls.cfg[nameval[0]] = nameval[1]
cls.wsURL = cls.cfg['workspace-url']
cls.wsClient = workspaceService(cls.wsURL, token=token)
cls.serviceImpl = kb_virsorter(cls.cfg)
cls.testobjref = []
#cls.testobjdata = []
cls.testwsname = []
@classmethod
def tearDownClass(cls):
if hasattr(cls, 'wsName'):
cls.wsClient.delete_workspace({'workspace': cls.wsName})
print('Test workspace was deleted')
if hasattr(cls, 'testwsname') and len(cls.testwsname) > 0:
try:
print('Deleting workspace 2 ' + cls.testwsname[0])
cls.wsClient.delete_workspace({'workspace': cls.testwsname[0]})
print('Test workspace 2 was deleted ' + cls.testwsname[0])
except Exception as e:
print e
#if hasattr(cls, 'testobjdata'):
# try:
# print('Deleting shock data ' + str(len(cls.testobjdata)))
# print('Deleting shock data ' + str(len(cls.testobjdata[0]['data'][0])))
# print('Deleting shock data ' + str(cls.testobjdata[0]))
# node = cls.testobjdata[0]['data'][0]['lib']['file']['id']
# cls.delete_shock_node(node)
# print('Test shock data was deleted')
# except Exception as e:
# print e
def getWsClient(self):
return self.__class__.wsClient
def getWsName(self):
if hasattr(self.__class__, 'wsName'):
return self.__class__.wsName
suffix = int(time.time() * 1000)
wsName = "test_kb_virsorter_" + str(suffix)
ret = self.getWsClient().create_workspace({'workspace': wsName})
self.__class__.wsName = wsName
return wsName
def getImpl(self):
return self.__class__.serviceImpl
def getContext(self):
return self.__class__.ctx
def write_file(self, filename, content):
tmp_dir = self.cfg['scratch']
file_path = os.path.join(tmp_dir, filename)
with open(file_path, 'w') as fh1:
fh1.write(content)
return file_path
def delete_shock_node(self, node_id):
header = {'Authorization': 'Oauth {0}'.format(cls.token)}
requests.delete(cls.shockURL + '/node/' + node_id, headers=header,
allow_redirects=True)
def ztest_aaa_upload_to_shock(self):
print "upload ref data to shock staging"
self.dfUtil = DataFileUtil(os.environ['SDK_CALLBACK_URL'])
#file_path = self.write_file('Phage_gene_catalog.tar.gz', 'Test')
input_file_name = 'Phage_gene_catalog_plus_viromes.tar.gz'#'Phage_gene_catalog.tar.gz'#''PFAM_27.tar.gz'
source_file_path = "/kb/module/work/"+input_file_name# os.path.join(tmp_dir, input_file_name)
tmp_dir = self.cfg['scratch']
target_file_path = os.path.join(tmp_dir, input_file_name)
print "file_path " + source_file_path+"\t"+target_file_path
orig_size = os.path.getsize(source_file_path)
shutil.copy(source_file_path, target_file_path)
print "Testing "+target_file_path
print(os.path.isfile(target_file_path))
ret1 = self.dfUtil.file_to_shock(
{'file_path': target_file_path})
print str(ret1)
shock_id = ret1['shock_id']
print "shock_id "+shock_id
file_path2 = os.path.join("/kb/module/work/", 'test.tar.gz')
#ret2 = self.dfUtil.shock_to_file(
# {'shock_id': shock_id, 'file_path': file_path2})[0]
ret2 = self.dfUtil.shock_to_file(
{'shock_id': shock_id, 'file_path': file_path2})
print(ret2)
file_name = ret2['node_file_name']
attribs = ret2['attributes']
self.assertEqual(file_name, 'Phage_gene_catalog_plus_viromes.tar.gz')
self.assertEqual(ret2['file_path'], file_path2)
self.assertEqual(ret2['size'], orig_size)
self.assertIsNone(attribs)
#self.delete_shock_node(shock_id)
def create_random_string(self):
N = 20
return ''.join(
random.SystemRandom().choice(string.ascii_uppercase + string.digits) for _ in range(N))
def test_virsorter_ok(self):
self.upload_assembly()
if not self.testwsname:
self.testwsname.append(self.create_random_string())
print "upload_reads self.testwsname[0] " + self.testwsname[0]
#try:
# ret = self.wsClient.create_workspace({'workspace': self.testwsname[0]}) # test_ws_name
#except Exception as e:
# # print "ERROR"
# # print(type(e))
# # print(e.args)
# print(e)
# pass
print "self.testwsname "+ str(self.testwsname)
params = {}
params['assembly_ref'] = str(self.testobjref[0])#str(self.testwsname[0])+"/"+ #"16589/2/1"#""#'16589/2/1'#self.testobjref
params['ws_name'] = self.testwsname[0]
result = self.getImpl().run_virsorter(self.getContext(), params)
print('RESULT run_virsorter:')
pprint(result)
#testresult = [
# {'blah': 'blah', 'bleh': 'bleh'}]
testresult = [{'report_ref': result[0]['report_ref'], 'report_name': result[0]['report_name']}]
self.assertEqual(sorted(result), sorted(testresult))
def upload_assembly(self):
if not self.testobjref:
print "upload_assembly start"
indata = 'U00096.2.fa'#_first1000.
ftarget = os.path.join(self.cfg['scratch'], indata)#self.scratch, indata)
print "ftarget " + ftarget
ret = shutil.copy('../test_data/' + indata, ftarget)
#self.readsUtilClient = ReadsUtils(os.environ['SDK_CALLBACK_URL'])
self.assemblyUtilClient = AssemblyUtil(os.environ['SDK_CALLBACK_URL'])
if not self.testwsname:
self.testwsname.append(self.create_random_string())
print "upload_assembly self.testwsname[0] " + self.testwsname[0]
try:
ret = self.wsClient.create_workspace({'workspace': self.testwsname[0]}) #test_ws_name
except Exception as e:
#print "ERROR"
#print(type(e))
#print(e.args)
print(e)
pass
try:
print "attempt upload"
print "ftarget " + ftarget
ref = self.assemblyUtilClient.save_assembly_from_fasta(
{
'workspace_name': self.testwsname[0],
'assembly_name': 'Ecolik12MG1655',
'file': {'path': ftarget}})
print "upload_assembly"
print ref
#self.testobjref = []
self.testobjref.append(self.testwsname[0] + '/Ecolik12MG1655/1')
#self.testobjdata = []
#self.testobjdata.append(self.dfu.get_objects(
# {'object_refs': [self.testobjref[0]]}))
##print self.testobjdata[0]
except Exception as e:
print e
pass
print "self.testobjref[0]"
print self.testobjref
print self.testobjref[0]
