def transform(
shock_service_url=None,
#handle_service_url=None,
#output_file_name=None,
input_fasta_directory=None,
#working_directory=None, shock_id=None, handle_id=None,
#input_mapping=None, fasta_reference_only=False,
wsname=None,
wsurl=None,
genome_list_file=None,
# taxon_wsname=None,
# taxon_names_file=None,
level=logging.INFO,
logger=None):
"""
Uploads CondensedGenomeAssembly
Args:
shock_service_url: A url for the KBase SHOCK service.
input_fasta_directory: The directory where files will be read from.
level: Logging level, defaults to logging.INFO.
Returns:
JSON file on disk that can be saved as a KBase workspace object.
Authors:
Jason Baumohl, Matt Henderson
"""
if logger is None:
logger = script_utils.stderrlogger(__file__)
assembly_ws_client = doekbase.workspace.client.Workspace(wsurl)
assembly_workspace_object = assembly_ws_client.get_workspace_info(
{'workspace': wsname})
# taxon_ws_client = doekbase.workspace.client.Workspace(wsurl)
# taxon_workspace_object = ws_client.get_workspace_info({'workspace':taxon_wsname})
workspace_id = assembly_workspace_object[0]
workspace_name = assembly_workspace_object[1]
# #key scientific name, value is taxon object name (taxid_taxon)
# scientific_names_lookup = dict()
# taxon_names_file = taxon_names_file[0]
# if os.path.isfile(taxon_names_file):
# print "Found taxon_names_File"
# name_f = open(taxon_names_file, 'r')
# counter = 0
# for name_line in name_f:
# temp_list = re.split(r'\t*\|\t*', name_line)
# if temp_list[3] == "scientific name":
# scientific_names_lookup[temp_list[1]] = "%s_taxon" % (str(temp_list[0]))
# name_f.close()
genomes_list = list()
# genome_list_file = genome_list_file[0]
if os.path.isfile(genome_list_file):
print "Found Genome_list_File"
genomes_f = open(genome_list_file, 'r')
for genome_line in genomes_f:
temp_list = re.split(r'\n*', genome_line)
genomes_list.append(temp_list[0])
genomes_f.close()
logger.info("Starting conversion of FASTA to Assemblies")
token = os.environ.get('KB_AUTH_TOKEN')
# if input_mapping is None:
# logger.info("Scanning for FASTA files.")
# valid_extensions = [".fa",".fasta",".fna"]
# files = os.listdir(input_directory)
# fasta_files = [x for x in files if os.path.splitext(x)[-1] in valid_extensions]
# assert len(fasta_files) != 0
# logger.info("Found {0}".format(str(fasta_files)))
# input_file_name = os.path.join(input_directory,files[0])
# if len(fasta_files) > 1:
# logger.warning("Not sure how to handle multiple FASTA files in this context. Using {0}".format(input_file_name))
# else:
# input_file_name = os.path.join(os.path.join(input_directory, "FASTA.DNA.Assembly"), simplejson.loads(input_mapping)["FASTA.DNA.Assembly"])
for genome_id in genomes_list:
logger.info("Building Object.")
temp_genome_id = genome_id
temp_genome_id.replace("|", "\|")
input_file_name = "%s/%s.fasta" % (input_fasta_directory,
temp_genome_id)
if not os.path.isfile(input_file_name):
raise Exception("The input file name {0} is not a file!".format(
input_file_name))
# if not os.path.isdir(args.working_directory):
# raise Exception("The working directory {0} is not a valid directory!".format(working_directory))
# logger.debug(fasta_reference_only)
input_file_handle = TextFileDecoder.open_textdecoder(
input_file_name, 'ISO-8859-1')
# input_file_handle = open(input_file_name, 'r')
fasta_header = None
sequence_list = []
fasta_dict = dict()
first_header_found = False
contig_set_md5_list = []
# Pattern for replacing white space
pattern = re.compile(r'\s+')
sequence_exists = False
total_length = 0
gc_length = 0
#Note added X and x due to kb|g.1886.fasta
valid_chars = "-AaCcGgTtUuWwSsMmKkRrYyBbDdHhVvNnXx"
amino_acid_specific_characters = "PpLlIiFfQqEe"
sequence_start = 0
sequence_stop = 0
current_line = input_file_handle.readline()
# for current_line in input_file_handle:
while current_line != None and len(current_line) > 0:
# print "CURRENT LINE: " + current_line
if (current_line[0] == ">"):
# found a header line
# Wrap up previous fasta sequence
if (not sequence_exists) and first_header_found:
logger.error(
"There is no sequence related to FASTA record : {0}".
format(fasta_header))
raise Exception(
"There is no sequence related to FASTA record : {0}".
format(fasta_header))
if not first_header_found:
first_header_found = True
# sequence_start = input_file_handle.tell()
sequence_start = 0
else:
sequence_stop = input_file_handle.tell() - len(
current_line)
# build up sequence and remove all white space
total_sequence = ''.join(sequence_list)
total_sequence = re.sub(pattern, '', total_sequence)
if not total_sequence:
logger.error(
"There is no sequence related to FASTA record : {0}"
.format(fasta_header))
raise Exception(
"There is no sequence related to FASTA record : {0}"
.format(fasta_header))
for character in total_sequence:
if character not in valid_chars:
if character in amino_acid_specific_characters:
raise Exception(
"This fasta file may have amino acids in it instead of the required nucleotides."
)
raise Exception(
"This FASTA file has non nucleic acid characters : {0}"
.format(character))
length = len(total_sequence)
total_length = total_length + length
contig_gc_length = len(
re.findall('G|g|C|c', total_sequence))
contig_dict = dict()
contig_dict["gc_content"] = float(
contig_gc_length) / float(length)
gc_length = gc_length + contig_gc_length
fasta_key = fasta_header.strip()
contig_dict["contig_id"] = fasta_key
contig_dict["length"] = length
contig_dict["name"] = fasta_key
contig_dict[
"description"] = "Note MD5 is generated from uppercasing the sequence"
contig_md5 = hashlib.md5(
total_sequence.upper()).hexdigest()
contig_dict["md5"] = contig_md5
contig_set_md5_list.append(contig_md5)
contig_dict["is_circular"] = "unknown"
contig_dict["start_position"] = sequence_start
contig_dict["num_bytes"] = sequence_stop - sequence_start
# print "Sequence Start: " + str(sequence_start) + "Fasta: " + fasta_key
# print "Sequence Stop: " + str(sequence_stop) + "Fasta: " + fasta_key
fasta_dict[fasta_key] = contig_dict
# get set up for next fasta sequence
sequence_list = []
sequence_exists = False
# sequence_start = input_file_handle.tell()
sequence_start = 0
fasta_header = current_line.replace('>', '')
else:
if sequence_start == 0:
sequence_start = input_file_handle.tell() - len(
current_line)
sequence_list.append(current_line)
sequence_exists = True
current_line = input_file_handle.readline()
# wrap up last fasta sequence
if (not sequence_exists) and first_header_found:
logger.error(
"There is no sequence related to FASTA record : {0}".format(
fasta_header))
raise Exception(
"There is no sequence related to FASTA record : {0}".format(
fasta_header))
elif not first_header_found:
logger.error("There are no contigs in this file")
raise Exception("There are no contigs in this file")
else:
sequence_stop = input_file_handle.tell()
# build up sequence and remove all white space
total_sequence = ''.join(sequence_list)
total_sequence = re.sub(pattern, '', total_sequence)
if not total_sequence:
logger.error(
"There is no sequence related to FASTA record : {0}".
format(fasta_header))
raise Exception(
"There is no sequence related to FASTA record : {0}".
format(fasta_header))
for character in total_sequence:
if character not in valid_chars:
if character in amino_acid_specific_characters:
raise Exception(
"This fasta file may have amino acids in it instead of the required nucleotides."
)
raise Exception(
"This FASTA file has non nucleic acid characters : {0}"
.format(character))
length = len(total_sequence)
total_length = total_length + length
contig_gc_length = len(re.findall('G|g|C|c', total_sequence))
contig_dict = dict()
contig_dict["gc_content"] = float(contig_gc_length) / float(length)
gc_length = gc_length + contig_gc_length
fasta_key = fasta_header.strip()
contig_dict["contig_id"] = fasta_key
contig_dict["length"] = length
contig_dict["name"] = fasta_key
contig_dict[
"description"] = "Note MD5 is generated from uppercasing the sequence"
contig_md5 = hashlib.md5(total_sequence.upper()).hexdigest()
contig_dict["md5"] = contig_md5
contig_set_md5_list.append(contig_md5)
contig_dict["is_circular"] = "unknown"
contig_dict["start_position"] = sequence_start
contig_dict["num_bytes"] = sequence_stop - sequence_start
fasta_dict[fasta_key] = contig_dict
input_file_handle.close()
# if output_file_name is None:
# # default to input file name minus file extenstion adding "_contig_set" to the end
# base = os.path.basename(input_file_name)
# output_file_name = "{0}_contig_set.json".format(os.path.splitext(base)[0])
contig_set_dict = dict()
contig_set_dict["md5"] = hashlib.md5(",".join(
sorted(contig_set_md5_list))).hexdigest()
contig_set_dict["assembly_id"] = genome_id
contig_set_dict["name"] = genome_id
contig_set_dict["external_source"] = "KBase"
contig_set_dict["external_source_id"] = os.path.basename(
input_file_name)
contig_set_dict["external_source_origination_date"] = str(
os.stat(input_file_name).st_ctime)
contig_set_dict["contigs"] = fasta_dict
contig_set_dict["dna_size"] = total_length
contig_set_dict["gc_content"] = float(gc_length) / float(total_length)
contig_set_dict["num_contigs"] = len(fasta_dict.keys())
contig_set_dict["type"] = "Unknown"
contig_set_dict["notes"] = "Unknown"
shock_id = None
if shock_id is None:
shock_info = script_utils.upload_file_to_shock(logger,
shock_service_url,
input_file_name,
token=token)
shock_id = shock_info["id"]
contig_set_dict["fasta_handle_ref"] = shock_id
# For future development if the type is updated to the handle_reference instead of a shock_reference
assembly_not_saved = True
assembly_provenance = [{
"script":
__file__,
"script_ver":
"0.1",
"description":
"Generated from fasta files generated from v5 of the CS."
}]
while assembly_not_saved:
try:
assembly_info = assembly_ws_client.save_objects({
"workspace":
workspace_name,
"objects": [{
"type": "KBaseGenomesCondensedPrototypeV2.Assembly",
"data": contig_set_dict,
"name": "%s_assembly" % (genome_id),
"provenance": assembly_provenance
}]
})
assembly_not_saved = False
except doekbase.workspace.client.ServerError as err:
print "SAVE FAILED ON genome " + str(
genome_id) + " ERROR: " + err
raise
except:
print "SAVE FAILED ON genome " + str(
genome_id) + " GENERAL_EXCEPTION: " + str(
sys.exc_info()[0])
raise
logger.info("Conversion completed.")
def transform(shock_service_url=None,
#handle_service_url=None,
#output_file_name=None,
input_fasta_directory=None,
#working_directory=None, shock_id=None, handle_id=None,
#input_mapping=None, fasta_reference_only=False,
wsname=None,
wsurl=None,
genome_list_file=None,
# taxon_wsname=None,
# taxon_names_file=None,
level=logging.INFO, logger=None):
"""
Uploads CondensedGenomeAssembly
Args:
shock_service_url: A url for the KBase SHOCK service.
input_fasta_directory: The directory where files will be read from.
level: Logging level, defaults to logging.INFO.
Returns:
JSON file on disk that can be saved as a KBase workspace object.
Authors:
Jason Baumohl, Matt Henderson
"""
if logger is None:
logger = script_utils.stderrlogger(__file__)
assembly_ws_client = doekbase.workspace.client.Workspace(wsurl)
assembly_workspace_object = assembly_ws_client.get_workspace_info({'workspace':wsname})
# taxon_ws_client = doekbase.workspace.client.Workspace(wsurl)
# taxon_workspace_object = ws_client.get_workspace_info({'workspace':taxon_wsname})
workspace_id = assembly_workspace_object[0]
workspace_name = assembly_workspace_object[1]
# #key scientific name, value is taxon object name (taxid_taxon)
# scientific_names_lookup = dict()
# taxon_names_file = taxon_names_file[0]
# if os.path.isfile(taxon_names_file):
# print "Found taxon_names_File"
# name_f = open(taxon_names_file, 'r')
# counter = 0
# for name_line in name_f:
# temp_list = re.split(r'\t*\|\t*', name_line)
# if temp_list[3] == "scientific name":
# scientific_names_lookup[temp_list[1]] = "%s_taxon" % (str(temp_list[0]))
# name_f.close()
genomes_list = list()
# genome_list_file = genome_list_file[0]
if os.path.isfile(genome_list_file):
print "Found Genome_list_File"
genomes_f = open(genome_list_file, 'r')
for genome_line in genomes_f:
temp_list = re.split(r'\n*', genome_line)
genomes_list.append(temp_list[0])
genomes_f.close()
logger.info("Starting conversion of FASTA to Assemblies")
token = os.environ.get('KB_AUTH_TOKEN')
# if input_mapping is None:
# logger.info("Scanning for FASTA files.")
# valid_extensions = [".fa",".fasta",".fna"]
# files = os.listdir(input_directory)
# fasta_files = [x for x in files if os.path.splitext(x)[-1] in valid_extensions]
# assert len(fasta_files) != 0
# logger.info("Found {0}".format(str(fasta_files)))
# input_file_name = os.path.join(input_directory,files[0])
# if len(fasta_files) > 1:
# logger.warning("Not sure how to handle multiple FASTA files in this context. Using {0}".format(input_file_name))
# else:
# input_file_name = os.path.join(os.path.join(input_directory, "FASTA.DNA.Assembly"), simplejson.loads(input_mapping)["FASTA.DNA.Assembly"])
for genome_id in genomes_list:
logger.info("Building Object.")
temp_genome_id = genome_id
temp_genome_id.replace("|","\|")
input_file_name = "%s/%s.fasta" % (input_fasta_directory,temp_genome_id)
if not os.path.isfile(input_file_name):
raise Exception("The input file name {0} is not a file!".format(input_file_name))
# if not os.path.isdir(args.working_directory):
# raise Exception("The working directory {0} is not a valid directory!".format(working_directory))
# logger.debug(fasta_reference_only)
input_file_handle = TextFileDecoder.open_textdecoder(input_file_name, 'ISO-8859-1')
# input_file_handle = open(input_file_name, 'r')
fasta_header = None
sequence_list = []
fasta_dict = dict()
first_header_found = False
contig_set_md5_list = []
# Pattern for replacing white space
pattern = re.compile(r'\s+')
sequence_exists = False
total_length = 0
gc_length = 0
#Note added X and x due to kb|g.1886.fasta
valid_chars = "-AaCcGgTtUuWwSsMmKkRrYyBbDdHhVvNnXx"
amino_acid_specific_characters = "PpLlIiFfQqEe"
sequence_start = 0
sequence_stop = 0
current_line = input_file_handle.readline()
# for current_line in input_file_handle:
while current_line != None and len(current_line) > 0:
# print "CURRENT LINE: " + current_line
if (current_line[0] == ">"):
# found a header line
# Wrap up previous fasta sequence
if (not sequence_exists) and first_header_found:
logger.error("There is no sequence related to FASTA record : {0}".format(fasta_header))
raise Exception("There is no sequence related to FASTA record : {0}".format(fasta_header))
if not first_header_found:
first_header_found = True
# sequence_start = input_file_handle.tell()
sequence_start = 0
else:
sequence_stop = input_file_handle.tell() - len(current_line)
# build up sequence and remove all white space
total_sequence = ''.join(sequence_list)
total_sequence = re.sub(pattern, '', total_sequence)
if not total_sequence :
logger.error("There is no sequence related to FASTA record : {0}".format(fasta_header))
raise Exception("There is no sequence related to FASTA record : {0}".format(fasta_header))
for character in total_sequence:
if character not in valid_chars:
if character in amino_acid_specific_characters:
raise Exception("This fasta file may have amino acids in it instead of the required nucleotides.")
raise Exception("This FASTA file has non nucleic acid characters : {0}".format(character))
length = len(total_sequence)
total_length = total_length + length
contig_gc_length = len(re.findall('G|g|C|c',total_sequence))
contig_dict = dict()
contig_dict["gc_content"] = float(contig_gc_length)/float(length)
gc_length = gc_length + contig_gc_length
fasta_key = fasta_header.strip()
contig_dict["contig_id"] = fasta_key
contig_dict["length"] = length
contig_dict["name"] = fasta_key
contig_dict["description"] = "Note MD5 is generated from uppercasing the sequence"
contig_md5 = hashlib.md5(total_sequence.upper()).hexdigest()
contig_dict["md5"] = contig_md5
contig_set_md5_list.append(contig_md5)
contig_dict["is_circular"] = "unknown"
contig_dict["start_position"] = sequence_start
contig_dict["num_bytes"] = sequence_stop - sequence_start
# print "Sequence Start: " + str(sequence_start) + "Fasta: " + fasta_key
# print "Sequence Stop: " + str(sequence_stop) + "Fasta: " + fasta_key
fasta_dict[fasta_key] = contig_dict
# get set up for next fasta sequence
sequence_list = []
sequence_exists = False
# sequence_start = input_file_handle.tell()
sequence_start = 0
fasta_header = current_line.replace('>','')
else:
if sequence_start == 0:
sequence_start = input_file_handle.tell() - len(current_line)
sequence_list.append(current_line)
sequence_exists = True
current_line = input_file_handle.readline()
# wrap up last fasta sequence
if (not sequence_exists) and first_header_found:
logger.error("There is no sequence related to FASTA record : {0}".format(fasta_header))
raise Exception("There is no sequence related to FASTA record : {0}".format(fasta_header))
elif not first_header_found :
logger.error("There are no contigs in this file")
raise Exception("There are no contigs in this file")
else:
sequence_stop = input_file_handle.tell()
# build up sequence and remove all white space
total_sequence = ''.join(sequence_list)
total_sequence = re.sub(pattern, '', total_sequence)
if not total_sequence :
logger.error("There is no sequence related to FASTA record : {0}".format(fasta_header))
raise Exception("There is no sequence related to FASTA record : {0}".format(fasta_header))
for character in total_sequence:
if character not in valid_chars:
if character in amino_acid_specific_characters:
raise Exception("This fasta file may have amino acids in it instead of the required nucleotides.")
raise Exception("This FASTA file has non nucleic acid characters : {0}".format(character))
length = len(total_sequence)
total_length = total_length + length
contig_gc_length = len(re.findall('G|g|C|c',total_sequence))
contig_dict = dict()
contig_dict["gc_content"] = float(contig_gc_length)/float(length)
gc_length = gc_length + contig_gc_length
fasta_key = fasta_header.strip()
contig_dict["contig_id"] = fasta_key
contig_dict["length"] = length
contig_dict["name"] = fasta_key
contig_dict["description"] = "Note MD5 is generated from uppercasing the sequence"
contig_md5 = hashlib.md5(total_sequence.upper()).hexdigest()
contig_dict["md5"]= contig_md5
contig_set_md5_list.append(contig_md5)
contig_dict["is_circular"] = "unknown"
contig_dict["start_position"] = sequence_start
contig_dict["num_bytes"] = sequence_stop - sequence_start
fasta_dict[fasta_key] = contig_dict
input_file_handle.close()
# if output_file_name is None:
# # default to input file name minus file extenstion adding "_contig_set" to the end
# base = os.path.basename(input_file_name)
# output_file_name = "{0}_contig_set.json".format(os.path.splitext(base)[0])
contig_set_dict = dict()
contig_set_dict["md5"] = hashlib.md5(",".join(sorted(contig_set_md5_list))).hexdigest()
contig_set_dict["assembly_id"] = genome_id
contig_set_dict["name"] = genome_id
contig_set_dict["external_source"] = "KBase"
contig_set_dict["external_source_id"] = os.path.basename(input_file_name)
contig_set_dict["external_source_origination_date"] = str(os.stat(input_file_name).st_ctime)
contig_set_dict["contigs"] = fasta_dict
contig_set_dict["dna_size"] = total_length
contig_set_dict["gc_content"] = float(gc_length)/float(total_length)
contig_set_dict["num_contigs"] = len(fasta_dict.keys())
contig_set_dict["type"] = "Unknown"
contig_set_dict["notes"] = "Unknown"
shock_id = None
if shock_id is None:
shock_info = script_utils.upload_file_to_shock(logger, shock_service_url, input_file_name, token=token)
shock_id = shock_info["id"]
contig_set_dict["fasta_handle_ref"] = shock_id
# For future development if the type is updated to the handle_reference instead of a shock_reference
assembly_not_saved = True
assembly_provenance = [{"script": __file__, "script_ver": "0.1", "description": "Generated from fasta files generated from v5 of the CS."}]
while assembly_not_saved:
try:
assembly_info = assembly_ws_client.save_objects({"workspace": workspace_name,"objects":[
{"type":"KBaseGenomesCondensedPrototypeV2.Assembly",
"data":contig_set_dict,
"name": "%s_assembly" % (genome_id),
"provenance":assembly_provenance}]})
assembly_not_saved = False
except doekbase.workspace.client.ServerError as err:
print "SAVE FAILED ON genome " + str(genome_id) + " ERROR: " + err
raise
except:
print "SAVE FAILED ON genome " + str(genome_id) + " GENERAL_EXCEPTION: " + str(sys.exc_info()[0])
raise
logger.info("Conversion completed.")
# help=script_details["Args"]["output_file_name"],
# action='store', type=str, nargs='?', default=None, required=False)
# parser.add_argument('--shock_id',
# help=script_details["Args"]["shock_id"],
# action='store', type=str, nargs='?', default=None, required=False)
# parser.add_argument('--handle_id',
# help=script_details["Args"]["handle_id"],
# action='store', type=str, nargs='?', default=None, required=False)
# parser.add_argument('--input_mapping',
# help=script_details["Args"]["input_mapping"],
# action='store', type=unicode, nargs='?', default=None, required=False)
args, unknown = parser.parse_known_args()
logger = script_utils.stderrlogger(__file__)
logger.debug(args)
try:
transform(
shock_service_url=args.shock_service_url,
# handle_service_url = args.handle_service_url,
# output_file_name = args.output_file_name,
input_fasta_directory=args.input_fasta_directory,
# working_directory = args.working_directory,
# shock_id = args.shock_id,
# handle_id = args.handle_id,
# input_mapping = args.input_mapping,
wsname=args.wsname,
wsurl=args.wsurl,
# help=script_details["Args"]["output_file_name"],
# action='store', type=str, nargs='?', default=None, required=False)
# parser.add_argument('--shock_id',
# help=script_details["Args"]["shock_id"],
# action='store', type=str, nargs='?', default=None, required=False)
# parser.add_argument('--handle_id',
# help=script_details["Args"]["handle_id"],
# action='store', type=str, nargs='?', default=None, required=False)
# parser.add_argument('--input_mapping',
# help=script_details["Args"]["input_mapping"],
# action='store', type=unicode, nargs='?', default=None, required=False)
args, unknown = parser.parse_known_args()
logger = script_utils.stderrlogger(__file__)
logger.debug(args)
try:
transform(shock_service_url = args.shock_service_url,
# handle_service_url = args.handle_service_url,
# output_file_name = args.output_file_name,
input_fasta_directory = args.input_fasta_directory,
# working_directory = args.working_directory,
# shock_id = args.shock_id,
# handle_id = args.handle_id,
# input_mapping = args.input_mapping,
wsname = args.wsname,
wsurl = args.wsurl,
# taxon_wsname = args.taxon_wsname,
