def validate(fformat, files, get_info=False):
for f in files:
data = obj_from_url(API_URL + "/inbox/" + f,
auth=mgrast_auth['token'],
debug=DEBUG)
if ('data_type' in data) and (data['data_type'] == fformat):
print("%s (%s) is a valid %s file" %
(data['filename'], f, fformat))
elif fformat == 'sequence':
if data['stats_info']['file_type'] in ['fasta', 'fastq']:
info = obj_from_url(API_URL + "/inbox/stats/" + f,
auth=mgrast_auth['token'],
debug=DEBUG)
print(info['status'].replace("stats computation",
"validation"))
else:
sys.stderr.write(
"ERROR: %s (%s) is not a fastq or fasta file\n" %
(data['filename'], f))
elif fformat == 'metadata':
if data['stats_info']['file_type'] == 'excel':
info = obj_from_url(API_URL + "/inbox/validate/" + f,
auth=mgrast_auth['token'],
debug=DEBUG)
if get_info:
return info
else:
print(info['status'])
if info['status'].startswith('invalid'):
print(info['error'])
else:
sys.stderr.write("ERROR: %s (%s) is not a spreadsheet file\n" %
(data['filename'], f))
def upload(files):
for f in files:
attr = json.dumps({
"type": "inbox",
"id": mgrast_auth['id'],
"user": mgrast_auth['login'],
"email": mgrast_auth['email']
})
# get format
if f.endswith(".gz"):
fformat = "gzip"
elif f.endswith(".bz2"):
fformat = "bzip2"
else:
fformat = "upload"
# POST to shock
data = {"attributes_str": attr}
result = post_file(SHOCK_URL + "/node",
fformat,
f,
data=data,
auth=mgrast_auth['token'],
debug=DEBUG)
# compute file info
info = obj_from_url(API_URL + "/inbox/info/" + result['data']['id'],
auth=mgrast_auth['token'],
debug=DEBUG)
print(info['status'])
# compute sequence stats
if info['stats_info']['file_type'] in ['fasta', 'fastq']:
stats = obj_from_url(API_URL + "/inbox/stats/" +
result['data']['id'],
auth=mgrast_auth['token'],
debug=DEBUG)
print(stats['status'].replace("stats computation", "validation"))
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='', description=prehelp%(VERSION, search_opts), epilog=posthelp%AUTH_LIST)
parser.add_argument("--url", dest="url", default=API_URL, help="communities API url")
parser.add_argument("--user", dest="user", default=None, help="OAuth username")
parser.add_argument("--passwd", dest="passwd", default=None, help="OAuth password")
parser.add_argument("--token", dest="token", default=None, help="OAuth token")
parser.add_argument("--limit", dest="limit", type=int, default=15, help="Number of results to show, if > 50 will use paginated queries to get all, default 15")
parser.add_argument("--order", dest="order", default=None, help="field metagenomes are ordered by, default is no ordering")
parser.add_argument("--direction", dest="direction", default="asc", help="direction of order. 'asc' for ascending order, 'desc' for descending order, default is asc")
parser.add_argument("--public", dest="public", action="store_true", default=False, help="return both private and pubulic data if using authenticated search, default is private only. Non-authenticated search only returns public.")
parser.add_argument("--match", dest="match", default="all", help="search logic. 'all' for metagenomes that match all search parameters, 'any' for metagenomes that match any search parameters, default is all")
parser.add_argument("--status", dest="status", default="public", help="types of metagenomes to return. 'both' for all data (public and private), 'public' for public data, 'private' for users private data, default is public")
parser.add_argument("--verbosity", dest="verbosity", default='minimal', help="amount of information to display. use keyword 'minimal' for id and name, use keyword 'full' for MIxS GSC metadata, default is minimal")
for sfield in SEARCH_FIELDS:
parser.add_argument("--"+sfield, dest=sfield, default=None, help="search parameter: query string for "+sfield)
# get inputs
opts = parser.parse_args()
# get auth
token = get_auth_token(opts)
# build call url
total = 0
maxLimit = 50
params = [ ('limit', opts.limit if opts.limit < maxLimit else maxLimit),
('public', 'yes' if opts.public or (not token) else 'no') ]
for sfield in SEARCH_FIELDS:
if hasattr(opts, sfield) and getattr(opts, sfield):
params.append((sfield, getattr(opts, sfield)))
if opts.order:
params.append(('order', opts.order))
params.append(('direction', opts.direction))
url = opts.url+'/search?'+urlencode(params, True)
# retrieve data
fields = ['metagenome_id', 'public'] + SEARCH_FIELDS
result = obj_from_url(url, auth=token)
found = len(result['data'])
if found == 0:
sys.stdout.write("No results found for the given search parameters\n")
return 0
total += found
# output header
safe_print("\t".join(fields)+"\n")
# output rows
display_search(result['data'], fields)
while ('next' in result) and result['next'] and (total < opts.limit):
url = result['next']
result = obj_from_url(url, auth=token)
total += len(result['data'])
display_search(result['data'], fields)
return 0
def test_heartbeat():
URI0 = API_URL + "heartbeat"
obj = obj_from_url(URI0)
SERVICES = [obj["requests"][1]["parameters"]["required"]["service"][1][i][0] for i in range(len(obj["requests"][1]["parameters"]["required"]["service"][1]))]
for service in SERVICES:
URI = API_URL + "heartbeat/" + service
obj_detail = obj_from_url(URI)
assert obj_detail["status"] == 1, "Failed heartbeat on " + service
return 1
def test_heartbeat():
URI0 = API_URL + "heartbeat"
obj = obj_from_url(URI0)
SERVICES = [obj["requests"][1]["parameters"]["required"]["service"][1][i][0] for i in range(len(obj["requests"][1]["parameters"]["required"]["service"][1]))]
for service in SERVICES:
URI = API_URL + "heartbeat/" + service
obj_detail = obj_from_url(URI)
assert obj_detail["status"] == 1, "Failed heartbeat on " + service
return 1
def ko2roles(opts, sshier, koid):
ko_anno = obj_from_url(opts.url+'/m5nr/accession/'+koid+'?version=1&source=KO&limit=1000')
ko_md5s = set( map(lambda x: x['md5'], ko_anno['data']) )
if len(ko_md5s) == 0:
return [], []
ko_post = {'version': 1, 'source': 'Subsystems', 'data': list(ko_md5s), 'limit': 10000}
ss_anno = obj_from_url(opts.url+'/m5nr/md5', data=json.dumps(ko_post, separators=(',',':')))
roles = set()
for ss in ss_anno['data']:
if ss['accession'] in sshier:
roles.add( sshier[ss['accession']]['level4'] )
return list(roles), list(ko_md5s)
def ko2roles(opts, sshier, koid):
ko_anno = obj_from_url(opts.url+'/m5nr/accession/'+koid+'?version=1&source=KO&limit=1000')
ko_md5s = set(map(lambda x: x['md5'], ko_anno['data']))
if len(ko_md5s) == 0:
return [], []
ko_post = {'version': 1, 'source': 'Subsystems', 'data': list(ko_md5s), 'limit': 10000}
ss_anno = obj_from_url(opts.url+'/m5nr/md5', data=json.dumps(ko_post, separators=(',',':')))
roles = set()
for ss in ss_anno['data']:
if ss['accession'] in sshier:
roles.add(sshier[ss['accession']]['level4'])
return list(roles), list(ko_md5s)
def upload_archive(afile):
attr = json.dumps({
"type": "inbox",
"id": mgrast_auth['id'],
"user": mgrast_auth['login'],
"email": mgrast_auth['email']
})
# get format
if afile.endswith(".tar.gz"):
aformat = "tar.gz"
elif afile.endswith(".tar.bz2"):
aformat = "tar.bz2"
elif afile.endswith(".tar"):
aformat = "tar"
elif afile.endswith(".zip"):
aformat = "zip"
else:
sys.stderr.write("ERROR: input file %s is incorrect archive format\n" %
afile)
sys.exit(1)
# POST to shock / unpack
data = {"file_name": os.path.basename(afile), "attributes_str": attr}
result = post_file(SHOCK_URL + "/node",
"upload",
afile,
data=data,
auth=mgrast_auth['token'],
debug=DEBUG)
data = {
"unpack_node": result['data']['id'],
"archive_format": aformat,
"attributes_str": attr
}
unpack = obj_from_url(SHOCK_URL + "/node",
data=data,
auth=mgrast_auth['token'],
debug=DEBUG)
# process new nodes
for node in unpack['data']:
# compute file info
info = obj_from_url(API_URL + "/inbox/info/" + node['id'],
auth=mgrast_auth['token'],
debug=DEBUG)
print(info['status'])
# compute sequence stats
if info['stats_info']['file_type'] in ['fasta', 'fastq']:
stats = obj_from_url(API_URL + "/inbox/stats/" + node['id'],
auth=mgrast_auth['token'],
debug=DEBUG)
print(stats['status'].replace("stats computation", "validation"))
def rename(fid, fname):
data = {"name": fname, "file": fid}
result = obj_from_url(API_URL + "/inbox/rename",
data=json.dumps(data),
auth=mgrast_auth['token'],
debug=DEBUG)
print(result['status'])
def delete(files):
for f in files:
result = obj_from_url(API_URL + "/inbox/" + f,
auth=mgrast_auth['token'],
method='DELETE',
debug=DEBUG)
print(result['status'])
def main(args):
OptionParser.format_description = lambda self, formatter: self.description
OptionParser.format_epilog = lambda self, formatter: self.epilog
parser = OptionParser(usage='', description=prehelp%VERSION, epilog=posthelp%AUTH_LIST)
parser.add_option("", "--ids", dest="ids", default=None, help="comma seperated list of KBase Metagenome IDs")
parser.add_option("", "--url", dest="url", default=API_URL, help="communities API url")
parser.add_option("", "--user", dest="user", default=None, help="OAuth username")
parser.add_option("", "--passwd", dest="passwd", default=None, help="OAuth password")
parser.add_option("", "--token", dest="token", default=None, help="OAuth token")
parser.add_option("", "--level", dest="level", default='species', help="taxon level to retrieve abundances for, default is species")
parser.add_option("", "--source", dest="source", default='SEED', help="datasource to filter results by, default is SEED")
# get inputs
(opts, args) = parser.parse_args()
if not opts.ids:
sys.stderr.write("ERROR: one or more ids required\n")
return 1
# get auth
token = get_auth_token(opts)
# build url / retrieve data / output data
id_list = opts.ids.split(',')
params = [ ('level', opts.level), ('source', opts.source) ]
for i in id_list:
url = opts.url+'/compute/alphadiversity/'+i+'?'+urlencode(params, True)
data = obj_from_url(url, auth=token)
safe_print("%s\t%s\n" %(i, data['data']))
return 0
def listall():
data = obj_from_url(API_URL+"/submission/list", auth=mgrast_auth['token'])
submissions = sorted(data['submissions'], key=itemgetter('timestamp'))
pt = PrettyTable(["ID", "type", "status", "time"])
for s in submissions:
row = [ s['id'], s['type'], s['status'], s['timestamp'] ]
pt.add_row(row)
pt.align = "l"
print(pt)
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument("--ids",
dest="ids",
default=None,
help="comma seperated list of KBase Metagenome IDs")
parser.add_argument("--url",
dest="url",
default=API_URL,
help="communities API url")
parser.add_argument("--user",
dest="user",
default=None,
help="OAuth username")
parser.add_argument("--passwd",
dest="passwd",
default=None,
help="OAuth password")
parser.add_argument("--token",
dest="token",
default=None,
help="OAuth token")
parser.add_argument(
"--level",
dest="level",
default='species',
help="taxon level to retrieve abundances for, default is species")
parser.add_argument(
"--source",
dest="source",
default='SEED',
help="datasource to filter results by, default is SEED")
# get inputs
opts = parser.parse_args()
if not opts.ids:
sys.stderr.write("ERROR: one or more ids required\n")
return 1
# get auth
token = get_auth_token(opts)
# build url / retrieve data / output data
id_list = opts.ids.split(',')
params = [('level', opts.level), ('source', opts.source)]
for i in id_list:
url = opts.url + '/compute/alphadiversity/' + i + '?' + urlencode(
params, True)
data = obj_from_url(url, auth=token)
safe_print("%s\t%s\n" % (i, data['data']))
return 0
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='', description=prehelp%VERSION, epilog=posthelp%AUTH_LIST)
parser.add_argument("--id", dest="id", default=None, help="KBase Metagenome ID, required")
parser.add_argument("--url", dest="url", default=API_URL, help="communities API url")
parser.add_argument("--input", dest="input", default='-', help="input: filename or stdin (-), default is stdin")
parser.add_argument("--output", dest="output", default='text', help="output format: 'text' for tabbed table, 'biom' for BIOM format, default is text")
# get inputs
opts = parser.parse_args()
if (opts.input != '-') and (not os.path.isfile(opts.input)):
sys.stderr.write("ERROR: input data missing\n")
return 1
if opts.output not in ['text', 'biom']:
sys.stderr.write("ERROR: invalid output format\n")
return 1
# get biom
try:
indata = sys.stdin.read() if opts.input == '-' else open(opts.input, 'r').read()
biom = json.loads(indata)
rows, cols, matrix = biom_to_matrix(biom)
except:
sys.stderr.write("ERROR: unable to load input biom data\n")
return 1
# get SS hierarchy
ss_hier = dict([ (x['accession'], x) for x in obj_from_url(opts.url+'m5nr/ontology?version=1&source=Subsystems')['data'] ])
# biom KO -> SS
ssrows = []
ssmatrix = []
for r, rid in enumerate(rows):
roles, md5s = ko2roles(opts, ss_hier, rid)
if not roles:
continue
for role in roles:
fig_ids = role2figs(opts, role, md5s)
if opts.output == 'text':
# text output: feature list, function, abundance for function, avg evalue for function, organism
safe_print("%s\t%s\t%d\t%.2e\t%s\n" %(",".join(fig_ids), role, matrix[r][0], 0, 'glob'))
elif opts.output == 'biom':
ssrows.append({'id': role, 'metadata': {'accession': fig_ids}})
ssmatrix.append(matrix[r])
# biom output
if opts.output == 'biom':
biom['matrix_type'] = 'sparse'
biom['shape'][0] = len(ssrows)
biom['rows'] = ssrows
biom['data'] = ssmatrix
safe_print(json.dumps(biom)+"\n")
return 0
def status(sid):
data = obj_from_url(API_URL+"/submission/"+sid+'?full=1', auth=mgrast_auth['token'])
# check for errors
if ('error' in data) and data['error']:
sys.stderr.write("ERROR: %s\n"%data['error'])
sys.exit(1)
try:
fids = map(lambda x: x['id'], data['inputs'])
fnames = map(lambda x: x['filename'], data['inputs'])
fsizes = map(lambda x: str(x['filesize']), data['inputs'])
except:
fids = map(lambda x: x['id'], data['inputs'].values())
fnames = map(lambda x: x['filename'], data['inputs'].values())
fsizes = map(lambda x: str(x['filesize']), data['inputs'].values())
# submission summary
pt_summary = PrettyTable(["submission ID", "type", "project", "submit time", "input file ID", "input file name", "input file size", "status"])
pt_summary.add_row([data['id'], data['type'], data['project'], data['info']['submittime'], "\n".join(fids), "\n".join(fnames), "\n".join(fsizes), data['state']])
pt_summary.align = "l"
print(pt_summary)
# submission status
if ('preprocessing' in data) and data['preprocessing']:
pt_status = PrettyTable(["submission step", "step name", "step status", "step inputs"])
for i, p in enumerate(data['preprocessing']):
pstatus = p['status']
if ('error' in p) and p['error']:
pstatus += "\n"+p['error']
pt_status.add_row([i, p['stage'], pstatus, "\n".join(p['inputs'])])
pt_status.align = "l"
print(pt_status)
# metagenome info
if ('metagenomes' in data) and data['metagenomes']:
pt_mg = PrettyTable(["metagenome ID", "metagenome name", "status", "current steps", "submit time", "complete time", "pipeline ID"])
for m in data['metagenomes']:
state = "in-progress"
if len(m['state']) == 1:
state = m['state'][0]
else:
for s in m['state']:
if s == 'suspend':
state = 'suspend'
remain = 0
if m['task'] and (len(m['task']) > 0):
remain = len(m['task'])
pt_mg.add_row([m['userattr']['id'], m['userattr']['name'], state, remain, m['submittime'], m['completedtime'], m['id']])
pt_mg.align = "l"
print(pt_mg)
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='', description=prehelp%VERSION, epilog=posthelp%AUTH_LIST)
parser.add_argument("--id", dest="id", default=None, help="KBase Metagenome ID")
parser.add_argument("--url", dest="url", default=API_URL, help="communities API url")
parser.add_argument("--user", dest="user", default=None, help="OAuth username")
parser.add_argument("--passwd", dest="passwd", default=None, help="OAuth password")
parser.add_argument("--token", dest="token", default=None, help="OAuth token")
parser.add_argument("--verbosity", dest="verbosity", default='mixs', help="amount of metadata to display. use keyword 'mixs' for GSC MIxS metadata, use keyword 'full' for all GSC metadata, default is mixs")
# get inputs
opts = parser.parse_args()
if not opts.id:
sys.stderr.write("ERROR: id required\n")
return 1
# get auth
token = get_auth_token(opts)
# build call url
verb = opts.verbosity if opts.verbosity == 'mixs' else 'metadata'
url = opts.url+'/metagenome/'+opts.id+'?verbosity='+verb
# retrieve / output data
result = obj_from_url(url, auth=token)
if opts.verbosity == 'mixs':
for r in sorted(result.keys()):
if r not in ['project', 'library', 'sample']:
safe_print("%s\t%s\n" %(r, result[r]))
elif opts.verbosity == 'full':
md = result['metadata']
safe_print("category\tlabel\tvalue\n")
if ('project' in md) and md['project']['data']:
for p in sorted(md['project']['data'].keys()):
safe_print("project\t%s\t%s\n" %(p, md['project']['data'][p]))
if ('sample' in md) and md['sample']['data']:
for s in sorted(md['sample']['data'].keys()):
safe_print("sample\t%s\t%s\n" %(s, md['sample']['data'][s]))
if ('library' in md) and ('type' in md['library']) and md['library']['data']:
for l in sorted(md['library']['data'].keys()):
safe_print("library: %s\t%s\t%s\n" %(md['library']['type'], l, md['library']['data'][l]))
if ('env_package' in md) and ('type' in md['env_package']) and md['env_package']['data']:
for e in sorted(md['env_package']['data'].keys()):
safe_print("env package: %s\t%s\t%s\n" %(md['env_package']['type'], e, md['env_package']['data'][e]))
else:
sys.stderr.write("ERROR: invalid verbosity type\n")
return 1
return 0
def check_ids(files):
data = obj_from_url(API_URL + "/inbox",
auth=mgrast_auth['token'],
debug=DEBUG)
if len(data['files']) == 0:
sys.stderr.write("ERROR: Your inbox is empty, please upload first.\n")
sys.exit(1)
ids = [x['id'] for x in data['files']]
for f in files:
if f not in ids:
sys.stderr.write(
"ERROR: File ID '%s' does not exist in your inbox. Did you use File Name by mistake?\n"
% f)
sys.exit(1)
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument("--url", dest="url", default=API_URL, help="API url")
parser.add_argument("--md5", dest="md5", default=None, help="sequence md5")
parser.add_argument("--id", dest="id", default=None, help="accession ID")
parser.add_argument(
"--source",
dest="source",
default='SwissProt',
help=
"datasource to get record from, one of: SwissProt, TreMBL, InterPro")
parser.add_argument("--version",
dest="version",
default='1',
help="M5NR version to use, one of 1 or 9")
# get inputs
opts = parser.parse_args()
# build url for m5nr query
params = [('limit', '1'), ('version', opts.version),
('source', opts.source)]
if opts.md5:
url = opts.url + '/m5nr/md5/' + opts.md5 + '?' + urlencode(
params, True)
elif opts.id:
url = opts.url + '/m5nr/accession/' + opts.id + '?' + urlencode(
params, True)
else:
sys.stderr.write("ERROR: no md5 checksum or accession given\n")
return 1
# retrieve data
result = obj_from_url(url)
if len(result['data']) == 0:
sys.stderr.write("ERROR: no match in M5NR version %s\n" % opts.version)
return 1
# output data
stdout_from_url(UNIPROT_URL + result['data'][0]['accession'] + '.txt')
return 0
def upload(files, verbose):
fids = []
attr = json.dumps({
"type": "inbox",
"id": mgrast_auth['id'],
"user": mgrast_auth['login'],
"email": mgrast_auth['email']
})
for i, f in enumerate(files):
# get format
if f.endswith(".gz"):
fformat = "gzip"
fname = os.path.basename(f[:-3])
elif f.endswith(".bz2"):
fformat = "bzip2"
fname = os.path.basename(f[:-4])
else:
fformat = "upload"
fname = os.path.basename(f)
# POST to shock
data = {
"file_name": fname,
"attributes_str": attr
}
if verbose:
if len(files) > 1:
print("Uploading file %d of %d (%s) to MG-RAST Shock"%(i+1, len(files), f))
else:
print("Uploading file %s to MG-RAST Shock"%(f))
result = post_file(SHOCK_URL+"/node", fformat, f, data=data, auth=mgrast_auth['token'], debug=verbose)
if verbose:
print(json.dumps(result['data']))
if len(files) > 1:
print("Setting info for file %d of %d (%s) in MG-RAST inbox"%(i+1, len(files), f))
else:
print("Setting info for file %s in MG-RAST inbox"%(f))
# compute file info
info = obj_from_url(API_URL+"/inbox/info/"+result['data']['id'], auth=mgrast_auth['token'], debug=verbose)
if verbose:
print(json.dumps(info))
else:
print(info['status'])
fids.append(result['data']['id'])
return fids
def archive_upload(afile, verbose):
attr = json.dumps({
"type": "inbox",
"id": mgrast_auth['id'],
"user": mgrast_auth['login'],
"email": mgrast_auth['email']
})
# get format
if afile.endswith(".tar.gz"):
aformat = "tar.gz"
elif afile.endswith(".tar.bz2"):
aformat = "tar.bz2"
elif afile.endswith(".tar"):
aformat = "tar"
elif afile.endswith(".zip"):
aformat = "zip"
else:
sys.stderr.write("ERROR: input file %s is incorrect archive format\n"%afile)
sys.exit(1)
# POST to shock / unpack
if verbose:
print("Uploading file %s to MG-RAST Shock"%(afile))
data = {
"file_name": os.path.basename(afile),
"attributes_str": attr
}
result = post_file(SHOCK_URL+"/node", "upload", afile, data=data, auth=mgrast_auth['token'], debug=verbose)
if verbose:
print(json.dumps(result['data']))
print("Unpacking archive file %s"%(afile))
data = {
"unpack_node": result['data']['id'],
"archive_format": aformat,
"attributes_str": attr
}
unpack = obj_from_url(SHOCK_URL+"/node", data=data, auth=mgrast_auth['token'], debug=verbose)
if verbose:
print(json.dumps(unpack['data']))
fids = map(lambda x: x['id'], unpack['data'])
return fids
def compute(action, files, retain, joinfile, rc_index):
if action == "sff2fastq":
data = {"sff_file": files[0]}
elif action == "demultiplex":
data = {
"seq_file": files[0],
"barcode_file": files[1],
"rc_index": 1 if rc_index else 0
}
if len(files) == 3:
data["index_file"] = files[2]
elif action == "pairjoin":
data = {
"pair_file_1": files[0],
"pair_file_2": files[1],
"retain": 1 if retain else 0
}
if joinfile:
data['output'] = joinfile
elif action == "pairjoin_demultiplex":
data = {
"pair_file_1": files[0],
"pair_file_2": files[1],
"index_file": files[2],
"barcode_file": files[3],
"retain": 1 if retain else 0,
"rc_index": 1 if rc_index else 0
}
else:
sys.stderr.write("ERROR: invalid compute action. use one of: %s\n" %
", ".join(compute_actions))
info = obj_from_url(API_URL + "/inbox/" + action,
data=json.dumps(data),
auth=mgrast_auth['token'],
debug=DEBUG)
print(info['status'])
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument(
"--ids",
dest="ids",
default=None,
help="comma seperated list or file of KBase Metagenome IDs")
parser.add_argument("--url",
dest="url",
default=API_URL,
help="communities API url")
parser.add_argument("--user",
dest="user",
default=None,
help="OAuth username")
parser.add_argument("--passwd",
dest="passwd",
default=None,
help="OAuth password")
parser.add_argument("--token",
dest="token",
default=None,
help="OAuth token")
parser.add_argument(
"--level",
dest="level",
default='level3',
help="functional level to retrieve abundances for, default is level3")
parser.add_argument(
"--source",
dest="source",
default='Subsystems',
help="function datasource to filter results by, default is Subsystems")
parser.add_argument("--filter_level",
dest="filter_level",
default=None,
help="function level to filter by")
parser.add_argument(
"--filter_name",
dest="filter_name",
default=None,
help="function name to filter by, file or comma seperated list")
parser.add_argument(
"--intersect_source",
dest="intersect_source",
default='SEED',
help="taxon datasource for insersection, default is SEED")
parser.add_argument("--intersect_level",
dest="intersect_level",
default=None,
help="taxon level for insersection")
parser.add_argument(
"--intersect_name",
dest="intersect_name",
default=None,
help="taxon name(s) for insersection, file or comma seperated list")
parser.add_argument(
"--output",
dest="output",
default='-',
help="output: filename or stdout (-), default is stdout")
parser.add_argument(
"--format",
dest="format",
default='biom',
help=
"output format: 'text' for tabbed table, 'biom' for BIOM format, default is biom"
)
parser.add_argument(
"--evalue",
type=int,
dest="evalue",
default=15,
help="negative exponent value for maximum e-value cutoff, default is 15"
)
parser.add_argument(
"--identity",
type=int,
dest="identity",
default=60,
help="percent value for minimum %% identity cutoff, default is 60")
parser.add_argument(
"--length",
type=int,
dest="length",
default=15,
help="value for minimum alignment length cutoff, default is 15")
parser.add_argument("--version",
type=int,
dest="version",
default=1,
help="M5NR annotation version to use, default is 1")
parser.add_argument(
"--temp",
dest="temp",
default=None,
help="filename to temporarly save biom output at each iteration")
# get inputs
opts = parser.parse_args()
if not opts.ids:
sys.stderr.write("ERROR: one or more ids required\n")
return 1
if (opts.filter_name and
(not opts.filter_level)) or ((not opts.filter_name)
and opts.filter_level):
sys.stderr.write(
"ERROR: both --filter_level and --filter_name need to be used together\n"
)
return 1
if (opts.intersect_name and
(not opts.intersect_level)) or ((not opts.intersect_name)
and opts.intersect_level):
sys.stderr.write(
"ERROR: both --intersect_level and --intersect_name need to be used together\n"
)
return 1
if opts.format not in ['text', 'biom']:
sys.stderr.write("ERROR: invalid input format\n")
return 1
# get auth
token = get_auth_token(opts)
# build url
id_list = []
if os.path.isfile(opts.ids):
id_str = open(opts.ids, 'r').read()
try:
id_obj = json.loads(id_str)
if 'elements' in id_obj:
id_list = id_obj['elements'].keys()
elif 'members' in id_obj:
id_list = map(lambda x: x['ID'], id_obj['members'])
except:
id_list = id_str.strip().split('\n')
else:
id_list = opts.ids.strip().split(',')
params = [('group_level', opts.level), ('source', opts.source),
('evalue', opts.evalue), ('identity', opts.identity),
('length', opts.length), ('version', opts.version),
('result_type', 'abundance'), ('asynchronous', '1')]
if opts.intersect_level and opts.intersect_name:
params.append(('filter_source', opts.intersect_source))
params.append(('filter_level', opts.intersect_level))
if os.path.isfile(opts.intersect_name):
with open(opts.intersect_name) as file_:
for f in file_:
params.append(('filter', f.strip()))
else:
for f in opts.intersect_name.strip().split(','):
params.append(('filter', f))
# retrieve data
biom = None
size = 50
if len(id_list) > size:
for i in xrange(0, len(id_list), size):
sub_ids = id_list[i:i + size]
cur_params = copy.deepcopy(params)
for i in sub_ids:
cur_params.append(('id', i))
cur_url = opts.url + '/matrix/function?' + urlencode(
cur_params, True)
cur_biom = async_rest_api(cur_url, auth=token)
biom = merge_biom(biom, cur_biom)
if opts.temp:
json.dump(biom, open(opts.temp, 'w'))
else:
for i in id_list:
params.append(('id', i))
url = opts.url + '/matrix/function?' + urlencode(params, True)
biom = async_rest_api(url, auth=token)
if opts.temp:
json.dump(biom, open(opts.temp, 'w'))
# get sub annotations
sub_ann = set()
if opts.filter_name and opts.filter_level:
# get input filter list
filter_list = []
if os.path.isfile(opts.filter_name):
with open(opts.filter_name) as file_:
for f in file_:
filter_list.append(f.strip())
else:
for f in opts.filter_name.strip().split(','):
filter_list.append(f)
# annotation mapping from m5nr
params = [('version', opts.version), ('min_level', opts.level),
('source', opts.source)]
url = opts.url + '/m5nr/ontology?' + urlencode(params, True)
data = obj_from_url(url)
level = 'level4' if opts.level == 'function' else opts.level
for ann in data['data']:
if (opts.filter_level
in ann) and (level in ann) and (ann[opts.filter_level]
in filter_list):
sub_ann.add(ann[level])
# output data
if (not opts.output) or (opts.output == '-'):
out_hdl = sys.stdout
else:
out_hdl = open(opts.output, 'w')
if opts.format == 'biom':
out_hdl.write(json.dumps(biom) + "\n")
else:
biom_to_tab(biom, out_hdl, rows=sub_ann)
out_hdl.close()
return 0
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp.format(VERSION, RO_VERSION),
epilog=posthelp % AUTH_LIST)
parser.add_argument("--url",
dest="url",
default=API_URL,
help="MG-RAST API url")
parser.add_argument("--user",
dest="user",
default=None,
help="OAuth username")
parser.add_argument("--passwd",
dest="passwd",
default=None,
help="OAuth password")
parser.add_argument("--token",
dest="token",
default=None,
help="OAuth token")
parser.add_argument("--metagenome",
dest="metagenome",
default=None,
help="metagenome ID")
parser.add_argument("--dir",
dest="dir",
default=".",
help="directory to export to")
parser.add_argument("--list",
dest="list",
action="store_true",
default=False,
help="list files in manifest")
# get inputs
opts = parser.parse_args()
if not opts.metagenome:
sys.stderr.write("ERROR: a metagenome id is required\n")
return 1
if not os.path.isdir(opts.dir):
sys.stderr.write("ERROR: dir '%s' does not exist\n" % opts.dir)
return 1
# get auth
token = get_auth_token(opts)
# get mg info
url = opts.url + '/metagenome/' + opts.metagenome
mg = obj_from_url(url, auth=token)
# get manifest
url = opts.url + '/researchobject/manifest/' + opts.metagenome
data = obj_from_url(url, auth=token)
# just list
if opts.list:
pt = PrettyTable(["File Name", "Folder", "Media Type"])
for info in data["aggregates"]:
pt.add_row([
info["bundledAs"]["filename"], info["bundledAs"]["folder"],
info["mediatype"]
])
pt.align = "l"
print(pt)
return 0
# get cwl files
temp_name = random_str(10)
pipeline_dir = os.path.join(opts.dir, temp_name)
git_clone = "git clone https://github.com/MG-RAST/pipeline.git " + pipeline_dir
os.system(git_clone)
# download manifest
sha1s = []
base = data["@context"][0]["@base"].strip('/')
manifest_dir = os.path.join(opts.dir, base)
os.mkdir(manifest_dir)
data_str = json.dumps(data)
open(os.path.join(manifest_dir, data["manifest"]), 'w').write(data_str)
sha1s.append([
hashlib.sha1(data_str).hexdigest(),
os.path.join(base, data["manifest"])
])
# download aggregates
for info in data["aggregates"]:
sys.stdout.write("Downloading %s ... " %
(info["bundledAs"]["filename"]))
folder = info["bundledAs"]["folder"].strip('/')
folder_dir = os.path.join(opts.dir, folder)
if not os.path.isdir(folder_dir):
os.mkdir(folder_dir)
if "githubusercontent" in info["uri"]:
pos = info["uri"].find("CWL")
src = os.path.join(pipeline_dir, info["uri"][pos:])
dst = os.path.join(folder_dir, info["bundledAs"]["filename"])
text = open(src, 'r').read().replace('../Inputs/', '').replace(
'../Tools/', '').replace('../Workflows/', '')
if dst.endswith('job.yaml'):
text = edit_input(text, mg)
open(dst, 'w').write(text)
sha1s.append([
hashlib.sha1(text).hexdigest(),
os.path.join(folder, info["bundledAs"]["filename"])
])
else:
fh = open(os.path.join(folder_dir, info["bundledAs"]["filename"]),
'w')
s1 = file_from_url(info["uri"], fh, auth=token, sha1=True)
fh.close()
sha1s.append(
[s1, os.path.join(folder, info["bundledAs"]["filename"])])
sys.stdout.write("Done\n")
# output sha1
mansha1 = open(os.path.join(opts.dir, "manifest-sha1.txt"), 'w')
tagsha1 = open(os.path.join(opts.dir, "tagmanifest-sha1.txt"), 'w')
sha1s.sort(key=lambda x: x[1])
for s1 in sha1s:
if s1[1].startswith('data'):
mansha1.write("%s\t%s\n" % (s1[0], s1[1]))
else:
tagsha1.write("%s\t%s\n" % (s1[0], s1[1]))
mansha1.close()
tagsha1.close()
# cleanup
shutil.rmtree(pipeline_dir)
return 0
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % (VERSION, search_opts),
epilog=posthelp % AUTH_LIST)
parser.add_argument("--url",
dest="url",
default=API_URL,
help="communities API url")
parser.add_argument("--user",
dest="user",
default=None,
help="OAuth username")
parser.add_argument("--passwd",
dest="passwd",
default=None,
help="OAuth password")
parser.add_argument("--token",
dest="token",
default=None,
help="OAuth token")
parser.add_argument(
"--limit",
dest="limit",
type=int,
default=15,
help=
"Number of results to show, if > 50 will use paginated queries to get all, default 15"
)
parser.add_argument(
"--order",
dest="order",
default=None,
help="field metagenomes are ordered by, default is no ordering")
parser.add_argument(
"--direction",
dest="direction",
default="asc",
help=
"direction of order. 'asc' for ascending order, 'desc' for descending order, default is asc"
)
parser.add_argument(
"--public",
dest="public",
action="store_true",
default=False,
help=
"return both private and pubulic data if using authenticated search, default is private only. Non-authenticated search only returns public."
)
parser.add_argument(
"--match",
dest="match",
default="all",
help=
"search logic. 'all' for metagenomes that match all search parameters, 'any' for metagenomes that match any search parameters, default is all"
)
parser.add_argument(
"--status",
dest="status",
default="public",
help=
"types of metagenomes to return. 'both' for all data (public and private), 'public' for public data, 'private' for users private data, default is public"
)
parser.add_argument(
"--verbosity",
dest="verbosity",
default='minimal',
help=
"amount of information to display. use keyword 'minimal' for id and name, use keyword 'full' for MIxS GSC metadata, default is minimal"
)
for sfield in SEARCH_FIELDS:
parser.add_argument("--" + sfield,
dest=sfield,
default=None,
help="search parameter: query string for " +
sfield)
# get inputs
opts = parser.parse_args()
# get auth
token = get_auth_token(opts)
# build call url
total = 0
maxLimit = 50
params = [('limit', opts.limit if opts.limit < maxLimit else maxLimit),
('public', 'yes' if opts.public or (not token) else 'no')]
for sfield in SEARCH_FIELDS:
if hasattr(opts, sfield) and getattr(opts, sfield):
params.append((sfield, getattr(opts, sfield)))
if opts.order:
params.append(('order', opts.order))
params.append(('direction', opts.direction))
url = opts.url + '/search?' + urlencode(params, True)
# retrieve data
fields = ['metagenome_id', 'public'] + SEARCH_FIELDS
result = obj_from_url(url, auth=token)
found = len(result['data'])
if found == 0:
sys.stdout.write("No results found for the given search parameters\n")
return 0
total += found
# output header
safe_print("\t".join(fields) + "\n")
# output rows
display_search(result['data'], fields)
while ('next' in result) and result['next'] and (total < opts.limit):
url = result['next']
result = obj_from_url(url, auth=token)
total += len(result['data'])
display_search(result['data'], fields)
return 0
def test_large_01():
URI = API_URL + '/matrix/organism?group_level=phylum&source=RDP&hit_type=single&result_type=abundance&evalue=1&identity=60&length=15&taxid=0&id=mgm4510219.3'
obj = obj_from_url(URI)
o = open("5.txt", "w")
o.write(str(obj))
def test_matrix_04():
URI = API_URL + '/matrix/organism?id=mgm4440284.3&group_level=phylum&source=RDP&hit_type=single&result_type=abundance&evalue=1&identity=60&length=15&taxid=0'
obj = obj_from_url(URI)
o = open("4.txt", "w")
o.write(str(obj))
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument("--url",
dest="url",
default=API_URL,
help="communities API url")
parser.add_argument("--rlib", dest="rlib", default=None, help="R lib path")
parser.add_argument("--input",
dest="input",
default='-',
help="input: filename or stdin (-), default is stdin")
parser.add_argument(
"--output",
dest="output",
default='-',
help="output: filename or stdout (-), default is stdout")
parser.add_argument(
"--outdir",
dest="outdir",
default=None,
help=
"ouput is placed in dir as filenmae.obj, fielname.type, only for 'biom' input"
)
parser.add_argument(
"--format",
dest="format",
default='biom',
help=
"input / output format: 'text' for tabbed table, 'biom' for BIOM format, default is biom"
)
# get inputs
opts = parser.parse_args()
if (opts.input != '-') and (not os.path.isfile(opts.input)):
sys.stderr.write("ERROR: input data missing\n")
return 1
if opts.format not in ['text', 'biom']:
sys.stderr.write("ERROR: invalid format\n")
return 1
if (not opts.rlib) and ('KB_PERL_PATH' in os.environ):
opts.rlib = os.environ['KB_PERL_PATH']
# parse inputs
biom = None
rows = []
cols = []
data = []
maxval = 0
tmp_in = 'tmp_' + random_str() + '.txt'
tmp_hdl = open(tmp_in, 'w')
try:
indata = sys.stdin.read() if opts.input == '-' else open(
opts.input, 'r').read()
if opts.format == 'biom':
try:
biom = json.loads(indata)
if opts.rlib:
maxval = biom_to_tab(biom, tmp_hdl)
else:
rows, cols, data = biom_to_matrix(biom)
except:
sys.stderr.write("ERROR: input BIOM data not correct format\n")
return 1
else:
rows, cols, data = tab_to_matrix(indata)
data = map(lambda x: map(float, x), data) # floatify it
if opts.rlib:
tmp_hdl.write(indata)
except:
sys.stderr.write("ERROR: unable to load input data\n")
return 1
finally:
tmp_hdl.close()
# check values to see if already normalized, otherwise R fails badly
data = list(data)
if len(data) > 0:
maxval = max(map(max, data))
if maxval <= 1:
os.remove(tmp_in)
sys.stderr.write("ERROR: data is already normalized.\n")
return 1
# retrieve data
norm = None
if opts.rlib:
tmp_out = 'tmp_' + random_str() + '.txt'
r_cmd = """source("%s/preprocessing.r")
suppressMessages( MGRAST_preprocessing(
file_in="%s",
file_out="%s"
))""" % (opts.rlib, tmp_in, tmp_out)
execute_r(r_cmd)
nrows, ncols, ndata = tab_to_matrix(open(tmp_out, 'r').read())
num_data = map(lambda x: map(float, x), ndata)
norm = {"columns": ncols, "rows": nrows, "data": num_data}
os.remove(tmp_out)
else:
post = {"columns": cols, "rows": rows, "data": data}
norm = obj_from_url(opts.url + '/compute/normalize',
data=json.dumps(post, separators=(',', ':')))
# output data
os.remove(tmp_in)
if (not opts.output) or (opts.output == '-'):
out_hdl = sys.stdout
else:
out_hdl = open(opts.output, 'w')
if biom and (opts.format == 'biom'):
# may have rows removed
new_rows = []
for r in biom['rows']:
if r['id'] in norm['rows']:
new_rows.append(r)
biom['rows'] = new_rows
biom['data'] = norm['data']
biom['shape'][0] = len(biom['rows'])
biom['id'] = biom['id'] + '_normalized'
biom['matrix_type'] = 'dense'
biom['matrix_element_type'] = 'float'
matrix_type = None
if biom['type'].startswith('Taxon'):
matrix_type = "Communities.TaxonomicMatrix"
elif biom['type'].startswith('Function'):
matrix_type = "Communities.FunctionalMatrix"
if opts.outdir and matrix_type:
if not os.path.isdir(opts.outdir):
os.mkdir(opts.outdir)
ohdl = open(os.path.join(opts.outdir, opts.output + '.obj'), 'w')
thdl = open(os.path.join(opts.outdir, opts.output + '.type'), 'w')
ohdl.write(json.dumps(biom) + "\n")
thdl.write(matrix_type)
ohdl.close()
thdl.close()
else:
out_hdl.write(json.dumps(biom) + "\n")
else:
out_hdl.write("\t%s\n" % "\t".join(norm['columns']))
for i, d in enumerate(norm['data']):
out_hdl.write("%s\t%s\n" %
(norm['rows'][i], "\t".join(map(str, d))))
out_hdl.close()
if os.stat(opts.output).st_size == 0:
os.remove(opts.output)
return 0
def main(args):
global API_URL
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
# access options
parser.add_argument("-u",
"--url",
dest="url",
default=API_URL,
help="MG-RAST API url")
parser.add_argument("-t",
"--token",
dest="token",
default=None,
help="MG-RAST token")
# other options
parser.add_argument("-f",
"--file",
dest="mdfile",
default=None,
help="metadata .xlsx file")
parser.add_argument(
"--taxa",
dest="taxa",
default=None,
help=
"metagenome_taxonomy for project: http://www.ebi.ac.uk/ena/data/view/Taxon:408169"
)
parser.add_argument("--debug",
dest="debug",
action="store_true",
default=False,
help="Run in debug mode")
parser.add_argument("-v",
"--verbose",
dest="verbose",
action="store_true",
default=False,
help="Verbose STDOUT")
parser.add_argument("args",
type=str,
nargs="+",
help="Action (" + ",".join(valid_actions) + ")")
# get inputs
opts = parser.parse_args()
args = opts.args
API_URL = opts.url
# validate inputs
if len(args) < 1:
sys.stderr.write("ERROR: missing action\n")
return 1
action = args[0]
if action not in valid_actions:
sys.stderr.write("ERROR: invalid action. use one of: %s\n" %
", ".join(valid_actions))
return 1
if len(args) < 2:
sys.stderr.write("ERROR: missing Project ID\n")
return 1
pid = args[1]
DEBUG = opts.verbose + opts.debug
# get token
token = get_auth_token(opts)
if not token:
token = input('Enter your MG-RAST auth token: ')
# actions
if action == "get-info":
data = obj_from_url(opts.url + '/project/' + pid +
'?verbosity=verbose&nocache=1',
auth=token)
print(json.dumps(data, sort_keys=True, indent=4))
elif action == "get-metadata":
data = obj_from_url(opts.url + '/metadata/export/' + pid, auth=token)
print(json.dumps(data, sort_keys=True, indent=4))
elif action == "update-metadata":
result = post_file(opts.url + '/metadata/update',
'upload',
opts.mdfile,
auth=token,
data=json.dumps({'project': pid},
separators=(',', ':')),
debug=DEBUG)
print(json.dumps(data, sort_keys=True, indent=4))
elif action == "make-public":
data = obj_from_url(opts.url + '/project/' + pid + '/makepublic',
auth=token)
print(json.dumps(data, sort_keys=True, indent=4))
elif action == "submit-ebi":
debug = 1 if opts.debug else 0
info = {'project_id': pid, 'debug': debug}
if opts.taxa:
info['project_taxonomy'] = opts.taxa
data = obj_from_url(opts.url + '/submission/ebi',
auth=token,
data=json.dumps(info, separators=(',', ':')))
print(json.dumps(data, sort_keys=True, indent=4))
elif action == "status-ebi":
data = obj_from_url(opts.url + '/submission/' + pid, auth=token)
print(json.dumps(data, sort_keys=True, indent=4))
return 0
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument("--project",
dest="project",
default=None,
help="project ID")
# get inputs
opts = parser.parse_args()
if not opts.project or opts.project[0:3] != "mgp":
sys.stderr.write("ERROR: a project id is required\n")
return 1
# get auth
PROJECT = opts.project
TOKEN = get_auth_token(opts)
# export metadata
outfile = PROJECT + "-export.xlsx"
#
k = obj_from_url(
"http://api.mg-rast.org/metadata/export/{project}?verbosity=full".
format(project=PROJECT),
auth=TOKEN)
metadata = k # json.loads(open(infile).read())
workbook = xlsxwriter.Workbook(outfile)
print("Creating", outfile)
worksheet = {}
worksheet["README"] = workbook.add_worksheet("README")
row = 0
for i in range(10):
worksheet["README"].write_number(row, 0, i)
row += 1
worksheet["project"] = workbook.add_worksheet("project")
project_keys = get_project_keys(metadata)
col = 0
for l in project_keys:
value = metadata["data"][l]["value"]
definition = metadata["data"][l]["definition"]
worksheet["project"].write_string(0, col, l)
worksheet["project"].write_string(1, col, definition)
worksheet["project"].write_string(2, col, value)
col += 1
worksheet["sample"] = workbook.add_worksheet("sample")
samplekeys = get_sample_keys(metadata)
col = 0
row = 2
for sample in metadata["samples"]:
for l in samplekeys:
if l in sample["data"].keys():
value = sample["data"][l]["value"]
definition = sample["data"][l]["definition"]
fmt = sample["data"][l]["type"]
worksheet["sample"].write_string(0, col, l)
worksheet["sample"].write_string(1, col, definition)
write_worksheet_value(worksheet["sample"], row, col, value,
fmt)
col += 1
col = 0
row += 1
try:
librarytype = metadata["samples"][0]["libraries"][0]["data"][
"investigation_type"]["value"]
except IndexError:
sys.exit("This metadata bundle does not have any libraries")
worksheet["library"] = workbook.add_worksheet("library " + librarytype)
libkeys = get_library_keys(metadata)
col = 0
row = 2
for sample in metadata["samples"]:
for l in libkeys:
if l in sample["libraries"][0]["data"].keys():
value = sample["libraries"][0]["data"][l]["value"]
definition = sample["libraries"][0]["data"][l]["definition"]
fmt = sample["libraries"][0]["data"][l]["type"]
worksheet["library"].write_string(0, col, l)
worksheet["library"].write_string(1, col, definition)
write_worksheet_value(worksheet["library"], row, col, value,
fmt)
col += 1
col = 0
row += 1
eps = get_eps(metadata)
print("eps", " ".join(eps))
epcol = {}
eprow = {}
for ep in eps:
worksheet[ep] = workbook.add_worksheet("ep " + ep)
epcol[ep] = 0
eprow[ep] = 2
epkeys = get_ep_keys(metadata, eps)
for sample in metadata["samples"]:
ep = sample["envPackage"]["type"]
for l in epkeys[ep]:
try:
value = sample["envPackage"]["data"][l]["value"]
definition = sample["envPackage"]["data"][l]["definition"]
fmt = sample["envPackage"]["data"][l]["type"]
except KeyError:
value = ""
definition = ""
fmt = "string"
worksheet[ep].write_string(0, epcol[ep], l)
worksheet[ep].write_string(1, epcol[ep], definition)
write_worksheet_value(worksheet[ep], eprow[ep], epcol[ep], value,
fmt)
epcol[ep] += 1
epcol[ep] = 0
eprow[ep] += 1
workbook.close()
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument("--url",
dest="url",
default=API_URL,
help="communities API url")
parser.add_argument("--input",
dest="input",
default='-',
help="input: filename or stdin (-), default is stdin")
parser.add_argument(
"--output",
dest="output",
default='-',
help="output: filename or stdout (-), default is stdout")
parser.add_argument(
"--format",
dest="format",
default='biom',
help=
"input format: 'text' for tabbed table, 'biom' for BIOM format, default is biom"
)
parser.add_argument(
"--cluster",
dest="cluster",
default='ward',
help=
"cluster function, one of: ward, single, complete, mcquitty, median, centroid, default is ward"
)
parser.add_argument(
"--distance",
dest="distance",
default='bray-curtis',
help=
"distance function, one of: bray-curtis, euclidean, maximum, manhattan, canberra, minkowski, difference, default is bray-curtis"
)
parser.add_argument(
"--name",
dest="name",
type=int,
default=0,
help="label columns by name, default is by id: 1=true, 0=false")
parser.add_argument(
"--normalize",
dest="normalize",
type=int,
default=0,
help="normalize the input data, default is off: 1=true, 0=false")
# get inputs
opts = parser.parse_args()
if (opts.input != '-') and (not os.path.isfile(opts.input)):
sys.stderr.write("ERROR: input data missing\n")
return 1
if opts.format not in ['text', 'biom']:
sys.stderr.write("ERROR: invalid input format\n")
return 1
# parse inputs
rows = []
cols = []
data = []
try:
indata = sys.stdin.read() if opts.input == '-' else open(
opts.input, 'r').read()
if opts.format == 'biom':
try:
biom = json.loads(indata)
rows, cols, data = biom_to_matrix(biom, col_name=opts.name)
except:
sys.stderr.write("ERROR: input BIOM data not correct format\n")
return 1
else:
rows, cols, data = tab_to_matrix(indata)
except:
sys.stderr.write("ERROR: unable to load input data\n")
return 1
# retrieve data
raw = '0' if opts.normalize else '1'
post = {
"raw": raw,
"cluster": opts.cluster,
"distance": opts.distance,
"columns": cols,
"rows": rows,
"data": data
}
hmap = obj_from_url(opts.url + '/compute/heatmap',
data=json.dumps(post, separators=(',', ':')))
# output data
if (not opts.output) or (opts.output == '-'):
out_hdl = sys.stdout
else:
out_hdl = open(opts.output, 'w')
out_hdl.write(json.dumps(hmap, separators=(', ', ': '), indent=4) + "\n")
out_hdl.close()
return 0
def submit(stype, files, opts):
fids = []
# post files to shock
if stype == 'batch':
fids = archive_upload(files[0], opts.verbose)
else:
fids = upload(files, opts.verbose)
# set POST data
data = {}
if opts.debug:
data['debug'] = 1
if opts.barcode:
bids = upload([opts.barcode], opts.verbose)
data['barcode_file'] = bids[0]
if opts.metadata:
mids = upload([opts.metadata], opts.verbose)
data['metadata_file'] = mids[0]
elif opts.project_id:
data['project_id'] = opts.project_id
elif opts.project_name:
data['project_name'] = opts.project_name
# figure out type
if (stype == 'simple') or (stype == 'batch'):
data['seq_files'] = fids
elif stype == 'demultiplex':
data['multiplex_file'] = fids[0]
data['rc_index'] = 1 if opts.rc_index else 0
if len(fids) == 3:
data["index_file"] = fids[2]
elif stype == 'pairjoin':
data['pair_file_1'] = fids[0]
data['pair_file_2'] = fids[1]
data['retain'] = 1 if opts.retain else 0
if opts.mgname:
data['mg_name'] = opts.mgname
elif stype == 'pairjoin_demultiplex':
data['pair_file_1'] = fids[0]
data['pair_file_2'] = fids[1]
data['index_file'] = fids[2]
data['retain'] = 1 if opts.retain else 0
data['rc_index'] = 1 if opts.rc_index else 0
# set pipeline flags - assembeled is special case
if opts.assembled:
data['assembled'] = 1
data['filter_ln'] = 0
data['filter_ambig'] = 0
data['dynamic_trim'] = 0
data['dereplicate'] = 0
data['bowtie'] = 0
else:
data['assembled'] = 0
data['filter_ln'] = 0 if opts.no_filter_ln else 1
data['filter_ambig'] = 0 if opts.no_filter_ambig else 1
data['dynamic_trim'] = 0 if opts.no_dynamic_trim else 1
data['dereplicate'] = 0 if opts.no_dereplicate else 1
data['bowtie'] = 0 if opts.no_bowtie else 1
# set pipeline options
data['filter_ln_mult'] = opts.filter_ln_mult
data['max_ambig'] = opts.max_ambig
data['max_lqb'] = opts.max_lqb
data['min_qual'] = opts.min_qual
if opts.screen_indexes:
data['screen_indexes'] = opts.screen_indexes
if opts.priority:
data['priority'] = opts.priority
# submit it
if opts.verbose:
print("Submitting to MG-RAST with the following parameters:")
print(json.dumps(data, sort_keys=True, indent=4))
result = obj_from_url(API_URL+"/submission/submit", data=json.dumps(data), auth=mgrast_auth['token'])
if opts.verbose and (not opts.debug):
print(json.dumps(result))
if opts.debug:
pprint.pprint(result)
elif opts.synch or opts.json_out:
print("Project ID: "+result['project'])
print("Submission ID: "+result['id'])
wait_on_complete(result['id'], opts.json_out)
else:
print("Project ID: "+result['project'])
print("Submission ID: "+result['id'])
status(result['id'])
def delete(sid):
data = obj_from_url(API_URL+"/submission/"+sid, auth=mgrast_auth['token'], method='DELETE')
print(data['status'])
def wait_on_complete(sid, json_out):
listed_mgs = set()
incomplete = True
data = None
total_mg = 0
while incomplete:
time.sleep(synch_pause)
data = obj_from_url(API_URL+"/submission/"+sid, auth=mgrast_auth['token'])
# check for global errors
if isinstance(data['status'], str):
sys.stderr.write("ERROR: %s\n"%data['status'])
sys.exit(1)
# check for submission errors
for task in data['status']['preprocessing']:
if task['status'] == "suspend":
sys.stderr.write("ERROR: %s\n"%task['error'])
sys.exit(1)
# check for metagenomes
total_mg = len(data['status']['metagenomes'])
done_mg = 0
error_mg = 0
if total_mg > 0:
for mg in data['status']['metagenomes']:
if mg['id'] not in listed_mgs:
print("metagenome analysis started: "+mg['id'])
listed_mgs.add(mg['id'])
if mg['status'] == "completed":
done_mg += 1
elif mg['status'] == "suspend":
error_mg += 1
if total_mg == (done_mg + error_mg):
incomplete = False
# display completed
if json_out:
mgs = []
jhdl = open(json_out, 'w')
for mg in data['status']['metagenomes']:
if mg['status'] == "completed":
print("metagenome analysis completed: "+mg['id'])
mgdata = obj_from_url(API_URL+"/metagenome/"+mg['id']+"?verbosity=full", auth=mgrast_auth['token'])
mgs.append(mgdata)
elif mg['status'] == "suspend":
print("metagenome analysis failed: "+mg['id'])
if "error" in mg:
print("[error] "+mg['error'])
if len(mgs) == 1:
# output single dict
json.dump(mgs[0], jhdl)
elif len(mgs) > 1:
# output list of dicts
json.dump(mgs, jhdl)
else:
# error here
sys.stderr.write("ERROR: no metagenome(s) produced in submission %s\n"%sid)
sys.exit(1)
jhdl.close()
else:
pt_mg = PrettyTable(["metagenome ID", "metagenome name", "total status", "submit time"])
for mg in data['status']['metagenomes']:
pt_mg.add_row([mg['id'], mg['name'], mg['status'], mg['timestamp']])
pt_mg.align = "l"
print(pt_mg)
def main(args):
ArgumentParser.format_description = lambda self, formatter: self.description
ArgumentParser.format_epilog = lambda self, formatter: self.epilog
parser = ArgumentParser(usage='',
description=prehelp % VERSION,
epilog=posthelp % AUTH_LIST)
parser.add_argument("--id",
dest="id",
default=None,
help="KBase Metagenome ID")
parser.add_argument("--url",
dest="url",
default=API_URL,
help="communities API url")
parser.add_argument("--user",
dest="user",
default=None,
help="OAuth username")
parser.add_argument("--passwd",
dest="passwd",
default=None,
help="OAuth password")
parser.add_argument("--token",
dest="token",
default=None,
help="OAuth token")
parser.add_argument(
"--plot",
dest="plot",
action="store_true",
default=False,
help=
"display plot in ASCII art instead of table of numbers for: bp_profile, drisee, kmer, rarefaction, or taxa level"
)
parser.add_argument(
"--stat",
dest="stat",
default='sequence',
help=
"type of stat to display, use keyword: 'sequence', 'bp_profile', 'drisee', 'kmer', 'rarefaction', or taxa level name, default is sequence"
)
# get inputs
opts = parser.parse_args()
if not opts.id:
sys.stderr.write("ERROR: id required\n")
return 1
# get auth
token = get_auth_token(opts)
# build call url
url = opts.url + '/metagenome/' + opts.id + '?verbosity=stats&public=1'
# retrieve / output data
result = obj_from_url(url, auth=token)
stats = result['statistics']
if opts.stat == 'sequence':
for s in sorted(stats['sequence_stats'].keys()):
safe_print("%s\t%s\n" % (s, stats['sequence_stats'][s]))
elif opts.stat == 'bp_profile':
if not stats['qc']['bp_profile']['percents']['data']:
sys.stderr.write("ERROR: %s has no bp_profile statistics\n" %
opts.id)
return 1
if opts.plot:
cols = stats['qc']['bp_profile']['percents']['columns'][1:5]
data = map(lambda x: x[1:5],
stats['qc']['bp_profile']['percents']['data'])
plot_histo(cols, data, 20, 80)
else:
safe_print(
"\t".join(stats['qc']['bp_profile']['percents']['columns']) +
"\n")
for d in stats['qc']['bp_profile']['percents']['data']:
safe_print("\t".join(map(str, d)) + "\n")
elif opts.stat == 'drisee':
if not stats['qc']['drisee']['percents']['data']:
sys.stderr.write("ERROR: %s has no drisee statistics\n" % opts.id)
return 1
if opts.plot:
x, y = [], []
for d in stats['qc']['drisee']['percents']['data']:
x.append(d[0])
y.append(d[7])
aplotter.plot(x,
y,
output=sys.stdout,
draw_axes=True,
plot_slope=True,
min_x=0,
min_y=0)
else:
safe_print(
"\t".join(stats['qc']['drisee']['percents']['columns']) + "\n")
for d in stats['qc']['drisee']['percents']['data']:
safe_print("\t".join(map(str, d)) + "\n")
elif opts.stat == 'kmer':
if not stats['qc']['kmer']['15_mer']['data']:
sys.stderr.write("ERROR: %s has no kmer statistics\n" % opts.id)
return 1
if opts.plot:
x, y = [], []
for d in stats['qc']['kmer']['15_mer']['data']:
x.append(math.log(d[3], 10))
y.append(math.log(d[0], 10))
aplotter.plot(x,
y,
output=sys.stdout,
draw_axes=True,
plot_slope=True,
min_x=0,
min_y=0)
else:
safe_print("\t".join(stats['qc']['kmer']['15_mer']['columns']) +
"\n")
for d in stats['qc']['kmer']['15_mer']['data']:
safe_print("\t".join(map(str, d)) + "\n")
elif opts.stat == 'rarefaction':
if not stats['rarefaction']:
sys.stderr.write("ERROR: %s has no rarefaction statistics\n" %
opts.id)
return 1
if opts.plot:
x, y = [], []
for r in stats['rarefaction']:
x.append(int(r[0]))
y.append(float(r[1]))
aplotter.plot(x,
y,
output=sys.stdout,
draw_axes=True,
plot_slope=True,
min_x=0,
min_y=0)
else:
safe_print("x\ty\n")
for r in stats['rarefaction']:
safe_print("%s\t%s\n" % (str(r[0]), str(r[1])))
elif opts.stat in stats['taxonomy']:
ranked = sorted(stats['taxonomy'][opts.stat],
key=lambda x: (-int(x[1]), x[0]))
if opts.plot:
top = map(lambda x: int(x[1]), ranked)[:50]
aplotter.plot(top,
output=sys.stdout,
draw_axes=True,
plot_slope=False,
min_x=0,
min_y=0)
else:
for t in ranked:
safe_print("%s\t%s\n" % (t[0], str(t[1])))
else:
sys.stderr.write("ERROR: invalid stat type\n")
return 1
return 0
