def finish_raxml_data(step_obj):
output_f = step_obj.step_file('output.zip')
if not os.path.isfile(output_f):
raise ZCItoolsValueError('No calculation output file output.zip!')
# Check are all file RAxML outputs, in same directories as files to process and
# filenames matches RAxML_.*\.raxml_output
dirs = set(
os.path.dirname(d['filename'])
for d in read_yaml(step_obj.step_file('finish.yml')))
for z_file in list_zip_files(output_f):
parts = z_file.split('/') # ZipFile uses '/' as separator
_dir = '' if len(parts) == 1 else os.sep.join(parts[:-1])
if _dir not in dirs:
raise ZCItoolsValueError(
f'Output contains file(s) in not step directory ({_dir})!')
if not _re_raxml_output.search(
parts[-1]) and parts[-1] != 'run_info.txt':
raise ZCItoolsValueError(
f'Not RAxML output file(s)found in the output ({parts[-1]})!')
# Unzip data
unzip_file(output_f, step_obj.directory)
step_obj._check_data()
step_obj.save(create=False)
def finish_mr_bayes_data(step_obj):
output_f = step_obj.step_file('output.zip')
if not os.path.isfile(output_f):
raise ZCItoolsValueError('No calculation output file output.zip!')
allowed_files = set(_RESULT_PREFIX + ext
for ext in ('.ckp', '.con.tre', '.parts', '.run1.p',
'.run1.t', '.run2.p', '.run2.t', '.tstat',
'.vstat'))
# Check are all file MrBayes outputs
dirs = set(
os.path.dirname(d['filename'])
for d in read_yaml(step_obj.step_file('finish.yml')))
for z_file in list_zip_files(output_f):
parts = z_file.split('/') # ZipFile uses '/' as separator
_dir = '' if len(parts) == 1 else os.sep.join(parts[:-1])
if _dir not in dirs:
raise ZCItoolsValueError(
f'Output contains file(s) in not step directory ({_dir})!')
if parts[-1] not in allowed_files and parts[-1] != 'run_info.txt':
raise ZCItoolsValueError(
f'Not MrBayes output file(s)found in the output ({parts[-1]})!'
)
# Unzip data
unzip_file(output_f, step_obj.directory)
step_obj._check_data()
step_obj.save(create=False)
def run(self, step_data):
a = self.args
if not os.path.isdir(a.step_directory):
raise ZCItoolsValueError(
f"Step directory {a.step_directory} is not an directory!")
if not (desc_data := read_yaml(
os.path.join(a.step_directory, 'description.yml'))):
raise ZCItoolsValueError(
f"Directory {a.step_directory} is not an step!")
def find_referent_genome(seq_idents, referent_seq_ident):
if referent_seq_ident in seq_idents:
return referent_seq_ident
refs = [
seq_ident for seq_ident in seq_idents
if seq_ident.startswith(referent_seq_ident)
]
if not refs:
raise ZCItoolsValueError(
f'No referent genome which name starts with {referent_seq_ident}!')
elif len(refs) > 1:
raise ZCItoolsValueError(
f'More genomes which name starts with {referent_seq_ident}!')
return refs[0]
def _check_columns(columns):
if not isinstance(columns, (tuple, list)):
raise ZCItoolsValueError(
f"Column specification is not a list or tuple ({type(columns)})!")
wrong_columns = [
d for d in columns if not isinstance(d, (tuple, list)) or len(d) != 2
]
if wrong_columns:
raise ZCItoolsValueError(
f"Error in columns specification: {wrong_columns}")
#
wrong_types = [(n, ct) for n, ct in columns if ct not in KNOWN_DATA_TYPES]
if wrong_types:
raise ZCItoolsValueError(
f"Unsupported column type(s) for: {wrong_types}")
def orient_chloroplast_parts_by_data(seq_rec,
orientation,
starts=None,
partition=None):
if not partition:
if starts:
partition = create_chloroplast_partition_all(
len(seq_rec.seq), starts)
else:
raise ZCItoolsValueError(
f'No partition data to orient chloroplast parts for sequence {seq_rec.name}!'
)
parts = partition.extract(seq_rec) # dict name -> Seq object
if 'lsc' in orientation: # LSC
parts['lsc'] = parts['lsc'].reverse_complement()
if 'ssc' in orientation: # SSC
parts['ssc'] = parts['ssc'].reverse_complement()
if 'ira' in orientation: # IRs
parts['ira'], parts['irb'] = parts['irb'].reverse_complement(
), parts['ira'].reverse_complement()
new_seq = parts['lsc'] + parts['ira'] + parts['ssc'] + parts['irb']
assert len(seq_rec.seq) == len(new_seq.seq), \
(seq_rec.name, len(seq_rec.seq), len(new_seq.seq), starts,
[(n, len(p)) for n, p in parts.items()],
[(n, len(p)) for n, p in partition.extract(seq_rec).items()])
return new_seq
def _fetch_complete_chloroplasts(organisms, args, max_taxid):
from ...utils.entrez import Entrez
ts = ' OR '.join(f'"{t}"[Organism]' for t in organisms)
titles = ['chloroplast']
if args.fetch_plastids:
titles.append('plastid')
#
rows = []
for title in titles:
data = Entrez().search_summary(
'nucleotide',
term=
f'({ts}) AND ("complete genome"[Title] AND {title}[Title]) AND refseq'
)
assert isinstance(data, list), type(data)
if args.max_update_date:
max_d = date(*map(int, args.max_update_date.split('-')))
data = [d for d in data if _to_date(d['UpdateDate']) <= max_d]
rows.extend(data)
ncbi_taxonomy = get_ncbi_taxonomy()
parents = ncbi_taxonomy._nt().get_lineage_translator(
[int(r['TaxId']) for r in rows])
if not_in := [r for r in rows if int(r['TaxId']) not in parents]:
if args.check_taxids:
raise ZCItoolsValueError(
f"Fetch cpDNA genomes. Taxid not known!!! {not_in}")
prev_len = len(rows)
rows = [r for r in rows if r not in not_in]
print(
f'Removed sequences with problematic taxids: {prev_len - len(rows)}!'
)
def actions(self):
# Returns list of WfAction objects
actions = []
for x in self._actions():
assert 2 <= len(x) <= 3, x
sn, cmd = x[:2]
a_prev = [] if len(x) == 2 else (
[x[2]] if isinstance(x[2], str) else x[2])
actions.append(
(sn, (cmd.split() if isinstance(cmd, str) else cmd), a_prev))
# actions.append((sn, (shlex.split(cmd) if isinstance(cmd, str) else cmd), a_prev))
assert all(isinstance(cmd, (list, tuple))
for _, cmd, _ in actions), actions
assert all(
isinstance(prevs, (list, tuple))
for _, _, prevs in actions), actions
# Check commands
commands_map = self.project.commands_map
if (not_in :=
[cmd[0] for _, cmd, _ in actions if cmd[0] not in commands_map]):
raise ZCItoolsValueError(
f"Worflow actions, not existing command(s)! {', '.join(sorted(not_in))}"
)
def register_workflows(self, workflow_classes):
for w_cls in workflow_classes:
wf = w_cls._WORKFLOW
if wf in self.workflows_map:
raise ZCItoolsValueError(
f"Workflow {wf} already registerd ({self.workflows_map[wf].__class__.__name__})!"
)
self.workflows_map[wf] = w_cls
def register_commands(self, command_classes):
for command_cls in command_classes:
cmd = command_cls._COMMAND
if cmd in self.commands_map:
raise ZCItoolsValueError(
f"Command {cmd} already registerd ({self.commands_map[cmd].__class__.__name__})!"
)
self.commands_map[cmd] = command_cls
def _check_rows(columns, rows):
n_cols = len(columns)
diff_lengts = [(i, len(row)) for i, row in enumerate(rows)
if len(row) != n_cols]
if diff_lengts:
raise ZCItoolsValueError(
f"Rows have different length than specified columns {n_cols}: {diff_lengts}"
)
def run(self, step_data):
from .common_methods import create_alignment_data
align_params = [a.lower() for a in self.args.alignments]
sup = set(a for a, _ in self._ALIGNMENTS)
if not_sup_params := [a for a in align_params if a not in sup]:
raise ZCItoolsValueError(
f'No valid alignments set ({", ".join(sorted(not_sup_params))}).'
)
def register_steps(self, step_classes):
for step_cls in step_classes:
s_type = step_cls._STEP_TYPE
if s_type in self.steps_map:
raise ZCItoolsValueError(
f"Step {s_type} already registerd ({self.steps_map[s_type].__class__.__name__})!"
)
self.steps_map[s_type] = step_cls
def choose_first_column(self, *columns, error=False):
for c in columns:
if self.has_column(c):
return c
if error:
raise ZCItoolsValueError(
f'No column found from: {columns}.\nExisting columns: {[c for c, _ in self._columns]}'
)
def create_irs_data(step_data, annotation_step, params):
SeqIO = import_bio_seq_io()
seq_idents = annotation_step.all_sequences() # set
ref_ident = find_referent_genome(seq_idents, params.referent_genome)
step = annotation_step.project.new_step(ChloroplastSSCBlast, step_data)
ref_seq_rec = annotation_step.get_sequence_record(ref_ident)
ssc_location = step.get_type_description_elem('ssc_location',
default=dict())
ensure_directory(step.step_file('run_dir'))
# Store query data
query_file = step.step_file('run_dir', 'query.fa')
if not os.path.isfile(query_file):
irs = find_chloroplast_irs(ref_seq_rec)
if not irs:
raise ZCItoolsValueError(
f"Referent genome ({ref_ident}) doesn't have IRS!")
write_fasta(query_file,
[('ira', str(irs[0].extract(ref_seq_rec).seq))])
files_to_zip = [query_file]
calc_seq_idents = []
# All sequences, to create database from
for seq_ident in sorted(seq_idents):
if not os.path.isfile(step.step_file('run_dir', f'{seq_ident}.xml')):
fa_file = step.step_file('run_dir', f'{seq_ident}.fa')
files_to_zip.append(fa_file)
calc_seq_idents.append(seq_ident)
if not os.path.isfile(fa_file):
seq_rec = annotation_step.get_sequence_record(seq_ident)
SeqIO.write([seq_rec], fa_file, 'fasta')
# Store SSC position
irs = find_chloroplast_irs(seq_rec)
ssc_location[seq_ident] = [len(seq_rec), int(irs[0].location.end), irb_start(irs[1])] \
if irs else [len(seq_rec), -1, -1]
if calc_seq_idents:
# Store finish.yml
finish_f = step.step_file('finish.yml')
write_yaml(dict(calc_seq_idents=calc_seq_idents), finish_f)
run = True # ToDo: ...
step.save(dict(ssc_location=ssc_location), completed=False)
if run:
run_module_script(run_irs_blast, step)
finish_irs_data(step)
else:
files_to_zip.append(finish_f)
set_run_instructions(run_irs_blast, step, files_to_zip,
_instructions)
#
elif params.force_blast_parse:
finish_irs_data(step)
return step
def run(self, step_data):
from .mvista import create_mvista_data
from common_utils.file_utils import get_settings
email = self.args.email or get_settings()['email']
if self.args.run and not email:
raise ZCItoolsValueError(
'Email address is needed to post mVISTA data!')
return create_mvista_data(step_data, self._input_step(), self.args.run,
email)
def run(self, step_data):
from .ogdraw import create_ogdraw
img_f = self.args.image_format.lower()
if img_f not in self._IMAGE_FORMATS:
raise ZCItoolsValueError(f'Given format {img_f} is not supported!')
return create_ogdraw(step_data,
img_f,
self._input_step(),
self.get_common_db_object(),
sequences=self.args.sequences)
def create_table_step(project, step_data, params):
if not os.path.isfile(params.filename):
raise ZCItoolsValueError(f"Table file {params.filename} doesn't exist.")
# Find how to read data
data_format = params.data_format
if data_format is None:
data_format = filetype_from_ext(params.filename)
if not data_format:
raise ZCItoolsValueError(f"Data format for input table is not specified or found! Filename {params.filename}.")
columns = [x.split(',') for x in params.columns.split(':')] if params.columns else None
if columns:
columns = [(c[0], column_name_2_type(c[0])) if len(c) == 1 else c for c in columns]
# Read data.
data = None
if data_format == 'text':
# ToDo: separator for more columns. For now only list supported
with open(params.filename, 'r') as r:
data = [[line] for line in filter(None, (_l.strip() for _l in r.readlines()))]
data = sorted(data)
elif data_format == 'csv':
with open(params.filename, 'r') as incsv:
reader = csv.reader(incsv, delimiter=params.delimiter, quotechar='"')
if params.has_header:
header = next(reader) # Skip header
if not columns:
columns = [(c, column_name_2_type(c)) for c in header] # Default
data = sorted(reader)
elif data_format == 'raw_data':
data = [[line] for line in filename.split(';') if line]
else:
raise ZCItoolsValueError(f'Data format {data_format} is not supported!')
if not columns:
raise ZCItoolsValueError(f"Columns are not specified for input table! Filename {params.filename}.")
# Store (or overwrite) step data
step = TableStep(project, step_data, remove_data=True)
step.set_table_data(data, columns)
step.save()
return step
def run_command_with_args(self, *args):
command = args[0].lower()
if command not in self.commands_map:
raise ZCItoolsValueError(f'Command "{command}" is not supported!')
parser = self._get_parser(command, False)
print(f"Run: {' '.join(args)}")
return self._run_command(command,
parser.parse_args(args),
cmd_args=args)
def read_step(self,
step_name,
check_data_type=None,
update_mode=False,
no_check=False,
outside_of_project=False):
if isinstance(step_name, str):
desc_data = read_yaml(os.path.join(step_name, 'description.yml'))
else:
assert isinstance(step_name, (list, tuple)), type(step_name)
desc_data = read_yaml(os.path.join(*step_name, 'description.yml'))
if not desc_data:
raise ZCItoolsValueError(f"'{step_name}' is not a step!")
data_type = desc_data['data_type']
if check_data_type:
if isinstance(check_data_type, str):
if check_data_type != data_type:
raise ZCItoolsValueError(
f"Step {step_name} is not of data type '{check_data_type}'!"
)
else:
if data_type not in check_data_type:
raise ZCItoolsValueError(
f"Step {step_name} is not of data types: {', '.join(check_data_type)}!"
)
cls = self.steps_map.get(data_type)
if not cls:
raise ZCItoolsValueError(
f"No step class for data type {data_type}!")
if outside_of_project and isinstance(step_name, (list, tuple)):
return cls(self,
desc_data['project'],
update_mode=update_mode,
no_check=no_check,
step_directory=step_name)
return cls(self,
desc_data['project'],
update_mode=update_mode,
no_check=no_check)
def _input_step(self, no_data_check=False):
assert self._INPUT_STEP_DATA_TYPE
a = self.args
step = self.project.read_step(
a.step,
check_data_type=self._INPUT_STEP_DATA_TYPE,
no_check=(no_data_check or a.no_data_check))
if not step.is_completed():
raise ZCItoolsValueError(f"Input step {a.step} is not completed!")
return step
def format_parameters(params):
# Methods
from ..chloroplast.irs.analyse_irs import METHOD_NAMES, METHOD_NAMES_RESEARCH
ms = params['methods'].lower().split(',')
if 'all' in ms:
methods = METHOD_NAMES
elif 'research' in ms:
methods = METHOD_NAMES_RESEARCH
elif not_known_methods := set(m for m in ms if m not in METHOD_NAMES):
raise ZCItoolsValueError(
f'Not know method(s): {", ".join(not_known_methods)}!')
def run(self):
from ..utils.helpers import change_sequence_data
a = self.args
method = a.method.lower()
if method not in ('revert', 'translate'):
raise ZCItoolsValueError(f"Not known method {a.method}!")
change_sequence_data(method,
a.input_filename,
a.output_filename,
input_format=a.input_format,
output_format=a.output_format,
position=a.position)
def step_base_name(self):
m = self.args.method[0].lower()
if m == 'p':
n = self._format_step_name('FixByParts')
# elif m == 'h':
# n = self._format_step_name('FixByTrnH-GUG')
elif m == 'f':
n = self._format_step_name('FixByTrnF-GAA')
else:
raise ZCItoolsValueError(f'Not known method {self.args.method}!')
# Add offset or not?
o = self.args.keep_offset
return f'{n}_{o}' if o != DEFAULT_KEEP_OFFSET else n
def _have_same_nodes(self, t2, tree_idx):
assert self.node_names[tree_idx], tree_idx
assert t2.node_names[tree_idx], tree_idx
not_in_2 = self.node_names[tree_idx] - t2.node_names[tree_idx]
not_in_1 = t2.node_names[tree_idx] - self.node_names[tree_idx]
if not_in_2 or not_in_1:
if not_in_2:
print("Nodes missing in the second tree:",
', '.join(sorted(not_in_2)))
if not_in_1:
print("Nodes missing in the first tree:",
', '.join(sorted(not_in_1)))
raise ZCItoolsValueError("Trees don't have same set of nodes.")
def run(self, step_data):
m = self.args.method[0].lower()
if m == 'p':
from .fix_by_analysis import fix_by_parts as fix_method
# elif m == 'h':
# from .fix_by_analysis import fix_by_trnH_GUG as fix_method
elif m == 'f':
from .fix_by_analysis import fix_by_trnF_GAA as fix_method
else:
raise ZCItoolsValueError(f'Not known method {self.args.method}!')
#
return fix_method(step_data, self._input_step(no_data_check=True),
self.args.subset, self.args.keep_offset,
self.get_common_db_object())
def fetch_common_db_data(step_data, table_step, step_type, common_db):
step = table_step.project.new_step_by_type(step_type,
step_data,
remove_data=True)
for seq_ident in table_step.get_column_values_by_type('seq_ident'):
f = common_db.get_record(seq_ident, step.directory, info=True)
if not f:
raise ZCItoolsValueError(
f"There is not CommonDB record for seq ident {seq_ident}!")
step.add_sequence_file(os.path.basename(f))
step.save()
return step
def _check_data(self):
# Check does alignment file exist
if all(not os.path.isfile(self.step_file(a))
for a in ('alignment.phy', 'alignment.fa')):
raise ZCItoolsValueError(
f'No alignment file for step {self.directory}!')
# Check are all sequences in sequence file
exist_seq_idents = set(
read_fasta_identifiers(self.step_file('sequences.fa')))
sets_equal(self._sequences,
exist_seq_idents,
'sequence',
step=self.directory)
def new_step_by_type(self,
data_type,
step_data,
remove_data=False,
update_mode=False,
no_check=False):
cls = self.steps_map.get(data_type)
if not cls:
raise ZCItoolsValueError(
f"No step class for data type {data_type}!")
return cls(self,
step_data,
remove_data=remove_data,
update_mode=update_mode,
no_check=no_check or self._args.no_data_check)
def read_complete_step(self,
step_name,
check_data_type=None,
update_mode=False,
no_check=False,
outside_of_project=False):
step = self.read_step(step_name,
check_data_type=check_data_type,
update_mode=update_mode,
no_check=no_check,
outside_of_project=outside_of_project)
if not step.is_completed():
raise ZCItoolsValueError(
f"Input step {step_name} is not completed!")
return step
