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study.py
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study.py
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# ----------------------------------------------------------------------------
# Copyright (c) 2017-, LabControl development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ----------------------------------------------------------------------------
from . import base
from . import sql_connection
from . import user
import logging
class Study(base.LabControlObject):
"""Study object
Attributes
----------
id
title
creator
num_samples
Methods
-------
list_studies
samples
See Also
--------
labcontrol.db.base.LabControlObject
"""
_table = "qiita.study"
_id_column = "study_id"
@classmethod
def list_studies(cls):
"""Generates a list of studies with some information about them
Returns
-------
list of dicts
The list of studies with a dictionary with the structure:
{'study_id': int, 'study_title': string, 'study_alias': string,
'owner': string, 'num_samples': int}
"""
with sql_connection.TRN as TRN:
sql = """SELECT study_id, study_title, study_alias, email as owner,
COUNT(sample_id) as num_samples
FROM qiita.study
LEFT JOIN qiita.study_sample USING (study_id)
GROUP BY study_id, study_title, study_alias, email
ORDER BY study_id"""
TRN.add(sql)
return [dict(r) for r in TRN.execute_fetchindex()]
@property
def title(self):
"""The study title"""
return self._get_attr('study_title')
@property
def creator(self):
"""The user that created the study"""
return user.User(self._get_attr('email'))
@property
def specimen_id_column(self):
"""Returns the specimen identifier column
Returns
-------
str
The name of the specimen id column
Notes
-----
Copied from qiita_db/study.py
"""
with sql_connection.TRN:
sql = """SELECT specimen_id_column
FROM qiita.study
WHERE study_id = %s"""
sql_connection.TRN.add(sql, [self._id])
return sql_connection.TRN.execute_fetchlast()
def specimen_id_to_sample_id(self, specimen):
"""Search for a specimen and retrieve its sample identifier
Parameters
----------
specimen: str
The name of the specimen.
Returns
-------
str
The sample identifier for this specimen.
Raises
------
ValueError
If no matches are found.
RuntimeError
If more than one match is found.
Notes
-----
If the specimen_id_column is not set, the specimen_id is assumed to be
the sample_id, and it will be verified against the list of known
samples.
"""
specimen_id_column = self.specimen_id_column
with sql_connection.TRN as TRN:
if specimen_id_column is None:
# assuming specimen_id_column should be sample_id column,
# verify that the sample_id exists in study_sample.
sql = """SELECT sample_id
FROM qiita.study_sample
WHERE
sample_id = %s
"""
else:
sql = """SELECT sample_id as {1}
FROM qiita.sample_{0}
WHERE
sample_values->>'{1}' = %s
""".format(self._id, specimen_id_column)
TRN.add(sql, [specimen])
res = TRN.execute_fetchflatten()
if len(res) == 0:
raise ValueError('Could not find "%s"' % specimen)
# if a specimen_id_column is not unique (since this is softly
# enforced), then there can be more than one match
elif len(res) > 1:
raise RuntimeError('There are several matches found for "%s"; '
'there is a problem with the specimen id '
'column' % specimen)
return res.pop()
def sample_id_to_specimen_id(self, sample_id):
"""Search for a sample identifier and retrieve its specimen identifier
Parameters
----------
sample_id: str
The name of the specimen.
Returns
-------
str
The specimen identifier for this sample identifier.
Raises
------
ValueError
If not matches are found (when a specimen_id_column is set).
Notes
-----
If a specimen identifier column hasn't been set, this method will
return the input value.
"""
specimen_id_column = self.specimen_id_column
if specimen_id_column is None:
return sample_id
with sql_connection.TRN as TRN:
sql = """SELECT sample_values->'{0}'
FROM qiita.sample_{1} as {0}
WHERE
sample_id = %s
""".format(specimen_id_column, self.id)
TRN.add(sql, [sample_id])
res = TRN.execute_fetchflatten()
# res is length zero or one; the column has a unique constraint
if len(res) == 0:
raise ValueError('Could not find "%s"' % sample_id)
return res.pop()
def samples(self, term=None, limit=None):
"""The study samples
Parameters
----------
term: str, optional
If provided, return only the samples that contain the given term
limit: str, optional
If provided, don't return more than `int(limit)` results
Returns
-------
list of str
Returns tube identifiers if the `specimen_id_column` has been set
(in Qiita), or alternatively returns the sample identifier.
Raises
------
ValueError
If `int(limit)` raises a ValueError or OverflowError, or if
`limit` is less than or equal to 0.
"""
# SQL generation moved outside of the with conditional to enhance
# readability. No impact on performance if the conditional fails.
column = self.specimen_id_column
column = column if column is not None else 'sample_id'
table = "qiita.sample_%d" % self.id
where_clause = "where sample_id != 'qiita_sample_column_names'"
if term:
if column == 'sample_id':
s = " and lower(sample_id) like '%%%s%%'" % term.lower()
else:
s = " and lower(sample_values->>'%s') like '%%%s%%'"
s = s % (column, term.lower())
where_clause += s
if column == 'sample_id':
order_by_clause = 'order by sample_id'
else:
order_by_clause = "order by sample_values->'%s'" % column
if limit is not None:
# Attempt to cast the limit to an int, and (if that works) verify
# that the integer limit is greater than zero
try:
limit = int(limit)
except Exception:
# Examples of possible exceptions due to int(limit) failing:
# - ValueError is most "common," occurs with int("abc")
# - OverflowError occurs with int(float("inf"))
# - TypeError occurs with int([1,2,3])
# This should catch all of the above and any other exceptions
# raised due to int(limit) failing.
raise ValueError("limit must be castable to an int")
if limit <= 0:
raise ValueError("limit must be greater than zero")
order_by_clause += " limit %d" % limit
if column == 'sample_id':
sql = "select sample_id from %s %s %s"
sql = sql % (table, where_clause, order_by_clause)
else:
sql = "select sample_values->'%s' as %s from %s %s %s"
sql = sql % (column, column, table, where_clause, order_by_clause)
logging.debug(sql)
with sql_connection.TRN as TRN:
TRN.add(sql)
return TRN.execute_fetchflatten()
@property
def num_samples(self):
"""The number of samples in the study"""
with sql_connection.TRN as TRN:
sql = """SELECT count(sample_id)
FROM qiita.study_sample
WHERE study_id = %s"""
TRN.add(sql, [self.id])
return TRN.execute_fetchlast()
@property
def sample_numbers_summary(self):
"""Retrieves a summary of the status of the samples"""
with sql_connection.TRN as TRN:
sql = """SELECT * FROM
(SELECT COUNT(sample_id) AS num_samples
FROM qiita.study_sample
WHERE study_id = %s) ns,
-- Number of samples plated
(SELECT COUNT(DISTINCT sample_id) AS number_samples_plated
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
WHERE study_id = %s) nsp,
-- Number of samples extracted
(SELECT COUNT(DISTINCT sample_id) AS number_samples_extracted
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
WHERE study_id = %s) nse,
-- Number of samples prepared for amplicon libraries
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_amplicon_libraries
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.library_prep_16s_composition
USING (gdna_composition_id)
WHERE study_id = %s) nsal,
-- Number of samples included in amplicon pools
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_amplicon_pools
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.library_prep_16s_composition lib
USING (gdna_composition_id)
JOIN labcontrol.pool_composition_components p
ON lib.composition_id = p.input_composition_id
WHERE study_id = %s) nsap,
-- Number of samples included in amplicon sequencing pools
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_amplicon_sequencing_pools
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.library_prep_16s_composition lib
USING (gdna_composition_id)
JOIN labcontrol.pool_composition_components p
ON lib.composition_id = p.input_composition_id
JOIN labcontrol.pool_composition pc
ON p.output_pool_composition_id =
pc.pool_composition_id
JOIN labcontrol.pool_composition_components p2
ON p2.input_composition_id = pc.composition_id
WHERE study_id = %s) nsasp,
-- Number of samples amplicon sequenced
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_amplicon_sequencing_runs
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.library_prep_16s_composition lib
USING (gdna_composition_id)
JOIN labcontrol.pool_composition_components p
ON lib.composition_id = p.input_composition_id
JOIN labcontrol.pool_composition pc
ON p.output_pool_composition_id =
pc.pool_composition_id
JOIN labcontrol.pool_composition_components p2
ON p2.input_composition_id = pc.composition_id
JOIN labcontrol.sequencing_process_lanes s
ON s.pool_composition_id =
p2.output_pool_composition_id
WHERE study_id = %s) nsasr,
-- Number of samples compressed
(SELECT COUNT(DISTINCT sample_id) AS number_samples_compressed
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.compressed_gdna_composition
USING (gdna_composition_id)
WHERE study_id = %s) nsc,
-- Number of samples normalized
(SELECT COUNT(DISTINCT sample_id) AS number_samples_normalized
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.compressed_gdna_composition
USING (gdna_composition_id)
JOIN labcontrol.normalized_gdna_composition
USING (compressed_gdna_composition_id)
WHERE study_id = %s) nsn,
-- Number of samples prepared for shotgun libraries
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_shotgun_libraries
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.compressed_gdna_composition
USING (gdna_composition_id)
JOIN labcontrol.normalized_gdna_composition
USING (compressed_gdna_composition_id)
JOIN labcontrol.library_prep_shotgun_composition
USING (normalized_gdna_composition_id)
WHERE study_id = %s) nssl,
-- Number of samples included in a shotgun pool
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_shotgun_pool
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.compressed_gdna_composition
USING (gdna_composition_id)
JOIN labcontrol.normalized_gdna_composition
USING (compressed_gdna_composition_id)
JOIN labcontrol.library_prep_shotgun_composition
lib
USING (normalized_gdna_composition_id)
JOIN labcontrol.pool_composition_components p
ON lib.composition_id = p.input_composition_id
WHERE study_id = %s) nssp,
-- Number of samples shotgun sequenced
(SELECT COUNT(DISTINCT sample_id) AS
number_samples_shotgun_sequencing_runs
FROM qiita.study_sample
JOIN labcontrol.sample_composition
USING (sample_id)
JOIN labcontrol.gdna_composition
USING (sample_composition_id)
JOIN labcontrol.compressed_gdna_composition
USING (gdna_composition_id)
JOIN labcontrol.normalized_gdna_composition
USING (compressed_gdna_composition_id)
JOIN labcontrol.library_prep_shotgun_composition
lib
USING (normalized_gdna_composition_id)
JOIN labcontrol.pool_composition_components p
ON lib.composition_id = p.input_composition_id
JOIN labcontrol.sequencing_process_lanes l
ON p.output_pool_composition_id =
l.pool_composition_id
WHERE study_id = %s) nsssr"""
# Magic number 12 -> the number of times the study id appears
# as parameter in the previous query
TRN.add(sql, [self.id] * 12)
# Magic number 0 -> the previous query only outputs a single row
return dict(TRN.execute_fetchindex()[0])