def setUp(self):
self.host = redbiom.get_config()['hostname']
req = requests.get(self.host + '/flushall')
assert req.status_code == 200
self.get = redbiom._requests.make_get(redbiom.get_config())
self.se = redbiom._requests.make_script_exec(redbiom.get_config())
redbiom.admin.ScriptManager.load_scripts(read_only=False)
def data_from_features(context, features, exact):
"""Fetch sample data from an iterable of features.
Parameters
----------
context : str
The name of the context to retrieve sample data from.
features : Iterable of str
The features of interest.
exact : bool
If True, only samples in which all features exist are obtained.
Otherwise, all samples with at least one feature are obtained.
Returns
-------
biom.Table
A Table populated with the found samples.
dict
A map of {sample_id_in_table: original_id}. This map can be used to
identify what samples are ambiguous based off their original IDs.
"""
import redbiom
import redbiom.util
import redbiom._requests
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
redbiom._requests.valid(context, get)
# determine the samples which contain the features of interest
samples = redbiom.util.ids_from(features, exact, 'feature', [context])
return _biom_from_samples(context, iter(samples), get=get)
def category_exists(category, get=None):
"""Test if a category exists
Parameters
----------
category : str
The category to test for
get : function
A get method
Returns
-------
bool
True if the category exists, False otherwise
Redis Command Summary
---------------------
SISMEMBER <category> metadata:catetories-represented
"""
if get is None:
import redbiom
import redbiom._requests
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
# this use highlights how get is being abused at the moment. this is a
# command which takes two arguments, they key and the member to test.
return get('metadata', 'SISMEMBER', 'categories-represented/%s' % category)
def sample_counts_per_category(categories=None):
"""Get the number of samples with usable metadata per category
Paramaters
----------
categories : list of str, optional
The specific categories to summarize. If None, then summarize
all of the categories in the database.
Returns
-------
pandas.Series
A series keyed by the category and valued by the number of samples
which have metadata for that category.
Redis command summary
---------------------
SMEMBERS metadata:categories-represented
HLEN metadata:category:<category>
"""
import redbiom
import redbiom._requests
import pandas as pd
get = redbiom._requests.make_get(redbiom.get_config())
if categories is None:
categories = list(get('metadata', 'SMEMBERS',
'categories-represented'))
results = []
for category in categories:
key = 'category:%s' % category
results.append(int(get('metadata', 'HLEN', key)))
return pd.Series(results, index=categories)
def create_context(name, description):
"""Create a context within the cache
Parameters
----------
name : str
The name of the context, e.g., deblur@150nt
description : str
A brief description about the context, e.g., "Default quality
filtering, followed by application of Deblur with a trim length of
150nt."
Redis commmand summary
----------------------
HSET state:context <name> <description>
HSET <context>:state db-version <current-db-version>
"""
import redbiom
import redbiom._requests
config = redbiom.get_config()
post = redbiom._requests.make_post(config)
post('state', 'HSET', "contexts/%s/%s" % (name, description))
post(name, 'HSET', "state/db-version/%s" % redbiom.__db_version__)
ScriptManager.load_scripts()
def whereeval(str_, get=None):
"""Evaluate a set operation string, where each Name is fetched"""
if get is None:
import redbiom
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
# Load is subject to indirection to simplify testing
globals()['Load'] = make_Load(get)
formed = ast.parse(str_, mode='eval')
node_types = [ast.Compare, ast.In, ast.NotIn, ast.BoolOp, ast.And,
ast.Name, ast.Or, ast.Eq, ast.Lt, ast.LtE, ast.Gt, ast.GtE,
ast.NotEq, ast.Str, ast.Num, ast.Load, ast.Expression,
ast.Tuple, ast.Is, ast.IsNot]
if sys.version_info.major == 3:
node_types.append(ast.NameConstant)
node_types = tuple(node_types)
for node in ast.walk(formed):
if not isinstance(node, node_types):
raise TypeError("Unsupported node type: %s" % ast.dump(node))
result = eval(ast.dump(formed))
# clean up
global Load
del Load
return result
def test_resolve_ambiguities(self):
import redbiom._requests
import redbiom
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
redbiom.admin.create_context('test', 'foo')
redbiom.admin.load_sample_metadata(metadata)
redbiom.admin.ScriptManager.load_scripts(read_only=False)
redbiom.admin.load_sample_data(table, 'test', tag=None)
# all samples as ambiguous
samples = {'10317.000047188', '10317.000046868', '10317.000051129',
'10317.000012975', '10317.000033804', '10317.000001405',
'10317.000022252', '10317.000001378', '10317.000005080',
'10317.000003302'}
exp_stable = {"%s.UNTAGGED" % k: k for k in samples}
exp_unobserved = []
exp_ambiguous = {k: ["UNTAGGED_%s" % k] for k in samples}
exp_ri = {'UNTAGGED_%s' % k: '%s.UNTAGGED' % k for k in samples}
obs_stable, obs_unobserved, obs_ambiguous, obs_ri = \
resolve_ambiguities('test', samples, get)
self.assertEqual(obs_stable, exp_stable)
self.assertEqual(obs_unobserved, exp_unobserved)
self.assertEqual(obs_ambiguous, exp_ambiguous)
self.assertEqual(obs_ri, exp_ri)
def test_resolve_ambiguities_ambigbug(self):
import redbiom._requests
import redbiom
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
redbiom.admin.create_context('test', 'foo')
redbiom.admin.load_sample_metadata(metadata)
redbiom.admin.ScriptManager.load_scripts(read_only=False)
redbiom.admin.load_sample_data(table, 'test', tag='fromtest')
redbiom.admin.load_sample_metadata(metadata_with_alt)
redbiom.admin.load_sample_data(table_with_alt, 'test',
tag='fromalt')
samples = {'fromtest_10317.000005080', 'fromalt_10317.000005080'}
exp_stable = {'10317.000005080.fromtest': 'fromtest_10317.000005080',
'10317.000005080.fromalt': 'fromalt_10317.000005080'}
exp_unobserved = []
exp_ambiguous = {'10317.000005080': ['fromtest_10317.000005080',
'fromalt_10317.000005080']}
exp_ri = {'fromtest_10317.000005080': '10317.000005080.fromtest',
'fromalt_10317.000005080': '10317.000005080.fromalt'}
obs_stable, obs_unobserved, obs_ambiguous, obs_ri = \
resolve_ambiguities('test', samples, get)
self.assertEqual(obs_stable, exp_stable)
self.assertEqual(obs_unobserved, exp_unobserved)
self.assertEqual({k: set(v) for k, v in obs_ambiguous.items()},
{k: set(v) for k, v in exp_ambiguous.items()})
self.assertEqual(obs_ri, exp_ri)
def buffered(it, prefix, cmd, context, get=None, buffer_size=10,
multikey=None):
"""Bulk fetch data
Many of the commands within REDIS accept multiple arguments (e.g., MGET).
This method facilitates the use of these bulk commands over an iterable
of items. The method will additionally "chunk" by a buffer_size as to
limit the size of the URL being constructed. The URLs have an upper bound
of around 100kb from testing -- this is limit is dependent on the client
and the server. It is not clear what the actual limit is for Webdis. As a
rule of thumb, the aim is to target requests for a few kb at a time.
Parameters
----------
it : iterable
The items to query for
prefix : string
A key prefix such as "data"
cmd : string, a Redis command
The command to request be executed
context : string
The context to operate under (ie another prefix).
get : function, optional
An existing get function
buffer_size: int, optional
The number of items to query for at once. It is important to avoid
having a buffer size which may result in a URL exceeding 100kb as in
testing, that was not well support unsurprisingly.
multikey: string, optional
For hashbucket commands, like HMGET, where there is an outer and inner
key.
"""
if get is None:
import redbiom
config = redbiom.get_config()
get = make_get(config)
if multikey is None:
prefixer = lambda a, b, c: '%s:%s:%s' % (a, b, c)
else:
prefixer = lambda a, b, c: c
it = iter(it)
exhausted = False
while not exhausted:
items = []
for i in range(buffer_size):
try:
items.append(next(it).strip())
except StopIteration:
exhausted = True
break
# it may be possible to use _format_request here
bulk = '/'.join([prefixer(context, prefix, i) for i in items])
if multikey:
bulk = "%s:%s/%s" % (context, multikey, bulk)
if bulk:
yield items, get(None, cmd, bulk)
def make_post(config, redis_protocol=None):
"""Factory function: produce a post() method"""
import redbiom
s = get_session()
config = redbiom.get_config()
if redis_protocol:
# for expensive load operations like feature data, it potentially
# faster to use the native protocol. this writes out the redis
# commands in their native for feeding into redis-cli --pipe. More
# information can be found here:
# https://redis.io/topics/mass-insert
def f(context, cmd, payload):
import sys
args = payload.split('/')
args[0] = ':'.join([context, args[0]])
args.insert(0, cmd)
# https://gist.github.com/laserson/2689744
proto = ''
proto += '*' + str(len(args)) + '\r\n'
for arg in args:
proto += '$' + str(len(bytes(str(arg), 'utf-8'))) + '\r\n'
proto += str(arg) + '\r\n'
sys.stdout.write(proto)
sys.stdout.flush()
else:
def f(context, cmd, payload):
req = s.post(config['hostname'],
data=_format_request(context, cmd, payload))
return _parse_validate_request(req, cmd)
return f
def get(name):
"""Retreive the SHA1 of a script
Parameters
----------
name : str
The name of the script to fetch
Raises
------
ValueError
If the script name is not recognized
"""
if name in ScriptManager._cache:
return ScriptManager._cache[name]
import redbiom
import redbiom._requests
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
sha = get('state', 'HGET', 'scripts/%s' % name)
if sha is None:
raise ValueError('Unknown script')
ScriptManager._cache[name] = sha
return sha
def ids_from(it, exact, axis, contexts):
"""Grab samples from an iterable of IDs
Parameters
----------
it : iteraable of str
The IDs to search for
exact : boolean
If True, compute the intersection of results per context. If False,
compute the union of results per context.
axis : {'feature', 'sample'}
The axis to operate over.
contexts : list of str
The contexts to search in
Notes
-----
Contexts are evaluated independently, and the results of each context are
unioned.
Returns
-------
set
The sample IDs associated with the search IDs.
"""
import redbiom
import redbiom._requests
import redbiom.admin
config = redbiom.get_config()
se = redbiom._requests.make_script_exec(config)
retrieved = set()
if axis not in {'feature', 'sample'}:
raise ValueError("Unknown axis: %s" % axis)
if not isinstance(contexts, (list, set, tuple)):
contexts = [contexts]
it = list(it)
fetcher = redbiom.admin.ScriptManager.get('fetch-%s' % axis)
for context in contexts:
context_ids = None
for id_ in it:
block = se(fetcher, 0, context, id_)
if not exact:
if context_ids is None:
context_ids = set()
context_ids.update(block)
else:
if context_ids is None:
context_ids = set(block)
else:
context_ids = context_ids.intersection(block)
if context_ids:
retrieved = retrieved.union(context_ids)
return retrieved
def load_scripts(read_only=True):
"""Load scripts into Redis
Parameters
----------
read_only : bool, optional
If True, only load read-only scripts. If False, load writable
scripts
"""
import redbiom
import redbiom._requests
import hashlib
config = redbiom.get_config()
s = redbiom._requests.get_session()
post = redbiom._requests.make_post(config)
get = redbiom._requests.make_get(config)
for name, script in ScriptManager._scripts.items():
if read_only and name in ScriptManager._admin_scripts:
continue
sha1 = hashlib.sha1(script.encode('ascii')).hexdigest()
keypair = 'scripts/%s/%s' % (name, sha1)
# load the script
s.put(config['hostname'] + '/SCRIPT/LOAD', data=script)
# create a mapping
post('state', 'HSET', keypair)
# verify we've correctly computed the hash
obs = get('state', 'HGET', 'scripts/%s' % name)
assert obs == sha1
def valid(context, get=None):
"""Test if a context exists"""
if get is None:
import redbiom
config = redbiom.get_config()
get = make_get(config)
if not get('state', 'HEXISTS', 'contexts/%s' % context):
raise ValueError("Unknown context: %s" % context)
def drop_scripts():
"""Flush the loaded scripts in the redis database"""
import redbiom
import redbiom._requests
config = redbiom.get_config()
s = redbiom._requests.get_session()
s.get(config['hostname'] + '/SCRIPT/FLUSH')
s.get(config['hostname'] + '/DEL/state:scripts')
ScriptManager._cache = {}
def search_samples(from_, exact, context, samples):
"""Get features present in samples."""
import redbiom
import redbiom._requests
import redbiom.util
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
_, _, _, rb_ids = redbiom.util.resolve_ambiguities(context, samples, get)
rb_ids = list(rb_ids)
_axis_search(from_, exact, context, iter(rb_ids), 'sample')
def make_get(config):
"""Factory function: produce a get() method"""
import redbiom
s = get_session()
config = redbiom.get_config()
def f(context, cmd, data):
payload = _format_request(context, cmd, data)
url = '/'.join([config['hostname'], payload])
return _parse_validate_request(s.get(url), cmd)
return f
def test_resolve_ambiguities_mixed(self):
import redbiom._requests
import redbiom
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
redbiom.admin.create_context('test', 'foo')
redbiom.admin.load_sample_metadata(metadata)
redbiom.admin.ScriptManager.load_scripts(read_only=False)
redbiom.admin.load_sample_data(table, 'test', tag=None)
samples = {
'10317.000047188', '10317.000046868', '10317.000051129',
'10317.000012975', '10317.000033804', '10317.000001405',
'10317.000022252', '10317.000001378', 'foo', 'UNTAGGED_bar',
'UNTAGGED_10317.000003302'
}
exp_stable = {
"%s.UNTAGGED" % k: k
for k in samples if 'foo' not in k and 'bar' not in k
}
exp_stable.pop('UNTAGGED_10317.000003302.UNTAGGED')
exp_stable['10317.000003302.UNTAGGED'] = 'UNTAGGED_10317.000003302'
exp_unobserved = ['foo', 'UNTAGGED_bar']
exp_ambiguous = {
'10317.000047188': ['UNTAGGED_10317.000047188'],
'10317.000046868': ['UNTAGGED_10317.000046868'],
'10317.000051129': ['UNTAGGED_10317.000051129'],
'10317.000012975': ['UNTAGGED_10317.000012975'],
'10317.000033804': ['UNTAGGED_10317.000033804'],
'10317.000001405': ['UNTAGGED_10317.000001405'],
'10317.000022252': ['UNTAGGED_10317.000022252'],
'10317.000001378': ['UNTAGGED_10317.000001378'],
'10317.000003302': ['UNTAGGED_10317.000003302']
}
exp_ri = {
'UNTAGGED_10317.000047188': '10317.000047188.UNTAGGED',
'UNTAGGED_10317.000046868': '10317.000046868.UNTAGGED',
'UNTAGGED_10317.000051129': '10317.000051129.UNTAGGED',
'UNTAGGED_10317.000012975': '10317.000012975.UNTAGGED',
'UNTAGGED_10317.000033804': '10317.000033804.UNTAGGED',
'UNTAGGED_10317.000001405': '10317.000001405.UNTAGGED',
'UNTAGGED_10317.000022252': '10317.000022252.UNTAGGED',
'UNTAGGED_10317.000001378': '10317.000001378.UNTAGGED',
'UNTAGGED_10317.000003302': '10317.000003302.UNTAGGED'
}
obs_stable, obs_unobserved, obs_ambiguous, obs_ri = \
resolve_ambiguities('test', samples, get)
self.assertEqual(obs_stable, exp_stable)
self.assertEqual(obs_unobserved, exp_unobserved)
self.assertEqual(obs_ambiguous, exp_ambiguous)
self.assertEqual(obs_ri, exp_ri)
def assert_test_env():
import os
import redbiom
conf = redbiom.get_config()
if not conf['hostname'].startswith('http://127.0.0.1'):
if not os.environ.get('REDBIOM_OVERRIDE_HOST_AND_TEST', False):
raise ValueError("It appears the REDBIOM_HOST is not 127.0.0.1. "
"By default, the tests will not run on outside "
"of localhost, however if you're sure you want "
"to run the tests against the set host, please "
"set the environment variable "
"REDBIOM_OVERRIDE_HOST_AND_TEST")
def get_timestamps():
"""Obtain the stored timestamps
Redis command summary
---------------------
LRANGE state:timestamps 0 -1
"""
import redbiom
import redbiom._requests
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
return get('state', 'LRANGE', 'timestamps/0/-1')
def make_script_exec(config):
"""Factory function: produce a script_exec() method"""
import redbiom
import json
s = get_session()
config = redbiom.get_config()
def f(sha, *args):
payload = [config['hostname'], 'EVALSHA', sha]
payload.extend([str(a) for a in args])
url = '/'.join(payload)
return json.loads(_parse_validate_request(s.get(url), 'EVALSHA'))
return f
def features(from_, context, exact, samples):
"""Given samples, select the features associated."""
import redbiom
import redbiom._requests
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
import redbiom.util
iterator = redbiom.util.from_or_nargs(from_, samples)
_, _, _, rids = redbiom.util.resolve_ambiguities(context, iterator, get)
for i in redbiom.util.ids_from(rids, exact, 'sample', context):
click.echo(i)
def seteval(str_, get=None, stemmer=None, target=None):
"""Evaluate a set operation string, where each Name is fetched
Parameters
----------
str_ : str
The query to evaluate
get : function, optional
A getting method, defaults to instatiating one from _requests
stemmer : function, optional
A method to stem a query Name. If None, defaults to passthrough.
target : str, optional
A subcontext to query against. If None, defaults to text-search.
"""
if get is None:
import redbiom
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
if stemmer is None:
stemmer = passthrough
if target is None:
target = 'text-search'
# Load is subject to indirection to simplify testing
globals()['Load'] = make_Load(get)
# this seems right now to be the easiest way to inject parameters
# into Name
globals()['stemmer'] = stemmer
globals()['target'] = target
formed = ast.parse(str_, mode='eval')
node_types = (ast.BitAnd, ast.BitOr, ast.BitXor, ast.Name, ast.Sub,
ast.Expression, ast.BinOp, ast.Load)
for node in ast.walk(formed):
if not isinstance(node, node_types):
raise TypeError("Unsupported node type: %s" % ast.dump(node))
result = eval(ast.dump(formed))
# clean up
global Load
del Load
del stemmer
del target
return result
def category_sample_values(category, samples=None):
"""Obtain the samples and their corresponding category values
Parameters
----------
category : str
A metadata column of interest.
samples : Iterable of str, optional
If provided, only the specified samples and their values are obtained.
Returns
-------
pandas.Series
A Series indexed by the Sample ID and valued by the metadata value for
that sample for the specified category.
Redis command summary
---------------------
HGETALL metadata:category:<category>
HMGET metadata:category:<category> <sample_id> ... <sample_id>
"""
import redbiom
import redbiom._requests
import pandas as pd
get = redbiom._requests.make_get(redbiom.get_config())
key = 'category:%s' % category
if samples is None:
keys_vals = list(get('metadata', 'HGETALL', key).items())
else:
untagged, _, _, tagged_clean = \
redbiom.util.partition_samples_by_tags(samples)
samples = untagged + tagged_clean
getter = redbiom._requests.buffered(iter(samples),
None,
'HMGET',
'metadata',
get=get,
buffer_size=100,
multikey=key)
# there is probably some niftier method than this.
keys_vals = [(sample, obs_val) for idx, vals in getter
for sample, obs_val in zip(idx, vals)]
index = (v[0] for v in keys_vals)
data = (v[1] for v in keys_vals)
return pd.Series(data=data, index=index)
def make_put(config):
"""Factory function: produce a put() method
Within Webdis, PUT is generally used to provide content in the body for
use as a file upload.
"""
import redbiom
s = get_session()
config = redbiom.get_config()
def f(context, cmd, key, data):
url = '/'.join([config['hostname'],
_format_request(context, cmd, key)])
req = s.put(url, data=data)
return _parse_validate_request(req, cmd)
return f
def get_index(context, key, axis):
"""Get a unique integer value for a key within a context
Parameters
----------
context : str
The context to operate in
key : str
The key to get a unique index for
axis : str
Either feature or sample
Notes
-----
This method is an atomic equivalent of:
def get_or_set(d, item):
if item not in d:
d[item] = len(d)
return d[item]
Returns
-------
int
A unique integer index within the context for the key
"""
import redbiom
import redbiom._requests
config = redbiom.get_config()
# we need to issue the request directly as the command structure is
# rather different than other commands
s = redbiom._requests.get_session()
sha = ScriptManager.get('get-index')
url = '/'.join([
config['hostname'], 'EVALSHA', sha, '1',
"%s:%s-index" % (context, axis), key
])
req = s.get(url)
if req.status_code != 200:
raise ValueError("Unable to obtain index; %d; %s" %
(req.status_code, req.content))
return int(req.json()['EVALSHA'])
def has_sample_metadata(samples, get=None):
"""Test if all samples have sample metadata"""
import redbiom._requests
if get is None:
import redbiom
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
untagged, tagged, _, tagged_clean = partition_samples_by_tags(samples)
# make sure all samples have metadata
represented = set(get('metadata', 'SMEMBERS', 'samples-represented'))
if not set(untagged).issubset(represented):
return False
if not set(tagged_clean).issubset(represented):
return False
return True
def samples_in_context(context, unambiguous, get=None):
"""Fetch samples in a context
Parameters
----------
context : str
The context to obtain samples from.
unambiguous : bool
If True, return unambiguous identifiers, if false return ambiguated
identifiers.
get : a make_get instance, optional
A constructed get method.
Returns
-------
set
The set of sample identifers within a context.
Raises
------
ValueError
If the requested context is not known.
Redis Command Summary
---------------------
SMEMBERS <context>:samples-represented
"""
import redbiom
import redbiom._requests
import redbiom.util
if get is None:
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
redbiom._requests.valid(context, get)
obs = get(context, 'SMEMBERS', 'samples-represented')
if not unambiguous:
_, _, _, tagged_clean = redbiom.util.partition_samples_by_tags(obs)
return set(tagged_clean)
else:
return set(obs)
def select_samples_from_metadata(from_, context, query, samples):
"""Given samples, select based on metadata"""
import redbiom.util
import redbiom.search
import redbiom
import redbiom._requests
config = redbiom.get_config()
get = redbiom._requests.make_get(config)
iterator = redbiom.util.from_or_nargs(from_, samples)
_, _, ambig, _ = redbiom.util.resolve_ambiguities(context, iterator, get)
full_search = redbiom.search.metadata_full(query)
for i in (full_search & set(ambig)):
for rid in ambig[i]: # get unambiguous redbiom id
click.echo(rid)
def contexts(detail=True):
"""Obtain the name and description of known contexts
Parameters
----------
detail : bool, optional
If True, obtain additional context detail.
Returns
-------
DataFrame
Containing context information.
Redis command summary
---------------------
HGETALL state:contexts
SCARD <context>:samples-represented
SCARD <context>:features-represented
"""
import pandas as pd
import redbiom
import redbiom._requests
get = redbiom._requests.make_get(redbiom.get_config())
if not detail:
contexts = get('state', 'HKEYS', 'contexts')
return pd.DataFrame(contexts, columns=['ContextName'])
else:
contexts = get('state', 'HGETALL', 'contexts')
result = []
for name, desc in contexts.items():
ctx_n_samp = get(name, 'SCARD', 'samples-represented')
ctx_n_feat = get(name, 'SCARD', 'features-represented')
result.append((name, int(ctx_n_samp), int(ctx_n_feat), desc))
return pd.DataFrame(result,
columns=[
'ContextName', 'SamplesWithData',
'FeaturesWithData', 'Description'
])
