def _model_from_stream(stream, filename):
if filename.endswith(".gz"):
with GzipFile(fileobj=stream) as file_handle:
model = read_sbml_model(file_handle)
else:
model = read_sbml_model(stream)
return model
def models():
"""
Preload the storage module with test models.
This fixture ensures models are loaded locally, and only once per test session.
The returned dict contains a map of model identifier to the corresponding numeric id
in the storage module.
For endpoint tests, use the returned dict to access the numeric id for a given model
id. For unit tests, consider using the function-scoped fixtures below to be able to
make revertable modifications to the models.
"""
model_keys = {"e_coli_core": 1, "e_coli_core_proprietary": 2, "iJO1366": 3}
model = read_sbml_model("tests/data/e_coli_core.sbml.gz")
storage._MODELS[model_keys["e_coli_core"]] = storage.ModelWrapper(
model, None, "Escherichia coli", "BIOMASS_Ecoli_core_w_GAM")
model = read_sbml_model("tests/data/e_coli_core.sbml.gz")
storage._MODELS[
model_keys["e_coli_core_proprietary"]] = storage.ModelWrapper(
model, 1, "Escherichia coli", "BIOMASS_Ecoli_core_w_GAM")
model = read_sbml_model("tests/data/iJO1366.sbml.gz")
storage._MODELS[model_keys["iJO1366"]] = storage.ModelWrapper(
model, None, "Escherichia coli", "BIOMASS_Ec_iJO1366_core_53p95M")
return model_keys
def to_json(
directory,
models_directory,
icc389=None,
icc431=None,
icc470=None,
icc651=None,
):
if icc389:
model = read_sbml_model(join(directory, models_directory, icc389))
save_json_model(model,
join(directory, models_directory, f'{model.id}.json'))
if icc431:
model = read_sbml_model(join(directory, models_directory, icc431))
save_json_model(model,
join(directory, models_directory, f'{model.id}.json'))
if icc470:
model = read_sbml_model(join(directory, models_directory, icc470))
save_json_model(model,
join(directory, models_directory, f'{model.id}.json'))
if icc651:
model = read_sbml_model(join(directory, models_directory, icc651))
save_json_model(model,
join(directory, models_directory, f'{model.id}.json'))
def test_stable_gprs(data_directory, tmp_path):
mini = read_sbml_model(join(data_directory, "mini_fbc2.xml"))
mini.reactions.GLCpts.gene_reaction_rule = "((b2415 and b2417)or (b2416))"
fixed = join(str(tmp_path), "fixed_gpr.xml")
write_sbml_model(mini, fixed)
fixed_model = read_sbml_model(fixed)
assert (fixed_model.reactions.GLCpts.gene_reaction_rule ==
"(b2415 and b2417) or b2416")
def test_from_sbml_string(data_directory):
"""Test reading from SBML string."""
sbml_path = join(data_directory, "mini_fbc2.xml")
with open(sbml_path, "r") as f_in:
sbml_str = f_in.read()
model1 = read_sbml_model(sbml_str)
model2 = read_sbml_model(sbml_path)
TestCobraIO.compare_models(name="read from string",
model1=model1, model2=model2)
def raise_libsbml_errors():
with pytest.raises(ImportError):
io.read_sbml_model('test')
with pytest.raises(ImportError):
io.write_sbml_model(None, 'test')
with pytest.raises(ImportError):
io.load_matlab_model('test')
with pytest.raises(ImportError):
io.write_legacy_sbml(None, 'test')
with pytest.raises(ImportError):
io.read_legacy_sbml(None, 'test')
def test_from_sbml_string(data_directory):
"""Test reading from SBML string."""
sbml_path = join(data_directory, "mini_fbc2.xml")
with open(sbml_path, "r") as f_in:
sbml_str = f_in.read()
model1 = read_sbml_model(sbml_str)
model2 = read_sbml_model(sbml_path)
TestCobraIO.compare_models(name="read from string",
model1=model1,
model2=model2)
def raise_libsbml_errors():
with pytest.raises(ImportError):
io.read_sbml_model('test')
with pytest.raises(ImportError):
io.write_sbml_model(None, 'test')
with pytest.raises(ImportError):
io.load_matlab_model('test')
with pytest.raises(ImportError):
io.write_legacy_sbml(None, 'test')
with pytest.raises(ImportError):
io.read_legacy_sbml(None, 'test')
def test_read_write_sbml_annotations(data_directory, tmp_path):
"""Test reading and writing annotations."""
with open(join(data_directory, "annotation.xml"), "r") as f_in:
model1 = read_sbml_model(f_in)
sbml_path = join(str(tmp_path), "test.xml")
with open(sbml_path, "w") as f_out:
write_sbml_model(model1, f_out)
with open(sbml_path, "r") as f_in:
model2 = read_sbml_model(f_in)
_check_sbml_annotations(model2)
def test_read_write_sbml_annotations(data_directory, tmp_path):
"""Test reading and writing annotations."""
with open(join(data_directory, "annotation.xml"), "r") as f_in:
model1 = read_sbml_model(f_in)
sbml_path = join(str(tmp_path), "test.xml")
with open(sbml_path, "w") as f_out:
write_sbml_model(model1, f_out)
with open(sbml_path, "r") as f_in:
model2 = read_sbml_model(f_in)
_check_sbml_annotations(model2)
def test_filehandle(data_directory, tmp_path):
"""Test reading and writing to file handle."""
with open(join(data_directory, "mini_fbc2.xml"), "r") as f_in:
model1 = read_sbml_model(f_in)
assert model1 is not None
sbml_path = join(str(tmp_path), "test.xml")
with open(sbml_path, "w") as f_out:
write_sbml_model(model1, f_out)
with open(sbml_path, "r") as f_in:
model2 = read_sbml_model(f_in)
TestCobraIO.compare_models(name="filehandle", model1=model1, model2=model2)
def test_filehandle(data_directory, tmp_path):
"""Test reading and writing to file handle."""
with open(join(data_directory, "mini_fbc2.xml"), "r") as f_in:
model1 = read_sbml_model(f_in)
assert model1 is not None
sbml_path = join(str(tmp_path), "test.xml")
with open(sbml_path, "w") as f_out:
write_sbml_model(model1, f_out)
with open(sbml_path, "r") as f_in:
model2 = read_sbml_model(f_in)
TestCobraIO.compare_models(name="filehandle",
model1=model1, model2=model2)
def constraints(request):
if request.method == "POST":
handle_upload_file(request.FILES['file'], str(request.FILES['file']))
filename = request.FILES['file'].name
if filename == "3HAO.lp":
gurobi = gurobipy.read(
"/Users/mihaoyang/Desktop/BEProject7/Recon/File/3HAO.lp")
with Capturing() as output:
gurobi.optimize()
model = io.read_sbml_model(
"/Users/mihaoyang/Desktop/BEProject7/Recon/File/Recon2_2.xml")
model.objective = "3HAO"
with Capturing() as output1:
model.summary()
model.optimize().objective_value
context = dict(a1=output, a2=output1)
return render(request, 'Recon/set_constraints.html', context)
if filename == "2AMADPTm.lp":
gurobi = gurobipy.read(
"/Users/mihaoyang/Desktop/BEProject7/Recon/File/2AMADPTm.lp")
with Capturing() as output:
gurobi.optimize()
model = io.read_sbml_model(
"/Users/mihaoyang/Desktop/BEProject7/Recon/File/Recon2_2.xml")
model.objective = "2AMADPTm"
with Capturing() as output1:
model.summary()
model.optimize().objective_value
context = dict(a1=output, a2=output1)
return render(request, 'Recon/set_constraints.html', context)
if filename == "2HATVLACthc.lp":
gurobi = gurobipy.read(
"/Users/mihaoyang/Desktop/BEProject7/Recon/File/2HATVLACthc.lp"
)
with Capturing() as output:
gurobi.optimize()
model = io.read_sbml_model(
"/Users/mihaoyang/Desktop/BEProject7/Recon/File/Recon2_2.xml")
model.objective = "2HATVLACthc"
with Capturing() as output1:
model.summary()
model.optimize().objective_value
context = dict(a1=output, a2=output1)
return render(request, 'Recon/set_constraints.html', context)
return render(request, 'Recon/set_constraints.html')
def create_test_model(test_pickle=salmonella_pickle):
"""Returns a cobra model for testing. The default model is the up to date
version of the Salmonella enterica Typhimurium LT2 model published in
Thiele et al. 2011 BMC Sys Bio 5:8
test_pickle: The complete file name of a pickled cobra.Model or SBML XML
file to be read. We currently provide Salmonella enterica Typhimurium
and Escherichia coli models whose paths are stored in cobra.test.salmonella_pickle
and cobra.test.ecoli_pickle, respectively. The ecoli model is a variant of the
model published in Orth et al. 2011 Mol Syst Biol 7:535
"""
from os import name as __name
try:
from cPickle import load
except:
from pickle import load
try:
with open(test_pickle, "rb") as infile:
model = load(infile)
except:
#if the pickle can't be loaded then load the sbml xml
from warnings import warn
warn("Couldn't load %s. Loading the default model %s instead" %
(test_pickle, salmonella_sbml))
sys.path.insert(0, cobra_location)
from cobra.io import read_sbml_model
model = read_sbml_model(salmonella_sbml)
sys.path.pop(0)
return model
def test_notes(tmp_path):
"""Testing if model notes are written in SBML"""
path_to_file = join(str(tmp_path), "model_notes.xml")
# making a minimal cobra model to test notes
model = cobra.Model("e_coli_core")
model.notes["Remark"] = "...Model Notes..."
met = cobra.Metabolite("pyr_c", compartment="c")
model.add_metabolites([met])
met.notes["Remark"] = "Note with \n newline"
rxn = cobra.Reaction("R_ATPM")
model.add_reactions([rxn])
rxn.notes["Remark"] = "What about me?"
model.objective_direction = "max"
model.objective = rxn
write_sbml_model(model, path_to_file)
# reading the model back
model_after_reading = read_sbml_model(path_to_file)
met_after_reading = model_after_reading.metabolites.get_by_id("pyr_c")
reaction_after_reading = model_after_reading.reactions.get_by_id("R_ATPM")
# checking if notes are written to model
assert model_after_reading.notes["Remark"] == "...Model Notes..."
# checking notes for metabolite and reaction
assert met_after_reading.notes["Remark"] == "Note with \n newline"
assert reaction_after_reading.notes["Remark"] == "What about me?"
def test_boundary_conditions(data_directory):
"""Test infinity bound example. """
sbml_path1 = join(data_directory, "fbc_ex1.xml")
model1 = read_sbml_model(sbml_path1)
sol1 = model1.optimize()
# model with species boundaryCondition==True
sbml_path2 = join(data_directory, "fbc_ex2.xml")
model2 = read_sbml_model(sbml_path2)
sol2 = model2.optimize()
r = model2.reactions.get_by_id("EX_X")
assert r.lower_bound == -float("Inf")
assert r.upper_bound == float("Inf")
assert sol1.objective_value == sol2.objective_value
def report(ref_model_path,library_folder,outfolder):
ref_model = read_sbml_model(ref_model_path)
table, reactions_matrix, metabolite_matrix, gene_matrix = Summary.report_make_table(library_folder, ref_model)
table, R_pw_diff, M_pw_diff, G_pw_diff = Summary.report_clustering_plots(table ,
reactions_matrix,
metabolite_matrix,
gene_matrix,
outfolder)
'''
R_pw_sim = Summary.PW_similarity(reactions_matrix)
M_pw_sim = Summary.PW_similarity(metabolite_matrix)
G_pw_sim = Summary.PW_similarity(gene_matrix)
R_PW = Summary.merge_PW_df(R_pw_sim, R_pw_diff)
M_PW = Summary.merge_PW_df(M_pw_sim, M_pw_diff)
G_PW = Summary.merge_PW_df(G_pw_sim, G_pw_diff)
Summary.heat(R_PW, outfolder +'/reactions_PW.png')
Summary.heat(M_PW ,outfolder +'/metabolites_PW.png')
Summary.heat(G_PW, outfolder +'/genes_PW.png' )
'''
Summary.table_as_png(table, outfolder +'/library_sumary.png')
return table
def knockout_reactions_for_genes(model_path: Path,
genes=None) -> Dict[str, List[str]]:
"""Calculate mapping of genes to affected reactions.
Which reactions are knocked out by a given gene.
A single gene knockout can affect multiple reactions.
Uses GPR mappings.
"""
model = read_sbml_model(str(model_path),
f_replace={}) # type: cobra.core.Model
if genes is None:
genes = model.genes
knockout_reactions = defaultdict(list)
for reaction in model.reactions: # type: cobra.core.Reaction
gpr = reaction.gene_reaction_rule
tree, gpr_genes = cobra.core.gene.parse_gpr(gpr)
for gene in genes: # type: cobra.core.Gene
if gene.id not in gpr_genes:
gene_essential = False
else:
# eval_gpr: True if the gene reaction rule is true with
# the given knockouts otherwise false
gene_essential = not cobra.core.gene.eval_gpr(
tree, knockouts={gene.id})
if gene_essential:
knockout_reactions[gene.id].append(reaction.id)
# from pprint import pprint
# pprint(knockout_reactions)
return knockout_reactions
def test_get_mw(self):
'''Tests get_mw method.'''
curr_dir = os.path.dirname(os.path.realpath(__file__))
model = read_sbml_model(
os.path.join(curr_dir, '../../../data/models/yeastGEM.xml'))
tests = 0
while tests < 10:
met = random.choice(model.metabolites)
# met = model.metabolites.get_by_id('s_3071__91__lp__93__')
print(met.id, met.name)
# Get existing formula and mw:
formula = met.formula
if formula:
existing_mw = get_molecular_mass(formula, r_mass=2**16)
# Unset formula:
met.formula = None
calc_mw = get_mw(model, met.id)
if calc_mw:
self.assertAlmostEqual(existing_mw, calc_mw, 0)
tests += 1
# Reset formula:
met.formula = formula
def test_model_history(tmp_path):
"""Testing reading and writing of ModelHistory."""
model = Model("test")
model._sbml = {
"creators": [{
"familyName": "Mustermann",
"givenName": "Max",
"organisation": "Muster University",
"email": "*****@*****.**",
}]
}
sbml_path = join(str(tmp_path), "test.xml")
with open(sbml_path, "w") as f_out:
write_sbml_model(model, f_out)
with open(sbml_path, "r") as f_in:
model2 = read_sbml_model(f_in)
assert "creators" in model2._sbml
assert len(model2._sbml["creators"]) is 1
c = model2._sbml["creators"][0]
assert c["familyName"] == "Mustermann"
assert c["givenName"] == "Max"
assert c["organisation"] == "Muster University"
assert c["email"] == "*****@*****.**"
def _load_model_from_file(path, handle):
"""Try to parse a model from a file handle using different encodings."""
logger.debug('Reading file from %s assuming pickled model.' % path)
try:
model = pickle.load(handle)
except (TypeError, pickle.UnpicklingError):
logger.debug('Cannot unpickle %s. Assuming json model next.' % path)
try:
model = load_json_model(path)
except ValueError:
logger.debug(
"Cannot import %s as json model. Assuming sbml model next." %
path)
try:
model = read_sbml_model(path)
except AttributeError as e:
logger.error(
"cobrapy doesn't raise a proper exception if a file does not contain an SBML model"
)
raise e
except Exception as e:
logger.error(
"Looks like something blow up while trying to import {} as a SBML model."
"Try validating the model at http://sbml.org/Facilities/Validator/ to get more information."
.format(path))
raise e
return model
def test_sbml_read(self):
## with catch_warnings(record=True) as w:
model = io.read_sbml_model(test_sbml_file)
self.assertEqual(len(model.reactions), len(self.model.reactions))
# make sure that an error is raised when given a nonexistent file
self.assertRaises(IOError, io.read_sbml_model,
"fake_file_which_does_not_exist")
def load_model_from_file(filename):
""" Load a model from a file based on the extension of the file name.
Parameters
----------
filename : str
Path to model file
Returns
-------
cobra.core.Model
Model object loaded from file
Raises
------
IOError
If model file extension is not supported.
"""
(root, ext) = splitext(filename)
if ext == '.mat':
model = load_matlab_model(filename)
elif ext == '.xml' or ext == '.sbml':
model = read_sbml_model(filename)
elif ext == '.json':
model = load_json_model(filename)
else:
raise IOError(
'Model file extension not supported for {0}'.format(filename))
return model
def create_cobra_model_from_agora_model(agora_name, validate=False):
""" Create a COBRA model from an AGORA model.
Parameters
----------
agora_name: str
Name of AGORA model
validate : bool, optional
When True, perform validity checks on COBRA model
Returns
-------
cobra.Model
COBRA model created from SBML representation of AGORA model
"""
# Download the SBML file.
response = requests.get('{0}AGORA/sbml/{1}.xml'.format(vmh_url, agora_name))
if response.status_code != requests.codes.OK:
response.raise_for_status()
# Convert to a cobra.Model object.
with io.BytesIO(response.content) as f:
model = read_sbml_model(f)
# If requested, validate the COBRA model.
if validate:
warn('Coming soon')
return model
def test_build_minimal_medium(self):
# Load regular data
cobra_model = None
with NamedTemporaryFile(dir=self.temp_d, delete=False) as tempf:
self.rpsbml.write_to_file(tempf.name)
cobra_model=cobra_io.read_sbml_model(tempf.name, use_fbc_package=True)
cobra_solution = cobra_model.optimize()
df1 = build_minimal_medium(
model=cobra_model,
solution=cobra_solution
)
df2 = build_minimal_medium(
model=cobra_model
)
# Return values.
self.assertIsInstance(
df1,
pd.DataFrame
)
# Values
self.assertEqual(
df2.shape[1],
2
)
# Close.
tempf.close()
remove(tempf.name)
def test_convert_ids(test_model):
model_in = read_sbml_model(test_model[0]['path'])
model_in.id = 'A bad id'
model_in.description = 'throw away'
model_in.add_reaction(Reaction('DADA'))
model_in.reactions.get_by_id('DADA').add_metabolites({
Metabolite('dad_DASH_2_c'): -1
})
returned, old_ids = convert_ids(model_in.copy())
assert returned.id == 'A_bad_id'
assert returned.description == 'A_bad_id'
assert 'dad_2_c' in returned.metabolites
assert 'dad_2_c' in [x.id for x in returned.reactions.get_by_id('DADA').metabolites]
assert ('dad_2_c', 'dad_DASH_2_c') in old_ids['metabolites'].items()
assert ('EX_gln__L_e', 'EX_gln_L_e') in old_ids['reactions'].items()
# genes
assert 'gene_with_period_AT22' in [x.id for x in returned.genes]
assert returned.reactions.get_by_id('FRD7').gene_reaction_rule == model_in.reactions.get_by_id('FRD7').gene_reaction_rule.replace('.22', '_AT22').replace('.12', '_AT12')
assert old_ids['genes']['gene_with_period_AT22'] == 'gene_with_period.22'
assert len(returned.genes) == len(model_in.genes)
assert ['.22' not in x.id for x in returned.genes]
assert ['.22' not in x.gene_reaction_rule for x in returned.reactions]
def test_boundary_conditions(data_directory):
"""Test infinity bound example. """
sbml_path1 = join(data_directory, "fbc_ex1.xml")
model1 = read_sbml_model(sbml_path1)
sol1 = model1.optimize()
# model with species boundaryCondition==True
sbml_path2 = join(data_directory, "fbc_ex2.xml")
model2 = read_sbml_model(sbml_path2)
sol2 = model2.optimize()
r = model2.reactions.get_by_id("EX_X")
assert r.lower_bound == config.lower_bound
assert r.upper_bound == config.upper_bound
assert sol1.objective_value == sol2.objective_value
def test_global_eff(self):
# Load regular data
expected_medium = {
'EX_MNXM83': 2000.0,
'EX_pi_e': 2000.0,
'EX_fe3_e': 1000.0
}
specie_missing_id = 'MNXM83'
medium = load_medium_file(os_path.join(self.medium_path, 'medium.fmt.c.csv'))
medium = crossref_medium_id(
df=medium,
model=self.rpsbml,
compartment_id='MNXC2'
)
exchange = self.rpsbml.build_exchange_reaction('c')
df = merge_medium_exchange(
medium = medium,
exchange_reaction = exchange
)
rpsbml = add_missing_specie(
self.rpsbml,
df,
'c'
)
cobra_model = None
with NamedTemporaryFile(dir=self.temp_d, delete=False) as tempf:
rpsbml.write_to_file(tempf.name)
cobra_model=cobra_io.read_sbml_model(tempf.name, use_fbc_package=True)
cobra_model.medium = df_to_medium(df)
self.assertEqual(
cobra_model.medium,
expected_medium
)
tempf.close()
remove(tempf.name)
def create_test_model(test_pickle=salmonella_pickle):
"""Returns a cobra model for testing. The default model is the up to date
version of the Salmonella enterica Typhimurium LT2 model published in
Thiele et al. 2011 BMC Sys Bio 5:8
test_pickle: The complete file name of a pickled cobra.Model or SBML XML
file to be read. We currently provide Salmonella enterica Typhimurium
and Escherichia coli models whose paths are stored in cobra.test.salmonella_pickle
and cobra.test.ecoli_pickle, respectively. The ecoli model is a variant of the
model published in Orth et al. 2011 Mol Syst Biol 7:535
"""
from os import name as __name
try:
from cPickle import load
except:
from pickle import load
try:
with open(test_pickle, "rb") as infile:
model = load(infile)
except:
#if the pickle can't be loaded then load the sbml xml
from warnings import warn
warn("Couldn't load %s. Loading the default model %s instead"%(test_pickle,
salmonella_sbml))
sys.path.insert(0, cobra_location)
from cobra.io import read_sbml_model
model = read_sbml_model(salmonella_sbml)
sys.path.pop(0)
return model
def cameo_optim(isMultiProc, size):
model = read_sbml_model(SBML_FILE)
obj = biomass_product_coupled_yield(
model.reactions.Ec_biomass_iAF1260_core_59p81M,
model.reactions.EX_succ_e_, model.reactions.EX_glc_e_)
ko = ReactionKnockoutOptimization(model=model,
objective_function=obj,
use_nullspace_simplification=False)
if isMultiProc:
res = ko.run(pop_size=100,
max_generations=1,
max_size=size,
crossover_rate=0.9,
mutation_rate=0.1,
indel_rate=0.185,
view=MultiprocessingView(processes=2))
else:
res = ko.run(pop_size=100,
max_generations=1,
max_size=size,
crossover_rate=0.9,
mutation_rate=0.1,
indel_rate=0.185)
res.data_frame.to_csv(basePath + "Results/optim_Ec_iAF1260_ko_cameo.csv")
def test_2():
"""Example of evaluation of RECON1 GPRs
"""
from urllib.request import urlretrieve
from cobra.io import read_sbml_model
import random
path, _ = urlretrieve('http://bigg.ucsd.edu/static/models/RECON1.xml')
model = read_sbml_model(path)
ogpr = model.reactions.ATPS4m.gene_name_reaction_rule
gpr = ogpr
print(gpr)
t = build_tree(gpr, Boolean)
print(t)
genes = list(t.get_operands())
print("GENES:\n", genes)
print("Evaluations:")
evaluator = BooleanEvaluator(genes)
res = t.evaluate(evaluator.f_operand, evaluator.f_operator)
print(evaluator.true_list, " ==> ", res)
for _ in range(20):
g = []
n = random.randint(1, len(genes))
for _ in range(n):
i = random.randint(0, len(genes) - 1)
g.append(genes[i])
evaluator.set_true_list(g)
res = t.evaluate(evaluator.f_operand, evaluator.f_operator)
print(evaluator.true_list, " ==> ", res)
def test_is_boundary_type(self):
# TODO: implement test which doesn't account abount SBO terms, to see how compartment_id ... are managed
# Load.
rpsbml_ecoli = rpSBML(inFile=self.rpsbml_ecoli_path,
logger=self.logger)
reactions = rpsbml_ecoli.getModel().getListOfReactions()
cobra_model = cobra_io.read_sbml_model(self.rpsbml_ecoli_path,
use_fbs_package=True)
# Return type.
self.assertIsInstance(
rpsbml_ecoli.is_boundary_type(reactions[0], 'exchange', ''), bool)
# Exchange.
rpsbml_exchange = [
x for x in reactions
if rpsbml_ecoli.is_boundary_type(x, 'exchange', 'e')
]
self.assertEqual(len(cobra_model.exchanges), len(rpsbml_exchange))
rpsbml_exchange = [
x for x in reactions
if rpsbml_ecoli.is_boundary_type(x, 'exchange', '')
]
self.assertEqual(len(cobra_model.exchanges), len(rpsbml_exchange))
# Demand.
rpsbml_demands = [
x for x in reactions
if rpsbml_ecoli.is_boundary_type(x, 'demand', '')
]
self.assertEqual(len(cobra_model.demands), len(rpsbml_demands))
# Sinks.
rpsbml_sinks = [
x for x in reactions
if rpsbml_ecoli.is_boundary_type(x, 'sink', '')
]
self.assertEqual(len(cobra_model.sinks), len(rpsbml_sinks))
def _load_model(self, file_storage):
try:
filename, content = self._decompress(file_storage.filename.lower(),
file_storage)
except IOError as err:
msg = "Failed to decompress file."
LOGGER.exception(msg)
api.abort(400, msg, error=str(err))
try:
if file_storage.mimetype in self.JSON_TYPES or \
filename.endswith("json"):
LOGGER.debug("Loading model from JSON.")
model = load_json_model(content)
elif file_storage.mimetype in self.XML_TYPES or \
filename.endswith("xml") or filename.endswith("sbml"):
LOGGER.debug("Loading model from SBML.")
model = read_sbml_model(content)
else:
msg = f"'{file_storage.mimetype}' is an unhandled MIME type."
LOGGER.error(msg)
api.abort(415, msg, recognizedMIMETypes=list(chain(
self.JSON_TYPES, self.XML_TYPES)))
except (CobraSBMLError, ValueError) as err:
msg = "Failed to parse model."
LOGGER.exception(msg)
api.abort(400, msg, error=str(err))
finally:
content.close()
file_storage.close()
return model
def test_model_history(tmp_path):
"""Testing reading and writing of ModelHistory."""
model = Model("test")
model._sbml = {
"creators": [{
"familyName": "Mustermann",
"givenName": "Max",
"organisation": "Muster University",
"email": "*****@*****.**",
}]
}
sbml_path = join(str(tmp_path), "test.xml")
with open(sbml_path, "w") as f_out:
write_sbml_model(model, f_out)
with open(sbml_path, "r") as f_in:
model2 = read_sbml_model(f_in)
assert "creators" in model2._sbml
assert len(model2._sbml["creators"]) is 1
c = model2._sbml["creators"][0]
assert c["familyName"] == "Mustermann"
assert c["givenName"] == "Max"
assert c["organisation"] == "Muster University"
assert c["email"] == "*****@*****.**"
def _removeDeadEnd(sbml_path):
cobraModel = cobra_io.read_sbml_model(sbml_path, use_fbc_package=True)
cobraModel = _reduce_model(cobraModel)
with TemporaryDirectory() as tmpOutputFolder:
cobra_io.write_sbml_model(cobraModel,
os_path.join(tmpOutputFolder, 'tmp.xml'))
rpsbml = rpSBML(os_path.join(tmpOutputFolder, 'tmp.xml'))
return rpsbml
def model(model=None):
if model is None:
path = os.path.join(os.path.dirname(__file__),
REPO_PATH + "/model/Sco-GEM.xml")
print("Loading model {0}".format(path))
return read_sbml_model(path)
else:
return model
def _summarize_models(args):
tid, row, new_path = args
files = row["file"].split("|")
if len(files) > 1:
mod = join_models(files, id=tid)
else:
mod = read_sbml_model(files[0])
save_json_model(mod, new_path)
def model():
path = os.path.join(os.path.dirname(__file__), REPO_PATH + "/model/Sco-GEM.xml")
model = read_sbml_model(path)
try:
model.solver = SOLVER
except:
pass
return model
def _summarize_models(args):
tid, row, new_path, folder = args
files = [path.join(folder, r) for r in row["file"].split("|")]
if len(files) > 1:
mod = join_models(files, id=tid)
save_json_model(mod, new_path)
else:
mod = read_sbml_model(path.join(folder, row["file"]))
save_json_model(mod, new_path)
def get_model_from_uminho(query, index, host="http://darwin.di.uminho.pt/models", solver_interface=optlang,
sanitize=True):
model_index = index[index["name"] == query]['id'].values[0]
sbml_file = get_sbml_file(model_index, host)
sbml_file.close()
model = read_sbml_model(sbml_file.name)
model.solver = solver_interface
if sanitize:
sanitize_ids(model)
return model
def test_groups(data_directory, tmp_path):
"""Testing reading and writing of groups"""
sbml_path = join(data_directory, "e_coli_core.xml")
model = read_sbml_model(sbml_path)
assert model.groups is not None
assert len(model.groups) == 10
g1 = model.groups[0]
assert len(g1.members) == 6
temp_path = join(str(tmp_path), "test.xml")
with open(temp_path, "w") as f_out:
write_sbml_model(model, f_out)
with open(temp_path, "r") as f_in:
model2 = read_sbml_model(f_in)
assert model2.groups is not None
assert len(model2.groups) == 10
g1 = model2.groups[0]
assert len(g1.members) == 6
def test_infinity_bounds(data_directory, tmp_path):
"""Test infinity bound example. """
sbml_path = join(data_directory, "fbc_ex1.xml")
model = read_sbml_model(sbml_path)
# check that simulation works
solution = model.optimize()
# check that values are set
r = model.reactions.get_by_id("EX_X")
assert r.lower_bound == -float("Inf")
assert r.upper_bound == float("Inf")
temp_path = join(str(tmp_path), "test.xml")
with open(temp_path, "w") as f_out:
write_sbml_model(model, f_out)
with open(temp_path, "r") as f_in:
model2 = read_sbml_model(f_in)
r = model2.reactions.get_by_id("EX_X")
assert r.lower_bound == -float("Inf")
assert r.upper_bound == float("Inf")
def create_test_model(model_name="salmonella"):
"""Returns a cobra model for testing
model_name: str
One of 'ecoli', 'textbook', or 'salmonella', or the
path to a pickled cobra.Model
"""
if model_name == "ecoli":
ecoli_sbml = join(data_dir, "iJO1366.xml")
return read_sbml_model(ecoli_sbml)
elif model_name == "textbook":
textbook_sbml = join(data_dir, "textbook.xml.gz")
return read_sbml_model(textbook_sbml)
elif model_name == "mini":
mini_sbml = join(data_dir, "mini_fbc2.xml")
return read_sbml_model(mini_sbml)
elif model_name == "salmonella":
salmonella_pickle = join(data_dir, "salmonella.pickle")
model_name = salmonella_pickle
with open(model_name, "rb") as infile:
return _load(infile)
def test_model():
"""Gets a small test model.
Returns a small test model for the central carbon metabolism.
Args:
None:
Returns:
cobra model: A model of the central carbon metabolism.
"""
from os.path import split, join
from cobra.io import read_sbml_model
this_dir, _ = split(__file__)
data_path = join(this_dir, "data", "cemet.xml")
return read_sbml_model(data_path)
def load_cobra_model(path, notifications):
"""Load a COBRA model with meta information from an SBML document."""
doc = libsbml.readSBML(path)
fbc = doc.getPlugin("fbc")
sbml_ver = doc.getLevel(), doc.getVersion(), fbc if fbc is None else \
fbc.getVersion()
with catch_warnings(record=True) as warnings:
simplefilter("always")
try:
model = read_sbml_model(path)
except Exception as err:
notifications['errors'].append(str(err))
model = None
validate = True
else:
validate = False
notifications['warnings'].extend([str(w.message) for w in warnings])
if validate:
run_sbml_validation(doc, notifications)
return model, sbml_ver
def _load_model_from_file(path, handle):
"""Try to parse a model from a file handle using different encodings."""
logger.debug('Reading file from %s assuming pickled model.' % path)
try:
model = pickle.load(handle)
except (TypeError, pickle.UnpicklingError):
logger.debug('Cannot unpickle %s. Assuming json model next.' % path)
try:
model = load_json_model(path)
except ValueError:
logger.debug("Cannot import %s as json model. Assuming sbml model next." % path)
try:
model = read_sbml_model(path)
except AttributeError as e:
logger.error("cobrapy doesn't raise a proper exception if a file does not contain an SBML model")
raise e
except Exception as e:
logger.error(
"Looks like something blow up while trying to import {} as a SBML model."
"Try validating the model at http://sbml.org/Facilities/Validator/ to get more information.".format(
path))
raise e
return model
try:
from cPickle import load, dump
except:
from pickle import load, dump
from json import dump as json_dump
from collections import OrderedDict
import cobra
from cobra.version import get_version
from cobra.io import read_sbml_model, write_sbml_model, save_matlab_model, \
save_json_model
from cobra.io.sbml3 import write_sbml2
# ecoli
ecoli_model = read_sbml_model("iJO1366.xml")
with open("iJO1366.pickle", "wb") as outfile:
dump(ecoli_model, outfile, protocol=2)
# salmonella
salmonella = read_sbml_model("salmonella.xml")
with open("salmonella.genes", "rb") as infile:
gene_names = load(infile)
for gene in salmonella.genes:
gene.name = gene_names[gene.id]
with open("salmonella.media", "rb") as infile:
salmonella.media_compositions = load(infile)
with open("salmonella.pickle", "wb") as outfile:
dump(salmonella, outfile, protocol=2)
# create mini model from textbook
else:
builder.display_in_browser()
except ImportError:
print("Escher must be installed in order to visualize maps")
if __name__ == '__main__':
import time
from cobra.io import read_sbml_model
from cameo import load_model
# sbml_path = '../../tests/data/EcoliCore.xml'
sbml_path = '../../tests/data/iJO1366.xml'
cb_model = read_sbml_model(sbml_path)
model = load_model(sbml_path)
# model.solver = 'glpk'
# print("cobra fba")
# tic = time.time()
# cb_model.optimize(solver='cglpk')
# print("flux sum:", sum([abs(val) for val in list(cb_model.solution.fluxes.values())]))
# print("cobra fba runtime:", time.time() - tic)
# print("cobra pfba")
# tic = time.time()
# optimize_minimal_flux(cb_model, solver='cglpk')
# print("flux sum:", sum([abs(val) for val in list(cb_model.solution.fluxes.values())]))
# print("cobra pfba runtime:", time.time() - tic)
import sys, re, os, glob
from cobra.core import Model
from cobra.io import read_sbml_model,write_sbml_model
folder = sys.argv[1]
metamodel_id = sys.argv[2]
assert os.path.isdir(folder)
metamodel = Model(metamodel_id)
metamodel.description = metamodel_id
reactions = set()
models = []
for fname in glob.glob(os.path.join(folder,"*.xml")):
model = read_sbml_model(fname)
models.append(model)
print "%s loaded" % model.id
for r in model.reactions:
r.id = re.sub('_[ec][0-9]','',r.id)
if r.id in reactions:
continue
metamodel.add_reaction(r.copy())
reactions.add(r.id)
write_sbml_model(metamodel_id,metamodel)
def load_model(path_or_handle, solver_interface=optlang.glpk_interface, sanitize=True):
"""Read a metabolic model .
Parameters
----------
path_or_handle : path, fhandle or name.
One of:
* file path of a model file;
* file handle to a SBML or pickled model; or
* the identifier of a model in a web database (optflux.org/models)
solver_interface : solver_interface, optional
E.g. optlang.glpk_interface or any other optlang interface.
sanitize : boolean, optional
If reaction and metabolite IDs should be sanitized (works only for SBML models).
"""
if isinstance(path_or_handle, str):
path = path_or_handle
try:
handle = open(path_or_handle, 'rb')
except IOError:
logger.debug('%s not a file path. Querying webmodels ... trying http://bigg.ucsd.edu first' % path)
try:
return cameo.models.webmodels.get_model_from_bigg(path)
except:
logger.debug('%s not a file path. Querying webmodels ... trying minho next' % path)
try:
df = cameo.models.webmodels.index_models_minho()
except requests.ConnectionError as e:
logger.error("You need to be connected to the internet to load an online model.")
raise e
except Exception as e:
logger.error("Something went wrong while looking up available webmodels.")
raise e
try:
index = df.query('name == "%s"' % path_or_handle).id.values[0]
handle = cameo.models.webmodels.get_sbml_file(index)
path = handle.name
except IndexError:
raise ValueError("%s is neither a file nor a model ID." % path)
elif hasattr(path_or_handle, 'read'):
path = path_or_handle.name
handle = path_or_handle
else:
raise ValueError('Provided argument %s has to be either a file path or handle' % path_or_handle)
logger.debug('Reading file from %s assuming pickled model.' % path)
try:
model = pickle.load(handle)
except Exception:
logger.debug('Cannot unpickle %s. Assuming json model next.' % path)
try:
model = load_json_model(path)
except Exception:
logger.debug("Cannot import %s as json model. Assuming sbml model next." % path)
try:
model = read_sbml_model(path)
except AttributeError as e:
logger.error("cobrapy doesn't raise a proper exception if a file does not contain an SBML model")
raise e
except Exception as e:
logger.error(
"Looks like something blow up while trying to import {} as a SBML model. Try validating the model at http://sbml.org/Facilities/Validator/ to get more information.".format(
path))
raise e
if sanitize:
sanitize_ids(model)
if not isinstance(model, SolverBasedModel):
if solver_interface is not None:
logger.debug("Changing solver interface to %s" % solver_interface)
model = to_solver_based_model(model, solver_interface=solver_interface)
else:
if model.interface is not solver_interface and solver_interface is not None:
logger.debug("Changing solver interface to %s" % solver_interface)
model.solver = solver_interface
return model
def get_model_from_uminho(index, host="http://darwin.di.uminho.pt/models"):
sbml_file = get_sbml_file(index, host)
sbml_file.close()
return to_solver_based_model(read_sbml_model(sbml_file.name))
ax2.plot(df.time, 1E6*df.ATPPROD)
ax2.set_ylabel("reaction rate 1E-6[mmole/s]")
for ax in (ax1, ax2):
ax.legend()
ax.set_xlabel("time [s]")
plt.show()
f.savefig("./results/{}_{}_roadrunner.png".format(model.mid, model.version), bbox_inches="tight")
# -----------------------------------------------------------------------------
# fba simulation
# -----------------------------------------------------------------------------
model = read_sbml_model(tiny_sbml)
print(model)
# Iterate through the the objects in the model
print("Reactions")
print("---------")
for x in model.reactions:
print("%s : %s [%s<->%s]" % (x.id, x.reaction, x.lower_bound, x.upper_bound))
print("")
print("Metabolites")
print("-----------")
for x in model.metabolites:
print('%9s (%s) : %s, %s, %s' % (x.id, x.compartment, x.formula, x.charge, x.annotation))
def test_sbml_error(data_directory):
filename = join(data_directory, "invalid0.xml")
with pytest.raises(io.sbml3.CobraSBMLError):
io.read_sbml_model(filename)
reaction_table = read_seed_table(reactions_tab_file)
compounds_table = read_seed_table(compounds_tab_file)
######################################################
# PREPARE THE MODEL #
######################################################
if len(sys.argv) < 2:
print "Error: no SBML file name supplied"
sys.exit(1)
else:
model_file = sys.argv[1]
try:
model = read_sbml_model(model_file)
except:
print "Invalid SBML for file %s" % model_file
usage()
sys.exit(1)
if len(sys.argv) >= 3:
output_folder = sys.argv[2]
if not os.path.isdir(output_folder):
print "Invalid output folder %s" % output_folder
usage()
sys.exit(1)
else:
output_folder = "./"
import pandas
from sympy import Eq
from cameo import load_model, Reaction, Model
from cameo.config import solvers
from cameo.exceptions import UndefinedSolution
from cameo.core.solver_based_model import Reaction
from cameo.util import TimeMachine
import six
TRAVIS = os.getenv('TRAVIS', False)
TESTDIR = os.path.dirname(__file__)
REFERENCE_FVA_SOLUTION_ECOLI_CORE = pandas.read_csv(os.path.join(TESTDIR, 'data/REFERENCE_flux_ranges_EcoliCore.csv'),
index_col=0)
TESTMODEL = load_model(os.path.join(TESTDIR, 'data/EcoliCore.xml'), sanitize=False)
COBRAPYTESTMODEL = read_sbml_model(os.path.join(TESTDIR, 'data/EcoliCore.xml'))
ESSENTIAL_GENES = ['b2779', 'b1779', 'b0720', 'b0451', 'b2416', 'b2926', 'b1136', 'b2415']
ESSENTIAL_REACTIONS = ['GLNS', 'Biomass_Ecoli_core_N_LPAREN_w_FSLASH_GAM_RPAREN__Nmet2', 'PIt2r', 'GAPD', 'ACONTb',
'EX_nh4_LPAREN_e_RPAREN_', 'ENO', 'EX_h_LPAREN_e_RPAREN_', 'EX_glc_LPAREN_e_RPAREN_', 'ICDHyr',
'CS', 'NH4t', 'GLCpts', 'PGM', 'EX_pi_LPAREN_e_RPAREN_', 'PGK', 'RPI', 'ACONTa']
class WrappedCommonGround:
class CommonGround(unittest.TestCase):
def setUp(self):
self.model = TESTMODEL.copy()
self.model.optimize()
class AbstractTestLazySolution(WrappedCommonGround.CommonGround):
def setUp(self):
if len(sys.argv) >= 3:
param_fname = sys.argv[2]
else:
param_fname = './parameters.json'
try:
settings.load_parameters(param_fname)
print "Parameters loaded from %s " % param_fname
except Exception, e:
print "The parameter file %s not found, running with defaul parameter" % param_fname
print str(e)
sys.exit(0)
print "Reading Metamodel", settings.METAMODEL_PATH,
metamodel = read_sbml_model(settings.METAMODEL_PATH)
print " - loaded!"
ec = '^[1-6]\.[0-9][0-9]*\.[0-9][0-9]*'
ECs_rxns = utils.read_ec_numbers(settings.RXN2ECS_PATH)
rxn2ec = {r.id:r.annotation['ec_number'] for r in metamodel.reactions
if re.search(ec,r.annotation['ec_number'])}
######################################################
# PREPARE THE MODEL #
######################################################
try:
model = read_sbml_model(model_file)
print "Model %s loaded" % model.id
def example_model(test_model_files):
return read_sbml_model(test_model_files[0]['path'])
#!/usr/bin/env python
#This script regenerates pickles of cobra Models. Should be
#performed after updating core classes to prevent subtle bugs.
from cPickle import load, dump
from cobra import Model
from cobra.version import get_version
from cobra.io import read_sbml_model, read_legacy_sbml
from cobra.test import create_test_model
model_names = ['salmonella', 'iJO1366', 'Yersinia_pestis_CO92_iPC815']
for model_name in model_names:
model_pickle = model_name + '.pickle'
old_model = create_test_model(model_pickle)
if model_name == "iJO1366":
new_model = read_legacy_sbml(model_name + '.xml')
else:
new_model = read_sbml_model(model_name + '.xml')
[setattr(x, 'name', old_model.genes.get_by_id(x.id).name)
for x in new_model.genes]
if hasattr(old_model, 'media_compositions'):
new_model.media_compositions = old_model.media_compositions
new_model._cobra_version = get_version()
dump(new_model, open(model_pickle, 'w'))
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from cobra.io import read_sbml_model
from optlang import glpk_interface
import inspyred
from cameo.strain_design.heuristic.multiprocess import MultiprocessReactionKnockoutOptimization
from cameo.strain_design.heuristic.objective_functions import biomass_product_coupled_yield
from cameo.flux_analysis.simulation import fba
from cameo.core.solver_based_model import to_solver_based_model
model = read_sbml_model("../tests/data/iJO1366.xml")
model = to_solver_based_model(model, solver_interface=glpk_interface)
of = biomass_product_coupled_yield("Ec_biomass_iJO1366_core_53p95M", "EX_ac_LPAREN_e_RPAREN_",
"EX_glc_LPAREN_e_RPAREN_")
mp = MultiprocessReactionKnockoutOptimization(model=model, heuristic_method=inspyred.ec.GA,
objective_function=of, simulation_method=fba)
mp.run(max_evaluations=300, n=2)
def test_read_sbml_annotations(data_directory):
"""Test reading and writing annotations."""
with open(join(data_directory, "annotation.xml"), "r") as f_in:
model1 = read_sbml_model(f_in)
_check_sbml_annotations(model1)
