def validate_sbml_model(filename,
                        check_model=True,
                        internal_consistency=True,
                        check_units_consistency=False,
                        check_modeling_practice=False, **kwargs):
    """Validate SBML model and returns the model along with a list of errors.

    Parameters
    ----------
    filename : str
        The filename (or SBML string) of the SBML model to be validated.
    internal_consistency: boolean {True, False}
        Check internal consistency.
    check_units_consistency: boolean {True, False}
        Check consistency of units.
    check_modeling_practice: boolean {True, False}
        Check modeling practise.
    check_model: boolean {True, False}
        Whether to also check some basic model properties such as reaction
        boundaries and compartment formulas.

    Returns
    -------
    (model, errors)
    model : :class:`~cobra.core.Model.Model` object
        The cobra model if the file could be read successfully or None
        otherwise.
    errors : dict
        Warnings and errors grouped by their respective types.

    Raises
    ------
    CobraSBMLError
    """
    # Errors and warnings are grouped based on their type. SBML_* types are
    # from the libsbml validator. COBRA_* types are from the cobrapy SBML
    # parser.
    keys = (
        "SBML_FATAL",
        "SBML_ERROR",
        "SBML_SCHEMA_ERROR",
        "SBML_WARNING",

        "COBRA_FATAL",
        "COBRA_ERROR",
        "COBRA_WARNING",
        "COBRA_CHECK",
    )
    errors = {key: [] for key in keys}

    # [1] libsbml validation
    doc = _get_doc_from_filename(filename)  # type: libsbml.SBMLDocument

    # set checking of units & modeling practise
    doc.setConsistencyChecks(libsbml.LIBSBML_CAT_UNITS_CONSISTENCY,
                             check_units_consistency)
    doc.setConsistencyChecks(libsbml.LIBSBML_CAT_MODELING_PRACTICE,
                             check_modeling_practice)

    # check internal consistency
    if internal_consistency:
        doc.checkInternalConsistency()
    doc.checkConsistency()

    for k in range(doc.getNumErrors()):
        e = doc.getError(k)  # type: libsbml.SBMLError
        msg = _error_string(e, k=k)
        sev = e.getSeverity()
        if sev == libsbml.LIBSBML_SEV_FATAL:
            errors["SBML_FATAL"].append(msg)
        elif sev == libsbml.LIBSBML_SEV_ERROR:
            errors["SBML_ERROR"].append(msg)
        elif sev == libsbml.LIBSBML_SEV_SCHEMA_ERROR:
            errors["SBML_SCHEMA_ERROR"].append(msg)
        elif sev == libsbml.LIBSBML_SEV_WARNING:
            errors["SBML_WARNING"].append(msg)

    # [2] cobrapy validation (check that SBML can be read into model)
    # all warnings generated while loading will be logged as errors
    log_stream = StringIO()
    stream_handler = logging.StreamHandler(log_stream)
    formatter = logging.Formatter('%(levelname)s:%(message)s')
    stream_handler.setFormatter(formatter)
    stream_handler.setLevel(logging.INFO)
    LOGGER.addHandler(stream_handler)
    LOGGER.propagate = False

    try:
        # read model and allow additional parser arguments
        model = _sbml_to_model(doc, **kwargs)
    except CobraSBMLError as e:
        errors["COBRA_ERROR"].append(str(e))
        return None, errors
    except Exception as e:
        errors["COBRA_FATAL"].append(str(e))
        return None, errors

    cobra_errors = log_stream.getvalue().split("\n")
    for cobra_error in cobra_errors:
        tokens = cobra_error.split(":")
        error_type = tokens[0]
        error_msg = ":".join(tokens[1:])

        if error_type == "WARNING":
            errors["COBRA_WARNING"].append(error_msg)
        elif error_type == "ERROR":
            errors["COBRA_ERROR"].append(error_msg)

    # remove stream handler
    LOGGER.removeHandler(stream_handler)
    LOGGER.propagate = True

    # [3] additional model tests
    if check_model:
        errors["COBRA_CHECK"].extend(
            check_metabolite_compartment_formula(model)
        )

    for key in ["SBML_FATAL", "SBML_ERROR", "SBML_SCHEMA_ERROR"]:
        if len(errors[key]) > 0:
            LOGGER.error("SBML errors in validation, check error log "
                         "for details.")
            break
    for key in ["SBML_WARNING"]:
        if len(errors[key]) > 0:
            LOGGER.error("SBML warnings in validation, check error log "
                         "for details.")
            break
    for key in ["COBRA_FATAL", "COBRA_ERROR"]:
        if len(errors[key]) > 0:
            LOGGER.error("COBRA errors in validation, check error log "
                         "for details.")
            break
    for key in ["COBRA_WARNING", "COBRA_CHECK"]:
        if len(errors[key]) > 0:
            LOGGER.error("COBRA warnings in validation, check error log "
                         "for details.")
            break

    return model, errors
def validate_sbml_model(filename,
                        check_model=True,
                        internal_consistency=True,
                        check_units_consistency=False,
                        check_modeling_practice=False, **kwargs):
    """Validate SBML model and returns the model along with a list of errors.

    Parameters
    ----------
    filename : str
        The filename (or SBML string) of the SBML model to be validated.
    internal_consistency: boolean {True, False}
        Check internal consistency.
    check_units_consistency: boolean {True, False}
        Check consistency of units.
    check_modeling_practice: boolean {True, False}
        Check modeling practise.
    check_model: boolean {True, False}
        Whether to also check some basic model properties such as reaction
        boundaries and compartment formulas.

    Returns
    -------
    (model, errors)
    model : :class:`~cobra.core.Model.Model` object
        The cobra model if the file could be read successfully or None
        otherwise.
    errors : dict
        Warnings and errors grouped by their respective types.

    Raises
    ------
    CobraSBMLError
    """
    # Errors and warnings are grouped based on their type. SBML_* types are
    # from the libsbml validator. COBRA_* types are from the cobrapy SBML
    # parser.
    keys = (
        "SBML_FATAL",
        "SBML_ERROR",
        "SBML_SCHEMA_ERROR",
        "SBML_WARNING",

        "COBRA_FATAL",
        "COBRA_ERROR",
        "COBRA_WARNING",
        "COBRA_CHECK",
    )
    errors = {key: [] for key in keys}

    # [1] libsbml validation
    doc = _get_doc_from_filename(filename)  # type: libsbml.SBMLDocument

    # set checking of units & modeling practise
    doc.setConsistencyChecks(libsbml.LIBSBML_CAT_UNITS_CONSISTENCY,
                             check_units_consistency)
    doc.setConsistencyChecks(libsbml.LIBSBML_CAT_MODELING_PRACTICE,
                             check_modeling_practice)

    # check internal consistency
    if internal_consistency:
        doc.checkInternalConsistency()
    doc.checkConsistency()

    for k in range(doc.getNumErrors()):
        e = doc.getError(k)  # type: libsbml.SBMLError
        msg = _error_string(e, k=k)
        sev = e.getSeverity()
        if sev == libsbml.LIBSBML_SEV_FATAL:
            errors["SBML_FATAL"].append(msg)
        elif sev == libsbml.LIBSBML_SEV_ERROR:
            errors["SBML_ERROR"].append(msg)
        elif sev == libsbml.LIBSBML_SEV_SCHEMA_ERROR:
            errors["SBML_SCHEMA_ERROR"].append(msg)
        elif sev == libsbml.LIBSBML_SEV_WARNING:
            errors["SBML_WARNING"].append(msg)

    # [2] cobrapy validation (check that SBML can be read into model)
    # all warnings generated while loading will be logged as errors
    log_stream = StringIO()
    stream_handler = logging.StreamHandler(log_stream)
    formatter = logging.Formatter('%(levelname)s:%(message)s')
    stream_handler.setFormatter(formatter)
    stream_handler.setLevel(logging.INFO)
    LOGGER.addHandler(stream_handler)
    LOGGER.propagate = False

    try:
        # read model and allow additional parser arguments
        model = _sbml_to_model(doc, **kwargs)
    except CobraSBMLError as e:
        errors["COBRA_ERROR"].append(str(e))
        return None, errors
    except Exception as e:
        errors["COBRA_FATAL"].append(str(e))
        return None, errors

    cobra_errors = log_stream.getvalue().split("\n")
    for cobra_error in cobra_errors:
        tokens = cobra_error.split(":")
        error_type = tokens[0]
        error_msg = ":".join(tokens[1:])

        if error_type == "WARNING":
            errors["COBRA_WARNING"].append(error_msg)
        elif error_type == "ERROR":
            errors["COBRA_ERROR"].append(error_msg)

    # remove stream handler
    LOGGER.removeHandler(stream_handler)
    LOGGER.propagate = True

    # [3] additional model tests
    if check_model:
        errors["COBRA_CHECK"].extend(
            check_metabolite_compartment_formula(model)
        )

    for key in ["SBML_FATAL", "SBML_ERROR", "SBML_SCHEMA_ERROR"]:
        if len(errors[key]) > 0:
            LOGGER.error("SBML errors in validation, check error log "
                         "for details.")
            break
    for key in ["SBML_WARNING"]:
        if len(errors[key]) > 0:
            LOGGER.error("SBML warnings in validation, check error log "
                         "for details.")
            break
    for key in ["COBRA_FATAL", "COBRA_ERROR"]:
        if len(errors[key]) > 0:
            LOGGER.error("COBRA errors in validation, check error log "
                         "for details.")
            break
    for key in ["COBRA_WARNING", "COBRA_CHECK"]:
        if len(errors[key]) > 0:
            LOGGER.error("COBRA warnings in validation, check error log "
                         "for details.")
            break

    return model, errors
def validate_sbml_model ( filename , check_model = True , internal_consistency = True , check_units_consistency = False , check_modeling_practice = False , * * kwargs ) : # Errors and warnings are grouped based on their type. SBML_* types are # from the libsbml validator. COBRA_* types are from the cobrapy SBML # parser. keys = ( "SBML_FATAL" , "SBML_ERROR" , "SBML_SCHEMA_ERROR" , "SBML_WARNING" , "COBRA_FATAL" , "COBRA_ERROR" , "COBRA_WARNING" , "COBRA_CHECK" , ) errors = { key : [ ] for key in keys } # [1] libsbml validation doc = _get_doc_from_filename ( filename ) # type: libsbml.SBMLDocument # set checking of units & modeling practise doc . setConsistencyChecks ( libsbml . LIBSBML_CAT_UNITS_CONSISTENCY , check_units_consistency ) doc . setConsistencyChecks ( libsbml . LIBSBML_CAT_MODELING_PRACTICE , check_modeling_practice ) # check internal consistency if internal_consistency : doc . checkInternalConsistency ( ) doc . checkConsistency ( ) for k in range ( doc . getNumErrors ( ) ) : e = doc . getError ( k ) # type: libsbml.SBMLError msg = _error_string ( e , k = k ) sev = e . getSeverity ( ) if sev == libsbml . LIBSBML_SEV_FATAL : errors [ "SBML_FATAL" ] . append ( msg ) elif sev == libsbml . LIBSBML_SEV_ERROR : errors [ "SBML_ERROR" ] . append ( msg ) elif sev == libsbml . LIBSBML_SEV_SCHEMA_ERROR : errors [ "SBML_SCHEMA_ERROR" ] . append ( msg ) elif sev == libsbml . LIBSBML_SEV_WARNING : errors [ "SBML_WARNING" ] . append ( msg ) # [2] cobrapy validation (check that SBML can be read into model) # all warnings generated while loading will be logged as errors log_stream = StringIO ( ) stream_handler = logging . StreamHandler ( log_stream ) formatter = logging . Formatter ( '%(levelname)s:%(message)s' ) stream_handler . setFormatter ( formatter ) stream_handler . setLevel ( logging . INFO ) LOGGER . addHandler ( stream_handler ) LOGGER . propagate = False try : # read model and allow additional parser arguments model = _sbml_to_model ( doc , * * kwargs ) except CobraSBMLError as e : errors [ "COBRA_ERROR" ] . append ( str ( e ) ) return None , errors except Exception as e : errors [ "COBRA_FATAL" ] . append ( str ( e ) ) return None , errors cobra_errors = log_stream . getvalue ( ) . split ( "\n" ) for cobra_error in cobra_errors : tokens = cobra_error . split ( ":" ) error_type = tokens [ 0 ] error_msg = ":" . join ( tokens [ 1 : ] ) if error_type == "WARNING" : errors [ "COBRA_WARNING" ] . append ( error_msg ) elif error_type == "ERROR" : errors [ "COBRA_ERROR" ] . append ( error_msg ) # remove stream handler LOGGER . removeHandler ( stream_handler ) LOGGER . propagate = True # [3] additional model tests if check_model : errors [ "COBRA_CHECK" ] . extend ( check_metabolite_compartment_formula ( model ) ) for key in [ "SBML_FATAL" , "SBML_ERROR" , "SBML_SCHEMA_ERROR" ] : if len ( errors [ key ] ) > 0 : LOGGER . error ( "SBML errors in validation, check error log " "for details." ) break for key in [ "SBML_WARNING" ] : if len ( errors [ key ] ) > 0 : LOGGER . error ( "SBML warnings in validation, check error log " "for details." ) break for key in [ "COBRA_FATAL" , "COBRA_ERROR" ] : if len ( errors [ key ] ) > 0 : LOGGER . error ( "COBRA errors in validation, check error log " "for details." ) break for key in [ "COBRA_WARNING" , "COBRA_CHECK" ] : if len ( errors [ key ] ) > 0 : LOGGER . error ( "COBRA warnings in validation, check error log " "for details." ) break return model , errors
Validate SBML model and returns the model along with a list of errors.

    Parameters
    ----------
    filename : str
        The filename (or SBML string) of the SBML model to be validated.
    internal_consistency: boolean {True, False}
        Check internal consistency.
    check_units_consistency: boolean {True, False}
        Check consistency of units.
    check_modeling_practice: boolean {True, False}
        Check modeling practise.
    check_model: boolean {True, False}
        Whether to also check some basic model properties such as reaction
        boundaries and compartment formulas.

    Returns
    -------
    (model, errors)
    model : :class:`~cobra.core.Model.Model` object
        The cobra model if the file could be read successfully or None
        otherwise.
    errors : dict
        Warnings and errors grouped by their respective types.

    Raises
    ------
    CobraSBMLError
Validate SBML model and returns the model along with a list of errors .