Python dbm.error方法代碼示例

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def populate_molecules_dict(self):
        # Shelve creates a file with specific database. Using a temp file requires a workaround to open it.
        t_filename = tempfile.NamedTemporaryFile(delete=True).name
        # dbm could not work: Eg. dbm.error: cannot add item.
        # Use dumbdbm for the local execution. Python 3 should fix this issue.
        dumb_dict = dbm.open(t_filename, 'n')
        shelve_out = shelve.Shelf(dict=dumb_dict)
        for uri in self.molecule_uri:
            self._logger.debug('ChEMBL getting Molecule from %s', uri)
            with URLZSource(uri).open() as f_obj:
                for line in f_obj:
                    #TODO handle malformed JSON lines better
                    mol = json.loads(line)
                    shelve_out[str(mol["molecule_chembl_id"])] = mol

        self._logger.debug('ChEMBL Molecule loading done.')
        return shelve_out 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def _load(self):
        """load db content from file"""
        db_file = open(self.name, 'r')
        try:
            try:
                return self.codec.decode(db_file.read())
            except ValueError as error:
                # file contains corrupted json data
                msg = (error.args[0] +
                       "\nInvalid JSON data in %s\n" %
                       os.path.abspath(self.name) +
                       "To fix this problem, you can just remove the " +
                       "corrupted file, a new one will be generated.\n")
                error.args = (msg,)
                raise DatabaseException(msg)
        finally:
            db_file.close() 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def __init__(self, name, codec):
        """Open/create a DB file"""
        self.name = name
        self.codec = codec
        try:
            self._dbm = ddbm.open(self.name, 'c')
        except ddbm.error as exception:
            message = str(exception)
            if message == self.DBM_CONTENT_ERROR_MSG:
                # When a corrupted/old format database is found
                # suggest the user to just remove the file
                new_message = (
                    'Dependencies file in %(filename)s seems to use '
                    'an old format or is corrupted.\n'
                    'To fix the issue you can just remove the database file(s) '
                    'and a new one will be generated.'
                    % {'filename': repr(self.name)})
                raise DatabaseException(new_message)
            else:
                # Re-raise any other exceptions
                raise DatabaseException(message)

        self._db = {}
        self.dirty = set() 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def db_opened(self, lock=False):
        if DISABLE_CACHING_PERSISTENCE:
            yield {}
            return

        from .resilience import retrying
        with ExitStack() as stack:
            with self.lock:
                try:
                    db = stack.enter_context(
                        retrying(3, acceptable=GDBMException, sleep=5)(shelve.open)(self.path))
                except Exception:
                    try:
                        os.unlink(self.path)
                    except FileNotFoundError:
                        pass
                    try:
                        db = stack.enter_context(shelve.open(self.path))
                    except Exception:
                        _logger.warning("Could not open PersistentCache: %s", self.path)
                        db = {}

            if lock:
                stack.enter_context(self.lock)
            yield db 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def truncate_to_max(errors, max_errors):
    """If max_errors was specified, truncate the list of errors.

    Give the total number of times that the error was found elsewhere.
    """
    if len(errors) > max_errors:
        start1, end1, err1, msg1, replacements = errors[0]

        if len(errors) == (max_errors + 1):
            msg1 += " Found once elsewhere."
        else:
            msg1 += " Found {} times elsewhere.".format(len(errors))

        errors = errors[1:max_errors]
        errors = [(start1, end1, err1, msg1, replacements)] + errors

    return errors 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def filter(self, scanlines, header):
        """Filter out any scanlines that existed in the previous granule.

        Only works on datasets implementing get_dataname from the header.
        """
        dataname = self.ds.get_dataname(header, robust=True)
        if self._firstline_db is None:
            try:
                self._firstline_db = dbm.open(
                    str(self.granules_firstline_file), "r")
            except dbm.error as e: # presumably a lock
                tmpdir = tempfile.TemporaryDirectory()
                self._tmpdir = tmpdir # should be deleted only when object is
                tmp_gfl = str(pathlib.Path(tmpdir.name,
                    self.granules_firstline_file.name))
                logger.warning("Cannot read GFL DB at {!s}: {!s}, "
                    "presumably in use, copying to {!s}".format(
                        self.granules_firstline_file, e.args, tmp_gfl))
                shutil.copyfile(str(self.granules_firstline_file),
                    tmp_gfl)
                self.granules_firstline_file = tmp_gfl
                self._firstline_db = dbm.open(tmp_gfl)
        try:
            firstline = int(self._firstline_db[dataname])
        except KeyError as e:
            raise FilterError("Unable to filter firstline: {:s}".format(
                e.args[0])) from e
        if firstline > scanlines.shape[0]:
            logger.warning("Full granule {:s} appears contained in previous one. "
                "Refusing to return any lines.".format(dataname))
            return scanlines[0:0]
        return scanlines[scanlines["hrs_scnlin"] > firstline] 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def create(self):
        """
        Create a new on-disk database.

        :raises anydbm.error: If there's a problem creating the database.
        """
        if self.filename:
            self.db = anydbm.open(self.filename, "n") #raises anydbm.error
            self.db["--Reserved--type"] = self.type
            self.db.sync()
        else:
            self.db = {} 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def open(self):
        """
        Open a pre-existing on-disk database.

        :raises anydbm.error: If there's a problem opening the database.
        :raises ValueError: If the database is not of the right type.
        """
        if not self.filename:
            raise ValueError("Can only open on-disk databases")
        self.db = anydbm.open(self.filename, "w") #raises anydbm.error
        try:
            if self.db["--Reserved--type"] != self.type:
                raise ValueError("Not a %s database" % self.type)
        except KeyError:
            raise ValueError("Not a recognized database") 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def populate_synonyms_for_molecule(self, molecule_set, molecules_syn_dict):
        def _append_to_mol2syn(m2s_dict, molecule):
            """if molecule has synonyms create a clean entry in m2s_dict with all synms for that chembl_id.
            Returns either None if goes ok or the molecule chembl id if something wrong"""
            if 'molecule_synonyms' in molecule and molecule['molecule_synonyms']:
                synonyms = []
                for syn in molecule['molecule_synonyms']:
                    synonyms.append(syn['synonyms'])
                    synonyms.append(syn['molecule_synonym'])
                synonyms = list(set(synonyms))
                m2s_dict[molecule['molecule_chembl_id']] = synonyms
                return None
            else:
                return molecule['molecule_chembl_id']

        if not molecule_set or not len(molecule_set):
            self._logger.warn("No molecules in set")
            return

        data = {'molecules':[]}
        for mol_k in molecule_set:
            if mol_k in self.molecules_dict:
                data['molecules'].append(self.molecules_dict[mol_k])
            else:
                raise ValueError('problem retrieving the molecule info from the local db', str(mol_k))

        #if the data is what we expected, process it
        if 'molecules' in data:
            map_f = functools.partial(_append_to_mol2syn, molecules_syn_dict)
            mols_without_syn = \
                list(itertools.filterfalse(lambda mol: mol is None, map(map_f, data['molecules'])))
            if mols_without_syn:
                self._logger.debug('molecule list with no synonyms %s', str(mols_without_syn))

        else:
            self._logger.error("there is no 'molecules' key in the structure")
            raise RuntimeError("unexpected chembl API response") 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def _sqlite3(self, name):
        """Open/create a sqlite3 DB file"""

        # Import sqlite here so it's only imported when required
        import sqlite3
        def dict_factory(cursor, row):
            """convert row to dict"""
            data = {}
            for idx, col in enumerate(cursor.description):
                data[col[0]] = row[idx]
            return data
        def converter(data):
            return self.codec.decode(data.decode('utf-8'))

        sqlite3.register_adapter(list, self.codec.encode)
        sqlite3.register_adapter(dict, self.codec.encode)
        sqlite3.register_converter("json", converter)
        conn = sqlite3.connect(
            name,
            detect_types=sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES,
            isolation_level='DEFERRED')
        conn.row_factory = dict_factory
        sqlscript = """
            create table if not exists doit (
                task_id text not null primary key,
                task_data json
            );"""
        try:
            conn.execute(sqlscript)
        except sqlite3.DatabaseError as exception:
            new_message = (
                'Dependencies file in %(filename)s seems to use '
                'an bad format or is corrupted.\n'
                'To fix the issue you can just remove the database file(s) '
                'and a new one will be generated.'
                'Original error: %(msg)s'
                % {'filename': repr(name), 'msg': str(exception)})
            raise DatabaseException(new_message)
        return conn 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def get_error_message(self):
        '''return str with error message'''
        return self.error_reason 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def _get_cache(cachepath):
    if cachepath in _cache_shelves:
        return _cache_shelves[cachepath]

    try:
        cache = shelve.open(cachepath, protocol=2)
    except dbm.error:
        # dbm error on open - delete and retry
        print('Error (%s) opening %s - will attempt to delete and re-open.' %
              (sys.exc_info()[1], cachepath))
        try:
            os.remove(cachepath)
            cache = shelve.open(cachepath, protocol=2)
        except Exception:
            print('Error on re-open: %s' % sys.exc_info()[1])
            cache = None
    except Exception:
        # unknown error
        print('Could not open cache file %s, maybe name collision. '
              'Error: %s' % (cachepath, traceback.format_exc()))
        cache = None

    # Don't fail on bad caches
    if cache is None:
        print('Using in-memory shelf for cache file %s' % cachepath)
        cache = shelve.Shelf(dict())

    _cache_shelves[cachepath] = cache
    return cache 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def lint(input_file, debug=False):
    """Run the linter on the input file."""
    options = load_options()

    if isinstance(input_file, string_types):
        text = input_file
    else:
        text = input_file.read()

    # Get the checks.
    checks = get_checks(options)

    # Apply all the checks.
    errors = []
    for check in checks:

        result = check(text)

        for error in result:
            (start, end, check, message, replacements) = error
            (line, column) = line_and_column(text, start)
            if not is_quoted(start, text):
                errors += [(check, message, line, column, start, end,
                           end - start, "warning", replacements)]

        if len(errors) > options["max_errors"]:
            break

    # Sort the errors by line and column number.
    errors = sorted(errors[:options["max_errors"]], key=lambda e: (e[2], e[3]))

    return errors 

# 需要導入模塊: import dbm [as 別名]
# 或者: from dbm import error [as 別名]
def assert_error(text, check, n=1):
    """Assert that text has n errors of type check."""
    assert_error.description = "No {} error for '{}'".format(check, text)
    assert(check in [error[0] for error in lint(text)])