Python json_loads Examples

Example #1

File: component_info.py Project: Aayush-Kasurde/zato

def format_info(value, format, cols_width=None, dumper=None):
    if format in(INFO_FORMAT.DICT, INFO_FORMAT.JSON, INFO_FORMAT.YAML):
        value['component_details'] = json_loads(value['component_details'])

    if format == INFO_FORMAT.JSON:
        return json_dumps(value)

    elif format == INFO_FORMAT.YAML:
        buff = StringIO()
        yaml.dump_all([value], default_flow_style=False, indent=4, Dumper=dumper, stream=buff)
        value = buff.getvalue()
        buff.close()

        return value

    elif format == INFO_FORMAT.TEXT:
        cols_width = (elem.strip() for elem in cols_width.split(','))
        cols_width = [int(elem) for elem in cols_width]

        table = Texttable()
        table.set_cols_width(cols_width)

        # Use text ('t') instead of auto so that boolean values don't get converted into ints
        table.set_cols_dtype(['t', 't'])

        rows = [['Key', 'Value']]
        rows.extend(sorted(value.items()))

        table.add_rows(rows)

        return table.draw()

    else:
        return value

Example #2

def format_info(value, format, cols_width=None, dumper=None):
    if format in (INFO_FORMAT.DICT, INFO_FORMAT.JSON, INFO_FORMAT.YAML):
        value['component_details'] = json_loads(value['component_details'])

    if format == INFO_FORMAT.JSON:
        return json_dumps(value)

    elif format == INFO_FORMAT.YAML:
        buff = StringIO()
        yaml.dump_all([value],
                      default_flow_style=False,
                      indent=4,
                      Dumper=dumper,
                      stream=buff)
        value = buff.getvalue()
        buff.close()

        return value

    elif format == INFO_FORMAT.TEXT:
        cols_width = (elem.strip() for elem in cols_width.split(','))
        cols_width = [int(elem) for elem in cols_width]

        table = Texttable()
        table.set_cols_width(cols_width)

        # Use text ('t') instead of auto so that boolean values don't get converted into ints
        table.set_cols_dtype(['t', 't'])

        rows = [['Key', 'Value']]
        rows.extend(sorted(value.items()))

        table.add_rows(rows)

        return table.draw()

    else:
        return value

Example #3

File: serialization.py Project: 571451370/devstack_mitaka

 def _loads(obj):
     if isinstance(obj, bytes_t):
         obj = obj.decode('utf-8')
     return json_loads(obj)

Example #4

File: serialization.py Project: Amber-Creative/ambererpnext

 def _loads(obj):
     if isinstance(obj, bytes_t):
         obj = obj.decode('utf-8')
     return json_loads(obj)

Example #5

def _loads(data):
    if isinstance(data, bytes):
        data = data.decode('utf-8')
    return json_loads(data)

Example #6

File: celery.py Project: bmolparia/gene-pc-api

def _loads(data):
    if isinstance(data, bytes):
        data = data.decode('utf-8')
    return json_loads(data)