logz#

Classes#

DumpEncoder

Extensible JSON <https://json.org> encoder for Python data structures.

Functions#

set_root_level([level])

attach_stderr([level])

detach_stderr()

initialize_logging([level])

jsondumps(obj)

fullname(obj)

request_header_sort_key(item)

response_header_sort_key(item)

stringify(obj[, content_max_len])

Attributes#

root_log#
NullHandler#
DEBUG_FORMATTER#
INFO_FORMATTER#
set_root_level(level=INFO)#
attach_stderr(level=INFO)#
detach_stderr()#
initialize_logging(level=INFO)#
class DumpEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)#

Bases: json.JSONEncoder

Extensible JSON <https://json.org> encoder for Python data structures.

Supports the following objects and types by default:

Python

JSON

dict

object

list, tuple

array

str

string

int, float

number

True

true

False

false

None

null

To extend this to recognize other objects, subclass and implement a .default() method with another method that returns a serializable object for o if possible, otherwise it should call the superclass implementation (to raise TypeError).

default(obj)#

Implement this method in a subclass such that it returns a serializable object for o, or calls the base implementation (to raise a TypeError).

For example, to support arbitrary iterators, you could implement default like this:

def default(self, o):
    try:
        iterable = iter(o)
    except TypeError:
        pass
    else:
        return list(iterable)
    # Let the base class default method raise the TypeError
    return JSONEncoder.default(self, o)
_DUMPS#
jsondumps(obj)#
fullname(obj)#
request_header_sort_dict#
request_header_sort_key(item)#
response_header_sort_dict#
response_header_sort_key(item)#
stringify(obj, content_max_len=0)#