blob: 4a5ddaaf7a1649921850248146b6be7b10ccba23 [file] [log] [blame]
import builtins
import collections
import dataclasses
import inspect
import os
import sys
from array import array
from collections import Counter, UserDict, UserList, defaultdict, deque
from dataclasses import dataclass, fields, is_dataclass
from inspect import isclass
from itertools import islice
from types import MappingProxyType
from typing import (
TYPE_CHECKING,
Any,
Callable,
DefaultDict,
Dict,
Iterable,
List,
Optional,
Sequence,
Set,
Tuple,
Union,
)
from pip._vendor.rich.repr import RichReprResult
try:
import attr as _attr_module
_has_attrs = True
except ImportError: # pragma: no cover
_has_attrs = False
from . import get_console
from ._loop import loop_last
from ._pick import pick_bool
from .abc import RichRenderable
from .cells import cell_len
from .highlighter import ReprHighlighter
from .jupyter import JupyterMixin, JupyterRenderable
from .measure import Measurement
from .text import Text
if TYPE_CHECKING:
from .console import (
Console,
ConsoleOptions,
HighlighterType,
JustifyMethod,
OverflowMethod,
RenderResult,
)
JUPYTER_CLASSES_TO_NOT_RENDER = {
# Matplotlib "Artists" manage their own rendering in a Jupyter notebook, and we should not try to render them too.
# "Typically, all [Matplotlib] visible elements in a figure are subclasses of Artist."
"matplotlib.artist.Artist",
}
def _is_attr_object(obj: Any) -> bool:
"""Check if an object was created with attrs module."""
return _has_attrs and _attr_module.has(type(obj))
def _get_attr_fields(obj: Any) -> Sequence["_attr_module.Attribute[Any]"]:
"""Get fields for an attrs object."""
return _attr_module.fields(type(obj)) if _has_attrs else []
def _is_dataclass_repr(obj: object) -> bool:
"""Check if an instance of a dataclass contains the default repr.
Args:
obj (object): A dataclass instance.
Returns:
bool: True if the default repr is used, False if there is a custom repr.
"""
# Digging in to a lot of internals here
# Catching all exceptions in case something is missing on a non CPython implementation
try:
return obj.__repr__.__code__.co_filename == dataclasses.__file__
except Exception: # pragma: no coverage
return False
_dummy_namedtuple = collections.namedtuple("_dummy_namedtuple", [])
def _has_default_namedtuple_repr(obj: object) -> bool:
"""Check if an instance of namedtuple contains the default repr
Args:
obj (object): A namedtuple
Returns:
bool: True if the default repr is used, False if there's a custom repr.
"""
obj_file = None
try:
obj_file = inspect.getfile(obj.__repr__)
except (OSError, TypeError):
# OSError handles case where object is defined in __main__ scope, e.g. REPL - no filename available.
# TypeError trapped defensively, in case of object without filename slips through.
pass
default_repr_file = inspect.getfile(_dummy_namedtuple.__repr__)
return obj_file == default_repr_file
def _ipy_display_hook(
value: Any,
console: Optional["Console"] = None,
overflow: "OverflowMethod" = "ignore",
crop: bool = False,
indent_guides: bool = False,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
expand_all: bool = False,
) -> None:
# needed here to prevent circular import:
from ._inspect import is_object_one_of_types
from .console import ConsoleRenderable
# always skip rich generated jupyter renderables or None values
if _safe_isinstance(value, JupyterRenderable) or value is None:
return
console = console or get_console()
if console.is_jupyter:
# Delegate rendering to IPython if the object (and IPython) supports it
# https://ipython.readthedocs.io/en/stable/config/integrating.html#rich-display
ipython_repr_methods = [
"_repr_html_",
"_repr_markdown_",
"_repr_json_",
"_repr_latex_",
"_repr_jpeg_",
"_repr_png_",
"_repr_svg_",
"_repr_mimebundle_",
]
for repr_method in ipython_repr_methods:
method = getattr(value, repr_method, None)
if inspect.ismethod(method):
# Calling the method ourselves isn't ideal. The interface for the `_repr_*_` methods
# specifies that if they return None, then they should not be rendered
# by the notebook.
try:
repr_result = method()
except Exception:
continue # If the method raises, treat it as if it doesn't exist, try any others
if repr_result is not None:
return # Delegate rendering to IPython
# When in a Jupyter notebook let's avoid the display of some specific classes,
# as they result in the rendering of useless and noisy lines such as `<Figure size 432x288 with 1 Axes>`.
# What does this do?
# --> if the class has "matplotlib.artist.Artist" in its hierarchy for example, we don't render it.
if is_object_one_of_types(value, JUPYTER_CLASSES_TO_NOT_RENDER):
return
# certain renderables should start on a new line
if _safe_isinstance(value, ConsoleRenderable):
console.line()
console.print(
value
if _safe_isinstance(value, RichRenderable)
else Pretty(
value,
overflow=overflow,
indent_guides=indent_guides,
max_length=max_length,
max_string=max_string,
expand_all=expand_all,
margin=12,
),
crop=crop,
new_line_start=True,
)
def _safe_isinstance(
obj: object, class_or_tuple: Union[type, Tuple[type, ...]]
) -> bool:
"""isinstance can fail in rare cases, for example types with no __class__"""
try:
return isinstance(obj, class_or_tuple)
except Exception:
return False
def install(
console: Optional["Console"] = None,
overflow: "OverflowMethod" = "ignore",
crop: bool = False,
indent_guides: bool = False,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
expand_all: bool = False,
) -> None:
"""Install automatic pretty printing in the Python REPL.
Args:
console (Console, optional): Console instance or ``None`` to use global console. Defaults to None.
overflow (Optional[OverflowMethod], optional): Overflow method. Defaults to "ignore".
crop (Optional[bool], optional): Enable cropping of long lines. Defaults to False.
indent_guides (bool, optional): Enable indentation guides. Defaults to False.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None.
expand_all (bool, optional): Expand all containers. Defaults to False.
max_frames (int): Maximum number of frames to show in a traceback, 0 for no maximum. Defaults to 100.
"""
from pip._vendor.rich import get_console
console = console or get_console()
assert console is not None
def display_hook(value: Any) -> None:
"""Replacement sys.displayhook which prettifies objects with Rich."""
if value is not None:
assert console is not None
builtins._ = None # type: ignore[attr-defined]
console.print(
value
if _safe_isinstance(value, RichRenderable)
else Pretty(
value,
overflow=overflow,
indent_guides=indent_guides,
max_length=max_length,
max_string=max_string,
expand_all=expand_all,
),
crop=crop,
)
builtins._ = value # type: ignore[attr-defined]
try: # pragma: no cover
ip = get_ipython() # type: ignore[name-defined]
from IPython.core.formatters import BaseFormatter
class RichFormatter(BaseFormatter): # type: ignore[misc]
pprint: bool = True
def __call__(self, value: Any) -> Any:
if self.pprint:
return _ipy_display_hook(
value,
console=get_console(),
overflow=overflow,
indent_guides=indent_guides,
max_length=max_length,
max_string=max_string,
expand_all=expand_all,
)
else:
return repr(value)
# replace plain text formatter with rich formatter
rich_formatter = RichFormatter()
ip.display_formatter.formatters["text/plain"] = rich_formatter
except Exception:
sys.displayhook = display_hook
class Pretty(JupyterMixin):
"""A rich renderable that pretty prints an object.
Args:
_object (Any): An object to pretty print.
highlighter (HighlighterType, optional): Highlighter object to apply to result, or None for ReprHighlighter. Defaults to None.
indent_size (int, optional): Number of spaces in indent. Defaults to 4.
justify (JustifyMethod, optional): Justify method, or None for default. Defaults to None.
overflow (OverflowMethod, optional): Overflow method, or None for default. Defaults to None.
no_wrap (Optional[bool], optional): Disable word wrapping. Defaults to False.
indent_guides (bool, optional): Enable indentation guides. Defaults to False.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable. Defaults to None.
max_depth (int, optional): Maximum depth of nested data structures, or None for no maximum. Defaults to None.
expand_all (bool, optional): Expand all containers. Defaults to False.
margin (int, optional): Subtrace a margin from width to force containers to expand earlier. Defaults to 0.
insert_line (bool, optional): Insert a new line if the output has multiple new lines. Defaults to False.
"""
def __init__(
self,
_object: Any,
highlighter: Optional["HighlighterType"] = None,
*,
indent_size: int = 4,
justify: Optional["JustifyMethod"] = None,
overflow: Optional["OverflowMethod"] = None,
no_wrap: Optional[bool] = False,
indent_guides: bool = False,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
expand_all: bool = False,
margin: int = 0,
insert_line: bool = False,
) -> None:
self._object = _object
self.highlighter = highlighter or ReprHighlighter()
self.indent_size = indent_size
self.justify: Optional["JustifyMethod"] = justify
self.overflow: Optional["OverflowMethod"] = overflow
self.no_wrap = no_wrap
self.indent_guides = indent_guides
self.max_length = max_length
self.max_string = max_string
self.max_depth = max_depth
self.expand_all = expand_all
self.margin = margin
self.insert_line = insert_line
def __rich_console__(
self, console: "Console", options: "ConsoleOptions"
) -> "RenderResult":
pretty_str = pretty_repr(
self._object,
max_width=options.max_width - self.margin,
indent_size=self.indent_size,
max_length=self.max_length,
max_string=self.max_string,
max_depth=self.max_depth,
expand_all=self.expand_all,
)
pretty_text = Text(
pretty_str,
justify=self.justify or options.justify,
overflow=self.overflow or options.overflow,
no_wrap=pick_bool(self.no_wrap, options.no_wrap),
style="pretty",
)
pretty_text = (
self.highlighter(pretty_text)
if pretty_text
else Text(
f"{type(self._object)}.__repr__ returned empty string",
style="dim italic",
)
)
if self.indent_guides and not options.ascii_only:
pretty_text = pretty_text.with_indent_guides(
self.indent_size, style="repr.indent"
)
if self.insert_line and "\n" in pretty_text:
yield ""
yield pretty_text
def __rich_measure__(
self, console: "Console", options: "ConsoleOptions"
) -> "Measurement":
pretty_str = pretty_repr(
self._object,
max_width=options.max_width,
indent_size=self.indent_size,
max_length=self.max_length,
max_string=self.max_string,
expand_all=self.expand_all,
)
text_width = (
max(cell_len(line) for line in pretty_str.splitlines()) if pretty_str else 0
)
return Measurement(text_width, text_width)
def _get_braces_for_defaultdict(_object: DefaultDict[Any, Any]) -> Tuple[str, str, str]:
return (
f"defaultdict({_object.default_factory!r}, {{",
"})",
f"defaultdict({_object.default_factory!r}, {{}})",
)
def _get_braces_for_array(_object: "array[Any]") -> Tuple[str, str, str]:
return (f"array({_object.typecode!r}, [", "])", f"array({_object.typecode!r})")
_BRACES: Dict[type, Callable[[Any], Tuple[str, str, str]]] = {
os._Environ: lambda _object: ("environ({", "})", "environ({})"),
array: _get_braces_for_array,
defaultdict: _get_braces_for_defaultdict,
Counter: lambda _object: ("Counter({", "})", "Counter()"),
deque: lambda _object: ("deque([", "])", "deque()"),
dict: lambda _object: ("{", "}", "{}"),
UserDict: lambda _object: ("{", "}", "{}"),
frozenset: lambda _object: ("frozenset({", "})", "frozenset()"),
list: lambda _object: ("[", "]", "[]"),
UserList: lambda _object: ("[", "]", "[]"),
set: lambda _object: ("{", "}", "set()"),
tuple: lambda _object: ("(", ")", "()"),
MappingProxyType: lambda _object: ("mappingproxy({", "})", "mappingproxy({})"),
}
_CONTAINERS = tuple(_BRACES.keys())
_MAPPING_CONTAINERS = (dict, os._Environ, MappingProxyType, UserDict)
def is_expandable(obj: Any) -> bool:
"""Check if an object may be expanded by pretty print."""
return (
_safe_isinstance(obj, _CONTAINERS)
or (is_dataclass(obj))
or (hasattr(obj, "__rich_repr__"))
or _is_attr_object(obj)
) and not isclass(obj)
@dataclass
class Node:
"""A node in a repr tree. May be atomic or a container."""
key_repr: str = ""
value_repr: str = ""
open_brace: str = ""
close_brace: str = ""
empty: str = ""
last: bool = False
is_tuple: bool = False
is_namedtuple: bool = False
children: Optional[List["Node"]] = None
key_separator = ": "
separator: str = ", "
def iter_tokens(self) -> Iterable[str]:
"""Generate tokens for this node."""
if self.key_repr:
yield self.key_repr
yield self.key_separator
if self.value_repr:
yield self.value_repr
elif self.children is not None:
if self.children:
yield self.open_brace
if self.is_tuple and not self.is_namedtuple and len(self.children) == 1:
yield from self.children[0].iter_tokens()
yield ","
else:
for child in self.children:
yield from child.iter_tokens()
if not child.last:
yield self.separator
yield self.close_brace
else:
yield self.empty
def check_length(self, start_length: int, max_length: int) -> bool:
"""Check the length fits within a limit.
Args:
start_length (int): Starting length of the line (indent, prefix, suffix).
max_length (int): Maximum length.
Returns:
bool: True if the node can be rendered within max length, otherwise False.
"""
total_length = start_length
for token in self.iter_tokens():
total_length += cell_len(token)
if total_length > max_length:
return False
return True
def __str__(self) -> str:
repr_text = "".join(self.iter_tokens())
return repr_text
def render(
self, max_width: int = 80, indent_size: int = 4, expand_all: bool = False
) -> str:
"""Render the node to a pretty repr.
Args:
max_width (int, optional): Maximum width of the repr. Defaults to 80.
indent_size (int, optional): Size of indents. Defaults to 4.
expand_all (bool, optional): Expand all levels. Defaults to False.
Returns:
str: A repr string of the original object.
"""
lines = [_Line(node=self, is_root=True)]
line_no = 0
while line_no < len(lines):
line = lines[line_no]
if line.expandable and not line.expanded:
if expand_all or not line.check_length(max_width):
lines[line_no : line_no + 1] = line.expand(indent_size)
line_no += 1
repr_str = "\n".join(str(line) for line in lines)
return repr_str
@dataclass
class _Line:
"""A line in repr output."""
parent: Optional["_Line"] = None
is_root: bool = False
node: Optional[Node] = None
text: str = ""
suffix: str = ""
whitespace: str = ""
expanded: bool = False
last: bool = False
@property
def expandable(self) -> bool:
"""Check if the line may be expanded."""
return bool(self.node is not None and self.node.children)
def check_length(self, max_length: int) -> bool:
"""Check this line fits within a given number of cells."""
start_length = (
len(self.whitespace) + cell_len(self.text) + cell_len(self.suffix)
)
assert self.node is not None
return self.node.check_length(start_length, max_length)
def expand(self, indent_size: int) -> Iterable["_Line"]:
"""Expand this line by adding children on their own line."""
node = self.node
assert node is not None
whitespace = self.whitespace
assert node.children
if node.key_repr:
new_line = yield _Line(
text=f"{node.key_repr}{node.key_separator}{node.open_brace}",
whitespace=whitespace,
)
else:
new_line = yield _Line(text=node.open_brace, whitespace=whitespace)
child_whitespace = self.whitespace + " " * indent_size
tuple_of_one = node.is_tuple and len(node.children) == 1
for last, child in loop_last(node.children):
separator = "," if tuple_of_one else node.separator
line = _Line(
parent=new_line,
node=child,
whitespace=child_whitespace,
suffix=separator,
last=last and not tuple_of_one,
)
yield line
yield _Line(
text=node.close_brace,
whitespace=whitespace,
suffix=self.suffix,
last=self.last,
)
def __str__(self) -> str:
if self.last:
return f"{self.whitespace}{self.text}{self.node or ''}"
else:
return (
f"{self.whitespace}{self.text}{self.node or ''}{self.suffix.rstrip()}"
)
def _is_namedtuple(obj: Any) -> bool:
"""Checks if an object is most likely a namedtuple. It is possible
to craft an object that passes this check and isn't a namedtuple, but
there is only a minuscule chance of this happening unintentionally.
Args:
obj (Any): The object to test
Returns:
bool: True if the object is a namedtuple. False otherwise.
"""
try:
fields = getattr(obj, "_fields", None)
except Exception:
# Being very defensive - if we cannot get the attr then its not a namedtuple
return False
return isinstance(obj, tuple) and isinstance(fields, tuple)
def traverse(
_object: Any,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
) -> Node:
"""Traverse object and generate a tree.
Args:
_object (Any): Object to be traversed.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.
Defaults to None.
max_depth (int, optional): Maximum depth of data structures, or None for no maximum.
Defaults to None.
Returns:
Node: The root of a tree structure which can be used to render a pretty repr.
"""
def to_repr(obj: Any) -> str:
"""Get repr string for an object, but catch errors."""
if (
max_string is not None
and _safe_isinstance(obj, (bytes, str))
and len(obj) > max_string
):
truncated = len(obj) - max_string
obj_repr = f"{obj[:max_string]!r}+{truncated}"
else:
try:
obj_repr = repr(obj)
except Exception as error:
obj_repr = f"<repr-error {str(error)!r}>"
return obj_repr
visited_ids: Set[int] = set()
push_visited = visited_ids.add
pop_visited = visited_ids.remove
def _traverse(obj: Any, root: bool = False, depth: int = 0) -> Node:
"""Walk the object depth first."""
obj_type = type(obj)
py_version = (sys.version_info.major, sys.version_info.minor)
children: List[Node]
reached_max_depth = max_depth is not None and depth >= max_depth
def iter_rich_args(rich_args: Any) -> Iterable[Union[Any, Tuple[str, Any]]]:
for arg in rich_args:
if _safe_isinstance(arg, tuple):
if len(arg) == 3:
key, child, default = arg
if default == child:
continue
yield key, child
elif len(arg) == 2:
key, child = arg
yield key, child
elif len(arg) == 1:
yield arg[0]
else:
yield arg
try:
fake_attributes = hasattr(
obj, "awehoi234_wdfjwljet234_234wdfoijsdfmmnxpi492"
)
except Exception:
fake_attributes = False
rich_repr_result: Optional[RichReprResult] = None
if not fake_attributes:
try:
if hasattr(obj, "__rich_repr__") and not isclass(obj):
rich_repr_result = obj.__rich_repr__()
except Exception:
pass
if rich_repr_result is not None:
angular = getattr(obj.__rich_repr__, "angular", False)
args = list(iter_rich_args(rich_repr_result))
class_name = obj.__class__.__name__
if args:
children = []
append = children.append
if reached_max_depth:
node = Node(value_repr=f"...")
else:
if angular:
node = Node(
open_brace=f"<{class_name} ",
close_brace=">",
children=children,
last=root,
separator=" ",
)
else:
node = Node(
open_brace=f"{class_name}(",
close_brace=")",
children=children,
last=root,
)
for last, arg in loop_last(args):
if _safe_isinstance(arg, tuple):
key, child = arg
child_node = _traverse(child, depth=depth + 1)
child_node.last = last
child_node.key_repr = key
child_node.key_separator = "="
append(child_node)
else:
child_node = _traverse(arg, depth=depth + 1)
child_node.last = last
append(child_node)
else:
node = Node(
value_repr=f"<{class_name}>" if angular else f"{class_name}()",
children=[],
last=root,
)
elif _is_attr_object(obj) and not fake_attributes:
children = []
append = children.append
attr_fields = _get_attr_fields(obj)
if attr_fields:
if reached_max_depth:
node = Node(value_repr=f"...")
else:
node = Node(
open_brace=f"{obj.__class__.__name__}(",
close_brace=")",
children=children,
last=root,
)
def iter_attrs() -> Iterable[
Tuple[str, Any, Optional[Callable[[Any], str]]]
]:
"""Iterate over attr fields and values."""
for attr in attr_fields:
if attr.repr:
try:
value = getattr(obj, attr.name)
except Exception as error:
# Can happen, albeit rarely
yield (attr.name, error, None)
else:
yield (
attr.name,
value,
attr.repr if callable(attr.repr) else None,
)
for last, (name, value, repr_callable) in loop_last(iter_attrs()):
if repr_callable:
child_node = Node(value_repr=str(repr_callable(value)))
else:
child_node = _traverse(value, depth=depth + 1)
child_node.last = last
child_node.key_repr = name
child_node.key_separator = "="
append(child_node)
else:
node = Node(
value_repr=f"{obj.__class__.__name__}()", children=[], last=root
)
elif (
is_dataclass(obj)
and not _safe_isinstance(obj, type)
and not fake_attributes
and (_is_dataclass_repr(obj) or py_version == (3, 6))
):
obj_id = id(obj)
if obj_id in visited_ids:
# Recursion detected
return Node(value_repr="...")
push_visited(obj_id)
children = []
append = children.append
if reached_max_depth:
node = Node(value_repr=f"...")
else:
node = Node(
open_brace=f"{obj.__class__.__name__}(",
close_brace=")",
children=children,
last=root,
)
for last, field in loop_last(
field for field in fields(obj) if field.repr
):
child_node = _traverse(getattr(obj, field.name), depth=depth + 1)
child_node.key_repr = field.name
child_node.last = last
child_node.key_separator = "="
append(child_node)
pop_visited(obj_id)
elif _is_namedtuple(obj) and _has_default_namedtuple_repr(obj):
if reached_max_depth:
node = Node(value_repr="...")
else:
children = []
class_name = obj.__class__.__name__
node = Node(
open_brace=f"{class_name}(",
close_brace=")",
children=children,
empty=f"{class_name}()",
)
append = children.append
for last, (key, value) in loop_last(obj._asdict().items()):
child_node = _traverse(value, depth=depth + 1)
child_node.key_repr = key
child_node.last = last
child_node.key_separator = "="
append(child_node)
elif _safe_isinstance(obj, _CONTAINERS):
for container_type in _CONTAINERS:
if _safe_isinstance(obj, container_type):
obj_type = container_type
break
obj_id = id(obj)
if obj_id in visited_ids:
# Recursion detected
return Node(value_repr="...")
push_visited(obj_id)
open_brace, close_brace, empty = _BRACES[obj_type](obj)
if reached_max_depth:
node = Node(value_repr=f"...", last=root)
elif obj_type.__repr__ != type(obj).__repr__:
node = Node(value_repr=to_repr(obj), last=root)
elif obj:
children = []
node = Node(
open_brace=open_brace,
close_brace=close_brace,
children=children,
last=root,
)
append = children.append
num_items = len(obj)
last_item_index = num_items - 1
if _safe_isinstance(obj, _MAPPING_CONTAINERS):
iter_items = iter(obj.items())
if max_length is not None:
iter_items = islice(iter_items, max_length)
for index, (key, child) in enumerate(iter_items):
child_node = _traverse(child, depth=depth + 1)
child_node.key_repr = to_repr(key)
child_node.last = index == last_item_index
append(child_node)
else:
iter_values = iter(obj)
if max_length is not None:
iter_values = islice(iter_values, max_length)
for index, child in enumerate(iter_values):
child_node = _traverse(child, depth=depth + 1)
child_node.last = index == last_item_index
append(child_node)
if max_length is not None and num_items > max_length:
append(Node(value_repr=f"... +{num_items - max_length}", last=True))
else:
node = Node(empty=empty, children=[], last=root)
pop_visited(obj_id)
else:
node = Node(value_repr=to_repr(obj), last=root)
node.is_tuple = _safe_isinstance(obj, tuple)
node.is_namedtuple = _is_namedtuple(obj)
return node
node = _traverse(_object, root=True)
return node
def pretty_repr(
_object: Any,
*,
max_width: int = 80,
indent_size: int = 4,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
expand_all: bool = False,
) -> str:
"""Prettify repr string by expanding on to new lines to fit within a given width.
Args:
_object (Any): Object to repr.
max_width (int, optional): Desired maximum width of repr string. Defaults to 80.
indent_size (int, optional): Number of spaces to indent. Defaults to 4.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of string before truncating, or None to disable truncating.
Defaults to None.
max_depth (int, optional): Maximum depth of nested data structure, or None for no depth.
Defaults to None.
expand_all (bool, optional): Expand all containers regardless of available width. Defaults to False.
Returns:
str: A possibly multi-line representation of the object.
"""
if _safe_isinstance(_object, Node):
node = _object
else:
node = traverse(
_object, max_length=max_length, max_string=max_string, max_depth=max_depth
)
repr_str: str = node.render(
max_width=max_width, indent_size=indent_size, expand_all=expand_all
)
return repr_str
def pprint(
_object: Any,
*,
console: Optional["Console"] = None,
indent_guides: bool = True,
max_length: Optional[int] = None,
max_string: Optional[int] = None,
max_depth: Optional[int] = None,
expand_all: bool = False,
) -> None:
"""A convenience function for pretty printing.
Args:
_object (Any): Object to pretty print.
console (Console, optional): Console instance, or None to use default. Defaults to None.
max_length (int, optional): Maximum length of containers before abbreviating, or None for no abbreviation.
Defaults to None.
max_string (int, optional): Maximum length of strings before truncating, or None to disable. Defaults to None.
max_depth (int, optional): Maximum depth for nested data structures, or None for unlimited depth. Defaults to None.
indent_guides (bool, optional): Enable indentation guides. Defaults to True.
expand_all (bool, optional): Expand all containers. Defaults to False.
"""
_console = get_console() if console is None else console
_console.print(
Pretty(
_object,
max_length=max_length,
max_string=max_string,
max_depth=max_depth,
indent_guides=indent_guides,
expand_all=expand_all,
overflow="ignore",
),
soft_wrap=True,
)
if __name__ == "__main__": # pragma: no cover
class BrokenRepr:
def __repr__(self) -> str:
1 / 0
return "this will fail"
from typing import NamedTuple
class StockKeepingUnit(NamedTuple):
name: str
description: str
price: float
category: str
reviews: List[str]
d = defaultdict(int)
d["foo"] = 5
data = {
"foo": [
1,
"Hello World!",
100.123,
323.232,
432324.0,
{5, 6, 7, (1, 2, 3, 4), 8},
],
"bar": frozenset({1, 2, 3}),
"defaultdict": defaultdict(
list, {"crumble": ["apple", "rhubarb", "butter", "sugar", "flour"]}
),
"counter": Counter(
[
"apple",
"orange",
"pear",
"kumquat",
"kumquat",
"durian" * 100,
]
),
"atomic": (False, True, None),
"namedtuple": StockKeepingUnit(
"Sparkling British Spring Water",
"Carbonated spring water",
0.9,
"water",
["its amazing!", "its terrible!"],
),
"Broken": BrokenRepr(),
}
data["foo"].append(data) # type: ignore[attr-defined]
from pip._vendor.rich import print
print(Pretty(data, indent_guides=True, max_string=20))