Object Accessor
A Python library for navigating nested data structures using simple accessor paths. The library provides a clean, intuitive way to access nested attributes, dictionary keys, and list indices through a unified interface.
Features
- Nested Access: Navigate deeply nested objects using simple path notation (e.g.,
user__profile__name) - Flexible Separators: Support for custom separators (default is
__) - Dictionary & Attribute Access: Automatically handles both dictionary key access and attribute access
- List Indexing: Supports list and tuple indexing via string indices (e.g.,
items__1) - Callable Handling: Option to call functions at the end of accessor chains or ignore them entirely
Inspiration
This library was inspired by the Accessor util in the django-tables2 project
Installation
pip install object-accessor
Quick Start
from object_accessor import Accessor
# Basic usage with default separator (__)
accessor = Accessor("user__profile__name")
data = {"user": {"profile": {"name": "John"}}}
result = accessor.resolve(data)
print(result) # Output: John
# Using custom separator (.)
accessor = Accessor("user.profile.name", sep=".")
data = {"user": {"profile": {"name": "Jane"}}}
result = accessor.resolve(data)
print(result) # Output: Jane
# List indexing
accessor = Accessor("items__1")
data = {"items": ["apple", "banana", "cherry"]}
result = accessor.resolve(data)
print(result) # Output: banana
# Attribute access
class Person:
def __init__(self):
self.name = "John"
class Address:
def __init__(self):
self.person = Person()
accessor = Accessor("person__name")
result = accessor.resolve(Address())
print(result) # Output: John
# "Dunder" attributes that conflict with the dunder seperater can be represented as double dash "--"
accessor = Accessor("person__--class--", ignore_callables=True)
result = accessor.resolve(Address())
print(result) # Output: <class '__main__.Person'>
Usage Examples
Basic Accessor Creation
from object_accessor import Accessor
# Create accessors with different configurations
accessor1 = Accessor("user__profile__name") # Default separator (__)
accessor2 = Accessor("user.profile.name", sep=".") # Custom separator (.)
accessor3 = Accessor(accessor1) # Copy from existing accessor
Handling Callables
# Callable handling - by default, functions are called
def get_user():
return "Alice"
accessor = Accessor("get_user")
data = {"get_user": get_user}
result = accessor.resolve(data)
print(result) # Output: Alice
# Ignore callable behavior
accessor = Accessor("get_user", ignore_callable=True)
result = accessor.resolve(data)
print(result) # Output: <function get_user at 0x...>
Error Handling
# Quiet mode (returns None on failure)
accessor = Accessor("nonexistent")
data = {"user": "John"}
result = accessor.resolve(data, quiet=True)
print(result) # Output: None
# Default value support
result = accessor.resolve(data, quiet=True, default="Not found")
print(result) # Output: Not found
# Non-quiet mode (raises exception on failure)
try:
accessor.resolve(data, quiet=False)
except ValueError as e:
print(e) # Raises exception
API Reference
Accessor Class
Accessor(value, sep=DEFAULT_SEPARATOR, callable_kwargs=None, ignore_callable=False, ignore_callable_until_end=False)
Initialize an Accessor instance.
value: The path value to initialize with (string or another Accessor)sep: Separator character used to split the accessor path (default:__)callable_kwargs: Keyword arguments passed when calling callables during resolutionignore_callable: If True, callable objects will not be invoked during resolutionignore_callable_until_end: If True, callable objects are ignored until the final key in the path
Methods
resolve(obj, quiet=False, default=None)
Resolve the accessor path against the given object.
obj: The object to resolve the accessor path againstquiet: If True, suppress exceptions and return None on lookup failuredefault: Default value to return if resolution fails and quiet=True
keys
Property that returns the split keys of the accessor path as a tuple.
License
MIT License
Metadata
Release files for object-accessor 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| object_accessor-0.0.4.tar.gz | 5.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| object_accessor-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.4 kB
Release files / object_accessor-0.0.4.tar.gz
| Download URL | object_accessor-0.0.4.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f92751830ae0a9d9a5529395bee59f2d621759677c249ee0c360fa1c27553f86
|
|
BLAKE2b-256 checksum How to use checksums |
ba158b1a4b1a0f04633f77e63306c2eecd8dc36d46eb4ba6506b7c755d00591b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / object_accessor-0.0.4-py3-none-any.whl
| Download URL | object_accessor-0.0.4-py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
876a562c172565190d6c69d485f4a179de06f1776da2991daa17708f35db523a
|
|
BLAKE2b-256 checksum How to use checksums |
b25a3e48a39149b1d237ed2c406a4b7854f7e7a7f1dcd3d49f76f95ebab64406
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Security for object-accessor 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.