philiprehberger-safeget 0.3.0

Safely access nested dictionary keys without exceptions

philiprehberger-safeget

Safely access nested dictionary keys without exceptions.

Installation

pip install philiprehberger-safeget

Usage

from philiprehberger_safeget import safeget, safeset, has_path, pluck

data = {"user": {"address": {"city": "NYC"}}}

safeget(data, "user.address.city")              # "NYC"
safeget(data, "user.address.zip")               # None
safeget(data, "user.address.zip", default="?")  # "?"

# List index support
data = {"users": [{"name": "Alice"}, {"name": "Bob"}]}
safeget(data, "users.0.name")  # "Alice"

# Check existence
has_path(data, "users.0.name")   # True
has_path(data, "users.5.name")   # False

# Set nested values (creates intermediates)
safeset(data, "config.debug", True)

# Extract multiple paths
pluck(data, "users.0.name", "config.debug")
# {"users.0.name": "Alice", "config.debug": True}

Deleting and walking

from philiprehberger_safeget import delete_path, walk

# Remove a nested key (mutates in place); returns True if something was removed
data = {"a": {"b": 1, "c": 2}}
delete_path(data, "a.b")   # True  -> data == {"a": {"c": 2}}
delete_path(data, "x.y")   # False -> data unchanged

# Works on list indices too
data = {"users": [{"id": 1}, {"id": 2}]}
delete_path(data, "users.0")   # True -> data == {"users": [{"id": 2}]}

# Iterate every (path, value) pair in a nested structure
for path, value in walk({"a": {"b": 1, "c": [10, 20]}}):
    print(path, value)
# a {'b': 1, 'c': [10, 20]}
# a.b 1
# a.c [10, 20]
# a.c.0 10
# a.c.1 20

# Only the leaves
list(walk({"a": {"b": 1, "c": [10, 20]}}, leaves_only=True))
# [("a.b", 1), ("a.c.0", 10), ("a.c.1", 20)]

API

• safeget(data, path, default=None, separator=".") — Get nested value
• safeset(data, path, value, separator=".") — Set nested value
• has_path(data, path, separator=".") — Check if path exists
• pluck(data, *paths, default=None) — Extract multiple paths
• delete_path(data, path, separator=".") — Remove value at path; returns whether anything was removed
• walk(data, leaves_only=False, separator=".") — Iterate (path, value) pairs for every node (or only leaves)

Development

pip install -e .
python -m pytest tests/ -v

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License

MIT