path-seeker
Find, count, and update keys anywhere in a nested dict or list of dicts — with
full path disambiguation when the same key occurs at multiple depths.
Installation
pip install path-seeker
Usage
from path_seeker import PathSeeker
data = {
"user": {
"id": 1,
"address": {"id": 42, "city": "Berlin"},
},
"orders": [
{"id": 100, "status": "shipped"},
{"id": 101, "status": "pending"},
],
}
seeker = PathSeeker(data)
# All values found under a key, at any depth
seeker.find_values("id")
# [1, 42, 100, 101]
# All (path, value) matches — use this to disambiguate duplicates
seeker.find_paths("id")
# [Match(path=['user', 'id'], value=1),
# Match(path=['user', 'address', 'id'], value=42),
# Match(path=['orders', 0, 'id'], value=100),
# Match(path=['orders', 1, 'id'], value=101)]
# Every distinct key name in the structure
seeker.get_keys()
# ['address', 'city', 'id', 'orders', 'status', 'user']
# How many times a key occurs
seeker.count_key("id")
# 4
# Update one exact occurrence, using a path from find_paths
seeker.set_value(["orders", 1, "status"], "cancelled")
# Update every occurrence of a key at once
seeker.update_values("id", 0)
# 4 (number of occurrences updated)
API
| Method | Returns | Description |
|---|---|---|
find_values(key) |
list[Any] |
Every value stored under key, at any depth. |
find_paths(key) |
list[Match] |
Every (path, value) pair for key, at any depth. |
get_keys() |
list[str] |
Every distinct key name in the structure, sorted. |
count_key(key) |
int |
How many times key occurs. |
set_value(path, new_value) |
None |
Update the value at an exact path (from find_paths). |
update_values(key, new_value) |
int |
Update every occurrence of key; returns count updated. |
.data |
dict | list |
The current (possibly mutated) underlying structure. |
Search is by key name, not by value — searching for a value and getting its path back is not supported yet.
Limitations
PathSeekerholds a reference to the structure you pass in — it does not make a defensive copy, so updates viaset_value/update_valuesmutate your original object too.- Nested
dicts andlists are traversed; other iterables (tuples, sets, generators) are treated as opaque values, since list-index-style paths don't make sense for them. - No cycle detection. This is fine for JSON/YAML-shaped data, which can't contain cycles, but a structure with a manually-introduced reference cycle will recurse forever.
Development
make install # uv sync --all-extras
make check # lint + typecheck + test (what CI runs)
Individual targets: make test, make lint, make format, make typecheck.
See CONTRIBUTING.md for the full workflow.
License
MIT — see LICENSE.
Release files for path-seeker 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| path_seeker-0.1.0.tar.gz | 72.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| path_seeker-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.3 kB
Release files / path_seeker-0.1.0.tar.gz
| Download URL | path_seeker-0.1.0.tar.gz |
|---|---|
| Size | 72.1 kB |
| Tags | Source |
|
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| Uploaded via |
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