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| Project | | Status |
|-----------|:----|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CI/CD | | [](https://github.com/litestar-org/fast-query-parsers/actions/workflows/publish.yaml) [](https://github.com/litestar-org/fast-query-parsers/actions/workflows/ci.yaml) |
| Package | | [](https://badge.fury.io/py/litestar)   |
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| Meta | | [](https://github.com/litestar-org/fast-query-parsers) [](https://spdx.org/licenses/) [](https://github.com/sponsors/litestar-org) [](https://github.com/astral-sh/ruff) [](https://github.com/psf/black) |
<!-- prettier-ignore-end -->
</div>
# Fast Query Parsers
This library includes ultra-fast Rust based query string and urlencoded parsers. These parsers are used
by [`Litestar`](https://github.com/litestar-org/litestar), but are developed separately - and can of course be used separately.
> [!IMPORTANT]\
> [**_Starlite has been renamed to Litestar_**](https://litestar.dev/about/organization.html#litestar-and-starlite)
</div>
## Installation
```shell
pip install fast-query-parsers
```
## Usage
The library exposes two function `parse_query_string` and `parse_url_encoded_dict`.
### `parse_query_string`
This function is used to parse a query string into a list of key/value tuples.
```python
from fast_query_parsers import parse_query_string
result = parse_query_string(b"value=1&value=2&type=dollar&country=US", "&")
# [("value", "1"), ("value", "2"), ("type", "dollar"), ("country", "US")]
```
The first argument to this function is a byte string that includes the query string to be parsed, the second argument is
the separator used.
#### Benchmarks
Query string parsing is more than x5 times faster than the standard library:
```text
stdlib parse_qsl parsing query string: Mean +- std dev: 2.86 us +- 0.03 us
.....................
parse_query_string parsing query string: Mean +- std dev: 916 ns +- 13 ns
.....................
stdlib parse_qsl parsing urlencoded query string: Mean +- std dev: 8.30 us +- 0.10 us
.....................
parse_query_string urlencoded query string: Mean +- std dev: 1.50 us +- 0.03 us
```
### `parse_url_encoded_dict`
This function is used to parse a url-encoded form data dictionary and parse it into the python equivalent of JSON types.
```python
from urllib.parse import urlencode
from fast_query_parsers import parse_url_encoded_dict
encoded = urlencode(
[
("value", "10"),
("value", "12"),
("veggies", '["tomato", "potato", "aubergine"]'),
("nested", '{"some_key": "some_value"}'),
("calories", "122.53"),
("healthy", "true"),
("polluting", "false"),
("json", "null"),
]
).encode()
result = parse_url_encoded_dict(encoded, parse_numbers=True)
# result == {
# "value": [10, 12],
# "veggies": ["tomato", "potato", "aubergine"],
# "nested": {"some_key": "some_value"},
# "calories": 122.53,
# "healthy": True,
# "polluting": False,
# "json": None,
# }
```
This function handles type conversions correctly - unlike the standard library function `parse_qs`. Additionally, it
does not nest all values inside lists.
Note: the second argument passed to `parse_url_encoded_dict` dictates whether numbers should be parsed. If `True`,
the value will be parsed into an int or float as appropriate, otherwise it will be kept as a string.
By default the value of this arg is `True`.
#### Benchmarks
Url Encoded parsing is more than x2 times faster than the standard library, without accounting for parsing of values:
```text
stdlib parse_qs parsing url-encoded values into dict: Mean +- std dev: 8.99 us +- 0.09 us
.....................
parse_url_encoded_dict parse url-encoded values into dict: Mean +- std dev: 3.77 us +- 0.08 us
```
To actually mimic the parsing done by `parse_url_encoded_dict` we will need a utility along these lines:
```python
from collections import defaultdict
from contextlib import suppress
from json import loads, JSONDecodeError
from typing import Any, DefaultDict, Dict, List
from urllib.parse import parse_qsl
def parse_url_encoded_form_data(encoded_data: bytes) -> Dict[str, Any]:
"""Parse an url encoded form data into dict of parsed values"""
decoded_dict: DefaultDict[str, List[Any]] = defaultdict(list)
for k, v in parse_qsl(encoded_data.decode(), keep_blank_values=True):
with suppress(JSONDecodeError):
v = loads(v) if isinstance(v, str) else v
decoded_dict[k].append(v)
return {k: v if len(v) > 1 else v[0] for k, v in decoded_dict.items()}
```
With the above, the benchmarks looks like so:
```text
python parse_url_encoded_form_data parsing url-encoded values into dict: Mean +- std dev: 19.7 us +- 0.1 us
.....................
parse_url_encoded_dict parsing url-encoded values into dict: Mean +- std dev: 3.69 us +- 0.03 us
```
## Contributing
All contributions are of course welcome!
### Repository Setup
1. Run `cargo install` to setup the rust dependencies and `poetry install` to setup the python dependencies.
2. Install the pre-commit hooks with `pre-commit install` (requires [pre-commit](https://pre-commit.com/)).
### Building
Run `poetry run maturin develop --release --strip` to install a release wheel (without debugging info). This wheel can be
used in tests and benchmarks.
### Benchmarking
There are basic benchmarks using pyperf in place. To run these execute `poetry run python benchrmarks.py`.
Raw data
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"description": "<!-- markdownlint-disable -->\n<p align=\"center\">\n <img src=\"https://github.com/litestar-org/branding/blob/473f54621e55cde9acbb6fcab7fc03036173eb3d/assets/Branding%20-%20SVG%20-%20Transparent/Logo%20-%20Banner%20-%20Inline%20-%20Light.svg#gh-light-mode-only\" alt=\"Litestar Logo - Light\" width=\"100%\" height=\"auto\" />\n <img src=\"https://github.com/litestar-org/branding/blob/473f54621e55cde9acbb6fcab7fc03036173eb3d/assets/Branding%20-%20SVG%20-%20Transparent/Logo%20-%20Banner%20-%20Inline%20-%20Dark.svg#gh-dark-mode-only\" alt=\"Litestar Logo - Dark\" width=\"100%\" height=\"auto\" />\n</p>\n<!-- markdownlint-restore -->\n\n<div align=\"center\">\n\n<!-- prettier-ignore-start -->\n\n| Project | | Status |\n|-----------|:----|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| CI/CD | | [](https://github.com/litestar-org/fast-query-parsers/actions/workflows/publish.yaml) [](https://github.com/litestar-org/fast-query-parsers/actions/workflows/ci.yaml) |\n| Package | | [](https://badge.fury.io/py/litestar)   |\n| Community | | [](https://reddit.com/r/litestarapi) [](https://discord.gg/X3FJqy8d2j) [](https://matrix.to/#/#litestar:matrix.org) [](https://blog.litestar.dev) [](https://twitter.com/LitestarAPI) [](https://blog.litestar.dev) |\n| Meta | | [](https://github.com/litestar-org/fast-query-parsers) [](https://spdx.org/licenses/) [](https://github.com/sponsors/litestar-org) [](https://github.com/astral-sh/ruff) [](https://github.com/psf/black) |\n\n<!-- prettier-ignore-end -->\n</div>\n\n# Fast Query Parsers\n\nThis library includes ultra-fast Rust based query string and urlencoded parsers. These parsers are used\nby [`Litestar`](https://github.com/litestar-org/litestar), but are developed separately - and can of course be used separately.\n\n> [!IMPORTANT]\\\n> [**_Starlite has been renamed to Litestar_**](https://litestar.dev/about/organization.html#litestar-and-starlite)\n\n</div>\n\n## Installation\n\n```shell\npip install fast-query-parsers\n```\n\n## Usage\n\nThe library exposes two function `parse_query_string` and `parse_url_encoded_dict`.\n\n### `parse_query_string`\n\nThis function is used to parse a query string into a list of key/value tuples.\n\n```python\nfrom fast_query_parsers import parse_query_string\n\nresult = parse_query_string(b\"value=1&value=2&type=dollar&country=US\", \"&\")\n# [(\"value\", \"1\"), (\"value\", \"2\"), (\"type\", \"dollar\"), (\"country\", \"US\")]\n```\n\nThe first argument to this function is a byte string that includes the query string to be parsed, the second argument is\nthe separator used.\n\n#### Benchmarks\n\nQuery string parsing is more than x5 times faster than the standard library:\n\n```text\nstdlib parse_qsl parsing query string: Mean +- std dev: 2.86 us +- 0.03 us\n.....................\nparse_query_string parsing query string: Mean +- std dev: 916 ns +- 13 ns\n.....................\nstdlib parse_qsl parsing urlencoded query string: Mean +- std dev: 8.30 us +- 0.10 us\n.....................\nparse_query_string urlencoded query string: Mean +- std dev: 1.50 us +- 0.03 us\n```\n\n### `parse_url_encoded_dict`\n\nThis function is used to parse a url-encoded form data dictionary and parse it into the python equivalent of JSON types.\n\n```python\nfrom urllib.parse import urlencode\n\nfrom fast_query_parsers import parse_url_encoded_dict\n\nencoded = urlencode(\n [\n (\"value\", \"10\"),\n (\"value\", \"12\"),\n (\"veggies\", '[\"tomato\", \"potato\", \"aubergine\"]'),\n (\"nested\", '{\"some_key\": \"some_value\"}'),\n (\"calories\", \"122.53\"),\n (\"healthy\", \"true\"),\n (\"polluting\", \"false\"),\n (\"json\", \"null\"),\n ]\n).encode()\n\nresult = parse_url_encoded_dict(encoded, parse_numbers=True)\n\n# result == {\n# \"value\": [10, 12],\n# \"veggies\": [\"tomato\", \"potato\", \"aubergine\"],\n# \"nested\": {\"some_key\": \"some_value\"},\n# \"calories\": 122.53,\n# \"healthy\": True,\n# \"polluting\": False,\n# \"json\": None,\n# }\n```\n\nThis function handles type conversions correctly - unlike the standard library function `parse_qs`. Additionally, it\ndoes not nest all values inside lists.\n\nNote: the second argument passed to `parse_url_encoded_dict` dictates whether numbers should be parsed. If `True`,\nthe value will be parsed into an int or float as appropriate, otherwise it will be kept as a string.\nBy default the value of this arg is `True`.\n\n#### Benchmarks\n\nUrl Encoded parsing is more than x2 times faster than the standard library, without accounting for parsing of values:\n\n```text\nstdlib parse_qs parsing url-encoded values into dict: Mean +- std dev: 8.99 us +- 0.09 us\n.....................\nparse_url_encoded_dict parse url-encoded values into dict: Mean +- std dev: 3.77 us +- 0.08 us\n```\n\nTo actually mimic the parsing done by `parse_url_encoded_dict` we will need a utility along these lines:\n\n```python\nfrom collections import defaultdict\nfrom contextlib import suppress\nfrom json import loads, JSONDecodeError\nfrom typing import Any, DefaultDict, Dict, List\nfrom urllib.parse import parse_qsl\n\n\ndef parse_url_encoded_form_data(encoded_data: bytes) -> Dict[str, Any]:\n \"\"\"Parse an url encoded form data into dict of parsed values\"\"\"\n decoded_dict: DefaultDict[str, List[Any]] = defaultdict(list)\n for k, v in parse_qsl(encoded_data.decode(), keep_blank_values=True):\n with suppress(JSONDecodeError):\n v = loads(v) if isinstance(v, str) else v\n decoded_dict[k].append(v)\n return {k: v if len(v) > 1 else v[0] for k, v in decoded_dict.items()}\n```\n\nWith the above, the benchmarks looks like so:\n\n```text\npython parse_url_encoded_form_data parsing url-encoded values into dict: Mean +- std dev: 19.7 us +- 0.1 us\n.....................\nparse_url_encoded_dict parsing url-encoded values into dict: Mean +- std dev: 3.69 us +- 0.03 us\n```\n\n## Contributing\n\nAll contributions are of course welcome!\n\n### Repository Setup\n\n1. Run `cargo install` to setup the rust dependencies and `poetry install` to setup the python dependencies.\n2. Install the pre-commit hooks with `pre-commit install` (requires [pre-commit](https://pre-commit.com/)).\n\n### Building\n\nRun `poetry run maturin develop --release --strip` to install a release wheel (without debugging info). This wheel can be\nused in tests and benchmarks.\n\n### Benchmarking\n\nThere are basic benchmarks using pyperf in place. To run these execute `poetry run python benchrmarks.py`.\n\n",
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