| Name | jsj JSON |
| Version |
0.3.4
JSON |
| download |
| home_page | None |
| Summary | JavaScript QoL for JSON in python |
| upload_time | 2024-08-10 21:54:29 |
| maintainer | None |
| docs_url | None |
| author | Mark Tobin |
| requires_python | >=3.12 |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# JSJ
JavaScript QoL for JSON in python.
## Motivation
Being familiar with Python and with JavaScript, there was something that I just couldn't get over with JavaScript that python just doesn't have, dot notation for json. This library seeks to solve python json issues in a variety of domains.
## Basic Usage
```python
from jsj import *
url = "https://api.weather.gov/points/39.7632,-101.6483"
data = fetch(url) \
.json() \
.get_data()
assert data.properties.timeZone == "America/Chicago"
```
## Requesting and flattening JSON
JSJ can flatten JSON documents, just like the `pandas.normalize_json()` function.
```python
from jsj import *
# Some sample data
data = JSON([
{
"id": 1,
"name": "Cole Volk",
"fitness": {"height": 130, "weight": 60},
},
{"name": "Mark Reg", "fitness": {"height": 130, "weight": 60}},
{
"id": 2,
"name": "Faye Raker",
"fitness": {"height": 130, "weight": 60},
},
])
data_flattened, keys = data.flatten()
assert data_flattened[0] == {
"id": 1,
"name": "Cole Volk",
"fitness_height": 130,
"fitness_weight": 60,
}
```
## Getting the albums released by an artist
```python
# Sets the URLs `artist` parameter to Post Malone
url = "https://musicbrainz.org/ws/2/release?artist=b1e26560-60e5-4236-bbdb-9aa5a8d5ee19&type=album|ep&fmt=json"
# Fetches, flattens and gets the titles to all releases
albums = fetch(url) \
.json() \
.then(lambda data: data.flatten(base=["releases"])[0]) \
.then(lambda data: [item.title for item in data]) \
.get_data()
assert {"Stoney", "Hollywood’s Bleeding", "beerbongs & bentleys"}.issubset(albums)
```
## Installation
This package is available on pip
```
pip install jsj
```
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"description": "# JSJ\nJavaScript QoL for JSON in python.\n## Motivation\nBeing familiar with Python and with JavaScript, there was something that I just couldn't get over with JavaScript that python just doesn't have, dot notation for json. This library seeks to solve python json issues in a variety of domains.\n## Basic Usage\n```python\nfrom jsj import *\n\nurl = \"https://api.weather.gov/points/39.7632,-101.6483\"\n\ndata = fetch(url) \\\n .json() \\\n .get_data()\n\nassert data.properties.timeZone == \"America/Chicago\"\n```\n\n## Requesting and flattening JSON\nJSJ can flatten JSON documents, just like the `pandas.normalize_json()` function.\n```python\nfrom jsj import *\n# Some sample data\ndata = JSON([\n {\n \"id\": 1,\n \"name\": \"Cole Volk\",\n \"fitness\": {\"height\": 130, \"weight\": 60},\n },\n {\"name\": \"Mark Reg\", \"fitness\": {\"height\": 130, \"weight\": 60}},\n {\n \"id\": 2,\n \"name\": \"Faye Raker\",\n \"fitness\": {\"height\": 130, \"weight\": 60},\n },\n])\n\ndata_flattened, keys = data.flatten()\n\nassert data_flattened[0] == {\n \"id\": 1,\n \"name\": \"Cole Volk\",\n \"fitness_height\": 130,\n \"fitness_weight\": 60,\n}\n```\n\n## Getting the albums released by an artist\n```python\n# Sets the URLs `artist` parameter to Post Malone\nurl = \"https://musicbrainz.org/ws/2/release?artist=b1e26560-60e5-4236-bbdb-9aa5a8d5ee19&type=album|ep&fmt=json\"\n# Fetches, flattens and gets the titles to all releases\nalbums = fetch(url) \\\n .json() \\\n .then(lambda data: data.flatten(base=[\"releases\"])[0]) \\\n .then(lambda data: [item.title for item in data]) \\\n .get_data()\n\nassert {\"Stoney\", \"Hollywood\u2019s Bleeding\", \"beerbongs & bentleys\"}.issubset(albums)\n```\n\n## Installation\nThis package is available on pip\n```\npip install jsj\n```\n",
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