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Web tool for generating Pydantic models from JSON objects

Home Page: https://jsontopydantic.com

License: MIT License

Python 15.66% HTML 18.02% CSS 12.45% TypeScript 53.87%

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matthieudesprez codejunction okoibraun scottluu michaelwooley bvanelli techthiyanes sunfkny

jsontopydantic's Issues

what's the size/nest level limitation of the tool?

I tried loading large json(via webpage) with nested elements and seems it stuck "loading..." and doesn't output the pydantic class .

Json:

{"digital.ms.price.":{"popRelationship":null,"role":"Price","taxIncluded":"Included","priceCharacteristic":null,"recurringChargePeriodType":null,"description":{"en-US":"u 8GBprice"},"type":"TablePrice","recurringChargePeriodLength":null,"priceEvent":null,"priceRecord":[{"priority":0,"priceRecordId":"c9902af4-53ff-438e-aeb8-47c90c1381fc","price":[{"priceReduction":null,"id":"4093ddc4-7bd9-434f-996f-adf59f86d61b","validFor":{"endDateTime":null,"startDateTime":"2018-11-21T00:00:00Z"},"taxIncludedAmount":{"value":"26700.0","unit":"IDR"},"percentage":null,"dutyFreeAmount":null}],"parameter":{"SalesChannel":{"name":"SalesChannel","valueTo":null,"unitOfMeasure":null,"value":"Any_Value","valueFrom":null},"TIERED_PRICING_COUNTER":{"name":"TIERED_PRICING_COUNTER","valueTo":null,"unitOfMeasure":null,"value":"0","valueFrom":null}}},{"priority":0,"priceRecordId":"f177993b-2275-4d41-9f92-7a0aa453d12c","price":[{"priceReduction":null,"id":"046fca9e-dbdb-4480-8d7b-ea39473715af","validFor":{"endDateTime":null,"startDateTime":"2018-11-21T00:00:00Z"},"taxIncludedAmount":{"value":"26700.0","unit":"IDR"},"percentage":null,"dutyFreeAmount":null}],"parameter":{"SalesChannel":{"name":"SalesChannel","valueTo":null,"unitOfMeasure":null,"value":"Any_Value","valueFrom":null},"TIERED_PRICING_COUNTER":{"name":"TIERED_PRICING_COUNTER","valueTo":null,"unitOfMeasure":null,"value":"999","valueFrom":null}}}],"installments":null,"price":[],"priceCategory":null,"immediatePayOption":{"payOption":"Optional","payImmediately":null,"payAmount":null,"minPayAmount":null},"currency":"IDR","id":"00be0e7f-51d3-4793-bc9c-fbdf036dab85","overrideOption":[{"allowWaive":true,"extension":null,"userRole":null,"maxIncreaseValue":{"amount":{"value":"99999","unit":"IDR"},"taxIncludedAmount":null,"percentage":null,"dutyFreeAmount":null},"allowOverride":true,"maxDecreaseValue":{"amount":null,"taxIncludedAmount":null,"percentage":100,"dutyFreeAmount":null}}],"priceAlterationCategory":null,"key":{"sequence":"00be0e7f-51d3-4793-bc9c-fbdf036dab85","keyString":"2ed2f2a1-2e04-4870-bc4b-8479a7f87e7c_00be0e7f-51d3-4793-bc9c-fbdf036dab85","entityType":"2ed2f2a1-2e04-4870-bc4b-8479a7f87e7c","onlySequence":false},"policy":{"name":[{"locale":"en-US","value":"Tiered_pricing_policy_for_RC"}],"id":"ed536645-d038-4d55-a771-2e72b7e9789f"},"owner":"D1","unitOfMeasure":null,"validFor":{"endDateTime":null,"startDateTime":"2018-11-21T00:00:00Z"},"priceDifference":null,"priceType":"OC","isVersion":null,"effectivenessPolicy":null,"priceParameterAdditionalData":null,"keyPathMap":{"2ed2f2a1-2e04-4870-bc4b-8479a7f87e7c_00be0e7f-51d3-4793-bc9c-fbdf036dab85":""},"name":{"en-US":"23rad price"}}}

```

Missing license

Hi! I think this project & website are great, but I wasn't able to use them because there's no license. I ended up using datamodel-code-generator directly, with some additional effort, since I wasn't sure what the terms of use were from outputs from your code or website. I would love to use this in the future!

error: invalid json

Guys error invalid json

hugs guys

Nested fields not marked as Optional

When specify every field as Optional is checked only the top level fields are makred as optional, any nested classes are not marked as optional.

Input:

{
	"foo": 5, 
	"barBaz": {
	    "nested":"hello"
	}
}

Output

from __future__ import annotations

from typing import Optional

from pydantic import BaseModel


class BarBaz(BaseModel):
    nested: str


class Model(BaseModel):
    foo: Optional[int] = None
    barBaz: Optional[BarBaz] = None

Thanks for the useful tool!

Add option to create example

Example data is already being introduced on the base json provided. The fields could be used to provide an example to the pydantic field, which usually helps on the implementation.

I'm willing to contribute the change

Not an issue: Just wanted to say this library is awesome and saved me so much time

Close this :)

Does this allow nested json?

collaboration issues

Hi,

First of all, thanks for creating and deploying this project.

I'd like to contribute with a new feature to take advantage of Optional + snake_cased handling from datamodel-code-generator as I used it a lot locally, but I don't seem to have the right access to push anything to this repository.

Is there a specific setting that prevents me to do so ?

implementation with pyscript

Hi! Thanks for the fantastic tool.

I created an implementation which does everything client-side. I think it works pretty well, and has privacy benefits. Just wanted to let you know in case you were interested in it.

https://github.com/falkben/json-to-pydantic

Specific json conversion

The tool currently converts this json

{
  "accounts": {
    "98230": {
      "name": "BHN1",
      "status": "ACTIVE"
    },
    "57150": {
      "name": "Sec",
      "status": "ACTIVE"
    }
  }
}

to something along the lines of

class Accounts(BaseModel):
    field_98230: Field98230 = Field(..., alias='98230')
    field_57150: Field57150 = Field(..., alias='57150')


class Model(BaseModel):
    accounts: Accounts

This might be more useful result rather than having a field for each value

class Model2(BaseModel):
    accounts: Optional[OrderedDict[str, ModelItem]]

generator.py - TypeError: init() got an unexpected keyword argument 'text'

Python 3.8.8,
I'm trying to run the generator.py by itself and getting error:


root@a21f0d01a432:/webserver/myTest# python3 generator.py
Traceback (most recent call last):
  File "gen.py", line 30, in <module>
    result = translate(data)
  File "gen.py", line 18, in translate
    parser = JsonSchemaParser(
TypeError: __init__() got an unexpected keyword argument 'text'

can you tell what could be the reason?

Why import both annotations and List?

If annotations has been imported then dict, list, set, tuple will work instead of Dict, List, Set, Tuple.