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graphql-pydantic-transformer

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graphql-pydantic-transformer

Convert pydantic schema to pydantic datamodel and build request from it

  • 0.0.2
  • PyPI
  • Socket score

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1

GraphQL to Pydantic Transformer & Pydantic to Query Builder

Overview

The GraphQL to Pydantic Transformer is a Python package designed to simplify the process of transforming GraphQL schemas in JSON format into Pydantic models. This tool is particularly useful for developers working with GraphQL APIs who want to generate Pydantic models from GraphQL types for efficient data validation and serialization/deserialization.

Features

  • Converts GraphQL schemas in JSON format into Pydantic models.
  • Build query or mutation from pydantic dataclass

Installation

You can install the GraphQL to Pydantic Transformer package via pip:

pip install graphql-pydantic-transformer

Usage

Cli tool to transform GraphQL JSON to Pydantic

graphql-pydantic-converter [-h] [-i INPUT_FILE] [-o OUTPUT_FILE] [--url URL] [--headers HEADERS [HEADERS ...] ]

options:
  -h, --help            show this help message and exit
  -i INPUT_FILE, --input-file INPUT_FILE 
  -o OUTPUT_FILE, --output-file OUTPUT_FILE      
  --url URL 
  --headers HEADERS [HEADERS ...] # --headers "HeaderName: HeaderValue" "HeaderName: HeaderValue"

Output from cli tool

import typing

from pydantic import Field
from graphql_pydantic_converter.graphql_types import Input
from graphql_pydantic_converter.graphql_types import Mutation
from graphql_pydantic_converter.graphql_types import Payload

Boolean: typing.TypeAlias = bool
DateTime: typing.TypeAlias = typing.Any
Float: typing.TypeAlias = float
ID: typing.TypeAlias = str
Int: typing.TypeAlias = int
JSON: typing.TypeAlias = typing.Any
String: typing.TypeAlias = str

class CreateScheduleInput(Input):
    name: String
    workflow_name: String = Field(alias='workflowName')
    workflow_version: String = Field(alias='workflowVersion')
    cron_string: String = Field(alias='cronString')
    enabled: typing.Optional[Boolean]
    parallel_runs: typing.Optional[Boolean] = Field(alias='parallelRuns')
    workflow_context: typing.Optional[String] = Field(alias='workflowContext')
    from_date: typing.Optional[DateTime] = Field(alias='fromDate')
    to_date: typing.Optional[DateTime] = Field(alias='toDate')

class Schedule(Payload):
    name: typing.Optional[Boolean] = Field(response='String', default=True)
    enabled: typing.Optional[Boolean] = Field(response='Boolean', default=True)
    parallel_runs: typing.Optional[Boolean] = Field(response='Boolean', alias='parallelRuns', default=True)
    workflow_name: typing.Optional[Boolean] = Field(response='String', alias='workflowName', default=True)
    workflow_version: typing.Optional[Boolean] = Field(response='String', alias='workflowVersion', default=True)
    cron_string: typing.Optional[Boolean] = Field(response='String', alias='cronString', default=True)
    workflow_context: typing.Optional[Boolean] = Field(response='String', alias='workflowContext', default=True)
    from_date: typing.Optional[Boolean] = Field(response='DateTime', alias='fromDate', default=True)
    to_date: typing.Optional[Boolean] = Field(response='DateTime', alias='toDate', default=True)
    status: typing.Optional[Boolean] = Field(response='Status', default=True)


class CreateScheduleMutation(Mutation):
    _name: str = Field('createSchedule', const=True)
    input: CreateScheduleInput
    payload: Schedule

CreateScheduleInput.update_forward_refs()
CreateScheduleMutation.update_forward_refs()
Schedule.update_forward_refs()

Query & Mutation builder

from schedule_api import Schedule, CreateScheduleMutation, CreateScheduleInput

SCHEDULE: Schedule = Schedule(
    name=True,
    enabled=True,
    workflowName=True,
    workflowVersion=True,
    cronString=True,
    fromDate=False,
    toDate=False,
    status=False
)

mutation = CreateScheduleMutation(
    payload=SCHEDULE,
    input=CreateScheduleInput(
        name='name',
        workflowName='workflowName',
        workflowVersion='workflowVersion',
        cronString='* * * * *',
        enabled=True,
        parallelRuns=False,
    )
)

mutation.render()

Created query

mutation {
  createSchedule(
    input: {
      name: "name"
      workflowName: "workflowName"
      workflowVersion: "workflowVersion"
      cronString: "* * * * *"
      enabled: true
      parallelRuns: false
    }
  ) {
    name
    enabled
    parallelRuns
    workflowName
    workflowVersion
    cronString
    workflowContext
  }
}

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