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python-experimental adds DecimalSchema (#11282)

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* Fixes test

* Adds decimal examples to the pythonExp generator

* Adds isDecimal to CodegenModel, updates python-exp samples

* Fixes decimal types in ObjectModelWIthDecimalProperties and DecimalPayload

* Updates tests

* Decimal feature added to python-exp docs

* Samples and docs regenerated
This commit is contained in:
Justin Black
2022-01-11 21:51:50 -08:00
committed by GitHub
parent ce04e9b6a2
commit 95a1154c20
314 changed files with 1379 additions and 680 deletions
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docs/generators/python-experimental.md
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@@ -11,7 +11,7 @@ title: Documentation for the python-experimental Generator
| generator type | CLIENT | |
| generator language | Python | |
| generator language version | >=3.9 | |
| helpTxt | Generates a Python client library<br /><br />Features in this generator:<br />- type hints on endpoints and model creation<br />- model parameter names use the spec defined keys and cases<br />- robust composition (oneOf/anyOf/allOf) where paload data is stored in one instance only<br />- endpoint parameter names use the spec defined keys and cases<br />- inline schemas are supported at any location including composition<br />- multiple content types supported in request body and response bodies<br />- run time type checking<br />- quicker load time for python modules (a single endpoint can be imported and used without loading others)<br />- all instances of schemas dynamically inherit from all matching schemas so one can use isinstance to check if validation passed<br />- composed schemas with type constraints supported (type:object + oneOf/anyOf/allOf)<br />- schemas are not coerced/cast. For example string + date are both stored as string, and there is a date accessor<br /> - Exceptions: int/float is stored as Decimal, When receiving data from headers it will start as str and may need to be cast for example to int | |
| helpTxt | Generates a Python client library<br /><br />Features in this generator:<br />- type hints on endpoints and model creation<br />- model parameter names use the spec defined keys and cases<br />- robust composition (oneOf/anyOf/allOf) where paload data is stored in one instance only<br />- endpoint parameter names use the spec defined keys and cases<br />- inline schemas are supported at any location including composition<br />- multiple content types supported in request body and response bodies<br />- run time type checking<br />- Sending/receiving decimals as strings supported with type:string format: number -> DecimalSchema<br />- quicker load time for python modules (a single endpoint can be imported and used without loading others)<br />- all instances of schemas dynamically inherit from all matching schemas so one can use isinstance to check if validation passed<br />- composed schemas with type constraints supported (type:object + oneOf/anyOf/allOf)<br />- schemas are not coerced/cast. For example string + date are both stored as string, and there is a date accessor<br /> - Exceptions: int/float is stored as Decimal, When receiving data from headers it will start as str and may need to be cast for example to int | |
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