From 42d16396da77aa49661062ed6ac6cf3c037337ea Mon Sep 17 00:00:00 2001 From: Daniel Tom Date: Fri, 24 Nov 2023 14:32:02 +0100 Subject: [PATCH] Bump to pydantic 2.0 --- poetry.lock | 590 ++++++++++++++++++++++--------------- pyproject.toml | 2 +- src/pydantic_spark/base.py | 26 +- tests/test_to_spark.py | 11 +- 4 files changed, 373 insertions(+), 256 deletions(-) diff --git a/poetry.lock b/poetry.lock index 4d2294b..1c67213 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,25 +1,29 @@ -# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. +[[package]] +name = "annotated-types" +version = "0.6.0" +description = "Reusable constraint types to use with typing.Annotated" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} [[package]] name = "atomicwrites" version = "1.4.1" description = "Atomic file writes." +category = "dev" optional = 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b/pyproject.toml @@ -18,7 +18,7 @@ packages = [{ include = "pydantic_spark", from = "src"}] [tool.poetry.dependencies] python = ">=3.8,<4.0" -pydantic = "^1.4.0" +pydantic = "^2.5.2" #spark pyspark = {version=">=3.1.2,<3.3.0", optional=true} diff --git a/src/pydantic_spark/base.py b/src/pydantic_spark/base.py index bc743e9..b503599 100644 --- a/src/pydantic_spark/base.py +++ b/src/pydantic_spark/base.py @@ -14,10 +14,6 @@ class CoerceType(str, Enum): timestamp = "timestamp" -class CoerceTypeError(Exception): - pass - - class SparkBase(BaseModel): """This is base pydantic class that will add some methods""" @@ -33,8 +29,8 @@ def _spark_schema(schema: dict) -> dict: classes_seen = {} def get_definition(ref: str, schema: dict): - id = ref.replace("#/definitions/", "") - d = schema.get("definitions", {}).get(id) + id = ref.replace("#/$defs/", "") + d = schema.get("$defs", {}).get(id) if d is None: raise RuntimeError(f"Definition {id} does not exist") return d @@ -47,7 +43,7 @@ def get_type_of_definition(ref: str, schema: dict): enum_type = d.get("type") if enum_type == "string": return "string" - elif enum_type == "number": + elif enum_type == "numeric": return "double" elif enum_type == "integer": return "long" @@ -62,12 +58,15 @@ def get_type_of_definition(ref: str, schema: dict): def get_type(value: dict) -> Tuple[str, dict]: """Returns a type of single field""" t = value.get("type") + ao = value.get("anyOf") f = value.get("format") r = value.get("$ref") a = value.get("additionalProperties") - e = value.get("json_schema_extra", {}) - ft = e.get("coerce_type") + ft = value.get("coerce_type") metadata = {} + if ao is not None: + t = ao[0].get("type") + f = ao[0].get("format") if "default" in value: metadata["default"] = value.get("default") if r is not None: @@ -78,9 +77,7 @@ def get_type(value: dict) -> Tuple[str, dict]: spark_type = get_type_of_definition(r, schema) classes_seen[class_name] = spark_type elif ft is not None: - if not isinstance(ft, CoerceType): - raise CoerceTypeError("coerce_type must be of type CoerceType") - spark_type = ft.value + spark_type = ft elif t == "array": items = value.get("items") tn, metadata = get_type(items) @@ -103,6 +100,8 @@ def get_type(value: dict) -> Tuple[str, dict]: metadata["logicalType"] = "uuid" elif t == "string": spark_type = "string" + elif t == "null": + spark_type = "string" elif t == "number": spark_type = "double" elif t == "integer": @@ -129,13 +128,12 @@ def get_fields(s: dict) -> List[dict]: """Return a list of fields of a struct""" fields = [] - required = s.get("required", []) for key, value in s.get("properties", {}).items(): spark_type, metadata = get_type(value) metadata["parentClass"] = s.get("title") struct_field = { "name": key, - "nullable": "default" not in metadata and key not in required, + "nullable": "default" not in metadata and value.get("anyOf") is not None, "metadata": metadata, "type": spark_type, } diff --git a/tests/test_to_spark.py b/tests/test_to_spark.py index 0266c06..2082cda 100644 --- a/tests/test_to_spark.py +++ b/tests/test_to_spark.py @@ -4,7 +4,6 @@ from typing import Dict, List, Optional from uuid import UUID -import pytest from pydantic import Field from pyspark.sql.types import ( ArrayType, @@ -20,7 +19,7 @@ TimestampType, ) -from pydantic_spark.base import CoerceType, CoerceTypeError, SparkBase +from pydantic_spark.base import CoerceType, SparkBase class Nested2Model(SparkBase): @@ -296,14 +295,6 @@ class TestCoerceType(SparkBase): assert result["fields"][0]["type"] == "integer" -def test_coerce_type_invalid(): - class TestCoerceType(SparkBase): - c1: int = Field(json_schema_extra={"coerce_type": "integer"}) - - with pytest.raises(CoerceTypeError): - TestCoerceType.spark_schema() - - class Nested2ModelCoerceType(SparkBase): c111: str = Field(json_schema_extra={"coerce_type": CoerceType.integer})