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10 Commits
v0.1.5.pos
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v0.1.6.pos
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| 6440c30a91 | |||
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19d1f72951
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02a28c9586
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eee32a02ae
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| 00802744dd | |||
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dd2e7d221c
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558abf5d40
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| 70afa80ccf | |||
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422cc2efe0
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dd31f62ef2 |
@@ -1,7 +1,7 @@
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repos:
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- repo: https://github.com/astral-sh/ruff-pre-commit
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# Ruff version.
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rev: v0.11.4
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rev: v0.14.7
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hooks:
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# Run the linter.
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- id: ruff
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5
.github/workflows/build.yml
vendored
5
.github/workflows/build.yml
vendored
@@ -23,6 +23,7 @@ jobs:
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- "3.11"
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- "3.12"
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- "3.13"
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- "3.14"
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steps:
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- uses: actions/checkout@v4
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@@ -31,7 +32,7 @@ jobs:
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uses: astral-sh/setup-uv@v5
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with:
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# Install a specific version of uv.
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version: "0.6.14"
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version: "0.9.15"
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enable-cache: true
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cache-dependency-glob: "uv.lock"
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python-version: ${{ matrix.python-version }}
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@@ -68,7 +69,7 @@ jobs:
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uses: astral-sh/setup-uv@v5
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with:
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# Install a specific version of uv.
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version: "0.6.14"
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version: "0.9.15"
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enable-cache: true
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cache-dependency-glob: "uv.lock"
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1
.python-version
Normal file
1
.python-version
Normal file
@@ -0,0 +1 @@
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3.14
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@@ -2,8 +2,8 @@ from jambo.exceptions import InvalidSchemaException
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from jambo.parser._type_parser import GenericTypeParser
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from jambo.types.type_parser_options import TypeParserOptions
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from pydantic import AnyUrl, EmailStr
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from typing_extensions import Any, Unpack
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from pydantic import AnyUrl, EmailStr, TypeAdapter, ValidationError
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from typing_extensions import Unpack
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from datetime import date, datetime, time, timedelta
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from ipaddress import IPv4Address, IPv6Address
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@@ -62,37 +62,19 @@ class StringTypeParser(GenericTypeParser):
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if format_type in self.format_pattern_mapping:
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mapped_properties["pattern"] = self.format_pattern_mapping[format_type]
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try:
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if "examples" in mapped_properties:
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mapped_properties["examples"] = [
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self._parse_example(example, format_type, mapped_type)
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TypeAdapter(mapped_type).validate_python(example)
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for example in mapped_properties["examples"]
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]
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except ValidationError as err:
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raise InvalidSchemaException(
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f"Invalid example type for field {name}."
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) from err
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if "json_schema_extra" not in mapped_properties:
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mapped_properties["json_schema_extra"] = {}
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mapped_properties["json_schema_extra"]["format"] = format_type
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return mapped_type, mapped_properties
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def _parse_example(
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self, example: Any, format_type: str, mapped_type: type[Any]
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) -> Any:
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"""
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Parse example from JSON Schema format to python format
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:param example: Example Value
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:param format_type: Format Type
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:param mapped_type: Type to parse
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:return: Example parsed
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"""
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match format_type:
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case "date" | "time" | "date-time":
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return mapped_type.fromisoformat(example)
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case "duration":
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# TODO: Implement duration parser
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raise NotImplementedError
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case "ipv4" | "ipv6":
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return mapped_type(example)
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case "uuid":
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return mapped_type(example)
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case _:
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return example
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@@ -5,7 +5,7 @@ from jambo.types import JSONSchema, RefCacheDict
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from jsonschema.exceptions import SchemaError
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from jsonschema.validators import validator_for
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from pydantic import BaseModel
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from typing_extensions import Optional
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from typing_extensions import MutableMapping, Optional
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class SchemaConverter:
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@@ -17,8 +17,10 @@ class SchemaConverter:
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fields and types. The generated model can be used for data validation and serialization.
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"""
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_namespace_registry: MutableMapping[str, RefCacheDict]
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def __init__(
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self, namespace_registry: Optional[dict[str, RefCacheDict]] = None
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self, namespace_registry: Optional[MutableMapping[str, RefCacheDict]] = None
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) -> None:
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if namespace_registry is None:
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namespace_registry = dict()
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@@ -129,9 +131,7 @@ class SchemaConverter:
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:param ref_name: The name of the reference to get.
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:return: The cached reference, or None if not found.
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"""
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cached_type = self._namespace_registry.get(
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namespace, {}
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).get(ref_name)
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cached_type = self._namespace_registry.get(namespace, {}).get(ref_name)
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if isinstance(cached_type, type):
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return cached_type
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@@ -17,6 +17,7 @@ classifiers = [
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Programming Language :: Python :: 3.14",
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]
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license = "MIT"
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readme = "README.md"
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@@ -3,7 +3,6 @@ from jambo.parser import StringTypeParser
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from pydantic import AnyUrl, EmailStr
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import unittest
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from datetime import date, datetime, time, timedelta, timezone
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from ipaddress import IPv4Address, IPv6Address, ip_address
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from unittest import TestCase
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@@ -121,7 +120,7 @@ class TestStringTypeParser(TestCase):
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type_parsing, type_validator = parser.from_properties("placeholder", properties)
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self.assertEqual(type_parsing, AnyUrl)
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self.assertEqual(type_validator["examples"], ["test://domain/resource"])
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self.assertEqual(type_validator["examples"], [AnyUrl("test://domain/resource")])
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def test_string_parser_with_ip_formats(self):
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parser = StringTypeParser()
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@@ -299,7 +298,6 @@ class TestStringTypeParser(TestCase):
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},
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)
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@unittest.skip("Duration parsing not yet implemented")
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def test_string_parser_with_timedelta_format(self):
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parser = StringTypeParser()
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@@ -315,9 +313,9 @@ class TestStringTypeParser(TestCase):
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self.assertEqual(
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type_validator["examples"],
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[
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timedelta(days=7),
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timedelta(days=428, hours=4, minutes=5, seconds=6),
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timedelta(minutes=30),
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timedelta(hours=4, minutes=5, seconds=6),
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timedelta(days=7),
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timedelta(seconds=0.5),
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],
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)
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@@ -1166,5 +1166,7 @@ class TestSchemaConverter(TestCase):
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self.converter.clear_ref_cache(namespace=namespace)
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cleared_cached_model = self.converter.get_cached_ref("Person", namespace=namespace)
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cleared_cached_model = self.converter.get_cached_ref(
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"Person", namespace=namespace
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)
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self.assertIsNone(cleared_cached_model)
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Reference in New Issue
Block a user