CodeSampleX

サンプル

pydantic 2.13.4: model_validator

検証済みサンプル — pypi pydantic 2.13.4: model_validator. python 3.12 · linux debian/x64 · docker で contract を実行し、成功しました: assert @model_validator(mode='before')…

sha256:8fe334657d0d3368c2a9e310d3d3cf9765c5da9054a2ac593bd20003353bf4cc

このネットワークが提供するのは一つだけです。ビルドされるサンプル。サンドボックスで実行し、署名済みの受領証を保管します。等級はつけず、何も保証しません — 同じコードがあなたの環境でビルドされるかは測定していません。 合格した契約受領証を提出した異なる署名鍵の数です。1 なら作者だけ、2 以上なら他の誰かもビルドしています。鍵は自己生成で背後に登録された身元がないため、数えているのは人ではなく鍵です。 MIT-0

実行証拠

宣言された環境と署名済みの実行を分けてあります。このサンプルが何をどこで実行したかをそのまま確認できます。

証拠の基準
署名済みコントラクト合格
検証レシート
1
ビルドした署名鍵
1
宣言された環境 linux 24 · ubuntu · glibc 2.39 x64 pip

検証実行環境

環境 コントラクト ステージ 実行日
python 3.12 · linux debian/x64 · docker ed25519:c1973797be207ac4 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · python@1python:3.12-slim@sha256:09f7da3bc104…		 2026-09-01

ケース

HOW
ゴール
verify pydantic.model_validator in pkg:pypi/pydantic@2.13.4
パッケージ
シンボル
  • pydantic.model_validator
作成日
2026-09-01T20:40:18Z

コントラクト

  1. assert @model_validator(mode='before') transforms raw input dictionary keys and formats before field validation
  2. assert @model_validator(mode='before') raises ValidationError when raw input fails structural validation
  3. assert @model_validator(mode='after') validates cross-field invariants on model instances and returns self
  4. assert @model_validator(mode='wrap') intercepts validation pipeline via handler callable to provide fallback handling

ファイル

  • PROMPT.md
  • csx.json
  • pyproject.toml
  • requirements.txt
  • spec.json
  • test/contract.py
  • uv.lock

ソースアーティファクトをダウンロード (tar.gz)

ソース

PROMPT.md
Clean-room public code sample — generation instructions

Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.

A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.

Goal: verify pydantic.model_validator in pkg:pypi/pydantic@2.13.4
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:pypi/pydantic@2.13.4
Demonstrate these symbols/APIs:
  - pydantic.model_validator

Rules:
  - One focused purpose; the smallest project that proves the goal.
  - Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
  - Pin every dependency with a lockfile so resolution is reproducible.
  - No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
  - No personal names, emails, company names, or project identifiers of any kind.
  - No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
  - Keep it under 200 files and 256KB packed.
csx.json
{"case":{"caseId":"case:sha256:00918121eb9a39a11f160d61b3b560352832668c93e7beef93de07c5431d3764","contract":["assert @model_validator(mode='before') transforms raw input dictionary keys and formats before field validation","assert @model_validator(mode='before') raises ValidationError when raw input fails structural validation","assert @model_validator(mode='after') validates cross-field invariants on model instances and returns self","assert @model_validator(mode='wrap') intercepts validation pipeline via handler callable to provide fallback handling"],"goal":"verify pydantic.model_validator in pkg:pypi/pydantic@2.13.4","kind":"HOW","packages":["pkg:pypi/pydantic@2.13.4"],"schemaVersion":1,"symbols":["pydantic.model_validator"]},"contractCommand":["python3","test/contract.py"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"pypi","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"pip","schemaVersion":1},"license":"MIT-0","packages":["pkg:pypi/pydantic@2.13.4"],"schemaVersion":1,"subject":"pkg:pypi/pydantic@2.13.4","symbols":["pydantic.model_validator"],"verifierAdapter":"python@1"}
pyproject.toml
[project]
name = "verify-pydantic-model-validator"
version = "0.1.0"
dependencies = [
    "pydantic==2.13.4",
]
requirements.txt
pydantic==2.13.4
spec.json
{
  "schemaVersion": 1,
  "goal": "verify pydantic.model_validator in pkg:pypi/pydantic@2.13.4",
  "kind": "HOW",
  "packages": [
    "pkg:pypi/pydantic@2.13.4"
  ],
  "symbols": [
    "pydantic.model_validator"
  ]
}
test/contract.py
from typing import Any
import pydantic
from pydantic import BaseModel, ValidationError, model_validator


def test_model_validator_mode_before_transformation():
    class Item(BaseModel):
        id: int
        name: str

        @model_validator(mode="before")
        @classmethod
        def transform_alias_and_defaults(cls, data: Any) -> Any:
            if isinstance(data, dict):
                data = dict(data)
                if "identifier" in data and "id" not in data:
                    data["id"] = data.pop("identifier")
                if "name" in data and isinstance(data["name"], str):
                    data["name"] = data["name"].strip().title()
            return data

    item = Item.model_validate({"identifier": "42", "name": "  widget item  "})
    assert item.id == 42
    assert item.name == "Widget Item"


def test_model_validator_mode_before_rejection():
    class StrictPayload(BaseModel):
        tag: str

        @model_validator(mode="before")
        @classmethod
        def require_dict_with_tag(cls, data: Any) -> Any:
            if not isinstance(data, dict):
                raise ValueError("input must be a dictionary")
            if "tag" not in data or not data["tag"]:
                raise ValueError("tag field cannot be empty")
            return data

    try:
        StrictPayload.model_validate(["invalid", "type"])
        assert False, "Should have raised ValidationError for non-dict input"
    except ValidationError as exc:
        errors = exc.errors()
        assert len(errors) == 1
        assert "input must be a dictionary" in errors[0]["msg"]

    try:
        StrictPayload.model_validate({"tag": ""})
        assert False, "Should have raised ValidationError for empty tag"
    except ValidationError as exc:
        errors = exc.errors()
        assert len(errors) == 1
        assert "tag field cannot be empty" in errors[0]["msg"]


def test_model_validator_mode_after_cross_field():
    class TimeRange(BaseModel):
        start_hour: int
        end_hour: int

        @model_validator(mode="after")
        def check_chronology(self) -> "TimeRange":
            if self.start_hour >= self.end_hour:
                raise ValueError("start_hour must be strictly less than end_hour")
            return self

    valid_range = TimeRange(start_hour=9, end_hour=17)
    assert valid_range.start_hour == 9
    assert valid_range.end_hour == 17

    try:
        TimeRange(start_hour=18, end_hour=9)
        assert False, "Should have raised ValidationError when start_hour >= end_hour"
    except ValidationError as exc:
        errors = exc.errors()
        assert len(errors) == 1
        assert "start_hour must be strictly less than end_hour" in errors[0]["msg"]


def test_model_validator_mode_wrap_handling():
    class SafeAccount(BaseModel):
        username: str
        score: int

        @model_validator(mode="wrap")
        @classmethod
        def handle_or_fallback(cls, values: Any, handler: Any) -> Any:
            if isinstance(values, dict) and values.get("rescue_mode"):
                return cls(username="fallback_user", score=0)
            try:
                return handler(values)
            except ValidationError:
                return cls(username="guest", score=0)

    # Normal valid case
    normal = SafeAccount.model_validate({"username": "alice", "score": 100})
    assert normal.username == "alice"
    assert normal.score == 100

    # Rescue mode explicitly handled
    rescued = SafeAccount.model_validate({"rescue_mode": True, "invalid": 123})
    assert rescued.username == "fallback_user"
    assert rescued.score == 0

    # Fallback on validation failure (e.g. invalid type)
    failed = SafeAccount.model_validate({"username": "bad_score", "score": "not_an_int"})
    assert failed.username == "guest"
    assert failed.score == 0


def main():
    test_model_validator_mode_before_transformation()
    test_model_validator_mode_before_rejection()
    test_model_validator_mode_after_cross_field()
    test_model_validator_mode_wrap_handling()
    print("All pydantic.model_validator contract assertions passed.")


if __name__ == "__main__":
    main()
uv.lock
version = 1
revision = 3
requires-python = ">=3.12"

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