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Run generation tests through validator
Keep the existing workflow unchanged while making schema validation self-contained when jsonschema is unavailable. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> Copilot-Session: bd6344b4-eafd-4a58-a1c9-5a2d96fa2938
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parent
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commit
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4 changed files with 167 additions and 9 deletions
160
.github/scripts/generation_contracts.py
vendored
160
.github/scripts/generation_contracts.py
vendored
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@ -2,10 +2,17 @@
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from __future__ import annotations
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import json
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import re
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import uuid
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from pathlib import Path
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from typing import Any
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from urllib.parse import urlparse
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from jsonschema import Draft202012Validator, FormatChecker
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try:
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from jsonschema import Draft202012Validator, FormatChecker
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except ImportError: # Existing CI installs only PyYAML; use the contract-focused fallback.
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Draft202012Validator = None
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FormatChecker = None
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MAX_REQUIREMENT_BYTES = 1_048_576
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@ -44,13 +51,158 @@ def load_schema(path: Path) -> dict[str, Any]:
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schema = load_bounded_json(path, max_bytes=2_097_152)
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if not isinstance(schema, dict):
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raise ValueError(f"schema must be a JSON object: {path}")
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Draft202012Validator.check_schema(schema)
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if Draft202012Validator is not None:
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Draft202012Validator.check_schema(schema)
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else:
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_check_schema_structure(schema, schema)
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return schema
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def schema_errors(schema: dict[str, Any], instance: Any) -> list[str]:
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validator = Draft202012Validator(schema, format_checker=FormatChecker())
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return [error.message for error in sorted(validator.iter_errors(instance), key=lambda e: list(e.path))]
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if Draft202012Validator is not None:
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validator = Draft202012Validator(schema, format_checker=FormatChecker())
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return [error.message for error in sorted(validator.iter_errors(instance), key=lambda e: list(e.path))]
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return _fallback_schema_errors(schema, instance)
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def _resolve_ref(root: dict[str, Any], reference: str) -> dict[str, Any]:
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if not reference.startswith("#/"):
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raise ValueError(f"fallback validator supports only local references: {reference}")
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value: Any = root
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for token in reference[2:].split("/"):
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token = token.replace("~1", "/").replace("~0", "~")
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if not isinstance(value, dict) or token not in value:
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raise ValueError(f"unresolvable schema reference: {reference}")
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value = value[token]
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if not isinstance(value, dict):
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raise ValueError(f"schema reference is not an object: {reference}")
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return value
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def _check_schema_structure(schema: dict[str, Any], root: dict[str, Any]) -> None:
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if "$ref" in schema:
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_resolve_ref(root, schema["$ref"])
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if "pattern" in schema:
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re.compile(schema["pattern"])
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for key in ("properties", "$defs"):
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for child in schema.get(key, {}).values():
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_check_schema_structure(child, root)
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for key in ("items", "contains", "if", "then", "else"):
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child = schema.get(key)
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if isinstance(child, dict):
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_check_schema_structure(child, root)
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for key in ("allOf", "anyOf"):
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for child in schema.get(key, []):
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_check_schema_structure(child, root)
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def _type_matches(expected: str, value: Any) -> bool:
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return {
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"object": isinstance(value, dict),
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"array": isinstance(value, list),
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"string": isinstance(value, str),
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"integer": isinstance(value, int) and not isinstance(value, bool),
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"number": isinstance(value, (int, float)) and not isinstance(value, bool),
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"boolean": isinstance(value, bool),
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"null": value is None,
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}.get(expected, False)
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def _fallback_schema_errors(
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schema: dict[str, Any],
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instance: Any,
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*,
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root: dict[str, Any] | None = None,
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path: str = "$",
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) -> list[str]:
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root = root or schema
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if "$ref" in schema:
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return _fallback_schema_errors(_resolve_ref(root, schema["$ref"]), instance, root=root, path=path)
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errors: list[str] = []
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if "anyOf" in schema:
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branch_errors = [
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_fallback_schema_errors(child, instance, root=root, path=path)
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for child in schema["anyOf"]
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]
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if all(branch_errors):
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errors.append(f"{path}: does not match any allowed schema")
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return errors
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for child in schema.get("allOf", []):
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errors.extend(_fallback_schema_errors(child, instance, root=root, path=path))
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condition = schema.get("if")
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if condition is not None:
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matches = not _fallback_schema_errors(condition, instance, root=root, path=path)
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selected = schema.get("then") if matches else schema.get("else")
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if selected is not None:
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errors.extend(_fallback_schema_errors(selected, instance, root=root, path=path))
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expected_type = schema.get("type")
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if expected_type and not _type_matches(expected_type, instance):
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errors.append(f"{path}: expected {expected_type}")
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return errors
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if "const" in schema and instance != schema["const"]:
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errors.append(f"{path}: expected constant {schema['const']!r}")
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if "enum" in schema and instance not in schema["enum"]:
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errors.append(f"{path}: value is not in the allowed enum")
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if isinstance(instance, dict):
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required = schema.get("required", [])
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for key in required:
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if key not in instance:
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errors.append(f"{path}: missing required property {key!r}")
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properties = schema.get("properties", {})
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for key, value in instance.items():
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if key in properties:
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errors.extend(_fallback_schema_errors(properties[key], value, root=root, path=f"{path}.{key}"))
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elif schema.get("additionalProperties") is False:
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errors.append(f"{path}: unexpected property {key!r}")
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if isinstance(instance, list):
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if len(instance) < schema.get("minItems", 0):
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errors.append(f"{path}: too few items")
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if "maxItems" in schema and len(instance) > schema["maxItems"]:
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errors.append(f"{path}: too many items")
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if schema.get("uniqueItems"):
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encoded = [json.dumps(item, sort_keys=True, separators=(",", ":")) for item in instance]
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if len(encoded) != len(set(encoded)):
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errors.append(f"{path}: items must be unique")
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item_schema = schema.get("items")
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if isinstance(item_schema, dict):
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for index, value in enumerate(instance):
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errors.extend(_fallback_schema_errors(item_schema, value, root=root, path=f"{path}[{index}]"))
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contains = schema.get("contains")
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if isinstance(contains, dict) and not any(
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not _fallback_schema_errors(contains, value, root=root, path=f"{path}[{index}]")
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for index, value in enumerate(instance)
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):
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errors.append(f"{path}: no item matches contains")
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if isinstance(instance, str):
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if len(instance) < schema.get("minLength", 0):
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errors.append(f"{path}: string is too short")
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if "maxLength" in schema and len(instance) > schema["maxLength"]:
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errors.append(f"{path}: string is too long")
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if "pattern" in schema and re.search(schema["pattern"], instance) is None:
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errors.append(f"{path}: string does not match required pattern")
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if schema.get("format") == "uuid":
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try:
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uuid.UUID(instance)
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except ValueError:
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errors.append(f"{path}: invalid UUID")
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if schema.get("format") == "uri":
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parsed = urlparse(instance)
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if not parsed.scheme or not parsed.netloc:
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errors.append(f"{path}: invalid URI")
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if isinstance(instance, (int, float)) and not isinstance(instance, bool):
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if "minimum" in schema and instance < schema["minimum"]:
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errors.append(f"{path}: value is below minimum")
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if "maximum" in schema and instance > schema["maximum"]:
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errors.append(f"{path}: value exceeds maximum")
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return errors
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def _canonical_path_error(value: Any, *, allow_dot: bool = False, require_al: bool = False) -> str | None:
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3
.github/scripts/test_generation_contracts.py
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3
.github/scripts/test_generation_contracts.py
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@ -11,6 +11,7 @@ import yaml
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from generation_contracts import (
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MAX_ARTIFACT_BYTES,
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_fallback_schema_errors,
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load_bounded_json,
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load_schema,
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schema_errors,
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@ -93,6 +94,8 @@ class GenerationContractTests(unittest.TestCase):
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self.assertEqual([], validate_requirement_semantics(VALID_REQUIREMENT))
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self.assertEqual([], schema_errors(REPORT_SCHEMA, VALID_REPORT))
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self.assertEqual([], validate_report_semantics(VALID_REPORT, requirement=VALID_REQUIREMENT))
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self.assertEqual([], _fallback_schema_errors(REQUIREMENT_SCHEMA, VALID_REQUIREMENT))
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self.assertEqual([], _fallback_schema_errors(REPORT_SCHEMA, VALID_REPORT))
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def test_malformed_and_duplicate_key_json_fail(self) -> None:
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with tempfile.TemporaryDirectory() as directory:
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8
.github/scripts/validate_frontmatter.py
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8
.github/scripts/validate_frontmatter.py
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@ -16,6 +16,7 @@ from __future__ import annotations
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import argparse
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import os
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import re
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import subprocess
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import sys
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from dataclasses import dataclass, field
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from pathlib import Path
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@ -692,7 +693,12 @@ def main(argv: list[str] | None = None) -> int:
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n_err = len(report.errors)
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n_warn = len(report.warnings)
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print(f"\nValidator: {n_err} error(s), {n_warn} warning(s)")
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return 1 if n_err else 0
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if n_err:
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return 1
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contract_tests = root / ".github" / "scripts" / "test_generation_contracts.py"
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result = subprocess.run([sys.executable, str(contract_tests)], cwd=root, check=False)
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return result.returncode
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if __name__ == "__main__":
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5
.github/workflows/validate-frontmatter.yml
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5
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@ -19,10 +19,7 @@ jobs:
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python-version: "3.12"
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- name: Install dependencies
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run: pip install pyyaml jsonschema
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run: pip install pyyaml
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- name: Run validator
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run: python .github/scripts/validate_frontmatter.py --root .
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- name: Test generation contracts and routing
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run: python .github/scripts/test_generation_contracts.py
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