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https://github.com/FuzzingLabs/fuzzforge_ai.git
synced 2026-03-15 01:55:57 +00:00
refactor: remove module system, migrate to MCP hub tools architecture
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@@ -16,10 +16,8 @@ from fuzzforge_common.sandboxes.engines.podman.configuration import PodmanConfig
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from podman import PodmanClient
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from pydantic import UUID7
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# Type aliases for identifiers (inlined from fuzzforge-types)
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# Type aliases for identifiers
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type FuzzForgeProjectIdentifier = UUID7
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type FuzzForgeModuleIdentifier = UUID7
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type FuzzForgeWorkflowIdentifier = UUID7
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type FuzzForgeExecutionIdentifier = UUID7
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# Constants for validation
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@@ -27,14 +25,6 @@ FUZZFORGE_PROJECT_NAME_LENGTH_MIN: int = 3
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FUZZFORGE_PROJECT_NAME_LENGTH_MAX: int = 64
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FUZZFORGE_PROJECT_DESCRIPTION_LENGTH_MAX: int = 256
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FUZZFORGE_MODULE_NAME_LENGTH_MIN: int = 3
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FUZZFORGE_MODULE_NAME_LENGTH_MAX: int = 64
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FUZZFORGE_MODULE_DESCRIPTION_LENGTH_MAX: int = 256
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FUZZFORGE_WORKFLOW_NAME_LENGTH_MIN: int = 3
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FUZZFORGE_WORKFLOW_NAME_LENGTH_MAX: int = 64
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FUZZFORGE_WORKFLOW_DESCRIPTION_LENGTH_MAX: int = 256
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if TYPE_CHECKING:
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from collections.abc import Callable, Generator
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from pathlib import Path
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@@ -49,8 +39,6 @@ def generate_random_string(
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# ===== Project Fixtures =====
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# Note: random_project_identifier is provided by fuzzforge-tests
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# Note: random_module_execution_identifier is provided by fuzzforge-tests
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@pytest.fixture
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@@ -79,78 +67,6 @@ def random_project_description() -> Callable[[], str]:
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return inner
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@pytest.fixture
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def random_module_name() -> Callable[[], str]:
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"""Generate random module names."""
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def inner() -> str:
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return generate_random_string(
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min_length=FUZZFORGE_MODULE_NAME_LENGTH_MIN,
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max_length=FUZZFORGE_MODULE_NAME_LENGTH_MAX,
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)
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return inner
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@pytest.fixture
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def random_module_description() -> Callable[[], str]:
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"""Generate random module descriptions."""
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def inner() -> str:
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return generate_random_string(
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min_length=1,
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max_length=FUZZFORGE_MODULE_DESCRIPTION_LENGTH_MAX,
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)
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return inner
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@pytest.fixture
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def random_workflow_identifier() -> Callable[[], FuzzForgeWorkflowIdentifier]:
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"""Generate random workflow identifiers."""
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def inner() -> FuzzForgeWorkflowIdentifier:
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return uuid7()
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return inner
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@pytest.fixture
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def random_workflow_name() -> Callable[[], str]:
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"""Generate random workflow names."""
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def inner() -> str:
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return generate_random_string(
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min_length=FUZZFORGE_WORKFLOW_NAME_LENGTH_MIN,
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max_length=FUZZFORGE_WORKFLOW_NAME_LENGTH_MAX,
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)
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return inner
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@pytest.fixture
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def random_workflow_description() -> Callable[[], str]:
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"""Generate random workflow descriptions."""
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def inner() -> str:
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return generate_random_string(
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min_length=1,
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max_length=FUZZFORGE_WORKFLOW_DESCRIPTION_LENGTH_MAX,
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)
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return inner
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@pytest.fixture
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def random_workflow_execution_identifier() -> Callable[[], FuzzForgeExecutionIdentifier]:
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"""Generate random workflow execution identifiers."""
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def inner() -> FuzzForgeExecutionIdentifier:
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return uuid7()
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return inner
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@pytest.fixture
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def random_project_identifier() -> Callable[[], FuzzForgeProjectIdentifier]:
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"""Generate random project identifiers.
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@@ -169,18 +85,8 @@ def random_project_identifier() -> Callable[[], FuzzForgeProjectIdentifier]:
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@pytest.fixture
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def random_module_identifier() -> Callable[[], FuzzForgeModuleIdentifier]:
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"""Generate random module identifiers."""
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def inner() -> FuzzForgeModuleIdentifier:
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return uuid7()
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return inner
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@pytest.fixture
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def random_module_execution_identifier() -> Callable[[], FuzzForgeExecutionIdentifier]:
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"""Generate random workflow execution identifiers.
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def random_execution_identifier() -> Callable[[], FuzzForgeExecutionIdentifier]:
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"""Generate random execution identifiers.
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Returns a callable that generates fresh UUID7 identifiers for each call.
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This pattern allows generating multiple unique identifiers within a single test.
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