Merge pull request 'feat(docs,api): expose inventory.instances interface' (#3721) from hsjobeki/clan-core:inventory-services-1 into main

Reviewed-on: https://git.clan.lol/clan/clan-core/pulls/3721
This commit is contained in:
hsjobeki
2025-05-20 15:29:14 +00:00
7 changed files with 166 additions and 56 deletions

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@@ -359,9 +359,6 @@ in
};
instances = lib.mkOption {
# Keep as internal until all de-/serialization issues are resolved
visible = false;
internal = true;
description = "Multi host service module instances";
type = types.attrsOf (
types.submodule {
@@ -402,14 +399,7 @@ in
default = { };
};
tags = lib.mkOption {
type = types.attrsOf (
types.submodule {
options.settings = lib.mkOption {
default = { };
type = types.deferredModule;
};
}
);
type = types.attrsOf (types.submodule { });
default = { };
};
settings = lib.mkOption {

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@@ -304,6 +304,17 @@ rec {
# return jsonschema property definition for raw
then
exposedModuleInfo // default // example // description // { type = allBasicTypes; }
else if
# This is a special case for the deferred clan.service 'settings', we assume it is JSON serializable
# To get the type of a Deferred modules we need to know the interface of the place where it is evaluated.
# i.e. in case of a clan.service this is the interface of the service which dynamically changes depending on the service
# We assign "type" = []
# This means any value is valid — or like TypeScripts unknown.
# We can assign the type later, when we know the exact interface.
# tsType = "unknown" is a type that we preload for json2ts, such that it gets the correct type in typescript
(option.type.name == "deferredModule")
then
exposedModuleInfo // default // example // description // { tsType = "unknown"; }
# parse enum
else if
option.type.name == "enum"

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@@ -294,3 +294,31 @@ def test_enum_roundtrip() -> None:
assert from_dict(Person, data2) == expected2
assert dataclass_to_dict(expected2) == data2
# for the test below
# we would import this from the nix_models
class Unknown:
pass
def test_unknown_deserialize() -> None:
@dataclass
class Person:
name: Unknown
data = {"name": ["a", "b"]}
person = from_dict(Person, data)
person.name = ["a", "b"]
def test_unknown_serialize() -> None:
@dataclass
class Person:
name: Unknown
data = Person(["a", "b"]) # type: ignore
person = dataclass_to_dict(data)
assert person == {"name": ["a", "b"]}

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@@ -30,6 +30,7 @@ Note: This module assumes the presence of other modules and classes such as `Cla
"""
import dataclasses
import inspect
from dataclasses import dataclass, fields, is_dataclass
from enum import Enum
from pathlib import Path
@@ -261,6 +262,10 @@ def construct_value(
return t(field_value) # type: ignore
if inspect.isclass(t) and t.__name__ == "Unknown":
# Return the field value as is
return field_value
msg = f"Unhandled field type {t} with value {field_value}"
raise ClanError(msg)

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@@ -1,5 +1,6 @@
import copy
import dataclasses
import inspect
import pathlib
from dataclasses import MISSING
from enum import EnumType
@@ -110,6 +111,12 @@ def type_to_dict(
if t is None:
return {"type": "null"}
if inspect.isclass(t) and t.__name__ == "Unknown":
# Empty should represent unknown
# We don't know anything about this type
# Nor about the nested fields, if there are any
return {}
if dataclasses.is_dataclass(t):
fields = dataclasses.fields(t)
properties = {}

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@@ -8,53 +8,104 @@
from typing import Any, Literal, NotRequired, TypedDict
# Mimic "unknown".
# 'Any' is unsafe because it allows any operations
# This forces the user to use type-narrowing or casting in the code
class Unknown:
pass
InstanceModuleNameType = str
InstanceModuleInputType = str
class InstanceModule(TypedDict):
name: str
input: NotRequired[InstanceModuleInputType]
InstanceRoleMachineSettingsType = Unknown
class InstanceRoleMachine(TypedDict):
settings: NotRequired[InstanceRoleMachineSettingsType]
class InstanceRoleTag(TypedDict):
pass
InstanceRoleMachinesType = dict[str, InstanceRoleMachine]
InstanceRoleSettingsType = Unknown
InstanceRoleTagsType = dict[str, InstanceRoleTag]
class InstanceRole(TypedDict):
machines: NotRequired[InstanceRoleMachinesType]
settings: NotRequired[InstanceRoleSettingsType]
tags: NotRequired[InstanceRoleTagsType]
InstanceModuleType = InstanceModule
InstanceRolesType = dict[str, InstanceRole]
class Instance(TypedDict):
module: NotRequired[InstanceModuleType]
roles: NotRequired[InstanceRolesType]
MachineDeployTargethostType = str
class MachineDeploy(TypedDict):
targetHost: NotRequired[str]
MachineDeployTargethostType = NotRequired[str]
targetHost: NotRequired[MachineDeployTargethostType]
MachineDeployType = MachineDeploy
MachineDescriptionType = str
MachineIconType = str
MachineMachineclassType = Literal["nixos", "darwin"]
MachineNameType = str
MachineTagsType = list[str]
class Machine(TypedDict):
deploy: NotRequired[MachineDeploy]
description: NotRequired[str]
icon: NotRequired[str]
machineClass: NotRequired[Literal["nixos", "darwin"]]
name: NotRequired[str]
tags: NotRequired[list[str]]
MachineDeployType = NotRequired[MachineDeploy]
MachineDescriptionType = NotRequired[str]
MachineIconType = NotRequired[str]
MachineMachineclassType = NotRequired[Literal["nixos", "darwin"]]
MachineNameType = NotRequired[str]
MachineTagsType = NotRequired[list[str]]
deploy: NotRequired[MachineDeployType]
description: NotRequired[MachineDescriptionType]
icon: NotRequired[MachineIconType]
machineClass: NotRequired[MachineMachineclassType]
name: NotRequired[MachineNameType]
tags: NotRequired[MachineTagsType]
MetaNameType = str
MetaDescriptionType = str
MetaIconType = str
class Meta(TypedDict):
name: str
description: NotRequired[str]
icon: NotRequired[str]
MetaNameType = str
MetaDescriptionType = NotRequired[str]
MetaIconType = NotRequired[str]
description: NotRequired[MetaDescriptionType]
icon: NotRequired[MetaIconType]
Service = dict[str, Any]
InventoryInstancesType = dict[str, Instance]
InventoryMachinesType = dict[str, Machine]
InventoryMetaType = Meta
InventoryModulesType = dict[str, Any]
InventoryServicesType = dict[str, Service]
InventoryTagsType = dict[str, Any]
class Inventory(TypedDict):
machines: NotRequired[dict[str, Machine]]
meta: NotRequired[Meta]
modules: NotRequired[dict[str, Any]]
services: NotRequired[dict[str, Service]]
tags: NotRequired[dict[str, Any]]
InventoryMachinesType = NotRequired[dict[str, Machine]]
InventoryMetaType = NotRequired[Meta]
InventoryModulesType = NotRequired[dict[str, Any]]
InventoryServicesType = NotRequired[dict[str, Service]]
InventoryTagsType = NotRequired[dict[str, Any]]
instances: NotRequired[InventoryInstancesType]
machines: NotRequired[InventoryMachinesType]
meta: NotRequired[InventoryMetaType]
modules: NotRequired[InventoryModulesType]
services: NotRequired[InventoryServicesType]
tags: NotRequired[InventoryTagsType]

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@@ -1,12 +1,15 @@
# ruff: noqa: RUF001
import argparse
import json
import logging
import sys
from collections.abc import Callable
from functools import partial
from pathlib import Path
from typing import Any
logger = logging.getLogger(__name__)
class Error(Exception):
pass
@@ -56,7 +59,7 @@ known_classes = set()
root_class = "Inventory"
# TODO: make this configurable
# For now this only includes static top-level attributes of the inventory.
attrs = ["machines", "meta", "services"]
attrs = ["machines", "meta", "services", "instances"]
static: dict[str, str] = {"Service": "dict[str, Any]"}
@@ -130,6 +133,12 @@ def field_def_from_default_value(
finalize_field: Callable[..., tuple[str, str]],
) -> tuple[str, str] | None:
# default_value = prop_info.get("default")
if "Unknown" in field_types:
# Unknown type, doesnt matter what the default value is
# type Unknown | a -> Unknown
return finalize_field(
field_types=field_types,
)
if default_value is None:
return finalize_field(
field_types=field_types | {"None"},
@@ -189,7 +198,7 @@ def get_field_def(
if "None" in field_types:
field_types.remove("None")
serialised_types = " | ".join(field_types) + type_appendix
serialised_types = f"NotRequired[{serialised_types}]"
serialised_types = f"{serialised_types}"
else:
serialised_types = " | ".join(field_types) + type_appendix
@@ -218,7 +227,7 @@ def generate_dataclass(
field_name = prop.replace("-", "_")
if len(attr_path) == 0 and prop not in attrs:
field_def = field_name, "NotRequired[dict[str, Any]]"
field_def = field_name, "dict[str, Any]"
fields_with_default.append(field_def)
# breakpoint()
continue
@@ -235,8 +244,9 @@ def generate_dataclass(
nested_class_name = f"""{class_name if class_name != root_class and not prop_info.get("title") else ""}{title_sanitized}"""
if not prop_type and not union_variants and not enum_variants:
msg = f"Type not found for property {prop} {prop_info}"
raise Error(msg)
msg = f"Type not found for property {prop} {prop_info}.\nConverting to unknown type.\n"
logger.warning(msg)
prop_type = "Unknown"
if union_variants:
field_types = map_json_type(union_variants)
@@ -283,6 +293,8 @@ def generate_dataclass(
)
)
known_classes.add(nested_class_name)
elif prop_type == "Unknown":
field_types = {"Unknown"}
else:
field_types = map_json_type(
prop_type,
@@ -347,8 +359,9 @@ def generate_dataclass(
# Join field name with type to form a complete field declaration
# e.g. "name: str"
all_field_declarations = [
f"{n}: {t}" for n, t in (required_fields + fields_with_default)
all_field_declarations = [f"{n}: {t}" for n, t in (required_fields)] + [
f"{n}: NotRequired[{class_name}{n.capitalize()}Type]"
for n, t in (fields_with_default)
]
hoisted_types: str = "\n".join(
[
@@ -359,14 +372,13 @@ def generate_dataclass(
fields_str = "\n ".join(all_field_declarations)
nested_classes_str = "\n\n".join(nested_classes)
class_def = f"\nclass {class_name}(TypedDict):\n"
class_def = f"\n\n{hoisted_types}\n"
class_def += f"\nclass {class_name}(TypedDict):\n"
if not required_fields + fields_with_default:
class_def += " pass"
else:
class_def += f" {fields_str}"
class_def += f"\n\n{hoisted_types}\n"
return f"{nested_classes_str}\n\n{class_def}" if nested_classes_str else class_def
@@ -388,6 +400,12 @@ def run_gen(args: argparse.Namespace) -> None:
# ruff: noqa: F401
# fmt: off
from typing import Any, Literal, NotRequired, TypedDict\n
# Mimic "unknown".
# 'Any' is unsafe because it allows any operations
# This forces the user to use type-narrowing or casting in the code
class Unknown:
pass
"""
)
f.write(dataclass_code)