Files
computer-playbook/utils/cache
kevinveenbirkenbachandClaude Opus 5 ffbd2ce0d3 fix(users): merge per-key so two roles can register tokens for one user
The merge across every meta/users.yml compared a field as a whole. For tokens that field is a mapping whose keys are per-app entries, so two roles registering a token for the same user hit the conflict check even though the entries never overlapped: the first role to declare it won and the second aborted the deploy. sys-token-store is the sanctioned way to persist a runtime secret per app on a user, which made it usable by exactly one role.

Dict-valued fields now merge key by key. A real collision, the same sub-key with two different values, still raises, and the message names field.sub_key so a token store holding a dozen apps says which one collided.

Tests cover both paths: two roles registering distinct token keys for one user, and the same key with conflicting values.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-29 14:51:05 +02:00
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Cache Helpers 💾

This package contains the in-process cache layers Infinito.Nexus uses to keep CLI tools, lookup plugins, and Ansible filters fast without re-reading or re-merging the same data multiple times per Python process.

Modules 🧭

Module Caches
yaml.py A single YAML file's parsed root, keyed by absolute path. Every other module routes its YAML reads through here so each file is parsed at most once per process.
files.py The project tree's full path list (one walk per process) and per-file UTF-8 contents (read_text). Used by lint/integration tests and CLI tools that scan the repo.
base.py Cross-cutting helpers: filesystem constants (PROJECT_ROOT, ROLES_DIR, DEFAULT_TOKENS_FILE), _deep_merge, cache-key + content-fingerprint signatures, the cross-domain re-entry guard, and the templar-render machinery. The only ansible-coupled symbol is _render_with_templar, which lazy-imports its dependency.
applications.py Per-app variants + defaults + get_merged_applications. Strictly ansible-free at import time so the GitHub Actions runner-host CLI path (cli.administration.deploy.development.init → plan_dev_inventory_matrix → get_variants) keeps working without ansible installed.
users/ User definitions, token store hydration, alias materialization, get_user_defaults, get_merged_users (package; users/placeholders.py substitutes DOMAIN_PRIMARY / ORGANIZATION / SOFTWARE_NAME ahead of the templar render pass).
domains.py Canonical-domains map derived from the merged applications view: get_merged_domains.
__init__.py Owns the package-level _reset_cache_for_tests() orchestrator that clears every cache plus the shared fingerprint memo in one call.

When To Use Which 🎯

  • Use utils.cache.yaml.load_yaml(path) (or load_yaml_any(path) when the YAML root is a list or scalar) whenever a CLI tool, filter, or library reads individual YAML files where the same path MAY be touched repeatedly within a single invocation.
  • Import the cached getters directly from the domain module that owns them: utils.cache.applications for get_application_defaults / get_variants / get_merged_applications, utils.cache.users for get_user_defaults / get_merged_users, and utils.cache.domains for get_merged_domains. The package's _reset_cache_for_tests is exposed at from utils.cache import _reset_cache_for_tests.

The layers are orthogonal: yaml.py caches "this file's parsed root", the applications/users/domains modules cache "this aggregated, rendered payload". They do not invalidate each other and MAY both be active at the same time.

Lifetime 🕒

Both layers are process-wide in-process caches. They intentionally do NOT track on-disk file mtimes; CLI tools are short-lived and the assumption "the on-disk file does not change while my process runs" holds. The single exception is utils.cache.yaml.dump_yaml, which writes through and evicts the cached entry for the path it just wrote so a tool that edits a file mid-run sees the new content on the next read.

Test-Only Helpers 🧪

Each module owns a private _reset() that clears its own cache dicts. The package-level utils.cache._reset_cache_for_tests() orchestrates all six (base, applications, users, domains, yaml, files) plus the shared fingerprint memo. Unit tests that exercise the cached paths MUST call it in setUp to guarantee clean state across test cases.

Design Guidelines 📐

  • You MUST NOT introduce a third parallel cache for the same concern. If you need to cache a derived shape, add a getter to the appropriate domain module (applications, users, or domains) that builds on the existing primitives.
  • You SHOULD prefer the explicit cached getter over re-implementing the same memoisation in a calling module.
  • You MUST NOT mutate values returned by utils.cache.yaml.load_yaml. The same dict instance is returned to every caller; callers that need to mutate MUST copy.deepcopy() the result first. Each domain getter documents whether it returns a fresh deep copy or the cached instance; respect that contract.
  • You MUST keep dependencies inside this package minimal. Cache primitives MUST remain importable from filter plugins, lookup plugins, and CLI tools without dragging in heavy dependencies. Specifically: applications.py MUST stay ansible-free at import time. See CI runs 24934007615 / 24935979190 for the regression that motivated the split. Tests in tests/unit/utils/cache/test_data.py::TestImportableWithoutAnsible pin both the import-time and call-time invariants.

Example Imports ✍️

from utils.cache.yaml import load_yaml, load_yaml_any

from utils.cache.applications import (
    get_application_defaults,
    get_merged_applications,
    get_variants,
)
from utils.cache.users import get_merged_users, get_user_defaults
from utils.cache.domains import get_merged_domains

# Tests
from utils.cache import _reset_cache_for_tests