frigate/docs/scripts/lib/i18n_loader.py
Josh Hawkins 5a5d23b503
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Docs refactor (#22703)
* add generation script

a script to read yaml code blocks from docs markdown files and generate corresponding "Frigate UI" tab instructions based on the json schema, i18n, section configs (hidden fields), and nav mappings

* first pass

* components

* add to gitignore

* second pass

* fix broken anchors

* fixes

* clean up tabs

* version bump

* tweaks

* remove role mapping config from ui
2026-03-30 10:36:45 -06:00

140 lines
3.7 KiB
Python

"""Load i18n translation files for Settings UI field labels."""
import json
from pathlib import Path
from typing import Any
# Base path for locale files
WEB_LOCALES = Path(__file__).resolve().parents[3] / "web" / "public" / "locales" / "en"
def load_i18n() -> dict[str, Any]:
"""Load and merge all relevant i18n files.
Returns:
Dict with keys: "global", "cameras", "settings_menu"
"""
global_path = WEB_LOCALES / "config" / "global.json"
cameras_path = WEB_LOCALES / "config" / "cameras.json"
settings_path = WEB_LOCALES / "views" / "settings.json"
result: dict[str, Any] = {}
with open(global_path) as f:
result["global"] = json.load(f)
with open(cameras_path) as f:
result["cameras"] = json.load(f)
with open(settings_path) as f:
settings = json.load(f)
result["settings_menu"] = settings.get("menu", {})
# Build a unified enum value → label lookup from all known sources.
# Merges multiple maps so callers don't need to know which file
# a particular enum lives in.
value_labels: dict[str, str] = {}
config_form = settings.get("configForm", {})
# FFmpeg preset labels (preset-vaapi → "VAAPI (Intel/AMD GPU)")
value_labels.update(
config_form.get("ffmpegArgs", {}).get("presetLabels", {})
)
# Timestamp position (tl → "Top left")
value_labels.update(settings.get("timestampPosition", {}))
# Input role options (detect → "Detect")
value_labels.update(
config_form.get("inputRoles", {}).get("options", {})
)
# GenAI role options (vision → "Vision")
value_labels.update(
config_form.get("genaiRoles", {}).get("options", {})
)
result["value_labels"] = value_labels
return result
def get_field_label(
i18n: dict[str, Any],
section_key: str,
field_path: list[str],
level: str = "global",
) -> str | None:
"""Look up the UI label for a field.
Args:
i18n: Loaded i18n data from load_i18n()
section_key: Config section (e.g., "record")
field_path: Path within section (e.g., ["continuous", "days"])
level: "global" or "cameras"
Returns:
The label string, or None if not found.
"""
source = i18n.get(level, {})
node = source.get(section_key, {})
for key in field_path:
if not isinstance(node, dict):
return None
node = node.get(key, {})
if isinstance(node, dict):
return node.get("label")
return None
def get_field_description(
i18n: dict[str, Any],
section_key: str,
field_path: list[str],
level: str = "global",
) -> str | None:
"""Look up the UI description for a field."""
source = i18n.get(level, {})
node = source.get(section_key, {})
for key in field_path:
if not isinstance(node, dict):
return None
node = node.get(key, {})
if isinstance(node, dict):
return node.get("description")
return None
def get_value_label(
i18n: dict[str, Any],
value: str,
) -> str | None:
"""Look up the display label for an enum/option value.
Args:
i18n: Loaded i18n data from load_i18n()
value: The raw config value (e.g., "preset-vaapi", "tl")
Returns:
The human-readable label (e.g., "VAAPI (Intel/AMD GPU)"), or None.
"""
return i18n.get("value_labels", {}).get(value)
def get_section_label(
i18n: dict[str, Any],
section_key: str,
level: str = "global",
) -> str | None:
"""Get the top-level label for a config section."""
source = i18n.get(level, {})
section = source.get(section_key, {})
if isinstance(section, dict):
return section.get("label")
return None