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add generation script

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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
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Josh Hawkins 2026-03-27 08:16:56 -05:00
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# Documentation Scripts
## generate_ui_tabs.py
Automatically generates "Frigate UI" tab content for documentation files based on the YAML config examples already in the docs.
Instead of manually writing UI instructions for every YAML block, this script reads three data sources from the codebase and generates the UI tabs:
1. **JSON Schema** (from Pydantic config models) -- field names, types, defaults
2. **i18n translation files** -- the exact labels shown in the Settings UI
3. **Section mappings** (from Settings.tsx) -- config key to UI navigation path
### Prerequisites
Run from the repository root. The script imports Frigate's Python config models directly, so the `frigate` package must be importable:
```bash
# From repo root -- no extra install needed if your environment can import frigate
python3 docs/scripts/generate_ui_tabs.py --help
```
### Usage
#### Preview (default)
Shows what would be generated for each bare YAML block, without modifying any files:
```bash
# Single file
python3 docs/scripts/generate_ui_tabs.py docs/docs/configuration/record.md
# All config docs
python3 docs/scripts/generate_ui_tabs.py docs/docs/configuration/
```
#### Inject
Wraps bare YAML blocks with `<ConfigTabs>` and inserts the generated UI tab. Also adds the required imports (`ConfigTabs`, `TabItem`, `NavPath`) after the frontmatter if missing.
Already-wrapped blocks are skipped (idempotent).
```bash
python3 docs/scripts/generate_ui_tabs.py --inject docs/docs/configuration/record.md
```
#### Check
Compares existing UI tabs against what the script would generate from the current schema and i18n files. Prints a unified diff for each drifted block and exits with code 1 if any drift is found.
Use this in CI to catch stale docs after schema or i18n changes.
```bash
python3 docs/scripts/generate_ui_tabs.py --check docs/docs/configuration/
```
#### Regenerate
Replaces the UI tab content in existing `<ConfigTabs>` blocks with freshly generated content. The YAML tab is preserved exactly as-is. Only blocks that have actually changed are rewritten.
```bash
# Preview changes without writing
python3 docs/scripts/generate_ui_tabs.py --regenerate --dry-run docs/docs/configuration/
# Apply changes
python3 docs/scripts/generate_ui_tabs.py --regenerate docs/docs/configuration/
```
#### Output to directory (`--outdir`)
Write generated files to a separate directory instead of modifying the originals. The source directory structure is mirrored. Files without changes are copied as-is so the output is a complete snapshot suitable for diffing.
Works with `--inject` and `--regenerate`.
```bash
# Generate into a named directory
python3 docs/scripts/generate_ui_tabs.py --inject --outdir /tmp/generated docs/docs/configuration/
# Then diff original vs generated
diff -rq docs/docs/configuration/ /tmp/generated/
# Or let an AI agent compare them
diff -ru docs/docs/configuration/record.md /tmp/generated/record.md
```
This is useful for AI agents that need to review the generated output before applying it, or for previewing what `--inject` or `--regenerate` would do across an entire directory.
#### Verbose mode
Add `-v` to any mode for detailed diagnostics (skipped blocks, reasons, unchanged blocks):
```bash
python3 docs/scripts/generate_ui_tabs.py -v docs/docs/configuration/
```
### Typical workflow
```bash
# 1. Preview what would be generated (output to temp dir, originals untouched)
python3 docs/scripts/generate_ui_tabs.py --inject --outdir /tmp/ui-preview docs/docs/configuration/
# Compare: diff -ru docs/docs/configuration/ /tmp/ui-preview/
# 2. Apply: inject UI tabs into the actual docs
python3 docs/scripts/generate_ui_tabs.py --inject docs/docs/configuration/
# 3. Review and hand-edit where needed (the script gets you 90% there)
# 4. Later, after schema or i18n changes, check for drift
python3 docs/scripts/generate_ui_tabs.py --check docs/docs/configuration/
# 5. If drifted, preview then regenerate
python3 docs/scripts/generate_ui_tabs.py --regenerate --outdir /tmp/ui-regen docs/docs/configuration/
# Compare: diff -ru docs/docs/configuration/ /tmp/ui-regen/
# 6. Apply regeneration
python3 docs/scripts/generate_ui_tabs.py --regenerate docs/docs/configuration/
```
### How it decides what to generate
The script detects two patterns from the YAML block content:
**Pattern A -- Field table.** When the YAML has inline comments (e.g., `# <- description`), the script generates a markdown table with field names and descriptions:
```markdown
Navigate to <NavPath path="Settings > Global configuration > Recording" />.
| Field | Description |
|-------|-------------|
| **Continuous retention > Retention days** | Days to retain recordings. |
| **Motion retention > Retention days** | Days to retain recordings. |
```
**Pattern B -- Set instructions.** When the YAML has concrete values without comments, the script generates step-by-step instructions:
```markdown
Navigate to <NavPath path="Settings > Global configuration > Recording" />.
- Set **Enable recording** to on
- Set **Continuous retention > Retention days** to `3`
- Set **Alert retention > Event retention > Retention days** to `30`
- Set **Alert retention > Event retention > Retention mode** to `all`
```
**Camera-level config** is auto-detected when the YAML is nested under `cameras:`. The output uses a generic camera reference rather than the example camera name from the YAML:
```markdown
1. Navigate to <NavPath path="Settings > Camera configuration > Recording" /> and select your camera.
- Set **Enable recording** to on
- Set **Continuous retention > Retention days** to `5`
```
### What gets skipped
- YAML blocks already inside `<ConfigTabs>` (for `--inject`)
- YAML blocks whose top-level key is not a known config section (e.g., `go2rtc`, `docker-compose`, `scrape_configs`)
- Fields listed in `hiddenFields` in the section configs (e.g., `enabled_in_config`)
### File structure
```
docs/scripts/
├── generate_ui_tabs.py # CLI entry point
├── README.md # This file
└── lib/
├── __init__.py
├── schema_loader.py # Loads JSON schema from Pydantic models
├── i18n_loader.py # Loads i18n translation JSON files
├── section_config_parser.py # Parses TS section configs (hiddenFields, etc.)
├── yaml_extractor.py # Extracts YAML blocks and ConfigTabs from markdown
├── ui_generator.py # Generates UI tab markdown content
└── nav_map.py # Maps config sections to Settings UI nav paths
```
### Data sources
| Source | Path | What it provides |
|--------|------|------------------|
| Pydantic models | `frigate/config/` | Field names, types, defaults, nesting |
| JSON schema | Generated from Pydantic at runtime | Full schema with `$defs` and `$ref` |
| i18n (global) | `web/public/locales/en/config/global.json` | Field labels for global settings |
| i18n (cameras) | `web/public/locales/en/config/cameras.json` | Field labels for camera settings |
| i18n (menu) | `web/public/locales/en/views/settings.json` | Sidebar menu labels |
| Section configs | `web/src/components/config-form/section-configs/*.ts` | Hidden fields, advanced fields, field order |
| Navigation map | Hardcoded from `web/src/pages/Settings.tsx` | Config section to UI path mapping |

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#!/usr/bin/env python3
"""Generate Frigate UI tab content for documentation files.
This script reads YAML code blocks from documentation markdown files and
generates corresponding "Frigate UI" tab instructions based on:
- JSON Schema (from Pydantic config models)
- i18n translation files (for UI field labels)
- Section configs (for hidden/advanced field info)
- Navigation mappings (for Settings UI paths)
Usage:
# Preview generated UI tabs for a single file
python docs/scripts/generate_ui_tabs.py docs/docs/configuration/record.md
# Preview all config docs
python docs/scripts/generate_ui_tabs.py docs/docs/configuration/
# Inject UI tabs into files (wraps bare YAML blocks with ConfigTabs)
python docs/scripts/generate_ui_tabs.py --inject docs/docs/configuration/record.md
# Regenerate existing UI tabs from current schema/i18n
python docs/scripts/generate_ui_tabs.py --regenerate docs/docs/configuration/
# Check for drift between existing UI tabs and what would be generated
python docs/scripts/generate_ui_tabs.py --check docs/docs/configuration/
# Write generated files to a temp directory for comparison (originals unchanged)
python docs/scripts/generate_ui_tabs.py --inject --outdir /tmp/generated docs/docs/configuration/
# Show detailed warnings and diagnostics
python docs/scripts/generate_ui_tabs.py --verbose docs/docs/configuration/
"""
import argparse
import difflib
import shutil
import sys
import tempfile
from pathlib import Path
# Ensure frigate package is importable
sys.path.insert(0, str(Path(__file__).resolve().parents[1].parent))
from lib.i18n_loader import load_i18n
from lib.nav_map import ALL_CONFIG_SECTIONS
from lib.schema_loader import load_schema
from lib.section_config_parser import load_section_configs
from lib.ui_generator import generate_ui_content, wrap_with_config_tabs
from lib.yaml_extractor import (
extract_config_tabs_blocks,
extract_yaml_blocks,
)
def process_file(
filepath: Path,
schema: dict,
i18n: dict,
section_configs: dict,
inject: bool = False,
verbose: bool = False,
outpath: Path | None = None,
) -> dict:
"""Process a single markdown file for initial injection of bare YAML blocks.
Args:
outpath: If set, write the result here instead of modifying filepath.
Returns:
Stats dict with counts of blocks found, generated, skipped, etc.
"""
content = filepath.read_text()
blocks = extract_yaml_blocks(content)
stats = {
"file": str(filepath),
"total_blocks": len(blocks),
"config_blocks": 0,
"already_wrapped": 0,
"generated": 0,
"skipped": 0,
"warnings": [],
}
if not blocks:
return stats
# For injection, we need to track replacements
replacements: list[tuple[int, int, str]] = []
for block in blocks:
# Skip non-config YAML blocks
if block.section_key is None or (
block.section_key not in ALL_CONFIG_SECTIONS
and not block.is_camera_level
):
stats["skipped"] += 1
if verbose and block.config_keys:
stats["warnings"].append(
f" Line {block.line_start}: Skipped block with keys "
f"{block.config_keys} (not a known config section)"
)
continue
stats["config_blocks"] += 1
# Skip already-wrapped blocks
if block.inside_config_tabs:
stats["already_wrapped"] += 1
if verbose:
stats["warnings"].append(
f" Line {block.line_start}: Already inside ConfigTabs, skipping"
)
continue
# Generate UI content
ui_content = generate_ui_content(
block, schema, i18n, section_configs
)
if ui_content is None:
stats["skipped"] += 1
if verbose:
stats["warnings"].append(
f" Line {block.line_start}: Could not generate UI content "
f"for section '{block.section_key}'"
)
continue
stats["generated"] += 1
if inject:
full_block = wrap_with_config_tabs(
ui_content, block.raw, block.highlight
)
replacements.append((block.line_start, block.line_end, full_block))
else:
# Preview mode: print to stdout
print(f"\n{'='*60}")
print(f"File: {filepath}")
print(f"Line {block.line_start}: section={block.section_key}, "
f"camera={block.is_camera_level}")
print(f"{'='*60}")
print()
print("--- Generated UI tab ---")
print(ui_content)
print()
print("--- Would produce ---")
print(wrap_with_config_tabs(ui_content, block.raw, block.highlight))
print()
# Apply injections in reverse order (to preserve line numbers)
if inject and replacements:
lines = content.split("\n")
for start, end, replacement in reversed(replacements):
# start/end are 1-based line numbers
# The YAML block spans from the ``` line before start to the ``` line at end
# We need to replace from the opening ``` to the closing ```
block_start = start - 2 # 0-based index of ```yaml line
block_end = end - 1 # 0-based index of closing ``` line
replacement_lines = replacement.split("\n")
lines[block_start : block_end + 1] = replacement_lines
new_content = "\n".join(lines)
# Ensure imports are present
new_content = _ensure_imports(new_content)
target = outpath or filepath
target.parent.mkdir(parents=True, exist_ok=True)
target.write_text(new_content)
print(f" Injected {len(replacements)} ConfigTabs block(s) into {target}")
elif outpath is not None:
# No changes but outdir requested -- copy original so the output
# directory contains a complete set of files for diffing.
outpath.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(filepath, outpath)
return stats
def regenerate_file(
filepath: Path,
schema: dict,
i18n: dict,
section_configs: dict,
dry_run: bool = False,
verbose: bool = False,
outpath: Path | None = None,
) -> dict:
"""Regenerate UI tabs in existing ConfigTabs blocks.
Strips the current UI tab content and regenerates it from the YAML tab
using the current schema and i18n data.
Args:
outpath: If set, write the result here instead of modifying filepath.
Returns:
Stats dict
"""
content = filepath.read_text()
tab_blocks = extract_config_tabs_blocks(content)
stats = {
"file": str(filepath),
"total_blocks": len(tab_blocks),
"regenerated": 0,
"unchanged": 0,
"skipped": 0,
"warnings": [],
}
if not tab_blocks:
return stats
replacements: list[tuple[int, int, str]] = []
for tab_block in tab_blocks:
yaml_block = tab_block.yaml_block
# Skip non-config blocks
if yaml_block.section_key is None or (
yaml_block.section_key not in ALL_CONFIG_SECTIONS
and not yaml_block.is_camera_level
):
stats["skipped"] += 1
if verbose:
stats["warnings"].append(
f" Line {tab_block.line_start}: Skipped (not a config section)"
)
continue
# Generate fresh UI content
new_ui = generate_ui_content(
yaml_block, schema, i18n, section_configs
)
if new_ui is None:
stats["skipped"] += 1
if verbose:
stats["warnings"].append(
f" Line {tab_block.line_start}: Could not regenerate "
f"for section '{yaml_block.section_key}'"
)
continue
# Compare with existing
existing_ui = tab_block.ui_content
if _normalize_whitespace(new_ui) == _normalize_whitespace(existing_ui):
stats["unchanged"] += 1
if verbose:
stats["warnings"].append(
f" Line {tab_block.line_start}: Unchanged"
)
continue
stats["regenerated"] += 1
new_full = wrap_with_config_tabs(
new_ui, yaml_block.raw, yaml_block.highlight
)
replacements.append(
(tab_block.line_start, tab_block.line_end, new_full)
)
if dry_run or verbose:
print(f"\n{'='*60}")
print(f"File: {filepath}, line {tab_block.line_start}")
print(f"Section: {yaml_block.section_key}")
print(f"{'='*60}")
_print_diff(existing_ui, new_ui, filepath, tab_block.line_start)
# Apply replacements
if not dry_run and replacements:
lines = content.split("\n")
for start, end, replacement in reversed(replacements):
block_start = start - 1 # 0-based index of <ConfigTabs> line
block_end = end - 1 # 0-based index of </ConfigTabs> line
replacement_lines = replacement.split("\n")
lines[block_start : block_end + 1] = replacement_lines
new_content = "\n".join(lines)
target = outpath or filepath
target.parent.mkdir(parents=True, exist_ok=True)
target.write_text(new_content)
print(
f" Regenerated {len(replacements)} ConfigTabs block(s) in {target}",
file=sys.stderr,
)
elif outpath is not None:
outpath.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(filepath, outpath)
return stats
def check_file(
filepath: Path,
schema: dict,
i18n: dict,
section_configs: dict,
verbose: bool = False,
) -> dict:
"""Check for drift between existing UI tabs and what would be generated.
Returns:
Stats dict with drift info. Non-zero "drifted" means the file is stale.
"""
content = filepath.read_text()
tab_blocks = extract_config_tabs_blocks(content)
stats = {
"file": str(filepath),
"total_blocks": len(tab_blocks),
"up_to_date": 0,
"drifted": 0,
"skipped": 0,
"warnings": [],
}
if not tab_blocks:
return stats
for tab_block in tab_blocks:
yaml_block = tab_block.yaml_block
if yaml_block.section_key is None or (
yaml_block.section_key not in ALL_CONFIG_SECTIONS
and not yaml_block.is_camera_level
):
stats["skipped"] += 1
continue
new_ui = generate_ui_content(
yaml_block, schema, i18n, section_configs
)
if new_ui is None:
stats["skipped"] += 1
continue
existing_ui = tab_block.ui_content
if _normalize_whitespace(new_ui) == _normalize_whitespace(existing_ui):
stats["up_to_date"] += 1
else:
stats["drifted"] += 1
print(f"\n{'='*60}")
print(f"DRIFT: {filepath}, line {tab_block.line_start}")
print(f"Section: {yaml_block.section_key}")
print(f"{'='*60}")
_print_diff(existing_ui, new_ui, filepath, tab_block.line_start)
return stats
def _normalize_whitespace(text: str) -> str:
"""Normalize whitespace for comparison (strip lines, collapse blanks)."""
lines = [line.rstrip() for line in text.strip().splitlines()]
# Collapse multiple blank lines into one
result: list[str] = []
prev_blank = False
for line in lines:
if line == "":
if not prev_blank:
result.append(line)
prev_blank = True
else:
result.append(line)
prev_blank = False
return "\n".join(result)
def _print_diff(existing: str, generated: str, filepath: Path, line: int):
"""Print a unified diff between existing and generated UI content."""
existing_lines = existing.strip().splitlines(keepends=True)
generated_lines = generated.strip().splitlines(keepends=True)
diff = difflib.unified_diff(
existing_lines,
generated_lines,
fromfile=f"{filepath}:{line} (existing)",
tofile=f"{filepath}:{line} (generated)",
lineterm="",
)
diff_text = "\n".join(diff)
if diff_text:
print(diff_text)
else:
print(" (whitespace-only difference)")
def _ensure_imports(content: str) -> str:
"""Ensure ConfigTabs/TabItem/NavPath imports are present in the file."""
lines = content.split("\n")
needed_imports = []
if "<ConfigTabs>" in content and 'import ConfigTabs' not in content:
needed_imports.append(
'import ConfigTabs from "@site/src/components/ConfigTabs";'
)
if "<TabItem" in content and 'import TabItem' not in content:
needed_imports.append('import TabItem from "@theme/TabItem";')
if "<NavPath" in content and 'import NavPath' not in content:
needed_imports.append(
'import NavPath from "@site/src/components/NavPath";'
)
if not needed_imports:
return content
# Insert imports after frontmatter (---)
insert_idx = 0
frontmatter_count = 0
for i, line in enumerate(lines):
if line.strip() == "---":
frontmatter_count += 1
if frontmatter_count == 2:
insert_idx = i + 1
break
# Add blank line before imports if needed
import_block = [""] + needed_imports + [""]
lines[insert_idx:insert_idx] = import_block
return "\n".join(lines)
def main():
parser = argparse.ArgumentParser(
description="Generate Frigate UI tab content for documentation files"
)
parser.add_argument(
"paths",
nargs="+",
type=Path,
help="Markdown file(s) or directory to process",
)
mode_group = parser.add_mutually_exclusive_group()
mode_group.add_argument(
"--inject",
action="store_true",
help="Inject generated content into files (wraps bare YAML blocks)",
)
mode_group.add_argument(
"--regenerate",
action="store_true",
help="Regenerate UI tabs in existing ConfigTabs from current schema/i18n",
)
mode_group.add_argument(
"--check",
action="store_true",
help="Check for drift between existing UI tabs and current schema/i18n (exit 1 if drifted)",
)
parser.add_argument(
"--outdir",
type=Path,
default=None,
help="Write output files to this directory instead of modifying originals. "
"Mirrors the source directory structure. Use with --inject or --regenerate.",
)
parser.add_argument(
"--dry-run",
action="store_true",
help="With --regenerate, show diffs but don't write files",
)
parser.add_argument(
"--verbose", "-v",
action="store_true",
help="Show detailed warnings and diagnostics",
)
args = parser.parse_args()
# Collect files and determine base directory for relative path computation
files: list[Path] = []
base_dirs: list[Path] = []
for p in args.paths:
if p.is_dir():
files.extend(sorted(p.glob("**/*.md")))
base_dirs.append(p.resolve())
elif p.is_file():
files.append(p)
base_dirs.append(p.resolve().parent)
else:
print(f"Warning: {p} not found, skipping", file=sys.stderr)
if not files:
print("No markdown files found", file=sys.stderr)
sys.exit(1)
# Use the first input path's directory as the base for relative paths
base_dir = base_dirs[0] if base_dirs else Path.cwd()
# Resolve outdir: create a temp directory if --outdir is given without a path
outdir: Path | None = args.outdir
created_tmpdir = False
if outdir is not None:
if str(outdir) == "auto":
outdir = Path(tempfile.mkdtemp(prefix="frigate-ui-tabs-"))
created_tmpdir = True
outdir.mkdir(parents=True, exist_ok=True)
# Build file->outpath mapping
file_outpaths: dict[Path, Path | None] = {}
for f in files:
if outdir is not None:
try:
rel = f.resolve().relative_to(base_dir)
except ValueError:
rel = Path(f.name)
file_outpaths[f] = outdir / rel
else:
file_outpaths[f] = None
# Load data sources
print("Loading schema from Pydantic models...", file=sys.stderr)
schema = load_schema()
print("Loading i18n translations...", file=sys.stderr)
i18n = load_i18n()
print("Loading section configs...", file=sys.stderr)
section_configs = load_section_configs()
print(f"Processing {len(files)} file(s)...\n", file=sys.stderr)
if args.check:
_run_check(files, schema, i18n, section_configs, args.verbose)
elif args.regenerate:
_run_regenerate(
files, schema, i18n, section_configs,
args.dry_run, args.verbose, file_outpaths,
)
else:
_run_inject(
files, schema, i18n, section_configs,
args.inject, args.verbose, file_outpaths,
)
if outdir is not None:
print(f"\nOutput written to: {outdir}", file=sys.stderr)
def _run_inject(files, schema, i18n, section_configs, inject, verbose, file_outpaths):
"""Run default mode: preview or inject bare YAML blocks."""
total_stats = {
"files": 0,
"total_blocks": 0,
"config_blocks": 0,
"already_wrapped": 0,
"generated": 0,
"skipped": 0,
}
for filepath in files:
stats = process_file(
filepath, schema, i18n, section_configs,
inject=inject, verbose=verbose,
outpath=file_outpaths.get(filepath),
)
total_stats["files"] += 1
for key in ["total_blocks", "config_blocks", "already_wrapped",
"generated", "skipped"]:
total_stats[key] += stats[key]
if verbose and stats["warnings"]:
print(f"\n{filepath}:", file=sys.stderr)
for w in stats["warnings"]:
print(w, file=sys.stderr)
print("\n" + "=" * 60, file=sys.stderr)
print("Summary:", file=sys.stderr)
print(f" Files processed: {total_stats['files']}", file=sys.stderr)
print(f" Total YAML blocks: {total_stats['total_blocks']}", file=sys.stderr)
print(f" Config blocks: {total_stats['config_blocks']}", file=sys.stderr)
print(f" Already wrapped: {total_stats['already_wrapped']}", file=sys.stderr)
print(f" Generated: {total_stats['generated']}", file=sys.stderr)
print(f" Skipped: {total_stats['skipped']}", file=sys.stderr)
print("=" * 60, file=sys.stderr)
def _run_regenerate(files, schema, i18n, section_configs, dry_run, verbose, file_outpaths):
"""Run regenerate mode: update existing ConfigTabs blocks."""
total_stats = {
"files": 0,
"total_blocks": 0,
"regenerated": 0,
"unchanged": 0,
"skipped": 0,
}
for filepath in files:
stats = regenerate_file(
filepath, schema, i18n, section_configs,
dry_run=dry_run, verbose=verbose,
outpath=file_outpaths.get(filepath),
)
total_stats["files"] += 1
for key in ["total_blocks", "regenerated", "unchanged", "skipped"]:
total_stats[key] += stats[key]
if verbose and stats["warnings"]:
print(f"\n{filepath}:", file=sys.stderr)
for w in stats["warnings"]:
print(w, file=sys.stderr)
action = "Would regenerate" if dry_run else "Regenerated"
print("\n" + "=" * 60, file=sys.stderr)
print("Summary:", file=sys.stderr)
print(f" Files processed: {total_stats['files']}", file=sys.stderr)
print(f" ConfigTabs blocks: {total_stats['total_blocks']}", file=sys.stderr)
print(f" {action}: {total_stats['regenerated']}", file=sys.stderr)
print(f" Unchanged: {total_stats['unchanged']}", file=sys.stderr)
print(f" Skipped: {total_stats['skipped']}", file=sys.stderr)
print("=" * 60, file=sys.stderr)
def _run_check(files, schema, i18n, section_configs, verbose):
"""Run check mode: detect drift without modifying files."""
total_stats = {
"files": 0,
"total_blocks": 0,
"up_to_date": 0,
"drifted": 0,
"skipped": 0,
}
for filepath in files:
stats = check_file(
filepath, schema, i18n, section_configs, verbose=verbose,
)
total_stats["files"] += 1
for key in ["total_blocks", "up_to_date", "drifted", "skipped"]:
total_stats[key] += stats[key]
print("\n" + "=" * 60, file=sys.stderr)
print("Summary:", file=sys.stderr)
print(f" Files processed: {total_stats['files']}", file=sys.stderr)
print(f" ConfigTabs blocks: {total_stats['total_blocks']}", file=sys.stderr)
print(f" Up to date: {total_stats['up_to_date']}", file=sys.stderr)
print(f" Drifted: {total_stats['drifted']}", file=sys.stderr)
print(f" Skipped: {total_stats['skipped']}", file=sys.stderr)
print("=" * 60, file=sys.stderr)
if total_stats["drifted"] > 0:
print(
f"\n{total_stats['drifted']} block(s) have drifted from schema/i18n. "
"Run with --regenerate to update.",
file=sys.stderr,
)
sys.exit(1)
else:
print("\nAll UI tabs are up to date.", file=sys.stderr)
if __name__ == "__main__":
main()

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"""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

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"""Map config section keys to Settings UI navigation paths."""
# Derived from web/src/pages/Settings.tsx section mappings
# and web/public/locales/en/views/settings.json menu labels.
#
# Format: section_key -> (group_label, page_label)
# Navigation path: "Settings > {group_label} > {page_label}"
GLOBAL_NAV: dict[str, tuple[str, str]] = {
"detect": ("Global configuration", "Object detection"),
"ffmpeg": ("Global configuration", "FFmpeg"),
"record": ("Global configuration", "Recording"),
"snapshots": ("Global configuration", "Snapshots"),
"motion": ("Global configuration", "Motion detection"),
"objects": ("Global configuration", "Objects"),
"review": ("Global configuration", "Review"),
"audio": ("Global configuration", "Audio events"),
"live": ("Global configuration", "Live playback"),
"timestamp_style": ("Global configuration", "Timestamp style"),
"notifications": ("Notifications", "Notifications"),
}
CAMERA_NAV: dict[str, tuple[str, str]] = {
"detect": ("Camera configuration", "Object detection"),
"ffmpeg": ("Camera configuration", "FFmpeg"),
"record": ("Camera configuration", "Recording"),
"snapshots": ("Camera configuration", "Snapshots"),
"motion": ("Camera configuration", "Motion detection"),
"objects": ("Camera configuration", "Objects"),
"review": ("Camera configuration", "Review"),
"audio": ("Camera configuration", "Audio events"),
"audio_transcription": ("Camera configuration", "Audio transcription"),
"notifications": ("Camera configuration", "Notifications"),
"live": ("Camera configuration", "Live playback"),
"birdseye": ("Camera configuration", "Birdseye"),
"face_recognition": ("Camera configuration", "Face recognition"),
"lpr": ("Camera configuration", "License plate recognition"),
"mqtt": ("Camera configuration", "MQTT"),
"onvif": ("Camera configuration", "ONVIF"),
"ui": ("Camera configuration", "Camera UI"),
"timestamp_style": ("Camera configuration", "Timestamp style"),
}
ENRICHMENT_NAV: dict[str, tuple[str, str]] = {
"semantic_search": ("Enrichments", "Semantic search"),
"genai": ("Enrichments", "Generative AI"),
"face_recognition": ("Enrichments", "Face recognition"),
"lpr": ("Enrichments", "License plate recognition"),
"classification": ("Enrichments", "Object classification"),
"audio_transcription": ("Enrichments", "Audio transcription"),
}
SYSTEM_NAV: dict[str, tuple[str, str]] = {
"go2rtc_streams": ("System", "go2rtc streams"),
"database": ("System", "Database"),
"mqtt": ("System", "MQTT"),
"tls": ("System", "TLS"),
"auth": ("System", "Authentication"),
"networking": ("System", "Networking"),
"proxy": ("System", "Proxy"),
"ui": ("System", "UI"),
"logger": ("System", "Logging"),
"environment_vars": ("System", "Environment variables"),
"telemetry": ("System", "Telemetry"),
"birdseye": ("System", "Birdseye"),
"detectors": ("System", "Detector hardware"),
"model": ("System", "Detection model"),
}
# All known top-level config section keys
ALL_CONFIG_SECTIONS = (
set(GLOBAL_NAV)
| set(CAMERA_NAV)
| set(ENRICHMENT_NAV)
| set(SYSTEM_NAV)
| {"cameras"}
)
def get_nav_path(section_key: str, level: str = "global") -> str | None:
"""Get the full navigation path for a config section.
Args:
section_key: Config section key (e.g., "record")
level: "global", "camera", "enrichment", or "system"
Returns:
NavPath string like "Settings > Global configuration > Recording",
or None if not found.
"""
nav_tables = {
"global": GLOBAL_NAV,
"camera": CAMERA_NAV,
"enrichment": ENRICHMENT_NAV,
"system": SYSTEM_NAV,
}
table = nav_tables.get(level)
if table is None:
return None
entry = table.get(section_key)
if entry is None:
return None
group, page = entry
return f"Settings > {group} > {page}"
def detect_level(section_key: str) -> str:
"""Detect whether a config section is global, camera, enrichment, or system."""
if section_key in SYSTEM_NAV:
return "system"
if section_key in ENRICHMENT_NAV:
return "enrichment"
if section_key in GLOBAL_NAV:
return "global"
if section_key in CAMERA_NAV:
return "camera"
return "global"

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"""Load JSON schema from Frigate's Pydantic config models."""
from typing import Any
def load_schema() -> dict[str, Any]:
"""Generate and return the full JSON schema for FrigateConfig."""
from frigate.config.config import FrigateConfig
from frigate.util.schema import get_config_schema
return get_config_schema(FrigateConfig)
def resolve_ref(schema: dict[str, Any], ref: str) -> dict[str, Any]:
"""Resolve a $ref pointer within the schema."""
# ref format: "#/$defs/RecordConfig"
parts = ref.lstrip("#/").split("/")
node = schema
for part in parts:
node = node[part]
return node
def resolve_schema_node(
schema: dict[str, Any], node: dict[str, Any]
) -> dict[str, Any]:
"""Resolve a schema node, following $ref and allOf if present."""
if "$ref" in node:
node = resolve_ref(schema, node["$ref"])
if "allOf" in node:
merged: dict[str, Any] = {}
for item in node["allOf"]:
resolved = resolve_schema_node(schema, item)
merged.update(resolved)
return merged
return node
def get_section_schema(
schema: dict[str, Any], section_key: str
) -> dict[str, Any] | None:
"""Get the resolved schema for a top-level config section."""
props = schema.get("properties", {})
if section_key not in props:
return None
return resolve_schema_node(schema, props[section_key])
def get_field_info(
schema: dict[str, Any], section_key: str, field_path: list[str]
) -> dict[str, Any] | None:
"""Get schema info for a specific field path within a section.
Args:
schema: Full JSON schema
section_key: Top-level section (e.g., "record")
field_path: List of nested keys (e.g., ["continuous", "days"])
Returns:
Resolved schema node for the field, or None if not found.
"""
section = get_section_schema(schema, section_key)
if section is None:
return None
node = section
for key in field_path:
props = node.get("properties", {})
if key not in props:
return None
node = resolve_schema_node(schema, props[key])
return node
def is_boolean_field(field_schema: dict[str, Any]) -> bool:
"""Check if a schema node represents a boolean field."""
return field_schema.get("type") == "boolean"
def is_enum_field(field_schema: dict[str, Any]) -> bool:
"""Check if a schema node is an enum."""
return "enum" in field_schema
def is_object_field(field_schema: dict[str, Any]) -> bool:
"""Check if a schema node is an object with properties."""
return field_schema.get("type") == "object" or "properties" in field_schema

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"""Parse TypeScript section config files for hidden/advanced field info."""
import json
import re
from pathlib import Path
from typing import Any
SECTION_CONFIGS_DIR = (
Path(__file__).resolve().parents[3]
/ "web"
/ "src"
/ "components"
/ "config-form"
/ "section-configs"
)
def _extract_string_array(text: str, field_name: str) -> list[str]:
"""Extract a string array value from TypeScript object literal text."""
pattern = rf"{field_name}\s*:\s*\[(.*?)\]"
match = re.search(pattern, text, re.DOTALL)
if not match:
return []
content = match.group(1)
return re.findall(r'"([^"]*)"', content)
def _parse_section_file(filepath: Path) -> dict[str, Any]:
"""Parse a single section config .ts file."""
text = filepath.read_text()
# Extract base block
base_match = re.search(r"base\s*:\s*\{(.*?)\n \}", text, re.DOTALL)
base_text = base_match.group(1) if base_match else ""
# Extract global block
global_match = re.search(r"global\s*:\s*\{(.*?)\n \}", text, re.DOTALL)
global_text = global_match.group(1) if global_match else ""
# Extract camera block
camera_match = re.search(r"camera\s*:\s*\{(.*?)\n \}", text, re.DOTALL)
camera_text = camera_match.group(1) if camera_match else ""
result: dict[str, Any] = {
"fieldOrder": _extract_string_array(base_text, "fieldOrder"),
"hiddenFields": _extract_string_array(base_text, "hiddenFields"),
"advancedFields": _extract_string_array(base_text, "advancedFields"),
}
# Merge global-level hidden fields
global_hidden = _extract_string_array(global_text, "hiddenFields")
if global_hidden:
result["globalHiddenFields"] = global_hidden
# Merge camera-level hidden fields
camera_hidden = _extract_string_array(camera_text, "hiddenFields")
if camera_hidden:
result["cameraHiddenFields"] = camera_hidden
return result
def load_section_configs() -> dict[str, dict[str, Any]]:
"""Load all section configs from TypeScript files.
Returns:
Dict mapping section name to parsed config.
"""
# Read sectionConfigs.ts to get the mapping of section keys to filenames
registry_path = SECTION_CONFIGS_DIR.parent / "sectionConfigs.ts"
registry_text = registry_path.read_text()
configs: dict[str, dict[str, Any]] = {}
for ts_file in SECTION_CONFIGS_DIR.glob("*.ts"):
if ts_file.name == "types.ts":
continue
section_name = ts_file.stem
configs[section_name] = _parse_section_file(ts_file)
# Map section config keys from the registry (handles renames like
# "timestamp_style: timestampStyle")
key_map: dict[str, str] = {}
for match in re.finditer(
r"(\w+)(?:\s*:\s*\w+)?\s*,", registry_text[registry_text.find("{") :]
):
key = match.group(1)
key_map[key] = key
# Handle explicit key mappings like `timestamp_style: timestampStyle`
for match in re.finditer(r"(\w+)\s*:\s*(\w+)\s*,", registry_text):
key_map[match.group(1)] = match.group(2)
return configs
def get_hidden_fields(
configs: dict[str, dict[str, Any]],
section_key: str,
level: str = "global",
) -> set[str]:
"""Get the set of hidden fields for a section at a given level.
Args:
configs: Loaded section configs
section_key: Config section name (e.g., "record")
level: "global" or "camera"
Returns:
Set of hidden field paths (e.g., {"enabled_in_config", "sync_recordings"})
"""
config = configs.get(section_key, {})
hidden = set(config.get("hiddenFields", []))
if level == "global":
hidden.update(config.get("globalHiddenFields", []))
elif level == "camera":
hidden.update(config.get("cameraHiddenFields", []))
return hidden
def get_advanced_fields(
configs: dict[str, dict[str, Any]],
section_key: str,
) -> set[str]:
"""Get the set of advanced fields for a section."""
config = configs.get(section_key, {})
return set(config.get("advancedFields", []))

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"""Generate UI tab markdown content from parsed YAML blocks."""
from typing import Any
from .i18n_loader import get_field_description, get_field_label, get_value_label
from .nav_map import ALL_CONFIG_SECTIONS, detect_level, get_nav_path
from .schema_loader import is_boolean_field, is_object_field
from .section_config_parser import get_hidden_fields
from .yaml_extractor import YamlBlock, get_leaf_paths
def _format_value(
value: object,
field_schema: dict[str, Any] | None,
i18n: dict[str, Any] | None = None,
) -> str:
"""Format a YAML value for UI display.
Looks up i18n labels for enum/option values when available.
"""
if field_schema and is_boolean_field(field_schema):
return "on" if value else "off"
if isinstance(value, bool):
return "on" if value else "off"
if isinstance(value, list):
if len(value) == 0:
return "an empty list"
items = []
for v in value:
label = get_value_label(i18n, str(v)) if i18n else None
items.append(f"`{label}`" if label else f"`{v}`")
return ", ".join(items)
if value is None:
return "empty"
# Try i18n label for the raw value (enum translations)
if i18n and isinstance(value, str):
label = get_value_label(i18n, value)
if label:
return f"`{label}`"
return f"`{value}`"
def _build_field_label(
i18n: dict[str, Any],
section_key: str,
field_path: list[str],
level: str,
) -> str:
"""Build the display label for a field using i18n labels.
For a path like ["continuous", "days"], produces
"Continuous retention > Retention days" using the actual i18n labels.
"""
parts: list[str] = []
for depth in range(len(field_path)):
sub_path = field_path[: depth + 1]
label = get_field_label(i18n, section_key, sub_path, level)
if label:
parts.append(label)
else:
# Fallback to title-cased field name
parts.append(field_path[depth].replace("_", " ").title())
return " > ".join(parts)
def _is_hidden(
field_key: str,
full_path: list[str],
hidden_fields: set[str],
) -> bool:
"""Check if a field should be hidden from UI output."""
# Check exact match
if field_key in hidden_fields:
return True
# Check dotted path match (e.g., "alerts.enabled_in_config")
dotted = ".".join(str(p) for p in full_path)
if dotted in hidden_fields:
return True
# Check wildcard patterns (e.g., "filters.*.mask")
for pattern in hidden_fields:
if "*" in pattern:
parts = pattern.split(".")
if len(parts) == len(full_path):
match = all(
p == "*" or p == fp for p, fp in zip(parts, full_path)
)
if match:
return True
return False
def generate_ui_content(
block: YamlBlock,
schema: dict[str, Any],
i18n: dict[str, Any],
section_configs: dict[str, dict[str, Any]],
) -> str | None:
"""Generate UI tab markdown content for a YAML block.
Args:
block: Parsed YAML block from a doc file
schema: Full JSON schema
i18n: Loaded i18n translations
section_configs: Parsed section config data
Returns:
Generated markdown string for the UI tab, or None if the block
can't be converted (not a config block, etc.)
"""
if block.section_key is None:
return None
# Determine which config data to walk
if block.is_camera_level:
# Camera-level: unwrap cameras.{name}.{section}
cam_data = block.parsed.get("cameras", {})
cam_name = block.camera_name or next(iter(cam_data), None)
if not cam_name:
return None
inner = cam_data.get(cam_name, {})
if not isinstance(inner, dict):
return None
level = "camera"
else:
inner = block.parsed
# Determine level from section key
level = detect_level(block.section_key)
# Collect sections to process (may span multiple top-level keys)
sections_to_process: list[tuple[str, dict]] = []
for key in inner:
if key in ALL_CONFIG_SECTIONS or key == block.section_key:
val = inner[key]
if isinstance(val, dict):
sections_to_process.append((key, val))
else:
# Simple scalar at section level (e.g., record.enabled = True)
sections_to_process.append((key, {key: val}))
# If inner is the section itself (e.g., parsed = {"record": {...}})
if not sections_to_process and block.section_key in inner:
section_data = inner[block.section_key]
if isinstance(section_data, dict):
sections_to_process = [(block.section_key, section_data)]
if not sections_to_process:
# Try treating the whole inner dict as the section data
sections_to_process = [(block.section_key, inner)]
# Choose pattern based on whether YAML has comments (descriptive) or values
use_table = block.has_comments
lines: list[str] = []
step_num = 1
for section_key, section_data in sections_to_process:
# Get navigation path
i18n_level = "cameras" if level == "camera" else "global"
nav_path = get_nav_path(section_key, level)
if nav_path is None:
# Try global as fallback
nav_path = get_nav_path(section_key, "global")
if nav_path is None:
continue
# Get hidden fields for this section
hidden = get_hidden_fields(section_configs, section_key, level)
# Get leaf paths from the YAML data
leaves = get_leaf_paths(section_data)
# Filter out hidden fields
visible_leaves: list[tuple[tuple[str, ...], object]] = []
for path, value in leaves:
path_list = list(path)
if not _is_hidden(path_list[-1], path_list, hidden):
visible_leaves.append((path, value))
if not visible_leaves:
continue
if use_table:
# Pattern A: Field table with descriptions
lines.append(
f'Navigate to <NavPath path="{nav_path}" />.'
)
lines.append("")
lines.append("| Field | Description |")
lines.append("|-------|-------------|")
for path, _value in visible_leaves:
path_list = list(path)
label = _build_field_label(
i18n, section_key, path_list, i18n_level
)
desc = get_field_description(
i18n, section_key, path_list, i18n_level
)
if not desc:
desc = ""
lines.append(f"| **{label}** | {desc} |")
else:
# Pattern B: Set instructions
multi_section = len(sections_to_process) > 1
if multi_section:
camera_note = ""
if block.is_camera_level:
camera_note = (
" and select your camera"
)
lines.append(
f'{step_num}. Navigate to <NavPath path="{nav_path}" />{camera_note}.'
)
else:
if block.is_camera_level:
lines.append(
f'1. Navigate to <NavPath path="{nav_path}" /> and select your camera.'
)
else:
lines.append(
f'Navigate to <NavPath path="{nav_path}" />.'
)
lines.append("")
from .schema_loader import get_field_info
for path, value in visible_leaves:
path_list = list(path)
label = _build_field_label(
i18n, section_key, path_list, i18n_level
)
field_info = get_field_info(schema, section_key, path_list)
formatted = _format_value(value, field_info, i18n)
if multi_section or block.is_camera_level:
lines.append(f" - Set **{label}** to {formatted}")
else:
lines.append(f"- Set **{label}** to {formatted}")
step_num += 1
if not lines:
return None
return "\n".join(lines)
def wrap_with_config_tabs(ui_content: str, yaml_raw: str, highlight: str | None = None) -> str:
"""Wrap UI content and YAML in ConfigTabs markup.
Args:
ui_content: Generated UI tab markdown
yaml_raw: Original YAML text
highlight: Optional highlight spec (e.g., "{3-4}")
Returns:
Full ConfigTabs MDX block
"""
highlight_str = f" {highlight}" if highlight else ""
return f"""<ConfigTabs>
<TabItem value="ui">
{ui_content}
</TabItem>
<TabItem value="yaml">
```yaml{highlight_str}
{yaml_raw}
```
</TabItem>
</ConfigTabs>"""

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"""Extract YAML code blocks from markdown documentation files."""
import re
from dataclasses import dataclass, field
import yaml
@dataclass
class YamlBlock:
"""A YAML code block extracted from a markdown file."""
raw: str # Original YAML text
parsed: dict # Parsed YAML content
line_start: int # Line number in the markdown file (1-based)
line_end: int # End line number
highlight: str | None = None # Highlight spec (e.g., "{3-4}")
has_comments: bool = False # Whether the YAML has inline comments
inside_config_tabs: bool = False # Already wrapped in ConfigTabs
section_key: str | None = None # Detected top-level config section
is_camera_level: bool = False # Whether this is camera-level config
camera_name: str | None = None # Camera name if camera-level
config_keys: list[str] = field(
default_factory=list
) # Top-level keys in the YAML
def extract_yaml_blocks(content: str) -> list[YamlBlock]:
"""Extract all YAML fenced code blocks from markdown content.
Args:
content: Markdown file content
Returns:
List of YamlBlock instances
"""
blocks: list[YamlBlock] = []
lines = content.split("\n")
i = 0
in_config_tabs = False
while i < len(lines):
line = lines[i]
# Track ConfigTabs context
if "<ConfigTabs>" in line:
in_config_tabs = True
elif "</ConfigTabs>" in line:
in_config_tabs = False
# Look for YAML fence opening
fence_match = re.match(r"^```yaml\s*(\{[^}]*\})?\s*$", line)
if fence_match:
highlight = fence_match.group(1)
start_line = i + 1 # 1-based
yaml_lines: list[str] = []
i += 1
# Collect until closing fence
while i < len(lines) and not lines[i].startswith("```"):
yaml_lines.append(lines[i])
i += 1
end_line = i + 1 # 1-based, inclusive of closing fence
raw = "\n".join(yaml_lines)
# Check for inline comments
has_comments = any(
re.search(r"#\s*(<-|[A-Za-z])", yl) for yl in yaml_lines
)
# Parse YAML
try:
parsed = yaml.safe_load(raw)
except yaml.YAMLError:
i += 1
continue
if not isinstance(parsed, dict):
i += 1
continue
# Detect config section and level
config_keys = list(parsed.keys())
section_key = None
is_camera = False
camera_name = None
if "cameras" in parsed and isinstance(parsed["cameras"], dict):
is_camera = True
cam_entries = parsed["cameras"]
if len(cam_entries) == 1:
camera_name = list(cam_entries.keys())[0]
inner = cam_entries[camera_name]
if isinstance(inner, dict):
inner_keys = list(inner.keys())
if len(inner_keys) >= 1:
section_key = inner_keys[0]
elif len(config_keys) >= 1:
section_key = config_keys[0]
blocks.append(
YamlBlock(
raw=raw,
parsed=parsed,
line_start=start_line,
line_end=end_line,
highlight=highlight,
has_comments=has_comments,
inside_config_tabs=in_config_tabs,
section_key=section_key,
is_camera_level=is_camera,
camera_name=camera_name,
config_keys=config_keys,
)
)
i += 1
return blocks
@dataclass
class ConfigTabsBlock:
"""An existing ConfigTabs block in a markdown file."""
line_start: int # 1-based line of <ConfigTabs>
line_end: int # 1-based line of </ConfigTabs>
ui_content: str # Content inside the UI TabItem
yaml_block: YamlBlock # The YAML block inside the YAML TabItem
raw_text: str # Full raw text of the ConfigTabs block
def extract_config_tabs_blocks(content: str) -> list[ConfigTabsBlock]:
"""Extract existing ConfigTabs blocks from markdown content.
Parses the structure:
<ConfigTabs>
<TabItem value="ui">
...ui content...
</TabItem>
<TabItem value="yaml">
```yaml
...yaml...
```
</TabItem>
</ConfigTabs>
Returns:
List of ConfigTabsBlock instances
"""
blocks: list[ConfigTabsBlock] = []
lines = content.split("\n")
i = 0
while i < len(lines):
if "<ConfigTabs>" not in lines[i]:
i += 1
continue
block_start = i # 0-based
# Find </ConfigTabs>
j = i + 1
while j < len(lines) and "</ConfigTabs>" not in lines[j]:
j += 1
if j >= len(lines):
i += 1
continue
block_end = j # 0-based, line with </ConfigTabs>
block_text = "\n".join(lines[block_start : block_end + 1])
# Extract UI content (between <TabItem value="ui"> and </TabItem>)
ui_match = re.search(
r'<TabItem\s+value="ui">\s*\n(.*?)\n\s*</TabItem>',
block_text,
re.DOTALL,
)
ui_content = ui_match.group(1).strip() if ui_match else ""
# Extract YAML block from inside the yaml TabItem
yaml_tab_match = re.search(
r'<TabItem\s+value="yaml">\s*\n(.*?)\n\s*</TabItem>',
block_text,
re.DOTALL,
)
yaml_block = None
if yaml_tab_match:
yaml_tab_text = yaml_tab_match.group(1)
fence_match = re.search(
r"```yaml\s*(\{[^}]*\})?\s*\n(.*?)\n```",
yaml_tab_text,
re.DOTALL,
)
if fence_match:
highlight = fence_match.group(1)
yaml_raw = fence_match.group(2)
has_comments = bool(
re.search(r"#\s*(<-|[A-Za-z])", yaml_raw)
)
try:
parsed = yaml.safe_load(yaml_raw)
except yaml.YAMLError:
parsed = {}
if isinstance(parsed, dict):
config_keys = list(parsed.keys())
section_key = None
is_camera = False
camera_name = None
if "cameras" in parsed and isinstance(
parsed["cameras"], dict
):
is_camera = True
cam_entries = parsed["cameras"]
if len(cam_entries) == 1:
camera_name = list(cam_entries.keys())[0]
inner = cam_entries[camera_name]
if isinstance(inner, dict):
inner_keys = list(inner.keys())
if len(inner_keys) >= 1:
section_key = inner_keys[0]
elif len(config_keys) >= 1:
section_key = config_keys[0]
yaml_block = YamlBlock(
raw=yaml_raw,
parsed=parsed,
line_start=block_start + 1,
line_end=block_end + 1,
highlight=highlight,
has_comments=has_comments,
inside_config_tabs=True,
section_key=section_key,
is_camera_level=is_camera,
camera_name=camera_name,
config_keys=config_keys,
)
if yaml_block:
blocks.append(
ConfigTabsBlock(
line_start=block_start + 1, # 1-based
line_end=block_end + 1, # 1-based
ui_content=ui_content,
yaml_block=yaml_block,
raw_text=block_text,
)
)
i = j + 1
return blocks
def get_leaf_paths(
data: dict, prefix: tuple[str, ...] = ()
) -> list[tuple[tuple[str, ...], object]]:
"""Walk a parsed YAML dict and return all leaf key paths with values.
Args:
data: Parsed YAML dict
prefix: Current key path prefix
Returns:
List of (key_path_tuple, value) pairs.
e.g., [( ("record", "continuous", "days"), 3 ), ...]
"""
results: list[tuple[tuple[str, ...], object]] = []
for key, value in data.items():
path = prefix + (str(key),)
if isinstance(value, dict):
results.extend(get_leaf_paths(value, path))
else:
results.append((path, value))
return results