Source code for opentau.configs.refs

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"""Resolve ``$ref`` includes inside JSON config files.

Lets a JSON config split itself across multiple files. Anywhere a JSON value
is expected, an object of the form ``{"$ref": "path/to/other.json"}`` loads
that file's content and inlines it. Sibling keys deep-merge over the loaded
content (sibling values win on conflict), enabling small, targeted overrides
of a referenced fragment.

Example:

.. code-block:: json

    // main.json
    {
        "dataset_mixture": {
            "$ref": "mixtures/big_mixture.json",
            "weights": [0.5, 0.5]
        }
    }

Rules:

- ``$ref`` value must be a string. Relative paths resolve against the file
  that contains the ``$ref`` (not CWD).
- Refs may appear at any depth, in dicts or list elements.
- Refs may chain (a referenced file may itself contain ``$ref`` keys); cycles
  raise :class:`RefError`.
- Sibling keys are only allowed when the referenced content is a JSON object.
- Currently only whole-file references are supported (no JSON-pointer
  fragments). HuggingFace Hub paths are not resolved here — only local files.
- Path resolution follows symlinks (``Path.resolve()``). HuggingFace cache
  snapshots are symlinks into a content-addressed blob directory, so a
  relative ``$ref`` inside an HF-cached config will resolve against that
  flat blob dir — not the snapshot dir — and is unlikely to find the target.
  Use absolute paths or copy the config out of the HF cache before adding
  ``$ref`` includes.
"""

import copy
import json
import os
import tempfile
from pathlib import Path
from typing import Any

REF_KEY = "$ref"


[docs] class RefError(Exception): """Raised when ``$ref`` resolution fails."""
[docs] def resolve_refs(config_path: str | Path) -> Any: """Load a JSON file and recursively resolve all ``$ref`` includes. Args: config_path: Path to the root JSON file. Returns: The fully resolved JSON tree (typically a dict, but may be a list or scalar depending on what the file and its includes contain). Raises: RefError: If a referenced file is missing, contains invalid JSON, forms a cycle, has a non-string ``$ref`` value, or has sibling keys alongside a ``$ref`` whose target is not a JSON object. """ abs_path = Path(config_path).resolve() return _resolve_file(abs_path, _stack=())
[docs] def resolve_refs_to_tempfile(config_path: str | Path) -> Path: """Resolve ``$ref`` includes and write the result to a temp JSON file. The caller is responsible for unlinking the returned path. """ resolved = resolve_refs(config_path) fd, tmp_path = tempfile.mkstemp(prefix="opentau_refs_", suffix=".json") try: with os.fdopen(fd, "w") as f: json.dump(resolved, f, indent=4) except BaseException: Path(tmp_path).unlink(missing_ok=True) raise return Path(tmp_path)
def _resolve_file(abs_path: Path, _stack: tuple[Path, ...]) -> Any: if abs_path in _stack: chain = " -> ".join(str(p) for p in (*_stack, abs_path)) raise RefError(f"Cyclic $ref detected: {chain}") if not abs_path.is_file(): raise RefError(f"$ref target not found: {abs_path}") try: with open(abs_path) as f: data = json.load(f) except json.JSONDecodeError as e: raise RefError(f"Invalid JSON in {abs_path}: {e}") from e return _resolve_node(data, base_dir=abs_path.parent, _stack=(*_stack, abs_path)) def _resolve_node(node: Any, base_dir: Path, _stack: tuple[Path, ...]) -> Any: if isinstance(node, dict): if REF_KEY in node: ref_value = node[REF_KEY] if not isinstance(ref_value, str): raise RefError( f"{REF_KEY} value must be a string path, got {type(ref_value).__name__} " f"in {_stack[-1] if _stack else '<root>'}" ) target = (base_dir / ref_value).resolve() loaded = _resolve_file(target, _stack) siblings = {k: v for k, v in node.items() if k != REF_KEY} if not siblings: return loaded if not isinstance(loaded, dict): raise RefError( f"Cannot merge sibling keys {sorted(siblings)} with non-object " f"content loaded from {target}" ) resolved_siblings = {k: _resolve_node(v, base_dir, _stack) for k, v in siblings.items()} return _deep_merge(loaded, resolved_siblings) return {k: _resolve_node(v, base_dir, _stack) for k, v in node.items()} if isinstance(node, list): return [_resolve_node(item, base_dir, _stack) for item in node] return node def _deep_merge(base: dict, overrides: dict) -> dict: """Return a deep-merged copy of ``base`` with ``overrides`` applied. For each key in ``overrides``: if both sides hold a dict, recurse; else the override value replaces the base value (lists are replaced, not concatenated). """ result = copy.deepcopy(base) for key, value in overrides.items(): if isinstance(result.get(key), dict) and isinstance(value, dict): result[key] = _deep_merge(result[key], value) else: result[key] = value return result