ai-lsc/src/ai_lsc/registry/manager.py

152 lines
5.7 KiB
Python
Executable File

"""
AI-LSC — Registry manager.
Load / merge / query the on-disk ecosystem registry. The canonical source
of truth is the per-layer modules in ``ai_lsc.registry.layers`` (discovered
automatically by :mod:`ai_lsc.registry.loader`). On first run the merged
registry is written to ``<base_dir>/registry/ecosystem.json``; on subsequent
runs structural fields (layer, level, role, category) are synced from the
layer files while user customisations (description, installer tweaks,
flags, filesystem paths) are preserved.
All path operations use ``pathlib.Path`` instead of ``os.path``.
"""
from __future__ import annotations
import json
from itertools import chain
from pathlib import Path
from typing import Any
import logging
from ai_lsc.registry.loader import load_merged_registry
logger = logging.getLogger(__name__)
class RegistryManager:
"""Knowledge-graph engine backed by a JSON file on disk.
Parameters
----------
registry_dir:
Absolute path to the directory containing ``ecosystem.json``.
"""
def __init__(self, registry_dir: str | Path) -> None:
self.registry_dir = Path(registry_dir)
self.registry_file: Path = self.registry_dir / "ecosystem.json"
self.data: dict[str, dict[str, Any]] = {}
self._bootstrap()
# ── Bootstrap / merge ────────────────────────────────────────────
def _bootstrap(self) -> None:
self.registry_dir.mkdir(parents=True, exist_ok=True)
# Always load the canonical registry from per-layer files.
upstream = load_merged_registry()
if not self.registry_file.exists():
# First run — seed ecosystem.json from layer files.
self.data = dict(upstream)
self.registry_file.write_text(
json.dumps(self.data, indent=4), encoding="utf-8"
)
else:
try:
self.data = json.loads(
self.registry_file.read_text(encoding="utf-8")
)
except (json.JSONDecodeError, OSError) as exc:
logger.error(
"Failed to parse %s: %s -- re-creating from layer files",
self.registry_file, exc,
)
self.data = dict(upstream)
self.registry_file.write_text(
json.dumps(self.data, indent=4), encoding="utf-8",
)
# Sync: merge new tools, update structural fields from upstream.
self._sync_with_upstream(upstream)
def _sync_with_upstream(
self, upstream: dict[str, dict[str, Any]]
) -> None:
"""Merge upstream (per-layer files) into the on-disk registry.
* New tools (not in ecosystem.json) are added wholesale.
* Existing tools get their structural fields (layer, level, role,
category, name, installer, launcher, deps, flags, license)
updated from upstream so the topology stays consistent.
* User-added keys that don't exist upstream are preserved.
"""
changed = False
structural_keys = {
"name", "level", "layer", "role", "category",
"installer", "launcher", "deps", "flags", "license",
"description",
}
for tool_id, up_meta in upstream.items():
if tool_id not in self.data:
# Brand-new tool — add it.
self.data[tool_id] = up_meta
changed = True
else:
# Existing tool — sync structural fields from upstream.
existing = self.data[tool_id]
for key in structural_keys:
up_val = up_meta.get(key)
if up_val is not None and existing.get(key) != up_val:
existing[key] = up_val
changed = True
# Inject tool_id if missing.
if "tool_id" not in existing:
existing["tool_id"] = tool_id
changed = True
if changed:
self.registry_file.write_text(
json.dumps(self.data, indent=4), encoding="utf-8"
)
# ── Queries ──────────────────────────────────────────────────────
def get_all_tools(self) -> dict[str, dict[str, Any]]:
"""Return the full registry dict."""
return self.data
def get_tool(self, tool_id: str) -> dict[str, Any]:
"""Return a single tool's raw dict, or ``{}`` if unknown."""
return self.data.get(tool_id, {})
def get_grouped_by_layer(self) -> dict[str, list[tuple[str, dict]]]:
"""Return tools grouped and sorted by their ``layer`` field."""
layers: dict[str, list[tuple[str, dict]]] = {}
for t_id, meta in self.data.items():
layers.setdefault(
meta.get("layer", "Uncategorized"), []
).append((t_id, meta))
return dict(sorted(layers.items()))
# Host-level prerequisites referenced in deps but not managed as
# registry tools (mirrors _system_deps in stack/connections.py).
SYSTEM_DEPS: frozenset[str] = frozenset({"kubectl", "java"})
def check_dependencies(
self, selected: list[str],
) -> list[str]:
"""Return tool IDs that are required but missing from *selected*."""
all_deps = list(chain.from_iterable(
self.get_tool(t).get("deps", [])
for t in selected
if not t.startswith("skill:")
))
return list({
d for d in all_deps
if d not in selected and d not in self.SYSTEM_DEPS
})