oclaw/runtime/prompt_templates/frontmatter.py
oliver b0e0c05d8a feat: integrate netx ops data access and unify prompt/workspace runtime
Migrate prompt templates into runtime workspaces, add network_ops netx toolchain (latest batch injection, raw fields, SQL query), and align docs/tests/admin/runtime wiring so ops analysis can query netx detail data through stable role-scoped paths.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-03 23:54:38 +08:00

92 lines
3 KiB
Python

from __future__ import annotations
import json
import os
from typing import Any
try:
import yaml
except ImportError: # pragma: no cover - requirements.txt includes PyYAML
yaml = None # type: ignore[assignment]
def split_markdown_frontmatter(raw: str) -> tuple[str, str]:
"""Split leading YAML frontmatter from markdown body (oclaw-style `---` fences)."""
txt = str(raw or "")
if not txt.startswith("---\n"):
return "", txt
end = txt.find("\n---\n", 4)
if end < 0:
return "", txt
return txt[4:end], txt[end + 5 :]
def _legacy_line_parse(frontmatter_text: str) -> dict[str, Any]:
"""Best-effort key: value lines (pre-YAML migration compatibility)."""
out: dict[str, Any] = {}
for ln in str(frontmatter_text or "").splitlines():
line = ln.strip()
if not line or line.startswith("#") or ":" not in line:
continue
k, v = line.split(":", 1)
key = str(k).strip()
val = str(v).strip()
if (val.startswith('"') and val.endswith('"')) or (val.startswith("'") and val.endswith("'")):
val = val[1:-1]
out[key] = val
meta_raw = str(out.get("metadata") or "").strip()
if meta_raw:
try:
out["metadata"] = json.loads(meta_raw)
except Exception:
out["metadata"] = {}
else:
out["metadata"] = {}
return out
def frontmatter_strict_yaml() -> bool:
return str(os.getenv("AIA_PROMPT_FRONTMATTER_STRICT", "")).strip().lower() in {"1", "true", "yes", "on"}
def parse_frontmatter_dict(frontmatter_text: str, *, source: str = "prompt") -> dict[str, Any]:
"""
Parse YAML frontmatter. On YAML failure, falls back to legacy line parser unless
AIA_PROMPT_FRONTMATTER_STRICT is truthy (then raises).
"""
text = str(frontmatter_text or "").strip()
if not text:
return {}
strict = frontmatter_strict_yaml()
if yaml is None:
if strict:
raise RuntimeError("PyYAML is required when AIA_PROMPT_FRONTMATTER_STRICT is enabled")
return _legacy_line_parse(text)
try:
data = yaml.safe_load(text)
except yaml.YAMLError as exc:
if strict:
raise ValueError(f"invalid YAML frontmatter ({source}): {exc}") from exc
return _legacy_line_parse(text)
if data is None:
return {}
if not isinstance(data, dict):
if strict:
raise ValueError(f"frontmatter YAML root must be a mapping ({source})")
return _legacy_line_parse(text)
return dict(data)
def parse_markdown_document(raw: str, *, source: str = "markdown") -> tuple[dict[str, Any], str]:
"""Split file and parse frontmatter to a dict; body is stripped markdown."""
fm_text, body = split_markdown_frontmatter(raw)
meta = parse_frontmatter_dict(fm_text, source=source) if fm_text.strip() else {}
return meta, str(body or "").strip()
__all__ = [
"frontmatter_strict_yaml",
"parse_frontmatter_dict",
"parse_markdown_document",
"split_markdown_frontmatter",
]