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Alfredv2/alfred/app/services/dona_json_autorender_v1.py
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2026-11-01 15:01:22 +01:00

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3.1 KiB
Python

"""Dona: reuse the existing, data-only dashboard renderer for Hermes replies.
This module never executes model-supplied HTML, JavaScript or instructions. Only
`dona_dynamic.normalize_dashboard` can build cards; invalid content remains text.
"""
from __future__ import annotations
import re
from typing import Any
from services import dona_dynamic
MAX_JSON = dona_dynamic.MAX_RESPONSE
def is_monitor_request(prompt: str) -> bool:
"""Route clearly operational Proxmox/Wazuh checks to existing dashboard API."""
q = str(prompt or '').casefold()
if not re.search(r'\b(proxmox|wazuh|cluster|clusters)\b', q):
return False
return bool(re.search(
r'\b(v[eé]rifi(?:e|es|er|ez)|contr[oô]le(?:r|s|z)?|surveille(?:r|s|z)?|'
r'montre|affiche|tableau|[eé]tat|statut|status|ressources?|'
r'performances?|noeuds?|nœuds?|serveurs?|alertes?|supervision|'
r'fonctionn(?:e|ement)|disponibilit[eé])\b', q))
def _candidate_text(answer: Any, display: Any) -> str | None:
if isinstance(display, dict):
if isinstance(display.get('cards'), list):
# Raw dashboard object should not be converted via repr().
import json
return json.dumps(display, ensure_ascii=False)
if display.get('type') in (None, 'text'):
raw = display.get('text')
if isinstance(raw, str) and '"cards"' in raw:
return raw
if isinstance(answer, str) and '"cards"' in answer:
return answer
if isinstance(answer, dict):
if isinstance(answer.get('cards'), list):
import json
return json.dumps(answer, ensure_ascii=False)
for key in ('text', 'speech'):
raw = answer.get(key)
if isinstance(raw, str) and '"cards"' in raw:
return raw
return None
def _clean_line_continuations(text: str) -> str:
"""Repair two common harmless Hermes JSON formatting artefacts only.
Trailing backslash + real newline (copied JSON), and invalid ``\\~``
escaping in approximate values. Other malformed content is left untouched.
"""
text = re.sub(r'\\[ \t]*\r?\n', '\n', text)
return text.replace('\\~', '~')
def as_board(answer: Any, display: Any, prompt: str) -> dict | None:
"""Return a server-validated dashboard, or None for an ordinary answer."""
raw = _candidate_text(answer, display)
if not raw or len(raw) > MAX_JSON:
return None
try:
extracted = dona_dynamic.extract_dashboard(_clean_line_continuations(raw))
return dona_dynamic.normalize_dashboard(extracted, prompt=prompt, origin='hermes')
except (ValueError, TypeError, KeyError):
return None
def convert(answer: Any, prompt: str, display: Any, speech: str):
"""Convert ONLY actual card JSON. Preserve ordinary answers and images."""
if isinstance(display, dict) and display.get('type') not in (None, 'text'):
return display, speech
board = as_board(answer, display, prompt)
if board is None:
return display, speech
return {'type': 'dona_dynamic', 'dashboard': board}, 'Voici le tableau de bord : ' + board['title']