sica-fondt/capabilities/tools/hermes/debug_helpers.py
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

106 lines
3.6 KiB
Python

"""Shared debug session infrastructure for Hermes tools.
Replaces the identical DEBUG_MODE / _log_debug_call / _save_debug_log /
get_debug_session_info boilerplate previously duplicated across web_tools,
vision_tools, mixture_of_agents_tool, and image_generation_tool.
Usage in a tool module:
from tools.debug_helpers import DebugSession
_debug = DebugSession("web_tools", env_var="WEB_TOOLS_DEBUG")
# Log a call (no-op when debug mode is off)
_debug.log_call("web_search", {"query": q, "results": len(r)})
# Save the debug log (no-op when debug mode is off)
_debug.save()
# Expose debug info to external callers
def get_debug_session_info():
return _debug.get_session_info()
"""
import datetime
import json
import logging
import os
import uuid
from typing import Any, Dict
from hermes_constants import get_hermes_home
logger = logging.getLogger(__name__)
class DebugSession:
"""Per-tool debug session that records tool calls to a JSON log file.
Activated by a tool-specific environment variable (e.g. WEB_TOOLS_DEBUG=true).
When disabled, all methods are cheap no-ops.
"""
def __init__(self, tool_name: str, *, env_var: str) -> None:
self.tool_name = tool_name
self.enabled = os.getenv(env_var, "false").lower() == "true"
self.session_id = str(uuid.uuid4()) if self.enabled else ""
self.log_dir = get_hermes_home() / "logs"
self._calls: list[Dict[str, Any]] = []
self._start_time = datetime.datetime.now().isoformat() if self.enabled else ""
if self.enabled:
self.log_dir.mkdir(parents=True, exist_ok=True)
logger.debug("%s debug mode enabled - Session ID: %s",
tool_name, self.session_id)
@property
def active(self) -> bool:
return self.enabled
def log_call(self, call_name: str, call_data: Dict[str, Any]) -> None:
"""Append a tool-call entry to the in-memory log."""
if not self.enabled:
return
self._calls.append({
"timestamp": datetime.datetime.now().isoformat(),
"tool_name": call_name,
**call_data,
})
def save(self) -> None:
"""Flush the in-memory log to a JSON file in the logs directory."""
if not self.enabled:
return
try:
filename = f"{self.tool_name}_debug_{self.session_id}.json"
filepath = self.log_dir / filename
payload = {
"session_id": self.session_id,
"start_time": self._start_time,
"end_time": datetime.datetime.now().isoformat(),
"debug_enabled": True,
"total_calls": len(self._calls),
"tool_calls": self._calls,
}
with open(filepath, "w", encoding="utf-8") as f:
json.dump(payload, f, indent=2, ensure_ascii=False)
logger.debug("%s debug log saved: %s", self.tool_name, filepath)
except Exception as e:
logger.error("Error saving %s debug log: %s", self.tool_name, e)
def get_session_info(self) -> Dict[str, Any]:
"""Return a summary dict suitable for returning from get_debug_session_info()."""
if not self.enabled:
return {
"enabled": False,
"session_id": None,
"log_path": None,
"total_calls": 0,
}
return {
"enabled": True,
"session_id": self.session_id,
"log_path": str(self.log_dir / f"{self.tool_name}_debug_{self.session_id}.json"),
"total_calls": len(self._calls),
}