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# -*- coding: utf-8 -*-
"""Map any dataset tool call/result onto HARNESS_TOOLS Hermes shapes — or drop."""
from __future__ import annotations
import json
import re
from typing import Any
from hermes_agent_eval import hermes_tool_content
from tool_runtime import HARNESS_TOOLS
HARNESS_NAMES = frozenset(
(t.get("function") or t).get("name")
for t in HARNESS_TOOLS
if (t.get("function") or t).get("name")
)
_SEARCH_RE = re.compile(
r"(search|news|web|google|bing|wiki|lookup|find_info|get_news|whois|stock|movie|image|restaurant)",
re.I,
)
_CALC_RE = re.compile(
r"(calc|math|compute|convert|currency|temperature|loan|mortgage|distance|random_number|evaluate)",
re.I,
)
_VAULT_READ_RE = re.compile(r"(vault_read|read_file|read_note|get_file|open_file)", re.I)
_VAULT_WRITE_RE = re.compile(r"(vault_write|write_file|save_note|create_file|write_note)", re.I)
_VAULT_SEARCH_RE = re.compile(r"(vault_search|search_notes|search_vault|grep_vault)", re.I)
def _as_dict(payload: Any) -> dict | None:
if isinstance(payload, dict):
return payload
if isinstance(payload, str):
try:
obj = json.loads(payload)
except (json.JSONDecodeError, TypeError):
return None
return obj if isinstance(obj, dict) else None
return None
def _query_from_args(args: dict, human: str) -> str:
for k in ("query", "q", "keywords", "search_query", "stock_symbol", "company", "title", "domain"):
v = args.get(k)
if isinstance(v, list):
v = " ".join(str(x) for x in v if x)
if isinstance(v, str) and v.strip():
return v.strip()
h = (human or "").strip()
return h[:120] if h else "search"
def _hits_from_payload(payload: dict) -> list[dict]:
"""Build {title,url,snippet} list from common alien shapes."""
data = payload.get("data")
if isinstance(data, dict) and isinstance(data.get("web"), list):
return [] # already Hermes — hermes_tool_content handles
for key in ("results", "articles", "movies", "images", "hits", "items"):
raw = payload.get(key)
if not isinstance(raw, list) or not raw:
continue
hits = []
for i, item in enumerate(raw):
if isinstance(item, str):
hits.append({"title": item, "snippet": item, "url": ""})
continue
if not isinstance(item, dict):
continue
title = (
item.get("title")
or item.get("name")
or item.get("headline")
or f"result {i + 1}"
)
desc = (
item.get("description")
or item.get("snippet")
or item.get("excerpt")
or item.get("summary")
or str(title)
)
url = item.get("url") or item.get("link") or ""
if url and not str(url).startswith(("http://", "https://")):
url = "https://" + str(url).lstrip("/")
hits.append({"title": str(title), "snippet": str(desc), "url": str(url)})
if hits:
return hits
# flat scalar bags (stock_price, etc.)
if len(payload) <= 6:
parts = []
for k, v in payload.items():
if k in ("error", "success", "ok", "data"):
continue
if isinstance(v, (str, int, float)):
parts.append(f"{k}: {v}")
elif isinstance(v, list) and v and all(isinstance(x, (str, int, float)) for x in v[:5]):
parts.append(f"{k}: {', '.join(str(x) for x in v[:5])}")
if parts:
text = "; ".join(parts)
return [{"title": text[:80], "snippet": text, "url": ""}]
return []
def _to_web_search(name: str, args: dict, payload: Any, human: str) -> tuple[str, dict, dict] | None:
p = _as_dict(payload)
if p is None:
return None
query = _query_from_args(args or {}, human)
nargs = {"query": query, "limit": 5}
data = p.get("data")
if isinstance(data, dict) and isinstance(data.get("web"), list):
content = hermes_tool_content("web_search", p)
return "web_search", nargs, content
hits = _hits_from_payload(p)
if not hits:
return None
content = hermes_tool_content("web_search", {"results": hits})
if not (content.get("data") or {}).get("web"):
return None
return "web_search", nargs, content
def _to_calculator(args: dict, payload: Any, human: str) -> tuple[str, dict, dict] | None:
p = _as_dict(payload)
if p is None:
return None
args = args or {}
expr = (
args.get("expression")
or args.get("expr")
or p.get("expression")
or p.get("expr")
)
result = p.get("result")
if result is None:
for k in (
"value",
"output",
"answer",
"converted",
"converted_amount",
"converted_temperature",
"converted_length",
"exchange_rate",
"stock_price",
"gcd",
"lcm",
):
if k in p:
result = p[k]
break
if expr is None:
if "amount" in args and ("from_currency" in args or "from" in args):
fr = args.get("from_currency") or args.get("from")
to = args.get("to_currency") or args.get("to")
expr = f"convert({args['amount']}, {fr!r}, {to!r})"
elif "temperature" in args:
expr = (
f"convert({args['temperature']}, "
f"{args.get('from_unit')!r}, {args.get('to_unit')!r})"
)
elif "length" in args:
expr = (
f"convert({args['length']}, "
f"{args.get('from_unit')!r}, {args.get('to_unit')!r})"
)
elif "base_currency" in args and "target_currency" in args:
expr = f"fx({args['base_currency']!r}, {args['target_currency']!r})"
elif "celsius" in args:
expr = f"convert({args['celsius']}, 'C', 'F')"
if expr is None or result is None:
return None
try:
if isinstance(result, str) and result.strip().startswith("$"):
result = float(re.sub(r"[^\d.]", "", result) or "nan")
except (TypeError, ValueError):
pass
content = hermes_tool_content(
"calculator", {"expression": str(expr), "result": result}
)
return "calculator", {"expression": str(expr)}, content
def _to_vault(
kind: str, args: dict, payload: Any
) -> tuple[str, dict, dict] | None:
p = _as_dict(payload)
if p is None:
return None
if kind == "vault_read":
path = (args or {}).get("path") or p.get("path") or "notes/note.md"
content = hermes_tool_content(
"vault_read",
{
"path": str(path),
"content": p.get("content") if "content" in p else json.dumps(p)[:800],
"bytes": int(p.get("bytes") or p.get("total_lines") or len(str(p.get("content") or ""))),
},
)
return "vault_read", {"path": str(path)}, content
if kind == "vault_write":
path = (args or {}).get("path") or p.get("path") or "notes/note.md"
body = (args or {}).get("content") or ""
content = hermes_tool_content(
"vault_write",
{
"ok": True,
"path": str(path),
"bytes": int(p.get("bytes") or p.get("bytes_written") or len(body)),
},
)
nargs = {"path": str(path), "content": str(body or f"note at {path}")}
if "append" in (args or {}):
nargs["append"] = bool(args["append"])
return "vault_write", nargs, content
# vault_search
q = (args or {}).get("query") or p.get("query") or "notes"
hits = p.get("hits") if isinstance(p.get("hits"), list) else []
if not hits and isinstance(p.get("results"), list):
hits = [
{
"path": (h.get("path") if isinstance(h, dict) else "notes/x.md"),
"score": (h.get("score") if isinstance(h, dict) else 0.5),
"excerpt": (
h.get("excerpt")
or h.get("snippet")
or h.get("title")
or str(h)
)
if isinstance(h, dict)
else str(h),
}
for h in p["results"][:5]
]
content = hermes_tool_content(
"vault_search", {"hits": hits, "query": str(q)}
)
return "vault_search", {"query": str(q)}, content
def classify_harness_tool(name: str) -> str | None:
n = (name or "").strip()
if n in HARNESS_NAMES:
return n
if _VAULT_READ_RE.search(n):
return "vault_read"
if _VAULT_WRITE_RE.search(n):
return "vault_write"
if _VAULT_SEARCH_RE.search(n):
return "vault_search"
if _CALC_RE.search(n):
return "calculator"
if _SEARCH_RE.search(n):
return "web_search"
return None
def normalize_to_harness(
*,
name: str,
args: dict | None,
payload: Any,
human: str = "",
gold: str = "",
) -> dict | None:
"""Return {name, args, payload, gold} in HARNESS Hermes shapes, or None to drop."""
args = dict(args or {})
target = classify_harness_tool(name)
if not target:
return None
if target == "web_search":
mapped = _to_web_search(name, args, payload, human)
elif target == "calculator":
mapped = _to_calculator(args, payload, human)
elif target in ("vault_read", "vault_write", "vault_search"):
mapped = _to_vault(target, args, payload)
else:
return None
if mapped is None:
return None
nname, nargs, npayload = mapped
# already-canonical harness name: still force hermes_tool_content
npayload = hermes_tool_content(nname, npayload)
g = (gold or "").strip()
if not g:
return None
return {"name": nname, "args": nargs, "payload": npayload, "gold": g}
def self_check():
from hermes_agent_eval import hermes_tool_content as htc
m = normalize_to_harness(
name="search_news",
args={"keywords": ["technology"], "category": "technology"},
payload={
"articles": [
{"title": "Tech Giants", "url": "www.technews.com/a"},
{"title": "AI News", "url": "www.technews.com/b"},
]
},
human="latest tech news",
gold="Here are tech articles.",
)
assert m is not None
assert m["name"] == "web_search"
assert m["args"]["query"] == "technology"
assert m["payload"]["success"] is True
assert len(m["payload"]["data"]["web"]) == 2
assert m["payload"]["data"]["web"][0]["url"].startswith("https://")
m2 = normalize_to_harness(
name="get_stock_price",
args={"company": "Apple"},
payload={"stock_price": "$150.75"},
human="Apple price?",
gold="Apple is $150.75.",
)
assert m2 and m2["name"] == "web_search"
assert "150.75" in m2["payload"]["data"]["web"][0]["description"]
m3 = normalize_to_harness(
name="calculator",
args={"expression": "2+2"},
payload={"expression": "2+2", "result": 4},
human="2+2?",
gold="4",
)
assert m3 and m3["name"] == "calculator"
assert m3["payload"] == htc("calculator", {"expression": "2+2", "result": 4})
assert (
normalize_to_harness(
name="send_email",
args={},
payload={"ok": True},
human="mail",
gold="sent",
)
is None
)
print("harness_normalize self_check ok")
if __name__ == "__main__":
self_check()
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