File size: 5,920 Bytes
5755408 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 | """Shared helpers for the ToolFault-Bench generator."""
from __future__ import annotations
import json
import random
from dataclasses import dataclass, field
from datetime import datetime, timedelta, timezone
from typing import Any
UTC = timezone.utc
FIRST = [
"Aisha", "Mateo", "Priya", "Jonah", "Mei", "Oluwaseun", "Camila", "Tomasz", "Hana", "Diego",
"Fatima", "Liam", "Ngozi", "Kenji", "Sofia", "Arjun", "Elena", "Kwame", "Ingrid", "Rafael",
"Yara", "Declan", "Leila", "Marcus", "Anika", "Joaquin", "Thandiwe", "Sebastian", "Noor", "Viktor",
"Chiara", "Emeka", "Rosa", "Hamid", "Greta", "Tariq", "Lucia", "Dmitri", "Amara", "Owen",
]
LAST = [
"Okafor", "Lindqvist", "Ramanathan", "Castillo", "Whitfield", "Nakamura", "Haddad", "Kowalski",
"Mensah", "Delacroix", "Fitzgerald", "Balogun", "Serrano", "Novak", "Achterberg", "Iyer",
"Moreau", "Petrov", "Adeyemi", "Galloway", "Takahashi", "Brennan", "Vasquez", "Osei",
"Holmberg", "Rahman", "Ferreira", "Kaminski", "Abernathy", "Quintero", "Sato", "Lindgren",
]
CO_A = [
"Northwind", "Bluegate", "Cedarline", "Ironbark", "Pinecrest", "Silverleaf", "Harborview",
"Redstone", "Kestrel", "Brightwater", "Summit", "Larchmont", "Copperfield", "Driftwood",
"Meridian", "Halcyon", "Obsidian", "Juniper", "Wexford", "Tallgrass",
]
CO_B = [
"Plumbing & Heating", "Office Supply", "Freight LLC", "Janitorial Services", "Electrical Contractors",
"Staffing Group", "Packaging Co.", "IT Services", "Landscaping", "Industrial Supply",
"Print & Mail", "Catering", "Security Systems", "Logistics Inc.", "Analytics LLC",
]
MONTHS = ["January", "February", "March", "April", "May", "June", "July", "August",
"September", "October", "November", "December"]
@dataclass
class Call:
tool: str
args: dict
response: Any = None
@dataclass
class Ctx:
rng: random.Random
now: datetime
org: str = ""
user: str = ""
extra: dict = field(default_factory=dict)
# ---------- time ----------
def iso(dt: datetime) -> str:
return dt.astimezone(UTC).strftime("%Y-%m-%dT%H:%M:%SZ")
def ymd(dt: datetime) -> str:
return dt.strftime("%Y-%m-%d")
def human_date(dt: datetime) -> str:
return f"{MONTHS[dt.month - 1]} {dt.day}, {dt.year}"
def month_name(dt: datetime) -> str:
return f"{MONTHS[dt.month - 1]} {dt.year}"
def prev_month_range(now: datetime) -> tuple[datetime, datetime]:
first_this = now.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
last_prev = first_this - timedelta(days=1)
first_prev = last_prev.replace(day=1)
return first_prev, last_prev
def next_business_day(dt: datetime) -> datetime:
d = dt + timedelta(days=1)
while d.weekday() >= 5:
d += timedelta(days=1)
return d
def sample_now(rng: random.Random, weekend: bool = False) -> datetime:
"""A timestamp in 2026 during US business hours (weekday) or on a Saturday."""
start = datetime(2026, 3, 2, tzinfo=UTC)
while True:
d = start + timedelta(days=rng.randint(0, 200))
if weekend and d.weekday() == 5:
break
if not weekend and d.weekday() < 5:
break
return d.replace(hour=rng.randint(14, 20), minute=rng.randint(0, 59), second=rng.randint(0, 59))
# ---------- values ----------
def money(rng: random.Random, lo: float, hi: float) -> float:
return round(rng.uniform(lo, hi), 2)
def usd(x: float) -> str:
return f"${x:,.2f}"
def rid(rng: random.Random, prefix: str, digits: int = 5) -> str:
first = str(rng.randint(1, 9))
rest = "".join(str(rng.randint(0, 9)) for _ in range(digits - 1))
return prefix + first + rest
def token(rng: random.Random, n: int = 16) -> str:
alphabet = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
return "".join(rng.choice(alphabet) for _ in range(n))
def person(rng: random.Random) -> str:
return f"{rng.choice(FIRST)} {rng.choice(LAST)}"
def company(rng: random.Random) -> str:
return f"{rng.choice(CO_A)} {rng.choice(CO_B)}"
def transpose_digits(ident: str, rng: random.Random) -> str:
"""Swap two adjacent, different digits in the numeric part of an ID."""
chars = list(ident)
idx = [i for i in range(len(chars) - 1)
if chars[i].isdigit() and chars[i + 1].isdigit() and chars[i] != chars[i + 1]]
i = rng.choice(idx)
chars[i], chars[i + 1] = chars[i + 1], chars[i]
out = "".join(chars)
assert out != ident
return out
def misspell(name: str, rng: random.Random) -> str:
"""Drop or swap one interior letter of a word with >= 5 letters (stays recognisable)."""
words = name.split()
cand = [i for i, w in enumerate(words) if len(w) >= 5 and w.isalpha()]
i = rng.choice(cand)
w = words[i]
j = rng.randint(1, len(w) - 3)
if rng.random() < 0.5 or w[j] == w[j + 1]:
w2 = w[:j] + w[j + 1:]
else:
w2 = w[:j] + w[j + 1] + w[j] + w[j + 2:]
words[i] = w2
out = " ".join(words)
assert out != name
return out
# ---------- tool specs (OpenAI function format) ----------
def S(desc: str, enum: list[str] | None = None) -> dict:
d = {"type": "string", "description": desc}
if enum:
d["enum"] = enum
return d
def N(desc: str) -> dict:
return {"type": "number", "description": desc}
def I(desc: str) -> dict:
return {"type": "integer", "description": desc}
def B(desc: str) -> dict:
return {"type": "boolean", "description": desc}
def tool(name: str, desc: str, props: dict, required: list[str] | tuple = ()) -> dict:
return {
"type": "function",
"function": {
"name": name,
"description": desc,
"parameters": {"type": "object", "properties": props, "required": list(required)},
},
}
def dumps(obj: Any) -> str:
return obj if isinstance(obj, str) else json.dumps(obj, ensure_ascii=False)
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