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5.92 kB
| """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"] | |
| class Call: | |
| tool: str | |
| args: dict | |
| response: Any = None | |
| 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) | |