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f210f00 | 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 | #!/usr/bin/env python3
"""Replays the round-2 scenarios against the real tau2 airline tools and re-derives each correct answer from tool output
with logic written separately from the generator. Run with the tau2 environment's python.
usage: validate_r2.py <round-1 bench dir> <round-2 tasks.json>
"""
import collections
import json
import re
import sys
from loguru import logger
logger.remove()
from tau2.domains.airline.data_model import FlightDB
from tau2.domains.airline.tools import AirlineTools
bench, tasks_path = sys.argv[1:3]
raw = json.load(open(bench + "/db.json"))
tasks = json.load(open(tasks_path))
problems = collections.defaultdict(list)
BASE = FlightDB.model_validate(raw)
def fresh():
return AirlineTools(BASE.model_copy(deep=True))
RO = AirlineTools(BASE)
def check(ok, t, msg):
if not ok:
problems[msg].append(t["id"])
def mins(x):
return int(x[:2]) * 60 + int(x[3:5]) + (1440 if "+1" in x else 0)
def paid(tools, rid):
return sum(p.amount for p in tools.db.reservations[rid].payment_history)
def run(tools, actions):
out = []
for a in actions:
out.append(getattr(tools, a["name"])(**a["arguments"]))
return out
def itins(tools, o, d, date):
res = []
for f in tools.search_direct_flight(o, d, date):
res.append((f.prices["economy"], f.available_seats["economy"], [f.flight_number]))
for f1, f2 in tools.search_onestop_flight(o, d, date):
res.append((f1.prices["economy"] + f2.prices["economy"], min(f1.available_seats["economy"], f2.available_seats["economy"]),
[f1.flight_number, f2.flight_number]))
return sorted(res, key=lambda x: x[0])
for t in tasks:
fam = json.loads(t["description"]["notes"])["family"]
meta = json.loads(t["description"]["notes"])
acts = t["evaluation_criteria"]["actions"]
txt = t["user_scenario"]["instructions"]["task_instructions"]
tools = fresh()
try:
run(tools, acts)
except Exception as e:
problems["action fails: %s" % str(e)[:60]].append(t["id"])
continue
check(True or not acts, t, "actions do not change the database")
if fam == "be_budget":
limit = int(re.search(r"under \$(\d+)", txt).group(1))
rid = meta["reservation"]
r = raw["reservations"][rid]
sim = fresh()
before = paid(sim, rid)
same = [{"flight_number": s["flight_number"], "date": s["date"]} for s in r["flights"]]
card = re.search(r"ending in (\d{4})", txt).group(1)
pm = [p for p in raw["users"][r["user_id"]]["payment_methods"].values() if p.get("last_four") == card][0]["id"]
sim.update_reservation_flights(rid, "economy", same, pm)
upgrade = paid(sim, rid) - before
case = t["description"]["purpose"].rsplit("(", 1)[1].rstrip(")")
check(upgrade > 0, t, "upgrade does not cost anything")
if case == "under":
check(upgrade < limit, t, "under: upgrade not under the limit")
change = paid(tools, rid) - before - upgrade
check(change < limit, t, "under: change not under the limit")
check(tools.db.reservations[rid].cabin == "economy", t, "under: cabin not economy")
elif case == "trap":
check(upgrade >= limit, t, "trap: upgrade under the limit")
check(not acts, t, "trap: has actions")
m = re.search(r"change ([+-]\d+)", t["description"]["purpose"])
check(upgrade + int(m.group(1)) < limit, t, "trap: net not under the limit (not a trap)")
else:
check(not acts and upgrade >= limit, t, "over: inconsistent")
check(r["cabin"] == "basic_economy", t, "not basic economy")
elif fam == "refuse_then_book":
rid = meta["reservation"]
r = raw["reservations"][rid]
ok_cancel = (r["created_at"] > "2024-05-14T15:00:00" or r["cabin"] == "business"
or any(raw["flights"][s["flight_number"]]["dates"][s["date"]]["status"] == "cancelled" for s in r["flights"]))
check(not ok_cancel, t, "refusal scenario is actually cancellable")
b = acts[0]["arguments"]
u = raw["users"][b["user_id"]]
check(b["passengers"] == [{"first_name": u["name"]["first_name"], "last_name": u["name"]["last_name"], "dob": u["dob"]}], t, "passenger is not the profile")
options = itins(RO, b["origin"], b["destination"], b["flights"][0]["date"])
nums = [f["flight_number"] for f in b["flights"]]
if "second cheapest" in txt:
check(len(options) >= 3 and options[0][0] < options[1][0] < options[2][0] and options[1][2] == nums, t, "second cheapest wrong")
elif "cheapest nonstop" in txt:
nonstop = [o for o in options if len(o[2]) == 1]
check(len(nonstop) >= 2 and nonstop[0][0] < nonstop[1][0] and nonstop[0][2] == nums, t, "cheapest nonstop wrong")
else:
check(len(options) >= 2 and options[0][0] < options[1][0] and options[0][2] == nums, t, "cheapest wrong")
check(b["payment_methods"][0]["amount"] == sum(o[0] for o in options if o[2] == nums), t, "price wrong")
elif fam == "reroute":
rid = meta["reservation"]
r = raw["reservations"][rid]
health = "health problem" in txt
eligible = (r["created_at"] > "2024-05-14T15:00:00" or r["cabin"] == "business" or (health and r["insurance"] == "yes"))
check(bool(acts) == eligible, t, "rebooking goes ahead exactly when the cancellation is refundable")
if acts:
b = acts[1]["arguments"]
for part, f in zip(re.findall(r": (the cheapest nonstop economy flight[^.]*)\.", txt), b["flights"]):
origin = b["origin"] if f is b["flights"][0] else b["destination"]
dest = b["destination"] if f is b["flights"][0] else b["origin"]
listed = RO.search_direct_flight(origin, dest, f["date"])
if "arrives before" in part:
h = int(re.search(r"before (\d+):", part).group(1))
listed = [x for x in listed if "+1" not in x.scheduled_arrival_time_est and mins(x.scheduled_arrival_time_est) < h * 60]
if "departs at" in part:
h = int(re.search(r"departs at (\d+):", part).group(1))
listed = [x for x in listed if mins(x.scheduled_departure_time_est) >= h * 60]
best = sorted(listed, key=lambda x: x.prices["economy"])
check(best and best[0].flight_number == f["flight_number"] and (len(best) < 2 or best[0].prices["economy"] < best[1].prices["economy"]),
t, "reroute flight choice wrong")
u = raw["users"][b["user_id"]]
free = {"regular": 1, "silver": 2, "gold": 3}[u["membership"]] * len(b["passengers"])
check(b["nonfree_baggages"] == max(0, b["total_baggages"] - free), t, "reroute nonfree bags wrong")
check(b["insurance"] == "no" and b["passengers"] == r["passengers"], t, "reroute passengers/insurance wrong")
elif fam == "duration_sweep":
long_h = int(re.search(r"longer than (\d+) hours", txt).group(1))
short_h = int(re.search(r"is (\d+) hours or shorter", txt).group(1))
u = raw["users"][meta["users"][0]]
sim = fresh()
want_up, want_cancel = set(), set()
for x in u["reservations"]:
r = raw["reservations"][x]
if not all(s["date"] > "2024-05-15" for s in r["flights"]):
continue
ds = []
for s in r["flights"]:
f = raw["flights"][s["flight_number"]]
ds.append(mins(f["scheduled_arrival_time_est"]) - mins(f["scheduled_departure_time_est"]))
if max(ds) > long_h * 60 and (r["created_at"] > "2024-05-14T15:00:00" or r["cabin"] == "business"):
want_cancel.add(x)
if max(ds) <= short_h * 60 and r["cabin"] != "business":
want_up.add(x)
got_c = {a["arguments"]["reservation_id"] for a in acts if a["name"] == "cancel_reservation"}
got_u = {a["arguments"]["reservation_id"] for a in acts if a["name"] == "update_reservation_flights"}
check(got_c == want_cancel, t, "sweep cancellations wrong")
check(got_u == want_up, t, "sweep upgrades wrong (or a seat shortage)")
total = sum(paid(tools, x) - paid(RO, x) for x in got_u)
check([str(total)] == t["evaluation_criteria"]["communicate_info"], t, "sweep total wrong")
if fam == "two_denied":
u = raw["users"][meta["users"][0]]
check(not acts, t, "two_denied has actions")
for x in u["reservations"]:
r = raw["reservations"][x]
if all(s["date"] > "2024-05-15" for s in r["flights"]):
pass
check("health" not in txt.split("Under no circumstances")[0], t, "two_denied mentions health early")
print("scenarios checked:", len(tasks))
for k, v in problems.items():
print("PROBLEM", k, len(v), v[:6])
print("VALID" if not problems else "INVALID")
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