def query_nearest_stop(query, session, result):
""" A query for the stop closest to the user """
# Retrieve the client location
location = query.location
if location is None:
# No location provided in the query
answer = "Staðsetning óþekkt"
response = dict(answer=answer)
voice_answer = "Ég veit ekki hvar þú ert."
return response, answer, voice_answer
# Get the stop closest to the user
stop = straeto.BusStop.closest_to(location)
answer = stop.name
# Use the same word for the bus stop as in the query
stop_word = result.stop_word if "stop_word" in result else "stoppistöð"
va = [
"Næsta",
stop_word,
"er", stop.name + ";",
"þangað", "eru",
voice_distance(straeto.distance(location, stop.location)),
]
# Store a location coordinate and a bus stop name in the context
query.set_context({"location": stop.location, "bus_stop": stop.name})
voice_answer = " ".join(va) + "."
response = dict(answer=answer)
return response, answer, voice_answer
def query_which_route(query, session, result):
""" Which routes stop at a given bus stop """
stop_name = result.stop_name # 'Einarsnes', 'Fiskislóð'...
if stop_name in {"þar", "þangað"}:
# Referring to a bus stop mentioned earlier
ctx = query.fetch_context()
if ctx and "bus_stop" in ctx:
stop_name = ctx["bus_stop"]
result.qkey = stop_name
else:
answer = voice_answer = "Ég veit ekki við hvaða stað þú átt."
response = dict(answer=answer)
return response, answer, voice_answer
bus_noun = result.bus_noun # 'strætó', 'vagn', 'leið'...
stops = straeto.BusStop.named(stop_name, fuzzy=True)
if not stops:
a = [stop_name, "þekkist ekki."]
va = [
"Ég", "þekki", "ekki", "biðstöðina", stop_name.capitalize(),
]
else:
routes = set()
if query.location:
straeto.BusStop.sort_by_proximity(stops, query.location)
stop = stops[0]
for route_id in stop.visits.keys():
number = straeto.BusRoute.lookup(route_id).number
routes.add(number)
va = [bus_noun, "númer"]
a = va[:]
nroutes = len(routes)
cnt = 0
for rn in sorted(routes, key=lambda t: int(t)):
if cnt:
sep = "og" if cnt + 1 == nroutes else ","
va.append(sep)
a.append(sep)
# We convert inflectable numbers to their text equivalents
# since the speech engine can't be relied upon to get the
# inflection of numbers right
va.append(numbers_to_neutral(rn))
a.append(rn)
cnt += 1
tail = ["stoppar á", to_dative(stop.name)]
va.extend(tail)
a.extend(tail)
# Store a location coordinate and a bus stop name in the context
query.set_context({"location": stop.location, "bus_stop": stop.name})
voice_answer = correct_spaces(" ".join(va) + ".")
answer = correct_spaces(" ".join(a))
answer = answer[0].upper() + answer[1:]
response = dict(answer=answer)
return response, answer, voice_answer
def query_nearest_stop(query: Query, session: Session,
result: Result) -> AnswerTuple:
""" A query for the stop closest to the user """
# Retrieve the client location
location = query.location
if location is None:
# No location provided in the query
answer = "Staðsetning óþekkt"
response = dict(answer=answer)
voice_answer = "Ég veit ekki hvar þú ert."
return response, answer, voice_answer
if not in_iceland(location):
# User's location is not in Iceland
return gen_answer("Ég þekki ekki strætósamgöngur utan Íslands.")
# Get the stop closest to the user
stop = straeto.BusStop.closest_to(location)
if stop is None:
return gen_answer("Ég finn enga stoppistöð nálægt þér.")
answer = stop.name
# Use the same word for the bus stop as in the query
stop_word = result.stop_word if "stop_word" in result else "stoppistöð"
va = [
"Næsta",
stop_word,
"er",
stop.name + ";",
"þangað",
"eru",
voice_distance(straeto.distance(location, stop.location)),
]
# Store a location coordinate and a bus stop name in the context
query.set_context({"location": stop.location, "bus_stop": stop.name})
voice_answer = " ".join(va) + "."
response = dict(answer=answer)
return response, answer, voice_answer
def query_arrival_time(query: Query, session: Session, result: Result):
""" Answers a query for the arrival time of a bus """
# Examples:
# 'Hvenær kemur strætó númer 12?'
# 'Hvenær kemur leið sautján á Hlemm?'
# 'Hvenær kemur næsti strætó í Einarsnes?'
# Retrieve the client location, if available, and the name
# of the bus stop, if given
stop_name: Optional[str] = result.get("stop_name")
stop: Optional[straeto.BusStop] = None
location: Optional[Tuple[float, float]] = None
if stop_name in {"þar", "þangað"}:
# Referring to a bus stop mentioned earlier
ctx = query.fetch_context()
if ctx and "bus_stop" in ctx:
stop_name = cast(str, ctx["bus_stop"])
else:
answer = voice_answer = "Ég veit ekki við hvaða stað þú átt."
response = dict(answer=answer)
return response, answer, voice_answer
if not stop_name:
location = query.location
if location is None:
answer = "Staðsetning óþekkt"
response = dict(answer=answer)
voice_answer = "Ég veit ekki hvar þú ert."
return response, answer, voice_answer
# Obtain today's bus schedule
global SCHEDULE_TODAY
with SCHEDULE_LOCK:
if SCHEDULE_TODAY is None or not SCHEDULE_TODAY.is_valid_today:
# We don't have today's schedule: create it
SCHEDULE_TODAY = straeto.BusSchedule()
# Obtain the set of stops that the user may be referring to
stops: List[straeto.BusStop] = []
if stop_name:
stops = straeto.BusStop.named(stop_name, fuzzy=True)
if query.location is not None:
# If we know the location of the client, sort the
# list of potential stops by proximity to the client
straeto.BusStop.sort_by_proximity(stops, query.location)
else:
# Obtain the closest stops (at least within 400 meters radius)
assert location is not None
stops = cast(
List[straeto.BusStop],
straeto.BusStop.closest_to_list(location, n=2, within_radius=0.4),
)
if not stops:
# This will fetch the single closest stop, regardless of distance
stops = [
cast(straeto.BusStop, straeto.BusStop.closest_to(location))
]
# Handle the case where no bus number was specified (i.e. is 'Any')
if result.bus_number == "Any" and stops:
stop = stops[0]
routes = sorted(
(straeto.BusRoute.lookup(rid).number
for rid in stop.visits.keys()),
key=lambda r: int(r),
)
if len(routes) != 1:
# More than one route possible: ask user to clarify
route_seq = natlang_seq(list(map(str, routes)))
answer = (" ".join(
["Leiðir", route_seq, "stoppa á",
to_dative(stop.name)]) + ". Spurðu um eina þeirra.")
voice_answer = (" ".join([
"Leiðir",
numbers_to_neutral(route_seq),
"stoppa á",
to_dative(stop.name),
]) + ". Spurðu um eina þeirra.")
response = dict(answer=answer)
return response, answer, voice_answer
# Only one route: use it as the query subject
bus_number = routes[0]
bus_name = "strætó númer {0}".format(bus_number)
else:
bus_number = result.bus_number if "bus_number" in result else 0
bus_name = result.bus_name if "bus_name" in result else "Óþekkt"
# Prepare results
bus_name = cap_first(bus_name)
va = [bus_name]
a = []
arrivals = []
arrivals_dict = {}
arrives = False
route_number = str(bus_number)
# First, check the closest stop
# !!! TODO: Prepare a different area_priority parameter depending
# !!! on the user's location; i.e. if she is in Eastern Iceland,
# !!! route '1' would mean 'AL.1' instead of 'ST.1'.
if stops:
for stop in stops:
arrivals_dict, arrives = SCHEDULE_TODAY.arrivals(
route_number, stop)
if arrives:
break
arrivals = list(arrivals_dict.items())
a = ["Á", to_accusative(stop.name), "í átt að"]
if arrivals:
# Get a predicted arrival time for each direction from the
# real-time bus location server
prediction = SCHEDULE_TODAY.predicted_arrival(route_number, stop)
now = datetime.utcnow()
hms_now = (now.hour, now.minute + (now.second // 30), 0)
first = True
# We may get three (or more) arrivals if there are more than two
# endpoints for the bus route in the schedule. To minimize
# confusion, we only include the two endpoints that have the
# earliest arrival times and skip any additional ones.
arrivals = sorted(arrivals, key=lambda t: t[1][0])[:2]
for direction, times in arrivals:
if not first:
va.append(", og")
a.append(". Í átt að")
va.extend(["í átt að", to_dative(direction)])
a.append(to_dative(direction))
deviation = []
if prediction and direction in prediction:
# We have a predicted arrival time
hms_sched = times[0]
hms_pred = prediction[direction][0]
# Calculate the difference between the prediction and
# now, and skip it if it is 1 minute or less
diff = hms_diff(hms_pred, hms_now)
if abs(diff) <= 1:
deviation = [", en er að fara núna"]
else:
# Calculate the difference in minutes between the
# schedule and the prediction, with a positive number
# indicating a delay
diff = hms_diff(hms_pred, hms_sched)
if diff < -1:
# More than one minute ahead of schedule
if diff < -5:
# More than 5 minutes ahead
deviation = [
", en kemur sennilega fyrr, eða",
hms_fmt(hms_pred),
]
else:
# Two to five minutes ahead
deviation = [
", en er",
str(-diff),
"mínútum á undan áætlun",
]
elif diff >= 3:
# 3 minutes or more behind schedule
deviation = [
", en kemur sennilega ekki fyrr en",
hms_fmt(hms_pred),
]
if first:
assert stop is not None
if deviation:
va.extend(["á að koma á", to_accusative(stop.name)])
else:
va.extend(["kemur á", to_accusative(stop.name)])
va.append("klukkan")
a.append("klukkan")
if len(times) == 1 or (len(times) > 1
and hms_diff(times[0], hms_now) >= 10):
# Either we have only one arrival time, or the next arrival is
# at least 10 minutes away: only pronounce one time
hms = times[0]
time_text = hms_fmt(hms)
else:
# Return two or more times
time_text = " og ".join(hms_fmt(hms) for hms in times)
va.append(time_text)
a.append(time_text)
va.extend(deviation)
a.extend(deviation)
first = False
elif arrives:
# The given bus has already completed its scheduled halts at this stop today
assert stops
stop = stops[0]
reply = ["kemur ekki aftur á", to_accusative(stop.name), "í dag"]
va.extend(reply)
a = [bus_name] + reply
elif stops:
# The given bus doesn't stop at all at either of the two closest stops
stop = stops[0]
va.extend(["stoppar ekki á", to_dative(stop.name)])
a = [bus_name, "stoppar ekki á", to_dative(stop.name)]
else:
# The bus stop name is not recognized
va = a = [stop_name.capitalize(), "er ekki biðstöð"]
if stop is not None:
# Store a location coordinate and a bus stop name in the context
query.set_context({"location": stop.location, "bus_stop": stop.name})
# Hack: Since we know that the query string contains no uppercase words,
# adjust it accordingly; otherwise it may erroneously contain capitalized
# words such as Vagn and Leið.
bq = query.beautified_query
for t in (
("Vagn ", "vagn "),
("Vagni ", "vagni "),
("Vagns ", "vagns "),
("Leið ", "leið "),
("Leiðar ", "leiðar "),
):
bq = bq.replace(*t)
query.set_beautified_query(bq)
def assemble(x):
""" Intelligently join answer string components. """
return (" ".join(x) + ".").replace(" .", ".").replace(" ,", ",")
voice_answer = assemble(va)
answer = assemble(a)
response = dict(answer=answer)
return response, answer, voice_answer
