async def on_recognize(
self,
turn_context: TurnContext,
state: Dict[str, object],
options: PromptOptions,
) -> PromptRecognizerResult:
if not turn_context:
raise TypeError(
"DateTimePrompt.on_recognize(): turn_context cannot be None.")
result = PromptRecognizerResult()
if turn_context.activity.type == ActivityTypes.message:
# Recognize utterance
message = turn_context.activity
# TODO: English constant needs to be ported.
culture = message.locale if message.locale is not None else "English"
results = recognize_datetime(message.text, culture)
if results:
result.succeeded = True
result.value = []
values = results[0].resolution["values"]
for value in values:
result.value.append(self.read_resolution(value))
return result
def date_ambiguity():
# Run the recognizer.
results = recognize_datetime("Either Saturday or Sunday would work.",
Culture.English)
# We should find two results in this example.
for result in results:
# The resolution includes two example values: going backwards and forwards from NOW in the calendar.
# Each result includes a TIMEX expression that captures the inherent date but not time ambiguity.
# We are interested in the distinct set of TIMEX expressions.
# There is also either a "value" property on each value or "start" and "end".
distinct_timex_expressions = {
value["timex"]
for value in result.resolution["values"] if "timex" in value
}
print(f"{result.text} ({','.join(distinct_timex_expressions)})")
def time_range():
# Run the recognizer.
results = recognize_datetime("Some time between 6pm and 6:30pm.",
Culture.English)
# We should find a single result in this example.
for result in results:
# The resolution includes a single value because there is no ambiguity.
# We are interested in the distinct set of TIMEX expressions.
distinct_timex_expressions = {
value["timex"]
for value in result.resolution["values"] if "timex" in value
}
# The TIMEX expression can also capture the notion of range.
print(f"{result.text} ({','.join(distinct_timex_expressions)})")
async def date_prompt_validator(
prompt_context: PromptValidatorContext) -> bool:
is_valid = False
results = recognize_datetime(prompt_context.recognized.value,
Culture.English)
for result in results:
for resolution in result.resolution["values"]:
if "value" in resolution:
value = resolution["value"]
if resolution["type"] == "date":
candidate = datetime.strptime(value, "%Y-%m-%d")
is_valid = True
ret = prompt_context.recognized.succeeded and is_valid
return ret
def date_time_ambiguity():
# Run the recognizer.
results = recognize_datetime(
"It will be ready Wednesday at 5 o'clock.", Culture.English)
# We should find a single result in this example.
for result in results:
# The resolution includes four example values: backwards and forward in the calendar and then AM and PM.
# Each result includes a TIMEX expression that captures the inherent date but not time ambiguity.
# We are interested in the distinct set of TIMEX expressions.
distinct_timex_expressions = {
value["timex"]
for value in result.resolution["values"] if "timex" in value
}
# TIMEX expressions don't capture time ambiguity so there will be two distinct expressions for each result.
print(f"{result.text} ({','.join(distinct_timex_expressions)})")
def time_ambiguity():
# Run the recognizer.
results = recognize_datetime(
"We would like to arrive at 4 o'clock or 5 o'clock.",
Culture.English)
# We should find two results in this example.
for result in results:
# The resolution includes two example values: one for AM and one for PM.
# Each result includes a TIMEX expression that captures the inherent date but not time ambiguity.
# We are interested in the distinct set of TIMEX expressions.
distinct_timex_expressions = {
value["timex"]
for value in result.resolution["values"] if "timex" in value
}
# TIMEX expressions don't capture time ambiguity so there will be two distinct expressions for each result.
print(f"{result.text} ({','.join(distinct_timex_expressions)})")
def _validate_date(self, user_input: str) -> ValidationResult:
try:
# Try to recognize the input as a date-time. This works for responses such as "11/14/2018", "9pm",
# "tomorrow", "Sunday at 5pm", and so on. The recognizer returns a list of potential recognition results,
# if any.
results = recognize_datetime(user_input, Culture.English)
for result in results:
for resolution in result.resolution["values"]:
if "value" in resolution:
now = datetime.now()
value = resolution["value"]
if resolution["type"] == "date":
candidate = datetime.strptime(value, "%Y-%m-%d")
elif resolution["type"] == "time":
candidate = datetime.strptime(value, "%H:%M:%S")
candidate = candidate.replace(year=now.year,
month=now.month,
day=now.day)
else:
candidate = datetime.strptime(
value, "%Y-%m-%d %H:%M:%S")
# user response must be more than an hour out
diff = candidate - now
if diff.total_seconds() >= 3600:
return ValidationResult(
is_valid=True,
value=candidate.strftime("%m/%d/%y at %H:%M"),
)
return ValidationResult(
is_valid=False,
message="I'm sorry, please enter a valid date.",
)
except ValueError:
return ValidationResult(
is_valid=False,
message=
"I'm sorry, I could not interpret that as an appropriate "
"date. Please enter a date at least an hour out.",
)
