def _form_plate_lookup_response_parts(
self,
borough_data: List[Tuple[str, int]],
frequency: int,
fine_data: FineData,
plate: str,
plate_types: List[str],
state: str,
unique_identifier: str,
username: str,
violations: List[Tuple[str, int]],
year_data: List[Tuple[str, int]],
camera_streak_data: Optional[CameraStreakData] = None,
previous_lookup: Optional[PlateLookup] = None):
# response_chunks holds tweet-length-sized parts of the response
# to be tweeted out or appended into a single direct message.
response_chunks: List[str] = []
violations_string: str = ""
# Get total violations
total_violations: int = sum([s['count'] for s in violations])
LOG.debug(f'total_violations: {total_violations}')
# Append to initially blank string to build tweet.
violations_string += L10N.LOOKUP_SUMMARY_STRING.format(
L10N.VEHICLE_HASHTAG.format(state, plate),
L10N.get_plate_types_string(plate_types), frequency,
L10N.pluralize(int(frequency)))
# If this vehicle has been queried before...
if previous_lookup:
previous_num_violations: int = previous_lookup.num_tickets
violations_string += self._create_repeat_lookup_string(
new_violations=(total_violations - previous_num_violations),
plate=plate,
previous_lookup=previous_lookup,
state=state,
username=username)
response_chunks += self._handle_response_part_formation(
collection=violations,
continued_format_string=L10N.LOOKUP_TICKETS_STRING_CONTD.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
count='count',
cur_string=violations_string,
description='title',
default_description='No Year Available',
prefix_format_string=L10N.LOOKUP_TICKETS_STRING.format(
total_violations),
result_format_string=L10N.LOOKUP_RESULTS_DETAIL_STRING,
username=username)
if year_data:
response_chunks += self._handle_response_part_formation(
collection=year_data,
continued_format_string=L10N.LOOKUP_YEAR_STRING_CONTD.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
count='count',
description='title',
default_description='No Year Available',
prefix_format_string=L10N.LOOKUP_YEAR_STRING.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
result_format_string=L10N.LOOKUP_RESULTS_DETAIL_STRING,
username=username)
if borough_data:
response_chunks += self._handle_response_part_formation(
collection=borough_data,
continued_format_string=L10N.LOOKUP_BOROUGH_STRING_CONTD.
format(L10N.VEHICLE_HASHTAG.format(state, plate)),
count='count',
description='title',
default_description='No Borough Available',
prefix_format_string=L10N.LOOKUP_BOROUGH_STRING.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
result_format_string=L10N.LOOKUP_RESULTS_DETAIL_STRING,
username=username)
if fine_data and fine_data.fines_assessed():
cur_string = f"Known fines for {L10N.VEHICLE_HASHTAG.format(state, plate)}:\n\n"
max_count_length = len('${:,.2f}'.format(fine_data.max_amount()))
spaces_needed = (max_count_length * 2) + 1
for fine_type, amount in fine_data:
currency_string = '${:,.2f}'.format(amount)
count_length = len(str(currency_string))
# e.g., if spaces_needed is 5, and count_length is 2, we need
# to pad to 3.
left_justify_amount = spaces_needed - count_length
# formulate next string part
next_part = (f"{currency_string.ljust(left_justify_amount)}| "
f"{fine_type.replace('_', ' ').title()}\n")
# determine current string length if necessary
potential_response_length = len(username + ' ' + cur_string +
next_part)
# If username, space, violation string so far and new part are less or
# equal than 280 characters, append to existing tweet string.
if (potential_response_length <=
twitter_constants.MAX_TWITTER_STATUS_LENGTH):
cur_string += next_part
else:
response_chunks.append(cur_string)
cur_string = "Known fines for #{}_{}, cont'd:\n\n"
cur_string += next_part
# add to container
response_chunks.append(cur_string)
if camera_streak_data:
if camera_streak_data.max_streak and camera_streak_data.max_streak >= 5:
# formulate streak string
streak_string = (
f"Under @bradlander's proposed legislation, "
f"this vehicle could have been booted or impounded "
f"due to its {camera_streak_data.max_streak} camera violations "
f"(>= 5/year) from {camera_streak_data.min_streak_date}"
f" to {camera_streak_data.max_streak_date}.\n")
# add to container
response_chunks.append(streak_string)
unique_link: str = self._get_website_plate_lookup_link(
unique_identifier)
website_link_string = f'View more details at {unique_link}.'
response_chunks.append(website_link_string)
# Send it back!
return response_chunks
def _form_plate_lookup_response_parts(
self,
borough_data: list[Tuple[str, int]],
frequency: int,
fine_data: FineData,
lookup_source: str,
plate: str,
plate_types: list[str],
state: str,
unique_identifier: str,
username: str,
violations: list[Tuple[str, int]],
year_data: list[Tuple[str, int]],
camera_streak_data: dict[str, CameraStreakData] = None,
previous_lookup: Optional[PlateLookup] = None):
# response_chunks holds tweet-length-sized parts of the response
# to be tweeted out or appended into a single direct message.
response_chunks: list[str] = []
violations_string: str = ""
# Get total violations
total_violations: int = sum([s['count'] for s in violations])
LOG.debug(f'total_violations: {total_violations}')
now_in_eastern_time = self.utc.localize(datetime.now())
time_prefix = now_in_eastern_time.strftime(
'As of %I:%M:%S %p on %B %-d, %Y:\n\n')
# Append username to blank string to start to build tweet.
violations_string += (f'@{username} {time_prefix}' if lookup_source
== lookup_sources.LookupSource.STATUS.value else
'')
# Append summary string.
violations_string += L10N.LOOKUP_SUMMARY_STRING.format(
L10N.VEHICLE_HASHTAG.format(state, plate),
L10N.get_plate_types_string(plate_types), frequency,
L10N.pluralize(int(frequency)))
# If this vehicle has been queried before...
if previous_lookup:
previous_num_violations: int = previous_lookup.num_tickets
violations_string += self._create_repeat_lookup_string(
new_violations=(total_violations - previous_num_violations),
plate=plate,
previous_lookup=previous_lookup,
state=state,
username=username)
response_chunks.append(violations_string)
username_prefix = (
f'@{twitter_constants.HMDNY_TWITTER_HANDLE} {time_prefix}' if
lookup_source == lookup_sources.LookupSource.STATUS.value else '')
response_chunks += self._handle_response_part_formation(
collection=violations,
continued_format_string=L10N.LOOKUP_TICKETS_STRING_CONTD.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
count='count',
description='title',
default_description='No Year Available',
prefix_format_string=L10N.LOOKUP_TICKETS_STRING.format(
total_violations),
result_format_string=L10N.LOOKUP_RESULTS_DETAIL_STRING,
username_prefix=username_prefix)
if year_data:
response_chunks += self._handle_response_part_formation(
collection=year_data,
continued_format_string=L10N.LOOKUP_YEAR_STRING_CONTD.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
count='count',
description='title',
default_description='No Year Available',
prefix_format_string=L10N.LOOKUP_YEAR_STRING.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
result_format_string=L10N.LOOKUP_RESULTS_DETAIL_STRING,
username_prefix=username_prefix)
if borough_data:
response_chunks += self._handle_response_part_formation(
collection=borough_data,
continued_format_string=L10N.LOOKUP_BOROUGH_STRING_CONTD.
format(L10N.VEHICLE_HASHTAG.format(state, plate)),
count='count',
description='title',
default_description='No Borough Available',
prefix_format_string=L10N.LOOKUP_BOROUGH_STRING.format(
L10N.VEHICLE_HASHTAG.format(state, plate)),
result_format_string=L10N.LOOKUP_RESULTS_DETAIL_STRING,
username_prefix=username_prefix)
if fine_data and fine_data.fines_assessed():
cur_string = (
f'{username_prefix}'
f'Known fines for {L10N.VEHICLE_HASHTAG.format(state, plate)}:\n\n'
)
max_count_length = len('${:,.2f}'.format(fine_data.max_amount()))
spaces_needed = (max_count_length * 2) + 1
for fine_type, amount in fine_data:
currency_string = '${:,.2f}'.format(amount)
count_length = len(str(currency_string))
# e.g., if spaces_needed is 5, and count_length is 2, we need
# to pad to 3.
left_justify_amount = spaces_needed - count_length
# formulate next string part
next_part = (f"{currency_string.ljust(left_justify_amount)}| "
f"{fine_type.replace('_', ' ').title()}\n")
# determine current string length if necessary
potential_response_length = len(cur_string + next_part)
# If violation string so far and new part are less or
# equal than 280 characters, append to existing tweet string.
if (potential_response_length <=
twitter_constants.MAX_TWITTER_STATUS_LENGTH):
cur_string += next_part
else:
response_chunks.append(cur_string)
cur_string = "Known fines for #{}_{}, cont'd:\n\n"
cur_string += next_part
# add to container
response_chunks.append(cur_string)
for camera_violation_type, threshold in self.CAMERA_THRESHOLDS.items():
violation_type_data = camera_streak_data[camera_violation_type]
if violation_type_data:
if (camera_violation_type == 'Failure to Stop at Red Light'
and violation_type_data.max_streak >= threshold):
# add to container
response_chunks.append(
L10N.
DANGEROUS_VEHICLE_ABATEMENT_ACT_REPEAT_OFFENDER_STRING.
format(username_prefix, violation_type_data.max_streak,
'red light', threshold,
violation_type_data.min_streak_date,
violation_type_data.max_streak_date))
elif (camera_violation_type
== 'School Zone Speed Camera Violation'
and violation_type_data.max_streak >= threshold):
# add to container
response_chunks.append(
L10N.
DANGEROUS_VEHICLE_ABATEMENT_ACT_REPEAT_OFFENDER_STRING.
format(username_prefix, violation_type_data.max_streak,
'school zone speed', threshold,
violation_type_data.min_streak_date,
violation_type_data.max_streak_date))
unique_link: str = self._get_website_plate_lookup_link(
unique_identifier)
website_link_string = f'View more details at {unique_link}.'
response_chunks.append(website_link_string)
# Send it back!
return response_chunks