My code crashed. Need help correcting.

def get_weather_report(takeoff,weather):

"""

Returns the most recent weather report at or before take-off.

The weather is a dictionary whose keys are ISO formatted timestamps and whose values

are weather reports.For example, here is an example of a (small portion of) a

weather dictionary:

{

"2017-04-21T08:00:00-04:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 13.0,

"crosswind": 2.0,

"units": "KT"

},

"temperature": {

"value": 13.9,

"units": "C"

},

"sky": [

{

"cover": "clouds",

"type": "broken",

"height": 700.0,

"units": "FT"

}

],

"code": "201704211056Z"

},

"2017-04-21T07:00:00-04:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 13.0,

"crosswind": 2.0,

"units": "KT"

},

"temperature": {

"value": 13.9,

"units": "C"

},

"sky": [

{

"type": "overcast",

"height": 700.0,

"units": "FT"

}

],

"code": "201704210956Z"

}

...

},

If there is a report whose timestamp matches the ISO representation of takeoff,

this function uses that report.Otherwise it searches the dictionary for the most

recent report before takeoff.If there is no such report, it returns None.

Example: If takeoff was as 8 am on April 21, 2017 (Eastern), this function returns

the value for key '2017-04-21T08:00:00-04:00'.If there is no additional report at

9 am, a 9 am takeoff would use this value as well.

Parameter takeoff: The takeoff time

Precondition: takeoff is a datetime object

Paramater weather: The weather report dictionary

Precondition: weather is a dictionary formatted as described above

"""

# HINT: Looping through the dictionary is VERY slow because it is so large

# You should convert the takeoff time to an ISO string and search for that first.

# Only loop through the dictionary as a back-up if that fails.

# Search for time in dictionary

# As fall back, find the closest time before takeoff

# STEP 1 : Convert the date time to ISO string

iso_string_date = takeoff.isoformat()

# STEP 2: Return the weather data for the iso date we have found.

return weather[iso_string_date]

The call get_weather_report(2017-10-12T11:30:00-04:00,weather) crashed. Traceback (most recent call last): File "/home/codio/workspace/.guides/tests/step3/verifier.py", line 546, in grade_func4 found = func(stamp,report) File "/home/codio/workspace/auditor/violations.py", line 341, in get_weather_report return weather[iso_string_date] KeyError: '2017-10-12T11:30:00-04:00' 

__________________________________________________________________________________________________________________________________

Test file.

def test_get_weather_report():

"""

Tests the function get_weather_report

"""

fcn = 'violations.get_weather_report'

parent = os.path.split(__file__)[0]

fpath= os.path.join(parent,'weather.json')

report = utils.read_json(fpath)

tests = [("2017-10-12T11:00:00-04:00","2017-10-12T11:00:00-04:00"),

("2017-10-12T11:30:00-04:00","2017-10-12T11:00:00-04:00"),

("2017-10-13T09:00:00-04:00","2017-10-13T09:00:00-04:00"),

("2017-10-13T09:15:00-04:00","2017-10-13T09:00:00-04:00"),

("2017-03-12T02:00:00-05:00","2017-03-12T02:00:00-05:00"),

("2017-03-12T02:45:00-05:00","2017-03-12T02:00:00-05:00"),

("2017-03-12T03:00:00-05:00","2017-03-12T02:00:00-05:00"),

("2017-12-27T08:00:00-05:00","2017-12-27T08:00:00-05:00"),

("2017-12-27T23:00:00-05:00","2017-12-28T00:00:00-05:00")]

# Perform the tests

for test in tests:

expct = report[test[1]]

stamp = utils.str_to_time(test[0])

found = violations.get_weather_report(stamp,report)

try:

code = 'code='+repr(found['code'])

except:

code = 'no code'

data= (fcn,test[0],'weather',code,repr(expct['code']))

assert_equals(expct, found,'%s(%s,%s) returned a report with %s, not code=%s' % data)

print('%s passed all tests' % fcn)

_______________________________________________________________________________________________________________________________________

utils file

# not sure if you need this to run the test file.

import json

def read_json(filename):

"""

Returns the contents read from the JSON file filename.

This function reads the contents of the file filename, and will use the json module

to covert these contents in to a Python data value.This value will either be a

a dictionary or a list.

Parameter filename: The file to read

Precondition: filename is a string, referring to a file that exists, and that file

is a valid JSON file

"""

#opening the file

fp=open(filename)

#converts the json file to dictionary

data=json.load(fp)

#closing the file

fp.close()

#return dictionary

return data

import pytz

from dateutil.parser import *

import datetime

from pytz import *

def str_to_time(timestamp,tz=None):

"""

Returns the datetime object for the given timestamp (or None if stamp is invalid)

This function should just use the parse function in dateutil.parser to

convert the timestamp to a datetime object.If it is not a valid date (so

the parser crashes), this function should return None.

If the timestamp has a timezone, then it should keep that timezone even if

the value for tz is not None.Otherwise, if timestamp has no timezone and

tz if not None, this this function will assign that timezone to the datetime

object.

The value for tz can either be a string or a time OFFSET. If it is a string,

it will be the name of a timezone, and it should localize the timestamp. If

it is an offset, that offset should be assigned to the datetime object.

Parameter timestamp: The time stamp to convert

Precondition: timestamp is a string

Parameter tz: The timezone to use (OPTIONAL)

Precondition: tz is either None, a string naming a valid time zone,

or a time zone OFFSET.

"""

# HINT: Use the code from the previous exercise and update the timezone

# Use localize if timezone is a string; otherwise replace the timezone if not None

try:

result = parse(timestamp)

if result.tzinfo is None and tz is None:

return result

elif result.tzinfo is None and type(tz) == str:

time1 = pytz.timezone(tz)

e = time1.localize(result)

return e

elif result.tzinfo is not None and tz is None:

return result

elif result.tzinfo is None and tz is not None:

g = result.replace(tzinfo=tz)

return g

elif result.tzinfo is not None and tz is not None:

h = result.replace()

return h

except ValueError:

return None

____________________________________________________________________________________________________________________________________________

Part of the weather.json file (it is an extremely hard file)

{

"2018-01-01T00:00:00-05:00": {

"visibility": {

"prevailing": 1.75,

"units": "SM"

},

"wind": {

"speed": 13.0,

"crosswind": 5.0,

"units": "KT"

},

"temperature": {

"value": -15.0,

"units": "C"

},

"sky": [

{

"cover": "clouds",

"type": "broken",

"height": 1200.0,

"units": "FT"

},

{

"type": "overcast",

"height": 1800.0,

"units": "FT"

}

],

"weather": [

"light snow",

"mist"

],

"code": "201801010456Z"

},

"2017-12-31T23:00:00-05:00": {

"visibility": {

"prevailing": 1.75,

"units": "SM"

},

"wind": {

"speed": 13.0,

"crosswind": 5.0,

"units": "KT"

},

"temperature": {

"value": -15.0,

"units": "C"

},

"sky": [

{

"cover": "clouds",

"type": "broken",

"height": 1300.0,

"units": "FT"

},

{

"type": "overcast",

"height": 2200.0,

"units": "FT"

}

],

"weather": [

"light snow",

"mist"

],

"code": "201801010356Z"

},

"2017-12-31T22:00:00-05:00": {

"visibility": {

"prevailing": 3.0,

"units": "SM"

},

"wind": {

"speed": 11.0,

"crosswind": 7.0,

"units": "KT"

},

"temperature": {

"value": -15.0,

"units": "C"

},

"sky": [

{

"type": "overcast",

"height": 1300.0,

"units": "FT"

}

],

"weather": [

"light snow",

"mist"

],

"code": "201801010317Z"

},

"2017-12-31T21:00:00-05:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 10.0,

"crosswind": 7.0,

"units": "KT"

},

"temperature": {

"value": -16.1,

"units": "C"

},

"sky": [

{

"type": "overcast",

"height": 1700.0,

"units": "FT"

}

],

"code": "201801010156Z"

},

"2017-12-31T20:00:00-05:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 11.0,

"crosswind": 10.0,

"units": "KT"

},

"temperature": {

"value": -16.7,

"units": "C"

},

"sky": [

{

"cover": "clouds",

"type": "broken",

"height": 2000.0,

"units": "FT"

}

],

"code": "201801010056Z"

},

"2017-12-31T19:00:00-05:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 12.0,

"crosswind": 9.0,

"gusts": 19.0,

"units": "KT"

},

"temperature": {

"value": -16.1,

"units": "C"

},

"sky": [

{

"cover": "clouds",

"type": "broken",

"height": 2200.0,

"units": "FT"

}

],

"code": "201712312356Z"

},

"2017-12-31T18:00:00-05:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 12.0,

"crosswind": 8.0,

"units": "KT"

},

"temperature": {

"value": -16.1,

"units": "C"

},

"sky": [

{

"cover": "clouds",

"type": "broken",

"height": 2200.0,

"units": "FT"

}

],

"code": "201712312256Z"

},

"2017-12-31T17:00:00-05:00": {

"visibility": {

"prevailing": 10.0,

"units": "SM"

},

"wind": {

"speed": 11.0,

"crosswind": 9.0,

"units": "KT"

},

"temperature": {

"value": -16.0,

"units": "C"

},

"sky": [

{

"type": "overcast",

"height": 2200.0,

"units": "FT"

}

],

"code": "201712312214Z"

},