summaryrefslogtreecommitdiffstats
path: root/tests/rscript_parse_time_get-ts.py
blob: f7e3787b76ceb74eccccea4db217473a56435441 (plain)
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
# call this via "python[3] script name"
# Added 2017-11-05 by Stephen Workman, released under ASL 2.0

#
# Produces a UNIX timestamp representing the specified RFC 3164 date/time
# string. Since this date/time format does not include a year, a simple
# algorithm is used to "guess" an appropriate one and append it to the
# date/time string to calculate a timestamp value.
#
# If the incoming date is within one month in the future (from now),
# it is assumed that it's either for the current year, or the next
# year (depending on whether it is December or not).
#   - For example:
#        * If today is December 13th 2017 and we get passed the date/time
#          string "Jan  4 01:00:00", we assume that it is for the next
#          year (2018).
#        * If today is October 5th 2017, and we get passed the date/time
#          string "Nov  5 01:10:11", we assume that it is for this year.
# If the incoming date has a month "before" the current month, or does
# not fall into the situation above, it's assumed it's from the past.
#   - For example:
#        * If today is July 10th 2017, and the incoming date is for
#          a time in April, the year is assumed to be 2017.
#        * If today is July 10th 2017, and the incoming date is for
#          a time in September, the year is assumed to be 2016.
#

import re
import sys

from datetime import datetime, timedelta

err = 0

# Make tests below a little easier to read.
JAN = 1; FEB =  2; MAR =  3; APR =  4
MAY = 5; JUN =  6; JUL =  7; AUG =  8
SEP = 9; OCT = 10; NOV = 11; DEC = 12

# Run the provided expression and compare its result with the
# expected value. The function expects the expression to be
# passed in as a string so it can be printed to the screen
# as-is when there is an error.
def do_test(expr, val):
    global err

    # Run the expression and record the result
    result = eval(expr)

    # Print a message identifying the failing "test"
    if result != val:
        print("Error: %s. Expected %4d, got %4d!" % (expr, val, result))
        err += 1

# Use a sliding 12-month window (offset by one month)
# to determine the year that should be returned.
# cy - Current Year
# cm - Current Month
# im - Incoming Month
def estimate_year(cy, cm, im):
	im += 12

	if (im - cm) == 1:
		if cm == 12 and im == 13:
			return cy + 1

	if (im - cm) > 13:
		return cy - 1

	return cy;

# A quick and dirty unit test to validate that our
# estimate_year() function is working as it should.
def self_test():

    # Where the incoming month is within one month
    # in the future. Should be the NEXT year if
    # the current date is in December, or the SAME
    # year if it's not December.
    do_test("estimate_year(2017, DEC, JAN)", 2018)
    do_test("estimate_year(2017, NOV, DEC)", 2017)
    do_test("estimate_year(2017, OCT, NOV)", 2017)
    do_test("estimate_year(2017, SEP, OCT)", 2017)
    do_test("estimate_year(2017, AUG, SEP)", 2017)

    # These tests validate months that are MORE than
    # one month in the future OR are before the current
    # month. If, numerically, the month comes after the
    # current month, it's assumed to be for the year
    # PRIOR, otherwise it's assumed to be from THIS year.
    do_test("estimate_year(2017, NOV, JAN)", 2017)
    do_test("estimate_year(2017, NOV, FEB)", 2017)
    do_test("estimate_year(2017, AUG, OCT)", 2016)
    do_test("estimate_year(2017, AUG, MAR)", 2017)
    do_test("estimate_year(2017, APR, JUL)", 2016)

    do_test("estimate_year(2017, AUG, JAN)", 2017)
    do_test("estimate_year(2017, APR, FEB)", 2017)

    # Additional validations based on what was described
    # above.
    do_test("estimate_year(2017, JAN, DEC)", 2016)
    do_test("estimate_year(2017, JAN, FEB)", 2017)
    do_test("estimate_year(2017, JAN, MAR)", 2016)

# Convert a datetime.timedelta object to a UNIX timestamp
def get_total_seconds(dt):
    # timedelta.total_seconds() wasn't added until
    # Python 2.7, which CentOS 6 doesn't have.

    if hasattr(timedelta, "total_seconds"):
        return dt.total_seconds()
    return dt.seconds + dt.days * 24 * 3600

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Invalid number of arguments!")
        sys.exit(1)

    if sys.argv[1] == "selftest":
        self_test()

        # Exit with non-zero if there were failures,
        # zero otherwise.
        sys.exit(err)

    months = [None, "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]

    current_datetime = datetime.utcnow()

    # The argument is expected to be an RFC 3164 timestamp
    # such as "Oct  5 01:10:11".
    incoming_datetime = sys.argv[1]

    # Get the name of the month from the date/time string that was passed in
    # and convert it to its ordinal number (1 for Jan, 10 for Oct, etc...)
    incoming_month = re.search(r"^([^ ]+) ", incoming_datetime).group(1)
    incoming_month = months.index(incoming_month)

    # Assume a year for the date/time passed in based off of today's date.
    estimated_year = estimate_year(
        current_datetime.year,
        current_datetime.month,
        incoming_month
    )

    # Convert the date/time string (now with a year, e.g. "Oct  5 01:10:11 2017") to
    # a python datetime object that we can use to calculate a UNIX timestamp
    calculated_datetime = datetime.strptime("%s %d" % (incoming_datetime, estimated_year), "%b %d %H:%M:%S %Y")

    # Convert the datetime object to a UNIX timestamp by subtracting it from the epoch
    print(int( get_total_seconds(calculated_datetime - datetime(1970,1,1)) ))