location resolution, functioning, some tests

This commit is contained in:
Daniel Tsvetkov 2019-03-13 22:14:27 -07:00
parent 0f3285062e
commit 7919d7e95a
7 changed files with 11141 additions and 58 deletions

2
.gitignore vendored
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@ -1 +1,3 @@
venv
data/.cache.csv
__pycache__

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@ -3,25 +3,19 @@ Find time now, in the past or future in any timezone or location.
## Usage
```
python tz.py HUMAN_TIME [HUMAN_TZ_LOC] [--format="%Y-%m-%d %H:%M:%S%z"]
python tz.py QUERY [--format="%Y-%m-%d %H:%M:%S%z"] [--debug]
```
* `HUMAN_TIME` - is any time or time-like string. See the [dateparser](https://pypi.org/project/dateparser/) for example `10:15`, `now`, `in 3 hours` and many others.
* `HUMAN_TZ_LOC` - (optional) is either timezone to which the date should be translated (fast) or a location (slow - and requires internet connection to resolve the location). Uses [geopy](https://geopy.readthedocs.io/en/stable/) for location resolution and [timezonefinder](https://pypi.org/project/timezonefinder/) for timezone resolution.
* `QUERY` - is of the form `<datetime-like> to <timezone or location>`
`<datetime-like>` is any time or time-like string - or example `2019-04-26 3:14`, `06:42`, timezones `15:10 cet` but also some human readable like `now`, `in 3 hours`, `7 minutes ago` and many others. See [dateparser](https://pypi.org/project/dateparser/) for more.
`to <timezone or location>` is optional. It has to have the word `to` which specifies that timezone or location follows. It is either:
- timezone (tried first) to which the date should be translated or
- a location. Uses a local database of files of countries and cities. It then tries to fuzzymatch the query using [fuzzywuzzy](https://github.com/seatgeek/fuzzywuzzy). In case it can't find the country or city, it uses [geopy](https://geopy.readthedocs.io/en/stable/) for location resolution. Finally it uses [timezonefinder](https://pypi.org/project/timezonefinder/) for timezone resolution.
* `--format` is the format of the time to be displayed. See supported [datetime formats](https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior)
You could alias the whole command to `tww` for faster typing, e.g. in your `.bashrc`:
```
alias tww="~/workspace/tz/venv/bin/python ~/workspace/tz/tz.py"
```
If `HUMAN_TIME` and/or `HUMAN_TZ_LOC` have spaces, they need to be quoted, e.g.:
```
tww "in 2 hours" "los angeles"
```
## Install
```
@ -30,41 +24,47 @@ source venv/bin/activate
pip install -r requirements.txt
```
You could alias the whole command to `tww` for faster typing, e.g. in your `.bashrc`:
```
alias tww="~/workspace/tz/venv/bin/python ~/workspace/tz/tz.py"
```
## Examples
Without timezone/location:
Time now (in this timezone):
```
$ tww now
2019-03-13 15:04:36.607080
2019-03-13 15:04:36
```
Time now in another timezone
Time now to another timezone (UTC let's say):
```
$ tww now CET
2019-03-13 23:07:54.957743
$ tww now to utc
2019-03-13 15:04:36
```
One hour from now in UTC, showing only the time:
```
$ tww "in 1 hour" utc --format="%T"
$ tww in 1 hour to cet --format="%T"
23:17:49
```
With timezone:
```
$ tww now Asia/Tokyo
2019-03-14 07:06:35.273192
$ tww now to asia/tokyo
2019-03-14 07:06:35
```
Another time in timezone:
Another time to timezone:
```
$ tww 15:10 cet
$ tww 15:10 to cet
2019-03-13 23:10:00
```
Time in location (**slow!**):
Time in one timezone (pst) to another in city:
```
$ tww "3/14 15 9:26:53 PST" sofia
$ tww 3/14 15 9:26:53 PST to sofia
2015-03-14 19:26:53+02:00
```

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data/cities.csv Normal file

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data/countries.csv Normal file
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andorra,42.5,1.5
united arab emirates,24,54
afghanistan,33,65
antigua and barbuda,17.05,-61.8
anguilla,18.25,-63.17
albania,41,20
armenia,40,45
netherlands antilles,12.25,-68.75
angola,-12.5,18.5
asia/pacific region,35,105
antarctica,-90,0
argentina,-34,-64
american samoa,-14.33,-170
austria,47.33,13.33
australia,-27,133
aruba,12.5,-69.97
azerbaijan,40.5,47.5
bosnia and herzegovina,44,18
barbados,13.17,-59.53
bangladesh,24,90
belgium,50.83,4
burkina faso,13,-2
bulgaria,43,25
bahrain,26,50.55
burundi,-3.5,30
benin,9.5,2.25
bermuda,32.33,-64.75
brunei darussalam,4.5,114.67
bolivia,-17,-65
brazil,-10,-55
bahamas,24.25,-76
bhutan,27.5,90.5
bouvet island,-54.43,3.4
botswana,-22,24
belarus,53,28
belize,17.25,-88.75
canada,60,-95
cocos (keeling) islands,-12.5,96.83
"congo, the democratic republic of the",0,25
central african republic,7,21
congo,-1,15
switzerland,47,8
cote d'ivoire,8,-5
cook islands,-21.23,-159.77
chile,-30,-71
cameroon,6,12
china,35,105
colombia,4,-72
costa rica,10,-84
cuba,21.5,-80
cape verde,16,-24
christmas island,-10.5,105.67
cyprus,35,33
czech republic,49.75,15.5
germany,51,9
djibouti,11.5,43
denmark,56,10
dominica,15.42,-61.33
dominican republic,19,-70.67
algeria,28,3
ecuador,-2,-77.5
estonia,59,26
egypt,27,30
western sahara,24.5,-13
eritrea,15,39
spain,40,-4
ethiopia,8,38
europe,47,8
finland,64,26
fiji,-18,175
falkland islands (malvinas),-51.75,-59
"micronesia, federated states of",6.92,158.25
faroe islands,62,-7
france,46,2
gabon,-1,11.75
united kingdom,54,-2
grenada,12.12,-61.67
georgia,42,43.5
french guiana,4,-53
ghana,8,-2
gibraltar,36.18,-5.37
greenland,72,-40
gambia,13.47,-16.57
guinea,11,-10
guadeloupe,16.25,-61.58
equatorial guinea,2,10
greece,39,22
south georgia and the south sandwich islands,-54.5,-37
guatemala,15.5,-90.25
guam,13.47,144.78
guinea-bissau,12,-15
guyana,5,-59
hong kong,22.25,114.17
heard island and mcdonald islands,-53.1,72.52
honduras,15,-86.5
croatia,45.17,15.5
haiti,19,-72.42
hungary,47,20
indonesia,-5,120
ireland,53,-8
israel,31.5,34.75
india,20,77
british indian ocean territory,-6,71.5
iraq,33,44
"iran, islamic republic of",32,53
iceland,65,-18
italy,42.83,12.83
jamaica,18.25,-77.5
jordan,31,36
japan,36,138
kenya,1,38
kyrgyzstan,41,75
cambodia,13,105
kiribati,1.42,173
comoros,-12.17,44.25
saint kitts and nevis,17.33,-62.75
"korea, democratic people's republic of",40,127
"korea, republic of",37,127.5
kuwait,29.34,47.66
cayman islands,19.5,-80.5
kazakhstan,48,68
lao people's democratic republic,18,105
lebanon,33.83,35.83
saint lucia,13.88,-61.13
liechtenstein,47.17,9.53
sri lanka,7,81
liberia,6.5,-9.5
lesotho,-29.5,28.5
lithuania,56,24
luxembourg,49.75,6.17
latvia,57,25
libyan arab jamahiriya,25,17
morocco,32,-5
monaco,43.73,7.4
"moldova, republic of",47,29
montenegro,42,19
madagascar,-20,47
marshall islands,9,168
macedonia,41.83,22
mali,17,-4
myanmar,22,98
mongolia,46,105
macao,22.17,113.55
northern mariana islands,15.2,145.75
martinique,14.67,-61
mauritania,20,-12
montserrat,16.75,-62.2
malta,35.83,14.58
mauritius,-20.28,57.55
maldives,3.25,73
malawi,-13.5,34
mexico,23,-102
malaysia,2.5,112.5
mozambique,-18.25,35
namibia,-22,17
new caledonia,-21.5,165.5
niger,16,8
norfolk island,-29.03,167.95
nigeria,10,8
nicaragua,13,-85
netherlands,52.5,5.75
norway,62,10
nepal,28,84
nauru,-0.53,166.92
niue,-19.03,-169.87
new zealand,-41,174
oman,21,57
panama,9,-80
peru,-10,-76
french polynesia,-15,-140
papua new guinea,-6,147
philippines,13,122
pakistan,30,70
poland,52,20
saint pierre and miquelon,46.83,-56.33
puerto rico,18.25,-66.5
palestinian territory,32,35.25
portugal,39.5,-8
palau,7.5,134.5
paraguay,-23,-58
qatar,25.5,51.25
reunion,-21.1,55.6
romania,46,25
serbia,44,21
russian federation,60,100
rwanda,-2,30
saudi arabia,25,45
solomon islands,-8,159
seychelles,-4.58,55.67
sudan,15,30
sweden,62,15
singapore,1.37,103.8
saint helena,-15.93,-5.7
slovenia,46,15
svalbard and jan mayen,78,20
slovakia,48.67,19.5
sierra leone,8.5,-11.5
san marino,43.77,12.42
senegal,14,-14
somalia,10,49
suriname,4,-56
sao tome and principe,1,7
el salvador,13.83,-88.92
syrian arab republic,35,38
swaziland,-26.5,31.5
turks and caicos islands,21.75,-71.58
chad,15,19
french southern territories,-43,67
togo,8,1.17
thailand,15,100
tajikistan,39,71
tokelau,-9,-172
turkmenistan,40,60
tunisia,34,9
tonga,-20,-175
turkey,39,35
trinidad and tobago,11,-61
tuvalu,-8,178
taiwan,23.5,121
"tanzania, united republic of",-6,35
ukraine,49,32
uganda,1,32
united states minor outlying islands,19.28,166.6
united states,38,-97
uruguay,-33,-56
uzbekistan,41,64
holy see (vatican city state),41.9,12.45
saint vincent and the grenadines,13.25,-61.2
venezuela,8,-66
"virgin islands, british",18.5,-64.5
"virgin islands, u.s.",18.33,-64.83
vietnam,16,106
vanuatu,-16,167
wallis and futuna,-13.3,-176.2
samoa,-13.58,-172.33
yemen,15,48
mayotte,-12.83,45.17
south africa,-29,24
zambia,-15,30
zimbabwe,-20,30
1 andorra 42.5 1.5
2 united arab emirates 24 54
3 afghanistan 33 65
4 antigua and barbuda 17.05 -61.8
5 anguilla 18.25 -63.17
6 albania 41 20
7 armenia 40 45
8 netherlands antilles 12.25 -68.75
9 angola -12.5 18.5
10 asia/pacific region 35 105
11 antarctica -90 0
12 argentina -34 -64
13 american samoa -14.33 -170
14 austria 47.33 13.33
15 australia -27 133
16 aruba 12.5 -69.97
17 azerbaijan 40.5 47.5
18 bosnia and herzegovina 44 18
19 barbados 13.17 -59.53
20 bangladesh 24 90
21 belgium 50.83 4
22 burkina faso 13 -2
23 bulgaria 43 25
24 bahrain 26 50.55
25 burundi -3.5 30
26 benin 9.5 2.25
27 bermuda 32.33 -64.75
28 brunei darussalam 4.5 114.67
29 bolivia -17 -65
30 brazil -10 -55
31 bahamas 24.25 -76
32 bhutan 27.5 90.5
33 bouvet island -54.43 3.4
34 botswana -22 24
35 belarus 53 28
36 belize 17.25 -88.75
37 canada 60 -95
38 cocos (keeling) islands -12.5 96.83
39 congo, the democratic republic of the 0 25
40 central african republic 7 21
41 congo -1 15
42 switzerland 47 8
43 cote d'ivoire 8 -5
44 cook islands -21.23 -159.77
45 chile -30 -71
46 cameroon 6 12
47 china 35 105
48 colombia 4 -72
49 costa rica 10 -84
50 cuba 21.5 -80
51 cape verde 16 -24
52 christmas island -10.5 105.67
53 cyprus 35 33
54 czech republic 49.75 15.5
55 germany 51 9
56 djibouti 11.5 43
57 denmark 56 10
58 dominica 15.42 -61.33
59 dominican republic 19 -70.67
60 algeria 28 3
61 ecuador -2 -77.5
62 estonia 59 26
63 egypt 27 30
64 western sahara 24.5 -13
65 eritrea 15 39
66 spain 40 -4
67 ethiopia 8 38
68 europe 47 8
69 finland 64 26
70 fiji -18 175
71 falkland islands (malvinas) -51.75 -59
72 micronesia, federated states of 6.92 158.25
73 faroe islands 62 -7
74 france 46 2
75 gabon -1 11.75
76 united kingdom 54 -2
77 grenada 12.12 -61.67
78 georgia 42 43.5
79 french guiana 4 -53
80 ghana 8 -2
81 gibraltar 36.18 -5.37
82 greenland 72 -40
83 gambia 13.47 -16.57
84 guinea 11 -10
85 guadeloupe 16.25 -61.58
86 equatorial guinea 2 10
87 greece 39 22
88 south georgia and the south sandwich islands -54.5 -37
89 guatemala 15.5 -90.25
90 guam 13.47 144.78
91 guinea-bissau 12 -15
92 guyana 5 -59
93 hong kong 22.25 114.17
94 heard island and mcdonald islands -53.1 72.52
95 honduras 15 -86.5
96 croatia 45.17 15.5
97 haiti 19 -72.42
98 hungary 47 20
99 indonesia -5 120
100 ireland 53 -8
101 israel 31.5 34.75
102 india 20 77
103 british indian ocean territory -6 71.5
104 iraq 33 44
105 iran, islamic republic of 32 53
106 iceland 65 -18
107 italy 42.83 12.83
108 jamaica 18.25 -77.5
109 jordan 31 36
110 japan 36 138
111 kenya 1 38
112 kyrgyzstan 41 75
113 cambodia 13 105
114 kiribati 1.42 173
115 comoros -12.17 44.25
116 saint kitts and nevis 17.33 -62.75
117 korea, democratic people's republic of 40 127
118 korea, republic of 37 127.5
119 kuwait 29.34 47.66
120 cayman islands 19.5 -80.5
121 kazakhstan 48 68
122 lao people's democratic republic 18 105
123 lebanon 33.83 35.83
124 saint lucia 13.88 -61.13
125 liechtenstein 47.17 9.53
126 sri lanka 7 81
127 liberia 6.5 -9.5
128 lesotho -29.5 28.5
129 lithuania 56 24
130 luxembourg 49.75 6.17
131 latvia 57 25
132 libyan arab jamahiriya 25 17
133 morocco 32 -5
134 monaco 43.73 7.4
135 moldova, republic of 47 29
136 montenegro 42 19
137 madagascar -20 47
138 marshall islands 9 168
139 macedonia 41.83 22
140 mali 17 -4
141 myanmar 22 98
142 mongolia 46 105
143 macao 22.17 113.55
144 northern mariana islands 15.2 145.75
145 martinique 14.67 -61
146 mauritania 20 -12
147 montserrat 16.75 -62.2
148 malta 35.83 14.58
149 mauritius -20.28 57.55
150 maldives 3.25 73
151 malawi -13.5 34
152 mexico 23 -102
153 malaysia 2.5 112.5
154 mozambique -18.25 35
155 namibia -22 17
156 new caledonia -21.5 165.5
157 niger 16 8
158 norfolk island -29.03 167.95
159 nigeria 10 8
160 nicaragua 13 -85
161 netherlands 52.5 5.75
162 norway 62 10
163 nepal 28 84
164 nauru -0.53 166.92
165 niue -19.03 -169.87
166 new zealand -41 174
167 oman 21 57
168 panama 9 -80
169 peru -10 -76
170 french polynesia -15 -140
171 papua new guinea -6 147
172 philippines 13 122
173 pakistan 30 70
174 poland 52 20
175 saint pierre and miquelon 46.83 -56.33
176 puerto rico 18.25 -66.5
177 palestinian territory 32 35.25
178 portugal 39.5 -8
179 palau 7.5 134.5
180 paraguay -23 -58
181 qatar 25.5 51.25
182 reunion -21.1 55.6
183 romania 46 25
184 serbia 44 21
185 russian federation 60 100
186 rwanda -2 30
187 saudi arabia 25 45
188 solomon islands -8 159
189 seychelles -4.58 55.67
190 sudan 15 30
191 sweden 62 15
192 singapore 1.37 103.8
193 saint helena -15.93 -5.7
194 slovenia 46 15
195 svalbard and jan mayen 78 20
196 slovakia 48.67 19.5
197 sierra leone 8.5 -11.5
198 san marino 43.77 12.42
199 senegal 14 -14
200 somalia 10 49
201 suriname 4 -56
202 sao tome and principe 1 7
203 el salvador 13.83 -88.92
204 syrian arab republic 35 38
205 swaziland -26.5 31.5
206 turks and caicos islands 21.75 -71.58
207 chad 15 19
208 french southern territories -43 67
209 togo 8 1.17
210 thailand 15 100
211 tajikistan 39 71
212 tokelau -9 -172
213 turkmenistan 40 60
214 tunisia 34 9
215 tonga -20 -175
216 turkey 39 35
217 trinidad and tobago 11 -61
218 tuvalu -8 178
219 taiwan 23.5 121
220 tanzania, united republic of -6 35
221 ukraine 49 32
222 uganda 1 32
223 united states minor outlying islands 19.28 166.6
224 united states 38 -97
225 uruguay -33 -56
226 uzbekistan 41 64
227 holy see (vatican city state) 41.9 12.45
228 saint vincent and the grenadines 13.25 -61.2
229 venezuela 8 -66
230 virgin islands, british 18.5 -64.5
231 virgin islands, u.s. 18.33 -64.83
232 vietnam 16 106
233 vanuatu -16 167
234 wallis and futuna -13.3 -176.2
235 samoa -13.58 -172.33
236 yemen 15 48
237 mayotte -12.83 45.17
238 south africa -29 24
239 zambia -15 30
240 zimbabwe -20 30

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@ -1,11 +1,29 @@
backcall==0.1.0
dateparser==0.7.1
decorator==4.3.2
freezegun==0.3.11
fuzzywuzzy==0.17.0
geographiclib==1.49
geopy==1.18.1
importlib-resources==1.0.2
ipython==7.3.0
ipython-genutils==0.2.0
jedi==0.13.3
numpy==1.16.2
parso==0.3.4
pexpect==4.6.0
pickleshare==0.7.5
pkg-resources==0.0.0
prompt-toolkit==2.0.9
ptyprocess==0.6.0
Pygments==2.3.1
python-dateutil==2.8.0
python-Levenshtein==0.12.0
pytz==2018.9
regex==2019.3.12
six==1.12.0
timezonefinder==4.0.1
traitlets==4.3.2
tzlocal==1.5.1
wcwidth==0.1.7
word2number==1.1

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test_tz.py Normal file
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import datetime
import unittest
from freezegun import freeze_time
import pytz
from tz import query_to_format_result, setup_logging_level
def get_local_hours_offset():
now = datetime.datetime.now()
local_tzinfo = now.astimezone().tzinfo
delta = local_tzinfo.utcoffset(now)
return delta.total_seconds()/3600
FROZEN_TIME = "2015-03-14 09:26:53 UTC"
# TODO: not quite sure....
# This gives the UTC+XX.YY offset.
# In order to get frozen time in UTC, use the negative as offset
UTC = -get_local_hours_offset()
# LocalTimezone, Query, Result
INTEGRATION_TESTS = [
(UTC, "now", "2015-03-14 09:26:53"),
# in two hours -> 11:26 | to tokyo +9 -> 20:26
(0, "in two hours to asia/tokyo", "2015-03-14 20:26:53"),
# now in UTC +2hrs -> 11:26
(0, "now to sofia", "2015-03-14 11:26:53"),
]
class IntegrationTests(unittest.TestCase):
def setUp(self):
setup_logging_level(True)
def test_integration(self):
for test in INTEGRATION_TESTS:
local_tz = test[0]
query = test[1].split(" ")
result = test[2]
freezer = freeze_time(FROZEN_TIME, tz_offset=local_tz)
freezer.start()
self.assertEqual(query_to_format_result(query), result)
freezer.stop()
if __name__ == '__main__':
unittest.main()

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tz.py
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@ -1,50 +1,257 @@
import sys
"""
"""
import argparse
import logging
import sys
import dateparser
from pytz.exceptions import UnknownTimeZoneError
FUZZ_THRESHOLD = 70
DEFAULT_FORMAT = '%Y-%m-%d %H:%M:%S%z'
parser = argparse.ArgumentParser()
parser.add_argument('human_dt', help="datetime-like string")
parser.add_argument('human_tz', nargs='?', help="timezone-like or location string")
parser.add_argument('--format', dest='format', default='%Y-%m-%d %H:%M:%S%z')
args = parser.parse_args()
logging.basicConfig()
logger = logging.getLogger()
human_dt = args.human_dt
human_tz = args.human_tz
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('query', nargs='*', help="<datetime-like> to <timezone-like or location string>")
parser.add_argument('--format', dest='format', default=DEFAULT_FORMAT)
parser.add_argument('--debug', dest='debug', action='store_true')
args = parser.parse_args()
return args
try:
# first try parsing the timezone from user input
if human_tz:
result = dateparser.parse(human_dt, settings={'TO_TIMEZONE': human_tz})
else:
result = dateparser.parse(human_dt)
except UnknownTimeZoneError:
# we don't know this timezone one, assume location
def setup_logging_level(debug=False):
log_level = logging.DEBUG if debug else logging.ERROR
logger.setLevel(log_level)
logger.debug("Debugging enabled")
class Location:
"""
Represents a location with name, latitude and longitude
"""
def __init__(self, name:str, latitude: float, longitude: float):
self.name = name
self.latitude = latitude
self.longitude = longitude
def __lt__(self, other):
return self.name < other.name
def __str__(self):
return "{} {} {}".format(self.name, self.latitude, self.longitude)
def normalize_words_to_number(query):
"""
Converts queries like "in one hour" -> "in 1 hour"
Assumes one-word numbers used
"""
from word2number import w2n
normal_list = []
for word in query.split():
try:
normal_list.append(str(w2n.word_to_num(word)))
except ValueError:
normal_list.append(word)
normal = ' '.join(normal_list)
logger.debug("Normalized dt query: {} -> {}".format(query, normal))
return normal
def timezone_to_normal(query):
"""
Makes a timezone written in wrong capitalization to correct one
as expected by IANA. E.g.:
america/new_york -> America/New_York
"""
import re
# The magic in the regex is that it splits by either / OR _ OR -
# where the | are OR; and then the parens ( ) keep the splitting
# entries in the list so that we can join later
normal = ''.join(x.capitalize() for x in re.split('(/|_|-)', query))
logger.debug("Normalized timezone: {} -> {}".format(query, normal))
return normal
def create_if_not_exists(fname):
try:
fh = open(fname, 'r')
except FileNotFoundError:
fh = open(fname, 'w')
fh.close()
def write_to_cache(query, location):
import os
import csv
logger.debug("Writing location to cache")
with open(os.path.join("data",".cache.csv"), 'a+') as wf:
cachewriter = csv.writer(wf)
cachewriter.writerow([query,
location.latitude,
location.longitude])
def row_to_location(row):
"""
Row from a csv file to location class
"""
latitude, longitude = float(row[1]), float(row[2])
return Location(row[0], latitude, longitude)
def resolve_location_local(query):
"""
Find a location by searching in local db of countries and cities
"""
import os
import csv
from heapq import heappush, heappop
from fuzzywuzzy import fuzz
query = query.lower()
create_if_not_exists(os.path.join("data",".cache.csv"))
# location hypothesis heap
heap = []
for fname in [".cache", "countries", "cities"]:
with open(os.path.join("data", "{}.csv".format(fname))) as f:
cfile = csv.reader(f)
for row in cfile:
entry = row[0]
if fname == ".cache" and entry == query:
location = row_to_location(row)
logger.debug("Location (from cache): {}".format(location))
return location
fuzz_ratio = fuzz.ratio(query, entry)
if fuzz_ratio > FUZZ_THRESHOLD:
location = row_to_location(row)
logger.debug("Location hyp ({} {}): {}".format(fuzz_ratio, fname, location))
# need to push negative result as heapq is min heap
heappush(heap, (-fuzz_ratio, location))
try:
result = heappop(heap)
except IndexError:
logger.critical("Could not find location {}".format(query))
exit(1)
ratio, location = result
logger.debug("Location result ({}): {}".format(-ratio, location))
write_to_cache(query, location)
return location
def resolve_location_remote(query):
import random
import string
from geopy.geocoders import Nominatim
from geopy.exc import GeocoderTimedOut
from timezonefinder import TimezoneFinder
user_agent = ''.join(random.choices(string.ascii_uppercase + string.digits, k=20))
geolocator = Nominatim(user_agent=user_agent)
try:
location = geolocator.geocode(human_tz)
location = geolocator.geocode(query)
write_to_cache(query, location)
return location
except GeocoderTimedOut:
print("Timed out resolving location. Try specifying a timezone directly", file=sys.stderr)
logger.critical("Timed out resolving location. Try specifying a timezone directly")
exit(1)
tzf = TimezoneFinder()
loc_tz = tzf.timezone_at(lng=location.longitude, lat=location.latitude)
result = dateparser.parse(human_dt, settings={'TO_TIMEZONE': loc_tz})
def parse_query(query):
"""
Parses the user query to the datetime, tz/loc parts
"""
to_query = ' '.join(query).split(" to ")
logger.debug("to_query: {}".format(to_query))
if len(to_query) == 1:
# only datetime
human_dt, human_tz_loc = to_query[0], None
elif len(to_query) == 2:
# datetime to timezone
human_dt, human_tz_loc = to_query
else:
logger.critical("There can be only one 'to' in the query string")
exit(1)
if result is None:
print("Could not parse '{human_dt}' or '{human_tz}'".format(human_dt, human_tz), file=sys.stderr)
exit(1)
logger.debug("raw human_dt: {}".format(human_dt))
logger.debug("raw human_tz_loc: {}".format(human_tz_loc))
formatted_result = result.strftime(args.format)
print(formatted_result)
human_dt = normalize_words_to_number(human_dt)
return human_dt, human_tz_loc
def solve_query(human_dt, human_tz_loc):
try:
# first try parsing the timezone from user input
result = dateparser.parse(human_dt)
logger.debug("human_dt result: {}".format(result))
if human_tz_loc:
# if the human_tz_loc contains /, assume it's a timezone which could be
# incorrectly written with small letters - need Continent/City
if "/" in human_tz_loc:
human_tz_loc = timezone_to_normal(human_tz_loc)
isofmt = result.isoformat()
logger.debug("human_dt isofmt: {}".format(isofmt))
result = dateparser.parse(isofmt, settings={'TO_TIMEZONE': human_tz_loc})
logger.debug("human_dt to_timezone result: {}".format(result))
except UnknownTimeZoneError:
from timezonefinder import TimezoneFinder
logger.debug("No timezone: {}".format(human_tz_loc))
# if the human_tz_loc contains /, assume it's a timezone
# the timezone could still be guessed badly, attempt to get the city
# e.g.america/dallas
if "/" in human_tz_loc:
logger.debug("Assuming wrongly guessed tz {}".format(human_tz_loc))
human_tz_loc = human_tz_loc.split('/')[-1]
logger.debug("Try city {}".format(human_tz_loc))
# we don't know this timezone one, assume location
# Try to get from local file first
location = resolve_location_local(human_tz_loc)
if not location:
# finally go to remote
location = resolve_location_remote(human_tz_loc)
tzf = TimezoneFinder()
loc_tz = tzf.timezone_at(lat=location.latitude, lng=location.longitude)
logger.debug("Timezone: {}".format(loc_tz))
result = dateparser.parse(human_dt, settings={'TO_TIMEZONE': loc_tz})
return result
def format_result(result, fmt):
if result is None:
logger.critical("Could not s query")
exit(1)
logger.debug("Format: {}".format(fmt))
format_result = result.strftime(fmt)
logger.debug("Formated result: {} -> {}".format(result, format_result))
return format_result
def query_to_format_result(query, fmt=DEFAULT_FORMAT):
human_dt, human_tz_loc = parse_query(query)
result = solve_query(human_dt, human_tz_loc)
formated_result = format_result(result, fmt)
return formated_result
def main(args):
formated_result = query_to_format_result(args.query, args.format)
print(formated_result)
if __name__ == "__main__":
args = parse_args()
setup_logging_level(args.debug)
main(args)