Use python regex to catch similar strings

Question

I have 2 strings of form:

Beta_Gambus_teta_some_changeable_string_2017.02.1276 and 
Beta_Gambus_teta__some_changeable_string_update_2017.02.1276

Example:

 Beta_Gambus_teta_wqtr_2017.02.1276.ctr
 Beta_Gambus_teta_wqtr_update_2017.02.1277.ctr
 Beta_Gambus_teta_tpsedr_2017.02.1276.ctr
 Beta_Gambus_teta_tpesdr_update_2017.02.1277.ctr
 Beta_Gambus_teta_cnmsr_2018.02.1279.ctr 
 Beta_Gambus_teta_cnms_update_2018.02.1279.ctr

I need to catch with regex the ones with 'update' in them separated from the ones without 'update' in them.

I'm using ^.+_(.+)\.ctr$ but it is to broad.

Do all of the strings start with Beta_Gambus_teta ?

Tim Biegeleisen
– Tim Biegeleisen

2019-07-30 09:57:02 +00:00
Commented Jul 30, 2019 at 9:57 — Tim Biegeleisen
– Tim Biegeleisen, Commented Jul 30, 2019 at 9:57
why not do "update" in s?

Tomerikoo
– Tomerikoo

2019-07-30 09:58:45 +00:00
Commented Jul 30, 2019 at 9:58 — Tomerikoo
– Tomerikoo, Commented Jul 30, 2019 at 9:58
@TimBiegeleisen yes

user3541631
– user3541631

2019-07-30 10:01:16 +00:00
Commented Jul 30, 2019 at 10:01 — user3541631
– user3541631, Commented Jul 30, 2019 at 10:01

Tomerikoo · Accepted Answer · 2019-07-30 10:55:54Z

Unless you're not telling us something, regex is not at all needed here...

strings = ["Beta_Gambus_teta_wqtr_2017.02.1276.ctr",
           "Beta_Gambus_teta_wqtr_update_2017.02.1277.ctr",
           "Beta_Gambus_teta_tpsedr_2017.02.1276.ctr",
           "Beta_Gambus_teta_tpesdr_update_2017.02.1277.ctr",
           "Beta_Gambus_teta_cnmsr_2018.02.1279.ctr",
           "Beta_Gambus_teta_cnms_update_2018.02.1279.ctr"]

with_update = []
no_update = []
for s in strings:
    if "update" in s:
        with_update.append(s)
    else:
        no_update.append(s)

Even getting rid of the if:

res = ([], [])

for s in strings:
    res["update" in s].append(s)

no_update, with_update = res

And both gives:

>>> print(with_update)
['Beta_Gambus_teta_wqtr_update_2017.02.1277.ctr', 'Beta_Gambus_teta_tpesdr_update_2017.02.1277.ctr', 'Beta_Gambus_teta_cnms_update_2018.02.1279.ctr']
>>> print(no_update)
['Beta_Gambus_teta_wqtr_2017.02.1276.ctr', 'Beta_Gambus_teta_tpsedr_2017.02.1276.ctr', 'Beta_Gambus_teta_cnmsr_2018.02.1279.ctr']

Tim Biegeleisen · Accepted Answer · 2019-07-30 10:03:00Z

1

You may try using the following pattern for the update match:

Beta_Gambus_teta_[^_]+_update_\d{4}\.\d{2}\.\d{4}\.ctr

and use this pattern for the non update match:

Beta_Gambus_teta_[^_]+_\d{4}\.\d{2}\.\d{4}\.ctr

Sample script:

path = "Beta_Gambus_teta_wqtr_update_2017.02.1277.ctr"
if re.search(r'Beta_Gambus_teta_[^_]+_update_\d{4}\.\d{2}\.\d{4}\.ctr', path):
    print("MATCH")

answered Jul 30, 2019 at 10:03

Tim Biegeleisen

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Comments

anubhava · Accepted Answer · 2019-07-30 10:03:29Z

1

To match strings with _update_ use:

^Beta_Gambus_teta_.*_update_\d{4}\.\d{2}\.\d{4}\.ctr$

and to match strings without _update_:

^Beta_Gambus_teta_(?!.*_update_).*_\d{4}\.\d{2}\.\d{4}\.ctr$

Here (?!.*_update_) is a negative lookahead assertion that fails the match if _update_ is found after starting Beta_Gambus_teta_ part.

answered Jul 30, 2019 at 10:03

anubhava

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2 Comments

Tim Biegeleisen Over a year ago

The relationship between the two types of paths appears to simply be that update_ is removed from the positive case.

anubhava Over a year ago

Since OP used term some_changeable_string I assume it can be anything that may or may not contain _

Carsten · Accepted Answer · 2019-07-30 09:57:11Z

0

Have you tried the following?

.+update.+

answered Jul 30, 2019 at 9:57

Carsten

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