Regular Expression

About Regular Expression Matcher

This matcher matches the message from the user against a regular expression.

You can specify to the regex matcher which kind of matching you want to apply through the matching_condition kwarg (match matching is the default). This kwarg should give you more control on how to use the regex matcher.

Matching conditions:

  • search - Scans through the string looking for the first location where the regular expression pattern produces a match.

  • match - Scans through the string looking at the beginning of the string to match the regular expression pattern.

  • fullmatch - Scans and checks if the whole string matches the regular expression pattern.

opsdroid.matchers.match_regex(regex, case_sensitive=True, matching_condition='match', score_factor=None)

Return regex match decorator.

Decorator used to handle regex matching in skills. Decorated function will be called if regex string matches. Matching can be customized based on the matching condition passed.

Parameters
  • regex (str) – Regex expression as a string.

  • case_sensitive (bool) – Flag to check for case sensitive matching, defaults to True.

  • matching_condition (str) – Type of matching to be applied, can be “search”, “match” or “fullmatch”

  • score_factor (float) – Score multiplier used by Rasa NLU skills

Returns

Decorated function

Example 1 - Search condition

Let’s use the following hello skill with the kwarg matching_condition="search".

from opsdroid.matchers import match_regex
import random

@match_regex(r'hi|hello|hey|hallo', case_sensitive=False, matching_condition="search")
async def hello(opsdroid, config, message):
    text = random.choice(["Hi {}", "Hello {}", "Hey {}"]).format(message.user)
    await message.respond(text)

When we run opsdroid and send the message “Hi opsdroid” opsdroid will match the hello to the skill and reply immediately.

[6:13:11 PM] HichamTerkiba:
Hi opsdroid

[6:13:12 PM] opsdroid:
Hi HichamTerkiba

Example 2 - match condition

Let’s use the following hello skill with the kwarg matching_condition="match".

from opsdroid.matchers import match_regex
import random

@match_regex(r'hi|hello|hey|hallo', case_sensitive=False, matching_condition="match")
async def hello(opsdroid, config, message):
    text = random.choice(["Hi {}", "Hello {}", "Hey {}"]).format(message.user)
    await message.respond(text)

With the matching condition kwarg set to match, opsdroid will only trigger the skill if Hi* is present at the beginning of the message.

[6:13:11 PM] HichamTerkiba:
Hi opsdroid

[6:13:12 PM] opsdroid:
Hi HichamTerkiba

[6:13:11 PM] HichamTerkiba:
I said Hi opsdroid

<No reply from opsdroid>

Example 3 - fullmatch condition

Let’s use the following hello skill with the kwarg matching_condition="fullmatch".

from opsdroid.matchers import match_regex
import random

@match_regex(r'hi|hello|hey|hallo', case_sensitive=False, matching_condition="fullmatch")
async def hello(opsdroid, config, message):
    text = random.choice(["Hi {}", "Hello {}", "Hey {}"]).format(message.user)
    await message.respond(text)

With the matching condition to fullmatch, opsdroid will only trigger the skill if the whole message matches the pattern.

[6:13:11 PM] HichamTerkiba:
Hi

[6:13:12 PM] opsdroid:
Hi HichamTerkiba

[6:13:11 PM] HichamTerkiba:
Hi!

<No reply from opsdroid>

Message entities

Named Groups

Regular expressions may use named groups, which allow you to capture substrings of interest as well as group and structure the regular expression itself. You can give the groups names to retrieve them later.

from opsdroid.skill import Skill
from opsdroid.matchers import match_regex

class MySkill(Skill):
    @match_regex('my name is (?P<name>\w+) and my wife is called (?P<wife>\w+) and my son is called (?P<son>\w+)')
    async def my_name_is(self, message):
        name = message.entities['name']['value']
        wife = message.entities['wife']['value']
        son = message.entities['son']['value']

The above example gives each group a name and retrieves each group by using their respective names. This is the recommended approach to using groups since it will simplify entity retrieval.

Score factor

The regex parser scores a match based on how long the format string was. It’s non-trivial to decide how good a match is against something as basic as a format string, so length is our best proxy.

In case the regular expression is too greedy with matches there is also a score factor which defaults to 0.6. This means a regex match cannot score higher than 0.6, however you can use the keyword argument score_factor in parse format skills to modify the score calculation.

Example

from opsdroid.skill import Skill
from opsdroid.matchers import match_regex

class MySkill(Skill):
    @match_regex('ping', score_factor=0.9)
    async def ping(self, message):
        await message.respond('pong')

In this example, the evaluated score of ping skill will be multiplied by 0.9 instead of 0.6.