I hereby claim:
- I am aolieman on github.
- I am alioli (https://keybase.io/alioli) on keybase.
- I have a public key ASD9fx_rJMX8LRULGEOq3ymh-4MgCDo30SsGFyj3PIH_dwo
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
The tree is searched with the proceedings input string (case-insensitive, leftmost longest-match), yielding the names that were matched. The lookup map is used to find the party identifier that corresponds with the matched name. The name is linked, unless it has already been recognized as a member's name. Another reason not to link a found name of a (single-member) party, is if it is part of a longer name, such as that of a motion or committee.
Mentions of government and parliament members in a text are found by regular expression. At least three cases can be distinguished here.
In the first two cases, the strategy is to make use of highly regular address styles that are used in parliamentary speech, and thus also in the proceedings. Some examples (in translation) are: sir, madam, member, colleague, minister, and secretary of state. Such an address is immediately followed by a member's last name. The pattern that is used to find these names needs to span as much of the name as possible, without including any other subsequent words.
// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |
Haystack provides an interface similar to Django's QuerySet
, which instead enables easy querying in one or more popular search backends. Because the Haystack SearchQuerySet
API is meant to hook up to several search backends, however, not all the functionality of the backends has been implemented in the API. In this article we show how Haystack's Elasticsearch backend can be extended with advanced querying functionality.
As an exemplary use case, we'll focus on implementing Elasticsearch's Nested Query in the SearchQuerySet
API, to enable e.g. weighted tags on documents. The usage of this extended API will be shown first, after which we'll go through the necessary implementation steps.
import search.custom_elasticsearch as ces
from files import FileObject