I'm using ndb.Model.
The Search API has the following field classes:
TextField : plain text
HtmlField : HTML formatted text
AtomField : a string which is treated as a single token
NumberField : a numeric value (either float or integer)
DateField : a date with no time component
GeoField : a locale based on latitude and longitude
Suppose I have a 'tags' field which is a list field:
tags = ndb.StringProperty(repeated=True)
How am I supposed to treat this field with search.Document
?
Right now I'm turning tags
list into a string:
t = '|'.join(tags)
And then:
search.TextField(name=cls.TAGS, value=t)
Any suggestions?
Use unique identifiers for each "tag". Then you can create a document like:
doc = search.Document(fields=[
search.TextField(name='tags', value='tag1 tag2 tag3'),
])
search.Index(name='tags').put(doc)
You can even use numbers (ids) as strings:
doc = search.Document(fields=[
search.TextField(name='tags', value='123 456 789'),
])
And query using operators as you wish:
index = search.Index(name='tags')
results = index.search('tags:(("tag1" AND "tag2") OR ("tag3" AND "tag4"))')
You should add as many fields as 'tags' you have, all with the same field_name:
doc = search.Document(fields=[
search.TextField(name='tag', value=t) for t in tags
])
As in the docs:
A field can contain only one value, which must match the field's type. Field names do not have to be unique. A document can have multiple fields with the same name and same type, which is a way to represent a field with multiple values. (However, date and number fields with the same name can't be repeated.) A document can also contain multiple fields with the same name and different field types.