A tool for forming a single query body for further search in Elasticsearch
Project description
Elasticsearch Query Builder
A tool for forming a single query body for further search in Elasticsearch
Features
- A single entry point for receiving a ready-made request
- Support for the most frequently used fields
- Basic normalization of input data with the ability to specify the type
- No dependencies
Installation
Requirements:
- Installed python
3.8or higher
pip install elasticsearch-query-builder
Usage
To use Elasticsearch query builder, you need to describe the inheritor class from the base builder class, and then describe the expected fields as class attributes
from elasticsearch_query_builder import ElasticsearchQueryBuilder, fields
class BookQueryBuilder(ElasticsearchQueryBuilder):
search = fields.MultiMatchElasticField(
query_type="best_fields",
fields=[
"field_1",
"field_2",
"field_3",
"obj.field_4",
]
)
with_reviews = fields.TermElasticField(
input_type=bool,
field_name="has_reviews"
)
author = fields.NestedElasticField(
path="authors",
child=fields.MatchElasticField(
input_type=str,
field_name="name"
)
)
The next step is to call the described class, passing it an object with request parameters in the constructor
...
builder = BookQueryBuilder({"search": "World", "with_reviews": "true", "author": "John Doe"})
query = builder.query
print(query)
As a result of execution, a query object will be constructed, which can be sent to Elasticsearch for search
{
"query": {
"bool": {
"must": [
{
"multi_match": {
"query": "World",
"type": "best_fields",
"fields": [
"field_1",
"field_2",
"field_3",
"obj.field_4"
]
}
},
{
"term": {
"has_reviews": true
}
},
{
"nested": {
"path": "authors",
"query": {
"match": {
"authors.name": {
"query": "John Doe"
}
}
}
}
}
]
}
}
}
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