Search abstraction layer
Project description
Salinic
Salinic - provides modular search. It features a unified API that allows you to plug in different search backends. Currently, it supports Xapian and Solr backends.
Usage
Declare your search schema:
from typing import Optional
from typing_extensions import Annotated
from salinic.field import IdField, KeywordField, TextField
from salinic.schema import Schema
class MyModel(Schema):
"""Index schema"""
id: Annotated[str, IdField(primary_key=True)]
user_id: str
parent_id: str
title: Annotated[str, TextField()]
text: Annotated[Optional[str], TextField()] = None
tags: Annotated[Optional[list[str]], KeywordField()] = []
Index your documents:
from salinic import IndexRW, create_engine
engine = create_engine("xapian:////search_index")
index = IndexRW(engine, schema=MyModel)
for document in all_your_documents():
model = MyModel(
id=str(document.id),
user_id=str(document.user_id),
parent_id=document.parent_id,
title=document.title,
text=document.text,
tags=document.tags
)
index.add(model)
Search your documents:
from salinic import IndexRO, create_engine
engine = create_engine("xapian:////search_index")
index = IndexRO(engine, schema=MyModel)
sq = Search(MyModel).query(" your query string ")
for found in index.search(sq):
print(found) # found is instance of MyModel
The only modification of your for changing to different search
engine backend, is the first argument of the create_engine
method e.g. from
"xapian:////search_index" to "solr://localhost:8983/my-index-name".
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