Metadata Filtering

import asyncio
from datetime import datetime
from moss import DocumentInfo, MossClient, QueryOptions

async def main():
    client = MossClient(MOSS_PROJECT_ID, MOSS_PROJECT_KEY)

    docs = [
        DocumentInfo(id="doc1", text="Running shoes with breathable mesh for daily training.",
                     metadata={"category": "shoes", "price": "79", "city": "new-york",
                               "location": "40.7580,-73.9855"}),
        DocumentInfo(id="doc2", text="Trail running shoes built for rocky terrain.",
                     metadata={"category": "shoes", "price": "149", "city": "seattle",
                               "location": "47.6062,-122.3321"}),
        DocumentInfo(id="doc3", text="Lightweight city backpack with laptop compartment.",
                     metadata={"category": "bags", "price": "95", "city": "new-york",
                               "location": "40.7505,-73.9934"}),
    ]

    index = f"catalog-{datetime.now():%Y%m%d-%H%M%S}"
    await client.create_index(index, docs)
    await client.load_index(index)   # required before filtering

    # $eq - a single condition needs no wrapper
    await client.query(index, "running gear",
        QueryOptions(top_k=5, filter={"field": "category", "condition": {"$eq": "shoes"}}))

    # $and - shoes under $100
    await client.query(index, "running shoes",
        QueryOptions(top_k=5, alpha=0.6, filter={"$and": [
            {"field": "category", "condition": {"$eq": "shoes"}},
            {"field": "price",    "condition": {"$lt": "100"}},
        ]}))

    # $in - city in a set
    await client.query(index, "city essentials",
        QueryOptions(top_k=5, filter={"field": "city", "condition": {"$in": ["new-york"]}}))

    # $near - within 5km of Times Square
    await client.query(index, "city products",
        QueryOptions(top_k=5, filter={"field": "location",
                                      "condition": {"$near": "40.7580,-73.9855,5000"}}))

asyncio.run(main())