from pymilvus import MilvusClient, DataType
import numpy as np

# 1. Set up a Milvus client
client = MilvusClient(uri="http://localhost:19530")
cname = "nuggets_so400m"
ou = client.get_collection_stats(cname)

import random
vec = [random.random() for x in range(1152)]
# %%

from prettyprinter import cpprint
vec = random.
out = client.search(
        collection_name=cname,
        limit = 100,
        data=[vec],
        output_fields=["filepath", "frame_number"],
        filter='(filepath like "%2024/09/20%") or (filepath like "%2024/09/23%")'
    )



cpprint([x['entity']['filepath'] for x in out[0]])