mirror of
https://github.com/tursodatabase/libsql.git
synced 2024-12-15 06:19:42 +00:00
37fc1a1d88
* integrate diskann to the sqlite code * cleanup code a bit and add more comments * make parsing code resilient to spaces inside FLOAT typename * fixup * fix bugs related to deletes in diskann * small cleanup * rename macro * slightly cleanup vtab code * slightly improve vectorIndex code * make code less hacky * add strange test * build bundles * return unit test for diskann pieces * add one more test * don't run search on first insertion * review fixes * disable index creation in non-normal parse modes * build bundles
82 lines
3.0 KiB
Python
Executable File
82 lines
3.0 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
|
|
import re
|
|
import struct
|
|
import argparse
|
|
import graphviz
|
|
import libsql_client
|
|
from dataclasses import dataclass
|
|
|
|
def vector_size(v_type, v_dims):
|
|
return v_dims * {"f": 4, "d": 8}[v_type]
|
|
|
|
def neighbour_metadata_offset(block_size, v_type, v_dims):
|
|
vector_sz = vector_size(v_type, v_dims)
|
|
neighbour_vector_sz = vector_size(v_type, v_dims)
|
|
max_neighbours = int((block_size - 8 - 2 - vector_sz) / (neighbour_vector_sz + 16))
|
|
return 8 + 2 + vector_sz + neighbour_vector_sz * max_neighbours
|
|
|
|
def unpack(buffer, offset, format):
|
|
result = struct.unpack_from(format, buffer=buffer, offset=offset)
|
|
return offset + struct.calcsize(format), result
|
|
|
|
@dataclass
|
|
class Block:
|
|
id: int
|
|
vector: tuple[float]
|
|
|
|
n_count: int
|
|
n_vectors: list[tuple[float]]
|
|
n_ids: list[int]
|
|
|
|
def parse_block(block, v_type, v_dims):
|
|
offset = 0
|
|
offset, (id, n_count) = unpack(block, offset, "<qh")
|
|
offset, (vector) = unpack(block, offset, "<" + v_type * v_dims)
|
|
n_vectors, n_ids = [], []
|
|
for i in range(n_count):
|
|
offset, n_vector = unpack(block, offset, "<" + v_type * v_dims)
|
|
n_vectors.append(n_vector)
|
|
offset = neighbour_metadata_offset(65536, v_type, v_dims)
|
|
for i in range(n_count):
|
|
offset, (_, n_id) = unpack(block, offset, "<qq")
|
|
n_ids.append(n_id)
|
|
return Block(id=id, vector=vector, n_count=n_count, n_vectors=n_vectors, n_ids=n_ids)
|
|
|
|
|
|
def parse(filename, shadow_idx):
|
|
suffix = '_shadow'
|
|
if not shadow_idx.endswith(suffix):
|
|
raise Exception(f'unexpected shadow table name: {shadow_idx}')
|
|
with libsql_client.create_client_sync('file:' + filename) as client:
|
|
table_name = client.execute(f'SELECT tbl_name FROM sqlite_master WHERE name = ?', [shadow_idx[:-len(suffix)]]).rows[0][0]
|
|
table_ddl = client.execute(f'SELECT sql FROM sqlite_master WHERE name = ?', [table_name]).rows[0][0]
|
|
vector_column = re.search('(FLOAT32|FLOAT64|F32_BLOB|F64_BLOB)\\((\\d+)\\)', str(table_ddl))
|
|
if vector_column:
|
|
v_type = vector_column.group(1)
|
|
v_dims = vector_column.group(2)
|
|
v_type = {"FLOAT32": "f", "F32_BLOB": "f", "FLOAT64": "d", "F64_BLOB": "d"}[v_type]
|
|
v_dims = int(v_dims)
|
|
else:
|
|
raise Exception(f'unexpected vector column type name: {table_ddl}')
|
|
|
|
result = client.execute(f'SELECT rowid, data FROM {shadow_idx}')
|
|
dot = graphviz.Digraph(comment='Index Graph')
|
|
for row in result:
|
|
block = parse_block(row['data'], v_type, v_dims)
|
|
if len(block.vector) == 2:
|
|
dot.node(f'{block.id}', pos=f"{block.vector[0] * 20},{block.vector[1] * 20}!")
|
|
for n_id in block.n_ids:
|
|
dot.edge(f'{block.id}', f'{n_id}')
|
|
print(dot.source)
|
|
|
|
def main():
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument('filename')
|
|
parser.add_argument('shadow_idx')
|
|
args = parser.parse_args()
|
|
parse(args.filename, args.shadow_idx)
|
|
|
|
if __name__ == '__main__':
|
|
main()
|