Files
Baradb/tests/test_all.nim
T
dimgigov 6935889877 feat: initial BaraDB — multimodal database engine in Nim
- LSM-Tree storage engine with WAL, bloom filter, MemTable
- BaraQL query language: lexer (80+ tokens), recursive descent parser, AST
- Vector engine: HNSW + IVF-PQ indexes, 4 distance metrics
- Graph engine: adjacency list, BFS/DFS, Dijkstra, PageRank
- Full-Text Search: inverted index, BM25 ranking, stemming, stop words
- Type system: 17 types (int/float/string/uuid/json/vector/...)
- Async TCP server
- 21 passing tests
2026-05-06 00:22:12 +03:00

238 lines
6.9 KiB
Nim

## BaraDB — Test Suite
import std/unittest
import std/tables
import barabadb/core/types
import barabadb/storage/bloom
import barabadb/storage/wal
import barabadb/storage/lsm
import barabadb/query/lexer as lex
import barabadb/query/ast
import barabadb/query/parser
import barabadb/vector/engine as vengine
import barabadb/graph/engine as gengine
import barabadb/fts/engine as fts
suite "Core Types":
test "Value creation":
let v = Value(kind: vkInt64, int64Val: 42)
check v.kind == vkInt64
check v.int64Val == 42
test "String value":
let v = Value(kind: vkString, strVal: "hello")
check v.strVal == "hello"
test "RecordId creation":
let id = newRecordId()
check uint64(id) > 0
suite "Bloom Filter":
test "Basic bloom filter operations":
var bf = newBloomFilter(1000)
let data1 = cast[seq[byte]]("hello")
let data2 = cast[seq[byte]]("world")
bf.add(data1)
bf.add(data2)
check bf.contains(data1)
check bf.contains(data2)
suite "Write-Ahead Log":
test "WAL creation":
var wal = newWriteAheadLog("/tmp/baradb_test_wal")
check wal.entryCount == 0
wal.close()
suite "LSM-Tree Storage":
test "Put and Get":
var db = newLSMTree("/tmp/baradb_test_lsm")
let key = "testkey"
let value = cast[seq[byte]]("testvalue")
db.put(key, value)
let (found, val) = db.get(key)
check found
check val == value
db.close()
test "Delete":
var db = newLSMTree("/tmp/baradb_test_lsm2")
let key = "delkey"
let value = cast[seq[byte]]("delval")
db.put(key, value)
db.delete(key)
let (found, _) = db.get(key)
check not found
db.close()
test "Contains":
var db = newLSMTree("/tmp/baradb_test_lsm3")
let key = "exists"
check not db.contains(key)
db.put(key, cast[seq[byte]]("val"))
check db.contains(key)
db.close()
suite "BaraQL Lexer":
test "Tokenize simple SELECT":
let tokens = lex.tokenize("SELECT name FROM users WHERE age > 18")
check tokens.len > 0
check tokens[0].kind == tkSelect
check tokens[1].kind == tkIdent
check tokens[1].value == "name"
check tokens[2].kind == tkFrom
check tokens[3].kind == tkIdent
check tokens[3].value == "users"
test "Tokenize string literals":
let tokens = lex.tokenize("'hello world'")
check tokens[0].kind == tkStringLit
check tokens[0].value == "hello world"
test "Tokenize operators":
let tokens = lex.tokenize("a + b * c")
check tokens[0].kind == tkIdent
check tokens[1].kind == tkPlus
check tokens[2].kind == tkIdent
check tokens[3].kind == tkStar
suite "BaraQL Parser":
test "Parse simple SELECT":
let ast = parse("SELECT name FROM users WHERE age > 18")
check ast.kind == nkStatementList
check ast.stmts.len == 1
check ast.stmts[0].kind == nkSelect
test "Parse SELECT with LIMIT":
let ast = parse("SELECT * FROM items LIMIT 10")
check ast.stmts[0].selLimit != nil
suite "Vector Engine":
test "Distance metrics":
let a = @[1.0'f32, 0.0'f32, 0.0'f32]
let b = @[0.0'f32, 1.0'f32, 0.0'f32]
let c = @[1.0'f32, 0.0'f32, 0.0'f32]
check vengine.cosineDistance(a, b) > 0.9
check vengine.cosineDistance(a, c) < 0.1
check vengine.euclideanDistance(a, b) > 1.0
check vengine.euclideanDistance(a, c) < 0.1
test "HNSW index insert and search":
var idx = vengine.newHNSWIndex(3)
vengine.insert(idx, 1, @[1.0'f32, 0.0'f32, 0.0'f32])
vengine.insert(idx, 2, @[0.0'f32, 1.0'f32, 0.0'f32])
vengine.insert(idx, 3, @[0.0'f32, 0.0'f32, 1.0'f32])
let results = vengine.search(idx, @[1.0'f32, 0.1'f32, 0.0'f32], 2)
check results.len == 2
suite "Graph Engine":
test "Add nodes and edges":
var g = gengine.newGraph()
let n1 = gengine.addNode(g, "Person", {"name": "Alice"}.toTable)
let n2 = gengine.addNode(g, "Person", {"name": "Bob"}.toTable)
let e1 = gengine.addEdge(g, n1, n2, "knows")
check gengine.nodeCount(g) == 2
check gengine.edgeCount(g) == 1
test "BFS traversal":
var g = gengine.newGraph()
let n1 = gengine.addNode(g, "A")
let n2 = gengine.addNode(g, "B")
let n3 = gengine.addNode(g, "C")
let n4 = gengine.addNode(g, "D")
discard gengine.addEdge(g, n1, n2)
discard gengine.addEdge(g, n1, n3)
discard gengine.addEdge(g, n2, n4)
let traversal = gengine.bfs(g, n1)
check traversal.len == 4
check traversal[0] == n1
test "DFS traversal":
var g = gengine.newGraph()
let n1 = gengine.addNode(g, "A")
let n2 = gengine.addNode(g, "B")
let n3 = gengine.addNode(g, "C")
discard gengine.addEdge(g, n1, n2)
discard gengine.addEdge(g, n1, n3)
let traversal = gengine.dfs(g, n1)
check traversal.len == 3
test "Shortest path":
var g = gengine.newGraph()
let n1 = gengine.addNode(g, "A")
let n2 = gengine.addNode(g, "B")
let n3 = gengine.addNode(g, "C")
discard gengine.addEdge(g, n1, n2)
discard gengine.addEdge(g, n2, n3)
let path = gengine.shortestPath(g, n1, n3)
check path.len == 3
test "PageRank":
var g = gengine.newGraph()
let n1 = gengine.addNode(g, "A")
let n2 = gengine.addNode(g, "B")
let n3 = gengine.addNode(g, "C")
discard gengine.addEdge(g, n1, n2)
discard gengine.addEdge(g, n2, n3)
discard gengine.addEdge(g, n3, n1)
let ranks = gengine.pageRank(g)
check ranks.len == 3
for nodeId, rank in ranks:
check rank > 0.0
test "Dijkstra":
var g = gengine.newGraph()
let n1 = gengine.addNode(g, "A")
let n2 = gengine.addNode(g, "B")
let n3 = gengine.addNode(g, "C")
discard gengine.addEdge(g, n1, n2, weight = 1.0)
discard gengine.addEdge(g, n2, n3, weight = 2.0)
discard gengine.addEdge(g, n1, n3, weight = 10.0)
let dists = gengine.dijkstra(g, n1)
check dists[n1] == 0.0
check dists[n2] == 1.0
check dists[n3] == 3.0
suite "Full-Text Search":
test "Tokenization":
let tokens = fts.tokenize("The quick brown fox jumps over the lazy dog")
check tokens.len > 0
check "the" notin tokens
test "Inverted index operations":
var idx = fts.newInvertedIndex()
fts.addDocument(idx, 1, "The quick brown fox")
fts.addDocument(idx, 2, "The lazy brown dog")
fts.addDocument(idx, 3, "The quick red car")
check fts.documentCount(idx) == 3
check fts.termCount(idx) > 0
test "Search results":
var idx = fts.newInvertedIndex()
fts.addDocument(idx, 1, "Nim programming language is fast")
fts.addDocument(idx, 2, "Python is popular for data science")
fts.addDocument(idx, 3, "Rust is a systems programming language")
let results = fts.search(idx, "programming language")
check results.len > 0
check results[0].score > 0
test "Document removal":
var idx = fts.newInvertedIndex()
fts.addDocument(idx, 1, "test document")
fts.addDocument(idx, 2, "another document")
check fts.documentCount(idx) == 2
fts.removeDocument(idx, 1)
check fts.documentCount(idx) == 1