test(p10-1b): per-language chunker snapshots (python/ts/js)
Mirrors code_rust_ast_snapshot pattern. In-memory CanonicalDocument build so no kebab-parse-code dep (boundary §6.3 respected). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
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crates/kebab-chunk/tests/code_python_ast_snapshot.rs
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221
crates/kebab-chunk/tests/code_python_ast_snapshot.rs
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//! Snapshot test pinning the `Vec<Chunk>` JSON for a
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//! representative Python code `CanonicalDocument`.
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//!
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//! This is an integration test. `kebab-parse-code` is intentionally NOT
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//! a dev-dep (design §6.3 / §8 boundary: AST extraction is parser-side).
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//! The `CanonicalDocument` is built inline from hand-crafted `Block::Code`
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//! units, which is the same pattern used in `code_rust_ast_v1.rs`'s
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//! internal `code_doc` test helper.
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//!
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//! Set `UPDATE_SNAPSHOTS=1` to re-bake the baseline.
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use std::path::PathBuf;
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use kebab_chunk::CodePythonAstV1Chunker;
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use kebab_core::{
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AssetId, Block, CanonicalDocument, ChunkPolicy, Chunker, ChunkerVersion, CodeBlock, CommonBlock,
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Lang, Metadata, ParserVersion, Provenance, SourceSpan, SourceType, TrustLevel, WorkspacePath,
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id_for_block, id_for_doc,
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};
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use serde_json::Value;
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use time::OffsetDateTime;
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fn fixtures_dir() -> PathBuf {
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PathBuf::from(env!("CARGO_MANIFEST_DIR"))
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.join("tests")
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.join("fixtures")
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}
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fn fixed_doc() -> CanonicalDocument {
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let wp = WorkspacePath("kebab_eval/metrics.py".into());
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let aid = AssetId("b".repeat(64));
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// Pin parser_version so doc_id / block_ids are reproducible.
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let pv = ParserVersion("code-python-v1".into());
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let doc_id = id_for_doc(&wp, &aid, &pv);
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// Build a >200-line function body to force split_oversize.
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let big_body: String = {
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let header = "def big_compute(data):\n";
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let body: String = (0..210u32)
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.map(|i| format!(" v{i} = data[{i}] if {i} < len(data) else 0\n"))
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.collect();
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let footer = " return sum(data)";
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format!("{header}{body}{footer}")
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};
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let big_line_count = big_body.lines().count() as u32;
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let big_line_end = 48 + big_line_count - 1;
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// Representative units:
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// 0. import block (lines 1–5, ≤200)
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// 1. free fn `compute_mrr` (lines 7–12, ≤200)
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// 2. class `MetricsCollector` (lines 14–20, ≤200)
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// 3. class `BaseEvaluator` (lines 22–30, ≤200)
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// 4. method `run` (lines 32–38, ≤200)
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// 5. method `report` (lines 40–46, ≤200)
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// 6. big_compute (>200 lines) to force split_oversize
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let raw_units: Vec<(&str, u32, u32, String)> = vec![
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(
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"imports",
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1,
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5,
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"import os\nimport sys\nfrom typing import List\nfrom pathlib import Path\nfrom collections import defaultdict".to_string(),
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),
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(
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"compute_mrr",
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7,
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12,
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"def compute_mrr(scores):\n if not scores:\n return 0.0\n return sum(\n 1.0 / r for r in scores\n ) / len(scores)".to_string(),
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),
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(
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"MetricsCollector",
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14,
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20,
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"class MetricsCollector:\n def __init__(self):\n self.scores = []\n self.labels = []\n self.counts = defaultdict(int)\n self.totals = defaultdict(float)\n self.tags = []".to_string(),
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),
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(
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"BaseEvaluator",
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22,
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30,
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"class BaseEvaluator:\n def evaluate(self, data):\n raise NotImplementedError\n def batch_evaluate(self, items):\n results = []\n for item in items:\n results.append(self.evaluate(item))\n return results\n def name(self):\n return type(self).__name__".to_string(),
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),
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(
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"MetricsCollector.run",
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32,
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38,
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"class MetricsCollector:\n def run(self, inputs):\n for inp in inputs:\n score = self._score(inp)\n self.scores.append(\n score\n )".to_string(),
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),
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(
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"MetricsCollector.report",
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40,
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46,
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"class MetricsCollector:\n def report(self):\n return {\n 'mean': sum(self.scores) / max(len(self.scores), 1),\n 'count': len(self.scores),\n 'tags': self.tags,\n }".to_string(),
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),
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("big_compute", 48, big_line_end, big_body),
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];
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let blocks: Vec<Block> = raw_units
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.iter()
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.enumerate()
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.map(|(i, (sym, ls, le, code))| {
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let span = SourceSpan::Code {
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line_start: *ls,
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line_end: *le,
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symbol: Some((*sym).to_string()),
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lang: Some("python".into()),
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};
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let bid = id_for_block(&doc_id, "code", &[], i as u32, &span);
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Block::Code(CodeBlock {
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common: CommonBlock {
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block_id: bid,
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heading_path: vec![],
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source_span: span,
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},
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lang: Some("python".into()),
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code: code.clone(),
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})
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})
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.collect();
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CanonicalDocument {
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doc_id,
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source_asset_id: aid,
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workspace_path: wp,
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title: "metrics.py".into(),
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lang: Lang("und".into()),
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blocks,
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metadata: Metadata {
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aliases: vec![],
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tags: vec![],
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created_at: OffsetDateTime::from_unix_timestamp(1_700_000_000).unwrap(),
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updated_at: OffsetDateTime::from_unix_timestamp(1_700_000_000).unwrap(),
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source_type: SourceType::Note,
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trust_level: TrustLevel::Primary,
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user_id_alias: None,
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user: Default::default(),
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repo: Some("kebab".into()),
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git_branch: Some("main".into()),
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git_commit: Some("0".repeat(40)),
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code_lang: Some("python".into()),
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},
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provenance: Provenance { events: vec![] },
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parser_version: pv,
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schema_version: 1,
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doc_version: 1,
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last_chunker_version: None,
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last_embedding_version: None,
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}
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}
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fn fixed_policy() -> ChunkPolicy {
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ChunkPolicy {
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target_tokens: 500,
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overlap_tokens: 80,
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respect_markdown_headings: false,
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chunker_version: ChunkerVersion("code-python-ast-v1".into()),
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}
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}
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#[test]
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fn code_python_ast_chunks_snapshot() {
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let doc = fixed_doc();
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let policy = fixed_policy();
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let chunks = CodePythonAstV1Chunker.chunk(&doc, &policy).expect("chunk");
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let actual = serde_json::to_value(&chunks).unwrap();
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let dir = fixtures_dir();
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let baseline_path = dir.join("code-sample.py.chunks.snapshot.json");
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let baseline_text = match std::fs::read_to_string(&baseline_path) {
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Ok(s) => s,
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Err(_) if std::env::var("UPDATE_SNAPSHOTS").is_ok() => {
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std::fs::create_dir_all(&dir).unwrap();
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let pretty = serde_json::to_string_pretty(&actual).unwrap();
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std::fs::write(&baseline_path, format!("{pretty}\n")).unwrap();
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return;
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}
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Err(e) => panic!(
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"missing baseline {}; run with UPDATE_SNAPSHOTS=1 to create: {e}",
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baseline_path.display()
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),
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};
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let expected: Value = serde_json::from_str(&baseline_text).expect("baseline parses as json");
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if actual != expected {
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if std::env::var("UPDATE_SNAPSHOTS").is_ok() {
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let pretty = serde_json::to_string_pretty(&actual).unwrap();
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std::fs::write(&baseline_path, format!("{pretty}\n")).unwrap();
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eprintln!("updated baseline {}", baseline_path.display());
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return;
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}
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let pretty = serde_json::to_string_pretty(&actual).unwrap();
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panic!(
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"code-python-ast-v1 chunks snapshot drift\n\
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--- expected ({}) ---\n{baseline_text}\n\
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--- actual ---\n{pretty}\n\
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If intentional, re-run with UPDATE_SNAPSHOTS=1.",
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baseline_path.display()
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);
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}
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}
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/// Determinism cross-check: re-running the same pipeline yields the same
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/// chunk_ids byte-for-byte.
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#[test]
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fn code_python_ast_chunks_are_deterministic() {
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let policy = fixed_policy();
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let baseline: Vec<String> = CodePythonAstV1Chunker
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.chunk(&fixed_doc(), &policy)
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.unwrap()
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.into_iter()
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.map(|c| c.chunk_id.0)
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.collect();
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for _ in 0..5 {
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let again: Vec<String> = CodePythonAstV1Chunker
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.chunk(&fixed_doc(), &policy)
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.unwrap()
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.into_iter()
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.map(|c| c.chunk_id.0)
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.collect();
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assert_eq!(again, baseline);
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}
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}
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