fix(corpus): harden canonical chunk and frontmatter invariants

.superpowers/sdd/evidence-task-3-report.md

@@ -37,3 +37,23 @@
   configuration before ingestion is wired.
 - Character limits use Python Unicode code points (`len`), not UTF-8 bytes or tokenizer tokens;
   this is recorded in the chunk-policy metadata and tested with non-ASCII content.
+
+## Review hardening follow-up
+
+- Chunk IDs now bind the canonical document identity, document content hash, ordinal, chunk hash,
+  and a canonical SHA-256 fingerprint of every `ChunkPolicy` field. Identical content in separate
+  documents and same-version policies with different limits cannot collide.
+- Boundary-aware slicing now retains separators in the slices. Concatenating every chunk exactly
+  reconstructs the canonical document for repeated spaces, tabs, blank lines, Markdown hard
+  breaks, fenced code, whitespace-only input, Unicode, and overlong tokens; every slice remains
+  within `max_chars`.
+- Frontmatter uses a bounded `SafeLoader` variant: duplicate keys, anchors/aliases, structures
+  deeper than 20 nodes, and documents larger than 1000 composed nodes are rejected. YAML parse,
+  JSON type, credential-safety, and resulting canonical-model errors attributable to frontmatter
+  map to `PermanentNormalizationError(reason="invalid_frontmatter")`; invalid pipeline policy
+  remains a programmer-facing `ValueError`.
+- Follow-up TDD evidence: the expanded focused suite first reported 11 expected failures against
+  the prior implementation, then passed **45/45** across normalization, chunking, and manifest
+  invariants.
+- Follow-up full verification: **586 passed, 5 deselected**. Targeted Ruff is clean. Full Ruff
+  continues to report the same **34 unrelated pre-existing** violations in legacy tests.

harness/tests/test_corpus_chunk.py

@@ -3,7 +3,7 @@ import hashlib
 import pytest
 
 from tht.corpus.chunk import ChunkPolicy, chunk
-from tht.corpus.models import CanonicalDocument
+from tht.corpus.models import CanonicalDocument, CorpusManifest
 
 
 def document(content: str) -> CanonicalDocument:
@@ -23,6 +23,16 @@ def document(content: str) -> CanonicalDocument:
     )
 
 
+def other_document(content: str) -> CanonicalDocument:
+    return document(content).model_copy(
+        update={
+            "document_id": "doc:def",
+            "source_id": "source:b",
+            "source_uri": "https://host/b.md",
+        }
+    )
+
+
 def test_chunk_ids_are_stable_for_same_content_and_repeat_runs():
     policy = ChunkPolicy(version="paragraph:v1", max_chars=8)
     first = chunk(document("A\n\nB"), policy)
@@ -39,12 +49,47 @@ def test_policy_version_changes_ids_without_changing_boundaries():
     assert [item.chunk_id for item in first] != [item.chunk_id for item in second]
 
 
+def test_same_policy_version_with_different_boundary_config_changes_ids():
+    doc = document("alpha beta")
+    first = chunk(doc, ChunkPolicy(version="paragraph:v1", max_chars=6))
+    second = chunk(doc, ChunkPolicy(version="paragraph:v1", max_chars=7))
+    assert first[0].chunk_id != second[0].chunk_id
+
+
+def test_identical_content_in_different_documents_cannot_collide_in_manifest():
+    policy = ChunkPolicy(version="paragraph:v1", max_chars=20)
+    first = document("same")
+    second = other_document("same")
+    chunks = [*chunk(first, policy), *chunk(second, policy)]
+    manifest = CorpusManifest(
+        pipeline_version="pipe:v1", documents=[first, second], chunks=chunks
+    )
+    assert len({item.chunk_id for item in manifest.chunks}) == 2
+
+
 def test_long_non_ascii_tokens_are_hard_split_by_unicode_characters():
     chunks = chunk(document("ééééé世界"), ChunkPolicy(version="chars:v1", max_chars=3))
     assert [item.content for item in chunks] == ["ééé", "éé世", "界"]
     assert all(len(item.content) <= 3 for item in chunks)
 
 
+@pytest.mark.parametrize(
+    "content",
+    [
+        "alpha  beta\tgamma\n\ndelta",
+        "line with markdown hard break  \nnext line\n```\na  b\n```",
+        " \t\n\n  \n",
+        "supercalifragilisticexpialidocious",
+        "é  世界\r\nnext",
+    ],
+)
+def test_chunks_preserve_every_character_and_respect_max_chars(content):
+    doc = document(content)
+    chunks = chunk(doc, ChunkPolicy(version="exact:v1", max_chars=9))
+    assert "".join(item.content for item in chunks) == doc.content
+    assert all(0 < len(item.content) <= 9 for item in chunks)
+
+
 def test_chunks_have_contiguous_ordinals_hashes_and_provenance_metadata():
     doc = document("alpha beta gamma")
     chunks = chunk(doc, ChunkPolicy(version="words:v1", max_chars=7))
@@ -54,13 +99,15 @@ def test_chunks_have_contiguous_ordinals_hashes_and_provenance_metadata():
         assert item.source_uri == doc.source_uri
         assert item.document_id == doc.document_id
         assert item.pipeline_version == doc.pipeline_version
-        assert item.metadata["chunk_policy"] == {"max_chars": 7, "version": "words:v1"}
+        assert item.metadata["chunk_policy"]["max_chars"] == 7
+        assert item.metadata["chunk_policy"]["version"] == "words:v1"
+        assert item.metadata["chunk_policy"]["fingerprint"].startswith("sha256:")
         assert item.metadata["document"] == {"owner": "docs"}
         assert item.content_hash == "sha256:" + hashlib.sha256(item.content.encode()).hexdigest()
 
 
 def test_duplicate_chunk_content_cannot_collide_across_ordinals():
-    chunks = chunk(document("same\n\nsame"), ChunkPolicy(version="paragraph:v1", max_chars=8))
+    chunks = chunk(document("samesame"), ChunkPolicy(version="paragraph:v1", max_chars=4))
     assert [item.content for item in chunks] == ["same", "same"]
     assert chunks[0].chunk_id != chunks[1].chunk_id
 

harness/tests/test_corpus_normalize.py

@@ -52,6 +52,29 @@ def test_frontmatter_can_end_at_eof_without_inventing_content():
     assert document.content == ""
 
 
+@pytest.mark.parametrize(
+    "frontmatter",
+    [
+        "title: first\ntitle: second",
+        "title: &shared value\ncopy: *shared",
+        "nested: " + "[" * 25 + "x" + "]" * 25,
+        "items: [" + ",".join("x" for _ in range(1100)) + "]",
+        "api_key: secret",
+    ],
+)
+def test_rejects_unsafe_frontmatter_as_typed_permanent_error(frontmatter):
+    raw = f"---\n{frontmatter}\n---\nbody".encode()
+    with pytest.raises(PermanentNormalizationError) as caught:
+        normalize(acquired(raw), "pipe:v1")
+    assert caught.value.reason == "invalid_frontmatter"
+
+
+def test_pipeline_policy_errors_are_not_misclassified_as_bad_frontmatter():
+    with pytest.raises(ValueError, match="pipeline_version") as caught:
+        normalize(acquired(b"---\ntitle: valid\n---\nbody"), "")
+    assert not isinstance(caught.value, PermanentNormalizationError)
+
+
 @pytest.mark.parametrize(
     ("content", "media_type", "reason"),
     [

harness/tht/corpus/chunk.py

@@ -1,8 +1,9 @@
 """Versioned deterministic chunking for canonical corpus documents."""
 
 import hashlib
+import json
 import re
-from dataclasses import dataclass
+from dataclasses import asdict, dataclass
 
 from tht.corpus.models import CanonicalChunk, CanonicalDocument
 
@@ -23,62 +24,56 @@ def _hash(text: str) -> str:
     return hashlib.sha256(text.encode("utf-8")).hexdigest()
 
 
-def _hard_split(text: str, maximum: int) -> list[str]:
-    return [text[start : start + maximum] for start in range(0, len(text), maximum)]
-
-
-def _split_block(block: str, maximum: int) -> list[str]:
-    if len(block) <= maximum:
-        return [block]
-    tokens = re.findall(r"\S+", block)
-    chunks: list[str] = []
-    current = ""
-    for token in tokens:
-        if len(token) > maximum:
-            if current:
-                chunks.append(current)
-                current = ""
-            chunks.extend(_hard_split(token, maximum))
-            continue
-        candidate = f"{current} {token}" if current else token
-        if len(candidate) <= maximum:
-            current = candidate
-        else:
-            chunks.append(current)
-            current = token
-    if current:
-        chunks.append(current)
-    return chunks
-
-
 def _contents(content: str, maximum: int) -> list[str]:
-    if not content:
-        return []
     result: list[str] = []
-    for block in re.split(r"\n{2,}", content):
+    start = 0
-        if block:
+    while start < len(content):
-            result.extend(_split_block(block, maximum))
+        end = min(start + maximum, len(content))
+        if end < len(content):
+            boundaries = list(re.finditer(r"\s+", content[start:end]))
+            if boundaries:
+                end = start + boundaries[-1].end()
+        result.append(content[start:end])
+        start = end
     return result
 
 
+def _policy_fingerprint(policy: ChunkPolicy) -> str:
+    serialized = json.dumps(asdict(policy), ensure_ascii=False, sort_keys=True, separators=(",", ":"))
+    return f"sha256:{_hash(serialized)}"
+
+
 def chunk(document: CanonicalDocument, policy: ChunkPolicy) -> list[CanonicalChunk]:
     """Split canonical text with stable character-count boundaries and identifiers."""
     chunks: list[CanonicalChunk] = []
+    policy_fingerprint = _policy_fingerprint(policy)
     for ordinal, content in enumerate(_contents(document.content, policy.max_chars)):
-        identifier = _hash(f"{document.content_hash}:{ordinal}:{policy.version}")
+        chunk_hash = f"sha256:{_hash(content)}"
+        identifier = _hash(
+            ":".join(
+                (
+                    document.document_id,
+                    document.content_hash,
+                    policy_fingerprint,
+                    str(ordinal),
+                    chunk_hash,
+                )
+            )
+        )
         chunks.append(
             CanonicalChunk(
                 chunk_id=f"chunk:{identifier}",
                 document_id=document.document_id,
                 ordinal=ordinal,
                 content=content,
-                content_hash=f"sha256:{_hash(content)}",
+                content_hash=chunk_hash,
                 source_uri=document.source_uri,
                 pipeline_version=document.pipeline_version,
                 metadata={
                     "chunk_policy": {
                         "version": policy.version,
                         "max_chars": policy.max_chars,
+                        "fingerprint": policy_fingerprint,
                     },
                     "document": document.model_dump(mode="json")["metadata"],
                     "source_fingerprint": document.source_fingerprint,

harness/tht/corpus/normalize.py

@@ -7,6 +7,8 @@ from collections.abc import Mapping
 
 import yaml
 from pydantic import JsonValue, TypeAdapter, ValidationError
+from yaml.events import AliasEvent
+from yaml.nodes import MappingNode
 
 from tht.corpus.models import CanonicalDocument
 from tht.ports.evidence import AcquiredDocument, canonical_provenance_uri
@@ -16,6 +18,47 @@ MAX_DOCUMENT_BYTES = 10 * 1024 * 1024
 _CHARSET = re.compile(r"(?:^|;)\s*charset\s*=\s*[\"']?([^;\s\"']+)", re.IGNORECASE)
 _FRONTMATTER = re.compile(r"\A---\n(.*?)\n---(?:\n|\Z)", re.DOTALL)
 _JSON_OBJECT = TypeAdapter(dict[str, JsonValue])
+_MAX_FRONTMATTER_DEPTH = 20
+_MAX_FRONTMATTER_NODES = 1000
+
+
+class _FrontmatterLoader(yaml.SafeLoader):
+    """SafeLoader with bounded structure and no YAML graph features."""
+
+    def __init__(self, stream) -> None:
+        super().__init__(stream)
+        self._depth = 0
+        self._nodes = 0
+
+    def compose_node(self, parent, index):
+        event = self.peek_event()
+        if isinstance(event, AliasEvent) or getattr(event, "anchor", None) is not None:
+            raise yaml.constructor.ConstructorError(None, None, "aliases are not allowed")
+        self._depth += 1
+        self._nodes += 1
+        if self._depth > _MAX_FRONTMATTER_DEPTH or self._nodes > _MAX_FRONTMATTER_NODES:
+            raise yaml.constructor.ConstructorError(None, None, "frontmatter is too complex")
+        try:
+            return super().compose_node(parent, index)
+        finally:
+            self._depth -= 1
+
+    def construct_mapping(self, node, deep=False):
+        if not isinstance(node, MappingNode):
+            return super().construct_mapping(node, deep=deep)
+        seen: set[object] = set()
+        for key_node, _ in node.value:
+            key = self.construct_object(key_node, deep=deep)
+            try:
+                duplicate = key in seen
+                seen.add(key)
+            except TypeError as error:
+                raise yaml.constructor.ConstructorError(
+                    None, None, "mapping keys must be scalar"
+                ) from error
+            if duplicate:
+                raise yaml.constructor.ConstructorError(None, None, "duplicate mapping key")
+        return super().construct_mapping(node, deep=deep)
 
 
 class PermanentNormalizationError(ValueError):
@@ -55,7 +98,7 @@ def _frontmatter(text: str) -> tuple[dict[str, JsonValue], str]:
     if match is None:
         return {}, text
     try:
-        loaded = yaml.safe_load(match.group(1))
+        loaded = yaml.load(match.group(1), Loader=_FrontmatterLoader)
         if loaded is None:
             loaded = {}
         if not isinstance(loaded, Mapping):
@@ -84,16 +127,21 @@ def normalize(acquired: AcquiredDocument, pipeline_version: str) -> CanonicalDoc
     if frontmatter:
         metadata["frontmatter"] = frontmatter
 
-    return CanonicalDocument(
+    try:
-        document_id=f"doc:{_sha256(identity)}",
+        return CanonicalDocument(
-        source_id=acquired.source.source_id,
+            document_id=f"doc:{_sha256(identity)}",
-        source_uri=source_uri,
+            source_id=acquired.source.source_id,
-        source_fingerprint=acquired.source.fingerprint,
+            source_uri=source_uri,
-        content_hash=f"sha256:{_sha256(content)}",
+            source_fingerprint=acquired.source.fingerprint,
-        title=str(frontmatter.get("title", "")),
+            content_hash=f"sha256:{_sha256(content)}",
-        content=content,
+            title=str(frontmatter.get("title", "")),
-        media_type=media_type,
+            content=content,
-        modified_at=acquired.source.modified_at,
+            media_type=media_type,
-        pipeline_version=pipeline_version,
+            modified_at=acquired.source.modified_at,
-        metadata=metadata,
+            pipeline_version=pipeline_version,
-    )
+            metadata=metadata,
+        )
+    except ValidationError as error:
+        if frontmatter:
+            raise PermanentNormalizationError("invalid_frontmatter") from error
+        raise