PageIndex/tests/test_pipeline.py
mountain 4e6a13576d fix: CMYK image drop, empty-doc crash, page_index shadowing, sqlite hardening, flaky tests
Addresses items 9-13 and a/b/c/f from the max-effort review of PR #272.

- pdf.py: image colorspace check was `pix.n > 4`, which treats CMYK-without-
  alpha (n==4, same as RGBA) as not needing RGB conversion; pix.save() as .png
  then raises "unsupported colorspace", silently dropped by the surrounding
  except. Fixed to `pix.n - pix.alpha >= 4` (correctly converts CMYK, leaves
  RGBA untouched).

- pipeline.py: detect_strategy([]) (an empty/whitespace-only source file)
  returned "content_based", routing into the PDF-oriented TOC-detection
  pipeline -- wasting a real LLM call before raising IndexingError. Empty
  node lists now route to level_based, whose build_tree_from_levels([])
  returns an empty structure instantly with zero LLM calls.

- page_index.py (shim): pageindex/__init__.py binds the canonical `page_index`
  function as the package attribute, but this file is ALSO a real submodule
  of the same name -- importing it anywhere (import machinery, unconditional)
  overwrites that attribute with the module object, breaking
  `from pageindex import page_index; page_index(x)` for the rest of the
  process. Made the shim module itself callable (delegates to the real
  function via a ModuleType subclass), so whichever object ends up in that
  slot is callable regardless of import order.

- storage/sqlite.py: create_collection let a raw sqlite3.IntegrityError escape
  on a duplicate name (new CollectionAlreadyExistsError); the collections
  table's CHECK constraint only validated the name's first character (GLOB
  '*' is a wildcard, not a regex quantifier over the preceding class) --
  fixed to validate the whole string, and SQLiteStorage now also validates in
  Python (it's a public StorageEngine usable directly, bypassing
  LocalBackend's own check).

- tests/test_review_fixes_2.py: two tests used a ContentNode with no `level`
  set, so build_index took the content_based path and made real (retried,
  slow, and -- with a valid key -- billable) LLM calls instead of testing the
  text-stripping logic they claimed to. Mocked out _content_based_pipeline.

- retrieve.py: _parse_pages/_get_pdf_page_content were independent copies of
  the canonical parse_pages/get_pdf_page_content that had already drifted
  (missing the p>=1 filter and 1000-page DoS cap) -- delegate to canonical
  now, so the legacy pageindex.get_page_content path can't silently regress
  again.

- parser/markdown.py: a leading UTF-8 BOM broke first-header detection
  (not whitespace, .strip() doesn't remove it) -- decode utf-8-sig. Only
  backtick fences were recognized as code blocks, so a '#'-prefixed line
  inside a ~~~-fenced block (valid CommonMark) was misparsed as a heading --
  recognize both fence styles.

- run_pageindex.py: --if-thinning wasn't migrated to the bare-flag +
  legacy-yes/no convention the other four --if-add-* flags got; bare usage
  raised an argparse error and it never went through the shared coercion.

- types.py: DocumentDetail's `structure` field was inside the class's
  total=False body, so TypedDict rules made it optional even though every
  backend always populates it. Split into a required base class.

Adds regression tests for all of the above. Full suite: 244 passed, 2 skipped
(one pre-existing, unrelated flaky cloud-streaming test).

Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
2026-07-09 11:58:59 +08:00

193 lines
7.7 KiB
Python

# tests/sdk/test_pipeline.py
import asyncio
from unittest.mock import patch, AsyncMock
from pageindex.parser.protocol import ContentNode, ParsedDocument
from pageindex.index.pipeline import (
detect_strategy, build_tree_from_levels, build_index,
_content_based_pipeline, _NullLogger,
)
def test_detect_strategy_with_level():
nodes = [
ContentNode(content="# Intro", tokens=10, title="Intro", index=1, level=1),
ContentNode(content="## Details", tokens=10, title="Details", index=5, level=2),
]
assert detect_strategy(nodes) == "level_based"
def test_detect_strategy_without_level():
nodes = [
ContentNode(content="Page 1 text", tokens=100, index=1),
ContentNode(content="Page 2 text", tokens=100, index=2),
]
assert detect_strategy(nodes) == "content_based"
def test_detect_strategy_empty_nodes_is_level_based():
"""An empty node list (e.g. an empty/whitespace-only source file) must
route to level_based, whose build_tree_from_levels([]) returns an empty
structure with zero LLM calls — not content_based, whose TOC-detection
pipeline needs real page content and wastes an LLM call before failing."""
assert detect_strategy([]) == "level_based"
def test_build_index_on_empty_document_makes_no_llm_calls():
from pageindex.config import IndexConfig
parsed = ParsedDocument(doc_name="empty", nodes=[])
opt = IndexConfig(if_add_node_summary=False, if_add_doc_description=False)
result = build_index(parsed, opt=opt)
assert result == {"doc_name": "empty", "structure": []}
def test_build_tree_from_levels():
nodes = [
ContentNode(content="ch1 text", tokens=10, title="Chapter 1", index=1, level=1),
ContentNode(content="s1.1 text", tokens=10, title="Section 1.1", index=5, level=2),
ContentNode(content="s1.2 text", tokens=10, title="Section 1.2", index=10, level=2),
ContentNode(content="ch2 text", tokens=10, title="Chapter 2", index=20, level=1),
]
tree = build_tree_from_levels(nodes)
assert len(tree) == 2 # 2 root nodes (chapters)
assert tree[0]["title"] == "Chapter 1"
assert len(tree[0]["nodes"]) == 2 # 2 sections under chapter 1
assert tree[0]["nodes"][0]["title"] == "Section 1.1"
assert tree[0]["nodes"][1]["title"] == "Section 1.2"
assert tree[1]["title"] == "Chapter 2"
assert len(tree[1]["nodes"]) == 0
def test_build_tree_from_levels_single_level():
nodes = [
ContentNode(content="a", tokens=5, title="A", index=1, level=1),
ContentNode(content="b", tokens=5, title="B", index=2, level=1),
]
tree = build_tree_from_levels(nodes)
assert len(tree) == 2
assert tree[0]["title"] == "A"
assert tree[1]["title"] == "B"
def test_build_tree_from_levels_deep_nesting():
nodes = [
ContentNode(content="h1", tokens=5, title="H1", index=1, level=1),
ContentNode(content="h2", tokens=5, title="H2", index=2, level=2),
ContentNode(content="h3", tokens=5, title="H3", index=3, level=3),
]
tree = build_tree_from_levels(nodes)
assert len(tree) == 1
assert tree[0]["title"] == "H1"
assert len(tree[0]["nodes"]) == 1
assert tree[0]["nodes"][0]["title"] == "H2"
assert len(tree[0]["nodes"][0]["nodes"]) == 1
assert tree[0]["nodes"][0]["nodes"][0]["title"] == "H3"
def test_content_based_pipeline_does_not_raise():
"""_content_based_pipeline should delegate to tree_parser, not raise NotImplementedError."""
fake_tree = [{"title": "Intro", "start_index": 1, "end_index": 2, "nodes": []}]
async def fake_tree_parser(page_list, opt, doc=None, logger=None):
return fake_tree
page_list = [("Page 1 text", 50), ("Page 2 text", 60)]
from types import SimpleNamespace
opt = SimpleNamespace(model="test-model")
with patch("pageindex.index.page_index.tree_parser", new=fake_tree_parser):
result = asyncio.run(_content_based_pipeline(page_list, opt))
assert result == fake_tree
def test_null_logger_methods():
"""NullLogger should have info/error/debug and not raise."""
logger = _NullLogger()
logger.info("test message")
logger.error("test error")
logger.debug("test debug")
logger.info({"key": "value"})
def _structure_has_text(nodes) -> bool:
for n in nodes:
if "text" in n:
return True
if n.get("nodes") and _structure_has_text(n["nodes"]):
return True
return False
def test_level_based_strips_text_by_default():
"""Markdown (level_based) must honor if_add_node_text=False — build_tree_from_
levels seeds 'text', and it used to leak into the output/storage."""
from pageindex.config import IndexConfig
nodes = [
ContentNode(content="# Intro\nbody one", tokens=5, title="Intro", index=1, level=1),
ContentNode(content="## Sub\nbody two", tokens=5, title="Sub", index=2, level=2),
]
parsed = ParsedDocument(doc_name="d", nodes=nodes)
# No summary/description -> no LLM calls.
opt = IndexConfig(if_add_node_summary=False, if_add_doc_description=False,
if_add_node_text=False)
result = build_index(parsed, opt=opt)
assert not _structure_has_text(result["structure"])
def test_level_based_keeps_text_when_requested():
from pageindex.config import IndexConfig
nodes = [ContentNode(content="# Intro\nbody", tokens=5, title="Intro", index=1, level=1)]
parsed = ParsedDocument(doc_name="d", nodes=nodes)
opt = IndexConfig(if_add_node_summary=False, if_add_doc_description=False,
if_add_node_text=True)
result = build_index(parsed, opt=opt)
assert _structure_has_text(result["structure"])
def test_build_index_scopes_llm_params_to_the_call(monkeypatch):
"""IndexConfig(llm_params=...) must reach get_llm_params() for the duration
of this build_index() call only, and not leak into the process default."""
from pageindex.config import IndexConfig, get_llm_params, set_llm_params
set_llm_params(temperature=0)
seen = {}
async def fake_generate_summaries(structure, model=None):
seen["llm_params"] = get_llm_params()
monkeypatch.setattr(
"pageindex.index.utils.generate_summaries_for_structure",
fake_generate_summaries,
)
# level_based (Markdown) strategy avoids the content_based path's own real
# LLM-driven TOC detection, so this stays a fast, network-free unit test.
nodes = [ContentNode(content="# Intro\nbody", tokens=5, title="Intro", index=1, level=1)]
parsed = ParsedDocument(doc_name="d", nodes=nodes)
opt = IndexConfig(if_add_node_summary=True, if_add_doc_description=False,
llm_params={"temperature": 1})
build_index(parsed, opt=opt)
assert seen["llm_params"]["temperature"] == 1 # scoped override was in effect
assert get_llm_params()["temperature"] == 0 # process default untouched afterward
def test_check_title_appearance_tolerates_out_of_range_physical_index():
"""An LLM-emitted physical_index outside page_list must be marked 'no', not
raise IndexError (which happens during task construction, outside the
gather's return_exceptions protection, and would abort the whole build)."""
from pageindex.index.page_index import check_title_appearance_in_start_concurrent
page_list = [("only page text", 3)] # length 1
structure = [
{"title": "A", "physical_index": 5}, # out of range -> would IndexError
{"title": "B", "physical_index": 0}, # 0 -> would wrap to page_list[-1]
{"title": "C", "physical_index": None}, # missing
{"title": "D"}, # no physical_index key at all
]
result = asyncio.run(
check_title_appearance_in_start_concurrent(structure, page_list)
)
assert all(item["appear_start"] == "no" for item in result)