mirror of
https://github.com/VectifyAI/PageIndex.git
synced 2026-07-15 21:11:05 +02:00
fix: six P2 correctness/robustness cleanups from the SDK review
- legacy call_llm: open AsyncOpenAI via `async with` so the client (and its HTTP connection pool) is closed instead of leaked. - LocalBackend.add_document: fail fast with CollectionNotFoundError when the collection doesn't exist, before the expensive parse + LLM index (previously the missing FK only tripped at save time, after paying for the LLM work). Also raise builtin FileNotFoundError for a missing path instead of FileTypeError (which now means only "unsupported extension"). - Collection.query(doc_ids=None): the empty-collection guard now always runs — previously it was skipped once PAGEINDEX_EXPERIMENTAL_MULTIDOC was set. A single list_documents call serves both the guard and the multi-doc warning (no separate call just to decide whether to warn). - CloudBackend.query_stream: on early consumer break / GeneratorExit, signal the background SSE thread to stop and force-close the response, so it no longer drains the whole stream in the background. Adds regression tests for each (client closed, fail-fast on unknown collection, FileNotFoundError, empty-check under the multidoc env flag, single list call, early-break thread stop). Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
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6c948a332b
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8 changed files with 128 additions and 19 deletions
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@ -344,6 +344,11 @@ class CloudBackend:
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# Queue carries QueryEvent, an Exception to re-raise, or None (end).
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queue: asyncio.Queue[QueryEvent | Exception | None] = asyncio.Queue()
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loop = asyncio.get_running_loop()
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# Set when the consumer stops early (break / GeneratorExit) so the
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# background thread stops draining the SSE stream instead of pulling
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# it to completion in the background.
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stop = threading.Event()
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resp_holder: dict[str, requests.Response] = {}
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def _put(item: QueryEvent | Exception | None) -> None:
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try:
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@ -374,6 +379,7 @@ class CloudBackend:
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stream=True,
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timeout=120,
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)
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resp_holder["resp"] = resp
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if resp.status_code != 200:
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body = resp.text[:500] if resp.text else ""
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raise CloudAPIError(
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@ -385,6 +391,8 @@ class CloudBackend:
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current_tool_args: list[str] = []
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for line in resp.iter_lines(decode_unicode=True):
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if stop.is_set():
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return # consumer abandoned the stream
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if not line or not line.startswith("data: "):
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continue
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data_str = line[6:]
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@ -439,15 +447,26 @@ class CloudBackend:
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thread = threading.Thread(target=_stream, daemon=True)
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thread.start()
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while True:
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item = await queue.get()
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if item is None:
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break
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if isinstance(item, Exception):
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raise item
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yield item
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thread.join(timeout=5)
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try:
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while True:
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item = await queue.get()
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if item is None:
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break
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if isinstance(item, Exception):
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raise item
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yield item
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finally:
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# On early break / GeneratorExit / raised error: tell the thread to
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# stop and force-close the response so a read blocked mid-stream
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# unblocks instead of draining the rest in the background.
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stop.set()
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resp = resp_holder.get("resp")
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if resp is not None:
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try:
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resp.close()
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except Exception:
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pass
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thread.join(timeout=5)
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def _get_all_doc_ids(self, collection: str) -> list[str]:
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"""Get all document IDs in a collection."""
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@ -13,7 +13,8 @@ from ..storage.protocol import StorageEngine
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from ..index.pipeline import build_index
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from ..index.utils import parse_pages, get_pdf_page_content, get_md_page_content, remove_fields
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from ..backend.protocol import AgentTools
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from ..errors import FileTypeError, DocumentNotFoundError, IndexingError, PageIndexError
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from ..errors import (FileTypeError, DocumentNotFoundError, CollectionNotFoundError,
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IndexingError, PageIndexError)
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_COLLECTION_NAME_RE = re.compile(r'^[a-zA-Z0-9_-]{1,128}$')
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@ -79,7 +80,16 @@ class LocalBackend:
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def add_document(self, collection: str, file_path: str) -> str:
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file_path = os.path.realpath(file_path)
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if not os.path.isfile(file_path):
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raise FileTypeError(f"Not a regular file: {file_path}")
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# Missing path is a file-not-found error, not an unsupported-type one.
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raise FileNotFoundError(f"No such file: {file_path}")
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# Fail fast before the expensive parse + LLM indexing if the collection
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# doesn't exist — otherwise the FK constraint only trips at save time,
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# after the LLM work (and its cost) is already spent.
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if collection not in self._storage.list_collections():
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raise CollectionNotFoundError(
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f"Collection '{collection}' does not exist; "
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f"create it first (e.g. client.collection('{collection}'))."
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)
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parser = self._resolve_parser(file_path)
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# Dedup is content-only — same file is reused regardless of IndexConfig
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@ -94,14 +94,16 @@ class Collection:
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raise ValueError(
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"doc_ids cannot be empty; pass None to query the whole collection"
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)
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if doc_ids is None and not _multidoc_acked():
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if doc_ids is None:
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# One list_documents call serves both the empty-collection guard
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# (always) and the multi-doc warning (only when not acknowledged).
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docs = self._backend.list_documents(self._name)
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if not docs:
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raise ValueError(
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f"Cannot query collection '{self._name}': it is empty. "
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"Add documents with col.add(...) first."
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)
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if len(docs) > 1:
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if len(docs) > 1 and not _multidoc_acked():
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warnings.warn(_MULTIDOC_WARNING, UserWarning, stacklevel=2)
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if stream:
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return QueryStream(self._backend, self._name, question, doc_ids)
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@ -460,12 +460,12 @@ async def call_llm(prompt, api_key, model="gpt-4.1", temperature=0):
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"""
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import openai
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client = openai.AsyncOpenAI(api_key=api_key)
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response = await client.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}],
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temperature=temperature,
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)
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async with openai.AsyncOpenAI(api_key=api_key) as client:
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response = await client.chat.completions.create(
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model=model,
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messages=[{"role": "user", "content": prompt}],
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temperature=temperature,
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)
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return response.choices[0].message.content.strip()
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@ -219,3 +219,32 @@ def test_query_uses_long_timeout_and_single_attempt(monkeypatch):
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backend.query("col", "q", doc_ids=["d1"])
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assert len(calls) == 1
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assert calls[0]["timeout"] == 300
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def test_query_stream_early_break_stops_background_thread(monkeypatch):
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"""Consumer breaking early must signal the SSE thread to stop, not let it
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drain the whole stream in the background."""
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import threading
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import time as _real_time # autouse fixture stubs cloud_mod.time.sleep, not this
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backend = CloudBackend(api_key="pi-test")
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drained_all = threading.Event()
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class SlowResponse:
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status_code = 200
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text = ""
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def iter_lines(self, decode_unicode=True):
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for i in range(1000):
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yield _sse("text", f"chunk{i} ")
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_real_time.sleep(0.002) # pace so the consumer reliably breaks first
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drained_all.set() # only reached if the thread was NOT stopped
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def close(self):
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pass
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monkeypatch.setattr(cloud_mod.requests, "post", lambda *a, **k: SlowResponse())
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async def _run():
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async for _ in backend.query_stream("col", "q", doc_ids=["d1"]):
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break # consume one event, then abandon
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asyncio.run(_run())
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assert not drained_all.is_set()
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@ -94,3 +94,26 @@ def test_query_accepts_str_doc_id(col):
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def test_query_rejects_empty_list(col):
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with pytest.raises(ValueError, match="cannot be empty"):
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col.query("what?", doc_ids=[])
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def test_empty_collection_check_runs_even_when_multidoc_acked(monkeypatch):
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from unittest.mock import MagicMock
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from pageindex.collection import Collection
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monkeypatch.setenv("PAGEINDEX_EXPERIMENTAL_MULTIDOC", "1")
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backend = MagicMock()
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backend.list_documents.return_value = []
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col = Collection(name="papers", backend=backend)
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with pytest.raises(ValueError, match="empty"):
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col.query("q") # doc_ids=None, collection empty -> must still raise
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def test_whole_collection_query_lists_documents_once(monkeypatch):
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from unittest.mock import MagicMock
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from pageindex.collection import Collection
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monkeypatch.setenv("PAGEINDEX_EXPERIMENTAL_MULTIDOC", "1") # silence warning path
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backend = MagicMock()
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backend.list_documents.return_value = [{"doc_id": "d1"}, {"doc_id": "d2"}]
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backend.query.return_value = "ans"
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col = Collection(name="papers", backend=backend)
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col.query("q")
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assert backend.list_documents.call_count == 1 # single call at the collection layer
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@ -75,6 +75,7 @@ def test_print_tree_keeps_legacy_exclude_fields(capsys):
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def test_call_llm_keeps_legacy_async_openai_contract(monkeypatch):
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calls = []
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closed = []
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class FakeCompletions:
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async def create(self, **kwargs):
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@ -88,6 +89,15 @@ def test_call_llm_keeps_legacy_async_openai_contract(monkeypatch):
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self.api_key = api_key
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self.chat = SimpleNamespace(completions=FakeCompletions())
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# call_llm must open the client as an async context manager so it is
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# closed (no leaked HTTP connection pool).
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async def __aenter__(self):
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return self
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async def __aexit__(self, *exc):
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closed.append(True)
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return False
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fake_openai = SimpleNamespace(AsyncOpenAI=FakeAsyncOpenAI)
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monkeypatch.setitem(sys.modules, "openai", fake_openai)
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@ -99,6 +109,7 @@ def test_call_llm_keeps_legacy_async_openai_contract(monkeypatch):
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))
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assert result == "answer"
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assert closed == [True] # client was closed
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assert calls == [{
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"model": "gpt-test",
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"messages": [{"role": "user", "content": "hello"}],
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@ -165,3 +165,18 @@ def test_delete_collection_rejects_path_traversal(backend, tmp_path):
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with pytest.raises(PageIndexError, match="Invalid collection name"):
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backend.delete_collection("../..")
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assert canary.exists()
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def test_add_document_missing_file_raises_file_not_found(backend, tmp_path):
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backend.get_or_create_collection("papers")
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with pytest.raises(FileNotFoundError):
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backend.add_document("papers", str(tmp_path / "nope.pdf"))
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def test_add_document_unknown_collection_fails_fast(backend, tmp_path):
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from pageindex.errors import CollectionNotFoundError
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pdf = tmp_path / "doc.pdf"
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pdf.write_bytes(b"%PDF-1.4")
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# Collection never created -> must raise before any parse/LLM work.
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with pytest.raises(CollectionNotFoundError, match="does not exist"):
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backend.add_document("ghost-collection", str(pdf))
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