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* perf(ci): distribute unit cases and reuse security sweep connections * revert(ci): reject first speed trial after new failures * perf(ci): avoid repeated test discovery and parsing * perf(ci): isolate parallel security workers * revert(ci): restore measured security execution isolation * perf(tests): reuse source scans and deduplicate cache cleanup * perf(ci): restore parallel security with safe log batching * test(ci): isolate fixture state and schema comparisons * test(ci): make schema and scheduler fixtures deterministic * test(ci): drain queued logging before fixture teardown * test(ci): preserve logging delivery without idle worker restarts * test(ci): keep guardrail sinks available during parallel bursts * test(ci): isolate full proxy lifecycle from gateway imports * test(ci): preserve first failure responses and sweep evidence * test(ci): restore documentation URL settings between cases * test(ci): isolate open MCP tools in private gateways * test(ci): group private MCP cases and handle exited workers * test(ci): retain proxy exits and MCP failure details * test(ci): repair merge interactions with main Key the schema shard's full clone on artifact-name, since main removed the unit-flag input. Give each owned Redis its own log file again. Hand the realtime transcription tests main added a logging object whose dispatch handlers are awaitable, so the per-test logging drain no longer waits on a MagicMock task forever * perf(ci): shard owned integration cases and close lifecycle leaks * fix(ci): qualify shard execution and harden interrupted cleanup * fix(ci): bound worker supervision and own fault traffic * perf(ci): reuse unparametrized fixtures across bounded case groups * fix(ci): preserve boot fault allowances and complete exit records * test(ci): tolerate startup retries and retain readiness details * perf(ci): balance integration shards by recorded duration * fix(ci): load migration database helpers only for workers
301 lines
13 KiB
Python
301 lines
13 KiB
Python
"""The owned proxy every canary scenario runs against, with its provider and sink doubles.
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``canary_rig(root)`` starts a provider double and a ``generic_api`` sink double, writes an owned
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config derived from ``tests/integration/proxy_config.yaml`` and starts an owned proxy on it:
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- ``store_prompts_in_spend_logs`` is on, so the stored request body exists for every sweep;
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- Redis response-cache entries live 600 s, longer than any scenario's sweeps;
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- spend logs flush every second (``proxy_batch_write_at``) and callbacks flush every second
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(``DEFAULT_FLUSH_INTERVAL_SECONDS``), so ``eventually`` converges quickly;
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- provider-default routes (file, batch, container lists with no deployment) resolve to the
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provider double through ``OPENAI_BASE_URL``, and the remote catalogs (cost map, blog posts,
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beta headers, autorouter presets, policy templates) are read from the package, so a route
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sweep never leaves the machine;
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- ``HTTP(S)_PROXY`` points at an egress trap that answers every connection with 403 and
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records its first line; the rig fails on exit if the proxy tried to reach any non-loopback
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host (``Rig.egress()`` lists the attempts so far);
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- the config ``model_list`` declares ``CONFIG_MODEL`` whose ``api_key`` is a fresh slot B1
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canary, reaching the provider double at ``<provider>/v1``.
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API:
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- ``canary_rig(root, *, configure=None, environment=None, upstream=None, sink_token=SINK_TOKEN)
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-> Iterator[Rig]``. ``configure(config, provider_url)`` may edit the parsed config before it
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is written (add deployments, settings, callbacks); ``environment`` adds or overrides proxy
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environment variables; ``upstream`` replaces ``chat_upstream`` as the provider double's
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handler. ``sink_token`` is the bearer the ``generic_api`` double requires and
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``GENERIC_LOGGER_HEADERS`` sends; pass a ``Canary`` (slot G1 style) to plant a sink credential,
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and ``Rig.own_headers`` then allows that one header to carry it (pass it to ``sweep_all``).
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- ``Rig.model_id``: the router's ``model_info.id`` for ``CONFIG_MODEL`` (read from
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``/model/info`` once the proxy is up). Pass it as ``ids["model_id"]`` so the
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``{model_id}`` routes (``/credentials/by_model/{model_id}``, ...) resolve the deployment.
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- ``Rig.proxy``: the owned proxy ``Gateway`` with its master key (the ``LITELLM_MASTER_KEY``
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from ``environment`` when a scenario overrides it). ``Rig.canaries``: config-held
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canaries by slot id. ``Rig.provider`` and ``Rig.sinks[name]``: ``Recorder`` objects whose
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``requests()`` returns every request received so far (the underlying queue is drained into a
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list, so repeated polls keep earlier requests).
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- ``chat_upstream(request)``: an OpenAI chat double that echoes the last user message and
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answers HTTP 400 when the message contains ``PROVIDER_4XX``.
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- ``SINK_TOKEN``: the default static bearer the ``generic_api`` sink authenticates with.
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- ``team_caller(scenario) -> Caller``: a team, an ``internal_user`` on it and a virtual key for
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that user on that team (allowed ``CONFIG_MODEL``). Scenarios send traffic with ``Caller.key``
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and pass ``Caller.callers(rig)`` to ``sweep_all`` so S2 reads every route as the admin and as
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the internal user.
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- ``settle(rig, request_id, marker)``: wait (bounded) until the spend row for ``request_id``
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is written and every sink double has received an event carrying ``marker``, so the sweeps
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that follow read the finished state instead of racing the asynchronous writers.
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"""
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from __future__ import annotations
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import json
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import socket
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import threading
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import uuid
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from collections.abc import Callable, Iterator, Mapping
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from contextlib import contextmanager
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from dataclasses import dataclass, field
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from types import MappingProxyType
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from pathlib import Path
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from typing import Final
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import yaml
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from integration._support.client import Gateway, Scenario, eventually, gateway_from_environment
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from integration._support.database import read_rows
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from integration._support.process import OwnedProxy, owned_proxy_process
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from integration._support.wire import Reply, Request, Wire, wire_server
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from integration.security._canary import Canary, canary
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STOCK_CONFIG: Final = Path("tests/integration/proxy_config.yaml")
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CONFIG_MODEL: Final = "canary-config-deployment"
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PROVIDER_4XX: Final = "canary-provider-4xx"
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SINK_TOKEN: Final = "synthetic-canary-sink-token"
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GENERIC_SINK: Final = "generic_api"
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LOCAL_CATALOGS: Final = MappingProxyType(
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{
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name: "True"
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for name in (
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"LITELLM_LOCAL_MODEL_COST_MAP",
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"LITELLM_LOCAL_BLOG_POSTS",
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"LITELLM_LOCAL_ANTHROPIC_BETA_HEADERS",
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"LITELLM_LOCAL_AUTOROUTER_PRESETS",
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"LITELLM_LOCAL_POLICY_TEMPLATES",
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)
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}
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)
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@dataclass(slots=True)
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class Recorder:
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wire: Wire
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seen: list[Request] = field(default_factory=list) # mutable-ok: drain() consumes the queue
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@property
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def url(self) -> str:
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return self.wire.url
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def requests(self) -> tuple[Request, ...]:
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self.seen.extend(self.wire.drain())
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return tuple(self.seen)
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def carrying(self, text: str) -> tuple[Request, ...]:
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"""Requests whose body contains ``text``."""
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return tuple(request for request in self.requests() if text.encode() in request.body)
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@dataclass(frozen=True, slots=True)
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class Rig:
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proxy: Gateway
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owned: OwnedProxy
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provider: Recorder
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sinks: Mapping[str, Recorder]
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canaries: Mapping[str, Canary]
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own_headers: Mapping[str, tuple[str, str]] = field(default_factory=lambda: MappingProxyType({}))
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egress: Callable[[], tuple[bytes, ...]] = field(default=lambda: ())
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model_id: str = ""
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def chat_upstream(request: Request) -> Reply:
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body: Final = json.loads(request.body or b"{}")
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messages: Final = body.get("messages") or [{"content": ""}]
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text: Final = str(messages[-1].get("content", ""))
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if PROVIDER_4XX in text:
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return Reply(
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status=400,
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body=json.dumps(
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{"error": {"type": "invalid_request_error", "code": "canary_rejected", "message": "rejected"}}
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).encode(),
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)
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return Reply(
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body=json.dumps(
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{
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"id": f"chatcmpl-{uuid.uuid4().hex}",
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"object": "chat.completion",
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"created": 1,
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"model": "gpt-4o-mini",
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"choices": [
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{"index": 0, "message": {"role": "assistant", "content": "echo " + text}, "finish_reason": "stop"}
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],
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"usage": {"prompt_tokens": 7, "completion_tokens": 3, "total_tokens": 10},
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}
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).encode()
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)
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def _sink_for(token: str) -> Callable[[Request], Reply]:
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def sink(request: Request) -> Reply:
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assert request.headers.get("authorization") == f"Bearer {token}", "sink double got a foreign bearer"
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return Reply()
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return sink
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@contextmanager
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def _egress_trap() -> Iterator[tuple[str, Callable[[], tuple[bytes, ...]]]]:
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"""A forward-proxy stand-in: records the first line of every connection, answers 403."""
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attempts: Final[list[bytes]] = [] # mutable-ok: appended by the accept thread
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server: Final = socket.create_server(("127.0.0.1", 0))
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server.settimeout(0.2)
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stopped: Final = threading.Event()
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def serve() -> None:
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while not stopped.is_set():
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try:
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connection, _ = server.accept()
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except TimeoutError:
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continue
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except OSError:
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return
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with connection:
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connection.settimeout(2)
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try:
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attempts.append(connection.recv(512).split(b"\r\n", 1)[0])
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connection.sendall(b"HTTP/1.1 403 Forbidden\r\ncontent-length: 0\r\nconnection: close\r\n\r\n")
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except OSError:
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pass
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thread: Final = threading.Thread(target=serve, daemon=True)
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thread.start()
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try:
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yield f"http://127.0.0.1:{server.getsockname()[1]}", lambda: tuple(attempts)
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finally:
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stopped.set()
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thread.join(timeout=5)
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server.close()
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def _config(
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root: Path, provider_url: str, b1: Canary, configure: Callable[[dict[str, object], str], None] | None
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) -> Path:
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config: Final = yaml.safe_load(STOCK_CONFIG.read_text())
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config["model_list"] = [
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{
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"model_name": CONFIG_MODEL,
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"litellm_params": {"model": "openai/gpt-4o-mini", "api_base": provider_url + "/v1", "api_key": b1.value},
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}
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]
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config["general_settings"]["store_prompts_in_spend_logs"] = True
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config["litellm_settings"]["cache_params"]["ttl"] = 600
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config["litellm_settings"].update({"callbacks": [GENERIC_SINK], "DEFAULT_FLUSH_INTERVAL_SECONDS": 1})
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if configure is not None:
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configure(config, provider_url)
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path: Final = root / f"canary-{uuid.uuid4().hex}.yaml"
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path.write_text(yaml.safe_dump(config))
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return path
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@contextmanager
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def canary_rig(
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root: Path,
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*,
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configure: Callable[[dict[str, object], str], None] | None = None,
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environment: Mapping[str, str] | None = None,
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upstream: Callable[[Request], Reply] | None = None,
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sink_token: str | Canary = SINK_TOKEN,
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) -> Iterator[Rig]:
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b1: Final = canary("B1")
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token: Final = sink_token.value if isinstance(sink_token, Canary) else sink_token
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own_headers: Final = MappingProxyType(
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{GENERIC_SINK: ("authorization", sink_token.slot)} if isinstance(sink_token, Canary) else {}
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)
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planted: Final = {"B1": b1, **({sink_token.slot: sink_token} if isinstance(sink_token, Canary) else {})}
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with (
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gateway_from_environment() as gateway,
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wire_server(upstream or chat_upstream) as provider,
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wire_server(_sink_for(token)) as sink,
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_egress_trap() as (trap_url, egress),
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):
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config: Final = _config(root, provider.url, b1, configure)
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overrides: Final = {
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**LOCAL_CATALOGS,
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**{name: trap_url for name in ("HTTP_PROXY", "HTTPS_PROXY", "http_proxy", "https_proxy")},
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**{name: "127.0.0.1,localhost" for name in ("NO_PROXY", "no_proxy")},
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"OPENAI_BASE_URL": provider.url + "/v1",
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"OPENAI_API_BASE": provider.url + "/v1",
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"ANTHROPIC_API_BASE": provider.url,
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"ANTHROPIC_BASE_URL": provider.url,
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"ANTHROPIC_API_KEY": b1.value,
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"ANTHROPIC_AUTH_TOKEN": "",
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"GENERIC_LOGGER_ENDPOINT": sink.url,
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"GENERIC_LOGGER_HEADERS": f"Authorization=Bearer {token}",
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**(environment or {}),
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}
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with owned_proxy_process(gateway, root, overrides, config=config) as owned:
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admin = Gateway(
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owned.gateway.client, overrides.get("LITELLM_MASTER_KEY", owned.gateway.key), owned.gateway.upstream_url
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)
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yield Rig(
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admin,
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owned,
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Recorder(provider),
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MappingProxyType({GENERIC_SINK: Recorder(sink)}),
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MappingProxyType(planted),
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own_headers,
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egress,
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config_model_id(admin),
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)
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assert egress() == (), f"Owned proxy tried to reach external hosts: {sorted(set(egress()))}"
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def config_model_id(gateway: Gateway) -> str:
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"""The router's ``model_info.id`` for the ``CONFIG_MODEL`` deployment."""
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data: Final = gateway.get("/model/info").get("data")
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assert isinstance(data, list), data
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found: Final = tuple(
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info["id"]
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for entry in data
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if isinstance(entry, dict)
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and entry.get("model_name") == CONFIG_MODEL
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and isinstance(info := entry.get("model_info"), dict)
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and isinstance(info.get("id"), str)
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)
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assert len(found) == 1, f"expected one {CONFIG_MODEL} deployment in /model/info, got {found}"
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return str(found[0])
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@dataclass(frozen=True, slots=True)
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class Caller:
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team_id: str
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user_id: str
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key: str
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def callers(self, rig: Rig) -> Mapping[str, str]:
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return {"admin": rig.proxy.key, "internal_user": self.key}
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def team_caller(scenario: Scenario) -> Caller:
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team: Final = scenario.team()
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user: Final = scenario.user(user_role="internal_user")
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scenario.gateway.post("/team/member_add", {"team_id": team, "member": {"user_id": user, "role": "user"}})
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key: Final = scenario.key(team_id=team, user_id=user, models=[CONFIG_MODEL])
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return Caller(team, user, key)
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def settle(rig: Rig, request_id: str, marker: Canary) -> None:
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eventually(
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lambda: read_rows('SELECT request_id FROM "LiteLLM_SpendLogs" WHERE request_id=%s', (request_id,)),
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lambda rows: len(rows) == 1,
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seconds=70,
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)
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for sink in rig.sinks.values():
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eventually(lambda sink=sink: sink.carrying(marker.core), bool, seconds=30)
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