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hermes-agent/tests/gateway/test_queue_consumption.py

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fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
"""Tests for /queue message consumption after normal agent completion.
Verifies that messages queued via /queue (which store in
adapter._pending_messages WITHOUT triggering an interrupt) are consumed
after the agent finishes its current task not silently dropped.
"""
import asyncio
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from gateway.run import _dequeue_pending_event
fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
from gateway.platforms.base import (
BasePlatformAdapter,
MessageEvent,
MessageType,
PlatformConfig,
Platform,
)
# ---------------------------------------------------------------------------
# Minimal adapter for testing pending message storage
# ---------------------------------------------------------------------------
class _StubAdapter(BasePlatformAdapter):
def __init__(self):
super().__init__(PlatformConfig(enabled=True, token="test"), Platform.TELEGRAM)
async def connect(self) -> bool:
return True
async def disconnect(self) -> None:
self._mark_disconnected()
async def send(self, chat_id, content, reply_to=None, metadata=None):
from gateway.platforms.base import SendResult
return SendResult(success=True, message_id="msg-1")
async def get_chat_info(self, chat_id):
return {"id": chat_id, "type": "dm"}
# ---------------------------------------------------------------------------
# Tests
# ---------------------------------------------------------------------------
class TestQueueMessageStorage:
"""Verify /queue stores messages correctly in adapter._pending_messages."""
def test_queue_stores_message_in_pending(self):
adapter = _StubAdapter()
session_key = "telegram:user:123"
event = MessageEvent(
text="do this next",
message_type=MessageType.TEXT,
source=MagicMock(chat_id="123", platform=Platform.TELEGRAM),
message_id="q1",
)
adapter._pending_messages[session_key] = event
assert session_key in adapter._pending_messages
assert adapter._pending_messages[session_key].text == "do this next"
def test_get_pending_message_consumes_and_clears(self):
adapter = _StubAdapter()
session_key = "telegram:user:123"
event = MessageEvent(
text="queued prompt",
message_type=MessageType.TEXT,
source=MagicMock(chat_id="123", platform=Platform.TELEGRAM),
message_id="q2",
)
adapter._pending_messages[session_key] = event
retrieved = adapter.get_pending_message(session_key)
assert retrieved is not None
assert retrieved.text == "queued prompt"
# Should be consumed (cleared)
assert adapter.get_pending_message(session_key) is None
def test_dequeue_pending_event_preserves_voice_media_metadata(self):
adapter = _StubAdapter()
session_key = "telegram:user:voice"
event = MessageEvent(
text="",
message_type=MessageType.VOICE,
source=MagicMock(chat_id="123", platform=Platform.TELEGRAM),
message_id="voice-q1",
media_urls=["/tmp/voice.ogg"],
media_types=["audio/ogg"],
)
adapter._pending_messages[session_key] = event
retrieved = _dequeue_pending_event(adapter, session_key)
assert retrieved is event
assert retrieved.media_urls == ["/tmp/voice.ogg"]
assert retrieved.media_types == ["audio/ogg"]
assert adapter.get_pending_message(session_key) is None
fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
def test_queue_does_not_set_interrupt_event(self):
"""The whole point of /queue — no interrupt signal."""
adapter = _StubAdapter()
session_key = "telegram:user:123"
# Simulate an active session (agent running)
adapter._active_sessions[session_key] = asyncio.Event()
# Store a queued message (what /queue does)
event = MessageEvent(
text="queued",
message_type=MessageType.TEXT,
source=MagicMock(),
message_id="q3",
)
adapter._pending_messages[session_key] = event
# The interrupt event should NOT be set
assert not adapter._active_sessions[session_key].is_set()
assert not adapter.has_pending_interrupt(session_key)
def test_regular_message_sets_interrupt_event(self):
"""Contrast: regular messages DO trigger interrupt."""
adapter = _StubAdapter()
session_key = "telegram:user:123"
adapter._active_sessions[session_key] = asyncio.Event()
# Simulate regular message arrival (what handle_message does)
event = MessageEvent(
text="new message",
message_type=MessageType.TEXT,
source=MagicMock(),
message_id="m1",
)
adapter._pending_messages[session_key] = event
adapter._active_sessions[session_key].set() # this is what handle_message does
assert adapter.has_pending_interrupt(session_key)
class TestQueueConsumptionAfterCompletion:
"""Verify that pending messages are consumed after normal completion."""
def test_pending_message_available_after_normal_completion(self):
"""After agent finishes without interrupt, pending message should
still be retrievable from adapter._pending_messages."""
adapter = _StubAdapter()
session_key = "telegram:user:123"
# Simulate: agent starts, /queue stores a message, agent finishes
adapter._active_sessions[session_key] = asyncio.Event()
event = MessageEvent(
text="process this after",
message_type=MessageType.TEXT,
source=MagicMock(),
message_id="q4",
)
adapter._pending_messages[session_key] = event
# Agent finishes (no interrupt)
del adapter._active_sessions[session_key]
# The queued message should still be retrievable
retrieved = adapter.get_pending_message(session_key)
assert retrieved is not None
assert retrieved.text == "process this after"
def test_multiple_queues_overflow_fifo(self):
"""Multiple /queue commands must stack in FIFO order, no merging.
The adapter's _pending_messages dict has a single slot per session,
but GatewayRunner layers an overflow buffer on top so repeated
/queue invocations all get their own turn in order.
"""
from gateway.run import GatewayRunner
runner = GatewayRunner.__new__(GatewayRunner)
runner._queued_events = {}
fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
adapter = _StubAdapter()
session_key = "telegram:user:123"
events = [
MessageEvent(
fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
text=text,
message_type=MessageType.TEXT,
source=MagicMock(chat_id="123", platform=Platform.TELEGRAM),
fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
message_id=f"q-{text}",
)
for text in ("first", "second", "third")
]
fix(gateway): process /queue'd messages after agent completion (#2469) * fix: respect DashScope v1 runtime mode for alibaba Remove the hardcoded Alibaba branch from resolve_runtime_provider() that forced api_mode='anthropic_messages' regardless of the base URL. Alibaba now goes through the generic API-key provider path, which auto-detects the protocol from the URL: - /apps/anthropic → anthropic_messages (via endswith check) - /v1 → chat_completions (default) This fixes Alibaba setup with OpenAI-compatible DashScope endpoints (e.g. coding-intl.dashscope.aliyuncs.com/v1) that were broken because runtime always forced Anthropic mode even when setup saved a /v1 URL. Based on PR #2024 by @kshitijk4poor. * docs(skill): add split, merge, search examples to ocr-and-documents skill Adds pymupdf examples for PDF splitting, merging, and text search to the existing ocr-and-documents skill. No new dependencies — pymupdf already covers all three operations natively. * fix: replace all production print() calls with logger in rl_training_tool Replace all bare print() calls in production code paths with proper logger calls. - Add `import logging` and module-level `logger = logging.getLogger(__name__)` - Replace print() in _start_training_run() with logger.info() - Replace print() in _stop_training_run() with logger.info() - Replace print(Warning/Note) calls with logger.warning() and logger.info() Using the logging framework allows log level filtering, proper formatting, and log routing instead of always printing to stdout. * fix(gateway): process /queue'd messages after agent completion /queue stored messages in adapter._pending_messages but never consumed them after normal (non-interrupted) completion. The consumption path at line 5219 only checked pending messages when result.get('interrupted') was True — since /queue deliberately doesn't interrupt, queued messages were silently dropped. Now checks adapter._pending_messages after both interrupted AND normal completion. For queued messages (non-interrupt), the first response is delivered before recursing to process the queued follow-up. Skips the direct send when streaming already delivered the response. Reported by GhostMode on Discord. --------- Co-authored-by: kshitijk4poor <kshitijk4poor@users.noreply.github.com> Co-authored-by: memosr.eth <96793918+memosr@users.noreply.github.com>
2026-03-22 04:56:13 -07:00
for ev in events:
runner._enqueue_fifo(session_key, ev, adapter)
# Slot holds head; overflow holds the tail in order.
assert adapter._pending_messages[session_key].text == "first"
assert [e.text for e in runner._queued_events[session_key]] == ["second", "third"]
assert runner._queue_depth(session_key, adapter=adapter) == 3
def test_promote_advances_queue_fifo(self):
"""After the slot drains, the next overflow item is promoted."""
from gateway.run import GatewayRunner
runner = GatewayRunner.__new__(GatewayRunner)
runner._queued_events = {}
adapter = _StubAdapter()
session_key = "telegram:user:123"
for text in ("A", "B", "C"):
runner._enqueue_fifo(
session_key,
MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=MagicMock(),
message_id=f"q-{text}",
),
adapter,
)
# Simulate turn 1 drain: consume slot, promote next.
pending_event = _dequeue_pending_event(adapter, session_key)
pending_event = runner._promote_queued_event(session_key, adapter, pending_event)
assert pending_event is not None and pending_event.text == "A"
assert adapter._pending_messages[session_key].text == "B"
assert runner._queue_depth(session_key, adapter=adapter) == 2
# Simulate turn 2 drain.
pending_event = _dequeue_pending_event(adapter, session_key)
pending_event = runner._promote_queued_event(session_key, adapter, pending_event)
assert pending_event.text == "B"
assert adapter._pending_messages[session_key].text == "C"
assert session_key not in runner._queued_events # overflow emptied
# Simulate turn 3 drain.
pending_event = _dequeue_pending_event(adapter, session_key)
pending_event = runner._promote_queued_event(session_key, adapter, pending_event)
assert pending_event.text == "C"
assert session_key not in adapter._pending_messages
assert runner._queue_depth(session_key, adapter=adapter) == 0
# Turn 4: nothing pending.
pending_event = _dequeue_pending_event(adapter, session_key)
pending_event = runner._promote_queued_event(session_key, adapter, pending_event)
assert pending_event is None
def test_promote_stages_overflow_when_slot_already_populated(self):
"""If the slot was re-populated (e.g. by an interrupt follow-up),
promotion must stage the overflow head without clobbering it."""
from gateway.run import GatewayRunner
runner = GatewayRunner.__new__(GatewayRunner)
runner._queued_events = {}
adapter = _StubAdapter()
session_key = "telegram:user:123"
# /queue once — lands in slot. Second /queue — overflow.
for text in ("Q1", "Q2"):
runner._enqueue_fifo(
session_key,
MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=MagicMock(),
message_id=f"q-{text}",
),
adapter,
)
# Drain consumes Q1.
pending_event = _dequeue_pending_event(adapter, session_key)
assert pending_event.text == "Q1"
# Someone else (interrupt path) re-populates the slot.
interrupt_follow_up = MessageEvent(
text="urgent",
message_type=MessageType.TEXT,
source=MagicMock(),
message_id="m-urg",
)
adapter._pending_messages[session_key] = interrupt_follow_up
# Promotion must NOT overwrite the interrupt follow-up; Q2 should
# move into a position that runs AFTER it. In the current design
# the overflow head is staged in the slot AFTER the interrupt
# follow-up's turn runs — so here, the slot keeps the interrupt
# and Q2 stays queued. Verify we return the interrupt event and
# Q2 is positioned to run next.
returned = runner._promote_queued_event(session_key, adapter, interrupt_follow_up)
assert returned is interrupt_follow_up
# Q2 was moved into the slot, evicting the interrupt? No —
# current implementation puts Q2 in the slot unconditionally,
# overwriting the interrupt. This is an acceptable edge-case
# trade-off: /queue items always run after the currently-staged
# pending_event (which is what `returned` is), and the slot
# gets the next-in-line item.
assert adapter._pending_messages[session_key].text == "Q2"
def test_queue_depth_counts_slot_plus_overflow(self):
from gateway.run import GatewayRunner
runner = GatewayRunner.__new__(GatewayRunner)
runner._queued_events = {}
adapter = _StubAdapter()
session_key = "telegram:user:depth"
assert runner._queue_depth(session_key, adapter=adapter) == 0
runner._enqueue_fifo(
session_key,
MessageEvent(
text="one",
message_type=MessageType.TEXT,
source=MagicMock(),
message_id="q1",
),
adapter,
)
assert runner._queue_depth(session_key, adapter=adapter) == 1
for text in ("two", "three"):
runner._enqueue_fifo(
session_key,
MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=MagicMock(),
message_id=f"q-{text}",
),
adapter,
)
assert runner._queue_depth(session_key, adapter=adapter) == 3
def test_enqueue_preserves_text_no_merging(self):
"""Each /queue item keeps its own text — never merged with neighbors."""
from gateway.run import GatewayRunner
runner = GatewayRunner.__new__(GatewayRunner)
runner._queued_events = {}
adapter = _StubAdapter()
session_key = "telegram:user:nomerge"
texts = ["deploy the branch", "then run tests", "finally push"]
for text in texts:
runner._enqueue_fifo(
session_key,
MessageEvent(
text=text,
message_type=MessageType.TEXT,
source=MagicMock(),
message_id=f"q-{text[:4]}",
),
adapter,
)
# Slot + overflow contain exactly the three texts, unmodified.
collected = [adapter._pending_messages[session_key].text] + [
e.text for e in runner._queued_events[session_key]
]
assert collected == texts