Files
LLeMbas/tests/test_agent_interaction.py
T
Jaroslav Beneš 3065878bd0 A question that offers real choices, and says how many you may take
Three things about `ask_user`, all of them about the card being answerable
rather than about the tool being callable.

Options are required now, and they are objects: a label, and a line of
description where the label alone does not say what choosing it would mean.
"Rewrite it" and "Patch it" are two words that do not tell you which one loses
your uncommitted work. They stack one per line, because a row of chips has
nowhere to put the second line and no room to read the first.

The model says whether they are exclusive. Only it knows whether its options are
alternatives or a set, and the card has to show which -- a radio group offered
where checkboxes were meant loses every answer but one. Exclusive is the
default, being the cheaper mistake. A `multiple` question posts the same field
name once per ticked box, so the endpoint gathers choices into a list; the
`setdefault` it did before kept the first and dropped the rest, which is an
answer that says something the reader did not.

And "Something else" is added here, on every question, with the box behind it
revealed by `:has()` and no JavaScript at all. The model is told never to write
an "other" option of its own, because its version would be a choice with no box
behind it -- a word submitted that means nothing. It carries a sentinel rather
than an answer, and the endpoint swaps in what was typed beside it, or drops it
when the box was left empty rather than telling the model the answer is
"__other__".

Typing no longer beats picking. That rule belonged to a box that was always
visible next to the options; this one only exists once its own option is chosen,
so picking is the answer and the box is one of the things you can pick.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-04 19:34:47 +02:00

980 lines
36 KiB
Python

"""Pausing a reply to ask the reader something.
Driven through the real generation loop with a scripted endpoint, because the
things worth pinning here are all about the loop: that Stop still works while
nothing is streaming, that a decision lands at the right index, and that the
card clears itself.
"""
from __future__ import annotations
import asyncio
import pytest
from sqlalchemy import select
from lembas.db.models import ROLE_ASSISTANT, Chat, Connection, Message, Model
from lembas.services import generation as generation_service
from lembas.services import interaction, settings_store
def _chat_that_can_ask(db, user_id):
connection = Connection(name="c", base_url="http://127.0.0.1:1", api_key_encrypted="")
db.add(connection)
db.commit()
db.add(Model(connection_id=connection.id, model_id="m", capabilities_json={"tools": True}))
db.commit()
chat = Chat(user_id=user_id, model_id="m", connection_id=connection.id)
db.add(chat)
db.commit()
db.add(Message(chat_id=chat.id, role="user", content="Which one?", complete=True))
db.commit()
assistant = Message(chat_id=chat.id, role=ROLE_ASSISTANT, content="", complete=False)
db.add(assistant)
db.commit()
return chat.id, assistant.id
def _ask_chunk(question: str, options: list[str] | None = None, *, index: int = 0, call_id="c1"):
import json as _json
arguments = {"question": question}
if options is not None:
arguments["options"] = options
return {
"choices": [
{
"delta": {
"tool_calls": [
{
"index": index,
"id": call_id,
"function": {
"name": "ask_user",
"arguments": _json.dumps(arguments),
},
}
]
}
}
]
}
def _text_chunk(text: str) -> dict:
return {"choices": [{"delta": {"content": text}}]}
def _stub_stream(rounds, seen):
async def stream_chat(_endpoint, payload):
seen.append(payload)
for chunk in rounds[min(len(seen) - 1, len(rounds) - 1)]:
yield chunk
return stream_chat
async def _until_paused(generation, *, timeout: float = 2.0):
"""Wait for the card to go up."""
deadline = asyncio.get_running_loop().time() + timeout
while asyncio.get_running_loop().time() < deadline:
if generation.pending is not None:
return generation.pending
await asyncio.sleep(0.01)
raise AssertionError("the reply never paused")
@pytest.fixture
def scripted(db, user_id, monkeypatch):
"""A reply that asks one question, then answers with whatever it was told."""
chat_id, message_id = _chat_that_can_ask(db, user_id)
payloads: list[dict] = []
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream(
[[_ask_chunk("Tea or coffee?", ["Tea", "Coffee"])], [_text_chunk("Right you are.")]],
payloads,
),
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
return generation, payloads, chat_id, message_id
# --- The tool is offered at all ----------------------------------------------
def test_ask_user_is_offered_to_an_ordinary_chat(db, user_id):
"""Not an agent feature. A model in a plain conversation should be able to
stop and ask which of two things you meant."""
from lembas.db.models import User
from lembas.services import tools as tools_service
chat_id, _message_id = _chat_that_can_ask(db, user_id)
chat = db.get(Chat, chat_id)
offered = tools_service.resolve_tools(db, chat, db.get(User, user_id))
assert "ask_user" in offered.by_name
def test_ask_user_is_withheld_without_the_permission(db, user_id):
from lembas.db.models import User
from lembas.services import tools as tools_service
user = db.get(User, user_id)
# Administrators are given every permission, so the baseline only bites a
# plain account.
user.role = "user"
settings_store.update(db, {"default_permissions": {"tools.ask": False}})
db.commit()
chat = db.get(Chat, _chat_that_can_ask(db, user_id)[0])
assert "ask_user" not in tools_service.resolve_tools(db, chat, user).by_name
# --- The pause ---------------------------------------------------------------
async def test_the_reply_pauses_and_the_card_describes_the_question(scripted):
generation, _payloads, _chat_id, _message_id = scripted
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
assert pending.kind == interaction.KIND_QUESTION
assert pending.items[0].title == "Tea or coffee?"
assert [o.label for o in pending.items[0].options] == ["Tea", "Coffee"]
assert "Waiting for your answer" in generation.status
pending.resolve(interaction.ANSWER, answers={"q0": "Tea"})
await task
async def test_the_answer_reaches_the_model_as_a_tool_result(scripted):
generation, payloads, _chat_id, _message_id = scripted
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
pending.resolve(interaction.ANSWER, answers={"q0": "Coffee, please"})
await task
turns = [m for m in payloads[1]["messages"] if m.get("role") == "tool"]
assert len(turns) == 1
assert "Coffee, please" in turns[0]["content"]
assert turns[0]["tool_call_id"] == "c1"
async def test_the_card_is_cleared_once_it_is_answered(scripted):
generation, _payloads, _chat_id, _message_id = scripted
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
version = generation.version
pending.resolve(interaction.ANSWER, answers={"q0": "Tea"})
await task
assert generation.pending is None
assert generation.version > version, "clearing has to bump the version or no frame is sent"
async def test_the_transcript_keeps_what_was_asked_and_answered(scripted):
generation, _payloads, _chat_id, _message_id = scripted
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
pending.resolve(interaction.ANSWER, answers={"q0": "Tea"})
await task
event = generation.tool_events[0]
assert event["kind"] == "ask"
assert event["query"] == "Tea or coffee?"
assert "Tea" in event["text"]
# --- Stop, while nothing is streaming ----------------------------------------
async def test_stop_ends_a_reply_that_is_waiting_for_an_answer(db, user_id, monkeypatch):
"""`cancel` is read only between streamed chunks, and there are no chunks
while the card is up. Without the wakeup in request_stop the button does
nothing at all here."""
chat_id, message_id = _chat_that_can_ask(db, user_id)
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream([[_ask_chunk("Tea or coffee?")], [_text_chunk("unreachable")]], []),
)
generation = generation_service.ensure(chat_id, message_id)
await _until_paused(generation)
assert generation_service.request_stop(message_id) is True
await asyncio.wait_for(asyncio.shield(generation_service._TASKS[message_id]), timeout=2)
assert generation.stopped is True
assert generation.pending is None
# --- Timeout ------------------------------------------------------------------
async def test_an_unanswered_question_expires_and_the_reply_finishes(db, user_id, monkeypatch):
chat_id, message_id = _chat_that_can_ask(db, user_id)
payloads: list[dict] = []
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream([[_ask_chunk("Tea or coffee?")], [_text_chunk("Never mind.")]], payloads),
)
# The clamp floor is 60s, so the timeout is forced directly rather than
# through the settings.
monkeypatch.setattr(
generation_service.tools_service,
"context_for",
lambda *a, **k: _fast_context(*a, **k),
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
await asyncio.wait_for(generation_service._run(generation), timeout=5)
turns = [m for m in payloads[1]["messages"] if m.get("role") == "tool"]
assert "did not answer" in turns[0]["content"]
assert generation.tool_events[0]["status"] == "error"
def _fast_context(db, user, chat=None, *, tools=None):
from lembas.services import tools as tools_service
context = tools_service.ToolContext(
owner_id=user.id if user else "",
tools=tools.by_name if tools is not None else None,
)
context.interaction_timeout = 0.2
return context
# --- The primitive on its own -------------------------------------------------
def test_resolving_twice_only_counts_once():
"""Two tabs, or a double click. The second answer must not win."""
async def go():
pause = interaction.build("abc", [_item()], timeout=5)
assert pause.resolve(interaction.ANSWER, answers={"q0": "first"}) is True
assert pause.resolve(interaction.ANSWER, answers={"q0": "second"}) is False
assert (await pause._future).answers == {"q0": "first"}
asyncio.run(go())
def test_an_interruption_with_no_future_cannot_be_resolved():
pause = interaction.Interruption(id="abc", items=(_item(),))
assert pause.resolve(interaction.ANSWER) is False
def _opts(*labels: str) -> tuple[interaction.Option, ...]:
"""Options as the parser produces them: a label and an optional line under
it. Bare strings are what a model sends and what `_options_in` normalises;
`Item` itself only ever holds the normalised form."""
return tuple(interaction.Option(label=label) for label in labels)
def _item(key: str = "q0", *, title: str = "Tea or coffee?", **kwargs) -> interaction.Item:
return interaction.Item(
index=0,
key=key,
kind=interaction.KIND_QUESTION,
tool_name="ask_user",
title=title,
**kwargs,
)
# --- Resolving one -------------------------------------------------------------
# `answer()` is exercised in-process rather than over the TestClient, because a
# future belongs to the loop that made it and TestClient runs the app on its
# own. In production both are the single uvicorn loop, which is the arrangement
# the in-process registry already requires.
async def test_answer_finds_the_pause_and_resolves_it(db, user_id):
chat_id, message_id = _chat_that_can_ask(db, user_id)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
generation.pending = interaction.build("pause-1", [_item()], timeout=30)
generation_service._RUNNING[message_id] = generation
try:
assert generation_service.answer(chat_id, "pause-1", answers={"q0": "Tea"}) is True
assert (await generation.pending._future).answers == {"q0": "Tea"}
finally:
generation_service._RUNNING.pop(message_id, None)
async def test_answer_ignores_a_pause_in_another_chat(db, user_id):
"""The endpoint checks ownership of the chat, so the lookup is scoped to it
-- an id on its own would not be an authorisation."""
chat_id, message_id = _chat_that_can_ask(db, user_id)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
generation.pending = interaction.build("pause-1", [_item()], timeout=30)
generation_service._RUNNING[message_id] = generation
try:
assert generation_service.answer("another-chat", "pause-1", answers={"q0": "x"}) is False
assert not generation.pending._future.done()
finally:
generation_service._RUNNING.pop(message_id, None)
async def test_an_allow_choice_is_kept_as_a_verdict_not_as_typed_text():
""""allow" is a decision, not something somebody wrote in the box."""
pause = interaction.build("p", [_item()], timeout=5)
pause.resolve(interaction.ALLOW)
reply = await pause._future
assert reply.permitted is True
assert reply.outcome == interaction.ALLOW
def test_answering_something_that_has_gone_says_so(client, db, registered, user_id):
chat_id, _message_id = _chat_that_can_ask(db, user_id)
response = client.post(f"/api/chats/{chat_id}/interaction/nope", data={"choice": "Tea"})
assert response.status_code == 204
assert "no longer waiting" in response.headers["HX-Trigger"]
def test_another_account_cannot_answer_your_question(client, db, registered, user_id):
"""Without the ownership check, a guessed id would be answering -- and
later, approving a command in -- somebody else's conversation."""
from lembas.db.models import User
chat_id, message_id = _chat_that_can_ask(db, user_id)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
# No future: the request must be refused before anything tries to resolve
# it, so there is nothing here for it to reach.
pause = interaction.Interruption(id="pause-2", items=(_item(),))
generation.pending = pause
generation_service._RUNNING[message_id] = generation
try:
client.post("/auth/logout")
client.post(
"/auth/register",
data={"name": "Sam", "email": "sam@shire.test", "password": "correct horse battery"},
follow_redirects=False,
)
intruder = db.scalar(select(User).where(User.email == "sam@shire.test"))
intruder.role = "user"
intruder.active = True
db.commit()
client.post(
"/auth/login",
data={"email": "sam@shire.test", "password": "correct horse battery"},
follow_redirects=False,
)
response = client.post(
f"/api/chats/{chat_id}/interaction/pause-2", data={"choice": "Tea"}
)
assert response.status_code == 404
assert pause is generation.pending, "still waiting for the person it belongs to"
finally:
generation_service._RUNNING.pop(message_id, None)
# --- The card ------------------------------------------------------------------
def _render(pending) -> str:
from lembas.api.chats import _ask_html
return _ask_html("chat-1", pending)
def test_nothing_pending_renders_nothing():
"""The frame is sent unconditionally so the card can clear itself. An empty
string is how it does that."""
assert _render(None) == ""
def test_the_card_shows_the_question_and_its_options():
pause = interaction.Interruption(
id="p1",
items=(
_item(title="Tea or coffee?", options=_opts("Tea", "Coffee")),
),
)
html = _render(pause)
assert "Tea or coffee?" in html
assert 'value="Tea"' in html and 'value="Coffee"' in html
# Stacked, never in a row: an option carries a description now.
assert "interaction__option" in html
assert 'hx-post="/api/chats/chat-1/interaction/p1"' in html
assert "The model is asking you" in html, "attributed to the model, not to LLeMbas"
def test_an_approval_card_shows_what_the_model_said_it_was_doing():
"""Attributed, and kept apart from our own reason for stopping. An
explanation a reader takes for the application's would be LLeMbas vouching
for a command a model wrote."""
pause = interaction.Interruption(
id="p1",
items=(
interaction.Item(
index=0,
key="a0",
kind=interaction.KIND_APPROVAL,
tool_name="shell_run",
title="Run a command on Box",
detail="pytest -q",
reason="Edit mode asks before anything that runs a command.",
purpose="Checking the change did not break anything.",
),
),
)
html = _render(pause)
assert "It says: Checking the change did not break anything." in html
assert "pytest -q" in html
assert "Edit mode asks" in html
def test_an_explanation_on_a_card_is_escaped():
"""It is model text, and the model may have been reading somebody else's
file a moment ago."""
pause = interaction.Interruption(
id="p1",
items=(
interaction.Item(
index=0,
key="a0",
kind=interaction.KIND_APPROVAL,
tool_name="shell_run",
title="Run a command on Box",
detail="ls",
purpose="<img src=x onerror=alert(1)>",
),
),
)
html = _render(pause)
assert "<img src=x" not in html
assert "&lt;img" in html
def test_the_card_never_offers_a_password_field():
"""A model talked into asking for a credential must not be handed a field
that looks built for one."""
pause = interaction.Interruption(
id="p1",
items=(
_item(title="Confirm your password to continue:"),
),
)
html = _render(pause)
assert 'type="password"' not in html
assert 'type="text"' in html
def test_everything_on_the_card_is_escaped():
"""The question is model output, and the model may have been reading
somebody else's file a moment ago."""
pause = interaction.Interruption(
id="p1",
items=(
_item(
title="<img src=x onerror=alert(1)>",
detail="rm -rf / <script>",
options=_opts('"><script>bad</script>'),
),
),
)
html = _render(pause)
assert "<img" not in html
assert "<script>" not in html
assert "&lt;img" in html
# --- Several questions, one card, one submit ---------------------------------
def _multi_chunk(questions: list[dict], *, call_id="c1", index=0):
import json as _json
return {
"choices": [
{
"delta": {
"tool_calls": [
{
"index": index,
"id": call_id,
"function": {
"name": "ask_user",
"arguments": _json.dumps({"questions": questions}),
},
}
]
}
}
]
}
async def test_several_questions_arrive_on_one_card(db, user_id, monkeypatch):
chat_id, message_id = _chat_that_can_ask(db, user_id)
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream(
[
[
_multi_chunk(
[
{"question": "Which database?", "options": ["SQLite", "Postgres"]},
{"question": "Which port?"},
{"question": "Deploy now?", "options": ["Yes", "Later"]},
]
)
],
[_text_chunk("Understood.")],
],
[],
),
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
assert len(pending.items) == 3
assert [i.title for i in pending.items] == ["Which database?", "Which port?", "Deploy now?"]
assert [i.key for i in pending.items] == ["q0", "q1", "q2"]
assert pending.items[1].options == (), "a question may have no options at all"
assert "Waiting for your answers" in generation.status
pending.resolve(interaction.ANSWER, answers={"q0": "Postgres", "q1": "5433", "q2": "Later"})
await task
async def test_all_the_answers_come_back_in_one_tool_turn(db, user_id, monkeypatch):
"""One call, one turn -- however many questions it carried. The endpoint
expects exactly one tool result per tool_call_id."""
chat_id, message_id = _chat_that_can_ask(db, user_id)
payloads: list[dict] = []
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream(
[
[_multi_chunk([{"question": "Which database?"}, {"question": "Which port?"}])],
[_text_chunk("Understood.")],
],
payloads,
),
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
pending.resolve(interaction.ANSWER, answers={"q0": "Postgres", "q1": "5433"})
await task
turns = [m for m in payloads[1]["messages"] if m.get("role") == "tool"]
assert len(turns) == 1
content = turns[0]["content"]
# Each answer is quoted beside its own question, so the model is not left
# matching them up by position.
assert "Which database?" in content and "Postgres" in content
assert "Which port?" in content and "5433" in content
assert content.index("Which database?") < content.index("Which port?")
async def test_a_question_left_blank_is_reported_as_skipped(db, user_id, monkeypatch):
chat_id, message_id = _chat_that_can_ask(db, user_id)
payloads: list[dict] = []
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream(
[
[_multi_chunk([{"question": "Which database?"}, {"question": "Which port?"}])],
[_text_chunk("Understood.")],
],
payloads,
),
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
pending.resolve(interaction.ANSWER, answers={"q0": "Postgres", "q1": ""})
await task
content = [m for m in payloads[1]["messages"] if m.get("role") == "tool"][0]["content"]
assert "Postgres" in content
assert "left unanswered" in content and "Which port?" in content
async def test_two_ask_calls_in_one_round_share_a_card_but_answer_separately(
db, user_id, monkeypatch
):
"""One card, because the reader should be interrupted once -- but two tool
turns, because there were two calls."""
import json as _json
chat_id, message_id = _chat_that_can_ask(db, user_id)
payloads: list[dict] = []
both = {
"choices": [
{
"delta": {
"tool_calls": [
{
"index": 0,
"id": "a",
"function": {
"name": "ask_user",
"arguments": _json.dumps({"questions": [{"question": "First?"}]}),
},
},
{
"index": 1,
"id": "b",
"function": {
"name": "ask_user",
"arguments": _json.dumps({"questions": [{"question": "Second?"}]}),
},
},
]
}
}
]
}
monkeypatch.setattr(
generation_service,
"stream_chat",
_stub_stream([[both], [_text_chunk("Understood.")]], payloads),
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
assert len(pending.items) == 2
assert {i.index for i in pending.items} == {0, 1}, "one item per call"
assert [i.key for i in pending.items] == ["q0", "q1"], "keys are unique across calls"
pending.resolve(interaction.ANSWER, answers={"q0": "one", "q1": "two"})
await task
turns = [m for m in payloads[1]["messages"] if m.get("role") == "tool"]
assert [t["tool_call_id"] for t in turns] == ["a", "b"]
assert "one" in turns[0]["content"] and "two" in turns[1]["content"]
# --- Whatever shape the model actually emits ----------------------------------
@pytest.mark.parametrize(
("args", "expected"),
[
({"questions": [{"question": "A"}, {"question": "B"}]}, ["A", "B"]),
({"question": "A"}, ["A"]), # the singular form
({"questions": "A"}, ["A"]), # a string where a list belonged
({"questions": ["A", "B"]}, ["A", "B"]), # bare strings
({"questions": {"question": "A"}}, ["A"]), # one object, not wrapped
({"questions": [{"nope": 1}, {"question": "B"}]}, ["B"]), # junk is dropped
({}, []),
({"questions": []}, []),
],
)
def test_the_questions_are_read_however_they_were_spelled(args, expected):
"""A capable model sends the schema. A small one sends something close, and
getting it wrong costs a round trip and shows a card saying nothing."""
asked = generation_service._questions_in(args)
assert [q["question"] for q in asked] == expected
def test_a_lone_bare_question_keeps_a_sibling_options_list():
asked = generation_service._questions_in({"questions": ["Tea or coffee?"], "options": ["Tea"]})
assert asked[0]["options"] == ["Tea"]
def test_too_many_questions_are_cut_off():
args = {"questions": [{"question": f"Q{i}"} for i in range(20)]}
assert len(generation_service._questions_in(args)) == interaction.MAX_QUESTIONS
def test_the_card_renders_every_question_with_its_own_fields():
pause = interaction.Interruption(
id="p1",
items=(
_item("q0", title="Which database?", options=_opts("SQLite", "Postgres")),
_item("q1", title="Which port?"),
),
)
html = _render(pause)
assert "Which database?" in html and "Which port?" in html
# Radios rather than submit buttons: picking one must not send the form
# while two other questions are still blank.
assert 'name="choice.q0" value="SQLite"' in html
assert 'name="text.q0"' in html and 'name="text.q1"' in html
# Every question gets "Something else" and the box behind it, including one
# the model gave no options for -- that row is added here, never by the
# model, which is why the tool tells it not to write an "other" of its own.
assert html.count(f'value="{interaction.OTHER}"') == 2
assert html.count("Something else") == 2
assert html.count("Send answers") == 1, "one submit for the whole card"
def test_options_are_radios_when_exclusive_and_checkboxes_when_not():
"""The model says which, and the card has to show it: a radio group offered
where a set was meant loses every answer but one, and checkboxes offered for
alternatives invite an answer that contradicts itself."""
one = _render(
interaction.Interruption(
id="p1", items=(_item("q0", options=_opts("Tea", "Coffee")),)
)
)
many = _render(
interaction.Interruption(
id="p1", items=(_item("q0", options=_opts("Tea", "Coffee"), multiple=True),)
)
)
assert 'type="radio"' in one and 'type="checkbox"' not in one
assert 'type="checkbox"' in many and 'type="radio"' not in many
# Including the "Something else" row, which has to match the rest or the
# card offers a set and then refuses to take one.
assert one.count('type="radio"') == many.count('type="checkbox"') == 3
def test_an_option_can_carry_a_line_explaining_it():
""""Rewrite it" and "Patch it" say nothing about which loses your
uncommitted work."""
pause = interaction.Interruption(
id="p1",
items=(
_item(
"q0",
options=(
interaction.Option("Rewrite it", "Replaces the file whole."),
interaction.Option("Patch it"),
),
),
),
)
html = _render(pause)
assert "Replaces the file whole." in html
assert html.count("interaction__option-note") == 1, "and only where there is one"
def test_an_options_description_is_escaped_like_everything_else():
pause = interaction.Interruption(
id="p1",
items=(_item("q0", options=(interaction.Option("ok", '<script>bad</script>'),)),),
)
assert "<script>bad" not in _render(pause)
def test_a_single_question_says_answer_rather_than_send_answers():
html = _render(interaction.Interruption(id="p1", items=(_item(),)))
assert "Send answers" not in html
assert ">\n Answer" in html or "Answer" in html
def test_the_endpoint_gathers_every_answer_at_once(client, db, registered, user_id):
"""The whole card in one POST -- what was typed beating what was picked."""
chat_id, message_id = _chat_that_can_ask(db, user_id)
seen: dict = {}
def capture(chat, interaction_id, *, verdict="", answers=None):
seen["chat"] = chat
seen["id"] = interaction_id
seen["verdict"] = verdict
seen["answers"] = answers
return True
from lembas.api import chats as chats_api
original = chats_api.generation_service.answer
chats_api.generation_service.answer = capture
try:
response = client.post(
f"/api/chats/{chat_id}/interaction/p1",
data={
"choice.q0": "Postgres",
"text.q0": "",
# "Something else" ticked, and the box beside it filled in.
"choice.q1": interaction.OTHER,
"text.q1": "actually, later",
# A box with no choice beside it: the approval card's corrected
# command, which is the one place `text.` stands on its own.
"text.q2": "5433",
},
)
assert response.status_code == 204
finally:
chats_api.generation_service.answer = original
assert seen["answers"] == {
"q0": "Postgres", # picked
"q1": "actually, later", # "Something else", and what was written
"q2": "5433", # written, nothing to pick
}
assert seen["verdict"] == ""
assert message_id # the chat was real
def test_the_endpoint_passes_a_verdict_through_untouched(client, db, registered, user_id):
chat_id, _message_id = _chat_that_can_ask(db, user_id)
seen: dict = {}
from lembas.api import chats as chats_api
original = chats_api.generation_service.answer
chats_api.generation_service.answer = lambda c, i, *, verdict="", answers=None: (
seen.update(verdict=verdict, answers=answers) or True
)
try:
client.post(f"/api/chats/{chat_id}/interaction/p1", data={"verdict": "allow"})
finally:
chats_api.generation_service.answer = original
assert seen["verdict"] == "allow"
assert seen["answers"] == {}
# --- Options as a model actually sends them -----------------------------------
def test_options_are_read_as_objects_or_as_bare_strings():
"""The schema asks for objects with a label. A small model sends a list of
strings -- which is what the schema asked for until recently, and what most
examples of this pattern look like -- so that is read rather than refused."""
objects = generation_service._options_in(
{"options": [{"label": "Rewrite", "description": "Replaces it whole."}, {"label": "Patch"}]}
)
strings = generation_service._options_in({"options": ["Rewrite", "Patch"]})
assert [(o.label, o.description) for o in objects] == [
("Rewrite", "Replaces it whole."),
("Patch", ""),
]
assert [(o.label, o.description) for o in strings] == [("Rewrite", ""), ("Patch", "")]
def test_an_option_that_is_neither_is_dropped_rather_than_stringified():
"""`{'a': 1}` rendered as a choice is worse than one choice fewer."""
options = generation_service._options_in({"options": ["ok", 7, None, {"nope": 1}, ""]})
assert [o.label for o in options] == ["ok"]
def test_too_many_options_are_cut_off():
options = generation_service._options_in({"options": [f"o{i}" for i in range(20)]})
assert len(options) == interaction.MAX_OPTIONS
def test_the_parser_never_adds_something_else_itself():
"""It belongs to the template, which adds it to every question and owns the
box behind it. In the data it would be indistinguishable from one the model
wrote -- and the model is told not to write one precisely because this row
already exists."""
options = generation_service._options_in({"options": ["Tea", "Coffee"]})
assert all(o.label != "Something else" for o in options)
assert all(o.label != interaction.OTHER for o in options)
async def test_whether_several_may_be_chosen_survives_into_the_card(db, user_id, monkeypatch):
"""Through the real loop, because the flag has to reach `Item` -- reading it
off the arguments and never passing it on would look identical here."""
import json as _json
chat_id, message_id = _chat_that_can_ask(db, user_id)
arguments = _json.dumps(
{
"questions": [
{"question": "Which of these?", "options": ["a", "b"], "multiple": True},
{"question": "And which one?", "options": ["c", "d"]},
]
}
)
chunk = {
"choices": [
{
"delta": {
"tool_calls": [
{
"index": 0,
"id": "c1",
"function": {"name": "ask_user", "arguments": arguments},
}
]
}
}
]
}
monkeypatch.setattr(
generation_service, "stream_chat", _stub_stream([[chunk], [_text_chunk("ok")]], [])
)
generation = generation_service.Generation(chat_id=chat_id, message_id=message_id)
task = asyncio.create_task(generation_service._run(generation))
pending = await _until_paused(generation)
assert pending.items[0].multiple is True
# Exclusive is the default: a radio group offered where checkboxes were
# meant costs one clarifying round, while checkboxes offered for
# alternatives invite an answer that contradicts itself.
assert pending.items[1].multiple is False
pending.resolve(interaction.ANSWER, answers={"q0": "a", "q1": "c"})
await task
def test_several_ticked_answers_all_come_back(client, db, registered, user_id):
"""A `multiple` question posts the same field name once per ticked box. The
old reader kept the first and lost the rest, which is an answer that says
something the reader did not."""
chat_id, _message_id = _chat_that_can_ask(db, user_id)
seen: dict = {}
from lembas.api import chats as chats_api
original = chats_api.generation_service.answer
chats_api.generation_service.answer = lambda chat, iid, *, verdict="", answers=None: (
seen.update(answers=answers) or True
)
try:
client.post(
f"/api/chats/{chat_id}/interaction/p1",
data={"choice.q0": ["Tea", "Coffee"], "text.q0": ""},
)
finally:
chats_api.generation_service.answer = original
assert seen["answers"] == {"q0": "Tea, Coffee"}
def test_something_else_ticked_with_an_empty_box_says_nothing(client, db, registered, user_id):
"""Rather than telling the model the answer is "__other__", which is exactly
the shape of thing it would try to act on."""
chat_id, _message_id = _chat_that_can_ask(db, user_id)
seen: dict = {}
from lembas.api import chats as chats_api
original = chats_api.generation_service.answer
chats_api.generation_service.answer = lambda chat, iid, *, verdict="", answers=None: (
seen.update(answers=answers) or True
)
try:
client.post(
f"/api/chats/{chat_id}/interaction/p1",
data={"choice.q0": interaction.OTHER, "text.q0": " "},
)
finally:
chats_api.generation_service.answer = original
assert seen["answers"] == {}
def test_a_ticked_option_and_something_else_come_back_together(client, db, registered, user_id):
chat_id, _message_id = _chat_that_can_ask(db, user_id)
seen: dict = {}
from lembas.api import chats as chats_api
original = chats_api.generation_service.answer
chats_api.generation_service.answer = lambda chat, iid, *, verdict="", answers=None: (
seen.update(answers=answers) or True
)
try:
client.post(
f"/api/chats/{chat_id}/interaction/p1",
data={"choice.q0": ["Tea", interaction.OTHER], "text.q0": "or juice"},
)
finally:
chats_api.generation_service.answer = original
assert seen["answers"] == {"q0": "Tea, or juice"}