Standardize on the .agents/ directory (shared with project skills): phases/, user_stories/, reports/, screenshots/, validate.sh, and phase-sessions/ + pipeline.log all move to .agents/ (git mv preserves history; runtime artifacts move alongside). Updates every reference in AGENTS.md, README.md, .gitignore, app docstrings, and test story headers. Historical KB content in data/ and the runtime pipeline.log transcript are left untouched.
134 lines
4.7 KiB
Python
134 lines
4.7 KiB
Python
"""Phase 11 E2E (Playwright): long answers stream to completion.
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Story: ``.agents/user_stories/long-answers.md``
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Run in isolation (DB must be up: ``podman compose up -d db``):
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uv run pytest tests/e2e/test_long_answers.py -v --no-cov
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The mock LLM honors ``max_tokens`` (token ≈ word) like a real endpoint,
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and emits a ~900-word deterministic answer for the "write a long answer"
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trigger. Under the old hard 700-token cap the answer loses its tail
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(the final line never arrives); with ``BOR_MAX_OUTPUT_TOKENS`` defaulting
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to 32 768 the full answer streams to completion.
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Test → story mapping (Playwright Mapping Rule):
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1. ``test_long_answer_streams_to_completion`` — trigger question →
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full ~900-word answer, final line intact, >700 words rendered.
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2. ``test_normal_answer_unaffected`` — a regular question still streams
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a complete short answer.
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"""
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from __future__ import annotations
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import asyncio
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from pathlib import Path
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from threading import Thread
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from typing import Any
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from playwright.sync_api import Page, expect
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from sqlalchemy import text
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from app.config import Settings
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from app.db import SessionLocal
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from app.rag.importer import ImportSummary, import_sources
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from app.rag.llm import LLMClient
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REPO = Path(__file__).resolve().parents[2]
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FIXTURES = REPO / "tests" / "fixtures" / "docs"
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LONG_QUESTION = "How is my Kubernetes cluster set up? write a long answer"
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NORMAL_QUESTION = "How is my Kubernetes cluster set up?"
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async def _import_fixtures(mock_port: int) -> ImportSummary:
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kwargs: dict[str, Any] = {"_env_file": None, "llm_base_url": f"http://127.0.0.1:{mock_port}/v1"}
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settings = Settings(**kwargs) # pyright: ignore[reportCallIssue]
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return await import_sources([FIXTURES], LLMClient(settings))
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def _run_in_thread(coro: Any) -> Any:
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"""Run a coroutine on a worker thread (Playwright owns the test loop)."""
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box: dict[str, Any] = {}
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def runner() -> None:
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try:
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box["value"] = asyncio.run(coro)
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except BaseException as e: # noqa: BLE001 — re-raised on the test thread
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box["error"] = e
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t = Thread(target=runner)
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t.start()
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t.join()
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if "error" in box:
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raise box["error"]
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return box["value"]
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def _reset_db(mock_port: int) -> ImportSummary:
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with SessionLocal() as db:
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db.execute(text("TRUNCATE chunks, documents, query_log"))
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db.commit()
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return _run_in_thread(_import_fixtures(mock_port))
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def _last_brain_text(page: Page) -> str:
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return page.locator(".msg.brain .bubble").last.inner_text()
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# ---------------------------------------------------------------------------
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# 1. Long answer: the final line must survive the stream
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# ---------------------------------------------------------------------------
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def test_long_answer_streams_to_completion(
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page: Page, app_url: str, mock_llm: int, db_ready: None
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) -> None:
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_reset_db(mock_llm)
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page.set_default_timeout(45_000)
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page.goto(app_url)
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page.fill("#message-input", LONG_QUESTION)
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page.click("#send-btn")
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# The mock streams ~900 words in ~8s; wait for the unique final line —
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# under the old 700-token cap it was cut off and never arrived.
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expect(page.locator(".msg.brain .bubble").last).to_contain_text(
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"LONG-ANSWER-END", timeout=60_000
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)
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full = _last_brain_text(page)
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# The old cap would have stopped the answer at 700 words — prove the
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# rendered answer ran well past it.
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assert len(full.split()) > 700, (
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f"answer looks truncated at {len(full.split())} words"
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)
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# First and last step both rendered (the markdown list strips the
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# "1." prefix — no mid-sentence cut between them either).
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assert "Step 1:" in full
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assert "Step 40:" in full
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# Turn settled: send button re-enabled (never-stale contract).
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expect(page.locator("#send-btn")).to_be_enabled()
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# ---------------------------------------------------------------------------
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# 2. Normal (short) answers are unaffected by the raised cap
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# ---------------------------------------------------------------------------
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def test_normal_answer_unaffected(
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page: Page, app_url: str, mock_llm: int, db_ready: None
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) -> None:
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_reset_db(mock_llm)
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page.set_default_timeout(30_000)
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page.goto(app_url)
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page.fill("#message-input", NORMAL_QUESTION)
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page.click("#send-btn")
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bubble = page.locator(".msg.brain .bubble").last
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expect(bubble).to_contain_text("Deterministic mock answer for E2E", timeout=30_000)
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expect(bubble).not_to_contain_text("LONG-ANSWER-END")
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# Grounded: the question's own document is cited as a chip.
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expect(
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page.locator(".msg.brain .source-chip", has_text="kubernetes.md")
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).to_have_count(1, timeout=30_000)
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expect(page.locator("#send-btn")).to_be_enabled()
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