brain-of-reese/tests/e2e/test_harness_aligned_tools.py

"""Phase 70 E2E (Playwright, mock-only): the harness-aligned tool surface
(``ls`` / ``read(path)`` / ``grep(pattern, path?)``).

Story: ``.agents/user_stories/agent-document-tools.md`` (phase 70 reshapes
the tools that story delivered — owner decision 2026-09-03: "match
existing harnesses as much as possible", the pi.dev tool shapes).
Run in isolation (DB must be up: ``podman compose up -d db``):

    uv run pytest tests/e2e/test_harness_aligned_tools.py -v --no-cov

MOCK-ONLY suite: ``E2E_REAL_LLM=1`` is not supported — the gate is the
deterministic marker flows in ``tests/e2e/mock_llm.py`` (phase 70: the
flows emit the NEW names with the NEW argument shapes):

* the READ flow (``use your tools`` (``TOOLS_TRIGGER``) + the HIGH
  prompt's ``<tools>`` section; phase 94: the drill-down ``ls`` — the
  top level lists sources only, so the flow drills one level before the
  first file line exists): ``ls`` (id ``call_0``, no arguments) → the
  drill ``ls`` scoped to the first source of the listing
  (id ``call_1``) → ``read`` on the JOINED combined ``source/path`` of
  the first file line (id ``call_2``) → the ``Read <source/path>.
  <quote>`` answer;
* the SEARCH flow (``search your documents`` (``SEARCH_TRIGGER``) + the
  ``<tools>`` section): ``grep`` with ``{"pattern": SEARCH_PATTERN}``
  (id ``call_0``) → the ``Found <matched line>`` answer.

The combined ``source/path`` string is the canonical document identity:
the mock joins the two labeled catalog fields itself (the catalog
format is unchanged), and the SSE ``tool`` frames carry exactly what the
model "passed" — ``read``'s combined path, ``grep``'s pattern, ``ls``'s
scope or null when unscoped (the phase-70 argument rule).

KB fixtures:

* READ flow — the ``test_agent_document_tools.py`` two-document pair
  (TRUNCATE-then-seed): ``Homelab/aws-route53.md`` seeded with one
  chunk whose embedding is the mock's own bag-of-words vector (the
  marker question cosines ≈0.69 against it, well past the E2E 0.30
  threshold, and it FTS-matches too → grounded) and
  ``Deployments/example-record-file.json`` indexed WITHOUT chunks (the
  catalog-first line the mock reads; never in the retrieval context).
* SEARCH flow — the phase-68 fixture (``tests/fixtures/search_docs/``)
  imported through the real importer, its line 6 carrying the sentinel
  ``reese-sentinel-42`` exactly once (``test_search_tool.py`` pattern).

Test → phase mapping (Playwright Mapping Rule):
1. ``test_read_flow_lines_answer_sources_no_raw_markup`` — the
   grounded READ turn: the UI shows the unscoped ``ls`` line ("🔎
   Listing documents", no argument), the drill line ("🔎 Listing
   documents in <source>" — phase 94, the source in a ``<code>``
   element), then the "📄 Reading <source/path>" line with the
   combined path in a ``<code>`` element, the answer streams and quotes
   the read document, the done-state sources include the read document,
   and NO raw tool markup (``<|…|>``, ``tool_call``) appears anywhere
   in the DOM — the live incident this phase fixes.
2. ``test_grep_flow_line_then_answer`` — the grounded SEARCH turn: the
   "🔎 Searching for <pattern>" line (sentinel in ``<code>``) then the
   matched-line answer.
3. ``test_wire_argument_rule_across_both_flows`` — the SSE wire across
   BOTH flows in one session: every ``tool`` frame's name is in
   {``ls``, ``read``, ``grep``} (no pre-phase-70 name ever reaches the
   client) and the argument rule holds — ``read`` → the combined path
   as passed, ``grep`` → the pattern, ``ls`` → null when unscoped.
"""
from __future__ import annotations

import asyncio
import hashlib
import json
import time
from datetime import UTC, datetime
from pathlib import Path
from threading import Thread
from typing import Any

from playwright.sync_api import Page, expect
from sqlalchemy import text
from sqlalchemy.orm import Session

from app.config import Settings
from app.db import SessionLocal
from app.models import Chunk, Document, GitSource
from app.rag.importer import ImportSummary, import_sources
from app.rag.llm import LLMClient
from e2e.auth_helpers import login
from tests.e2e.mock_llm import SEARCH_PATTERN, embed_text

REPO = Path(__file__).resolve().parents[2]
FIXTURES = REPO / "tests" / "fixtures" / "search_docs"

# --------------------------------------------------------------------------
# READ flow — the two-document pair (cf. test_agent_document_tools.py)
# --------------------------------------------------------------------------

SEED_SOURCE = "Homelab"
SEED_PATH = "aws-route53.md"
SEED_SP = f"{SEED_SOURCE}/{SEED_PATH}"

READ_SOURCE = "Deployments"
READ_PATH = "example-record-file.json"
READ_SP = f"{READ_SOURCE}/{READ_PATH}"

#: The retrievable document (the grounded seed context): the repeated
#: record-file lines carry the marker question's key tokens — verified
#: ≈0.69 cosine against the mock's embeddings (E2E threshold 0.30) plus
#: FTS hits.
ROUTE53_CONTENT = (
    "# AWS Route 53 Notes\n\n"
    "## Record file\n\n"
    + (
        "The aws route53 hosted zone for reeselink keeps every record in "
        "reseelink.json — the exact JSON shape of reeselink.json is "
        "documented in example-record-file.json.\n"
    )
    * 10
    + "\n## Sync job\n\n"
    "A cron job pushes reeselink.json to the aws route53 hosted zone "
    "every fifteen minutes; the diff is applied through the route53 api.\n"
)

#: The read document (the catalog-first line the mock reads; no chunks,
#: so retrieval never puts it in context). Its FIRST line is longer than
#: 80 chars, so the mock's first-80-chars quote content part is
#: newline-free (the rendered-text assertion matches it after the
#: phase-106 D5 date line).
RECORD_FILE_CONTENT = (
    '{ "version": 3, "comment": "ReeseLink hosted zone records — the exact '
    'JSON shape of reeselink.json",\n'
    '  "hosted_zone_id": "Z0RESEELINK01",\n'
    '  "record_sets": [\n'
    '    { "name": "www.reeselink.example", "type": "A", "ttl": 300,\n'
    '      "resource_records": [ { "value": "10.0.0.20" } ] },\n'
    '    { "name": "api.reeselink.example", "type": "CNAME", "ttl": 300,\n'
    '      "resource_records": [ { "value": "www.reeselink.example" } ] }\n'
    "  ]\n"
    "}\n"
)
assert "\n" not in RECORD_FILE_CONTENT[:63]  # the quote's content part stays one line

#: Carries ``TOOLS_TRIGGER`` (and nothing else — no multi-read, no
#: search, no other mock marker).
READ_QUESTION = (
    "Use your tools: what is the exact JSON shape of reeselink.json "
    "for my aws route53 hosted zone?"
)
for _other in (
    "read two documents",
    "search your documents",
    "write a long answer",
    "think in paragraphs",
    "think out loud",
    "show the end of your notes",
    "show me a table",
    "fail then answer",
    "always fail",
    "embed fail once",
    "pretend to think slowly",
):
    assert _other not in READ_QUESTION.lower(), _other

#: Phase 106 (D5): the read result's ``date:`` SECOND line rides into
#: the first-80-chars quote — the date line (the fixture's fixed
#: ``created_at`` UTC date part, 17 chars; its trailing newline renders
#: as a markdown soft break — no text between the date and the content)
#: + the first 63 content chars (80 − 17).
READ_ANSWER_PREFIX = f"Read {READ_SP}."
READ_ANSWER_QUOTE = "date: 2024-06-15" + RECORD_FILE_CONTENT[:63]


def _seed_read_pair(db: Session) -> None:
    """The two-document READ-flow KB (see the module docstring).

    Phase 94: the drill-down ``ls`` top level reads the registry —
    register BOTH sources (TRUNCATEd in ``_reset_db_read_pair``),
    ``Deployments`` FIRST (registry order ``(added_at, id)``): the
    mock's drill (first source of the listing) lands on the JSON file
    — the read the assertions expect. A non-empty table also ignores
    the operator's ``BOR_GIT_SOURCES`` fallback — deterministic.
    """
    # COMMIT between the inserts (not flush): ``added_at`` is
    # ``server_default now()`` — the transaction timestamp — and the
    # tie-break is the random uuid ``id``, so one-transaction rows order
    # nondeterministically.
    db.add(GitSource(url=READ_SOURCE, kind="local"))
    db.commit()
    db.add(GitSource(url=SEED_SOURCE, kind="local"))
    md = Document(
        source=SEED_SOURCE,
        path=SEED_PATH,
        full_path=f"/tmp/{SEED_PATH}",
        title="AWS Route 53 Notes",
        content=ROUTE53_CONTENT,
        content_hash=hashlib.sha256(ROUTE53_CONTENT.encode()).hexdigest(),
        indexed_at=datetime.now(UTC),
        # Phase 106 (D5): explicit dates — byte-stable prompts/quotes
        # (the mock's first-80-chars read quote carries the date line).
        created_at=datetime(2024, 6, 15, tzinfo=UTC),
    )
    db.add(md)
    db.flush()
    # One chunk carrying the mock's own embedding → genuine token
    # overlap between the marker question and this document (the only
    # retrievable document).
    db.add(
        Chunk(
            document_id=md.id,
            position=0,
            content=ROUTE53_CONTENT,
            embedding=embed_text(ROUTE53_CONTENT),
        )
    )
    db.add(
        Document(
            source=READ_SOURCE,
            path=READ_PATH,
            full_path=f"/tmp/{READ_PATH}",
            title="Example Record File",
            content=RECORD_FILE_CONTENT,
            content_hash=hashlib.sha256(RECORD_FILE_CONTENT.encode()).hexdigest(),
            indexed_at=datetime.now(UTC),
            created_at=datetime(2024, 6, 15, tzinfo=UTC),
        )
    )


# --------------------------------------------------------------------------
# SEARCH flow — the phase-68 fixture (cf. test_search_tool.py)
# --------------------------------------------------------------------------

SEED_SOURCE_S = "search_docs"
SEED_PATH_S = "reese-notes.md"
SEED_SP_S = f"{SEED_SOURCE_S}/{SEED_PATH_S}"

#: The fixture's sentinel line (line 6) — the mock's grep matches it
#: exactly once; its ``text`` part is what the "Found …" answer quotes.
SENTINEL_LINE = f"The offsite vault passphrase marker is {SEARCH_PATTERN}."
FOUND_ANSWER = f"Found {SENTINEL_LINE[:80]}"

#: Carries ``SEARCH_TRIGGER`` and is on-topic (cosine ≈0.51 against the
#: fixture + FTS hits → HIGH gate, the ``<tools>`` section rides along).
SEARCH_QUESTION = (
    "Search your documents for the vault passphrase marker in my homelab "
    "kubernetes backup notes?"
)
assert SEARCH_PATTERN.lower() not in SEARCH_QUESTION.lower()


def _pin_fixture() -> None:
    """The fixture carries the sentinel on line 6, exactly once."""
    content = (FIXTURES / SEED_PATH_S).read_text(encoding="utf-8")
    lines = content.split("\n")
    assert lines[5] == SENTINEL_LINE, lines[5]
    assert sum(SEARCH_PATTERN in line for line in lines) == 1


# --------------------------------------------------------------------------
# DB seeding (TRUNCATE-then-seed / TRUNCATE-then-import)
# --------------------------------------------------------------------------


async def _import_search_fixtures(mock_port: int) -> ImportSummary:
    kwargs: dict[str, Any] = {
        "_env_file": None,
        "llm_base_url": f"http://127.0.0.1:{mock_port}/v1",
    }
    settings = Settings(**kwargs)  # pyright: ignore[reportCallIssue]
    return await import_sources([FIXTURES], LLMClient(settings))


def _run_in_thread(coro: Any) -> Any:
    """Run a coroutine on a worker thread.

    Playwright's sync API keeps an asyncio loop running on the test
    thread, so ``asyncio.run`` cannot be called directly from a test
    body (the established house helper).
    """
    box: dict[str, Any] = {}

    def runner() -> None:
        try:
            box["value"] = asyncio.run(coro)
        except BaseException as e:  # noqa: BLE001 — re-raised on the test thread
            box["error"] = e

    t = Thread(target=runner)
    t.start()
    t.join()
    if "error" in box:
        raise box["error"]
    return box["value"]


def _reset_db_read_pair() -> None:
    """Truncate the KB (plus the prompt-shaping tables), then seed the
    two-document READ-flow pair. ``steering_notes`` / ``kb_overview``
    are truncated too, so the HIGH prompt is exactly ``<relevance>`` +
    ``<documents>`` + ``<tools>`` — byte-stable prompts, byte-stable
    answers."""
    with SessionLocal() as db:
        db.execute(
            text(
                "TRUNCATE chunks, documents, query_log, steering_notes, "
                "kb_overview, git_sources"
            )
        )
        db.commit()
        _seed_read_pair(db)
        db.commit()


def _reset_db_search_fixture(mock_port: int) -> None:
    """Truncate the KB (plus the prompt-shaping tables), then import the
    phase-68 search fixture through the real importer."""
    with SessionLocal() as db:
        db.execute(
            text("TRUNCATE chunks, documents, query_log, steering_notes, kb_overview")
        )
        db.commit()
    summary = _run_in_thread(_import_search_fixtures(mock_port))
    assert summary is not None and summary.added == 1, summary


# --------------------------------------------------------------------------
# Page helpers (the test_agent_document_tools.py pattern)
# --------------------------------------------------------------------------

#: Captures the raw SSE ``data:`` payloads of the /api/chat stream
#: (a response clone read in the background) — wire-level assertions
#: for the ``tool`` frames, independent of the UI rendering.
SSE_HOOK = """
() => {
  if (window.__sseInstalled) return;
  window.__sseInstalled = true;
  window.__sseFrames = [];
  const origFetch = window.fetch;
  window.fetch = async function (...args) {
    const res = await origFetch.apply(this, args);
    try {
      const url = typeof args[0] === 'string' ? args[0] : args[0].url;
      if (url.includes('/api/chat')) {
        res.clone().text().then((bodyText) => {
          for (const block of bodyText.split('\\n\\n')) {
            const line = block.trim();
            if (line.startsWith('data: ')) {
              window.__sseFrames.push(line.slice(6));
            }
          }
        });
      }
    } catch (e) { /* non-clonable responses: ignored */ }
    return res;
  };
}
"""


def _install_sse_hook(page: Page) -> None:
    page.evaluate(SSE_HOOK)


def _drain_frames(page: Page) -> list[dict]:
    """One turn's SSE frames: wait for that turn's ``done`` frame, then
    return EVERY frame captured since the last drain (the hook's
    background read appends the whole stream at once after it closes, so
    clearing-and-reading is race-free per turn)."""
    deadline = time.monotonic() + 10.0
    while True:
        raw = page.evaluate(
            "() => { const f = window.__sseFrames || []; "
            "window.__sseFrames = []; return f; }"
        )
        parsed = [json.loads(line) for line in raw if line]
        if any(f.get("type") == "done" for f in parsed):
            return parsed
        if time.monotonic() > deadline:
            raise AssertionError(
                f"SSE hook captured no `done` frame (frames so far: "
                f"{len(parsed)}) — hook install failed?"
            )
        time.sleep(0.05)


def _tool_frames(frames: list[dict]) -> list[dict]:
    return [f for f in frames if f.get("type") == "tool"]


def _submit(page: Page, question: str) -> None:
    page.fill("#message-input", question)
    page.click("#send-btn")
    # The user bubble lands synchronously with the submit handler.
    expect(page.locator(".msg.user .bubble").last).to_contain_text(question)


def _wait_settled(page: Page) -> None:
    """The turn is complete: answer text in the bubble, button recovered.

    Phase 48: the label assertion carries the settle wait with an
    explicit timeout — the in-flight button is the enabled Stop control
    (never disabled), so ``to_be_enabled`` no longer blocks until the
    turn settles."""
    expect(page.locator(".msg.brain .bubble").last).not_to_have_text("", timeout=30_000)
    expect(page.locator("#send-btn")).to_be_enabled(timeout=30_000)
    expect(page.locator("#send-label")).to_have_text("Send", timeout=30_000)


# --------------------------------------------------------------------------
# 1. The grounded READ turn: ls line → Reading line → quoted answer,
#    sources include the read doc, no raw tool markup anywhere in the DOM
# --------------------------------------------------------------------------


def test_read_flow_lines_answer_sources_no_raw_markup(
    page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
    page.set_default_timeout(30_000)
    _reset_db_read_pair()
    login(page, app_url, next="/")
    _install_sse_hook(page)

    _submit(page, READ_QUESTION)
    _wait_settled(page)

    # The UI shows the ls line (UNSCOPED — no argument, no <code>),
    # the drill line (phase 94 — the source in a <code> element), then
    # the "📄 Reading <source/path>" line with the COMBINED path in a
    # <code> element (the path is data, never markup).
    lines = page.locator(".msg.brain .tool-call")
    expect(lines).to_have_count(3)
    expect(lines.nth(0)).to_contain_text("Listing documents")
    expect(lines.nth(0).locator("code")).to_have_count(0)
    expect(lines.nth(1)).to_contain_text("Listing documents in")
    expect(lines.nth(1).locator("code")).to_have_text(READ_SOURCE)
    expect(lines.nth(2)).to_contain_text("Reading ")
    expect(lines.nth(2).locator("code")).to_have_text(READ_SP)

    # The answer streamed and quotes the read document (the mock's
    # deterministic echo: "Read <source/path>. <first 80 chars>").
    bubble = page.locator(".msg.brain .bubble").last
    expect(bubble).to_contain_text(READ_ANSWER_PREFIX)
    expect(bubble).to_contain_text(READ_ANSWER_QUOTE)

    # Wire level: ls, the drill ls scoped to the first source (phase
    # 94), then read — the phase-70 argument rule (ls unscoped → null;
    # scoped ls → the source name; read → the combined path as passed)
    # — ahead of the first delta.
    frames = _drain_frames(page)
    assert _tool_frames(frames) == [
        {"type": "tool", "name": "ls", "argument": None},
        {"type": "tool", "name": "ls", "argument": READ_SOURCE},
        {"type": "tool", "name": "read", "argument": READ_SP},
    ]
    first_delta = next(i for i, f in enumerate(frames) if f.get("type") == "delta")
    assert all(
        i < first_delta for i, f in enumerate(frames) if f.get("type") == "tool"
    )
    done = next(f for f in frames if f.get("type") == "done")
    assert done["deflected"] is False
    # Phase 119 (LOCKED A1): done.sources = the READ docs only —
    # exactly the scripted read; the retrieval (seed) doc was never
    # read, so it never cites (the retired phase-118 A4 union is gone).
    assert [(s["source"], s["path"]) for s in done["sources"]] == [
        (READ_SOURCE, READ_PATH),
    ]

    # The live incident this phase fixes: NO raw tool markup anywhere in
    # the DOM — the model's trained wire shapes (<|tool_call_…|>,
    # "tool_calls", finish_reason) must never leak into the rendered
    # conversation.
    dom = page.locator("#messages").inner_html()
    for raw in ("<|", "tool_call", "tool_calls", "finish_reason"):
        assert raw not in dom, f"raw tool markup {raw!r} leaked into the DOM"


# --------------------------------------------------------------------------
# 2. The grounded SEARCH turn: the "🔎 Searching for <pattern>" line,
#    then the matched-line answer
# --------------------------------------------------------------------------


def test_grep_flow_line_then_answer(
    page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
    _pin_fixture()
    page.set_default_timeout(30_000)
    _reset_db_search_fixture(mock_llm)
    login(page, app_url, next="/")
    _install_sse_hook(page)

    _submit(page, SEARCH_QUESTION)
    _wait_settled(page)

    # ONE tool line above the answer: "🔎 Searching for " + the sentinel
    # in a <code> element (the pattern is data, never markup).
    lines = page.locator(".msg.brain .tool-call")
    expect(lines).to_have_count(1)
    expect(lines.nth(0)).to_contain_text("Searching for")
    expect(lines.nth(0).locator("code")).to_have_text(SEARCH_PATTERN)

    # The answer quotes the MATCHED LINE — the grep result reached the
    # model and landed in the answer (the mock's deterministic echo).
    bubble = page.locator(".msg.brain .bubble").last
    expect(bubble).to_contain_text(FOUND_ANSWER)

    # Wire level: exactly ONE tool frame — grep carrying the PATTERN as
    # its argument (the phase-70 argument rule) — ahead of the first
    # delta; the turn is grounded.
    frames = _drain_frames(page)
    assert _tool_frames(frames) == [
        {"type": "tool", "name": "grep", "argument": SEARCH_PATTERN}
    ]
    first_delta = next(i for i, f in enumerate(frames) if f.get("type") == "delta")
    assert all(
        i < first_delta for i, f in enumerate(frames) if f.get("type") == "tool"
    )
    done = next(f for f in frames if f.get("type") == "done")
    assert done["deflected"] is False


# --------------------------------------------------------------------------
# 3. The SSE wire across BOTH flows: every tool frame carries a
#    phase-70 name and the single-string argument rule
# --------------------------------------------------------------------------


def test_wire_argument_rule_across_both_flows(
    page: Page, app_url: str, mock_llm: int, db_ready: None
) -> None:
    _pin_fixture()
    page.set_default_timeout(30_000)
    _reset_db_read_pair()
    login(page, app_url, next="/")
    _install_sse_hook(page)

    # Turn 1 — the READ flow (ls → read on the combined path).
    _submit(page, READ_QUESTION)
    _wait_settled(page)
    read_frames = _drain_frames(page)

    # Turn 2 — re-seed the search fixture, then the SEARCH flow (grep
    # for the sentinel). The app's chat path is single-turn (system +
    # user message), so the first turn cannot influence this one.
    _reset_db_search_fixture(mock_llm)
    _submit(page, SEARCH_QUESTION)
    _wait_settled(page)
    search_frames = _drain_frames(page)

    read_tools = _tool_frames(read_frames)
    search_tools = _tool_frames(search_frames)
    # The ordered, combined tool-frame sequence across both flows: the
    # argument rule end-to-end — the drill ls (phase 94) → the source
    # name, read → the combined path as passed, grep → the pattern,
    # ls → null when unscoped.
    assert read_tools + search_tools == [
        {"type": "tool", "name": "ls", "argument": None},
        {"type": "tool", "name": "ls", "argument": READ_SOURCE},
        {"type": "tool", "name": "read", "argument": READ_SP},
        {"type": "tool", "name": "grep", "argument": SEARCH_PATTERN},
    ]
    # No pre-phase-70 name ever reaches the client.
    for frame in read_tools + search_tools:
        assert frame["name"] in {"ls", "read", "grep"}, frame
        assert frame["argument"] is None or isinstance(frame["argument"], str)

    # And both turns answered (neither flow stalled at a tool round).
    assert next(f for f in read_frames if f["type"] == "done")["deflected"] is False
    assert next(f for f in search_frames if f["type"] == "done")["deflected"] is False