| name | drive-tui |
| description | Drive interactive terminal (TUI) programs — CLIs, REPLs, installers, menu apps, agent CLIs, and editors like vim — through a PTY, reading semantic screen snapshots. A pattern library classifies a screen (REPL, menu, pager, fzf search, confirm dialog, form, spinner, wizard) and drives it with a ready recipe. Use when a program expects a live terminal (arrow-key menus, prompts, spinners, password fields, curses UIs), or when a piped command hangs or prints nothing. |
| allowed-tools | Bash, Read |
| version | 0.1.0 |
drive-tui
Drive interactive terminal programs the way a human does: look at the screen, decide, press keys, wait, look again. A normal subprocess/pipe can't do this — line-buffered pipes hide menus, spinners, and prompts, and many programs refuse to run without a real TTY. This skill uses smartcli_core (a PTY + pyte screen model + semantic snapshots + readiness waits) behind a thin CLI, scripts/tui.py.
When to use
- Launching a program that draws a full-screen or line-mode UI and expects keystrokes (REPLs, installers,
vim, agent CLIs, arrow-key menus, y/n prompts, password entry).
- A piped command hangs, prints nothing, or says "not a terminal".
- You need to see what an interactive program is showing right now, then act on it.
- Do NOT use for non-interactive commands whose full output you just want captured — run those directly.
Core mental model: the perceive → decide → act loop
Never fire keystrokes blind and never guess with sleep. Every interaction is one turn of this loop:
- Perceive — take a snapshot. Read the header line (cursor position, selected row, status bar, errors) and the row-numbered body.
- Decide — classify the screen: is it a menu, a text prompt, a confirmation, a spinner still loading, an error, or a finished result? Decide the single next action.
- Act — translate intent into key tokens and send them (
send-line, send-text, or keys).
- Wait — call
wait / wait-regex. NEVER sleep. The wait pumps output until the screen settles or an expected marker appears.
- Confirm — re-snapshot and verify the screen changed as expected before the next action.
Setup
scripts/tui.py adds the repo root to sys.path itself, so run it from anywhere. It needs smartcli_core importable (default: three levels up from the script) and the deps pyte + pywinpty (Windows) already installed. Override the repo location with SMARTCLI_ROOT if needed.
All commands below are shown from the repo root. Use the exact form:
python skills/drive-tui/scripts/tui.py <subcommand> ...
Two ways to drive
A. Persistent session (interactive, multi-turn) — the default
A detached daemon owns one live program; each command connects over a localhost-only socket, so state survives across separate shell calls. This is the real perceive→decide→act loop.
- Start (prints a session id — capture it):
python skills/drive-tui/scripts/tui.py start --cmd "python" --cols 100 --rows 30
- Wait for the first prompt, then snapshot is printed automatically:
python skills/drive-tui/scripts/tui.py wait-regex --id <SID> ">>> " --timeout-ms 15000
- Act, then wait, then it re-snapshots:
python skills/drive-tui/scripts/tui.py send-line --id <SID> "print(6*7)"
python skills/drive-tui/scripts/tui.py wait --id <SID>
- Snapshot any time without acting:
python skills/drive-tui/scripts/tui.py snapshot --id <SID>
Add --json for the structured Snapshot.to_json() form (selected span, menu_items, errors).
- Check liveness / list / close:
python skills/drive-tui/scripts/tui.py alive --id <SID> (exit 0 alive, 1 dead)
python skills/drive-tui/scripts/tui.py list
python skills/drive-tui/scripts/tui.py close --id <SID> (always close when done)
Subcommands: start, snapshot, send-text, send-line, keys, wait, wait-regex, alive, close, list. wait/wait-regex print liveness + reason to stderr and the snapshot to stdout.
B. One-shot script (batch, non-interactive)
When you already know the whole sequence, run it in a single process against a fresh program. No session to manage. Write a JSON list of steps to a file and run:
python skills/drive-tui/scripts/tui.py run --cmd "python" --steps steps.json --cols 100 --rows 30
Step objects (executed in order; each wait_*/snapshot prints a snapshot):
{"action":"send_text","text":"..."} — type literally, no Enter.
{"action":"send_line","text":"..."} — type + Enter.
{"action":"send_keys","keys":["Down","Down","Enter"]} — key tokens.
{"action":"wait_ready","marker":"regex"} — wait for marker OR stability (marker optional).
{"action":"wait_regex","pattern":"regex","timeout_ms":10000} — wait strictly for the regex.
{"action":"snapshot"} — print the current screen.
Reading a snapshot
to_text() output = one header line + row-numbered body:
[screen 24x80] cursor=r3c4 selected=r3[0:80]">>>"(cursor_line) status="..." errors=1
0 | Python 3.14.6 ...
3 | >>>
- Header:
cursor=rNcM, optional selected=..., status="...", title, errors=N, screen_reverse.
- Body:
<row><*>| text. A * marks a selected/highlighted row. Blank runs collapse to ....
selected_line is the key menu signal. In an arrow-key menu the highlighted (reverse-video / colored) row is the current choice — the snapshot surfaces it as the * row and in the header selected. Use it to know where the cursor sits before pressing Up/Down.
Deciding: classify the screen
- Prompt (
>>> , $ , Password:, Continue? [y/N]) → send the answer with send-line, or a single key with keys.
- Menu (a
*/selected row, list of options) → move with keys Up/keys Down, choose with keys Enter. Do not type the option text.
- Spinner / progress / still loading → do not act; call
wait again (it caps at max_wait_ms and returns the last screen).
- Error (
errors=N in header, red text, "Traceback"/"failed") → stop and read; do not keep sending input.
- Finished result → capture the snapshot; act or close.
Translating intent to keys (keys subcommand / send_keys)
Named tokens: Enter Tab BackTab Space Backspace Delete Escape Up Down Left Right Home End PageUp PageDown Insert F1–F12.
Combos: C-c / ^C (Ctrl+C), M-x (Alt+x). Anything else is sent literally.
- Menus/keys →
keys. Free text + submit → send-line. Text without submit (fills a field) → send-text.
send-line submits with \r. A raw-mode app that needs \n → use send-text "...\n".
Choosing the right wait — do NOT sleep
- Know the exact text that means "ready" (a prompt, a banner) →
wait-regex <pattern>. Prefer this. It watches strictly for the regex and will NOT return early.
- Don't know the marker (screen just needs to settle after a keystroke) →
wait (marker optional): returns on stability or a marker, capped by timeout.
- Startup gotcha: a program can sit quiet for seconds before its banner appears (Python's REPL banner arrives ~3s after spawn on Windows ConPTY). Plain
wait/wait_ready may declare STABLE on the still-blank screen during that gap. So for the FIRST prompt after start, use wait-regex with a generous --timeout-ms (e.g. 15000), not bare wait.
- Regex tips: match against the whole screen text. Anchoring with
$ needs multiline semantics — prefer a loose marker like ">>> " over ">>> $". Confirm the result with a follow-up snapshot.
Recovering when a program doesn't respond
- Re-
snapshot — confirm it actually didn't change (you may have missed output).
alive --id <SID> — if dead, the child exited; read the final snapshot for the reason, then close.
- Still alive but stuck: try
keys Enter (dismiss a pager/prompt) or keys Escape (leave a mode).
- Interrupt a running command:
keys C-c. Windows caveat: under ConPTY a raw Ctrl-C byte does NOT reliably raise an interrupt in a line-mode child (verified — time.sleep in the Python REPL was not interrupted). On Windows, if C-c fails, the reliable recovery is close --id <SID> and start a fresh session. On POSIX, C-c works normally.
- Always
close sessions you started (frees the daemon and the child).
Constraints / gotchas
- Never blind-
sleep to wait for output — use wait / wait-regex; they pump the PTY and have hard timeouts.
- Always re-snapshot after acting; the snapshot before your keystroke is stale.
- Navigation sequences are standard xterm/VT100 (normal cursor mode). An app in application-cursor-keys mode may need different Up/Down bytes — if arrows don't move the selection, re-snapshot and try
keys Down once more or use the app's letter/number shortcuts.
- The daemon binds
127.0.0.1 only — local process control, no network exposure.
- Paths above are relative to this skill's folder; run the script by its path from the repo root.
- Deeper API details: read
references/core_api.md only when you need field-level specifics.
Knowledge base — look before you build
Before scripting a new interaction or pattern, consult the SmartCLI knowledge graph at
D:/Project/SmartCLI/knowledge/INDEX.md. Its tui-patterns/ domain is a 1:1 conceptual
map of the 8 recipes below — [[list-menu-navigation]], [[fuzzy-search-filter]],
[[pager-navigation]], [[confirm-yes-no-dialog]], [[progress-spinner-waiting]],
[[form-field-input]], [[repl-session]], [[wizard-installer-flow]] — plus the sourced
foundations behind every gotcha in this skill: [[application-cursor-mode]] (the exact
arrow-keys-don't-move bug), [[quiescence-detection]] and [[snapshot-stability-hash]]
(how wait decides "settled"), [[key-encoding-reference]] (key tokens → bytes),
[[cursor-row-binding]] and [[verify-movement-step-by-step]] (why matches bind to the
cursor row and every action re-snapshots). Read the relevant note before inventing a
recipe from scratch.
Pattern library — classify a screen, drive it with a recipe
Above is the manual loop through scripts/tui.py. For recurring paradigms there is a Python pattern library (skills/drive-tui/patterns/) that recognizes a screen and drives it for you. It works on smartcli_core Snapshot/PtySession objects, so use it from Python (import patterns), not the tui.py CLI. Add skills/drive-tui to sys.path, or run from there.
Classify / explain a screen
classify(snapshot, threshold=0.05) -> [(Pattern, confidence), ...] — every registered pattern scored 0..1 against the snapshot, highest first. A pattern whose matches() raises is scored 0, never poisoning the ranking.
explain(snapshot) -> str — a human/agent-readable description: raw facts (size, cursor, highlighted row + reason, menu spans, status bar, errors, screen-reverse) followed by the ranked paradigms with confidences.
import sys; sys.path.insert(0, "skills/drive-tui")
from patterns import registry
from patterns.classify import classify, explain
snap = session.snapshot()
print(explain(snap))
best, conf = classify(snap)[0]
The 8 recipes (registry names → tags)
Live catalog: [p.name for p in registry.all_patterns()].
| name | drives | intent | tags |
|---|
repl | interactive REPL/shell prompt | one code line to run | repl, shell, prompt, interactive |
menu_select | arrow-key vertical menu | int index or substring | menu, list, navigation |
pager | less/more/man/git-log | to_end / next_page / search:<term> | pager, scroll |
search_filter | fzf / Ctrl-R / palette | the query string | fuzzy, filter, incremental |
confirm | [y/N] / (yes/no) dialog | bool (or yes/no string) | dialog, yesno |
form | labelled input fields | dict/list/str of field values | form, input |
progress | spinner / progress bar | optional completion regex | spinner, progress, wait |
wizard | multi-step installer | list of per-step actions | wizard, multistep, installer |
Call a recipe
Get the registered singleton and call .drive(session, intent, **kw). It runs the perceive→act→wait→confirm loop against the live session and returns a PatternResult(ok, detail, snapshot, data) — ok is a real screen assertion, snapshot is the last screen as evidence, data is the pattern-specific payload.
from patterns import registry
res = registry.get("repl").drive(session, intent="6*7")
assert res.ok; print(res.data["output"])
registry.get("menu_select").drive(session, intent="Charlie")
registry.get("menu_select").drive(session, intent=0, press=False)
registry.get("pager").drive(session, intent="to_end", max_pages=200)
registry.get("search_filter").drive(session, intent="grapef", stop_at=1, accept=True)
registry.get("confirm").drive(session, intent=True)
registry.get("form").drive(session, intent={"Name": "Ada", "Email": "a@b.c"})
registry.get("progress").drive(session, intent=r"DONE!", max_wait_ms=60000)
registry.get("wizard").drive(session, intent=[
{"keys": ["Down", "Enter"]}, {"pattern": "confirm", "value": True}, None])
Module-level convenience helpers: patterns.recipes.repl_session.run_line(session, code, **kw) and patterns.recipes.paginate.read_all(session, max_pages=200, key="Space") -> (text, PatternResult) (accumulates the pager's full text across pages, dedup'ing repainted boundary rows).
Recipe drive kwargs worth knowing:
repl: expect=<regex> (confirm a marker instead of waiting for STABLE), timeout_ms, quiet_ms, min_wait_ms.
menu_select: max_steps, settle_ms, press (send Enter, default True), enter_wait_ms.
pager: max_pages, key (Space|PageDown|f, default Space; f is the less/more forward-page key).
search_filter: incremental (default True), stop_at (match-count threshold, default 1), accept (Enter to pick), settle_ms.
form: next_key (default Tab), submit (default Enter); intent may be a dict, a list of (label, value), or a single string.
progress: max_wait_ms, quiet_ms (pure observer, sends no keys; returns timeout rather than a false complete if it never settles).
wizard: advance_key (default Enter), max_steps. Each intent item is {"pattern": name, "value": intent}, {"keys": [...]}, or None/{} for auto (classify + best recipe, fallback advance_key).
Recipes fail loud on bad params (empty/mistyped intent raises ValueError) rather than doing something silently wrong.
Add a NEW pattern
Drop one module in patterns/recipes/ — pkgutil auto-imports it and @register wires it into all_patterns/classify. A module that fails to import is logged (stderr + registry.load_errors()) and skipped; it never breaks the rest of the catalog. Avoid import-time side effects that can't fail-soft.
Contract (patterns/base.py):
- Subclass
Pattern; set name (lowercase, unique), description, tags.
matches(self, snapshot) -> float (0..1): cheap, no side effects. Bind signals to the CURSOR ROW and cell attributes (selected, menu_items, status_bar) — NOT bare body text, since prompts and [y/N] strings also echo in scrollback. Use the helpers Pattern.cursor_row_text(snap), Pattern.last_rows_text(snap, n), Pattern.visible_text(snap), Pattern.rx(pat, text, flags).
drive(self, session, intent=None, **kw) -> PatternResult: perceive→act→wait→confirm. NEVER blind-sleep; always re-snapshot after acting; always bound waits (wait_stable/wait_for with a hard ceiling). Return PatternResult(ok, detail, snapshot=<last snapshot>, data={...}) where ok is asserted from the screen.
- Decorate with
@patterns.registry.register above the class.
from smartcli_core import PtySession, Snapshot
from patterns.base import Pattern, PatternResult
from patterns import registry
@registry.register
class TabBar(Pattern):
name = "tabbar"
description = "a top tab bar; switch tabs with the arrow/Tab keys."
tags = ("tabs", "navigation")
def matches(self, snapshot: Snapshot) -> float:
row0 = next((e[1] for e in snapshot.lines if e != "..." and e[0] == 0), "")
return 0.8 if self.rx(r"\[.+\]\s+\[.+\]", row0) else 0.0
def drive(self, session: PtySession, intent=None, **kw) -> PatternResult:
before = session.snapshot()
session.send_keys(["Right"])
session.wait_stable(quiet_ms=120, max_wait_ms=1500)
after = session.snapshot()
moved = after.cursor != before.cursor
return PatternResult(ok=moved, detail="switched tab" if moved else "no move",
snapshot=after, data={"moved": moved})
Fault isolation is verified: a recipe module that crashes at import leaves all other recipes registered, and classify() is safe on a degenerate snapshot.
Worked example — driving the Python REPL (persistent session)
# 1. start -> capture the id it prints
$ python skills/drive-tui/scripts/tui.py start --cmd "python" --cols 80 --rows 24
s21576_90197
# 2. PERCEIVE the first prompt (wait-regex, generous timeout for the ~3s banner gap)
$ python skills/drive-tui/scripts/tui.py wait-regex --id s21576_90197 ">>> " --timeout-ms 15000
# matched=True alive=True
[screen 24x80] cursor=r3c4 selected=r3[0:80]">>>"(cursor_line)
0 | Python 3.14.6 ... on win32
2 | Type "help", "copyright", "credits" or "license" for more information.
3 | >>>
# 3. DECIDE: it's a prompt. ACT: send an expression. WAIT + CONFIRM.
$ python skills/drive-tui/scripts/tui.py send-line --id s21576_90197 "print(6*7)"
$ python skills/drive-tui/scripts/tui.py wait --id s21576_90197
[screen 24x80] cursor=r5c4 ...
3 | >>> print(6*7)
4 | 42
5 | >>>
# 4. done -> exit cleanly, then close the session
$ python skills/drive-tui/scripts/tui.py send-line --id s21576_90197 "exit()"
$ python skills/drive-tui/scripts/tui.py close --id s21576_90197
closed s21576_90197