Brandon LiandClaude Opus 5
3cc7ddcc5c
scrollToLoad walks a progressively-loading list to the bottom before the steps that act on its items run. Stopping is two-part: no new matches appeared AND the container was already pinned to the bottom — counting alone stops early on a slow fetch. Hitting the scroll cap is reported rather than passed off as done, so a later step never works quietly on a partial list. The scrolling element is usually not the window. Lists like this live in a div with its own overflow, and scrolling the document does nothing at all, so the step walks up from a matched item to the ancestor that actually scrolls — overflow allows it and there is more content than fits — with containerSelector to name one outright when the guess is wrong. Verified against a page whose document also scrolls, which is the case that tells the two apart: it found the inner div and pulled 12 items up to 60 in 7 scrolls. waitFor gains `absent`, for waiting on something to go rather than arrive — a modal closing after a reset. It only accepts a genuine "selector matched nothing"; an unreachable extension looks the same from a distance and would otherwise satisfy the gate for the wrong reason, sending the next iteration into a page that still has the modal open. The locate queue carries a free-form options blob now, so a new kind of request stops meaning a new column each time. Also fixes a missing comma in the reset flow that broke the build. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
428 lines
18 KiB
Python
428 lines
18 KiB
Python
#!/usr/bin/env python3
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"""Automation runner — the process that makes dashboard buttons do something.
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Leave this running. It polls the dashboard for queued runs, and when one appears
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it works through that automation's steps, driving the real mouse and keyboard,
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reporting each step back so the page can show progress.
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python runner.py # against http://localhost:3000
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python runner.py --api http://vps:3000
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Steps come from the server, so adding a new button means editing
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lib/automations.ts — nothing here needs to change.
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Stop with Ctrl-C. A run in progress can be halted from the dashboard's Stop
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button; the runner notices between steps.
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"""
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import argparse
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import os
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import random
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import socket
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import sys
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import threading
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import time
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import actions
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import focus
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from clicker import Dashboard, DashboardError, NotFoundError
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POLL_SECONDS = 1.0
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HEARTBEAT_SECONDS = 2.0
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# Bumped whenever the step vocabulary or the locate protocol changes. Reported in
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# the heartbeat so the dashboard can say "restart your runner" instead of letting
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# a stale process fail on a step type it has never heard of.
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VERSION = "0.16.0"
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# Shared with the heartbeat thread: whether a run is currently executing.
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_busy = threading.Event()
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def heartbeat_loop(dash: Dashboard, opts, stop: threading.Event) -> None:
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"""Check in on our own thread.
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Deliberately not folded into the main poll loop: a single step can block for
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twenty seconds waiting on the extension, and a runner that goes quiet that
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long would show as offline in the middle of the run it is executing.
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"""
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payload = {"host": socket.gethostname(), "pid": os.getpid(),
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"dryRun": opts.dry_run, "version": VERSION}
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while not stop.is_set():
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try:
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dash._request("/api/autobuyer/runner", "POST", {**payload, "busy": _busy.is_set()})
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except DashboardError:
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pass # the main loop reports connectivity; don't double up
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stop.wait(HEARTBEAT_SECONDS)
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def run_one_step(dash: Dashboard, step: dict, opts, rng, report, run_id: int | None = None) -> None:
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"""Dispatch a single step. Raises StepError / DashboardError on failure."""
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if step["action"] == "wait":
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time.sleep(float(step.get("seconds", 1)))
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report(f"waited {step.get('seconds', 1)}s")
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elif step["action"] == "navigate":
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# No mouse involved: the extension points the tab at the page and waits
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# for it to load. Locating <body> confirms it is really there.
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target = step.get("url", "")
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landed = dash.locate("body", 0, step.get("urlPattern", "") or opts.url,
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opts.timeout, step.get("openUrl", "") or "",
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navigate_url=target)
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# Navigating to a protected page is where an expired session shows up:
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# the site answers with a redirect to its login form.
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actions.check_signed_in(landed, step.get("signedOut", "") or "")
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report(f"tab is on {landed.get('url', target)}")
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elif step["action"] == "waitFor":
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# A gate, not an action: block until the element exists — or, with
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# `absent`, until it is gone. Nothing is clicked or typed. Whatever has to
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# change the page — a person solving a challenge, a modal closing itself,
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# a slow server — happens outside this run.
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selector = step["selector"]
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absent = bool(step.get("absent"))
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goal = "disappear" if absent else "appear"
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timeout_s = float(step.get("timeoutSeconds", 120))
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deadline = time.time() + timeout_s
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announced = False
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while True:
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# Long gates must still honour the dashboard's Stop button.
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if run_id is not None and run_status(dash, run_id) == "cancelled":
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raise actions.StepError("cancelled while waiting")
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try:
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dash.locate(selector, int(step.get("index", 0)),
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step.get("urlPattern", "") or opts.url,
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opts.timeout, step.get("openUrl", "") or "")
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if not absent:
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report(f"{selector} appeared")
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break
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# Still there. Keep waiting for it to go.
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except NotFoundError:
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if absent:
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report(f"{selector} is gone")
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break
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# Not there yet; keep waiting for it to arrive.
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except DashboardError:
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# A dead extension or an unreachable dashboard must not be read
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# as "the element is gone" — that would satisfy an absent gate
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# for entirely the wrong reason.
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pass
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if time.time() >= deadline:
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raise actions.StepError(
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f"{selector} did not {goal} within {timeout_s:.0f}s"
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)
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if not announced:
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report(f"waiting for {selector} to {goal} (up to {timeout_s:.0f}s)")
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announced = True
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time.sleep(2.0)
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elif step["action"] == "scrollToLoad":
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# Lists that load progressively need walking to the bottom before the
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# steps that act on their items can see everything.
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result = dash.locate(
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step["selector"], 0,
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step.get("urlPattern", "") or opts.url,
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max(opts.timeout, 120.0), # scrolling a long list outlasts a normal step
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step.get("openUrl", "") or "",
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options={
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"op": "scrollToLoad",
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"containerSelector": step.get("containerSelector", ""),
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"maxScrolls": int(step.get("maxScrolls", 25)),
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"settleMs": int(step.get("settleMs", 800)),
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},
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)
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found_n = result.get("after", 0)
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report(f"{found_n} match(es) after {result.get('scrolls', 0)} scroll(s) "
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f"of {result.get('container', '?')} (was {result.get('before', 0)})")
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if not result.get("exhausted"):
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# Stopping on the scroll cap is not a failure, but it does mean the
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# list may still have more below — worth saying so rather than
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# letting a later step quietly work on a partial list.
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report("hit the scroll limit — there may be more not loaded")
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elif step["action"] not in ("click", "type"):
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# Almost always a stale runner: the server defines the step vocabulary,
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# so a step type this process has never heard of means automations.ts has
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# moved on and this file has not been restarted.
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raise actions.StepError(
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f"unknown step action {step['action']!r} — this runner is "
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f"v{VERSION}; restart it to pick up newer step types"
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)
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else:
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try:
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actions.perform(
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dash,
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step["action"],
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step["selector"],
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index=int(step.get("index", 0)),
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url=step.get("urlPattern", "") or opts.url,
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open_url=step.get("openUrl", "") or "",
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signed_out=step.get("signedOut", "") or "",
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text=step.get("text"),
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clear=bool(step.get("clear")),
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scale=opts.scale,
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timeout=opts.timeout,
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rng=rng,
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activate=not opts.no_activate,
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dry_run=opts.dry_run,
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report=report,
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)
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except NotFoundError:
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# Only absence is skippable. A covered element, an off-screen target
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# or an unreachable extension still fails the run.
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if not step.get("skipIfNotFound"):
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raise
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report(f"{step['selector']} not present — skipped")
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def run_status(dash: Dashboard, run_id: int) -> str | None:
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"""Current status, so a wait can notice the dashboard's Stop button."""
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try:
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return dash._request(f"/api/autobuyer/runs?id={run_id}")["run"]["status"]
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except (DashboardError, KeyError):
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return None
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def wait_for_sign_in(dash: Dashboard, step: dict, run_id: int, opts, deadline: float) -> bool:
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"""Block until the tab leaves the login page.
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The runner does not log in — entering credentials is the human's job, and a
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keystroke aimed at the wrong field is not something to risk automating. All
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this does is watch the tab and pick the run back up once you are through.
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"""
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signed_out = step.get("signedOut", "") or ""
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pattern = step.get("urlPattern", "") or opts.url
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open_url = step.get("openUrl", "") or ""
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while time.time() < deadline:
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if run_status(dash, run_id) == "cancelled":
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return False
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time.sleep(3.0)
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try:
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landed = dash.locate("body", 0, pattern, opts.timeout, open_url)
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except DashboardError:
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continue # tab busy mid-redirect; look again shortly
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if signed_out not in (landed.get("url") or ""):
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return True
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return False
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def signed_in_now(dash: Dashboard, step: dict, opts, settle_seconds: float = 20.0) -> bool:
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"""Did we actually get back in?
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Auth steps can 'succeed' — every click landing — while the site still rejects
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the sign-in, so this confirms rather than assumes before the failed step is
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retried.
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It polls rather than checking once: submitting a login form starts a network
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round trip and then a redirect, so the tab is still sitting on the login URL
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for a second or two afterwards. Checking immediately reports a failure for a
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sign-in that is merely still in flight.
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"""
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signed_out = step.get("signedOut", "") or ""
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if not signed_out:
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return True
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deadline = time.time() + settle_seconds
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while True:
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try:
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landed = dash.locate("body", 0, step.get("urlPattern", "") or opts.url,
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opts.timeout, step.get("openUrl", "") or "")
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if signed_out not in (landed.get("url") or ""):
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return True
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except DashboardError:
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pass # mid-redirect the tab can be briefly un-injectable
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if time.time() >= deadline:
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return False
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time.sleep(1.0)
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def run_steps(dash: Dashboard, run: dict, opts) -> None:
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"""Work through one automation. Reports every step; stops on the first
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failure, because a half-completed purchase flow should not barrel on."""
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run_id = run["id"]
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steps = run["steps"]
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auth_steps = run.get("authSteps") or []
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rng = random.Random(opts.seed) if opts.seed is not None else random.Random()
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print(f"\n▶ run #{run_id} — {run['label']} ({len(steps)} steps)")
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for i, step in enumerate(steps):
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label = step.get("label") or f"{step['action']} {step.get('selector', '')}".strip()
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print(f" [{i + 1}/{len(steps)}] {label}")
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detail_parts: list[str] = []
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def report(message: str) -> None:
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detail_parts.append(message)
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print(f" {message}")
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# One retry after a sign-in: the session can only be expired once per step.
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for attempt in range(2):
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try:
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run_one_step(dash, step, opts, rng, report, run_id)
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break
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except actions.SignedOutError as exc:
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wait_seconds = float(step.get("signedOutWait", 0) or 0)
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# Scripted auth first, if the firm defines any; otherwise fall
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# back to pausing for a human. Only ever attempted once per step —
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# auth that "succeeds" without signing in would otherwise loop.
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if auth_steps and attempt == 0:
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post_progress(dash, run_id, i, f"signed out — running {len(auth_steps)} auth step(s)",
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False, exc.args[0])
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try:
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for astep in auth_steps:
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alabel = astep.get("label") or f"auth: {astep['action']}"
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print(f" [auth] {alabel}")
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run_one_step(dash, astep, opts, rng, report, run_id)
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except (actions.StepError, DashboardError) as aexc:
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msg = f"auth steps failed: {aexc}"
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post_progress(dash, run_id, i, label, False, msg)
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finish(dash, run_id, msg)
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print(f"✗ run #{run_id} stopped: {msg}", file=sys.stderr)
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return
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if not signed_in_now(dash, step, opts):
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msg = "auth steps ran but the session is still signed out"
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post_progress(dash, run_id, i, label, False, msg)
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finish(dash, run_id, msg)
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print(f"✗ run #{run_id} stopped: {msg}", file=sys.stderr)
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return
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report("signed in via auth steps — retrying")
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continue
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if wait_seconds <= 0 or attempt > 0:
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print(f" FAILED: {exc}", file=sys.stderr)
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post_progress(dash, run_id, i, label, False, str(exc))
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finish(dash, run_id, str(exc))
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print(f"✗ run #{run_id} stopped at step {i + 1}")
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return
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mins = wait_seconds / 60
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note = f"signed out — waiting up to {mins:.0f} min for you to log in"
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print(f" {note}", file=sys.stderr)
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post_progress(dash, run_id, i, note, False, exc.args[0])
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if not wait_for_sign_in(dash, step, run_id, opts, time.time() + wait_seconds):
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if run_status(dash, run_id) == "cancelled":
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print(f"■ run #{run_id} cancelled while waiting for sign-in")
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return
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msg = f"still signed out after {mins:.0f} min"
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post_progress(dash, run_id, i, label, False, msg)
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finish(dash, run_id, msg)
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print(f"✗ run #{run_id} gave up waiting for sign-in")
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return
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report("signed in — retrying the step")
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except (actions.StepError, DashboardError) as exc:
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print(f" FAILED: {exc}", file=sys.stderr)
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post_progress(dash, run_id, i, label, False, str(exc))
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finish(dash, run_id, str(exc))
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print(f"✗ run #{run_id} stopped at step {i + 1}")
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return
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status = post_progress(dash, run_id, i + 1, label, True, "; ".join(detail_parts) or None)
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# The dashboard's Stop button shows up here.
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if status == "cancelled":
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print(f"■ run #{run_id} cancelled from the dashboard")
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return
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finish(dash, run_id, None)
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print(f"✓ run #{run_id} complete")
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def post_progress(dash, run_id, step_index, step, ok, detail):
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try:
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res = dash._request("/api/autobuyer/runs/progress", "POST", {
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"id": run_id, "stepIndex": step_index, "step": step, "ok": ok, "detail": detail,
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})
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return res.get("status")
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except DashboardError as exc:
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print(f" (could not report progress: {exc})", file=sys.stderr)
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return None
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def finish(dash, run_id, error):
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try:
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dash._request("/api/autobuyer/runs/progress", "POST",
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{"id": run_id, "finish": True, "error": error})
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except DashboardError as exc:
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print(f" (could not report completion: {exc})", file=sys.stderr)
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__,
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formatter_class=argparse.RawDescriptionHelpFormatter)
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parser.add_argument("--api", default="http://localhost:3000", help="dashboard URL")
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parser.add_argument("--url", default="", help="fallback Chrome match pattern for steps that omit one")
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parser.add_argument("--timeout", type=float, default=45.0, help="seconds to wait for the extension per step (a cold page load takes time)")
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parser.add_argument("--scale", type=float, default=None, help="CSS-to-desktop pixel ratio")
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parser.add_argument("--seed", type=int, default=None, help="seed the motion RNG (debugging)")
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parser.add_argument("--dry-run", action="store_true", help="move the cursor through the steps but never press or type")
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parser.add_argument("--no-activate", action="store_true", help="do not raise the browser before each step")
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opts = parser.parse_args()
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try:
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import pyautogui # noqa: F401
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except ImportError:
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print("error: pyautogui is not installed — run: pip install -r requirements.txt", file=sys.stderr)
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return 1
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# Before anything asks the OS how big the screen is. No-op off Windows.
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dpi = focus.enable_dpi_awareness()
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if dpi:
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print(f" {dpi}")
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dash = Dashboard(opts.api)
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print(f"Runner watching {opts.api}" + (" [DRY RUN — nothing will be pressed]" if opts.dry_run else ""))
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print("Waiting for a run. Press a button on the AutoBuyer page. Ctrl-C to stop.")
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stop = threading.Event()
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beat = threading.Thread(target=heartbeat_loop, args=(dash, opts, stop), daemon=True)
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beat.start()
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idle_warned = False
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while True:
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try:
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claim = dash._request("/api/autobuyer/runs/claim", "POST", {})
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except DashboardError as exc:
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if not idle_warned:
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print(f" ({exc})", file=sys.stderr)
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idle_warned = True
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time.sleep(POLL_SECONDS * 3)
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continue
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idle_warned = False
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run = claim.get("run")
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if not run:
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time.sleep(POLL_SECONDS)
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continue
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_busy.set()
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try:
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run_steps(dash, run, opts)
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except Exception as exc: # keep the daemon alive
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print(f"✗ run failed unexpectedly: {exc}", file=sys.stderr)
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finish(dash, run["id"], f"runner error: {exc}")
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finally:
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_busy.clear()
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if __name__ == "__main__":
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try:
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sys.exit(main())
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except KeyboardInterrupt:
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print("\nstopped.")
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sys.exit(0)
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