File size: 7,789 Bytes
bee9bbb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 | """Capture public desktop candidates at the paths declared by the visual spec."""
from __future__ import annotations
import argparse
import json
import socket
import struct
import subprocess
import sys
import time
from contextlib import contextmanager
from dataclasses import dataclass
from pathlib import Path
from urllib.request import urlopen
SITE_ROOT = Path(__file__).resolve().parents[1]
SPEC_PATH = SITE_ROOT / "scope" / "desktop-visual-comparison-current.json"
VIEWPORT = {"width": 1692, "height": 979}
PUBLIC_ROUTE_DETAILS = {
"home.loaded.desktop": (
"/",
".home-promo-switcher",
".wb-header",
".wb-footer",
),
"browse.loaded.desktop": (
"/browse",
".source-browse-shell",
".wb-header",
".wb-footer",
),
"search.results.desktop": (
"/search?q=Deep+Learning",
".search-results-section",
".wb-header",
".wb-footer",
),
"specialization.loaded.desktop": (
"/specializations/deep-learning",
".source-specialization-hero",
".wb-header",
".wb-footer",
),
"course.loaded.desktop": (
"/learn/neural-networks-deep-learning",
".source-course-detail-hero",
".wb-header",
".wb-footer",
),
"login.loaded.desktop": (
"/login",
".source-login-dialog",
".wb-header",
".wb-footer",
),
"help.loaded.desktop": (
"/help",
".help-article",
".help-center-header",
".help-feedback",
),
"not-found.loaded.desktop": (
"/websitebench-not-found-33",
".source-not-found-page",
".wb-header",
".source-not-found",
),
}
@dataclass(frozen=True)
class CandidateCapture:
checkpoint_id: str
route: str
landmark: str
header: str
lower_landmark: str
output_path: Path
def _free_loopback_port() -> int:
with socket.socket() as listener:
listener.bind(("127.0.0.1", 0))
return int(listener.getsockname()[1])
@contextmanager
def _clone_server() -> str:
port = _free_loopback_port()
process = subprocess.Popen(
[
sys.executable,
"-m",
"uvicorn",
"app:app",
"--host",
"127.0.0.1",
"--port",
str(port),
],
cwd=SITE_ROOT / "clone",
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
base_url = f"http://127.0.0.1:{port}"
try:
for _ in range(50):
try:
with urlopen(f"{base_url}/healthz", timeout=0.2) as response:
if response.status == 200:
break
except OSError:
time.sleep(0.1)
else:
raise RuntimeError("the local clone did not become ready for capture")
yield base_url
finally:
process.terminate()
process.wait(timeout=5)
def _png_size(path: Path) -> tuple[int, int]:
with path.open("rb") as image:
if image.read(8) != b"\x89PNG\r\n\x1a\n":
raise ValueError(f"candidate is not a PNG: {path}")
if image.read(4) != b"\x00\x00\x00\r" or image.read(4) != b"IHDR":
raise ValueError(f"candidate has no PNG IHDR: {path}")
return struct.unpack(">II", image.read(8))
def declared_candidate_capture_plan() -> tuple[CandidateCapture, ...]:
"""Map every declared candidate input to its anonymous public route."""
spec = json.loads(SPEC_PATH.read_text(encoding="utf-8"))
captures: list[CandidateCapture] = []
for checkpoint in spec["checkpoints"]:
checkpoint_id = checkpoint["id"]
try:
route, landmark, header, lower_landmark = PUBLIC_ROUTE_DETAILS[
checkpoint_id
]
except KeyError as error:
raise ValueError(f"no public capture route for {checkpoint_id!r}") from error
output_path = (SPEC_PATH.parent / checkpoint["candidate"]["path"]).resolve()
expected_root = (SPEC_PATH.parent / "candidate-desktop").resolve()
if output_path.parent != expected_root:
raise ValueError(
f"{checkpoint_id}: candidate path must be inside {expected_root}"
)
captures.append(
CandidateCapture(
checkpoint_id,
route,
landmark,
header,
lower_landmark,
output_path,
)
)
return tuple(captures)
def capture_declared_candidates(*, overwrite: bool = False) -> list[dict[str, str]]:
"""Capture every declared candidate after verifying stable visual landmarks."""
captures = declared_candidate_capture_plan()
existing = [capture.output_path for capture in captures if capture.output_path.exists()]
if existing and not overwrite:
raise FileExistsError(
"refusing to overwrite visual candidates; re-run with --overwrite: "
+ ", ".join(str(path) for path in existing)
)
try:
from playwright.sync_api import sync_playwright
except ImportError as error: # pragma: no cover - dependency is declared
raise RuntimeError("Playwright is required to capture visual candidates") from error
results: list[dict[str, str]] = []
with sync_playwright() as runtime:
browser = runtime.chromium.launch()
context = browser.new_context(viewport=VIEWPORT, device_scale_factor=1)
try:
with _clone_server() as base_url:
for capture in captures:
capture.output_path.parent.mkdir(parents=True, exist_ok=True)
page = context.new_page()
try:
response = page.goto(base_url + capture.route, wait_until="networkidle")
if response is None or response.status not in {200, 404}:
raise RuntimeError(
f"{capture.checkpoint_id}: unexpected route response"
)
for selector in (
capture.header,
capture.landmark,
capture.lower_landmark,
):
if not page.locator(selector).is_visible():
raise RuntimeError(
f"{capture.checkpoint_id}: missing landmark {selector}"
)
page.screenshot(path=str(capture.output_path))
if _png_size(capture.output_path) != (1692, 979):
raise RuntimeError(
f"{capture.checkpoint_id}: screenshot was not 1692x979"
)
results.append(
{
"checkpoint_id": capture.checkpoint_id,
"candidate": str(capture.output_path),
}
)
finally:
page.close()
finally:
context.close()
browser.close()
return results
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--overwrite",
action="store_true",
help="replace prior local candidate screenshots",
)
args = parser.parse_args()
print(json.dumps(capture_declared_candidates(overwrite=args.overwrite), indent=2))
return 0
if __name__ == "__main__": # pragma: no cover - exercised as a local command
raise SystemExit(main())
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