Datasets:
File size: 8,500 Bytes
487088f | 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 | """Functional probe: call a running Gradio app's main endpoint(s) with inputs built from its API schema.
usage: probe.py URL [REPO_DIR] [OUT_DIR]
Inputs prefer the Space's own example files (an image/audio file shipped in the repo), else a synthetic one.
Helper endpoints (clear buttons, example loaders, lambdas) are tried last. A call only counts as ok if it returns
a non-empty result; returned files must exist and be non-empty. Output files are copied to OUT_DIR for review.
Prints one JSON line per endpoint tried."""
import json, math, re, shutil, struct, sys, tempfile, wave, zlib
from pathlib import Path
from gradio_client import Client
try:
from gradio_client import handle_file
except ImportError: # gradio_client < 1.0 (gradio 3.x / early 4.x) takes plain file paths
def handle_file(path):
return path
url = sys.argv[1]
repo = Path(sys.argv[2]) if len(sys.argv) > 2 and sys.argv[2] else None
outdir = Path(sys.argv[3]) if len(sys.argv) > 3 else None
tmp = Path(tempfile.mkdtemp())
IMG_EXT, AUD_EXT, VID_EXT = {".jpg", ".jpeg", ".png", ".webp"}, {".wav", ".mp3", ".flac", ".ogg"}, {".mp4"}
def png(path, w=256, h=256):
raw = b"".join(b"\x00" + b"".join(bytes((x % 256, y % 256, 128)) for x in range(w)) for y in range(h))
def chunk(t, d):
return struct.pack(">I", len(d)) + t + d + struct.pack(">I", zlib.crc32(t + d) & 0xffffffff)
path.write_bytes(b"\x89PNG\r\n\x1a\n" + chunk(b"IHDR", struct.pack(">IIBBBBB", w, h, 8, 2, 0, 0, 0)) +
chunk(b"IDAT", zlib.compress(raw)) + chunk(b"IEND", b""))
return path
def wav(path, secs=2.0, sr=16000):
with wave.open(str(path), "w") as f:
f.setnchannels(1); f.setsampwidth(2); f.setframerate(sr)
f.writeframes(b"".join(struct.pack("<h", int(8000 * math.sin(2 * math.pi * 440 * i / sr))) for i in range(int(secs * sr))))
return path
def repo_file(exts):
if not repo or not repo.exists():
return None
files = [p for p in repo.rglob("*") if p.is_file() and p.suffix.lower() in exts and ".git" not in p.parts
and 2_000 < p.stat().st_size < 5_000_000]
files.sort(key=lambda p: (not re.search(r"example|sample|demo|test|input", str(p), re.I), len(p.parts), str(p)))
return files[0] if files else None
IMG = repo_file(IMG_EXT) or png(tmp / "probe.png")
AUD = repo_file(AUD_EXT) or wav(tmp / "probe.wav")
VID = repo_file(VID_EXT)
TEXT = __import__("os").environ.get("SD_PROBE_TEXT", "a photo of a red apple on a wooden table")
def _swap_files(x, path):
"""Replace every file reference inside gradio's own example input with our file, keeping its structure."""
if isinstance(x, dict):
if x.get("meta", {}).get("_type") == "gradio.FileData" or ("path" in x and ("url" in x or "orig_name" in x)):
return handle_file(str(path))
return {k: _swap_files(v, path) for k, v in x.items()}
if isinstance(x, list):
return [_swap_files(v, path) for v in x]
return x
def value_for(p):
comp = (p.get("component") or "").lower()
ex = p.get("example_input")
want = __import__("os").environ.get("SD_PROBE_CHOICE")
if want and comp in ("dropdown", "radio"): # pick a specific option (e.g. the language that matches the example clip)
ch = (p.get("type") or {}).get("enum") if isinstance(p.get("type"), dict) else None
hit = next((c for c in (ch or []) if want.lower() in str(c).lower()), None)
if hit is not None:
return hit
if ex is not None and not p.get("parameter_has_default"):
# gradio publishes a schema-valid example per input; use it, with the Space's own media where it has some
f = IMG if comp in ("image", "imageeditor", "sketchpad", "annotatedimage", "gallery", "imageslider", "file", "uploadbutton") \
else AUD if comp in ("audio", "microphone") else (VID or IMG) if comp == "video" else None
if f is not None:
return _swap_files(ex, f)
if isinstance(ex, str) and comp in ("textbox", "textarea", "text") and ex.strip().lower() in ("", "hello!!", "hello"):
return TEXT
return ex
t = p.get("python_type", {}).get("type", "") if isinstance(p.get("python_type"), dict) else str(p.get("python_type"))
if comp in ("image", "imageeditor", "sketchpad", "annotatedimage", "gallery", "imageslider"):
v = handle_file(str(IMG))
return {"background": v, "layers": [], "composite": v} if comp in ("imageeditor", "sketchpad") else ([v] if comp == "gallery" else v)
if comp == "multimodaltextbox":
return {"text": TEXT, "files": []}
if comp == "dataframe":
return p.get("parameter_default") if p.get("parameter_has_default") else {"headers": ["a"], "data": [["1"]]}
if comp == "colorpicker":
return "#ff0000"
if comp in ("audio", "microphone"):
return handle_file(str(AUD))
if comp == "video":
return {"video": handle_file(str(VID))} if VID else handle_file(str(IMG))
if p.get("parameter_has_default"):
return p.get("parameter_default")
if comp in ("file", "uploadbutton", "model3d"):
return handle_file(str(IMG))
if comp in ("slider", "number"):
return 1
if comp == "checkbox":
return False
if comp in ("dropdown", "radio"):
ch = (p.get("type") or {}).get("enum") if isinstance(p.get("type"), dict) else None
return ch[0] if ch else None
if comp == "chatbot":
return []
if "str" in t or comp in ("textbox", "text", "textarea", "code", "markdown"):
return TEXT
if "float" in t or "int" in t:
return 1
if "bool" in t:
return False
return None
HELPER = re.compile(r"lambda|clear|reset|example|update|change|load|select|toggle|show|hide|refresh|random|upload|login", re.I)
RICH = {"image", "audio", "video", "textbox", "gallery", "file", "chatbot", "model3d", "imageeditor", "sketchpad"}
def rank(item):
name, spec = item
comps = {(p.get("component") or "").lower() for p in spec.get("parameters", [])}
return (bool(HELPER.search(name)), name != "/predict", -len(comps & RICH), name)
def files_in(x):
if isinstance(x, str):
return [x] if len(x) < 1000 and Path(x).is_file() else []
if isinstance(x, dict):
return [f for v in x.values() for f in files_in(v)]
if isinstance(x, (list, tuple)):
return [f for v in x for f in files_in(v)]
return []
def empty(x):
if x is None:
return True
if isinstance(x, str):
return not x.strip()
if isinstance(x, (list, tuple, dict)):
return len(x) == 0 or all(empty(v) for v in (x.values() if isinstance(x, dict) else x))
return False
try:
c = Client(url, verbose=False)
except TypeError: # very old clients have no verbose flag
c = Client(url)
info = c.view_api(return_format="dict", print_info=False)
eps = sorted(info.get("named_endpoints", {}).items(), key=rank)[:3]
if not eps: # old apps without api_name expose endpoints by index only
eps = sorted(((f"fn_index:{k}", v) for k, v in (info.get("unnamed_endpoints") or {}).items()), key=rank)[:3]
if not eps:
print(json.dumps({"endpoint": None, "ok": False, "error": "no endpoints"}))
for name, spec in eps:
args = [value_for(p) for p in spec.get("parameters", [])]
shown = [str(a.get("path") if isinstance(a, dict) and "path" in a else a)[:80] for a in args]
try:
out = c.predict(*args, fn_index=int(name.split(":")[1])) if name.startswith("fn_index:") else c.predict(*args, api_name=name)
fs = files_in(out)
bad = [f for f in fs if Path(f).stat().st_size == 0]
ok = not empty(out) and not bad
saved = []
if ok and outdir and fs:
outdir.mkdir(parents=True, exist_ok=True)
for i, f in enumerate(fs[:4]):
dst = outdir / f"{name.strip('/').replace('/', '_') or 'out'}_{i}{Path(f).suffix}"
shutil.copy(f, dst)
saved.append(dst.name)
print(json.dumps({"endpoint": name, "ok": ok, "helper": bool(HELPER.search(name)), "inputs": shown,
"output_summary": repr(out)[:400], "files": saved,
**({"error": "empty or zero-byte output"} if not ok else {})}), flush=True)
if ok and not HELPER.search(name):
break
except Exception as e:
print(json.dumps({"endpoint": name, "ok": False, "inputs": shown, "error": repr(e)[:500]}), flush=True)
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