Datasets:

kavyabhand
/

spacerot

"""Write the gallery's data files: data/summary.json, data/triage.json, data/cases.json, data/outputs/<space>/*.
usage: export_gallery.py DATA_DIR OUT_DIR"""
import json, re, shutil, subprocess, sys
from pathlib import Path

REDACT = [  # credential-shaped strings that appear inside third-party error logs (e.g. expired pre-signed URLs)
    (re.compile(r"(X-Amz-(?:Credential|Signature|Security-Token)(?:=|%3D|%253D))[^&%\s\"'\\]+(?:%2F[^&\s\"'\\]*)?"), r"\1[REDACTED]"),
    (re.compile(r"(sign(?:ature)?=)eyJ[A-Za-z0-9._-]+"), r"\1[REDACTED]"),
    (re.compile(r"eyJhbGci" r"Oi[A-Za-z0-9._-]+"), "[REDACTED_JWT]"),
    (re.compile(r"hf_[A-Za-z0-9]{30,}"), "hf_[REDACTED]"),
    (re.compile(r"sk-[A-Za-z0-9]{32,}"), "sk-[REDACTED]"),
    (re.compile(r"AKIA[0-9A-Z]{16}"), "AKIA[REDACTED]"),
]


def redact(text):
    for rx, rep in REDACT:
        text = rx.sub(rep, text)
    return text


D = Path(sys.argv[1] if len(sys.argv) > 1 else "/data")
out = Path(sys.argv[2] if len(sys.argv) > 2 else "/data/gallery/data")
out.mkdir(parents=True, exist_ok=True)
shutil.rmtree(out / "outputs", ignore_errors=True)  # only current revivals' outputs, never stale ones
def _efficiency():  # Beam's token efficiency, measured from every repair call's usage and the triage call
    import statistics
    rs, outs = [], []
    for cf in (D / "repro").glob("*/case.json"):
        cc = json.load(open(cf)); ks = cc.get("calls", [])
        rs += [((k.get("usage") or {}).get("completion_tokens_details") or {}).get("reasoning_tokens") for k in ks]
        if cc.get("tier") == "functional":
            outs.append(sum((k.get("usage") or {}).get("completion_tokens", 0) for k in ks))
    rs = [r for r in rs if r is not None]
    tri = json.load(open(D / "triage.json")).get("usage", [{}]) if (D / "triage.json").exists() else [{}]
    tri0 = tri[0] if isinstance(tri, list) and tri else (tri or {})
    return {"median_reasoning_per_call": statistics.median(rs) if rs else None,
            "median_output_per_revived": statistics.median(outs) if outs else None,
            "triage_reasoning": ((tri0.get("completion_tokens_details") or {}).get("reasoning_tokens")),
            "triage_input": tri0.get("prompt_tokens")}

_S = json.load(open(D / "summary.json")); _S["efficiency"] = _efficiency()
json.dump(_S, open(out / "summary.json", "w"))
if (D / "triage.json").exists():
    t = json.load(open(D / "triage.json"))
    t.pop("assignment", None)  # the per-Space mapping lives in the dataset, not the page
    (out / "triage.json").write_text(redact(json.dumps(t)))

REV = json.load(open(Path(__file__).parent / "reviews.json")) if (Path(__file__).parent / "reviews.json").exists() else {}
PRS = json.load(open(Path(__file__).parent / "prs.json")) if (Path(__file__).parent / "prs.json").exists() else {}
# Compact census for the field figure: [id, likes, stage code] sorted by likes. 0 running, 1 idle, 2 broken.
CODE = {"RUNTIME_ERROR": 2, "BUILD_ERROR": 2, "CONFIG_ERROR": 2, "PAUSED": 1, "SLEEPING": 1}
cen = sorted(json.load(open(D / "census.json")), key=lambda r: -r["likes"])
json.dump([[r["id"], r["likes"], CODE.get(r["stage"], 0)] for r in cen], open(out / "census_min.json", "w"), separators=(",", ":"))
# Lookup for "Check a Space": every broken Space's public error and the root-cause family Beam's triage gave it.
_tri = json.load(open(D / "triage.json")) if (D / "triage.json").exists() else {"families": [], "assignment": {}}
_catch = {f["name"] for f in (json.load(open(D / "summary.json")).get("triage", {}).get("catch_all_families", []) if (D / "summary.json").exists() else [])}
_fams = [f for f in _tri["families"] if f["name"] not in _catch]
_fi = {f["name"]: i for i, f in enumerate(_fams)}
def _exc(e):  # the decisive line of a log: its last exception, else its first line
    lines = [l.strip() for l in e.splitlines() if l.strip()]
    hits = [l for l in lines if re.match(r"^[\w.]*(Error|Exception|Exit)\b[^\n]*:", l) and not l.startswith("Exit code")]
    return (hits[-1] if hits else (lines[0] if lines else ""))[:260]
_lk = {"fam": [[f["name"], f.get("typical_fix", ""), bool(f.get("fixable_in_code"))] for f in _fams], "b": {}}
for r in cen:
    if CODE.get(r["stage"]) == 2:
        _lk["b"][r["id"]] = [_fi.get(_tri["assignment"].get(r["id"]), -1), redact(_exc(r.get("err") or "")), r["stage"]]
(out / "lookup.json").write_text(json.dumps(_lk, separators=(",", ":"), ensure_ascii=False))
MEDIA = {".png", ".jpg", ".jpeg", ".webp", ".gif", ".wav", ".mp3", ".flac", ".ogg", ".mp4", ".webm"}
cases = []
for d in sorted((D / "repro").iterdir()):
    if not (d / "case.json").exists():
        continue
    c = json.load(open(d / "case.json"))
    rec = json.load(open(d / "repro.json"))
    if c.get("hidden"):
        continue
    last = c["attempts"][-1] if c["attempts"] else {}
    best = next((a for a in c["attempts"] if a["stage"] == c.get("tier")), last)
    status = c.get("tier") or ("unfixable" if last.get("stage") == "declared_unfixable" else "failed")
    review = REV.get(c["space"])
    if review and review.get("verdict") == "rejected":
        status = "rejected"
    elif review and review.get("verdict") == "unverified" and status == "functional":
        status = "api"
    probe = next((p for p in (best.get("probe") or []) if p.get("ok") and not p.get("helper")), None)
    media = []
    if status == "functional" and (d / "outputs").exists():
        dst = out / "outputs" / d.name
        dst.mkdir(parents=True, exist_ok=True)
        for f in sorted((d / "outputs").iterdir())[:4]:
            if f.suffix.lower() in MEDIA and f.stat().st_size < 4_000_000:
                safe = f.name.replace(":", "_")
                shutil.copy(f, dst / safe)
                media.append(f"data/outputs/{d.name}/{safe}")
                if f.suffix.lower() in (".mp4", ".webm") and shutil.which("ffmpeg"):  # poster frame for the tile
                    subprocess.run(["ffmpeg", "-loglevel", "error", "-y", "-i", str(dst / safe), "-frames:v", "1",
                                    str(dst / (safe + ".poster.png"))], check=False)
    b = json.load(open(d / "baseline.json")) if (d / "baseline.json").exists() else None
    cases.append({
        "space": c["space"], "likes": c["likes"], "gpu": bool(c.get("gpu")), "status": status, "sdk": (rec.get("meta") or {}).get("sdk"),
        "hf_exception": c["hf_exception"], "hf_error_tail": rec.get("hf_error_tail", "")[-1500:],
        "same_exception": bool(rec.get("same_exception")),
        "diagnosis": best.get("diagnosis", ""), "category": best.get("category"),
        "diff": best.get("diff", "") if c.get("tier") else "",
        "review": review, "reprobed": bool(c.get("reprobe", {}).get("functional")),
        "probe": ({"endpoint": probe["endpoint"], "inputs": probe["inputs"], "output": probe["output_summary"]} if probe else None),
        "media": media, "baseline": (b or {}).get("tier"),
        "tokens": c["tokens"], "wall_secs": c["wall_secs"],
        "apply_errors": sum(1 for a in c["attempts"] for t in a.get("turns", []) if "apply_error" in t),
        "need_files": sum(1 for a in c["attempts"] for t in a.get("turns", []) if "need_files" in t),
        "empty_retries": sum(1 for k in c["calls"] if k.get("empty_retry")),
        "lock": next((a.get("lock") for a in c["attempts"] if a["stage"] == c.get("tier")), None),
        "attempts": [{"effort": a["effort"], "stage": a["stage"], "diagnosis": a.get("diagnosis", "")[:600],
                      "guard": a["logs"] if a["stage"] == "rejected_by_integrity_guard" else ""} for a in c["attempts"]],
        "pr": PRS.get(c["space"]),
    })
order = {"functional": 0, "api": 1, "rejected": 2, "unfixable": 3, "failed": 4}
cases.sort(key=lambda c: (order[c["status"]], -c["likes"]))
(out / "cases.json").write_text(redact(json.dumps(cases)))
print(f"{len(cases)} cases -> {out}")

	"""Write the gallery's data files: data/summary.json, data/triage.json, data/cases.json, data/outputs/<space>/*.
	usage: export_gallery.py DATA_DIR OUT_DIR"""
	import json, re, shutil, subprocess, sys
	from pathlib import Path

	REDACT = [ # credential-shaped strings that appear inside third-party error logs (e.g. expired pre-signed URLs)
	(re.compile(r"(X-Amz-(?:Credential\|Signature\|Security-Token)(?:=\|%3D\|%253D))[^&%\s\"'\\]+(?:%2F[^&\s\"'\\]*)?"), r"\1[REDACTED]"),
	(re.compile(r"(sign(?:ature)?=)eyJ[A-Za-z0-9._-]+"), r"\1[REDACTED]"),
	(re.compile(r"eyJhbGci" r"Oi[A-Za-z0-9._-]+"), "[REDACTED_JWT]"),
	(re.compile(r"hf_[A-Za-z0-9]{30,}"), "hf_[REDACTED]"),
	(re.compile(r"sk-[A-Za-z0-9]{32,}"), "sk-[REDACTED]"),
	(re.compile(r"AKIA[0-9A-Z]{16}"), "AKIA[REDACTED]"),
	]


	def redact(text):
	for rx, rep in REDACT:
	text = rx.sub(rep, text)
	return text


	D = Path(sys.argv[1] if len(sys.argv) > 1 else "/data")
	out = Path(sys.argv[2] if len(sys.argv) > 2 else "/data/gallery/data")
	out.mkdir(parents=True, exist_ok=True)
	shutil.rmtree(out / "outputs", ignore_errors=True) # only current revivals' outputs, never stale ones
	def _efficiency(): # Beam's token efficiency, measured from every repair call's usage and the triage call
	import statistics
	rs, outs = [], []
	for cf in (D / "repro").glob("*/case.json"):
	cc = json.load(open(cf)); ks = cc.get("calls", [])
	rs += [((k.get("usage") or {}).get("completion_tokens_details") or {}).get("reasoning_tokens") for k in ks]
	if cc.get("tier") == "functional":
	outs.append(sum((k.get("usage") or {}).get("completion_tokens", 0) for k in ks))
	rs = [r for r in rs if r is not None]
	tri = json.load(open(D / "triage.json")).get("usage", [{}]) if (D / "triage.json").exists() else [{}]
	tri0 = tri[0] if isinstance(tri, list) and tri else (tri or {})
	return {"median_reasoning_per_call": statistics.median(rs) if rs else None,
	"median_output_per_revived": statistics.median(outs) if outs else None,
	"triage_reasoning": ((tri0.get("completion_tokens_details") or {}).get("reasoning_tokens")),
	"triage_input": tri0.get("prompt_tokens")}

	_S = json.load(open(D / "summary.json")); _S["efficiency"] = _efficiency()
	json.dump(_S, open(out / "summary.json", "w"))
	if (D / "triage.json").exists():
	t = json.load(open(D / "triage.json"))
	t.pop("assignment", None) # the per-Space mapping lives in the dataset, not the page
	(out / "triage.json").write_text(redact(json.dumps(t)))

	REV = json.load(open(Path(__file__).parent / "reviews.json")) if (Path(__file__).parent / "reviews.json").exists() else {}
	PRS = json.load(open(Path(__file__).parent / "prs.json")) if (Path(__file__).parent / "prs.json").exists() else {}
	# Compact census for the field figure: [id, likes, stage code] sorted by likes. 0 running, 1 idle, 2 broken.
	CODE = {"RUNTIME_ERROR": 2, "BUILD_ERROR": 2, "CONFIG_ERROR": 2, "PAUSED": 1, "SLEEPING": 1}
	cen = sorted(json.load(open(D / "census.json")), key=lambda r: -r["likes"])
	json.dump([[r["id"], r["likes"], CODE.get(r["stage"], 0)] for r in cen], open(out / "census_min.json", "w"), separators=(",", ":"))
	# Lookup for "Check a Space": every broken Space's public error and the root-cause family Beam's triage gave it.
	_tri = json.load(open(D / "triage.json")) if (D / "triage.json").exists() else {"families": [], "assignment": {}}
	_catch = {f["name"] for f in (json.load(open(D / "summary.json")).get("triage", {}).get("catch_all_families", []) if (D / "summary.json").exists() else [])}
	_fams = [f for f in _tri["families"] if f["name"] not in _catch]
	_fi = {f["name"]: i for i, f in enumerate(_fams)}
	def _exc(e): # the decisive line of a log: its last exception, else its first line
	lines = [l.strip() for l in e.splitlines() if l.strip()]
	hits = [l for l in lines if re.match(r"^[\w.](Error\|Exception\|Exit)\b[^\n]:", l) and not l.startswith("Exit code")]
	return (hits[-1] if hits else (lines[0] if lines else ""))[:260]
	_lk = {"fam": [[f["name"], f.get("typical_fix", ""), bool(f.get("fixable_in_code"))] for f in _fams], "b": {}}
	for r in cen:
	if CODE.get(r["stage"]) == 2:
	_lk["b"][r["id"]] = [_fi.get(_tri["assignment"].get(r["id"]), -1), redact(_exc(r.get("err") or "")), r["stage"]]
	(out / "lookup.json").write_text(json.dumps(_lk, separators=(",", ":"), ensure_ascii=False))
	MEDIA = {".png", ".jpg", ".jpeg", ".webp", ".gif", ".wav", ".mp3", ".flac", ".ogg", ".mp4", ".webm"}
	cases = []
	for d in sorted((D / "repro").iterdir()):
	if not (d / "case.json").exists():
	continue
	c = json.load(open(d / "case.json"))
	rec = json.load(open(d / "repro.json"))
	if c.get("hidden"):
	continue
	last = c["attempts"][-1] if c["attempts"] else {}
	best = next((a for a in c["attempts"] if a["stage"] == c.get("tier")), last)
	status = c.get("tier") or ("unfixable" if last.get("stage") == "declared_unfixable" else "failed")
	review = REV.get(c["space"])
	if review and review.get("verdict") == "rejected":
	status = "rejected"
	elif review and review.get("verdict") == "unverified" and status == "functional":
	status = "api"
	probe = next((p for p in (best.get("probe") or []) if p.get("ok") and not p.get("helper")), None)
	media = []
	if status == "functional" and (d / "outputs").exists():
	dst = out / "outputs" / d.name
	dst.mkdir(parents=True, exist_ok=True)
	for f in sorted((d / "outputs").iterdir())[:4]:
	if f.suffix.lower() in MEDIA and f.stat().st_size < 4_000_000:
	safe = f.name.replace(":", "_")
	shutil.copy(f, dst / safe)
	media.append(f"data/outputs/{d.name}/{safe}")
	if f.suffix.lower() in (".mp4", ".webm") and shutil.which("ffmpeg"): # poster frame for the tile
	subprocess.run(["ffmpeg", "-loglevel", "error", "-y", "-i", str(dst / safe), "-frames:v", "1",
	str(dst / (safe + ".poster.png"))], check=False)
	b = json.load(open(d / "baseline.json")) if (d / "baseline.json").exists() else None
	cases.append({
	"space": c["space"], "likes": c["likes"], "gpu": bool(c.get("gpu")), "status": status, "sdk": (rec.get("meta") or {}).get("sdk"),
	"hf_exception": c["hf_exception"], "hf_error_tail": rec.get("hf_error_tail", "")[-1500:],
	"same_exception": bool(rec.get("same_exception")),
	"diagnosis": best.get("diagnosis", ""), "category": best.get("category"),
	"diff": best.get("diff", "") if c.get("tier") else "",
	"review": review, "reprobed": bool(c.get("reprobe", {}).get("functional")),
	"probe": ({"endpoint": probe["endpoint"], "inputs": probe["inputs"], "output": probe["output_summary"]} if probe else None),
	"media": media, "baseline": (b or {}).get("tier"),
	"tokens": c["tokens"], "wall_secs": c["wall_secs"],
	"apply_errors": sum(1 for a in c["attempts"] for t in a.get("turns", []) if "apply_error" in t),
	"need_files": sum(1 for a in c["attempts"] for t in a.get("turns", []) if "need_files" in t),
	"empty_retries": sum(1 for k in c["calls"] if k.get("empty_retry")),
	"lock": next((a.get("lock") for a in c["attempts"] if a["stage"] == c.get("tier")), None),
	"attempts": [{"effort": a["effort"], "stage": a["stage"], "diagnosis": a.get("diagnosis", "")[:600],
	"guard": a["logs"] if a["stage"] == "rejected_by_integrity_guard" else ""} for a in c["attempts"]],
	"pr": PRS.get(c["space"]),
	})
	order = {"functional": 0, "api": 1, "rejected": 2, "unfixable": 3, "failed": 4}
	cases.sort(key=lambda c: (order[c["status"]], -c["likes"]))
	(out / "cases.json").write_text(redact(json.dumps(cases)))
	print(f"{len(cases)} cases -> {out}")