Buckets:
bbkdevops/unicosys-hypergraph-bucket / tinymind-native-8b-remote-handoff /bundle /evaluation /lmmarketcap_compare.py
| """LM MarketCap external compare API evidence runner.""" | |
| from __future__ import annotations | |
| from datetime import datetime, timezone | |
| import json | |
| import os | |
| from pathlib import Path | |
| from typing import Any, Iterable | |
| from urllib.parse import urlencode | |
| BASE_URL = "https://api.lmmarketcap.com/v1/compare" | |
| def _parse_models(models: str | Iterable[str]) -> list[str]: | |
| if isinstance(models, str): | |
| parts = [] | |
| for chunk in models.split(","): | |
| item = chunk.strip() | |
| if item: | |
| parts.append(item) | |
| return parts | |
| return [str(model).strip() for model in models if str(model).strip()] | |
| def _json_safe(value: Any) -> Any: | |
| if value is None or isinstance(value, (str, int, float, bool)): | |
| return value | |
| if isinstance(value, dict): | |
| return {str(k): _json_safe(v) for k, v in value.items()} | |
| if isinstance(value, (list, tuple)): | |
| return [_json_safe(v) for v in value] | |
| return str(value) | |
| def _request_url(models: list[str], category: str) -> str: | |
| return f"{BASE_URL}?{urlencode({'models': ','.join(models), 'category': category})}" | |
| def run_lmmarketcap_compare( | |
| out_dir: str | Path, | |
| models: str | Iterable[str], | |
| category: str, | |
| execute: bool = True, | |
| timeout: float = 30.0, | |
| ) -> dict: | |
| out = Path(out_dir) | |
| out.mkdir(parents=True, exist_ok=True) | |
| model_list = _parse_models(models) | |
| api_key = os.environ.get("LMMARKETCAP_API_KEY", "") | |
| url = _request_url(model_list, category) | |
| api_key_present = bool(api_key) | |
| status = "skipped_missing_api_key" | |
| status_code = None | |
| raw_payload: Any = None | |
| error = None | |
| if execute and api_key_present: | |
| try: | |
| import httpx | |
| response = httpx.get( | |
| BASE_URL, | |
| params={"models": ",".join(model_list), "category": category}, | |
| headers={"X-API-Key": api_key, "Accept": "application/json"}, | |
| timeout=timeout, | |
| ) | |
| status_code = response.status_code | |
| response.raise_for_status() | |
| raw_payload = response.json() | |
| status = "ok" | |
| except Exception as exc: | |
| status = "error" | |
| error = f"{type(exc).__name__}: {exc}" | |
| raw_path = out / "lmmarketcap_compare_raw.json" | |
| raw_path.write_text(json.dumps(_json_safe(raw_payload), ensure_ascii=False, indent=2, sort_keys=True), encoding="utf-8") | |
| report = { | |
| "schema_version": "tinymind-lmmarketcap-compare-v1", | |
| "created_at": datetime.now(timezone.utc).isoformat(), | |
| "provider": "lmmarketcap", | |
| "request": { | |
| "url": url, | |
| "models": model_list, | |
| "category": category, | |
| "method": "GET", | |
| "headers_saved": {"Accept": "application/json", "X-API-Key": "redacted"}, | |
| }, | |
| "api_key_present": api_key_present, | |
| "api_key_saved": False, | |
| "execute": bool(execute), | |
| "status": status, | |
| "status_code": status_code, | |
| "error": error, | |
| "raw_path": str(raw_path), | |
| "raw": _json_safe(raw_payload), | |
| "external_results": _to_external_results(raw_payload, model_list, category, url), | |
| "claim_gate": { | |
| "external_official_claim_allowed": False, | |
| "rank_claim_allowed": False, | |
| "reason": "LM MarketCap compare output is external reference evidence only until mapped to TinyMind's own listed model and official rank criteria.", | |
| }, | |
| } | |
| json_path = out / "lmmarketcap_compare_report.json" | |
| md_path = out / "lmmarketcap_compare_report.md" | |
| report["json_path"] = str(json_path) | |
| report["markdown_path"] = str(md_path) | |
| json_path.write_text(json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True), encoding="utf-8") | |
| md_path.write_text(_markdown(report), encoding="utf-8") | |
| return report | |
| def _to_external_results(raw: Any, models: list[str], category: str, url: str) -> list[dict]: | |
| if raw is None: | |
| return [] | |
| return [ | |
| { | |
| "source": "lmmarketcap", | |
| "model": ",".join(models), | |
| "source_url": url, | |
| "as_of": datetime.now(timezone.utc).date().isoformat(), | |
| "official": False, | |
| "category": category, | |
| "scores": {}, | |
| "raw_attached": True, | |
| } | |
| ] | |
| def _markdown(report: dict) -> str: | |
| return "\n".join( | |
| [ | |
| "# TinyMind LM MarketCap Compare", | |
| "", | |
| f"- Status: {report['status']}", | |
| f"- Status code: {report['status_code']}", | |
| f"- Models: {', '.join(report['request']['models'])}", | |
| f"- Category: {report['request']['category']}", | |
| f"- API key present: {report['api_key_present']}", | |
| "- API key saved: false", | |
| "- Rank claim allowed: false", | |
| "", | |
| report["claim_gate"]["reason"], | |
| "", | |
| ] | |
| ) | |
Xet Storage Details
- Size:
- 4.95 kB
- Xet hash:
- 5fb993af9c251cfd5eeb648c13539e8bf92f115e6562b92aa803aa984503d730
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.