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import asyncio
import json
import os
import sys
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Iterable
from dotenv import load_dotenv
ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
load_dotenv(ROOT / ".env")
from app.core.config import config
from app.core.logger import setup_logging
from app.services.grok.services.chat import GrokChatService
from app.services.grok.processors import CollectProcessor
from app.services.grok.services.usage import UsageService
async def _fetch_usage(token: str, timeout: float) -> int | None:
usage = UsageService()
try:
result = await asyncio.wait_for(usage.get(token), timeout=timeout)
except Exception as exc:
print(f"Usage fetch failed: {exc}")
return None
try:
return int(result.get("remainingTokens"))
except Exception:
return None
async def _run_once(
model: str,
mode: str,
token: str,
message: str,
timeout: float,
lock: asyncio.Lock | None = None,
) -> tuple[bool, int | None, int | None]:
async def _execute() -> tuple[bool, int | None, int | None]:
service = GrokChatService()
before = await _fetch_usage(token, timeout)
http_ok = False
try:
print(f"Requesting model={model} mode={mode} ...")
response = await asyncio.wait_for(
service.chat(
token=token,
message=message,
model=model,
mode=mode,
think=False,
stream=False,
),
timeout=timeout,
)
http_ok = True
except Exception as exc:
print(f"Request failed: {exc}")
after = await _fetch_usage(token, timeout)
return False, before, after
processor = CollectProcessor(model, token)
try:
print("Collecting response ...")
result = await asyncio.wait_for(processor.process(response), timeout=timeout)
except Exception as exc:
print(f"Collect failed: {exc}")
after = await _fetch_usage(token, timeout)
return False, before, after
content = (
result.get("choices", [{}])[0]
.get("message", {})
.get("content", "")
.strip()
)
after = await _fetch_usage(token, timeout)
ok = http_ok and bool(content)
return ok, before, after
if lock is None:
return await _execute()
async with lock:
return await _execute()
async def _run_test(
grok_model: str,
model_mode: str,
basic_token: str,
super_token: str,
message: str,
out_path: str,
timeout: float,
model_id: str | None = None,
lock_map: dict[str, asyncio.Lock] | None = None,
load_config: bool = True,
) -> tuple[dict, bool]:
if load_config:
await config.load()
basic_lock = lock_map.get(basic_token) if lock_map else None
super_lock = lock_map.get(super_token) if lock_map else None
print("Testing basic token ...")
basic_task = asyncio.create_task(
_run_once(grok_model, model_mode, basic_token, message, timeout, basic_lock)
)
print("Testing super token ...")
super_task = asyncio.create_task(
_run_once(grok_model, model_mode, super_token, message, timeout, super_lock)
)
basic_ok, basic_before, basic_after = await basic_task
super_ok, super_before, super_after = await super_task
basic_delta = (
(basic_before - basic_after)
if (basic_before is not None and basic_after is not None)
else None
)
super_delta = (
(super_before - super_after)
if (super_before is not None and super_after is not None)
else None
)
cost_guess = _guess_cost(basic_delta, super_delta)
payload = {
"model_id": model_id or grok_model,
"grok_model": grok_model,
"model_mode": model_mode,
"basic": {
"ok": bool(basic_ok),
"before": basic_before,
"after": basic_after,
"delta": basic_delta,
},
"super": {
"ok": bool(super_ok),
"before": super_before,
"after": super_after,
"delta": super_delta,
},
"cost_guess": cost_guess,
"timestamp": datetime.now(timezone.utc).isoformat(),
}
ok = bool(basic_ok and super_ok)
if out_path:
_append_result(out_path, payload)
print(f"Appended results to {out_path}")
return payload, ok
def _guess_cost(basic_delta: int | None, super_delta: int | None) -> str | None:
for delta in (basic_delta, super_delta):
if delta is None:
continue
return "high" if delta >= 4 else "low"
return None
def _load_tokens_file(path: str) -> dict:
if not path:
return {}
file_path = Path(path)
if not file_path.exists():
return {}
try:
with file_path.open("r", encoding="utf-8") as f:
data = json.load(f)
if isinstance(data, dict):
return data
except Exception as exc:
print(f"Failed to read tokens file: {exc}")
return {}
def _prompt_if_missing(value: str, label: str) -> str:
if value:
return value
return input(f"{label}: ").strip()
def _append_result(out_path: str, payload: dict) -> None:
out_file = Path(out_path)
data = []
if out_file.exists():
try:
with out_file.open("r", encoding="utf-8") as f:
existing = json.load(f)
if isinstance(existing, list):
data = existing
elif isinstance(existing, dict):
data = [existing]
except Exception as exc:
print(f"Failed to read existing results, overwrite: {exc}")
data = []
if isinstance(payload, list):
data.extend(payload)
else:
data.append(payload)
with out_file.open("w", encoding="utf-8") as f:
json.dump(data, f, ensure_ascii=True, indent=2)
def _normalize_matrix_item(item: Any) -> dict[str, Any]:
if isinstance(item, (list, tuple)):
if len(item) < 3:
return {}
return {
"grok_model": str(item[0]).strip(),
"model_mode": str(item[1]).strip(),
"model_id": str(item[2]).strip(),
}
if isinstance(item, dict):
grok_model = item.get("grok_model") or item.get("model") or item.get("grok")
model_mode = item.get("model_mode") or item.get("mode")
model_id = item.get("model_id") or item.get("id") or item.get("name")
tier = item.get("tier")
if not (grok_model and model_mode and model_id):
return {}
normalized = {
"grok_model": str(grok_model).strip(),
"model_mode": str(model_mode).strip(),
"model_id": str(model_id).strip(),
}
if tier:
normalized["tier"] = str(tier).strip()
return normalized
return {}
def _parse_matrix_text(text: str) -> list[dict[str, Any]]:
items: list[dict[str, Any]] = []
for line in text.splitlines():
line = line.strip()
if not line or line.startswith("#"):
continue
parts = line.split()
if len(parts) < 3:
continue
entry = {
"grok_model": parts[0],
"model_mode": parts[1],
"model_id": parts[2],
}
if len(parts) >= 4:
entry["tier"] = parts[3]
items.append(entry)
return items
def _load_matrix(matrix_file: str | None, matrix_inline: str | None) -> list[dict]:
if matrix_inline:
try:
data = json.loads(matrix_inline)
if isinstance(data, list):
items = [_normalize_matrix_item(x) for x in data]
return [x for x in items if x]
except Exception:
return _parse_matrix_text(matrix_inline)
if matrix_file:
file_path = Path(matrix_file)
if file_path.exists():
text = file_path.read_text(encoding="utf-8").strip()
if not text:
return []
try:
data = json.loads(text)
if isinstance(data, list):
items = [_normalize_matrix_item(x) for x in data]
return [x for x in items if x]
except Exception:
return _parse_matrix_text(text)
return []
def _build_token_locks(tokens: Iterable[str]) -> dict[str, asyncio.Lock]:
locks: dict[str, asyncio.Lock] = {}
for token in tokens:
if token and token not in locks:
locks[token] = asyncio.Lock()
return locks
def _format_model_list(results: Iterable[dict]) -> str:
lines = []
for item in results:
model_id = item.get("model_id") or item.get("grok_model") or ""
grok_model = item.get("grok_model") or ""
model_mode = item.get("model_mode") or ""
tier = item.get("tier")
cost_guess = item.get("cost_guess")
cost = "Cost.HIGH" if cost_guess == "high" else "Cost.LOW"
display_name = model_id.upper() if model_id else ""
lines.append(" ModelInfo(")
lines.append(f' model_id="{model_id}",')
lines.append(f' grok_model="{grok_model}",')
lines.append(f' model_mode="{model_mode}",')
if tier and str(tier).upper() == "SUPER":
lines.append(" tier=Tier.SUPER,")
lines.append(f" cost={cost},")
lines.append(f' display_name="{display_name}",')
lines.append(" ),")
lines.append("")
return "\n".join(lines).rstrip()
async def _run_matrix(
matrix: list[dict],
basic_token: str,
super_token: str,
message: str,
out_path: str,
timeout: float,
max_concurrent: int,
) -> tuple[list[dict], bool]:
await config.load()
locks = _build_token_locks([basic_token, super_token])
sem = asyncio.Semaphore(max(1, int(max_concurrent)))
async def _one(entry: dict) -> tuple[dict, bool]:
async with sem:
payload, ok = await _run_test(
entry["grok_model"],
entry["model_mode"],
basic_token,
super_token,
message,
out_path="",
timeout=timeout,
model_id=entry.get("model_id"),
lock_map=locks,
load_config=False,
)
if entry.get("tier"):
payload["tier"] = entry["tier"]
return payload, ok
tasks = [_one(entry) for entry in matrix]
pairs = await asyncio.gather(*tasks)
results = [payload for payload, _ in pairs]
all_ok = all(ok for _, ok in pairs)
if out_path:
_append_result(out_path, results)
print(f"Appended results to {out_path}")
return results, all_ok
def main() -> int:
parser = argparse.ArgumentParser(
description="Test Grok model by grok_model and model_mode using basic/super tokens."
)
parser.add_argument("grok_model", nargs="?", help="e.g. grok-4-1-thinking-1129")
parser.add_argument("model_mode", nargs="?", help="e.g. MODEL_MODE_GROK_4_1_THINKING")
parser.add_argument("--model-id", dest="model_id", help="model id for output")
parser.add_argument("--basic-token", dest="basic_token", help="basic account token")
parser.add_argument("--super-token", dest="super_token", help="super account token")
parser.add_argument(
"--tokens-file",
default="data/model_tokens.json",
help="path to tokens json file",
)
parser.add_argument("--matrix", help="inline JSON or line-based model list")
parser.add_argument("--matrix-file", help="path to model list (json or text)")
parser.add_argument(
"--max-concurrent",
type=int,
default=2,
help="max concurrent model tests",
)
parser.add_argument(
"--emit-model-list",
action="store_true",
help="print ModelInfo list snippet",
)
parser.add_argument("--emit-model-list-out", help="write ModelInfo list snippet")
parser.add_argument("--message", default="Ping", help="test prompt")
parser.add_argument("--out", default="model.json", help="output json path")
parser.add_argument("--timeout", type=float, default=120, help="timeout seconds")
parser.add_argument("--log-level", help="log level (overrides LOG_LEVEL)")
args = parser.parse_args()
tokens_file_data = _load_tokens_file(args.tokens_file)
basic_token = _prompt_if_missing(
args.basic_token
or tokens_file_data.get("basic_token", "")
or os.getenv("BASIC_TOKEN", ""),
"basic_token",
)
super_token = _prompt_if_missing(
args.super_token
or tokens_file_data.get("super_token", "")
or os.getenv("SUPER_TOKEN", ""),
"super_token",
)
if not basic_token or not super_token:
print("basic_token and super_token are required.")
return 2
log_level = args.log_level or os.getenv("LOG_LEVEL", "INFO")
setup_logging(level=log_level, json_console=False, file_logging=False)
matrix = _load_matrix(args.matrix_file, args.matrix)
if matrix:
results, ok = asyncio.run(
_run_matrix(
matrix,
basic_token,
super_token,
args.message,
args.out,
args.timeout,
args.max_concurrent,
)
)
if args.emit_model_list or args.emit_model_list_out:
snippet = _format_model_list(results)
if args.emit_model_list_out:
Path(args.emit_model_list_out).write_text(
snippet + "\n", encoding="utf-8"
)
print(f"Model list written to {args.emit_model_list_out}")
else:
print(snippet)
return 0 if ok else 1
grok_model = args.grok_model or os.getenv("GROK_MODEL", "")
model_mode = args.model_mode or os.getenv("MODEL_MODE", "")
if not grok_model:
print("grok_model is required.")
return 2
_payload, ok = asyncio.run(
_run_test(
grok_model,
model_mode,
basic_token,
super_token,
args.message,
args.out,
args.timeout,
model_id=args.model_id,
lock_map=_build_token_locks([basic_token, super_token]),
)
)
return 0 if ok else 1
if __name__ == "__main__":
raise SystemExit(main())
|