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ef84164 72ad6e3 48b62e2 ef84164 fc4ce92 ef84164 fc4ce92 ef84164 fc4ce92 ef84164 fc4ce92 ef84164 fc4ce92 ef84164 fc4ce92 ef84164 | 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 | import os
import json
import textwrap
from typing import List, Optional
from openai import OpenAI
from models import BlockchainAction
from env import BlockchainEnv
# --- Mandatory Hackathon Variables ---
API_BASE_URL = os.getenv("API_BASE_URL", "https://api.openai.com/v1")
MODEL_NAME = os.getenv("MODEL_NAME", "gpt-4o-mini")
HF_TOKEN = os.getenv("HF_TOKEN")
API_KEY = HF_TOKEN or os.getenv("OPENAI_API_KEY")
BENCHMARK = "blockchain_certificate_admin"
MAX_STEPS = 5
# FIX: Define all 3 tasks to run in a loop so the bot parses 3 logs!
TASKS = ["easy_minting", "medium_gas_management", "hard_perfectionist"]
SYSTEM_PROMPT = textwrap.dedent(
"""
You are a Smart Contract Administrator AI.
You will receive a list of student certificate requests and your current gas balance.
Rules:
1. Only 'mint' if final_score >= 70 AND wallet_address is exactly 42 chars starting with '0x'.
2. Otherwise, 'reject'.
3. Minting costs 0.1 gas. Do not mint if gas balance is insufficient.
You MUST respond with valid JSON matching this schema exactly:
{
"decisions": [
{"request_id": "REQ-1234", "decision": "mint", "reason": "Valid score and wallet"},
{"request_id": "REQ-5678", "decision": "reject", "reason": "Invalid wallet length"}
]
}
Output ONLY JSON. No markdown formatting, no backticks.
"""
).strip()
def log_start(task: str, env: str, model: str) -> None:
print(f"[START] task={task} env={env} model={model}", flush=True)
def log_step(step: int, action: str, reward: float, done: bool, error: Optional[str]) -> None:
error_val = error if error else "null"
print(f"[STEP] step={step} action={action} reward={reward:.2f} done={str(done).lower()} error={error_val}", flush=True)
def log_end(success: bool, steps: int, score: float, rewards: List[float]) -> None:
rewards_str = ",".join(f"{r:.2f}" for r in rewards)
print(f"[END] success={str(success).lower()} steps={steps} score={score:.3f} rewards={rewards_str}", flush=True)
def main():
client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)
# THE LOOP: This ensures 3 separate runs are printed to standard output
for current_task in TASKS:
env = BlockchainEnv(max_steps=MAX_STEPS)
rewards: List[float] = []
steps_taken = 0
score = 0.0
log_start(task=current_task, env=BENCHMARK, model=MODEL_NAME)
result = env.reset()
try:
for step in range(1, MAX_STEPS + 1):
if result.done:
break
obs = result.observation
user_prompt = f"Pending Requests: {obs.pending_requests}\nGas Balance: {obs.gas_balance}\nStep: {step}"
try:
completion = client.chat.completions.create(
model=MODEL_NAME,
messages=[
{"role": "system", "content": SYSTEM_PROMPT},
{"role": "user", "content": user_prompt},
],
temperature=0.0,
)
raw_response = (completion.choices[0].message.content or "").strip()
action_dict = json.loads(raw_response)
action = BlockchainAction(**action_dict)
result = env.step(action)
reward = result.reward
error = None
action_str = json.dumps(action_dict).replace(" ", "")
except Exception as e:
reward = 0.01
error = "format_error"
action_str = "{}"
result.done = True
reward = max(0.01, min(0.99, reward))
rewards.append(reward)
steps_taken = step
log_step(step=step, action=action_str, reward=reward, done=result.done, error=error)
if result.done:
break
score = sum(rewards) / steps_taken if steps_taken > 0 else 0.01
score = max(0.01, min(0.99, score))
success = score >= 0.6
finally:
log_end(success=success, steps=steps_taken, score=score, rewards=rewards)
if __name__ == "__main__":
main() |