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6d60378 8bab601 | 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 | #!/usr/bin/env python3
"""一次性任务脚本：Model_chat_GLM5.2（体验「GLM-5.2」模型对话 1 次，+100 积分 +5 能量）.
步骤（实测确认）：
1. accept：POST /v2/activity/growth/tasks/accept {"task_codes":["Model_chat_GLM5.2"]}
（不 accept 也会被行为事件点亮，但进度状态更规范，先 accept）
2. 真实对话：POST {chat}/v2/chat/completions {model:"glm-5.2", stream:true}
—— 模型列表实测存在 glm-5.2，SSE 200 正常回包
3. 上报一条 chat_request_send（requestModelId=glm-5.2）触发 progress
—— 若任务判据靠事件上报，这条即可点亮；真实对话是「使用 GLM-5.2 成功对话」的最直接证据
4. 回读 progress；current>=target 后提示 claim
用法
python3 task_model_chat.py <uid前缀> # dry-run
python3 task_model_chat.py <uid前缀> --yes # accept + 真实对话 + 上报
"""
import sys, os, time, argparse
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import task_common as tc
TASK_CODE = "Model_chat_GLM5.2"
MODEL_ID = "glm-5.2"
MODEL_NAME = "GLM-5.2"
TARGET = 1
def main():
ap = argparse.ArgumentParser(description="Model_chat_GLM5.2 任务")
ap.add_argument("account", help="uid 前缀，或 ALL")
ap.add_argument("--yes", action="store_true", help="确认执行写操作")
ap.add_argument("--prompt", default="hi，请回复一句话", help="发给 GLM-5.2 的提示词")
a = ap.parse_args()
prefixes = []
if a.account.upper() == "ALL":
import glob
prefixes = [os.path.basename(p)[10:18]
for p in sorted(glob.glob(tc.AUTHS + "/workbuddy-*.json"))]
else:
prefixes = [a.account]
for pre in prefixes:
c = tc.load_auth(pre)
print(f"== {c['uid'][:8]} ({c['nick']}) ==")
try:
st = tc.task_status(c, TASK_CODE)
except Exception as e:
print(f" [skip] list_tasks 失败: {e}")
continue
if st is None:
print(f" [skip] 无 {TASK_CODE} 任务")
continue
ast = st.get("accept_status")
prog = (st.get("progress") or {})
cur = prog.get("current", 0)
target = prog.get("target", TARGET)
if ast == "claimed" or cur >= target:
print(f" [skip] 已完成 {cur}/{target} (accept_status={ast})")
continue
if not a.yes:
print(f" [dry-run] 将 accept + GLM-5.2 真实对话一次 + 上报 chat_request_send "
f"(当前 {cur}/{target}，加 --yes 生效)")
continue
# 1. accept
st_a, r_a = tc.accept_tasks(c, [TASK_CODE])
print(f" accept -> {st_a} {r_a.get('msg') if isinstance(r_a, dict) else r_a}")
time.sleep(1.05)
# 2. 真实对话（GLM-5.2）
st_chat, first = tc.chat_completion(c, model_id=MODEL_ID, prompt=a.prompt)
print(f" chat glm-5.2 -> {st_chat} {first[:60]!r}")
# 3. 上报一条 chat_request_send（模型字段对齐 glm-5.2）
results = tc.report_activity(c, count=1, gap=1.05,
model_id=MODEL_ID, model_name=MODEL_NAME)
print(f" report x1 -> {results}")
time.sleep(1.0)
# 4. 回读
st2 = tc.task_status(c, TASK_CODE)
prog2 = (st2.get("progress") or {}) if st2 else {}
cur2 = prog2.get("current", 0)
ast2 = st2.get("accept_status") if st2 else "?"
print(f" 回读 {TASK_CODE}: {cur2}/{prog2.get('target', target)} accept_status={ast2}")
if ast2 not in ("claimed",) and cur2 >= target:
print(" → 任务已满足，可手动或后续调用 claim_reward 领奖")
if __name__ == "__main__":
main() |