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@ -17,50 +17,89 @@ def login(): |
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limits=limits, |
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limits=limits, |
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transport=transport |
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transport=transport |
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) |
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) |
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print("[INFO] 正在登录...") |
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response = s.post('https://api.worldquantbrain.com/authentication') |
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response = s.post('https://api.worldquantbrain.com/authentication') |
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print(response.content) |
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print(f"[INFO] 登录响应: {response.content}") |
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return s |
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return s |
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def wait_get(s, url: str, max_retries: int = 10): |
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def wait_get(s, url: str, max_retries: int = 10): |
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print(f"[WAIT_GET] 开始请求: {url[:80]}...") |
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retries = 0 |
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retries = 0 |
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while retries < max_retries: |
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while retries < max_retries: |
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while True: |
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print(f"[WAIT_GET] 第 {retries + 1} 次尝试...") |
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simulation_progress = s.get(url) |
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simulation_progress = s.get(url) |
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if simulation_progress.headers.get("Retry-After", 0) == 0: |
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status_code = simulation_progress.status_code |
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break |
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content_length = simulation_progress.headers.get("content-length", "unknown") |
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time.sleep(float(simulation_progress.headers["Retry-After"])) |
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retry_after = simulation_progress.headers.get("Retry-After", 0) |
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if simulation_progress.status_code < 400: |
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print(f"[WAIT_GET] 状态码: {status_code}, content-length: {content_length}, retry-after: {retry_after}") |
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# 检查 Retry-After 头(即使状态码是200也可能需要等待) |
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if retry_after and float(retry_after) > 0: |
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wait_time = float(retry_after) |
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print(f"[WAIT_GET] 需要等待 {wait_time} 秒后重试...") |
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time.sleep(wait_time) |
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continue # 不增加重试计数,直接再试 |
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# 成功且有内容 |
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if status_code < 400: |
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# 检查 content-length |
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if content_length and content_length != "0": |
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print(f"[WAIT_GET] 请求成功,有数据") |
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break |
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break |
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else: |
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else: |
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time.sleep(2 ** retries) |
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# 200 但无内容,可能是数据还没准备好,指数退避等待 |
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wait_time = 2 ** retries |
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print(f"[WAIT_GET] 状态码200但无内容,等待 {wait_time} 秒后重试...") |
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time.sleep(wait_time) |
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retries += 1 |
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continue |
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# 404 - 资源不存在,不需要重试 |
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if status_code == 404: |
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print(f"[WAIT_GET] 404 Not Found,跳过重试") |
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break |
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# 429 - Rate Limit |
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if status_code == 429: |
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print(f"[WAIT_GET] 429 Rate Limit") |
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continue |
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# 其他错误,指数退避重试 |
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wait_time = 2 ** retries |
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print(f"[WAIT_GET] 请求失败,等待 {wait_time} 秒后重试...") |
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time.sleep(wait_time) |
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retries += 1 |
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retries += 1 |
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return simulation_progress |
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return simulation_progress |
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def get_alphas(start_date, end_date, sharpe_th, fitness_th, region, alpha_num, usage): |
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def get_alphas(s, start_date, end_date, sharpe_th, fitness_th, region, alpha_num, usage): |
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s = login() |
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print(f"[INFO] 开始获取Alpha列表, 参数: start_date={start_date}, end_date={end_date}, sharpe_th={sharpe_th}, fitness_th={fitness_th}, region={region}, alpha_num={alpha_num}, usage={usage}") |
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output = [] |
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output = [] |
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count = 0 |
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count = 0 |
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for i in range(0, alpha_num, 100): |
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for i in range(0, alpha_num, 100): |
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print(i) |
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print(f"[GET_ALPHAS] 处理偏移量: {i}") |
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url_e = "https://api.worldquantbrain.com/users/self/alphas?limit=100&offset=%d" % (i) \ |
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url_e = "https://api.worldquantbrain.com/users/self/alphas?limit=100&offset=%d" % (i) \ |
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+ "&status=UNSUBMITTED%1FIS_FAIL&dateCreated%3E=2025-" + start_date \ |
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+ "&status=UNSUBMITTED%1FIS_FAIL&dateCreated%3E=" + start_date \ |
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+ "T00:00:00-04:00&dateCreated%3C2025-" + end_date \ |
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+ "T00:00:00-04:00&dateCreated%3C=" + end_date \ |
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+ "T00:00:00-04:00&is.fitness%3E" + str(fitness_th) + "&is.sharpe%3E" \ |
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+ "T00:00:00-04:00&is.fitness%3E" + str(fitness_th) + "&is.sharpe%3E" \ |
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+ str(sharpe_th) + "&settings.region=" + region + "&order=-is.sharpe&hidden=false&type!=SUPER" |
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+ str(sharpe_th) + "&settings.region=" + region + "&order=-is.sharpe&hidden=false&type!=SUPER" |
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url_c = "https://api.worldquantbrain.com/users/self/alphas?limit=100&offset=%d" % (i) \ |
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url_c = "https://api.worldquantbrain.com/users/self/alphas?limit=100&offset=%d" % (i) \ |
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+ "&status=UNSUBMITTED%1FIS_FAIL&dateCreated%3E=2025-" + start_date \ |
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+ "&status=UNSUBMITTED%1FIS_FAIL&dateCreated%3E=" + start_date \ |
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+ "T00:00:00-04:00&dateCreated%3C2025-" + end_date \ |
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+ "T00:00:00-04:00&dateCreated%3C=" + end_date \ |
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+ "T00:00:00-04:00&is.fitness%3C-" + str(fitness_th) + "&is.sharpe%3C-" \ |
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+ "T00:00:00-04:00&is.fitness%3C-" + str(fitness_th) + "&is.sharpe%3C-" \ |
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+ str(sharpe_th) + "&settings.region=" + region + "&order=is.sharpe&hidden=false&type!=SUPER" |
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+ str(sharpe_th) + "&settings.region=" + region + "&order=is.sharpe&hidden=false&type!=SUPER" |
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urls = [url_e] |
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urls = [url_e] |
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if usage != "submit": |
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if usage != "submit": |
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urls.append(url_c) |
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urls.append(url_c) |
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for url in urls: |
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for url in urls: |
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print(f"[GET_ALPHAS] 请求URL: {url[:100]}...") |
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response = s.get(url) |
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response = s.get(url) |
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print(f"[GET_ALPHAS] 响应状态码: {response.status_code}") |
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try: |
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try: |
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alpha_list = response.json()["results"] |
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alpha_list = response.json()["results"] |
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print(f"[GET_ALPHAS] 获取到 {len(alpha_list)} 个alpha") |
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for j in range(len(alpha_list)): |
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for j in range(len(alpha_list)): |
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alpha_id = alpha_list[j]["id"] |
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alpha_id = alpha_list[j]["id"] |
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name = alpha_list[j]["name"] |
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name = alpha_list[j]["name"] |
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@ -78,7 +117,7 @@ def get_alphas(start_date, end_date, sharpe_th, fitness_th, region, alpha_num, u |
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if sharpe < -sharpe_th: |
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if sharpe < -sharpe_th: |
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exp = "-%s" % exp |
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exp = "-%s" % exp |
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rec = [alpha_id, exp, sharpe, turnover, fitness, margin, dateCreated, decay] |
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rec = [alpha_id, exp, sharpe, turnover, fitness, margin, dateCreated, decay] |
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print(rec) |
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print(f"[GET_ALPHAS] 符合条件的alpha: {rec}") |
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if turnover > 0.7: |
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if turnover > 0.7: |
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rec.append(decay * 4) |
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rec.append(decay * 4) |
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elif turnover > 0.6: |
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elif turnover > 0.6: |
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@ -92,16 +131,18 @@ def get_alphas(start_date, end_date, sharpe_th, fitness_th, region, alpha_num, u |
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elif turnover > 0.3: |
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elif turnover > 0.3: |
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rec.append(decay + 2) |
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rec.append(decay + 2) |
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output.append(rec) |
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output.append(rec) |
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except: |
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except Exception as e: |
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print("%d finished re-login" % i) |
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print(f"[GET_ALPHAS] 处理第 {i} 个时出错: {e}, 重新登录...") |
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s = login() |
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s = login() |
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print("count: %d" % count) |
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print(f"[GET_ALPHAS] 总共获取 {count} 个alpha, 符合条件的有 {len(output)} 个") |
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return output, s |
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return output, s |
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def check_consecutive_non_zero_values(alpha_id, data, required_streak=200): |
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def check_consecutive_non_zero_values(alpha_id, data, required_streak=200): |
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print(f"[CHECK_NON_ZERO] 检查alpha {alpha_id}, 数据长度: {len(data) if data else 0}") |
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if not data or len(data) < required_streak: |
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if not data or len(data) < required_streak: |
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print(f"[CHECK_NON_ZERO] 数据不足{required_streak}条, 跳过检查") |
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return True |
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return True |
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def check_column(column_data): |
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def check_column(column_data): |
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@ -133,30 +174,65 @@ def check_consecutive_non_zero_values(alpha_id, data, required_streak=200): |
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column1_values.append(row[1]) |
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column1_values.append(row[1]) |
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column2_values.append(row[2]) |
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column2_values.append(row[2]) |
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print(f"[CHECK_NON_ZERO] 列1数据点数: {len(column1_values)}, 列2数据点数: {len(column2_values)}") |
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if column1_values and column2_values: |
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if column1_values and column2_values: |
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is_col1_all_zeros = all(v == 0 for v in column1_values) |
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is_col1_all_zeros = all(v == 0 for v in column1_values) |
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is_col2_all_zeros = all(v == 0 for v in column2_values) |
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is_col2_all_zeros = all(v == 0 for v in column2_values) |
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if is_col1_all_zeros or is_col2_all_zeros: |
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if is_col1_all_zeros or is_col2_all_zeros: |
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print(alpha_id, "不合法") |
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print(f"[CHECK_NON_ZERO] {alpha_id} 不合法: 存在全零列") |
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return False |
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return False |
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if not check_column(column1_values): |
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if not check_column(column1_values): |
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print(alpha_id, "不合法") |
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print(f"[CHECK_NON_ZERO] {alpha_id} 不合法: 列1存在连续非零值") |
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return False |
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return False |
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if not check_column(column2_values): |
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if not check_column(column2_values): |
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print(alpha_id, "不合法") |
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print(f"[CHECK_NON_ZERO] {alpha_id} 不合法: 列2存在连续非零值") |
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return False |
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return False |
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print(f"[CHECK_NON_ZERO] {alpha_id} 通过检查") |
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return True |
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return True |
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def get_alpha_pnl_legal(s, alpha_id: str) -> bool: |
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def get_alpha_pnl_legal(s, alpha_id: str) -> bool: |
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print(f"\n[PNL_CHECK] ===== 开始检查Alpha: {alpha_id} =====") |
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not_legal_id = [] |
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not_legal_id = [] |
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pnl = wait_get(s, "https://api.worldquantbrain.com/alphas/" + alpha_id + "/recordsets/pnl").json() |
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print(f"[PNL_CHECK] 正在获取PNL数据...") |
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records = pnl["records"] |
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resp = wait_get(s, "https://api.worldquantbrain.com/alphas/" + alpha_id + "/recordsets/pnl") |
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# 检查状态码 |
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if resp.status_code == 404: |
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print(f"[PNL_CHECK] {alpha_id} PNL接口返回404,可能Alpha不存在或无权限,判定为不合法") |
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return False |
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if resp.status_code >= 400: |
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print(f"[PNL_CHECK] {alpha_id} PNL接口返回错误状态码 {resp.status_code},判定为不合法") |
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return False |
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# 检查响应内容是否为空 |
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if not resp.content or len(resp.content) == 0: |
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print(f"[PNL_CHECK] 警告: {alpha_id} 响应内容为空!") |
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print(f"[PNL_CHECK] 状态码: {resp.status_code}") |
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print(f"[PNL_CHECK] 响应头: {dict(resp.headers)}") |
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print(f"[PNL_CHECK] 此Alpha可能是好的,但无法获取PNL数据,跳过处理(不隐藏)") |
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return True # 返回True表示不处理,不隐藏 |
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try: |
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pnl = resp.json() |
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except Exception as e: |
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print(f"[PNL_CHECK] 警告: {alpha_id} JSON解析失败: {e}") |
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print(f"[PNL_CHECK] 响应内容前500字符: {resp.text[:500]}") |
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print(f"[PNL_CHECK] 状态码: {resp.status_code}") |
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print(f"[PNL_CHECK] 响应头: {dict(resp.headers)}") |
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print(f"[PNL_CHECK] 此Alpha可能是好的,但无法解析PNL数据,跳过处理(不隐藏)") |
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return True # 返回True表示不处理,不隐藏 |
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records = pnl.get("records", []) |
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print(f"[PNL_CHECK] 获取到 {len(records)} 条PNL记录") |
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if not records: |
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if not records: |
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print(f"[PNL_CHECK] {alpha_id} 无PNL记录, 判定为不合法") |
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return False |
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return False |
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date_list = [] |
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date_list = [] |
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@ -165,16 +241,21 @@ def get_alpha_pnl_legal(s, alpha_id: str) -> bool: |
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date_obj = datetime.datetime.strptime(record[0], '%Y-%m-%d').date() |
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date_obj = datetime.datetime.strptime(record[0], '%Y-%m-%d').date() |
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date_list.append(date_obj) |
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date_list.append(date_obj) |
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except Exception: |
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except Exception: |
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print(f"[PNL_CHECK] {alpha_id} 日期解析失败, 判定为不合法") |
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return False |
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return False |
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min_date = min(date_list) |
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min_date = min(date_list) |
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max_date = max(date_list) |
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max_date = max(date_list) |
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total_days = (max_date - min_date).days |
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total_days = (max_date - min_date).days |
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print(f"[PNL_CHECK] 日期范围: {min_date} 到 {max_date}, 总天数: {total_days}") |
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if total_days < 2920: |
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if total_days < 2920: |
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print(f"[PNL_CHECK] {alpha_id} 时间跨度不足8年({total_days}天), 判定为不合法") |
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return False |
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return False |
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zero_streak_threshold = 5 * 252 |
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zero_streak_threshold = 5 * 252 |
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col1_zeros = [record[1] == 0 for record in records] |
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col1_zeros = [record[1] == 0 for record in records] |
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print(f"[PNL_CHECK] 列1零值数量: {sum(col1_zeros)}/{len(col1_zeros)}") |
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def max_consecutive_zeros(arr): |
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def max_consecutive_zeros(arr): |
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max_streak = current_streak = 0 |
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max_streak = current_streak = 0 |
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@ -184,39 +265,61 @@ def get_alpha_pnl_legal(s, alpha_id: str) -> bool: |
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return max_streak |
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return max_streak |
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col1_max_zero_streak = max_consecutive_zeros(col1_zeros) |
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col1_max_zero_streak = max_consecutive_zeros(col1_zeros) |
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print(f"[PNL_CHECK] 列1最大连续零值: {col1_max_zero_streak}") |
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if col1_max_zero_streak >= zero_streak_threshold: |
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if col1_max_zero_streak >= zero_streak_threshold: |
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print(f"{alpha_id} 不合法:存在连续{zero_streak_threshold // 252}年零值") |
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print(f"[PNL_CHECK] {alpha_id} 不合法:存在连续{zero_streak_threshold // 252}年零值") |
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not_legal_id.append(str(alpha_id)) |
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not_legal_id.append(str(alpha_id)) |
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return False |
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return False |
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print(f"[PNL_CHECK] 正在检查连续非零值...") |
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if not check_consecutive_non_zero_values(alpha_id, records): |
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if not check_consecutive_non_zero_values(alpha_id, records): |
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return False |
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return False |
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print(f"[PNL_CHECK] {alpha_id} 合法") |
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return True |
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return True |
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def mute(s, alpha_id): |
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def mute(s, alpha_id): |
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print(f"[MUTE] 正在隐藏Alpha: {alpha_id}") |
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url = "https://api.worldquantbrain.com/alphas/" + alpha_id |
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url = "https://api.worldquantbrain.com/alphas/" + alpha_id |
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|
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data = { |
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data = { |
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"hidden": True |
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"hidden": True |
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} |
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} |
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response = s.patch(url, json=data) |
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response = s.patch(url, json=data) |
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print(f"[MUTE] 隐藏 {alpha_id} 完成, 状态码: {response.status_code}") |
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def main(): |
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def main(): |
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|
|
fo_tracker, s = get_alphas('12-01', '12-31', 1, 0.5, 'USA', 1000, 'submit') |
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|
|
print("=" * 60) |
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print("[MAIN] 程序启动") |
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|
print("=" * 60) |
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|
s = login() |
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|
|
fo_tracker, _ = get_alphas(s, '2025-09-17', '2026-12-31', 1, 0.5, 'USA', 1000, 'submit') |
|
|
|
f_num = len(fo_tracker) |
|
|
|
f_num = len(fo_tracker) |
|
|
|
print(f_num, "个alpha 进行pnl合法检测,请耐心等待") |
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|
|
print(f"\n[MAIN] 共 {f_num} 个alpha 进行pnl合法检测,请耐心等待") |
|
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|
|
print(f"[MAIN] 实际列表长度: {len(fo_tracker)}") |
|
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|
|
|
count = 0 |
|
|
|
count = 0 |
|
|
|
print(len(fo_tracker)) |
|
|
|
total = len(fo_tracker) |
|
|
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|
|
|
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|
|
|
for i in fo_tracker[::-1][0:]: |
|
|
|
for i in fo_tracker[::-1][0:]: |
|
|
|
if count % 25 == 0: |
|
|
|
if count % 25 == 0: |
|
|
|
print('===========', count, '===========') |
|
|
|
print(f'\n[MAIN] =========== 进度: {count}/{total} ({count/total*100:.1f}%) ===========') |
|
|
|
count += 1 |
|
|
|
count += 1 |
|
|
|
if get_alpha_pnl_legal(s, i[0]) == False: |
|
|
|
|
|
|
|
print(i[0], '已经隐藏') |
|
|
|
alpha_id = i[0] |
|
|
|
mute(s, i[0]) |
|
|
|
print(f"\n[MAIN] 正在处理第 {count} 个alpha: {alpha_id}") |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if get_alpha_pnl_legal(s, alpha_id) == False: |
|
|
|
|
|
|
|
print(f"[MAIN] {alpha_id} 检测结果: 不合法, 执行隐藏操作") |
|
|
|
|
|
|
|
mute(s, alpha_id) |
|
|
|
|
|
|
|
else: |
|
|
|
|
|
|
|
print(f"[MAIN] {alpha_id} 检测结果: 合法") |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
print("\n" + "=" * 60) |
|
|
|
|
|
|
|
print(f"[MAIN] 全部处理完成, 共处理 {count} 个alpha") |
|
|
|
|
|
|
|
print("=" * 60) |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == "__main__": |
|
|
|
if __name__ == "__main__": |
|
|
|
|