update

b/cntoai/model_usage_admin_report.dspy

@@ -0,0 +1,512 @@
+def _escape(value):
+    if value is None:
+        return None
+    return str(value).replace("'", "''")
+
+
+def _parse_usage_content(raw):
+    if not raw:
+        return {}
+    if isinstance(raw, dict):
+        return raw
+    try:
+        return json.loads(raw)
+    except (TypeError, ValueError):
+        return {}
+
+
+def _resolve_time_range(ns):
+    """
+    解析时间范围。
+
+    优先使用 start_time + end_time；否则按 range 快捷窗口：
+      hour -> 最近 1 小时
+      day  -> 最近 1 天
+      week -> 最近 7 天
+    默认 day。
+    """
+    start_time = ns.get('start_time')
+    end_time = ns.get('end_time')
+    range_type = (ns.get('range') or ns.get('range_type') or 'day').lower()
+
+    now = datetime.datetime.now()
+    if start_time and end_time:
+        start_dt = _parse_datetime(start_time)
+        end_dt = _parse_datetime(end_time, end_of_day=True)
+        if not start_dt or not end_dt:
+            return None, None, 'start_time / end_time 格式无效，请使用 YYYY-MM-DD 或 YYYY-MM-DD HH:MM:SS'
+        if start_dt > end_dt:
+            return None, None, 'start_time 不能晚于 end_time'
+        return start_dt, end_dt, None
+
+    delta_map = {
+        'hour': datetime.timedelta(hours=1),
+        'day': datetime.timedelta(days=1),
+        'week': datetime.timedelta(weeks=1),
+    }
+    if range_type not in delta_map:
+        return None, None, 'range 仅支持 hour / day / week'
+
+    end_dt = now
+    start_dt = now - delta_map[range_type]
+    return start_dt, end_dt, None
+
+
+def _parse_datetime(value, end_of_day=False):
+    if not value:
+        return None
+    text = str(value).strip()
+    for fmt in ('%Y-%m-%d %H:%M:%S', '%Y-%m-%d'):
+        try:
+            dt = datetime.datetime.strptime(text, fmt)
+            if fmt == '%Y-%m-%d' and end_of_day:
+                dt = dt.replace(hour=23, minute=59, second=59)
+            return dt
+        except ValueError:
+            continue
+    return None
+
+
+def _format_datetime(dt):
+    return dt.strftime('%Y-%m-%d %H:%M:%S')
+
+
+def _group_key(dt, group_by):
+    if group_by == 'hour':
+        return dt.strftime('%Y-%m-%d %H:00:00')
+    if group_by == 'week':
+        monday = dt - datetime.timedelta(days=dt.weekday())
+        return monday.strftime('%Y-%m-%d')
+    return dt.strftime('%Y-%m-%d')
+
+
+def _normalize_usage_row(row, bill_amount_map=None):
+    usage = _parse_usage_content(row.get('usage_content'))
+    orderid = row.get('orderid')
+    amount = float(row.get('original_price') or 0)
+    if bill_amount_map and orderid and orderid in bill_amount_map:
+        amount = float(bill_amount_map[orderid] or amount)
+
+    return {
+        'id': row.get('id'),
+        'userid': row.get('userid'),
+        'llmid': row.get('llmid'),
+        'model': usage.get('model') or row.get('model_name') or row.get('llm_model'),
+        'prompt_tokens': int(usage.get('prompt_tokens') or 0),
+        'completion_tokens': int(usage.get('completion_tokens') or 0),
+        'total_tokens': int(usage.get('total_tokens') or 0),
+        'amount': round(amount, 8),
+        'bill_status': row.get('bill_status'),
+        'orderid': orderid,
+        'usage_time': row.get('created_at'),
+    }
+
+
+async def _fetch_bill_amount_map(sor, order_ids):
+    if not order_ids:
+        return {}
+    result = {}
+    for orderid in set(order_ids):
+        if not orderid:
+            continue
+        rows = await sor.R('bill', {'orderid': orderid, 'del_flg': '0'})
+        if rows:
+            result[orderid] = sum(float(r.get('amount') or 0) for r in rows)
+    return result
+
+
+async def _fetch_llm_model_map(sor, llm_ids):
+    result = {}
+    for llmid in set(llm_ids):
+        if not llmid:
+            continue
+        rows = await sor.R('llm', {'id': llmid})
+        if rows:
+            result[llmid] = rows[0].get('model')
+    return result
+
+
+def _build_usage_where(userid=None, userids=None, start_dt=None, end_dt=None, model_filter=None):
+    """构建 model_usage 单表查询条件（不使用 JOIN，兼容 sqlExe 环境）。"""
+    conditions = []
+    if userid:
+        conditions.append("userid = '%s'" % _escape(userid))
+    elif userids:
+        escaped = ["'%s'" % _escape(uid) for uid in userids if uid]
+        if not escaped:
+            conditions.append('1 = 0')
+        else:
+            conditions.append('userid IN (%s)' % ','.join(escaped))
+    if start_dt and end_dt:
+        conditions.append(
+            "created_at BETWEEN '%s' AND '%s'"
+            % (_format_datetime(start_dt), _format_datetime(end_dt))
+        )
+    if model_filter:
+        conditions.append(
+            "JSON_UNQUOTE(JSON_EXTRACT(usage_content, '$.model')) = '%s'"
+            % _escape(model_filter)
+        )
+    return conditions
+
+
+async def _query_model_usage_rows(sor, conditions, limit=None, offset=None):
+    where_clause = ' AND '.join(conditions) if conditions else '1 = 1'
+    sql = """
+        SELECT id, userid, llmid, original_price, orderid, bill_status, usage_content, created_at
+        FROM model_usage
+        WHERE %s
+        ORDER BY created_at DESC
+    """ % where_clause
+    if limit is not None:
+        sql += ' LIMIT %d OFFSET %d' % (int(limit), int(offset or 0))
+    return await sor.sqlExe(sql, {})
+
+
+async def _count_model_usage(sor, conditions):
+    where_clause = ' AND '.join(conditions) if conditions else '1 = 1'
+    sql = 'SELECT COUNT(*) AS total_count FROM model_usage WHERE %s' % where_clause
+    return (await sor.sqlExe(sql, {}))[0]['total_count']
+
+
+async def _enrich_usage_rows(sor, rows):
+    order_ids = [row.get('orderid') for row in rows if row.get('orderid')]
+    llm_ids = [row.get('llmid') for row in rows if row.get('llmid')]
+    bill_amount_map = await _fetch_bill_amount_map(sor, order_ids)
+    llm_model_map = await _fetch_llm_model_map(sor, llm_ids)
+    items = []
+    for row in rows:
+        enriched = dict(row)
+        enriched['llm_model'] = llm_model_map.get(row.get('llmid'))
+        items.append(_normalize_usage_row(enriched, bill_amount_map))
+    return items
+
+
+async def _fetch_customer_users(sor, orgid, customerid=None):
+    """获取机构下客户及其用户映射。"""
+    org_rows = await sor.R('organization', {'parentid': orgid, 'del_flg': '0'})
+    if customerid:
+        org_rows = [row for row in org_rows if row.get('id') == customerid]
+    org_map = {row['id']: row for row in org_rows}
+
+    user_map = {}
+    for oid in org_map:
+        user_rows = await sor.R('users', {'orgid': oid, 'del_flg': '0'})
+        for user in user_rows:
+            user_map[user['id']] = user
+    return org_map, user_map
+
+
+def _aggregate_admin_summary(items, user_map, org_map):
+    buckets = {}
+    for item in items:
+        user = user_map.get(item.get('userid'), {})
+        org = org_map.get(user.get('orgid'), {})
+        model = item.get('model') or 'unknown'
+        key = (org.get('id'), item.get('userid'), model)
+        if key not in buckets:
+            buckets[key] = {
+                'customerid': org.get('id'),
+                'customer_name': org.get('orgname'),
+                'userid': item.get('userid'),
+                'username': user.get('username'),
+                'user_name': user.get('name'),
+                'model': model,
+                'prompt_tokens': 0,
+                'completion_tokens': 0,
+                'total_tokens': 0,
+                'amount': 0.0,
+                'request_count': 0,
+                'first_usage_time': item.get('usage_time'),
+                'last_usage_time': item.get('usage_time'),
+            }
+        bucket = buckets[key]
+        bucket['prompt_tokens'] += item.get('prompt_tokens') or 0
+        bucket['completion_tokens'] += item.get('completion_tokens') or 0
+        bucket['total_tokens'] += item.get('total_tokens') or 0
+        bucket['amount'] = round(bucket['amount'] + float(item.get('amount') or 0), 8)
+        bucket['request_count'] += 1
+        usage_time = item.get('usage_time')
+        if usage_time:
+            bucket['last_usage_time'] = usage_time
+            if (
+                not bucket.get('first_usage_time')
+                or str(usage_time) < str(bucket['first_usage_time'])
+            ):
+                bucket['first_usage_time'] = usage_time
+    return sorted(buckets.values(), key=lambda x: x['amount'], reverse=True)
+
+
+def _aggregate_items(items, group_by=None):
+    if not group_by:
+        return items
+
+    buckets = {}
+    for item in items:
+        usage_time = item.get('usage_time')
+        if isinstance(usage_time, str):
+            dt = _parse_datetime(usage_time)
+        else:
+            dt = usage_time
+        if not dt:
+            key = 'unknown'
+        else:
+            key = _group_key(dt, group_by)
+
+        if key not in buckets:
+            buckets[key] = {
+                'period': key,
+                'model': item.get('model'),
+                'prompt_tokens': 0,
+                'completion_tokens': 0,
+                'total_tokens': 0,
+                'amount': 0.0,
+                'request_count': 0,
+            }
+        bucket = buckets[key]
+        bucket['prompt_tokens'] += item.get('prompt_tokens') or 0
+        bucket['completion_tokens'] += item.get('completion_tokens') or 0
+        bucket['total_tokens'] += item.get('total_tokens') or 0
+        bucket['amount'] = round(bucket['amount'] + float(item.get('amount') or 0), 8)
+        bucket['request_count'] += 1
+
+    return sorted(buckets.values(), key=lambda x: x['period'], reverse=True)
+
+
+def _summarize(items):
+    return {
+        'request_count': len(items),
+        'prompt_tokens': sum(i.get('prompt_tokens') or 0 for i in items),
+        'completion_tokens': sum(i.get('completion_tokens') or 0 for i in items),
+        'total_tokens': sum(i.get('total_tokens') or 0 for i in items),
+        'amount': round(sum(float(i.get('amount') or 0) for i in items), 8),
+    }
+
+
+async def model_usage_user_report(ns={}):
+    """
+    用户查看自己的模型使用记录。
+
+    参数：
+        userid          可选，默认当前登录用户
+        start_time      开始时间，格式 YYYY-MM-DD 或 YYYY-MM-DD HH:MM:SS
+        end_time        结束时间
+        range           快捷范围：hour / day / week（未传 start/end 时生效，默认 day）
+        model           按模型标识筛选（usage_content.model）
+        group_by          聚合粒度：hour / day / week，不传则返回明细
+        current_page      页码，默认 1
+        page_size         每页条数，默认 20
+
+    返回字段：
+        model, prompt_tokens, completion_tokens, total_tokens, amount, usage_time
+    """
+    if ns.get('userid'):
+        userid = ns.get('userid')
+    else:
+        userid = await get_user()
+    if not userid:
+        server_error(401)
+
+    start_dt, end_dt, err = _resolve_time_range(ns)
+    if err:
+        return {'status': False, 'msg': err}
+
+    model_filter = ns.get('model')
+    group_by = (ns.get('group_by') or '').lower() or None
+    if group_by and group_by not in ('hour', 'day', 'week'):
+        return {'status': False, 'msg': 'group_by 仅支持 hour / day / week'}
+
+    page_size = int(ns.get('page_size', 20))
+    current_page = int(ns.get('current_page', 1))
+    offset = (current_page - 1) * page_size
+
+    db = DBPools()
+    async with db.sqlorContext('kboss') as sor:
+        try:
+            user_rows = await sor.R('users', {'id': userid, 'del_flg': '0'})
+            if not user_rows:
+                return {'status': False, 'msg': '用户不存在'}
+
+            conditions = _build_usage_where(
+                userid=userid,
+                start_dt=start_dt,
+                end_dt=end_dt,
+                model_filter=model_filter,
+            )
+            total_count = await _count_model_usage(sor, conditions)
+
+            if group_by:
+                all_rows = await _query_model_usage_rows(sor, conditions)
+                all_items = await _enrich_usage_rows(sor, all_rows)
+                grouped = _aggregate_items(all_items, group_by)
+                return {
+                    'status': True,
+                    'msg': '查询成功',
+                    'data': {
+                        'userid': userid,
+                        'start_time': _format_datetime(start_dt),
+                        'end_time': _format_datetime(end_dt),
+                        'summary': _summarize(all_items),
+                        'group_by': group_by,
+                        'groups': grouped,
+                    },
+                }
+
+            all_rows = await _query_model_usage_rows(sor, conditions)
+            all_items = await _enrich_usage_rows(sor, all_rows)
+            page_rows = await _query_model_usage_rows(
+                sor, conditions, limit=page_size, offset=offset,
+            )
+            items = await _enrich_usage_rows(sor, page_rows)
+
+            return {
+                'status': True,
+                'msg': '查询成功',
+                'data': {
+                    'userid': userid,
+                    'start_time': _format_datetime(start_dt),
+                    'end_time': _format_datetime(end_dt),
+                    'summary': _summarize(all_items),
+                    'total_count': total_count,
+                    'current_page': current_page,
+                    'page_size': page_size,
+                    'items': items,
+                },
+            }
+        except Exception as e:
+            return {'status': False, 'msg': '查询失败, %s' % str(e)}
+
+
+async def model_usage_admin_report(ns={}):
+    """
+    管理员查看当前机构下所有客户的模型使用汇总。
+
+    参数：
+        userid          可选，默认当前登录用户（须为机构管理员）
+        start_time      开始时间
+        end_time        结束时间
+        range           快捷范围：hour / day / week（未传 start/end 时生效，默认 day）
+        customerid      可选，按客户机构 id 筛选
+        model           可选，按模型标识筛选
+        group_by          聚合粒度：hour / day / week；不传则按客户+模型汇总
+        current_page      页码，默认 1
+        page_size         每页条数，默认 20
+
+    返回字段：
+        customerid, customer_name, userid, username, model,
+        prompt_tokens, completion_tokens, total_tokens, amount, usage_time
+    """
+    if ns.get('userid'):
+        userid = ns.get('userid')
+    else:
+        userid = await get_user()
+    if not userid:
+        server_error(401)
+
+    start_dt, end_dt, err = _resolve_time_range(ns)
+    if err:
+        return {'status': False, 'msg': err}
+
+    customerid = ns.get('customerid')
+    model_filter = ns.get('model')
+    group_by = (ns.get('group_by') or '').lower() or None
+    if group_by and group_by not in ('hour', 'day', 'week'):
+        return {'status': False, 'msg': 'group_by 仅支持 hour / day / week'}
+
+    page_size = int(ns.get('page_size', 20))
+    current_page = int(ns.get('current_page', 1))
+    offset = (current_page - 1) * page_size
+
+    db = DBPools()
+    async with db.sqlorContext('kboss') as sor:
+        try:
+            user_rows = await sor.R('users', {'id': userid, 'del_flg': '0'})
+            if not user_rows:
+                return {'status': False, 'msg': '用户不存在'}
+
+            orgid = user_rows[0].get('orgid')
+            user_role = await get_user_role({'userid': userid, 'sor': sor})
+            if user_role not in ('管理员', '运营', '运营管理员'):
+                return {'status': False, 'msg': '无权限，仅机构管理员可查看'}
+
+            org_map, user_map = await _fetch_customer_users(sor, orgid, customerid)
+            user_ids = list(user_map.keys())
+            if not user_ids:
+                empty_data = {
+                    'orgid': orgid,
+                    'start_time': _format_datetime(start_dt),
+                    'end_time': _format_datetime(end_dt),
+                    'summary': _summarize([]),
+                    'total_count': 0,
+                    'current_page': current_page,
+                    'page_size': page_size,
+                    'items': [],
+                }
+                if group_by:
+                    empty_data = {
+                        'orgid': orgid,
+                        'start_time': _format_datetime(start_dt),
+                        'end_time': _format_datetime(end_dt),
+                        'summary': _summarize([]),
+                        'group_by': group_by,
+                        'groups': [],
+                    }
+                return {'status': True, 'msg': '查询成功', 'data': empty_data}
+
+            conditions = _build_usage_where(
+                userids=user_ids,
+                start_dt=start_dt,
+                end_dt=end_dt,
+                model_filter=model_filter,
+            )
+            all_rows = await _query_model_usage_rows(sor, conditions)
+            all_items = await _enrich_usage_rows(sor, all_rows)
+
+            if group_by:
+                enriched_items = []
+                for item in all_items:
+                    user = user_map.get(item.get('userid'), {})
+                    org = org_map.get(user.get('orgid'), {})
+                    enriched = dict(item)
+                    enriched['customerid'] = org.get('id')
+                    enriched['customer_name'] = org.get('orgname')
+                    enriched['username'] = user.get('username')
+                    enriched['user_name'] = user.get('name')
+                    enriched_items.append(enriched)
+                grouped = _aggregate_items(enriched_items, group_by)
+                return {
+                    'status': True,
+                    'msg': '查询成功',
+                    'data': {
+                        'orgid': orgid,
+                        'start_time': _format_datetime(start_dt),
+                        'end_time': _format_datetime(end_dt),
+                        'summary': _summarize(all_items),
+                        'group_by': group_by,
+                        'groups': grouped,
+                    },
+                }
+
+            summary_items = _aggregate_admin_summary(all_items, user_map, org_map)
+            total_count = len(summary_items)
+            page_items = summary_items[offset:offset + page_size]
+
+            return {
+                'status': True,
+                'msg': '查询成功',
+                'data': {
+                    'orgid': orgid,
+                    'start_time': _format_datetime(start_dt),
+                    'end_time': _format_datetime(end_dt),
+                    'summary': _summarize(all_items),
+                    'total_count': total_count,
+                    'current_page': current_page,
+                    'page_size': page_size,
+                    'items': page_items,
+                },
+            }
+        except Exception as e:
+            return {'status': False, 'msg': '查询失败, %s' % str(e)}
+
+ret = await model_usage_admin_report(params_kw)
+return ret

b/user/logintype.dspy

@@ -141,7 +141,7 @@ async def logintype(ns):
         
         domain_name = ns.get('domain_name')
         # if domain_name in ['www.opencomputing.cn', 'dev.opencomputing.cn', 'localhost:9527', 'www.ncmatch.cn'] and ns.get('username') not in ['开元云(北京)科技有限公司', 'admin', 'kyy_root', 'kyy_kaiyuan', 'kyacloud', 'kyy_运营', 'kyy_销售', 'kyy_财务', '测试用户', 'kycloud']:
-        if domain_name in ['www.opencomputing.cn', 'dev.opencomputing.cn', 'localhost:9527', 'www.ncmatch.cn'] and not ns.get('username'):
+        if domain_name in ['www.opencomputing.cn', 'dev.opencomputing.cn', 'localhost:9527', 'www.ncmatch.cn'] and not ns.get('username') and not ns.get('codeid'):
             
             # 登录失败次数限制
             login_allowed = await check_login_allowed(ns.get('username'))