我试图在谷歌的各个地方找到答案，但无法找到一个看起来像我的问题的匹配。 我目前正在开发一个预约系统，其数据来自外部系统。
在我的系统中，可以选择＆＃34;产品＆＃34;和数量。以下是选定产品的示例：
A0004 2x（预约长度= 10分钟，总共20分钟）
A0010 1x（预约长度= 5分钟）
来自外部系统的API要求我按产品请求可用的日期和时间。因此，当我这样做时，我有一个包含2个产品及其可用性的阵列。例如：
（日期时间实际上是时间戳，但我希望在此示例中使其更具视觉效果）
Array
(
[A0004] => Array
(
[0] => 30-10-2014 09:20:00
[1] => 30-10-2014 09:30:00
[2] => 30-10-2014 15:20:00
[3] => 30-10-2014 15:30:00
[4] => 30-10-2014 16:30:00
[5] => 30-10-2014 17:10:00
[6] => 30-10-2014 17:20:00
[7] => 30-10-2014 17:30:00
[8] => 30-10-2014 18:10:00
[9] => 30-10-2014 18:20:00
[10] => 30-10-2014 18:30:00
[11] => 31-10-2014 09:00:00
[12] => 31-10-2014 09:10:00
[13] => 31-10-2014 09:20:00
[14] => 31-10-2014 12:20:00
[15] => 03-11-2014 09:10:00
[16] => 03-11-2014 09:20:00
[17] => 03-11-2014 09:30:00
[18] => 03-11-2014 10:10:00
[19] => 03-11-2014 10:20:00
[20] => 03-11-2014 12:10:00
[21] => 03-11-2014 12:20:00
[22] => 03-11-2014 12:30:00
[23] => 03-11-2014 13:00:00
[24] => 03-11-2014 13:10:00
[25] => 03-11-2014 13:20:00
[26] => 03-11-2014 14:00:00
[27] => 03-11-2014 14:10:00
[28] => 03-11-2014 14:20:00
[29] => 03-11-2014 14:30:00
[30] => 03-11-2014 15:10:00
[31] => 03-11-2014 15:20:00
[32] => 03-11-2014 15:30:00
[33] => 03-11-2014 16:00:00
[34] => 03-11-2014 16:10:00
[35] => 03-11-2014 16:20:00
[36] => 03-11-2014 16:30:00
[37] => 03-11-2014 17:00:00
[38] => 03-11-2014 17:10:00
[39] => 03-11-2014 17:20:00
)
[A0010] => Array
(
[0] => 29-10-2014 15:15:00
[1] => 29-10-2014 15:40:00
[2] => 29-10-2014 16:35:00
[3] => 29-10-2014 16:40:00
[4] => 29-10-2014 17:10:00
[5] => 29-10-2014 17:15:00
[6] => 29-10-2014 17:20:00
[7] => 29-10-2014 17:40:00
[8] => 30-10-2014 09:20:00
[9] => 30-10-2014 09:25:00
[10] => 30-10-2014 09:30:00
[11] => 30-10-2014 09:35:00
[12] => 30-10-2014 09:40:00
[13] => 30-10-2014 10:10:00
[14] => 30-10-2014 10:25:00
[15] => 30-10-2014 10:40:00
[16] => 30-10-2014 11:05:00
[17] => 30-10-2014 11:40:00
[18] => 30-10-2014 12:25:00
[19] => 30-10-2014 12:40:00
[20] => 30-10-2014 13:40:00
[21] => 30-10-2014 14:10:00
[22] => 30-10-2014 14:40:00
[23] => 30-10-2014 15:20:00
[24] => 30-10-2014 15:25:00
[25] => 30-10-2014 15:30:00
[26] => 30-10-2014 15:35:00
[27] => 30-10-2014 15:40:00
[28] => 30-10-2014 16:15:00
[29] => 30-10-2014 16:20:00
[30] => 30-10-2014 16:30:00
[31] => 30-10-2014 16:35:00
[32] => 30-10-2014 16:40:00
[33] => 30-10-2014 17:10:00
[34] => 30-10-2014 17:15:00
[35] => 30-10-2014 17:20:00
[36] => 30-10-2014 17:25:00
[37] => 30-10-2014 17:30:00
[38] => 30-10-2014 17:35:00
[39] => 30-10-2014 17:40:00
[40] => 30-10-2014 18:05:00
[41] => 30-10-2014 18:10:00
[42] => 30-10-2014 18:15:00
[43] => 30-10-2014 18:20:00
[44] => 30-10-2014 18:25:00
[45] => 30-10-2014 18:30:00
[46] => 30-10-2014 18:35:00
[47] => 30-10-2014 18:40:00
[48] => 30-10-2014 19:15:00
[49] => 30-10-2014 20:40:00
[50] => 31-10-2014 09:00:00
[51] => 31-10-2014 09:05:00
[52] => 31-10-2014 09:10:00
[53] => 31-10-2014 09:15:00
[54] => 31-10-2014 09:20:00
[55] => 31-10-2014 09:25:00
[56] => 31-10-2014 09:40:00
[57] => 31-10-2014 10:25:00
[58] => 31-10-2014 10:35:00
[59] => 31-10-2014 11:35:00
[60] => 31-10-2014 11:40:00
[61] => 31-10-2014 12:20:00
[62] => 31-10-2014 12:25:00
[63] => 03-11-2014 09:05:00
[64] => 03-11-2014 09:10:00
[65] => 03-11-2014 09:15:00
[66] => 03-11-2014 09:20:00
[67] => 03-11-2014 09:25:00
[68] => 03-11-2014 09:30:00
[69] => 03-11-2014 09:35:00
[70] => 03-11-2014 09:40:00
[71] => 03-11-2014 10:05:00
[72] => 03-11-2014 10:10:00
[73] => 03-11-2014 10:15:00
[74] => 03-11-2014 10:20:00
[75] => 03-11-2014 10:25:00
[76] => 03-11-2014 10:40:00
[77] => 03-11-2014 11:25:00
[78] => 03-11-2014 11:40:00
[79] => 03-11-2014 12:05:00
[80] => 03-11-2014 12:10:00
[81] => 03-11-2014 12:15:00
[82] => 03-11-2014 12:20:00
[83] => 03-11-2014 12:25:00
[84] => 03-11-2014 12:30:00
[85] => 03-11-2014 12:35:00
[86] => 03-11-2014 12:40:00
[87] => 03-11-2014 13:00:00
[88] => 03-11-2014 13:05:00
[89] => 03-11-2014 13:10:00
[90] => 03-11-2014 13:15:00
[91] => 03-11-2014 13:20:00
[92] => 03-11-2014 13:25:00
[93] => 03-11-2014 13:35:00
[94] => 03-11-2014 13:40:00
[95] => 03-11-2014 14:00:00
[96] => 03-11-2014 14:05:00
[97] => 03-11-2014 14:10:00
[98] => 03-11-2014 14:15:00
[99] => 03-11-2014 14:20:00
)
)
1
根据上述信息，我应该生成一系列时间段，这两个产品可以预约（数量为3个）。
一句话，可以选择2件以上的产品和2件以上的产品，因此必须灵活。
因此，总结：产品A0004已被选中两次，因此必须连续两次（总共20分钟）可用时间段，而另一产品必须连接该时间段（之前或之后）是可能的）。最终结果必须是一个包含可用时隙的数组。
有没有人知道如何才能让它发挥作用？特别是具有所选产品的数量和数量的灵活性。