I have a CSV payload TV Programs & Episodes that I want to Transform (Nest & Condense) to a JSON, with the following conditions:
- Merge consecutive Program Lines (that are not followed by an Episode Line), so that it becomes 1 Program with the Start Date of the 1st Instance and the Summation of the Duration.
- Episode Lines after a Program Line are Nested under the Program
INPUT
Channel|Name|Start|Duration|Type
ACME|Broke Girls|2018-02-01T00:00:00|600|Program
ACME|Broke Girls|2018-02-01T00:10:00|3000|Program
ACME|S03_8|2018-02-01T00:13:05|120|Episode
ACME|S03_9|2018-02-01T00:29:10|120|Episode
ACME|S04_1|2018-02-01T00:44:12|120|Episode
ACME|Lost In Translation|2018-02-01T02:01:00|1800|Program
ACME|Lost In Translation|2018-02-01T02:30:00|1800|Program
ACME|The Demolition Man|2018-02-01T03:00:00|1800|Program
ACME|The Demolition Man|2018-02-01T03:30:00|1800|Program
ACME|The Demolition Man|2018-02-01T04:00:00|1800|Program
ACME|The Demolition Man|2018-02-01T04:30:00|1800|Program
ACME|Photon|2018-02-01T05:00:00|1800|Program
ACME|Photon|2018-02-01T05:30:00|1800|Program
ACME|Miles & Smiles|2018-02-01T06:00:00|3600|Program
ACME|S015_1|2018-02-01T06:13:53|120|Episode
ACME|S015_2|2018-02-01T06:29:22|120|Episode
ACME|S015_3|2018-02-01T06:46:28|120|Episode
ACME|Ice Age|2018-02-01T07:00:00|300|Program
ACME|Ice Age|2018-02-01T07:05:00|600|Program
ACME|Ice Age|2018-02-01T07:15:00|2700|Program
ACME|S01_4|2018-02-01T07:17:17|120|Episode
ACME|S01_5|2018-02-01T07:32:11|120|Episode
ACME|S01_6|2018-02-01T07:47:20|120|Episode
ACME|My Girl Friday|2018-02-01T08:00:00|3600|Program
ACME|S05_7|2018-02-01T08:17:28|120|Episode
ACME|S05_8|2018-02-01T08:31:59|120|Episode
ACME|S05_9|2018-02-01T08:44:42|120|Episode
ACME|Pirate Bay|2018-02-01T09:00:00|3600|Program
ACME|S01_1|2018-02-01T09:33:12|120|Episode
ACME|S01_2|2018-02-01T09:46:19|120|Episode
ACME|Broke Girls|2018-02-01T10:00:00|1200|Program
ACME|S05_3|2018-02-01T10:13:05|120|Episode
ACME|S05_4|2018-02-01T10:29:10|120|Episode
OUTPUT
{
"programs": [
{
"StartTime": "2018-02-01T00:00:00",
"Duration": 3600,
"Name": "Broke Girls",
"episode": [
{
"name": "S03_8",
"startDateTime": "2018-02-01T00:13:05",
"duration": 120
},
{
"name": "S03_9",
"startDateTime": "2018-02-01T00:29:10",
"duration": 120
},
{
"name": "S04_1",
"startDateTime": "2018-02-01T00:44:12",
"duration": 120
}
]
},
{
"StartTime": "2018-02-01T06:00:00",
"Duration": 3600,
"Name": "Miles & Smiles",
"episode": [
{
"name": "S015_1",
"startDateTime": "2018-02-01T06:13:53",
"duration": 120
},
{
"name": "S015_2",
"startDateTime": "2018-02-01T06:29:22",
"duration": 120
},
{
"name": "S015_3",
"startDateTime": "2018-02-01T06:46:28",
"duration": 120
}
]
},
{
"StartTime": "2018-02-01T07:00:00",
"Duration": 3600,
"Name": "Ice Age",
"episode": [
{
"name": "S01_4",
"startDateTime": "2018-02-01T07:17:17",
"duration": 120
},
{
"name": "S01_5",
"startDateTime": "2018-02-01T07:32:11",
"duration": 120
},
{
"name": "S01_6",
"startDateTime": "2018-02-01T07:47:20",
"duration": 120
}
]
},
{
"StartTime": "2018-02-01T08:00:00",
"Duration": 3600,
"Name": "My Girl Friday",
"episode": [
{
"name": "S05_7",
"startDateTime": "2018-02-01T08:17:28",
"duration": 120
},
{
"name": "S05_8",
"startDateTime": "2018-02-01T08:31:59",
"duration": 120
},
{
"name": "S05_9",
"startDateTime": "2018-02-01T08:44:42",
"duration": 120
}
]
},
{
"StartTime": "2018-02-01T09:00:00",
"Duration": 3600,
"Name": "Pirate Bay",
"episode": [
{
"name": "S01_1",
"startDateTime": "2018-02-01T09:33:12",
"duration": 120
},
{
"name": "S01_2",
"startDateTime": "2018-02-01T09:46:19",
"duration": 120
}
]
},
{
"StartTime": "2018-02-01T10:00:00",
"Duration": 1200,
"Name": "Broke Girls",
"episode": [
{
"name": "S05_3",
"startDateTime": "2018-02-01T10:13:05",
"duration": 120
},
{
"name": "S05_4",
"startDateTime": "2018-02-01T10:29:10",
"duration": 120
}
]
}
]
}