t.vect.list: Added support for JSON, YAML and CSV

[gulshan-123]

The tests and idea are taken from t.rast.list.
I have added the tests too.

plain

name|layer|mapset|start_time|end_time
precipitation_1|None|PERMANENT|2001-01-01 00:00:00|2001-02-01 00:00:00
precipitation_2|None|PERMANENT|2001-02-01 00:00:00|2001-03-01 00:00:00
precipitation_3|None|PERMANENT|2001-03-01 00:00:00|2001-04-01 00:00:00
precipitation_4|None|PERMANENT|2001-04-01 00:00:00|2001-05-01 00:00:00
precipitation_5|None|PERMANENT|2001-05-01 00:00:00|2001-06-01 00:00:00
precipitation_6|None|PERMANENT|2001-06-01 00:00:00|2001-07-01 00:00:00

json

{'data': [{'end_time': '2001-02-01 00:00:00',
           'layer': None,
           'mapset': 'PERMANENT',
           'name': 'precipitation_1',
           'start_time': '2001-01-01 00:00:00'},
          {'end_time': '2001-03-01 00:00:00',
           'layer': None,
           'mapset': 'PERMANENT',
           'name': 'precipitation_2',
           'start_time': '2001-02-01 00:00:00'},
          {'end_time': '2001-04-01 00:00:00',
           'layer': None,
           'mapset': 'PERMANENT',
           'name': 'precipitation_3',
           'start_time': '2001-03-01 00:00:00'},
          {'end_time': '2001-05-01 00:00:00',
           'layer': None,
           'mapset': 'PERMANENT',
           'name': 'precipitation_4',
           'start_time': '2001-04-01 00:00:00'},
          {'end_time': '2001-06-01 00:00:00',
           'layer': None,
           'mapset': 'PERMANENT',
           'name': 'precipitation_5',
           'start_time': '2001-05-01 00:00:00'},
          {'end_time': '2001-07-01 00:00:00',
           'layer': None,
           'mapset': 'PERMANENT',
           'name': 'precipitation_6',
           'start_time': '2001-06-01 00:00:00'}],
 'metadata': {'column_names': ['name',
                               'layer',
                               'mapset',
                               'start_time',
                               'end_time']}}

yaml

data:
  - end_time: 2001-02-01 00:00:00
    layer: null
    mapset: PERMANENT
    name: precipitation_1
    start_time: 2001-01-01 00:00:00
  - end_time: 2001-03-01 00:00:00
    layer: null
    mapset: PERMANENT
    name: precipitation_2
    start_time: 2001-02-01 00:00:00
  - end_time: 2001-04-01 00:00:00
    layer: null
    mapset: PERMANENT
    name: precipitation_3
    start_time: 2001-03-01 00:00:00
  - end_time: 2001-05-01 00:00:00
    layer: null
    mapset: PERMANENT
    name: precipitation_4
    start_time: 2001-04-01 00:00:00
  - end_time: 2001-06-01 00:00:00
    layer: null
    mapset: PERMANENT
    name: precipitation_5
    start_time: 2001-05-01 00:00:00
  - end_time: 2001-07-01 00:00:00
    layer: null
    mapset: PERMANENT
    name: precipitation_6
    start_time: 2001-06-01 00:00:00
metadata:
  column_names:
    - name
    - layer
    - mapset
    - start_time
    - end_time

CSV

"name","start_time"
"precipitation_1","2001-01-01 00:00:00"
"precipitation_2","2001-02-01 00:00:00"
"precipitation_3","2001-03-01 00:00:00"
"precipitation_4","2001-04-01 00:00:00"
"precipitation_5","2001-05-01 00:00:00"
"precipitation_6","2001-06-01 00:00:00"

[gulshan-123]

One thing I am sorry about :( and the motivation for this PR:

#7004 , While testing more rigorously, I found this: Currently, #7004 refactored the code to use format parameter in both t.vect.list and t.rast.list, which is not currently supported in t.vect.list. Format parameter is only supported in t.rast.list.

We missed this during review as there is no any tests related to vector time datasets in pytest of timeseriesmap_test.py , only raster dataset was being used.

Thus, my next step will be to add tests corresponding to vector space time datasets too in the pytest, so that similar error do not occur in future in timeseriesmap.

Thank You

[wenzeslaus]

While we use the data-metadata split in v.db.select, is that something we want to use here where the columns are fixed? Did you use it in the other temporal tool?

[gulshan-123]

Did you use it in the other temporal tool?

Yes. we are using the similar data metadata split in t.rast.list.

For t.rast.list:

{'data': [{'end_time': '2001-02-01 00:00:00',
           'mapset': 'PERMANENT',
           'name': 'precipitation_1',
           'start_time': '2001-01-01 00:00:00'},
          {'end_time': '2001-03-01 00:00:00',
           'mapset': 'PERMANENT',
           'name': 'precipitation_2',
           'start_time': '2001-02-01 00:00:00'},
          {'end_time': '2001-04-01 00:00:00',
           'mapset': 'PERMANENT',
           'name': 'precipitation_3',
           'start_time': '2001-03-01 00:00:00'},
          {'end_time': '2001-05-01 00:00:00',
           'mapset': 'PERMANENT',
           'name': 'precipitation_4',
           'start_time': '2001-04-01 00:00:00'},
          {'end_time': '2001-06-01 00:00:00',
           'mapset': 'PERMANENT',
           'name': 'precipitation_5',
           'start_time': '2001-05-01 00:00:00'},
          {'end_time': '2001-07-01 00:00:00',
           'mapset': 'PERMANENT',
           'name': 'precipitation_6',
           'start_time': '2001-06-01 00:00:00'}],
 'metadata': {'column_names': ['name', 'mapset', 'start_time', 'end_time']}}