1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Dataset conversion script
Author: Gertjan van den Burg
"""
import argparse
import clevercsv
import json
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("input_file", help="File to convert")
parser.add_argument("output_file", help="File to write to")
return parser.parse_args()
def main():
args = parse_args()
with open(args.input_file, "r", newline="", encoding="ascii") as fp:
reader = clevercsv.reader(
fp, delimiter=",", quotechar="", escapechar=""
)
rows = list(reader)
header = rows.pop(0)
name = "run_log"
longname = "Run Log"
time = [r[0].rstrip("Z").replace("T", " ") for r in rows]
time_fmt = "%Y-%m-%d %H:%M:%S"
pace = [float(r[3]) for r in rows]
distance = [float(r[4]) for r in rows]
series = [
{"label": "Pace", "type": "float", "raw": pace},
{"label": "Distance", "type": "float", "raw": distance},
]
data = {
"name": name,
"longname": longname,
"n_obs": len(time),
"n_dim": len(series),
"time": {
"type": "string",
"format": time_fmt,
"index": list(range(len(time))),
"raw": time,
},
"series": series,
}
with open(args.output_file, "w") as fp:
json.dump(data, fp, indent="\t")
if __name__ == "__main__":
main()
|