19 lines
1.2 KiB
Python
19 lines
1.2 KiB
Python
import pandas as pd
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def parse_day_segments(day_segments):
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# Add code to parse frequencies, intervals, and events
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# Expected formats:
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# Frequency: label, length columns (e.g. my_prefix, 5) length has to be in minutes (int)
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# Interval: label, start, end columns (e.g. daily, 00:00, 23:59) start and end should be valid hours in 24 hour format
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# Event: label, timestamp, length, shift (e.g., survey1, 1532313215463, 60, -30), timestamp is a UNIX timestamp in ms, length is in minutes (int), shift is in minutes (+/-int) and is add/substracted from timestamp
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# Our output should have local_date, start_time, end_time, label. In the readable_datetime script, If local_date has the same value for all rows, every segment will be applied for all days, otherwise each segment will be applied only to its local_date
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day_segments["local_date"] = 1
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day_segments = day_segments.rename(columns={"start": "start_time", "end":"end_time"})
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return day_segments
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##########################
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day_segments = pd.read_csv(snakemake.input[0])
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day_segments = parse_day_segments(day_segments)
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day_segments.to_csv(snakemake.output["segments_file"], index=False) |