252 lines
5.3 KiB
Markdown
252 lines
5.3 KiB
Markdown
Some examples of working with the https://www.gibney.org/a_syntax_for_self-tracking logging format
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(discussion: https://news.ycombinator.com/item?id=36492033).
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If you have a.dat:
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```
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2020-05-28 18:41 Eat Pizza
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2020-05-29 09:00 Slept with the window open
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2020-05-29 09:00 Headaches
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```
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This is close enough to hledger's timedot format to do some reporting.
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Each line is interpreted as an empty transaction:
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```
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$ hledger -f timedot:a.dat print
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2020-05-28 * 18:41 Eat Pizza
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2020-05-29 * 09:00 Slept with the window open
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2020-05-29 * 09:00 Headaches
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```
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And you could query those by date or description:
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```
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$ hledger -f timedot:a.dat print date:2020/5/28
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2020-05-28 * 18:41 Eat Pizza
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$ hledger -f timedot:a.dat print desc:eat
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2020-05-28 * 18:41 Eat Pizza
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```
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Or by tag, if you added tags like so:
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```
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2020-05-28 18:41 Eat Pizza ; food:
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2020-05-29 09:00 Slept with the window open ; body:, sleep:
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2020-05-29 09:00 Headaches ; body:
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```
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```
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$ hledger -f timedot:b.dat print tag:sleep
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2020-05-29 * 09:00 Slept with the window open ; body:, sleep:
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```
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You could transform your format to a plain text accounting format with quantities.
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Eg, make it TSV or CSV:
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```
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$ perl -pe '$c=0; $c++ while $c < 2 && s/ /\t/' a.dat > c.tsv
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$ cat c.tsv
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2020-05-28 18:41 Eat Pizza
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2020-05-29 09:00 Slept with the window open
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2020-05-29 09:00 Headaches
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```
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and use hledger CSV conversion rules to customise and enrich it:
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```
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$ cat c.tsv.rules
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fields date, time, description
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# save the time as a tag
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comment time:%time
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# count each item as one "event" by default
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account1 (events)
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amount1 1
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# special cases
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if pizza
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account1 (food)
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amount1 200 cal
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```
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Now you have a (single entry) accounting journal:
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```
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$ hledger -f c.tsv print
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2020-05-28 Eat Pizza ; time:18:41
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(food) 200 cal
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2020-05-29 Slept with the window open ; time:09:00
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(events) 1
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2020-05-29 Headaches ; time:09:00
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(events) 1
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```
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Allowing quantity reports:
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```
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$ hledger -f c.tsv balance -MATS cur:cal
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Balance changes in 2020-05:
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|| May Total Average
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======++===========================
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food || 200 cal 200 cal 200 cal
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------++---------------------------
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|| 200 cal 200 cal 200 cal
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```
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```
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$ hledger -f c.tsv activity -D desc:headache
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2020-05-28
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2020-05-29 *
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```
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```
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$ hledger-bar -v -f c.tsv cur:cal
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2020-05 200 ++
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```
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```
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$ hledger-ui --all -f c.tsv # explore with a TUI
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```
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Or, with d.dat:
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```
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2023-06-27 06:40 Wakeup
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2023-06-27 06:40 Last_night_sleep_time: 07h21
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2023-06-27 06:40 Last_night_sleep_interruptions: 1
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2023-06-27 06:40 Yesterdays_Steps: 11898
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2023-06-27 08:49 Temperature: 24.8
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2023-06-27 08:49 Humidity: 40%
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2023-06-27 09:21 Take_Iron? No
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2023-06-27 09:21 Take_VitaminD3? No
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```
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Convert to character-separated values again (using pipe this time):
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```
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$ cat d.dat | perl -pe '$c=0; $c++ while $c < 2 && s/ /|/' | perl -pe 's/: /|/; s/\? /?|/' > d.csv
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$ cat d.csv
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2023-06-27|06:40|Wakeup
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2023-06-27|06:40|Last_night_sleep_time|07h21
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2023-06-27|06:40|Last_night_sleep_interruptions|1
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2023-06-27|06:40|Yesterdays_Steps|11898
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2023-06-27|08:49|Temperature|24.8
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2023-06-27|08:49|Humidity|40%
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2023-06-27|09:21|Take_Iron?|No
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2023-06-27|09:21|Take_VitaminD3?|No
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```
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Again, use rules to convert/enrich (or, add more structure in the source data,
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requiring less enrichment):
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```
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$ cat d.csv.rules
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separator |
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fields date, time, description, value
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comment time:%time, value:%value
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account1 (events)
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amount1 1
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if %value ^[0-9]+$
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amount1 %value
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if steps
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amount1 %value steps
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if %value no
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amount1 0
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if %value yes
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amount1 1
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if
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wake
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sleep
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account1 (body:sleep)
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if
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steps
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account1 (body:exercise)
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if
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iron
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vitamin
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account1 (body:supplements)
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if
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pizza
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account1 (food)
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amount1 200 cal
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```
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```
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$ hledger -f d.csv print
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2023-06-27 Wakeup ; time:06:40, value:
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(body:sleep) 1
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2023-06-27 Last_night_sleep_time ; time:06:40, value:07h21
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(body:sleep) 1
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2023-06-27 Last_night_sleep_interruptions ; time:06:40, value:1
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(body:sleep) 1
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2023-06-27 Yesterdays_Steps ; time:06:40, value:11898
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(body:exercise) 11898 steps
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2023-06-27 Temperature ; time:08:49, value:24.8
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(events) 1
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2023-06-27 Humidity ; time:08:49, value:40%
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(events) 1
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2023-06-27 Take_Iron? ; time:09:21, value:No
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(body:supplements) 0
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2023-06-27 Take_VitaminD3? ; time:09:21, value:No
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(body:supplements) 0
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```
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```
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$ hledger -f d.csv register sleep
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2023-06-27 Wakeup (body:sleep) 1 1
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2023-06-27 Last_night_sleep_.. (body:sleep) 1 2
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2023-06-27 Last_night_sleep_.. (body:sleep) 1 3
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```
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```
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$ hledger -f d.csv tags
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time
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value
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```
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hledger's data model doesn't include time, but we can pivot on the time tag
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and take advantage of the colon to summarise activities by hour each day (eg):
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```
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$ hledger -f d.csv bal --pivot=time --depth 1 -DAE
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Balance changes in 2023-06-27:
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|| 2023-06-27 Average
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====++==============================================
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06 || 3 events, 11898 steps 3 events, 11898 steps
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08 || 2 events 2 events
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09 || 0 0
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----++----------------------------------------------
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|| 5 events, 11898 steps 5 events, 11898 steps
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```
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