Compare commits
23 Commits
6e07d120a2
...
master
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
dcafd88b86 | ||
|
|
3ef24d2bfe | ||
|
|
468701b220 | ||
|
|
22d1150801 | ||
|
|
1e352c7b06 | ||
|
|
02df9b9b5f | ||
|
|
6181fa29ea | ||
|
|
26232c60ae | ||
|
|
954e0c12af | ||
|
|
760d072982 | ||
|
|
7e72871904 | ||
|
|
ad9ead66d0 | ||
|
|
58f1aad525 | ||
|
|
96dda8ec5e | ||
|
|
bf589d94b5 | ||
|
|
d4067f5dca | ||
|
|
195c430797 | ||
|
|
f4c4407ebc | ||
|
|
d2a256bd77 | ||
|
|
bef8fec234 | ||
|
|
d26ed919b7 | ||
|
|
689c40b58d | ||
|
|
557df1bb20 |
5
.gitignore
vendored
5
.gitignore
vendored
@@ -1,5 +0,0 @@
|
||||
**/*.csv
|
||||
.ipynb_checkpoints/
|
||||
__pycache__/
|
||||
diet
|
||||
journal.json
|
||||
1051
Untitled.ipynb
1051
Untitled.ipynb
File diff suppressed because it is too large
Load Diff
171
analyze.py
171
analyze.py
@@ -1,171 +0,0 @@
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
from collections import Counter
|
||||
from functools import reduce
|
||||
import re
|
||||
import string
|
||||
|
||||
import sys
|
||||
|
||||
from common import parse_foods_file
|
||||
|
||||
foods, recipes = parse_foods_file()
|
||||
|
||||
if len(sys.argv) > 1:
|
||||
|
||||
value, name = sys.argv[1:]
|
||||
value = float(value.removesuffix('g'))
|
||||
|
||||
if name in recipes:
|
||||
food = recipes[name]
|
||||
|
||||
if value == 0.0:
|
||||
value = food['TOTAL']
|
||||
|
||||
food = {k: v*(value/food['TOTAL']) for k,v in food.items()}
|
||||
elif name in foods:
|
||||
if value == 0.0:
|
||||
value = 100
|
||||
|
||||
food = {k: v*(value/100.0) for k,v in foods[name].items()}
|
||||
else:
|
||||
breakpoint()
|
||||
print(f'ERROR: Invalid diet entry: {content}')
|
||||
|
||||
from pprint import pprint
|
||||
pprint(food)
|
||||
|
||||
exit(0)
|
||||
|
||||
|
||||
entry_re = re.compile(r'^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) ', re.MULTILINE)
|
||||
diet_re = re.compile(r'@diet (\d+g) ([a-zA-Z]+)')
|
||||
|
||||
total_entries = 0
|
||||
total_words = 0
|
||||
word_frequency = Counter()
|
||||
|
||||
total_csv = [['day', 'entries', 'words']]
|
||||
daily_csv = [['day', 'entries', 'words', 'calories', 'carbs', 'fat', 'protein',
|
||||
'sugar']]
|
||||
entry_csv = [['timestamp', 'words']]
|
||||
words_csv = [['word', 'count']]
|
||||
|
||||
diet_csv = [[
|
||||
'timestamp', 'name', 'grams', 'calories', 'carbs', 'fat', 'protein',
|
||||
'saturated_fat', 'sugar', 'fiber'
|
||||
]]
|
||||
|
||||
output = open('diet', 'w')
|
||||
|
||||
for fpath in sorted((Path.home() / 'workspace' / 'journal').glob('*.md')):
|
||||
day = fpath.stem
|
||||
header, *tmp = entry_re.split(fpath.read_text())
|
||||
entries = list(zip(tmp[::2], tmp[1::2]))
|
||||
|
||||
daily_entries = len(entries)
|
||||
daily_words = 0
|
||||
daily_calories = 0.0
|
||||
daily_protein = 0.0
|
||||
daily_carbs = 0.0
|
||||
daily_fat = 0.0
|
||||
daily_sugar = 0.0
|
||||
|
||||
output.write(f'-- {day}\n')
|
||||
|
||||
for (timestamp, content) in sorted(entries, key=lambda x: x[0]):
|
||||
ts_str = timestamp
|
||||
timestamp = int(datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S').timestamp())
|
||||
|
||||
content = '\n'.join(
|
||||
part.replace('\n', ' ')
|
||||
for part in content.split('\n\n')
|
||||
)
|
||||
|
||||
for diet in diet_re.finditer(content):
|
||||
value, name = diet.groups()
|
||||
output.write(f'{ts_str} {name} {value}\n')
|
||||
|
||||
value = float(value.removesuffix('g'))
|
||||
|
||||
|
||||
if name in recipes:
|
||||
food = recipes[name]
|
||||
|
||||
if value == 0.0:
|
||||
value = food['TOTAL']
|
||||
|
||||
food = {k: v*(value/food['TOTAL']) for k,v in food.items()}
|
||||
elif name in foods:
|
||||
if value == 0.0:
|
||||
value = 100
|
||||
|
||||
food = {k: v*(value/100.0) for k,v in foods[name].items()}
|
||||
else:
|
||||
breakpoint()
|
||||
print(f'ERROR: Invalid diet entry: {content}')
|
||||
continue
|
||||
|
||||
|
||||
|
||||
diet_csv.append((
|
||||
timestamp,
|
||||
name,
|
||||
value,
|
||||
round(food.get('Energy', 0.0), 2),
|
||||
round(food.get('Carbs', 0.0), 2),
|
||||
round(food.get('Fat', 0.0), 2),
|
||||
round(food.get('Protein', 0.0), 2),
|
||||
round(food.get('SaturatedFat', 0.0), 2),
|
||||
round(food.get('Sugar', 0.0), 2),
|
||||
round(food.get('Fiber', 0.0), 2),
|
||||
))
|
||||
|
||||
daily_calories += food.get('Energy', 0.0)
|
||||
daily_protein += food.get('Protein', 0.0)
|
||||
daily_fat += food.get('Fat', 0.0)
|
||||
daily_carbs += food.get('Carbs', 0.0)
|
||||
daily_sugar += food.get('Sugar', 0.0)
|
||||
|
||||
words = ''.join(
|
||||
c if c in string.ascii_letters+"'" else ' '
|
||||
for c in content.lower()
|
||||
).split()
|
||||
|
||||
word_frequency.update(words)
|
||||
|
||||
entry_words = len(words)
|
||||
daily_words += entry_words
|
||||
|
||||
entry_csv.append([timestamp, entry_words])
|
||||
|
||||
daily_macros = daily_protein + daily_fat + daily_carbs
|
||||
|
||||
daily_csv.append([
|
||||
day,
|
||||
daily_entries,
|
||||
daily_words,
|
||||
round(daily_calories, 2),
|
||||
round(100 * (daily_carbs / daily_macros) if daily_carbs else 0, 2),
|
||||
round(100 * (daily_fat / daily_macros) if daily_fat else 0, 2),
|
||||
round(100 * (daily_protein / daily_macros) if daily_protein else 0, 2),
|
||||
round(daily_protein, 2),
|
||||
round(daily_sugar, 2)
|
||||
])
|
||||
|
||||
total_entries += daily_entries
|
||||
total_words += daily_words
|
||||
|
||||
total_csv.append([day, total_entries, total_words])
|
||||
|
||||
words_csv += word_frequency.most_common()
|
||||
|
||||
def write_csv(fname, csv):
|
||||
with open(fname, 'w') as fp:
|
||||
fp.write('\n'.join(','.join(str(x) for x in row) for row in csv))
|
||||
|
||||
write_csv('total.csv', total_csv)
|
||||
write_csv('daily.csv', daily_csv)
|
||||
write_csv('entry.csv', entry_csv)
|
||||
write_csv('words.csv', words_csv)
|
||||
write_csv('diet.csv', diet_csv)
|
||||
@@ -1,5 +0,0 @@
|
||||
#!/bin/bash
|
||||
apack $1 *.md
|
||||
rclone copy $1 gdrive:/journal-backup/
|
||||
rclone copy $1 prodesk:/home/olari/journal-backup/
|
||||
rm $1
|
||||
82
common.py
82
common.py
@@ -1,82 +0,0 @@
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
|
||||
def parse_timestamp(timestamp):
|
||||
return datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S')
|
||||
|
||||
def parse_foods_file():
|
||||
path = Path.home() / 'projects' / 'open-journal' / 'foods'
|
||||
text = path.read_text()
|
||||
foods, recipes = text.split('---')
|
||||
|
||||
def parse_macro(macro):
|
||||
if macro == '...':
|
||||
return ('INVALID', 0.0)
|
||||
|
||||
name, value = macro.split()
|
||||
value = float(value.removesuffix('g').removesuffix('kcal'))
|
||||
return (name, value)
|
||||
|
||||
foods = {
|
||||
macros[0]: dict(parse_macro(macro) for macro in macros[1:])
|
||||
for macros in [food.split('\n') for food in foods.strip().split('\n\n')]
|
||||
}
|
||||
|
||||
def combine_values(fst, snd):
|
||||
result = fst.copy()
|
||||
for k,v in snd.items():
|
||||
if k in fst:
|
||||
result[k] += v
|
||||
else:
|
||||
result[k] = v
|
||||
return result
|
||||
|
||||
def evaluate_ingredients(ingredients):
|
||||
result = {}
|
||||
|
||||
total_weight = 0.0
|
||||
for ingredient in ingredients:
|
||||
k,v = parse_macro(ingredient)
|
||||
if k == 'TOTAL':
|
||||
result[k] = v
|
||||
break
|
||||
else:
|
||||
total_weight += v
|
||||
|
||||
|
||||
food = foods[k]
|
||||
|
||||
for kk,vv in food.items():
|
||||
if kk not in result:
|
||||
result[kk] = 0.0
|
||||
|
||||
result[kk] += vv * (v/100.0)
|
||||
|
||||
if 'TOTAL' not in result:
|
||||
result['TOTAL'] = total_weight
|
||||
|
||||
return result
|
||||
|
||||
recipes = {
|
||||
ingredients[0]: evaluate_ingredients(ingredients[1:])
|
||||
for ingredients in [
|
||||
recipe.split('\n') for recipe in recipes.strip().split('\n\n')
|
||||
]
|
||||
}
|
||||
|
||||
def get_calories_from_macros(mm):
|
||||
calories = 0.0
|
||||
for k,v in mm.items():
|
||||
calories += v * {
|
||||
'Carbs': 4,
|
||||
'Fat': 9,
|
||||
'Protein': 4
|
||||
}.get(k, 0.0)
|
||||
return calories
|
||||
|
||||
#for k,v in foods.items():
|
||||
# print(round(v.get('Energy') - get_calories_from_macros(v)), k)
|
||||
|
||||
return foods, recipes
|
||||
|
||||
|
||||
@@ -1,24 +0,0 @@
|
||||
from subprocess import run
|
||||
import sys
|
||||
|
||||
outline = run(
|
||||
['mutool', 'show', sys.argv[1], 'outline'],
|
||||
capture_output=True
|
||||
).stdout.decode('utf-8')
|
||||
|
||||
indent = 0
|
||||
last_quote_index = 0
|
||||
for line in outline.splitlines():
|
||||
quote_index = line.find('"')
|
||||
hash_index = line.find('#')
|
||||
|
||||
if quote_index > last_quote_index:
|
||||
indent += 1
|
||||
elif quote_index < last_quote_index:
|
||||
indent -= 1
|
||||
last_quote_index = quote_index
|
||||
|
||||
title = line[quote_index+1:line.find('"', quote_index+1)].strip()
|
||||
page = int(line[hash_index+1:line.find(',', hash_index+1)])
|
||||
|
||||
print(f'{"#"*indent} {title} ({page})')
|
||||
894
foods
894
foods
@@ -1,894 +0,0 @@
|
||||
|
||||
Kaurakeksi
|
||||
Energy 461kcal
|
||||
Fat 20g
|
||||
SaturatedFat 8.5g
|
||||
Carbs 56g
|
||||
Sugar 31g
|
||||
Fiber 4.8g
|
||||
Protein 7.9g
|
||||
Salt 0.2g
|
||||
|
||||
Cereal
|
||||
Energy 373kcal
|
||||
Fat 1.4g
|
||||
SaturatedFat 0.4g
|
||||
Carbs 78g
|
||||
Sugar 13.9g
|
||||
Fiber 7.1g
|
||||
Protein 8.5g
|
||||
Salt 0.39g
|
||||
|
||||
SadonkorjuuPuuro
|
||||
Energy 385kcal
|
||||
Fat 11g
|
||||
SaturatedFat 1.7g
|
||||
Carbs 51g
|
||||
Sugar 1.1g
|
||||
Fiber 11g
|
||||
Protein 14g
|
||||
|
||||
DaimCake
|
||||
Energy 446kcal
|
||||
Fat 28g
|
||||
SaturatedFat 9.3g
|
||||
Carbs 39g
|
||||
Sugar 37g
|
||||
Protein 9.1g
|
||||
Salt 0.35g
|
||||
|
||||
KaneliKierre
|
||||
Energy 350kcal
|
||||
Fat 14g
|
||||
SaturatedFat 5.6g
|
||||
Carbs 55g
|
||||
Sugar 20g
|
||||
Fiber 2g
|
||||
Protein 6g
|
||||
Salt 0.7g
|
||||
|
||||
Munkki
|
||||
Energy 395kcal
|
||||
Fat 23g
|
||||
SaturatedFat 10g
|
||||
Carbs 39g
|
||||
Sugar 9.6g
|
||||
Fiber 2.7g
|
||||
Protein 5.8g
|
||||
Salt 0.5g
|
||||
|
||||
ProteinRakha
|
||||
Energy 67kcal
|
||||
Fat 0.2g
|
||||
SaturatedFat 0.1g
|
||||
Carbs 6g
|
||||
Sugar 5.9g
|
||||
Protein 10g
|
||||
Salt 0.06g
|
||||
|
||||
Water
|
||||
Energy 0kcal
|
||||
|
||||
KaneliKorppu
|
||||
Energy 359kcal
|
||||
Fat 6.6g
|
||||
SaturatedFat 0.5g
|
||||
Carbs 65g
|
||||
Sugar 23g
|
||||
Fiber 4g
|
||||
Protein 8g
|
||||
Salt 0.5g
|
||||
|
||||
Broccoli
|
||||
Energy 34kcal
|
||||
Fat 0.4g
|
||||
Carbs 7g
|
||||
Fiber 2.6g
|
||||
Sugar 1.7g
|
||||
Protein 2.8g
|
||||
|
||||
Apple
|
||||
Energy 52kcal
|
||||
Fat 0.2g
|
||||
Carbs 14g
|
||||
Fiber 2.4g
|
||||
Sugar 10g
|
||||
Protein 0.3g
|
||||
|
||||
BeanitHarkis
|
||||
Energy 206kcal
|
||||
Fat 10g
|
||||
SaturatedFat 1g
|
||||
Carbs 9g
|
||||
Sugar 0.9g
|
||||
Fiber 6.1g
|
||||
Protein 16g
|
||||
Salt 1.3g
|
||||
|
||||
HarkisRouheseos
|
||||
Energy 335kcal
|
||||
Fat 3.1g
|
||||
SaturatedFat 0.3g
|
||||
Carbs 26g
|
||||
Sugar 3.7g
|
||||
Fiber 12g
|
||||
Protein 47g
|
||||
Salt 1.0g
|
||||
|
||||
HazelnutIcecream
|
||||
Energy 288kcal
|
||||
Fat 18g
|
||||
SaturatedFat 5.6g
|
||||
Carbs 27g
|
||||
Sugar 24g
|
||||
Fiber 1.1g
|
||||
Protein 4.0g
|
||||
Salt 0.17g
|
||||
|
||||
CheesePizza
|
||||
Energy 210kcal
|
||||
Fat 5.3g
|
||||
SaturatedFat 2.4g
|
||||
Carbs 30.6g
|
||||
Sugar 3.9g
|
||||
Protein 8.9g
|
||||
Salt 0.9g
|
||||
|
||||
ChiliBeans
|
||||
Energy 85kcal
|
||||
Carbs 12g
|
||||
Sugar 2.5g
|
||||
Fiber 5.8g
|
||||
Protein 6.0g
|
||||
Salt 0.65g
|
||||
|
||||
ProteinPowder
|
||||
Energy 369kcal
|
||||
Fat 5.4g
|
||||
SaturatedFat 3.4g
|
||||
Carbs 7.2g
|
||||
Sugar 6.8g
|
||||
Protein 72.0g
|
||||
Salt 0.3g
|
||||
|
||||
KasviGrillimakkara
|
||||
Energy 234kcal
|
||||
Fat 15.2g
|
||||
SaturatedFat 5.9g
|
||||
Carbs 12.1g
|
||||
Fiber 4.5g
|
||||
Protein 10.0g
|
||||
Salt 1.55g
|
||||
|
||||
Remoulade
|
||||
Energy 486kcal
|
||||
Fat 50.3g
|
||||
SaturatedFat 4.0g
|
||||
Carbs 7.0g
|
||||
Sugar 5.2g
|
||||
Protein 0.8g
|
||||
Salt 1.04
|
||||
|
||||
ItaliamoGlassate
|
||||
Energy 537kcal
|
||||
Fat 32g
|
||||
SaturatedFat 19g
|
||||
Carbs 54g
|
||||
Sugar 25g
|
||||
Protein 7.3g
|
||||
Salt 1g
|
||||
|
||||
LeipaJuusto
|
||||
Energy 276kcal
|
||||
Fat 22g
|
||||
SaturatedFat 14g
|
||||
Carbs 3.5g
|
||||
Sugar 2.8g
|
||||
Protein 16g
|
||||
|
||||
Pomegranate
|
||||
Energy 83kcal
|
||||
Carbs 19g
|
||||
Fiber 4g
|
||||
Sugar 14g
|
||||
Protein 1.7g
|
||||
|
||||
RainbowNoodles
|
||||
Energy 451kcal
|
||||
Fat 18g
|
||||
SaturatedFat 8.6g
|
||||
Carbs 63g
|
||||
Sugar 1.7g
|
||||
Protein 11g
|
||||
Salt 4.6g
|
||||
|
||||
Banana
|
||||
Energy 89kcal
|
||||
Carbs 22.84g
|
||||
Sugar 12.23g
|
||||
Fiber 2.6g
|
||||
Fat 0.33g
|
||||
Protein 1.09g
|
||||
|
||||
Oil
|
||||
Energy 828kcal
|
||||
Fat 92g
|
||||
SaturatedFat 7g
|
||||
MonosaturatedFat 57g
|
||||
PolysaturatedFat 28g
|
||||
|
||||
Egg
|
||||
Energy 155kcal
|
||||
Carbs 1.12g
|
||||
Fat 10.6g
|
||||
Protein 12.6g
|
||||
|
||||
Milk
|
||||
Energy 64kcal
|
||||
Fat 3.5g
|
||||
SaturatedFat 2.3g
|
||||
Protein 3.2g
|
||||
Salt 0.1g
|
||||
|
||||
SkimMilk
|
||||
Energy 46kcal
|
||||
Fat 1.5g
|
||||
SaturatedFat 1.0g
|
||||
Protein 3.4g
|
||||
Salt 0.1g
|
||||
|
||||
BellPepper
|
||||
Energy 31kcal
|
||||
Protein 1g
|
||||
Carbs 6g
|
||||
Sugar 4.2g
|
||||
Fiber 2.1g
|
||||
Fat 0.3g
|
||||
|
||||
Flour
|
||||
Energy 349kcal
|
||||
Fat 1.4g
|
||||
SaturatedFat 0.3g
|
||||
Carbs 71.5g
|
||||
Sugar 1.7g
|
||||
Fiber 2.4g
|
||||
Protein 11.4g
|
||||
Salt 0.01g
|
||||
|
||||
GrahamFlour
|
||||
Energy 330kcal
|
||||
Fat 3.0g
|
||||
SaturatedFat 0.5g
|
||||
Carbs 56g
|
||||
Sugar 0.8g
|
||||
Fiber 13g
|
||||
Protein 14g
|
||||
|
||||
Salt
|
||||
Energy 0kcal
|
||||
Salt 100g
|
||||
|
||||
Cheese
|
||||
Energy 329kcal
|
||||
Fat 24g
|
||||
SaturatedFat 14g
|
||||
Protein 27g
|
||||
Salt 1.5g
|
||||
|
||||
Potato
|
||||
Energy 68kcal
|
||||
Fat 0.2g
|
||||
Carbs 13.3g
|
||||
Protein 1.6g
|
||||
Fiber 0.8g
|
||||
|
||||
SweetPotato
|
||||
Energy 86kcal
|
||||
Carbs 20g
|
||||
Fiber 3g
|
||||
Sugar 4.2g
|
||||
Protein 1.6g
|
||||
|
||||
Salad
|
||||
Energy 10kcal
|
||||
Fat 0.2g
|
||||
SaturatedFat 0g
|
||||
Carbs 1g
|
||||
Sugar 0.5g
|
||||
Protein 1.1g
|
||||
|
||||
SaladDressing
|
||||
Energy 259kcal
|
||||
Fat 22.3g
|
||||
SaturatedFat 1.5g
|
||||
Carbs 14g
|
||||
Sugar 10.8g
|
||||
Protein 0.4g
|
||||
Salt 0.99g
|
||||
|
||||
PeasCornPepper
|
||||
Energy 85kcal
|
||||
Fat 0.7g
|
||||
SaturatedFat 0.2g
|
||||
Carbs 12g
|
||||
Sugar 2.4g
|
||||
Fiber 5.5g
|
||||
Protein 4.9g
|
||||
Salt 0.07g
|
||||
|
||||
Muesli
|
||||
Energy 391kcal
|
||||
Fat 10.9g
|
||||
SaturatedFat 3.9g
|
||||
Carbs 61.9g
|
||||
Sugar 26.7g
|
||||
Fiber 6g
|
||||
Protein 8.4g
|
||||
Salt 0.08g
|
||||
|
||||
Margarine
|
||||
Energy 630kcal
|
||||
Fat 70g
|
||||
SaturatedFat 20g
|
||||
UnsaturatedFat 35g
|
||||
|
||||
PickleSlices
|
||||
Energy 54kcal
|
||||
Sugar 12.1g
|
||||
Salt 1g
|
||||
|
||||
Ketchup
|
||||
Energy 102kcal
|
||||
Carbs 23.2g
|
||||
Sugar 22.8g
|
||||
Protein 1.2g
|
||||
Salt 1.8g
|
||||
|
||||
WholeGrainBread
|
||||
Energy 255kcal
|
||||
Fat 5g
|
||||
SaturatedFat 0.5g
|
||||
Carbs 41g
|
||||
Sugar 4g
|
||||
Fiber 7g
|
||||
Protein 8g
|
||||
Salt 1g
|
||||
|
||||
WhiteBread
|
||||
Energy 253kcal
|
||||
Fat 2.5g
|
||||
SaturatedFat 0.3g
|
||||
Carbs 45g
|
||||
Sugar 1.1g
|
||||
Fiber 6.1g
|
||||
Protein 9.4g
|
||||
Salt 1.1g
|
||||
|
||||
DarkBread
|
||||
Energy 242kcal
|
||||
Fat 1.3g
|
||||
SaturatedFat 0.2g
|
||||
Carbs 43.6g
|
||||
Sugar 1.4g
|
||||
Fiber 11.7g
|
||||
Protein 8.2g
|
||||
Salt 1.1g
|
||||
|
||||
KauraTyynyt
|
||||
Energy 254kcal
|
||||
Fat 4.1g
|
||||
SaturatedFat 0.5g
|
||||
Carbs 39g
|
||||
Sugar 0.8g
|
||||
Fiber 6.6g
|
||||
Protein 12g
|
||||
Salt 1.1g
|
||||
|
||||
BiscuitRings
|
||||
Energy 541kcal
|
||||
Fat 30.1g
|
||||
SaturatedFat 14.8g
|
||||
Carbs 61.8g
|
||||
Sugar 23.1g
|
||||
Protein 4.6g
|
||||
Salt 0.48g
|
||||
|
||||
SobaChili
|
||||
Energy 218kcal
|
||||
Fat 9.3g
|
||||
SaturatedFat 4.4g
|
||||
Carbs 27.4g
|
||||
Sugar 6g
|
||||
Protein 4.9g
|
||||
Salt 2.3g
|
||||
|
||||
CocaCola
|
||||
Energy 42kcal
|
||||
Carbs 10.6g
|
||||
Sugar 10.6g
|
||||
|
||||
Pasta
|
||||
Energy 348kcal
|
||||
Fat 1.7g
|
||||
SaturatedFat 0.4g
|
||||
Carbs 67g
|
||||
Sugar 2.5g
|
||||
Fiber 4g
|
||||
Protein 13g
|
||||
|
||||
TricolorePasta
|
||||
Energy 351kcal
|
||||
Fat 1.4g
|
||||
SaturatedFat 0.3g
|
||||
Carbs 72g
|
||||
Sugar 3.9g
|
||||
Protein 11g
|
||||
|
||||
SaskiaPeach
|
||||
Energy 16kcal
|
||||
Sugar 4g
|
||||
|
||||
GelatelliVeganIceCream
|
||||
Energy 342kcal
|
||||
Fat 21.3g
|
||||
SaturatedFat 16g
|
||||
Carbs 34.3g
|
||||
Sugar 24.2g
|
||||
Protein 2.3g
|
||||
|
||||
BrownRice
|
||||
Energy 371kcal
|
||||
Fat 2g
|
||||
SaturatedFat 0.5g
|
||||
Carbs 77g
|
||||
Fiber 8.7g
|
||||
Protein 7.1g
|
||||
|
||||
SojaRouha
|
||||
Energy 77kcal
|
||||
Carbs 6.2g
|
||||
Sugar 3.15g
|
||||
Protein 12.21g
|
||||
Salt 1.34g
|
||||
|
||||
MonsterEnergy
|
||||
Energy 47kcal
|
||||
Sugar 11g
|
||||
|
||||
MousseCherry
|
||||
Energy 535kcal
|
||||
Fat 36.4g
|
||||
SaturatedFat 21.2g
|
||||
Carbs 41.4g
|
||||
Sugar 31.4g
|
||||
Protein 6.5g
|
||||
|
||||
FoodCream
|
||||
Energy 161kcal
|
||||
Fat 15g
|
||||
SaturatedFat 10g
|
||||
Carbs 4.7g
|
||||
Sugar 3.7g
|
||||
|
||||
Honey
|
||||
Energy 64kcal
|
||||
Carbs 17g
|
||||
Sugar 17g
|
||||
|
||||
Coffee
|
||||
Energy 0kcal
|
||||
|
||||
Oatmeal
|
||||
Energy 362kcal
|
||||
Fat 7.5g
|
||||
SaturatedFat 1.3g
|
||||
Carbs 54g
|
||||
Sugar 1.1g
|
||||
Fiber 11g
|
||||
Protein 14g
|
||||
|
||||
VahvlitortTallinn
|
||||
Energy 505kcal
|
||||
Fat 51g
|
||||
Carbs 40g
|
||||
Sugar 25g
|
||||
Protein 6g
|
||||
|
||||
TaffelJuustoSnaks
|
||||
Energy 550kcal
|
||||
Fat 33g
|
||||
SaturatedFat 6.2g
|
||||
Carbs 51g
|
||||
Sugar 3.6g
|
||||
Protein 10g
|
||||
Salt 1.8g
|
||||
|
||||
FakeChicken
|
||||
Energy 142kcal
|
||||
Fat 5g
|
||||
SaturatedFat 0.5g
|
||||
Carbs 11.3g
|
||||
Sugar 1.57g
|
||||
Protein 13.14g
|
||||
Salt 0.39g
|
||||
|
||||
SourCream
|
||||
Energy 139kcal
|
||||
Fat 12g
|
||||
SaturatedFat 6.7g
|
||||
Carbs 4g
|
||||
Sugar 4g
|
||||
Protein 2.8g
|
||||
Salt 0.1g
|
||||
|
||||
WhiteBeansTomatoSauce
|
||||
Energy 105kcal
|
||||
Protein 4g
|
||||
Carbs 18g
|
||||
Sugar 2g
|
||||
|
||||
CherryTomatoes
|
||||
Energy 18kcal
|
||||
Carbs 3.92g
|
||||
Sugar 2.62g
|
||||
Fiber 1.2g
|
||||
Protein 0.88g
|
||||
Fat 0.2g
|
||||
|
||||
BerryMustikaVaarika
|
||||
Energy 85kcal
|
||||
Carbs 13g
|
||||
Sugar 7.2g
|
||||
Fiber 4.7g
|
||||
Protein 0.95g
|
||||
|
||||
VanilliIceCream
|
||||
Energy 160kcal
|
||||
Fat 6.3g
|
||||
SaturatedFat 4.1g
|
||||
Carbs 22.5g
|
||||
Sugar 19.9g
|
||||
Protein 3.2g
|
||||
Salt 0.12g
|
||||
|
||||
Strawberry
|
||||
Energy 33kcal
|
||||
Carbs 8g
|
||||
Fiber 2g
|
||||
Sugar 4.9g
|
||||
Protein 0.7g
|
||||
Fat 0.3g
|
||||
|
||||
Cocoa
|
||||
Energy 373kcal
|
||||
Fat 2.9g
|
||||
SaturatedFat 1.5g
|
||||
Carbs 78.6g
|
||||
Sugar 76.6g
|
||||
Protein 4.8g
|
||||
Salt 0.31g
|
||||
|
||||
Sugar
|
||||
Energy 400kcal
|
||||
Carbs 100g
|
||||
Sugar 100g
|
||||
|
||||
KeishaCandy
|
||||
Energy 553kcal
|
||||
Fat 35g
|
||||
SaturatedFat 18g
|
||||
Carbs 47g
|
||||
Sugar 45g
|
||||
Protein 8.1g
|
||||
Salt 0.13g
|
||||
|
||||
ProteinSpaghetti
|
||||
Energy 350kcal
|
||||
Fat 2.5g
|
||||
SaturatedFat 0.6g
|
||||
Carbs 66g
|
||||
Sugar 3.7g
|
||||
Fiber 7.5g
|
||||
Protein 12g
|
||||
|
||||
PastaSauce
|
||||
Energy 61kcal
|
||||
Fat 1.9g
|
||||
SaturatedFat 0.2g
|
||||
Carbs 9.2g
|
||||
Sugar 5.7g
|
||||
Protein 1.3g
|
||||
Salt 1.27g
|
||||
|
||||
Orange
|
||||
Energy 50kcal
|
||||
Carbs 13g
|
||||
Fiber 2.2g
|
||||
Sugar 8.5g
|
||||
|
||||
WokMix
|
||||
Energy 36kcal
|
||||
Carbs 5.5g
|
||||
Sugar 3.9g
|
||||
Fiber 2.7g
|
||||
Protein 1.7g
|
||||
Salt 0.04g
|
||||
|
||||
ProteinRahka
|
||||
Energy 67kcal
|
||||
Fat 0.2g
|
||||
SaturatedFat 0.1g
|
||||
Carbs 6.0g
|
||||
Sugar 5.9g
|
||||
Protein 10g
|
||||
Salt 0.06g
|
||||
|
||||
Watermelon
|
||||
Energy 30kcal
|
||||
Carbs 8g
|
||||
Sugar 6g
|
||||
Fiber 0.4g
|
||||
Protein 0.6g
|
||||
|
||||
Pringles
|
||||
Energy 536kcal
|
||||
Fat 32g
|
||||
SaturatedFat 3g
|
||||
Carbs 56g
|
||||
Sugar 2.4g
|
||||
Fiber 2.9g
|
||||
Protein 4.6g
|
||||
Salt 1.4g
|
||||
|
||||
GelatiPremium
|
||||
Energy 339kcal
|
||||
Fat 21.3g
|
||||
SaturatedFat 13.1g
|
||||
Carbs 30.7g
|
||||
Sugar 28.5g
|
||||
Protein 5.4g
|
||||
Salt 0.08g
|
||||
|
||||
Hummus
|
||||
Energy 278kcal
|
||||
Fat 23.8g
|
||||
SaturatedFat 2.7g
|
||||
Carbs 7.7g
|
||||
Sugar 0.2g
|
||||
Protein 6.8g
|
||||
Salt 0.92g
|
||||
|
||||
PureOrangeJuice
|
||||
Energy 45kcal
|
||||
Fat 0.2g
|
||||
Carbs 9.4g
|
||||
Sugar 9.4g
|
||||
Protein 0.08g
|
||||
|
||||
Cucumber
|
||||
Energy 15kcal
|
||||
Carbs 3.6g
|
||||
Sugar 1.7g
|
||||
Fiber 0.5g
|
||||
Protein 0.7g
|
||||
|
||||
Falafel
|
||||
Energy 219kcal
|
||||
Fat 8.5g
|
||||
SaturatedFat 0.7g
|
||||
Carbs 19.9g
|
||||
Sugar 4.1g
|
||||
Fiber 9.9g
|
||||
Protein 10.7g
|
||||
Salt 1.4g
|
||||
|
||||
SunflowerSeeds
|
||||
Energy 616kcal
|
||||
Fat 53.9g
|
||||
SaturatedFat 4.5g
|
||||
Carbs 5.1g
|
||||
Sugar 3.4g
|
||||
Protein 21.4g
|
||||
Salt 0.05
|
||||
|
||||
HalloumiCheese
|
||||
Energy 319kcal
|
||||
Fat 25g
|
||||
SaturatedFat 16g
|
||||
Carbs 1.5g
|
||||
Protein 22.0g
|
||||
Salt 2.7g
|
||||
|
||||
Salmon
|
||||
Energy 208kcal
|
||||
Fat 13g
|
||||
SaturatedFat 3.0g
|
||||
Protein 20g
|
||||
|
||||
---
|
||||
|
||||
Omlette
|
||||
BellPepper 50g
|
||||
Cheese 25g
|
||||
Egg 180g
|
||||
Flour 25g
|
||||
Milk 80g
|
||||
Oil 20g
|
||||
Salt 2g
|
||||
|
||||
RoastedVeggies
|
||||
Oil 80g
|
||||
Potato 1000g
|
||||
SweetPotato 450g
|
||||
|
||||
OmletteWithoutMilk
|
||||
Cheese 25g
|
||||
Egg 180g
|
||||
Flour 25g
|
||||
Milk 80g
|
||||
Oil 20g
|
||||
|
||||
FriedPotatoes
|
||||
Potato 1560g
|
||||
Oil 60g
|
||||
|
||||
BoiledWokMix
|
||||
WokMix 400g
|
||||
Oil 25g
|
||||
|
||||
FakeChickenVeggies
|
||||
FakeChicken 250g
|
||||
Oil 40g
|
||||
PeasCornPepper 225g
|
||||
|
||||
OilVeggies
|
||||
Oil 30g
|
||||
PeasCornPepper 220g
|
||||
|
||||
MashedPotato
|
||||
Margarine 40g
|
||||
Milk 180g
|
||||
Potato 1000g
|
||||
TOTAL 1300g
|
||||
|
||||
MashedPotato3
|
||||
Potato 1050g
|
||||
Milk 350g
|
||||
|
||||
Blov
|
||||
BrownRice 600g
|
||||
Ketchup 250g
|
||||
Oil 50g
|
||||
SojaRouha 300g
|
||||
PeasCornPepper 225g
|
||||
TOTAL 2460g
|
||||
|
||||
MilkSoup
|
||||
Margarine 30g
|
||||
Milk 500g
|
||||
Oil 25g
|
||||
Pasta 350g
|
||||
Sugar 10g
|
||||
TOTAL 1315g
|
||||
|
||||
MilkSoup2
|
||||
Margarine 30g
|
||||
Milk 480g
|
||||
Oil 20g
|
||||
Sugar 15g
|
||||
Pasta 350g
|
||||
TOTAL 1940g
|
||||
|
||||
Pancake
|
||||
Egg 120g
|
||||
Milk 600g
|
||||
Oil 50g
|
||||
Sugar 12g
|
||||
Flour 300g
|
||||
|
||||
CreamPotatoes
|
||||
Cheese 170g
|
||||
FoodCream 450g
|
||||
Oil 50g
|
||||
Potato 1500g
|
||||
|
||||
CreamPotatoes2
|
||||
Cheese 200g
|
||||
FoodCream 450g
|
||||
Potato 1020g
|
||||
|
||||
ProteinSpaghettiBolognese
|
||||
ProteinSpaghetti 500g
|
||||
PastaSauce 500g
|
||||
TOTAL 1640g
|
||||
|
||||
OatmealPorridge
|
||||
Oatmeal 150g
|
||||
Margarine 14g
|
||||
Honey 25g
|
||||
TOTAL 700g
|
||||
|
||||
BakedPotatoes
|
||||
Potato 1440g
|
||||
Oil 40g
|
||||
|
||||
SeedAndOilSalad
|
||||
Salad 120g
|
||||
Cucumber 120g
|
||||
CherryTomatoes 120g
|
||||
Oil 15g
|
||||
SunflowerSeeds 20g
|
||||
|
||||
FriedFalafel
|
||||
Falafel 400g
|
||||
Oil 30g
|
||||
|
||||
PastaSalad
|
||||
TricolorePasta 500g
|
||||
Salad 300g
|
||||
Oil 20g
|
||||
SaladDressing 65g
|
||||
TOTAL 1675g
|
||||
|
||||
PastaSalad2
|
||||
TricolorePasta 500g
|
||||
Salad 270g
|
||||
Oil 30g
|
||||
SaladDressing 100g
|
||||
TOTAL 1675g
|
||||
|
||||
ProteinShake
|
||||
SkimMilk 400g
|
||||
ProteinPowder 60g
|
||||
|
||||
MashedPotato2
|
||||
Margarine 20g
|
||||
Potato 760g
|
||||
Milk 300g
|
||||
|
||||
VegeKotlet
|
||||
Oil 45g
|
||||
HarkisRouheseos 180g
|
||||
Milk 240g
|
||||
Egg 65g
|
||||
GrahamFlour 60g
|
||||
|
||||
VegeKotlet2
|
||||
HarkisRouheseos 200g
|
||||
Milk 450g
|
||||
WholeGrainBread 50g
|
||||
Flour 90g
|
||||
|
||||
RoastedVeggies2
|
||||
Broccoli 300g
|
||||
Oil 70g
|
||||
Potato 1000g
|
||||
SweetPotato 300g
|
||||
|
||||
BeanitHarkisVeggies
|
||||
Oil 60g
|
||||
BeanitHarkis 250g
|
||||
PeasCornPepper 200g
|
||||
Ketchup 100g
|
||||
TOTAL 760g
|
||||
|
||||
BeanitHarkisVeggies2
|
||||
Oil 40g
|
||||
BeanitHarkis 250g
|
||||
PeasCornPepper 220g
|
||||
Ketchup 100g
|
||||
TOTAL 740g
|
||||
|
||||
Pancake
|
||||
SkimMilk 430g
|
||||
Water 300g
|
||||
Oil 30g
|
||||
Flour 430g
|
||||
Sugar 20g
|
||||
|
||||
SadonkorjuuPuuroBoiled
|
||||
SadonkorjuuPuuro 160g
|
||||
SkimMilk 100g
|
||||
Margarine 20g
|
||||
TOTAL 788
|
||||
|
||||
1065
journal.py
Normal file
1065
journal.py
Normal file
File diff suppressed because it is too large
Load Diff
34
migrations/2021-06-27_post.py
Normal file
34
migrations/2021-06-27_post.py
Normal file
@@ -0,0 +1,34 @@
|
||||
from copy import deepcopy
|
||||
from pathlib import Path
|
||||
from shutil import copy
|
||||
import json
|
||||
|
||||
journal_path = Path.home() / '.journal.json'
|
||||
|
||||
copy(str(journal_path), str(journal_path.with_suffix('.bkp')))
|
||||
|
||||
journal = json.loads(journal_path.read_text())
|
||||
new_journal = deepcopy(journal)
|
||||
|
||||
for day in journal['days']:
|
||||
new_entries = []
|
||||
for entry in journal['days'][day]['entries']:
|
||||
new_blocks = []
|
||||
for block in entry['blocks']:
|
||||
if not isinstance(block, str) and block['type'] == 'post':
|
||||
new_blocks.append({
|
||||
'type': 'post',
|
||||
'timestamp': block.get('timestamp', entry['timestamp'] + 30)
|
||||
})
|
||||
|
||||
if content := block.get('content'):
|
||||
new_blocks.append(content)
|
||||
else:
|
||||
new_blocks.append(block)
|
||||
|
||||
entry['blocks'] = new_blocks
|
||||
new_entries.append(entry)
|
||||
|
||||
new_journal['days'][day]['entries'] = new_entries
|
||||
|
||||
journal_path.write_text(json.dumps(new_journal))
|
||||
34
migrations/2021-06-29_tag.py
Normal file
34
migrations/2021-06-29_tag.py
Normal file
@@ -0,0 +1,34 @@
|
||||
from copy import deepcopy
|
||||
from pathlib import Path
|
||||
from shutil import copy
|
||||
import json
|
||||
|
||||
journal_path = Path.home() / '.journal.json'
|
||||
|
||||
copy(str(journal_path), str(journal_path.with_suffix('.bkp')))
|
||||
|
||||
journal = json.loads(journal_path.read_text())
|
||||
new_journal = deepcopy(journal)
|
||||
|
||||
for day in journal['days']:
|
||||
new_entries = []
|
||||
for entry in journal['days'][day]['entries']:
|
||||
new_blocks = []
|
||||
for block in entry['blocks']:
|
||||
if not isinstance(block, str) and block['type'] == 'hide':
|
||||
if len(new_blocks) and not isinstance(new_blocks[-1], str) and \
|
||||
new_blocks[-1]['type'] != 'tag':
|
||||
new_blocks.append({'type': 'tag', 'value': ['hide']})
|
||||
elif not isinstance(block, str) and block['type'] == 'info':
|
||||
new_blocks.append({'type': 'tag', 'value': ['info']})
|
||||
new_blocks.append('\n')
|
||||
new_blocks.append(block['value'])
|
||||
else:
|
||||
new_blocks.append(block)
|
||||
|
||||
entry['blocks'] = new_blocks
|
||||
new_entries.append(entry)
|
||||
|
||||
new_journal['days'][day]['entries'] = new_entries
|
||||
|
||||
journal_path.write_text(json.dumps(new_journal))
|
||||
16
migrations/2021-07-06_fix.py
Normal file
16
migrations/2021-07-06_fix.py
Normal file
@@ -0,0 +1,16 @@
|
||||
from copy import deepcopy
|
||||
from pathlib import Path
|
||||
from shutil import copy
|
||||
import json
|
||||
|
||||
journal_path = Path.home() / '.journal.json'
|
||||
|
||||
copy(str(journal_path), str(journal_path.with_suffix('.bkp')))
|
||||
|
||||
journal = json.loads(journal_path.read_text())
|
||||
new_journal = deepcopy(journal)
|
||||
|
||||
for day in journal['days']:
|
||||
new_journal['days'][day]['entries'] = journal['days'][day]['entries'][0]
|
||||
|
||||
journal_path.write_text(json.dumps(new_journal))
|
||||
@@ -1,42 +0,0 @@
|
||||
from subprocess import run, Popen, DEVNULL
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
import random
|
||||
import sys
|
||||
|
||||
current_date = datetime.now().strftime('%Y-%m-%d')
|
||||
current_time = datetime.now().strftime('%H:%M:%S')
|
||||
|
||||
journal_path = Path.home() / 'workspace' / 'journal'
|
||||
|
||||
target_page = journal_path / f'{current_date}.md'
|
||||
|
||||
script_path = Path(__file__).parent
|
||||
|
||||
habits = '\n'.join([f'[-] {x}'
|
||||
for x in (script_path / 'habits').read_text().strip().split('\n')])
|
||||
|
||||
words = (script_path / 'godword').read_text().strip().split('\n')
|
||||
godword = '\n'.join(' '.join(random.choice(words)
|
||||
for a in range(10)) for _ in range(2))
|
||||
|
||||
if not target_page.exists():
|
||||
Popen(
|
||||
['bash', str(script_path / 'backup-script.sh'), current_date+'.zip'],
|
||||
cwd=str(journal_path), stdout=DEVNULL, stderr=DEVNULL
|
||||
)
|
||||
|
||||
target_page.write_text(f'''\
|
||||
# {target_page.stem}
|
||||
|
||||
Godword:
|
||||
{godword}
|
||||
|
||||
Habits:
|
||||
{habits}
|
||||
''')
|
||||
|
||||
with open(target_page, 'a') as fp:
|
||||
fp.write(f'\n{current_date} {current_time} ')
|
||||
|
||||
run(['nvim', str(target_page), '+'])
|
||||
162
parse.py
162
parse.py
@@ -1,162 +0,0 @@
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
import re
|
||||
import json
|
||||
from functools import reduce
|
||||
|
||||
entry_re = re.compile(r'^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})', re.MULTILINE)
|
||||
|
||||
curr_day = ''
|
||||
|
||||
|
||||
def parse_godword(godword):
|
||||
return godword.split()
|
||||
|
||||
def parse_habits(habits):
|
||||
result = {}
|
||||
for habit in habits.splitlines():
|
||||
value, name = habit.split(maxsplit=1)
|
||||
name = name.strip()
|
||||
result[name] = value[1] == 'x'
|
||||
return result
|
||||
|
||||
header_modules = {
|
||||
'godword': parse_godword,
|
||||
'habits': parse_habits,
|
||||
}
|
||||
|
||||
def parse_header(header):
|
||||
result = {}
|
||||
|
||||
def split_into_blocks(text):
|
||||
return [b.strip() for b in re.split(r'\n{2,}', text) if b.strip() != '']
|
||||
|
||||
title, *modules = split_into_blocks(header)
|
||||
|
||||
for module in modules:
|
||||
name, value = module.split('\n', maxsplit=1)
|
||||
name = name.lower().removesuffix(':')
|
||||
result[name] = header_modules[name](value)
|
||||
|
||||
return result
|
||||
|
||||
def parse_timestamp(timestamp):
|
||||
return datetime.strptime(timestamp, '%Y-%m-%d %H:%M:%S')
|
||||
|
||||
def parse_post(block):
|
||||
block = block.removeprefix('@post ')
|
||||
try:
|
||||
timestamp = int(parse_timestamp(block[:19]).timestamp())
|
||||
block = block[19:]
|
||||
except:
|
||||
timestamp = None
|
||||
content = block
|
||||
return {'timestamp': timestamp, 'content': content}
|
||||
|
||||
def parse_notes(block):
|
||||
tag, source, title = block.splitlines()
|
||||
return {'source': source, 'title': title}
|
||||
|
||||
def parse_diet(block):
|
||||
tag, amount, food = block.split()
|
||||
amount = float(amount.removesuffix('g'))
|
||||
return {'amount': amount, 'food': food}
|
||||
|
||||
def parse_timer(block):
|
||||
tag, *rest = block.split()
|
||||
|
||||
name = None
|
||||
timestamp = None
|
||||
if len(rest) > 2:
|
||||
name, *rest = rest
|
||||
if len(rest) > 1:
|
||||
timestamp = int(parse_timestamp(' '.join(rest)).timestamp())
|
||||
|
||||
result = {}
|
||||
if name:
|
||||
result['name'] = name
|
||||
if timestamp:
|
||||
result['timestamp'] = timestamp
|
||||
return result
|
||||
|
||||
def parse_exercise(block):
|
||||
tag, *parts = block.split()
|
||||
|
||||
if parts[0] == 'walk':
|
||||
kind, minutes, distance, steps = parts
|
||||
return {
|
||||
'kind': kind,
|
||||
'minutes': int(minutes.removesuffix('min')),
|
||||
'distance': float(distance.removesuffix('km')),
|
||||
'steps': int(steps.removesuffix('steps')),
|
||||
}
|
||||
|
||||
return {'kind': 'INVALID'}
|
||||
|
||||
def create_entry_module_parser(name, handler=None):
|
||||
handler = handler or (lambda b: {'value': b.removeprefix(f'@{name} ')})
|
||||
return lambda b: {'type': name} | handler(b)
|
||||
|
||||
entry_modules = {
|
||||
'hide': create_entry_module_parser('hide', lambda _: {}),
|
||||
'post': create_entry_module_parser('post', parse_post),
|
||||
'info': create_entry_module_parser('info'),
|
||||
'notes': create_entry_module_parser('notes', parse_notes),
|
||||
'behavior': create_entry_module_parser('behavior'),
|
||||
'diet': create_entry_module_parser('diet', parse_diet),
|
||||
'task': create_entry_module_parser('task'),
|
||||
'start': create_entry_module_parser('start', parse_timer),
|
||||
'stop': create_entry_module_parser('stop', parse_timer),
|
||||
'done': create_entry_module_parser('done', parse_timer),
|
||||
'exercise': create_entry_module_parser('exercise', parse_exercise),
|
||||
}
|
||||
|
||||
def parse_entry(entry):
|
||||
result = {}
|
||||
|
||||
def split_into_blocks(text):
|
||||
result = []
|
||||
|
||||
for block in re.split(r'\n{2,}', text):
|
||||
block = block.strip()
|
||||
if not block:
|
||||
continue
|
||||
|
||||
for i, module in enumerate(block.replace(' @', '\n@').split('\n@')):
|
||||
#module = module.strip().replace('\n', ' ')
|
||||
if i == 0:
|
||||
result.append(module)
|
||||
else:
|
||||
result.append('@'+module)
|
||||
|
||||
return result
|
||||
|
||||
timestamp, content = entry
|
||||
|
||||
result['timestamp'] = int(parse_timestamp(timestamp.strip()).timestamp())
|
||||
result['blocks'] = []
|
||||
|
||||
for b in split_into_blocks(content):
|
||||
if b[0] == '@':
|
||||
tag = b.split()[0][1:]
|
||||
result['blocks'].append(entry_modules[tag](b))
|
||||
else:
|
||||
result['blocks'].append(b)
|
||||
|
||||
return result
|
||||
|
||||
result = {}
|
||||
|
||||
for fpath in list(sorted((Path.home() / 'workspace' / 'journal').glob('*.md'))):
|
||||
curr_day = fpath.stem
|
||||
|
||||
header, *tmp = entry_re.split(fpath.read_text())
|
||||
entries = list(zip(tmp[::2], tmp[1::2]))
|
||||
|
||||
result[fpath.stem] = {
|
||||
'header': parse_header(header),
|
||||
'entries': [parse_entry(e) for e in entries],
|
||||
}
|
||||
|
||||
with open('journal.json', 'w') as fp:
|
||||
json.dump(result, fp, indent=4, ensure_ascii=False)
|
||||
77
progress.py
77
progress.py
@@ -1,77 +0,0 @@
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, timedelta
|
||||
import math
|
||||
|
||||
from common import parse_timestamp
|
||||
|
||||
content = open(sys.argv[1]).read().strip()
|
||||
|
||||
lines = content.splitlines()
|
||||
current_chapter = ''
|
||||
|
||||
total_chapters = 0
|
||||
completed_chapters = set()
|
||||
|
||||
today = datetime.now().replace(hour=0,minute=0,second=0,microsecond=0)
|
||||
this_week = today - timedelta(days=7)
|
||||
|
||||
total_hours = 0.0
|
||||
day_hours = 0.0
|
||||
week_hours = 0.0
|
||||
|
||||
oldest_timestamp = datetime.now()
|
||||
|
||||
i = 0
|
||||
while i < len(lines):
|
||||
line = lines[i].strip()
|
||||
|
||||
if line.startswith('#'):
|
||||
current_chapter = line[line.find(' ')+1:]
|
||||
total_chapters += 1
|
||||
else:
|
||||
completed_chapters.add(current_chapter)
|
||||
|
||||
if line.startswith('@start'):
|
||||
start = parse_timestamp(line.removeprefix('@start '))
|
||||
|
||||
if start < oldest_timestamp:
|
||||
oldest_timestamp = start
|
||||
|
||||
i += 1
|
||||
line = lines[i].strip()
|
||||
|
||||
end = parse_timestamp(line.removeprefix('@stop '))
|
||||
delta = end - start
|
||||
hours = delta.seconds / 60 / 60
|
||||
|
||||
total_hours += hours
|
||||
if start > this_week:
|
||||
week_hours += hours
|
||||
if start > today:
|
||||
day_hours += hours
|
||||
|
||||
i += 1
|
||||
|
||||
completed_chapters = len(completed_chapters)
|
||||
|
||||
num_days = (datetime.now() - oldest_timestamp).days or 1
|
||||
hours_per_day = total_hours / num_days
|
||||
|
||||
hours_per_chapter = total_hours / completed_chapters
|
||||
hours_to_completion = hours_per_chapter * (total_chapters - completed_chapters)
|
||||
days_to_completion = math.ceil(hours_to_completion / hours_per_day)
|
||||
|
||||
completion_date = datetime.now() + timedelta(days=days_to_completion)
|
||||
|
||||
completion_percentage = completed_chapters/total_chapters*100
|
||||
|
||||
print(f'Started on: {oldest_timestamp.strftime("%Y-%m-%d")}')
|
||||
print(f'Progress: [{completed_chapters}/{total_chapters}] ({round(completion_percentage, 2)}%)')
|
||||
print(f'Total: {round(total_hours, 2)}h')
|
||||
print(f'Week: {round(week_hours, 2)}h')
|
||||
print(f'Day: {round(day_hours, 2)}h')
|
||||
print(f'Hours per day: {round(hours_per_day, 2)}h')
|
||||
print(f'Hours to completion: {round(hours_to_completion, 2)}h')
|
||||
print(f'Completion date: {completion_date.strftime("%Y-%m-%d")}')
|
||||
|
||||
29
search.py
29
search.py
@@ -1,29 +0,0 @@
|
||||
from pathlib import Path
|
||||
from subprocess import run
|
||||
import re
|
||||
import sys
|
||||
|
||||
entry_re = re.compile(r'^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})', re.MULTILINE)
|
||||
|
||||
matches = []
|
||||
|
||||
for fpath in sorted((Path.home() / 'workspace' / 'journal').glob('*.md')):
|
||||
header, *tmp = entry_re.split(fpath.read_text())
|
||||
entries = list(zip(tmp[::2], tmp[1::2]))
|
||||
|
||||
for (timestamp, content) in sorted(entries, key=lambda x: x[0]):
|
||||
content = '\n'.join(
|
||||
part.replace('\n', ' ')
|
||||
for part in content.split('\n\n')
|
||||
)
|
||||
|
||||
if sys.argv[1].lower() in content.lower().split():
|
||||
matches.append((timestamp, content))
|
||||
|
||||
buf = ''
|
||||
|
||||
for (ts, c) in matches:
|
||||
c = c.replace('\n', ' ').strip()
|
||||
buf += (f'[[{ts}]] {c}')[:80] + '\n'
|
||||
|
||||
run(['nvim', '-'], input=buf.encode('utf-8'))
|
||||
82
summary.py
82
summary.py
@@ -1,82 +0,0 @@
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
from collections import Counter
|
||||
from functools import reduce
|
||||
import re
|
||||
import string
|
||||
|
||||
import sys
|
||||
|
||||
do_yesterday = len(sys.argv) > 1
|
||||
|
||||
from common import parse_foods_file
|
||||
|
||||
foods, recipes = parse_foods_file()
|
||||
|
||||
entry_re = re.compile(r'^(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}) ', re.MULTILINE)
|
||||
diet_re = re.compile(r'@diet (\d+g) ([a-zA-Z]+)')
|
||||
|
||||
day_index = -2 if do_yesterday else -1
|
||||
|
||||
current_day = list(sorted((Path.home() / 'workspace' /
|
||||
'journal').glob('*.md')))[day_index]
|
||||
|
||||
header, *tmp = entry_re.split(current_day.read_text())
|
||||
entries = list(zip(tmp[::2], tmp[1::2]))
|
||||
|
||||
daily_grams = 0.0
|
||||
daily_calories = 0.0
|
||||
daily_protein = 0.0
|
||||
|
||||
for (timestamp, content) in sorted(entries, key=lambda x: x[0]):
|
||||
content = '\n'.join(
|
||||
part.replace('\n', ' ')
|
||||
for part in content.split('\n\n')
|
||||
)
|
||||
|
||||
has_printed = False
|
||||
entry_calories = 0.0
|
||||
entry_protein = 0.0
|
||||
for diet in diet_re.finditer(content):
|
||||
if not has_printed:
|
||||
print(f'-- {timestamp}')
|
||||
has_printed = True
|
||||
|
||||
value, name = diet.groups()
|
||||
value = float(value.removesuffix('g'))
|
||||
|
||||
if name in recipes:
|
||||
food = recipes[name]
|
||||
|
||||
if value == 0.0:
|
||||
value = food['TOTAL']
|
||||
|
||||
food = {k: v*(value/food['TOTAL']) for k,v in food.items()}
|
||||
elif name in foods:
|
||||
if value == 0.0:
|
||||
value = 100
|
||||
|
||||
food = {k: v*(value/100.0) for k,v in foods[name].items()}
|
||||
else:
|
||||
breakpoint()
|
||||
print(f'ERROR: Invalid diet entry: {content}')
|
||||
continue
|
||||
|
||||
protein = round(food.get('Protein', 0.0), 2)
|
||||
calories = round(food.get('Energy', 0.0), 2)
|
||||
|
||||
entry_calories += calories
|
||||
entry_protein += protein
|
||||
|
||||
print(f'{name:<20} {value:<6}g, {calories:<6}kcal, {protein:<6}g protein')
|
||||
|
||||
if has_printed:
|
||||
entry_calories = round(entry_calories, 2)
|
||||
entry_protein = round(entry_protein, 2)
|
||||
print(f'-- TOTAL: {entry_calories}kcal, {entry_protein}g protein')
|
||||
print()
|
||||
|
||||
daily_calories += entry_calories
|
||||
daily_protein += entry_protein
|
||||
|
||||
print(f'-- DAILY TOTAL ({daily_calories}kcal, {daily_protein}g protein)')
|
||||
Reference in New Issue
Block a user