final commit

analyze.py

@@ -129,6 +129,8 @@ diet_csv = [[
     '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())
@@ -143,6 +145,7 @@ for fpath in sorted((Path.home() / 'workspace' / 'journal').glob('*.md')):
     daily_sugar = 0.0
 
     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(
@@ -152,8 +155,11 @@ for fpath in sorted((Path.home() / 'workspace' / 'journal').glob('*.md')):
 
         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]
 
@@ -172,6 +178,7 @@ for fpath in sorted((Path.home() / 'workspace' / 'journal').glob('*.md')):
                 continue
             
             
+
             diet_csv.append((
                 timestamp,
                 name,

foods

@@ -1,4 +1,32 @@
 
+Apple
+Energy 52kcal
+Fat 0.2g
+Carbs 14g
+Fiber 2.4g
+Sugar 10g
+Protein 0.3g
+
+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
@@ -129,6 +157,15 @@ 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
@@ -554,6 +591,12 @@ Carbs 1.5g
 Protein 22.0g
 Salt 2.7g
 
+Salmon
+Energy 208kcal
+Fat 13g
+SaturatedFat 3.0g
+Protein 20g
+
 ---
 
 Omlette
@@ -590,6 +633,10 @@ FakeChicken 250g
 Oil 40g
 PeasCornPepper 225g
 
+OilVeggies
+Oil 30g
+PeasCornPepper 220g
+
 MashedPotato
 Margarine 40g
 Milk 180g
@@ -633,6 +680,11 @@ FoodCream 450g
 Oil 50g
 Potato 1500g
 
+CreamPotatoes2
+Cheese 200g
+FoodCream 450g
+Potato 1020g
+
 ProteinSpaghettiBolognese
 ProteinSpaghetti 500g
 PastaSauce 500g
@@ -666,7 +718,25 @@ 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

parse.py

@@ -0,0 +1,105 @@
+from datetime import datetime, timedelta
+from pathlib import Path
+from subprocess import run
+from typing import Union
+import sys
+import re
+
+JOURNAL_PATH = '/Users/olari/workspace/journal'
+
+entry_re = re.compile(r'^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}')
+
+def get_daily_file_paths() -> list[Path]:
+    return list(sorted(Path(JOURNAL_PATH).glob('*.md')))
+
+def resolve_relative_time_expression(now: datetime, expr: str) -> datetime:
+    weekdays = [
+        'monday', 'tuesday', 'wednesday', 'thursday',
+        'friday', 'saturday', 'sunday'
+    ]
+
+    if expr == 'today':
+        return now
+    elif expr == 'tomorrow':
+        return now + timedelta(days=1)
+    elif expr == 'yesterday':
+        return now - timedelta(days=1)
+    elif expr in weekdays:
+        return now - timedelta(days=now.weekday()) + weekdays.index(expr)
+    else:
+        return None
+
+def parse_godword(content: str) -> list[str]:
+    return content.split()
+    
+def parse_habits(content: str) -> dict[str, bool]:
+    return {
+        line[4:]: line[1] == 'x'
+        for line in content.splitlines()
+    }
+
+header_modules = {
+    'godword': (None, parse_godword),
+    'habits': (None, parse_habits),
+}
+
+def parse_module(content: str) -> tuple[str, Union[list, dict]]:
+    name, *content = content.splitlines()
+    name = name.removesuffix(':').lower()
+    content = '\n'.join(content)
+    _, parse = header_modules[name]
+    return name, parse(content)
+
+def parse_header(header):
+    title, *modules = header.split('\n\n')
+    title = title.removeprefix('# ')
+    return {
+        'title': title,
+        'modules': dict(parse_module(module) for module in modules)
+    }
+
+def parse_timestamp(timestamp):
+    return datetime.strptime('%Y-%m-%d %H:%M:%S')
+
+def parse_entry(entry):
+
+    return {
+
+    }
+
+def parse_file(fpath):
+    header = {}
+    entries = []
+
+    buf = []
+
+    with open(fpath) as fp:
+        for i, line in enumerate(fp):
+            if entry_re.match(line):
+                if not header:
+                    header = parse_header('\n'.join([c.strip() for c in buf]))
+                    header['line'] = i
+                else:
+                    entries.append(parse_entry('\n'.join(buf)))
+                buf = [line]
+            else:
+                buf.append(line)
+
+    result = {
+        'header': header,
+        'entries': entries,
+    }
+
+    breakpoint()
+
+    return result
+
+def parse_journal():
+    return {
+        info['header']['title']: info
+        for fpath in get_daily_file_paths()[-5:]
+        for info in parse_file(fpath)
+    }
+
+import json
+open('journal.json', 'w').write(json.dumps(parse_journal()))

search.py

@@ -0,0 +1,29 @@
+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'))

summary.py

@@ -0,0 +1,151 @@
+from pathlib import Path
+from datetime import datetime
+from collections import Counter
+from functools import reduce
+import re
+import string
+
+import sys
+
+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
+
+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]+)')
+
+current_day = list(sorted((Path.home() / 'workspace' /
+    'journal').glob('*.md')))[-1]
+
+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)')