From 91759579d0fcd4acb48e7a209e8f79796fb67aaa Mon Sep 17 00:00:00 2001
From: cyfraeviolae <cyfraeviolae>
Date: Wed, 11 Jan 2023 22:46:45 -0500
Subject: init

---
 read.py | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100755 read.py

(limited to 'read.py')

diff --git a/read.py b/read.py
new file mode 100755
index 0000000..4890d73
--- /dev/null
+++ b/read.py
@@ -0,0 +1,38 @@
+#!/usr/bin/env python
+from collections import defaultdict
+import pandas as pd
+
+columns = ['name', 'serving_size', 'calories', 'calories_from_fat', 'total_fat',
+           'saturated_fat', 'trans_fat', 'cholesterol', 'sodium',
+           'total_carbs', 'dietary_fiber', 'sugars', 'protein']
+bases = []
+signature_ingredients = []
+premium_ingredients = []
+dressings = []
+
+with open('out.csv') as fh:
+    lines = fh.readlines()
+
+tables = defaultdict(list)
+tablemap = {'BASES': 'Bases',
+            'SIGNATURE INGREDIENTS': 'Signature ingredients',
+            'PREMIUM INGREDIENTS': 'Premium ingredients',
+            '"DRESSINGS': 'Dressings'}
+title = None
+for line in lines:
+    line = line.strip()
+    if 'SIGNATURE MENU' in line:
+        break
+    if '(g)' in line:
+        title = line.split(',')[0]
+        continue
+    if title in tablemap:
+        cells = line.split(',')
+        cells = [cells[0]] + [int(cell) for cell in cells[1:]]
+        tables[tablemap[title]].append(cells)
+
+dfs = {name: pd.DataFrame(data=table, columns=columns) for name, table in tables.items()}
+
+import json
+jdfs = {name: df.to_dict('records') for name, df in dfs.items()}
+print('let data = ' + json.dumps(jdfs))
-- 
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