✨ lib: read_recipes()
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d54fd73e53
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6c7ad52c72
4 changed files with 7 additions and 30 deletions
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@ -3,6 +3,7 @@ import re
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import os
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from config import *
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from lib import *
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def clean_recipe(recipe):
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@ -85,12 +86,7 @@ def main():
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# Read all and check
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recipes = []
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for json_file in os.listdir(OUTDIR_JSON):
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with open(os.path.join(OUTDIR_JSON, json_file), "r", encoding="utf-8") as f:
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data = json.load(f)
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recipes.append(data)
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recipes = read_recipes()
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for recipe in recipes:
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md = check_recipe(recipe)
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if not md:
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@ -8,6 +8,7 @@ import os
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from tqdm import tqdm
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from config import *
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from lib import *
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include_title = False
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@ -107,11 +108,7 @@ def format_recipe_to_markdown(recipe):
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def main():
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recipes = []
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for json_file in os.listdir(OUTDIR_JSON):
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with open(os.path.join(OUTDIR_JSON, json_file), "r", encoding="utf-8") as f:
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data = json.load(f)
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recipes.append(data)
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recipes = read_recipes()
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for recipe in tqdm(recipes):
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markdown_fn = f"{recipe.get('name', 'Untitled Recipe')}.md"
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@ -77,19 +77,7 @@ def main():
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Path("fruehstueck.csv").unlink(missing_ok=True)
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recipes = []
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for json_file in os.listdir(OUTDIR_JSON):
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with open(os.path.join(OUTDIR_JSON, json_file), "r", encoding="utf-8") as f:
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data = json.load(f)
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recipes.append(data)
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recipes.sort(key=lambda r: r["name"])
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# filter "Frühstück"
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recipes = [
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r
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for r in recipes
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if any(k["name"] == "Fr\u00fchst\u00fcck" for k in r["keywords"])
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]
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recipes = read_recipes(keyword="Frühstück")
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with open("fruehstueck.csv", "w", newline="") as f:
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fwriter = csv.writer(
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@ -7,6 +7,7 @@ import os
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from tqdm import tqdm
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from config import *
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from lib import *
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def allergens_for_step_ingredients(step):
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@ -59,12 +60,7 @@ def main():
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Path("report_allergene_korrektur.csv").unlink(missing_ok=True)
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Path("report_allergene.md").unlink(missing_ok=True)
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recipes = []
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for json_file in os.listdir(OUTDIR_JSON):
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with open(os.path.join(OUTDIR_JSON, json_file), "r", encoding="utf-8") as f:
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data = json.load(f)
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recipes.append(data)
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recipes.sort(key=lambda r: r["name"])
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recipes = read_recipes()
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for recipe in recipes:
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with open("report_allergene_korrektur.csv", "a") as f:
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