Refactor repetition creation function
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b9c08758f9
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1 changed files with 28 additions and 17 deletions
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@ -5,7 +5,7 @@ import re
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def migrate(db, habitlist, events):
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c = db.cursor()
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habits = simple_habits_list(c, habitlist)
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repetitions = extract_all_repetitions(habits, events)
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repetitions = get_all_repetitions(habits, events)
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for rep in repetitions:
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add_to_database(
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c, rep["id"], rep["timestamp"], 2 if "value" not in rep else rep["value"]
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@ -15,7 +15,7 @@ def migrate(db, habitlist, events):
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LOOP_RANGE_VALUE_MULTIPLIER = 1000
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def extract_all_repetitions(habits, events):
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def get_all_repetitions(habits, events):
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"""Return list of all repetitions found of habits in events passed in.
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Parameters:
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habits (list): Collection of habits, with minimum necessary fields description and id.
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@ -26,23 +26,34 @@ def extract_all_repetitions(habits, events):
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"""
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repetitions = []
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for event in events:
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text = event["note"]
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tags = extract_tags(text)
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for habit in habits:
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reps = tags_to_repetitions(habit, extract_tags(event["note"]), event["end"])
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if reps:
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repetitions.extend(reps)
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return repetitions
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def tags_to_repetitions(habit, tags, timestamp):
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"""Return a list of all repetitions generated from the tags and habits passed in.
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Parameters:
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habits (list): Collection of habits, with minimum necessary fields description and id.
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tags (list): Collection of tag tuples.
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Returns:
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repetitions (list): Collection of habits for which a corresponding tag has
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been found. If they correspond that means at the timestamp
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the habit has been checked in, and a repetition is created.
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Contains fields id, timestamp, value (for ranges).
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"""
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reps = []
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for tag in tags:
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if habit["description"] in tag[0]:
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print(
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f"found repetition: {habit['name']} in {text} at {event['end']}"
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)
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repetitions.append({"id": habit["id"], "timestamp": event["end"]})
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repetition = {"id": habit["id"], "timestamp": timestamp}
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if tag[1]:
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print(f"repetition contains counter: {tag[0]} ({tag[1]})")
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if "type" in habit and habit["type"] == 1:
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repetitions[-1]["value"] = (
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tag[1] * LOOP_RANGE_VALUE_MULTIPLIER
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)
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print(f"added counter to ranged habit.")
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return repetitions
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repetition["value"] = tag[1] * LOOP_RANGE_VALUE_MULTIPLIER
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reps.append(repetition)
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return reps
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def extract_tags(text, tagmarker="#"):
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