Create loop sqlite tables
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README.md
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README.md
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# Schemas
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A collection of the schemas of Loop habit sqlite database for later migration
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# Loop Habit Tracker
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## Repetitions - 2021-08-26 -- seems to replace the older Chains table?
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id|habit|timestamp|value
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1|1|1629936000000|2
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2|2|1629936000000|2
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3|2|1629676800000|2
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## Habits - from 2021-07-23
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id | archived | color | description | freq_den | freq_num | highlight | name | position | reminder_hour | reminder_min | reminder_days | type | target_type | target_value | unit | question | uuid
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1 | 0 | 4 | | 1 | 1 | 0 | mood | 0 | | | 0 | 1 | 0 | 10.0 | | How do you feel today? | d183a7dd755e44ce9a5782f518b402b4
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2 | 0 | 1 | | 1 | 1 | 0 | reading | 1 | | | 0 | 0 | 0 | 0.0 | | Did you read today? | 6b361353e0914a698e896798d5ebca6e
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3 | 0 | 15 | | 1 | 1 | 0 | sex 💏 | 2 | | | 0 | 0 | 0 | 0.0 | | Did you have sex today? | 41b646162dc542b3ba223993847d861b
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## Habits - from 2021-08-26
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id | archived | color | description | freq_den | freq_num | highlight | name | position | reminder_hour | reminder_min | reminder_days | type | target_type | target_value | unit | question | uuid
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1 | 0 | 11 | | 1 | 1 | 0 | Gt | 0 | | | 0 | 0 | 0 | 0.0 | | | cfed6f97b67e435d8461ba1accf7457e
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2 | 0 | 15 | And note | 3 | 1 | 0 | Iamtrack | 1 | 23 | 0 | 127 | 0 | 0 | 0.0 | | And have all fields? | 1ebe2d429e0d4cd293b1ea038c2b079a
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## Chains - habit maps to habit table ID - 2021-07-23
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id|habit|timestamp|value
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1|1|1627257600000|5000
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2|2|1627257600000|2
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3|2|1627171200000|2
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4|2|1626998400000|2
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5|1|1626912000000|10000
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6|1|1626998400000|3000
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7|3|1627171200000|2
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## EVENTS -- empty?
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# Nomie
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## Nomie trackers
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{
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'mood': {
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'tag': 'mood',
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'id': '02283493c7ed0b8dd08de38ae5ca4944',
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'type': 'range',
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'color': '#369DD3',
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'math': 'mean',
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'ignore_zeros': False,
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'uom': 'num',
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'emoji': '😉',
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'default': '3',
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'max': '10',
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'min': '1',
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'score': 'custom',
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'score_calc': [{'if': 'value',
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'is': 'gt',
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'v': 5,
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'sc': '1'},
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{'if': 'value',
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'is': 'lt',
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'v': 5,
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'sc': '-1'}],
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'goal': None,
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'one_tap': False,
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'include': '',
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'hidden': False,
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'label': 'Mood'
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},
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'cigarette':
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{
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'tag': 'cigarette',
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'id': '551faae2c5d865ca81e20d00c952b679',
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'type': 'tick',
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'color': '#EB144C',
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'math': 'su m',
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'ignore_zeros': False,
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'uom': 'num',
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'emoji': '🚬',
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'default': None,
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'score': '-1',
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'one_tap': True,
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'incl ude': '',
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'hidden': False,
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'label': 'Cigarette'
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},
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}
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## DataFrame sample from Nomie
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_id note end start score lat lng location offset modified source
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0 a1a85aac2f #mood(7) #social #date #cigarette #alcohol #go... 1546282800000 1546282800000 0 NaN NaN -60 False importer
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1 d717092fbd #mood(7) #reading #social #cigarette #good_mea... 1546209780000 1546209780000 0 NaN NaN -60 False importer
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2 311a54f23e #mood(7) #work #social #date #cigarette #relax 1530381900000 1530381900000 0 NaN NaN -60 False importer
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3 7f40cce690 #mood(7) #work #cigarette #good_meal #surfing 1530308340000 1530308340000 0 NaN NaN -60 False importer
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4 d75e110fdc #mood(7) #reading #work #cigarette #good_meal ... 1530293580000 1530293580000 0 NaN NaN -60 False importer
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66
migrate.py
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migrate.py
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@ -1,6 +1,7 @@
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#!/usr/bin/env python
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#!/usr/bin/env python
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import json
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import json
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import pandas as pd
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import sqlite3
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import sqlite3
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@ -10,6 +11,11 @@ def load_file(filename):
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return nomie_data
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return nomie_data
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def get_dataframe(nomie_data):
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return pd.DataFrame(nomie_data["events"])
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# generate a yes/no cli question with a default answer
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def confirmation_question(question, default_no=True):
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def confirmation_question(question, default_no=True):
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choices = " [y/N]: " if default_no else " [Y/n]: "
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choices = " [y/N]: " if default_no else " [Y/n]: "
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default_answer = "n" if default_no else "y"
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default_answer = "n" if default_no else "y"
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@ -22,6 +28,7 @@ def confirmation_question(question, default_no=True):
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return False if default_no else True
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return False if default_no else True
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# display stats and ask user to confirm if they seem okay
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def verify_continue(data):
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def verify_continue(data):
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trackers = ""
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trackers = ""
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for t in data["trackers"]:
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for t in data["trackers"]:
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@ -37,34 +44,49 @@ def create_database(name):
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return sqlite3.connect(name)
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return sqlite3.connect(name)
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def create_loop_tables(cursor):
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def create_loop_tables(db):
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cursor.execute("CREATE TABLE ")
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c = db.cursor()
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c.execute(
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""" CREATE TABLE IF NOT EXISTS Habits (
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# HABITS
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id integer PRIMARY KEY,
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# id|archived|color|description|freq_den|freq_num|highlight|name|position|reminder_hour|reminder_min|reminder_days|type|target_type|target_value|unit|question|uuid
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archived integer,
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# 1|0|4||1|1|0|mood|0|||0|1|0|10.0||How do you feel today?|d183a7dd755e44ce9a5782f518b402b4
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color integer,
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# 2|0|1||1|1|0|reading|1|||0|0|0|0.0||Did you read today?|6b361353e0914a698e896798d5ebca6e
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description text,
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# 3|0|15||1|1|0|sex 💏|2|||0|0|0|0.0||Did you have sex today?|41b646162dc542b3ba223993847d861b
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freq_den integer,
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freq_num integer,
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# CHAINS - habit maps to habit table ID
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highlight integer,
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# id|habit|timestamp|value
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name text NOT NULL,
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# 1|1|1627257600000|5000
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position integer,
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# 2|2|1627257600000|2
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reminder_hour integer,
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# 3|2|1627171200000|2
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reminder_min integer,
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# 4|2|1626998400000|2
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reminder_days integer,
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# 5|1|1626912000000|10000
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type integer,
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# 6|1|1626998400000|3000
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target_type integer,
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# 7|3|1627171200000|2
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target_value real,
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unit text,
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# EVENTS -- empty?
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question text,
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uuid text NOT NULL
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); """
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)
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c.execute(
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""" CREATE TABLE IF NOT EXISTS Repetitions (
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id integer PRIMARY KEY,
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habit integer,
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timestamp integer,
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value integer
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); """
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)
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if __name__ == "__main__":
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if __name__ == "__main__":
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# load nomie json
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# load nomie json
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nomie_data = load_file("input.json")
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nomie_data = load_file("input.json")
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# DISABLED FOR DEBUGGING
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verify_continue(nomie_data)
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verify_continue(nomie_data)
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# bring up dataframe
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df = get_dataframe(nomie_data)
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# prep sqlite database
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# prep sqlite database
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db = create_database("output.db")
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db = create_database("output.db")
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c = db.cursor()
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create_loop_tables(db)
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