73 lines
1.9 KiB
Python
Executable File
73 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python
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import json
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import pandas as pd
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import toloop as loop
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def load_file(filename):
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with open(filename) as f:
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nomie_data = json.load(f)
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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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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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reply = str(input(question + choices)).lower().strip() or default_answer
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if reply[0] == "y":
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return True
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if reply[0] == "n":
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return False
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else:
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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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trackers = ""
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for t in data["trackers"]:
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trackers += t + ", "
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print(f"Exporting from nomie {data['nomie']['number']}:")
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print(f"Found trackers: {trackers}")
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print(f"Found events: {len(data['events'])} entries.")
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if not confirmation_question("Do you want to continue?", default_no=False):
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print("Aborted.")
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exit(0)
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# better way to do this
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# def create_connection(db_file):
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# """create a database connection to the SQLite database
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# specified by db_file
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# :param db_file: database file
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# :return: Connection object or None
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# """
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# conn = None
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# try:
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# conn = sqlite3.connect(db_file)
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# return conn
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# except Error as e:
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# print(e)
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# return conn
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if __name__ == "__main__":
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# load nomie 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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trackers = nomie_data["trackers"]
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events = nomie_data["events"]
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# bring up dataframe
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df = get_dataframe(nomie_data)
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# give it over to loop migrator
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loop.migrate(trackers, events)
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