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# Terminal Helper Functions
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`terminal_helper.py` contains utility functions to assist with common terminal and script operations.
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This file documents what they do and provides guidance on their usage.
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## TerminalColors
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`TerminalColors` provides ANSI color codes as variables to style terminal output. Example usage:
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`TerminalColors` provides ANSI color codes as variables to style terminal output.
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print(f"{TerminalColors.OKGREEN}Success!{TerminalColors.ENDC}")
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Usage:
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```print(f"{TerminalColors.OKGREEN}Success!{TerminalColors.ENDC}")```
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## ScriptDataHelper
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### bulk_update_fields
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`bulk_update_fields` performs a memory-efficient bulk update on a Django model in batches using a Paginator.
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Usage:
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bulk_update_fields(Domain, page.object_list, ["first_ready"])
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```bulk_update_fields(Domain, object_list, ["first_ready"])```
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## TerminalHelper
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### log_script_run_summary
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`log_script_run_summary` logs a summary of a script run, including counts of updated, skipped, and failed records.
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Usage:
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```TerminalHelper.log_script_run_summary(self.to_update, self.failed_to_update, self.skipped, debug)```
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### print_conditional
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`print_conditional` conditionally logs a statement at a specified severity if a condition is met.
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Usage:
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```python
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TerminalHelper.print_conditional(
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debug_on,
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f"""{TerminalColors.YELLOW}Missing Domain Information
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{TerminalColors.ENDC}""",
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)
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```
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### prompt_for_execution
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`prompt_for_execution` prompts the user to inspect a string and confirm if they wish to proceed. Returns True if proceeding, False if skipping, or exits the script.
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```python
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TerminalHelper.prompt_for_execution(
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system_exit_on_terminate=True,
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info_to_inspect=f"""
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==Master data file==
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domain_additional_filename: {org_args.domain_additional_filename}
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==Organization data==
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organization_adhoc_filename: {org_args.organization_adhoc_filename}
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==Containing directory==
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directory: {org_args.directory}
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""",
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prompt_title="Do you wish to load organization data for TransitionDomains?",
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)
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```
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### query_yes_no
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`query_yes_no` prompts the user with a yes/no question and returns True for "yes" or False for "no".
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Usage:
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```python
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if query_yes_no("Do you want to proceed?"):
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print("Proceeding...")
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else:
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print("Aborting.")
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```
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### query_yes_no_exit
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`query_yes_no_exit` is similar to `query_yes_no` but includes an "exit" option to terminate the script.
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Usage:
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if query_yes_no_exit("Continue, abort, or exit?"):
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print("Continuing...")
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else:
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print("Aborting.")
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# Script will exit if user selected "e" for exit
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## PopulateScriptTemplate
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2. Implement the `update_record` method to define how each record should be updated
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3. Optionally, override the configuration variables and helper methods as needed
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4. Call `mass_update_records` within `handle` and run the script
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## TerminalHelper
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### log_script_run_summary
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`log_script_run_summary` logs a summary of a script run, including counts of updated, skipped, and failed records.
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### print_conditional
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`print_conditional` conditionally logs a statement at a specified severity if a condition is met.
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### prompt_for_execution
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`prompt_for_execution` prompts the user to inspect a string and confirm if they wish to proceed. Returns True if proceeding, False if skipping, or exits the script.
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### get_file_line_count
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`get_file_line_count` returns the number of lines in a file.
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### print_to_file_conditional
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`print_to_file_conditional` conditionally writes content to a file if a condition is met.
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Refer to the source code for full function signatures and additional details.
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### query_yes_no
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`query_yes_no` prompts the user with a yes/no question and returns True for "yes" or False for "no".
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Usage:
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```python
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if query_yes_no("Do you want to proceed?"):
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print("Proceeding...")
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else:
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print("Aborting.")
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```
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### query_yes_no_exit
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`query_yes_no_exit` is similar to `query_yes_no` but includes an "exit" option to terminate the script.
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Usage:
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if query_yes_no_exit("Continue, abort, or exit?"):
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print("Continuing...")
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else:
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print("Aborting.")
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# Script will exit if user selected "e" for exit
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### array_as_string
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`array_as_string` converts a list of strings into a single string with each element on a new line.
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Usage:
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```python
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my_list = ["apple", "banana", "cherry"]
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print(array_as_string(my_list))
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```
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Output:
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```
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apple
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banana
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cherry
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```
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