Module: OllamaChat::PromptManagement
- Included in:
- Chat
- Defined in:
- lib/ollama_chat/prompt_management.rb
Overview
Provides administrative and interactive management for prompt templates stored in the database.
This module handles the user-facing selection process for prompts, allowing users to interactively pick a prompt from the database.
Instance Method Summary collapse
-
#add_new_prompt(context: nil) ⇒ Boolean?
Interactively prompts the user for a name and content (optionally loading from a file) to create a new prompt template.
-
#all_prompts(default: nil, context: nil) ⇒ Array<SearchUI::Wrapper>
Retrieves all stored prompts, decorated with a heart if they are marked as favourites.
-
#choose_and_delete_prompt(context: nil, force: false) ⇒ Object
Interactively selects an existing non-default prompt and deletes it after confirmation.
-
#choose_and_edit_prompt(context: nil) ⇒ self?
Interactively selects an existing prompt and allows the user to edit its content via the integrated editor.
-
#choose_prompt(default: nil, context: nil, prompt: "Select a #{context || 'prompt'} template: %s") ⇒ OllamaChat::Database::Models::Prompt?
The choose_prompt method presents a menu of available prompts for selection.
-
#choose_prompt_context ⇒ String?
The choose_prompt_context method presents a menu of available prompt contexts for selection.
-
#duplicate_prompt(context: nil) ⇒ self?
Duplicates an existing prompt.
-
#export_prompt(context: nil) ⇒ self?
Interactively exports a prompt to a specified file.
-
#import_prompt(filename, context: nil) ⇒ self?
Interactively imports a prompt from a file.
-
#info_prompt(context: nil) ⇒ self?
Displays detailed information about a selected prompt template.
-
#list_prompts(context: nil) ⇒ Array
Lists all prompt templates in the database, indicating which are defaults and showing a truncated preview of their content.
-
#prepare_conversation_history ⇒ String
Aggregates the current conversation history into a single string for context-aware generation.
-
#reset_prompt_to_default(name, context: nil) ⇒ Boolean?
Resets a prompt's content to the default value defined in the configuration.
-
#suggest_prompts(edit: false) ⇒ String?
Interactively generates follow-up prompt suggestions based on the current session.
Instance Method Details
#add_new_prompt(context: nil) ⇒ Boolean?
Interactively prompts the user for a name and content (optionally loading from a file) to create a new prompt template.
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# File 'lib/ollama_chat/prompt_management.rb', line 93 def add_new_prompt(context: nil) context ||= 'prompt' switch_history(:add_prompt) do name = determine_valid_new_name_for_prompt('to add', context:) or return sources = %w[ [CLIPBOARD] [FILES] [EMPTY/MANUAL] ] chosen_source = choose_entry(sources, prompt: 'Where shall we source the prompt from? %s') chosen_source or return content = case chosen_source when '[CLIPBOARD]' perform_paste_from_clipboard(edit: false) when '[FILES]' patterns = ask?( prompt: "❓ Enter file patterns to load file, C-u ⇒ new, C-c ⇒ cancel: ", prefill: '**/*.{txt,md}' ) patterns.nil? ? (return) : (patterns.present? ? load_prompt_from_file(patterns) : nil) else nil end prompt_content = edit_text(content) store_prompt(name, prompt_content, context:) log(:info, "Prompt added", data: { name:, context: }) true end end |
#all_prompts(default: nil, context: nil) ⇒ Array<SearchUI::Wrapper>
Retrieves all stored prompts, decorated with a heart if they are marked as favourites.
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# File 'lib/ollama_chat/prompt_management.rb', line 16 def all_prompts(default: nil, context: nil) context ||= 'prompt' favs = all_favourited(context) each_prompt(context:, default:).sort_by(&:name).map do |p| prompt_with_favourite(p.name, favs[p.name]) end end |
#choose_and_delete_prompt(context: nil, force: false) ⇒ Object
Interactively selects an existing non-default prompt and deletes it after confirmation.
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# File 'lib/ollama_chat/prompt_management.rb', line 124 def choose_and_delete_prompt(context: nil, force: false) context ||= 'prompt' selected_prompt = choose_prompt( default: force ? nil : false, context:, prompt: 'Which template has outlived its usefulness? %s' ) or return STDOUT.puts kramdown_ansi_parse( selected_prompt.to_s + "\n---" ) confirm?( prompt: "🔔 Really delete the prompt #{bold{selected_prompt.name}}? (y/n) ", yes: /\Ay/i ) or return selected_prompt.destroy log(:info, "Prompt deleted", data: { name: selected_prompt.name, context: }) end |
#choose_and_edit_prompt(context: nil) ⇒ self?
Interactively selects an existing prompt and allows the user to edit its content via the integrated editor.
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# File 'lib/ollama_chat/prompt_management.rb', line 146 def choose_and_edit_prompt(context: nil) context ||= 'prompt' selected_prompt = choose_prompt(context:, prompt: 'Which spell needs some fine-tuning? %s') or return selected_prompt.['content'] = edit_text(selected_prompt.['content'].to_s) selected_prompt.save log(:info, "Prompt edited", data: { name: selected_prompt.name, context: }) self end |
#choose_prompt(default: nil, context: nil, prompt: "Select a #{context || 'prompt'} template: %s") ⇒ OllamaChat::Database::Models::Prompt?
The choose_prompt method presents a menu of available prompts for selection. It retrieves the list of prompt names from the database, adds an '[EXIT]' option, and displays them via the Chooser utility.
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# File 'lib/ollama_chat/prompt_management.rb', line 55 def choose_prompt(default: nil, context: nil, prompt: "Select a #{context || 'prompt'} template: %s") context ||= 'prompt' prompts = all_prompts(default:, context:) prompts.unshift('[EXIT]') case chosen = choose_entry(prompts, prompt:) when '[EXIT]', nil STDOUT.puts "Exiting chooser." return when SearchUI::Wrapper prompt(chosen.value, context:) end end |
#choose_prompt_context ⇒ String?
The choose_prompt_context method presents a menu of available prompt contexts for selection. It allows the user to choose between 'prompt', 'system', and 'suggest' contexts.
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# File 'lib/ollama_chat/prompt_management.rb', line 30 def choose_prompt_context contexts = models::Prompt.group(:context).order(:context).pluck(:context) contexts.unshift('[EXIT]') case chosen = choose_entry( contexts, prompt: '📝 Which prompt context shall we work in? %s' ) when '[EXIT]', nil STDOUT.puts "Exiting chooser." return else chosen end end |
#duplicate_prompt(context: nil) ⇒ self?
Duplicates an existing prompt.
This method initiates an interactive workflow:
- Prompts the user to select a prompt to clone.
- Displays the content of the selected prompt for verification.
- Requests a new name for the duplicate, validating that it does not already exist in the database.
- Creates and saves the new prompt record using the Database::Duplicatable mixin.
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# File 'lib/ollama_chat/prompt_management.rb', line 166 def duplicate_prompt(context: nil) context ||= 'prompt' selected_prompt = choose_prompt(context:, prompt: 'Which prompt shall be the basis for a new one? %s') or return STDOUT.puts kramdown_ansi_parse( selected_prompt.to_s + "\n---" ) name = nil loop do name = ask?( prompt: "❓ Enter new prompt name to duplicate as, C-c ⇒ cancel: " ) if name.nil? STDOUT.puts "Cancelled." return nil end if prompt(name, context:) STDOUT.puts "Prompt named #{bold{name}} already exists." else break end end duplicated_prompt = selected_prompt.duplicate duplicated_prompt.name = name duplicated_prompt.['default'] = false duplicated_prompt.save log(:info, "Prompt duplicated", data: { name:, old_name: selected_prompt.name, context: }) self end |
#export_prompt(context: nil) ⇒ self?
Interactively exports a prompt to a specified file.
The process follows these steps:
- Prompts the user to select a prompt via
choose_prompt. - Displays the prompt's current content to the terminal.
- Prompts for a destination filename via
determine_valid_output_filename. - Writes the prompt content to the chosen file.
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# File 'lib/ollama_chat/prompt_management.rb', line 241 def export_prompt(context: nil) context ||= 'prompt' selected_prompt = choose_prompt(context:, prompt: 'Which template are you exporting to disk? %s') or return STDOUT.puts kramdown_ansi_parse( selected_prompt.to_s + "\n---" ) filename = determine_valid_output_filename('to write to') or return filename.write(selected_prompt.to_s) log(:info, "Prompt exported", data: { name: selected_prompt.name, dest: filename.to_s, context: }) STDOUT.puts "Prompt #{selected_prompt.name.inspect} was exported as #{filename.to_path.inspect}?" self end |
#import_prompt(filename, context: nil) ⇒ self?
Interactively imports a prompt from a file.
The process follows these steps:
- Resolves the source file path (either using the provided filename or prompting the user to choose one).
- Prompts for a unique name for the new prompt via
determine_valid_new_name_for_prompt. - Reads the file content and stores it in the database.
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# File 'lib/ollama_chat/prompt_management.rb', line 207 def import_prompt(filename, context: nil) context ||= 'prompt' if filename if File.exist?(filename) filename = Pathname.new(filename) else filename = choose_filename(filename) end else filename = choose_filename('**/*.md') end unless filename STDOUT.puts "Cancelled." return end prompt_name = determine_valid_new_name_for_prompt('to import', context:) or return prompt_content = filename.read store_prompt(prompt_name, prompt_content, context:) log(:info, "Prompt imported", data: { name: prompt_name, source: filename.to_s, context: }) STDOUT.puts "Imported prompt as #{prompt_name.inspect}." self end |
#info_prompt(context: nil) ⇒ self?
Displays detailed information about a selected prompt template.
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# File 'lib/ollama_chat/prompt_management.rb', line 71 def info_prompt(context: nil) context ||= 'prompt' if selected_prompt = choose_prompt(context:, prompt: 'Which blueprint would you like to inspect? %s') use_pager do |output| output.puts kramdown_ansi_parse(<<~EOT) # Prompt #{selected_prompt.name} --- #{selected_prompt.to_s} --- EOT end end self end |
#list_prompts(context: nil) ⇒ Array
Lists all prompt templates in the database, indicating which are defaults and showing a truncated preview of their content.
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# File 'lib/ollama_chat/prompt_management.rb', line 316 def list_prompts(context: nil) context ||= 'prompt' favs = all_favourited(context) each_prompt(context:).sort_by(&:name).map do |p| default = p.['default'] ? '⛭' : '✎' start = '%s %s' % [ default, bold { p.name } ] start = prefix_favourite(start, favs[p.name]) content = p.to_s.inspect[1..-2] content = Kramdown::ANSI::Width.truncate( content, length: 0.9 * (Tins::Terminal.columns - start.size) ) STDOUT.print start STDOUT.puts ' %s' % italic { content } end end |
#prepare_conversation_history ⇒ String
Aggregates the current conversation history into a single string for context-aware generation.
Each message is formatted as "Sender Name: Message Content", skipping messages that contain no content.
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# File 'lib/ollama_chat/prompt_management.rb', line 261 def prepare_conversation_history ..inject('') do |result, | = .content.full? or next result sender_name = sender_name_displayed(, template: false) result << "%s: %s" % [ sender_name, ] end end |
#reset_prompt_to_default(name, context: nil) ⇒ Boolean?
Resets a prompt's content to the default value defined in the configuration.
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# File 'lib/ollama_chat/prompt_management.rb', line 336 def reset_prompt_to_default(name, context: nil) context ||= 'prompt' if content = config.prompts.prompt[name.to_s] store_prompt(name, content, context:) true end end |
#suggest_prompts(edit: false) ⇒ String?
Interactively generates follow-up prompt suggestions based on the current session.
This method constructs a prompt containing the conversation history and an instruction (either selected from a template or provided manually) and requests a generation from the AI model. The resulting suggestions are then opened in the editor for final refinement before being returned.
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# File 'lib/ollama_chat/prompt_management.rb', line 282 def suggest_prompts(edit: false) instruction = nil if edit # Let the user write a suggestion instruction on the fly instruction = edit_text('').full? or return else # Let the user pick a prompt template (e.g., suggest_coding, suggest_roleplaying) instruction = choose_prompt( prompt: 'Which suggestion strategy shall we employ? %s', context: 'suggest' ) or return end # Build the context by gathering all current conversation messages history = prepare_conversation_history full_prompt = <<~EOT Conversation History: #{history} Instruction: #{instruction} EOT # Execute a silent chat oneshot call (doesn't add to history) suggestions = generate(prompt: full_prompt).full? or return # Pass the AI's suggestions through the editor for final refinement edit_text(suggestions) end |