Class: CoachZed

Inherits:
Object
  • Object
show all
Defined in:
lib/coach_zed.rb,
lib/coach_zed/catalog.rb,
lib/coach_zed/version.rb,
lib/coach_zed/feed_reader.rb,
lib/coach_zed/feed_writer.rb,
lib/coach_zed/prompt_builder.rb,
lib/coach_zed/schedule_parser.rb,
lib/coach_zed/schedule_schema.rb,
lib/coach_zed/clients/ruby_openai.rb

Defined Under Namespace

Modules: Catalog, Clients, ScheduleSchema Classes: Config, FeedReader, FeedWriter, PromptBuilder, Result, ScheduleParser

Constant Summary collapse

VERSION = 
"0.5.2"

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(client:, workout_catalog_dir: nil, model: nil, output_dir: nil, feed_output_basename: nil, existing_feed_path: nil) ⇒ CoachZed

Returns a new instance of CoachZed.



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# File 'lib/coach_zed.rb', line 94

def initialize(
  client:,
  workout_catalog_dir: nil,
  model: nil,
  output_dir: nil,
  feed_output_basename: nil,
  existing_feed_path: nil
)
  config = self.class.config

  @workout_catalog_dir = Pathname(workout_catalog_dir || config.workout_catalog_dir || raise(ArgumentError, "workout_catalog_dir is required"))
  model_name = model || config.model || "gpt-4.1"
  @ai_client = wrap_client(client, model: model_name)
  @output_dir = Pathname(output_dir || config.output_dir || "results")
  @schedule_output_dir = @output_dir.join("schedules")
  @feed_output_dir = @output_dir.join("feeds")
  @feed_output_basename = feed_output_basename.nil? ? config.feed_output_basename : feed_output_basename
  resolved_existing_feed_path = existing_feed_path.nil? ? config.existing_feed_path : existing_feed_path
  @existing_feed_path = resolved_existing_feed_path && Pathname(resolved_existing_feed_path)
end

Class Method Details

.config ⇒ Object 



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# File 'lib/coach_zed.rb', line 46

def config
  @config ||= default_config
  load_config_file
  @config
end

.config_file_paths ⇒ Object 



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# File 'lib/coach_zed.rb', line 89

def config_file_paths
  [".coach_zed.yml", File.expand_path("~/.config/coach_zed.yml")]
end

.configure {|config| ... } ⇒ Object

Yields:



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# File 'lib/coach_zed.rb', line 52

def configure
  load_config_file
  yield config
end

.default_config ⇒ Object 



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# File 'lib/coach_zed.rb', line 82

def default_config
  Config.new(
    model: "gpt-4.1",
    output_dir: "results"
  )
end

.load_config_file ⇒ Object 



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# File 'lib/coach_zed.rb', line 57

def load_config_file
  return if @config_file_loaded

  @config ||= default_config

  config_file_paths.each do |path|
    next unless File.exist?(path)

    parsed = YAML.load_file(path)
    next unless parsed.is_a?(Hash)

    @config.apply(parsed.transform_keys(&:to_sym))
    @config_file_loaded = true
    return path
  end

  @config_file_loaded = true
  nil
end

.reset_config! ⇒ Object 



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# File 'lib/coach_zed.rb', line 77

def reset_config!
  @config = nil
  @config_file_loaded = false
end

Instance Method Details

#generate_schedule(start_date:, consultation_prompt: nil, consultation_prompt_path: nil, generation_mode: nil) ⇒ Object 



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# File 'lib/coach_zed.rb', line 115

def generate_schedule(start_date:, consultation_prompt: nil, consultation_prompt_path: nil, generation_mode: nil)
  prompt_text = resolve_prompt_text(consultation_prompt, consultation_prompt_path)
  catalog = Catalog::Loader.new(@workout_catalog_dir).load
  generation_mode = normalize_generation_mode(generation_mode)
  existing_feed = load_existing_feed if generation_mode != :refresh
  start_date = generation_start_date(start_date, existing_feed:, generation_mode:)
  generation_days = generation_days_for(start_date, generation_mode:, existing_feed:)
  existing_feed_context = existing_feed&.to_context(limit_days: 28)
  schedule_key = schedule_key_for(prompt_text, start_date, catalog, generation_days, existing_feed_context)
  prompt = PromptBuilder.new(
    consultation_prompt: prompt_text,
    catalog: catalog,
    start_date: start_date,
    schedule_key: schedule_key,
    generation_days: generation_days,
    existing_feed_context: existing_feed_context
  ).build
  raw_schedule = @ai_client.generate(prompt:)
  schedule = ScheduleParser.parse(raw_schedule)
  schedule = normalize_schedule(schedule, start_date:, prompt_text:, schedule_key:, catalog:, generation_days:)

  schedule_path = write_schedule(schedule, schedule_key)
  feed_paths = write_feeds(schedule, start_date:, schedule_key:, existing_feed:)

  Result.new(
    schedule_path: schedule_path,
    ics_path: feed_paths.fetch(:ics),
    webcal_path: feed_paths.fetch(:webcal),
    schedule: schedule
  )
end