pub mod audio;
pub mod clipboard;
pub mod diagnostics;
pub mod feedback;
pub mod fs;
pub mod hardware;
pub mod hotkey;
pub mod intentions;
pub mod live;
pub mod llm;
pub mod meeting;
pub mod models;
pub mod nudges;
pub mod onboarding;
pub mod paste;
pub mod power;
pub mod profiles;
pub mod rituals;
pub mod security;
pub mod tasks;
pub mod transcription;
pub mod transcripts;
pub mod tts;
pub mod update;
pub mod windows;

/// Build the Whisper `initial_prompt` for a transcription request.
///
/// Precedence:
/// 1. Caller-supplied `request_prompt` (non-empty wins outright — the caller
///    has already made the decision).
/// 2. Profile's stored prompt + profile terms (joined: the prompt frames the
///    task, the vocabulary biases recognition toward domain terms).
/// 3. Profile prompt alone, or vocabulary alone.
/// 4. `None` if nothing is set.
///
/// Feeding `profile_terms` into `initial_prompt` (the OpenWhispr pattern) lets
/// whisper.cpp bias its decoder toward the correct spelling of user-specific
/// vocabulary at decode time, before any LLM cleanup pass.
pub fn build_initial_prompt(
    request_prompt: &str,
    profile_prompt: &str,
    profile_terms: &[String],
) -> Option<String> {
    let trimmed_request = request_prompt.trim();
    if !trimmed_request.is_empty() {
        return Some(trimmed_request.to_string());
    }

    let trimmed_profile = profile_prompt.trim();
    let terms_list = profile_terms
        .iter()
        .map(|term| term.trim())
        .filter(|term| !term.is_empty())
        .collect::<Vec<_>>()
        .join(", ");

    match (trimmed_profile.is_empty(), terms_list.is_empty()) {
        (true, true) => None,
        (false, true) => Some(trimmed_profile.to_string()),
        (true, false) => Some(format!("Vocabulary: {terms_list}.")),
        (false, false) => Some(format!("{trimmed_profile} Vocabulary: {terms_list}.")),
    }
}

#[cfg(test)]
mod tests {
    use super::build_initial_prompt;

    #[test]
    fn caller_prompt_overrides_everything() {
        let got = build_initial_prompt(
            "caller wins",
            "profile prompt",
            &["Wren".into(), "CORBEL".into()],
        );
        assert_eq!(got.as_deref(), Some("caller wins"));
    }

    #[test]
    fn profile_prompt_and_terms_are_joined() {
        let got = build_initial_prompt(
            "",
            "You are a meeting notes assistant.",
            &["Wren".into(), "CORBEL".into()],
        );
        assert_eq!(
            got.as_deref(),
            Some("You are a meeting notes assistant. Vocabulary: Wren, CORBEL."),
        );
    }

    #[test]
    fn terms_only_produces_vocabulary_sentence() {
        let got = build_initial_prompt("", "", &["Wren".into(), "CORBEL".into()]);
        assert_eq!(got.as_deref(), Some("Vocabulary: Wren, CORBEL."));
    }

    #[test]
    fn profile_prompt_alone_is_passed_through() {
        let got = build_initial_prompt("", "Be concise.", &[]);
        assert_eq!(got.as_deref(), Some("Be concise."));
    }

    #[test]
    fn all_empty_returns_none() {
        assert_eq!(build_initial_prompt("", "", &[]), None);
    }

    #[test]
    fn whitespace_only_terms_are_skipped() {
        let got = build_initial_prompt("", "", &["  ".into(), "Wren".into(), "".into()]);
        assert_eq!(got.as_deref(), Some("Vocabulary: Wren."));
    }
}