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use clap::Parser;
use quelch::ai::AiCommands;
use std::path::PathBuf;
#[derive(Parser)]
#[command(
name = "quelch",
version,
about = "Ingest data directly into Azure AI Search"
)]
pub struct Cli {
#[command(subcommand)]
pub command: Commands,
/// Config file path
#[arg(short, long, default_value = "quelch.yaml", global = true)]
pub config: PathBuf,
/// Increase verbosity (-v, -vv, -vvv)
#[arg(short, long, action = clap::ArgAction::Count, global = true)]
pub verbose: u8,
/// Suppress TUI, only log errors
#[arg(short, long, global = true)]
pub quiet: bool,
/// Output logs as JSON
#[arg(long, global = true)]
pub json: bool,
}
#[derive(clap::Subcommand)]
pub enum Commands {
/// Run a one-shot sync of all configured sources
Sync {
/// Auto-create missing indexes without prompting
#[arg(long)]
create_indexes: bool,
/// Also purge orphaned documents from indexes
#[arg(long)]
purge: bool,
},
/// Run continuous sync (polls at configured interval)
Watch {
/// Auto-create missing indexes without prompting
#[arg(long)]
create_indexes: bool,
},
/// Check and create Azure AI Search indexes needed by the config
Setup {
/// Auto-create without prompting
#[arg(short, long)]
yes: bool,
},
/// Show sync status for all sources
Status,
/// Reset sync state (force full re-sync on next run)
Reset {
/// Source name to reset (omit to reset all)
source: Option<String>,
},
/// Delete all configured indexes from Azure AI Search and clear sync state
ResetIndexes,
/// Validate config file without running
Validate,
/// Generate a starter quelch.yaml config
Init,
/// Start a local mock Jira and Confluence server for testing
Mock {
/// Port to listen on
#[arg(short, long, default_value = "9999")]
port: u16,
},
/// Search indexed data in Azure AI Search
Search {
/// The search query
query: String,
/// Search a specific index (default: search all configured indexes)
#[arg(short, long)]
index: Option<String>,
/// Maximum results per index
#[arg(short, long, default_value = "5")]
top: usize,
/// Output raw JSON instead of formatted results
#[arg(long)]
json: bool,
},
/// Manage AI embedding configuration
Ai {
#[command(subcommand)]
command: Option<AiCommands>,
},
}