sqlite_graphrag/

cli.rs

//! CLI argument structs and command surface (clap-based).
//!
//! Defines `Cli` and all subcommand enums; contains no business logic.

use crate::commands::*;
use crate::i18n::{current, Language};
use clap::{Parser, Subcommand};

/// Returns the maximum simultaneous invocations allowed by the CPU heuristic.
fn max_concurrency_ceiling() -> usize {
    std::thread::available_parallelism()
        .map(|n| n.get() * 2)
        .unwrap_or(8)
}

#[derive(Copy, Clone, Debug, PartialEq, Eq, clap::ValueEnum)]
pub enum GraphExportFormat {
    Json,
    Dot,
    Mermaid,
    /// Stream one JSON object per entity, then one per edge, then a summary line.
    Ndjson,
}

/// v1.0.82 (GAP-003): backend LLM para embedding. Aceita `auto` (default —
/// detecta `codex` ou `claude` no PATH), `codex` (força codex exec), `claude`
/// (força claude -p), ou `none` (skip-a embedding; útil para testes).
#[derive(Copy, Clone, Debug, PartialEq, Eq, clap::ValueEnum)]
pub enum LlmBackendChoice {
    Auto,
    Claude,
    Codex,
    None,
}

impl LlmBackendChoice {
    /// v1.0.82 (GAP-003): converte a escolha do CLI em uma chain ordenada
    /// de backends que `embedder::embed_with_fallback` itera. O primeiro
    /// elemento da chain é o backend preferido; elementos subsequentes
    /// são fallbacks quando o preferido falha com `LlmBackendError`.
    ///
    /// `Auto` produz `[Codex, Claude, None]` — codex é o default da v1.0.76+,
    /// claude é o fallback se codex falhar (OAuth contention, quota), e
    /// `None` permite `embed_with_fallback` retornar vetor vazio quando
    /// `skip_on_failure` está ativo.
    pub fn to_chain(self) -> Vec<crate::embedder::LlmBackendKind> {
        use crate::embedder::LlmBackendKind;
        match self {
            LlmBackendChoice::Codex => vec![LlmBackendKind::Codex, LlmBackendKind::None],
            LlmBackendChoice::Claude => vec![LlmBackendKind::Claude, LlmBackendKind::None],
            LlmBackendChoice::None => vec![LlmBackendKind::None],
            LlmBackendChoice::Auto => vec![
                LlmBackendKind::Codex,
                LlmBackendKind::Claude,
                LlmBackendKind::None,
            ],
        }
    }
}

#[derive(Parser)]
#[command(name = "sqlite-graphrag")]
#[command(version)]
#[command(about = "Local GraphRAG memory for LLMs in a single SQLite file")]
#[command(arg_required_else_help = true)]
pub struct Cli {
    /// Maximum number of simultaneous CLI invocations allowed (default: 4).
    ///
    /// Caps the counting semaphore used for CLI concurrency slots. The value must
    /// stay within [1, 2×nCPUs]. Values above the ceiling are rejected with exit 2.
    #[arg(long, global = true, value_name = "N")]
    pub max_concurrency: Option<usize>,

    /// Wait up to SECONDS for a free concurrency slot before giving up (exit 75).
    ///
    /// Useful in retrying agent pipelines: the process polls every 500 ms until a
    /// slot opens or the timeout expires. Default: 300s (5 minutes).
    #[arg(long, global = true, value_name = "SECONDS")]
    pub wait_lock: Option<u64>,

    /// Skip the available-memory check before loading the model.
    ///
    /// Exclusive use in automated tests where real allocation does not occur.
    #[arg(long, global = true, hide = true, default_value_t = false)]
    pub skip_memory_guard: bool,

    /// v1.0.83 (ADR-0041): strict env-clear mode for compliance environments.
    ///
    /// When enabled, the LLM subprocess receives ONLY `PATH` — no
    /// `ANTHROPIC_AUTH_TOKEN`, `ANTHROPIC_BASE_URL`, `OPENAI_BASE_URL`
    /// or other custom-provider credentials are forwarded. Defaults to
    /// the standard v1.0.83 whitelist that preserves custom-provider
    /// credentials (ADR-0041). Honors env var
    /// `SQLITE_GRAPHRAG_STRICT_ENV_CLEAR=1` when set.
    #[arg(
        long,
        global = true,
        hide = true,
        default_value_t = false,
        env = "SQLITE_GRAPHRAG_STRICT_ENV_CLEAR"
    )]
    pub strict_env_clear: bool,

    /// v1.0.84 (ADR-0042 / GAP-002): resolve and print the LLM backend that
    /// WOULD be invoked for embedding (binary path + model + flavour),
    /// then exit 0 without executing the subprocess. Useful for CI
    /// audit and sanity-check of `--llm-backend` before long sessions.
    ///
    /// Honors env var `SQLITE_GRAPHRAG_DRY_RUN_BACKEND=1` when set.
    #[arg(
        long,
        global = true,
        hide = true,
        default_value_t = false,
        env = "SQLITE_GRAPHRAG_DRY_RUN_BACKEND"
    )]
    pub dry_run_backend: bool,

    /// Language for human-facing stderr messages. Accepts `en` or `pt`.
    ///
    /// Without the flag, detection falls back to `SQLITE_GRAPHRAG_LANG` and then
    /// `LC_ALL`/`LANG`. JSON stdout stays deterministic and identical across
    /// languages; only human-facing strings are affected.
    #[arg(long, global = true, value_enum, value_name = "LANG")]
    pub lang: Option<crate::i18n::Language>,

    /// Time zone for `*_iso` fields in JSON output (for example `America/Sao_Paulo`).
    ///
    /// Accepts any IANA time zone name. Without the flag, it falls back to
    /// `SQLITE_GRAPHRAG_DISPLAY_TZ`; if unset, UTC is used. Integer epoch fields
    /// are not affected.
    #[arg(long, global = true, value_name = "IANA")]
    pub tz: Option<chrono_tz::Tz>,

    /// Increase logging verbosity (-v=info, -vv=debug, -vvv=trace).
    ///
    /// Overrides `SQLITE_GRAPHRAG_LOG_LEVEL` env var when present. Logs are emitted
    /// to stderr; JSON stdout is unaffected.
    #[arg(short = 'v', long, global = true, action = clap::ArgAction::Count)]
    pub verbose: u8,

    /// v1.0.75 (G21 solution): extraction backend selector. Accepts
    /// `llm` (default), `embedding` (legacy), `none`, or `both` (composite).
    /// The `llm` backend invokes claude code / codex CLI headless to extract
    /// entities and relationships; `embedding` is a permanent stub since
    /// v1.0.79 (legacy fastembed pipeline removed) that returns a clear
    /// migration error.
    #[arg(long, global = true, value_name = "KIND", default_value = "llm")]
    pub extraction_backend: Option<String>,

    /// v1.0.79 (G42/S1): embedding dimensionality override (default 64).
    ///
    /// Precedence: this flag > `SQLITE_GRAPHRAG_EMBEDDING_DIM` env var >
    /// the `dim` recorded in the database `schema_meta` > 64. Existing
    /// databases keep their recorded dimensionality automatically; use
    /// this flag only to migrate a corpus to a new dimensionality
    /// (followed by `enrich --operation re-embed`). Range: [8, 4096].
    #[arg(long, global = true, value_name = "N", value_parser = clap::value_parser!(u64).range(8..=4096))]
    pub embedding_dim: Option<u64>,

    /// v1.0.82 (GAP-003) / v1.0.84 (ADR-0042): backend LLM para embedding.
    /// Aceita `auto` (detecta via PATH, codex-first), `codex` (força
    /// `codex exec`), `claude` (força `claude -p`; desde v1.0.84 NÃO cai em
    /// codex — emite `AppError::Validation` se `claude` ausente), ou `none`
    /// (skip-a embedding; útil para testes). Honra env var
    /// `SQLITE_GRAPHRAG_LLM_BACKEND`.
    #[arg(long, global = true, value_enum, default_value_t = LlmBackendChoice::Auto, env = "SQLITE_GRAPHRAG_LLM_BACKEND")]
    pub llm_backend: LlmBackendChoice,

    /// v1.0.82 (GAP-003): modelo a invocar no backend escolhido.
    /// Honra env var `SQLITE_GRAPHRAG_LLM_MODEL`. Default depende
    /// do backend (codex: `gpt-5.5`; claude: `claude-sonnet-4-6`).
    #[arg(
        long,
        global = true,
        value_name = "MODEL",
        env = "SQLITE_GRAPHRAG_LLM_MODEL"
    )]
    pub llm_model: Option<String>,

    /// v1.0.82 (GAP-003): path para o binário `claude` (override de
    /// detecção via PATH). Honra env var `SQLITE_GRAPHRAG_CLAUDE_BINARY`.
    #[arg(
        long,
        global = true,
        value_name = "PATH",
        env = "SQLITE_GRAPHRAG_CLAUDE_BINARY"
    )]
    pub claude_binary: Option<std::path::PathBuf>,

    /// v1.0.82 (GAP-005): cadeia de backends LLM tentados em ordem
    /// quando o primário falha. Default `codex,claude,none`. Honra
    /// env var `SQLITE_GRAPHRAG_LLM_FALLBACK`.
    #[arg(
        long,
        global = true,
        default_value = "codex,claude,none",
        env = "SQLITE_GRAPHRAG_LLM_FALLBACK"
    )]
    pub llm_fallback: String,

    /// v1.0.82 (GAP-005): persiste com embedding NULL quando todos
    /// os backends da cadeia falham. Memória fica em `pending_embeddings`
    /// para reprocessamento via `embedding retry`. Honra env var
    /// `SQLITE_GRAPHRAG_SKIP_EMBEDDING_ON_FAILURE`.
    #[arg(
        long,
        global = true,
        default_value_t = false,
        env = "SQLITE_GRAPHRAG_SKIP_EMBEDDING_ON_FAILURE"
    )]
    pub skip_embedding_on_failure: bool,

    /// v1.0.82 (GAP-004): limite host-wide de subprocessos LLM
    /// simultâneos. Default derivado de `ncpus`. Honra env var
    /// `SQLITE_GRAPHRAG_LLM_MAX_HOST_CONCURRENCY`.
    #[arg(
        long,
        global = true,
        value_name = "N",
        env = "SQLITE_GRAPHRAG_LLM_MAX_HOST_CONCURRENCY"
    )]
    pub llm_max_host_concurrency: Option<u32>,

    /// v1.0.82 (GAP-004): segundos para aguardar slot LLM livre
    /// antes de falhar com exit 75. Default 30s. Honra env var
    /// `SQLITE_GRAPHRAG_LLM_SLOT_WAIT_SECS`.
    #[arg(
        long,
        global = true,
        value_name = "SECONDS",
        env = "SQLITE_GRAPHRAG_LLM_SLOT_WAIT_SECS"
    )]
    pub llm_slot_wait_secs: Option<u64>,

    /// v1.0.82 (GAP-004): se setado, falha imediatamente (exit 75)
    /// quando nenhum slot LLM está livre. Honra env var
    /// `SQLITE_GRAPHRAG_LLM_SLOT_NO_WAIT`.
    #[arg(
        long,
        global = true,
        default_value_t = false,
        env = "SQLITE_GRAPHRAG_LLM_SLOT_NO_WAIT"
    )]
    pub llm_slot_no_wait: bool,

    #[command(subcommand)]
    pub command: Option<Commands>,
}

#[cfg(test)]
mod json_only_format_tests {
    use super::Cli;
    use clap::Parser;

    #[test]
    fn restore_accepts_only_format_json() {
        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "restore",
            "--name",
            "mem",
            "--version",
            "1",
            "--format",
            "json",
        ])
        .is_ok());

        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "restore",
            "--name",
            "mem",
            "--version",
            "1",
            "--format",
            "text",
        ])
        .is_err());
    }

    #[test]
    fn hybrid_search_accepts_only_format_json() {
        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "hybrid-search",
            "query",
            "--format",
            "json",
        ])
        .is_ok());

        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "hybrid-search",
            "query",
            "--format",
            "markdown",
        ])
        .is_err());
    }

    #[test]
    fn remember_recall_rename_vacuum_json_only() {
        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "remember",
            "--name",
            "mem",
            "--type",
            "project",
            "--description",
            "desc",
            "--format",
            "json",
        ])
        .is_ok());
        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "remember",
            "--name",
            "mem",
            "--type",
            "project",
            "--description",
            "desc",
            "--format",
            "text",
        ])
        .is_err());

        assert!(
            Cli::try_parse_from(["sqlite-graphrag", "recall", "query", "--format", "json",])
                .is_ok()
        );
        assert!(
            Cli::try_parse_from(["sqlite-graphrag", "recall", "query", "--format", "text",])
                .is_err()
        );

        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "rename",
            "--name",
            "old",
            "--new-name",
            "new",
            "--format",
            "json",
        ])
        .is_ok());
        assert!(Cli::try_parse_from([
            "sqlite-graphrag",
            "rename",
            "--name",
            "old",
            "--new-name",
            "new",
            "--format",
            "markdown",
        ])
        .is_err());

        assert!(Cli::try_parse_from(["sqlite-graphrag", "vacuum", "--format", "json",]).is_ok());
        assert!(Cli::try_parse_from(["sqlite-graphrag", "vacuum", "--format", "text",]).is_err());
    }
}

impl Cli {
    /// Validates concurrency flags and returns a localised descriptive error if invalid.
    ///
    /// Requires that `crate::i18n::init()` has already been called (happens before this
    /// function in the `main` flow). In English it emits EN messages; in Portuguese it emits PT.
    pub fn validate_flags(&self) -> Result<(), String> {
        if let Some(n) = self.max_concurrency {
            if n == 0 {
                return Err(match current() {
                    Language::English => "--max-concurrency must be >= 1".to_string(),
                    Language::Portuguese => "--max-concurrency deve ser >= 1".to_string(),
                });
            }
            let teto = max_concurrency_ceiling();
            if n > teto {
                return Err(match current() {
                    Language::English => format!(
                        "--max-concurrency {n} exceeds the ceiling of {teto} (2×nCPUs) on this system"
                    ),
                    Language::Portuguese => format!(
                        "--max-concurrency {n} excede o teto de {teto} (2×nCPUs) neste sistema"
                    ),
                });
            }
        }
        Ok(())
    }
}

impl Commands {
    /// Returns true for subcommands that load the ONNX model locally.
    pub fn is_embedding_heavy(&self) -> bool {
        matches!(
            self,
            Self::Init(_)
                | Self::Remember(_)
                | Self::RememberBatch(_)
                | Self::Recall(_)
                | Self::HybridSearch(_)
                | Self::DeepResearch(_)
        )
    }

    pub fn uses_cli_slot(&self) -> bool {
        true
    }
}

#[derive(Subcommand)]
pub enum Commands {
    /// Initialize database and download embedding model
    #[command(after_long_help = "EXAMPLES:\n  \
        # Initialize in current directory (default behavior)\n  \
        sqlite-graphrag init\n\n  \
        # Initialize at a specific path\n  \
        sqlite-graphrag init --db /path/to/graphrag.sqlite\n\n  \
        # Initialize using SQLITE_GRAPHRAG_HOME env var\n  \
        SQLITE_GRAPHRAG_HOME=/data sqlite-graphrag init\n\n\
        NOTES:\n  \
        - `init` is OPTIONAL: any subsequent CRUD command auto-initializes graphrag.sqlite if missing.\n  \
        - As a side effect, `init` warms a smoke-test embedding via the LLM-only one-shot pipeline.")]
    Init(init::InitArgs),
    /// Save a memory with optional entity graph
    #[command(after_long_help = "EXAMPLES:\n  \
        # Inline body\n  \
        sqlite-graphrag remember --name onboarding --type user --description \"intro\" --body \"hello\"\n\n  \
        # Body from file\n  \
        sqlite-graphrag remember --name doc1 --type document --description \"...\" --body-file ./README.md\n\n  \
        # Body from stdin (pipe)\n  \
        cat README.md | sqlite-graphrag remember --name doc1 --type document --description \"...\" --body-stdin\n\n  \
        # Enable automatic URL extraction (URL-regex only since v1.0.79; GLiNER removed)\n  \
        sqlite-graphrag remember --name rich --type note --description \"...\" --body \"...\" --enable-ner")]
    Remember(remember::RememberArgs),
    /// Batch-create memories from NDJSON stdin (one invocation, one slot)
    #[command(after_long_help = "EXAMPLES:\n  \
        # Batch create from NDJSON\n  \
        cat memories.ndjson | sqlite-graphrag remember-batch --force-merge --json\n\n  \
        # Atomic batch\n  \
        cat memories.ndjson | sqlite-graphrag remember-batch --transaction --json")]
    RememberBatch(remember_batch::RememberBatchArgs),
    /// Bulk-ingest every file under a directory as separate memories (NDJSON output)
    Ingest(ingest::IngestArgs),
    /// Search memories semantically
    #[command(after_long_help = "EXAMPLES:\n  \
        # Top 10 semantic matches (default)\n  \
        sqlite-graphrag recall \"agent memory\"\n\n  \
        # Top 3 only\n  \
        sqlite-graphrag recall \"agent memory\" -k 3\n\n  \
        # Search across all namespaces\n  \
        sqlite-graphrag recall \"agent memory\" --all-namespaces\n\n  \
        # Disable graph traversal (vector-only)\n  \
        sqlite-graphrag recall \"agent memory\" --no-graph")]
    Recall(recall::RecallArgs),
    /// Read a memory by exact name
    Read(read::ReadArgs),
    /// List memories with filters
    List(list::ListArgs),
    /// Soft-delete a memory
    Forget(forget::ForgetArgs),
    /// Permanently delete soft-deleted memories
    Purge(purge::PurgeArgs),
    /// Rename a memory preserving history
    Rename(rename::RenameArgs),
    /// Edit a memory's body or description
    Edit(edit::EditArgs),
    /// List all versions of a memory
    History(history::HistoryArgs),
    /// Restore a memory to a previous version
    Restore(restore::RestoreArgs),
    /// Search using hybrid vector + full-text search
    #[command(after_long_help = "EXAMPLES:\n  \
        # Hybrid search combining KNN + FTS5 BM25 with RRF\n  \
        sqlite-graphrag hybrid-search \"agent memory architecture\"\n\n  \
        # Custom weights for vector vs full-text components\n  \
        sqlite-graphrag hybrid-search \"agent\" --weight-vec 0.7 --weight-fts 0.3")]
    HybridSearch(hybrid_search::HybridSearchArgs),
    /// Show database health
    Health(health::HealthArgs),
    /// Apply pending schema migrations
    Migrate(migrate::MigrateArgs),
    /// Resolve namespace precedence for the current invocation
    NamespaceDetect(namespace_detect::NamespaceDetectArgs),
    /// Run PRAGMA optimize on the database
    Optimize(optimize::OptimizeArgs),
    /// Show database statistics
    Stats(stats::StatsArgs),
    /// Create a checkpointed copy safe for file sync
    SyncSafeCopy(sync_safe_copy::SyncSafeCopyArgs),
    /// Back up the database using the SQLite Online Backup API
    Backup(backup::BackupArgs),
    /// Run VACUUM after checkpointing the WAL
    Vacuum(vacuum::VacuumArgs),
    /// Create an explicit relationship between two entities
    Link(link::LinkArgs),
    /// Remove a specific relationship between two entities
    Unlink(unlink::UnlinkArgs),
    /// Deep parallel multi-hop GraphRAG research
    #[command(name = "deep-research")]
    DeepResearch(deep_research::DeepResearchArgs),
    /// List memories connected via the entity graph
    Related(related::RelatedArgs),
    /// Export a graph snapshot in json, dot or mermaid
    Graph(graph_export::GraphArgs),
    /// Export memories as NDJSON (one JSON line per memory, plus a summary line)
    Export(export::ExportArgs),
    /// FTS5 full-text search index management (rebuild or check)
    Fts(fts::FtsArgs),
    /// Vector index maintenance (orphan detection, purge, stats) — G39
    Vec(vec::VecArgs),
    /// List codex OAuth models accepted by ChatGPT Pro (G33).
    #[command(name = "codex-models")]
    CodexModels,
    /// Bulk-delete all relationships of a given type (e.g. mentions)
    PruneRelations(prune_relations::PruneRelationsArgs),
    /// Remove NER bindings (memory_entities rows) for an entity or all entities
    #[command(name = "prune-ner")]
    PruneNer(prune_ner::PruneNerArgs),
    /// Inspect and manage cross-process LLM slot semaphore (GAP-004, v1.0.82)
    Slots(slots::SlotsArgs),
    /// Inspect and manage the `remember` checkpoint queue (GAP-001, v1.0.82)
    Pending(pending::PendingArgs),
    /// Health and per-entry inspection of the pending-embeddings queue (GAP-005, v1.0.82)
    Embedding(embedding::EmbeddingArgs),
    /// Batch operations over the pending-embeddings queue (GAP-005, v1.0.82)
    #[command(name = "pending-embeddings")]
    PendingEmbeddings(pending_embeddings::PendingEmbeddingsArgs),
    /// Remove entities that have no memories and no relationships
    CleanupOrphans(cleanup_orphans::CleanupOrphansArgs),
    /// List entities linked to a specific memory
    MemoryEntities(memory_entities::MemoryEntitiesArgs),
    /// Manage cached resources (embedding models, etc.)
    Cache(cache::CacheArgs),
    /// Delete an entity and all its relationships from the graph
    #[command(name = "delete-entity")]
    DeleteEntity(delete_entity::DeleteEntityArgs),
    /// Reclassify one entity or a batch of entities to a new type
    Reclassify(reclassify::ReclassifyArgs),
    /// Rename an entity preserving all relationships and memory bindings
    #[command(name = "rename-entity")]
    RenameEntity(rename_entity::RenameEntityArgs),
    /// Merge multiple source entities into a single target entity
    #[command(name = "merge-entities")]
    MergeEntities(merge_entities::MergeEntitiesArgs),
    /// Enrich graph memories and entities using an LLM provider
    Enrich(enrich::EnrichArgs),
    /// Reclassify relationship types across the graph using rules or LLM judgment
    #[command(name = "reclassify-relation")]
    ReclassifyRelation(reclassify_relation::ReclassifyRelationArgs),
    /// Normalize entity names (deduplicate, kebab-case, merge near-duplicates)
    #[command(name = "normalize-entities")]
    NormalizeEntities(normalize_entities::NormalizeEntitiesArgs),
    /// Generate shell completions for Bash, Zsh, Fish, PowerShell, or Elvish
    Completions(completions::CompletionsArgs),
    #[command(name = "debug-schema", hide = true)]
    DebugSchema(debug_schema::DebugSchemaArgs),
}

#[derive(Copy, Clone, Debug, Default, clap::ValueEnum)]
pub enum MemoryType {
    User,
    Feedback,
    Project,
    Reference,
    Decision,
    Incident,
    Skill,
    #[default]
    Document,
    Note,
}

#[cfg(test)]
mod heavy_concurrency_tests {
    use super::*;

    #[test]
    fn command_heavy_detects_init_and_embeddings() {
        let init = Cli::try_parse_from(["sqlite-graphrag", "init"]).expect("parse init");
        assert!(init
            .command
            .as_ref()
            .is_some_and(|c| c.is_embedding_heavy()));

        let remember = Cli::try_parse_from([
            "sqlite-graphrag",
            "remember",
            "--name",
            "test-memory",
            "--type",
            "project",
            "--description",
            "desc",
        ])
        .expect("parse remember");
        assert!(remember
            .command
            .as_ref()
            .is_some_and(|c| c.is_embedding_heavy()));

        let recall =
            Cli::try_parse_from(["sqlite-graphrag", "recall", "query"]).expect("parse recall");
        assert!(recall
            .command
            .as_ref()
            .is_some_and(|c| c.is_embedding_heavy()));

        let hybrid = Cli::try_parse_from(["sqlite-graphrag", "hybrid-search", "query"])
            .expect("parse hybrid");
        assert!(hybrid
            .command
            .as_ref()
            .is_some_and(|c| c.is_embedding_heavy()));
    }

    #[test]
    fn command_light_does_not_mark_stats() {
        let stats = Cli::try_parse_from(["sqlite-graphrag", "stats"]).expect("parse stats");
        assert!(!stats
            .command
            .as_ref()
            .is_some_and(|c| c.is_embedding_heavy()));
    }
}

impl MemoryType {
    pub fn as_str(&self) -> &'static str {
        match self {
            Self::User => "user",
            Self::Feedback => "feedback",
            Self::Project => "project",
            Self::Reference => "reference",
            Self::Decision => "decision",
            Self::Incident => "incident",
            Self::Skill => "skill",
            Self::Document => "document",
            Self::Note => "note",
        }
    }
}