velesdb-mobile 5.2.0

// Mobile SDK - pedantic/nursery lints relaxed for UniFFI FFI boundary
#![allow(clippy::pedantic)]
#![allow(clippy::nursery)]
#![allow(clippy::needless_pass_by_value)]
// FFI boundary - pedantic lints relaxed for UniFFI compatibility
#![allow(clippy::missing_errors_doc)]
#![allow(clippy::missing_panics_doc)]
#![allow(clippy::must_use_candidate)]
#![allow(clippy::uninlined_format_args)]
#![allow(clippy::similar_names)]
#![allow(clippy::module_name_repetitions)]
#![allow(clippy::doc_markdown)]
#![allow(clippy::wildcard_imports)]
#![allow(clippy::redundant_closure_for_method_calls)]

//! VelesDB Mobile - Native bindings for iOS and Android
//!
//! This crate provides UniFFI bindings for VelesDB, enabling native integration
//! with Swift (iOS) and Kotlin (Android) applications.
//!
//! # Architecture
//!
//! - **iOS**: Generates Swift bindings + XCFramework (arm64 device, arm64/x86_64 simulator)
//! - **Android**: Generates Kotlin bindings + AAR (arm64-v8a, armeabi-v7a, x86_64)
//!
//! # Build Commands
//!
//! ```bash
//! # iOS - build for device and simulator
//! cargo build --release --target aarch64-apple-ios
//! cargo build --release --target aarch64-apple-ios-sim
//! cargo build --release --target x86_64-apple-ios  # Intel simulator
//!
//! # iOS - create universal binary + XCFramework
//! lipo -create \
//!   target/aarch64-apple-ios-sim/release/libvelesdb_mobile.a \
//!   target/x86_64-apple-ios/release/libvelesdb_mobile.a \
//!   -output target/universal-sim/libvelesdb_mobile.a
//! xcodebuild -create-xcframework \
//!   -library target/aarch64-apple-ios/release/libvelesdb_mobile.a \
//!   -library target/universal-sim/libvelesdb_mobile.a \
//!   -output VelesDB.xcframework
//!
//! # Android (requires cargo-ndk: cargo install cargo-ndk)
//! cargo ndk -t arm64-v8a -t armeabi-v7a -t x86_64 build --release
//! ```

uniffi::setup_scaffolding!();

mod agent;
mod collection;
mod collection_sparse;
mod graph;
mod observer;
mod query;
mod streaming_runtime;
mod types;

pub use agent::{SemanticResult, VelesSemanticMemory};
pub use collection::VelesCollection;
pub use graph::{MobileGraphEdge, MobileGraphNode, MobileGraphStore, TraversalResult};
pub use observer::{
    MobileAccessDecision, MobileObserver, MobileQueryContext, MobileQueryOperationKind,
};
pub use query::{QueryResult, QueryResultKind, QueryResultRow};
pub use types::{
    DistanceMetric, FusionStrategy, IndividualSearchRequest, MobileAdvancedConfig,
    MobileAsyncIndexBuilderConfig, MobileCollectionDiagnostics, MobileCollectionStats,
    MobileDeferredIndexerConfig, MobileIndexInfo, MobileQueryLimits, MobileStreamingConfig,
    PqTrainConfig, SearchQuality, SearchResult, StorageMode, VelesError, VelesPoint,
    VelesSparseVector,
};

use std::sync::Arc;
use velesdb_core::{Database as CoreDatabase, DatabaseObserver};

use crate::observer::ForeignObserver;

#[cfg(test)]
use velesdb_core::DistanceMetric as CoreDistanceMetric;
#[cfg(test)]
use velesdb_core::FusionStrategy as CoreFusionStrategy;
#[cfg(test)]
use velesdb_core::SearchQuality as CoreSearchQuality;

// NOTE: VelesError, DistanceMetric, StorageMode, FusionStrategy, SearchResult,
// VelesPoint, IndividualSearchRequest moved to types.rs (EPIC-061/US-005 refactoring)
// NOTE: VelesCollection moved to collection.rs (NLOC/CC resolution)

// ============================================================================
// Engine config loading (issue #1549, mobile surface)
// ============================================================================

/// Maps a [`velesdb_core::config::ConfigError`] to the FFI [`VelesError`].
///
/// UniFFI errors are flat records (no `#[source]` chain survives the FFI
/// boundary), so the `ConfigError` is preserved the closest way the surface
/// allows: routed through [`velesdb_core::Error::Config`] so the mobile error
/// carries the canonical `VELES-009` taxonomy code, core's recoverability
/// flag, and the full underlying `ConfigError` message.
fn config_error(err: velesdb_core::config::ConfigError) -> VelesError {
    velesdb_core::Error::Config(err.to_string()).into()
}

/// Loads a [`velesdb_core::config::VelesConfig`] from a TOML file, engine
/// sections only. Fail-fast: a missing/unreadable/invalid file is an
/// immediate typed error, never a silent fallback to defaults.
fn load_engine_config_from_path(
    config_path: &str,
) -> Result<velesdb_core::config::VelesConfig, VelesError> {
    velesdb_core::config::VelesConfig::load_from_path_engine_only(config_path).map_err(config_error)
}

/// Parses a [`velesdb_core::config::VelesConfig`] from an in-memory TOML
/// string, engine sections only. Same fail-fast semantics as
/// [`load_engine_config_from_path`].
fn load_engine_config_from_toml(
    config_toml: &str,
) -> Result<velesdb_core::config::VelesConfig, VelesError> {
    velesdb_core::config::VelesConfig::from_toml_engine_only(config_toml).map_err(config_error)
}

// ============================================================================
// Database
// ============================================================================

/// VelesDB database instance.
///
/// Thread-safe handle to a VelesDB database. Can be shared across threads.
#[derive(uniffi::Object)]
pub struct VelesDatabase {
    /// Shared handle to the core database. Held behind an `Arc` so each
    /// [`VelesCollection`] minted from it can carry a clone and route its reads
    /// back through this database's control-plane gate (`gated_search` /
    /// `authorize_read`) rather than hitting its detached collection leaf
    /// directly — the read gate that observer governance depends on
    /// (audit F-5.4, #1392).
    inner: Arc<CoreDatabase>,
}

#[uniffi::export]
impl VelesDatabase {
    /// Opens or creates a database at the specified path.
    ///
    /// # Arguments
    ///
    /// * `path` - Path to the database directory (will be created if needed)
    ///
    /// # Errors
    ///
    /// Returns an error if the path is invalid or cannot be accessed.
    #[uniffi::constructor]
    pub fn open(path: String) -> Result<Arc<Self>, VelesError> {
        let db = CoreDatabase::open(&path)?;
        Ok(Arc::new(Self {
            inner: Arc::new(db),
        }))
    }

    /// Opens or creates a database with a read-path [`MobileObserver`] attached.
    ///
    /// The observer is consulted before every governed read (dense / text /
    /// hybrid / sparse / multi-query search and `VelesQL` `SELECT` / `MATCH`):
    /// returning [`MobileAccessDecision::Deny`] aborts the read with that
    /// message and zero results, [`MobileAccessDecision::Allow`] runs it
    /// unmodified. This is the mobile counterpart of the observer gate already
    /// wired on server and Python (audit F-5.4, #1392).
    ///
    /// # Arguments
    ///
    /// * `path` - Path to the database directory (will be created if needed)
    /// * `observer` - A Kotlin/Swift implementation of [`MobileObserver`]
    ///
    /// # Errors
    ///
    /// Returns an error if the path is invalid or cannot be accessed.
    #[uniffi::constructor]
    pub fn open_with_observer(
        path: String,
        observer: Arc<dyn MobileObserver>,
    ) -> Result<Arc<Self>, VelesError> {
        let core_observer: Arc<dyn DatabaseObserver> = Arc::new(ForeignObserver::new(observer));
        let db = CoreDatabase::open_with_observer(&path, core_observer)?;
        Ok(Arc::new(Self {
            inner: Arc::new(db),
        }))
    }

    /// Opens or creates a database configured from a TOML file on disk.
    ///
    /// The file is parsed with
    /// [`VelesConfig::load_from_path_engine_only`](velesdb_core::config::VelesConfig::load_from_path_engine_only):
    /// only the engine sections (`[search]`/`[hnsw]`/`[storage]`/`[limits]`/
    /// `[quantization]`/`[wal_batch]`) are considered, any other top-level
    /// table is dropped, and `VELESDB_*` environment variables still layer on
    /// top of the filtered file. The database is then opened with
    /// [`Database::open_with_config`](velesdb_core::Database::open_with_config),
    /// so every subsystem honours the loaded values instead of core defaults.
    ///
    /// This is the mobile counterpart of the server/CLI `--config` wiring
    /// (issue #1549). If the app ships its config as an in-memory string
    /// (bundled asset, remote config), use
    /// [`open_with_config_toml`](Self::open_with_config_toml) instead.
    ///
    /// # Arguments
    ///
    /// * `path` - Path to the database directory (will be created if needed)
    /// * `config_path` - Path to an existing TOML configuration file
    ///
    /// # Errors
    ///
    /// Fails fast — never falls back to defaults silently — if the config
    /// file is missing, unreadable, not valid TOML, or fails validation
    /// (typed as a `VELES-009` configuration error), or if the database path
    /// is invalid or cannot be accessed.
    #[uniffi::constructor]
    pub fn open_with_config(path: String, config_path: String) -> Result<Arc<Self>, VelesError> {
        let config = load_engine_config_from_path(&config_path)?;
        let db = CoreDatabase::open_with_config(&path, config)?;
        Ok(Arc::new(Self {
            inner: Arc::new(db),
        }))
    }

    /// Opens or creates a database configured from an in-memory TOML string.
    ///
    /// Same semantics as [`open_with_config`](Self::open_with_config) but the
    /// TOML is passed directly (parsed with
    /// [`VelesConfig::from_toml_engine_only`](velesdb_core::config::VelesConfig::from_toml_engine_only),
    /// no environment-variable layer) — the most portable option on mobile,
    /// where config often lives in a bundled asset or remote-config payload
    /// rather than a standalone file.
    ///
    /// # Arguments
    ///
    /// * `path` - Path to the database directory (will be created if needed)
    /// * `config_toml` - TOML configuration string (engine sections only)
    ///
    /// # Errors
    ///
    /// Fails fast — never falls back to defaults silently — if `config_toml`
    /// is not valid TOML or fails validation (typed as a `VELES-009`
    /// configuration error), or if the database path is invalid or cannot be
    /// accessed.
    #[uniffi::constructor]
    pub fn open_with_config_toml(
        path: String,
        config_toml: String,
    ) -> Result<Arc<Self>, VelesError> {
        let config = load_engine_config_from_toml(&config_toml)?;
        let db = CoreDatabase::open_with_config(&path, config)?;
        Ok(Arc::new(Self {
            inner: Arc::new(db),
        }))
    }

    /// Opens or creates a database with both a read-path [`MobileObserver`]
    /// and a TOML configuration file.
    ///
    /// Combines [`open_with_observer`](Self::open_with_observer) (read gate)
    /// and [`open_with_config`](Self::open_with_config) (engine config) on a
    /// single handle via
    /// [`Database::open_with_observer_and_config`](velesdb_core::Database::open_with_observer_and_config).
    ///
    /// # Arguments
    ///
    /// * `path` - Path to the database directory (will be created if needed)
    /// * `observer` - A Kotlin/Swift implementation of [`MobileObserver`]
    /// * `config_path` - Path to an existing TOML configuration file
    ///
    /// # Errors
    ///
    /// Same fail-fast semantics as [`open_with_config`](Self::open_with_config).
    #[uniffi::constructor]
    pub fn open_with_observer_and_config(
        path: String,
        observer: Arc<dyn MobileObserver>,
        config_path: String,
    ) -> Result<Arc<Self>, VelesError> {
        let config = load_engine_config_from_path(&config_path)?;
        let core_observer: Arc<dyn DatabaseObserver> = Arc::new(ForeignObserver::new(observer));
        let db = CoreDatabase::open_with_observer_and_config(&path, core_observer, config)?;
        Ok(Arc::new(Self {
            inner: Arc::new(db),
        }))
    }

    /// Opens or creates a database with both a read-path [`MobileObserver`]
    /// and an in-memory TOML configuration string.
    ///
    /// Combines [`open_with_observer`](Self::open_with_observer) (read gate)
    /// and [`open_with_config_toml`](Self::open_with_config_toml) (engine
    /// config) on a single handle.
    ///
    /// # Arguments
    ///
    /// * `path` - Path to the database directory (will be created if needed)
    /// * `observer` - A Kotlin/Swift implementation of [`MobileObserver`]
    /// * `config_toml` - TOML configuration string (engine sections only)
    ///
    /// # Errors
    ///
    /// Same fail-fast semantics as
    /// [`open_with_config_toml`](Self::open_with_config_toml).
    #[uniffi::constructor]
    pub fn open_with_observer_and_config_toml(
        path: String,
        observer: Arc<dyn MobileObserver>,
        config_toml: String,
    ) -> Result<Arc<Self>, VelesError> {
        let config = load_engine_config_from_toml(&config_toml)?;
        let core_observer: Arc<dyn DatabaseObserver> = Arc::new(ForeignObserver::new(observer));
        let db = CoreDatabase::open_with_observer_and_config(&path, core_observer, config)?;
        Ok(Arc::new(Self {
            inner: Arc::new(db),
        }))
    }

    /// Updates query guardrail limits for every collection in this database.
    ///
    /// This is a full replacement: all fields of `limits` are applied.
    pub fn update_guardrails(&self, limits: MobileQueryLimits) {
        self.inner.update_guardrails(&limits.into());
    }

    /// Creates a new collection with the specified parameters.
    ///
    /// # Arguments
    ///
    /// * `name` - Unique name for the collection
    /// * `dimension` - Vector dimension (e.g., 384, 768, 1536)
    /// * `metric` - Distance metric for similarity calculations
    pub fn create_collection(
        &self,
        name: String,
        dimension: u32,
        metric: DistanceMetric,
    ) -> Result<(), VelesError> {
        self.inner.create_collection(
            &name,
            usize::try_from(dimension).unwrap_or(usize::MAX),
            metric.into(),
        )?;
        Ok(())
    }

    /// Creates a new collection with custom storage mode for IoT/Edge devices.
    ///
    /// # Arguments
    ///
    /// * `name` - Unique name for the collection
    /// * `dimension` - Vector dimension
    /// * `metric` - Distance metric
    /// * `storage_mode` - Storage optimization (see [`StorageMode`])
    ///
    /// # Storage Modes
    ///
    /// - **Full**: Best recall, 4 bytes/dimension
    /// - **Sq8**: 4x compression, ~1% recall loss (recommended for mobile)
    /// - **Binary**: 32x compression, ~5-10% recall loss (for extreme constraints)
    /// - **`ProductQuantization`**: 8x-16x compression via trained codebooks
    ///   (requires a training step before upserts)
    /// - **`Rabitq`**: 32x compression with ~1-2% recall loss (1-bit with
    ///   rotation + scalar correction)
    pub fn create_collection_with_storage(
        &self,
        name: String,
        dimension: u32,
        metric: DistanceMetric,
        storage_mode: StorageMode,
    ) -> Result<(), VelesError> {
        self.inner.create_vector_collection_with_options(
            &name,
            usize::try_from(dimension).unwrap_or(usize::MAX),
            metric.into(),
            storage_mode.into(),
        )?;
        Ok(())
    }

    /// Creates a metadata-only collection (no vectors).
    ///
    /// Useful for storing reference data, lookups, or auxiliary information
    /// that doesn't require vector similarity search.
    ///
    /// # Arguments
    ///
    /// * `name` - Unique name for the collection
    pub fn create_metadata_collection(&self, name: String) -> Result<(), VelesError> {
        self.inner.create_metadata_collection(&name)?;
        Ok(())
    }

    /// Creates a graph collection for knowledge graph workloads.
    ///
    /// Creates a schemaless graph collection (no node embeddings).
    /// For graph collections with node embeddings, use
    /// [`create_graph_collection_with_embeddings`](Self::create_graph_collection_with_embeddings).
    ///
    /// # Arguments
    ///
    /// * `name` - Unique name for the collection
    pub fn create_graph_collection(&self, name: String) -> Result<(), VelesError> {
        self.inner
            .create_graph_collection(&name, velesdb_core::GraphSchema::schemaless())?;
        Ok(())
    }

    /// Creates a graph collection with node embeddings.
    ///
    /// Nodes in this collection can store vector embeddings and support
    /// similarity search alongside graph traversal.
    ///
    /// # Arguments
    ///
    /// * `name` - Unique name for the collection
    /// * `dimension` - Vector dimension for node embeddings
    /// * `metric` - Distance metric for similarity calculations
    pub fn create_graph_collection_with_embeddings(
        &self,
        name: String,
        dimension: u32,
        metric: DistanceMetric,
    ) -> Result<(), VelesError> {
        self.inner.create_graph_collection_with_embeddings(
            &name,
            velesdb_core::GraphSchema::schemaless(),
            usize::try_from(dimension).unwrap_or(usize::MAX),
            metric.into(),
        )?;
        Ok(())
    }

    /// Gets a vector collection by name.
    ///
    /// Returns `None` if the collection does not exist.
    /// Returns an error if the collection exists but is not a vector collection.
    /// Graph collections are queried through [`execute_query`](Self::execute_query)
    /// (VelesQL); metadata collections are not retrievable through this accessor.
    pub fn get_collection(&self, name: String) -> Result<Option<Arc<VelesCollection>>, VelesError> {
        match self.inner.get_any_collection(&name) {
            Some(any_coll) => match any_coll.into_vector() {
                Ok(vc) => Ok(Some(Arc::new(VelesCollection {
                    inner: vc,
                    db: self.inner.clone(),
                    name,
                }))),
                Err(_other_variant) => Err(VelesError::Collection {
                    message: format!(
                        "Collection '{name}' is not a vector collection. \
                         Query graph collections through execute_query() (VelesQL)."
                    ),
                }),
            },
            None => Ok(None),
        }
    }

    /// Lists all collection names.
    pub fn list_collections(&self) -> Vec<String> {
        self.inner.list_collections()
    }

    /// Deletes a collection by name.
    pub fn delete_collection(&self, name: String) -> Result<(), VelesError> {
        self.inner.delete_collection(&name)?;
        Ok(())
    }

    /// Trains a Product Quantizer on a collection.
    ///
    /// PQ training is a database-level operation that requires access to the
    /// VelesQL TRAIN executor.
    ///
    /// # Arguments
    ///
    /// * `collection_name` - Name of the collection to train PQ on
    /// * `config` - PQ training configuration
    ///
    /// # Returns
    ///
    /// Status message from the training process.
    pub fn train_pq(
        &self,
        collection_name: String,
        config: PqTrainConfig,
    ) -> Result<String, VelesError> {
        use std::collections::HashMap;
        use velesdb_core::velesql::{Query, TrainStatement, WithValue};

        let mut params = HashMap::new();
        params.insert("m".to_string(), WithValue::Integer(i64::from(config.m)));
        params.insert("k".to_string(), WithValue::Integer(i64::from(config.k)));
        if config.opq {
            params.insert("type".to_string(), WithValue::Identifier("opq".to_string()));
        }

        let query = Query::new_train(TrainStatement {
            collection: collection_name,
            params,
        });

        let empty_params = HashMap::new();
        self.inner
            .execute_query(&query, &empty_params)
            .map_err(|e| VelesError::database(format!("PQ training failed: {e}")))?;

        Ok("PQ training complete".to_string())
    }

    /// Executes an arbitrary VelesQL query and returns structured results.
    ///
    /// This is the primary entry point for mobile apps to run the full
    /// VelesQL surface: SELECT, INSERT, UPDATE, DELETE, MATCH, DDL
    /// (CREATE/DROP/ALTER/TRUNCATE), TRAIN QUANTIZER, SHOW, DESCRIBE,
    /// EXPLAIN, ANALYZE, and FLUSH.
    ///
    /// # Arguments
    ///
    /// * `sql` - VelesQL query string
    /// * `params_json` - Optional JSON object with query parameters
    ///   (keys are bare names; use `$name` syntax in SQL).
    ///   Pass `None` or `"{}"` when no parameters are needed.
    ///
    /// # Returns
    ///
    /// A [`QueryResult`] containing the result kind, rows (as JSON strings),
    /// row count, and a human-readable status message.
    ///
    /// # Example (Swift)
    ///
    /// ```swift
    /// let result = try db.executeQuery(
    ///     sql: "SELECT * FROM docs LIMIT 10",
    ///     paramsJson: nil
    /// )
    /// for row in result.rows {
    ///     let json = try JSONSerialization.jsonObject(with: row.dataJson.data(using: .utf8)!)
    ///     print(json)
    /// }
    /// ```
    pub fn execute_query(
        &self,
        sql: String,
        params_json: Option<String>,
    ) -> Result<QueryResult, VelesError> {
        let parsed = velesdb_core::velesql::Parser::parse(&sql)
            .map_err(|e| VelesError::database(format!("VelesQL parse error: {}", e.message)))?;

        let params = query::parse_params(params_json)?;
        let kind = query::classify_query(&parsed);

        let core_results = self
            .inner
            .execute_query(&parsed, &params)
            .map_err(|e| VelesError::database(format!("Query execution failed: {e}")))?;

        let rows: Result<Vec<QueryResultRow>, VelesError> =
            core_results.iter().map(query::to_result_row).collect();
        let rows = rows?;

        #[allow(clippy::cast_possible_truncation)]
        // Reason: row count from a single query will not exceed u32::MAX.
        let row_count = rows.len() as u32;
        let message = query::build_message(&kind, row_count);

        Ok(QueryResult {
            kind,
            rows,
            row_count,
            message,
        })
    }
}

// ============================================================================
// Tests
// ============================================================================

#[cfg(test)]
#[path = "lib_tests.rs"]
mod tests;