cityjson-index 0.9.0

Index CityJSON datasets with a persistent SQLite sidecar
Documentation
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use std::fs::File;
use std::io::{self, BufWriter, Write};
use std::path::PathBuf;

use cityjson_index::profile;
use cityjson_index::{
    BBox, CityIndex, DatasetInspection, StorageLayout, ValidationReport, resolve_dataset,
};
use cityjson_lib::{CityModel, Error, Result};
use clap::{Args, Parser, Subcommand, ValueEnum};
use serde_json::{Map, Value};

#[derive(Debug, Parser)]
#[command(
    name = "cjindex",
    version,
    about = "Query CityJSON datasets through a persistent index",
    long_about = r#"Query CityJSON datasets through a persistent index.

cjindex is dataset-first: point it at a dataset directory and it will auto-detect the storage layout, manage a sidecar index at <DATASET_DIR>/.cityjson-index.sqlite, and expose both inspection and read commands.

Examples:
  cjindex inspect /data/3dbag
  cjindex index /data/3dbag
  cjindex get /data/3dbag --id NL.IMBAG.Pand.0503100000012869-0
  cjindex query /data/3dbag --min-x 4.4 --max-x 4.5 --min-y 51.8 --max-y 51.9
  cjindex metadata /data/3dbag
"#
)]
struct Cli {
    #[command(subcommand)]
    command: Command,
}

#[derive(Debug, Subcommand)]
enum Command {
    /// Build the index for a dataset directory.
    ///
    /// This command discovers the storage layout under the dataset root, writes
    /// the sidecar `SQLite` index, and reports any indexing errors.
    #[command(long_about = r#"Build the index for a dataset directory.

Use dataset mode to point at a dataset root directly, or use the explicit layout flags for low-level control.

Examples:
  cjindex index /data/3dbag
  cjindex index --layout feature-files --root /data/feature-files --index /tmp/cjindex.sqlite
"#)]
    Index(IndexCommand),
    /// Rebuild the index from the dataset contents.
    ///
    /// This is the same operational path as `index`, but it is named
    /// explicitly to highlight that any existing index is replaced.
    #[command(long_about = r#"Rebuild the index from the dataset contents.

This command is intended for full refreshes when the dataset has changed or the index needs to be regenerated from scratch.

Examples:
  cjindex reindex /data/3dbag
  cjindex reindex --layout cityjson --paths /data/tiles/0566.city.json /data/tiles/0599.city.json --index /tmp/cjindex.sqlite
"#)]
    Reindex(IndexCommand),
    /// Fetch a single feature by identifier.
    ///
    /// The result is written as a line-oriented `CityJSON` stream, either to
    /// stdout or to the file named by `--output`.
    #[command(long_about = r#"Fetch a single feature by identifier.

The output is a line-oriented CityJSON stream: the first record is the metadata header, and the following record is the feature as a CityJSONFeature. Use `--output` to write the stream to a file.

Examples:
  cjindex get /data/3dbag --id NL.IMBAG.Pand.0503100000012869-0
  cjindex get /data/3dbag --id NL.IMBAG.Pand.0503100000012869-0 --output /tmp/pand.cityjsonseq
"#)]
    Get(FeatureCommand),
    /// Fetch every feature that intersects a bounding box.
    ///
    /// The query is streamed lazily from the index and written as a
    /// line-oriented `CityJSON` stream.
    #[command(long_about = r#"Fetch every feature that intersects a bounding box.

The results are streamed as line-oriented CityJSON: the first record is the metadata header, and each later record is one CityJSONFeature. Use `--output` to write the stream to a file.

Examples:
  cjindex query /data/3dbag --min-x 4.4 --max-x 4.5 --min-y 51.8 --max-y 51.9
  cjindex query /data/3dbag --min-x 4.4 --max-x 4.5 --min-y 51.8 --max-y 51.9 --output /tmp/query.cityjsonseq
"#)]
    Query(QueryCommand),
    /// Print the indexed metadata JSON for the dataset.
    #[command(long_about = r#"Print the indexed metadata JSON for the dataset.

This command returns the metadata payload associated with the dataset layout, which is useful for quick inspection or piping into other tools.

Examples:
  cjindex metadata /data/3dbag
"#)]
    Metadata(IndexCommand),
    /// Show index presence, freshness, coverage, and counts for a dataset.
    #[command(
        long_about = r#"Show index presence, freshness, coverage, and counts for a dataset.

`inspect` auto-detects the storage layout under the dataset root and reports the discovered source counts, indexed counts, and whether the sidecar index is present and current.

Examples:
  cjindex inspect /data/3dbag
  cjindex inspect /data/3dbag --json
"#
    )]
    Inspect(StatusCommand),
    /// Validate that the index still matches the dataset contents.
    #[command(
        long_about = r#"Validate that the index still matches the dataset contents.

`validate` performs the same dataset inspection checks as `inspect`, but exits with a non-zero status when the index is missing, stale, or no longer matches the dataset.

Examples:
  cjindex validate /data/3dbag
  cjindex validate /data/3dbag --json
"#
    )]
    Validate(StatusCommand),
}

#[derive(Debug, Args)]
struct IndexCommand {
    /// Dataset directory or explicit layout configuration.
    #[command(flatten)]
    input: DatasetInputArgs,

    /// Write a JSON profile for the command.
    #[arg(long)]
    profile: Option<PathBuf>,
}

#[derive(Debug, Args)]
struct FeatureCommand {
    /// Dataset directory or explicit layout configuration.
    #[command(flatten)]
    input: DatasetInputArgs,

    /// Feature identifier to retrieve.
    #[arg(long)]
    id: String,

    /// Write the `CityJSON` stream to a file instead of stdout.
    #[arg(long)]
    output: Option<PathBuf>,

    /// Write a JSON profile for the command.
    #[arg(long)]
    profile: Option<PathBuf>,
}

#[derive(Debug, Args)]
struct QueryCommand {
    /// Dataset directory or explicit layout configuration.
    #[command(flatten)]
    input: DatasetInputArgs,

    /// Minimum X coordinate of the bounding box.
    #[arg(long)]
    min_x: f64,

    /// Maximum X coordinate of the bounding box.
    #[arg(long)]
    max_x: f64,

    /// Minimum Y coordinate of the bounding box.
    #[arg(long)]
    min_y: f64,

    /// Maximum Y coordinate of the bounding box.
    #[arg(long)]
    max_y: f64,

    /// Write the `CityJSON` stream to a file instead of stdout.
    #[arg(long)]
    output: Option<PathBuf>,

    /// Write a JSON profile for the command.
    #[arg(long)]
    profile: Option<PathBuf>,
}

#[derive(Debug, Args)]
struct StatusCommand {
    /// Dataset directory to inspect or validate.
    #[arg(value_name = "DATASET_DIR")]
    dataset_dir: PathBuf,

    /// Override the default sidecar index location.
    #[arg(long)]
    index: Option<PathBuf>,

    /// Emit machine-readable JSON.
    #[arg(long)]
    json: bool,

    /// Write a JSON profile for the command.
    #[arg(long)]
    profile: Option<PathBuf>,
}

#[derive(Debug, Args, Clone)]
struct DatasetInputArgs {
    /// Dataset directory to operate on.
    #[arg(value_name = "DATASET_DIR")]
    dataset_dir: Option<PathBuf>,

    /// Explicit storage layout override.
    #[command(flatten)]
    storage: StorageArgs,

    /// Override the index path for dataset or explicit layout mode.
    #[arg(long)]
    index: Option<PathBuf>,
}

#[derive(Debug, Args, Clone)]
struct StorageArgs {
    /// Storage layout to use when not auto-detecting from a dataset directory.
    #[arg(long, value_enum)]
    layout: Option<LayoutKind>,

    /// Source paths for `ndjson` and `cityjson` layouts.
    #[arg(long, value_name = "PATH", num_args = 1..)]
    paths: Vec<PathBuf>,

    /// Root directory for the `feature-files` layout.
    #[arg(long)]
    root: Option<PathBuf>,

    /// Metadata glob for the `feature-files` layout.
    #[arg(long, default_value = "**/metadata.json")]
    metadata_glob: String,

    /// Feature file glob for the `feature-files` layout.
    #[arg(long, default_value = "**/*.city.jsonl")]
    feature_glob: String,
}

#[derive(Debug, Clone, Copy, ValueEnum)]
enum LayoutKind {
    Ndjson,
    Cityjson,
    FeatureFiles,
}

impl StorageArgs {
    fn into_layout(self) -> Result<StorageLayout> {
        let layout = self
            .layout
            .ok_or_else(|| Error::Import("explicit layout mode requires --layout".to_owned()))?;
        match layout {
            LayoutKind::Ndjson => Ok(StorageLayout::Ndjson { paths: self.paths }),
            LayoutKind::Cityjson => Ok(StorageLayout::CityJson { paths: self.paths }),
            LayoutKind::FeatureFiles => {
                let root = self.root.ok_or_else(|| {
                    Error::Import("feature-files layout requires --root".to_string())
                })?;
                Ok(StorageLayout::FeatureFiles {
                    root,
                    metadata_glob: self.metadata_glob,
                    feature_glob: self.feature_glob,
                })
            }
        }
    }
}

fn main() -> Result<()> {
    let cli = Cli::parse();
    match cli.command {
        Command::Index(args) | Command::Reindex(args) => run_reindex(args),
        Command::Get(args) => run_get(args),
        Command::Query(args) => run_query(args),
        Command::Metadata(args) => run_metadata(args),
        Command::Inspect(args) => run_inspect(args),
        Command::Validate(args) => run_validate(args),
    }
}

fn run_reindex(args: IndexCommand) -> Result<()> {
    let IndexCommand { input, profile } = args;
    let initial_dataset = input.dataset_dir.clone();
    let initial_index = input.index.clone();
    let worker_count = cityjson_index::configured_worker_count()?;
    profile::run_with_profile(
        profile,
        "index",
        initial_dataset,
        initial_index,
        Some(worker_count),
        move |recorder| {
            let input = recorder.measure("argument/input resolution", || {
                resolve_operational_input(input)
            })?;
            recorder.set_dataset_path(input.dataset_path.clone());
            recorder.set_index_path(Some(input.index_path.clone()));
            let mut index = recorder.measure("sqlite open", || {
                CityIndex::open(input.storage, &input.index_path)
            })?;
            recorder.measure("scan and sqlite rebuild", || index.reindex())?;
            Ok(())
        },
    )
}

fn run_get(args: FeatureCommand) -> Result<()> {
    let FeatureCommand {
        input,
        id,
        output,
        profile,
    } = args;
    let initial_dataset = input.dataset_dir.clone();
    let initial_index = input.index.clone();
    profile::run_with_profile(
        profile,
        "get",
        initial_dataset,
        initial_index,
        None,
        move |recorder| {
            let input = recorder.measure("argument/input resolution", || {
                resolve_operational_input(input)
            })?;
            recorder.set_dataset_path(input.dataset_path.clone());
            recorder.set_index_path(Some(input.index_path.clone()));
            let index = recorder.measure("sqlite open", || {
                CityIndex::open(input.storage, &input.index_path)
            })?;
            let feature_ref = recorder
                .measure("bbox lookup or id lookup", || index.lookup_feature_ref(&id))?
                .ok_or_else(|| Error::Import(format!("feature {id} was not found")))?;
            let metadata = recorder.measure("metadata lookup/cache", || {
                index.metadata_for_source(feature_ref.source_id)
            })?;
            let _bytes = recorder.measure("feature byte read", || {
                index.read_feature_bytes(&feature_ref)
            })?;
            let model = recorder.measure("feature reconstruction", || {
                index.read_feature(&feature_ref)
            })?;
            let writer = open_writer(output)?;
            let mut writer = BufWriter::new(writer);
            recorder.measure("output serialization/write", || {
                write_model_stream(&mut writer, metadata.as_ref(), &model)
            })?;
            writer.flush()?;
            Ok(())
        },
    )
}

fn run_query(args: QueryCommand) -> Result<()> {
    let QueryCommand {
        input,
        min_x,
        max_x,
        min_y,
        max_y,
        output,
        profile,
    } = args;
    let initial_dataset = input.dataset_dir.clone();
    let initial_index = input.index.clone();
    profile::run_with_profile(
        profile,
        "query",
        initial_dataset,
        initial_index,
        None,
        move |recorder| {
            let input = recorder.measure("argument/input resolution", || {
                resolve_operational_input(input)
            })?;
            recorder.set_dataset_path(input.dataset_path.clone());
            recorder.set_index_path(Some(input.index_path.clone()));
            let index = recorder.measure("sqlite open", || {
                CityIndex::open(input.storage, &input.index_path)
            })?;
            let bbox = BBox {
                min_x,
                max_x,
                min_y,
                max_y,
            };
            let writer = open_writer(output)?;
            let mut writer = BufWriter::new(writer);
            let mut results = recorder.measure("bbox lookup or id lookup", || {
                index.query_iter_with_metadata(&bbox)
            })?;
            let mut current_metadata: Option<Value> = None;
            recorder.measure("metadata lookup/cache", || {
                if let Some(first_result) = results.next() {
                    let (metadata, model) = first_result?;
                    current_metadata = Some(metadata.as_ref().clone());
                    write_model_stream_item(&mut writer, metadata.as_ref(), &model)?;
                }
                Ok(())
            })?;
            recorder.measure("feature reconstruction", || {
                for result in results {
                    let (metadata, model) = result?;
                    if current_metadata
                        .as_ref()
                        .is_some_and(|current| current != metadata.as_ref())
                    {
                        return Err(Error::Import(
                            "query results span incompatible metadata roots".to_string(),
                        ));
                    }
                    write_feature_line(&mut writer, &model)?;
                }
                Ok(())
            })?;
            recorder.measure("output serialization/write", || {
                writer.flush()?;
                Ok(())
            })?;
            Ok(())
        },
    )
}

fn run_metadata(args: IndexCommand) -> Result<()> {
    let IndexCommand { input, profile } = args;
    let initial_dataset = input.dataset_dir.clone();
    let initial_index = input.index.clone();
    profile::run_with_profile(
        profile,
        "metadata",
        initial_dataset,
        initial_index,
        None,
        move |recorder| {
            let input = recorder.measure("argument/input resolution", || {
                resolve_operational_input(input)
            })?;
            recorder.set_dataset_path(input.dataset_path.clone());
            recorder.set_index_path(Some(input.index_path.clone()));
            let index = recorder.measure("sqlite open", || {
                CityIndex::open(input.storage, &input.index_path)
            })?;
            let metadata = recorder.measure("metadata lookup/cache", || index.metadata())?;
            let borrowed_metadata = metadata
                .iter()
                .map(std::convert::AsRef::as_ref)
                .collect::<Vec<_>>();
            let mut writer = BufWriter::new(io::stdout());
            recorder.measure("output serialization/write", || {
                serde_json::to_writer(&mut writer, &borrowed_metadata)
                    .map_err(|error| Error::Import(error.to_string()))?;
                writer.write_all(b"\n")?;
                Ok(())
            })?;
            writer.flush()?;
            Ok(())
        },
    )
}

fn run_inspect(args: StatusCommand) -> Result<()> {
    let StatusCommand {
        dataset_dir,
        index,
        json,
        profile,
    } = args;
    profile::run_with_profile(
        profile,
        "inspect",
        Some(dataset_dir.clone()),
        index.clone(),
        None,
        move |recorder| {
            let resolved = recorder.measure("argument/input resolution", || {
                resolve_dataset(&dataset_dir, index)
            })?;
            recorder.set_dataset_path(Some(resolved.dataset_root.clone()));
            recorder.set_index_path(Some(resolved.index_path.clone()));
            let inspection = recorder.measure("dataset discovery", || resolved.inspect())?;
            if json {
                recorder.measure("output serialization/write", || print_json(&inspection))?;
            } else {
                recorder.measure("output serialization/write", || {
                    print_dataset_inspection(&inspection)
                })?;
            }
            Ok(())
        },
    )
}

fn run_validate(args: StatusCommand) -> Result<()> {
    let StatusCommand {
        dataset_dir,
        index,
        json,
        profile,
    } = args;
    profile::run_with_profile(
        profile,
        "validate",
        Some(dataset_dir.clone()),
        index.clone(),
        None,
        move |recorder| {
            let resolved = recorder.measure("argument/input resolution", || {
                resolve_dataset(&dataset_dir, index)
            })?;
            recorder.set_dataset_path(Some(resolved.dataset_root.clone()));
            recorder.set_index_path(Some(resolved.index_path.clone()));
            let report = recorder.measure("dataset discovery", || resolved.validate())?;
            if json {
                recorder.measure("output serialization/write", || print_json(&report))?;
            } else {
                recorder.measure("output serialization/write", || {
                    print_validation_report(&report)
                })?;
            }
            if report.ok {
                Ok(())
            } else {
                Err(Error::Import(report.inspection.index.issues.join("; ")))
            }
        },
    )
}

struct ResolvedOperationalInput {
    storage: StorageLayout,
    index_path: PathBuf,
    dataset_path: Option<PathBuf>,
}

fn resolve_operational_input(args: DatasetInputArgs) -> Result<ResolvedOperationalInput> {
    if args.dataset_dir.is_some() && args.storage.layout.is_some() {
        return Err(Error::Import(
            "specify either DATASET_DIR or explicit layout flags, not both".to_owned(),
        ));
    }

    if let Some(dataset_dir) = args.dataset_dir {
        let resolved = resolve_dataset(&dataset_dir, args.index)?;
        return Ok(ResolvedOperationalInput {
            storage: resolved.storage_layout(),
            index_path: resolved.index_path,
            dataset_path: Some(resolved.dataset_root),
        });
    }

    let storage = args.storage.into_layout()?;
    let index_path = args
        .index
        .ok_or_else(|| Error::Import("explicit layout mode requires --index".to_owned()))?;
    Ok(ResolvedOperationalInput {
        storage,
        index_path,
        dataset_path: None,
    })
}

fn print_dataset_inspection(report: &DatasetInspection) -> Result<()> {
    let mut writer = BufWriter::new(io::stdout());
    writeln!(writer, "dataset: {}", report.dataset_root.display())?;
    writeln!(writer, "layout: {}", report.layout.as_str())?;
    writeln!(writer, "index: {}", report.index.path.display())?;
    writeln!(
        writer,
        "index status: {}",
        if report.index.exists {
            "present"
        } else {
            "missing"
        }
    )?;
    if let Some(manifest) = &report.manifest {
        writeln!(writer, "manifest: {}", manifest.path.display())?;
    } else {
        writeln!(writer, "manifest: none")?;
    }
    writeln!(writer, "detected sources: {}", report.detected_source_count)?;
    if report.detected_feature_file_count > 0 {
        writeln!(
            writer,
            "detected feature files: {}",
            report.detected_feature_file_count
        )?;
    }
    if let Some(indexed_source_count) = report.index.indexed_source_count {
        writeln!(writer, "indexed sources: {indexed_source_count}")?;
    }
    if let Some(indexed_feature_count) = report.index.indexed_feature_count {
        writeln!(writer, "indexed feature packages: {indexed_feature_count}")?;
    }
    if let Some(indexed_cityobject_count) = report.index.indexed_cityobject_count {
        writeln!(writer, "indexed CityObjects: {indexed_cityobject_count}")?;
    }
    writeln!(
        writer,
        "freshness: {}",
        option_status(report.index.fresh, "fresh", "stale")
    )?;
    writeln!(
        writer,
        "coverage: {}",
        option_status(report.index.covered, "covered", "uncovered")
    )?;
    writeln!(
        writer,
        "needs reindex: {}",
        if report.index.needs_reindex {
            "yes"
        } else {
            "no"
        }
    )?;
    if !report.index.issues.is_empty() {
        writeln!(writer, "issues:")?;
        for issue in &report.index.issues {
            writeln!(writer, "- {issue}")?;
        }
    }
    writer.flush()?;
    Ok(())
}

fn print_validation_report(report: &ValidationReport) -> Result<()> {
    print_dataset_inspection(&report.inspection)?;
    let mut writer = BufWriter::new(io::stdout());
    writeln!(
        writer,
        "validation: {}",
        if report.ok { "ok" } else { "failed" }
    )?;
    writer.flush()?;
    Ok(())
}

fn print_json<T: serde::Serialize>(value: &T) -> Result<()> {
    let mut writer = BufWriter::new(io::stdout());
    serde_json::to_writer_pretty(&mut writer, value)
        .map_err(|error| Error::Import(error.to_string()))?;
    writer.write_all(b"\n")?;
    writer.flush()?;
    Ok(())
}

fn option_status<'a>(value: Option<bool>, yes: &'a str, no: &'a str) -> &'a str {
    match value {
        Some(true) => yes,
        Some(false) => no,
        None => "unknown",
    }
}

fn open_writer(output: Option<PathBuf>) -> Result<Box<dyn Write>> {
    match output {
        Some(path) => Ok(Box::new(File::create(path)?)),
        None => Ok(Box::new(io::stdout())),
    }
}

fn write_model_stream<W>(writer: &mut W, metadata: &Value, model: &CityModel) -> Result<()>
where
    W: Write,
{
    write_model_stream_item(writer, metadata, model)
}

fn write_model_stream_item<W>(writer: &mut W, metadata: &Value, model: &CityModel) -> Result<()>
where
    W: Write,
{
    write_model_stream_header(writer, metadata)?;
    write_feature_line(writer, model)
}

fn write_model_stream_header<W>(writer: &mut W, metadata: &Value) -> Result<()>
where
    W: Write,
{
    let header = stream_header(metadata)?;
    serde_json::to_writer(&mut *writer, &header)
        .map_err(|error| Error::Import(error.to_string()))?;
    writer.write_all(b"\n")?;
    Ok(())
}

fn write_feature_line<W>(writer: &mut W, model: &CityModel) -> Result<()>
where
    W: Write,
{
    cityjson_lib::json::to_feature_writer(writer, model)?;
    writer.write_all(b"\n")?;
    Ok(())
}

fn stream_header(metadata: &Value) -> Result<Value> {
    let mut header = metadata.clone();
    let root = header
        .as_object_mut()
        .ok_or_else(|| Error::Import("stream metadata must be a JSON object".to_string()))?;
    root.insert("type".to_string(), Value::String("CityJSON".to_string()));
    root.insert("CityObjects".to_string(), Value::Object(Map::new()));
    root.insert("vertices".to_string(), Value::Array(Vec::new()));
    Ok(header)
}