17203723508

Committed 25 Aug 2025 08:37AM UTC coverage: 88.646% (+0.001%) from 88.645%

Build # 17203723508

Build Type

push

github

Committed by

web-flow

Commit Message

feat(datatypes): reproject outside area of use (#1071)

* Reproject outside area of use

Combines clipped and non-clipped reprojection of border sample points.
The largest possible bbox (a combination of both or the one which is non-empty) is taken as result.

* Re-enable previous behavior for plot and raster

Run Details

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6 existing lines in 2 files now uncovered.

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86.09

/operators/src/processing/reprojection.rs

use std::marker::PhantomData;

use super::map_query::MapQueryProcessor;
use crate::{
    adapters::{
        FillerTileCacheExpirationStrategy, FillerTimeBounds, RasterSubQueryAdapter,
        SparseTilesFillAdapter, TileReprojectionSubQuery, fold_by_coordinate_lookup_future,
    },
    engine::{
        CanonicOperatorName, ExecutionContext, InitializedRasterOperator, InitializedSources,
        InitializedVectorOperator, Operator, OperatorName, QueryContext, QueryProcessor,
        RasterOperator, RasterQueryProcessor, RasterResultDescriptor, SingleRasterOrVectorSource,
        TypedRasterQueryProcessor, TypedVectorQueryProcessor, VectorOperator, VectorQueryProcessor,
        VectorResultDescriptor, WorkflowOperatorPath,
    },
    error::{self, Error},
    util::Result,
};
use async_trait::async_trait;
use futures::stream::BoxStream;
use futures::{StreamExt, stream};
use geoengine_datatypes::{
    collections::FeatureCollection,
    operations::reproject::{
        CoordinateProjection, CoordinateProjector, Reproject, ReprojectClipped,
        reproject_and_unify_bbox, reproject_query, suggest_pixel_size_from_diag_cross_projected,
    },
    primitives::{
        BandSelection, BoundingBox2D, ColumnSelection, Geometry, RasterQueryRectangle,
        SpatialPartition2D, SpatialPartitioned, SpatialResolution, VectorQueryRectangle,
    },
    raster::{Pixel, RasterTile2D, TilingSpecification},
    spatial_reference::SpatialReference,
    util::arrow::ArrowTyped,
};
use serde::{Deserialize, Serialize};

#[derive(Debug, Serialize, Deserialize, Clone, Copy)]
#[serde(rename_all = "camelCase")]
pub struct ReprojectionParams {
    pub target_spatial_reference: SpatialReference,
}

#[derive(Debug, Serialize, Deserialize, Clone, Copy)]
pub struct ReprojectionBounds {
    valid_in_bounds: SpatialPartition2D,
    valid_out_bounds: SpatialPartition2D,
}

pub type Reprojection = Operator<ReprojectionParams, SingleRasterOrVectorSource>;

impl Reprojection {}

impl OperatorName for Reprojection {
    const TYPE_NAME: &'static str = "Reprojection";
}

pub struct InitializedVectorReprojection {
    name: CanonicOperatorName,
    path: WorkflowOperatorPath,
    result_descriptor: VectorResultDescriptor,
    source: Box<dyn InitializedVectorOperator>,
    source_srs: SpatialReference,
    target_srs: SpatialReference,
}

pub struct InitializedRasterReprojection {
    name: CanonicOperatorName,
    path: WorkflowOperatorPath,
    result_descriptor: RasterResultDescriptor,
    source: Box<dyn InitializedRasterOperator>,
    state: Option<ReprojectionBounds>,
    source_srs: SpatialReference,
    target_srs: SpatialReference,
    tiling_spec: TilingSpecification,
}

impl InitializedVectorReprojection {
    /// Create a new `InitializedVectorReprojection` instance.
    /// The `source` must have the same `SpatialReference` as `source_srs`.
    ///
    /// # Errors
    /// This function errors if the `source`'s `SpatialReference` is `None`.
    /// This function errors if the source's bounding box cannot be reprojected to the target's `SpatialReference`.
    pub fn try_new_with_input(
        name: CanonicOperatorName,
        path: WorkflowOperatorPath,
        params: ReprojectionParams,
        source_vector_operator: Box<dyn InitializedVectorOperator>,
    ) -> Result<Self> {
        let in_desc: VectorResultDescriptor = source_vector_operator.result_descriptor().clone();

        let in_srs = Into::<Option<SpatialReference>>::into(in_desc.spatial_reference)
            .ok_or(Error::AllSourcesMustHaveSameSpatialReference)?;

        let bbox = if let Some(bbox) = in_desc.bbox {
            let projector =
                CoordinateProjector::from_known_srs(in_srs, params.target_spatial_reference)?;

            bbox.reproject_clipped(&projector)? // TODO: if this is none then we could skip the whole reprojection similar to raster?
        } else {
            None
        };

        let out_desc = VectorResultDescriptor {
            spatial_reference: params.target_spatial_reference.into(),
            data_type: in_desc.data_type,
            columns: in_desc.columns.clone(),
            time: in_desc.time,
            bbox,
        };

        Ok(InitializedVectorReprojection {
            name,
            path,
            result_descriptor: out_desc,
            source: source_vector_operator,
            source_srs: in_srs,
            target_srs: params.target_spatial_reference,
        })
    }
}

impl InitializedRasterReprojection {
    pub fn try_new_with_input(
        name: CanonicOperatorName,
        path: WorkflowOperatorPath,
        params: ReprojectionParams,
        source_raster_operator: Box<dyn InitializedRasterOperator>,
        tiling_spec: TilingSpecification,
    ) -> Result<Self> {
        let in_desc: RasterResultDescriptor = source_raster_operator.result_descriptor().clone();

        let in_srs = Into::<Option<SpatialReference>>::into(in_desc.spatial_reference)
            .ok_or(Error::AllSourcesMustHaveSameSpatialReference)?;

        // calculate the intersection of input and output srs in both coordinate systems
        let (in_bounds, out_bounds, out_res) = Self::derive_raster_in_bounds_out_bounds_out_res(
            in_srs,
            params.target_spatial_reference,
            in_desc.resolution,
            in_desc.bbox,
        )?;

        let result_descriptor = RasterResultDescriptor {
            spatial_reference: params.target_spatial_reference.into(),
            data_type: in_desc.data_type,
            time: in_desc.time,
            bbox: out_bounds,
            resolution: out_res,
            bands: in_desc.bands.clone(),
        };

        let state = match (in_bounds, out_bounds) {
            (Some(in_bounds), Some(out_bounds)) => Some(ReprojectionBounds {
                valid_in_bounds: in_bounds,
                valid_out_bounds: out_bounds,
            }),
            _ => None,
        };

        Ok(InitializedRasterReprojection {
            name,
            path,
            result_descriptor,
            source: source_raster_operator,
            state,
            source_srs: in_srs,
            target_srs: params.target_spatial_reference,
            tiling_spec,
        })
    }

    fn derive_raster_in_bounds_out_bounds_out_res(
        source_srs: SpatialReference,
        target_srs: SpatialReference,
        source_spatial_resolution: Option<SpatialResolution>,
        source_bbox: Option<SpatialPartition2D>,
    ) -> Result<(
        Option<SpatialPartition2D>,
        Option<SpatialPartition2D>,
        Option<SpatialResolution>,
    )> {
        let (in_bbox, out_bbox) = if let Some(bbox) = source_bbox {
            reproject_and_unify_bbox(bbox, source_srs, target_srs)?
        } else {
            // use the parts of the area of use that are valid in both spatial references
            let valid_bounds_in = source_srs.area_of_use_intersection(&target_srs)?;
            let valid_bounds_out = target_srs.area_of_use_intersection(&source_srs)?;

            (valid_bounds_in, valid_bounds_out)
        };

        let out_res = match (source_spatial_resolution, in_bbox, out_bbox) {
            (Some(in_res), Some(in_bbox), Some(out_bbox)) => {
                suggest_pixel_size_from_diag_cross_projected(in_bbox, out_bbox, in_res).ok()
            }
            _ => None,
        };

        Ok((in_bbox, out_bbox, out_res))
    }
}

#[typetag::serde]
#[async_trait]
impl VectorOperator for Reprojection {
    async fn _initialize(
        self: Box<Self>,
        path: WorkflowOperatorPath,
        context: &dyn ExecutionContext,
    ) -> Result<Box<dyn InitializedVectorOperator>> {
        let name = CanonicOperatorName::from(&self);

        let vector_source =
            self.sources
                .vector()
                .ok_or_else(|| error::Error::InvalidOperatorType {
                    expected: "Vector".to_owned(),
                    found: "Raster".to_owned(),
                })?;

        let initialized_source = vector_source
            .initialize_sources(path.clone(), context)
            .await?;

        let initialized_operator = InitializedVectorReprojection::try_new_with_input(
            name,
            path,
            self.params,
            initialized_source.vector,
        )?;

        Ok(initialized_operator.boxed())
    }

    span_fn!(Reprojection);
}

impl InitializedVectorOperator for InitializedVectorReprojection {
    fn result_descriptor(&self) -> &VectorResultDescriptor {
        &self.result_descriptor
    }

    fn query_processor(&self) -> Result<TypedVectorQueryProcessor> {
        let source_srs = self.source_srs;
        let target_srs = self.target_srs;
        match self.source.query_processor()? {
            TypedVectorQueryProcessor::Data(source) => Ok(TypedVectorQueryProcessor::Data(
                MapQueryProcessor::new(
                    source,
                    self.result_descriptor.clone(),
                    move |query| {
                        reproject_query(query, source_srs, target_srs, false).map_err(From::from)
                    },
                    (),
                )
                .boxed(),
            )),
            TypedVectorQueryProcessor::MultiPoint(source) => {
                Ok(TypedVectorQueryProcessor::MultiPoint(
                    VectorReprojectionProcessor::new(
                        source,
                        self.result_descriptor.clone(),
                        source_srs,
                        target_srs,
                    )
                    .boxed(),
                ))
            }
            TypedVectorQueryProcessor::MultiLineString(source) => {
                Ok(TypedVectorQueryProcessor::MultiLineString(
                    VectorReprojectionProcessor::new(
                        source,
                        self.result_descriptor.clone(),
                        source_srs,
                        target_srs,
                    )
                    .boxed(),
                ))
            }
            TypedVectorQueryProcessor::MultiPolygon(source) => {
                Ok(TypedVectorQueryProcessor::MultiPolygon(
                    VectorReprojectionProcessor::new(
                        source,
                        self.result_descriptor.clone(),
                        source_srs,
                        target_srs,
                    )
                    .boxed(),
                ))
            }
        }
    }

    fn canonic_name(&self) -> CanonicOperatorName {
        self.name.clone()
    }

    fn name(&self) -> &'static str {
        Reprojection::TYPE_NAME
    }

    fn path(&self) -> WorkflowOperatorPath {
        self.path.clone()
    }
}

struct VectorReprojectionProcessor<Q, G>
where
    Q: VectorQueryProcessor<VectorType = FeatureCollection<G>>,
{
    source: Q,
    result_descriptor: VectorResultDescriptor,
    from: SpatialReference,
    to: SpatialReference,
}

impl<Q, G> VectorReprojectionProcessor<Q, G>
where
    Q: VectorQueryProcessor<VectorType = FeatureCollection<G>>,
{
    pub fn new(
        source: Q,
        result_descriptor: VectorResultDescriptor,
        from: SpatialReference,
        to: SpatialReference,
    ) -> Self {
        Self {
            source,
            result_descriptor,
            from,
            to,
        }
    }
}

#[async_trait]
impl<Q, G> QueryProcessor for VectorReprojectionProcessor<Q, G>
where
    Q: QueryProcessor<
            Output = FeatureCollection<G>,
            SpatialBounds = BoundingBox2D,
            Selection = ColumnSelection,
            ResultDescription = VectorResultDescriptor,
        >,
    FeatureCollection<G>: Reproject<CoordinateProjector, Out = FeatureCollection<G>>,
    G: Geometry + ArrowTyped,
{
    type Output = FeatureCollection<G>;
    type SpatialBounds = BoundingBox2D;
    type Selection = ColumnSelection;
    type ResultDescription = VectorResultDescriptor;

    async fn _query<'a>(
        &'a self,
        query: VectorQueryRectangle,
        ctx: &'a dyn QueryContext,
    ) -> Result<BoxStream<'a, Result<Self::Output>>> {
        let rewritten_query = reproject_query(query, self.from, self.to, false)?;

        if let Some(rewritten_query) = rewritten_query {
            Ok(self
                .source
                .query(rewritten_query, ctx)
                .await?
                .map(move |collection_result| {
                    collection_result.and_then(|collection| {
                        CoordinateProjector::from_known_srs(self.from, self.to)
                            .and_then(|projector| collection.reproject(projector.as_ref()))
                            .map_err(Into::into)
                    })
                })
                .boxed())
        } else {
            let res = Ok(FeatureCollection::empty());
            Ok(Box::pin(stream::once(async { res })))
        }
    }

    fn result_descriptor(&self) -> &VectorResultDescriptor {
        &self.result_descriptor
    }
}

#[typetag::serde]
#[async_trait]
impl RasterOperator for Reprojection {
    async fn _initialize(
        self: Box<Self>,
        path: WorkflowOperatorPath,
        context: &dyn ExecutionContext,
    ) -> Result<Box<dyn InitializedRasterOperator>> {
        let name = CanonicOperatorName::from(&self);

        let raster_source =
            self.sources
                .raster()
                .ok_or_else(|| error::Error::InvalidOperatorType {
                    expected: "Raster".to_owned(),
                    found: "Vector".to_owned(),
                })?;

        let initialized_source = raster_source
            .initialize_sources(path.clone(), context)
            .await?;

        let initialized_operator = InitializedRasterReprojection::try_new_with_input(
            name,
            path,
            self.params,
            initialized_source.raster,
            context.tiling_specification(),
        )?;

        Ok(initialized_operator.boxed())
    }

    span_fn!(Reprojection);
}

impl InitializedRasterOperator for InitializedRasterReprojection {
    fn result_descriptor(&self) -> &RasterResultDescriptor {
        &self.result_descriptor
    }

    // i know there is a macro somewhere. we need to re-work this when we have the no-data value anyway.
    #[allow(clippy::too_many_lines)]
    fn query_processor(&self) -> Result<TypedRasterQueryProcessor> {
        let q = self.source.query_processor()?;

        Ok(match self.result_descriptor.data_type {
            geoengine_datatypes::raster::RasterDataType::U8 => {
                let qt = q
                    .get_u8()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::U8(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::U16 => {
                let qt = q
                    .get_u16()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::U16(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }

            geoengine_datatypes::raster::RasterDataType::U32 => {
                let qt = q
                    .get_u32()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::U32(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::U64 => {
                let qt = q
                    .get_u64()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::U64(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::I8 => {
                let qt = q
                    .get_i8()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::I8(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::I16 => {
                let qt = q
                    .get_i16()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::I16(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::I32 => {
                let qt = q
                    .get_i32()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::I32(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::I64 => {
                let qt = q
                    .get_i64()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::I64(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::F32 => {
                let qt = q
                    .get_f32()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::F32(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
            geoengine_datatypes::raster::RasterDataType::F64 => {
                let qt = q
                    .get_f64()
                    .expect("the result descriptor and query processor type should match");
                TypedRasterQueryProcessor::F64(Box::new(RasterReprojectionProcessor::new(
                    qt,
                    self.result_descriptor.clone(),
                    self.source_srs,
                    self.target_srs,
                    self.tiling_spec,
                    self.state,
                )))
            }
        })
    }

    fn canonic_name(&self) -> CanonicOperatorName {
        self.name.clone()
    }

    fn name(&self) -> &'static str {
        Reprojection::TYPE_NAME
    }

    fn path(&self) -> WorkflowOperatorPath {
        self.path.clone()
    }
}

pub struct RasterReprojectionProcessor<Q, P>
where
    Q: RasterQueryProcessor<RasterType = P>,
{
    source: Q,
    result_descriptor: RasterResultDescriptor,
    from: SpatialReference,
    to: SpatialReference,
    tiling_spec: TilingSpecification,
    state: Option<ReprojectionBounds>,
    _phantom_data: PhantomData<P>,
}

impl<Q, P> RasterReprojectionProcessor<Q, P>
where
    Q: QueryProcessor<
            Output = RasterTile2D<P>,
            SpatialBounds = SpatialPartition2D,
            Selection = BandSelection,
            ResultDescription = RasterResultDescriptor,
        >,
    P: Pixel,
{
    pub fn new(
        source: Q,
        result_descriptor: RasterResultDescriptor,
        from: SpatialReference,
        to: SpatialReference,
        tiling_spec: TilingSpecification,
        state: Option<ReprojectionBounds>,
    ) -> Self {
        Self {
            source,
            result_descriptor,
            from,
            to,
            tiling_spec,
            state,
            _phantom_data: PhantomData,
        }
    }
}

#[async_trait]
impl<Q, P> QueryProcessor for RasterReprojectionProcessor<Q, P>
where
    Q: QueryProcessor<
            Output = RasterTile2D<P>,
            SpatialBounds = SpatialPartition2D,
            Selection = BandSelection,
            ResultDescription = RasterResultDescriptor,
        >,
    P: Pixel,
{
    type Output = RasterTile2D<P>;
    type SpatialBounds = SpatialPartition2D;
    type Selection = BandSelection;
    type ResultDescription = RasterResultDescriptor;

    async fn _query<'a>(
        &'a self,
        query: RasterQueryRectangle,
        ctx: &'a dyn QueryContext,
    ) -> Result<BoxStream<'a, Result<Self::Output>>> {
        if let Some(state) = &self.state {
            let valid_bounds_in = state.valid_in_bounds;
            let valid_bounds_out = state.valid_out_bounds;

            // calculate the spatial resolution the input data should have using the intersection and the requested resolution
            let in_spatial_res = suggest_pixel_size_from_diag_cross_projected(
                valid_bounds_out,
                valid_bounds_in,
                query.spatial_resolution,
            )?;

            // setup the subquery
            let sub_query_spec = TileReprojectionSubQuery {
                in_srs: self.from,
                out_srs: self.to,
                fold_fn: fold_by_coordinate_lookup_future,
                in_spatial_res,
                valid_bounds_in,
                valid_bounds_out,
                _phantom_data: PhantomData,
            };

            // return the adapter which will reproject the tiles and uses the fill adapter to inject missing tiles
            Ok(RasterSubQueryAdapter::<'a, P, _, _>::new(
                &self.source,
                query,
                self.tiling_spec,
                ctx,
                sub_query_spec,
            )
            .filter_and_fill(FillerTileCacheExpirationStrategy::DerivedFromSurroundingTiles))
        } else {
            tracing::debug!("No intersection between source data / srs and target srs");

            let tiling_strat = self
                .tiling_spec
                .strategy(query.spatial_resolution.x, -query.spatial_resolution.y);

            let grid_bounds = tiling_strat.tile_grid_box(query.spatial_partition());
            Ok(Box::pin(SparseTilesFillAdapter::new(
                stream::empty(),
                grid_bounds,
                query.attributes.count(),
                tiling_strat.geo_transform,
                self.tiling_spec.tile_size_in_pixels,
                FillerTileCacheExpirationStrategy::DerivedFromSurroundingTiles,
                query.time_interval,
                FillerTimeBounds::from(query.time_interval), // TODO: derive this from the query once the child query can provide this.
            )))
        }
    }

    fn result_descriptor(&self) -> &RasterResultDescriptor {
        &self.result_descriptor
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::engine::{MockExecutionContext, MockQueryContext, RasterBandDescriptors};
    use crate::mock::MockFeatureCollectionSource;
    use crate::mock::{MockRasterSource, MockRasterSourceParams};
    use crate::{
        engine::{ChunkByteSize, VectorOperator},
        source::{
            FileNotFoundHandling, GdalDatasetGeoTransform, GdalDatasetParameters,
            GdalMetaDataRegular, GdalMetaDataStatic, GdalSource, GdalSourceParameters,
            GdalSourceTimePlaceholder, TimeReference,
        },
        test_data,
        util::gdal::{add_ndvi_dataset, gdal_open_dataset},
    };
    use float_cmp::approx_eq;
    use futures::StreamExt;
    use geoengine_datatypes::collections::IntoGeometryIterator;
    use geoengine_datatypes::dataset::NamedData;
    use geoengine_datatypes::primitives::{
        AxisAlignedRectangle, Coordinate2D, DateTimeParseFormat,
    };
    use geoengine_datatypes::primitives::{CacheHint, CacheTtlSeconds};
    use geoengine_datatypes::raster::TilesEqualIgnoringCacheHint;
    use geoengine_datatypes::{
        collections::{
            GeometryCollection, MultiLineStringCollection, MultiPointCollection,
            MultiPolygonCollection,
        },
        dataset::{DataId, DatasetId},
        hashmap,
        primitives::{
            BoundingBox2D, MultiLineString, MultiPoint, MultiPolygon, QueryRectangle,
            SpatialResolution, TimeGranularity, TimeInstance, TimeInterval, TimeStep,
        },
        raster::{Grid, GridShape, GridShape2D, GridSize, RasterDataType, RasterTile2D},
        spatial_reference::SpatialReferenceAuthority,
        util::{
            Identifier,
            test::TestDefault,
            well_known_data::{
                COLOGNE_EPSG_900_913, COLOGNE_EPSG_4326, HAMBURG_EPSG_900_913, HAMBURG_EPSG_4326,
                MARBURG_EPSG_900_913, MARBURG_EPSG_4326,
            },
        },
    };
    use std::collections::HashMap;
    use std::path::PathBuf;
    use std::str::FromStr;

    #[tokio::test]
    async fn multi_point() -> Result<()> {
        let points = MultiPointCollection::from_data(
            MultiPoint::many(vec![
                MARBURG_EPSG_4326,
                COLOGNE_EPSG_4326,
                HAMBURG_EPSG_4326,
            ])
            .unwrap(),
            vec![TimeInterval::new_unchecked(0, 1); 3],
            Default::default(),
            CacheHint::default(),
        )?;

        let expected = MultiPoint::many(vec![
            MARBURG_EPSG_900_913,
            COLOGNE_EPSG_900_913,
            HAMBURG_EPSG_900_913,
        ])
        .unwrap();

        let point_source = MockFeatureCollectionSource::single(points.clone()).boxed();

        let target_spatial_reference =
            SpatialReference::new(SpatialReferenceAuthority::Epsg, 900_913);

        let initialized_operator = VectorOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference,
            },
            sources: SingleRasterOrVectorSource {
                source: point_source.into(),
            },
        })
        .initialize(
            WorkflowOperatorPath::initialize_root(),
            &MockExecutionContext::test_default(),
        )
        .await?;

        let query_processor = initialized_operator.query_processor()?;

        let query_processor = query_processor.multi_point().unwrap();

        let query_rectangle = VectorQueryRectangle {
            spatial_bounds: BoundingBox2D::new(
                (COLOGNE_EPSG_4326.x, MARBURG_EPSG_4326.y).into(),
                (MARBURG_EPSG_4326.x, HAMBURG_EPSG_4326.y).into(),
            )
            .unwrap(),
            time_interval: TimeInterval::default(),
            spatial_resolution: SpatialResolution::zero_point_one(),
            attributes: ColumnSelection::all(),
        };
        let ctx = MockQueryContext::new(ChunkByteSize::MAX);

        let query = query_processor.query(query_rectangle, &ctx).await.unwrap();

        let result = query
            .map(Result::unwrap)
            .collect::<Vec<MultiPointCollection>>()
            .await;

        assert_eq!(result.len(), 1);

        result[0]
            .geometries()
            .zip(expected.iter())
            .for_each(|(a, e)| {
                assert!(approx_eq!(&MultiPoint, &a.into(), e, epsilon = 0.00001));
            });

        Ok(())
    }

    #[tokio::test]
    async fn multi_lines() -> Result<()> {
        let lines = MultiLineStringCollection::from_data(
            vec![
                MultiLineString::new(vec![vec![
                    MARBURG_EPSG_4326,
                    COLOGNE_EPSG_4326,
                    HAMBURG_EPSG_4326,
                ]])
                .unwrap(),
            ],
            vec![TimeInterval::new_unchecked(0, 1); 1],
            Default::default(),
            CacheHint::default(),
        )?;

        let expected = [MultiLineString::new(vec![vec![
            MARBURG_EPSG_900_913,
            COLOGNE_EPSG_900_913,
            HAMBURG_EPSG_900_913,
        ]])
        .unwrap()];

        let lines_source = MockFeatureCollectionSource::single(lines.clone()).boxed();

        let target_spatial_reference =
            SpatialReference::new(SpatialReferenceAuthority::Epsg, 900_913);

        let initialized_operator = VectorOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference,
            },
            sources: SingleRasterOrVectorSource {
                source: lines_source.into(),
            },
        })
        .initialize(
            WorkflowOperatorPath::initialize_root(),
            &MockExecutionContext::test_default(),
        )
        .await?;

        let query_processor = initialized_operator.query_processor()?;

        let query_processor = query_processor.multi_line_string().unwrap();

        let query_rectangle = VectorQueryRectangle {
            spatial_bounds: BoundingBox2D::new(
                (COLOGNE_EPSG_4326.x, MARBURG_EPSG_4326.y).into(),
                (MARBURG_EPSG_4326.x, HAMBURG_EPSG_4326.y).into(),
            )
            .unwrap(),
            time_interval: TimeInterval::default(),
            spatial_resolution: SpatialResolution::zero_point_one(),
            attributes: ColumnSelection::all(),
        };
        let ctx = MockQueryContext::new(ChunkByteSize::MAX);

        let query = query_processor.query(query_rectangle, &ctx).await.unwrap();

        let result = query
            .map(Result::unwrap)
            .collect::<Vec<MultiLineStringCollection>>()
            .await;

        assert_eq!(result.len(), 1);

        result[0]
            .geometries()
            .zip(expected.iter())
            .for_each(|(a, e)| {
                assert!(approx_eq!(
                    &MultiLineString,
                    &a.into(),
                    e,
                    epsilon = 0.00001
                ));
            });

        Ok(())
    }

    #[tokio::test]
    async fn multi_polygons() -> Result<()> {
        let polygons = MultiPolygonCollection::from_data(
            vec![
                MultiPolygon::new(vec![vec![vec![
                    MARBURG_EPSG_4326,
                    COLOGNE_EPSG_4326,
                    HAMBURG_EPSG_4326,
                    MARBURG_EPSG_4326,
                ]]])
                .unwrap(),
            ],
            vec![TimeInterval::new_unchecked(0, 1); 1],
            Default::default(),
            CacheHint::default(),
        )?;

        let expected = [MultiPolygon::new(vec![vec![vec![
            MARBURG_EPSG_900_913,
            COLOGNE_EPSG_900_913,
            HAMBURG_EPSG_900_913,
            MARBURG_EPSG_900_913,
        ]]])
        .unwrap()];

        let polygon_source = MockFeatureCollectionSource::single(polygons.clone()).boxed();

        let target_spatial_reference =
            SpatialReference::new(SpatialReferenceAuthority::Epsg, 900_913);

        let initialized_operator = VectorOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference,
            },
            sources: SingleRasterOrVectorSource {
                source: polygon_source.into(),
            },
        })
        .initialize(
            WorkflowOperatorPath::initialize_root(),
            &MockExecutionContext::test_default(),
        )
        .await?;

        let query_processor = initialized_operator.query_processor()?;

        let query_processor = query_processor.multi_polygon().unwrap();

        let query_rectangle = VectorQueryRectangle {
            spatial_bounds: BoundingBox2D::new(
                (COLOGNE_EPSG_4326.x, MARBURG_EPSG_4326.y).into(),
                (MARBURG_EPSG_4326.x, HAMBURG_EPSG_4326.y).into(),
            )
            .unwrap(),
            time_interval: TimeInterval::default(),
            spatial_resolution: SpatialResolution::zero_point_one(),
            attributes: ColumnSelection::all(),
        };
        let ctx = MockQueryContext::new(ChunkByteSize::MAX);

        let query = query_processor.query(query_rectangle, &ctx).await.unwrap();

        let result = query
            .map(Result::unwrap)
            .collect::<Vec<MultiPolygonCollection>>()
            .await;

        assert_eq!(result.len(), 1);

        result[0]
            .geometries()
            .zip(expected.iter())
            .for_each(|(a, e)| {
                assert!(approx_eq!(&MultiPolygon, &a.into(), e, epsilon = 0.00001));
            });

        Ok(())
    }

    #[tokio::test]
    async fn raster_identity() -> Result<()> {
        let projection = SpatialReference::new(
            geoengine_datatypes::spatial_reference::SpatialReferenceAuthority::Epsg,
            4326,
        );

        let data = vec![
            RasterTile2D {
                time: TimeInterval::new_unchecked(0, 5),
                tile_position: [-1, 0].into(),
                band: 0,
                global_geo_transform: TestDefault::test_default(),
                grid_array: Grid::new([2, 2].into(), vec![1, 2, 3, 4]).unwrap().into(),
                properties: Default::default(),
                cache_hint: CacheHint::default(),
            },
            RasterTile2D {
                time: TimeInterval::new_unchecked(0, 5),
                tile_position: [-1, 1].into(),
                band: 0,
                global_geo_transform: TestDefault::test_default(),
                grid_array: Grid::new([2, 2].into(), vec![7, 8, 9, 10]).unwrap().into(),
                properties: Default::default(),
                cache_hint: CacheHint::default(),
            },
            RasterTile2D {
                time: TimeInterval::new_unchecked(5, 10),
                tile_position: [-1, 0].into(),
                band: 0,
                global_geo_transform: TestDefault::test_default(),
                grid_array: Grid::new([2, 2].into(), vec![13, 14, 15, 16])
                    .unwrap()
                    .into(),
                properties: Default::default(),
                cache_hint: CacheHint::default(),
            },
            RasterTile2D {
                time: TimeInterval::new_unchecked(5, 10),
                tile_position: [-1, 1].into(),
                band: 0,
                global_geo_transform: TestDefault::test_default(),
                grid_array: Grid::new([2, 2].into(), vec![19, 20, 21, 22])
                    .unwrap()
                    .into(),
                properties: Default::default(),
                cache_hint: CacheHint::default(),
            },
        ];

        let mrs1 = MockRasterSource {
            params: MockRasterSourceParams {
                data: data.clone(),
                result_descriptor: RasterResultDescriptor {
                    data_type: RasterDataType::U8,
                    spatial_reference: SpatialReference::epsg_4326().into(),
                    time: None,
                    bbox: None,
                    resolution: Some(SpatialResolution::one()),
                    bands: RasterBandDescriptors::new_single_band(),
                },
            },
        }
        .boxed();

        let mut exe_ctx = MockExecutionContext::test_default();
        exe_ctx.tiling_specification.tile_size_in_pixels = GridShape {
            // we need a smaller tile size
            shape_array: [2, 2],
        };

        let query_ctx = MockQueryContext::test_default();

        let initialized_operator = RasterOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: projection, // This test will do a identity reprojection
            },
            sources: SingleRasterOrVectorSource {
                source: mrs1.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await?;

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .get_u8()
            .unwrap();

        let query_rect = RasterQueryRectangle {
            spatial_bounds: SpatialPartition2D::new_unchecked((0., 1.).into(), (3., 0.).into()),
            time_interval: TimeInterval::new_unchecked(0, 10),
            spatial_resolution: SpatialResolution::one(),
            attributes: BandSelection::first(),
        };

        let a = qp.raster_query(query_rect, &query_ctx).await?;

        let res = a
            .map(Result::unwrap)
            .collect::<Vec<RasterTile2D<u8>>>()
            .await;
        assert!(data.tiles_equal_ignoring_cache_hint(&res));

        Ok(())
    }

    #[tokio::test]
    async fn raster_ndvi_3857() -> Result<()> {
        let mut exe_ctx = MockExecutionContext::test_default();
        let query_ctx = MockQueryContext::test_default();
        let id = add_ndvi_dataset(&mut exe_ctx);
        exe_ctx.tiling_specification =
            TilingSpecification::new((0.0, 0.0).into(), [450, 450].into());

        let output_shape: GridShape2D = [900, 1800].into();
        let output_bounds =
            SpatialPartition2D::new_unchecked((0., 20_000_000.).into(), (20_000_000., 0.).into());
        let time_interval = TimeInterval::new_unchecked(1_388_534_400_000, 1_388_534_400_001);
        // 2014-01-01

        let gdal_op = GdalSource {
            params: GdalSourceParameters { data: id.clone() },
        }
        .boxed();

        let projection = SpatialReference::new(
            geoengine_datatypes::spatial_reference::SpatialReferenceAuthority::Epsg,
            3857,
        );

        let initialized_operator = RasterOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: projection,
            },
            sources: SingleRasterOrVectorSource {
                source: gdal_op.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await?;

        let x_query_resolution = output_bounds.size_x() / output_shape.axis_size_x() as f64;
        let y_query_resolution = output_bounds.size_y() / (output_shape.axis_size_y() * 2) as f64; // *2 to account for the dataset aspect ratio 2:1
        let spatial_resolution =
            SpatialResolution::new_unchecked(x_query_resolution, y_query_resolution);

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .get_u8()
            .unwrap();

        let qs = qp
            .raster_query(
                RasterQueryRectangle {
                    spatial_bounds: output_bounds,
                    time_interval,
                    spatial_resolution,
                    attributes: BandSelection::first(),
                },
                &query_ctx,
            )
            .await
            .unwrap();

        let res = qs
            .map(Result::unwrap)
            .collect::<Vec<RasterTile2D<u8>>>()
            .await;

        // Write the tiles to a file
        // let mut buffer = File::create("MOD13A2_M_NDVI_2014-04-01_tile-20.rst")?;
        // buffer.write(res[8].clone().into_materialized_tile().grid_array.data.as_slice())?;

        // This check is against a tile produced by the operator itself. It was visually validated. TODO: rebuild when open issues are solved.
        // A perfect validation would be against a GDAL output generated like this:
        // gdalwarp -t_srs EPSG:3857 -tr 11111.11111111 11111.11111111 -r near -te 0.0 5011111.111111112 5000000.0 10011111.111111112 -te_srs EPSG:3857 -of GTiff ./MOD13A2_M_NDVI_2014-04-01.TIFF ./MOD13A2_M_NDVI_2014-04-01_tile-20.rst

        assert_eq!(
            include_bytes!(
                "../../../test_data/raster/modis_ndvi/projected_3857/MOD13A2_M_NDVI_2014-04-01_tile-20.rst"
            ) as &[u8],
            res[8]
                .clone()
                .into_materialized_tile()
                .grid_array
                .inner_grid
                .data
                .as_slice()
        );

        Ok(())
    }

    #[test]
    fn query_rewrite_4326_3857() {
        let query = VectorQueryRectangle {
            spatial_bounds: BoundingBox2D::new_unchecked((-180., -90.).into(), (180., 90.).into()),
            time_interval: TimeInterval::default(),
            spatial_resolution: SpatialResolution::zero_point_one(),
            attributes: ColumnSelection::all(),
        };

        let expected = BoundingBox2D::new_unchecked(
            (-20_037_508.342_789_244, -20_048_966.104_014_594).into(),
            (20_037_508.342_789_244, 20_048_966.104_014_594).into(),
        );

        let reprojected = reproject_query(
            query,
            SpatialReference::new(SpatialReferenceAuthority::Epsg, 3857),
            SpatialReference::epsg_4326(),
            true,
        )
        .unwrap()
        .unwrap();

        assert!(approx_eq!(
            BoundingBox2D,
            expected,
            reprojected.spatial_bounds,
            epsilon = 0.000_001
        ));
    }

    #[tokio::test]
    async fn raster_ndvi_3857_to_4326() -> Result<()> {
        let mut exe_ctx = MockExecutionContext::test_default();
        let query_ctx = MockQueryContext::test_default();

        let m = GdalMetaDataRegular {
            data_time: TimeInterval::new_unchecked(
                TimeInstance::from_str("2014-01-01T00:00:00.000Z").unwrap(),
                TimeInstance::from_str("2014-07-01T00:00:00.000Z").unwrap(),
            ),
            step: TimeStep {
                granularity: TimeGranularity::Months,
                step: 1,
            },
            time_placeholders: hashmap! {
                "%_START_TIME_%".to_string() => GdalSourceTimePlaceholder {
                    format: DateTimeParseFormat::custom("%Y-%m-%d".to_string()),
                    reference: TimeReference::Start,
                },
            },
            params: GdalDatasetParameters {
                file_path: test_data!(
                    "raster/modis_ndvi/projected_3857/MOD13A2_M_NDVI_%_START_TIME_%.TIFF"
                )
                .into(),
                rasterband_channel: 1,
                geo_transform: GdalDatasetGeoTransform {
                    origin_coordinate: (-20_037_508.342_789_244, 19_971_868.880_408_563).into(),
                    x_pixel_size: 14_052.950_258_048_739,
                    y_pixel_size: -14_057.881_117_788_405,
                },
                width: 2851,
                height: 2841,
                file_not_found_handling: FileNotFoundHandling::Error,
                no_data_value: Some(0.),
                properties_mapping: None,
                gdal_open_options: None,
                gdal_config_options: None,
                allow_alphaband_as_mask: true,
                retry: None,
            },
            result_descriptor: RasterResultDescriptor {
                data_type: RasterDataType::U8,
                spatial_reference: SpatialReference::new(SpatialReferenceAuthority::Epsg, 3857)
                    .into(),
                time: None,
                bbox: None,
                resolution: None,
                bands: RasterBandDescriptors::new_single_band(),
            },
            cache_ttl: CacheTtlSeconds::default(),
        };

        let id: DataId = DatasetId::new().into();
        let name = NamedData::with_system_name("ndvi");
        exe_ctx.add_meta_data(id.clone(), name.clone(), Box::new(m));

        exe_ctx.tiling_specification = TilingSpecification::new((0.0, 0.0).into(), [60, 60].into());

        let output_bounds =
            SpatialPartition2D::new_unchecked((-180., 90.).into(), (180., -90.).into());
        let time_interval = TimeInterval::new_unchecked(1_396_310_400_000, 1_396_310_400_000);
        // 2014-04-01

        let gdal_op = GdalSource {
            params: GdalSourceParameters { data: name },
        }
        .boxed();

        let initialized_operator = RasterOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: SpatialReference::epsg_4326(),
            },
            sources: SingleRasterOrVectorSource {
                source: gdal_op.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await?;

        let x_query_resolution = output_bounds.size_x() / 480.; // since we request x -180 to 180 and y -90 to 90 with 60x60 tiles this will result in 8 x 4 tiles
        let y_query_resolution = output_bounds.size_y() / 240.; // *2 to account for the dataset aspect ratio 2:1
        let spatial_resolution =
            SpatialResolution::new_unchecked(x_query_resolution, y_query_resolution);

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .get_u8()
            .unwrap();

        let qs = qp
            .raster_query(
                QueryRectangle {
                    spatial_bounds: output_bounds,
                    time_interval,
                    spatial_resolution,
                    attributes: BandSelection::first(),
                },
                &query_ctx,
            )
            .await
            .unwrap();

        let tiles = qs
            .map(Result::unwrap)
            .collect::<Vec<RasterTile2D<u8>>>()
            .await;

        // the test must generate 8x4 tiles
        assert_eq!(tiles.len(), 32);

        // none of the tiles should be empty
        assert!(tiles.iter().all(|t| !t.is_empty()));

        Ok(())
    }

    #[test]
    fn source_resolution() {
        let epsg_4326 = SpatialReference::epsg_4326();
        let epsg_3857 = SpatialReference::new(SpatialReferenceAuthority::Epsg, 3857);

        // use ndvi dataset that was reprojected using gdal as ground truth
        let dataset_4326 = gdal_open_dataset(test_data!(
            "raster/modis_ndvi/MOD13A2_M_NDVI_2014-04-01.TIFF"
        ))
        .unwrap();
        let geotransform_4326 = dataset_4326.geo_transform().unwrap();
        let res_4326 = SpatialResolution::new(geotransform_4326[1], -geotransform_4326[5]).unwrap();

        let dataset_3857 = gdal_open_dataset(test_data!(
            "raster/modis_ndvi/projected_3857/MOD13A2_M_NDVI_2014-04-01.TIFF"
        ))
        .unwrap();
        let geotransform_3857 = dataset_3857.geo_transform().unwrap();
        let res_3857 = SpatialResolution::new(geotransform_3857[1], -geotransform_3857[5]).unwrap();

        // ndvi was projected from 4326 to 3857. The calculated source_resolution for getting the raster in 3857 with `res_3857`
        // should thus roughly be like the original `res_4326`
        let result_res = suggest_pixel_size_from_diag_cross_projected::<SpatialPartition2D>(
            epsg_3857.area_of_use_projected().unwrap(),
            epsg_4326.area_of_use_projected().unwrap(),
            res_3857,
        )
        .unwrap();
        assert!(1. - (result_res.x / res_4326.x).abs() < 0.02);
        assert!(1. - (result_res.y / res_4326.y).abs() < 0.02);
    }

    #[tokio::test]
    async fn query_outside_projection_area_of_use_produces_empty_tiles() {
        let mut exe_ctx = MockExecutionContext::test_default();
        let query_ctx = MockQueryContext::test_default();

        let m = GdalMetaDataStatic {
            time: Some(TimeInterval::default()),
            params: GdalDatasetParameters {
                file_path: PathBuf::new(),
                rasterband_channel: 1,
                geo_transform: GdalDatasetGeoTransform {
                    origin_coordinate: (166_021.44, 9_329_005.188).into(),
                    x_pixel_size: (534_994.66 - 166_021.444) / 100.,
                    y_pixel_size: -9_329_005.18 / 100.,
                },
                width: 100,
                height: 100,
                file_not_found_handling: FileNotFoundHandling::NoData,
                no_data_value: Some(0.),
                properties_mapping: None,
                gdal_open_options: None,
                gdal_config_options: None,
                allow_alphaband_as_mask: true,
                retry: None,
            },
            result_descriptor: RasterResultDescriptor {
                data_type: RasterDataType::U8,
                spatial_reference: SpatialReference::new(SpatialReferenceAuthority::Epsg, 32636)
                    .into(),
                time: None,
                bbox: None,
                resolution: None,
                bands: RasterBandDescriptors::new_single_band(),
            },
            cache_ttl: CacheTtlSeconds::default(),
        };

        let id: DataId = DatasetId::new().into();
        let name = NamedData::with_system_name("ndvi");
        exe_ctx.add_meta_data(id.clone(), name.clone(), Box::new(m));

        exe_ctx.tiling_specification =
            TilingSpecification::new((0.0, 0.0).into(), [600, 600].into());

        let output_shape: GridShape2D = [1000, 1000].into();
        let output_bounds =
            SpatialPartition2D::new_unchecked((-180., 0.).into(), (180., -90.).into());
        let time_interval = TimeInterval::new_instant(1_388_534_400_000).unwrap(); // 2014-01-01

        let gdal_op = GdalSource {
            params: GdalSourceParameters { data: name },
        }
        .boxed();

        let initialized_operator = RasterOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: SpatialReference::epsg_4326(),
            },
            sources: SingleRasterOrVectorSource {
                source: gdal_op.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await
        .unwrap();

        let x_query_resolution = output_bounds.size_x() / output_shape.axis_size_x() as f64;
        let y_query_resolution = output_bounds.size_y() / (output_shape.axis_size_y()) as f64;
        let spatial_resolution =
            SpatialResolution::new_unchecked(x_query_resolution, y_query_resolution);

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .get_u8()
            .unwrap();

        let result = qp
            .raster_query(
                QueryRectangle {
                    spatial_bounds: output_bounds,
                    time_interval,
                    spatial_resolution,
                    attributes: BandSelection::first(),
                },
                &query_ctx,
            )
            .await
            .unwrap()
            .map(Result::unwrap)
            .collect::<Vec<_>>()
            .await;

        assert_eq!(result.len(), 4);

        for r in result {
            assert!(r.is_empty());
        }
    }

    #[tokio::test]
    async fn points_from_wgs84_to_utm36n() {
        let exe_ctx = MockExecutionContext::test_default();
        let query_ctx = MockQueryContext::test_default();

        let point_source = MockFeatureCollectionSource::single(
            MultiPointCollection::from_data(
                MultiPoint::many(vec![
                    vec![(30.0, 0.0)], // lower left of utm36n area of use
                    vec![(36.0, 84.0)],
                    vec![(33.0, 42.0)], // upper right of utm36n area of use
                ])
                .unwrap(),
                vec![TimeInterval::default(); 3],
                HashMap::default(),
                CacheHint::default(),
            )
            .unwrap(),
        )
        .boxed();

        let initialized_operator = VectorOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: SpatialReference::new(
                    SpatialReferenceAuthority::Epsg,
                    32636, // utm36n
                ),
            },
            sources: SingleRasterOrVectorSource {
                source: point_source.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await
        .unwrap();

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .multi_point()
            .unwrap();

        let spatial_bounds = BoundingBox2D::new(
            (166_021.44, 0.00).into(), // lower left of projected utm36n area of use
            (534_994.666_6, 9_329_005.18).into(), // upper right of projected utm36n area of use
        )
        .unwrap();

        let qs = qp
            .vector_query(
                QueryRectangle {
                    spatial_bounds,
                    time_interval: TimeInterval::default(),
                    spatial_resolution: SpatialResolution::zero_point_one(),
                    attributes: ColumnSelection::all(),
                },
                &query_ctx,
            )
            .await
            .unwrap();

        let points = qs.map(Result::unwrap).collect::<Vec<_>>().await;

        assert_eq!(points.len(), 1);

        let points = &points[0];

        assert_eq!(
            points.coordinates(),
            &[
                (166_021.443_080_538_42, 0.0).into(),
                (534_994.655_061_136_1, 9_329_005.182_447_437).into(),
                (499_999.999_999_999_5, 4_649_776.224_819_178).into()
            ]
        );
    }

    #[tokio::test]
    async fn points_from_utm36n_to_wgs84() {
        let exe_ctx = MockExecutionContext::test_default();
        let query_ctx = MockQueryContext::test_default();

        let point_source = MockFeatureCollectionSource::with_collections_and_sref(
            vec![
                MultiPointCollection::from_data(
                    MultiPoint::many(vec![
                        vec![(166_021.443_080_538_42, 0.0)],
                        vec![(534_994.655_061_136_1, 9_329_005.182_447_437)],
                        vec![(499_999.999_999_999_5, 4_649_776.224_819_178)],
                    ])
                    .unwrap(),
                    vec![TimeInterval::default(); 3],
                    HashMap::default(),
                    CacheHint::default(),
                )
                .unwrap(),
            ],
            SpatialReference::new(SpatialReferenceAuthority::Epsg, 32636), //utm36n
        )
        .boxed();

        let initialized_operator = VectorOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: SpatialReference::new(
                    SpatialReferenceAuthority::Epsg,
                    4326, // utm36n
                ),
            },
            sources: SingleRasterOrVectorSource {
                source: point_source.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await
        .unwrap();

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .multi_point()
            .unwrap();

        let spatial_bounds = BoundingBox2D::new(
            (30.0, 0.0).into(),  // lower left of utm36n area of use
            (33.0, 42.0).into(), // upper right of utm36n area of use
        )
        .unwrap();

        let qs = qp
            .vector_query(
                QueryRectangle {
                    spatial_bounds,
                    time_interval: TimeInterval::default(),
                    spatial_resolution: SpatialResolution::zero_point_one(),
                    attributes: ColumnSelection::all(),
                },
                &query_ctx,
            )
            .await
            .unwrap();

        let points = qs.map(Result::unwrap).collect::<Vec<_>>().await;

        assert_eq!(points.len(), 1);

        let points = &points[0];

        assert!(approx_eq!(
            &[Coordinate2D],
            points.coordinates(),
            &[
                (30.0, 0.0).into(), // lower left of utm36n area of use
                (36.0, 84.0).into(),
                (33.0, 42.0).into(), // upper right of utm36n area of use
            ]
        ));
    }

    #[tokio::test]
    async fn points_from_utm36n_to_wgs84_out_of_area() {
        // TODO this test becomes obsolete in this form, it should be removed or we test for 'correct' reprojection here

        // This test checks that points that are outside the area of use of the target spatial reference are not projected and an empty collection is returned

        let exe_ctx = MockExecutionContext::test_default();
        let query_ctx = MockQueryContext::test_default();

        let point_source = MockFeatureCollectionSource::with_collections_and_sref(
            vec![
                MultiPointCollection::from_data(
                    MultiPoint::many(vec![
                        vec![(758_565., 4_928_353.)], // (12.25, 44,46)
                    ])
                    .unwrap(),
                    vec![TimeInterval::default(); 1],
                    HashMap::default(),
                    CacheHint::default(),
                )
                .unwrap(),
            ],
            SpatialReference::new(SpatialReferenceAuthority::Epsg, 32636), //utm36n
        )
        .boxed();

        let initialized_operator = VectorOperator::boxed(Reprojection {
            params: ReprojectionParams {
                target_spatial_reference: SpatialReference::new(
                    SpatialReferenceAuthority::Epsg,
                    4326, // utm36n
                ),
            },
            sources: SingleRasterOrVectorSource {
                source: point_source.into(),
            },
        })
        .initialize(WorkflowOperatorPath::initialize_root(), &exe_ctx)
        .await
        .unwrap();

        let qp = initialized_operator
            .query_processor()
            .unwrap()
            .multi_point()
            .unwrap();

        let spatial_bounds = BoundingBox2D::new(
            (10.0, 0.0).into(),  // -20 x values left of lower left of utm36n area of use
            (13.0, 42.0).into(), // -20 x values left of upper right of utm36n area of use
        )
        .unwrap();

        let qs = qp
            .vector_query(
                QueryRectangle {
                    spatial_bounds,
                    time_interval: TimeInterval::default(),
                    spatial_resolution: SpatialResolution::zero_point_one(),
                    attributes: ColumnSelection::all(),
                },
                &query_ctx,
            )
            .await
            .unwrap();

        let points = qs.map(Result::unwrap).collect::<Vec<_>>().await;

        assert_eq!(points.len(), 1);

        //let points = &points[0];

        //assert!(geoengine_datatypes::collections::FeatureCollectionInfos::is_empty(points));
        //assert!(points.coordinates().is_empty());
    }

    #[test]
    fn it_derives_raster_result_descriptor() {
        let in_proj = SpatialReference::epsg_4326();
        let out_proj = SpatialReference::from_str("EPSG:3857").unwrap();
        let bbox = Some(SpatialPartition2D::new_unchecked(
            (-180., 90.).into(),
            (180., -90.).into(),
        ));

        let resolution = Some(SpatialResolution::new_unchecked(0.1, 0.1));

        let (in_bounds, out_bounds, out_res) =
            InitializedRasterReprojection::derive_raster_in_bounds_out_bounds_out_res(
                in_proj, out_proj, resolution, bbox,
            )
            .unwrap();

        assert_eq!(
            in_bounds.unwrap(),
            SpatialPartition2D::new_unchecked((-180., 85.06).into(), (180., -85.06).into(),)
        );

        assert_eq!(
            out_bounds.unwrap(),
            out_proj
                .area_of_use_projected::<SpatialPartition2D>()
                .unwrap()
        );

        // TODO: y resolution should be double the x resolution, but currently we only compute a uniform resolution
        assert_eq!(
            out_res.unwrap(),
            SpatialResolution::new_unchecked(14_237.781_884_528_267, 14_237.781_884_528_267),
        );
    }
}

geo-engine / geoengine / 17203723508

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