use crate::{
    annotation::is_gnomad_and_constit_alt, collection::ShouldRun, create_should_run_normal_tumoral, init_solo_callers_normal_tumoral, io::bed::read_bed, positions::GenomeRange, scan::scan::SomaticScan, variant::{
        variant::{run_if_required, ShouldRunBox},
        variants_stats::somatic_depth_quality_ranges,
    }
};
use itertools::Itertools;
use log::info;
use rayon::slice::ParallelSliceMut;
use std::{
    collections::HashMap,
    fs::{self, File},
    io::Write,
    path::Path,
};

use crate::{
    annotation::{Annotation, Annotations, AnnotationsStats, Sample},
    callers::{
        clairs::ClairS, deep_somatic::DeepSomatic, deep_variant::DeepVariant, nanomonsv::NanomonSV,
        savana::Savana, severus::Severus,
    },
    collection::{Initialize, InitializeSolo},
    config::Config,
    create_should_run, init_somatic_callers,
    runners::Run,
    variant::{
        variant::{load_variants, CallerBox},
        variant_collection::{ExternalAnnotation, VariantCollection, Variants},
        variants_stats::VariantsStats,
    },
};

/// Runs the full somatic variant calling pipeline for a single sample (`id`).
///
/// This function orchestrates the entire somatic variant discovery process,
/// starting from raw variant caller outputs (`PASSED VCF`) and applying multiple filtering
/// and annotation steps to produce high-confidence somatic variants.
///
/// This function orchestrates the end-to-end somatic variant discovery process:
/// - Executes and verifies upstream components if necessary
/// - Loads variants from multiple callers (tumor and normal samples)
/// - Applies several annotation and filtering steps (e.g. depth, population frequency, entropy)
/// - Tracks filtering statistics at each step
/// - Outputs high-confidence somatic variants in both `.json.gz` and `.bit` formats
///
/// ## Output Overview
/// The final output includes:
/// - `{tumoral_dir}/{id}_somatic_variants.json.gz`: annotated somatic variants
/// - `{tumoral_dir}/{id}_somatic_variants.bit`: compact binary variant representation
/// - `{stats_dir}/`: multiple intermediate JSON files with annotations and statistics
///
/// ## Steps
///
/// This pipeline performs the following high-level steps:
///
/// ### 1. Output Existence Check
/// If the final JSON result already exists and [`Config::somatic_pipe_force`] is not set,
/// the pipeline aborts early to avoid overwriting results.
///
/// ### 2. Initialization
/// - Prepares statistics and output directories.
/// - Initializes variant annotations.
///
/// ### 3. Pre-requisite Tool Execution
/// Runs any required upstream components (e.g., alignment, basecalling, variant callers) if
/// their outputs are missing, using the [`run_if_required`] logic.
///
/// ### 4. Load Variant Collections
/// - Initializes the configured somatic variant callers and loads their output variants from PASSED VCF.
/// - Also loads germline variants (from [`ClairS::germline`]) for comparative germline filtering.
///
/// ### 5. Statistics Initialization
/// - Initializes a [`SomaticPipeStats`] object to track the number of variants at each step.
/// - Captures initial variant counts before filtering.
/// - Aggregates variant counts from all sources and stores initial annotations for quality control and
///   comparison before filtering.
///
/// ### 6. Filter: Germline & Solo Constitutional Variants
/// - Removes variants labeled as either Germline or Solo Constitutional, assuming they are unlikely to be somatic.
/// - Records count of removed variants in [`SomaticPipeStats::n_constit_germline`].
///
/// ### 7. Annotation: BAM Read Depth and Alt Allele Counts
/// - Uses the constitutional BAM file to annotate each variant with read depth and the number of alternate reads observed.
/// - Flags variants with low depth or excessive alt reads for filtering as specified in [`Config`].
///
/// ### 8. Filtering: Low Depth / High Alt Alleles
/// - Removes variants with low coverage in the constitutional sample, or excessive alt allele support (suggestive of germline origin).
/// - Updates stats:
///   - [`SomaticPipeStats::n_low_constit`]
///   - [`SomaticPipeStats::n_high_alt_constit`]
///
/// ### 9. Annotation: Sequence Entropy
/// Adds Shannon entropy annotation based on the reference sequence context
/// around each variant (cf. [`Config::entropy_seq_len`]) to flag low-complexity regions (often repetitive).
///
/// ### 10. Annotation: External Databases (COSMIC, GnomAD):
///  - Uses external resources to annotate variants with:
///    - COSMIC hits (somatic mutation database)
///    - GnomAD allele frequencies
///
/// ### 11. Filtering: GnomAD + Alt Support in Constitutional Sample
///  - Removes variants that are both present in GnomAD **and** show
///    alternate allele support in the constitutional BAM.
///    These are highly likely to be non-somatic germline polymorphisms.
///  - Updates [`SomaticPipeStats::n_high_alt_constit_gnomad`] stat.
///
/// ### 12. Filtering: Low Shannon Entropy:
///  - Removes variants from low-complexity regions with entropy below the configured threshold
///    (cf. [`Config::min_shannon_entropy`]).
///  - Updates [`SomaticPipeStats::n_low_entropies`].
///
/// ### 13. Annotation: VEP (Variant Effect Predictor)
///  Adds transcript-level annotations from Ensembl VEP, providing functional consequences,
///  impacted genes, and regulatory features.
///
/// ### 14. Merging
///  Merges variant collections into a unified [`Variants`] structure,
///  preserving annotations and applying deduplication logic.
///
/// ### 15. Final Statistics and Saving
///  - Saves final annotation stats, VEP summaries, and variant-level statistics.
///  - Exports the final somatic variant set to both compressed JSON and `.bit` formats.
///
/// # Returns
/// - `Ok(())` if all steps completed successfully.
/// - `Err` if any tool fails, if file I/O fails, or if logical conditions are violated (e.g., pre-existing output).
///
/// # Errors
/// - Returns early if the output file already exists and [`Config::somatic_pipe_force`] is `false`.
/// - Wraps all component-specific errors using `anyhow::Result` with context.
///
/// # Side Effects
/// - Runs external tools conditionally (e.g., [`ClairS`], [`DeepSomatic`]).
/// - Creates intermediate directories and annotation JSONs for debugging/QC.
/// - May consume significant compute time depending on the number of callers, annotations, and variants.
///
/// # TODOs
/// - Support compressed intermediate files (`// TODO: GZ !!!`)
/// - Improve filtering metrics reporting (currently not all filtered variants are tracked in final stats).
///
/// # Example Output Files
/// - `tumoral_dir/sample123_somatic_variants.json.gz`
/// - `tumoral_dir/sample123_somatic_variants.bit`
/// - `stats_dir/sample123_annotations_*.json` (intermediate annotation snapshots)
///
/// # See Also
/// - [`Annotations`] – core structure for managing per-variant metadata
/// - [`Variants`] – the merged final variant structure
/// - [`SomaticPipeStats`] – used for tracking variant counts throughout filtering
///
pub struct SomaticPipe {
    /// Unique identifier for the sample.
    pub id: String,
    /// Configuration parameters for the pipeline.
    pub config: Config,
}

impl Initialize for SomaticPipe {
    /// Initializes a new `Somatic` instance with default annotations.
    fn initialize(id: &str, config: crate::config::Config) -> anyhow::Result<Self> {
        let id = id.to_string();
        Ok(Self { id, config })
    }
}

impl ShouldRun for SomaticPipe {
    fn should_run(&self) -> bool {
        let tumoral_dir = self.config.tumoral_dir(&self.id);
        let path_str = format!("{}/{}_somatic_variants.bit", tumoral_dir, self.id);
        let path = Path::new(&path_str);

        !path.exists()
    }
}

impl Run for SomaticPipe {
    /// Executes the full somatic variant analysis pipeline.
    fn run(&mut self) -> anyhow::Result<()> {
        let config = self.config.clone();
        let id = self.id.clone();
        info!("Running somatic pipe for {id}.");

        // Define output paths for the final somatic variants
        let result_json = format!("{}/{id}_somatic_variants.json.gz", config.tumoral_dir(&id));
        let result_bit = format!("{}/{id}_somatic_variants.bit", config.tumoral_dir(&id));
        let result_vcf = format!("{}/{id}_somatic_variants.vcf.gz", config.tumoral_dir(&id));

        if Path::new(&result_bit).exists() && !config.somatic_pipe_force {
            return Err(anyhow::anyhow!(
                "Somatic Pipe output already exists for {id}."
            ));
        }

        let mut annotations = Annotations::default();

        // Create stats directory if it doesn't exist
        let stats_dir = config.somatic_pipe_stats(&id);
        if !Path::new(&stats_dir).exists() {
            fs::create_dir(&stats_dir)?;
        }

        // Initialize and run any pre-required input if necessary
        info!("Initialization prerequired pipe inputs...");

        let mut to_run_if_req = create_should_run!(
            &id,
            &config,
            SomaticScan,
            ClairS,
            NanomonSV,
            Severus,
            Savana,
            DeepSomatic
        );
        to_run_if_req.extend(create_should_run_normal_tumoral!(&id, &config, DeepVariant));

        info!("Running prerequired pipe components.");
        run_if_required(&mut to_run_if_req).map_err(|e| {
            anyhow::anyhow!("Failed to run a prerequired component of somatic pipe for {id}.\n{e}")
        })?;

        // Initialize variant callers
        let mut callers = init_somatic_callers!(
            &id,
            &config,
            ClairS,
            NanomonSV,
            Severus,
            Savana,
            DeepSomatic
        );

        callers.extend(init_solo_callers_normal_tumoral!(&id, &config, DeepVariant,));

        // Load variants from each caller
        info!("Loading variants.");
        let mut variants_collections = load_variants(&mut callers, &annotations)
            .map_err(|e| anyhow::anyhow!("Error while loading variants\n{e}"))?;

        // Load germline variants using ClairS
        info!("Loading germline variants.");
        let clairs_germline =
            ClairS::initialize(&id, self.config.clone())?.germline(&annotations)?;
        variants_collections.push(clairs_germline);

        // Initialize statistics
        let mut somatic_stats = SomaticPipeStats::init(&variants_collections);
        info!(
            "Variants collections loaded from {} vcf (total of {} variants loaded)",
            variants_collections.len(),
            variants_collections
                .iter()
                .map(|v| v.variants.len())
                .sum::<usize>()
        );

        // Initial annotation stats (caller annotations only)
        let caller_cat_anns = |v: &Annotation| matches!(v, Annotation::Callers(_, _));
        let annot_init = annotations.callers_stat(Some(Box::new(caller_cat_anns)));
        somatic_stats.annot_init(
            &annot_init,
            &format!("{stats_dir}/{id}_germline_filter.json"),
        )?;
        annot_init.save_to_json(&format!("{stats_dir}/{id}_annotations_01.json"))?;

        // Filter out germline and solo constitutional variants
        info!(
            "Keeping somatic variants (variants neither in solo {} nor in germline).",
            config.normal_name
        );
        somatic_stats.n_constit_germline =
            annotations.retain_variants(&mut variants_collections, |anns| {
                !anns.iter().any(|ann| {
                    matches!(
                        ann,
                        Annotation::Callers(_, Sample::Germline)
                            | Annotation::Callers(_, Sample::SoloConstit)
                    )
                })
            });
        annotations
            .callers_stat(Some(Box::new(caller_cat_anns)))
            .save_to_json(&format!(
                "{stats_dir}/{id}_annotations_02_post_germline.json"
            ))?;

        // MASK mapq
        let (mut high_depth_ranges, mut low_quality_ranges) =
            somatic_depth_quality_ranges(&id, &config)?;
        high_depth_ranges.par_sort_by_key(|r| (r.contig, r.range.start));
        low_quality_ranges.par_sort_by_key(|r| (r.contig, r.range.start));

        info!("ranges: {}", low_quality_ranges.len());

        variants_collections.iter_mut().for_each(|e | {
            let _ = e.annotate_with_ranges(&low_quality_ranges, &annotations, Annotation::LowMAPQ);
        });

        let n_masked_lowqual = annotations.retain_variants(&mut variants_collections, |anns| {
            anns.contains(&Annotation::LowMAPQ)
        });
        info!("N low mapq filtered: {}", n_masked_lowqual);

        // Annotate with depth and number of alternate reads from constitutional BAM
        info!("Reading Constit BAM file for depth and pileup annotation.");
        variants_collections.iter().try_for_each(|c| {
            c.annotate_with_constit_bam(&annotations, &self.config.normal_bam(&id), 150)
        })?;
        annotations.somatic_constit_boundaries(
            self.config.somatic_max_alt_constit,
            self.config.somatic_min_constit_depth,
        );
        annotations
            .callers_stat(Some(Box::new(|v| {
                matches!(
                    v,
                    Annotation::Callers(_, _)
                        | Annotation::ConstitAlt(_)
                        | Annotation::ConstitDepth(_)
                        | Annotation::HighConstitAlt
                        | Annotation::LowConstitDepth
                )
            })))
            .save_to_json(&format!("{stats_dir}/{id}_annotations_03_bam.json"))?;

        // Filter based on low constitutional depth
        info!(
            "Removing variants when depth in constit bam < {}.",
            self.config.somatic_min_constit_depth
        );
        somatic_stats.n_low_constit = annotations
            .retain_variants(&mut variants_collections, |anns| {
                !anns.contains(&Annotation::LowConstitDepth)
            });
        info!(
            "{} variants removed when depth in constit bam < {}.",
            somatic_stats.n_low_constit, self.config.somatic_min_constit_depth
        );

        // Filter: remove HighConstitAlt
        info!(
            "Removing variants with SNP/indel inside the constit alignements > {}",
            self.config.somatic_max_alt_constit
        );
        somatic_stats.n_high_alt_constit = annotations
            .retain_variants(&mut variants_collections, |anns| {
                !anns.contains(&Annotation::HighConstitAlt)
            });
        info!(
            "{} variants removed with SNP/indel inside the constit alignements > {}",
            somatic_stats.n_high_alt_constit, self.config.somatic_max_alt_constit
        );

        annotations
            .callers_stat(Some(Box::new(|v| {
                matches!(
                    v,
                    Annotation::Callers(_, _)
                        | Annotation::ConstitAlt(_)
                        | Annotation::ConstitDepth(_)
                )
            })))
            .save_to_json(&format!("{stats_dir}/{id}_annotations_04_bam_filter.json"))?;

        // Annotate variants with sequence entropy
        info!(
            "Entropy annotation from {} sequences.",
            self.config.reference
        );
        variants_collections.iter().for_each(|c| {
            c.annotate_with_sequence_context(
                &annotations,
                &self.config.reference,
                self.config.entropy_seq_len,
                self.config.somatic_pipe_threads,
            );
        });

        // Annotate with external databases like COSMIC and GnomAD
        info!("Annotation with external databases like COSMIC and GnomAD.");
        variants_collections
            .iter()
            .try_for_each(|c| -> anyhow::Result<()> {
                let ext_annot = ExternalAnnotation::init()?;
                ext_annot.annotate(&c.variants, &annotations)?;
                Ok(())
            })?;
        annotations
            .callers_stat(Some(Box::new(|v| {
                matches!(
                    v,
                    Annotation::Callers(_, _) | Annotation::ConstitAlt(_) | Annotation::GnomAD(_)
                )
            })))
            .save_to_json(&format!("{stats_dir}/{id}_annotations_05_gnomad.json"))?;

        // Filter: Remove variants present in GnomAD and have alt reads in constitutional sample
        info!("Filtering out variants in GnomAD and in constit bam at low AF.");
        somatic_stats.n_high_alt_constit_gnomad = annotations
            .retain_variants(&mut variants_collections, |anns| {
                !is_gnomad_and_constit_alt(anns)
            });

        info!(
            "{} variants filtered, with constit alt <= max contig alt ({}) and in GnomAD.",
            somatic_stats.n_high_alt_constit_gnomad, self.config.somatic_max_alt_constit
        );
        // TODO: These stats doesn't capture filter metrics !!!
        annotations
            .callers_stat(Some(Box::new(|v| {
                matches!(
                    v,
                    Annotation::Callers(_, _) | Annotation::ConstitAlt(_) | Annotation::GnomAD(_)
                )
            })))
            .save_to_json(&format!(
                "{stats_dir}/{id}_annotations_06_gnomad_filter.json"
            ))?;

        // Filter low entropy variants
        annotations.low_shannon_entropy(self.config.min_shannon_entropy);

        info!(
            "Filtering out variants with low entropies ({})",
            config.min_shannon_entropy
        );
        annotations
            .callers_stat(Some(Box::new(|v| {
                matches!(v, Annotation::Callers(_, _) | Annotation::LowEntropy)
            })))
            .save_to_json(&format!("{stats_dir}/{id}_annotations_07_entropy.json"))?;

        somatic_stats.n_low_entropies = annotations
            .retain_variants(&mut variants_collections, |anns| {
                !anns.contains(&Annotation::LowEntropy)
            });

        annotations
            .callers_stat(Some(Box::new(|v| matches!(v, Annotation::Callers(_, _)))))
            .save_to_json(&format!(
                "{stats_dir}/{id}_annotations_08_entropy_filter.json"
            ))?;

        // Final VEP annotation
        info!("Annotation with VEP.");
        variants_collections
            .iter()
            .try_for_each(|c| -> anyhow::Result<()> {
                let ext_annot = ExternalAnnotation::init()?;
                ext_annot.annotate_vep(&c.variants, &annotations)?;
                Ok(())
            })?;

        annotations
            .callers_stat(Some(Box::new(caller_cat_anns)))
            .save_to_json(&format!("{stats_dir}/{id}_annotations_09_vep.json"))?;

        annotations.vep_stats()?;

        // Merge all variants into a final collection
        let mut variants = variants_collections.into_iter().fold(
            Variants::default(),
            |mut acc, variants_collection| {
                acc.merge(variants_collection, &annotations);
                acc
            },
        );

        let vep_stats = annotations.vep_stats()?;
        vep_stats.save_to_json(&format!("{stats_dir}/{id}_annotations_10_vep.json"))?;

        VariantsStats::new(&mut variants, &id, &config, &high_depth_ranges)?
            .save_to_json(&format!("{stats_dir}/{id}_variants_stats_final.json.gz"))?;

        info!("Final unique variants: {}", variants.data.len());

        // Ensure sorted (should already be sorted)
        variants.sort();

        let vntrs: Vec<GenomeRange> = read_bed("/data/ref/hs1/vntrs_chm13.bed")?.iter().map(|r| r.range.clone()).collect();
        variants.annotate_with_ranges(&vntrs, Some(Annotation::VNTR), 0, Vec::new());

        let repeat_masker: Vec<GenomeRange> = read_bed("/data/ref/hs1/chm13v2.0_RepeatMasker_4.1.2p1.2022Apr14.bed")?.iter().map(|r| r.range.clone()).collect();
        variants.annotate_with_ranges(&repeat_masker, Some(Annotation::RepeatMasker), 0, Vec::new());

        variants.save_to_json(&result_json)?;
        variants.save_to_file(&result_bit)?;
        variants.write_vcf(&result_vcf, &config.dict_file, config.somatic_pipe_force)?;

        Ok(())
    }
}

pub fn const_stats(id: String, config: Config) -> anyhow::Result<()> {
    info!("Loading Germline");
    let annotations = Annotations::default();
    let clairs_germline = ClairS::initialize(&id, config.clone())?.germline(&annotations)?;

    info!("Annotation with Cosmic and GnomAD.");
    let ext_annot = ExternalAnnotation::init()?;
    ext_annot.annotate(&clairs_germline.variants, &annotations)?;

    let mut variants = Variants::default();
    variants.merge(clairs_germline, &annotations);
    info!("-- {}", variants.data.len());

    // let u = VariantsStats::new(&mut variants, &id, &config)?;
    // info!("++ {}", u.n);

    Ok(())
}

/// Holds statistical data for somatic variant pipeline processing,
/// including summary counts and input categorization.
#[derive(Debug, Default, Clone)]
pub struct SomaticPipeStats {
    /// Summary of input variant collections grouped by sample type.
    pub input: InputStats,

    /// Number of variants labeled as both constitutional and germline.
    pub n_constit_germline: usize,

    /// Number of variants in constitutional samples with low allele frequency.
    pub n_low_constit: usize,

    /// Number of variants in constitutional samples with high alternative allele count.
    pub n_high_alt_constit: usize,

    /// Number of high-alt constitutional variants that are also found in gnomAD.
    pub n_high_alt_constit_gnomad: usize,

    /// Number of variants filtered due to low entropy (indicative of low complexity regions).
    pub n_low_entropies: usize,
}

impl SomaticPipeStats {
    /// Initializes a `SomaticPipeStats` object with populated `InputStats` based on the
    /// provided `VariantCollection`s.
    pub fn init(collections: &[VariantCollection]) -> Self {
        Self {
            input: InputStats::from_collections(collections),
            ..Default::default()
        }
    }

    /// Generates a tumor-vs-germline annotation matrix and writes it to a JSON file.
    ///
    /// This method analyzes co-occurrence patterns between tumor and germline/constit
    /// variant callers by iterating through annotation statistics from `AnnotationsStats`.
    /// It builds a matrix where each row corresponds to a **tumor caller** and each column
    /// corresponds to a **germline or constitutional caller**. Each cell contains the number
    /// of variant calls that were annotated by both the tumor and the germline/constit caller.
    ///
    /// In addition to writing a structured JSON file to the specified path, the function also
    /// prints a tab-separated human-readable matrix to stdout for convenience.
    ///
    /// # Parameters
    ///
    /// - `stats`: A reference to [`AnnotationsStats`] containing categorical annotations.
    ///   This object holds a frequency map where keys are combinations of `Annotation`
    ///   values (serialized as strings) and values are occurrence counts.
    /// - `json_path`: The path where the resulting JSON output file should be written.
    ///
    /// # Output Formats
    ///
    /// ## JSON Output (`json_path`)
    ///
    /// The output JSON is an **array of tumor caller records**, each containing:
    /// - `caller_name`: The name of the tumor caller (as a string).
    /// - `germline`: An array of JSON objects, each with one key-value pair,
    ///   where the key is a germline/constit caller (or combination) and the value is the count.
    ///
    /// ### Example
    /// ```json
    /// [
    ///   {
    ///     "caller_name": "DeepVariant SoloTumor",
    ///     "germline": [
    ///       {"ClairS Germline": 99978},
    ///       {"ClairS Germline + DeepVariant SoloConstit": 4710570}
    ///     ]
    ///   },
    ///   {
    ///     "caller_name": "ClairS Somatic",
    ///     "germline": [
    ///       {"ClairS Germline": 944},
    ///       {"ClairS Germline + DeepVariant SoloConstit": 362}
    ///     ]
    ///   }
    /// ]
    /// ```
    ///
    /// ## Console Output (TSV)
    ///
    /// A tab-separated matrix is printed to stdout. Each row begins with a tumor caller,
    /// followed by columns showing germline/constit caller combinations and their counts.
    ///
    /// # Notes
    /// - Tumor callers are collected from `self.input.somatic` and `self.input.solo_tumor`.
    /// - Germline/constit callers are collected from `self.input.germline` and `self.input.solo_constit`.
    /// - Keys in the original `AnnotationsStats` map are split using `" + "` and parsed into `Annotation` enums.
    /// - Germline keys are sorted and joined to form canonical column labels.
    /// - Tumor and germline annotations are matched by exact `Annotation` equality.
    ///
    /// # Errors
    /// Returns an error if:
    /// - Any annotation key in `AnnotationsStats` fails to parse into a valid `Annotation`.
    /// - The JSON output file cannot be created or written to.
    ///
    /// # Dependencies
    /// Requires that `Annotation` implements `FromStr`, `ToString`, `PartialEq`, and `Clone`.
    ///
    /// # Example Usage
    /// ```rust
    /// let mut stats = SomaticPipeStats::init(&collections);
    /// stats.annot_init(&annotation_stats, "output/matrix.json")?;
    /// ```
    pub fn annot_init(&self, stats: &AnnotationsStats, json_path: &str) -> anyhow::Result<()> {
        // Parse annotations from stats
        let stats: Vec<(Vec<Annotation>, u64)> = stats
            .categorical
            .iter()
            .map(|e| {
                let anns = e
                    .key()
                    .split(" + ")
                    .map(|k| k.parse())
                    .collect::<anyhow::Result<Vec<Annotation>>>()
                    .map_err(|err| {
                        anyhow::anyhow!("Error while splitting key in AnnotationsStats.\n{err}")
                    })?;
                Ok((anns, *e.value()))
            })
            .collect::<anyhow::Result<Vec<(Vec<Annotation>, u64)>>>()?;

        // Collect tumor and germline callers from input stats
        let callers_somatic_solo_tumor = [
            self.input
                .somatic
                .iter()
                .map(|(caller, _)| caller.clone())
                .collect::<Vec<Annotation>>(),
            self.input
                .solo_tumor
                .iter()
                .map(|(caller, _)| caller.clone())
                .collect(),
        ]
        .concat();

        let callers_germline_solo_constit = [
            self.input
                .germline
                .iter()
                .map(|(caller, _)| caller.clone())
                .collect::<Vec<Annotation>>(),
            self.input
                .solo_constit
                .iter()
                .map(|(caller, _)| caller.clone())
                .collect(),
        ]
        .concat();

        // Build a matrix of tumor vs germline hits
        let mut with_germline: HashMap<String, HashMap<String, u64>> = HashMap::new();
        stats.iter().for_each(|(anns, v)| {
            // Only proceed if this annotation includes a germline/constit sample
            if anns.iter().any(|a| {
                matches!(
                    a,
                    Annotation::Callers(_, Sample::SoloConstit)
                        | Annotation::Callers(_, Sample::Germline)
                )
            }) {
                // Find all tumor callers present in this annotation set
                let n_by_tumor: Vec<(String, u64)> = callers_somatic_solo_tumor
                    .iter()
                    .flat_map(|tumor| {
                        if anns.contains(tumor) {
                            vec![(tumor.to_string(), *v)]
                        } else {
                            vec![]
                        }
                    })
                    .collect();

                // Build a normalized germline key
                let mut germline_caller: Vec<String> = callers_germline_solo_constit
                    .iter()
                    .flat_map(|germ| {
                        if anns.contains(germ) {
                            vec![germ.to_string()]
                        } else {
                            vec![]
                        }
                    })
                    .collect();
                germline_caller.sort();
                let germline_caller = germline_caller.join(" + ");

                // Update matrix: tumor -> germline -> count
                n_by_tumor.iter().for_each(|(tumoral_caller, n)| {
                    if let Some(row) = with_germline.get_mut(tumoral_caller) {
                        if let Some(col) = row.get_mut(&germline_caller) {
                            *col += *n;
                        } else {
                            row.insert(germline_caller.to_string(), *n);
                        }
                    } else {
                        let mut row = HashMap::new();
                        row.insert(germline_caller.to_string(), *n);
                        with_germline.insert(tumoral_caller.to_string(), row);
                    }
                });
            }
        });

        // Extract all unique germline caller labels
        let mut germlines_callers: Vec<String> = with_germline
            .iter()
            .flat_map(|(_, r)| {
                r.iter()
                    .map(|(k, _)| k.to_string())
                    .collect::<Vec<String>>()
            })
            .collect();
        germlines_callers.sort();
        germlines_callers.dedup();

        // Print a readable tab-separated matrix
        let mut json = Vec::new();
        let mut lines: Vec<String> = with_germline
            .iter()
            .map(|(tumor, row)| {
                json.push(format!(
                    "{{\"caller_name\": \"{tumor}\", \"germline\": [{}] }}",
                    germlines_callers
                        .iter()
                        .map(|g| {
                            let v = row.get(g).unwrap_or(&0);
                            format!("{{\"{g}\": {v}}}")
                        })
                        .join(", ")
                ));
                format!(
                    "{tumor}\t{}",
                    germlines_callers
                        .iter()
                        .map(|g| {
                            let v = row.get(g).unwrap_or(&0);
                            format!("{g}: {v}")
                        })
                        .join("\t")
                )
            })
            .collect();
        lines.sort();
        println!("{}", lines.join("\n"));

        // Write JSON to file
        let json = format!("[{}]", json.join(", "));
        let mut file = File::create(json_path)?;
        file.write_all(json.as_bytes())?;

        Ok(())
    }
}

/// Aggregated statistics on variant collections, grouped by sample type.
///
/// The `InputStats` struct stores the number of variants observed for each
/// caller, categorized by biological sample type:
///
/// - `solo_tumor`: Variants from tumor-only samples.
/// - `solo_constit`: Variants from normal-only (constitutional) samples.
/// - `germline`: Variants classified as germline (shared between normal and tumor).
/// - `somatic`: Variants classified as somatic (tumor-specific).
///
/// Each vector contains tuples of the form `(Annotation, usize)`, where:
/// - `Annotation` identifies the caller and sample type.
/// - `usize` represents the number of variants for that annotation.
#[derive(Debug, Default, Clone)]
pub struct InputStats {
    /// Variants from tumor-only samples.
    pub solo_tumor: Vec<(Annotation, usize)>,

    /// Variants from normal-only (constitutional) samples.
    pub solo_constit: Vec<(Annotation, usize)>,

    /// Germline variants (present in both normal and tumor).
    pub germline: Vec<(Annotation, usize)>,

    /// Somatic variants (specific to tumor).
    pub somatic: Vec<(Annotation, usize)>,
}

impl InputStats {
    /// Constructs an `InputStats` instance by aggregating variant counts
    /// from a list of [`VariantCollection`]s.
    ///
    /// Each `VariantCollection` is inspected to determine its sample type,
    /// as indicated by the `Annotation::Callers(_, Sample)` variant. The
    /// number of variants (`collection.variants.len()`) is recorded in the
    /// appropriate field of `InputStats`, grouped by `Sample`.
    ///
    /// # Parameters
    ///
    /// - `collections`: A slice of [`VariantCollection`] objects containing
    ///   variants annotated with a caller and sample type.
    ///
    /// # Returns
    ///
    /// A populated `InputStats` instance with counts per (caller, sample type).
    ///
    /// # Examples
    ///
    /// ```
    /// let collections: Vec<VariantCollection> = load_collections();
    /// let stats = InputStats::from_collections(&collections);
    /// println!("Somatic calls: {:?}", stats.somatic);
    /// ```
    pub fn from_collections(collections: &[VariantCollection]) -> Self {
        let mut stats = Self::default();
        for collection in collections.iter() {
            match collection.caller {
                Annotation::Callers(_, Sample::SoloTumor) => stats
                    .solo_tumor
                    .push((collection.caller.clone(), collection.variants.len())),
                Annotation::Callers(_, Sample::SoloConstit) => stats
                    .solo_constit
                    .push((collection.caller.clone(), collection.variants.len())),
                Annotation::Callers(_, Sample::Germline) => stats
                    .germline
                    .push((collection.caller.clone(), collection.variants.len())),
                Annotation::Callers(_, Sample::Somatic) => stats
                    .somatic
                    .push((collection.caller.clone(), collection.variants.len())),
                _ => (),
            };
        }
        stats
    }
}