//! # DeepVariant Variant Calling Pipeline
//!
//! This module provides a pipeline runner for [DeepVariant](https://github.com/google/deepvariant),
//! a deep learning-based variant caller.
//!
//! ## Overview
//!
//! DeepVariant performs variant calling on a single sample BAM file using:
//!
//! - CNN-based variant classification
//! - Haploid calling for sex chromosomes (configurable by karyotype)
//! - Containerized execution via Singularity/Apptainer
//!
//! ## Key Features
//!
//! - **Deep learning-based** - CNN models trained on diverse sequencing platforms
//! - **Karyotype-aware** - Automatically calls X/Y as haploid based on sample sex
//! - **Solo mode** - Single-sample germline variant calling
//! - **Platform flexibility** - Supports ONT, PacBio, and Illumina
//! - **Parallel execution** - Genome chunking for HPC scalability
//!
//! ## Requirements
//!
//! Before running DeepVariant, ensure:
//! - BAM file is indexed (`.bai` file present)
//! - Reference genome is accessible
//! - Singularity/Docker image is available
//! - Model type matches sequencing platform (`config.deepvariant_model_type`)
//!
//! ## Execution Modes
//!
//! Execution mode is automatically selected via `config.slurm_runner`:
//!
//! - **Local** — Single-node execution
//! - **Slurm** — HPC job submission
//!
//! Both modes support chunked parallel execution via [`run_deepvariant_chunked_with_merge`].
//!
//! ## Output Files
//!
//! PASS-filtered variants:
//! ```text
//! {result_dir}/{id}/deepvariant/{id}_{time_point}_DeepVariant.pass.vcf.gz
//! ```
//!
//! ## Usage
//!
//! ### Chunked Parallel Execution (Recommended for WGS)
//!
//! ```ignore
//! use pandora_lib_promethion::callers::deep_variant::run_deepvariant_chunked_with_merge;
//! use pandora_lib_promethion::config::Config;
//!
//! let config = Config::default();
//! // Run DeepVariant in 30 parallel chunks for "norm" time point
//! let outputs = run_deepvariant_chunked_with_merge("sample_001", "norm", &config, 30)?;
//! # Ok::<(), anyhow::Error>(())
//! ```
//!
//! ### Single-Run Execution
//!
//! ```ignore
//! use pandora_lib_promethion::callers::deep_variant::DeepVariant;
//! use pandora_lib_promethion::config::Config;
//! use pandora_lib_promethion::pipes::InitializeSolo;
//! use pandora_lib_promethion::runners::Run;
//!
//! let config = Config::default();
//! let mut caller = DeepVariant::initialize("sample_001", "norm", &config)?;
//!
//! if caller.should_run() {
//!     caller.run()?;
//! }
//!
//! // Load variants
//! let variants = caller.variants(&annotations)?;
//! println!("Found {} germline variants", variants.variants.len());
//! # Ok::<(), anyhow::Error>(())
//! ```
//!
//! ## References
//!
//! - [DeepVariant GitHub repository](https://github.com/google/deepvariant)
//! - [DeepVariant publication (Nature Biotechnology, 2018)](https://doi.org/10.1038/nbt.4235)
use anyhow::Context;
use log::{debug, info};
use rayon::iter::{IntoParallelRefIterator, ParallelIterator};
use regex::Regex;
use rust_htslib::bam::{self, Read};
use std::{
    fmt, fs,
    path::{Path, PathBuf},
    process::{Command as ProcessCommand, Stdio},
};
use uuid::Uuid;

use crate::{
    annotation::{Annotation, Annotations, Caller, CallerCat, Sample},
    collection::{
        bam_stats::{Karyotype, WGSBamStats},
        vcf::Vcf,
    },
    commands::{
        bcftools::{BcftoolsConcat, BcftoolsKeepPass},
        LocalBatchRunner, SlurmRunner,
    },
    config::Config,
    helpers::{
        get_genome_sizes, is_file_older, remove_dir_if_exists, singularity_bind_flags,
        split_genome_into_n_regions_exact,
    },
    io::vcf::read_vcf,
    locker::SampleLock,
    pipes::{InitializeSolo, ShouldRun, Version},
    run, run_many,
    runners::Run,
    variant::{
        variant_collection::VariantCollection,
        vcf_variant::{Label, Variants},
    },
};

use crate::commands::{
    Command as JobCommand, // your trait
    LocalRunner,
    SbatchRunner,
    SlurmParams,
};

/// DeepVariant solo (single-sample) variant caller.
///
/// Executes DeepVariant for germline variant calling on a single BAM file.
/// Supports karyotype-aware calling for accurate sex chromosome genotyping.
///
/// # Fields
///
/// - `id` - Sample identifier (e.g., "34528")
/// - `time_point` - Time point label: typically `config.normal_name` ("norm") or `config.tumoral_name` ("diag")
/// - `regions` - Genomic regions to process (e.g., "chr1 chr2 chr3" or "chr1:1-1000000")
/// - `log_dir` - Directory for execution logs (e.g., "{result_dir}/{id}/log/deepvariant")
/// - `config` - Global pipeline configuration
/// - `part_index` - Optional chunk index for parallel execution (e.g., `Some(3)` for part 3 of N)
/// - `karyotype` - Sex karyotype for haploid calling on X/Y chromosomes (XX or XY)
///
/// # Execution Modes
///
/// - **Local** - Direct execution via `run_local()`
/// - **Slurm** - Single job submission via `run_sbatch()`
/// - **Chunked** - Parallel genome-wide execution via [`run_deepvariant_chunked_with_merge`]
///
/// # Karyotype-Aware Calling
///
/// DeepVariant automatically adjusts ploidy based on `karyotype`:
/// - **XY karyotype**: chrX and chrY called as haploid
/// - **XX karyotype**: chrX called as diploid, chrY skipped
#[derive(Debug, Clone)]
pub struct DeepVariant {
    /// Sample identifier
    pub id: String,

    /// Time point identifier (e.g., "norm" or "diag")
    pub time_point: String,

    /// Space-separated list of genomic regions to process
    pub regions: String,

    /// Directory for log file storage
    pub log_dir: String,

    /// Global pipeline configuration
    pub config: Config,

    /// Optional part index for chunked parallel runs (1-indexed)
    pub part_index: Option<usize>,

    /// Sex karyotype for haploid contig handling (XX or XY)
    pub karyotype: Karyotype,
}

impl fmt::Display for DeepVariant {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        writeln!(f, "🧬 DeepVariant Solo")?;
        writeln!(f, "   Case ID    : {}", self.id)?;
        writeln!(f, "   Time point : {}", self.time_point)?;
        writeln!(f, "   Regions    : {}", self.regions)?;
        writeln!(f, "   Log dir    : {}", self.log_dir)?;
        writeln!(
            f,
            "   Part       : {}",
            self.part_index
                .map_or("full".into(), |n| format!("part{n}"))
        )?;
        writeln!(f, "   Karyotype  : {}", self.karyotype)
    }
}

impl InitializeSolo for DeepVariant {
    /// Initializes a DeepVariant runner for a specific sample and time point.
    ///
    /// Creates necessary directory structures and optionally cleans up previous runs
    /// when [`Config::deepvariant_force`] is set.
    ///
    /// # Arguments
    ///
    /// * `id` - Sample identifier
    /// * `time_point` - Either normal or tumor label for this run
    /// * `config` - Global pipeline configuration
    ///
    /// # Returns
    ///
    /// A configured [`DeepVariant`] instance ready for execution.
    ///
    /// # Errors
    ///
    /// Returns an error if directory cleanup fails when force mode is enabled.
    fn initialize(id: &str, time_point: &str, config: &Config) -> anyhow::Result<Self> {
        let id = id.to_string();
        let time_point = time_point.to_string();

        // Validate time_point matches configured names
        anyhow::ensure!(
            time_point == config.normal_name || time_point == config.tumoral_name,
            "Invalid time_point '{}': must be either '{}' (normal) or '{}' (tumor)",
            time_point,
            config.normal_name,
            config.tumoral_name
        );

        let karyotype = WGSBamStats::open(&id, &time_point, config)?.karyotype()?;

        info!("Initializing DeepVariant for {id} {time_point}.");

        let log_dir = format!("{}/{}/log/deepvariant", config.result_dir, &id);
        let regions = (1..=22)
            .map(|i| format!("chr{i}"))
            .chain(["chrX", "chrY", "chrM"].into_iter().map(String::from))
            .collect::<Vec<String>>();

        let deepvariant = Self {
            id,
            time_point,
            log_dir,
            config: config.clone(),
            regions: regions.join(" "),
            part_index: None,
            karyotype,
        };

        if deepvariant.config.deepvariant_force {
            remove_dir_if_exists(
                &deepvariant
                    .config
                    .deepvariant_output_dir(&deepvariant.id, &deepvariant.time_point),
            )?;
        }

        Ok(deepvariant)
    }
}

impl ShouldRun for DeepVariant {
    /// Determines whether DeepVariant should be (re)run.
    ///
    /// Compares the modification time of the input BAM against the output
    /// PASS-filtered VCF. Returns `true` if:
    /// - The output VCF does not exist
    /// - The output VCF is older than the input BAM
    ///
    /// # Implementation Note
    ///
    /// This is a conservative check—any error during timestamp comparison
    /// results in `true` (i.e., re-run).
    fn should_run(&self) -> bool {
        let passed_vcf = self
            .config
            .deepvariant_solo_passed_vcf(&self.id, &self.time_point);
        let bam = self.config.solo_bam(&self.id, &self.time_point);
        let result = is_file_older(&passed_vcf, &bam, true).unwrap_or(true);
        if result {
            info!(
                "DeepVariant should run for: {} {}.",
                self.id, self.time_point
            );
        }
        result
    }
}

impl JobCommand for DeepVariant {
    /// Initializes output and log directories for this run.
    ///
    /// # Errors
    ///
    /// Returns an error if directory creation fails.
    fn init(&mut self) -> anyhow::Result<()> {
        // Part-specific output dir
        let output_dir = self.part_output_dir();

        fs::create_dir_all(&output_dir).context(format!("Failed to create dir: {output_dir}"))?;

        // log dir
        fs::create_dir_all(&self.log_dir)
            .context(format!("Failed to create dir: {}", self.log_dir))?;

        Ok(())
    }

    /// Generates the DeepVariant command string for Singularity execution.
    ///
    /// The command binds the output directory and runs DeepVariant with:
    /// - Configured model type
    /// - Haploid calling for sex chromosomes
    /// - VCF stats report generation
    fn cmd(&self) -> String {
        let bam = self.config.solo_bam(&self.id, &self.time_point);
        let output_dir = self.part_output_dir();
        let output_vcf_path = self.output_vcf_path();

        // Part-specific log subdir to avoid collision
        let log_subdir = match self.part_index {
            Some(idx) => format!("{}_{}_DeepVariant_part{idx}_logs", self.id, self.time_point),
            None => format!("{}_{}_DeepVariant_logs", self.id, self.time_point),
        };

        let sample_name = format!("{}_{}", self.id, self.time_point);
        let output_vcf = format!(
            "/output/{}",
            Path::new(&output_vcf_path)
                .file_name()
                .unwrap()
                .to_string_lossy()
        );

        // Build haploid_contigs flag only for XY karyotype
        let haploid_flag = match self.karyotype {
            Karyotype::XY => "--haploid_contigs='chrX,chrY' \\",
            Karyotype::XX => "", // No haploid contigs for XX
        };

        let bind_flags = singularity_bind_flags([
            &bam,
            &self.config.reference,
            &self.config.pseudoautosomal_regions_bed,
            &output_dir,
            &self.log_dir,
            &self.config.tmp_dir,
        ]);

        format!(
            "{singularity_bin} exec \
            {binds} \
            --bind {output_dir}:/output \
            {image} \
            /opt/deepvariant/bin/run_deepvariant \
            --model_type={model_type} \
            --ref={reference} \
            --reads={bam} \
            --regions=\"{regions}\" \
            {haploid_flag} \
            --par_regions_bed={par_bed} \
            --output_vcf={output_vcf} \
            --num_shards={threads} \
            --vcf_stats_report=true \
            --postprocess_cpus={postprocess_cpus} \
            --logging_dir=/output/{log_dir} \
            --dry_run=false \
            --sample_name={sample_name}",
            singularity_bin = self.config.singularity_bin,
            binds = bind_flags,
            output_dir = output_dir,
            image = self.config.deepvariant_image,
            model_type = self.config.deepvariant_model_type,
            reference = self.config.reference,
            bam = bam,
            regions = self.regions,
            par_bed = self.config.pseudoautosomal_regions_bed,
            // we mount output_dir as /output; just rewrite path here:
            output_vcf = output_vcf,
            threads = self.config.deepvariant_threads,
            log_dir = log_subdir,
            postprocess_cpus = self.config.deepvariant_threads,
            sample_name = sample_name,
        )
    }
}

impl LocalRunner for DeepVariant {}
impl LocalBatchRunner for DeepVariant {}

impl SlurmRunner for DeepVariant {
    fn slurm_args(&self) -> Vec<String> {
        let batch_id = self.part_index.map(|i| format!("_{i}")).unwrap_or_default();
        SlurmParams {
            job_name: Some(format!(
                "deepvariant_{}_{}{}",
                self.id, self.time_point, batch_id
            )),
            cpus_per_task: Some(self.config.deepvariant_threads.into()),
            mem: Some("40G".into()),
            partition: Some("shortq".into()),
            gres: None,
        }
        .to_args()
    }
}
impl SbatchRunner for DeepVariant {
    fn slurm_params(&self) -> SlurmParams {
        let batch_id = self.part_index.map(|i| format!("_{i}")).unwrap_or_default();
        SlurmParams {
            job_name: Some(format!(
                "deepvariant_{}_{}{}",
                self.id, self.time_point, batch_id
            )),
            cpus_per_task: Some(self.config.deepvariant_threads.into()),
            mem: Some("40G".into()),
            partition: Some("shortq".into()),
            gres: None,
        }
    }
}

impl DeepVariant {
    /// Returns the per-part output directory.
    ///
    /// For partitioned runs, creates an isolated subdirectory to prevent
    /// intermediate file collisions between parallel jobs.
    fn part_output_dir(&self) -> String {
        let base_dir = self
            .config
            .deepvariant_output_dir(&self.id, &self.time_point);

        match self.part_index {
            Some(idx) => format!("{base_dir}/part{idx}"),
            None => base_dir,
        }
    }

    /// Returns the output VCF path for this run.
    ///
    /// For partitioned runs, the file is placed in a part-specific subdirectory.
    fn output_vcf_path(&self) -> String {
        let output_dir = self.part_output_dir();

        format!(
            "{output_dir}/{}_{}_DeepVariant.vcf.gz",
            self.id, self.time_point
        )
    }

    /// Returns the PASS-filtered VCF path.
    ///
    /// - For partitioned runs: part-specific path for intermediate PASS VCF
    /// - For single runs or final output: canonical path from config
    ///
    /// The final merged PASS VCF always uses the canonical path regardless
    /// of whether it was produced by a single run or merged from parts.
    fn passed_vcf_path(&self) -> String {
        match self.part_index {
            Some(_) => {
                // Part runs: intermediate PASS VCF in part-specific directory
                self.output_vcf_path().replace(".vcf.gz", ".pass.vcf.gz")
            }
            None => {
                // Single run or final merged output: canonical path
                self.config
                    .deepvariant_solo_passed_vcf(&self.id, &self.time_point)
            }
        }
    }

    /// Filters variants to keep only PASS entries.
    fn filter_pass(&self) -> anyhow::Result<()> {
        let output_vcf = self.output_vcf_path();
        let vcf_passed = self.passed_vcf_path();

        info!(
            "Filtering PASS variants for {} {} (part: {:?})",
            self.id, self.time_point, self.part_index
        );

        let mut cmd = BcftoolsKeepPass::from_config(&self.config, output_vcf, vcf_passed);
        let report = run!(&self.config, &mut cmd)?;

        report
            .save_to_file(format!("{}/bcftools_pass_", self.log_dir))
            .context("Can't save bcftools PASS logs")?;

        Ok(())
    }
}

impl Run for DeepVariant {
    fn run(&mut self) -> anyhow::Result<()> {
        let lock_dir = format!("{}/locks", self.config.result_dir);
        let _lock = SampleLock::acquire(&lock_dir, &self.id, "deepvariant")
            .with_context(|| format!("Cannot start DeepVariant chunked for {}", self.id))?;

        if !self.should_run() {
            info!("DeepVariant is up-to-data.");
            return Ok(());
        }

        if self.config.slurm_runner {
            run_deepvariant_chunked(&self.id, &self.time_point, &self.config, 30)
        } else {
            run!(&self.config, self)?;
            self.filter_pass()
        }
    }
}

impl CallerCat for DeepVariant {
    /// Returns the caller annotation category based on time point.
    ///
    /// Maps the time point to either [`Sample::SoloConstit`] (normal) or
    /// [`Sample::SoloTumor`] (tumoral).
    ///
    /// # Safety
    ///
    /// The time_point is validated during initialization, so this can never fail.
    /// If it does, it indicates a serious logic error in the code.
    fn caller_cat(&self) -> Annotation {
        let Config {
            normal_name,
            tumoral_name,
            ..
        } = &self.config;
        if *normal_name == self.time_point {
            Annotation::Callers(Caller::DeepVariant, Sample::SoloConstit)
        } else if *tumoral_name == self.time_point {
            Annotation::Callers(Caller::DeepVariant, Sample::SoloTumor)
        } else {
            // SAFETY: time_point is validated in initialize() to be either normal_name or tumoral_name.
            // If we reach here, it's a logic error in the code, not a user error.
            unreachable!(
                "Invalid time_point '{}': expected '{}' or '{}'. This should have been caught during initialization.",
                self.time_point, normal_name, tumoral_name
            )
        }
    }
}

impl Variants for DeepVariant {
    /// Loads variants from the DeepVariant PASS-filtered VCF.
    ///
    /// Reads the VCF, registers each variant in the annotation store with
    /// the appropriate caller tag, and returns a [`VariantCollection`].
    ///
    /// # Arguments
    ///
    /// * `annotations` - Mutable annotation registry for tagging variants
    ///
    /// # Returns
    ///
    /// A [`VariantCollection`] containing:
    /// - Parsed variant records
    /// - Source VCF metadata
    /// - Caller identification
    ///
    /// # Errors
    ///
    /// Returns an error if:
    /// - VCF file cannot be read or parsed
    /// - VCF metadata extraction fails
    fn variants(&self, annotations: &Annotations) -> anyhow::Result<VariantCollection> {
        let caller = self.caller_cat();
        let vcf_passed = self
            .config
            .deepvariant_solo_passed_vcf(&self.id, &self.time_point);
        info!("Loading variants from {caller}: {vcf_passed}");
        let variants = read_vcf(&vcf_passed)
            .map_err(|e| anyhow::anyhow!("Failed to read DeepVariant VCF {}.\n{e}", vcf_passed))?;
        variants.par_iter().for_each(|v| {
            annotations.insert_update(v.hash(), std::slice::from_ref(&caller));
        });
        info!("{}, {} variants loaded.", caller, variants.len());
        Ok(VariantCollection {
            variants,
            vcf: Vcf::new(vcf_passed.clone().into()).map_err(|e| {
                anyhow::anyhow!(
                    "Error while creating a VCF representation for {}.\n{e}",
                    vcf_passed
                )
            })?,
            caller,
        })
    }
}

impl Label for DeepVariant {
    /// Returns a string label for this caller (e.g., "DeepVariant_SoloConstit").
    fn label(&self) -> String {
        self.caller_cat().to_string()
    }
}

impl Version for DeepVariant {
    /// Retrieves the DeepVariant version via local Singularity execution.
    ///
    /// # Errors
    ///
    /// Returns an error if:
    /// - Singularity execution fails
    /// - Version string cannot be parsed from output
    fn version(config: &Config) -> anyhow::Result<String> {
        let out = ProcessCommand::new("bash")
            .arg("-c")
            .arg(format!(
                "{} exec {} /opt/deepvariant/bin/run_deepvariant --version",
                config.singularity_bin, config.deepvariant_image
            ))
            .stdout(Stdio::piped())
            .stderr(Stdio::piped())
            .output()
            .context("failed to spawn singularity")?;

        if !out.status.success() {
            let mut log = String::from_utf8_lossy(&out.stdout).to_string();
            log.push_str(&String::from_utf8_lossy(&out.stderr));
            anyhow::bail!("singularity exec failed: {}\n{}", out.status, log);
        }

        let combined = format!(
            "{}{}",
            String::from_utf8_lossy(&out.stdout),
            String::from_utf8_lossy(&out.stderr)
        );

        parse_deepvariant_version(&combined)
    }

    /// Retrieves the DeepVariant version via Slurm job submission.
    ///
    /// Useful when local GPU access is unavailable but Slurm has GPU nodes.
    ///
    /// # Errors
    ///
    /// Returns an error if job submission fails or version cannot be parsed.
    fn version_slurm(config: &Config) -> anyhow::Result<String> {
        // Minimal Slurm job just to run the version command
        struct DeepVariantVersionJob<'a> {
            config: &'a Config,
        }

        impl<'a> JobCommand for DeepVariantVersionJob<'a> {
            fn cmd(&self) -> String {
                format!(
                    "{} exec {} /opt/deepvariant/bin/run_deepvariant --version",
                    self.config.singularity_bin, self.config.deepvariant_image
                )
            }
        }

        impl<'a> SlurmRunner for DeepVariantVersionJob<'a> {
            fn slurm_args(&self) -> Vec<String> {
                SlurmParams {
                    job_name: Some("deepvariant_version".into()),
                    partition: Some("gpgpuq".into()),
                    cpus_per_task: Some(1),
                    mem: Some("1G".into()),
                    gres: None,
                }
                .to_args()
            }
        }

        let mut job = DeepVariantVersionJob { config };
        let out =
            SlurmRunner::exec(&mut job).context("failed to run DeepVariant --version via Slurm")?;

        // Combine stdout, Slurm epilog (if any), and stderr for parsing
        let mut combined = out.stdout.clone();
        if let Some(epilog) = &out.slurm_epilog {
            combined.push_str(&format!("{epilog}"));
        }
        combined.push_str(&out.stderr);

        parse_deepvariant_version(&combined)
    }
}

/// Parses the DeepVariant version from command output.
///
/// # Arguments
///
/// * `output` - Combined stdout/stderr from DeepVariant --version
///
/// # Returns
///
/// The version string (e.g., "1.6.1")
///
/// # Errors
///
/// Returns an error if the version pattern is not found.
fn parse_deepvariant_version(output: &str) -> anyhow::Result<String> {
    let re = Regex::new(r"(?m)DeepVariant version\s+([^\s]+)").expect("Version regex is valid");

    let caps = re
        .captures(output)
        .context("Could not parse DeepVariant version from output")?;

    Ok(caps
        .get(1)
        .expect("Regex has capture group 1")
        .as_str()
        .to_string())
}

fn merge_deepvariant_parts(base: &DeepVariant, n_parts: usize) -> anyhow::Result<()> {
    let mut part_pass_paths: Vec<PathBuf> = Vec::with_capacity(n_parts);

    for i in 1..=n_parts {
        let mut dv = base.clone();
        dv.part_index = Some(i);
        let part_pass = dv.passed_vcf_path();

        anyhow::ensure!(
            Path::new(&part_pass).exists(),
            "Missing part {i} PASS VCF: {part_pass}"
        );

        part_pass_paths.push(PathBuf::from(part_pass));
    }

    let final_passed_vcf = base
        .config
        .deepvariant_solo_passed_vcf(&base.id, &base.time_point);
    let rand = Uuid::new_v4();
    let final_tmp = format!("{final_passed_vcf}_{rand}.tmp");
    let final_tmp_csi = format!("{final_passed_vcf}_{rand}.tmp.csi");

    if let Some(parent) = Path::new(&final_passed_vcf).parent() {
        fs::create_dir_all(parent)?;
    }

    info!(
        "Concatenating {} part VCFs into {}",
        n_parts, final_passed_vcf
    );

    let mut concat = BcftoolsConcat::from_config(&base.config, part_pass_paths, &final_tmp);
    run!(&base.config, &mut concat)
        .context("Failed to run bcftools concat for DeepVariant parts")?
        .save_to_file(format!("{}/bcftools_concat", base.log_dir))?;

    fs::rename(&final_tmp, &final_passed_vcf)
        .context("Failed to rename merged DeepVariant PASS VCF")?;

    fs::rename(&final_tmp_csi, format!("{final_passed_vcf}.csi"))
        .context("Failed to rename merged DeepVariant PASS VCF CSI")?;

    info!(
        "Successfully merged {} parts into {}",
        n_parts, final_passed_vcf
    );

    Ok(())
}

/// Runs DeepVariant in parallel chunks, then merges results.
///
/// Splits the genome into N equal-sized regions, runs DeepVariant on each region
/// in parallel (local or Slurm based on `config.slurm_runner`), filters PASS variants,
/// and concatenates the final VCF. Karyotype-aware calling ensures X/Y chromosomes
/// are handled correctly based on sample sex.
///
/// # Arguments
///
/// * `id` - Sample identifier
/// * `time_point` - Time point label ("norm" or "diag")
/// * `config` - Global pipeline configuration
/// * `n_parts` - Number of parallel chunks (typically 20-30 for whole-genome)
///
/// # Returns
///
/// `Ok(())` on success, or an error if any step fails.
///
/// # Errors
///
/// Returns an error if:
/// - `n_parts` is 0
/// - `time_point` is invalid (not matching `config.normal_name` or `config.tumoral_name`)
/// - BAM file cannot be opened or is corrupted
/// - BAM header is malformed
/// - Karyotype detection fails
/// - DeepVariant execution fails on any part
/// - PASS filtering fails
/// - VCF merging fails
///
/// # Example
///
/// ```ignore
/// let config = Config::default();
/// run_deepvariant_chunked("sample_001", "norm", &config, 30)?;
/// ```
pub fn run_deepvariant_chunked(
    id: &str,
    time_point: &str,
    config: &Config,
    n_parts: usize,
) -> anyhow::Result<()> {
    anyhow::ensure!(n_parts > 0, "n_parts must be > 0");

    // let lock_dir = format!("{}/locks", config.result_dir);
    // let _lock = SampleLock::acquire(&lock_dir, id, "deepvariant")
    //     .with_context(|| format!("Cannot start DeepVariant chunked for {}", id))?;

    let base = DeepVariant::initialize(id, time_point, config)?;

    if !base.should_run() {
        debug!("DeepVariant PASS VCF already up-to-date for {id} {time_point}, skipping.");
        return Ok(());
    }

    let bam_path = config.solo_bam(id, time_point);
    let reader = bam::Reader::from_path(&bam_path)
        .with_context(|| format!("Failed to open BAM: {bam_path}"))?;
    let header = bam::Header::from_template(reader.header());
    let genome_sizes = get_genome_sizes(&header)?;

    let region_chunks = split_genome_into_n_regions_exact(&genome_sizes, n_parts)
        .into_iter()
        .map(|v| v.join(" "))
        .collect::<Vec<String>>();

    let actual_n_parts = region_chunks.len();

    info!(
        "Running DeepVariant in {} parallel parts for {} {}",
        actual_n_parts, id, time_point
    );

    let mut jobs = Vec::with_capacity(actual_n_parts);
    for (i, regions) in region_chunks.into_iter().enumerate() {
        let mut job = base.clone();
        job.regions = regions;
        job.part_index = Some(i + 1);
        job.log_dir = format!("{}/part{}", base.log_dir, i + 1);
        info!("Planned DeepVariant job:\n{job}");
        jobs.push(job);
    }

    // Run all DeepVariant jobs
    let outputs = run_many!(config, jobs.clone())?;
    for output in outputs.iter() {
        output.save_to_file(format!("{}/deepvariant_", base.log_dir))?;
    }

    // Filter PASS variants for each part
    info!(
        "Filtering PASS variants for all {} parts in parallel",
        actual_n_parts
    );
    let filter_jobs: Vec<_> = jobs
        .iter()
        .map(|job| {
            BcftoolsKeepPass::from_config(&job.config, job.output_vcf_path(), job.passed_vcf_path())
        })
        .collect();
    run_many!(config, filter_jobs)?;

    // Merge PASS VCFs
    merge_deepvariant_parts(&base, actual_n_parts)?;

    info!(
        "DeepVariant completed for {} {}: {} parts merged",
        id, time_point, actual_n_parts
    );

    Ok(())
}

#[cfg(test)]
mod tests {
    use crate::helpers::test_init;

    use super::*;

    #[test]
    fn deepvariant_version() -> anyhow::Result<()> {
        test_init();
        let vl = DeepVariant::version(&Config::default())?;
        info!("DeepVariant local version: {vl}");
        let vs = DeepVariant::version_slurm(&Config::default())?;
        info!("DeepVariant slurm version: {vs}");
        assert_eq!(vl, vs);
        Ok(())
    }

    #[test]
    fn deepvariant_run() -> anyhow::Result<()> {
        test_init();
        let config = Config::default();

        for id in ["DUMCO", "CHAHA"] {
            run_deepvariant_chunked(id, "diag", &config, 30)?;
        }
        Ok(())
    }
}