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//! # Trajectory ingestion and batch Initial Orbit Determination (IOD)
//!
//! High-level utilities to **build and extend** a [`TrajectorySet`] from multiple sources
//! (MPC 80-column, Parquet, ADES, or in-memory batches) and to run a **Gauss-based IOD**
//! over all trajectories.
//!
//! ## Overview
//! -----------------
//! This module exposes the [`TrajectoryFile`] trait implemented for [`TrajectorySet`].
//! It provides:
//! - Constructors that **create** a new set from a given source (`new_from_*`),
//! - Appenders that **extend** an existing set (`add_from_*`),
//! - Convenience methods to ingest **in-memory batches** (single observer) via
//! [`ObservationBatch`].
//!
//! Internally, ingestion from in-memory batches uses a crate-private routine
//! `observation_from_batch` (unit/scale/caching logic). End users should interact only
//! with the public `new_from_vec` / `add_from_vec` methods.
//!
//! ## Data model
//! -----------------
//! - A [`TrajectorySet`] is a `HashMap<ObjectNumber, Observations>` storing a
//! time-ordered list of astrometric observations per object.
//! - [`ObservationBatch`] is a thin container (borrowed/owned) for angle-only astrometry
//! from a **single observer** with uniform uncertainties; it is expanded into concrete
//! [`Observation`](crate::observations::Observation)s and grouped by `trajectory_id`.
//! - Batch IOD returns a
//! [`FullOrbitResult`](crate::trajectories::trajectory_fit::FullOrbitResult), i.e. a map
//! `ObjectNumber → Result<(Option<GaussResult>, f64), OutfitError>`.
//!
//! ## Ingestion sources & signatures
//! -----------------
//! **MPC 80-column**
//! - [`TrajectoryFile::new_from_80col`] → `Self`
//! Reads a file, extracts `(Observations, ObjectNumber)` and **inserts** into a new set.
//! **Panics** on extraction failure (internal `expect`).
//! - [`TrajectoryFile::add_from_80col`] → `()`
//! Reads and **inserts** into an existing set. **Panics** on extraction failure.
//!
//! **Parquet** (`"ra"`, `"dec"`, `"jd"`, `"trajectory_id"`)
//! - [`TrajectoryFile::new_from_parquet`] → `Result<Self, OutfitError>`
//! Creates a new set; errors are propagated.
//! - [`TrajectoryFile::add_from_parquet`] → `Result<(), OutfitError>`
//! Appends to an existing set; errors are propagated.
//! *Units on disk:* `ra/dec` in **degrees**, `jd` in **JD (TT)**. Internally converted to
//! **radians** and **MJD (TT)** (via [`JDTOMJD`](crate::constants::JDTOMJD)). Per-file
//! uncertainties are passed in **arcseconds**.
//!
//! **ADES (MPC XML/JSON)**
//! - [`TrajectoryFile::new_from_ades`] → `Self`
//! - [`TrajectoryFile::add_from_ades`] → `()`
//! Both delegate to `parse_ades` and **do not return a `Result`** (errors are handled
//! inside the parser or may panic depending on its policy).
//!
//! **In-memory batches (single observer)**
//! - [`TrajectoryFile::new_from_vec`] → `Result<Self, OutfitError>`
//! - [`TrajectoryFile::add_from_vec`] → `Result<(), OutfitError>`
//! Expand an [`ObservationBatch`] (RA/DEC/σ in **radians**, epochs in **MJD (TT)**)
//! into per-sample [`Observation`](crate::observations::Observation)s using the shared
//! [`Outfit`] state and **append/group** by `trajectory_id`.
//!
//! ## Units & time scales
//! -----------------
//! - **Angles**: internal [`Observation`](crate::observations::Observation)s store RA/DEC in **radians**.
//! Parquet/80-column/ADES readers perform degree→radian conversions as needed.
//! - **Uncertainties**: expected in **arcseconds** at call-site for Parquet/ADES; for
//! in-memory batches they must already be in **radians** (uniform per batch).
//! - **Times**: internal epochs are **MJD (TT)**. Parquet `"jd"` values are assumed **TT**
//! and converted via [`JDTOMJD`](crate::constants::JDTOMJD). 80-col/ADES readers apply their respective conversions.
//!
//! ## Duplicates & ordering
//! -----------------
//! - **No deduplication** is performed by any `add_*` method. Users must avoid re-ingesting
//! the same file/batch twice if duplicates are undesirable.
//! - Observations are stored **as provided**; ordering by time is not enforced here.
//!
//! ## Error semantics
//! -----------------
//! - Methods returning `Result<_, OutfitError>` propagate I/O/schema/ephemeris errors.
//! - `new_from_80col` / `add_from_80col` use `expect(...)` internally and therefore may **panic**
//! on parse/read failures (fail-fast behavior).
//! - `new_from_ades` / `add_from_ades` currently **do not** return a `Result`; error handling
//! is delegated to `parse_ades` (which may log or panic depending on implementation).
//!
//! ## Batch IOD
//! -----------------
//! Use [`crate::trajectories::trajectory_fit::TrajectoryFit::estimate_all_orbits`] to run the
//! full Gauss IOD over each `(ObjectNumber → Observations)` pair. Outcomes per object:
//! - `Ok(Some(GaussResult))` + RMS — a viable preliminary/corrected orbit,
//! - `Ok(None)` — pipeline executed but no acceptable solution kept,
//! - `Err(OutfitError)` — failure **isolated** to that object.
//!
//! ## Example
//! -----------------
//! ```no_run
//! use std::sync::Arc;
//! use camino::Utf8Path;
//! use rand::SeedableRng;
//! use outfit::outfit::Outfit;
//! use outfit::observers::Observer;
//! use outfit::trajectories::trajectory_file::TrajectoryFile;
//! use outfit::TrajectoryFit;
//! use outfit::initial_orbit_determination::IODParams;
//! use outfit::TrajectorySet;
//!
//! # fn demo() -> Result<(), outfit::outfit_errors::OutfitError> {
//! let mut state = Outfit::new("horizon:DE440", outfit::error_models::ErrorModel::FCCT14)?;
//! let observer: Arc<Observer> = state.get_observer_from_mpc_code(&"I41".into());
//!
//! // 1) From Parquet (propagates errors)
//! let mut trajs: TrajectorySet = TrajectorySet::new_from_parquet(
//! &mut state,
//! Utf8Path::new("observations.parquet"),
//! observer.clone(),
//! 0.5, 0.5,
//! Some(8192),
//! )?;
//!
//! // 2) From MPC 80-column (may panic on parse error)
//! trajs.add_from_80col(&mut state, Utf8Path::new("obs_80col.txt"));
//!
//! // 3) Run batch IOD
//! let mut rng = rand::rngs::StdRng::from_os_rng();
//! let params = IODParams::builder().max_triplets(32).build()?;
//! let results = trajs.estimate_all_orbits(&state, &mut rng, ¶ms);
//! # Ok(()) }
//! ```
//!
//! ## See also
//! ------------
//! * [`TrajectoryFile`] – Public ingestion API surface.
//! * [`ObservationBatch`] – Zero-copy batch container (single observer).
//! * [`crate::trajectories::trajectory_fit::TrajectoryFit::estimate_all_orbits`] – Batch Gauss IOD.
//! * [`Outfit`] – Ephemerides, reference frames, and observer registry.
use ;
use observation_from_batch;
use crateArcSec;
use crateObserver;
use crateOutfit;
use crateOutfitError;
use crateObservationBatch;
use crateTrajectorySet;
use Utf8Path;
use parse_ades;
use extract_80col;
use parquet_to_trajset;
/// A trait for the TrajectorySet type definition.
/// This trait provides methods to create a TrajectorySet from different sources.
/// It allows to create a TrajectorySet from an 80 column file, a parquet file, or an ADES file.
/// It also allows to add observations to an existing TrajectorySet from these sources.
/// The methods are:
/// * `from_80col`: Create a TrajectorySet from an 80 column file.
/// * `add_80col`: Add observations to a TrajectorySet from an 80 column file.
/// * `new_from_vec`: Create a TrajectorySet from a vector of observations.
/// * `add_from_vec`: Add observations to a TrajectorySet from a vector of observations.
/// * `new_from_parquet`: Create a TrajectorySet from a parquet file.
/// * `add_from_parquet`: Add observations to a TrajectorySet from a parquet file.
/// * `new_from_ades`: Create a TrajectorySet from an ADES file.
/// * `add_from_ades`: Add observations to a TrajectorySet from an ADES file.
///
/// Note
/// ----
/// * Warning: No check is done for duplicated observations for every add method.
/// * The user shoud be careful to not add the same observation or same file twice