//! DIMCONTINUE / DIMBASELINE with many points: one snap index per chain (no rescan of the //! drawing per point), the same associations as DIMREASSOCIATE, and a cap on the input size. use cadcraft_engine::Session; use cadcraft_engine::doc::{DimAssoc, EntityKind, Handle}; use serde_json::{Value, json}; fn assoc_of(s: &Session, handles: &[Value]) -> Vec> { let d = s.doc().unwrap(); handles .iter() .map(|h| match &d.entity(Handle::parse_hex(h.as_str().unwrap()).unwrap()).unwrap().kind { EntityKind::Dimension(dm) => dm.assoc.clone(), k => panic!("not a dimension: {k:?}"), }) .collect() } #[test] fn chains_attach_like_dimreassociate_and_long_chains_are_capped() { // Lines end to end, a point on every joint (ties with the line start) and a circle on every // midpoint (a centre outranks a line midpoint). let mut s = Session::new(); for i in 0..40 { let x = f64::from(i); s.execute("line", &json!({"points": [[x, 0], [x + 1.0, 0]]})).unwrap(); s.execute("point", &json!({"at": [x, 0]})).unwrap(); s.execute("circle", &json!({"center": [x + 0.5, 0], "radius": 0.1})).unwrap(); } for (cmd, at) in [("dimcontinue", 2), ("dimbaseline", 5)] { s.execute("dimlinear", &json!({"p1": [0, 0], "p2": [1, 0], "at": [0, at]})).unwrap(); let pts: Vec<[f64; 2]> = (3..80).map(|i| [f64::from(i) * 0.5, 0.0]).collect(); let r = s.execute(cmd, &json!({"points": pts})).unwrap(); let hs = r["handles"].as_array().unwrap().clone(); assert_eq!(hs.len(), pts.len()); let chained = assoc_of(&s, &hs); assert!(chained.iter().all(|a| a.len() == 2), "{cmd}: every point is on an object"); // DIMREASSOCIATE scans the drawing per point; the indexed chain must agree with it. s.execute("dimreassociate", &json!({"handles": hs})).unwrap(); assert_eq!(assoc_of(&s, &hs), chained, "{cmd}"); } // A long chain finishes (this was quadratic in the number of points); more than the cap is // refused with nothing created. let mut s = Session::new(); s.execute("dimlinear", &json!({"p1": [0, 0], "p2": [1, 0], "at": [0, 2]})).unwrap(); let pts: Vec<[f64; 2]> = (2..20_002).map(|i| [f64::from(i), 0.0]).collect(); assert_eq!(s.execute("dimcontinue", &json!({"points": pts})).unwrap()["handles"].as_array().unwrap().len(), 20_000); let n = s.doc().unwrap().model.iter().count(); let too_many: Vec<[f64; 2]> = (0..100_001).map(|i| [f64::from(i), 1.0]).collect(); let e = s.execute("dimbaseline", &json!({"points": too_many})).unwrap_err(); assert!(e.to_string().contains("100000"), "{e}"); assert_eq!(s.doc().unwrap().model.iter().count(), n); }