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modeling-app/rust/kcl-lib/tests/cube/program_memory.snap

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KCL: New simulation test pipeline (#4351) The idea behind this is to test all the various stages of executing KCL separately, i.e. - Start with a program - Tokenize it - Parse those tokens into an AST - Recast the AST - Execute the AST, outputting - a PNG of the rendered model - serialized program memory Each of these steps reads some input and writes some output to disk. The output of one step becomes the input to the next step. These intermediate artifacts are also snapshotted (like expectorate or 2020) to ensure we're aware of any changes to how KCL works. A change could be a bug, or it could be harmless, or deliberate, but keeping it checked into the repo means we can easily track changes. Note: UUIDs sent back by the engine are currently nondeterministic, so they would break all the snapshot tests. So, the snapshots use a regex filter and replace anything that looks like a uuid with [uuid] when writing program memory to a snapshot. In the future I hope our UUIDs will be seedable and easy to make deterministic. At that point, we can stop filtering the UUIDs. We run this pipeline on many different KCL programs. Each keeps its inputs (KCL programs), outputs (PNG, program memory snapshot) and intermediate artifacts (AST, token lists, etc) in that directory. I also added a new `just` command to easily generate these tests. You can run `just new-sim-test gear $(cat gear.kcl)` to set up a new gear test directory and generate all the intermediate artifacts for the first time. This doesn't need any macros, it just appends some new lines of normal Rust source code to `tests.rs`, so it's easy to see exactly what the code is doing. This uses `cargo insta` for convenient snapshot testing of artifacts as JSON, and `twenty-twenty` for snapshotting PNGs. This was heavily inspired by Predrag Gruevski's talk at EuroRust 2024 about deterministic simulation testing, and how it can both reduce bugs and also reduce testing/CI time. Very grateful to him for chatting with me about this over the last couple of weeks.
2024-10-30 12:14:17 -05:00
---
Refactor source ranges into a generic node type (#4350) * WIP Signed-off-by: Nick Cameron <nrc@ncameron.org> * Fix formatting * Fix yarn build:wasm * Fix ts_rs bindings * Fix tsc errors * Fix wasm TS types * Add minimal failing test * Rename field to avoid name collisions * Remove node wrapper around NonCodeMeta Trying to fix TS unit test errors deserializing JSON AST in Rust. * Rename Node to BoxNode * Fix lints * Fix lint by boxing literals * Rename UnboxedNode to Node * Look at this (photo)Graph *in the voice of Nickelback* * Update docs * Update snapshots * initial trait Signed-off-by: Jess Frazelle <github@jessfraz.com> * update docs Signed-off-by: Jess Frazelle <github@jessfraz.com> * updates Signed-off-by: Jess Frazelle <github@jessfraz.com> * gross hack for TagNode Signed-off-by: Jess Frazelle <github@jessfraz.com> * extend gross hack Signed-off-by: Jess Frazelle <github@jessfraz.com> * fix EnvRef bullshit Signed-off-by: Jess Frazelle <github@jessfraz.com> * Fix to fail parsing when a tag declarator matches a stdlib function name * Fix test errors after merging main * A snapshot a day keeps the bugs away! 📷🐛 (OS: ubuntu-latest) * Confirm * Change to use simpler map_err * Add comment --------- Signed-off-by: Nick Cameron <nrc@ncameron.org> Signed-off-by: Jess Frazelle <github@jessfraz.com> Co-authored-by: Nick Cameron <nrc@ncameron.org> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Jess Frazelle <github@jessfraz.com>
2024-10-30 16:52:17 -04:00
source: kcl/src/simulation_tests.rs
description: Variables in memory after executing cube.kcl
KCL: New simulation test pipeline (#4351) The idea behind this is to test all the various stages of executing KCL separately, i.e. - Start with a program - Tokenize it - Parse those tokens into an AST - Recast the AST - Execute the AST, outputting - a PNG of the rendered model - serialized program memory Each of these steps reads some input and writes some output to disk. The output of one step becomes the input to the next step. These intermediate artifacts are also snapshotted (like expectorate or 2020) to ensure we're aware of any changes to how KCL works. A change could be a bug, or it could be harmless, or deliberate, but keeping it checked into the repo means we can easily track changes. Note: UUIDs sent back by the engine are currently nondeterministic, so they would break all the snapshot tests. So, the snapshots use a regex filter and replace anything that looks like a uuid with [uuid] when writing program memory to a snapshot. In the future I hope our UUIDs will be seedable and easy to make deterministic. At that point, we can stop filtering the UUIDs. We run this pipeline on many different KCL programs. Each keeps its inputs (KCL programs), outputs (PNG, program memory snapshot) and intermediate artifacts (AST, token lists, etc) in that directory. I also added a new `just` command to easily generate these tests. You can run `just new-sim-test gear $(cat gear.kcl)` to set up a new gear test directory and generate all the intermediate artifacts for the first time. This doesn't need any macros, it just appends some new lines of normal Rust source code to `tests.rs`, so it's easy to see exactly what the code is doing. This uses `cargo insta` for convenient snapshot testing of artifacts as JSON, and `twenty-twenty` for snapshotting PNGs. This was heavily inspired by Predrag Gruevski's talk at EuroRust 2024 about deterministic simulation testing, and how it can both reduce bugs and also reduce testing/CI time. Very grateful to him for chatting with me about this over the last couple of weeks.
2024-10-30 12:14:17 -05:00
---
{
"cube": {
"type": "Function",
"__meta": [
{
"sourceRange": [
7,
375,
0
]
}
]
},
"myCube": {
"type": "Solid",
"value": {
"type": "Solid",
"id": "[uuid]",
"artifactId": "[uuid]",
"value": [
{
"faceId": "[uuid]",
"id": "[uuid]",
"sourceRange": [
210,
232,
0
],
"tag": null,
"type": "extrudePlane"
},
{
"faceId": "[uuid]",
"id": "[uuid]",
"sourceRange": [
240,
262,
0
],
"tag": null,
"type": "extrudePlane"
},
{
"faceId": "[uuid]",
"id": "[uuid]",
"sourceRange": [
270,
292,
0
],
"tag": null,
"type": "extrudePlane"
},
{
"faceId": "[uuid]",
"id": "[uuid]",
"sourceRange": [
300,
322,
0
],
"tag": null,
"type": "extrudePlane"
}
],
"sketch": {
"type": "Sketch",
"id": "[uuid]",
"paths": [
{
"__geoMeta": {
"id": "[uuid]",
"sourceRange": [
210,
232,
0
]
},
"from": [
-20.0,
-20.0
],
"tag": null,
"to": [
-20.0,
20.0
],
"type": "ToPoint",
"units": {
"type": "Mm"
}
},
{
"__geoMeta": {
"id": "[uuid]",
"sourceRange": [
240,
262,
0
]
},
"from": [
-20.0,
20.0
],
"tag": null,
"to": [
20.0,
20.0
],
"type": "ToPoint",
"units": {
"type": "Mm"
}
},
{
"__geoMeta": {
"id": "[uuid]",
"sourceRange": [
270,
292,
0
]
},
"from": [
20.0,
20.0
],
"tag": null,
"to": [
20.0,
-20.0
],
"type": "ToPoint",
"units": {
"type": "Mm"
}
},
{
"__geoMeta": {
"id": "[uuid]",
"sourceRange": [
300,
322,
0
]
},
"from": [
20.0,
-20.0
],
"tag": null,
"to": [
-20.0,
-20.0
],
"type": "ToPoint",
"units": {
"type": "Mm"
}
},
{
"__geoMeta": {
"id": "[uuid]",
"sourceRange": [
330,
337,
0
]
},
"from": [
-20.0,
-20.0
],
"tag": null,
"to": [
-20.0,
-20.0
],
"type": "ToPoint",
"units": {
"type": "Mm"
}
}
],
"on": {
"type": "plane",
"id": "[uuid]",
"artifactId": "[uuid]",
"value": "XY",
"origin": {
"x": 0.0,
"y": 0.0,
"z": 0.0
},
"xAxis": {
"x": 1.0,
"y": 0.0,
"z": 0.0
},
"yAxis": {
"x": 0.0,
"y": 1.0,
"z": 0.0
},
"zAxis": {
"x": 0.0,
"y": 0.0,
"z": 1.0
},
"units": {
"type": "Mm"
},
"__meta": []
},
"start": {
"from": [
-20.0,
-20.0
],
"to": [
-20.0,
-20.0
],
"units": {
"type": "Mm"
},
"tag": null,
"__geoMeta": {
"id": "[uuid]",
"sourceRange": [
185,
202,
0
]
}
},
"artifactId": "[uuid]",
"originalId": "[uuid]",
"units": {
"type": "Mm"
},
"__meta": [
{
"sourceRange": [
185,
202,
0
]
}
]
},
"height": 40.0,
"startCapId": "[uuid]",
"endCapId": "[uuid]",
"units": {
"type": "Mm"
},
"__meta": [
{
"sourceRange": [
185,
202,
0
]
}
]
KCL: New simulation test pipeline (#4351) The idea behind this is to test all the various stages of executing KCL separately, i.e. - Start with a program - Tokenize it - Parse those tokens into an AST - Recast the AST - Execute the AST, outputting - a PNG of the rendered model - serialized program memory Each of these steps reads some input and writes some output to disk. The output of one step becomes the input to the next step. These intermediate artifacts are also snapshotted (like expectorate or 2020) to ensure we're aware of any changes to how KCL works. A change could be a bug, or it could be harmless, or deliberate, but keeping it checked into the repo means we can easily track changes. Note: UUIDs sent back by the engine are currently nondeterministic, so they would break all the snapshot tests. So, the snapshots use a regex filter and replace anything that looks like a uuid with [uuid] when writing program memory to a snapshot. In the future I hope our UUIDs will be seedable and easy to make deterministic. At that point, we can stop filtering the UUIDs. We run this pipeline on many different KCL programs. Each keeps its inputs (KCL programs), outputs (PNG, program memory snapshot) and intermediate artifacts (AST, token lists, etc) in that directory. I also added a new `just` command to easily generate these tests. You can run `just new-sim-test gear $(cat gear.kcl)` to set up a new gear test directory and generate all the intermediate artifacts for the first time. This doesn't need any macros, it just appends some new lines of normal Rust source code to `tests.rs`, so it's easy to see exactly what the code is doing. This uses `cargo insta` for convenient snapshot testing of artifacts as JSON, and `twenty-twenty` for snapshotting PNGs. This was heavily inspired by Predrag Gruevski's talk at EuroRust 2024 about deterministic simulation testing, and how it can both reduce bugs and also reduce testing/CI time. Very grateful to him for chatting with me about this over the last couple of weeks.
2024-10-30 12:14:17 -05:00
}
}
KCL: New simulation test pipeline (#4351) The idea behind this is to test all the various stages of executing KCL separately, i.e. - Start with a program - Tokenize it - Parse those tokens into an AST - Recast the AST - Execute the AST, outputting - a PNG of the rendered model - serialized program memory Each of these steps reads some input and writes some output to disk. The output of one step becomes the input to the next step. These intermediate artifacts are also snapshotted (like expectorate or 2020) to ensure we're aware of any changes to how KCL works. A change could be a bug, or it could be harmless, or deliberate, but keeping it checked into the repo means we can easily track changes. Note: UUIDs sent back by the engine are currently nondeterministic, so they would break all the snapshot tests. So, the snapshots use a regex filter and replace anything that looks like a uuid with [uuid] when writing program memory to a snapshot. In the future I hope our UUIDs will be seedable and easy to make deterministic. At that point, we can stop filtering the UUIDs. We run this pipeline on many different KCL programs. Each keeps its inputs (KCL programs), outputs (PNG, program memory snapshot) and intermediate artifacts (AST, token lists, etc) in that directory. I also added a new `just` command to easily generate these tests. You can run `just new-sim-test gear $(cat gear.kcl)` to set up a new gear test directory and generate all the intermediate artifacts for the first time. This doesn't need any macros, it just appends some new lines of normal Rust source code to `tests.rs`, so it's easy to see exactly what the code is doing. This uses `cargo insta` for convenient snapshot testing of artifacts as JSON, and `twenty-twenty` for snapshotting PNGs. This was heavily inspired by Predrag Gruevski's talk at EuroRust 2024 about deterministic simulation testing, and how it can both reduce bugs and also reduce testing/CI time. Very grateful to him for chatting with me about this over the last couple of weeks.
2024-10-30 12:14:17 -05:00
}