Skip to main content

BREP-exact 3D-printability analysis and print-advice for build123d / FDM

Project description

augura

Will it print? Ask before you print.

PyPI Python License: Apache 2.0 CI coverage mypy: strict ruff

augura analyses a 3D part and tells you how it will print — before you slice it. It reads the exact boundary representation (OpenCASCADE, via build123d) rather than a tessellated mesh, so overhang angles, wall thicknesses, and the contact footprint are computed analytically — not approximated. Point it at a STEP file and get a deterministic, explainable printability report.

augura — Spanish/Italian, "it foretells".

Capabilities

Check What it flags
overhangs downward faces shallower than the support angle (bed contact excluded)
bridges flat, wall-bounded ceilings narrow enough to bridge without support (info, not a warning)
orientation search ranks candidate poses by unsupported overhang area
manifold / watertight a part that isn't a closed solid
tip-over centre of mass projecting outside the bed-contact footprint
bed-fit a part too big for a declared build volume
brim / raft small-footprint / high-aspect parts likely to lift
minimum feature the smallest vertical step → your maximum layer height
wall thickness walls thinner than min_perimeters × nozzle

Inputs: STEP / build123d solids (exact) · STL meshes (degraded, approximate).

Install

pip install augura      # or: uv pip install augura

STL support is built in — no extra needed.

CLI

# Full printability report (human-readable)
augura analyze bracket.step

# Markdown (drop into a PR or wiki) or JSON (machine-readable)
augura analyze bracket.step --format md
augura analyze bracket.step --format json

# Analyse at the best print orientation instead of as-imported (works with
# any --format; the rotation used is reported in the output)
augura analyze bracket.step --best-orientation

# ... or at a pose you chose yourself, e.g. from `augura orientations`
augura analyze bracket.step --orient 90 0 0

# estampo.toml fragment (feed into an estampo [[parts]] entry);
# with --best-orientation it emits orient = [X, Y, Z] for the top-ranked pose
augura analyze bracket.step --format estampo --best-orientation

# Tune to your printer / job
augura analyze bracket.step --nozzle 0.6 --min-perimeters 3
augura analyze bracket.step --build-volume 256 256 256 --support-angle 50

# Gate a build: exit non-zero if any ERROR-severity issue (great for CI / pre-slice)
augura analyze bracket.step --exit-code

# Rank print orientations by how much support each needs (STEP only);
# --build-volume ranks poses that fit first and marks those that don't
augura orientations bracket.step --format json --build-volume 256 256 256

augura analyze accepts .step / .stp (exact BREP path) or .stl (mesh path).

Example — text:

augura — bracket.step
  [WARNING] overhang: Downward face at 0.0 deg from horizontal needs support
  [WARNING] brim: Recommend a brim: small bed-contact footprint (28 mm2)
  2 finding(s): 0 error, 2 warning

Example — JSON (--format json):

{
  "source": "bracket.step",
  "findings": [
    {"kind": "overhang", "severity": "warning",
     "message": "Downward face at 0.0 deg from horizontal needs support",
     "area": 250.0, "location": [25.0, 0.0, 50.0]}
  ]
}
Flag Meaning
--format text|md|json|estampo output format (default text); estampo (analyze only) emits an estampo.toml fragment
--best-orientation rotate to the top-ranked print orientation before analysing (poses that fit --build-volume rank first); the rotation is reported in the output (STEP input only)
--orient X Y Z analyse at this explicit Euler rotation (degrees) instead — e.g. a pose chosen from augura orientations (STEP input only)
--support-angle overhang threshold, degrees from horizontal (default 45)
--max-bridge flat wall-bounded ceilings with a span up to this (mm) are bridgeable info, not overhang warnings (default 5)
--nozzle / --min-perimeters wall-thickness limit = min_perimeters × nozzle
--build-volume X Y Z enable the bed-fit check against this volume (mm)
--exit-code exit 1 if any ERROR finding (manifold / bed-fit / tip-over)

Python API

For build123d users, augura is a library too — one façade, analyze(), returning a Report:

import augura
from build123d import import_step

report = augura.analyze(import_step("bracket.step"))

for f in report.findings:
    print(f.severity, f.kind, f.message)

report.overhangs        # tuple[Finding, ...] — just the overhang findings
report.bridges          # flat ceilings short enough to bridge (no support)
report.bed_fit          # likewise per check: .manifold_issues, .tip_over,
                        # .brim, .min_feature, .thin_walls
report.to_dict()        # JSON-serialisable view

Pass any build123d Shape you already have in memory — no file needed:

from build123d import Box
report = augura.analyze(Box(40, 40, 5), build_volume=(256, 256, 256))

Individual checks and the orientation search are public too:

augura.find_overhangs(shape, support_angle=45.0)
augura.find_thin_walls(shape, nozzle=0.4, min_perimeters=2)
augura.orientation_scores(shape)        # ranked list[OrientationScore], best first
augura.apply_orientation(shape, (180, 0, 0))  # pose a shape as a score was ranked
augura.is_watertight(shape)             # bool

Top-level surface: analyze, analyze_mesh, apply_orientation, Report, Finding, Severity, OrientationScore, find_overhangs, find_bed_fit, find_manifold_issues, find_tip_over, find_brim_risk, find_thin_features, find_thin_walls, min_vertical_feature, min_wall_thickness, is_watertight, orientation_scores, DEFAULT_SUPPORT_ANGLE.

Where it fits

build123d-mcp  →  augura          →  estampo            →  bambox        →  printer
(design)          (will it print?)   (reproducible slice)  (Bambu package)

augura is loosely coupled — it depends on none of its siblings and is usable on its own. Other tools wrap it; it wraps nothing.

Status

Pre-alpha. The public API is still evolving; 0.1.x may introduce breaking changes. See SPEC.md for the mission, detailed aims, and non-aims, and CHANGELOG.md for releases.

License

Apache-2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

augura-0.1.5.tar.gz (332.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

augura-0.1.5-py3-none-any.whl (38.6 kB view details)

Uploaded Python 3

File details

Details for the file augura-0.1.5.tar.gz.

File metadata

  • Download URL: augura-0.1.5.tar.gz
  • Upload date:
  • Size: 332.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for augura-0.1.5.tar.gz
Algorithm Hash digest
SHA256 79f01c29c3c7a39d245d2f6ec0989fd8a5dbc595f74d2aa73bc0c7946df06c9f
MD5 39dc991c6b02498846f26ab5da7b71fa
BLAKE2b-256 591f3e01bf27b5bb53882dd218bb8324fc37c08e35070d1880a0b29cd1b1f39f

See more details on using hashes here.

Provenance

The following attestation bundles were made for augura-0.1.5.tar.gz:

Publisher: publish.yml on pzfreo/augura

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file augura-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: augura-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 38.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for augura-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 0ae88a7775c424a28d1973487291c9845c96e165cb4a9e4869443c404281f5c2
MD5 3fbdac441e3cbbe026c8d631649203f0
BLAKE2b-256 31a12eef445bbf8e421e8cd9f64cc341a1a5b91f17dd35d56469b5aaab5da5e4

See more details on using hashes here.

Provenance

The following attestation bundles were made for augura-0.1.5-py3-none-any.whl:

Publisher: publish.yml on pzfreo/augura

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page