Files
bambuddy/backend/tests/unit/test_slicer_presets.py
maziggy fdd6ec416f fix(slicer): classify filament profiles by their real printer scope, not just their name (#2628 follow-up)
Slicing for a P2S failed with "filament preset Bambu PLA Basic @BBL X1C 0.2
nozzle (slot 1) is not compatible with printer Bambu Lab P2S 0.4 nozzle" —
naming a profile shown nowhere in the dialog. The picked profile was
"Overture PLA Matte @0.2", whose inheritance chain roots in that X1C profile.

The dialog classifies a profile by its compatible_printers list and falls back
to reading the printer out of its name. That name carries no model, and the
list — present on the imported copy — is not shipped by every source: Bambu
Cloud omits it deliberately (rate limits), and Orca Cloud shipped it but
Bambuddy only mined filament type and colour from the same content.

Orca Cloud entries now carry their own compatible_printers, and the existing
same-name enrichment bridge carries the list onto entries that lack one, in
both directions between the cloud tiers. A bare "@<size>" name tag is read as
a nozzle size as a last resort: it can rule a printer out but never rules one
in, and implausible values are ignored rather than guessed at.
2026-07-22 10:44:05 +02:00

907 lines
40 KiB
Python

"""Tests for the unified slicer-presets endpoint helpers.
The endpoint stitches together four preset sources (local / orca_cloud /
cloud / standard). It does NOT dedup across tiers — every tier surfaces
its full list so the user can pick any source. Bambu Cloud filament
metadata is enriched from same-named entries in the other tiers so it
can still score in the SliceModal's auto-pick. These tests pin the
enrich behaviour, the cloud-status mapping, and the per-user / sidecar
caches at the helper level — full HTTP integration is covered by the
routes test.
"""
from __future__ import annotations
import time
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.app.api.routes import slicer_presets as sp
from backend.app.schemas.slicer_presets import UnifiedPreset
def _slot(items: list[tuple[str, str, str]]) -> dict[str, list[UnifiedPreset]]:
"""Helper: build a single-slot dict from (id, name, source) tuples placed
on the printer slot. Process / filament default to empty so each test
only exercises the slot it cares about."""
return {
"printer": [UnifiedPreset(id=i, name=n, source=s) for i, n, s in items],
"process": [],
"filament": [],
}
class TestEnrichCloudMetadata:
"""No cross-tier dedup — every tier's full list comes back; Bambu Cloud
filament metadata is enriched from same-named entries in other tiers."""
def test_same_name_in_all_tiers_appears_in_every_tier(self):
"""Critical regression guard for #1712: a user who has imported a
local profile AND signed in to Orca AND has Bambu Cloud with the
same name should see it under EACH source, not just the highest-
priority tier. The order is used for auto-pick + group rendering;
it is NOT used to hide profiles."""
orca = _slot([("oid1", "Bambu PLA Basic", "orca_cloud")])
cloud = _slot([("cid1", "Bambu PLA Basic", "cloud")])
local = _slot([("lid1", "Bambu PLA Basic", "local")])
standard = _slot([("Bambu PLA Basic", "Bambu PLA Basic", "standard")])
oc, c, l_, s = sp._enrich_cloud_metadata(orca, cloud, local, standard)
assert [p.source for p in l_["printer"]] == ["local"]
assert [p.source for p in oc["printer"]] == ["orca_cloud"]
assert [p.source for p in c["printer"]] == ["cloud"]
assert [p.source for p in s["printer"]] == ["standard"]
def test_preserves_order_within_tier(self):
"""A tier's input order must be preserved — nothing in the enrich
pass should sort, reverse, or otherwise reorder entries."""
cloud = _slot(
[
("c1", "Z-First", "cloud"),
("c2", "A-Second", "cloud"),
("c3", "M-Third", "cloud"),
]
)
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, _slot([]), _slot([]))
assert [p.name for p in c["printer"]] == ["Z-First", "A-Second", "M-Third"]
def test_bambu_cloud_filament_metadata_backfilled_from_local(self):
"""Bambu Cloud's list response omits filament_type/colour for
rate-limit reasons. A same-named local entry's metadata fills in
so the cloud entry can still score in pickFilamentForSlot."""
local = {
"printer": [],
"process": [],
"filament": [
UnifiedPreset(
id="lp1",
name="Bambu PLA Basic",
source="local",
filament_type="PLA",
filament_colour="#FF0000",
)
],
}
cloud = {
"printer": [],
"process": [],
"filament": [UnifiedPreset(id="cp1", name="Bambu PLA Basic", source="cloud")],
}
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, local, _slot([]))
# Cloud entry now carries the local entry's metadata.
assert c["filament"][0].filament_type == "PLA"
assert c["filament"][0].filament_colour == "#FF0000"
# Local entry is untouched.
assert local["filament"][0].filament_type == "PLA"
def test_bambu_cloud_metadata_falls_back_through_orca_and_standard(self):
"""When local doesn't carry the name, orca_cloud / standard fill in."""
orca = {
"printer": [],
"process": [],
"filament": [
UnifiedPreset(
id="o1",
name="Bambu PLA Basic",
source="orca_cloud",
filament_type="PLA",
filament_colour="#00FF00",
)
],
}
cloud = {
"printer": [],
"process": [],
"filament": [UnifiedPreset(id="cp1", name="Bambu PLA Basic", source="cloud")],
}
_oc, c, _l, _s = sp._enrich_cloud_metadata(orca, cloud, _slot([]), _slot([]))
assert c["filament"][0].filament_type == "PLA"
assert c["filament"][0].filament_colour == "#00FF00"
def test_bambu_cloud_keeps_its_own_metadata_when_present(self):
"""If Bambu Cloud already has filament_type / filament_colour the
enrich pass must not overwrite them with a different same-named
entry's values."""
local = {
"printer": [],
"process": [],
"filament": [
UnifiedPreset(
id="lp1",
name="Bambu PLA Basic",
source="local",
filament_type="PETG",
filament_colour="#000000",
)
],
}
cloud = {
"printer": [],
"process": [],
"filament": [
UnifiedPreset(
id="cp1",
name="Bambu PLA Basic",
source="cloud",
filament_type="PLA",
filament_colour="#FFFFFF",
)
],
}
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, local, _slot([]))
assert c["filament"][0].filament_type == "PLA"
assert c["filament"][0].filament_colour == "#FFFFFF"
class TestEnrichCompatiblePrinters:
"""#2628: the same name bridge carries ``compatible_printers`` onto the
tiers that don't ship one. Bambu Cloud never does — so a profile whose
name carries no printer model reads as "compatibility unknown", which the
SliceModal treats as usable and auto-picks for the wrong printer."""
COMPAT = ["Bambu Lab X1 Carbon 0.2 nozzle", "Bambu Lab P1S 0.2 nozzle"]
def _tier(self, source: str, slot: str, compat: list[str] | None) -> dict[str, list[UnifiedPreset]]:
empty: dict[str, list[UnifiedPreset]] = {"printer": [], "process": [], "filament": []}
empty[slot] = [
UnifiedPreset(id=f"{source}1", name="Overture PLA Matte @0.2", source=source, compatible_printers=compat)
]
return empty
def test_bambu_cloud_borrows_the_list_from_a_same_named_local_import(self):
local = self._tier("local", "filament", self.COMPAT)
cloud = self._tier("cloud", "filament", None)
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, local, _slot([]))
assert c["filament"][0].compatible_printers == self.COMPAT
def test_bambu_cloud_borrows_from_orca_cloud_too(self):
orca = self._tier("orca_cloud", "filament", self.COMPAT)
cloud = self._tier("cloud", "filament", None)
_oc, c, _l, _s = sp._enrich_cloud_metadata(orca, cloud, _slot([]), _slot([]))
assert c["filament"][0].compatible_printers == self.COMPAT
def test_orca_cloud_borrows_when_its_own_content_had_no_list(self):
orca = self._tier("orca_cloud", "filament", None)
local = self._tier("local", "filament", self.COMPAT)
oc, _c, _l, _s = sp._enrich_cloud_metadata(orca, _slot([]), local, _slot([]))
assert oc["filament"][0].compatible_printers == self.COMPAT
def test_process_slot_is_bridged_as_well(self):
local = self._tier("local", "process", self.COMPAT)
cloud = self._tier("cloud", "process", None)
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, local, _slot([]))
assert c["process"][0].compatible_printers == self.COMPAT
def test_never_overwrites_a_list_the_entry_already_has(self):
own = ["Bambu Lab P2S 0.4 nozzle"]
local = self._tier("local", "filament", self.COMPAT)
cloud = self._tier("cloud", "filament", own)
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, local, _slot([]))
assert c["filament"][0].compatible_printers == own
def test_no_donor_leaves_the_entry_unclassified(self):
"""Absent evidence the entry must stay None — the SliceModal then
falls back to the name matcher instead of hiding the profile."""
cloud = self._tier("cloud", "filament", None)
_oc, c, _l, _s = sp._enrich_cloud_metadata(_slot([]), cloud, _slot([]), _slot([]))
assert c["filament"][0].compatible_printers is None
def test_borrowed_list_is_copied_not_shared(self):
"""A later mutation of one tier's list must not reach through to the
other — these objects are cached per user between requests."""
local = self._tier("local", "filament", list(self.COMPAT))
cloud = self._tier("cloud", "filament", None)
_oc, c, l_, _s = sp._enrich_cloud_metadata(_slot([]), cloud, local, _slot([]))
l_["filament"][0].compatible_printers.append("Bambu Lab H2D 0.4 nozzle")
assert c["filament"][0].compatible_printers == self.COMPAT
def _user_with_cloud_auth(user_id: int = 1) -> MagicMock:
"""Construct a mock User that passes the CLOUD_AUTH permission check.
`MagicMock` defaults `.has_permission(...)` to a truthy MagicMock object,
which would coincidentally pass the gate — but explicit is better than
accidental. Setting `.return_value = True` documents the intent."""
user = MagicMock(id=user_id)
user.has_permission = MagicMock(return_value=True)
return user
class TestFetchOrcaCloudPresets:
"""``_fetch_orca_cloud_presets`` mirrors the Bambu Cloud fetcher's status
vocabulary (``ok`` / ``not_authenticated`` / ``expired`` / ``unreachable``)
and the same permission-shortcut + caching behaviour. Tests pin the
contract so a future bug in either fetcher doesn't silently desync them."""
def _orca_creds(self, token: str | None = "tok") -> MagicMock:
creds = MagicMock()
creds.token = token
return creds
@pytest.mark.asyncio
async def test_no_token_returns_not_authenticated(self):
sp._orca_cloud_cache.clear()
with patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds(None))):
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
slots, status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert status == "not_authenticated"
assert slots == {"printer": [], "process": [], "filament": []}
@pytest.mark.asyncio
async def test_user_without_orca_cloud_auth_returns_not_authenticated(self):
"""Defence-in-depth — a user lacking ORCA_CLOUD_AUTH must not see Orca
presets even if their User row carries a stale token. Credentials
lookup must short-circuit ahead of the token read."""
sp._orca_cloud_cache.clear()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=False)
with patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))) as load:
slots, status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert status == "not_authenticated"
assert slots["printer"] == []
load.assert_not_called()
@pytest.mark.asyncio
async def test_auth_error_returns_expired(self):
sp._orca_cloud_cache.clear()
svc_mock = MagicMock()
svc_mock.list_profiles = AsyncMock(side_effect=sp.OrcaCloudAuthError("expired"))
svc_mock.close = AsyncMock()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
with (
patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))),
patch.object(sp, "_build_orca_service", AsyncMock(return_value=svc_mock)),
):
_slots, status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert status == "expired"
svc_mock.close.assert_awaited_once()
@pytest.mark.asyncio
async def test_orca_error_returns_unreachable(self):
sp._orca_cloud_cache.clear()
svc_mock = MagicMock()
svc_mock.list_profiles = AsyncMock(side_effect=sp.OrcaCloudError("net down"))
svc_mock.close = AsyncMock()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
with (
patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))),
patch.object(sp, "_build_orca_service", AsyncMock(return_value=svc_mock)),
):
_slots, status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert status == "unreachable"
@pytest.mark.asyncio
async def test_happy_path_shapes_grouped_by_type(self):
"""Orca content.type values map onto Bambu Cloud's preset type vocab
(``printer`` / ``print`` → ``process`` / ``filament``). Verify the
full mapping by feeding one of each shape."""
sp._orca_cloud_cache.clear()
svc_mock = MagicMock()
svc_mock.list_profiles = AsyncMock(
return_value=[
{"id": "m1", "name": "Orca X1C", "content": {"type": "printer"}},
{"id": "p1", "name": "Orca 0.20mm", "content": {"type": "print"}},
{
"id": "f1",
"name": "Orca PLA",
"content": {
"type": "filament",
"filament_type": ["PLA"],
"default_filament_colour": ["#000000"],
},
},
]
)
svc_mock.close = AsyncMock()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
with (
patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))),
patch.object(sp, "_build_orca_service", AsyncMock(return_value=svc_mock)),
):
slots, status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert status == "ok"
assert [p.name for p in slots["printer"]] == ["Orca X1C"]
assert [p.name for p in slots["process"]] == ["Orca 0.20mm"]
filament = slots["filament"]
assert [p.name for p in filament] == ["Orca PLA"]
# Inline metadata extracted from the content blob (Orca's sync_pull
# returns full content, so unlike Bambu Cloud we don't need a second
# per-preset fetch to enrich filament_type / filament_colour).
assert filament[0].filament_type == "PLA"
assert filament[0].filament_colour == "#000000"
@pytest.mark.asyncio
async def test_extracts_compatible_printers_from_content(self):
"""#2628: Orca's sync_pull already carries the profile's own
compatible-printer list. Surfacing it lets the SliceModal reject a
profile built for another printer instead of falling back to reading
the model out of the NAME — which fails outright for names that carry
no model ("Overture PLA Matte @0.2")."""
sp._orca_cloud_cache.clear()
compat = ["Bambu Lab X1 Carbon 0.2 nozzle", "Bambu Lab P1S 0.2 nozzle"]
svc_mock = MagicMock()
svc_mock.list_profiles = AsyncMock(
return_value=[
{
"id": "f1",
"name": "Overture PLA Matte @0.2",
"content": {
"type": "filament",
"filament_type": ["PLA"],
"compatible_printers": compat,
},
},
{
"id": "p1",
"name": "Orca 0.20mm",
"content": {"type": "print", "compatible_printers": "Bambu Lab P2S 0.4 nozzle"},
},
{"id": "m1", "name": "Orca X1C", "content": {"type": "printer"}},
]
)
svc_mock.close = AsyncMock()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
with (
patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))),
patch.object(sp, "_build_orca_service", AsyncMock(return_value=svc_mock)),
):
slots, status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert status == "ok"
assert slots["filament"][0].compatible_printers == compat
# A single-printer profile may store a bare string — normalised to a list.
assert slots["process"][0].compatible_printers == ["Bambu Lab P2S 0.4 nozzle"]
# Printer presets have nothing to be compatible with.
assert slots["printer"][0].compatible_printers is None
@pytest.mark.asyncio
async def test_missing_or_malformed_compatible_printers_stays_none(self):
"""No data must read as "unknown", never as "compatible with nothing" —
the SliceModal falls back to the name matcher for those."""
sp._orca_cloud_cache.clear()
svc_mock = MagicMock()
svc_mock.list_profiles = AsyncMock(
return_value=[
{"id": "f1", "name": "No list", "content": {"type": "filament"}},
{"id": "f2", "name": "Empty list", "content": {"type": "filament", "compatible_printers": []}},
{"id": "f3", "name": "Blanks", "content": {"type": "filament", "compatible_printers": ["", " "]}},
{"id": "f4", "name": "Wrong type", "content": {"type": "filament", "compatible_printers": {"a": 1}}},
]
)
svc_mock.close = AsyncMock()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
with (
patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))),
patch.object(sp, "_build_orca_service", AsyncMock(return_value=svc_mock)),
):
slots, _status = await sp._fetch_orca_cloud_presets(MagicMock(), user)
assert [p.compatible_printers for p in slots["filament"]] == [None, None, None, None]
@pytest.mark.asyncio
async def test_cache_hit_skips_orca_call(self):
"""A second call within TTL must reuse the cached slots and NOT
hit the Orca service again — same TTL as Bambu Cloud (5 min)."""
sp._orca_cloud_cache.clear()
svc_mock = MagicMock()
svc_mock.list_profiles = AsyncMock(return_value=[])
svc_mock.close = AsyncMock()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=True)
with (
patch.object(sp, "_load_orca_credentials", AsyncMock(return_value=self._orca_creds("tok"))),
patch.object(sp, "_build_orca_service", AsyncMock(return_value=svc_mock)) as build,
):
await sp._fetch_orca_cloud_presets(MagicMock(), user)
await sp._fetch_orca_cloud_presets(MagicMock(), user)
# Build is the cache miss signal — second call reused the cache.
build.assert_awaited_once()
class TestFetchCloudPresets:
"""`_fetch_cloud_presets` translates token state and cloud errors into
the four ``cloud_status`` values the SliceModal banner consumes."""
@pytest.mark.asyncio
async def test_no_token_returns_not_authenticated(self):
sp._cloud_cache.clear()
with patch.object(sp, "get_stored_token", AsyncMock(return_value=(None, None, None))):
slots, status = await sp._fetch_cloud_presets(MagicMock(), _user_with_cloud_auth())
assert status == "not_authenticated"
assert slots == {"printer": [], "process": [], "filament": []}
@pytest.mark.asyncio
async def test_user_without_cloud_auth_returns_not_authenticated(self):
"""Defence-in-depth: a user lacking CLOUD_AUTH must NOT see cloud
presets even if their User row carries a stale cloud_token from a
previous permission state. Token lookup is skipped entirely."""
sp._cloud_cache.clear()
user = MagicMock(id=1)
user.has_permission = MagicMock(return_value=False)
with patch.object(sp, "get_stored_token", AsyncMock(return_value=("leftover-token", None, None))) as get_tok:
slots, status = await sp._fetch_cloud_presets(MagicMock(), user)
assert status == "not_authenticated"
assert slots["printer"] == []
# Token was never read — the perm check short-circuits ahead of it.
get_tok.assert_not_called()
@pytest.mark.asyncio
async def test_auth_error_returns_expired(self):
sp._cloud_cache.clear()
cloud_mock = MagicMock()
cloud_mock.set_token = MagicMock()
cloud_mock.get_slicer_settings = AsyncMock(side_effect=sp.BambuCloudAuthError("expired"))
cloud_mock.close = AsyncMock()
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", "e@x", None))),
patch.object(sp, "BambuCloudService", return_value=cloud_mock),
):
slots, status = await sp._fetch_cloud_presets(MagicMock(), _user_with_cloud_auth())
assert status == "expired"
assert slots["printer"] == []
cloud_mock.close.assert_awaited_once()
@pytest.mark.asyncio
async def test_cloud_error_returns_unreachable(self):
sp._cloud_cache.clear()
cloud_mock = MagicMock()
cloud_mock.set_token = MagicMock()
cloud_mock.get_slicer_settings = AsyncMock(side_effect=sp.BambuCloudError("net down"))
cloud_mock.close = AsyncMock()
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", None, None))),
patch.object(sp, "BambuCloudService", return_value=cloud_mock),
):
_slots, status = await sp._fetch_cloud_presets(MagicMock(), _user_with_cloud_auth())
assert status == "unreachable"
@pytest.mark.asyncio
async def test_happy_path_shapes_private_then_public(self):
"""Cloud presets split into private (user-custom) + public (Bambu's
stock cloud presets). Private should sort before public so a user's
own customisations sit at the top of the dropdown."""
sp._cloud_cache.clear()
cloud_mock = MagicMock()
cloud_mock.set_token = MagicMock()
cloud_mock.get_slicer_settings = AsyncMock(
return_value={
"printer": {
"private": [{"setting_id": "PFUprivate1", "name": "My X1C"}],
"public": [{"setting_id": "PFUpublic1", "name": "Bambu X1C Stock"}],
},
"print": {"private": [], "public": []},
"filament": {"private": [], "public": []},
}
)
cloud_mock.close = AsyncMock()
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", None, None))),
patch.object(sp, "BambuCloudService", return_value=cloud_mock),
):
slots, status = await sp._fetch_cloud_presets(MagicMock(), _user_with_cloud_auth())
assert status == "ok"
names = [p.name for p in slots["printer"]]
assert names == ["My X1C", "Bambu X1C Stock"]
@pytest.mark.asyncio
async def test_cache_hit_skips_cloud_call(self):
"""A second call within TTL must reuse the cached slots and NOT
hit Bambu Cloud again."""
sp._cloud_cache.clear()
cloud_mock = MagicMock()
cloud_mock.set_token = MagicMock()
cloud_mock.get_slicer_settings = AsyncMock(
return_value={
"printer": {"private": [{"setting_id": "id1", "name": "X1C"}], "public": []},
"print": {"private": [], "public": []},
"filament": {"private": [], "public": []},
}
)
cloud_mock.close = AsyncMock()
user = _user_with_cloud_auth(user_id=42)
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", None, None))),
patch.object(sp, "BambuCloudService", return_value=cloud_mock),
):
await sp._fetch_cloud_presets(MagicMock(), user)
await sp._fetch_cloud_presets(MagicMock(), user)
cloud_mock.get_slicer_settings.assert_awaited_once()
@pytest.mark.asyncio
async def test_cache_is_per_user(self):
"""User A's cached cloud presets must not surface for user B."""
sp._cloud_cache.clear()
def make_mock(name: str):
m = MagicMock()
m.set_token = MagicMock()
m.get_slicer_settings = AsyncMock(
return_value={
"printer": {"private": [{"setting_id": f"id-{name}", "name": name}], "public": []},
"print": {"private": [], "public": []},
"filament": {"private": [], "public": []},
}
)
m.close = AsyncMock()
return m
sequence = [make_mock("AliceX1C"), make_mock("BobX1C")]
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", None, None))),
patch.object(sp, "BambuCloudService", side_effect=sequence),
):
alice_slots, _ = await sp._fetch_cloud_presets(MagicMock(), _user_with_cloud_auth(1))
bob_slots, _ = await sp._fetch_cloud_presets(MagicMock(), _user_with_cloud_auth(2))
assert alice_slots["printer"][0].name == "AliceX1C"
assert bob_slots["printer"][0].name == "BobX1C"
@pytest.mark.asyncio
async def test_cache_invalidates_on_token_change(self):
"""A token change (logout + login, admin reset, region switch) must
bypass the cache for that user — pinning a real-world auth bug
where user re-login + cache-stuck-on-old-cloud-account would
silently serve a different account's preset list for ~5 minutes."""
sp._cloud_cache.clear()
def make_mock(name: str):
m = MagicMock()
m.set_token = MagicMock()
m.get_slicer_settings = AsyncMock(
return_value={
"printer": {"private": [{"setting_id": f"id-{name}", "name": name}], "public": []},
"print": {"private": [], "public": []},
"filament": {"private": [], "public": []},
}
)
m.close = AsyncMock()
return m
# Same user_id, different token between calls — the second call must
# NOT serve the first call's cached slots.
services = [make_mock("OldAccountX1C"), make_mock("NewAccountX1C")]
token_sequence = [("tok-old", None, None), ("tok-new", None, None)]
user = _user_with_cloud_auth(user_id=7)
with (
patch.object(sp, "get_stored_token", AsyncMock(side_effect=token_sequence)),
patch.object(sp, "BambuCloudService", side_effect=services),
):
first, _ = await sp._fetch_cloud_presets(MagicMock(), user)
second, _ = await sp._fetch_cloud_presets(MagicMock(), user)
assert first["printer"][0].name == "OldAccountX1C"
assert second["printer"][0].name == "NewAccountX1C"
@pytest.mark.asyncio
async def test_refresh_bypasses_cloud_cache(self):
"""``refresh=True`` must skip an otherwise-warm cache entry and hit
Bambu Cloud again — wiring for the SliceModal's Refresh button so a
user who deletes a cloud preset in Bambu Studio / Handy doesn't have
to wait for the 5-minute TTL to expire (#1581)."""
sp._cloud_cache.clear()
cloud_mock = MagicMock()
cloud_mock.set_token = MagicMock()
cloud_mock.get_slicer_settings = AsyncMock(
return_value={
"printer": {"private": [{"setting_id": "id1", "name": "X1C"}], "public": []},
"print": {"private": [], "public": []},
"filament": {"private": [], "public": []},
}
)
cloud_mock.close = AsyncMock()
user = _user_with_cloud_auth(user_id=99)
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", None, None))),
patch.object(sp, "BambuCloudService", return_value=cloud_mock),
):
await sp._fetch_cloud_presets(MagicMock(), user)
# Without refresh, the second call hits cache (covered by
# test_cache_hit_skips_cloud_call). With refresh=True it MUST
# re-fetch.
await sp._fetch_cloud_presets(MagicMock(), user, refresh=True)
assert cloud_mock.get_slicer_settings.await_count == 2
@pytest.mark.asyncio
async def test_refresh_writes_back_to_cache(self):
"""A refresh call must still update the cache so a subsequent normal
call doesn't re-hit the cloud immediately afterwards."""
sp._cloud_cache.clear()
cloud_mock = MagicMock()
cloud_mock.set_token = MagicMock()
cloud_mock.get_slicer_settings = AsyncMock(
return_value={
"printer": {"private": [{"setting_id": "id1", "name": "X1C"}], "public": []},
"print": {"private": [], "public": []},
"filament": {"private": [], "public": []},
}
)
cloud_mock.close = AsyncMock()
user = _user_with_cloud_auth(user_id=101)
with (
patch.object(sp, "get_stored_token", AsyncMock(return_value=("tok", None, None))),
patch.object(sp, "BambuCloudService", return_value=cloud_mock),
):
await sp._fetch_cloud_presets(MagicMock(), user, refresh=True)
await sp._fetch_cloud_presets(MagicMock(), user)
# Two calls — first refresh, second a normal cache hit.
assert cloud_mock.get_slicer_settings.await_count == 1
class TestFetchBundledPresets:
"""Standard tier reaches out to the slicer-api sidecar; tolerate the
sidecar being absent / unreachable so the modal still works."""
@pytest.mark.asyncio
async def test_no_sidecar_url_returns_empty(self):
sp._bundled_cache = None
with patch.object(sp, "_resolve_slicer_api_url", AsyncMock(return_value=None)):
slots = await sp._fetch_bundled_presets(MagicMock())
assert slots == {"printer": [], "process": [], "filament": []}
# No URL means no useful cache result either — second call should
# try again (so users who configure a URL mid-session see results).
assert sp._bundled_cache is None
@pytest.mark.asyncio
async def test_sidecar_error_returns_empty(self):
sp._bundled_cache = None
svc_mock = MagicMock()
svc_mock.list_bundled_profiles = AsyncMock(side_effect=sp.SlicerApiError("boom"))
svc_mock.__aenter__ = AsyncMock(return_value=svc_mock)
svc_mock.__aexit__ = AsyncMock(return_value=False)
with (
patch.object(sp, "_resolve_slicer_api_url", AsyncMock(return_value="http://nope")),
patch.object(sp, "SlicerApiService", return_value=svc_mock),
):
slots = await sp._fetch_bundled_presets(MagicMock())
assert slots == {"printer": [], "process": [], "filament": []}
@pytest.mark.asyncio
async def test_happy_path_shapes_response(self):
sp._bundled_cache = None
svc_mock = MagicMock()
svc_mock.list_bundled_profiles = AsyncMock(
return_value={
"printer": [{"name": "Bambu X1C 0.4", "base_id": None}],
"process": [{"name": "0.20mm Standard", "base_id": "fdm_process_common"}],
"filament": [{"name": "Bambu PLA Basic", "base_id": "fdm_filament_pla"}],
}
)
svc_mock.__aenter__ = AsyncMock(return_value=svc_mock)
svc_mock.__aexit__ = AsyncMock(return_value=False)
with (
patch.object(sp, "_resolve_slicer_api_url", AsyncMock(return_value="http://ok")),
patch.object(sp, "SlicerApiService", return_value=svc_mock),
):
slots = await sp._fetch_bundled_presets(MagicMock())
assert slots["printer"][0].name == "Bambu X1C 0.4"
assert slots["printer"][0].source == "standard"
# Bundled presets are addressed by name (the slicer's inheritance
# walker resolves them by name), so id == name.
assert slots["printer"][0].id == "Bambu X1C 0.4"
@pytest.mark.asyncio
async def test_cache_hit_skips_sidecar(self):
"""A second call within TTL must serve from the cached entry and not
re-hit the sidecar HTTP."""
sp._bundled_cache = (
time.monotonic(),
{
"printer": [UnifiedPreset(id="Cached", name="Cached", source="standard")],
"process": [],
"filament": [],
},
)
# If `SlicerApiService` is constructed at all we've missed the cache.
with patch.object(sp, "SlicerApiService", side_effect=AssertionError("cache miss!")):
slots = await sp._fetch_bundled_presets(MagicMock())
assert slots["printer"][0].name == "Cached"
@pytest.mark.asyncio
async def test_refresh_bypasses_bundled_cache(self):
"""``refresh=True`` must re-hit the sidecar even when the in-process
cache is warm — paired with the cloud-cache refresh, this is what
powers the SliceModal's Refresh button (#1581)."""
sp._bundled_cache = (
time.monotonic(),
{
"printer": [UnifiedPreset(id="Stale", name="Stale", source="standard")],
"process": [],
"filament": [],
},
)
svc_mock = MagicMock()
svc_mock.list_bundled_profiles = AsyncMock(
return_value={
"printer": [{"name": "Fresh", "base_id": None}],
"process": [],
"filament": [],
}
)
svc_mock.__aenter__ = AsyncMock(return_value=svc_mock)
svc_mock.__aexit__ = AsyncMock(return_value=False)
with (
patch.object(sp, "_resolve_slicer_api_url", AsyncMock(return_value="http://ok")),
patch.object(sp, "SlicerApiService", return_value=svc_mock),
):
slots = await sp._fetch_bundled_presets(MagicMock(), refresh=True)
svc_mock.list_bundled_profiles.assert_awaited_once()
assert [p.name for p in slots["printer"]] == ["Fresh"]
# The fresh result must also be written back to the cache so a
# subsequent normal (non-refresh) call doesn't re-hit the sidecar.
assert sp._bundled_cache is not None
assert [p.name for p in sp._bundled_cache[1]["printer"]] == ["Fresh"]
class TestResolveSlicerApiUrl:
"""`_resolve_slicer_api_url` must respect the user's `preferred_slicer`
setting just like the slice route does. The bundled-listing fetch
used to be hardcoded to OrcaSlicer's URL, which left the Standard
tier permanently empty for BambuStudio installs."""
@pytest.mark.asyncio
async def test_bambu_studio_preference_uses_bambu_url(self):
"""When the user prefers Bambu Studio, the listing fetch must hit
the bambu-studio-api sidecar (port 3001 by default), not orca's
port 3003."""
async def fake_get_setting(_db, key):
return {
"preferred_slicer": "bambu_studio",
"bambu_studio_api_url": "http://bambu-studio-api:3000",
}.get(key)
with patch(
"backend.app.api.routes.settings.get_setting",
new=fake_get_setting,
):
url = await sp._resolve_slicer_api_url(MagicMock())
assert url == "http://bambu-studio-api:3000"
@pytest.mark.asyncio
async def test_orcaslicer_preference_uses_orca_url(self):
async def fake_get_setting(_db, key):
return {
"preferred_slicer": "orcaslicer",
"orcaslicer_api_url": "http://orca-slicer-api:3000",
}.get(key)
with patch(
"backend.app.api.routes.settings.get_setting",
new=fake_get_setting,
):
url = await sp._resolve_slicer_api_url(MagicMock())
assert url == "http://orca-slicer-api:3000"
@pytest.mark.asyncio
async def test_default_preference_is_bambu_studio(self):
"""Empty preferred_slicer → bambu_studio (matches the slice route's
default at library.py:_run_slicer_with_fallback)."""
async def fake_get_setting(_db, key):
return {
# preferred_slicer not set
"bambu_studio_api_url": "http://bambu-default:3000",
}.get(key)
with patch(
"backend.app.api.routes.settings.get_setting",
new=fake_get_setting,
):
url = await sp._resolve_slicer_api_url(MagicMock())
assert url == "http://bambu-default:3000"
@pytest.mark.asyncio
async def test_unknown_preference_returns_none(self):
"""An unrecognised preferred_slicer value (e.g. set out-of-band by
a stale migration) returns None so the modal degrades to "no
Standard tier" rather than crashing — the slice route raises 400
in this case but the listing is informational, so be lenient."""
async def fake_get_setting(_db, key):
return {"preferred_slicer": "prusaslicer"}.get(key)
with patch(
"backend.app.api.routes.settings.get_setting",
new=fake_get_setting,
):
url = await sp._resolve_slicer_api_url(MagicMock())
assert url is None
class TestParseCompatiblePrinters:
"""``compatible_printers`` exposed for local process / filament presets so
the SliceModal can filter the dropdowns by the selected printer (#1325)."""
def test_parses_json_array(self):
raw = '["Bambu Lab X1 Carbon 0.4 nozzle", "Bambu Lab X1 0.4 nozzle"]'
assert sp._parse_compatible_printers(raw) == [
"Bambu Lab X1 Carbon 0.4 nozzle",
"Bambu Lab X1 0.4 nozzle",
]
def test_none_and_empty_return_none(self):
assert sp._parse_compatible_printers(None) is None
assert sp._parse_compatible_printers("") is None
assert sp._parse_compatible_printers("[]") is None
def test_malformed_json_returns_none(self):
assert sp._parse_compatible_printers("not json") is None
# A JSON value that isn't an array is treated as absent, not an error.
assert sp._parse_compatible_printers('"a string"') is None
def test_drops_non_string_and_blank_entries(self):
assert sp._parse_compatible_printers('["X1C", 5, "", " ", "A1"]') == [
"X1C",
"A1",
]
class TestListPrinterModels:
"""``GET /slicer/printer-models`` exposes ``PRINTER_MODEL_MAP`` so the
frontend doesn't duplicate the Bambu model registry (#1325 follow-up)."""
def test_returns_canonical_printer_model_map(self):
from backend.app.utils.printer_models import PRINTER_MODEL_MAP
result = sp.list_printer_models()
# Same shape - mapping from "Bambu Lab <model>" to short code.
assert result == PRINTER_MODEL_MAP
# Spot-check a few entries: the SliceModal name-fallback (#1325)
# specifically depends on these resolving.
assert result["Bambu Lab X1 Carbon"] == "X1C"
assert result["Bambu Lab P2S"] == "P2S"
assert result["Bambu Lab A1 mini"] == "A1 Mini"
assert result["Bambu Lab H2D Pro"] == "H2D Pro"
def test_returns_a_copy_not_the_module_dict(self):
# A response handler must never hand out the live module-level dict —
# accidental mutation by middleware / serialisers would silently
# corrupt the registry for every subsequent request.
from backend.app.utils.printer_models import PRINTER_MODEL_MAP
result = sp.list_printer_models()
assert result is not PRINTER_MODEL_MAP