Spaces:
Runtime error
Runtime error
File size: 6,211 Bytes
4a51346 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 |
import pytest
import logging
import hypothesis.strategies as st
import chromadb.test.property.strategies as strategies
from chromadb.api import API
import chromadb.api.types as types
from hypothesis.stateful import (
Bundle,
RuleBasedStateMachine,
rule,
initialize,
multiple,
consumes,
run_state_machine_as_test,
MultipleResults,
)
from typing import Dict, Optional
class CollectionStateMachine(RuleBasedStateMachine):
collections: Bundle[strategies.Collection]
model: Dict[str, Optional[types.CollectionMetadata]]
collections = Bundle("collections")
def __init__(self, api: API):
super().__init__()
self.model = {}
self.api = api
@initialize()
def initialize(self) -> None:
self.api.reset()
self.model = {}
@rule(target=collections, coll=strategies.collections())
def create_coll(
self, coll: strategies.Collection
) -> MultipleResults[strategies.Collection]:
if coll.name in self.model:
with pytest.raises(Exception):
c = self.api.create_collection(
name=coll.name,
metadata=coll.metadata,
embedding_function=coll.embedding_function,
)
return multiple()
c = self.api.create_collection(
name=coll.name,
metadata=coll.metadata,
embedding_function=coll.embedding_function,
)
self.model[coll.name] = coll.metadata
assert c.name == coll.name
assert c.metadata == coll.metadata
return multiple(coll)
@rule(coll=collections)
def get_coll(self, coll: strategies.Collection) -> None:
if coll.name in self.model:
c = self.api.get_collection(name=coll.name)
assert c.name == coll.name
assert c.metadata == coll.metadata
else:
with pytest.raises(Exception):
self.api.get_collection(name=coll.name)
@rule(coll=consumes(collections))
def delete_coll(self, coll: strategies.Collection) -> None:
if coll.name in self.model:
self.api.delete_collection(name=coll.name)
del self.model[coll.name]
else:
with pytest.raises(Exception):
self.api.delete_collection(name=coll.name)
with pytest.raises(Exception):
self.api.get_collection(name=coll.name)
@rule()
def list_collections(self) -> None:
colls = self.api.list_collections()
assert len(colls) == len(self.model)
for c in colls:
assert c.name in self.model
@rule(
target=collections,
new_metadata=st.one_of(st.none(), strategies.collection_metadata),
coll=st.one_of(consumes(collections), strategies.collections()),
)
def get_or_create_coll(
self,
coll: strategies.Collection,
new_metadata: Optional[types.Metadata],
) -> MultipleResults[strategies.Collection]:
# Cases for get_or_create
# Case 0
# new_metadata is none, coll is an existing collection
# get_or_create should return the existing collection with existing metadata
# Essentially - an update with none is a no-op
# Case 1
# new_metadata is none, coll is a new collection
# get_or_create should create a new collection with the metadata of None
# Case 2
# new_metadata is not none, coll is an existing collection
# get_or_create should return the existing collection with updated metadata
# Case 3
# new_metadata is not none, coll is a new collection
# get_or_create should create a new collection with the new metadata, ignoring
# the metdata of in the input coll.
# The fact that we ignore the metadata of the generated collections is a
# bit weird, but it is the easiest way to excercise all cases
# Update model
if coll.name not in self.model:
# Handles case 1 and 3
coll.metadata = new_metadata
else:
# Handles case 0 and 2
coll.metadata = (
self.model[coll.name] if new_metadata is None else new_metadata
)
self.model[coll.name] = coll.metadata
# Update API
c = self.api.get_or_create_collection(
name=coll.name,
metadata=new_metadata,
embedding_function=coll.embedding_function,
)
# Check that model and API are in sync
assert c.name == coll.name
assert c.metadata == coll.metadata
return multiple(coll)
@rule(
target=collections,
coll=consumes(collections),
new_metadata=strategies.collection_metadata,
new_name=st.one_of(st.none(), strategies.collection_name()),
)
def modify_coll(
self,
coll: strategies.Collection,
new_metadata: types.Metadata,
new_name: Optional[str],
) -> MultipleResults[strategies.Collection]:
if coll.name not in self.model:
with pytest.raises(Exception):
c = self.api.get_collection(name=coll.name)
return multiple()
c = self.api.get_collection(name=coll.name)
if new_metadata is not None:
coll.metadata = new_metadata
self.model[coll.name] = coll.metadata
if new_name is not None:
if new_name in self.model and new_name != coll.name:
with pytest.raises(Exception):
c.modify(metadata=new_metadata, name=new_name)
return multiple()
del self.model[coll.name]
self.model[new_name] = coll.metadata
coll.name = new_name
c.modify(metadata=new_metadata, name=new_name)
c = self.api.get_collection(name=coll.name)
assert c.name == coll.name
assert c.metadata == coll.metadata
return multiple(coll)
def test_collections(caplog: pytest.LogCaptureFixture, api: API) -> None:
caplog.set_level(logging.ERROR)
run_state_machine_as_test(lambda: CollectionStateMachine(api)) # type: ignore
|