From 4e6e465937c8e313aca8a0bfa7b0adcef0234334 Mon Sep 17 00:00:00 2001 From: Anush008 Date: Tue, 27 Aug 2024 11:35:20 +0530 Subject: [PATCH 01/41] refactor: Qdrant Query API --- poetry.lock | 14 +++++++------- pyproject.toml | 2 +- semantic_router/index/qdrant.py | 16 ++++++++-------- 3 files changed, 16 insertions(+), 16 deletions(-) diff --git a/poetry.lock b/poetry.lock index a6d4c7d7..cc357f46 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -4049,13 +4049,13 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""} [[package]] name = "qdrant-client" -version = "1.10.1" +version = "1.11.1" description = "Client library for the Qdrant vector search engine" optional = true python-versions = ">=3.8" files = [ - {file = "qdrant_client-1.10.1-py3-none-any.whl", hash = "sha256:b9fb8fe50dd168d92b2998be7c6135d5a229b3a3258ad158cc69c8adf9ff1810"}, - {file = "qdrant_client-1.10.1.tar.gz", hash = "sha256:2284c8c5bb1defb0d9dbacb07d16f344972f395f4f2ed062318476a7951fd84c"}, + {file = "qdrant_client-1.11.1-py3-none-any.whl", hash = "sha256:1375fad77c825c957181ff53775fb900c4383e817f864ea30b2605314da92f07"}, + {file = "qdrant_client-1.11.1.tar.gz", hash = "sha256:bfc23239b027073352ad92152209ec50281519686b7da3041612faece0fcdfbd"}, ] [package.dependencies] @@ -4071,8 +4071,8 @@ pydantic = ">=1.10.8" urllib3 = ">=1.26.14,<3" [package.extras] -fastembed = ["fastembed (==0.2.7)"] -fastembed-gpu = ["fastembed-gpu (==0.2.7)"] +fastembed = ["fastembed (==0.3.6)"] +fastembed-gpu = ["fastembed-gpu (==0.3.6)"] [[package]] name = "regex" @@ -5382,4 +5382,4 @@ vision = ["pillow", "torch", "torchvision", "transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "32e1158d0742323cf5e3a7262ceec1229829d80df399caa62b5b693bc430932a" +content-hash = "77c44f81136c623e118499ec01664cf2d3b6ff39da8649ced54e541d85600981" diff --git a/pyproject.toml b/pyproject.toml index 7b294000..109966cc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,7 +37,7 @@ torchvision = { version = ">=0.17.0,<0.18.0", optional = true} pillow = { version = ">=10.2.0,<11.0.0", optional = true} tiktoken = ">=0.6.0,<1.0.0" matplotlib = { version = "^3.8.3", optional = true} -qdrant-client = {version = "^1.8.0", optional = true} +qdrant-client = {version = "^1.11.1", optional = true} google-cloud-aiplatform = {version = "^1.45.0", optional = true} requests-mock = "^1.12.1" boto3 = { version = "^1.34.98", optional = true } diff --git a/semantic_router/index/qdrant.py b/semantic_router/index/qdrant.py index 3077da33..82653ec6 100644 --- a/semantic_router/index/qdrant.py +++ b/semantic_router/index/qdrant.py @@ -271,15 +271,15 @@ def query( ] ) - results = self.client.search( + results = self.client.query_points( self.index_name, - query_vector=vector, + query=vector, limit=top_k, with_payload=True, query_filter=filter, ) - scores = [result.score for result in results] - route_names = [result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results] + scores = [result.score for result in results.points] + route_names = [result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results.points] return np.array(scores), route_names async def aquery( @@ -306,15 +306,15 @@ async def aquery( ] ) - results = await self.aclient.search( + results = await self.aclient.query_points( self.index_name, - query_vector=vector, + query=vector, limit=top_k, with_payload=True, query_filter=filter, ) - scores = [result.score for result in results] - route_names = [result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results] + scores = [result.score for result in results.points] + route_names = [result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results.points] return np.array(scores), route_names def aget_routes(self): From e541661097a54321d4850065eb96dc056f2f1367 Mon Sep 17 00:00:00 2001 From: Anush008 Date: Thu, 29 Aug 2024 15:49:24 +0530 Subject: [PATCH 02/41] chore: formatting --- semantic_router/index/qdrant.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/semantic_router/index/qdrant.py b/semantic_router/index/qdrant.py index 82653ec6..3132525b 100644 --- a/semantic_router/index/qdrant.py +++ b/semantic_router/index/qdrant.py @@ -5,7 +5,6 @@ from semantic_router.index.base import BaseIndex from semantic_router.schema import Metric - from semantic_router.utils.logger import logger DEFAULT_COLLECTION_NAME = "semantic-router-index" @@ -97,7 +96,7 @@ def __init__(self, **kwargs): def _initialize_clients(self): try: - from qdrant_client import QdrantClient, AsyncQdrantClient + from qdrant_client import AsyncQdrantClient, QdrantClient sync_client = QdrantClient( location=self.location, @@ -257,7 +256,7 @@ def query( top_k: int = 5, route_filter: Optional[List[str]] = None, ) -> Tuple[np.ndarray, List[str]]: - from qdrant_client import models, QdrantClient + from qdrant_client import QdrantClient, models self.client: QdrantClient filter = None @@ -279,7 +278,9 @@ def query( query_filter=filter, ) scores = [result.score for result in results.points] - route_names = [result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results.points] + route_names = [ + result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results.points + ] return np.array(scores), route_names async def aquery( @@ -288,7 +289,7 @@ async def aquery( top_k: int = 5, route_filter: Optional[List[str]] = None, ) -> Tuple[np.ndarray, List[str]]: - from qdrant_client import models, AsyncQdrantClient + from qdrant_client import AsyncQdrantClient, models self.aclient: Optional[AsyncQdrantClient] if self.aclient is None: @@ -314,7 +315,9 @@ async def aquery( query_filter=filter, ) scores = [result.score for result in results.points] - route_names = [result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results.points] + route_names = [ + result.payload[SR_ROUTE_PAYLOAD_KEY] for result in results.points + ] return np.array(scores), route_names def aget_routes(self): From 8cad118e5e2072342fd2942dc6c4dc5aa3134303 Mon Sep 17 00:00:00 2001 From: Anush008 Date: Mon, 2 Sep 2024 22:51:21 +0530 Subject: [PATCH 03/41] chore: poetry.lock --- poetry.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 5d322247..20e471a7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -5451,4 +5451,4 @@ vision = ["pillow", "torch", "torchvision", "transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "77c44f81136c623e118499ec01664cf2d3b6ff39da8649ced54e541d85600981" +content-hash = "a6b14b6676ce40514390ab5ceefc1412d4c5df66cb73011bc93a7fdfaa1996f3" From 8fd88ad0aaca2f4bf079b4eadc1f98cfcb2469b6 Mon Sep 17 00:00:00 2001 From: Vits Date: Thu, 5 Sep 2024 12:11:33 +0200 Subject: [PATCH 04/41] Adjusted all tests + minor fixes --- semantic_router/index/pinecone.py | 26 ++--- semantic_router/layer.py | 14 +-- tests/unit/test_layer.py | 185 ++++++++++++++++++++++++------ 3 files changed, 170 insertions(+), 55 deletions(-) diff --git a/semantic_router/index/pinecone.py b/semantic_router/index/pinecone.py index 174fb49a..3de221ba 100644 --- a/semantic_router/index/pinecone.py +++ b/semantic_router/index/pinecone.py @@ -270,10 +270,10 @@ def _sync_index( remote_utterances = remote_dict.get(route, {}).get("utterances", set()) local_function_schemas = local_dict.get(route, {}).get( "function_schemas", {} - ) + ) or {} remote_function_schemas = remote_dict.get(route, {}).get( "function_schemas", {} - ) + ) or {} local_metadata = local_dict.get(route, {}).get("metadata", {}) remote_metadata = remote_dict.get(route, {}).get("metadata", {}) @@ -295,7 +295,7 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas, + "function_schemas": local_function_schemas if local_function_schemas else None, "metadata": local_metadata, } @@ -303,7 +303,7 @@ def _sync_index( if remote_utterances: layer_routes[route] = { "utterances": list(remote_utterances), - "function_schemas": remote_function_schemas, + "function_schemas": remote_function_schemas if remote_function_schemas else None, "metadata": remote_metadata, } @@ -319,7 +319,7 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas, + "function_schemas": local_function_schemas if local_function_schemas else None, "metadata": local_metadata, } @@ -329,14 +329,14 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas, + "function_schemas": local_function_schemas if local_function_schemas else None, "metadata": local_metadata, } else: if remote_utterances: layer_routes[route] = { "utterances": list(remote_utterances), - "function_schemas": remote_function_schemas, + "function_schemas": remote_function_schemas if remote_function_schemas else None, "metadata": remote_metadata, } @@ -353,14 +353,14 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas, + "function_schemas": local_function_schemas if local_function_schemas else None, "metadata": local_metadata, } else: if remote_utterances: layer_routes[route] = { "utterances": list(remote_utterances), - "function_schemas": remote_function_schemas, + "function_schemas": remote_function_schemas if remote_function_schemas else None, "metadata": remote_metadata, } @@ -375,7 +375,7 @@ def _sync_index( } layer_routes[route] = { "utterances": list(remote_utterances.union(local_utterances)), - "function_schemas": merged_function_schemas, + "function_schemas": merged_function_schemas if merged_function_schemas else None, "metadata": merged_metadata, } @@ -389,17 +389,17 @@ def _sync_index( ]: for utterance in local_utterances: routes_to_add.append( - (route, utterance, local_function_schemas, local_metadata) + (route, utterance, local_function_schemas if local_function_schemas else None, local_metadata) ) if (metadata_changed or function_schema_changed) and self.sync == "merge": for utterance in local_utterances: routes_to_add.append( - (route, utterance, merged_function_schemas, merged_metadata) + (route, utterance, merged_function_schemas if merged_function_schemas else None, merged_metadata) ) elif utterances_to_include: for utterance in utterances_to_include: routes_to_add.append( - (route, utterance, local_function_schemas, local_metadata) + (route, utterance, local_function_schemas if local_function_schemas else None, local_metadata) ) return routes_to_add, routes_to_delete, layer_routes diff --git a/semantic_router/layer.py b/semantic_router/layer.py index 0bf7d99f..f7d1395a 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -250,7 +250,6 @@ def __call__( if text is None: raise ValueError("Either text or vector must be provided") vector = self._encode(text=text) - route, top_class_scores = self._retrieve_top_route(vector, route_filter) passed = self._check_threshold(top_class_scores, route) if passed and route is not None and not simulate_static: @@ -448,7 +447,10 @@ def delete(self, route_name: str): if route_name not in [route.name for route in self.routes]: err_msg = f"Route `{route_name}` not found in RouteLayer" logger.warning(err_msg) - self.index.delete(route_name=route_name) + try: + self.index.delete(route_name=route_name) + except Exception as e: + logger.error(f"Failed to delete route from the index: {e}") else: self.routes = [route for route in self.routes if route.name != route_name] self.index.delete(route_name=route_name) @@ -503,13 +505,9 @@ def _add_and_sync_routes(self, routes: List[Route]): local_utterances, local_function_schemas, local_metadata, - dimensions=len(self.encoder(["dummy"])[0]), + dimensions=self.index.dimensions or len(self.encoder(["dummy"])[0]), ) - logger.info(f"Routes to add: {routes_to_add}") - logger.info(f"Routes to delete: {routes_to_delete}") - logger.info(f"Layer routes: {layer_routes_dict}") - data_to_delete = {} # type: ignore for route, utterance in routes_to_delete: data_to_delete.setdefault(route, []).append(utterance) @@ -548,7 +546,7 @@ def _add_and_sync_routes(self, routes: List[Route]): Route( name=route, utterances=data.get("utterances", []), - function_schemas=[data.get("function_schemas", None)], + function_schemas=[data.get("function_schemas", None)] if data.get("function_schemas") else None, metadata=data.get("metadata", {}), ) for route, data in layer_routes_dict.items() diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 05979cd2..eaec568e 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -23,6 +23,7 @@ def mock_encoder_call(utterances): "Goodbye": [0.7, 0.8, 0.9], "Bye": [1.0, 1.1, 1.2], "Au revoir": [1.3, 1.4, 1.5], + "Asparagus": [-2.0, 1.0, 0.0], } return [mock_responses.get(u, [0.0, 0.0, 0.0]) for u in utterances] @@ -93,7 +94,7 @@ def openai_encoder(mocker): @pytest.fixture def routes(): return [ - Route(name="Route 1", utterances=["Hello", "Hi"]), + Route(name="Route 1", utterances=["Hello", "Hi"], metadata={"type": "default"}), Route(name="Route 2", utterances=["Goodbye", "Bye", "Au revoir"]), ] @@ -102,7 +103,7 @@ def routes(): def routes_2(): return [ Route(name="Route 1", utterances=["Hello"]), - Route(name="Route 2", utterances=["Hello"]), + Route(name="Route 2", utterances=["Hi"]), ] @@ -113,6 +114,13 @@ def routes_3(): Route(name="Route 2", utterances=["Asparagus"]), ] +@pytest.fixture +def routes_4(): + return [ + Route(name="Route 1", utterances=["Goodbye"], metadata={"type": "default"}), + Route(name="Route 2", utterances=["Asparagus"]), + ] + @pytest.fixture def dynamic_routes(): @@ -146,6 +154,9 @@ def get_test_indexes(): if importlib.util.find_spec("qdrant_client") is not None: indexes.append(QdrantIndex) + if importlib.util.find_spec("pinecone") is not None: + indexes.append(PineconeIndex) + return indexes @@ -155,6 +166,9 @@ def test_initialization(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, top_k=10, index=index_cls() ) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated + assert openai_encoder.score_threshold == 0.3 assert route_layer.score_threshold == 0.3 assert route_layer.top_k == 10 @@ -192,25 +206,28 @@ def test_initialization_dynamic_route( assert openai_encoder.score_threshold == 0.3 assert route_layer_openai.score_threshold == 0.3 - def test_add_route(self, openai_encoder, index_cls): + def test_add_route(self, routes, openai_encoder, index_cls): route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) - route1 = Route(name="Route 1", utterances=["Yes", "No"]) - route2 = Route(name="Route 2", utterances=["Maybe", "Sure"]) # Initially, the routes list should be empty assert route_layer.routes == [] + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated # Add route1 and check - route_layer.add(route=route1) - assert route_layer.routes == [route1] + route_layer.add(route=routes[0]) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated + assert route_layer.routes == [routes[0]] assert route_layer.index is not None - # Use the describe method to get the number of vectors - assert route_layer.index.describe()["vectors"] == 2 + assert len(route_layer.index.get_routes()) == 2 # Add route2 and check - route_layer.add(route=route2) - assert route_layer.routes == [route1, route2] - assert route_layer.index.describe()["vectors"] == 4 + route_layer.add(route=routes[1]) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated + assert route_layer.routes == [routes[0], routes[1]] + assert len(route_layer.index.get_routes()) == 5 def test_list_route_names(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( @@ -228,6 +245,8 @@ def test_delete_route(self, openai_encoder, routes, index_cls): # Delete a route by name route_to_delete = routes[0].name route_layer.delete(route_to_delete) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated # Ensure the route is no longer in the route layer assert ( route_to_delete not in route_layer.list_route_names() @@ -242,6 +261,8 @@ def test_remove_route_not_found(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=index_cls() ) + if index_cls is PineconeIndex: + time.sleep(15) # Attempt to remove a route that does not exist non_existent_route = "non-existent-route" route_layer.delete(non_existent_route) @@ -249,21 +270,44 @@ def test_remove_route_not_found(self, openai_encoder, routes, index_cls): def test_add_multiple_routes(self, openai_encoder, routes, index_cls): route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + if index_cls is PineconeIndex: + time.sleep(15) route_layer._add_routes(routes=routes) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated assert route_layer.index is not None - assert route_layer.index.describe()["vectors"] == 5 + assert len(route_layer.index.get_routes()) == 5 def test_query_and_classification(self, openai_encoder, routes, index_cls): - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() - ) + if index_cls is PineconeIndex: + pineconeindex = PineconeIndex(dimensions=3) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=pineconeindex + ) + time.sleep(15) + else: + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=index_cls() + ) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated query_result = route_layer(text="Hello").name assert query_result in ["Route 1", "Route 2"] def test_query_filter(self, openai_encoder, routes, index_cls): - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() - ) + if index_cls is PineconeIndex: + pineconeindex = PineconeIndex(dimensions=3) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=pineconeindex + ) + time.sleep(15) + else: + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=index_cls() + ) + + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated query_result = route_layer(text="Hello", route_filter=["Route 1"]).name try: @@ -277,13 +321,12 @@ def test_query_filter(self, openai_encoder, routes, index_cls): os.environ.get("PINECONE_API_KEY") is None, reason="Pinecone API key required" ) def test_query_filter_pinecone(self, openai_encoder, routes, index_cls): - if type(index_cls) == PineconeIndex: - pinecone_api_key = os.environ["PINECONE_API_KEY"] - pineconeindex = PineconeIndex(api_key=pinecone_api_key) + if index_cls is PineconeIndex: + pineconeindex = PineconeIndex(dimensions=3) route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) - time.sleep(10) # allow for index to be populated + time.sleep(15) # allow for index to be populated query_result = route_layer(text="Hello", route_filter=["Route 1"]).name try: @@ -297,13 +340,12 @@ def test_query_filter_pinecone(self, openai_encoder, routes, index_cls): os.environ.get("PINECONE_API_KEY") is None, reason="Pinecone API key required" ) def test_namespace_pinecone_index(self, openai_encoder, routes, index_cls): - if type(index_cls) == PineconeIndex: - pinecone_api_key = os.environ["PINECONE_API_KEY"] - pineconeindex = PineconeIndex(api_key=pinecone_api_key, namespace="test") + if index_cls is PineconeIndex: + pineconeindex = PineconeIndex(namespace="test") route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) - time.sleep(10) # allow for index to be populated + time.sleep(15) # allow for index to be populated query_result = route_layer(text="Hello", route_filter=["Route 1"]).name try: @@ -312,9 +354,72 @@ def test_namespace_pinecone_index(self, openai_encoder, routes, index_cls): assert True assert query_result in ["Route 1"] + route_layer.index.index.delete(namespace="test", delete_all=True) + + @pytest.mark.skipif( + os.environ.get("PINECONE_API_KEY") is None, reason="Pinecone API key required" + ) + def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_cls): + if index_cls is PineconeIndex: + # TEST LOCAL + pinecone_index = PineconeIndex(sync="local") + route_layer = RouteLayer(encoder=openai_encoder, routes=routes_2, index=pinecone_index) + time.sleep(15) # allow for index to be populated + assert route_layer.index.get_routes() == [ + ('Route 1', 'Hello', None, {}), + ('Route 2', 'Hi', None, {}), + ], "The routes in the index should match the local routes" + + # TEST REMOTE + pinecone_index = PineconeIndex(sync="remote") + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=pinecone_index) + + time.sleep(15) # allow for index to be populated + assert route_layer.index.get_routes() == [ + ('Route 1', 'Hello', None, {}), + ('Route 2', 'Hi', None, {}), + ], "The routes in the index should match the local routes" + + # TEST MERGE FORCE REMOTE + pinecone_index = PineconeIndex(sync="merge-force-remote") + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=pinecone_index) + + time.sleep(15) # allow for index to be populated + assert route_layer.index.get_routes() == [ + ('Route 1', 'Hello', None, {}), + ('Route 2', 'Hi', None, {}), + ], "The routes in the index should match the local routes" + + # TEST MERGE FORCE LOCAL + pinecone_index = PineconeIndex(sync="merge-force-local") + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=pinecone_index) + + time.sleep(15) # allow for index to be populated + assert route_layer.index.get_routes() == [ + ('Route 1', 'Hello', None, {'type': 'default'}), + ('Route 1', 'Hi', None, {'type': 'default'}), + ('Route 2', 'Bye', None, {}), + ('Route 2', 'Au revoir', None, {}), + ('Route 2', 'Goodbye', None, {}) + ], "The routes in the index should match the local routes" + + # TEST MERGE + pinecone_index = PineconeIndex(sync="merge") + route_layer = RouteLayer(encoder=openai_encoder, routes=routes_4, index=pinecone_index) + + time.sleep(15) # allow for index to be populated + assert route_layer.index.get_routes() == [ + ('Route 1', 'Hello', None, {'type': 'default'}), + ('Route 1', 'Hi', None, {'type': 'default'}), + ('Route 1', 'Goodbye', None, {'type': 'default'}), + ('Route 2', 'Bye', None, {}), + ('Route 2', 'Asparagus', None, {}), + ('Route 2', 'Au revoir', None, {}), + ('Route 2', 'Goodbye', None, {}), + ], "The routes in the index should match the local routes" def test_query_with_no_index(self, openai_encoder, index_cls): - route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + route_layer = RouteLayer(encoder=openai_encoder) with pytest.raises(ValueError): assert route_layer(text="Anything").name is None @@ -322,6 +427,8 @@ def test_query_with_vector(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=index_cls() ) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated vector = [0.1, 0.2, 0.3] query_result = route_layer(vector=vector).name assert query_result in ["Route 1", "Route 2"] @@ -372,12 +479,12 @@ def test_query_no_text_dynamic_route( def test_pass_threshold(self, openai_encoder, index_cls): route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) - assert not route_layer._pass_threshold([], 0.5) - assert route_layer._pass_threshold([0.6, 0.7], 0.5) + assert not route_layer._pass_threshold([], 0.3) + assert route_layer._pass_threshold([0.6, 0.7], 0.3) - def test_failover_score_threshold(self, base_encoder, index_cls): - route_layer = RouteLayer(encoder=base_encoder, index=index_cls()) - assert route_layer.score_threshold == 0.5 + def test_failover_score_threshold(self, openai_encoder, index_cls): + route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + assert route_layer.score_threshold == 0.3 def test_json(self, openai_encoder, routes, index_cls): temp = tempfile.NamedTemporaryFile(suffix=".yaml", delete=False) @@ -391,6 +498,8 @@ def test_json(self, openai_encoder, routes, index_cls): route_layer.to_json(temp_path) assert os.path.exists(temp_path) route_layer_from_file = RouteLayer.from_json(temp_path) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated assert ( route_layer_from_file.index is not None and route_layer_from_file._get_route_names() is not None @@ -410,6 +519,8 @@ def test_yaml(self, openai_encoder, routes, index_cls): route_layer.to_yaml(temp_path) assert os.path.exists(temp_path) route_layer_from_file = RouteLayer.from_yaml(temp_path) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated assert ( route_layer_from_file.index is not None and route_layer_from_file._get_route_names() is not None @@ -530,9 +641,11 @@ def test_config(self, openai_encoder, routes, index_cls): ) # confirm route creation functions as expected layer_config = route_layer.to_config() - assert layer_config.routes == routes + assert layer_config.routes == route_layer.routes # now load from config and confirm it's the same route_layer_from_config = RouteLayer.from_config(layer_config, index_cls()) + if index_cls is PineconeIndex: + time.sleep(15) # allow for index to be populated assert ( route_layer_from_config._get_route_names() == route_layer._get_route_names() ) @@ -647,6 +760,8 @@ def test_retrieve_one_match(self, openai_encoder, routes_3, index_cls): encoder=openai_encoder, routes=routes_3, index=index_cls() ) text = "Hello" + if index_cls is PineconeIndex: + time.sleep(15) results = route_layer.retrieve_multiple_routes(text=text) assert len(results) == 1, f"Expected one result, and got {len(results)}" matched_routes = [result.name for result in results] @@ -659,6 +774,8 @@ def test_retrieve_with_text_for_multiple_matches( encoder=openai_encoder, routes=routes_2, index=index_cls() ) text = "Hello" + if index_cls is PineconeIndex: + time.sleep(15) results = route_layer.retrieve_multiple_routes(text=text) assert len(results) == 2, "Expected two results" matched_routes = [result.name for result in results] From 3e5a9bc278519180e88f016c18c2d95b2398746a Mon Sep 17 00:00:00 2001 From: Vits Date: Thu, 5 Sep 2024 12:12:30 +0200 Subject: [PATCH 05/41] Formatting and linting --- semantic_router/index/pinecone.py | 77 ++++++++++++++++++++++++------- semantic_router/layer.py | 6 ++- tests/unit/test_layer.py | 59 +++++++++++++---------- 3 files changed, 100 insertions(+), 42 deletions(-) diff --git a/semantic_router/index/pinecone.py b/semantic_router/index/pinecone.py index 3de221ba..9e5d0f2e 100644 --- a/semantic_router/index/pinecone.py +++ b/semantic_router/index/pinecone.py @@ -268,12 +268,12 @@ def _sync_index( for route in all_routes: local_utterances = local_dict.get(route, {}).get("utterances", set()) remote_utterances = remote_dict.get(route, {}).get("utterances", set()) - local_function_schemas = local_dict.get(route, {}).get( - "function_schemas", {} - ) or {} - remote_function_schemas = remote_dict.get(route, {}).get( - "function_schemas", {} - ) or {} + local_function_schemas = ( + local_dict.get(route, {}).get("function_schemas", {}) or {} + ) + remote_function_schemas = ( + remote_dict.get(route, {}).get("function_schemas", {}) or {} + ) local_metadata = local_dict.get(route, {}).get("metadata", {}) remote_metadata = remote_dict.get(route, {}).get("metadata", {}) @@ -295,7 +295,9 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas if local_function_schemas else None, + "function_schemas": ( + local_function_schemas if local_function_schemas else None + ), "metadata": local_metadata, } @@ -303,7 +305,9 @@ def _sync_index( if remote_utterances: layer_routes[route] = { "utterances": list(remote_utterances), - "function_schemas": remote_function_schemas if remote_function_schemas else None, + "function_schemas": ( + remote_function_schemas if remote_function_schemas else None + ), "metadata": remote_metadata, } @@ -319,7 +323,9 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas if local_function_schemas else None, + "function_schemas": ( + local_function_schemas if local_function_schemas else None + ), "metadata": local_metadata, } @@ -329,14 +335,22 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas if local_function_schemas else None, + "function_schemas": ( + local_function_schemas + if local_function_schemas + else None + ), "metadata": local_metadata, } else: if remote_utterances: layer_routes[route] = { "utterances": list(remote_utterances), - "function_schemas": remote_function_schemas if remote_function_schemas else None, + "function_schemas": ( + remote_function_schemas + if remote_function_schemas + else None + ), "metadata": remote_metadata, } @@ -353,14 +367,22 @@ def _sync_index( if local_utterances: layer_routes[route] = { "utterances": list(local_utterances), - "function_schemas": local_function_schemas if local_function_schemas else None, + "function_schemas": ( + local_function_schemas + if local_function_schemas + else None + ), "metadata": local_metadata, } else: if remote_utterances: layer_routes[route] = { "utterances": list(remote_utterances), - "function_schemas": remote_function_schemas if remote_function_schemas else None, + "function_schemas": ( + remote_function_schemas + if remote_function_schemas + else None + ), "metadata": remote_metadata, } @@ -375,7 +397,9 @@ def _sync_index( } layer_routes[route] = { "utterances": list(remote_utterances.union(local_utterances)), - "function_schemas": merged_function_schemas if merged_function_schemas else None, + "function_schemas": ( + merged_function_schemas if merged_function_schemas else None + ), "metadata": merged_metadata, } @@ -389,17 +413,36 @@ def _sync_index( ]: for utterance in local_utterances: routes_to_add.append( - (route, utterance, local_function_schemas if local_function_schemas else None, local_metadata) + ( + route, + utterance, + local_function_schemas if local_function_schemas else None, + local_metadata, + ) ) if (metadata_changed or function_schema_changed) and self.sync == "merge": for utterance in local_utterances: routes_to_add.append( - (route, utterance, merged_function_schemas if merged_function_schemas else None, merged_metadata) + ( + route, + utterance, + ( + merged_function_schemas + if merged_function_schemas + else None + ), + merged_metadata, + ) ) elif utterances_to_include: for utterance in utterances_to_include: routes_to_add.append( - (route, utterance, local_function_schemas if local_function_schemas else None, local_metadata) + ( + route, + utterance, + local_function_schemas if local_function_schemas else None, + local_metadata, + ) ) return routes_to_add, routes_to_delete, layer_routes diff --git a/semantic_router/layer.py b/semantic_router/layer.py index f7d1395a..45a80bde 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -546,7 +546,11 @@ def _add_and_sync_routes(self, routes: List[Route]): Route( name=route, utterances=data.get("utterances", []), - function_schemas=[data.get("function_schemas", None)] if data.get("function_schemas") else None, + function_schemas=( + [data.get("function_schemas", None)] + if data.get("function_schemas") + else None + ), metadata=data.get("metadata", {}), ) for route, data in layer_routes_dict.items() diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index eaec568e..ff87e6f4 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -114,6 +114,7 @@ def routes_3(): Route(name="Route 2", utterances=["Asparagus"]), ] + @pytest.fixture def routes_4(): return [ @@ -168,7 +169,7 @@ def test_initialization(self, openai_encoder, routes, index_cls): ) if index_cls is PineconeIndex: time.sleep(15) # allow for index to be populated - + assert openai_encoder.score_threshold == 0.3 assert route_layer.score_threshold == 0.3 assert route_layer.top_k == 10 @@ -363,59 +364,69 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c if index_cls is PineconeIndex: # TEST LOCAL pinecone_index = PineconeIndex(sync="local") - route_layer = RouteLayer(encoder=openai_encoder, routes=routes_2, index=pinecone_index) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes_2, index=pinecone_index + ) time.sleep(15) # allow for index to be populated assert route_layer.index.get_routes() == [ - ('Route 1', 'Hello', None, {}), - ('Route 2', 'Hi', None, {}), + ("Route 1", "Hello", None, {}), + ("Route 2", "Hi", None, {}), ], "The routes in the index should match the local routes" # TEST REMOTE pinecone_index = PineconeIndex(sync="remote") - route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=pinecone_index) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=pinecone_index + ) time.sleep(15) # allow for index to be populated assert route_layer.index.get_routes() == [ - ('Route 1', 'Hello', None, {}), - ('Route 2', 'Hi', None, {}), + ("Route 1", "Hello", None, {}), + ("Route 2", "Hi", None, {}), ], "The routes in the index should match the local routes" # TEST MERGE FORCE REMOTE pinecone_index = PineconeIndex(sync="merge-force-remote") - route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=pinecone_index) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=pinecone_index + ) time.sleep(15) # allow for index to be populated assert route_layer.index.get_routes() == [ - ('Route 1', 'Hello', None, {}), - ('Route 2', 'Hi', None, {}), + ("Route 1", "Hello", None, {}), + ("Route 2", "Hi", None, {}), ], "The routes in the index should match the local routes" # TEST MERGE FORCE LOCAL pinecone_index = PineconeIndex(sync="merge-force-local") - route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=pinecone_index) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=pinecone_index + ) time.sleep(15) # allow for index to be populated assert route_layer.index.get_routes() == [ - ('Route 1', 'Hello', None, {'type': 'default'}), - ('Route 1', 'Hi', None, {'type': 'default'}), - ('Route 2', 'Bye', None, {}), - ('Route 2', 'Au revoir', None, {}), - ('Route 2', 'Goodbye', None, {}) + ("Route 1", "Hello", None, {"type": "default"}), + ("Route 1", "Hi", None, {"type": "default"}), + ("Route 2", "Bye", None, {}), + ("Route 2", "Au revoir", None, {}), + ("Route 2", "Goodbye", None, {}), ], "The routes in the index should match the local routes" # TEST MERGE pinecone_index = PineconeIndex(sync="merge") - route_layer = RouteLayer(encoder=openai_encoder, routes=routes_4, index=pinecone_index) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes_4, index=pinecone_index + ) time.sleep(15) # allow for index to be populated assert route_layer.index.get_routes() == [ - ('Route 1', 'Hello', None, {'type': 'default'}), - ('Route 1', 'Hi', None, {'type': 'default'}), - ('Route 1', 'Goodbye', None, {'type': 'default'}), - ('Route 2', 'Bye', None, {}), - ('Route 2', 'Asparagus', None, {}), - ('Route 2', 'Au revoir', None, {}), - ('Route 2', 'Goodbye', None, {}), + ("Route 1", "Hello", None, {"type": "default"}), + ("Route 1", "Hi", None, {"type": "default"}), + ("Route 1", "Goodbye", None, {"type": "default"}), + ("Route 2", "Bye", None, {}), + ("Route 2", "Asparagus", None, {}), + ("Route 2", "Au revoir", None, {}), + ("Route 2", "Goodbye", None, {}), ], "The routes in the index should match the local routes" def test_query_with_no_index(self, openai_encoder, index_cls): From 1c73d261d06cf270b4134b4ca8b9371c5abb8f84 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 5 Sep 2024 12:51:15 +0200 Subject: [PATCH 06/41] fix: add pinecone sleep param --- tests/unit/test_layer.py | 52 +++++++++++++++++++++------------------- 1 file changed, 27 insertions(+), 25 deletions(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index ff87e6f4..92d40843 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -15,6 +15,8 @@ from semantic_router.route import Route +PINECONE_SLEEP = 20 + def mock_encoder_call(utterances): # Define a mapping of utterances to return values mock_responses = { @@ -168,7 +170,7 @@ def test_initialization(self, openai_encoder, routes, index_cls): encoder=openai_encoder, routes=routes, top_k=10, index=index_cls() ) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert openai_encoder.score_threshold == 0.3 assert route_layer.score_threshold == 0.3 @@ -213,12 +215,12 @@ def test_add_route(self, routes, openai_encoder, index_cls): # Initially, the routes list should be empty assert route_layer.routes == [] if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated # Add route1 and check route_layer.add(route=routes[0]) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.routes == [routes[0]] assert route_layer.index is not None assert len(route_layer.index.get_routes()) == 2 @@ -226,7 +228,7 @@ def test_add_route(self, routes, openai_encoder, index_cls): # Add route2 and check route_layer.add(route=routes[1]) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.routes == [routes[0], routes[1]] assert len(route_layer.index.get_routes()) == 5 @@ -247,7 +249,7 @@ def test_delete_route(self, openai_encoder, routes, index_cls): route_to_delete = routes[0].name route_layer.delete(route_to_delete) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated # Ensure the route is no longer in the route layer assert ( route_to_delete not in route_layer.list_route_names() @@ -263,7 +265,7 @@ def test_remove_route_not_found(self, openai_encoder, routes, index_cls): encoder=openai_encoder, routes=routes, index=index_cls() ) if index_cls is PineconeIndex: - time.sleep(15) + time.sleep(PINECONE_SLEEP) # Attempt to remove a route that does not exist non_existent_route = "non-existent-route" route_layer.delete(non_existent_route) @@ -272,10 +274,10 @@ def test_remove_route_not_found(self, openai_encoder, routes, index_cls): def test_add_multiple_routes(self, openai_encoder, routes, index_cls): route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) if index_cls is PineconeIndex: - time.sleep(15) + time.sleep(PINECONE_SLEEP) route_layer._add_routes(routes=routes) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.index is not None assert len(route_layer.index.get_routes()) == 5 @@ -285,13 +287,13 @@ def test_query_and_classification(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) - time.sleep(15) + time.sleep(PINECONE_SLEEP) else: route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=index_cls() ) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated query_result = route_layer(text="Hello").name assert query_result in ["Route 1", "Route 2"] @@ -301,14 +303,14 @@ def test_query_filter(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) - time.sleep(15) + time.sleep(PINECONE_SLEEP) else: route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=index_cls() ) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated query_result = route_layer(text="Hello", route_filter=["Route 1"]).name try: @@ -327,7 +329,7 @@ def test_query_filter_pinecone(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated query_result = route_layer(text="Hello", route_filter=["Route 1"]).name try: @@ -346,7 +348,7 @@ def test_namespace_pinecone_index(self, openai_encoder, routes, index_cls): route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated query_result = route_layer(text="Hello", route_filter=["Route 1"]).name try: @@ -367,7 +369,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c route_layer = RouteLayer( encoder=openai_encoder, routes=routes_2, index=pinecone_index ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.index.get_routes() == [ ("Route 1", "Hello", None, {}), ("Route 2", "Hi", None, {}), @@ -379,7 +381,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c encoder=openai_encoder, routes=routes, index=pinecone_index ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.index.get_routes() == [ ("Route 1", "Hello", None, {}), ("Route 2", "Hi", None, {}), @@ -391,7 +393,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c encoder=openai_encoder, routes=routes, index=pinecone_index ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.index.get_routes() == [ ("Route 1", "Hello", None, {}), ("Route 2", "Hi", None, {}), @@ -403,7 +405,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c encoder=openai_encoder, routes=routes, index=pinecone_index ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.index.get_routes() == [ ("Route 1", "Hello", None, {"type": "default"}), ("Route 1", "Hi", None, {"type": "default"}), @@ -418,7 +420,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c encoder=openai_encoder, routes=routes_4, index=pinecone_index ) - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert route_layer.index.get_routes() == [ ("Route 1", "Hello", None, {"type": "default"}), ("Route 1", "Hi", None, {"type": "default"}), @@ -439,7 +441,7 @@ def test_query_with_vector(self, openai_encoder, routes, index_cls): encoder=openai_encoder, routes=routes, index=index_cls() ) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated vector = [0.1, 0.2, 0.3] query_result = route_layer(vector=vector).name assert query_result in ["Route 1", "Route 2"] @@ -510,7 +512,7 @@ def test_json(self, openai_encoder, routes, index_cls): assert os.path.exists(temp_path) route_layer_from_file = RouteLayer.from_json(temp_path) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert ( route_layer_from_file.index is not None and route_layer_from_file._get_route_names() is not None @@ -531,7 +533,7 @@ def test_yaml(self, openai_encoder, routes, index_cls): assert os.path.exists(temp_path) route_layer_from_file = RouteLayer.from_yaml(temp_path) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert ( route_layer_from_file.index is not None and route_layer_from_file._get_route_names() is not None @@ -656,7 +658,7 @@ def test_config(self, openai_encoder, routes, index_cls): # now load from config and confirm it's the same route_layer_from_config = RouteLayer.from_config(layer_config, index_cls()) if index_cls is PineconeIndex: - time.sleep(15) # allow for index to be populated + time.sleep(PINECONE_SLEEP) # allow for index to be populated assert ( route_layer_from_config._get_route_names() == route_layer._get_route_names() ) @@ -772,7 +774,7 @@ def test_retrieve_one_match(self, openai_encoder, routes_3, index_cls): ) text = "Hello" if index_cls is PineconeIndex: - time.sleep(15) + time.sleep(PINECONE_SLEEP) results = route_layer.retrieve_multiple_routes(text=text) assert len(results) == 1, f"Expected one result, and got {len(results)}" matched_routes = [result.name for result in results] @@ -786,7 +788,7 @@ def test_retrieve_with_text_for_multiple_matches( ) text = "Hello" if index_cls is PineconeIndex: - time.sleep(15) + time.sleep(PINECONE_SLEEP) results = route_layer.retrieve_multiple_routes(text=text) assert len(results) == 2, "Expected two results" matched_routes = [result.name for result in results] From 40a1b64b73b77bd2cf15b736e1d6e5aff8943fdd Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 5 Sep 2024 13:37:09 +0200 Subject: [PATCH 07/41] fix: adjust tests to use same index per version and run --- tests/unit/test_layer.py | 169 ++++++++++++++++++++++++--------------- 1 file changed, 105 insertions(+), 64 deletions(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 92d40843..9fdc4459 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -2,10 +2,10 @@ import os import tempfile from unittest.mock import mock_open, patch - +from datetime import datetime import pytest import time - +from typing import Optional from semantic_router.encoders import BaseEncoder, CohereEncoder, OpenAIEncoder from semantic_router.index.local import LocalIndex from semantic_router.index.pinecone import PineconeIndex @@ -13,9 +13,10 @@ from semantic_router.layer import LayerConfig, RouteLayer from semantic_router.llms.base import BaseLLM from semantic_router.route import Route +from platform import python_version -PINECONE_SLEEP = 20 +PINECONE_SLEEP = 5 def mock_encoder_call(utterances): # Define a mapping of utterances to return values @@ -29,6 +30,27 @@ def mock_encoder_call(utterances): } return [mock_responses.get(u, [0.0, 0.0, 0.0]) for u in utterances] +TEST_ID = f"{python_version().replace('.', '')}-{datetime.now().strftime('%Y%m%d%H%M%S')}" + +def init_index( + index_cls, + dimensions: Optional[int] = None, + namespace: Optional[str] = "", + sync: str = "local" +): + """We use this function to initialize indexes with different names to avoid + issues during testing. + """ + if index_cls is PineconeIndex: + index = index_cls( + index_name=TEST_ID, + dimensions=dimensions, + namespace=namespace, + sync=sync + ) + else: + index = index_cls() + return index def layer_json(): return """{ @@ -166,8 +188,9 @@ def get_test_indexes(): @pytest.mark.parametrize("index_cls", get_test_indexes()) class TestRouteLayer: def test_initialization(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, top_k=10, index=index_cls() + encoder=openai_encoder, routes=routes, top_k=10, index=index ) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated @@ -185,10 +208,11 @@ def test_initialization(self, openai_encoder, routes, index_cls): def test_initialization_different_encoders( self, cohere_encoder, openai_encoder, index_cls ): - route_layer_cohere = RouteLayer(encoder=cohere_encoder, index=index_cls()) + index = init_index(index_cls) + route_layer_cohere = RouteLayer(encoder=cohere_encoder, index=index) assert cohere_encoder.score_threshold == 0.3 assert route_layer_cohere.score_threshold == 0.3 - route_layer_openai = RouteLayer(encoder=openai_encoder, index=index_cls()) + route_layer_openai = RouteLayer(encoder=openai_encoder, index=index) assert route_layer_openai.score_threshold == 0.3 def test_initialization_no_encoder(self, openai_encoder, index_cls): @@ -199,18 +223,20 @@ def test_initialization_no_encoder(self, openai_encoder, index_cls): def test_initialization_dynamic_route( self, cohere_encoder, openai_encoder, dynamic_routes, index_cls ): + index = init_index(index_cls) route_layer_cohere = RouteLayer( - encoder=cohere_encoder, routes=dynamic_routes, index=index_cls() + encoder=cohere_encoder, routes=dynamic_routes, index=index ) assert route_layer_cohere.score_threshold == 0.3 route_layer_openai = RouteLayer( - encoder=openai_encoder, routes=dynamic_routes, index=index_cls() + encoder=openai_encoder, routes=dynamic_routes, index=index ) assert openai_encoder.score_threshold == 0.3 assert route_layer_openai.score_threshold == 0.3 def test_add_route(self, routes, openai_encoder, index_cls): - route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, index=index) # Initially, the routes list should be empty assert route_layer.routes == [] @@ -233,8 +259,9 @@ def test_add_route(self, routes, openai_encoder, index_cls): assert len(route_layer.index.get_routes()) == 5 def test_list_route_names(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_names = route_layer.list_route_names() assert set(route_names) == { @@ -242,8 +269,9 @@ def test_list_route_names(self, openai_encoder, routes, index_cls): }, "The list of route names should match the names of the routes added." def test_delete_route(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) # Delete a route by name route_to_delete = routes[0].name @@ -261,8 +289,9 @@ def test_delete_route(self, openai_encoder, routes, index_cls): ), "The route's utterances should be deleted from the index." def test_remove_route_not_found(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) @@ -272,7 +301,8 @@ def test_remove_route_not_found(self, openai_encoder, routes, index_cls): # we should see warning in logs only (ie no errors) def test_add_multiple_routes(self, openai_encoder, routes, index_cls): - route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, index=index) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) route_layer._add_routes(routes=routes) @@ -282,32 +312,20 @@ def test_add_multiple_routes(self, openai_encoder, routes, index_cls): assert len(route_layer.index.get_routes()) == 5 def test_query_and_classification(self, openai_encoder, routes, index_cls): - if index_cls is PineconeIndex: - pineconeindex = PineconeIndex(dimensions=3) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=pineconeindex - ) - time.sleep(PINECONE_SLEEP) - else: - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() - ) + index = init_index(index_cls, dimensions=3) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=index + ) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated query_result = route_layer(text="Hello").name assert query_result in ["Route 1", "Route 2"] def test_query_filter(self, openai_encoder, routes, index_cls): - if index_cls is PineconeIndex: - pineconeindex = PineconeIndex(dimensions=3) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=pineconeindex - ) - time.sleep(PINECONE_SLEEP) - else: - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() - ) + index = init_index(index_cls, dimensions=3) + route_layer = RouteLayer( + encoder=openai_encoder, routes=routes, index=index + ) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated @@ -325,7 +343,7 @@ def test_query_filter(self, openai_encoder, routes, index_cls): ) def test_query_filter_pinecone(self, openai_encoder, routes, index_cls): if index_cls is PineconeIndex: - pineconeindex = PineconeIndex(dimensions=3) + pineconeindex = init_index(index_cls, dimensions=3) route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) @@ -344,7 +362,7 @@ def test_query_filter_pinecone(self, openai_encoder, routes, index_cls): ) def test_namespace_pinecone_index(self, openai_encoder, routes, index_cls): if index_cls is PineconeIndex: - pineconeindex = PineconeIndex(namespace="test") + pineconeindex = init_index(index_cls, namespace="test") route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pineconeindex ) @@ -365,7 +383,7 @@ def test_namespace_pinecone_index(self, openai_encoder, routes, index_cls): def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_cls): if index_cls is PineconeIndex: # TEST LOCAL - pinecone_index = PineconeIndex(sync="local") + pinecone_index = init_index(index_cls, sync="local") route_layer = RouteLayer( encoder=openai_encoder, routes=routes_2, index=pinecone_index ) @@ -376,7 +394,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c ], "The routes in the index should match the local routes" # TEST REMOTE - pinecone_index = PineconeIndex(sync="remote") + pinecone_index = init_index(index_cls, sync="remote") route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pinecone_index ) @@ -388,7 +406,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c ], "The routes in the index should match the local routes" # TEST MERGE FORCE REMOTE - pinecone_index = PineconeIndex(sync="merge-force-remote") + pinecone_index = init_index(index_cls, sync="merge-force-remote") route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pinecone_index ) @@ -400,7 +418,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c ], "The routes in the index should match the local routes" # TEST MERGE FORCE LOCAL - pinecone_index = PineconeIndex(sync="merge-force-local") + pinecone_index = init_index(index_cls, sync="merge-force-local") route_layer = RouteLayer( encoder=openai_encoder, routes=routes, index=pinecone_index ) @@ -415,7 +433,7 @@ def test_sync_pinecone(self, openai_encoder, routes, routes_2, routes_4, index_c ], "The routes in the index should match the local routes" # TEST MERGE - pinecone_index = PineconeIndex(sync="merge") + pinecone_index = init_index(index_cls, sync="merge") route_layer = RouteLayer( encoder=openai_encoder, routes=routes_4, index=pinecone_index ) @@ -437,8 +455,9 @@ def test_query_with_no_index(self, openai_encoder, index_cls): assert route_layer(text="Anything").name is None def test_query_with_vector(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated @@ -447,15 +466,17 @@ def test_query_with_vector(self, openai_encoder, routes, index_cls): assert query_result in ["Route 1", "Route 2"] def test_query_with_no_text_or_vector(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) with pytest.raises(ValueError): route_layer() def test_semantic_classify(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) classification, score = route_layer._semantic_classify( [ @@ -467,8 +488,9 @@ def test_semantic_classify(self, openai_encoder, routes, index_cls): assert score == [0.9] def test_semantic_classify_multiple_routes(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) classification, score = route_layer._semantic_classify( [ @@ -483,20 +505,23 @@ def test_semantic_classify_multiple_routes(self, openai_encoder, routes, index_c def test_query_no_text_dynamic_route( self, openai_encoder, dynamic_routes, index_cls ): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=dynamic_routes, index=index_cls() + encoder=openai_encoder, routes=dynamic_routes, index=index ) vector = [0.1, 0.2, 0.3] with pytest.raises(ValueError): route_layer(vector=vector) def test_pass_threshold(self, openai_encoder, index_cls): - route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, index=index) assert not route_layer._pass_threshold([], 0.3) assert route_layer._pass_threshold([0.6, 0.7], 0.3) def test_failover_score_threshold(self, openai_encoder, index_cls): - route_layer = RouteLayer(encoder=openai_encoder, index=index_cls()) + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, index=index) assert route_layer.score_threshold == 0.3 def test_json(self, openai_encoder, routes, index_cls): @@ -505,8 +530,9 @@ def test_json(self, openai_encoder, routes, index_cls): temp_path = temp.name # Save the temporary file's path temp.close() # Close the file to ensure it can be opened again on Windows os.environ["OPENAI_API_KEY"] = "test_api_key" + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_layer.to_json(temp_path) assert os.path.exists(temp_path) @@ -526,8 +552,9 @@ def test_yaml(self, openai_encoder, routes, index_cls): temp_path = temp.name # Save the temporary file's path temp.close() # Close the file to ensure it can be opened again on Windows os.environ["OPENAI_API_KEY"] = "test_api_key" + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_layer.to_yaml(temp_path) assert os.path.exists(temp_path) @@ -649,14 +676,15 @@ def test_from_file_with_llm(self, tmp_path, index_cls): def test_config(self, openai_encoder, routes, index_cls): os.environ["OPENAI_API_KEY"] = "test_api_key" + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) # confirm route creation functions as expected layer_config = route_layer.to_config() assert layer_config.routes == route_layer.routes # now load from config and confirm it's the same - route_layer_from_config = RouteLayer.from_config(layer_config, index_cls()) + route_layer_from_config = RouteLayer.from_config(layer_config, index) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated assert ( @@ -665,16 +693,18 @@ def test_config(self, openai_encoder, routes, index_cls): assert route_layer_from_config.score_threshold == route_layer.score_threshold def test_get_thresholds(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) assert route_layer.get_thresholds() == {"Route 1": 0.3, "Route 2": 0.3} def test_with_multiple_routes_passing_threshold( self, openai_encoder, routes, index_cls ): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_layer.score_threshold = 0.5 # Set the score_threshold if needed # Assuming route_layer is already set up with routes "Route 1" and "Route 2" @@ -692,8 +722,9 @@ def test_with_multiple_routes_passing_threshold( ), "Should classify and return routes above their thresholds" def test_with_no_routes_passing_threshold(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_layer.score_threshold = 0.5 # Override _pass_threshold to always return False for this test @@ -709,8 +740,9 @@ def test_with_no_routes_passing_threshold(self, openai_encoder, routes, index_cl ), "Should return an empty list when no routes pass their thresholds" def test_with_no_query_results(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_layer.score_threshold = 0.5 query_results = [] @@ -721,8 +753,9 @@ def test_with_no_query_results(self, openai_encoder, routes, index_cls): ), "Should return an empty list when there are no query results" def test_with_unrecognized_route(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) route_layer.score_threshold = 0.5 # Test with a route name that does not exist in the route_layer's routes @@ -732,8 +765,9 @@ def test_with_unrecognized_route(self, openai_encoder, routes, index_cls): assert results == expected, "Should ignore and not return unrecognized routes" def test_retrieve_with_text(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) text = "Hello" results = route_layer.retrieve_multiple_routes(text=text) @@ -743,8 +777,9 @@ def test_retrieve_with_text(self, openai_encoder, routes, index_cls): ), "Expected the result to be either 'Route 1' or 'Route 2'" def test_retrieve_with_vector(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) vector = [0.1, 0.2, 0.3] results = route_layer.retrieve_multiple_routes(vector=vector) @@ -754,23 +789,26 @@ def test_retrieve_with_vector(self, openai_encoder, routes, index_cls): ), "Expected the result to be either 'Route 1' or 'Route 2'" def test_retrieve_without_text_or_vector(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) with pytest.raises(ValueError, match="Either text or vector must be provided"): route_layer.retrieve_multiple_routes() def test_retrieve_no_matches(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) text = "Asparagus" results = route_layer.retrieve_multiple_routes(text=text) assert len(results) == 0, f"Expected no results, but got {len(results)}" def test_retrieve_one_match(self, openai_encoder, routes_3, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes_3, index=index_cls() + encoder=openai_encoder, routes=routes_3, index=index ) text = "Hello" if index_cls is PineconeIndex: @@ -783,8 +821,9 @@ def test_retrieve_one_match(self, openai_encoder, routes_3, index_cls): def test_retrieve_with_text_for_multiple_matches( self, openai_encoder, routes_2, index_cls ): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes_2, index=index_cls() + encoder=openai_encoder, routes=routes_2, index=index ) text = "Hello" if index_cls is PineconeIndex: @@ -798,8 +837,9 @@ def test_retrieve_with_text_for_multiple_matches( def test_set_aggregation_method_with_unsupported_value( self, openai_encoder, routes, index_cls ): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) unsupported_aggregation = "unsupported_aggregation_method" with pytest.raises( @@ -809,8 +849,9 @@ def test_set_aggregation_method_with_unsupported_value( route_layer._set_aggregation_method(unsupported_aggregation) def test_refresh_routes_not_implemented(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index_cls() + encoder=openai_encoder, routes=routes, index=index ) with pytest.raises( NotImplementedError, match="This method has not yet been implemented." From 6b440eca8aeb0f670683b99729d7780e8a8148aa Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 5 Sep 2024 13:48:21 +0200 Subject: [PATCH 08/41] fix: increase pinecone sleep --- tests/unit/test_layer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 9fdc4459..fc0a4c45 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -16,7 +16,7 @@ from platform import python_version -PINECONE_SLEEP = 5 +PINECONE_SLEEP = 10 def mock_encoder_call(utterances): # Define a mapping of utterances to return values From dcf8d52ceb5c791e6c46458effde39631b37ab79 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 5 Sep 2024 14:01:39 +0200 Subject: [PATCH 09/41] fix: increase pinecone sleep --- tests/unit/test_layer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index fc0a4c45..920796bd 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -16,7 +16,7 @@ from platform import python_version -PINECONE_SLEEP = 10 +PINECONE_SLEEP = 20 def mock_encoder_call(utterances): # Define a mapping of utterances to return values From c6262b7a1a87de854553edee6fb951ee5ce24e2f Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 19 Sep 2024 10:24:13 +0200 Subject: [PATCH 10/41] chore: lint --- tests/unit/test_layer.py | 115 ++++++++++++--------------------------- 1 file changed, 34 insertions(+), 81 deletions(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 920796bd..72778326 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -18,6 +18,7 @@ PINECONE_SLEEP = 20 + def mock_encoder_call(utterances): # Define a mapping of utterances to return values mock_responses = { @@ -30,28 +31,30 @@ def mock_encoder_call(utterances): } return [mock_responses.get(u, [0.0, 0.0, 0.0]) for u in utterances] -TEST_ID = f"{python_version().replace('.', '')}-{datetime.now().strftime('%Y%m%d%H%M%S')}" + +TEST_ID = ( + f"{python_version().replace('.', '')}-{datetime.now().strftime('%Y%m%d%H%M%S')}" +) + def init_index( index_cls, dimensions: Optional[int] = None, namespace: Optional[str] = "", - sync: str = "local" + sync: str = "local", ): """We use this function to initialize indexes with different names to avoid issues during testing. """ if index_cls is PineconeIndex: index = index_cls( - index_name=TEST_ID, - dimensions=dimensions, - namespace=namespace, - sync=sync + index_name=TEST_ID, dimensions=dimensions, namespace=namespace, sync=sync ) else: index = index_cls() return index + def layer_json(): return """{ "encoder_type": "cohere", @@ -260,9 +263,7 @@ def test_add_route(self, routes, openai_encoder, index_cls): def test_list_route_names(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_names = route_layer.list_route_names() assert set(route_names) == { route.name for route in routes @@ -270,9 +271,7 @@ def test_list_route_names(self, openai_encoder, routes, index_cls): def test_delete_route(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) # Delete a route by name route_to_delete = routes[0].name route_layer.delete(route_to_delete) @@ -290,9 +289,7 @@ def test_delete_route(self, openai_encoder, routes, index_cls): def test_remove_route_not_found(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # Attempt to remove a route that does not exist @@ -313,9 +310,7 @@ def test_add_multiple_routes(self, openai_encoder, routes, index_cls): def test_query_and_classification(self, openai_encoder, routes, index_cls): index = init_index(index_cls, dimensions=3) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated query_result = route_layer(text="Hello").name @@ -323,9 +318,7 @@ def test_query_and_classification(self, openai_encoder, routes, index_cls): def test_query_filter(self, openai_encoder, routes, index_cls): index = init_index(index_cls, dimensions=3) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated @@ -456,9 +449,7 @@ def test_query_with_no_index(self, openai_encoder, index_cls): def test_query_with_vector(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) # allow for index to be populated vector = [0.1, 0.2, 0.3] @@ -467,17 +458,13 @@ def test_query_with_vector(self, openai_encoder, routes, index_cls): def test_query_with_no_text_or_vector(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) with pytest.raises(ValueError): route_layer() def test_semantic_classify(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) classification, score = route_layer._semantic_classify( [ {"route": "Route 1", "score": 0.9}, @@ -489,9 +476,7 @@ def test_semantic_classify(self, openai_encoder, routes, index_cls): def test_semantic_classify_multiple_routes(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) classification, score = route_layer._semantic_classify( [ {"route": "Route 1", "score": 0.9}, @@ -531,9 +516,7 @@ def test_json(self, openai_encoder, routes, index_cls): temp.close() # Close the file to ensure it can be opened again on Windows os.environ["OPENAI_API_KEY"] = "test_api_key" index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_layer.to_json(temp_path) assert os.path.exists(temp_path) route_layer_from_file = RouteLayer.from_json(temp_path) @@ -553,9 +536,7 @@ def test_yaml(self, openai_encoder, routes, index_cls): temp.close() # Close the file to ensure it can be opened again on Windows os.environ["OPENAI_API_KEY"] = "test_api_key" index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_layer.to_yaml(temp_path) assert os.path.exists(temp_path) route_layer_from_file = RouteLayer.from_yaml(temp_path) @@ -677,9 +658,7 @@ def test_from_file_with_llm(self, tmp_path, index_cls): def test_config(self, openai_encoder, routes, index_cls): os.environ["OPENAI_API_KEY"] = "test_api_key" index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) # confirm route creation functions as expected layer_config = route_layer.to_config() assert layer_config.routes == route_layer.routes @@ -694,18 +673,14 @@ def test_config(self, openai_encoder, routes, index_cls): def test_get_thresholds(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) assert route_layer.get_thresholds() == {"Route 1": 0.3, "Route 2": 0.3} def test_with_multiple_routes_passing_threshold( self, openai_encoder, routes, index_cls ): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_layer.score_threshold = 0.5 # Set the score_threshold if needed # Assuming route_layer is already set up with routes "Route 1" and "Route 2" query_results = [ @@ -723,9 +698,7 @@ def test_with_multiple_routes_passing_threshold( def test_with_no_routes_passing_threshold(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_layer.score_threshold = 0.5 # Override _pass_threshold to always return False for this test route_layer._pass_threshold = lambda scores, threshold: False @@ -741,9 +714,7 @@ def test_with_no_routes_passing_threshold(self, openai_encoder, routes, index_cl def test_with_no_query_results(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_layer.score_threshold = 0.5 query_results = [] expected = [] @@ -754,9 +725,7 @@ def test_with_no_query_results(self, openai_encoder, routes, index_cls): def test_with_unrecognized_route(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) route_layer.score_threshold = 0.5 # Test with a route name that does not exist in the route_layer's routes query_results = [{"route": "UnrecognizedRoute", "score": 0.9}] @@ -766,9 +735,7 @@ def test_with_unrecognized_route(self, openai_encoder, routes, index_cls): def test_retrieve_with_text(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) text = "Hello" results = route_layer.retrieve_multiple_routes(text=text) assert len(results) >= 1, "Expected at least one result" @@ -778,9 +745,7 @@ def test_retrieve_with_text(self, openai_encoder, routes, index_cls): def test_retrieve_with_vector(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) vector = [0.1, 0.2, 0.3] results = route_layer.retrieve_multiple_routes(vector=vector) assert len(results) >= 1, "Expected at least one result" @@ -790,26 +755,20 @@ def test_retrieve_with_vector(self, openai_encoder, routes, index_cls): def test_retrieve_without_text_or_vector(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) with pytest.raises(ValueError, match="Either text or vector must be provided"): route_layer.retrieve_multiple_routes() def test_retrieve_no_matches(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) text = "Asparagus" results = route_layer.retrieve_multiple_routes(text=text) assert len(results) == 0, f"Expected no results, but got {len(results)}" def test_retrieve_one_match(self, openai_encoder, routes_3, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes_3, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes_3, index=index) text = "Hello" if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) @@ -822,9 +781,7 @@ def test_retrieve_with_text_for_multiple_matches( self, openai_encoder, routes_2, index_cls ): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes_2, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes_2, index=index) text = "Hello" if index_cls is PineconeIndex: time.sleep(PINECONE_SLEEP) @@ -838,9 +795,7 @@ def test_set_aggregation_method_with_unsupported_value( self, openai_encoder, routes, index_cls ): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) unsupported_aggregation = "unsupported_aggregation_method" with pytest.raises( ValueError, @@ -850,9 +805,7 @@ def test_set_aggregation_method_with_unsupported_value( def test_refresh_routes_not_implemented(self, openai_encoder, routes, index_cls): index = init_index(index_cls) - route_layer = RouteLayer( - encoder=openai_encoder, routes=routes, index=index - ) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) with pytest.raises( NotImplementedError, match="This method has not yet been implemented." ): From d9d25b524ffb266de4abc1811b97f3d5f073a7db Mon Sep 17 00:00:00 2001 From: Vits Date: Thu, 19 Sep 2024 21:19:27 +0200 Subject: [PATCH 11/41] Test --- tests/unit/test_layer.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 72778326..6f29e036 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -16,7 +16,7 @@ from platform import python_version -PINECONE_SLEEP = 20 +PINECONE_SLEEP = 15 def mock_encoder_call(utterances): @@ -50,6 +50,7 @@ def init_index( index = index_cls( index_name=TEST_ID, dimensions=dimensions, namespace=namespace, sync=sync ) + time.sleep(PINECONE_SLEEP) else: index = index_cls() return index From 0196644b268e683b697edf9e2cdfbf3aa64fa5c5 Mon Sep 17 00:00:00 2001 From: Vits Date: Thu, 19 Sep 2024 22:26:29 +0200 Subject: [PATCH 12/41] Fixed broken tests --- Makefile | 2 +- tests/unit/test_layer.py | 3 +-- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/Makefile b/Makefile index 3d76b7b8..8283b96d 100644 --- a/Makefile +++ b/Makefile @@ -12,7 +12,7 @@ lint lint_diff: poetry run mypy $(PYTHON_FILES) test: - poetry run pytest -vv -n 20 --cov=semantic_router --cov-report=term-missing --cov-report=xml + poetry run pytest -vv --cov=semantic_router --cov-report=term-missing --cov-report=xml test_functional: poetry run pytest -vv -n 20 tests/functional diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 6f29e036..12773995 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -16,7 +16,7 @@ from platform import python_version -PINECONE_SLEEP = 15 +PINECONE_SLEEP = 12 def mock_encoder_call(utterances): @@ -50,7 +50,6 @@ def init_index( index = index_cls( index_name=TEST_ID, dimensions=dimensions, namespace=namespace, sync=sync ) - time.sleep(PINECONE_SLEEP) else: index = index_cls() return index From c6755842137493263fd0e17312eac45c7a131ac2 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Sun, 22 Sep 2024 12:44:05 +0200 Subject: [PATCH 13/41] chore: v0.0.66 --- docs/source/conf.py | 2 +- pyproject.toml | 13 ++----------- semantic_router/__init__.py | 2 +- 3 files changed, 4 insertions(+), 13 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 2184b826..a0d09c94 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.65" +release = "0.0.66" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index 8576a4a9..97d92edf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,17 +1,8 @@ [tool.poetry] name = "semantic-router" -version = "0.0.65" +version = "0.0.66" description = "Super fast semantic router for AI decision making" -authors = [ - "James Briggs ", - "Siraj Aizlewood ", - "Simonas Jakubonis ", - "Luca Mannini ", - "Bogdan Buduroiu ", - "Ismail Ashraq ", - "Daniel Griffin ", - "Tolga Arslan " -] +authors = ["Aurelio AI "] readme = "README.md" packages = [{include = "semantic_router"}] license = "MIT" diff --git a/semantic_router/__init__.py b/semantic_router/__init__.py index 6bf6b1c9..b0b67e19 100644 --- a/semantic_router/__init__.py +++ b/semantic_router/__init__.py @@ -4,4 +4,4 @@ __all__ = ["RouteLayer", "HybridRouteLayer", "Route", "LayerConfig"] -__version__ = "0.0.65" +__version__ = "0.0.66" From e3d7ea778a6e4121bf79b2431e043b3d73ea5c86 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Sun, 22 Sep 2024 12:46:39 +0200 Subject: [PATCH 14/41] feat: add docs link --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 3b6ed03b..76956d71 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,8 @@ Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to make those decisions — _routing_ our requests using _semantic_ meaning. +#### [Read the Docs](https://docs.aurelio.ai/semantic-router/index.html) + --- ## Quickstart From 5a8091ff19bfe743e2ff3ef9450ab9b0d5e41a15 Mon Sep 17 00:00:00 2001 From: Billy Trend Date: Mon, 23 Sep 2024 12:14:17 +0100 Subject: [PATCH 15/41] Fix types --- pyproject.toml | 2 +- semantic_router/encoders/cohere.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 97d92edf..1b963c74 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ license = "MIT" python = ">=3.9,<3.13" pydantic = "^2.5.3" openai = ">=1.10.0,<2.0.0" -cohere = ">=5.00,<6.00" +cohere = ">=5.9.4,<6.00" mistralai= {version = ">=0.0.12,<0.1.0", optional = true} numpy = "^1.25.2" colorlog = "^6.8.0" diff --git a/semantic_router/encoders/cohere.py b/semantic_router/encoders/cohere.py index 3fcac85c..01426e9f 100644 --- a/semantic_router/encoders/cohere.py +++ b/semantic_router/encoders/cohere.py @@ -2,7 +2,7 @@ from typing import List, Optional import cohere -from cohere.types.embed_response import EmbedResponse_EmbeddingsByType +from cohere.types.embed_response import EmbeddingsByTypeEmbedResponse from semantic_router.encoders import BaseEncoder from semantic_router.utils.defaults import EncoderDefault @@ -46,7 +46,7 @@ def __call__(self, docs: List[str]) -> List[List[float]]: texts=docs, input_type=self.input_type, model=self.name ) # Check for unsupported type. - if isinstance(embeds, EmbedResponse_EmbeddingsByType): + if isinstance(embeds, EmbeddingsByTypeEmbedResponse): raise NotImplementedError( "Handling of EmbedByTypeResponseEmbeddings is not implemented." ) From eb99b61cafd0da3b328e428ea6981157d2f1d31b Mon Sep 17 00:00:00 2001 From: Billy Trend Date: Mon, 23 Sep 2024 12:41:54 +0100 Subject: [PATCH 16/41] Lock --- poetry.lock | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/poetry.lock b/poetry.lock index 20e471a7..3b67732f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -580,13 +580,13 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} [[package]] name = "cohere" -version = "5.9.0" +version = "5.9.4" description = "" optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "cohere-5.9.0-py3-none-any.whl", hash = "sha256:7c70cc9e6ade3355e00aa4a77fcb5662b32261a3237e00975d92b97bb5f3c0c9"}, - {file = "cohere-5.9.0.tar.gz", hash = "sha256:74e5b6e1fed0f617c26dfb8ef1cfccf8334321a51cc886c37374047916d71568"}, + {file = "cohere-5.9.4-py3-none-any.whl", hash = "sha256:d1b31d8ba32e338b3aa91737aa98dc74de8778ed8e397ab799739b5f060f44e7"}, + {file = "cohere-5.9.4.tar.gz", hash = "sha256:ed0fa256c51423175c208650dffcb534ae112dc3ab7703de352e2adaf99dd50b"}, ] [package.dependencies] From a997b9741a3e0193d972c9abe2239faa9e5f161d Mon Sep 17 00:00:00 2001 From: Ismail Ashraq Date: Mon, 23 Sep 2024 17:04:02 +0500 Subject: [PATCH 17/41] fix: cohere type --- semantic_router/encoders/cohere.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/semantic_router/encoders/cohere.py b/semantic_router/encoders/cohere.py index 3fcac85c..01426e9f 100644 --- a/semantic_router/encoders/cohere.py +++ b/semantic_router/encoders/cohere.py @@ -2,7 +2,7 @@ from typing import List, Optional import cohere -from cohere.types.embed_response import EmbedResponse_EmbeddingsByType +from cohere.types.embed_response import EmbeddingsByTypeEmbedResponse from semantic_router.encoders import BaseEncoder from semantic_router.utils.defaults import EncoderDefault @@ -46,7 +46,7 @@ def __call__(self, docs: List[str]) -> List[List[float]]: texts=docs, input_type=self.input_type, model=self.name ) # Check for unsupported type. - if isinstance(embeds, EmbedResponse_EmbeddingsByType): + if isinstance(embeds, EmbeddingsByTypeEmbedResponse): raise NotImplementedError( "Handling of EmbedByTypeResponseEmbeddings is not implemented." ) From aa18b6d86e44598fef10de5a57fc29633e781346 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Mon, 23 Sep 2024 14:21:02 +0200 Subject: [PATCH 18/41] chore: v0.0.67 --- docs/source/conf.py | 2 +- pyproject.toml | 2 +- semantic_router/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index a0d09c94..3f4e9bbc 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.66" +release = "0.0.67" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index 1b963c74..0a273e48 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = 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-5451,4 +5450,4 @@ vision = ["pillow", "torch", "torchvision", "transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "a6b14b6676ce40514390ab5ceefc1412d4c5df66cb73011bc93a7fdfaa1996f3" +content-hash = "0b3900f4046edef6544f10713c061906d3afe3a451be8a9573e23d5679a6a6b0" From d92731e5dd4b608ce5df3aa658bde08ec188c2d8 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Mon, 23 Sep 2024 14:33:28 +0200 Subject: [PATCH 21/41] chore: v0.0.68 --- docs/source/conf.py | 2 +- pyproject.toml | 2 +- semantic_router/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 3f4e9bbc..10e49ac0 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.67" +release = "0.0.68" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index 0a273e48..25029914 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "semantic-router" -version = "0.0.67" +version = "0.0.68" description = "Super fast semantic router for AI decision making" authors = ["Aurelio AI "] readme = "README.md" diff --git a/semantic_router/__init__.py b/semantic_router/__init__.py index 0d6cabf4..5bb058c7 100644 --- a/semantic_router/__init__.py +++ b/semantic_router/__init__.py @@ -4,4 +4,4 @@ __all__ = ["RouteLayer", "HybridRouteLayer", "Route", "LayerConfig"] -__version__ = "0.0.67" +__version__ = "0.0.68" From 1f930a5f8f10e687e690490da9388d4f4c7b6c56 Mon Sep 17 00:00:00 2001 From: Siraj R Aizlewood Date: Sun, 29 Sep 2024 22:19:05 +0400 Subject: [PATCH 22/41] Update layer.py Following a request to be able to update route thresholds directly without having to fit. --- semantic_router/layer.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/semantic_router/layer.py b/semantic_router/layer.py index bed1ef28..6c9950ff 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -832,6 +832,22 @@ def _vec_evaluate(self, Xq: Union[List[float], Any], y: List[str]) -> float: def _get_route_names(self) -> List[str]: return [route.name for route in self.routes] + + def update_route_thresholds(self, threshold_dict: Dict[str, float]): + """ + Update thresholds for specified routes. + + :param threshold_dict: A dictionary mapping route names to new threshold values. + :type threshold_dict: Dict[str, float] + """ + for route_name, new_threshold in threshold_dict.items(): + route = self.get(route_name) + if route: + old_threshold = route.score_threshold + route.score_threshold = new_threshold + logger.info(f"Updated threshold for route '{route_name}' from {old_threshold} to {new_threshold}") + else: + logger.warning(f"Route '{route_name}' not found. Skipping threshold update.") def threshold_random_search( From 6cb48dd4d388d36c82e4090e6a203bbce3eeafa4 Mon Sep 17 00:00:00 2001 From: Siraj R Aizlewood Date: Sun, 29 Sep 2024 22:22:00 +0400 Subject: [PATCH 23/41] Update layer.py After a discussion with James we decided to just alter the existing update function. --- semantic_router/layer.py | 18 +----------------- 1 file changed, 1 insertion(+), 17 deletions(-) diff --git a/semantic_router/layer.py b/semantic_router/layer.py index 6c9950ff..4512207f 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -177,7 +177,7 @@ class RouteLayer: index: BaseIndex def __init__( - self, + self encoder: Optional[BaseEncoder] = None, llm: Optional[BaseLLM] = None, routes: Optional[List[Route]] = None, @@ -832,22 +832,6 @@ def _vec_evaluate(self, Xq: Union[List[float], Any], y: List[str]) -> float: def _get_route_names(self) -> List[str]: return [route.name for route in self.routes] - - def update_route_thresholds(self, threshold_dict: Dict[str, float]): - """ - Update thresholds for specified routes. - - :param threshold_dict: A dictionary mapping route names to new threshold values. - :type threshold_dict: Dict[str, float] - """ - for route_name, new_threshold in threshold_dict.items(): - route = self.get(route_name) - if route: - old_threshold = route.score_threshold - route.score_threshold = new_threshold - logger.info(f"Updated threshold for route '{route_name}' from {old_threshold} to {new_threshold}") - else: - logger.warning(f"Route '{route_name}' not found. Skipping threshold update.") def threshold_random_search( From 8b86773a7ff488f77aeaa8c87a76f95940b53132 Mon Sep 17 00:00:00 2001 From: Siraj R Aizlewood Date: Sun, 29 Sep 2024 23:37:00 +0400 Subject: [PATCH 24/41] Update layer.py --- semantic_router/layer.py | 27 ++++++++++++++++++++++++--- 1 file changed, 24 insertions(+), 3 deletions(-) diff --git a/semantic_router/layer.py b/semantic_router/layer.py index 4512207f..778af03d 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -177,7 +177,7 @@ class RouteLayer: index: BaseIndex def __init__( - self + self, encoder: Optional[BaseEncoder] = None, llm: Optional[BaseLLM] = None, routes: Optional[List[Route]] = None, @@ -435,8 +435,29 @@ def add(self, route: Route): def list_route_names(self) -> List[str]: return [route.name for route in self.routes] - def update(self, route_name: str, utterances: List[str]): - raise NotImplementedError("This method has not yet been implemented.") + def update(self, name: str, threshold: Optional[float] = None, utterances: Optional[List[str]] = None): + """Updates the route specified in name. Allows the update of + threshold and/or utterances. If no values are provided via the + threshold or utterances parameters, those fields are not updated. + If neither field is provided raises a ValueError. + + The name must exist within the local RouteLayer, if not a + KeyError will be raised. + """ + + if threshold is None and utterances is None: + raise ValueError("At least one of 'threshold' or 'utterances' must be provided.") + if utterances: + raise NotImplementedError("The update method cannot be used for updating utterances yet.") + + route = self.get(name) + if route: + if threshold: + old_threshold = route.score_threshold + route.score_threshold = threshold + logger.info(f"Updated threshold for route '{route.name}' from {old_threshold} to {threshold}") + else: + raise ValueError(f"Route '{name}' not found. Nothing updated.") def delete(self, route_name: str): """Deletes a route given a specific route name. From 0866dccd7997eff0a9d74544a4b2218694d8f904 Mon Sep 17 00:00:00 2001 From: Siraj R Aizlewood Date: Mon, 30 Sep 2024 15:12:10 +0400 Subject: [PATCH 25/41] Linting. --- semantic_router/layer.py | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/semantic_router/layer.py b/semantic_router/layer.py index 778af03d..158c12be 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -435,7 +435,12 @@ def add(self, route: Route): def list_route_names(self) -> List[str]: return [route.name for route in self.routes] - def update(self, name: str, threshold: Optional[float] = None, utterances: Optional[List[str]] = None): + def update( + self, + name: str, + threshold: Optional[float] = None, + utterances: Optional[List[str]] = None, + ): """Updates the route specified in name. Allows the update of threshold and/or utterances. If no values are provided via the threshold or utterances parameters, those fields are not updated. @@ -446,16 +451,22 @@ def update(self, name: str, threshold: Optional[float] = None, utterances: Optio """ if threshold is None and utterances is None: - raise ValueError("At least one of 'threshold' or 'utterances' must be provided.") + raise ValueError( + "At least one of 'threshold' or 'utterances' must be provided." + ) if utterances: - raise NotImplementedError("The update method cannot be used for updating utterances yet.") - + raise NotImplementedError( + "The update method cannot be used for updating utterances yet." + ) + route = self.get(name) if route: if threshold: old_threshold = route.score_threshold route.score_threshold = threshold - logger.info(f"Updated threshold for route '{route.name}' from {old_threshold} to {threshold}") + logger.info( + f"Updated threshold for route '{route.name}' from {old_threshold} to {threshold}" + ) else: raise ValueError(f"Route '{name}' not found. Nothing updated.") From 0586c670c244b064197ce5442b97db2cccd8538c Mon Sep 17 00:00:00 2001 From: Siraj R Aizlewood Date: Mon, 30 Sep 2024 15:35:24 +0400 Subject: [PATCH 26/41] More pytests. --- tests/unit/test_layer.py | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 12773995..8b985c13 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -811,6 +811,36 @@ def test_refresh_routes_not_implemented(self, openai_encoder, routes, index_cls) ): route_layer._refresh_routes() + def test_update_threshold(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) + route_name = "Route 1" + new_threshold = 0.8 + route_layer.update(name=route_name, threshold=new_threshold) + updated_route = route_layer.get(route_name) + assert updated_route.score_threshold == new_threshold, f"Expected threshold to be updated to {new_threshold}, but got {updated_route.score_threshold}" + + def test_update_non_existent_route(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) + non_existent_route = "Non-existent Route" + with pytest.raises(ValueError, match=f"Route '{non_existent_route}' not found. Nothing updated."): + route_layer.update(name=non_existent_route, threshold=0.7) + + def test_update_without_parameters(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) + with pytest.raises(ValueError, match="At least one of 'threshold' or 'utterances' must be provided."): + route_layer.update(name="Route 1") + + def test_update_utterances_not_implemented(self, openai_encoder, routes, index_cls): + index = init_index(index_cls) + route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) + with pytest.raises(NotImplementedError, match="The update method cannot be used for updating utterances yet."): + route_layer.update(name="Route 1", utterances=["New utterance"]) + + + class TestLayerFit: def test_eval(self, openai_encoder, routes, test_data): @@ -948,3 +978,4 @@ def test_semantic_classify_multiple_routes_with_different_aggregation( elif agg == "max": assert classification == "Route 3" assert score == [0.1, 1.0] + From e6f14149a2ab225fe7fd26296d9fff6cbd1e0f4f Mon Sep 17 00:00:00 2001 From: Siraj R Aizlewood Date: Mon, 30 Sep 2024 15:38:10 +0400 Subject: [PATCH 27/41] Linting. --- tests/unit/test_layer.py | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/tests/unit/test_layer.py b/tests/unit/test_layer.py index 8b985c13..3bfcd485 100644 --- a/tests/unit/test_layer.py +++ b/tests/unit/test_layer.py @@ -818,30 +818,39 @@ def test_update_threshold(self, openai_encoder, routes, index_cls): new_threshold = 0.8 route_layer.update(name=route_name, threshold=new_threshold) updated_route = route_layer.get(route_name) - assert updated_route.score_threshold == new_threshold, f"Expected threshold to be updated to {new_threshold}, but got {updated_route.score_threshold}" + assert ( + updated_route.score_threshold == new_threshold + ), f"Expected threshold to be updated to {new_threshold}, but got {updated_route.score_threshold}" def test_update_non_existent_route(self, openai_encoder, routes, index_cls): index = init_index(index_cls) route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) non_existent_route = "Non-existent Route" - with pytest.raises(ValueError, match=f"Route '{non_existent_route}' not found. Nothing updated."): + with pytest.raises( + ValueError, + match=f"Route '{non_existent_route}' not found. Nothing updated.", + ): route_layer.update(name=non_existent_route, threshold=0.7) def test_update_without_parameters(self, openai_encoder, routes, index_cls): index = init_index(index_cls) route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) - with pytest.raises(ValueError, match="At least one of 'threshold' or 'utterances' must be provided."): + with pytest.raises( + ValueError, + match="At least one of 'threshold' or 'utterances' must be provided.", + ): route_layer.update(name="Route 1") def test_update_utterances_not_implemented(self, openai_encoder, routes, index_cls): index = init_index(index_cls) route_layer = RouteLayer(encoder=openai_encoder, routes=routes, index=index) - with pytest.raises(NotImplementedError, match="The update method cannot be used for updating utterances yet."): + with pytest.raises( + NotImplementedError, + match="The update method cannot be used for updating utterances yet.", + ): route_layer.update(name="Route 1", utterances=["New utterance"]) - - class TestLayerFit: def test_eval(self, openai_encoder, routes, test_data): route_layer = RouteLayer(encoder=openai_encoder, routes=routes) @@ -978,4 +987,3 @@ def test_semantic_classify_multiple_routes_with_different_aggregation( elif agg == "max": assert classification == "Route 3" assert score == [0.1, 1.0] - From 5751ddee6f6b73db932d27940e430f6d0fcb6161 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Wed, 2 Oct 2024 23:03:57 +0200 Subject: [PATCH 28/41] fix: update to allow latest pinecone versions --- docs/source/conf.py | 2 +- poetry.lock | 1163 ++++++++++++++++++----------------- pyproject.toml | 6 +- semantic_router/__init__.py | 2 +- 4 files changed, 612 insertions(+), 561 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 10e49ac0..3488c230 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.68" 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{file = "pinecone-5.3.1-py3-none-any.whl", hash = "sha256:dd180963d29cd648f2d58becf18b21f150362aef80446dd3a7ed15cbe85bb4c7"}, + {file = "pinecone-5.3.1.tar.gz", hash = "sha256:a216630331753958f4ebcdc6e6d473402d17152f2194af3e19b3416c73b0dcc4"}, ] [package.dependencies] certifi = ">=2019.11.17" +pinecone-plugin-inference = ">=1.1.0,<2.0.0" pinecone-plugin-interface = ">=0.0.7,<0.0.8" +python-dateutil = ">=2.5.3" tqdm = ">=4.64.1" typing-extensions = ">=3.7.4" urllib3 = [ @@ -3396,6 +3384,20 @@ urllib3 = [ [package.extras] grpc = ["googleapis-common-protos (>=1.53.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=4.25,<5.0)", "protoc-gen-openapiv2 (>=0.0.1,<0.0.2)"] +[[package]] +name = "pinecone-plugin-inference" +version = "1.1.0" +description = "Embeddings plugin for Pinecone SDK" +optional = true +python-versions = "<4.0,>=3.8" +files = [ + {file = "pinecone_plugin_inference-1.1.0-py3-none-any.whl", hash = "sha256:32c61aba21c9a28fdcd0e782204c1ca641aeb3fd6e42764fbf0de8186eb657ec"}, + {file = "pinecone_plugin_inference-1.1.0.tar.gz", hash = "sha256:283e5ae4590b901bf2179beb56fc3d1b715e63582f37ec7abb0708cf70912d1f"}, +] + +[package.dependencies] +pinecone-plugin-interface = ">=0.0.7,<0.0.8" + [[package]] name = "pinecone-plugin-interface" version = "0.0.7" @@ -5501,4 +5503,4 @@ vision = ["pillow", "torch", "torchvision", "transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "ab432636136809eac18cfcefc7abfeb66351467aa395a8644427d6e4f5beea55" +content-hash = "3b6d8cef3e0d6c516a9d9704350e8ff6dac7277cabed851f8c4ccc84214df6ea" diff --git a/pyproject.toml b/pyproject.toml index 122a27c0..ab7468db 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -22,7 +22,7 @@ transformers = {version = ">=4.36.2", optional = true} tokenizers = {version = ">=0.19", optional = true} llama-cpp-python = {version = ">=0.2.28,<0.2.86", optional = true} colorama = "^0.4.6" -pinecone = {version="<5.0.0", optional = true} +pinecone = {version=">=5.0.0", optional = true} regex = ">=2023.12.25" torchvision = { version = ">=0.17.0,<0.18.0", optional = true} pillow = { version = ">=10.2.0,<11.0.0", optional = true} From c5dba674e735e28437521b8c31552b9740ee4180 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 3 Oct 2024 20:17:05 +0200 Subject: [PATCH 30/41] chore: version fix --- docs/source/conf.py | 2 +- pyproject.toml | 2 +- semantic_router/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 3488c230..8ee240a5 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.69" +release = "0.0.70" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index ab7468db..0c1fc10c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "semantic-router" -version = "0.0.69" +version = "0.0.70" description = "Super fast semantic router for AI decision making" authors = ["Aurelio AI "] readme = "README.md" diff --git a/semantic_router/__init__.py b/semantic_router/__init__.py index 31ad5d33..57c1e022 100644 --- a/semantic_router/__init__.py +++ b/semantic_router/__init__.py @@ -4,4 +4,4 @@ __all__ = ["RouteLayer", "HybridRouteLayer", "Route", "LayerConfig"] -__version__ = "0.0.69" +__version__ = "0.0.70" From ea7d3fb93dadb7994750efc44360f03a8d246690 Mon Sep 17 00:00:00 2001 From: Vittorio Date: Fri, 4 Oct 2024 13:59:09 +0200 Subject: [PATCH 31/41] Implemented is_synced for Pinecone Index and tested it --- semantic_router/index/base.py | 13 +++++ semantic_router/index/pinecone.py | 86 ++++++++++++++++++++++++++----- semantic_router/layer.py | 9 ++++ 3 files changed, 94 insertions(+), 14 deletions(-) diff --git a/semantic_router/index/base.py b/semantic_router/index/base.py index 5ddb586e..be1be557 100644 --- a/semantic_router/index/base.py +++ b/semantic_router/index/base.py @@ -110,6 +110,19 @@ def delete_index(self): """ raise NotImplementedError("This method should be implemented by subclasses.") + def is_synced( + self, + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], + local_metadata_list: List[Dict[str, Any]] + ) -> bool: + """ + Checks whether local and remote index are synchronized. + This method should be implemented by subclasses. + """ + raise NotImplementedError("This method should be implemented by subclasses.") + def _sync_index( self, local_route_names: List[str], diff --git a/semantic_router/index/pinecone.py b/semantic_router/index/pinecone.py index 08b714d2..7c304c09 100644 --- a/semantic_router/index/pinecone.py +++ b/semantic_router/index/pinecone.py @@ -215,21 +215,14 @@ async def _init_async_index(self, force_create: bool = False): logger.warning("Index could not be initialized.") self.host = index_stats["host"] if index_stats else None - def _sync_index( + def _format_routes_dict_for_sync( self, - local_route_names: List[str], - local_utterances_list: List[str], - local_function_schemas_list: List[Dict[str, Any]], + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], local_metadata_list: List[Dict[str, Any]], - dimensions: int, - ) -> Tuple[List, List, Dict]: - if self.index is None: - self.dimensions = self.dimensions or dimensions - self.index = self._init_index(force_create=True) - - remote_routes = self.get_routes() - - # Create remote dictionary for storing utterances and metadata + remote_routes: List[Tuple] + ) -> Tuple[Dict, Dict]: remote_dict: Dict[str, Dict[str, Any]] = { route: { "utterances": set(), @@ -241,7 +234,6 @@ def _sync_index( for route, utterance, function_schemas, metadata in remote_routes: remote_dict[route]["utterances"].add(utterance) - # Create local dictionary for storing utterances and metadata local_dict: Dict[str, Dict[str, Any]] = {} for route, utterance, function_schemas, metadata in zip( local_route_names, @@ -259,6 +251,72 @@ def _sync_index( local_dict[route]["function_schemas"] = function_schemas local_dict[route]["metadata"] = metadata + return local_dict, remote_dict + + def is_synced( + self, + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], + local_metadata_list: List[Dict[str, Any]] + ) -> bool: + remote_routes = self.get_routes() + + local_dict, remote_dict = self._format_routes_dict_for_sync( + local_route_names, + local_utterances_list, + local_function_schemas_list, + local_metadata_list, + remote_routes + ) + logger.info(f"LOCAL: {local_dict}") + logger.info(f"REMOTE: {remote_dict}") + + all_routes = set(remote_dict.keys()).union(local_dict.keys()) + + for route in all_routes: + local_utterances = local_dict.get(route, {}).get("utterances", set()) + remote_utterances = remote_dict.get(route, {}).get("utterances", set()) + local_function_schemas = ( + local_dict.get(route, {}).get("function_schemas", {}) or {} + ) + remote_function_schemas = ( + remote_dict.get(route, {}).get("function_schemas", {}) or {} + ) + local_metadata = local_dict.get(route, {}).get("metadata", {}) + remote_metadata = remote_dict.get(route, {}).get("metadata", {}) + + if ( + local_utterances != remote_utterances + or local_function_schemas != remote_function_schemas + or local_metadata != remote_metadata + ): + return False + + return True + + def _sync_index( + self, + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], + local_metadata_list: List[Dict[str, Any]], + dimensions: int, + ) -> Tuple[List, List, Dict]: + if self.index is None: + self.dimensions = self.dimensions or dimensions + self.index = self._init_index(force_create=True) + + remote_routes = self.get_routes() + + local_dict, remote_dict = self._format_routes_dict_for_sync( + local_route_names, + local_utterances_list, + local_function_schemas_list, + local_metadata_list, + remote_routes + ) + all_routes = set(remote_dict.keys()).union(local_dict.keys()) routes_to_add = [] diff --git a/semantic_router/layer.py b/semantic_router/layer.py index 158c12be..a597e938 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -526,6 +526,15 @@ def _add_routes(self, routes: List[Route]): logger.error(f"Failed to add routes to the index: {e}") raise Exception("Indexing error occurred") from e + def is_synced(self) -> bool: + if not self.index.sync: + raise ValueError("Index is not set to sync with remote index.") + + local_route_names, local_utterances, local_function_schemas, local_metadata = ( + self._extract_routes_details(self.routes, include_metadata=True) + ) + return self.index.is_synced(local_route_names, local_utterances, local_function_schemas, local_metadata) + def _add_and_sync_routes(self, routes: List[Route]): # create embeddings for all routes and sync at startup with remote ones based on sync setting local_route_names, local_utterances, local_function_schemas, local_metadata = ( From 01b0103d866d8a87377d286ffc526021310fa875 Mon Sep 17 00:00:00 2001 From: Vittorio Date: Fri, 4 Oct 2024 13:59:22 +0200 Subject: [PATCH 32/41] Formatting --- semantic_router/index/base.py | 10 +++++----- semantic_router/index/pinecone.py | 24 ++++++++++++------------ semantic_router/layer.py | 8 +++++--- 3 files changed, 22 insertions(+), 20 deletions(-) diff --git a/semantic_router/index/base.py b/semantic_router/index/base.py index be1be557..7add4cb4 100644 --- a/semantic_router/index/base.py +++ b/semantic_router/index/base.py @@ -112,17 +112,17 @@ def delete_index(self): def is_synced( self, - local_route_names: List[str], - local_utterances_list: List[str], - local_function_schemas_list: List[Dict[str, Any]], - local_metadata_list: List[Dict[str, Any]] + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], + local_metadata_list: List[Dict[str, Any]], ) -> bool: """ Checks whether local and remote index are synchronized. This method should be implemented by subclasses. """ raise NotImplementedError("This method should be implemented by subclasses.") - + def _sync_index( self, local_route_names: List[str], diff --git a/semantic_router/index/pinecone.py b/semantic_router/index/pinecone.py index 7c304c09..23c5a05a 100644 --- a/semantic_router/index/pinecone.py +++ b/semantic_router/index/pinecone.py @@ -217,11 +217,11 @@ async def _init_async_index(self, force_create: bool = False): def _format_routes_dict_for_sync( self, - local_route_names: List[str], - local_utterances_list: List[str], - local_function_schemas_list: List[Dict[str, Any]], + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], local_metadata_list: List[Dict[str, Any]], - remote_routes: List[Tuple] + remote_routes: List[Tuple], ) -> Tuple[Dict, Dict]: remote_dict: Dict[str, Dict[str, Any]] = { route: { @@ -252,13 +252,13 @@ def _format_routes_dict_for_sync( local_dict[route]["metadata"] = metadata return local_dict, remote_dict - + def is_synced( self, - local_route_names: List[str], - local_utterances_list: List[str], - local_function_schemas_list: List[Dict[str, Any]], - local_metadata_list: List[Dict[str, Any]] + local_route_names: List[str], + local_utterances_list: List[str], + local_function_schemas_list: List[Dict[str, Any]], + local_metadata_list: List[Dict[str, Any]], ) -> bool: remote_routes = self.get_routes() @@ -267,7 +267,7 @@ def is_synced( local_utterances_list, local_function_schemas_list, local_metadata_list, - remote_routes + remote_routes, ) logger.info(f"LOCAL: {local_dict}") logger.info(f"REMOTE: {remote_dict}") @@ -292,7 +292,7 @@ def is_synced( or local_metadata != remote_metadata ): return False - + return True def _sync_index( @@ -314,7 +314,7 @@ def _sync_index( local_utterances_list, local_function_schemas_list, local_metadata_list, - remote_routes + remote_routes, ) all_routes = set(remote_dict.keys()).union(local_dict.keys()) diff --git a/semantic_router/layer.py b/semantic_router/layer.py index a597e938..410c9d41 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -529,12 +529,14 @@ def _add_routes(self, routes: List[Route]): def is_synced(self) -> bool: if not self.index.sync: raise ValueError("Index is not set to sync with remote index.") - + local_route_names, local_utterances, local_function_schemas, local_metadata = ( self._extract_routes_details(self.routes, include_metadata=True) ) - return self.index.is_synced(local_route_names, local_utterances, local_function_schemas, local_metadata) - + return self.index.is_synced( + local_route_names, local_utterances, local_function_schemas, local_metadata + ) + def _add_and_sync_routes(self, routes: List[Route]): # create embeddings for all routes and sync at startup with remote ones based on sync setting local_route_names, local_utterances, local_function_schemas, local_metadata = ( From 23ecf40b799db7db604b619dc77b36977a1eda85 Mon Sep 17 00:00:00 2001 From: Vittorio Date: Fri, 4 Oct 2024 15:57:59 +0200 Subject: [PATCH 33/41] Added is_synced in docs --- docs/source/route_layer/sync.rst | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/docs/source/route_layer/sync.rst b/docs/source/route_layer/sync.rst index 03204917..efb1bebe 100644 --- a/docs/source/route_layer/sync.rst +++ b/docs/source/route_layer/sync.rst @@ -67,4 +67,10 @@ You can try this yourself by running the following: rl = RouteLayer(encoder=encoder, routes=routes, index=pc_index) -When initializing the `PineconeIndex` object, we can specify the `sync` parameter. \ No newline at end of file +When initializing the `PineconeIndex` object, we can specify the `sync` parameter. + +Checking for Synchronization +---------------------------- + +To verify whether the local and remote instances are synchronized, you can use the `is_synced` method. This method checks if the routes, utterances, and associated metadata in the local instance match those stored in the remote index. +Consider that if the `sync` flag is not set (e.g. for indexes different from Pinecone), it raises an error. If the index supports sync feature and everything aligns, it returns `True`, indicating that the local and remote instances are synchronized, otherwise it returns `False`. \ No newline at end of file From c05acbb3f01492848ba02cd69b20c6e05b7777cf Mon Sep 17 00:00:00 2001 From: Vits Date: Tue, 8 Oct 2024 12:32:07 +0200 Subject: [PATCH 34/41] Fix --- semantic_router/layer.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/semantic_router/layer.py b/semantic_router/layer.py index 410c9d41..659ae6e6 100644 --- a/semantic_router/layer.py +++ b/semantic_router/layer.py @@ -807,7 +807,9 @@ def fit( remote_routes = self.index.get_routes() # TODO Enhance by retrieving directly the vectors instead of embedding all utterances again - routes, utterances, metadata = map(list, zip(*remote_routes)) + routes, utterances, function_schemas, metadata = map( + list, zip(*remote_routes) + ) embeddings = self.encoder(utterances) self.index = LocalIndex() self.index.add( From 26c1dd030e741a246244494ccedaaf3aa4578ff2 Mon Sep 17 00:00:00 2001 From: Vits Date: Tue, 8 Oct 2024 14:34:44 +0200 Subject: [PATCH 35/41] chore: release v0.0.71 --- docs/source/conf.py | 2 +- pyproject.toml | 2 +- semantic_router/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 8ee240a5..23154157 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.70" +release = "0.0.71" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index 0c1fc10c..99f91f2d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "semantic-router" -version = "0.0.70" +version = "0.0.71" description = "Super fast semantic router for AI decision making" authors = ["Aurelio AI "] readme = "README.md" diff --git a/semantic_router/__init__.py b/semantic_router/__init__.py index 57c1e022..0c9bf249 100644 --- a/semantic_router/__init__.py +++ b/semantic_router/__init__.py @@ -4,4 +4,4 @@ __all__ = ["RouteLayer", "HybridRouteLayer", "Route", "LayerConfig"] -__version__ = "0.0.70" +__version__ = "0.0.71" From 098de29b231e427bbb1ede10e63edc2bd801e7f3 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 10 Oct 2024 23:00:35 +0200 Subject: [PATCH 36/41] feat: move cohere to optional dep --- poetry.lock | 27 +++++++++++++------------ pyproject.toml | 3 ++- semantic_router/encoders/cohere.py | 32 ++++++++++++++++++++++++------ semantic_router/llms/cohere.py | 20 +++++++++++++++---- 4 files changed, 58 insertions(+), 24 deletions(-) diff --git a/poetry.lock b/poetry.lock index 0c6f20e6..11dbb7ed 100644 --- a/poetry.lock +++ b/poetry.lock @@ -327,7 +327,7 @@ uvloop = ["uvloop (>=0.15.2)"] name = "boto3" version = "1.35.32" description = "The AWS SDK for Python" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "boto3-1.35.32-py3-none-any.whl", hash = "sha256:786a243f4b4827c6ae149442bf544c2ae449570cf23616a5d386f7a2633e0e08"}, @@ -346,7 +346,7 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] name = "botocore" version = "1.35.32" description = "Low-level, data-driven core of boto 3." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "botocore-1.35.32-py3-none-any.whl", hash = "sha256:2c0c2b62dd156daf904525f3f523ae22bf34ac109d727acf0bbfbca291440fc3"}, @@ -582,7 +582,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} name = "cohere" version = "5.10.0" description = "" -optional = false +optional = true python-versions = "<4.0,>=3.8" files = [ {file = "cohere-5.10.0-py3-none-any.whl", hash = "sha256:46e50e3e8514a99cf77b4c022c8077a6205fba948051c33087ddeb66ec706f0a"}, @@ -982,7 +982,7 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth name = "fastavro" version = "1.9.7" description = "Fast read/write of AVRO files" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "fastavro-1.9.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc811fb4f7b5ae95f969cda910241ceacf82e53014c7c7224df6f6e0ca97f52f"}, @@ -1056,7 +1056,7 @@ tqdm = ">=4.66,<5.0" name = "filelock" version = "3.16.1" description = "A platform independent file lock." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"}, @@ -1240,7 +1240,7 @@ files = [ name = "fsspec" version = "2024.9.0" description = "File-system specification" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, @@ -1796,7 +1796,7 @@ socks = ["socksio (==1.*)"] name = "httpx-sse" version = "0.4.0" description = "Consume Server-Sent Event (SSE) messages with HTTPX." -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"}, @@ -1807,7 +1807,7 @@ files = [ name = "huggingface-hub" version = "0.25.1" description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" -optional = false +optional = true python-versions = ">=3.8.0" files = [ {file = "huggingface_hub-0.25.1-py3-none-any.whl", hash = "sha256:a5158ded931b3188f54ea9028097312cb0acd50bffaaa2612014c3c526b44972"}, @@ -2123,7 +2123,7 @@ files = [ name = "jmespath" version = "1.0.1" description = "JSON Matching Expressions" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"}, @@ -3211,7 +3211,7 @@ files = [ name = "parameterized" version = "0.9.0" description = "Parameterized testing with any Python test framework" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "parameterized-0.9.0-py2.py3-none-any.whl", hash = "sha256:4e0758e3d41bea3bbd05ec14fc2c24736723f243b28d702081aef438c9372b1b"}, @@ -4347,7 +4347,7 @@ files = [ name = "s3transfer" version = "0.10.2" description = "An Amazon S3 Transfer Manager" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "s3transfer-0.10.2-py3-none-any.whl", hash = "sha256:eca1c20de70a39daee580aef4986996620f365c4e0fda6a86100231d62f1bf69"}, @@ -4862,7 +4862,7 @@ files = [ name = "tokenizers" version = "0.20.0" description = "" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "tokenizers-0.20.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:6cff5c5e37c41bc5faa519d6f3df0679e4b37da54ea1f42121719c5e2b4905c0"}, @@ -5488,6 +5488,7 @@ type = ["pytest-mypy"] [extras] bedrock = ["boto3", "botocore"] +cohere = ["cohere"] docs = ["sphinx", "sphinxawesome-theme"] fastembed = ["fastembed"] google = ["google-cloud-aiplatform"] @@ -5503,4 +5504,4 @@ vision = ["pillow", "torch", "torchvision", "transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "3b6d8cef3e0d6c516a9d9704350e8ff6dac7277cabed851f8c4ccc84214df6ea" +content-hash = "b0ddd77f2b9a210601eba56f69630eaa6a53cb358cae95bace2ae080d51c7812" diff --git a/pyproject.toml b/pyproject.toml index 99f91f2d..42abf2c8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ license = "MIT" python = ">=3.9,<3.13" pydantic = "^2.5.3" openai = ">=1.10.0,<2.0.0" -cohere = ">=5.9.4,<6.00" +cohere = {version = ">=5.9.4,<6.00", optional = true} mistralai= {version = ">=0.0.12,<0.1.0", optional = true} numpy = "^1.25.2" colorlog = "^6.8.0" @@ -52,6 +52,7 @@ bedrock = ["boto3", "botocore"] postgres = ["psycopg2"] fastembed = ["fastembed"] docs = ["sphinx", "sphinxawesome-theme"] +cohere = ["cohere"] [tool.poetry.group.dev.dependencies] ipykernel = "^6.25.0" diff --git a/semantic_router/encoders/cohere.py b/semantic_router/encoders/cohere.py index 01426e9f..4dc02146 100644 --- a/semantic_router/encoders/cohere.py +++ b/semantic_router/encoders/cohere.py @@ -1,15 +1,14 @@ import os -from typing import List, Optional +from typing import Any, List, Optional -import cohere -from cohere.types.embed_response import EmbeddingsByTypeEmbedResponse +from pydantic.v1 import PrivateAttr from semantic_router.encoders import BaseEncoder from semantic_router.utils.defaults import EncoderDefault class CohereEncoder(BaseEncoder): - client: Optional[cohere.Client] = None + client: Any = PrivateAttr() type: str = "cohere" input_type: Optional[str] = "search_query" @@ -28,15 +27,36 @@ def __init__( input_type=input_type, # type: ignore ) self.input_type = input_type + self.client = self._initialize_client(cohere_api_key) + + def _initialize_client(self, cohere_api_key: Optional[str] = None): + """Initializes the Cohere client. + + :param cohere_api_key: The API key for the Cohere client, can also + be set via the COHERE_API_KEY environment variable. + + :return: An instance of the Cohere client. + """ + try: + import cohere + from cohere.types.embed_response import EmbeddingsByTypeEmbedResponse + self.EmbeddingsByTypeEmbedResponse = EmbeddingsByTypeEmbedResponse + except ImportError: + raise ImportError( + "Please install Cohere to use CohereEncoder. " + "You can install it with: " + "`pip install 'semantic-router[cohere]'`" + ) cohere_api_key = cohere_api_key or os.getenv("COHERE_API_KEY") if cohere_api_key is None: raise ValueError("Cohere API key cannot be 'None'.") try: - self.client = cohere.Client(cohere_api_key) + client = cohere.Client(cohere_api_key) except Exception as e: raise ValueError( f"Cohere API client failed to initialize. Error: {e}" ) from e + return client def __call__(self, docs: List[str]) -> List[List[float]]: if self.client is None: @@ -46,7 +66,7 @@ def __call__(self, docs: List[str]) -> List[List[float]]: texts=docs, input_type=self.input_type, model=self.name ) # Check for unsupported type. - if isinstance(embeds, EmbeddingsByTypeEmbedResponse): + if isinstance(embeds, self.EmbeddingsByTypeEmbedResponse): raise NotImplementedError( "Handling of EmbedByTypeResponseEmbeddings is not implemented." ) diff --git a/semantic_router/llms/cohere.py b/semantic_router/llms/cohere.py index 37eb4338..98dc445c 100644 --- a/semantic_router/llms/cohere.py +++ b/semantic_router/llms/cohere.py @@ -1,14 +1,14 @@ import os -from typing import List, Optional +from typing import Any, List, Optional -import cohere +from pydantic.v1 import PrivateAttr from semantic_router.llms import BaseLLM from semantic_router.schema import Message class CohereLLM(BaseLLM): - client: Optional[cohere.Client] = None + client: Any = PrivateAttr() def __init__( self, @@ -18,15 +18,27 @@ def __init__( if name is None: name = os.getenv("COHERE_CHAT_MODEL_NAME", "command") super().__init__(name=name) + self.client = self._initialize_client(cohere_api_key) + + def _initialize_client(self, cohere_api_key: Optional[str] = None): + try: + import cohere + except ImportError: + raise ImportError( + "Please install Cohere to use CohereLLM. " + "You can install it with: " + "`pip install 'semantic-router[cohere]'`" + ) cohere_api_key = cohere_api_key or os.getenv("COHERE_API_KEY") if cohere_api_key is None: raise ValueError("Cohere API key cannot be 'None'.") try: - self.client = cohere.Client(cohere_api_key) + client = cohere.Client(cohere_api_key) except Exception as e: raise ValueError( f"Cohere API client failed to initialize. Error: {e}" ) from e + return client def __call__(self, messages: List[Message]) -> str: if self.client is None: From e9cd3ab81f3c81029d2968ac6be57d12a4fc9a86 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 10 Oct 2024 23:03:39 +0200 Subject: [PATCH 37/41] fix: move client to dunder --- semantic_router/encoders/cohere.py | 8 ++++---- semantic_router/llms/cohere.py | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/semantic_router/encoders/cohere.py b/semantic_router/encoders/cohere.py index 4dc02146..6be77845 100644 --- a/semantic_router/encoders/cohere.py +++ b/semantic_router/encoders/cohere.py @@ -8,7 +8,7 @@ class CohereEncoder(BaseEncoder): - client: Any = PrivateAttr() + _client: Any = PrivateAttr() type: str = "cohere" input_type: Optional[str] = "search_query" @@ -27,7 +27,7 @@ def __init__( input_type=input_type, # type: ignore ) self.input_type = input_type - self.client = self._initialize_client(cohere_api_key) + self._client = self._initialize_client(cohere_api_key) def _initialize_client(self, cohere_api_key: Optional[str] = None): """Initializes the Cohere client. @@ -59,10 +59,10 @@ def _initialize_client(self, cohere_api_key: Optional[str] = None): return client def __call__(self, docs: List[str]) -> List[List[float]]: - if self.client is None: + if self._client is None: raise ValueError("Cohere client is not initialized.") try: - embeds = self.client.embed( + embeds = self._client.embed( texts=docs, input_type=self.input_type, model=self.name ) # Check for unsupported type. diff --git a/semantic_router/llms/cohere.py b/semantic_router/llms/cohere.py index 98dc445c..05a9b1bd 100644 --- a/semantic_router/llms/cohere.py +++ b/semantic_router/llms/cohere.py @@ -8,7 +8,7 @@ class CohereLLM(BaseLLM): - client: Any = PrivateAttr() + _client: Any = PrivateAttr() def __init__( self, @@ -18,7 +18,7 @@ def __init__( if name is None: name = os.getenv("COHERE_CHAT_MODEL_NAME", "command") super().__init__(name=name) - self.client = self._initialize_client(cohere_api_key) + self._client = self._initialize_client(cohere_api_key) def _initialize_client(self, cohere_api_key: Optional[str] = None): try: @@ -41,10 +41,10 @@ def _initialize_client(self, cohere_api_key: Optional[str] = None): return client def __call__(self, messages: List[Message]) -> str: - if self.client is None: + if self._client is None: raise ValueError("Cohere client is not initialized.") try: - completion = self.client.chat( + completion = self._client.chat( model=self.name, chat_history=[m.to_cohere() for m in messages[:-1]], message=messages[-1].content, From 56a7e17cbc96f0ee93d460374f3639343c3b9cef Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 10 Oct 2024 23:06:07 +0200 Subject: [PATCH 38/41] fix: move embeds type to dunder --- semantic_router/encoders/cohere.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/semantic_router/encoders/cohere.py b/semantic_router/encoders/cohere.py index 6be77845..006b6605 100644 --- a/semantic_router/encoders/cohere.py +++ b/semantic_router/encoders/cohere.py @@ -9,6 +9,7 @@ class CohereEncoder(BaseEncoder): _client: Any = PrivateAttr() + _embed_type: Any = PrivateAttr() type: str = "cohere" input_type: Optional[str] = "search_query" @@ -40,7 +41,7 @@ def _initialize_client(self, cohere_api_key: Optional[str] = None): try: import cohere from cohere.types.embed_response import EmbeddingsByTypeEmbedResponse - self.EmbeddingsByTypeEmbedResponse = EmbeddingsByTypeEmbedResponse + self._embed_type = EmbeddingsByTypeEmbedResponse except ImportError: raise ImportError( "Please install Cohere to use CohereEncoder. " @@ -66,7 +67,7 @@ def __call__(self, docs: List[str]) -> List[List[float]]: texts=docs, input_type=self.input_type, model=self.name ) # Check for unsupported type. - if isinstance(embeds, self.EmbeddingsByTypeEmbedResponse): + if isinstance(embeds, self._embed_type): raise NotImplementedError( "Handling of EmbedByTypeResponseEmbeddings is not implemented." ) From bc7758d91ab55733ef83a74652da62cbc3802324 Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 10 Oct 2024 23:10:19 +0200 Subject: [PATCH 39/41] chore: lint --- semantic_router/encoders/cohere.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/semantic_router/encoders/cohere.py b/semantic_router/encoders/cohere.py index 006b6605..cdc114bb 100644 --- a/semantic_router/encoders/cohere.py +++ b/semantic_router/encoders/cohere.py @@ -29,7 +29,7 @@ def __init__( ) self.input_type = input_type self._client = self._initialize_client(cohere_api_key) - + def _initialize_client(self, cohere_api_key: Optional[str] = None): """Initializes the Cohere client. @@ -41,6 +41,7 @@ def _initialize_client(self, cohere_api_key: Optional[str] = None): try: import cohere from cohere.types.embed_response import EmbeddingsByTypeEmbedResponse + self._embed_type = EmbeddingsByTypeEmbedResponse except ImportError: raise ImportError( From d307fd2b296cfd22f3443421bee39b9988cec14b Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 10 Oct 2024 23:11:34 +0200 Subject: [PATCH 40/41] chore: v0.0.72 --- docs/source/conf.py | 2 +- pyproject.toml | 2 +- semantic_router/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index 23154157..6ad39408 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ project = "Semantic Router" copyright = "2024, Aurelio AI" author = "Aurelio AI" -release = "0.0.71" +release = "0.0.72" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/pyproject.toml b/pyproject.toml index 42abf2c8..edeb6578 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "semantic-router" -version = "0.0.71" +version = "0.0.72" description = "Super fast semantic router for AI decision making" authors = ["Aurelio AI "] readme = "README.md" diff --git a/semantic_router/__init__.py b/semantic_router/__init__.py index 0c9bf249..5ce4b911 100644 --- a/semantic_router/__init__.py +++ b/semantic_router/__init__.py @@ -4,4 +4,4 @@ __all__ = ["RouteLayer", "HybridRouteLayer", "Route", "LayerConfig"] -__version__ = "0.0.71" +__version__ = "0.0.72" From ad6a1e8074bd084c1a9a5cb64845f6f7f86b51cd Mon Sep 17 00:00:00 2001 From: James Briggs Date: Thu, 10 Oct 2024 23:26:09 +0200 Subject: [PATCH 41/41] fix: cohere test cases --- tests/unit/encoders/test_cohere.py | 16 ++++++++-------- tests/unit/llms/test_llm_cohere.py | 8 ++++---- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/tests/unit/encoders/test_cohere.py b/tests/unit/encoders/test_cohere.py index 0f7607af..b4d81d24 100644 --- a/tests/unit/encoders/test_cohere.py +++ b/tests/unit/encoders/test_cohere.py @@ -11,7 +11,7 @@ def cohere_encoder(mocker): class TestCohereEncoder: def test_initialization_with_api_key(self, cohere_encoder): - assert cohere_encoder.client is not None, "Client should be initialized" + assert cohere_encoder._client is not None, "Client should be initialized" assert ( cohere_encoder.name == "embed-english-v3.0" ), "Default name not set correctly" @@ -25,38 +25,38 @@ def test_initialization_without_api_key(self, mocker, monkeypatch): def test_call_method(self, cohere_encoder, mocker): mock_embed = mocker.MagicMock() mock_embed.embeddings = [[0.1, 0.2, 0.3]] - cohere_encoder.client.embed.return_value = mock_embed + cohere_encoder._client.embed.return_value = mock_embed result = cohere_encoder(["test"]) assert isinstance(result, list), "Result should be a list" assert all( isinstance(sublist, list) for sublist in result ), "Each item in result should be a list" - cohere_encoder.client.embed.assert_called_once() + cohere_encoder._client.embed.assert_called_once() def test_returns_list_of_embeddings_for_valid_input(self, cohere_encoder, mocker): mock_embed = mocker.MagicMock() mock_embed.embeddings = [[0.1, 0.2, 0.3]] - cohere_encoder.client.embed.return_value = mock_embed + cohere_encoder._client.embed.return_value = mock_embed result = cohere_encoder(["test"]) assert isinstance(result, list), "Result should be a list" assert all( isinstance(sublist, list) for sublist in result ), "Each item in result should be a list" - cohere_encoder.client.embed.assert_called_once() + cohere_encoder._client.embed.assert_called_once() def test_handles_multiple_inputs_correctly(self, cohere_encoder, mocker): mock_embed = mocker.MagicMock() mock_embed.embeddings = [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]] - cohere_encoder.client.embed.return_value = mock_embed + cohere_encoder._client.embed.return_value = mock_embed result = cohere_encoder(["test1", "test2"]) assert isinstance(result, list), "Result should be a list" assert all( isinstance(sublist, list) for sublist in result ), "Each item in result should be a list" - cohere_encoder.client.embed.assert_called_once() + cohere_encoder._client.embed.assert_called_once() def test_raises_value_error_if_api_key_is_none(self, mocker, monkeypatch): monkeypatch.delenv("COHERE_API_KEY", raising=False) @@ -79,7 +79,7 @@ def test_raises_value_error_if_cohere_client_is_not_initialized(self, mocker): def test_call_method_raises_error_on_api_failure(self, cohere_encoder, mocker): mocker.patch.object( - cohere_encoder.client, "embed", side_effect=Exception("API call failed") + cohere_encoder._client, "embed", side_effect=Exception("API call failed") ) with pytest.raises(ValueError): cohere_encoder(["test"]) diff --git a/tests/unit/llms/test_llm_cohere.py b/tests/unit/llms/test_llm_cohere.py index aaf8a7e5..dc72931c 100644 --- a/tests/unit/llms/test_llm_cohere.py +++ b/tests/unit/llms/test_llm_cohere.py @@ -12,7 +12,7 @@ def cohere_llm(mocker): class TestCohereLLM: def test_initialization_with_api_key(self, cohere_llm): - assert cohere_llm.client is not None, "Client should be initialized" + assert cohere_llm._client is not None, "Client should be initialized" assert cohere_llm.name == "command", "Default name not set correctly" def test_initialization_without_api_key(self, mocker, monkeypatch): @@ -24,12 +24,12 @@ def test_initialization_without_api_key(self, mocker, monkeypatch): def test_call_method(self, cohere_llm, mocker): mock_llm = mocker.MagicMock() mock_llm.text = "test" - cohere_llm.client.chat.return_value = mock_llm + cohere_llm._client.chat.return_value = mock_llm llm_input = [Message(role="user", content="test")] result = cohere_llm(llm_input) assert isinstance(result, str), "Result should be a str" - cohere_llm.client.chat.assert_called_once() + cohere_llm._client.chat.assert_called_once() def test_raises_value_error_if_cohere_client_fails_to_initialize(self, mocker): mocker.patch( @@ -46,7 +46,7 @@ def test_raises_value_error_if_cohere_client_is_not_initialized(self, mocker): def test_call_method_raises_error_on_api_failure(self, cohere_llm, mocker): mocker.patch.object( - cohere_llm.client, "__call__", side_effect=Exception("API call failed") + cohere_llm._client, "__call__", side_effect=Exception("API call failed") ) with pytest.raises(ValueError): cohere_llm("test")