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| import orjson | |
| import logging | |
| from typing import Any, Dict, Mapping, Optional, cast, Tuple, List | |
| from typing import Sequence | |
| from uuid import UUID | |
| import httpx | |
| import urllib.parse | |
| from overrides import override | |
| from chromadb.api.models.AttachedFunction import AttachedFunction | |
| from chromadb.api.collection_configuration import ( | |
| CreateCollectionConfiguration, | |
| UpdateCollectionConfiguration, | |
| update_collection_configuration_to_json, | |
| create_collection_configuration_to_json, | |
| ) | |
| from chromadb import __version__ | |
| from chromadb.api.base_http_client import BaseHTTPClient | |
| from chromadb.types import Database, Tenant, Collection as CollectionModel | |
| from chromadb.api import ServerAPI | |
| from chromadb.execution.expression.plan import Search | |
| from chromadb.api.types import ( | |
| DeleteResult, | |
| Documents, | |
| Embeddings, | |
| IDs, | |
| Include, | |
| IndexingStatus, | |
| Schema, | |
| Metadatas, | |
| ReadLevel, | |
| URIs, | |
| Where, | |
| WhereDocument, | |
| GetResult, | |
| QueryResult, | |
| SearchResult, | |
| CollectionMetadata, | |
| validate_batch, | |
| convert_np_embeddings_to_list, | |
| IncludeMetadataDocuments, | |
| IncludeMetadataDocumentsDistances, | |
| ) | |
| from chromadb.api.types import ( | |
| IncludeMetadataDocumentsEmbeddings, | |
| optional_embeddings_to_base64_strings, | |
| serialize_metadata, | |
| deserialize_metadata, | |
| ) | |
| from chromadb.auth import UserIdentity | |
| from chromadb.auth import ( | |
| ClientAuthProvider, | |
| ) | |
| from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT, Settings, System | |
| from chromadb.telemetry.opentelemetry import ( | |
| OpenTelemetryClient, | |
| OpenTelemetryGranularity, | |
| trace_method, | |
| ) | |
| from chromadb.telemetry.product import ProductTelemetryClient | |
| logger = logging.getLogger(__name__) | |
| class FastAPI(BaseHTTPClient, ServerAPI): | |
| def __init__(self, system: System): | |
| super().__init__(system) | |
| system.settings.require("chroma_server_host") | |
| system.settings.require("chroma_server_http_port") | |
| self._opentelemetry_client = self.require(OpenTelemetryClient) | |
| self._product_telemetry_client = self.require(ProductTelemetryClient) | |
| self._settings = system.settings | |
| self._api_url = FastAPI.resolve_url( | |
| chroma_server_host=str(system.settings.chroma_server_host), | |
| chroma_server_http_port=system.settings.chroma_server_http_port, | |
| chroma_server_ssl_enabled=system.settings.chroma_server_ssl_enabled, | |
| default_api_path=system.settings.chroma_server_api_default_path, | |
| ) | |
| if self._settings.chroma_server_ssl_verify is not None: | |
| self._session = httpx.Client( | |
| timeout=None, | |
| limits=self.http_limits, | |
| verify=self._settings.chroma_server_ssl_verify, | |
| ) | |
| else: | |
| self._session = httpx.Client(timeout=None, limits=self.http_limits) | |
| self._header = system.settings.chroma_server_headers or {} | |
| self._header["Content-Type"] = "application/json" | |
| self._header["User-Agent"] = ( | |
| "Chroma Python Client v" | |
| + __version__ | |
| + " (https://github.com/chroma-core/chroma)" | |
| ) | |
| if self._header is not None: | |
| self._session.headers.update(self._header) | |
| if system.settings.chroma_client_auth_provider: | |
| self._auth_provider = self.require(ClientAuthProvider) | |
| _headers = self._auth_provider.authenticate() | |
| for header, value in _headers.items(): | |
| self._session.headers[header] = value.get_secret_value() | |
| def get_request_headers(self) -> Mapping[str, str]: | |
| return dict(self._session.headers) | |
| def get_api_url(self) -> str: | |
| return self._api_url | |
| def _make_request(self, method: str, path: str, **kwargs: Dict[str, Any]) -> Any: | |
| # If the request has json in kwargs, use orjson to serialize it, | |
| # remove it from kwargs, and add it to the content parameter | |
| # This is because httpx uses a slower json serializer | |
| if "json" in kwargs: | |
| data = orjson.dumps(kwargs.pop("json"), option=orjson.OPT_SERIALIZE_NUMPY) | |
| kwargs["content"] = data | |
| # Unlike requests, httpx does not automatically escape the path | |
| escaped_path = urllib.parse.quote(path, safe="/", encoding=None, errors=None) | |
| url = self._api_url + escaped_path | |
| response = self._session.request(method, url, **cast(Any, kwargs)) | |
| BaseHTTPClient._raise_chroma_error(response) | |
| return orjson.loads(response.text) | |
| def heartbeat(self) -> int: | |
| """Returns the current server time in nanoseconds to check if the server is alive""" | |
| resp_json = self._make_request("get", "/heartbeat") | |
| return int(resp_json["nanosecond heartbeat"]) | |
| # Migrated to rust in distributed. | |
| def create_database( | |
| self, | |
| name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| ) -> None: | |
| """Creates a database""" | |
| self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases", | |
| json={"name": name}, | |
| ) | |
| # Migrated to rust in distributed. | |
| def get_database( | |
| self, | |
| name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| ) -> Database: | |
| """Returns a database""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{name}", | |
| ) | |
| return Database( | |
| id=resp_json["id"], name=resp_json["name"], tenant=resp_json["tenant"] | |
| ) | |
| def delete_database( | |
| self, | |
| name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| ) -> None: | |
| """Deletes a database""" | |
| self._make_request( | |
| "delete", | |
| f"/tenants/{tenant}/databases/{name}", | |
| ) | |
| def list_databases( | |
| self, | |
| limit: Optional[int] = None, | |
| offset: Optional[int] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| ) -> Sequence[Database]: | |
| """Returns a list of all databases""" | |
| json_databases = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases", | |
| params=BaseHTTPClient._clean_params( | |
| { | |
| "limit": limit, | |
| "offset": offset, | |
| } | |
| ), | |
| ) | |
| databases = [ | |
| Database(id=db["id"], name=db["name"], tenant=db["tenant"]) | |
| for db in json_databases | |
| ] | |
| return databases | |
| def create_tenant(self, name: str) -> None: | |
| self._make_request("post", "/tenants", json={"name": name}) | |
| def get_tenant(self, name: str) -> Tenant: | |
| resp_json = self._make_request("get", "/tenants/" + name) | |
| return Tenant(name=resp_json["name"]) | |
| def get_user_identity(self) -> UserIdentity: | |
| return UserIdentity(**self._make_request("get", "/auth/identity")) | |
| def list_collections( | |
| self, | |
| limit: Optional[int] = None, | |
| offset: Optional[int] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> Sequence[CollectionModel]: | |
| """Returns a list of all collections""" | |
| json_collections = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections", | |
| params=BaseHTTPClient._clean_params( | |
| { | |
| "limit": limit, | |
| "offset": offset, | |
| } | |
| ), | |
| ) | |
| collection_models = [ | |
| CollectionModel.from_json(json_collection) | |
| for json_collection in json_collections | |
| ] | |
| return collection_models | |
| def count_collections( | |
| self, tenant: str = DEFAULT_TENANT, database: str = DEFAULT_DATABASE | |
| ) -> int: | |
| """Returns a count of collections""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections_count", | |
| ) | |
| return cast(int, resp_json) | |
| def create_collection( | |
| self, | |
| name: str, | |
| schema: Optional[Schema] = None, | |
| configuration: Optional[CreateCollectionConfiguration] = None, | |
| metadata: Optional[CollectionMetadata] = None, | |
| get_or_create: bool = False, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| """Creates a collection""" | |
| config_json = ( | |
| create_collection_configuration_to_json(configuration, metadata) | |
| if configuration | |
| else None | |
| ) | |
| serialized_schema = schema.serialize_to_json() if schema else None | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections", | |
| json={ | |
| "name": name, | |
| "metadata": metadata, | |
| "configuration": config_json, | |
| "schema": serialized_schema, | |
| "get_or_create": get_or_create, | |
| }, | |
| ) | |
| model = CollectionModel.from_json(resp_json) | |
| return model | |
| def get_collection( | |
| self, | |
| name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| """Returns a collection""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections/{name}", | |
| ) | |
| model = CollectionModel.from_json(resp_json) | |
| return model | |
| def get_collection_by_id( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| """Returns a collection by its ID""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections/by-id/{collection_id}", | |
| ) | |
| model = CollectionModel.from_json(resp_json) | |
| return model | |
| def get_or_create_collection( | |
| self, | |
| name: str, | |
| schema: Optional[Schema] = None, | |
| configuration: Optional[CreateCollectionConfiguration] = None, | |
| metadata: Optional[CollectionMetadata] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| return self.create_collection( | |
| name=name, | |
| metadata=metadata, | |
| configuration=configuration, | |
| schema=schema, | |
| get_or_create=True, | |
| tenant=tenant, | |
| database=database, | |
| ) | |
| def _modify( | |
| self, | |
| id: UUID, | |
| new_name: Optional[str] = None, | |
| new_metadata: Optional[CollectionMetadata] = None, | |
| new_configuration: Optional[UpdateCollectionConfiguration] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> None: | |
| """Updates a collection""" | |
| self._make_request( | |
| "put", | |
| f"/tenants/{tenant}/databases/{database}/collections/{id}", | |
| json={ | |
| "new_metadata": new_metadata, | |
| "new_name": new_name, | |
| "new_configuration": update_collection_configuration_to_json( | |
| new_configuration | |
| ) | |
| if new_configuration | |
| else None, | |
| }, | |
| ) | |
| def _fork( | |
| self, | |
| collection_id: UUID, | |
| new_name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> CollectionModel: | |
| """Forks a collection""" | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/fork", | |
| json={"new_name": new_name}, | |
| ) | |
| model = CollectionModel.from_json(resp_json) | |
| return model | |
| def _fork_count( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> int: | |
| """Gets the number of forks for a collection""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/fork_count", | |
| ) | |
| return int(resp_json["count"]) | |
| def _get_indexing_status( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> IndexingStatus: | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/indexing_status", | |
| ) | |
| return IndexingStatus( | |
| num_indexed_ops=resp_json["num_indexed_ops"], | |
| num_unindexed_ops=resp_json["num_unindexed_ops"], | |
| total_ops=resp_json["total_ops"], | |
| op_indexing_progress=resp_json["op_indexing_progress"], | |
| ) | |
| def _search( | |
| self, | |
| collection_id: UUID, | |
| searches: List[Search], | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| read_level: ReadLevel = ReadLevel.INDEX_AND_WAL, | |
| ) -> SearchResult: | |
| """Performs hybrid search on a collection""" | |
| # Convert Search objects to dictionaries | |
| payload = { | |
| "searches": [s.to_dict() for s in searches], | |
| "read_level": read_level, | |
| } | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/search", | |
| json=payload, | |
| ) | |
| # Deserialize metadatas: convert transport format to SparseVector instances | |
| metadata_batches = resp_json.get("metadatas", None) | |
| if metadata_batches is not None: | |
| # SearchResult has nested structure: List[Optional[List[Optional[Metadata]]]] | |
| resp_json["metadatas"] = [ | |
| [ | |
| deserialize_metadata(metadata) if metadata is not None else None | |
| for metadata in metadatas | |
| ] | |
| if metadatas is not None | |
| else None | |
| for metadatas in metadata_batches | |
| ] | |
| return SearchResult(resp_json) | |
| def delete_collection( | |
| self, | |
| name: str, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> None: | |
| """Deletes a collection""" | |
| self._make_request( | |
| "delete", | |
| f"/tenants/{tenant}/databases/{database}/collections/{name}", | |
| ) | |
| def _count( | |
| self, | |
| collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| read_level: ReadLevel = ReadLevel.INDEX_AND_WAL, | |
| ) -> int: | |
| """Returns the number of embeddings in the database""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/count", | |
| params={"read_level": read_level.value}, | |
| ) | |
| return cast(int, resp_json) | |
| def _peek( | |
| self, | |
| collection_id: UUID, | |
| n: int = 10, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> GetResult: | |
| return cast( | |
| GetResult, | |
| self._get( | |
| collection_id, | |
| tenant=tenant, | |
| database=database, | |
| limit=n, | |
| include=IncludeMetadataDocumentsEmbeddings, | |
| ), | |
| ) | |
| def _get( | |
| self, | |
| collection_id: UUID, | |
| ids: Optional[IDs] = None, | |
| where: Optional[Where] = None, | |
| limit: Optional[int] = None, | |
| offset: Optional[int] = None, | |
| where_document: Optional[WhereDocument] = None, | |
| include: Include = IncludeMetadataDocuments, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> GetResult: | |
| # Servers do not support receiving "data", as that is hydrated by the client as a loadable | |
| filtered_include = [i for i in include if i != "data"] | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/get", | |
| json={ | |
| "ids": ids, | |
| "where": where, | |
| "limit": limit, | |
| "offset": offset, | |
| "where_document": where_document, | |
| "include": filtered_include, | |
| }, | |
| ) | |
| # Deserialize metadatas: convert transport format to SparseVector instances | |
| metadatas = resp_json.get("metadatas", None) | |
| if metadatas is not None: | |
| metadatas = [ | |
| deserialize_metadata(metadata) if metadata is not None else None | |
| for metadata in metadatas | |
| ] | |
| return GetResult( | |
| ids=resp_json["ids"], | |
| embeddings=resp_json.get("embeddings", None), | |
| metadatas=metadatas, | |
| documents=resp_json.get("documents", None), | |
| data=None, | |
| uris=resp_json.get("uris", None), | |
| included=include, | |
| ) | |
| def _delete( | |
| self, | |
| collection_id: UUID, | |
| ids: Optional[IDs] = None, | |
| where: Optional[Where] = None, | |
| where_document: Optional[WhereDocument] = None, | |
| limit: Optional[int] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> DeleteResult: | |
| """Deletes embeddings from the database""" | |
| body: dict = { | |
| "ids": ids, | |
| "where": where, | |
| "where_document": where_document, | |
| } | |
| if limit is not None: | |
| body["limit"] = limit | |
| resp = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/delete", | |
| json=body, | |
| ) | |
| return DeleteResult(deleted=resp.get("deleted", 0) if resp else 0) | |
| def _submit_batch( | |
| self, | |
| batch: Tuple[ | |
| IDs, | |
| Optional[Embeddings], | |
| Optional[Metadatas], | |
| Optional[Documents], | |
| Optional[URIs], | |
| ], | |
| url: str, | |
| ) -> None: | |
| """ | |
| Submits a batch of embeddings to the database | |
| """ | |
| # Serialize metadatas: convert SparseVector instances to transport format | |
| serialized_metadatas = None | |
| if batch[2] is not None: | |
| serialized_metadatas = [ | |
| serialize_metadata(metadata) if metadata is not None else None | |
| for metadata in batch[2] | |
| ] | |
| data = { | |
| "ids": batch[0], | |
| "embeddings": optional_embeddings_to_base64_strings(batch[1]) | |
| if self.supports_base64_encoding() | |
| else batch[1], | |
| "metadatas": serialized_metadatas, | |
| "documents": batch[3], | |
| "uris": batch[4], | |
| } | |
| self._make_request("post", url, json=data) | |
| def _add( | |
| self, | |
| ids: IDs, | |
| collection_id: UUID, | |
| embeddings: Embeddings, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| """ | |
| Adds a batch of embeddings to the database | |
| - pass in column oriented data lists | |
| """ | |
| batch = ( | |
| ids, | |
| embeddings, | |
| metadatas, | |
| documents, | |
| uris, | |
| ) | |
| validate_batch(batch, {"max_batch_size": self.get_max_batch_size()}) | |
| self._submit_batch( | |
| batch, | |
| f"/tenants/{tenant}/databases/{database}/collections/{str(collection_id)}/add", | |
| ) | |
| return True | |
| def _update( | |
| self, | |
| collection_id: UUID, | |
| ids: IDs, | |
| embeddings: Optional[Embeddings] = None, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| """ | |
| Updates a batch of embeddings in the database | |
| - pass in column oriented data lists | |
| """ | |
| batch = ( | |
| ids, | |
| embeddings if embeddings is not None else None, | |
| metadatas, | |
| documents, | |
| uris, | |
| ) | |
| validate_batch(batch, {"max_batch_size": self.get_max_batch_size()}) | |
| self._submit_batch( | |
| batch, | |
| f"/tenants/{tenant}/databases/{database}/collections/{str(collection_id)}/update", | |
| ) | |
| return True | |
| def _upsert( | |
| self, | |
| collection_id: UUID, | |
| ids: IDs, | |
| embeddings: Embeddings, | |
| metadatas: Optional[Metadatas] = None, | |
| documents: Optional[Documents] = None, | |
| uris: Optional[URIs] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| """ | |
| Upserts a batch of embeddings in the database | |
| - pass in column oriented data lists | |
| """ | |
| batch = ( | |
| ids, | |
| embeddings, | |
| metadatas, | |
| documents, | |
| uris, | |
| ) | |
| validate_batch(batch, {"max_batch_size": self.get_max_batch_size()}) | |
| self._submit_batch( | |
| batch, | |
| f"/tenants/{tenant}/databases/{database}/collections/{str(collection_id)}/upsert", | |
| ) | |
| return True | |
| def _query( | |
| self, | |
| collection_id: UUID, | |
| query_embeddings: Embeddings, | |
| ids: Optional[IDs] = None, | |
| n_results: int = 10, | |
| where: Optional[Where] = None, | |
| where_document: Optional[WhereDocument] = None, | |
| include: Include = IncludeMetadataDocumentsDistances, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> QueryResult: | |
| # Clients do not support receiving "data", as that is hydrated by the client as a loadable | |
| filtered_include = [i for i in include if i != "data"] | |
| """Gets the nearest neighbors of a single embedding""" | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{collection_id}/query", | |
| json={ | |
| "ids": ids, | |
| "query_embeddings": convert_np_embeddings_to_list(query_embeddings) | |
| if query_embeddings is not None | |
| else None, | |
| "n_results": n_results, | |
| "where": where, | |
| "where_document": where_document, | |
| "include": filtered_include, | |
| }, | |
| ) | |
| # Deserialize metadatas: convert transport format to SparseVector instances | |
| metadata_batches = resp_json.get("metadatas", None) | |
| if metadata_batches is not None: | |
| metadata_batches = [ | |
| [ | |
| deserialize_metadata(metadata) if metadata is not None else None | |
| for metadata in metadatas | |
| ] | |
| if metadatas is not None | |
| else None | |
| for metadatas in metadata_batches | |
| ] | |
| return QueryResult( | |
| ids=resp_json["ids"], | |
| distances=resp_json.get("distances", None), | |
| embeddings=resp_json.get("embeddings", None), | |
| metadatas=metadata_batches, | |
| documents=resp_json.get("documents", None), | |
| uris=resp_json.get("uris", None), | |
| data=None, | |
| included=include, | |
| ) | |
| def reset(self) -> bool: | |
| """Resets the database""" | |
| resp_json = self._make_request("post", "/reset") | |
| return cast(bool, resp_json) | |
| def get_version(self) -> str: | |
| """Returns the version of the server""" | |
| resp_json = self._make_request("get", "/version") | |
| return cast(str, resp_json) | |
| def get_settings(self) -> Settings: | |
| """Returns the settings of the client""" | |
| return self._settings | |
| def get_pre_flight_checks(self) -> Any: | |
| if self.pre_flight_checks is None: | |
| resp_json = self._make_request("get", "/pre-flight-checks") | |
| self.pre_flight_checks = resp_json | |
| return self.pre_flight_checks | |
| def supports_base64_encoding(self) -> bool: | |
| pre_flight_checks = self.get_pre_flight_checks() | |
| b64_encoding_enabled = cast( | |
| bool, pre_flight_checks.get("supports_base64_encoding", False) | |
| ) | |
| return b64_encoding_enabled | |
| def get_max_batch_size(self) -> int: | |
| pre_flight_checks = self.get_pre_flight_checks() | |
| max_batch_size = cast(int, pre_flight_checks.get("max_batch_size", -1)) | |
| return max_batch_size | |
| def attach_function( | |
| self, | |
| function_id: str, | |
| name: str, | |
| input_collection_id: UUID, | |
| output_collection: str, | |
| params: Optional[Dict[str, Any]] = None, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> Tuple["AttachedFunction", bool]: | |
| """Attach a function to a collection.""" | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{input_collection_id}/functions/attach", | |
| json={ | |
| "name": name, | |
| "function_id": function_id, | |
| "output_collection": output_collection, | |
| "params": params, | |
| }, | |
| ) | |
| attached_function = AttachedFunction( | |
| client=self, | |
| id=UUID(resp_json["attached_function"]["id"]), | |
| name=resp_json["attached_function"]["name"], | |
| function_name=resp_json["attached_function"]["function_name"], | |
| input_collection_id=input_collection_id, | |
| output_collection=output_collection, | |
| params=params, | |
| tenant=tenant, | |
| database=database, | |
| ) | |
| created = resp_json.get( | |
| "created", True | |
| ) # Default to True for backwards compatibility | |
| return (attached_function, created) | |
| def get_attached_function( | |
| self, | |
| name: str, | |
| input_collection_id: UUID, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> "AttachedFunction": | |
| """Get an attached function by name for a specific collection.""" | |
| resp_json = self._make_request( | |
| "get", | |
| f"/tenants/{tenant}/databases/{database}/collections/{input_collection_id}/functions/{name}", | |
| ) | |
| af = resp_json["attached_function"] | |
| return AttachedFunction( | |
| client=self, | |
| id=UUID(af["id"]), | |
| name=af["name"], | |
| function_name=af["function_name"], | |
| input_collection_id=input_collection_id, | |
| output_collection=af["output_collection"], | |
| params=af.get("params"), | |
| tenant=tenant, | |
| database=database, | |
| ) | |
| def detach_function( | |
| self, | |
| name: str, | |
| input_collection_id: UUID, | |
| delete_output: bool = False, | |
| tenant: str = DEFAULT_TENANT, | |
| database: str = DEFAULT_DATABASE, | |
| ) -> bool: | |
| """Detach a function and prevent any further runs.""" | |
| resp_json = self._make_request( | |
| "post", | |
| f"/tenants/{tenant}/databases/{database}/collections/{input_collection_id}/attached_functions/{name}/detach", | |
| json={ | |
| "delete_output": delete_output, | |
| }, | |
| ) | |
| return cast(bool, resp_json["success"]) | |