chore: update datasets API

Signed-off-by: Donnie Adams <donnie@acorn.io>

Author: thedadams

gptscript/gptscript.py

@@ -212,35 +212,39 @@ async def delete_credential(self, context: str = "default", name: str = "") -> s
             {"context": [context], "name": name}
         )
 
-    async def list_datasets(self, workspace: str) -> List[DatasetMeta]:
-        if workspace == "":
-            workspace = os.environ["GPTSCRIPT_WORKSPACE_DIR"]
+    async def list_datasets(self, workspace_id: str) -> List[DatasetMeta]:
+        if workspace_id == "":
+            workspace_id = os.environ["GPTSCRIPT_WORKSPACE_ID"]
 
         res = await self._run_basic_command(
             "datasets",
-            {"input": "{}", "workspace": workspace, "datasetToolRepo": self.opts.DatasetToolRepo}
+            {"input": "{}", "workspaceID": workspace_id, "datasetToolRepo": self.opts.DatasetToolRepo,
+             "env": self.opts.Env}
         )
         return [DatasetMeta.model_validate(d) for d in json.loads(res)]
 
-    async def create_dataset(self, workspace: str, name: str, description: str = "") -> Dataset:
-        if workspace == "":
-            workspace = os.environ["GPTSCRIPT_WORKSPACE_DIR"]
+    async def create_dataset(self, workspace_id: str, name: str, description: str = "") -> Dataset:
+        if workspace_id == "":
+            workspace_id = os.environ["GPTSCRIPT_WORKSPACE_ID"]
 
         if name == "":
             raise ValueError("name cannot be empty")
 
         res = await self._run_basic_command(
             "datasets/create",
-            {"input": json.dumps({"datasetName": name, "datasetDescription": description}),
-             "workspace": workspace,
-             "datasetToolRepo": self.opts.DatasetToolRepo}
+            {
+                "input": json.dumps({"datasetName": name, "datasetDescription": description}),
+                "workspaceID": workspace_id,
+                "datasetToolRepo": self.opts.DatasetToolRepo,
+                "env": self.opts.Env,
+            }
         )
         return Dataset.model_validate_json(res)
 
-    async def add_dataset_element(self, workspace: str, datasetID: str, elementName: str, elementContent: str,
+    async def add_dataset_element(self, workspace_id: str, datasetID: str, elementName: str, elementContent: str,
                                   elementDescription: str = "") -> DatasetElementMeta:
-        if workspace == "":
-            workspace = os.environ["GPTSCRIPT_WORKSPACE_DIR"]
+        if workspace_id == "":
+            workspace_id = os.environ["GPTSCRIPT_WORKSPACE_ID"]
 
         if datasetID == "":
             raise ValueError("datasetID cannot be empty")
@@ -251,33 +255,41 @@ async def add_dataset_element(self, workspace: str, datasetID: str, elementName:
 
         res = await self._run_basic_command(
             "datasets/add-element",
-            {"input": json.dumps({"datasetID": datasetID,
-                                  "elementName": elementName,
-                                  "elementContent": elementContent,
-                                  "elementDescription": elementDescription}),
-             "workspace": workspace,
-             "datasetToolRepo": self.opts.DatasetToolRepo}
+            {
+                "input": json.dumps({
+                    "datasetID": datasetID,
+                    "elementName": elementName,
+                    "elementContent": elementContent,
+                    "elementDescription": elementDescription,
+                }),
+                "workspaceID": workspace_id,
+                "datasetToolRepo": self.opts.DatasetToolRepo,
+                "env": self.opts.Env
+            }
         )
         return DatasetElementMeta.model_validate_json(res)
 
-    async def list_dataset_elements(self, workspace: str, datasetID: str) -> List[DatasetElementMeta]:
-        if workspace == "":
-            workspace = os.environ["GPTSCRIPT_WORKSPACE_DIR"]
+    async def list_dataset_elements(self, workspace_id: str, datasetID: str) -> List[DatasetElementMeta]:
+        if workspace_id == "":
+            workspace_id = os.environ["GPTSCRIPT_WORKSPACE_ID"]
 
         if datasetID == "":
             raise ValueError("datasetID cannot be empty")
 
         res = await self._run_basic_command(
             "datasets/list-elements",
-            {"input": json.dumps({"datasetID": datasetID}),
-             "workspace": workspace,
-             "datasetToolRepo": self.opts.DatasetToolRepo}
+            {
+                "input": json.dumps({"datasetID": datasetID}),
+                "workspaceID": workspace_id,
+                "datasetToolRepo": self.opts.DatasetToolRepo,
+                "env": self.opts.Env
+            }
         )
         return [DatasetElementMeta.model_validate(d) for d in json.loads(res)]
 
-    async def get_dataset_element(self, workspace: str, datasetID: str, elementName: str) -> DatasetElement:
-        if workspace == "":
-            workspace = os.environ["GPTSCRIPT_WORKSPACE_DIR"]
+    async def get_dataset_element(self, workspace_id: str, datasetID: str, elementName: str) -> DatasetElement:
+        if workspace_id == "":
+            workspace_id = os.environ["GPTSCRIPT_WORKSPACE_ID"]
 
         if datasetID == "":
             raise ValueError("datasetID cannot be empty")
@@ -286,9 +298,12 @@ async def get_dataset_element(self, workspace: str, datasetID: str, elementName:
 
         res = await self._run_basic_command(
             "datasets/get-element",
-            {"input": json.dumps({"datasetID": datasetID, "element": elementName}),
-             "workspace": workspace,
-             "datasetToolRepo": self.opts.DatasetToolRepo}
+            {
+                "input": json.dumps({"datasetID": datasetID, "element": elementName}),
+                "workspaceID": workspace_id,
+                "datasetToolRepo": self.opts.DatasetToolRepo,
+                "env": self.opts.Env,
+            }
         )
         return DatasetElement.model_validate_json(res)
 

tests/test_gptscript.py

@@ -4,7 +4,6 @@
 import os
 import platform
 import subprocess
-import tempfile
 from datetime import datetime, timedelta, timezone
 from time import sleep
 
@@ -760,40 +759,42 @@ async def test_credentials(gptscript):
 
 @pytest.mark.asyncio
 async def test_datasets(gptscript):
-    with tempfile.TemporaryDirectory(prefix="py-gptscript_") as tempdir:
-        dataset_name = str(os.urandom(8).hex())
-
-        # Create dataset
-        dataset = await gptscript.create_dataset(tempdir, dataset_name, "this is a test dataset")
-        assert dataset.id != "", "Expected dataset id to be set"
-        assert dataset.name == dataset_name, "Expected dataset name to match"
-        assert dataset.description == "this is a test dataset", "Expected dataset description to match"
-        assert len(dataset.elements) == 0, "Expected dataset elements to be empty"
-
-        # Add an element
-        element_meta = await gptscript.add_dataset_element(tempdir, dataset.id, "element1", "element1 contents",
-                                                           "element1 description")
-        assert element_meta.name == "element1", "Expected element name to match"
-        assert element_meta.description == "element1 description", "Expected element description to match"
-
-        # Get the element
-        element = await gptscript.get_dataset_element(tempdir, dataset.id, "element1")
-        assert element.name == "element1", "Expected element name to match"
-        assert element.contents == "element1 contents", "Expected element contents to match"
-        assert element.description == "element1 description", "Expected element description to match"
-
-        # List elements in the dataset
-        elements = await gptscript.list_dataset_elements(tempdir, dataset.id)
-        assert len(elements) == 1, "Expected one element in the dataset"
-        assert elements[0].name == "element1", "Expected element name to match"
-        assert elements[0].description == "element1 description", "Expected element description to match"
-
-        # List datasets
-        datasets = await gptscript.list_datasets(tempdir)
-        assert len(datasets) > 0, "Expected at least one dataset"
-        assert datasets[0].id == dataset.id, "Expected dataset id to match"
-        assert datasets[0].name == dataset_name, "Expected dataset name to match"
-        assert datasets[0].description == "this is a test dataset", "Expected dataset description to match"
+    workspace_id = await gptscript.create_workspace("directory")
+    dataset_name = str(os.urandom(8).hex())
+
+    # Create dataset
+    dataset = await gptscript.create_dataset(workspace_id, dataset_name, "this is a test dataset")
+    assert dataset.id != "", "Expected dataset id to be set"
+    assert dataset.name == dataset_name, "Expected dataset name to match"
+    assert dataset.description == "this is a test dataset", "Expected dataset description to match"
+    assert len(dataset.elements) == 0, "Expected dataset elements to be empty"
+
+    # Add an element
+    element_meta = await gptscript.add_dataset_element(workspace_id, dataset.id, "element1", "element1 contents",
+                                                       "element1 description")
+    assert element_meta.name == "element1", "Expected element name to match"
+    assert element_meta.description == "element1 description", "Expected element description to match"
+
+    # Get the element
+    element = await gptscript.get_dataset_element(workspace_id, dataset.id, "element1")
+    assert element.name == "element1", "Expected element name to match"
+    assert element.contents == "element1 contents", "Expected element contents to match"
+    assert element.description == "element1 description", "Expected element description to match"
+
+    # List elements in the dataset
+    elements = await gptscript.list_dataset_elements(workspace_id, dataset.id)
+    assert len(elements) == 1, "Expected one element in the dataset"
+    assert elements[0].name == "element1", "Expected element name to match"
+    assert elements[0].description == "element1 description", "Expected element description to match"
+
+    # List datasets
+    datasets = await gptscript.list_datasets(workspace_id)
+    assert len(datasets) > 0, "Expected at least one dataset"
+    assert datasets[0].id == dataset.id, "Expected dataset id to match"
+    assert datasets[0].name == dataset_name, "Expected dataset name to match"
+    assert datasets[0].description == "this is a test dataset", "Expected dataset description to match"
+
+    await gptscript.delete_workspace(workspace_id)
 
 
 @pytest.mark.asyncio