Merge pull request #686 from hkad98/remove-deprecated

feat: remove deprecated occurrence of `insight`

Author: hkad98

CONTRIBUTING.md

@@ -178,7 +178,7 @@ But there is one disadvantage. One needs GD.CN instance with the original setup
 `docker-compose.yaml` in root of the repository is here to help. It starts:
 - GD.CN AIO in selected version
 - postgres with gooddata-fdw extension
-- service which setups GD.CN AIO demo project including PDM, LDM, metrics and insights
+- service which setups GD.CN AIO demo project including PDM, LDM, metrics and visualizations
 
 When a vcrpy supported test needs to be updated:
 - start GD.CN using above `docker-compose.yaml`

README.md

@@ -33,7 +33,7 @@ Check out the GoodData Pandas [documentation](https://gooddata-pandas.readthedoc
 > GoodData Foreign Data Wrapper is currently deprecated.
 
 The [gooddata-fdw](./gooddata-fdw) package provides a way
-to map GoodData Cloud semantic layer and/or insights stored in your GoodData Cloud
+to map GoodData Cloud semantic layer and/or visualizations stored in your GoodData Cloud
 into PostgreSQL as foreign tables that you can then query using SQL.
 
 Check out the GoodData Foreign Data Wrapper [documentation](https://gooddata-fdw.readthedocs.io/en/latest/) to learn more and get started.

gooddata-dbt/gooddata_dbt/gooddata/api_wrapper.py

@@ -37,7 +37,7 @@ def __init__(self, sdk: GoodDataSdk, logger: logging.Logger, dry_run: bool = Fal
 
     def get_visualizations(self, workspace_id: str) -> List[Visualization]:
         if self.dry_run:
-            self.logger.info("Dry run - skipping insights listing")
+            self.logger.info("Dry run - skipping visualizations listing")
             return []
         else:
             return self.sdk.visualizations.get_visualizations(workspace_id)

gooddata-pandas/docs/examples.rst

@@ -71,9 +71,9 @@ Data Frames
         )
     )
 
-    # create data frame based on the contents of the insight. if the insight contains labels and
+    # create data frame based on the contents of the visualization. if the visualization contains labels and
     #  measures, the data frame will contain index or hierarchical index.
-    insight_df = frames.for_insight('insight_id')
+    visualization_df = frames.for_visualization('visualization_id')
 
     # create data frame based on the content of the items dict. if the dict contains both labels
     # and measures, the frame will contain index or hierarchical index.

gooddata-pandas/gooddata_pandas/dataframe.py

@@ -2,7 +2,6 @@
 from __future__ import annotations
 
 from typing import Optional, Tuple, Union
-from warnings import warn
 
 import pandas
 from gooddata_api_client import models
@@ -184,15 +183,6 @@ def for_visualization(self, visualization_id: str, auto_index: bool = True) -> p
 
         return self.for_items(columns, filter_by=filter_by, auto_index=auto_index)
 
-    def for_insight(self, insight_id: str, auto_index: bool = True) -> pandas.DataFrame:
-        warn(
-            "This method is deprecated and it will be removed in v1.20.0 release. "
-            "Please use 'for_visualization' method instead.",
-            DeprecationWarning,
-            stacklevel=2,
-        )
-        return self.for_visualization(insight_id, auto_index)
-
     def result_cache_metadata_for_exec_result_id(self, result_id: str) -> ResultCacheMetadata:
         """
         Retrieves result cache metadata for given :result_id:

gooddata-sdk/README.md

@@ -9,7 +9,7 @@ At the moment the SDK provides services to inspect and interact with the Semanti
 * Catalog User Service
 * Catalog Permission Service
 * Catalog Organization Service
-* Insights Service
+* Visualizations Service
 * Compute Service
 * Table Service
 
@@ -28,7 +28,7 @@ Run the following command to install the `gooddata-sdk` package on your system:
 
 ## Example
 
-Compute an insight:
+Compute an visualization:
 ```python
 import gooddata_sdk
 
@@ -39,11 +39,11 @@ token = "some_user_token"
 sdk = gooddata_sdk.GoodDataSdk.create(host, token)
 
 workspace_id = "demo"
-insight_id = "customers_trend"
-# reads insight from workspace
-insight = sdk.visualizations.get_visualization(workspace_id, insight_id)
-# triggers computation for the insight. the result will be returned in a tabular form
-table = sdk.tables.for_visualization(workspace_id, insight)
+visualization_id = "customers_trend"
+# reads visualization from workspace
+visualization = sdk.visualizations.get_visualization(workspace_id, visualization_id)
+# triggers computation for the visualization. the result will be returned in a tabular form
+table = sdk.tables.for_visualization(workspace_id, visualization)
 
 # and this is how you can read data row-by-row and do something with it
 for row in table.read_all():

gooddata-sdk/gooddata_sdk/__init__.py

@@ -230,11 +230,6 @@
 from gooddata_sdk.table import ExecutionTable, TableService
 from gooddata_sdk.utils import SideLoads
 from gooddata_sdk.visualization import (
-    Insight,
-    InsightAttribute,
-    InsightBucket,
-    InsightMetric,
-    InsightService,
     Visualization,
     VisualizationAttribute,
     VisualizationBucket,

gooddata-sdk/gooddata_sdk/catalog/export/service.py

@@ -2,7 +2,6 @@
 import time
 from pathlib import Path
 from typing import Callable, Optional, Tuple, Union
-from warnings import warn
 
 from gooddata_api_client.exceptions import NotFoundException
 from gooddata_api_client.model.pdf_export_request import PdfExportRequest
@@ -284,15 +283,6 @@ def _get_visualization_exec_table(self, workspace_id: str, visualization_id: str
                 f"or visualization visualization_id='{visualization_id}' does not exist."
             )
 
-    def _get_insight_exec_table(self, workspace_id: str, insight_id: str) -> Tuple[ExecutionTable, str]:
-        warn(
-            "This method is deprecated and it will be removed in v1.20.0 release. "
-            "Please use '_get_visualization_exec_table' method instead.",
-            DeprecationWarning,
-            stacklevel=2,
-        )
-        return self._get_visualization_exec_table(workspace_id, insight_id)
-
     def export_tabular_by_visualization_id(
         self,
         workspace_id: str,
@@ -341,33 +331,3 @@ def export_tabular_by_visualization_id(
             retry=retry,
             max_retry=max_retry,
         )
-
-    def export_tabular_by_insight_id(
-        self,
-        workspace_id: str,
-        insight_id: str,
-        file_format: str,
-        file_name: Optional[str] = None,
-        settings: Optional[ExportSettings] = None,
-        store_path: Union[str, Path] = Path.cwd(),
-        timeout: float = 60.0,
-        retry: float = 0.2,
-        max_retry: float = 5.0,
-    ) -> None:
-        warn(
-            "This method is deprecated and it will be removed in v1.20.0 release. "
-            "Please use 'export_tabular_by_visualization_id' method instead.",
-            DeprecationWarning,
-            stacklevel=2,
-        )
-        self.export_tabular_by_visualization_id(
-            workspace_id,
-            insight_id,
-            file_format,
-            file_name,
-            settings,
-            store_path,
-            timeout,
-            retry,
-            max_retry,
-        )

gooddata-sdk/gooddata_sdk/sdk.py

@@ -3,7 +3,6 @@
 
 from pathlib import Path
 from typing import Optional
-from warnings import warn
 
 from gooddata_sdk.catalog.data_source.service import CatalogDataSourceService
 from gooddata_sdk.catalog.export.service import ExportService
@@ -17,7 +16,7 @@
 from gooddata_sdk.support import SupportService
 from gooddata_sdk.table import TableService
 from gooddata_sdk.utils import PROFILES_FILE_PATH, profile_content
-from gooddata_sdk.visualization import InsightService, VisualizationService
+from gooddata_sdk.visualization import VisualizationService
 
 
 class GoodDataSdk:
@@ -74,7 +73,6 @@ def __init__(self, client: GoodDataApiClient) -> None:
         self._catalog_organization = CatalogOrganizationService(self._client)
         self._catalog_user = CatalogUserService(self._client)
         self._compute = ComputeService(self._client)
-        self._insights = InsightService(self._client)
         self._visualizations = VisualizationService(self._client)
         self._tables = TableService(self._client)
         self._support = SupportService(self._client)
@@ -101,16 +99,6 @@ def catalog_organization(self) -> CatalogOrganizationService:
     def compute(self) -> ComputeService:
         return self._compute
 
-    @property
-    def insights(self) -> InsightService:
-        warn(
-            "This property is deprecated and it will be removed in v1.20.0 release. "
-            "Please use 'visualizations' property instead.",
-            DeprecationWarning,
-            stacklevel=2,
-        )
-        return self._insights
-
     @property
     def visualizations(self) -> VisualizationService:
         return self._visualizations

gooddata-sdk/gooddata_sdk/table.py

@@ -4,7 +4,6 @@
 import logging
 from operator import attrgetter
 from typing import Any, Callable, Dict, Generator, List, Optional, Union
-from warnings import warn
 
 from attrs import define, field, frozen
 from attrs.setters import frozen as frozen_attr
@@ -25,7 +24,6 @@
 from gooddata_sdk.visualization import (
     AttributeSortType,
     BucketType,
-    Insight,
     LocatorItemType,
     SortDirection,
     SortType,
@@ -785,15 +783,6 @@ def for_visualization(self, workspace_id: str, visualization: Visualization) ->
         response = self._compute.for_exec_def(workspace_id=workspace_id, exec_def=exec_def)
         return _as_table(response)
 
-    def for_insight(self, workspace_id: str, insight: Insight) -> ExecutionTable:
-        warn(
-            "This method is deprecated and it will be removed in v1.20.0 release. "
-            "Please use 'for_visualization' method instead.",
-            DeprecationWarning,
-            stacklevel=2,
-        )
-        return self.for_visualization(workspace_id=workspace_id, visualization=insight)
-
     def for_items(
         self, workspace_id: str, items: list[Union[Attribute, Metric]], filters: Optional[list[Filter]] = None
     ) -> ExecutionTable: