fix(ingest): hide deprecated path_spec option from config

metadata-ingestion/src/datahub/ingestion/source/aws/path_spec.py

@@ -42,12 +42,12 @@ class Config:
 
     table_name: Optional[str] = Field(
         default=None,
-        description="Display name of the dataset.Combination of named variableds from include path and strings",
+        description="Display name of the dataset.Combination of named variables from include path and strings",
     )
 
     enable_compression: bool = Field(
         default=True,
-        description="Enable or disable processing compressed files. Currenly .gz and .bz files are supported.",
+        description="Enable or disable processing compressed files. Currently .gz and .bz files are supported.",
     )
 
     sample_files: bool = Field(

metadata-ingestion/src/datahub/ingestion/source/s3/config.py

@@ -9,6 +9,7 @@
     EnvBasedSourceConfigBase,
     PlatformSourceConfigBase,
 )
+from datahub.configuration.validate_field_rename import pydantic_renamed_field
 from datahub.ingestion.source.aws.aws_common import AwsConnectionConfig
 from datahub.ingestion.source.aws.path_spec import PathSpec
 from datahub.ingestion.source.aws.s3_util import get_bucket_name
@@ -20,18 +21,14 @@
 
 
 class DataLakeSourceConfig(PlatformSourceConfigBase, EnvBasedSourceConfigBase):
-    path_specs: Optional[List[PathSpec]] = Field(
-        description="List of PathSpec. See below the details about PathSpec"
-    )
-    path_spec: Optional[PathSpec] = Field(
-        description="Path spec will be deprecated in favour of path_specs option."
+    path_specs: List[PathSpec] = Field(
+        description="List of PathSpec. See [below](#path-spec) the details about PathSpec"
     )
     platform: str = Field(
-        default="", description="The platform that this source connects to"
-    )
-    platform_instance: Optional[str] = Field(
-        default=None,
-        description="The instance of the platform that all assets produced by this recipe belong to",
+        # The platform field already exists, but we want to override the type/default/docs.
+        default="",
+        description="The platform that this source connects to (either 's3' or 'file'). "
+        "If not specified, the platform will be inferred from the path_specs.",
     )
     aws_config: Optional[AwsConnectionConfig] = Field(
         default=None, description="AWS configuration"
@@ -64,51 +61,55 @@ class DataLakeSourceConfig(PlatformSourceConfigBase, EnvBasedSourceConfigBase):
         description="Maximum number of rows to use when inferring schemas for TSV and CSV files.",
     )
 
-    @pydantic.root_validator(pre=False)
-    def validate_platform(cls, values: Dict) -> Dict:
-        if not values.get("path_specs") and not values.get("path_spec"):
-            raise ValueError("Either path_specs or path_spec needs to be specified")
+    _rename_path_spec_to_plural = pydantic_renamed_field(
+        "path_spec", "path_specs", lambda path_spec: [path_spec]
+    )
 
-        if values.get("path_specs") and values.get("path_spec"):
+    @pydantic.validator("path_specs", always=True)
+    def check_path_specs_and_infer_platform(
+        cls, path_specs: List[PathSpec], values: Dict
+    ) -> List[PathSpec]:
+        if len(path_specs) == 0:
+            raise ValueError("path_specs must not be empty")
+
+        # Check that all path specs have the same platform.
+        guessed_platforms = set(
+            "s3" if path_spec.is_s3 else "file" for path_spec in path_specs
+        )
+        if len(guessed_platforms) > 1:
             raise ValueError(
-                "Either path_specs or path_spec needs to be specified but not both"
+                f"Cannot have multiple platforms in path_specs: {guessed_platforms}"
             )
+        guessed_platform = guessed_platforms.pop()
 
-        if values.get("path_spec"):
-            logger.warning(
-                "path_spec config property is deprecated, please use path_specs instead of it."
+        # If platform is s3, check that they're all the same bucket.
+        if guessed_platform == "s3":
+            bucket_names = set(
+                get_bucket_name(path_spec.include) for path_spec in path_specs
+            )
+            if len(bucket_names) > 1:
+                raise ValueError(
+                    f"All path_specs should reference the same s3 bucket. Got {bucket_names}"
+                )
+
+        # Ensure s3 configs aren't used for file sources.
+        if guessed_platform != "s3" and (
+            values.get("use_s3_object_tags") or values.get("use_s3_bucket_tags")
+        ):
+            raise ValueError(
+                "Cannot grab s3 object/bucket tags when platform is not s3. Remove the flag or use s3."
             )
-            values["path_specs"] = [values.get("path_spec")]
-
-        bucket_name: str = ""
-        for path_spec in values.get("path_specs", []):
-            if path_spec.is_s3:
-                platform = "s3"
-            else:
-                if values.get("use_s3_object_tags") or values.get("use_s3_bucket_tags"):
-                    raise ValueError(
-                        "cannot grab s3 tags for platform != s3. Remove the flag or use s3."
-                    )
-
-                platform = "file"
-
-            if values.get("platform", ""):
-                if platform == "s3" and values["platform"] != platform:
-                    raise ValueError("all path_spec should belong to the same platform")
-            else:
-                values["platform"] = platform
-                logger.debug(f'Setting config "platform": {values.get("platform")}')
-
-            if platform == "s3":
-                if bucket_name == "":
-                    bucket_name = get_bucket_name(path_spec.include)
-                else:
-                    if bucket_name != get_bucket_name(path_spec.include):
-                        raise ValueError(
-                            "all path_spec should reference the same s3 bucket"
-                        )
 
-        return values
+        # Infer platform if not specified.
+        if values.get("platform") and values["platform"] != guessed_platform:
+            raise ValueError(
+                f"All path_specs belong to {guessed_platform} platform, but platform is set to {values['platform']}"
+            )
+        else:
+            logger.debug(f'Setting config "platform": {guessed_platform}')
+            values["platform"] = guessed_platform
+
+        return path_specs
 
     @pydantic.root_validator()
     def ensure_profiling_pattern_is_passed_to_profiling(

metadata-ingestion/tests/integration/delta_lake/test_local_delta_lake.py

@@ -48,7 +48,7 @@ def test_delta_lake(pytestconfig, source_file, tmp_path, mock_time):
     )
 
 
-def test_data_lake_incorrect_config_raises_error(tmp_path, mock_time):
+def test_delta_lake_incorrect_config_raises_error(tmp_path, mock_time):
     config_dict = {}
     config_dict["sink"] = {
         "type": "file",