refactor to just return file path

fix linting failures

Author: joroscoSF

README.md

@@ -135,7 +135,7 @@ Your Python dependencies can be packaged as .py files, .zip archives (containing
 Your entry point script will define logic using the `Client` object which wraps data access layers.
 
 You should only need the following methods:
-* `read_file(file_name)` - Returns a file handle of the provided file_name
+* `find_file_path(file_name)` - Returns a file path
 * `read_dlo(name)` – Read from a Data Lake Object by name
 * `read_dmo(name)` – Read from a Data Model Object by name
 * `write_to_dlo(name, spark_dataframe, write_mode)` – Write to a Data Model Object by name with a Spark dataframe

src/datacustomcode/client.py

@@ -24,11 +24,11 @@
 from pyspark.sql import SparkSession
 
 from datacustomcode.config import SparkConfig, config
-from datacustomcode.file.reader.default import DefaultFileReader
+from datacustomcode.file.path.default import DefaultFindFilePath
 from datacustomcode.io.reader.base import BaseDataCloudReader
 
 if TYPE_CHECKING:
-    import io
+    from pathlib import Path
 
     from pyspark.sql import DataFrame as PySparkDataFrame
 
@@ -103,19 +103,21 @@ class Client:
     writing, we print to the console instead of writing to Data Cloud.
 
     Args:
+        finder: Find a file path
         reader: A custom reader to use for reading Data Cloud objects.
         writer: A custom writer to use for writing Data Cloud objects.
 
     Example:
     >>> client = Client()
+    >>> file_path = client.find_file_path("data.csv")
     >>> dlo = client.read_dlo("my_dlo")
     >>> client.write_to_dmo("my_dmo", dlo)
     """
 
     _instance: ClassVar[Optional[Client]] = None
     _reader: BaseDataCloudReader
     _writer: BaseDataCloudWriter
-    _file: DefaultFileReader
+    _file: DefaultFindFilePath
     _data_layer_history: dict[DataCloudObjectType, set[str]]
 
     def __new__(
@@ -158,7 +160,7 @@ def __new__(
                 writer_init = writer
             cls._instance._reader = reader_init
             cls._instance._writer = writer_init
-            cls._instance._file = DefaultFileReader()
+            cls._instance._file = DefaultFindFilePath()
             cls._instance._data_layer_history = {
                 DataCloudObjectType.DLO: set(),
                 DataCloudObjectType.DMO: set(),
@@ -217,10 +219,10 @@ def write_to_dmo(
         self._validate_data_layer_history_does_not_contain(DataCloudObjectType.DLO)
         return self._writer.write_to_dmo(name, dataframe, write_mode, **kwargs)
 
-    def read_file(self, file_name: str) -> io.TextIOWrapper:
+    def find_file_path(self, file_name: str) -> Path:
         """Read a file from the local file system."""
 
-        return self._file.read_file(file_name)
+        return self._file.find_file_path(file_name)
 
     def _validate_data_layer_history_does_not_contain(
         self, data_cloud_object_type: DataCloudObjectType