fix: Changes template file path to relative path

sdk/python/feast/feature_store.py

@@ -706,7 +706,7 @@ def plan(
             >>> fs = FeatureStore(repo_path="project/feature_repo")
             >>> driver = Entity(name="driver_id", description="driver id")
             >>> driver_hourly_stats = FileSource(
-            ...     path="project/feature_repo/data/driver_stats.parquet",
+            ...     path="data/driver_stats.parquet",
             ...     timestamp_field="event_timestamp",
             ...     created_timestamp_column="created",
             ... )
@@ -820,7 +820,7 @@ def apply(
             >>> fs = FeatureStore(repo_path="project/feature_repo")
             >>> driver = Entity(name="driver_id", description="driver id")
             >>> driver_hourly_stats = FileSource(
-            ...     path="project/feature_repo/data/driver_stats.parquet",
+            ...     path="data/driver_stats.parquet",
             ...     timestamp_field="event_timestamp",
             ...     created_timestamp_column="created",
             ... )

sdk/python/feast/infra/offline_stores/dask.py

@@ -57,6 +57,7 @@ def __init__(
         self,
         evaluation_function: Callable,
         full_feature_names: bool,
+        repo_path: str,
         on_demand_feature_views: Optional[List[OnDemandFeatureView]] = None,
         metadata: Optional[RetrievalMetadata] = None,
     ):
@@ -67,6 +68,7 @@ def __init__(
         self._full_feature_names = full_feature_names
         self._on_demand_feature_views = on_demand_feature_views or []
         self._metadata = metadata
+        self.repo_path = repo_path
 
     @property
     def full_feature_names(self) -> bool:
@@ -99,8 +101,13 @@ def persist(
         if not allow_overwrite and os.path.exists(storage.file_options.uri):
             raise SavedDatasetLocationAlreadyExists(location=storage.file_options.uri)
 
+        if not Path(storage.file_options.uri).is_absolute():
+            absolute_path = Path(self.repo_path) / storage.file_options.uri
+        else:
+            absolute_path = Path(storage.file_options.uri)
+
         filesystem, path = FileSource.create_filesystem_and_path(
-            storage.file_options.uri,
+            str(absolute_path),
             storage.file_options.s3_endpoint_override,
         )
 
@@ -243,7 +250,9 @@ def evaluate_historical_retrieval():
 
                 all_join_keys = list(set(all_join_keys + join_keys))
 
-                df_to_join = _read_datasource(feature_view.batch_source)
+                df_to_join = _read_datasource(
+                    feature_view.batch_source, config.repo_path
+                )
 
                 df_to_join, timestamp_field = _field_mapping(
                     df_to_join,
@@ -297,6 +306,7 @@ def evaluate_historical_retrieval():
                 min_event_timestamp=entity_df_event_timestamp_range[0],
                 max_event_timestamp=entity_df_event_timestamp_range[1],
             ),
+            repo_path=str(config.repo_path),
         )
         return job
 
@@ -316,7 +326,7 @@ def pull_latest_from_table_or_query(
 
         # Create lazy function that is only called from the RetrievalJob object
         def evaluate_offline_job():
-            source_df = _read_datasource(data_source)
+            source_df = _read_datasource(data_source, config.repo_path)
 
             source_df = _normalize_timestamp(
                 source_df, timestamp_field, created_timestamp_column
@@ -377,6 +387,7 @@ def evaluate_offline_job():
         return DaskRetrievalJob(
             evaluation_function=evaluate_offline_job,
             full_feature_names=False,
+            repo_path=str(config.repo_path),
         )
 
     @staticmethod
@@ -420,8 +431,13 @@ def write_logged_features(
             # Since this code will be mostly used from Go-created thread, it's better to avoid producing new threads
             data = pyarrow.parquet.read_table(data, use_threads=False, pre_buffer=False)
 
+        if config.repo_path is not None and not Path(destination.path).is_absolute():
+            absolute_path = config.repo_path / destination.path
+        else:
+            absolute_path = Path(destination.path)
+
         filesystem, path = FileSource.create_filesystem_and_path(
-            destination.path,
+            str(absolute_path),
             destination.s3_endpoint_override,
         )
 
@@ -456,8 +472,14 @@ def offline_write_batch(
             )
 
         file_options = feature_view.batch_source.file_options
+
+        if config.repo_path is not None and not Path(file_options.uri).is_absolute():
+            absolute_path = config.repo_path / file_options.uri
+        else:
+            absolute_path = Path(file_options.uri)
+
         filesystem, path = FileSource.create_filesystem_and_path(
-            file_options.uri, file_options.s3_endpoint_override
+            str(absolute_path), file_options.s3_endpoint_override
         )
         prev_table = pyarrow.parquet.read_table(
             path, filesystem=filesystem, memory_map=True
@@ -493,7 +515,7 @@ def _get_entity_df_event_timestamp_range(
     )
 
 
-def _read_datasource(data_source) -> dd.DataFrame:
+def _read_datasource(data_source, repo_path) -> dd.DataFrame:
     storage_options = (
         {
             "client_kwargs": {
@@ -504,8 +526,12 @@ def _read_datasource(data_source) -> dd.DataFrame:
         else None
     )
 
+    if not Path(data_source.path).is_absolute():
+        path = repo_path / data_source.path
+    else:
+        path = data_source.path
     return dd.read_parquet(
-        data_source.path,
+        path,
         storage_options=storage_options,
     )
 

sdk/python/feast/infra/offline_stores/duckdb.py

@@ -27,7 +27,7 @@
 from feast.repo_config import FeastConfigBaseModel, RepoConfig
 
 
-def _read_data_source(data_source: DataSource) -> Table:
+def _read_data_source(data_source: DataSource, repo_path: str) -> Table:
     assert isinstance(data_source, FileSource)
 
     if isinstance(data_source.file_format, ParquetFormat):
@@ -43,21 +43,32 @@ def _read_data_source(data_source: DataSource) -> Table:
 def _write_data_source(
     table: Table,
     data_source: DataSource,
+    repo_path: str,
     mode: str = "append",
     allow_overwrite: bool = False,
 ):
     assert isinstance(data_source, FileSource)
 
     file_options = data_source.file_options
 
-    if mode == "overwrite" and not allow_overwrite and os.path.exists(file_options.uri):
+    if not Path(file_options.uri).is_absolute():
+        absolute_path = Path(repo_path) / file_options.uri
+    else:
+        absolute_path = Path(file_options.uri)
+
+    if (
+        mode == "overwrite"
+        and not allow_overwrite
+        and os.path.exists(str(absolute_path))
+    ):
         raise SavedDatasetLocationAlreadyExists(location=file_options.uri)
 
     if isinstance(data_source.file_format, ParquetFormat):
         if mode == "overwrite":
             table = table.to_pyarrow()
+
             filesystem, path = FileSource.create_filesystem_and_path(
-                file_options.uri,
+                str(absolute_path),
                 file_options.s3_endpoint_override,
             )
 

sdk/python/feast/infra/offline_stores/file_source.py

@@ -1,3 +1,4 @@
+from pathlib import Path
 from typing import Callable, Dict, Iterable, List, Optional, Tuple
 
 import pyarrow
@@ -154,8 +155,16 @@ def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
     def get_table_column_names_and_types(
         self, config: RepoConfig
     ) -> Iterable[Tuple[str, str]]:
+        if (
+            config.repo_path is not None
+            and not Path(self.file_options.uri).is_absolute()
+        ):
+            absolute_path = config.repo_path / self.file_options.uri
+        else:
+            absolute_path = Path(self.file_options.uri)
+
         filesystem, path = FileSource.create_filesystem_and_path(
-            self.path, self.file_options.s3_endpoint_override
+            str(absolute_path), self.file_options.s3_endpoint_override
         )
 
         # TODO why None check necessary

sdk/python/feast/infra/offline_stores/ibis.py

@@ -46,8 +46,8 @@ def pull_latest_from_table_or_query_ibis(
     created_timestamp_column: Optional[str],
     start_date: datetime,
     end_date: datetime,
-    data_source_reader: Callable[[DataSource], Table],
-    data_source_writer: Callable[[pyarrow.Table, DataSource], None],
+    data_source_reader: Callable[[DataSource, str], Table],
+    data_source_writer: Callable[[pyarrow.Table, DataSource, str], None],
     staging_location: Optional[str] = None,
     staging_location_endpoint_override: Optional[str] = None,
 ) -> RetrievalJob:
@@ -57,7 +57,7 @@ def pull_latest_from_table_or_query_ibis(
     start_date = start_date.astimezone(tz=timezone.utc)
     end_date = end_date.astimezone(tz=timezone.utc)
 
-    table = data_source_reader(data_source)
+    table = data_source_reader(data_source, str(config.repo_path))
 
     table = table.select(*fields)
 
@@ -87,6 +87,7 @@ def pull_latest_from_table_or_query_ibis(
         data_source_writer=data_source_writer,
         staging_location=staging_location,
         staging_location_endpoint_override=staging_location_endpoint_override,
+        repo_path=str(config.repo_path),
     )
 
 
@@ -147,8 +148,8 @@ def get_historical_features_ibis(
     entity_df: Union[pd.DataFrame, str],
     registry: BaseRegistry,
     project: str,
-    data_source_reader: Callable[[DataSource], Table],
-    data_source_writer: Callable[[pyarrow.Table, DataSource], None],
+    data_source_reader: Callable[[DataSource, str], Table],
+    data_source_writer: Callable[[pyarrow.Table, DataSource, str], None],
     full_feature_names: bool = False,
     staging_location: Optional[str] = None,
     staging_location_endpoint_override: Optional[str] = None,
@@ -174,7 +175,9 @@ def get_historical_features_ibis(
     def read_fv(
         feature_view: FeatureView, feature_refs: List[str], full_feature_names: bool
     ) -> Tuple:
-        fv_table: Table = data_source_reader(feature_view.batch_source)
+        fv_table: Table = data_source_reader(
+            feature_view.batch_source, str(config.repo_path)
+        )
 
         for old_name, new_name in feature_view.batch_source.field_mapping.items():
             if old_name in fv_table.columns:
@@ -247,6 +250,7 @@ def read_fv(
         data_source_writer=data_source_writer,
         staging_location=staging_location,
         staging_location_endpoint_override=staging_location_endpoint_override,
+        repo_path=str(config.repo_path),
     )
 
 
@@ -258,16 +262,16 @@ def pull_all_from_table_or_query_ibis(
     timestamp_field: str,
     start_date: datetime,
     end_date: datetime,
-    data_source_reader: Callable[[DataSource], Table],
-    data_source_writer: Callable[[pyarrow.Table, DataSource], None],
+    data_source_reader: Callable[[DataSource, str], Table],
+    data_source_writer: Callable[[pyarrow.Table, DataSource, str], None],
     staging_location: Optional[str] = None,
     staging_location_endpoint_override: Optional[str] = None,
 ) -> RetrievalJob:
     fields = join_key_columns + feature_name_columns + [timestamp_field]
     start_date = start_date.astimezone(tz=timezone.utc)
     end_date = end_date.astimezone(tz=timezone.utc)
 
-    table = data_source_reader(data_source)
+    table = data_source_reader(data_source, str(config.repo_path))
 
     table = table.select(*fields)
 
@@ -290,6 +294,7 @@ def pull_all_from_table_or_query_ibis(
         data_source_writer=data_source_writer,
         staging_location=staging_location,
         staging_location_endpoint_override=staging_location_endpoint_override,
+        repo_path=str(config.repo_path),
     )
 
 
@@ -319,7 +324,7 @@ def offline_write_batch_ibis(
     feature_view: FeatureView,
     table: pyarrow.Table,
     progress: Optional[Callable[[int], Any]],
-    data_source_writer: Callable[[pyarrow.Table, DataSource], None],
+    data_source_writer: Callable[[pyarrow.Table, DataSource, str], None],
 ):
     pa_schema, column_names = get_pyarrow_schema_from_batch_source(
         config, feature_view.batch_source
@@ -330,7 +335,9 @@ def offline_write_batch_ibis(
             f"The schema is expected to be {pa_schema} with the columns (in this exact order) to be {column_names}."
         )
 
-    data_source_writer(ibis.memtable(table), feature_view.batch_source)
+    data_source_writer(
+        ibis.memtable(table), feature_view.batch_source, str(config.repo_path)
+    )
 
 
 def deduplicate(
@@ -469,6 +476,7 @@ def __init__(
         data_source_writer,
         staging_location,
         staging_location_endpoint_override,
+        repo_path,
     ) -> None:
         super().__init__()
         self.table = table
@@ -480,6 +488,7 @@ def __init__(
         self.data_source_writer = data_source_writer
         self.staging_location = staging_location
         self.staging_location_endpoint_override = staging_location_endpoint_override
+        self.repo_path = repo_path
 
     def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
         return self.table.execute()
@@ -502,7 +511,11 @@ def persist(
         timeout: Optional[int] = None,
     ):
         self.data_source_writer(
-            self.table, storage.to_data_source(), "overwrite", allow_overwrite
+            self.table,
+            storage.to_data_source(),
+            self.repo_path,
+            "overwrite",
+            allow_overwrite,
         )
 
     @property

sdk/python/feast/repo_config.py

@@ -193,6 +193,7 @@ class RepoConfig(FeastBaseModel):
     """ Flags (deprecated field): Feature flags for experimental features """
 
     repo_path: Optional[Path] = None
+    """When using relative path in FileSource path, this parameter is mandatory"""
 
     entity_key_serialization_version: StrictInt = 1
     """ Entity key serialization version: This version is used to control what serialization scheme is

sdk/python/feast/templates/cassandra/bootstrap.py

@@ -275,7 +275,9 @@ def bootstrap():
 
     # example_repo.py
     example_py_file = repo_path / "example_repo.py"
-    replace_str_in_file(example_py_file, "%PARQUET_PATH%", str(driver_stats_path))
+    replace_str_in_file(
+        example_py_file, "%PARQUET_PATH%", str(driver_stats_path.relative_to(repo_path))
+    )
 
     # store config yaml, interact with user and then customize file:
     settings = collect_cassandra_store_settings()

sdk/python/feast/templates/hazelcast/bootstrap.py

@@ -165,7 +165,9 @@ def bootstrap():
 
     # example_repo.py
     example_py_file = repo_path / "example_repo.py"
-    replace_str_in_file(example_py_file, "%PARQUET_PATH%", str(driver_stats_path))
+    replace_str_in_file(
+        example_py_file, "%PARQUET_PATH%", str(driver_stats_path.relative_to(repo_path))
+    )
 
     # store config yaml, interact with user and then customize file:
     settings = collect_hazelcast_online_store_settings()

sdk/python/feast/templates/hbase/bootstrap.py

@@ -23,7 +23,9 @@ def bootstrap():
     driver_df.to_parquet(path=str(driver_stats_path), allow_truncated_timestamps=True)
 
     example_py_file = repo_path / "example_repo.py"
-    replace_str_in_file(example_py_file, "%PARQUET_PATH%", str(driver_stats_path))
+    replace_str_in_file(
+        example_py_file, "%PARQUET_PATH%", str(driver_stats_path.relative_to(repo_path))
+    )
 
 
 if __name__ == "__main__":

sdk/python/feast/templates/local/bootstrap.py

@@ -25,8 +25,12 @@ def bootstrap():
 
     example_py_file = repo_path / "example_repo.py"
     replace_str_in_file(example_py_file, "%PROJECT_NAME%", str(project_name))
-    replace_str_in_file(example_py_file, "%PARQUET_PATH%", str(driver_stats_path))
-    replace_str_in_file(example_py_file, "%LOGGING_PATH%", str(data_path))
+    replace_str_in_file(
+        example_py_file, "%PARQUET_PATH%", str(driver_stats_path.relative_to(repo_path))
+    )
+    replace_str_in_file(
+        example_py_file, "%LOGGING_PATH%", str(data_path.relative_to(repo_path))
+    )
 
 
 if __name__ == "__main__":