From 60bac869af26e49b3b91f89bc8bd81a00250419f Mon Sep 17 00:00:00 2001 From: Michael Moen Allport Date: Fri, 5 Jul 2024 13:37:28 +0200 Subject: [PATCH] add mutable dataframe fixes (#408) * add mutable dataframe fixes * Downgrade Polars. Bump package version --- poetry.lock | 859 ++++++++++++----------- pyproject.toml | 4 +- src/dapla_pseudo/v1/mutable_dataframe.py | 23 +- 3 files changed, 453 insertions(+), 433 deletions(-) diff --git a/poetry.lock b/poetry.lock index 678ab6be..bfcda771 100644 --- a/poetry.lock +++ b/poetry.lock @@ -123,13 +123,13 @@ files = [ [[package]] name = "alembic" -version = "1.13.1" +version = "1.13.2" description = "A database migration tool for SQLAlchemy." optional = false python-versions = ">=3.8" files = [ - {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"}, - {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"}, + {file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"}, + {file = "alembic-1.13.2.tar.gz", hash = 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python-versions = ">=3.10, <3.13" -content-hash = "47e2747b52e3b5dc6b613b07ba85c4481ac51e6a50202336eb3389b43c64ad27" +content-hash = "4d3dd53060f0b460d86e2e59169482171501ef81dd5da6fe2243d6af8653ca75" diff --git a/pyproject.toml b/pyproject.toml index f0a7fc9c..46304d47 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "dapla-toolbelt-pseudo" -version = "2.1.1" +version = "2.1.2" description = "Pseudonymization extensions for Dapla" authors = ["Dapla Developers "] license = "MIT" @@ -27,7 +27,7 @@ python-ulid = ">=2.2.0" cryptography = ">41.0.0" dapla-toolbelt = ">=1.7.0" fsspec = ">=2023.5.0" -polars = ">=0.18.2" +polars = ">=0.18.2,<1.0" pygments = ">2.15.0" click = ">=8.0.1" ssb-datadoc-model = ">=5.0.0" diff --git a/src/dapla_pseudo/v1/mutable_dataframe.py b/src/dapla_pseudo/v1/mutable_dataframe.py index 1032926d..e2f7f3b1 100644 --- a/src/dapla_pseudo/v1/mutable_dataframe.py +++ b/src/dapla_pseudo/v1/mutable_dataframe.py @@ -69,6 +69,7 @@ def __init__(self, dataframe: pl.DataFrame, hierarchical: bool) -> None: self.matched_fields: dict[str, FieldMatch] = {} self.matched_fields_metrics: dict[str, int] | None = None self.hierarchical: bool = hierarchical + self.schema = dataframe.schema def match_rules( self, rules: list[PseudoRule], target_rules: list[PseudoRule] | None @@ -130,7 +131,7 @@ def to_polars(self) -> pl.DataFrame: assert isinstance(self.dataset, pl.DataFrame) return self.dataset else: - return pl.read_json(BytesIO(orjson.dumps(self.dataset))) + return pl.read_json(BytesIO(orjson.dumps(self.dataset)), schema=self.schema) def _combine_rules( @@ -152,11 +153,12 @@ def _traverse_dataframe_dict( metrics: Counter[str], prefix: str = "", ) -> Generator[FieldMatch, None, None]: + + path_head, *path_tail = curr_path for index, col in enumerate(items): if col is None or curr_path == []: continue - path_head, *path_tail = curr_path if col["name"] == "" and any( key in col["datatype"] for key in {"Struct", "List", "Array"} ): @@ -171,7 +173,6 @@ def _traverse_dataframe_dict( elif col["name"] == path_head: next_prefix = f"{prefix}/{col['name']}" if path_tail == []: # matched entire path - metrics.update({next_prefix: 1}) rule, target_rule = rules if ( @@ -182,13 +183,15 @@ def _traverse_dataframe_dict( if col is None or len(col) == 0: continue - yield FieldMatch( - path=next_prefix.lstrip("/"), - col=col, - func=rule.func, - target_func=target_rule.func if target_rule else None, - pattern=rule.pattern, - ) + if not all(v is None for v in col["values"]): + metrics.update({next_prefix: 1}) + yield FieldMatch( + path=next_prefix.lstrip("/"), + col=col, + func=rule.func, + target_func=target_rule.func if target_rule else None, + pattern=rule.pattern, + ) else: yield from _traverse_dataframe_dict( col["values"],