From 731c90d3e8aa0ec8ce6e45446f2689335b2184b3 Mon Sep 17 00:00:00 2001 From: David Maxson Date: Fri, 24 Jan 2025 15:05:51 -0800 Subject: [PATCH] Finished adding first monkeypatch and singleton support to install that monkeypatch. Got first real input+output example working with purely transpiled code. Other minor bumps. --- .pre-commit-config.yaml | 6 +- pyproject.toml | 4 +- .../spl_transpiler/runtime/commands/rename.py | 10 + .../spl_transpiler/runtime/commands/spath.py | 10 + .../spl_transpiler/runtime/commands/stats.py | 3 +- .../runtime/monkeypatches/__init__.py | 19 + src/commands/cmd_dedup/spl.rs | 2 +- src/commands/cmd_lookup/pyspark.rs | 4 +- src/commands/cmd_lookup/spl.rs | 4 +- src/commands/cmd_search/spl.rs | 2 +- src/commands/cmd_stats/pyspark.rs | 71 +- src/format_python.rs | 4 +- src/pyspark/ast.rs | 103 +- src/pyspark/base.rs | 5 + src/pyspark/mod.rs | 58 +- src/pyspark/singletons.rs | 84 + src/pyspark/transpiler/utils.rs | 38 +- src/spl/operators.rs | 2 +- src/spl/parser.rs | 6 +- tests/conftest.py | 27 + tests/runtime/conftest.py | 6 +- tests/runtime/test_attack_data.py | 159 ++ tests/runtime/utils.py | 10 +- tests/sample_data/attack_data/.gitignore | 1 + ...owdstrike_high_identity_risk_severity.yaml | 5 + .../inputs/crowdstrike_identities.jsonl | 8 + ...wdstrike_high_identity_risk_severity.jsonl | 16 + tests/test_sample_files_parse.py | 18 +- uv.lock | 1449 ++++++++++++++++- 29 files changed, 2054 insertions(+), 80 deletions(-) create mode 100644 python/spl_transpiler/runtime/commands/rename.py create mode 100644 python/spl_transpiler/runtime/commands/spath.py create mode 100644 python/spl_transpiler/runtime/monkeypatches/__init__.py create mode 100644 src/pyspark/singletons.rs create mode 100644 tests/conftest.py create mode 100644 tests/runtime/test_attack_data.py create mode 100644 tests/sample_data/attack_data/.gitignore create mode 100644 tests/sample_data/attack_data/crowdstrike_high_identity_risk_severity.yaml create mode 100644 tests/sample_data/attack_data/inputs/crowdstrike_identities.jsonl create mode 100644 tests/sample_data/attack_data/outputs/crowdstrike_high_identity_risk_severity.jsonl diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index cf358ed..35dbfc9 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -10,7 +10,7 @@ repos: args: [--fix=lf] - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. - rev: v0.9.1 + rev: v0.9.3 hooks: # Run the linter. - id: ruff @@ -21,6 +21,6 @@ repos: rev: v1.0 hooks: - id: cargo-check -# - id: clippy -# args: [ --fix, --allow-dirty, --allow-staged, --no-deps ] + - id: clippy + args: [ --fix, --allow-dirty, --allow-staged, --no-deps ] - id: fmt diff --git a/pyproject.toml b/pyproject.toml index 4f9101c..56cdbac 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,11 +48,13 @@ addopts = "--ignore=tests/test_sample_files_parse.py --ignore=tests/sample_data" dev-dependencies = [ "maturin", "pip", - "pytest", "pytest-dependency", "tabulate", "pyparsing", "pyyaml", "ruff-api", + "jupyterlab", + "ipywidgets", + "pandas[pyarrow]>=2.2.3", ] diff --git a/python/spl_transpiler/runtime/commands/rename.py b/python/spl_transpiler/runtime/commands/rename.py new file mode 100644 index 0000000..ac0d4dc --- /dev/null +++ b/python/spl_transpiler/runtime/commands/rename.py @@ -0,0 +1,10 @@ +from pyspark.sql import DataFrame + +from spl_transpiler.runtime.base import enforce_types, Expr + + +@enforce_types +def rename(df: DataFrame, **renames: Expr) -> DataFrame: + for new_name, old_expr in renames.items(): + df = df.withColumnRenamed(old_expr.to_pyspark_expr(), new_name) + return df diff --git a/python/spl_transpiler/runtime/commands/spath.py b/python/spl_transpiler/runtime/commands/spath.py new file mode 100644 index 0000000..af5fb27 --- /dev/null +++ b/python/spl_transpiler/runtime/commands/spath.py @@ -0,0 +1,10 @@ +from pyspark.sql import DataFrame + +from spl_transpiler.runtime.base import enforce_types, Expr + + +@enforce_types +def spath( + df: DataFrame, path: str, *, input_: Expr = "raw", output: Expr | None = None +) -> DataFrame: + pass diff --git a/python/spl_transpiler/runtime/commands/stats.py b/python/spl_transpiler/runtime/commands/stats.py index 5097f1e..27d3d7d 100644 --- a/python/spl_transpiler/runtime/commands/stats.py +++ b/python/spl_transpiler/runtime/commands/stats.py @@ -2,6 +2,7 @@ from spl_transpiler.runtime.base import enforce_types, Expr from spl_transpiler.runtime.functions.stats import StatsFunction +from spl_transpiler.runtime.monkeypatches import groupByMaybeExploded @enforce_types @@ -16,7 +17,7 @@ def stats( df, agg_expr = expr.to_pyspark_expr(df) aggs.append(agg_expr.alias(label)) - df = df.groupBy(*(v.to_pyspark_expr() for v in by)) + df = groupByMaybeExploded(df, [v.to_pyspark_expr() for v in by]) df = df.agg(*aggs) return df diff --git a/python/spl_transpiler/runtime/monkeypatches/__init__.py b/python/spl_transpiler/runtime/monkeypatches/__init__.py new file mode 100644 index 0000000..45ad508 --- /dev/null +++ b/python/spl_transpiler/runtime/monkeypatches/__init__.py @@ -0,0 +1,19 @@ +from functools import cache + +from pyspark.sql import DataFrame, functions as F, GroupedData + + +def groupByMaybeExploded(self: DataFrame, by: list) -> GroupedData: + by_strings = [c for c in by if isinstance(c, str)] + return self.withColumns( + { + c: F.explode(c) + for c, tp in self.dtypes + if c in by_strings and str(tp).lower().startswith("array<") + } + ).groupBy(by) + + +@cache +def install_monkeypatches(): + DataFrame._spltranspiler__groupByMaybeExploded = groupByMaybeExploded diff --git a/src/commands/cmd_dedup/spl.rs b/src/commands/cmd_dedup/spl.rs index 52849ae..17b9305 100644 --- a/src/commands/cmd_dedup/spl.rs +++ b/src/commands/cmd_dedup/spl.rs @@ -46,7 +46,7 @@ impl_pyclass!(DedupCommand { // case Field(myVal) => !myVal.toLowerCase(Locale.ROOT).equals("sortby") // }.rep(1) fn dedup_field_rep(input: &str) -> IResult<&str, Vec> { - many1(ws(verify(field, |f| f.0.to_ascii_lowercase() != "sortby")))(input) + many1(ws(verify(field, |f| !f.0.eq_ignore_ascii_case("sortby"))))(input) } // diff --git a/src/commands/cmd_lookup/pyspark.rs b/src/commands/cmd_lookup/pyspark.rs index 73e872b..c720bdc 100644 --- a/src/commands/cmd_lookup/pyspark.rs +++ b/src/commands/cmd_lookup/pyspark.rs @@ -41,7 +41,7 @@ impl PipelineTransformer for LookupCommand { None => { vec![column_like!(col("main.*")), column_like!(col("lookup.*"))] } - Some(LookupOutput { kv, fields }) if kv.to_ascii_uppercase() == "OUTPUT" => { + Some(LookupOutput { kv, fields }) if kv.eq_ignore_ascii_case("OUTPUT") => { let mut cols = vec![column_like!(col("main.*"))]; for field in fields { cols.push(match field { @@ -60,7 +60,7 @@ impl PipelineTransformer for LookupCommand { } cols } - Some(LookupOutput { kv, fields }) if kv.to_ascii_uppercase() == "OUTPUTNEW" => { + Some(LookupOutput { kv, fields }) if kv.eq_ignore_ascii_case("OUTPUTNEW") => { bail!("UNIMPLEMENTED: `lookup` command with `OUTPUTNEW` not supported") } output => bail!("Unsupported output definition for `lookup`: {:?}", output), diff --git a/src/commands/cmd_lookup/spl.rs b/src/commands/cmd_lookup/spl.rs index a1d1338..4d1ee77 100644 --- a/src/commands/cmd_lookup/spl.rs +++ b/src/commands/cmd_lookup/spl.rs @@ -40,11 +40,11 @@ impl_pyclass!(LookupCommand { dataset: String, fields: Vec, output: O pub fn field_rep(input: &str) -> IResult<&str, Vec> { comma_or_space_separated_list1(alt(( map( - verify(aliased_field, |v| v.alias.to_ascii_lowercase() != "output"), + verify(aliased_field, |v| !v.alias.eq_ignore_ascii_case("output")), FieldLike::AliasedField, ), map( - verify(field, |v| v.0.to_ascii_lowercase() != "output"), + verify(field, |v| !v.0.eq_ignore_ascii_case("output")), FieldLike::Field, ), ))) diff --git a/src/commands/cmd_search/spl.rs b/src/commands/cmd_search/spl.rs index 4b419e9..04d1a31 100644 --- a/src/commands/cmd_search/spl.rs +++ b/src/commands/cmd_search/spl.rs @@ -66,7 +66,7 @@ impl SplCommand for SearchParser { mod tests { use super::*; use crate::spl::ast; - use crate::spl::parser::field_in; + use crate::spl::parser::{expr, field_in}; use crate::spl::utils::test::*; use nom::Finish; use rstest::rstest; diff --git a/src/commands/cmd_stats/pyspark.rs b/src/commands/cmd_stats/pyspark.rs index 5c2897f..7a9ff1b 100644 --- a/src/commands/cmd_stats/pyspark.rs +++ b/src/commands/cmd_stats/pyspark.rs @@ -4,6 +4,7 @@ use crate::pyspark::alias::Aliasable; use crate::pyspark::ast::ColumnLike::FunctionCall; use crate::pyspark::ast::*; use crate::pyspark::base::{PysparkTranspileContext, ToSparkExpr}; +use crate::pyspark::singletons::CodeTransformerType; use crate::pyspark::transpiler::{PipelineTransformState, PipelineTransformer}; use crate::spl::ast; use anyhow::bail; @@ -101,16 +102,27 @@ impl PipelineTransformer for StatsCommand { df = df_; aggs.push(e); } - df = df.group_by( - self.by - .clone() - .unwrap_or_default() - .into_iter() - .map(stats_utils::transform_by_field) - .collect(), - ); + let by_columns: Vec<_> = self + .by + .clone() + .unwrap_or_default() + .into_iter() + .map(stats_utils::transform_by_field) + .map(|col| match col { + ColumnOrName::Column(col) => RuntimeExpr::from(col.unaliased()), + ColumnOrName::Name(name) => RuntimeExpr::from(column_like!(py_lit(name))), + }) + .collect(); + + let df = df + .dataframe_method( + "_spltranspiler__groupByMaybeExploded", + vec![PyList(by_columns).into()], + Vec::new(), + ) + .requires(CodeTransformerType::MonkeyPatch); - df = df.agg(aggs); + let df = df.agg(aggs); Ok(state.with_df(df)) } @@ -127,7 +139,11 @@ mod tests { r#"stats count min(_time) as firstTime max(_time) as lastTime by Processes.parent_process_name Processes.parent_process Processes.process_name Processes.process_id Processes.process Processes.dest Processes.user"#, - r#"spark.table("main").groupBy([ + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("main")._spltranspiler__groupByMaybeExploded([ "Processes.parent_process_name", "Processes.parent_process", "Processes.process_name", @@ -149,7 +165,11 @@ mod tests { r#"stats count min(_time) as firstTime max(_time) as lastTime by Web.http_user_agent, Web.status Web.http_method, Web.url, Web.url_length, Web.src, Web.dest, sourcetype"#, - r#"spark.table("main").groupBy([ + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("main")._spltranspiler__groupByMaybeExploded([ "Web.http_user_agent", "Web.status", "Web.http_method", @@ -175,7 +195,11 @@ mod tests { generates( query, - r#"spark.table("main").groupBy([ + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("main")._spltranspiler__groupByMaybeExploded([ F.window("_time", "1 hours"), "Processes.user", "Processes.process_id", @@ -204,7 +228,11 @@ mod tests { // TODO: The `like` strings should be r strings or escaped generates( query, - r#"spark.table("main").groupBy([ + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("main")._spltranspiler__groupByMaybeExploded([ "Processes.original_file_name", "Processes.parent_process_name", "Processes.parent_process", @@ -254,4 +282,21 @@ df_1 "#, ) } + + #[rstest] + fn test_stats_6() { + let query = r#"stats + count + by _time"#; + + generates( + query, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("main")._spltranspiler__groupByMaybeExploded(["_time"]).agg(F.count(F.lit(1)).alias("count")) + "#, + ) + } } diff --git a/src/format_python.rs b/src/format_python.rs index 9f1e0a5..5ccb081 100644 --- a/src/format_python.rs +++ b/src/format_python.rs @@ -17,7 +17,7 @@ mod tests { #[rstest] fn test_format_python_code_1() { assert_eq!( - format_python_code(r#"some_func( 'yolo')"#.to_string()).unwrap(), + format_python_code(r#"some_func( 'yolo')"#).unwrap(), r#"some_func("yolo")"#.to_string(), ); } @@ -25,7 +25,7 @@ mod tests { #[rstest] fn test_format_python_code_2() { assert_eq!( - format_python_code(r#"spark.table('main')"#.to_string()).unwrap(), + format_python_code(r#"spark.table('main')"#).unwrap(), r#"spark.table("main")"#.to_string(), ); } diff --git a/src/pyspark/ast.rs b/src/pyspark/ast.rs index d1a10a0..936dde3 100644 --- a/src/pyspark/ast.rs +++ b/src/pyspark/ast.rs @@ -2,7 +2,9 @@ use crate::pyspark::alias::Aliasable; use crate::pyspark::base::{ ContextualizedExpr, PysparkTranspileContext, PythonCode, ToSparkExpr, ToSparkQuery, }; -use anyhow::{ensure, Result}; +use anyhow::{bail, ensure, Result}; +use std::fmt::Debug; +use std::hash::Hash; use std::sync::atomic::{AtomicUsize, Ordering}; #[derive(Debug, PartialEq, Clone, Hash)] @@ -351,6 +353,7 @@ macro_rules! py_dict { }; } +use crate::pyspark::singletons::{CodeTransformer, CodeTransformerType}; pub(crate) use py_dict; impl PyDict { @@ -570,12 +573,19 @@ impl ToSparkQuery for RuntimeExpr { } } +// trait DataframeTransformer: CodeTransformer + Debug + PartialEq + Clone + Hash {} +// impl DataframeTransformer for T {} + #[allow(dead_code)] #[derive(Debug, PartialEq, Clone, Hash)] pub enum DataFrame { Source { name: String, }, + Transformed { + source: Box, + transformer: CodeTransformerType, + }, Runtime { name: String, source: Option>, @@ -583,8 +593,10 @@ pub enum DataFrame { args: Vec, kwargs: Vec<(String, RuntimeExpr)>, }, - RawSource { - code: String, + Raw { + source: Option>, + code: Option, + prefix: Option>, }, Named { source: Box, @@ -633,10 +645,39 @@ impl DataFrame { } } pub fn raw_source(code: impl ToString) -> DataFrame { - DataFrame::RawSource { - code: code.to_string(), + DataFrame::Raw { + source: None, + code: Some(code.to_string()), + prefix: None, + } + } + pub fn raw_transform(&self, code: impl ToString, prefix: Option>) -> DataFrame { + DataFrame::Raw { + source: Some(Box::new(self.clone())), + code: Some(code.to_string()), + prefix, } } + pub fn requires(&self, transformer: CodeTransformerType) -> DataFrame { + DataFrame::Transformed { + source: Box::new(self.clone()), + transformer, + } + } + // pub fn comment(&self, comment: impl ToString) -> DataFrame { + // DataFrame::Raw { + // source: Some(Box::new(self.clone())), + // code: None, + // prefix: Some(vec!(format!("# {}", comment.to_string()))), + // } + // } + // pub fn prefixed(&self, prefix: impl IntoIterator) -> DataFrame { + // DataFrame::Raw { + // source: Some(Box::new(self.clone())), + // code: None, + // prefix: Some(Vec::from(prefix)), + // } + // } pub fn named(&self, name: Option, ctx: &PysparkTranspileContext) -> DataFrame { DataFrame::Named { source: Box::new(self.clone()), @@ -799,7 +840,40 @@ impl ToSparkQuery for DataFrame { fn to_spark_query(&self, ctx: &PysparkTranspileContext) -> Result { match self { DataFrame::Source { name } => Ok(format!("spark.table('{}')", name).into()), - DataFrame::RawSource { code } => Ok(code.clone().into()), + DataFrame::Transformed { + source, + transformer, + } => { + let code = source.to_spark_query(ctx)?; + let code = transformer.update_code(code, ctx)?; + Ok(code) + } + DataFrame::Raw { + source, + code, + prefix, + } => { + let source_code = match source { + Some(ref source) => Some(source.to_spark_query(ctx)?), + None => None, + }; + let primary_code = match code { + Some(ref code) => code.clone(), + None => match &source_code { + Some(PythonCode { + primary_df_code, .. + }) => primary_df_code.clone(), + None => { + bail!("Cannot generate raw code with neither a source nor raw code") + } + }, + }; + Ok(PythonCode::new( + primary_code, + prefix.clone().unwrap_or_default(), + source_code, + )) + } DataFrame::Runtime { name, source, @@ -1011,4 +1085,21 @@ df_2 false, ); } + + #[rstest] + fn test_raw_with_prefix( + #[from(crate::pyspark::base::test::ctx_bare)] ctx: PysparkTranspileContext, + ) { + let df = DataFrame::source("main").named(Some("df_pre".to_string()), &ctx); + let df = df.raw_transform("df_pre.something_new()", None); + + assert_python_code_eq( + df.to_spark_query(&ctx).unwrap().to_string(), + r#" +df_pre = spark.table("main") +df_pre.something_new() + "#, + false, + ); + } } diff --git a/src/pyspark/base.rs b/src/pyspark/base.rs index b64b78b..9722229 100644 --- a/src/pyspark/base.rs +++ b/src/pyspark/base.rs @@ -1,9 +1,11 @@ use crate::pyspark::ast::Expr; use anyhow::Result; +use std::collections::HashSet; use std::fmt::{Debug, Display}; use std::ops::Deref; use std::rc::Rc; use std::sync::atomic::AtomicUsize; +use std::sync::{Arc, RwLock}; #[derive(Debug, Clone)] pub enum RuntimeSelection { @@ -17,6 +19,7 @@ pub enum RuntimeSelection { pub struct PysparkTranspileContext { pub df_num: Rc, pub runtime: RuntimeSelection, + pub singletons: Arc>>, } impl PysparkTranspileContext { @@ -34,10 +37,12 @@ impl Default for PysparkTranspileContext { PysparkTranspileContext { df_num: Rc::new(AtomicUsize::new(1)), runtime: RuntimeSelection::Disallow, + singletons: Arc::new(RwLock::new(HashSet::new())), } } } +#[derive(Debug, Clone, PartialEq, Hash)] pub struct PythonCode { pub preface: Vec, pub primary_df_code: String, diff --git a/src/pyspark/mod.rs b/src/pyspark/mod.rs index a1a0d2c..fb2e73b 100644 --- a/src/pyspark/mod.rs +++ b/src/pyspark/mod.rs @@ -1,8 +1,10 @@ pub(crate) mod alias; pub(crate) mod ast; pub(crate) mod base; +pub(crate) mod singletons; pub(crate) mod transpiler; pub(crate) mod utils; +// mod _autogen_tests; pub use ast::TransformedPipeline; pub use base::ToSparkQuery; @@ -25,7 +27,11 @@ mod tests { fn test_01() { generates( r#"n>2 | stats count() by valid"#, - r#"spark.table("main").where((F.col("n") > F.lit(2))).groupBy(["valid"]).agg(F.count(F.lit(1)).alias("count"))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("main").where((F.col("n") > F.lit(2)))._spltranspiler__groupByMaybeExploded(["valid"]).agg(F.count(F.lit(1)).alias("count"))"#, ); } @@ -57,7 +63,11 @@ mod tests { fn test_03() { generates( r#"n>2 | stats sum(n) by valid"#, - r#"spark.table('main').where((F.col('n') > F.lit(2))).groupBy(['valid']).agg(F.sum(F.col('n')).alias('sum'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main').where((F.col('n') > F.lit(2)))._spltranspiler__groupByMaybeExploded(['valid']).agg(F.sum(F.col('n')).alias('sum'))"#, ); } // @@ -88,7 +98,11 @@ mod tests { generates( // r#"eval n=23 | stats sum(*) by valid"#, r#"eval n=23 | stats sum(n) by valid"#, - r#"spark.table('main').withColumn('n', F.lit(23)).groupBy(['valid']).agg(F.sum(F.col('n')).alias('sum'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main').withColumn('n', F.lit(23))._spltranspiler__groupByMaybeExploded(['valid']).agg(F.sum(F.col('n')).alias('sum'))"#, ); } @@ -105,7 +119,11 @@ mod tests { fn test_06() { generates( r#"n>2 | stats sum(n)"#, - r#"spark.table('main').where((F.col('n') > F.lit(2))).groupBy([]).agg(F.sum(F.col('n')).alias('sum'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main').where((F.col('n') > F.lit(2)))._spltranspiler__groupByMaybeExploded([]).agg(F.sum(F.col('n')).alias('sum'))"#, ); } @@ -122,7 +140,11 @@ mod tests { fn test_07() { generates( r#"n>2 | stats sum(n) AS total_sum"#, - r#"spark.table('main').where((F.col('n') > F.lit(2))).groupBy([]).agg(F.sum(F.col('n')).alias('total_sum'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main').where((F.col('n') > F.lit(2)))._spltranspiler__groupByMaybeExploded([]).agg(F.sum(F.col('n')).alias('total_sum'))"#, ); } // @@ -137,7 +159,11 @@ mod tests { fn test_08() { generates( r#"stats values(d) as set"#, - r#"spark.table('main').groupBy([]).agg(F.collect_set(F.col('d')).alias('set'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main')._spltranspiler__groupByMaybeExploded([]).agg(F.collect_set(F.col('d')).alias('set'))"#, ); } // @@ -153,7 +179,11 @@ mod tests { fn test_09() { generates( r#"stats latest(d) as latest"#, - r#"spark.table('main').orderBy(F.col('_time').asc()).groupBy([]).agg(F.last(F.col('d'), True).alias('latest'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main').orderBy(F.col('_time').asc())._spltranspiler__groupByMaybeExploded([]).agg(F.last(F.col('d'), True).alias('latest'))"#, ); } // @@ -169,7 +199,11 @@ mod tests { fn test_10() { generates( r#"stats earliest(d) as earliest"#, - r#"spark.table('main').orderBy(F.col('_time').asc()).groupBy([]).agg(F.first(F.col('d'), True).alias('earliest'))"#, + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table('main').orderBy(F.col('_time').asc())._spltranspiler__groupByMaybeExploded([]).agg(F.first(F.col('d'), True).alias('earliest'))"#, ); } // @@ -869,7 +903,7 @@ mod tests { fn test_46() { generates( r#"strftime(_time, test)"#, - r#"spark.table('main').where(F.date_format(F.col('_time'), 'test'))"#, + r#"spark.table('main').where(F.date_format(F.col('_time'), "'test'"))"#, ); } @@ -1071,7 +1105,11 @@ mod tests { fn test_percentile_fn_1() { generates( r#"index=alt | stats percentile99(a) AS x"#, - r#"spark.table("alt").groupBy([]).agg( + r#" +from spl_transpiler.runtime.monkeypatches import install_monkeypatches +install_monkeypatches() + +spark.table("alt")._spltranspiler__groupByMaybeExploded([]).agg( F.percentile_approx(F.col("a"), 0.99).alias("x") )"#, ) diff --git a/src/pyspark/singletons.rs b/src/pyspark/singletons.rs new file mode 100644 index 0000000..0fb18bd --- /dev/null +++ b/src/pyspark/singletons.rs @@ -0,0 +1,84 @@ +use crate::pyspark::base::{PysparkTranspileContext, PythonCode}; +use std::fmt::Debug; +use std::hash::Hash; + +use anyhow::{anyhow, Result}; + +pub trait CodeTransformer { + fn update_code(&self, code: PythonCode, ctx: &PysparkTranspileContext) -> Result; +} + +pub trait SingletonCodeTransformer { + const KEY: &'static str; + type Transformer: CodeTransformer; +} + +#[derive(Debug, PartialEq, Clone, Hash)] +pub enum CodeTransformerType { + MonkeyPatch, +} + +impl CodeTransformer for CodeTransformerType { + fn update_code(&self, code: PythonCode, ctx: &PysparkTranspileContext) -> Result { + match self { + CodeTransformerType::MonkeyPatch => { + RequiresMonkeyPatch::update_code(&RequiresMonkeyPatch, code, ctx) + } + } + } +} + +impl> CodeTransformer for S { + fn update_code( + &self, + mut code: PythonCode, + ctx: &PysparkTranspileContext, + ) -> Result { + let already_applied; + { + let singleton_list = ctx + .singletons + .read() + .map_err(|e| anyhow!("Failed to acquire read lock: {}", e))?; + already_applied = singleton_list.contains(&Self::KEY.to_string()); + } + + if !already_applied { + // TODO: If runtime is disabled, just copy-paste the monkeypatch code directly + code = S::Transformer::default().update_code(code, ctx)?; + + let mut singleton_list = ctx + .singletons + .write() + .map_err(|e| anyhow!("Failed to acquire read lock: {}", e))?; + singleton_list.insert(Self::KEY.to_string()); + } + + Ok(code) + } +} + +#[derive(Debug, PartialEq, Clone, Hash, Default)] +pub struct ApplyMonkeyPatch; + +impl CodeTransformer for ApplyMonkeyPatch { + fn update_code(&self, code: PythonCode, _ctx: &PysparkTranspileContext) -> Result { + let PythonCode { + mut preface, + primary_df_code, + } = code; + preface.insert(0, "from spl_transpiler.runtime.monkeypatches import install_monkeypatches\ninstall_monkeypatches()".to_string()); + Ok(PythonCode { + primary_df_code, + preface, + }) + } +} + +#[derive(Debug, PartialEq, Clone, Hash, Default)] +pub struct RequiresMonkeyPatch; + +impl SingletonCodeTransformer for RequiresMonkeyPatch { + const KEY: &'static str = "MONKEYPATCH"; + type Transformer = ApplyMonkeyPatch; +} diff --git a/src/pyspark/transpiler/utils.rs b/src/pyspark/transpiler/utils.rs index c497615..2d94f9e 100644 --- a/src/pyspark/transpiler/utils.rs +++ b/src/pyspark/transpiler/utils.rs @@ -1,5 +1,5 @@ use crate::pyspark::ast::*; -use anyhow::{bail, Result}; +use anyhow::{bail, Context, Result}; pub fn join_as_binaries(op: impl ToString, exprs: Vec) -> Option { match exprs.len() { @@ -166,16 +166,42 @@ const CONVERSIONS: [(&str, Option<&str>); 37] = [ ]; pub fn convert_time_format(spl_time_format: impl ToString) -> Result { - let mut fmt_string = spl_time_format.to_string(); + let fmt_string = spl_time_format.to_string(); for (original, replacement) in CONVERSIONS { if !fmt_string.contains(original) { continue; } - match replacement { + return Ok(match replacement { None => bail!("No known replacement pattern for `{}`", original), - Some(replacement) => fmt_string = fmt_string.replace(original, replacement), - } + Some(replacement) => { + let (left, right) = fmt_string + .split_once(original) + .context("Failed to find pattern even after we checked for it...?")?; + let left = convert_time_format(left) + .context(format!("Failed to convert left remainder {}", left))?; + let right = convert_time_format(right) + .context(format!("Failed to convert right remainder {}", right))?; + format!("{}{}{}", left, replacement, right) + } + }); + } + Ok(match fmt_string.as_str() { + s if s.chars().any(|c| c.is_alphanumeric()) => format!("'{}'", s), + s => s.into(), + }) +} + +#[cfg(test)] +mod tests { + use super::*; + use rstest::rstest; + + #[rstest] + fn test_convert_time_format_1() { + assert_eq!( + convert_time_format("%Y-%m-%dT%H:%M:%S").expect("Failed to convert time format"), + "yyyy-MM-dd'T'HH:mm:ss".to_string() + ) } - Ok(fmt_string) } diff --git a/src/spl/operators.rs b/src/spl/operators.rs index 3f0105b..2956f28 100644 --- a/src/spl/operators.rs +++ b/src/spl/operators.rs @@ -18,7 +18,7 @@ impl OperatorSymbolTrait for UnaryNot { const SYMBOL: &'static str = "NOT"; const PRECEDENCE: i32 = 2; fn pattern(input: &str) -> IResult<&str, &str> { - verify(alpha1, |tok: &str| tok.to_ascii_lowercase() == "not")(input) + verify(alpha1, |tok: &str| tok.eq_ignore_ascii_case("not"))(input) } } #[derive(Debug, PartialEq, Clone)] diff --git a/src/spl/parser.rs b/src/spl/parser.rs index 19a5082..fe4ae9b 100644 --- a/src/spl/parser.rs +++ b/src/spl/parser.rs @@ -766,7 +766,7 @@ pub fn comparison_operator(input: &str) -> IResult<&str, OperatorSymbol> { ))(input) } -/// Matches any operator that combines two expressions into a logical/boolean result +// /// Matches any operator that combines two expressions into a logical/boolean result // pub fn logical_operator(input: &str) -> IResult<&str, OperatorSymbol> { // alt(( // comparison_operator, @@ -782,7 +782,7 @@ pub fn comparison_operator(input: &str) -> IResult<&str, OperatorSymbol> { // ))(input) // } -/// Matches any operator that combines two expressions into a new expression +// /// Matches any operator that combines two expressions into a new expression // pub fn operator(input: &str) -> IResult<&str, OperatorSymbol> { // alt(( // logical_operator, @@ -1161,7 +1161,7 @@ pub fn stats_call(input: &str) -> IResult<&str, Vec> { }, ), map( - verify(token, |v: &str| v.to_ascii_lowercase() != "by"), + verify(token, |v: &str| !v.eq_ignore_ascii_case("by")), |v| { ast::Call { name: v.into(), diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..eb47834 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,27 @@ +import logging +from pathlib import Path + +import pytest + +from spl_transpiler.macros import ( + MacroDefinition, + CombinedMacroLoader, + FolderMacroLoader, +) + +log = logging.getLogger(__name__) + +SAMPLE_DATA_ROOT = Path(__file__).parent / "sample_data" +SAMPLE_MACROS_ROOT = SAMPLE_DATA_ROOT / "macros" + + +def empty_macro(item): + log.warning(f"Could not find macro `{item}`, returning empty macro") + return MacroDefinition(definition="") + + +@pytest.fixture(scope="session") +def macros(): + return CombinedMacroLoader( + FolderMacroLoader(SAMPLE_MACROS_ROOT), fallback_fn=empty_macro + ) diff --git a/tests/runtime/conftest.py b/tests/runtime/conftest.py index c2ed1ad..71cfd59 100644 --- a/tests/runtime/conftest.py +++ b/tests/runtime/conftest.py @@ -2,7 +2,7 @@ import os import sys -from runtime.utils import data_as_named_table +from .utils import data_as_named_table # Ensures local spark cluster uses same python as is running this test os.environ["PYSPARK_PYTHON"] = sys.executable @@ -12,11 +12,13 @@ def spark(): from pyspark.sql import SparkSession - return ( + spark = ( SparkSession.builder.appName("Testing PySpark Example") .master("local[*]") .getOrCreate() ) + spark.conf.set("spark.sql.session.timeZone", "-05:00") + return spark @pytest.fixture(scope="session", autouse=True) diff --git a/tests/runtime/test_attack_data.py b/tests/runtime/test_attack_data.py new file mode 100644 index 0000000..4f79ba4 --- /dev/null +++ b/tests/runtime/test_attack_data.py @@ -0,0 +1,159 @@ +import logging +from pathlib import Path + +import pytest +import yaml +from decorator import decorator +from pydantic import BaseModel, DirectoryPath +from pyspark.sql import SparkSession, DataFrame +from typing_extensions import Self + +from spl_transpiler import convert_spl_to_pyspark +from spl_transpiler.macros import substitute_macros +from .utils import data_as_named_table, execute_transpiled_pyspark_code + +log = logging.getLogger(__name__) + + +@decorator +def validate_suffix(path: Path, *, expected_suffix: str) -> callable: + assert path.suffix == expected_suffix, ( + f"Expected {expected_suffix}, got {path.suffix}" + ) + return path + + +class Cleanup(BaseModel): + timestamps: list[str] = [] + sort_by: list[str] | None = None + + def apply(self, df: DataFrame) -> DataFrame: + from pyspark.sql import functions as F + + df = df.withColumns( + {col: F.to_timestamp(F.col(col)) for col in self.timestamps} + ) + return df + + +class AttackDefinition(BaseModel): + base_path: DirectoryPath + input_file: Path + output_file: Path + query_file: Path + + cleanup: Cleanup = Cleanup() + + @classmethod + def load_from_yaml(cls, path: Path) -> Self: + with open(path, "r") as f: + return cls(base_path=path.parent, **yaml.safe_load(f)) + + def _load_data(self, path: Path) -> DataFrame: + spark = SparkSession.builder.getOrCreate() + spark.conf.set("spark.sql.caseSensitive", True) + match path.suffix: + case ".jsonl": + df = spark.read.json(str(path.resolve())) + df = df.select("result.*") + case ".csv": + df = ( + spark.read.option("multiline", "true") + .option("quote", '"') + .option("header", "true") + .option("inferSchema", "true") + .option("escape", "\\") + .option("escape", '"') + .csv(str(path.resolve())) + ) + case _: + raise ValueError(f"Unknown extension: {path.suffix}") + return df + + @property + def input_data(self) -> DataFrame: + return self._load_data(self.base_path / self.input_file) + + @property + def output_data(self) -> DataFrame: + return self._load_data(self.base_path / self.output_file) + + @property + def query(self) -> str: + return (self.base_path / self.query_file).read_text() + + +ATTACK_DATA_ROOT = Path(__file__).parent.parent / "sample_data" / "attack_data" +_sample_files = ATTACK_DATA_ROOT.glob("*.yaml") + + +# def _normalize_data(data): +# match data: +# case list(): +# return tuple(_normalize_data(item) for item in data) +# case dict(): +# return tuple(sorted((k, _normalize_data(v)) for k, v in data.items())) +# case _: +# return data +# +# +# def _normalize_df(df: DataFrame): +# return [_normalize_data(row.asDict(True)) for row in df.collect()] + + +def _normalize_df(df: DataFrame, cleanup: Cleanup): + df = cleanup.apply(df) + df = df.toPandas() + + df = df[list(sorted(df.columns))] + df = df.sort_values( + by=cleanup.sort_by if cleanup.sort_by is not None else list(df.columns) + ) + df = df.reset_index(drop=True) + + return df + + +def _normalize_df_pair(actual, expected): + for col, dtype in actual.dtypes.items(): + assert col in expected, ( + f"Column {col} found in actual output but missing from expected output" + ) + try: + expected[col] = expected[col].astype(dtype) + except Exception as e: + raise TypeError( + f"Column {col} found in both actual and expected outputs, but values in expected output could not be type cast to match actual dtype {dtype}" + ) from e + + return actual, expected + + +def _assert_df_equals(actual: DataFrame, expected: DataFrame, cleanup: Cleanup): + from pandas.testing import assert_frame_equal + + actual = _normalize_df(actual, cleanup) + expected = _normalize_df(expected, cleanup) + + actual, expected = _normalize_df_pair(actual, expected) + + assert_frame_equal(actual, expected, check_dtype=False) + + +# For each sample file, test that the transpiled query, when run against the input data, produces the output data +@pytest.mark.parametrize("attack_data_path", _sample_files, ids=lambda x: x.stem) +# @pytest.mark.parametrize("allow_runtime", [True, False], ids=lambda x: "runtime" if x else "standalone") +@pytest.mark.parametrize( + "allow_runtime", [False], ids=lambda x: "runtime" if x else "standalone" +) +def test_transpiled_query( + spark, macros, attack_data_path: Path, allow_runtime: bool +) -> None: + attack_data = AttackDefinition.load_from_yaml(attack_data_path) + query = substitute_macros(attack_data.query, macros) + print(f"Query: {query}") + transpiled_code = convert_spl_to_pyspark(query, allow_runtime=allow_runtime) + # log.info(f"Transpiled code: {transpiled_code}") + with data_as_named_table(spark, attack_data.input_data, "main"): + query_results = execute_transpiled_pyspark_code(transpiled_code) + _assert_df_equals(query_results, attack_data.output_data, attack_data.cleanup) diff --git a/tests/runtime/utils.py b/tests/runtime/utils.py index a58b985..63f1990 100644 --- a/tests/runtime/utils.py +++ b/tests/runtime/utils.py @@ -10,10 +10,9 @@ from rich.syntax import Syntax -def execute_spl_code(spl_code: str) -> DataFrame: - pyspark_code = convert_spl_to_pyspark(spl_code=spl_code, allow_runtime=True) - +def execute_transpiled_pyspark_code(pyspark_code: str) -> DataFrame: global_vars = { + "spark": SparkSession.builder.getOrCreate(), "commands": commands, "functions": functions, "F": F, @@ -25,6 +24,11 @@ def execute_spl_code(spl_code: str) -> DataFrame: return exec_with_return(pyspark_code, global_vars, local_vars) +def execute_spl_code(spl_code: str) -> DataFrame: + pyspark_code = convert_spl_to_pyspark(spl_code=spl_code, allow_runtime=True) + return execute_transpiled_pyspark_code(pyspark_code) + + @contextlib.contextmanager def data_as_named_table(spark: SparkSession, df: DataFrame, name: str): try: diff --git a/tests/sample_data/attack_data/.gitignore b/tests/sample_data/attack_data/.gitignore new file mode 100644 index 0000000..c190512 --- /dev/null +++ b/tests/sample_data/attack_data/.gitignore @@ -0,0 +1 @@ +*.backup diff --git a/tests/sample_data/attack_data/crowdstrike_high_identity_risk_severity.yaml b/tests/sample_data/attack_data/crowdstrike_high_identity_risk_severity.yaml new file mode 100644 index 0000000..74ba979 --- /dev/null +++ b/tests/sample_data/attack_data/crowdstrike_high_identity_risk_severity.yaml @@ -0,0 +1,5 @@ +input_file: ./inputs/crowdstrike_identities.jsonl +output_file: ./outputs/crowdstrike_high_identity_risk_severity.jsonl +query_file: ../queries/security_content/crowdstrike_high_identity_risk_severity.spl +cleanup: + timestamps: [firstTime, lastTime] diff --git a/tests/sample_data/attack_data/inputs/crowdstrike_identities.jsonl b/tests/sample_data/attack_data/inputs/crowdstrike_identities.jsonl new file mode 100644 index 0000000..15564ac --- /dev/null +++ b/tests/sample_data/attack_data/inputs/crowdstrike_identities.jsonl @@ -0,0 +1,8 @@ +{"preview": false, "result": {"_raw": "{\"entityId\": \"4577b161-dddd-cccc-bbbbb-aaaaaaaaaaaa\", \"learned\": true, \"archived\": false, \"primaryDisplayName\": \"Ozumaki Naruto\", \"secondaryDisplayName\": \"CORP.TESTLABS.COM\\\\x-onaruto\", \"markTime\": null, \"type\": \"USER\", \"watched\": false, \"isHuman\": true, \"riskScore\": 0.62, \"riskScoreSeverity\": \"MEDIUM\", \"riskFactors\": [{\"type\": \"HAS_ATTACK_PATH\", \"severity\": \"MEDIUM\"}, {\"type\": \"CREDENTIAL_SCANNING\", \"severity\": \"MEDIUM\"}, {\"type\": \"WEAK_PASSWORD_POLICY\", \"severity\": \"NORMAL\"}], \"roles\": [{\"type\": \"HumanUserAccountRole\", \"fullPath\": \"ClassificationRole/HumanUserAccountRole\", \"probability\": 0.9142424083357809}], \"isProgrammatic\": false, \"emailAddresses\": [\"x-onaruto@testlabs.com\"], \"accounts\": [{\"description\": \"Builder\", \"dataSource\": \"ACTIVE_DIRECTORY\", \"creationTime\": 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render_pyspark, parse from spl_transpiler.macros import ( - FolderMacroLoader, substitute_macros, - MacroDefinition, - CombinedMacroLoader, ) log = logging.getLogger(__name__) -SAMPLE_DATA_ROOT = Path(__file__).parent / "sample_data" SAMPLE_QUERIES_ROOT = SAMPLE_DATA_ROOT / "queries" -SAMPLE_MACROS_ROOT = SAMPLE_DATA_ROOT / "macros" ALL_SPL_COMMANDS = [ "abstract", @@ -202,18 +198,6 @@ # return MacroDefinition.model_validate_json(path.read_text()) -def empty_macro(item): - log.warning(f"Could not find macro `{item}`, returning empty macro") - return MacroDefinition(definition="") - - -@pytest.fixture(scope="session") -def macros(): - return CombinedMacroLoader( - FolderMacroLoader(SAMPLE_MACROS_ROOT), fallback_fn=empty_macro - ) - - def _expand(file_name, macros): path = SAMPLE_QUERIES_ROOT / file_name spl_query = path.read_text(encoding="utf-8") diff --git a/uv.lock b/uv.lock index 3ce6b24..9b7f390 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,10 @@ version = 1 requires-python = 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