add panas code execution sinks, add proper tests

This commit is contained in:
amammad
2024-02-23 20:36:00 +04:00
parent 6b63492d6b
commit 3d7db0e46b
2 changed files with 199 additions and 0 deletions

View File

@@ -34,4 +34,118 @@ private module Pandas {
override string getFormat() { result = "pickle" }
}
module DataFrame {
/**
* A `pandas.DataFrame` Object.
* See https://pandas.pydata.org/docs/reference/frame.html
*/
abstract class Range extends API::Node {
override string toString() { result = this.(API::Node).toString() }
}
}
/**
* The `pandas.DataFrame` Objects including secondary `pandas.DataFrame` Objects.
* Use this class where you want to find all `pandas.DataFrame` Objects.
* See https://pandas.pydata.org/pandas-docs/stable/reference/frame.html
*/
class DataFrame extends API::Node {
DataFrame() {
this = any(DataFrame::Range df)
or
exists(API::Node dataFrame | dataFrame = any(DataFrame::Range df) |
this =
dataFrame
.getMember([
"copy", "from_records", "from_dict", "from_spmatrix", "assign", "select_dtypes",
"set_flags", "astype", "infer_objects", "head", "xs", "get", "isin", "where",
"mask", "query", "add", "mul", "truediv", "mod", "pow", "dot", "radd", "rsub",
"rdiv", "rfloordiv", "rtruediv", "rpow", "lt", "gt", "le", "ne", "agg", "combine",
"apply", "aggregate", "transform", "all", "any", "clip", "corr", "cov", "cummax",
"cummin", "cumprod", "describe", "mode", "pct_change", "quantile", "rank",
"round", "sem", "add_prefix", "add_suffix", "at_time", "between_time", "drop",
"drop_duplicates", "filter", "first", "head", "idxmin", "last", "reindex",
"reindex_like", "reset_index", "sample", "set_axis", "tail", "take", "truncate",
"bfill", "dropna", "ffill", "fillna", "interpolate", "isna", "isnull", "notna",
"notnull", "pad", "replace", "droplevel", "pivot", "pivot_table",
"reorder_levels", "sort_values", "sort_index", "nlargest", "nsmallest",
"swaplevel", "stack", "unstack", "isnull", "notna", "notnull", "replace",
"droplevel", "pivot", "pivot_table", "reorder_levels", "sort_values",
"sort_index", "nlargest", "nsmallest", "swaplevel", "stack", "unstack", "melt",
"explode", "squeeze", "T", "transpose", "compare", "join", "from_spmatrix",
"shift", "asof", "merge", "from_dict", "tz_convert", "to_period", "asfreq",
"to_dense", "tz_localize", "box", "__dataframe__"
])
.getReturn()
)
}
override string toString() { result = this.(API::Node).toString() }
}
/**
* A `pandas.DataFrame` instantiation.
* See https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html
*/
class DataFrameConstructor extends DataFrame::Range {
DataFrameConstructor() { this = API::moduleImport("pandas").getMember("DataFrame").getReturn() }
}
/**
* The `pandas.read_*` functions that return a `pandas.DataFrame`.
* See https://pandas.pydata.org/docs/reference/io.html
*/
class InputRead extends DataFrame::Range {
InputRead() {
this =
API::moduleImport("pandas")
.getMember([
"read_csv", "read_fwf", "read_pickle", "read_table", "read_clipboard", "read_excel",
"read_xml", "read_parquet", "read_orc", "read_spss", "read_sql_table",
"read_sql_query", "read_sql", "read_gbq", "read_stata"
])
.getReturn()
or
this = API::moduleImport("pandas").getMember("read_html").getReturn().getASubscript()
or
exists(API::Node readSas, API::CallNode readSasCall |
readSas = API::moduleImport("pandas").getMember("read_sas") and
this = readSas.getReturn() and
readSasCall = readSas.getACall()
|
// Returns DataFrame if iterator=False and chunksize=None, With default values it returns DataFrame.
(
not readSasCall.getParameter(5, "iterator").asSink().asExpr().(BooleanLiteral) instanceof
True
or
not exists(readSasCall.getParameter(5, "iterator").asSink())
) and
not exists(
readSasCall.getParameter(4, "chunksize").asSink().asExpr().(IntegerLiteral).getN()
)
)
}
}
/**
* A Call to `pandas.DataFrame.query` or `pandas.DataFrame.eval`.
* See https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.query.html
* https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.eval.html
*/
class DataFlowQueryCall extends CodeExecution::Range, API::CallNode {
DataFlowQueryCall() { this = any(DataFrame df).getMember(["query", "eval"]).getACall() }
override DataFlow::Node getCode() { result = this.getParameter(0, "expr").asSink() }
}
/**
* A Call to `pandas.eval`.
* See https://pandas.pydata.org/docs/reference/api/pandas.eval.html
*/
class PandasEval extends CodeExecution::Range, API::CallNode {
PandasEval() { this = API::moduleImport("pandas").getMember("eval").getACall() }
override DataFlow::Node getCode() { result = this.getParameter(0, "expr").asSink() }
}
}

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@@ -0,0 +1,85 @@
import pandas as pd
df = pd.DataFrame({'temp_c': [17.0, 25.0]}, index=['Portland', 'Berkeley'])
df.sample().query("query") # $getCode="query"
df.mod().query("query") # $getCode="query"
pd.eval("pythonExpr", target=df) # $getCode="pythonExpr"
df = pd.read_csv("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df.copy().query("query") # $getCode="query"
df = pd.read_fwf("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_pickle("filepath") # $ decodeInput="filepath" decodeOutput=pd.read_pickle(..) decodeFormat=pickle decodeMayExecuteInput
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_table("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_clipboard("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_excel("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_html("filepath")
df[0].query("query") # $getCode="query"
df = pd.read_xml("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_parquet("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_orc("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_spss("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_sql_table("filepath", 'postgres:///db_name')
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_sql_query("filepath", 'postgres:///db_name')
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_sql("filepath", 'postgres:///db_name')
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_gbq("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_stata("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_sas("filepath")
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"
df = pd.read_sas("filepath", iterator=True, chunksize=1)
df.query("query")
df = pd.read_sas("filepath", iterator=False, chunksize=1)
df.query("query")
df = pd.read_sas("filepath", iterator=True, chunksize=None)
df.query("query")
df = pd.read_sas("filepath", iterator=False, chunksize=None)
df.query("query") # $getCode="query"
df.eval("query") # $getCode="query"