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Alteryx Open-Source Workflow Runner — Technical Specification

Target audience: Agentic coding tools (opencode, pi, etc.) Stack: Python 3.11+, DuckDB, Polars, PyArrow License target: Apache 2.0

1. Project Overview

Build a Python-native runner that parses Alteryx Designer workflow XML files (.yxmd) and executes each tool node against real data using DuckDB (for SQL-heavy transforms and I/O) and Polars (for streaming/in-memory frame operations). The runner does not require Alteryx to be installed.

1.1 Design Principles

Faithful semantics: match Alteryx output column order, naming, data types and NULL behaviour exactly.
DAG execution: parse the <Connections> graph, build a topological execution plan, execute nodes in dependency order.
Lazy where possible: use Polars LazyFrame / DuckDB views so materialisation happens once at sink nodes.
Pluggable tool registry: each tool is a self-contained Python class registered by its XML Plugin string; new tools can be dropped in without touching core execution logic.
No GUI dependency: CLI-first; expose a Python API for programmatic use.

2. Repository Layout

alteryx_runner/
├── cli.py                     # Entry point: `python -m alteryx_runner run workflow.yxmd`
├── engine/
│   ├── __init__.py
│   ├── parser.py              # XML → WorkflowGraph
│   ├── executor.py            # Topological executor
│   ├── graph.py               # WorkflowGraph, Node, Connection dataclasses
│   ├── context.py             # RunContext: connection pool, temp dir, constants
│   └── type_mapper.py         # Alteryx type → Polars/DuckDB dtype
├── tools/
│   ├── __init__.py            # Tool registry
│   ├── base.py                # BaseTool ABC
│   ├── inout/
│   │   ├── input_data.py
│   │   ├── output_data.py
│   │   ├── text_input.py
│   │   └── browse.py
│   ├── preparation/
│   │   ├── filter_tool.py
│   │   ├── formula_tool.py
│   │   ├── select_tool.py
│   │   ├── sort_tool.py
│   │   ├── sample_tool.py
│   │   ├── unique_tool.py
│   │   ├── generate_rows.py
│   │   ├── multi_row_formula.py
│   │   ├── multi_field_formula.py
│   │   ├── record_id.py
│   │   └── auto_field.py
│   ├── join/
│   │   ├── join_tool.py
│   │   ├── join_multiple.py
│   │   ├── union_tool.py
│   │   ├── append_fields.py
│   │   └── find_replace.py
│   ├── parse/
│   │   ├── datetime_tool.py
│   │   ├── regex_tool.py
│   │   └── text_to_columns.py
│   └── transform/
│       ├── summarize_tool.py
│       ├── cross_tab.py
│       └── transpose_tool.py
├── expression/
│   ├── __init__.py
│   ├── transpiler.py          # Alteryx expression → DuckDB SQL / Polars expr
│   └── functions.py           # Built-in function mappings
├── tests/
│   ├── fixtures/              # .yxmd files (from uploaded samples)
│   └── test_*.py
└── pyproject.toml

3. .yxmd File Format

Alteryx workflow files are UTF-8 XML. The root element is <AlteryxDocument>.

3.1 Top-Level Structure

<AlteryxDocument yxmdVer="2022.1">
  <Nodes>
    <Node ToolID="1"> ... </Node>
    <Node ToolID="2"> ... </Node>
  </Nodes>
  <Connections>
    <Connection>
      <Origin ToolID="1" Connection="Output" />
      <Destination ToolID="2" Connection="Input" />
    </Connection>
  </Connections>
  <Properties>
    <!-- workflow-level settings -->
    <SortedGrouping value="True" />
    <MetaInfo> ... </MetaInfo>
  </Properties>
</AlteryxDocument>

3.2 Node Structure

<Node ToolID="74">
  <GuiSettings Plugin="AlteryxBasePluginsGui.AlteryxSelect.AlteryxSelect">
    <Position x="282" y="186" />
  </GuiSettings>
  <Properties>
    <Configuration>
      <!-- tool-specific XML -->
    </Configuration>
    <Annotation DisplayMode="0">
      <DefaultAnnotationText>...</DefaultAnnotationText>
    </Annotation>
  </Properties>
  <EngineSettings EngineDll="AlteryxBasePluginsEngine.dll"
                  EngineDllEntryPoint="AlteryxSelect" />
  <MetaInfo connection="Output">
    <RecordInfo>
      <Field name="CustomerID" type="Int32" source="..." />
    </RecordInfo>
  </MetaInfo>
</Node>

Key attributes for the runner:

ToolID: integer, unique per workflow. Use as node identifier.
Plugin in <GuiSettings>: maps to the tool class (see registry table §4).
<Configuration>: tool-specific settings; parse per-tool.
<MetaInfo>/<RecordInfo>/<Field>: output schema hint (available on input tools; not always present on transform tools).
<EngineSettings>: Macro attribute signals a macro/yxmc sub-workflow; handle recursively.

3.3 Connection Structure

<Connection name="#1" Wireless="True">
  <Origin ToolID="155" Connection="Output" />
  <Destination ToolID="156" Connection="Input" />
</Connection>

Connection attribute on <Origin> / <Destination>: the anchor label.
- Most tools: "Output" / "Input".
- Filter: "True" / "False".
- Join: "Left" / "Right" (inputs), "J" / "L" / "R" (outputs).
- JoinMultiple: "Input" (numbered), "Output".
- Union: numbered "Input1", "Input2", etc.
Wireless="True": logical connection, no visual wire; treat identically to wired.
name="#N": numbered for multi-input tools; determines input slot ordering.

3.4 ChildNodes (Tool Containers)

<Node ToolID="159">
  <GuiSettings Plugin="AlteryxGuiToolkit.ToolContainer.ToolContainer" />
  <ChildNodes>
    <Node ToolID="156"> ... </Node>
    <Node ToolID="157"> ... </Node>
  </ChildNodes>
</Node>

Flatten <ChildNodes> into the parent graph. The container itself is a no-op passthrough for execution.

4. Tool Registry

Map Plugin string → Python class. The runner looks up the Plugin from <GuiSettings>.

Plugin String	Class	Category
`AlteryxBasePluginsGui.DbFileInput.DbFileInput`	`InputDataTool`	In/Out
`AlteryxBasePluginsGui.DbFileOutput.DbFileOutput`	`OutputDataTool`	In/Out
`AlteryxBasePluginsGui.TextInput.TextInput`	`TextInputTool`	In/Out
`AlteryxBasePluginsGui.BrowseV2.BrowseV2`	`BrowseTool`	In/Out
`AlteryxBasePluginsGui.Filter.Filter`	`FilterTool`	Preparation
`AlteryxBasePluginsGui.Formula.Formula`	`FormulaTool`	Preparation
`AlteryxBasePluginsGui.AlteryxSelect.AlteryxSelect`	`SelectTool`	Preparation
`AlteryxBasePluginsGui.Sort.Sort`	`SortTool`	Preparation
`AlteryxBasePluginsGui.Sample.Sample`	`SampleTool`	Preparation
`AlteryxBasePluginsGui.Unique.Unique`	`UniqueTool`	Preparation
`AlteryxBasePluginsGui.GenerateRows.GenerateRows`	`GenerateRowsTool`	Preparation
`AlteryxBasePluginsGui.MultiRowFormula.MultiRowFormula`	`MultiRowFormulaTool`	Preparation
`AlteryxBasePluginsGui.MultiFieldFormula.MultiFieldFormula`	`MultiFieldFormulaTool`	Preparation
`AlteryxBasePluginsGui.RecordID.RecordID`	`RecordIDTool`	Preparation
`AlteryxBasePluginsGui.AutoField.AutoField`	`AutoFieldTool`	Preparation
`AlteryxBasePluginsGui.Join.Join`	`JoinTool`	Join
`AlteryxBasePluginsGui.JoinMultiple.JoinMultiple`	`JoinMultipleTool`	Join
`AlteryxBasePluginsGui.Union.Union`	`UnionTool`	Join
`AlteryxBasePluginsGui.AppendFields.AppendFields`	`AppendFieldsTool`	Join
`AlteryxBasePluginsGui.FindReplace.FindReplace`	`FindReplaceTool`	Join
`AlteryxBasePluginsGui.DateTime.DateTime`	`DateTimeTool`	Parse
`AlteryxBasePluginsGui.RegEx.RegEx`	`RegExTool`	Parse
`AlteryxBasePluginsGui.TextToColumns.TextToColumns`	`TextToColumnsTool`	Parse
`AlteryxSpatialPluginsGui.Summarize.Summarize`	`SummarizeTool`	Transform
`AlteryxBasePluginsGui.CrossTab.CrossTab`	`CrossTabTool`	Transform
`AlteryxBasePluginsGui.Transpose.Transpose`	`TransposeTool`	Transform
`AlteryxGuiToolkit.ToolContainer.ToolContainer`	`PassthroughTool`	Documentation
`AlteryxGuiToolkit.TextBox.TextBox`	`NullTool`	Documentation

5. Data Model

5.1 Alteryx → Python Type Mapping

Alteryx Type	Polars dtype	DuckDB type	Notes
`Bool`	`pl.Boolean`	`BOOLEAN`
`Byte`	`pl.UInt8`	`TINYINT UNSIGNED`	0–255
`Int16`	`pl.Int16`	`SMALLINT`
`Int32`	`pl.Int32`	`INTEGER`
`Int64`	`pl.Int64`	`BIGINT`
`Float`	`pl.Float32`	`FLOAT`
`Double`	`pl.Float64`	`DOUBLE`
`FixedDecimal`	`pl.Decimal(p,s)`	`DECIMAL(p,s)`	size="19.2" → DECIMAL(19,2)
`String`	`pl.String`	`VARCHAR`	fixed max length
`V_String`	`pl.String`	`VARCHAR`	variable length
`WString`	`pl.String`	`VARCHAR`	wide string
`V_WString`	`pl.String`	`VARCHAR`	variable wide string
`Date`	`pl.Date`	`DATE`
`Time`	`pl.Time`	`TIME`
`DateTime`	`pl.Datetime`	`TIMESTAMP`
`SpatialObj`	`pl.String`	`VARCHAR`	GeoJSON string; skip in non-spatial mode
`Blob`	`pl.Binary`	`BLOB`

5.2 Internal Frame Type

All frames are passed between tools as polars.DataFrame. DuckDB is used for:

Reading/writing external files (CSV, Parquet, XLSX via duckdb.read_csv, read_parquet, etc.)
Complex SQL generation (joins, aggregates, window functions)
Expression evaluation where transpilation to DuckDB SQL is simpler than Polars

Conversion helpers:

import polars as pl
import duckdb

def polars_to_duckdb(df: pl.DataFrame, name: str, con: duckdb.DuckDBPyConnection):
    con.register(name, df.to_arrow())

def duckdb_to_polars(con: duckdb.DuckDBPyConnection, sql: str) -> pl.DataFrame:
    return pl.from_arrow(con.execute(sql).arrow())

6. Core Engine

6.1 Parser (`engine/parser.py`)

from dataclasses import dataclass, field
from typing import Dict, List, Optional
import xml.etree.ElementTree as ET

@dataclass
class FieldDef:
    name: str
    type: str
    size: Optional[int] = None
    source: Optional[str] = None

@dataclass
class NodeDef:
    tool_id: int
    plugin: str
    config: ET.Element          # raw <Configuration> element
    output_schema: List[FieldDef] = field(default_factory=list)
    position: tuple = (0, 0)

@dataclass
class ConnectionDef:
    origin_id: int
    origin_anchor: str          # e.g. "Output", "True", "J"
    dest_id: int
    dest_anchor: str            # e.g. "Input", "Left", "#1"
    name: Optional[str] = None
    wireless: bool = False

@dataclass
class WorkflowGraph:
    nodes: Dict[int, NodeDef]
    connections: List[ConnectionDef]
    properties: ET.Element      # <Properties> element

def parse_workflow(path: str) -> WorkflowGraph:
    """Parse .yxmd XML into WorkflowGraph."""
    tree = ET.parse(path)
    root = tree.getroot()
    nodes = {}
    for node_el in root.iter("Node"):   # iter flattens ChildNodes
        tid = int(node_el.attrib["ToolID"])
        gui = node_el.find("GuiSettings")
        plugin = gui.attrib.get("Plugin", "") if gui is not None else ""
        config = node_el.find("Properties/Configuration")
        pos_el = gui.find("Position") if gui is not None else None
        pos = (int(pos_el.attrib.get("x",0)), int(pos_el.attrib.get("y",0))) if pos_el is not None else (0,0)
        schema = _parse_schema(node_el)
        nodes[tid] = NodeDef(tid, plugin, config, schema, pos)
    connections = []
    for conn_el in root.findall("Connections/Connection"):
        orig = conn_el.find("Origin")
        dest = conn_el.find("Destination")
        connections.append(ConnectionDef(
            origin_id=int(orig.attrib["ToolID"]),
            origin_anchor=orig.attrib.get("Connection","Output"),
            dest_id=int(dest.attrib["ToolID"]),
            dest_anchor=dest.attrib.get("Connection","Input"),
            name=conn_el.attrib.get("name"),
            wireless=conn_el.attrib.get("Wireless","False")=="True"
        ))
    props = root.find("Properties")
    return WorkflowGraph(nodes, connections, props)

def _parse_schema(node_el: ET.Element) -> List[FieldDef]:
    fields = []
    for f in node_el.findall(".//MetaInfo/RecordInfo/Field"):
        size_str = f.attrib.get("size")
        size = int(float(size_str)) if size_str else None
        fields.append(FieldDef(f.attrib["name"], f.attrib.get("type","V_String"), size))
    return fields

6.2 Executor (`engine/executor.py`)

from collections import defaultdict, deque
import polars as pl
from .graph import WorkflowGraph, ConnectionDef
from .context import RunContext
from tools import get_tool_class

def execute(graph: WorkflowGraph, ctx: RunContext):
    """Topological BFS execution."""
    # Build adjacency
    in_degree = defaultdict(int)
    successors = defaultdict(list)   # tool_id → [(conn, dest_id)]
    predecessors = defaultdict(list) # tool_id → [(conn, origin_id)]
    for c in graph.connections:
        in_degree[c.dest_id] += 1
        successors[c.origin_id].append(c)
        predecessors[c.dest_id].append(c)
    for tid in graph.nodes:
        if tid not in in_degree:
            in_degree[tid] = 0

    # Output buffers: (tool_id, anchor) → DataFrame
    outputs: dict[tuple, pl.DataFrame] = {}

    queue = deque([tid for tid, deg in in_degree.items() if deg == 0])
    while queue:
        tid = queue.popleft()
        node = graph.nodes[tid]
        tool_cls = get_tool_class(node.plugin)
        if tool_cls is None:
            # Unsupported / documentation tool — pass through if single input
            _passthrough(tid, predecessors, outputs, successors, in_degree, queue)
            continue
        tool = tool_cls(node, ctx)
        # Gather inputs: dict of anchor → DataFrame
        inputs = {}
        for c in predecessors[tid]:
            df = outputs.get((c.origin_id, c.origin_anchor))
            if df is not None:
                inputs[c.dest_anchor] = df
        # Execute
        result = tool.execute(inputs)   # returns dict[anchor, DataFrame]
        for anchor, df in result.items():
            outputs[(tid, anchor)] = df
        # Decrement in-degree of successors
        for c in successors[tid]:
            in_degree[c.dest_id] -= 1
            if in_degree[c.dest_id] == 0:
                queue.append(c.dest_id)
    return outputs

6.3 Base Tool (`tools/base.py`)

from abc import ABC, abstractmethod
from typing import Dict
import polars as pl
import xml.etree.ElementTree as ET
from engine.graph import NodeDef
from engine.context import RunContext

class BaseTool(ABC):
    def __init__(self, node: NodeDef, ctx: RunContext):
        self.node = node
        self.ctx = ctx
        self.config = node.config  # ET.Element

    @abstractmethod
    def execute(self, inputs: Dict[str, pl.DataFrame]) -> Dict[str, pl.DataFrame]:
        """
        inputs: dict of anchor_name → DataFrame
        returns: dict of anchor_name → DataFrame
        """

    def _cfg(self, xpath: str, default=None):
        """Helper: get text of config sub-element."""
        el = self.config.find(xpath) if self.config is not None else None
        return el.text if el is not None else default

    def _cfg_attr(self, xpath: str, attr: str, default=None):
        el = self.config.find(xpath) if self.config is not None else None
        return el.attrib.get(attr, default) if el is not None else default

7. Tool Implementations

7.1 InputData (`AlteryxBasePluginsGui.DbFileInput.DbFileInput`)

XML Configuration:

<Configuration>
  <File OutputFileName="" FileFormat="19" SearchSubDirs="False" RecordLimit="50">
    path/to/file.csv
  </File>
  <FormatSpecificOptions>
    <Delimeter>,</Delimeter>
    <HeaderRow>True</HeaderRow>
    <ImportLine>1</ImportLine>        <!-- 1-based line to start reading -->
    <CodePage>28591</CodePage>
  </FormatSpecificOptions>
</Configuration>

File path syntax:

path/to/file.csv — plain file
path/file.xlsx|||``SheetName$`` — Excel sheet (triple pipe separator)
path/file.xlsx|||``<List of Sheet Names>`` — returns column: Sheet Names
path/file.xlsx|||``NamedRange`` — named range

FileFormat codes (partial):

Code	Format
0	CSV / delimited text
19	YXDB (Alteryx native)
25	Excel (.xlsx)
6	Fixed-width

Implementation strategy:

class InputDataTool(BaseTool):
    def execute(self, inputs):
        file_el = self.config.find("File")
        raw_path = file_el.text.strip()
        fmt = int(file_el.attrib.get("FileFormat","0"))
        record_limit = file_el.attrib.get("RecordLimit","") or None
        limit = int(record_limit) if record_limit else None
        opts = self.config.find("FormatSpecificOptions") or ET.Element("x")

        # Resolve relative path against workflow directory
        path, sheet = self._parse_path(raw_path)
        df = self._read(path, fmt, sheet, opts, limit)
        return {"Output": df}

    def _parse_path(self, raw):
        if "|||" in raw:
            path, sheet = raw.split("|||", 1)
            return path.strip(), sheet.strip().strip("`")
        return raw.strip(), None

    def _read(self, path, fmt, sheet, opts, limit):
        import duckdb, polars as pl
        con = self.ctx.duckdb_con
        if fmt == 0:  # CSV
            delim = opts.findtext("Delimeter", ",")
            header = opts.findtext("HeaderRow","True") == "True"
            skip = max(0, int(opts.findtext("ImportLine","1") or 1) - 1)
            df = pl.read_csv(path, separator=delim, has_header=header, skip_rows=skip)
        elif fmt == 25:  # Excel
            df = pl.read_excel(path, sheet_name=sheet)
        elif fmt == 19:  # YXDB — use DuckDB + yxdb reader or fallback
            raise NotImplementedError("YXDB: use yxdb-py library")
        else:
            df = pl.read_csv(path)  # best-effort fallback
        if limit:
            df = df.head(limit)
        return df

YXDB support: Use the yxdb Python package (pip install yxdb) which reads Alteryx's native binary format.

7.2 TextInput (`AlteryxBasePluginsGui.TextInput.TextInput`)

XML Configuration:

<Configuration>
  <NumRows value="6" />
  <Fields>
    <Field name="CustomerID" />
    <Field name="FirstName" />
  </Fields>
  <Data>
    <r>
      <c>49</c>
      <c>Thomas</c>
    </r>
    <r>
      <c>456</c>
      <c></c>   <!-- empty → null -->
    </r>
  </Data>
</Configuration>

Implementation:

class TextInputTool(BaseTool):
    def execute(self, inputs):
        fields = [f.attrib["name"] for f in self.config.findall("Fields/Field")]
        rows = []
        for r in self.config.findall("Data/r"):
            cells = r.findall("c")
            row = {}
            for i, f in enumerate(fields):
                el = cells[i] if i < len(cells) else None
                text = el.text if el is not None else None
                row[f] = text if text != "" else None
            rows.append(row)
        df = pl.DataFrame(rows, schema={f: pl.String for f in fields})
        return {"Output": df}

Note: All columns are String unless downstream Select/Formula coerces them.

7.3 OutputData (`AlteryxBasePluginsGui.DbFileOutput.DbFileOutput`)

XML Configuration:

<Configuration>
  <File MaxRecords="" FileFormat="0">%temp%output.csv</File>
  <FormatSpecificOptions>
    <Delimeter>,</Delimeter>
    <HeaderRow>True</HeaderRow>
    <LineEndStyle>CRLF</LineEndStyle>
    <CodePage>28591</CodePage>
  </FormatSpecificOptions>
  <MultiFile value="False" />
  <!-- Multi-file split by field value: -->
  <MultiFile value="True" />
  <MultiFileType>Suffix</MultiFileType>     <!-- Suffix | Prefix -->
  <MultiFileField>Region</MultiFileField>
  <KeepField value="True" />
</Configuration>

Implementation notes:

Resolve %temp% to tempfile.gettempdir().
If MultiFile value="True": partition by MultiFileField, write one file per unique value, append/prepend value to filename.
If MaxRecords non-empty: split into chunks of that size, auto-number extra files with _1, _2 suffix.

7.4 Browse (`AlteryxBasePluginsGui.BrowseV2.BrowseV2`)

Behaviour: Passthrough — output equals input. In the runner, log a preview (first N rows) to stdout or a callback.

class BrowseTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        if self.ctx.verbose:
            print(f"[Browse ToolID={self.node.tool_id}]\n{df.head(20)}")
        return {"Output": df}

7.5 Filter (`AlteryxBasePluginsGui.Filter.Filter`)

XML Configuration — two modes:

Mode: Simple (Basic filter)

<Configuration>
  <Expression>[CustomerID] &gt; 30</Expression>
  <Mode>Simple</Mode>
  <Simple>
    <Operator>&gt;</Operator>
    <Field>CustomerID</Field>
    <Operands>
      <Operand>30</Operand>
      <DateType>fixed</DateType>        <!-- fixed | today | tomorrow | yesterday -->
      <IgnoreTimeInDateTime>True</IgnoreTimeInDateTime>
      <PeriodType>days</PeriodType>     <!-- for period operators -->
      <PeriodCount>2</PeriodCount>
    </Operands>
  </Simple>
</Configuration>

Mode: Custom (expression)

<Configuration>
  <Expression><![CDATA[[Region]=="South" OR REGEX_Match(UPPERCASE([Region]), ".*WEST")]]></Expression>
  <Mode>Custom</Mode>
</Configuration>

Anchors: Input → True (rows matching), False (rows not matching).

Operator mapping (Simple mode):

Alteryx Operator	Polars equivalent
`=` / `Equals`	`col == value`
`!=` / `Does not equal`	`col != value`
`>`	`col > value`
`>=`	`col >= value`
`<`	`col < value`
`<=`	`col <= value`
`IsNull`	`col.is_null()`
`IsNotNull`	`col.is_not_null()`
`Contains`	`col.str.contains(value)`
`Does not contain`	`~col.str.contains(value)`
`Is empty`	`col.is_null()
`Is not empty`	`col.is_not_null() & (col != "")`
`Comes before (<)`	`col < value` (string compare)
`Comes after (>)`	`col > value` (string compare)
`Is true`	`col == True`
`Is false`	`col == False`
`Range`	`(col >= start) & (col <= end)`
`PeriodAfter`	date window around anchor date
`PeriodBefore`	date window before anchor date

Date dynamic values:

today → datetime.date.today()
tomorrow → today + timedelta(1)
yesterday → today - timedelta(1)

Custom mode: transpile the <Expression> text via expression/transpiler.py (see §8).

Implementation:

class FilterTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        mode = self._cfg("Mode", "Custom")
        if mode == "Simple":
            mask = self._build_simple_mask(df)
        else:
            expr_text = self._cfg("Expression","True")
            mask = self.ctx.transpiler.eval_mask(df, expr_text)
        return {
            "True": df.filter(mask),
            "False": df.filter(~mask),
        }

7.6 Formula (`AlteryxBasePluginsGui.Formula.Formula`)

XML Configuration:

<Configuration>
  <FormulaFields>
    <FormulaField
      expression="IF [Latitude] &gt; 39.7 THEN &quot;North&quot; ELSE &quot;South&quot; ENDIF"
      field="Region"
      size="1073741823"
      type="V_WString" />
    <FormulaField
      expression="ROUND([Spend]/[Visits],1)"
      field="AverageSpendPerVisit"
      size="19.2"
      type="FixedDecimal" />
  </FormulaFields>
</Configuration>

Behaviour:

Each <FormulaField> is applied sequentially; later expressions can reference columns created by earlier ones.
If field matches an existing column: update in place.
If field is new: append as new column.
Expression HTML entities: > → >, < → <, " → ", 
 → newline.

Implementation:

class FormulaTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        for ff in self.config.findall("FormulaFields/FormulaField"):
            expr_text = ff.attrib["expression"]
            field = ff.attrib["field"]
            dtype = self.ctx.type_mapper.map(ff.attrib.get("type","V_WString"),
                                              ff.attrib.get("size"))
            series = self.ctx.transpiler.eval_series(df, expr_text, field, dtype)
            if field in df.columns:
                df = df.with_columns(series.alias(field))
            else:
                df = df.with_columns(series.alias(field))
        return {"Output": df}

7.7 Select (`AlteryxBasePluginsGui.AlteryxSelect.AlteryxSelect`)

XML Configuration:

<Configuration>
  <OrderChanged value="True" />
  <CommaDecimal value="False" />
  <SelectFields>
    <SelectField field="CustomerID" selected="True" rename="Customer ID" description="..." />
    <SelectField field="Visits" selected="True" type="Int16" size="2" />
    <SelectField field="*Unknown" selected="True" />   <!-- pass-through unknown cols -->
  </SelectFields>
</Configuration>

Behaviour:

selected="False": drop the column.
rename attribute: rename column.
type + size attribute on SelectField: cast column to new type.
*Unknown row: if selected="True", pass through any incoming columns not explicitly listed; if selected="False", drop them.
OrderChanged="True": output columns in the order listed in <SelectFields>.

Implementation:

class SelectTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        fields = self.config.findall("SelectFields/SelectField")
        keep_unknown = False
        explicit = {}  # original_name → (selected, rename, dtype)
        for sf in fields:
            name = sf.attrib["field"]
            if name == "*Unknown":
                keep_unknown = sf.attrib.get("selected","True") == "True"
                continue
            explicit[name] = {
                "selected": sf.attrib.get("selected","True") == "True",
                "rename": sf.attrib.get("rename", name),
                "type": sf.attrib.get("type"),
                "size": sf.attrib.get("size"),
            }
        order_changed = self.config.attrib.get("OrderChanged","False") == "True"
        # Build column list in config order if OrderChanged, else original order
        result_cols = []
        processed = set()
        for sf in fields:
            name = sf.attrib["field"]
            if name == "*Unknown": continue
            if name not in df.columns: continue
            meta = explicit[name]
            if not meta["selected"]: continue
            processed.add(name)
            col = pl.col(name)
            if meta["type"]:
                col = col.cast(self.ctx.type_mapper.map(meta["type"], meta["size"]))
            result_cols.append(col.alias(meta["rename"]))
        if keep_unknown:
            for c in df.columns:
                if c not in processed:
                    result_cols.append(pl.col(c))
        if not order_changed:
            # respect incoming column order
            result_cols = sorted(result_cols, key=lambda e: df.columns.index(e._pyexpr.root_names()[0]) if hasattr(e, '_pyexpr') else 999)
        return {"Output": df.select(result_cols)}

7.8 Sort (`AlteryxBasePluginsGui.Sort.Sort`)

XML Configuration:

<Configuration>
  <SortInfo locale="0">
    <Field field="LastName" order="Ascending" />
    <Field field="FirstName" order="Ascending" />
  </SortInfo>
</Configuration>

Attributes:

order: "Ascending" | "Descending"
locale: 0 = default byte-order sort; 1033 = dictionary order (natural number sort for strings, English locale)

Implementation:

class SortTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        sort_fields = self.config.findall("SortInfo/Field")
        by = [f.attrib["field"] for f in sort_fields]
        descending = [f.attrib.get("order","Ascending") == "Descending" for f in sort_fields]
        locale = self.config.findtext("SortInfo[@locale]") or "0"
        # locale 1033 = natural sort (numeric strings as numbers)
        # Polars: use sort with maintain_order=True for stability
        df = df.sort(by=by, descending=descending, maintain_order=True)
        return {"Output": df}

Note: For locale="1033" (dictionary/natural order on string columns containing numbers), apply a Schwartzian transform: extract numeric prefix for sort, then restore original values.

7.9 Sample (`AlteryxBasePluginsGui.Sample.Sample`)

XML Configuration:

<Configuration>
  <Mode>First</Mode>   <!-- First | Last | Sample | Random | NPercent -->
  <N>3</N>
  <GroupFields orderChanged="False">
    <Field name="City" />
  </GroupFields>
</Configuration>

Modes:

Mode	Behaviour
`First`	Return first N rows (per group if GroupFields present)
`Last`	Return last N rows
`Sample`	Return 1 of every N rows (deterministic, not random)
`Random`	Each row has 1-in-N chance of inclusion (non-deterministic)
`NPercent`	Return first N% of rows

Implementation:

class SampleTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        mode = self._cfg("Mode","First")
        n = int(self._cfg("N","1"))
        group_fields = [f.attrib["name"] for f in self.config.findall("GroupFields/Field")]

        if not group_fields:
            return {"Output": self._sample_flat(df, mode, n)}
        # Grouped sampling
        parts = []
        for _, group_df in df.group_by(group_fields, maintain_order=True):
            parts.append(self._sample_flat(group_df, mode, n))
        return {"Output": pl.concat(parts)}

    def _sample_flat(self, df, mode, n):
        if mode == "First":
            return df.head(n)
        elif mode == "Last":
            return df.tail(n)
        elif mode == "Sample":
            indices = range(0, len(df), n)
            return df[list(indices)]
        elif mode == "Random":
            mask = [random.random() < (1/n) for _ in range(len(df))]
            return df.filter(mask)
        elif mode == "NPercent":
            count = max(1, int(len(df) * n / 100))
            return df.head(count)
        return df

7.10 Unique (`AlteryxBasePluginsGui.Unique.Unique`)

XML Configuration:

<Configuration>
  <UniqueFields>
    <Field name="LastName" />
    <Field name="FirstName" />
  </UniqueFields>
</Configuration>

Behaviour:

Group by the listed fields.
First occurrence of each group → Unique anchor output.
All subsequent duplicates → Duplicate anchor output.
Column order preserved.

Anchors: Input → Unique, Duplicate

Implementation:

class UniqueTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        key_fields = [f.attrib["name"] for f in self.config.findall("UniqueFields/Field")]
        df = df.with_row_index("_row_idx")
        first_idx = df.group_by(key_fields, maintain_order=True).agg(pl.col("_row_idx").first())["_row_idx"]
        unique_df = df.filter(pl.col("_row_idx").is_in(first_idx)).drop("_row_idx")
        dup_df = df.filter(~pl.col("_row_idx").is_in(first_idx)).drop("_row_idx")
        return {"Unique": unique_df, "Duplicate": dup_df}

7.11 Join (`AlteryxBasePluginsGui.Join.Join`)

XML Configuration:

<Configuration>
  <JoinByRecordPos value="False" />
  <!-- OR: join by field -->
  <SelectConfiguration>
    <Configuration outputConnection="J">
      <SelectFields>
        <!-- fields to include in J output -->
        <SelectField field="L_CustomerID" selected="True" />
        <SelectField field="R_OrderDate" selected="True" />
      </SelectFields>
    </Configuration>
    <Configuration outputConnection="L"> ... </Configuration>
    <Configuration outputConnection="R"> ... </Configuration>
  </SelectConfiguration>
</Configuration>

The join key pairs are stored as child elements:

<JoinFields>
  <JoinField Left="CustomerID" Right="CustomerID" />
</JoinFields>

Anchors:

Inputs: Left, Right
Outputs: J (inner join), L (left unmatched), R (right unmatched)

Column naming on J output:

If both inputs share a column name (other than join key): prefix with L_ and R_.
Join key columns: appear once (from Left input by default).

Implementation using DuckDB:

class JoinTool(BaseTool):
    def execute(self, inputs):
        left = inputs.get("Left", pl.DataFrame())
        right = inputs.get("Right", pl.DataFrame())
        by_pos = self._cfg_attr("JoinByRecordPos","value","False") == "True"
        con = self.ctx.duckdb_con
        con.register("_left", left.to_arrow())
        con.register("_right", right.to_arrow())

        if by_pos:
            left = left.with_row_index("_pos")
            right = right.with_row_index("_pos")
            # join on _pos
            join_keys = [("_pos","_pos")]
        else:
            join_keys = [(jf.attrib["Left"], jf.attrib["Right"])
                         for jf in self.config.findall("JoinFields/JoinField")]

        j_df, l_df, r_df = self._execute_join(left, right, join_keys, con)
        return {"J": j_df, "L": l_df, "R": r_df}

    def _execute_join(self, left, right, join_keys, con):
        # Build column lists with disambiguation
        l_cols = left.columns
        r_cols = right.columns
        key_l = [k[0] for k in join_keys]
        key_r = [k[1] for k in join_keys]
        # ... build SQL for inner, left anti, right anti
        # Inner join (J):
        on_clause = " AND ".join(f"l.{k[0]} = r.{k[1]}" for k in join_keys)
        j_sql = f"SELECT * FROM _left l INNER JOIN _right r ON {on_clause}"
        l_sql = f"SELECT l.* FROM _left l LEFT ANTI JOIN _right r ON {on_clause}"
        r_sql = f"SELECT r.* FROM _right r LEFT ANTI JOIN _left l ON {on_clause}"
        j_df = duckdb_to_polars(con, j_sql)
        l_df = duckdb_to_polars(con, l_sql)
        r_df = duckdb_to_polars(con, r_sql)
        return j_df, l_df, r_df

7.12 Union (`AlteryxBasePluginsGui.Union.Union`)

XML Configuration:

<Configuration>
  <Mode>Auto</Mode>   <!-- Auto | ByName | ByPosition -->
</Configuration>

Modes:

Auto / ByName: match columns by name; fill missing columns with NULL.
ByPosition: stack columns positionally regardless of name; use first input's column names.

Anchors: Multiple Input1, Input2, ... InputN; single Output.

Implementation:

class UnionTool(BaseTool):
    def execute(self, inputs):
        mode = self._cfg("Mode","Auto")
        # Sort input anchors: Input, Input1, Input2... or by numeric suffix
        sorted_keys = sorted(inputs.keys(), key=lambda k: int(k.replace("Input","") or 0))
        dfs = [inputs[k] for k in sorted_keys]
        if mode == "ByPosition":
            # Rename all to first df's columns
            names = dfs[0].columns
            renamed = [df.rename(dict(zip(df.columns, names))) for df in dfs]
            result = pl.concat(renamed, how="diagonal")
        else:  # ByName / Auto
            result = pl.concat(dfs, how="diagonal_relaxed")
        return {"Output": result}

7.13 Summarize (`AlteryxSpatialPluginsGui.Summarize.Summarize`)

XML Configuration:

<Configuration>
  <SummarizeFields>
    <SummarizeField field="Region" action="GroupBy" rename="Region" />
    <SummarizeField field="Spend" action="Sum" rename="Total_Spend" />
    <SummarizeField field="CustomerID" action="Count" rename="Num_Customers" />
    <SummarizeField field="Score" action="Avg" rename="Avg_Score" />
    <SummarizeField field="City" action="Concatenate" rename="Cities"
                    separator=", " order="Ascending" />
    <SummarizeField field="Visits" action="Percentile" rename="P50"
                    percentile="50" />
  </SummarizeFields>
</Configuration>

Action mapping:

Alteryx Action	DuckDB / Polars equivalent
`GroupBy`	`group_by` key
`Sum`	`pl.col(f).sum()`
`Count`	`pl.col(f).count()`
`Count Non Null`	`pl.col(f).drop_nulls().count()`
`Count Distinct`	`pl.col(f).n_unique()`
`Count Distinct Non Null`	`pl.col(f).drop_nulls().n_unique()`
`Count Null`	`pl.col(f).is_null().sum()`
`Min`	`pl.col(f).min()`
`Max`	`pl.col(f).max()`
`Avg`	`pl.col(f).mean()`
`Median`	`pl.col(f).median()`
`Std Deviation`	`pl.col(f).std()`
`Variance`	`pl.col(f).var()`
`Percentile`	`pl.col(f).quantile(p/100)`
`Concatenate`	`pl.col(f).sort().cast(str).str.join(sep)`
`First`	`pl.col(f).first()`
`Last`	`pl.col(f).last()`
`Mode`	custom UDF

Implementation:

class SummarizeTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        fields = self.config.findall("SummarizeFields/SummarizeField")
        group_fields = [f.attrib["field"] for f in fields if f.attrib.get("action")=="GroupBy"]
        agg_exprs = []
        for f in fields:
            action = f.attrib.get("action","GroupBy")
            field = f.attrib["field"]
            rename = f.attrib.get("rename", field)
            if action == "GroupBy": continue
            expr = self._build_agg(field, action, f.attrib)
            agg_exprs.append(expr.alias(rename))
        if group_fields:
            result = df.group_by(group_fields, maintain_order=True).agg(agg_exprs)
        else:
            result = df.select(agg_exprs)
        return {"Output": result}

7.14 JoinMultiple (`AlteryxBasePluginsGui.JoinMultiple.JoinMultiple`)

XML Configuration:

<Configuration>
  <JoinByRecPos value="True" />
  <OutputJoinOnly value="False" />
  <SelectConfiguration>
    <Configuration outputConnection="Output">
      <SelectFields>
        <SelectField field="Input_#1_CustomerID" selected="True" />
        <SelectField field="Input_#2_JoinDate" selected="True" />
        <SelectField field="*Unknown" selected="True" />
      </SelectFields>
    </Configuration>
  </SelectConfiguration>
</Configuration>

Behaviour:

Joins N inputs simultaneously (by position or by field).
Column names from each input are prefixed with Input_#N_ to disambiguate.
Single Output anchor.
OutputJoinOnly="False": include all rows (outer join on all inputs).

7.15 AppendFields (`AlteryxBasePluginsGui.AppendFields.AppendFields`)

Behaviour: Cartesian product of a small "Source" input appended to every row of a large "Target" input. One-to-many: every Target row gets one or more Source rows' fields added.

Anchors: Target (large), Source (small) → Output

Implementation: Cross join if source is small; otherwise warn.

7.16 CrossTab (`AlteryxBasePluginsGui.CrossTab.CrossTab`)

XML Configuration:

<Configuration>
  <GroupFields>
    <Field name="Region" />
  </GroupFields>
  <HeaderField field="Year" />
  <DataField field="Sales" method="Sum" />
</Configuration>

Behaviour: Pivot table: rows = GroupBy values, columns = unique values of HeaderField, cell = aggregate of DataField.

Implementation using DuckDB PIVOT:

class CrossTabTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        con = self.ctx.duckdb_con
        con.register("_ct_input", df.to_arrow())
        header = self._cfg("HeaderField/@field") or self.config.find("HeaderField").attrib["field"]
        data = self.config.find("DataField")
        data_field = data.attrib["field"]
        method = data.attrib.get("method","Sum").upper()
        groups = [f.attrib["name"] for f in self.config.findall("GroupFields/Field")]
        group_clause = ", ".join(groups)
        # DuckDB PIVOT
        sql = f"""
        PIVOT _ct_input ON "{header}"
        USING {method}("{data_field}")
        GROUP BY {group_clause}
        """
        result = duckdb_to_polars(con, sql)
        return {"Output": result}

7.17 Transpose (`AlteryxBasePluginsGui.Transpose.Transpose`)

XML Configuration:

<Configuration>
  <KeyFields>
    <Field name="CustomerID" />
  </KeyFields>
  <DataFields>
    <Field name="Visits" />
    <Field name="Spend" />
  </DataFields>
</Configuration>

Behaviour: Un-pivot (melt). Key fields remain; each Data field becomes a row with Name (field name) and Value columns.

Implementation:

class TransposeTool(BaseTool):
    def execute(self, inputs):
        df = inputs.get("Input", pl.DataFrame())
        keys = [f.attrib["name"] for f in self.config.findall("KeyFields/Field")]
        data_cols = [f.attrib["name"] for f in self.config.findall("DataFields/Field")]
        result = df.melt(id_vars=keys, value_vars=data_cols,
                         variable_name="Name", value_name="Value")
        return {"Output": result}

7.18 DateTime Parse (`AlteryxBasePluginsGui.DateTime.DateTime`)

XML Configuration:

<Configuration>
  <Format>%d/%m/%Y</Format>
  <InputField>DateString</InputField>
  <OutputField>ParsedDate</OutputField>
  <InputType>String</InputType>
  <OutputType>Date</OutputType>
</Configuration>

Implementation: pl.col(input).str.to_date(format) or str.to_datetime(format).

7.19 RegEx (`AlteryxBasePluginsGui.RegEx.RegEx`)

XML Configuration:

<Configuration>
  <Field>EmailAddress</Field>
  <Expression>(\w+)@(\w+)\.(\w+)</Expression>
  <Replace>
    <ReplaceString>$1_at_$2</ReplaceString>
  </Replace>
  <Method>Match</Method>    <!-- Match | Replace | Parse | Token -->
  <OutputField>Matched</OutputField>
  <FullMatch value="True" />
  <CaseInsensitive value="False" />
</Configuration>

Methods:

Match: boolean column; True if pattern matches.
Replace: replace with ReplaceString (use $1, $2 for capture groups → \1, \2 in Python).
Parse: extract capture groups into new columns (one per group).
Token: split by pattern, return one row per token.

7.20 TextToColumns (`AlteryxBasePluginsGui.TextToColumns.TextToColumns`)

XML Configuration:

<Configuration>
  <Field>AddressField</Field>
  <Delimiter>,</Delimiter>
  <NumCols value="3" />
  <RootName>Address_</RootName>
  <SplitToRows value="False" />
</Configuration>

Behaviour:

SplitToRows="False": split into NumCols new columns named {RootName}1, {RootName}2, etc.
SplitToRows="True": one row per token.

7.21 GenerateRows (`AlteryxBasePluginsGui.GenerateRows.GenerateRows`)

XML Configuration:

<Configuration>
  <UpdateField value="False" />         <!-- True = update existing field, False = create -->
  <CreateField_Name>JoinDate</CreateField_Name>
  <CreateField_Type>Date</CreateField_Type>
  <Expression_Init>DateTimeFormat(DateTimeNow(),"%Y-%m-%d")</Expression_Init>
  <Expression_Cond>[JoinDate] &lt;= DateTimeAdd("2025-01-01", 5, "Days")</Expression_Cond>
  <Expression_Loop>DateTimeAdd([JoinDate], 1, "days")</Expression_Loop>
  <RecordCount value="0" />             <!-- 0 = unlimited (use condition) -->
</Configuration>

Behaviour: Generate rows by:

Initialise the target field using Expression_Init.
While Expression_Cond is true: a. Emit current row. b. Update field with Expression_Loop.

Implementation note: Because GenerateRows typically has no input (or one input row acts as a seed), implement as an iterative Python loop evaluating the transpiled expressions.

7.22 MultiRowFormula (`AlteryxBasePluginsGui.MultiRowFormula.MultiRowFormula`)

XML Configuration:

<Configuration>
  <FormulaField field="RunningTotal" expression="[Row-1:RunningTotal] + [Visits]"
    type="Double" size="8" />
  <NumRows value="1" />
  <GroupByFields>
    <Field name="Region" />
  </GroupByFields>
</Configuration>

Expression syntax:

[Row-1:FieldName] → previous row's value of FieldName (null at boundary).
[Row+1:FieldName] → next row's value.
[Row-N:FieldName] → N rows back.

Implementation: Use Polars shift() for lookback/lookahead, or DuckDB window functions (LAG, LEAD).

7.23 RecordID (`AlteryxBasePluginsGui.RecordID.RecordID`)

XML Configuration:

<Configuration>
  <Field>RecordID</Field>
  <StartValue>1</StartValue>
  <FieldType>Int32</FieldType>
</Configuration>

Implementation: df.with_row_index(name=field, offset=start_value - 1) then cast to int type.

8. Expression Transpiler

The expression/transpiler.py module converts Alteryx expression syntax into either:

A Polars expression (pl.Expr) for simple column-level operations.
A DuckDB SQL fragment for complex/multi-step cases.

8.1 Syntax Differences

Alteryx	Python/Polars/DuckDB
`[ColumnName]`	`pl.col("ColumnName")` / `"ColumnName"`
`"string literal"`	`'string literal'`
`IF ... THEN ... ELSEIF ... ELSE ... ENDIF`	`pl.when(...).then(...).when(...).then(...).otherwise(...)` / `CASE WHEN`
`IIF(cond, true_val, false_val)`	`pl.when(cond).then(true_val).otherwise(false_val)`
`IsNull([Field])`	`pl.col("Field").is_null()`
`!IsNull([Field])`	`pl.col("Field").is_not_null()`
`NULL()`	`None` / `pl.lit(None)`
`AND` / `OR` / `NOT`	`&` / `\|` / `~` (Polars) or `AND`/`OR`/`NOT` (SQL)
`==` (equality)	`==`
`!=`	`!=`
Row reference `[Row-1:Field]`	`pl.col("Field").shift(1)`

8.2 Built-in Function Mapping

String functions:

Alteryx	DuckDB SQL / Polars
`Uppercase([F])`	`UPPER(F)` / `pl.col(F).str.to_uppercase()`
`Lowercase([F])`	`LOWER(F)` / `pl.col(F).str.to_lowercase()`
`Titlecase([F])`	custom: capitalise each word
`Trim([F])`	`TRIM(F)`
`LTrim([F])`	`LTRIM(F)`
`RTrim([F])`	`RTRIM(F)`
`Length([F])`	`LENGTH(F)` / `pl.col(F).str.len_chars()`
`Left([F],n)`	`LEFT(F,n)` / `pl.col(F).str.slice(0,n)`
`Right([F],n)`	`RIGHT(F,n)`
`Substring([F],start,len)`	`SUBSTR(F,start,len)` (1-indexed)
`FindString([F],pattern)`	`INSTR(F,pattern)` (1-indexed, 0=not found)
`ReplaceChar([F],old,new)`	`REPLACE(F,old,new)`
`StringToDate([F],fmt)`	`STRPTIME(F,fmt)`
`ToString([num],decimals)`	`PRINTF('%.Nf', num)`
`Contains([F],str)`	`CONTAINS(F,str)`
`StartsWith([F],str)`	`STARTS_WITH(F,str)`
`EndsWith([F],str)`	`ENDS_WITH(F,str)`
`REGEX_Match([F],pat)`	`REGEXP_MATCHES(F,pat)`
`REGEX_Replace([F],pat,repl)`	`REGEXP_REPLACE(F,pat,repl)`
`REGEX_CountMatches([F],pat)`	custom UDF

Math functions:

Alteryx	DuckDB / Polars
`ABS([F])`	`ABS(F)`
`CEIL([F])`	`CEIL(F)`
`FLOOR([F])`	`FLOOR(F)`
`ROUND([F],n)`	`ROUND(F,n)`
`SQRT([F])`	`SQRT(F)`
`POW([F],n)`	`POWER(F,n)`
`LOG([F])`	`LN(F)`
`LOG10([F])`	`LOG10(F)`
`MOD([F],n)`	`F % n`
`MIN([A],[B])`	`LEAST(A,B)`
`MAX([A],[B])`	`GREATEST(A,B)`
`RandInt(n)`	`FLOOR(RANDOM()*n)`

Date/Time functions:

Alteryx	DuckDB / Polars
`DateTimeNow()`	`NOW()` / `datetime.datetime.now()`
`DateTimeToday()`	`CURRENT_DATE`
`DateTimeAdd([D],n,"days")`	`D + INTERVAL n DAY`
`DateTimeDiff([D1],[D2],"days")`	`DATEDIFF('day', D2, D1)`
`DateTimeFormat([D],fmt)`	`STRFTIME(D, fmt)`
`ToDate([D])`	`CAST(D AS DATE)`
`DateTimeYear([D])`	`YEAR(D)`
`DateTimeMonth([D])`	`MONTH(D)`
`DateTimeDay([D])`	`DAY(D)`
`DateTimeHour([D])`	`HOUR(D)`

Conditional:

Alteryx	DuckDB
`IF [F] > 0 THEN "pos" ELSE "neg" ENDIF`	`CASE WHEN F > 0 THEN 'pos' ELSE 'neg' END`
`IIF([F]>0, "pos", "neg")`	`IF(F>0, 'pos', 'neg')`
`Switch([F], default, v1, r1, v2, r2)`	`CASE F WHEN v1 THEN r1 WHEN v2 THEN r2 ELSE default END`

8.3 Transpiler Implementation Strategy

Use a recursive descent parser or a grammar-based approach (e.g. lark-parser or pyparsing).

Recommended approach:

Tokenise the expression (handle [column], string literals, function calls, operators, keywords).
Build an AST.
Walk the AST and emit DuckDB SQL or Polars expressions.
For eval_mask(df, expr): register df as a DuckDB view, run SELECT *, ({sql_expr}) AS _mask FROM df, return the boolean series.
For eval_series(df, expr, field, dtype): run SELECT ({sql_expr}) AS {field} FROM df.

Fallback: If an expression cannot be transpiled, raise UnsupportedExpressionError with the original expression text.

9. RunContext

import duckdb
import tempfile
from pathlib import Path

class RunContext:
    def __init__(self, workflow_dir: str, verbose: bool = False):
        self.workflow_dir = Path(workflow_dir)
        self.verbose = verbose
        self.duckdb_con = duckdb.connect(":memory:")
        self.temp_dir = Path(tempfile.mkdtemp())
        self.transpiler = ExpressionTranspiler(self.duckdb_con)
        self.type_mapper = TypeMapper()
        self.constants: dict = {}   # workflow-level constants from <Properties>

    def resolve_path(self, path: str) -> Path:
        """Resolve relative paths against workflow directory, expand %temp%."""
        path = path.replace("%temp%", str(self.temp_dir) + "/")
        p = Path(path)
        if not p.is_absolute():
            p = self.workflow_dir / p
        return p

10. CLI

python -m alteryx_runner run <workflow.yxmd> [options]

Options:
  --output-dir PATH     Write output files to this directory (overrides workflow paths)
  --param KEY=VALUE     Set workflow constant
  --verbose             Print Browse tool results and execution log
  --dry-run             Parse and validate only; do not execute
  --format {json,csv,parquet}  Default output format for Browse nodes

Example:

python -m alteryx_runner run MyWorkflow.yxmd --verbose --output-dir ./results

11. Dependencies (`pyproject.toml`)

[project]
name = "alteryx-runner"
version = "0.1.0"
requires-python = ">=3.11"
dependencies = [
    "polars>=0.20",
    "duckdb>=0.10",
    "pyarrow>=14",
    "yxdb>=0.1",          # Alteryx YXDB binary format
    "openpyxl>=3.1",      # Excel read/write
    "lark>=1.1",          # Expression parser grammar
    "click>=8.0",         # CLI
]

[project.optional-dependencies]
dev = ["pytest", "pytest-cov", "ruff", "mypy"]

12. Test Strategy

Each tool should have:

A unit test loading the corresponding .yxmd fixture from tests/fixtures/.
Assertions on output schema (column names, dtypes).
Assertions on output data (row count, specific cell values).

Priority test fixtures (from uploaded files):

File	Tools covered
`Filter.yxmd`	TextInput, Filter (Simple+Custom), JoinMultiple, GenerateRows, Formula
`Formula.yxmd`	InputData (YXDB), Formula (static/conditional/modify/multi)
`Select.yxmd`	InputData, Select (simple/type-cast/rename-reorder/prefix)
`Sort.yxmd`	TextInput, Sort (single/multi/string-numeric/dictionary)
`Sample.yxmd`	InputData, Sample (First/Sample/Random/NPercent/Grouped)
`Unique.yxmd`	InputData, Unique
`Input_Data.yxmd`	InputData (CSV/Excel/sheets/named-ranges/record-limit)
`Output_Data.yxmd`	TextInput, OutputData (CSV/YXDB/multi-file/max-records)
`Browse.yxmd`	InputData, Browse (passthrough, profiling)
`Text_Input.yxmd`	TextInput

13. Known Limitations & Out-of-Scope

Spatial tools: SpatialObj columns are passed through as opaque strings; spatial operations (Buffer, Distance, etc.) are not implemented.
In-Database tools: The LockIn* plugin family (In-DB tools) requires a live database connection; not supported.
Macros (.yxmc): The EngineDll="Macro" setting triggers sub-workflow execution. Implement basic macro recursion but mark as best-effort.
Predictive tools (R-based .yxmc): Out of scope.
YXDB write: Writing .yxdb output requires the yxdb library's write API; fall back to Parquet if unavailable.
Gallery/Server connections: All SavedDataConnections and Gallery sources will raise NotImplementedError.
Report/Rendering tools: PortfolioPlugins* family is out of scope.
Wireless connections: Treated identically to wired connections.

14. Execution Example

Given Sort.yxmd from the uploaded fixtures:

TextInput (ToolID=64)
    ↓
Sort: CustomerID Ascending (ToolID=26)
    ↓ (no downstream in this example workflow)

The runner will:

Parse XML → WorkflowGraph with 4 Sort nodes all sourced from TextInput node 64.
Execute TextInput → DataFrame with columns: CustomerID, FirstName, LastName, Gender, JoinDate, Region, Score.
Execute Sort(26) → df.sort("CustomerID", descending=False).
Since no downstream connections exist (no Output/Browse), store results in the context.

15. XML Quick-Reference Card

Below is the distilled XML config shape for each implemented tool, as extracted from the uploaded .yxmd example files.

Filter (Simple)

<Configuration>
  <Expression>[CustomerID] &gt; 30</Expression>
  <Mode>Simple</Mode>
  <Simple>
    <Operator>&gt;</Operator>
    <Field>CustomerID</Field>
    <Operands><Operand>30</Operand><DateType>fixed</DateType></Operands>
  </Simple>
</Configuration>

Filter (Custom)

<Configuration>
  <Expression><![CDATA[[Region]=="South" OR REGEX_Match(UPPERCASE([Region]),".*WEST")]]></Expression>
  <Mode>Custom</Mode>
</Configuration>

Formula

<Configuration>
  <FormulaFields>
    <FormulaField expression="Titlecase([City])" field="City" size="256" type="String" />
    <FormulaField expression="IF [Lat] &gt; 39.7 THEN &quot;N&quot; ELSE &quot;S&quot; ENDIF"
                  field="Region" size="1073741823" type="V_WString" />
  </FormulaFields>
</Configuration>

Select

<Configuration>
  <OrderChanged value="True" />
  <CommaDecimal value="False" />
  <SelectFields>
    <SelectField field="CustomerID" selected="True" rename="Cust ID" description="PK" />
    <SelectField field="Visits" selected="True" type="Int16" size="2" />
    <SelectField field="*Unknown" selected="False" />
  </SelectFields>
</Configuration>

Sort

<Configuration>
  <SortInfo locale="0">
    <Field field="LastName" order="Ascending" />
    <Field field="FirstName" order="Descending" />
  </SortInfo>
</Configuration>

Sample

<Configuration>
  <Mode>First</Mode>
  <N>3</N>
  <GroupFields orderChanged="False">
    <Field name="City" />
  </GroupFields>
</Configuration>

Unique

<Configuration>
  <UniqueFields>
    <Field name="CustomerID" />
  </UniqueFields>
</Configuration>

InputData (CSV)

<Configuration>
  <File OutputFileName="" FileFormat="0" RecordLimit="50">path/to/file.csv</File>
  <FormatSpecificOptions>
    <Delimeter>,</Delimeter><HeaderRow>True</HeaderRow><ImportLine>1</ImportLine>
  </FormatSpecificOptions>
</Configuration>

InputData (Excel)

<Configuration>
  <File FileFormat="25">path/to/file.xlsx|||`SheetName$`</File>
  <FormatSpecificOptions>
    <FirstRowData>False</FirstRowData><ImportLine>1</ImportLine>
  </FormatSpecificOptions>
</Configuration>

OutputData (CSV)

<Configuration>
  <File MaxRecords="" FileFormat="0">%temp%output.csv</File>
  <FormatSpecificOptions>
    <Delimeter>,</Delimeter><HeaderRow>True</HeaderRow><LineEndStyle>CRLF</LineEndStyle>
  </FormatSpecificOptions>
  <MultiFile value="False" />
</Configuration>

TextInput

<Configuration>
  <NumRows value="3" />
  <Fields>
    <Field name="Col1" /><Field name="Col2" />
  </Fields>
  <Data>
    <r><c>val1</c><c>val2</c></r>
    <r><c>val3</c><c /></r>   <!-- empty → NULL -->
  </Data>
</Configuration>

55 KiB Raw Blame History Unescape Escape

Alteryx Open-Source Workflow Runner — Technical Specification

1. Project Overview

1.1 Design Principles

2. Repository Layout

3. .yxmd File Format

3.1 Top-Level Structure

3.2 Node Structure

3.3 Connection Structure

3.4 ChildNodes (Tool Containers)

4. Tool Registry

5. Data Model

5.1 Alteryx → Python Type Mapping

5.2 Internal Frame Type

6. Core Engine

6.1 Parser (engine/parser.py)

6.2 Executor (engine/executor.py)

6.3 Base Tool (tools/base.py)

7. Tool Implementations

7.1 InputData (AlteryxBasePluginsGui.DbFileInput.DbFileInput)

7.2 TextInput (AlteryxBasePluginsGui.TextInput.TextInput)

7.3 OutputData (AlteryxBasePluginsGui.DbFileOutput.DbFileOutput)

7.4 Browse (AlteryxBasePluginsGui.BrowseV2.BrowseV2)

7.5 Filter (AlteryxBasePluginsGui.Filter.Filter)

7.6 Formula (AlteryxBasePluginsGui.Formula.Formula)

7.7 Select (AlteryxBasePluginsGui.AlteryxSelect.AlteryxSelect)

7.8 Sort (AlteryxBasePluginsGui.Sort.Sort)

7.9 Sample (AlteryxBasePluginsGui.Sample.Sample)

7.10 Unique (AlteryxBasePluginsGui.Unique.Unique)

7.11 Join (AlteryxBasePluginsGui.Join.Join)

7.12 Union (AlteryxBasePluginsGui.Union.Union)

7.13 Summarize (AlteryxSpatialPluginsGui.Summarize.Summarize)

7.14 JoinMultiple (AlteryxBasePluginsGui.JoinMultiple.JoinMultiple)

7.15 AppendFields (AlteryxBasePluginsGui.AppendFields.AppendFields)

7.16 CrossTab (AlteryxBasePluginsGui.CrossTab.CrossTab)

7.17 Transpose (AlteryxBasePluginsGui.Transpose.Transpose)

7.18 DateTime Parse (AlteryxBasePluginsGui.DateTime.DateTime)

7.19 RegEx (AlteryxBasePluginsGui.RegEx.RegEx)

7.20 TextToColumns (AlteryxBasePluginsGui.TextToColumns.TextToColumns)

7.21 GenerateRows (AlteryxBasePluginsGui.GenerateRows.GenerateRows)

7.22 MultiRowFormula (AlteryxBasePluginsGui.MultiRowFormula.MultiRowFormula)

7.23 RecordID (AlteryxBasePluginsGui.RecordID.RecordID)

8. Expression Transpiler

8.1 Syntax Differences

8.2 Built-in Function Mapping

8.3 Transpiler Implementation Strategy

9. RunContext

10. CLI

11. Dependencies (pyproject.toml)

12. Test Strategy

13. Known Limitations & Out-of-Scope

14. Execution Example

15. XML Quick-Reference Card

Filter (Simple)

Filter (Custom)

Formula

Select

Sort

Sample

Unique

InputData (CSV)

InputData (Excel)

OutputData (CSV)

TextInput

55 KiB

Raw Blame History

6.1 Parser (`engine/parser.py`)

6.2 Executor (`engine/executor.py`)

6.3 Base Tool (`tools/base.py`)

7.1 InputData (`AlteryxBasePluginsGui.DbFileInput.DbFileInput`)

7.2 TextInput (`AlteryxBasePluginsGui.TextInput.TextInput`)

7.3 OutputData (`AlteryxBasePluginsGui.DbFileOutput.DbFileOutput`)

7.4 Browse (`AlteryxBasePluginsGui.BrowseV2.BrowseV2`)

7.5 Filter (`AlteryxBasePluginsGui.Filter.Filter`)

7.6 Formula (`AlteryxBasePluginsGui.Formula.Formula`)

7.7 Select (`AlteryxBasePluginsGui.AlteryxSelect.AlteryxSelect`)

7.8 Sort (`AlteryxBasePluginsGui.Sort.Sort`)

7.9 Sample (`AlteryxBasePluginsGui.Sample.Sample`)

7.10 Unique (`AlteryxBasePluginsGui.Unique.Unique`)

7.11 Join (`AlteryxBasePluginsGui.Join.Join`)

7.12 Union (`AlteryxBasePluginsGui.Union.Union`)

7.13 Summarize (`AlteryxSpatialPluginsGui.Summarize.Summarize`)

7.14 JoinMultiple (`AlteryxBasePluginsGui.JoinMultiple.JoinMultiple`)

7.15 AppendFields (`AlteryxBasePluginsGui.AppendFields.AppendFields`)

7.16 CrossTab (`AlteryxBasePluginsGui.CrossTab.CrossTab`)

7.17 Transpose (`AlteryxBasePluginsGui.Transpose.Transpose`)

7.18 DateTime Parse (`AlteryxBasePluginsGui.DateTime.DateTime`)

7.19 RegEx (`AlteryxBasePluginsGui.RegEx.RegEx`)

7.20 TextToColumns (`AlteryxBasePluginsGui.TextToColumns.TextToColumns`)

7.21 GenerateRows (`AlteryxBasePluginsGui.GenerateRows.GenerateRows`)

7.22 MultiRowFormula (`AlteryxBasePluginsGui.MultiRowFormula.MultiRowFormula`)

7.23 RecordID (`AlteryxBasePluginsGui.RecordID.RecordID`)

11. Dependencies (`pyproject.toml`)