subtask-manager 0.2.3

ETL Subtask management library written in Rust

subtask-manager

subtask-manager is a Rust-powered Python package for discovering, classifying, loading, and rendering ETL subtasks from a filesystem structure.

It is designed for ETL projects where task metadata is encoded in folder names (entity, stage, system) and task content lives in files (.sql, .py, .sh, etc.).

---

Features

• Fast core implementation in Rust (PyO3 extension module)
• Python-friendly API
• Recursive file scanning by supported extensions
• Automatic classification of tasks from folder structure
• Lazy loading of task contents
• Rich filtering (stage, entity, system_type, task_type, is_common)
• Parameter extraction and rendering with multiple placeholder styles
• Immutable parameter application (returns new objects)

---

Installation

From PyPI

pip install subtask-manager

From source (local dev)

# Build extension and install in editable/dev mode
maturin develop

Or build wheels:

maturin build --release

---

Supported task types (by extension)

• SQL: sql, psql, tsql, plpgsql
• Shell: sh
• PowerShell: ps1
• Python: py
• GraphQL: graphql, gql
• JSON: json, jsonl
• YAML: yaml, yml

---

Folder conventions

Classification is based on the file path relative to a base directory.

Expected relative folder depth: up to 3 components before the file.

Typical pattern:

<base>/<entity>/<stage>/<system>/<task_file>

Examples:

• customers/01_extract/pg/extract_data.sql
• orders/02_transform/duck/normalize.py

Common tasks

A file directly under <base> is treated as a common task:

<base>/shared.yaml

---

Enums and aliases

EtlStage

• Setup
• Extract
• Transform
• Load
• Cleanup
• Postprocessing
• Other

Recognized aliases include names like:

• 01_extract, extract, e, 01
• etc.

SystemType

Includes:

• PostgreSQL, Duckdb, Clickhouse, MySQL, OracleDB, SQLite, SqlServer, Vertica, Other

Example aliases:

• pg, postgres, duck, duckdb, etc.

TaskType

• Sql, Shell, Powershell, Python, Graphql, Json, Yaml, Other

---

Quick usage

from pathlib import Path
from subtask_manager import SubtaskManager, EtlStage, SystemType, ParamType

base = Path("tests/test_data/subtasks")
sm = SubtaskManager(base)

print(sm.base_path)
print(sm.num_files)
print(sm.file_paths[:3])

# Lazy-loaded subtasks
tasks = sm.subtasks
print(len(tasks))

# Get a single task
task = sm.get_task("extract_data.sql")
print(task.name, task.entity, task.stage, task.system_type)

# Filter tasks
extract_pg = sm.get_tasks(
    etl_stage=EtlStage.Extract,
    system_type=SystemType.PostgreSQL,
    include_common=False,
)
print(len(extract_pg))

# Inspect parameter names
params = task.get_params()
print(params)

# Apply parameters immutably
rendered = task.apply_parameters(
    {"date": "2025-01-01", "env": "prod"},
    styles=[ParamType.Curly, ParamType.DollarBrace],
    ignore_missing=True,
)

print(rendered.get_command())

---

Parameter styles

Supported placeholder styles:

• Curly: {name}
• Dollar: $name
• DollarBrace: ${name}
• DoubleCurly: {{name}}
• DoubleUnderscore: __name__
• Percent: %name%
• Angle: <name>

Useful methods:

• subtask.get_params(styles=None) -> set[str]
• subtask.apply_parameters(params, styles=None, ignore_missing=False) -> Subtask
• subtask.render_with_params(params, styles=None, ignore_missing=False) -> RenderedSubtask
• subtask.render() -> Subtask
• subtask.render_lightweight() -> RenderedSubtask
• subtask.get_stored_params() -> dict[str, str]
• subtask.get_command() -> str | None

---

Public classes

• SubtaskManager
• Subtask
• RenderedSubtask
• FileScanner
• FileClassifier
• EtlStage
• SystemType
• TaskType
• ParamType

---

Development

Prerequisites

• Rust toolchain
• Python 3.12+
• uv (recommended) or pip
• maturin

Install dev dependencies

uv sync --dev

Run tests

cargo test
uv run -m pytest

or:

make test

Lint/format (Python)

uv run ruff check .
uv run ruff format .

---

Build and release

Cross-platform wheel publishing is automated with GitHub Actions.

See the full runbook:

• RELEASE.md

It documents:

• TestPyPI dry runs
• PyPI production release flow
• Trusted Publishing setup
• version/tag conventions

---

Versioning notes

Keep versions aligned between:

• Cargo.toml ([package].version)
• pyproject.toml ([project].version)

Use Makefile version helpers (if present) to bump consistently.

---

License

MIT