appm 0.0.10

APPN Phenomate Project Manager

APPN Phenomate Project Manager

A Python package for managing project templates, metadata, and file organization using flexible YAML schemas. Designed for research and data projects that require consistent file naming, metadata, and directory structures.

Install

pip install appm

Features

• Template-driven project structure: Define project layouts, file naming conventions, and metadata in YAML.
• Automatic project initialization: Create new projects with standardized folders and metadata files.
• File placement and matching: Automatically determine where files belong based on their names and template rules.
• Extensible and validated: Uses Pydantic for schema validation and ruamel.yaml for YAML parsing. Installation Or for development:

Usage

1. Define a Template

Create a YAML template describing your project's structure, naming conventions, and file formats. See examples/template.yaml for the default template.

2. Initialize a Project

from appm import ProjectManager

pm = ProjectManager.from_template(
    root="projects",
    year=2024,
    summary="Wheat yield trial",
    internal=True,
    researcherName="Jane Doe",
    organisationName="Plant Research Org",
    template="examples/template.yaml"
)
pm.init_project()

3. Add Files

Files are automatically placed in the correct directory based on the template used.

An example template file:

version: 0.0.8
naming_convention:
  sep: "_"
  structure: ['year', 'summary', 'internal', 'researcherName', 'organisationName']
layout:
  structure: ['sensor', 'date', 'trial', 'procLevel']
  mapping:
    procLevel:
      raw: 'T0-raw'
      proc: 'T1-proc'
      trait: 'T2-trait'
file:
  "*":
    sep: "_"
    default:
      procLevel: raw
    components:
      - sep: "_"
        components:
          - ['date', '\d{4}-\d{2}-\d{2}']
          - ['time', '\d{2}-\d{2}-\d{2}']
      - ['ms', '\d{6}']
      - ['dateshort', '\d{4}']
      - ['trial', '[^_.]+']
      - ['sensor', '[^_.]+']
      - name: 'procLevel'
        pattern: 'T0-raw|T1-proc|T2-trait|raw|proc|trait'
        required: false

Using an input file named: 2025-08-14_06-30-03_393242_0814_test2_jai1_0.bin the above template will output files to the following directory:

jai1/2025-08-14/test2/T0-raw

as per the layout format specified in the file:

structure: ['sensor', 'date', 'trial', 'procLevel']

and the file(s) will have the name:

2025-08-14_06-30-03_393242_0814_test2_jai1_0_preproc-0.jpeg

Programmatically this is done using the following method:

pm.copy_file("data/20240601-120000_SiteA_SensorX_Trial1_T0-raw.csv")

Project Structure

• appm – Core package (template parsing, project management, utilities)
• examples – Example YAML templates
• schema – JSON schema for template validation
• tests – Unit tests and fixtures

Development

• Python 3.11+
• Pydantic
• ruamel.yaml
• pytest for testing

Run tests:

pytest