Pattern review
Separates literals, date tokens, field placeholders and one counter group so unsupported or incomplete syntax fails clearly.
Day 026 / Frappe / Naming Patterns
Naming Series Tester
/ Overview
A dependency-free Python CLI that validates a focused subset of Frappe-style naming patterns and previews deterministic document names without consuming a real counter.
Naming patterns combine literals, dates, document fields and padded counters. A small typo or missing sample field can make a proposed series difficult to review before it reaches a real Frappe site.
/ Provided servicesClear thinking.
Clear thinking.
Practical delivery.
Deterministic preview
Uses an explicit date, starting number and preview count to produce repeatable sample names without consuming a production sequence.
Safety boundary
Accepts only compact sample values, limits output size and reports field names without retaining a live site configuration.
/ Solution
Naming Series Tester tokenizes an explicit pattern subset, validates one bounded counter group, substitutes a chosen date and safe sample fields, then previews names in text or JSON. It never connects to Frappe, reads the current series value, reserves a name or changes a document.
/ Impact
Focused pattern validation
Deterministic date and counter previews
Safe sample-field boundaries
Text and JSON output
No live counter or document mutation
Eleven passing standard-library tests
Python standard library
Argparse, regular expressions, dataclasses, datetime and JSON provide the complete dependency-free CLI.
Frappe naming concepts
Models a deliberately limited preview subset for literals, dates, fields and padded counters rather than claiming full framework compatibility.
Unittest
Eleven tests cover rendering, token validation, missing fields, unsafe values, counter capacity, output bounds and privacy-conscious JSON.