MIL-002 NATO converter
Metadata
| Key |
Value |
| ID |
MIL-002 |
| CrossReference |
BC-001 |
| Language |
en |
| Domain |
it |
Version History
| Date |
Status |
Author |
Reviewer |
Change |
Commit |
| 2026-10-13 |
Accepted |
Jens Tirsvad Nielsen |
AI as stand-in for S01 |
Initial version, reviewed in RC-004 |
7212302 |
Purpose
Decide whether the console program does what the assignment asks: read a word, and print the NATO code word of each letter, built with list and dictionary comprehensions and tested with pytest.
Deliverable
The nato_alphabet package with a runnable entry point, a test suite that passes, and Doxygen comments on every public item; plus the user story, use case and system sequence diagram of "spell a word".
Go / No-Go Criteria
| # |
Criterion (objectively checkable) |
Go |
No-Go |
| 1 |
All 26 letters map to their code word and input is case-insensitive |
pytest passes |
Any test fails |
| 2 |
A character that is not a letter makes the program ask again instead of crashing |
pytest covers it and passes |
Missing or failing |
| 3 |
The loader uses a dictionary comprehension and the converter a list comprehension |
Code review confirms |
Loops used instead |
| 4 |
The assignment's function names are kept in the public API |
Names present in the module |
Names missing |
| 5 |
The code review against qc-programming-python.md is a Go |
RC-* verdict Go |
No-Go |
| 6 |
doxygen Doxyfile reports no warnings |
0 warnings |
Any warning |
| 7 |
Constants live in constants.py; .env is not imported by src/ or tests/ |
Search confirms |
Any hit |
Dependencies
| Depends on |
Reason |
| MIL-001 |
Project configuration, skeleton, CI and Doxyfile |
Traceability
| Business Case objective / KPI / user story |
Reference |
| O1, O3, O4 |
BC-001 |
| Spell a word |
US-001, UC-001 |
Ownership
| Role |
Stakeholder ID (SA) |
| Owner |
S01 |
| Approving reviewer |
S01 |
Target Date
2026-10-15 — inside the plan's window (2026-10-13 to 2026-10-16).
Tasks
| # |
Task |
Summary |
Needs its own Use Case/User Story? |
Reference |
| 1 |
Model "spell a word" |
Write US-001, UC-001 (brief) and the system sequence diagram for the user who types a word and receives its NATO code words, including the retry on invalid input. Domain concepts are only letter and code word, so no domain model is added. |
Yes |
US-001, UC-001 |
| 2 |
Load the NATO alphabet |
Read the CSV with the standard library and build the letter-to-code-word dictionary with a dictionary comprehension (load_nato_dict), taking the file name from constants.py. |
No |
|
| 3 |
Convert a word to code words |
Implement the assignment's generate_phonetic with a list comprehension: upper-case the word, return the code word of each letter, raise a clear error for a character that is not a letter. |
No |
|
| 4 |
Implement the console entry point |
Prompt for a word, print the code words, ask again on invalid input; runnable as python -m nato_alphabet and as the nato-alphabet command. |
Yes |
UC-001 |
| 5 |
Write the pytest suite |
Test all letters, mixed case, unknown characters, the loader (with a temporary CSV) and the entry point (with patched input and captured output). |
No |
|
| 6 |
Add Doxygen comments |
Document every module, function and constant with Doxygen comments and confirm the build has no warnings. |
No |
|
