coding-mentor-agent/kb/python-course-kb-practical-python/wiki/exercises/9-3-top-level-scripts.md

id, source_exercise_id, title, section, source_path, source_repo, source_commit, student_visible_solution, has_private_solution, skip

id	source_exercise_id	title	section	source_path	source_repo	source_commit	student_visible_solution	has_private_solution	skip
practical-python-9.3	9.3	Top-level Scripts	9.1 Packages	09_Packages/01_Packages.md	https://github.com/dabeaz-course/practical-python	93dca856b41c61a0a0f85ae334116e4c125629ea	false	true	false

Exercise 9.3: Top-level Scripts

Source: Practical Python Programming, 09_Packages/01_Packages.md.

Exercise 9.3: Top-level Scripts

Using the python -m command is often a bit weird. You may want to write a top level script that simply deals with the oddities of packages. Create a script print-report.py that produces the above report:

#!/usr/bin/env python3
# print-report.py
import sys
from porty.report import main
main(sys.argv)

Put this script in the top-level porty-app/ directory. Make sure you can run it in that location:

shell % cd porty-app
shell % python3 print-report.py portfolio.csv prices.csv txt
      Name     Shares      Price     Change
---------- ---------- ---------- ----------
        AA        100       9.22     -22.98
       IBM         50     106.28      15.18
       CAT        150      35.46     -47.98
      MSFT        200      20.89     -30.34
        GE         95      13.48     -26.89
      MSFT         50      20.89     -44.21
       IBM        100     106.28      35.84

shell %

Your final code should now be structured something like this:

porty-app/
    portfolio.csv
    prices.csv
    print-report.py
    README.txt
    porty/
        __init__.py
        fileparse.py
        follow.py
        pcost.py
        portfolio.py
        report.py
        stock.py
        tableformat.py
        ticker.py
        typedproperty.py

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关联来源

• summaries/01_Packages