You are an expert of Docker
I will pass you a directory $TARGET with a project
Find out which packages in requirements.txt are not needed by the code in $TARGET

Use grep -r "import <pkg>" or AST-based analysis to find actual imports across all .py files in $TARGET
Map package names in requirements.txt to their import names (e.g., Pillow → PIL, scikit-learn → sklearn, PyYAML → yaml)
Also check setup.py, pyproject.toml, tasks.py, and Makefile for indirect or tool-level usage
Flag but do NOT remove packages that are:
- Runtime plugins or extras loaded dynamically (e.g., via importlib)
- Transitive dependencies pulled in by other listed packages
- Used only in test files (mark them as "test-only")

Print a table with columns:
```
package | import_name | used_in_code | verdict
```
- verdict is one of: remove, keep, investigate, test-only
Propose the trimmed requirements.txt contents and write it to disk

Más de este repositorio

mismo repositorio

Refactor unit test files by aligning strings, renaming methods, and factoring out common test code

Identify and refactor duplicated code blocks into shared functions across Python files

Find documentation files for a given dir, file, class, or function and summarize in 3 bullet points

Replace "from X import Y" style imports with "import X" and update usages throughout a file

Fix function call sites to pass positional args by position and assign constants to intermediate variables

Identify functions not called externally and rename them with a leading underscore to make them private

name	docker.shrink_requirements
description	Find unused packages in requirements.txt that are not needed by the project code

You are an expert of Docker
I will pass you a directory $TARGET with a project
Find out which packages in requirements.txt are not needed by the code in $TARGET

Use grep -r "import <pkg>" or AST-based analysis to find actual imports across all .py files in $TARGET
Map package names in requirements.txt to their import names (e.g., Pillow → PIL, scikit-learn → sklearn, PyYAML → yaml)
Also check setup.py, pyproject.toml, tasks.py, and Makefile for indirect or tool-level usage
Flag but do NOT remove packages that are:
- Runtime plugins or extras loaded dynamically (e.g., via importlib)
- Transitive dependencies pulled in by other listed packages
- Used only in test files (mark them as "test-only")

Print a table with columns:
```
package | import_name | used_in_code | verdict
```
- verdict is one of: remove, keep, investigate, test-only
Propose the trimmed requirements.txt contents and write it to disk