pyeil 0.3.0

Small Python utility to extract imported libraries from source code files in various programming languages using tree-sitter.

Extract Imported Libraries

Small Python utility to extract imported libraries from source code files in various programming languages using tree-sitter.

Supported Languages

• Python
• R

Installation

You can install the package via pip:

pip install pyeil

Usage

Single File

from eil import Extractor

extractor = Extractor()
imported_libs = extractor.extract_from_file("path/to/your/file.py")
print(imported_libs)
# Output:
# ImportedLibraries(
#   stdlib={'os', 'sys'},
#   third_party={'requests', 'pandas'},
#   first_party={'utils'},
# )

Directory Processing

Extract imports from all files in a directory with optional progress bar:

from eil import Extractor, ExtractorType

extractor = Extractor()

# Extract from all supported files in a directory
result = extractor.extract_from_directory(
    "src/",
    extractor_type=ExtractorType.ALL,  # or PYTHON, R
    recursive=True,                     # search subdirectories
    show_progress=True,                 # show tqdm progress bar
)

# Access results
for file_path, libs in result.extracted.items():
    print(f"{file_path}: {libs.third_party}")

# Check for failures
for file_path, error in result.failed.items():
    print(f"Failed: {file_path}\n{error}")

Ignored External/Vendored Directories

By default, directories commonly used for vendored or copied code (e.g., external, vendor, third_party, deps) are ignored when extracting imports from a repository. This prevents analyzing large bundled dependencies and avoids falsely classifying those packages as first-party.

Ignored directories are not scanned for the purpose of promoting module names to first-party or adding them to a third-party whitelist. If you want the analyzer to consider those directories, override the default ignore list by passing ignore_directories_list=set() to Extractor.extract_from_directory().

Example:

from eil import Extractor, ExtractorType

extractor = Extractor()
result = extractor.extract_from_directory(
    "src/",
    extractor_type=ExtractorType.ALL,
    recursive=True,
    ignore_directories_list=set(),  # disable default ignore list
)

# Proceed with `result.extracted` as usual

Processing Notebook Formats

If you want to extract imports from Jupyter notebooks or Rmd files, you should first convert them to their script counterparts using: py-nb-to-src which will convert .ipynb of all types (R, Julia, Python, Matlab) to their respective script formats as well as .Rmd to .R scripts.

Install with: pip install py-nb-to-src

Then use the following code to convert and extract imports:

from nb_to_src import convert_directory, ConverterType
from eil import Extractor

converted_file_results = convert_directory(
    "notebooks/",
    # recursive=True,
    progress_leave=False,
)
extractor = Extractor()
extracted_results = extractor.extract_from_directory(
    "notebooks/",
    # recursive=True,
    progress_leave=False,
)
for file_path, libs in extracted_results.extracted.items():
    print(f"{file_path}: {libs.third_party}")