treemapper 1.2.2

Export codebase structure and contents for AI/LLM context

TreeMapper

Export your codebase for AI/LLM context in one command.

pip install treemapper
treemapper . -o context.yaml   # paste into ChatGPT/Claude

Why TreeMapper?

Unlike tree or find, TreeMapper exports structure + file contents in a format optimized for LLM context windows:

name: myproject
type: directory
children:
  - name: main.py
    type: file
    content: |
      def hello():
          print("Hello, World!")
  - name: utils/
    type: directory
    children:
      - name: helpers.py
        type: file
        content: |
          def add(a, b):
              return a + b

Usage

treemapper .                          # YAML to stdout + token count
treemapper . -o tree.yaml             # save to file
treemapper . -o                       # save to tree.yaml (default)
treemapper . -o -                     # explicit stdout output
treemapper . -f json                  # JSON format
treemapper . -f txt                   # plain text with indentation
treemapper . -f md                    # Markdown with fenced code
treemapper . -f yml                   # YAML (alias)
treemapper . --no-content             # structure only
treemapper . --max-depth 3            # limit directory depth
treemapper . --max-file-bytes 10000   # skip files > 10KB
treemapper . --max-file-bytes 0       # no limit
treemapper . -i custom.ignore         # custom ignore patterns
treemapper . --no-default-ignores     # disable default ignores
treemapper . --log-level info         # log level
treemapper . -c                       # copy to clipboard
treemapper . -c -o tree.yaml          # clipboard + save to file
treemapper -v                         # show version

Diff Context Mode

Smart context selection for git diffs — automatically finds the minimal set of code fragments needed to understand a change:

treemapper . --diff HEAD~1..HEAD      # recent changes
treemapper . --diff main..feature     # feature branch
treemapper . --diff HEAD~1 --budget 30000  # limit tokens
treemapper . --diff HEAD~1 --full     # all changed code

Uses graph-based relevance propagation (Personalized PageRank) to select the most important context within a token budget. Understands imports, type references, config dependencies, and co-change patterns across 13+ programming languages.

Output format:

name: myproject
type: diff_context
fragment_count: 5
fragments:
  - path: src/main.py
    lines: "10-25"
    kind: function
    symbol: process_data
    content: |
      def process_data(items):
          ...

Options:

Flag	Default	Description
--budget	50000	Maximum output tokens
--alpha	0.60	PPR damping factor
--tau	0.08	Stopping threshold
--full	false	Include all changed code

Token Counting

Token count and size are always displayed on stderr:

12,847 tokens (o200k_base), 52.3 KB

For large outputs (>1MB), approximate counts with ~ prefix:

~125,000 tokens (o200k_base), 5.2 MB

Uses tiktoken with o200k_base encoding (GPT-4o tokenizer).

Clipboard Support

Copy output directly to clipboard with -c or --copy:

treemapper . -c                       # copy (no stdout)
treemapper . -c -o tree.yaml          # copy + save to file

System Requirements:

• macOS: pbcopy (pre-installed)
• Windows: clip (pre-installed)
• Linux (Wayland): wl-copy
• Linux (X11): xclip or xsel

Python API

from treemapper import map_directory
from treemapper import to_yaml, to_json, to_text, to_markdown

tree = map_directory(
    path,                    # directory path
    max_depth=None,          # limit traversal depth
    no_content=False,        # exclude file contents
    max_file_bytes=None,     # skip large files
    ignore_file=None,        # custom ignore file
    no_default_ignores=False,# disable default ignores
)

yaml_str = to_yaml(tree)
json_str = to_json(tree)
text_str = to_text(tree)
md_str = to_markdown(tree)

Ignore Patterns

Respects .gitignore and .treemapperignore automatically. Use --no-default-ignores to include everything.

• Hierarchical: nested ignore files at each directory level
• Negation patterns: !important.log un-ignores a file
• Anchored patterns: /root_only.txt matches only in root
• Output file is always auto-ignored

Content Placeholders

• <file too large: N bytes> — exceeds --max-file-bytes
• <binary file: N bytes> — binary file detected
• <unreadable content: not utf-8> — not valid UTF-8
• <unreadable content> — permission denied or I/O error

Development

pip install -e ".[dev]"
pytest
pre-commit run --all-files

License

Apache 2.0