Skip to main content

Map a Python source tree into typed-edge markdown for fast AI navigation.

Project description

Trailmap

Map a source tree into typed-edge markdown so an AI can find any symbol and see how it connects without reading the source. Python and TypeScript. Design and rationale in DESIGN.md.

Python analysis uses the standard library only. Other languages are opt-in extras, so the base install stays dependency-free.

Install

pip install trailmap                # Python analysis, zero dependencies
pip install trailmap[typescript]    # adds TypeScript/TSX (tree-sitter)

Installs a trailmap console command. Or run it in place: python -m trailmap ....

Languages

Python (stdlib ast, always available) and TypeScript/TSX (tree-sitter, the typescript extra). Trailmap maps whatever it recognizes in a tree and skips files whose language extra isn't installed, telling you what to install. Each new language is an adapter behind its own extra; the core stays pure Python.

Run

python -m trailmap <source-tree> -o <output-dir>

Map Trailmap's own source (the demo):

python -m trailmap trailmap -o trailmap-out

Output

  • INDEX.md — front door and how-to-read.
  • modules/<module>.md — one page per module; frontmatter has imports, body has a section per symbol with its edges.
  • symbols.tsvfqn kind file line signature. Grep this to locate a symbol.
  • edges.tsvsrc type dst confidence resolved. Grep src for dependencies, dst for dependents.
  • candidates.tsv — for a ?-unresolved call, the possible in-project targets (caller method candidate n_candidates). A lead, kept out of edges.tsv.
  • trailmap.json — the full structured graph.

Edges are ast/parser (precise, trust) or heuristic (a lead). Unresolved targets keep a trailing ?.

Status

Early (0.1). Python (stdlib ast) and TypeScript/TSX (tree-sitter extra). Resolution is best-effort without a type checker: it follows imports, inferred receiver types, the inheritance chain, and in-project star imports, and offers candidate leads for the rest. Limits are in DESIGN.md. The core is language-agnostic; new languages are adapters behind their own extra.

License

MIT. See LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

trailmap-0.1.0.tar.gz (140.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

trailmap-0.1.0-py3-none-any.whl (24.0 kB view details)

Uploaded Python 3

File details

Details for the file trailmap-0.1.0.tar.gz.

File metadata

  • Download URL: trailmap-0.1.0.tar.gz
  • Upload date:
  • Size: 140.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for trailmap-0.1.0.tar.gz
Algorithm Hash digest
SHA256 51a3216a1a849d332c461b665f61ba36b8d53dfcf1ca393fa2e8efc90d87c3ad
MD5 0e5fc217088eac81c4ee0d2d9e360e79
BLAKE2b-256 71ca64bbc91a0ce1ace2468801b51fe5f5d7cf66a30947e95d44b02812b73390

See more details on using hashes here.

File details

Details for the file trailmap-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: trailmap-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 24.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for trailmap-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ef973dbc54a664027589ae41b3b0ee6cf129920df325c6091385ef3794accec2
MD5 1f944f962bcabcd1be8523b31672cd8a
BLAKE2b-256 4904cc20f4e9bd69e62444f50603788a7c2255c7c8690cb62df3ff3f346ad602

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page