Skip to main content

Budget‑constrained JSON preview renderer (Python bindings)

Project description

headson

Head/tail for JSON — but structure‑aware. Get a compact preview that shows both the shape and representative values of your data, all within a strict character budget.

Available as:

Install

Using Cargo:

cargo install headson

From source:

cargo build --release
target/release/headson --help

Features

  • Budgeted output: specify exactly how much JSON you want to see
  • Multiple output formats : json (machine‑readable), pseudo (human‑friendly), js (valid JavaScript, most detailed metadata).
  • Multiple inputs: preview many files at once with a shared or per‑file budget.
  • Fast: can process gigabyte-scale files in seconds (mostly disk-constrained)
  • Available as a CLI app and as a Python library

Fits into command line workflows

If you’re comfortable with tools like head and tail, use headson when you want a quick, structured peek into a JSON file without dumping the entire thing.

  • head/tail operate on bytes/lines - their output is not optimized for tree structures
  • jq you need to craft filters to preview large JSON files
  • headson is like head/tail for trees: zero config but it keeps structure and represents content as much as possible

Usage

headson [FLAGS] [INPUT...]
  • INPUT (optional, repeatable): file path(s). If omitted, reads JSON from stdin. Multiple input files are supported.
  • Prints the preview to stdout. On parse errors, exits non‑zero and prints an error to stderr.

Common flags:

  • -n, --budget <BYTES>: per‑file output budget. When multiple input files are provided, the default total budget equals <BYTES> * number_of_inputs.
  • -N, --global-budget <BYTES>: total output budget across all inputs. Useful when you want a fixed-size preview across many files (may omit entire files).
    • When used together with --budget, the final total budget is min(global, per_file * number_of_inputs). Files are only truncated if they don't fit into this final global limit, and no single file expands beyond the per‑file budget.
  • -f, --template <json|pseudo|js>: output style (default: pseudo)
  • -m, --compact: no indentation, no spaces, no newlines
  • --no-newline: single line output
  • --no-space: no space after : in objects
  • --indent <STR>: indentation unit (default: two spaces)
  • --string-cap <N>: max graphemes to consider per string (default: 500)
  • --head: prefer the beginning of arrays when truncating (keep first N). Strings are unaffected. In pseudo/js templates the omission marker appears near the end; json remains strict. Mutually exclusive with --tail.
  • --tail: prefer the end of arrays when truncating (keep last N). Strings are unaffected. In pseudo/js templates the omission marker appears at the start; json remains strict. Mutually exclusive with --head.

Notes:

  • With multiple input files:
    • JSON template outputs a single JSON object keyed by the input file paths.
    • Pseudo and JS templates render file sections with human-readable headers when newlines are enabled.
      • If you use --compact or --no-newline (both disable newlines), fileset output falls back to standard inline rendering (no per-file headers) to remain compact.
    • Using --global-budget may truncate or omit entire files to respect the total budget.
    • The tool finds the largest preview that fits the budget; if even the tiniest preview exceeds it, you still get a minimal, valid preview.
    • When passing file paths, directories and binary files are ignored; a notice is printed to stderr for each (e.g., Ignored binary file: ./path/to/file). Stdin mode reads the stream as-is.
    • Head vs Tail sampling: these options bias which part of arrays are kept before rendering. They guarantee the kept segment is contiguous at the chosen side (prefix for --head, suffix for --tail). Display templates may still insert additional internal gap markers inside that kept segment to honor very small budgets; json remains strict and unannotated.

Quick one‑liners:

  • Peek a big JSON stream (keeps structure):

    zstdcat huge.json.zst | headson -n 800 -f pseudo
    
  • Many files with a fixed overall size:

    headson -N 1200 -f json logs/*.json
    
  • Glance at a file, JavaScript‑style comments for omissions:

    headson -n 400 -f js data.json
    

Show help:

headson --help

Examples: head vs headson

Input:

{"users":[{"id":1,"name":"Ana","roles":["admin","dev"]},{"id":2,"name":"Bo"}],"meta":{"count":2,"source":"db"}}

Naive cut (can break mid‑token):

jq -c . users.json | head -c 80
# {"users":[{"id":1,"name":"Ana","roles":["admin","dev"]},{"id":2,"name":"Bo"}],"me

Structured preview with headson (pseudo):

headson -n 120 -f pseudo users.json
# {
#   users: [
#     { id: 1, name: "Ana", roles: [ "admin", … ] },
#     …
#   ]
#   meta: { count: 2, … }
# }

Machine‑readable preview (json):

headson -n 120 -f json users.json
# {"users":[{"id":1,"name":"Ana","roles":["admin"]}],"meta":{"count":2}}

Python Bindings

A thin Python extension module is available on PyPI as headson.

  • Install: pip install headson (ABI3 wheels for Python 3.10+ on Linux/macOS/Windows).
  • API:
    • headson.summarize(text: str, *, template: str = "pseudo", character_budget: int | None = None, skew: str = "balanced") -> str
      • template: one of "json" | "pseudo" | "js"
      • character_budget: maximum output size in characters (default: 500)
      • skew: one of "balanced" | "head" | "tail" (focus arrays on start vs end; only affects display templates; json remains strict).

Example:

import json
import headson

data = {"foo": [1, 2, 3], "bar": {"x": "y"}}
preview = headson.summarize(json.dumps(data), template="json", character_budget=200)
print(preview)

# Prefer the tail of arrays (annotations show in pseudo/js only)
print(
    headson.summarize(
        json.dumps(list(range(100))),
        template="pseudo",
        character_budget=80,
        skew="tail",
    )
)

Algorithm

Algorithm overview

Footnotes

  • [1] Optimized tree representation: An arena‑style tree stored in flat, contiguous buffers. Each node records its kind and value plus index ranges into shared child and key arrays. Arrays are ingested in a single pass and may be deterministically pre‑sampled: the first element is always kept; additional elements are selected via a fixed per‑index inclusion test; for kept elements, original indices are stored and full lengths are counted. This enables accurate omission info and internal gap markers later, while minimizing pointer chasing.
  • [2] Priority order: Nodes are scored so previews surface representative structure and values first. Arrays can favor head/mid/tail coverage (default) or strictly the head; tail preference flips head/tail when configured. Object properties are ordered by key, and strings expand by grapheme with early characters prioritized over very deep expansions.
  • [3] Choose top N nodes (binary search): Iteratively picks N so that the rendered preview fits within the character budget, looping between “choose N” and a render attempt to converge quickly.
  • [4] Render attempt: Serializes the currently included nodes using the selected template. Omission summaries and per-file section headers appear in display templates (pseudo/js); json remains strict. For arrays, display templates may insert internal gap markers between non‑contiguous kept items using original indices.
  • [5] Diagram source: The Algorithm diagram is generated from docs/diagrams/algorithm.mmd. Regenerate the SVG with cargo make diagrams before releasing.

License

MIT

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

headson-0.5.3.tar.gz (47.0 kB view details)

Uploaded Source

Built Distributions

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

headson-0.5.3-cp310-abi3-win_amd64.whl (228.0 kB view details)

Uploaded CPython 3.10+Windows x86-64

headson-0.5.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (336.7 kB view details)

Uploaded CPython 3.10+manylinux: glibc 2.17+ x86-64

headson-0.5.3-cp310-abi3-macosx_11_0_arm64.whl (286.6 kB view details)

Uploaded CPython 3.10+macOS 11.0+ ARM64

File details

Details for the file headson-0.5.3.tar.gz.

File metadata

  • Download URL: headson-0.5.3.tar.gz
  • Upload date:
  • Size: 47.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.9.6

File hashes

Hashes for headson-0.5.3.tar.gz
Algorithm Hash digest
SHA256 ba2f16b070bf1966714db6b1640797ab80b4a620d12ace9149e1a41a832d0157
MD5 c9730e44c47133f447b740bff3ecf723
BLAKE2b-256 645e86e0bf1a8f30145dbad45bcfc90b4dd81f81b827aa01a19d8f632b106db8

See more details on using hashes here.

File details

Details for the file headson-0.5.3-cp310-abi3-win_amd64.whl.

File metadata

  • Download URL: headson-0.5.3-cp310-abi3-win_amd64.whl
  • Upload date:
  • Size: 228.0 kB
  • Tags: CPython 3.10+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.9.6

File hashes

Hashes for headson-0.5.3-cp310-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 d44cd891dad7f25270c4518d9bff51285281de79f785649f5fe4d8744f9c89ec
MD5 2430abdb478d97c1fdf37c9376023e16
BLAKE2b-256 139a5c9ee4139e37202a854e9a398f1ce45c3a3e69f4a146f6503badc2c1253f

See more details on using hashes here.

File details

Details for the file headson-0.5.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for headson-0.5.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e6423923f436f8b62e659261499d33612dc4832cec9f76c3b9355b82f5e775e
MD5 1c08686dd004cb5884c13e51a84e186b
BLAKE2b-256 37c63c9159b8b657b34594eb9c4dd7fe75f177dc587801704f70babbd1d5b67e

See more details on using hashes here.

File details

Details for the file headson-0.5.3-cp310-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for headson-0.5.3-cp310-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 250fbb532d6e8820b4296953833c16f64d88c062793ebd3b964468d733898be4
MD5 46e8cd2177b12b4fb2a22c0e8473c529
BLAKE2b-256 27f33c4b61aea3c67fcee595274e7ac4cb3421d8e178d2d7afa6140dbfc1483d

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