Skip to main content

Export UNIHAN data of Chinese, Japanese, Korean to CSV, JSON or YAML

Project description

unihan-etl · Python Package License Code Coverage

ETL tool for Unicode's Han Unification (UNIHAN) database releases. unihan-etl retrieves (downloads), extracts (unzips), and transforms the database from Unicode's website to a flat, tabular or structured, tree-like format.

unihan-etl can be used as a python library through its API, to retrieve data as a python object, or through the CLI to retrieve a CSV, JSON, or YAML file.

Part of the cihai project. Similar project: libUnihan.

UNIHAN Version compatibility (as of unihan-etl v0.10.0): 11.0.0 (released 2018-05-08, revision 25).

UNIHAN's data is dispersed across multiple files in the format of:

U+3400  kCantonese  jau1
U+3400  kDefinition (same as U+4E18 丘) hillock or mound
U+3400  kMandarin   qiū
U+3401  kCantonese  tim2
U+3401  kDefinition to lick; to taste, a mat, bamboo bark
U+3401  kHanyuPinyin    10019.020:tiàn
U+3401  kMandarin   tiàn

Values vary in shape and structure depending on their field type. kHanyuPinyin maps Unicode codepoints to Hànyǔ Dà Zìdiǎn, where 10019.020:tiàn represents an entry. Complicating it further, more variations:

U+5EFE  kHanyuPinyin    10513.110,10514.010,10514.020:gǒng
U+5364  kHanyuPinyin    10093.130:xī,lǔ 74609.020:lǔ,xī

kHanyuPinyin supports multiple entries delimited by spaces. ":" (colon) separate locations in the work from pinyin readings. "," (comma) separate multiple entries/readings. This is just one of 90 fields contained in the database.

Tabular, "Flat" output

CSV (default)

$ unihan-etl
char,ucn,kCantonese,kDefinition,kHanyuPinyin,kMandarin
㐀,U+3400,jau1,(same as U+4E18 丘) hillock or mound,,qiū
㐁,U+3401,tim2,"to lick; to taste, a mat, bamboo bark",10019.020:tiàn,tiàn

To preview in the CLI, try tabview or csvlens.

JSON

$ unihan-etl -F json --no-expand
[
  {
    "char": "㐀",
    "ucn": "U+3400",
    "kDefinition": "(same as U+4E18 丘) hillock or mound",
    "kCantonese": "jau1",
    "kHanyuPinyin": null,
    "kMandarin": "qiū"
  },
  {
    "char": "㐁",
    "ucn": "U+3401",
    "kDefinition": "to lick; to taste, a mat, bamboo bark",
    "kCantonese": "tim2",
    "kHanyuPinyin": "10019.020:tiàn",
    "kMandarin": "tiàn"
  }
]

Tools:

YAML

$ unihan-etl -F yaml --no-expand
- char: 
  kCantonese: jau1
  kDefinition: (same as U+4E18 丘) hillock or mound
  kHanyuPinyin: null
  kMandarin: qiū
  ucn: U+3400
- char: 
  kCantonese: tim2
  kDefinition: to lick; to taste, a mat, bamboo bark
  kHanyuPinyin: 10019.020:tiàn
  kMandarin: tiàn
  ucn: U+3401

Filter via the CLI with yq.

"Structured" output

Codepoints can pack a lot more detail, unihan-etl carefully extracts these values in a uniform manner. Empty values are pruned.

To make this possible, unihan-etl exports to JSON, YAML, and python list/dicts.

Why not CSV?

Unfortunately, CSV is only suitable for storing table-like information. File formats such as JSON and YAML accept key-values and hierarchical entries.

JSON

$ unihan-etl -F json
[
  {
    "char": "㐀",
    "ucn": "U+3400",
    "kDefinition": ["(same as U+4E18 丘) hillock or mound"],
    "kCantonese": ["jau1"],
    "kMandarin": {
      "zh-Hans": "qiū",
      "zh-Hant": "qiū"
    }
  },
  {
    "char": "㐁",
    "ucn": "U+3401",
    "kDefinition": ["to lick", "to taste, a mat, bamboo bark"],
    "kCantonese": ["tim2"],
    "kHanyuPinyin": [
      {
        "locations": [
          {
            "volume": 1,
            "page": 19,
            "character": 2,
            "virtual": 0
          }
        ],
        "readings": ["tiàn"]
      }
    ],
    "kMandarin": {
      "zh-Hans": "tiàn",
      "zh-Hant": "tiàn"
    }
  }
]

YAML

$ unihan-etl -F yaml
- char: 
  kCantonese:
    - jau1
  kDefinition:
    - (same as U+4E18 丘) hillock or mound
  kMandarin:
    zh-Hans: qiū
    zh-Hant: qiū
  ucn: U+3400
- char: 
  kCantonese:
    - tim2
  kDefinition:
    - to lick
    - to taste, a mat, bamboo bark
  kHanyuPinyin:
    - locations:
        - character: 2
          page: 19
          virtual: 0
          volume: 1
      readings:
        - tiàn
  kMandarin:
    zh-Hans: tiàn
    zh-Hant: tiàn
  ucn: U+3401

Features

  • automatically downloads UNIHAN from the internet
  • strives for accuracy with the specifications described in UNIHAN's database design
  • export to JSON, CSV and YAML (requires pyyaml) via -F
  • configurable to export specific fields via -f
  • accounts for encoding conflicts due to the Unicode-heavy content
  • designed as a technical proof for future CJK (Chinese, Japanese, Korean) datasets
  • core component and dependency of cihai, a CJK library
  • data package support
  • expansion of multi-value delimited fields in YAML, JSON and python dictionaries
  • supports >= 3.7 and pypy

If you encounter a problem or have a question, please create an issue.

Installation

To download and build your own UNIHAN export:

$ pip install --user unihan-etl

or by pipx:

$ pipx install unihan-etl

Developmental releases

pip:

$ pip install --user --upgrade --pre unihan-etl

pipx:

$ pipx install --suffix=@next 'unihan-etl' --pip-args '\--pre' --force
// Usage: unihan-etl@next load yoursession

Usage

unihan-etl offers customizable builds via its command line arguments.

See unihan-etl CLI arguments for information on how you can specify columns, files, download URL's, and output destination.

To output CSV, the default format:

$ unihan-etl

To output JSON:

$ unihan-etl -F json

To output YAML:

$ pip install --user pyyaml
$ unihan-etl -F yaml

To only output the kDefinition field in a csv:

$ unihan-etl -f kDefinition

To output multiple fields, separate with spaces:

$ unihan-etl -f kCantonese kDefinition

To output to a custom file:

$ unihan-etl --destination ./exported.csv

To output to a custom file (templated file extension):

$ unihan-etl --destination ./exported.{ext}

See unihan-etl CLI arguments for advanced usage examples.

Code layout

# cache dir (Unihan.zip is downloaded, contents extracted)
{XDG cache dir}/unihan_etl/

# output dir
{XDG data dir}/unihan_etl/
  unihan.json
  unihan.csv
  unihan.yaml   # (requires pyyaml)

# package dir
unihan_etl/
  process.py    # argparse, download, extract, transform UNIHAN's data
  constants.py  # immutable data vars (field to filename mappings, etc)
  expansion.py  # extracting details baked inside of fields
  util.py       # utility / helper functions

# test suite
tests/*

Developing

$ git clone https://github.com/cihai/unihan-etl.git
$ cd unihan-etl

Bootstrap your environment and learn more about contributing. We use the same conventions / tools across all cihai projects: pytest, sphinx, flake8, mypy, black, isort, tmuxp, and file watcher helpers (e.g. entr(1)).

More information

Docs Build Status

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

unihan-etl-0.18.1.tar.gz (60.5 kB view hashes)

Uploaded source

Built Distribution

unihan_etl-0.18.1-py3-none-any.whl (19.5 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page