Skip to main content

pyTxTchat

Python Terminal Text Chat

  • using Apache Kafka

using

  • ping
$ pip install pytxtchat

$ txtping
pong
  • chat
$ txtchat

chathome

chatui

  • run cat bot
$ txtbot living <KAFKA-URL>:9092
  • search_movie
$ txtsmovie 창동 --column directorNm tablefmt github
|      | movieNm   |   openDt | nationAlt   | genreAlt   | typeNm   | directorNm   |           |   movieCd |   year |
|------|-----------|----------|-------------|------------|----------|--------------|--------------------|-----------|--------|
|  449 | 버닝      | 20180517 | 한국        | 미스터리   | 장편     | 이창동       | 파인하우스필름(주) |  20173202 |   2018 |
| 6259 | 버닝      | 20180517 | 한국        | 미스터리   | 장편     | 이창동       | 나우필름(주)       |  20173202 |   2018 |

$ txtsmovie --help
NAME
    txtsmovie - 영화 검색 함수

SYNOPSIS
    txtsmovie WORD <flags>

DESCRIPTION
    영화 검색 함수

POSITIONAL ARGUMENTS
    WORD
        Type: str
        검색할 단어

FLAGS
    -c, --column=COLUMN
        Default: 'movieNm'
        검색할 컬럼 (기본값: 'movieNm') nationAlt, genreAlt, typeNm, directorNm, companyNm
    -i, --isprint=ISPRINT
        Default: 'True'
        검색 결과를 출력할지 여부 (기본값: 'True')
    -t, --tablefmt=TABLEFMT
        Default: 'github'
        출력 형식 (기본값: 'github') plain, simple, grid, pipe, pretty, tsv ... https://pypi.org/project/tabulate/

NOTES
    You can also use flags syntax for POSITIONAL ARGUMENTS


$ txtgmovie --star=True --column=directorNm
강정훈      [ 90]  ****************************
강현성      [ 87]  ***************************
나가에 타카미  [ 90]  ****************************
나기라 겐조   [ 63]  ********************
버드맨 텟페이  [132]  ****************************************
윤준세      [ 71]  **********************
조태호      [ 70]  **********************
테이 쟈가    [ 65]  ********************
토미죠 타로   [ 82]  *************************
한동호      [ 65]  ********************

$ txtgmovie --column=companyNm --limit=5 
(주)샤이커뮤니케이션즈  [132]  ███████▏
(주)소나무픽쳐스     [192]  ██████████▎
(주)영화사가을      [746]  ████████████████████████████████████████
(주)케이알씨지      [230]  ████████████▍
스마일컨텐츠        [192]  ██████████▎

$ txtgmovie --star=True --column=genreAlt    
공포(호러)              [ 311]  ******
다큐멘터리               [ 504]  **********
드라마                 [1520]  ****************************
멜로/로맨스              [2214]  ****************************************
멜로/로맨스,드라마          [1568]  *****************************
성인물(에로)             [1922]  ***********************************
성인물(에로),드라마,멜로/로맨스  [ 326]  ******
성인물(에로),멜로/로맨스      [ 374]  *******
애니메이션               [ 451]  *********
액션                  [ 351]  *******

$ txtgmovie --help                                                                                                                                                     
 Usage: txtgmovie [OPTIONS]                                                                                                                                
                                                                                                                                                           
 특정 컬럼을 기준으로 그룹화하여 데이터 개수를 세고 시각화하는 함수                                                                                        
 Args:   column (str, optional): 그룹화할 컬럼 명 (기본값: 'year').   star (str, optional): 그래프 축 라벨에 별 문자 사용 여부 (기본값: "False").          
 'True'이면 사용, 'False'이면 사용하지 않음.   limit (int, optional): 상위 N개 그룹만 표시할지 여부 (기본값: 10).                                          
 Returns:   None                                                                                                                                           
                                                                                                                                                           
╭─ Options ──────────────────────────────────────────────────────────────╮
│ --column        TEXT  [default: year]                                  │
│ --star          TEXT  [default: False]                                 │
│ --limit         TEXT  [default: 10]                                    │
│ --help                Show this message and exit.                      │
╰────────────────────────────────────────────────────────────────────────╯

if you're a developer

$ git clone ... & cd ...

$ pdm venv create
$ source .venv/bin/activate
$ pdm install

$ pytest --cov
================ test session starts =================
platform linux -- Python 3.11.9, pytest-8.3.2, pluggy-1.5.0
configfile: pyproject.toml
plugins: cov-5.0.0

---------- coverage: platform linux, python 3.11.9-final-0 -----------
Name                      Stmts   Miss  Cover
---------------------------------------------
src/pytchat/__init__.py       0      0   100%
src/pytchat/com.py            2      0   100%
tests/__init__.py             0      0   100%
tests/test_com.py             4      0   100%
---------------------------------------------
TOTAL                         6      0   100%


================= 1 passed in 0.05s ==================

Ref

Metadata

Release files for pytxtchat 0.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pytxtchat 0.5.0
File Size Uploaded
pytxtchat-0.5.0.tar.gz 681.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pytxtchat 0.5.0
File Interpreter ABI Platform
pytxtchat-0.5.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.4 MB

Release files / pytxtchat-0.5.0.tar.gz

Download URL pytxtchat-0.5.0.tar.gz
Size 681.1 kB
Tags Source
SHA-256 checksum
How to use checksums
8a284a69b581ef30438b8664d3b4cd52dfd36dda6d0a24b7e268d9a0c18742fb
BLAKE2b-256 checksum
How to use checksums
33dab0d3f1de8ffb83b44fec177592340f6a39ee08136c15b44124511515f83b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via pdm/2.18.1 CPython/3.12.4 Linux/5.15.153.1-microsoft-standard-WSL2

Release files / pytxtchat-0.5.0-py3-none-any.whl

Download URL pytxtchat-0.5.0-py3-none-any.whl
Size 680.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f94d58813747f2cb88a3394c4c86c3b30476fb80b440455d63ce08b77595047f
BLAKE2b-256 checksum
How to use checksums
652f0eddb2d27fee8e47fb06e6493e63e0b8b9acf0ecff7f3e1fd0253635354d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via pdm/2.18.1 CPython/3.12.4 Linux/5.15.153.1-microsoft-standard-WSL2

Release history Release notifications | RSS feed

This release

0.5.0 This release

2 release files

0.4.0

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page