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auto-preprocess GL to upload spotlight

Project description

SPOTLIGHT

Ver

v0.0.8 DD 231219

목적

Spotlight upload를 위한 정형화된 전처리 자동화

작동방법

pip install spotlighter import spotlight as sl sl.run()

주요기능

  1. 전처리
  • Excel to Text
  • concatenate text
  • check text header (TEST)
  • Merge Text (i.e. BSEG+BKPF) (if already set df, automatically transferred to dfA)
  1. DF to SQL(IMPORT)
  • To Insert to SQL, Read columns'length
  • Create Table => with mySQL
  • Import file and Insert to DB
  1. MAIN RUN
  • Read text to dataframe
  • Auto_MAP : MAP_GL.xlsx 파일을 활용하여 columns 자동 매핑 + 추가
  • Modify mode(After Auto_MAP)
  • To recon G/L and T/B, export SUM(AMT LC)groupby Acct

3-1. MODIFY MOD

3-1-1. 전처리-전표금액

  • replace string (Kill comma, space, regex etc.)
  • Apply DC (차변은 +, 대변은 - 처리)
  • To Minus () or - : 문자열 () 또는 후위-인 경우 마이너스로 변환
  • Multiple 100 : 곱하기 100
  • FROM 전표금액 TO 차대금액 : signed 전표금액에서 unsigned 차변/대변을 생성한다.
  • FILLNA(0) : N/A를 0으로 채운다.
  • 자동수동 : 특정 컬럼값(전표성격, 사용자 등)이 특정 문자열(복수 가능)을 포함하는 행을 A로 지정

3-1-2. 전처리-기타

  • drop a column
  • drop duplicate
  • Change column name
  • Change column datatype
  1. SAVE TO..
  • Save text
  • Save a part of df(특정 계정과목 추출 등)
  1. 일반기능
  • MANUAL HANDLING - DEBUG
  • df.info()
  • df.head(10)

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