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auto-preprocess GL to upload spotlight

Project description

SPOTLIGHT

Ver

v0.0.6 DD 231218

목적

Spotlight upload를 위한 정형화된 전처리 자동화

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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  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.2

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