| import os |
| import sys |
| import pandas as pd |
|
|
| from lib.experiment_specs import study_config |
| from lib.utilities import codebook |
| from lib.data_helpers.confidential import Confidential |
|
|
|
|
| class ManualChanges(): |
|
|
| @staticmethod |
| def manual_clean(df,survey,manual_changes_path): |
| survey_code = study_config.surveys[survey]["Code"] |
|
|
| appcode_changes = pd.read_excel(manual_changes_path, sheet_name="AppCodes").to_dict(orient='index') |
| for index, value in appcode_changes.items(): |
| if value["Old"][0] != "A": |
| print("AppCodes must begin with 'A'") |
| sys.exit() |
|
|
| if value["Old"] not in list(df["AppCode"].unique()): |
| print(f"Couldn't find old appcode {value['Old']}") |
| else: |
| df.loc[df["AppCode"] == value["Old"], "AppCode"] = value["New"] |
| print(f"Replaced AppCode {value['Old']} with {value['New']}") |
|
|
| manual_changes = pd.read_excel(manual_changes_path, sheet_name="General") |
| man_c = manual_changes.to_dict(orient='index') |
| survey_codes = [study_config.surveys[x]["Code"] + "_" for x in study_config.surveys] |
|
|
| for key, value in man_c.items(): |
| variable = value["Variable"] |
|
|
| |
| if variable.startswith(tuple(survey_codes)): |
| prefix_code = variable.split("_", 1)[0] |
| variable = variable.split("_", 1)[1] |
|
|
| |
| if prefix_code == survey_code: |
| df = ManualChanges.manual_replace(df,value,variable) |
|
|
| |
| elif (variable in study_config.main_cols+study_config.embedded_main_cols) and (variable in df.columns): |
| df = ManualChanges.manual_replace(df,value,variable) |
| else: |
| continue |
|
|
| return df |
|
|
| @staticmethod |
| def manual_replace(df, value, variable): |
| if variable not in df.columns: |
| return df |
| else: |
| try: |
| if value["AppCode"] not in list(df["AppCode"].unique()): |
| print(f"Manual change did not occur for {value['AppCode']}'s {variable} to {value['NewValue']} b/c appcode was not found") |
|
|
| else: |
| df.loc[df["AppCode"] == value["AppCode"], variable] = value["NewValue"] |
| print(f"Changed {variable} for {value['AppCode']} to {value['NewValue']}") |
| except: |
| print(f"{variable} does not seem to be in dataframe") |
| return df |
