line_fucntion.py

import pandas as pd
#DEF ZONE
def line_header(CHANNEL_LINE):
    LINE_HEADER = {"Content-Type": "application/json", "Authorization": f"Bearer {CHANNEL_LINE}"}
    return LINE_HEADER

def add_new_line_audience(file_path, audience_name, id_column='line_uid', description_key='description', is_ifa_audience="false"):
    '''
    Generates a payload for creating a new LINE audience based on a CSV file containing user IDs.
    Args:
        file_path (str): The path to the CSV file containing the audience data.
        audience_name (str): The name or description of the audience, which will be included in the payload.
        id_column (str, optional): The column name in the CSV file that contains the unique audience IDs. Default is 'line_uid'.
        description_key (str, optional): The key name used in the payload for the audience description. Default is 'description'.
        is_ifa_audience (str, optional): A flag indicating whether the audience is an IFA audience. Default is "false".
    Returns:
        dict: A dictionary payload with the following structure:
            {
                "description_key": "audience_name",
                "isIfaAudience": "is_ifa_audience",
                "audiences": [{"id": audience_id_1}, {"id": audience_id_2}, ...]
            }
        The 'audiences' list will contain the unique audience IDs found in the specified `id_column` of the CSV.
    '''
    
    df = pd.read_csv(file_path)
    payload = {
        description_key: audience_name,
        "isIfaAudience": is_ifa_audience,
        "audiences": []
    }

    # Loop through the unique audience IDs and add them to the payload
    for audience_id in df[id_column].unique():
        payload["audiences"].append({"id": audience_id})

    return payload


def update_line_audience(file_path, audience_id):
    '''
    Generates a payload to update an existing LINE audience group with user IDs from a CSV file.
    Args:
        file_path (str): The path to the CSV file containing the audience data.
        audience_id (int or str): The ID of the existing audience group that needs to be updated.
    Returns:
        dict: A dictionary payload with the following structure:
            {
                "audienceGroupId": audience_id,
                "audiences": [{"id": audience_id_1}, {"id": audience_id_2}, ...]
            }
        The 'audiences' list will contain the unique audience IDs found in the 'line_uid' column of the CSV.
    '''
    
    # Load the CSV into a DataFrame
    df = pd.read_csv(file_path)
    
    # Prepare the payload with the audience group ID and empty audiences list
    payload = {
        "audienceGroupId": int(audience_id),
        "audiences": []
    }

    # Loop through the unique audience IDs and add them to the payload
    for audience_id in df['line_uid'].unique():
        payload["audiences"].append({"id": audience_id})

    return payload


def single_message(message):
    json =  {
            "type": "text",
            "text": f"{message}",
          }
    return json


def message_push(to, messageObject):
    json = {
        "to": to,
        "messages":messageObject
        }
    return json

def image_map_single(altText, imageLink, ladingpage, width, height):
    data =  {
        "type": "imagemap",
        "baseUrl": imageLink,
        "altText": altText,
        "baseSize": {
            "width": int(width),
            "height": int(height)
        },  "actions": [
            {
            "type": "uri",
            "linkUri": ladingpage,
            "area": {
                "x": 0,
                "y": 0,
                "width": int(width),
                "height": int(height)
            }
            }]
        }
    return data