Build API-powered customer dashboards

# Step 1: Extract the data from the API response
data = metronome_api_response['data']

# Step 2: Create a dictionary to store the processed data
processed_data = {}

# Step 3: Iterate through the data and organize it by date and region
for item in data:
    date = item['starting_on']
    region = item['group_value']
    value = item['value']

    if date not in processed_data:
        processed_data[date] = {}

    processed_data[date][region] = value

# Step 4: Create a list of unique regions and sort them
regions = sorted(set(item['group_value'] for item in data))

# Step 5: Prepare the data for charting
chart_data = []
for date in sorted(processed_data.keys()):
    data_point = {'date': date}
    cumulative_value = 0
    for region in regions:
        value = processed_data[date].get(region, 0)
        data_point[f"{region}_start"] = cumulative_value
        cumulative_value += value
        data_point[f"{region}_end"] = cumulative_value
    chart_data.append(data_point)

# Return chart data for frontend chart library usage
return chart_data

# Step 1: Extract the data from the Metronome API response
data = metronome_api_response['data']

# Step 2: Initialize variables for overall totals
total_granted = 0
total_used = 0

# Step 3: Process each grant
processed_grants = []
for item in data:
    grant_id = item['id']
    grant_type = item['type']
    product_name = item['product']['name']

    # Calculate total granted for this item
    granted = sum(schedule_item['amount'] for schedule_item in item['access_schedule']['schedule_items'])

    # Get remaining amount
    remaining = item['balance']

    # Calculate used amount
    used = granted - remaining

    # Add to overall totals
    total_granted += granted
    total_used += used

    # Add grant info to list
    processed_grants.append({
        'id': grant_id,
        'type': grant_type,
        'product_name': product_name,
        'granted': granted,
        'used': used,
        'remaining': remaining
    })

# Step 4: Calculate total remaining
total_remaining = total_granted - total_used

# Step 5: Prepare result
result = {
    'grants': processed_grants,
    'total': {
        'granted': total_granted,
        'used': total_used,
        'remaining': total_remaining
    }
}

# Step 6: Return processed data for frontend use
return result

# Step 1: Extract the data from the Metronome API response
data = metronome_api_response['data']

# Step 2: Create a dictionary to store the processed data
processed_data = {}

# Step 3: Iterate through the data and organize it by date and region
for item in data:
    date = item['breakdown_start_timestamp']
    for line_item in item['line_items']:
        region = line_item['presentation_group_values']['region']
        value = line_item['total'] / 100  # Convert cents to dollars

        if date not in processed_data:
            processed_data[date] = {}

        if region not in processed_data[date]:
            processed_data[date][region] = 0

        processed_data[date][region] += value

# Step 4: Create a list of unique regions and sort them
regions = sorted(set(region for date_data in processed_data.values() for region in date_data.keys()))

# Step 5: Prepare the data for charting
chart_data = []
for date in sorted(processed_data.keys()):
    data_point = {'date': date}
    for region in regions:
        data_point[region] = processed_data[date].get(region, 0)
    chart_data.append(data_point)

# Return chart data for frontend chart library usage
return chart_data