Exemple #1
0
def load_profile_recommendations(analysed_order, forecast, transaction_log_id):
    recommend = run_profile_recommendation(analysed_orders=analysed_order, forecast=forecast)
    rec = ProfileRecommendation()
    rec.transaction_id = int(transaction_log_id.id)
    rec.statement = recommend.get('profile')
    db.session.add(rec)
    db.session.commit()
def recommendations(analysed_orders: UncertainDemand, forecast: dict) -> dict:
    """ Generate Recommendations for each SKU and the inventory Profile.

    Args:
        analysed_orders (UncertainDemand):  UncertainDemand object of analysed orders.
        forecast (dict):                    Output from a Forecast.

    Returns:
        dict:   Returns recommendations for each sku and for the inventory profile.

    Examples:
    >>> from decimal import Decimal
    >>> from supplychainpy.sample_data.config import ABS_FILE_PATH
    >>> from supplychainpy.model_inventory import analyse
    >>> from supplychainpy.model_inventory import recommendations
    ...
    >>> analysed_order = analyse(file_path=ABS_FILE_PATH['COMPLETE_CSV_SM'],
    ...                                        z_value=Decimal(1.28),
    ...                                          reorder_cost=Decimal(5000),
    ...                                          file_type="csv", length=12,currency='USD')
    ...
    >>> holts_forecast = {analysis.sku_id: analysis.holts_trend_corrected_forecast for analysis in
    ...                     analyse(file_path=ABS_FILE_PATH['COMPLETE_CSV_SM'], z_value=Decimal(1.28),
    ...                                          reorder_cost=Decimal(5000), file_type="csv",
    ...                                          length=12,currency='USD')}
    ...
    >>> recommend = recommendations(analysed_orders=analysed_order, forecast=holts_forecast)
    """

    recommend = {'sku_recommendations': run_sku_recommendation(analysed_orders=analysed_orders, forecast=forecast),
                 'profile_recommendations': run_profile_recommendation(analysed_orders=analysed_orders, forecast=forecast),
                 }

    return recommend
def recommendations(analysed_orders: UncertainDemand, forecast: dict) -> dict:
    """ Generate Recommendations for each SKU and the inventory Profile.

    Args:
        analysed_orders (UncertainDemand):  UncertainDemand object of analysed orders.
        forecast (dict):                    Output from a Forecast.

    Returns:
        dict:   Returns recommendations for each sku and for the inventory profile.

    Examples:
    >>> from decimal import Decimal
    >>> from supplychainpy.sample_data.config import ABS_FILE_PATH
    >>> from supplychainpy.model_inventory import analyse
    >>> from supplychainpy.model_inventory import recommendations
    ...
    >>> analysed_order = analyse(file_path=ABS_FILE_PATH['COMPLETE_CSV_SM'],
    ...                                        z_value=Decimal(1.28),
    ...                                          reorder_cost=Decimal(5000),
    ...                                          file_type="csv", length=12,currency='USD')
    ...
    >>> holts_forecast = {analysis.sku_id: analysis.holts_trend_corrected_forecast for analysis in
    ...                     analyse(file_path=ABS_FILE_PATH['COMPLETE_CSV_SM'], z_value=Decimal(1.28),
    ...                                          reorder_cost=Decimal(5000), file_type="csv",
    ...                                          length=12,currency='USD')}
    ...
    >>> recommend = recommendations(analysed_orders=analysed_order, forecast=holts_forecast)
    """

    recommend = {'sku_recommendations': run_sku_recommendation(analysed_orders=analysed_orders, forecast=forecast),
                 'profile_recommendations': run_profile_recommendation(analysed_orders=analysed_orders, forecast=forecast),
                 }

    return recommend
Exemple #4
0
def load_profile_recommendations(analysed_order, forecast, transaction_log_id):
    recommend = run_profile_recommendation(analysed_orders=analysed_order,
                                           forecast=forecast)
    rec = ProfileRecommendation()
    rec.transaction_id = int(transaction_log_id.id)
    rec.statement = recommend.get('profile')
    db.session.add(rec)
    db.session.commit()