pre-requisites
* setup postgres db with a username and password and database

setup
* `setup_sql/schema.sql` setup the application tables 
* create a table of data to forecast
* `setup_sql/target_info.sql` to populate the meta table (edit table name)
* fill out the `target_meta` table
* `setup_sql/build_maste_tables.sql` to create master data tables from forecast data
* `./routes/baseline/generate_route_sql.sh` to create the baseline sql used by the /baseline route

| schema  | tname   | cname          | opos | func         | fkey         | fcol           | dtype   | appcol       | pretty | 
| ------- | ------- | -------------- | ---- | ------------ | ------------ | -------------- | ------- | ------------ | ------ | 
| fc      | live    | fb_cst_loc     | 91   | cost         |              | fb_cst_loc     | numeric |              |        | 
| fc      | live    | ship_cust      | 36   | scust        | scust        | ship_cust      | text    |              |        | 
| fc      | live    | rdate          | 98   | rdate        | rdate        | drange         | date    |              |        | 
| fc      | live    | geo            | 42   | scust        |              | geo            | text    | customer     |        | 
| fc      | live    | part           | 54   | item         | item         | part           | text    | item         |        | 
| fc      | live    | odate          | 96   | odate        | odate        | drange         | date    | order_date   |        | 
| fc      | live    | sdate          | 100  | sdate        | sdate        | sdate          | date    | ship_date    |        | 
| fc      | live    | oseas          | 97   | odate        |              | ssyr           | integer |              |        | 
| fc      | live    | calc_status    | 94   | order_status | order_status | calc_status    | text    | order_status |        | 
| fc      | live    | rseas          | 99   | rdate        |              | ssyr           | integer |              |        | 
| fc      | live    | sseas          | 101  | sdate        |              | ssyr           | integer |              |        | 
|         |         |                |      |              |              |                |         | version      |        | 
|         |         |                |      |              |              |                |         | iter         |        | 
|         |         |                |      |              |              |                |         | logid        |        | 

* func: 
    * a foreign key and table is setup (except date types)
    * baseline function does a group-by to compact data for any func/appcol and value types are aggregated
* fkey: 
    * primary key of assoicated data and foreign key basis
    * for date types no foreign key is setup, but dynamic table joins use the fkey field to join on
* fcol: associated field from the master data table if it is different (oseas would refer to ssyr in fc.perd)
* pretty: display column name (user friendly)
* appcol: flag columns that will be needed by the application
    * order_date
    * ship_date
    * customer
    * item
    * order_stats
    * units
    * cost
    * value
    * version (added if missing)
    * iter    (added if missing)
    * logid   (added if missing)

issues
 - [ ] baseline request json is not depostiing correctly into the sql
 - [ ] what if you create a func table but some of the values are null? (orders without quotes)
 - [x] what if you want certain things like invoice numbers included in the baseline, is a func table necesary? no, just leave fkey null and no table will be setup
 - [ ] baseline needs to populate all columns in sequential order like the scale route
 - [ ] what if there is more than one table in fc.target_meta
 - [x] validate the ability to join to associated date tables, for example order season that needs incremented
 - [ ] there is not currently any initial grouping to limit excess data from all the document# scenarios
 - [ ] how to handle a target value adjustment, which currency is it in?