sales forecasting
routes | ||
setup_sql | ||
.env-sample | ||
.gitignore | ||
certs.sh | ||
index.js | ||
LICENSE | ||
package-lock.json | ||
package.json | ||
readme.md |
pre-requisites
- setup postgres db with a username and password and database
setup
setup_sql/01_schema.sql
setup the application tables- create a table of data to forecast
setup_sql/02_target_info.sql
to populate the meta table (edit table name)- fill out the
target_meta
table setup_sql/03_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)
- 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
- 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?