| --- a/forecast_api/storage/postgres_connection.py | |
| +++ b/forecast_api/storage/postgres_connection.py | |
| @@ -1,7 +1,7 @@ | |
| import contextlib | |
| import logging | |
| -import psycopg2 | |
| +import pg8000.dbapi | |
| logger = logging.getLogger(__name__) |
| // input is two ascending sorted arrays | |
| // output is the product of the two arrays sorted ascending | |
| // inputs | |
| const input1 = [1, 2, 3, 4, 99]; | |
| const input2 = [8, 10, 99, 101, 102]; | |
| // define variables needed in loop | |
| let output = []; | |
| let pointer1 = 0; |
Note: This is the first export from production of the pipeline notification emails (just the table data) for each company and then each user in the company.
Generating notifications for 58 companies
To email: aaron.gaunt@igbrands.com
| user_id | user_email | user_first_name | user_last_name | created | regressed | progressed |
|---|---|---|---|---|---|---|
| 165 | aaron.gaunt@igbrands.com | Aaron | Gaunt | 0 | 0 | 0 |
| 166 | austin.herzer@vivehealth.com | Austin | Herzer | 0 | 0 | 0 |
| 173 | daniela.catena@vivehealth.com | Dani | Catena | 0 | 0 | 0 |
