Problem:
When running the MPS report on a large number of production schedules, if the associated number of stock moves is high, the _get_moves_and_date method can cause a memory error.

Solution:
We will fetch only the necessary fields to reduce queries and memory usage and set prefetch_fields=False to further reduce memory usage.

Benchmarks:
Run locally on a dupe of customer's db.
Time/queries measured by requests to /get_mps_view_state Memory measured using memray on method get_production_schedule_view_state()

<table>
   <tr>
      <th rowspan="2"># of Production Schedules</th>
      <th colspan="3">Before</th>
	   <th colspan="3">After</th>
   </tr>
   <tr>
      <th>Time</th>
      <th># of Queries</th>
	   <th>Memory usage</th>
      <th>Time</th>
      <th># of Queries</th>
	   <th>Memory usage</th>
   </tr>
   <tr>
      <td>20</td>
      <td>22.846s</td>
      <td>1,379</td>
      <td>882.0MB</td>
      <td>8.046s</td>
      <td>1,180</td>
      <td>103.4MB</td>
   </tr>
   <tr>
      <td>300</td>
      <td>41.098s</td>
      <td>6,297</td>
      <td>1.0GB</td>
      <td>43.694s</td>
      <td>5,732</td>
      <td>363.5MB</td>
   </tr>
	<tr>
      <td>1000</td>
      <td>N/A (MemoryError)</td>
      <td>N/A (MemoryError)</td>
      <td>>2GB</td>
      <td>88.416s</td>
      <td>22,629</td>
      <td>1.1GB</td>
   </tr>
</table>
Average memory usage reduction: 75%


opw-5225472

Forward-Port-Of: odoo/enterprise#106392