**Steps to reproduce:**
1. Install module `l10n_pe_edi`.
2. Switch company to PE.
3. Create a tax:
   - Name: ICBPER
   - Amount type: Fixed
   - Code: ICBPER
   - Amount: 0.5(e.g.)
   - Set the tax group to ICBPER (In Advance Option)
4. Create a invoice and add a product with ICBPER tax.
5. Post the invoice and click "Process Now" (at header).

**Issue:**
Processing the invoice raises:
    AttributeError: 'dict' object has no attribute '_get_downpayment_lines'

**Cause:**
When `fixed_taxes_as_allowance_charges` is True, `_setup_base_lines()` calls `_turn_emptying_taxes_as_new_base_lines()`, which splits fixed taxes (e.g., ICBPER) into separate base lines.

During this process, `base_line['record']` is no longer the original `account.move.line` record. Instead, it becomes a dictionary containing record under `base_line['record']['record']`.
  - With the flag enabled: `base_line['record']` -> dict `line._get_downpayment_lines()` -> AttributeError
  - With the flag disabled: `base_line['record']` -> `account.move.line``line._get_downpayment_lines()` -> works correctly
 
The Peru EDI implementation directly accesses `base_line['record']` expecting an `account.move.line`. The the nested dict structure causes the crash during file generation.

**Solution:**
Override `_add_invoice_config_vals()` to explicitly set `fixed_taxes_as_allowance_charges = False`
- Add test to ensure invoices with ICBPER fixed taxes generate XML without error

**opw-5809939**

**Steps to reproduce**
1. Have an employee using a flexible schedule
2. Create a slot from e.g. 20PM to 4AM for this employee. Make
sure this is the only slot that week for the employee.
3. Publish the Schedule and send it to the employee. Open the
outgoing mail to access the link to the planning view.

Issue: the slot is not visible in the week view.

**Cause**
https://github.com/odoo/enterprise/blob/04a885dbb6eed96297cb5ce9a155ebf8e169427c/planning/controllers/main.py#L193-L194
The `event_hour_min` and `event_hour_max` returned by `planning_get`
and used to control the min/max hours displayed in the week view,
didn't account for slots over multiple days.
For a slot between 20pm and 4am, the `event_hour_max` should be the
end of the day, and the `event_hour_min` should be the start of the
day.

**Solution**
- we change the `event_hour_min` and `event_hour_max` for multi-day
slots to display the full days in the week view
- the previous point has the drawback of displaying the full days
for non-flexible employees even when not necessary. This is because
`slots_start_datetime` and `slots_end_datetime` contained the
`planning.slot` start and end. Instead, we can look at the actual
slot values displayed (by `_get_slots_vals`). For example, a 5 day
slot for a non-flexible employee may contain actual slot values
corresponding to a typical 8-17 working day.

opw-5245985

Forward-Port-Of: odoo/enterprise#99784

The Batch Account Move Lines option in the settings is used to aggregate together the different payslips of a payrun and to create only one move with aggregated lines, per account. This is done to enforce privacy and avoid having lines for each employee in the payrun. If salary rules with analytic distributions are involved, though, the lines are not merged and we lose the anonimity.

This happens because in the _get_existing_lines funciton, that should return the lines to be merged with the input line (line), the condition for the rules that have an analytic distribution is wrong.

In particular, the condition is wrong because the
distribution_analytic_account_ids field is a recordset of the accounts, while line_id['analytic_distribution'] is a dictionary with keys that are comma separated strings of the ids of the accounts, with values reflecting the percentage.

For example, if a rule has one analytic distribution for 40% and involving accounts 13,7 and 12 + another analytic distribution for 60% involving accounts 3 and 5, line_id['analytic_distribution'] will be {'13,7,12': 40.0, '3,5': 60.0} while distribution_analytic_etc will be a recordset containing (13,7,12,3,5). To fix the problem and keep everything inline, we extract the logic to a new function, where we first unravel the ids from the keys of the dictionary and only then try to match them to the values in the recordset.

Task: 6043957