Below is a Python code snippet that generates a FULL DECLARE model from the given process logs using the pm4py library. 

```Python
from pm4py import barrett
from pm4py.objects.log.importer.xes import importer as xes_importer
import os
import pandas as pd
import pm4py
from pm4py.objects.conversion.log import converter as log_converter

# specify the path to the log file
log_file = 'path_to_your_log_file.xes'

# import the log file
log = xes_importer.import_xes(log_file)

# convert the log into a pm4py log object
log_converter.apply(log, variant=log_converter.Variant.TO_STATE_M machine_ACCEPTANCE_FORMAT)

# create a DECLARE model based on a process log file
declare_model = barrett.declareDeclareModel(log)

# specify the output path for the DECLARE model
declare_output_path = 'path_to_output_file.json'

# save the DECLARE model to a JSON file
barrett.apply(declare_model, declare_output_path)

print("DECLARE model generated and saved to JSON file.")
```
However, the above code works only with a single log file. If you have multiple log files, you have to apply the following modifications:
 
```Python
from pm4py import barrett
from pm4py.objects.log.importer.xes import importer as xes_importer
import os
from pm4py.objects.log.util import to_dataframe as df_convert
from pm4py.objects.conversion.log import conversion as log_converter
import pm4py


def declareDeclare(log_path, output_path):
    log = xes_importer.import_xes(log_path)
    log_df = df_convert.to_dataframe(log)

    declare_model = barrett.declareDeclareModel(log, configurator=pm4py.get_options())
    barrett.apply(declare_model, output_path)
    return declare_model


# path to the log file
log_path = 'path_to_your_log_file.xes'
# path to output file
output_path = 'path_to_output_file.json'

# apply declare model minizoo
declareDeclare(log_path, output_path)
```

In case you want to get the DECLARE model from multiple log files you should modify this part of the function:

```Python
log_df = log_converter.apply(log, parameters={'direct': True, 'transpose_events': False})
```

Don't forget to substitute 'path_to_your_log_file.xes' and 'path