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import delete_command
import time
#function to resolve conflict in policies
def conflict_fun(df, ind, intent_host_arr, intent_dict_main, policy_dict, workflow_url):
# if an existing intent conflicts with new intent then resolve the conflict
if df['host'][ind] in intent_host_arr and df['threat'][ind] == intent_dict_main['threat'] and policy_dict[
'priority'] < df['priority'][ind]:
#intent_host_arr is the array containing the host(s) for which the intent(s) apply
for i in range(len(intent_host_arr)):
if ind < len(df.index) and not df.empty:
if intent_host_arr[i] == df['host'][ind] and df['threat'][ind] == intent_dict_main['threat'] and policy_dict[
'priority'] < df['priority'][ind]:
#call the delete_intents_fun function which sends a json with ID of intent to delete to the RTR
delete_command.delete_intents_fun(df['intent_id'][ind], workflow_url)
time.sleep(1)
#remove this intent to be deleted from the intent store and reshuffle the intent store
df = df.drop(df.index[ind])
df = df.reset_index(drop=True)
#write the modified dataframe to the intent store
df.to_csv('intent_store.csv', index=False)
#repeat the process for the next intent in the intent store
ind = ind + 1
if ind < len(df.index) and not df.empty:
print('resolved a conflict and continues')
conflict_fun(df, ind, intent_host_arr, intent_dict_main, policy_dict, workflow_url)
else:
print('conflicts resolved')
#if an existing intent doesn't conflict with new intent then move to the next intent in the intent store
else:
ind3 = ind + 1
if ind3 < len(df.index) and not df.empty:
conflict_fun(df, ind3, intent_host_arr, intent_dict_main, policy_dict, workflow_url)
else:
print('ok')