def log_field_changes(new_dict, old_dict):
ignored_fields = ["modified", "creation", "__onload"]
for k, v in old_dict.iteritems():
if type(new_dict[k]) != type(old_dict[k]):
new_dict[k] = str(new_dict[k])
old_dict[k] = str(old_dict[k])
if new_dict[k] != old_dict[k] and k not in ignored_fields:
doc = {
"doctype": get_analytics_doctype_name(old_dict['doctype']),
"changed_doctype": new_dict['doctype'],
"changed_doc_name": new_dict['name'],
"fieldname": k,
"old_value": old_dict[k],
"new_value": new_dict[k],
"modified_by_user": new_dict["modified_by"],
"date": new_dict["modified"]
}
# can't save old/new value as list -> means child table.
if type(doc['old_value']) is not list:
make_doctype_maybe(doc['doctype'])
history = Document(doc)
history.insert()
else:
for idx, entry in enumerate(doc['old_value']):
log_field_changes(doc['new_value'][idx], entry)
def log_field_changes(new_dict, old_dict):
ignored_fields = ["modified", "creation", "__onload"]
for k, v in old_dict.iteritems():
if type(new_dict[k]) != type(old_dict[k]):
new_dict[k] = str(new_dict[k])
old_dict[k] = str(old_dict[k])
if new_dict[k] != old_dict[k] and k not in ignored_fields:
doc = {
"doctype": get_analytics_doctype_name(old_dict['doctype']),
"changed_doctype": new_dict['doctype'],
"changed_doc_name": new_dict['name'],
"fieldname": k,
"old_value": old_dict[k],
"new_value": new_dict[k],
"modified_by_user": new_dict["modified_by"],
"date": new_dict["modified"]
}
# can't save old/new value as list -> means child table.
if type(doc['old_value']) is not list:
make_doctype_maybe(doc['doctype'])
history = Document(doc)
history.insert()
else:
for idx, entry in enumerate(doc['old_value']):
log_field_changes(doc['new_value'][idx], entry)
def log_field_changes(new_dict, old_dict):
ignored_fields = ["modified", "creation", "__onload"]
for k, v in old_dict.iteritems():
# these are commented out b/c they're causing issues with datetimes
# string comparison is wrong, says they're changed b/c Y-m-d != m-d-Y
# if type(new_dict[k]) != type(old_dict[k]):
# new_dict[k] = str(new_dict[k])
# old_dict[k] = str(old_dict[k])
if new_dict[k] != old_dict[k] and k not in ignored_fields:
doc = {
"doctype": get_analytics_doctype_name(old_dict['doctype']),
"changed_doctype": new_dict['doctype'],
"changed_doc_name": new_dict['name'],
"fieldname": k,
"old_value": old_dict[k],
"new_value": new_dict[k],
"modified_by_user": new_dict["modified_by"],
"date": new_dict["modified"]
}
# can't save old/new value as list -> means child table.
if type(doc['old_value']) is not list:
make_doctype_maybe(doc['doctype'])
history = Document(doc)
history.insert()
else:
for idx, entry in enumerate(doc['old_value']):
log_field_changes(doc['new_value'][idx], entry)
def make_doc(new_dict, old_dict, k):
doc = prep_doc(new_dict, old_dict, k)
if type(doc['new_value']) is not list:
make_doctype_maybe(doc['doctype'])
history = Document(doc)
history.insert()
elif doc['old_value'] != None:
for idx, entry in enumerate(doc['old_value']):
log_field_changes(doc['new_value'][idx], entry)
def insert_new_doc(dictionary):
ignored_fields = ["modified", "creation", "__onload"]
for k, v in dictionary.iteritems():
if k not in ignored_fields:
doc = {
"doctype": get_analytics_doctype_name(dictionary['doctype']),
"changed_doctype": dictionary['doctype'],
"changed_doc_name": dictionary['name'],
"fieldname": k,
"old_value": None,
"new_value": dictionary[k],
"modified_by_user": dictionary["modified_by"],
"date": dictionary["modified"]
}
if type(doc['new_value']) is not list:
make_doctype_maybe(doc['doctype'])
history = Document(doc)
history.insert()
else:
for idx, entry in enumerate(doc['new_value']):
insert_new_doc(doc['new_value'][idx])
