feat: Optional Fuzzy Matching & Skip Matches for multiple similar matches
- Fuzzy matching can be enabled optionally in the settings - If a query gets multiple matches with the same score, do not set a party as it is an extremely close call - misc: Add 'cancelled' status to Bank transaction - Test for skipping matching with extremely close matches
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@ -64,7 +64,8 @@
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"tab_break_dpet",
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"show_balance_in_coa",
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"banking_tab",
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"enable_party_matching"
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"enable_party_matching",
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"enable_fuzzy_matching"
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],
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"fields": [
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{
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@ -404,6 +405,14 @@
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"fieldname": "enable_party_matching",
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"fieldtype": "Check",
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"label": "Enable Automatic Party Matching"
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},
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{
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"default": "0",
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"depends_on": "enable_party_matching",
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"description": "Approximately match the description/party name against parties",
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"fieldname": "enable_fuzzy_matching",
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"fieldtype": "Check",
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"label": "Enable Fuzzy Matching"
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}
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],
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"icon": "icon-cog",
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@ -411,7 +420,7 @@
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"index_web_pages_for_search": 1,
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"issingle": 1,
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"links": [],
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"modified": "2023-04-21 13:11:37.130743",
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"modified": "2023-05-17 12:20:04.107641",
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"modified_by": "Administrator",
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"module": "Accounts",
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"name": "Accounts Settings",
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@ -35,13 +35,15 @@ class AutoMatchParty:
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return self.__dict__.get(key, None)
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def match(self) -> Union[Tuple, None]:
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result = None
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result = AutoMatchbyAccountIBAN(
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bank_party_account_number=self.bank_party_account_number,
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bank_party_iban=self.bank_party_iban,
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deposit=self.deposit,
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).match()
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if not result:
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fuzzy_matching_enabled = frappe.db.get_single_value("Accounts Settings", "enable_fuzzy_matching")
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if not result and fuzzy_matching_enabled:
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result = AutoMatchbyPartyDescription(
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bank_party_name=self.bank_party_name, description=self.description, deposit=self.deposit
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).match()
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@ -184,31 +186,66 @@ class AutoMatchbyPartyDescription:
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for party in parties:
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name_field = party.lower() + "_name"
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filters = {"status": "Active"} if party == "Employee" else {"disabled": 0}
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names = frappe.get_all(party, filters=filters, pluck=name_field)
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for field in ["bank_party_name", "description"]:
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if not result and self.get(field):
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result = self.fuzzy_search_and_return_result(party, names, field)
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if result:
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if not self.get(field):
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continue
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result, skip = self.fuzzy_search_and_return_result(party, names, field)
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if result or skip:
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break
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if result or skip:
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# We skip if:
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# If it was hard to distinguish between close matches and so match is None
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# OR if the right match was found
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break
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return result
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def fuzzy_search_and_return_result(self, party, names, field) -> Union[Tuple, None]:
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result = process.extractOne(query=self.get(field), choices=names, scorer=fuzz.token_set_ratio)
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skip = False
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result = process.extract(query=self.get(field), choices=names, scorer=fuzz.token_set_ratio)
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party_name, skip = self.process_fuzzy_result(result)
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if not party_name:
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return None, skip
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if result:
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party_name, score, index = result
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if score > 75:
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# Dont set description as a key in Bank Party Mapper due to its volatility
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mapper = {"bank_party_name": self.get(field)} if field == "bank_party_name" else None
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return (
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party,
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party_name,
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mapper,
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)
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else:
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return None
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), skip
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return result
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def process_fuzzy_result(self, result: Union[list, None]):
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"""
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If there are multiple valid close matches return None as result may be faulty.
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Return the result only if one accurate match stands out.
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Returns: Result, Skip (whether or not to continue matching)
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"""
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PARTY, SCORE, CUTOFF = 0, 1, 80
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if not result or not len(result):
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return None, False
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first_result = result[0]
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if len(result) == 1:
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return (result[0][PARTY] if first_result[SCORE] > CUTOFF else None), True
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second_result = result[1]
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if first_result[SCORE] > CUTOFF:
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# If multiple matches with the same score, return None but discontinue matching
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# Matches were found but were too closes to distinguish between
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if first_result[SCORE] == second_result[SCORE]:
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return None, True
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return first_result[PARTY], True
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else:
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return None, False
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@ -68,7 +68,7 @@
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"fieldtype": "Select",
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"in_standard_filter": 1,
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"label": "Status",
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"options": "\nPending\nSettled\nUnreconciled\nReconciled"
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"options": "\nPending\nSettled\nUnreconciled\nReconciled\nCancelled"
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},
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{
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"fieldname": "bank_account",
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@ -238,7 +238,7 @@
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],
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"is_submittable": 1,
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"links": [],
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"modified": "2023-04-04 15:47:20.620006",
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"modified": "2023-05-17 14:56:10.547480",
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"modified_by": "Administrator",
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"module": "Accounts",
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"name": "Bank Transaction",
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@ -13,11 +13,13 @@ class TestAutoMatchParty(FrappeTestCase):
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def setUpClass(cls):
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create_bank_account()
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frappe.db.set_single_value("Accounts Settings", "enable_party_matching", 1)
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frappe.db.set_single_value("Accounts Settings", "enable_fuzzy_matching", 1)
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return super().setUpClass()
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@classmethod
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def tearDownClass(cls):
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frappe.db.set_single_value("Accounts Settings", "enable_party_matching", 0)
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frappe.db.set_single_value("Accounts Settings", "enable_fuzzy_matching", 0)
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def test_match_by_account_number(self):
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"""Test if transaction matches with existing (Bank Party Mapper) or new match."""
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@ -145,6 +147,22 @@ class TestAutoMatchParty(FrappeTestCase):
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self.assertEqual(bank_party_mapper.bank_party_name, "Amazn Co.")
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self.assertEqual(doc_2.party, "Amazon")
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def test_skip_match_if_multiple_close_results(self):
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create_supplier_for_match(supplier_name="Adithya Medical & General Stores")
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create_supplier_for_match(supplier_name="Adithya Medical And General Stores")
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doc = create_bank_transaction(
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description="Paracetamol Consignment, SINV-0009",
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withdrawal=24.85,
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transaction_id="3a1da4ee2dc5a980138d56ef3460cbd9",
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party_name="Adithya Medical & General",
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)
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# Mapping is skipped as both Supplier names have the same match score
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self.assertEqual(doc.party_type, None)
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self.assertEqual(doc.party, None)
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self.assertFalse(doc.bank_party_mapper)
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def create_supplier_for_match(supplier_name="John Doe & Co.", iban=None, account_no=None):
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if frappe.db.exists("Supplier", {"supplier_name": supplier_name}):
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