Nipa Parser Gbólóhùn Bank

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TL;DR: Bank Statement Parser jẹ ile-ikawe Python orisun-ṣiṣi ti o ṣe itupalẹ awọn ọna kika alaye banki meje (CAMT.053, PAIN.001, CSV, OFX, QFX, MT940, ati PDF) sinu pandas DataFrames. Opo gigun PDF aladapọ pẹlu iṣayẹwo iwọntunwọnsi, REST API, imudara, okeere iwe iroyin, iyara 27K+ tx/s.

Bank Statement Parser jẹ ile-ikawe Python orisun-ṣiṣi ti o ṣe itupalẹ awọn alaye banki lati awọn ọna kika meje sinu pandas DataFrames ti a ṣeto. Ipilẹ ipinnu n ṣe ilana awọn ọna kika ti a ṣeto ni agbegbe lai pe nẹtiwọọki rara. Opo gigun PDF aladapọ ti o jẹ iyan n darí nipasẹ awọn LLM agbegbe (nipasẹ Ollama) fun awọn alaye oni-nọmba ati ti a ṣe scan.

Tani Eyi Fun?

Awọn Ọna Kika Ti A Ṣe Atilẹyin

Ọna kika Boṣewa Awọn Oriṣi Faili Parser/Ọna
CAMT.053 ISO 20022 Banki-si-Onibara Gbólóhùn .xml CamtParser
PAIN.001 ISO 20022 Ibẹrẹ Gbigbe Kirẹditi .xml Pain001Parser
CSV Okeere banki gbogbogbo .csv CsvStatementParser
OFX Open Financial Exchange .ofx OfxParser
QFX Quicken Financial Exchange .qfx QfxParser
MT940 Boṣewa SWIFT .mt940, .sta Mt940Parser
PDF Awọn alaye oni-nọmba ati ti a ṣe scan .pdf smart_ingest()

Gbogbo awọn ọna kika ṣe agbejade pandas DataFrames deede pẹlu awọn orukọ ọwọn ti o ni ibamu, ti o jẹ ki sisẹ ṣiṣan isalẹ jẹ aibikita ọna kika.

Awọn Agbara Pataki

Aabo Ati Ikọkọ

Iṣẹ

Metiriki Iye
Igbejade CAMT.053 27,000+ tx/s
Igbejade PAIN.001 52,000+ tx/s
Idaduro fun-iṣowo kan (CAMT) 37 microseconds
Idaduro fun-iṣowo kan (PAIN.001) 19 microseconds
Akoko si abajade akọkọ < 2 ms
Iwọn iranti (1K-50K tx) Ibakan (sisanwọle)
Agbegbe idanwo 100% agbegbe ẹka
Awọn idanwo 718 kọja awọn faili idanwo 29

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