Finance Bank Statement Classification Agent

import csv, json

BANK_CSV = "bank_statement.csv"
GL_MAP = {"payment": "7001", "transfer": "1002", "deposit": "1001"}

def parse_bank_csv(file):
    with open(file) as f:
        return list(csv.DictReader(f))

def classify_entry(desc):
    desc = desc.lower()
    if "payment" in desc or "pay" in desc: return "Purchase", GL_MAP["payment"]
    if "transfer" in desc: return "Transfer", GL_MAP["transfer"]
    return "Sales", GL_MAP["deposit"]

def generate_journal(entries):
    lines = []
    for e in entries:
        cat, gl = classify_entry(e["desc"])
        lines.append({"date": e["date"], "category": cat, "gl": gl})
    return lines

entries = generate_journal(parse_bank_csv(BANK_CSV))
print(json.dumps(entries, indent=2))