Add fxl
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# --- install (if needed) ---
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# !pip install pdfplumber pandas openpyxl
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import re
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import os
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import pandas as pd
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import pdfplumber
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import openpyxl
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from openpyxl.styles import Font, Alignment
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from openpyxl.worksheet.table import Table, TableStyleInfo
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# -----------------------------
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# Paths
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# -----------------------------
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pdf_path = r"C:\Users\jmulhall\Downloads\DTB_janfeb2026.pdf"
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out_xlsx = "meditech_trial_balance_parsed_0630.xlsx"
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# -----------------------------
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# Regex
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# -----------------------------
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money_re = re.compile(r"-?\d{1,3}(?:,\d{3})*(?:\.\d{2})")
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acct_re = re.compile(r"^(?P<account>\d{2}\.\d{5}\.\d{5})\s+-\s+(?P<fund>\d{2})\s+(?P<name>.+)$")
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journal_re = re.compile(
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r"^(?P<journal>[A-Z][A-Z0-9/]*)\s+"
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r"(?P<date>\d{2}/\d{2}/\d{2})(?P<bch>\d{1,2})?\s+"
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r"(?P<entry>\d+(?:-\d+)?)\b"
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)
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# -----------------------------
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# Helpers
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# -----------------------------
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def parse_money(s):
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if not s:
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return None
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m = money_re.search(s)
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return float(m.group(0).replace(",", "")) if m else None
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def is_page_header_noise(s):
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s = " ".join(s.split()).upper()
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return (
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("FISCAL CALENDAR" in s or "FIRST CALENDAR" in s)
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and ("ROUND MONEY" in s or "TRIAL" in s)
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)
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def clean_description(desc):
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if not desc or is_page_header_noise(desc):
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return ""
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patterns = [
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r"FISCAL\s+CALENDAR\s+[A-Z]{3,6}\s*,?\s*[A-Z]{3}\s+20\d{2}",
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r"FIRST\s+CALENDAR\s+[A-Z]{3,6}\s*,?\s*[A-Z]{3}\s+20\d{2}",
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r"ROUND\s+MONEY\s*:\s*\d+\.\d+",
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r"\bTRIAL\b",
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]
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for p in patterns:
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desc = re.sub(p, "", desc, flags=re.IGNORECASE)
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return " ".join(desc.split())
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# -----------------------------
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# Parse PDF
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# -----------------------------
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transactions = []
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acct_summaries = []
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report_title_parts = {"fiscal": None, "period": None, "trial": None}
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with pdfplumber.open(pdf_path) as pdf:
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for page in pdf.pages:
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text = page.extract_text(layout=True) or ""
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lines = text.splitlines()
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# Capture report title once
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for ln in lines:
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s = ln.strip()
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if report_title_parts["fiscal"] is None and "Fiscal Calendar" in s:
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report_title_parts["fiscal"] = " ".join(s.split())
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if report_title_parts["period"] is None and re.search(r"\b[A-Z]{3}\s+20\d{2}\b", s):
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report_title_parts["period"] = " ".join(s.split())
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if report_title_parts["trial"] is None and s.upper() == "TRIAL":
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report_title_parts["trial"] = "TRIAL"
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# Locate headers
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txn_header = acct_header = None
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for i, ln in enumerate(lines):
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if "JOURNAL" in ln and "DESCRIPTION" in ln and "DEBITS" in ln:
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txn_header = i
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if "ACCOUNT" in ln and "OPEN" in ln and "CLOSE" in ln:
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acct_header = i
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deb_pos = cred_pos = desc_pos = None
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open_pos = adeb_pos = acredit_pos = change_pos = close_pos = None
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if txn_header is not None:
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h = lines[txn_header]
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deb_pos = h.find("DEBITS")
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cred_pos = h.find("CREDITS", deb_pos)
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desc_pos = h.find("DESCRIPTION", cred_pos)
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if acct_header is not None:
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h = lines[acct_header]
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open_pos = h.find("OPEN")
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adeb_pos = h.find("DEBITS", open_pos)
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acredit_pos = h.find("CREDITS", adeb_pos)
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change_pos = h.find("CHANGE", acredit_pos)
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close_pos = h.find("CLOSE", change_pos)
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current_account = None
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current_account_name = None
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pending_totals = False
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last_txn = None
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i = 0
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while i < len(lines):
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ln = lines[i]
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s = ln.strip()
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if not s or is_page_header_noise(s):
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i += 1
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continue
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# ACCOUNT header
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m = acct_re.match(s)
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if m:
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current_account = m.group("account")
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current_account_name = m.group("name").strip()
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pending_totals = True
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last_txn = None
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i += 1
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continue
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# ACCOUNT totals
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if pending_totals and money_re.search(s):
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nums = [float(x.replace(",", "")) for x in money_re.findall(s)]
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nums += [None] * 5
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acct_summaries.append({
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"ACCOUNT_NAME": current_account_name,
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"ACCOUNT": current_account,
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"OPEN": nums[0],
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"TOTAL_DEBITS": nums[1],
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"TOTAL_CREDITS": nums[2],
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"NET_CHANGE": nums[3],
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"CLOSE": nums[4],
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})
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pending_totals = False
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i += 1
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continue
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# TRANSACTION
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m = journal_re.match(s)
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if m and current_account:
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journal = m.group("journal")
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date = m.group("date")
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bch = int(m.group("bch")) if m.group("bch") else None
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entry = m.group("entry")
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debit = credit = None
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desc = ""
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if deb_pos is not None and cred_pos is not None:
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debit = parse_money(ln[deb_pos:cred_pos])
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credit = parse_money(ln[cred_pos:desc_pos])
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desc = ln[desc_pos:].strip()
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else:
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after = s[m.end():].strip()
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nums = money_re.findall(after)
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if nums:
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debit = float(nums[0].replace(",", ""))
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desc = money_re.sub("", after).strip()
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row = {
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"ACCOUNT_NAME": current_account_name,
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"ACCOUNT": current_account,
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"JOURNAL": journal,
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"DATE": date,
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"BCH": bch,
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"ENTRY": entry,
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"DEBITS": debit,
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"CREDITS": credit,
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"DESCRIPTION": clean_description(desc),
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}
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transactions.append(row)
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last_txn = row
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i += 1
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continue
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# Continuation DESCRIPTION
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if last_txn:
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add = clean_description(s)
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if add:
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last_txn["DESCRIPTION"] += " " + add
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i += 1
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continue
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i += 1
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# -----------------------------
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# Finalize
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# -----------------------------
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title = ", ".join(v for v in report_title_parts.values() if v)
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df_txn = pd.DataFrame(transactions)
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df_acct = pd.DataFrame(acct_summaries)
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# -----------------------------
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# Export XLSX
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# -----------------------------
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with pd.ExcelWriter(out_xlsx, engine="openpyxl") as writer:
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df_txn.to_excel(writer, "Transactions", index=False, startrow=2)
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df_acct.to_excel(writer, "Account Summary", index=False, startrow=2)
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wb = openpyxl.load_workbook(out_xlsx)
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for sheet in ["Transactions", "Account Summary"]:
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ws = wb[sheet]
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ws["A1"] = title
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ws.merge_cells(start_row=1, start_column=1, end_row=1, end_column=ws.max_column)
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ws["A1"].font = Font(bold=True)
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ws.freeze_panes = "A4"
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wb.save(out_xlsx)
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print("✔ Parsed successfully")
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print("Transactions:", df_txn.shape)
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print("Account Summary:", df_acct.shape)
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print("Output:", out_xlsx)
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