154 lines
4.6 KiB
Python
154 lines
4.6 KiB
Python
import csv
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import re
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def float2(value, default=0.0):
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if value is None:
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return default
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try:
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return float(value)
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except ValueError:
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return default
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print("Detta program rapporterar skillnader mellan verifikat som refererar till varandra genom beskrivningen av verifikatet. Den utgår från krediter och hittar matchande debeter")
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lines = []
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result = []
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with open("konto.csv", "r") as file:
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lines = file.readlines()
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startLine = 12
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# READING
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for i, line in enumerate(lines):
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if "Konto" in line and "Verifikation" in line:
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startLine = i
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break
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with open("konto.csv", "w") as file:
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file.writelines(lines[startLine:-1])
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with open("konto.csv", "r") as file:
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csvreader = csv.DictReader(file, delimiter=";")
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for row in csvreader:
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result.append(row)
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with open("konto.csv", "w") as file:
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file.writelines(lines)
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# FILE RESTORED, PARSE DATA
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krediter = {}
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debeter = {}
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verfs = {}
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sums = {}
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header = result.pop(0)
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for line in result:
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if not line['"Verifikation"']:
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continue
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verf = line['"Verifikation"'].replace(" ","")
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if verf not in verfs.keys():
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verfs[verf] = line
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verfs[verf]['"Kredit"'] = float2(line['"Kredit"'].replace(",",".").replace(" ",""))
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verfs[verf]['"Debet"'] = float2(line['"Debet"'].replace(",",".").replace(" ",""))
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else:
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verfs[verf]['"Kredit"'] += float2(line['"Kredit"'].replace(",",".").replace(" ",""))
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verfs[verf]['"Debet"'] += float2(line['"Debet"'].replace(",",".").replace(" ",""))
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## ELIMINATE CORRECTIONS
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verfs = dict(reversed(sorted(verfs.items(), key = lambda x: int(x[0][1:]))))
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print(f"All verfs {len(verfs)}")
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corrections = []
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for verf, line in verfs.items():
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if "Korrigering" in line['"Beskrivning"']:
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corrections.append(verf)
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toDelete = []
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missingVerfs = []
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for verf, line in verfs.items():
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if verf in list(map(lambda x: x[0], toDelete)):
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continue
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if "Korrigering" in line['"Beskrivning"']:
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toRemove = re.findall("(A\d+)(?:\D){0,1}",line['"Beskrivning"'])[0]
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if toRemove not in verfs.keys():
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missingVerfs.append(toRemove)
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else:
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targetSum = verfs[toRemove]['"Debet"'] - verfs[toRemove]['"Kredit"']
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correctionSum = line['"Debet"'] - line['"Kredit"']
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if abs(targetSum + correctionSum) < 0.0001:
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#print(f"Deleting {verfs[toRemove]}")
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#print(f"because of {line}")
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#print("")
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toDelete.append((toRemove, verf))
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print(f"VARNING! {missingVerfs} saknas i verifikat listan men refereras till av korrektioner!")
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print(f"Tar bort {len(toDelete)} korrigeringspar...")
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for v, k in toDelete:
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print(v, k)
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del verfs[v]
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del verfs[k]
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print(f"All verfs {len(verfs)}, All corrections {len(toDelete)*2}")
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## FINISH PARSING DATA
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for verf, line in verfs.items():
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if line['"Kredit"'] > 0:
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krediter[verf] = line
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elif line['"Debet"'] > 0:
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debeter[verf] = line
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# FIND DIFFS AND LOG INTO DATA STRUCTURE
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for kVerf, kLine in krediter.items():
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sums[kVerf] = {"value": -kLine['"Kredit"'], "debets": [], "date": kLine['"Datum"']}
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print(sums)
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toDel = []
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for dVerf, dLine in debeter.items():
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debetVal = dLine['"Debet"']
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for kVerf in re.findall("(A\d+)(?:\D){0,1}",dLine['"Beskrivning"']):
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if debetVal == 0:
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continue
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if kVerf not in sums:
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if kVerf not in corrections:
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print(f"oopsie, {kVerf} finns inte som kreditverifikat")
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continue
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sumVal = sums[kVerf]["value"]
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if abs(sumVal + debetVal) < 0.0001:
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sums[kVerf]["value"] = 0
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debetVal = 0
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toDel.append(dVerf)
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elif sumVal + debetVal < 0:
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sums[kVerf]["value"] = sumVal + debetVal
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debetVal = 0
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toDel.append(dVerf)
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else:
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sums[kVerf]["value"] = sumVal + debetVal
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debetVal = debetVal - sumVal
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sums[kVerf]["debets"] = sums[kVerf]["debets"] + [dVerf]
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for dVerf in list(set(toDel)):
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#print(dVerf)
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del debeter[dVerf]
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print(f"All verfs {len(debeter) + len(krediter)}, All corrections {len(toDelete)*2}, All matched debeter {len(toDel)}")
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# PRINT!
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total = 0
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for verf, a in sums.items():
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if abs(a["value"]) > 0.0001:
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total += a["value"]
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print(verf, ": ", a)
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else:
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print(f"oki, paid verf {verf}: {a}")
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print("Här kommer omatchade debeter")
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for debet, debetLine in debeter.items():
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print(debet + ": " + debetLine['"Beskrivning"'] + " -- ", debetLine['"Debet"'])
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total += debetLine['"Debet"']
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print(total)
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