def get_big_transactions(transactions: List[Transaction], ceil: float,
start: datetime, end: datetime):
analyser = Analyser(transactions)
analyser.filter_date(start, end).filter_gt_abs_ceil(ceil)
print(f"\nBig transactions between {start} and {end}\n")
print(analyser)
print("\n\n")
def get_positive_transactions(transactions: List[Transaction], start: datetime,
end: datetime):
analyser = Analyser(transactions)
analyser.filter_date(start, end).filter_negative_transaction()
print(f"\nPositive transactions between {start} and {end}\n")
print(analyser)
print("\n\n")
def analyse_by_label_content(label: str, transactions: List[Transaction],
start: datetime, end: datetime) -> float:
""""
To print transaction
>>> print(analyser.__str__()[0:500])
>>> print(anylyser)
"""
analyser = Analyser(transactions)
analyser.filter_date(start, end).filter_by_label_contains_value(label)
total_spent_sum = analyser.reduce_to_sum()
average_basket = analyser.reduce_to_average()
average_spent_per_day = total_spent_sum / (end - start).days
print(f"{label} Analysis between {start} and {end}\n"
f"Total spent is: {total_spent_sum}\n"
f"Average basket is {average_basket}\n"
f"Average spent per day is: {average_spent_per_day}")
print("\n\n")
return total_spent_sum
def get_employer_payment(transactions: List[Transaction],
start: datetime,
end: datetime,
business_trip_only=False):
analyser = Analyser(transactions)
business_trip_label_deprecated = "VIR SEPA RECU /DE COULOMBEL SYLVAIN /MOTIF /REF "
business_trip_label = "DEUS SAS - DIRECTION FINANCIERE /MOTIF INV"
salary_label = "DEUS SAS - DIRECTION FINANCIERE /MOTIF /REF AMAD"
label_list = [business_trip_label_deprecated, business_trip_label]
if not business_trip_only:
label_list.append(salary_label)
analyser.filter_date(start,
end).filter_by_label_contains_value_list(label_list)
print(
f"\nEmployer transactions between {start} and {end} (with business trip only set to {business_trip_only})\n"
)
print(analyser)
print("\n\n")
def month_analysis(transactions: List[Transaction]):
""""
Top 5 transactions in the account + cb spent + top cb + Naturalia reduction + epsilon (recoupement)
enables to see where money is going
"""
print("============ Last months analysis ==============")
start, end = datetime(2020, 6, 15), datetime(2020, 7, 15)
print(f"\nAnalyse period is between {start} and {end}")
analyser = Analyser(transactions)
print(f"Top 5 transactions in the account are\n")
print(
analyser.filter_date(start, end).filter_positive_transaction().
sort_transactions_by_amount().head(5))
analyser.reset()
analyser.filter_date(start, end).filter_by_kind("PAIEMENT CB")
print(
f"\nCB Spent between {start} and {end} is {analyser.reduce_to_sum()}")
# print(analyser.highest_spent_transaction())
print(f"Where top CB transactions are\n")
print(analyser.sort_transactions_by_amount().head(2))
print("\nThe CB spent includes Naturalia =>")
analyse_by_label_content("NATURALIA", transactions, start, end)
