bs_count_statistics.py
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import re
import os
import ast
import json
import datetime
from openpyxl import Workbook
from django.core.management import BaseCommand
from django.db.models import Avg, Max, Min
from settings import conf
from common.mixins import LoggerMixin
from apps.doc import consts
from apps.doc.models import HILDoc, AFCDoc, DocStatus
class Command(BaseCommand, LoggerMixin):
def __init__(self):
super().__init__()
self.header_1 = ('date',
'Daily CA doc handling volume', None, None,
'Daily CA doc handling application volume',
'Daily bank statement handling volume', None, None,
'Daily bank statement handling application volume',
'Daily average processing time (s)',
'Daily longest processing time (s)',
'Daily shortest processing time (s)')
self.header_2 = (None,
'success', 'failed', 'total',
None,
'success', 'failed', 'total',
None,
None,
None,
None)
def add_arguments(self, parser):
parser.add_argument(
'--end_date',
default=datetime.date.today() - datetime.timedelta(days=1),
dest='end_date',
help='将要计算的终止日期，格式: 2018-01-01'
)
parser.add_argument(
'--start_date',
required=True,
dest='start_date',
help='将要计算的起始日期，格式: 2018-01-01'
)
@staticmethod
def gen_dates(start_date, days):
day = datetime.timedelta(days=1)
for i in range(days):
yield start_date + day * i
def handle(self, *args, **kwargs):
end_date = kwargs.get('end_date')
if isinstance(end_date, str):
if not re.match(r'\d{4}-\d{2}-\d{2}', end_date):
print('date format error')
return
end_date_str = end_date
else:
end_date_str = end_date.strftime('%Y-%m-%d')
start_date = kwargs.get('start_date')
if isinstance(start_date, str):
if not re.match(r'\d{4}-\d{2}-\d{2}', start_date):
print('date format error')
return
start_date_str = start_date
else:
start_date_str = start_date.strftime('%Y-%m-%d')
end_date = datetime.datetime.strptime(end_date_str, '%Y-%m-%d')
start_date = datetime.datetime.strptime(start_date_str, '%Y-%m-%d')
days = (end_date - start_date).days
if days < 0:
print('start_date must leq end_date')
return
excel_dir = os.path.join(conf.DATA_DIR, 'AFC', 'Logs')
if not os.path.exists(excel_dir):
print('excel dir not exists')
return
wb = Workbook()
ws = wb.get_sheet_by_name('Sheet')
ws.title = 'CA BS'
ws.append(self.header_1)
ws.append(self.header_2)
ws.merge_cells('A1:A2')
ws.merge_cells('E1:E2')
ws.merge_cells('I1:I2')
ws.merge_cells('J1:J2')
ws.merge_cells('K1:K2')
ws.merge_cells('L1:L2')
ws.merge_cells('B1:D1')
ws.merge_cells('F1:H1')
for date in self.gen_dates(start_date, days):
date_str = date.strftime('%Y-%m-%d')
next_date = date + datetime.timedelta(days=1)
hil_doc_total = HILDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
document_scheme=consts.DOC_SCHEME_LIST[0]).count()
hil_app_total = HILDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
document_scheme=consts.DOC_SCHEME_LIST[0]).values_list(
'application_id', flat=True).distinct().count()
hil_app_not_bs = HILDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
document_scheme=consts.DOC_SCHEME_LIST[0], bs_count=0).values_list(
'application_id', flat=True).distinct().count()
hil_doc_success = HILDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
status=DocStatus.COMPLETE.value,
document_scheme=consts.DOC_SCHEME_LIST[0]).count()
hil_doc_duration = HILDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
status=DocStatus.COMPLETE.value,
document_scheme=consts.DOC_SCHEME_LIST[0]).aggregate(
Avg("duration"), Max("duration"), Min("duration"))
afc_doc_total = AFCDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
document_scheme=consts.DOC_SCHEME_LIST[0]).count()
afc_app_total = AFCDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
document_scheme=consts.DOC_SCHEME_LIST[0]).values_list(
'application_id', flat=True).distinct().count()
afc_app_not_bs = AFCDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
document_scheme=consts.DOC_SCHEME_LIST[0], bs_count=0).values_list(
'application_id', flat=True).distinct().count()
afc_doc_success = AFCDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
status=DocStatus.COMPLETE.value,
document_scheme=consts.DOC_SCHEME_LIST[0]).count()
afc_doc_duration = AFCDoc.objects.filter(create_time__gt=date, create_time__lt=next_date,
status=DocStatus.COMPLETE.value,
document_scheme=consts.DOC_SCHEME_LIST[0]).aggregate(
Avg("duration"), Max("duration"), Min("duration"))
doc_total = hil_doc_total + afc_doc_total
doc_success = hil_doc_success + afc_doc_success
doc_failed = doc_total - doc_success
app_total = hil_app_total + afc_app_total
app_bs = app_total - hil_app_not_bs - afc_app_not_bs
duration_min = min(hil_doc_duration.get('duration__min'), afc_doc_duration.get('duration__min'))
duration_max = max(hil_doc_duration.get('duration__max'), afc_doc_duration.get('duration__max'))
duration_avg = (hil_doc_duration.get('duration__avg') / (1 + (hil_doc_success / afc_doc_success))) + \
(afc_doc_duration.get('duration__avg') / (1 + (afc_doc_success / hil_doc_success)))
success_doc_count = 0
success_bs_count = 0
log_path = os.path.join(conf.LOG_DIR, 'bs.log.{0}'.format(date_str))
# log_path = os.path.join(conf.LOG_DIR, 'bs_statistics.log.{0}'.format(date_str))
if not os.path.exists(log_path):
print('log_path not exists')
else:
with open(log_path, 'r', encoding='utf-8') as fp:
for line in fp:
search_obj = re.search(r'task=(.*) merged_bs_summary=(.*)', line)
# search_obj = re.search(r'\[task=(.*)] \[bs_summary=(.*)]', line)
task_str = search_obj.group(1)
business_type, doc_id_str = task_str.split(consts.SPLIT_STR)
doc_id = int(doc_id_str)
doc_class = HILDoc if business_type == consts.HIL_PREFIX else AFCDoc
doc = doc_class.objects.filter(id=doc_id, status=DocStatus.COMPLETE.value,
document_scheme=consts.DOC_SCHEME_LIST[0]).first()
if doc is None:
continue
bs_summary_str = search_obj.group(2)
new_bs_summary_str = re.sub(r'datetime.date\(\d+, \d+, \d+\)', 'None', bs_summary_str)
bs_summary = ast.literal_eval(new_bs_summary_str)
bs_count = len(bs_summary)
if bs_count > 0:
success_doc_count += 1
success_bs_count += bs_count
ws.append((date_str,
doc_success, doc_failed, doc_total,
app_total,
'{0}/{1}'.format(success_doc_count, success_bs_count), None, None, # 只能记录成功的，失败的无法知道是否含有银行流水
app_bs, # 只能记录成功的，失败的无法知道是否含有银行流水
duration_avg, duration_max, duration_min))
excel_path = os.path.join(excel_dir, 'bs_count_{0}_to_{1}.xlsx'.format(start_date_str, end_date_str))
wb.save(excel_path)