def update_stonk(ticker: str):
db = SessionLocal()
file_name = 'btc_price_dict.pkl'
if os.path.isfile(file_name):
os.remove(file_name)
stonk = yf.Ticker(ticker)
stonk_obj = crud.get_stonk_by_ticker(db, ticker)
prices = get_stonk_price_since_date_in_usd(
stonk,
datetime.datetime.now() - datetime.timedelta(days=4))
price_in_usd = prices['Close'][len(prices['Close']) - 1]
price_in_btc = convert_usd_to_btc(price_in_usd,
get_current_bitcoin_price())
print(
f'Saving Price for {ticker} on {datetime.datetime.now()} @ {str(price_in_btc)}'
)
crud.create_price(db=db,
price=schemas.PriceCreate(
price=price_in_btc,
datetime=datetime.datetime.now(),
stonk_id=stonk_obj.id))
db.close()
def get_db():
db = None
try:
db = SessionLocal()
yield db
finally:
db.close()
def get_db():
start = time.time()
db = SessionLocal()
try:
yield db
finally:
db.close()
stop = time.time()
print(f"time taken : {stop - start}")
def run():
db = SessionLocal()
stonk = crud.create_stonk(
db=db,
stonk=schemas.StonkCreate(
name='STONK',
ticker='STONK'
)
)
crud.create_price(
db=db,
price=schemas.PriceCreate(
price=420.69,
datetime=datetime.datetime.now(),
stonk_id=stonk.id
)
)
db.close()
async def startup_event():
db = SessionLocal()
global_var.total_level0 = get_free_qualified_teacher(db, level_id=0)
global_var.total_level1 = get_free_qualified_teacher(db, level_id=1)
db.close()
class Acquirer:
def __init__(self, acquirer: str):
self.acquirer = acquirer
self.session = SessionLocal()
self.merchants = []
def get_pendent_webhooks(self, acquirer: str) -> List["WebHooks"]:
webhooks = []
try:
webhooks = self.session.query(WebHooks)\
.join(QueueDetail, isouter=True)\
.filter(QueueDetail.webhook_id==None)\
.filter(WebHooks.is_valid, WebHooks.acquirer==acquirer)\
.all()
except Exception as error:
print(str(error))
finally:
self.session.close()
return webhooks
def get_failed_download(self, acquirer: str):
queue_files = []
try:
queue_files = self.session.query(QueueDetail)\
.join(WebHooks)\
.filter(WebHooks.is_valid,
WebHooks.acquirer==acquirer,
QueueDetail.is_done==False,
QueueDetail.error.notin_(['0', '200']),
QueueDetail.retrys <= environ.get('RETRYS', 10),
QueueDetail.error.like('%https://ca-live.adyen.com/reports/download/MerchantAccount%'))\
.all()
except Exception as error:
print(str(error))
finally:
self.session.close()
return queue_files
def get_reports_download(self, start_date: datetime, end_date: datetime):
df = []
mapped_response = {}
# {
# "data": [
# {
# "STONE": [{
# "day": "01",
# "MerchantNotFound": 0,
# "Success": 0,
# "InternalServeErrors": 0
# }]
# }
# ],
# "mapKeys": ["MerchantNotFound", "Success", "InternalServeErrors"]
# }
try:
queue_files = self.session.query(func.to_char(QueueDetail.createdAt, 'YYYY-MM-DD').label("day"),
func.count(QueueDetail.detailId).label("quantity"),
QueueDetail.statusCode,
QueueProcesses.acquirer)\
.join(QueueProcesses, QueueDetail.processId==QueueProcesses.process_id)\
.group_by("day", QueueDetail.statusCode, QueueProcesses.acquirer)\
.filter(between(QueueDetail.createdAt, start_date, end_date))
df = pd.read_sql(queue_files.statement, self.session.bind)
# pivot table
df['quantity'] = df['quantity'].astype(int)
# print(df)
df_pivot = df.pivot_table(values=['quantity'], index=df.index, columns=['status_code']).fillna('0').astype(int)
df = df.merge(df_pivot, left_index=True, right_index=True, how='outer').sort_values('day')
df = df.groupby(by=['acquirer', 'day']).sum().reset_index().drop(['quantity'], axis=1)
responses = {
'200': "BAIXADOS",
'201': "BAIXADOS",
'400': "BADREQUEST",
'500': "ERRO INTERNO DA ADQUIRENTE",
'401': "SEM CONCESSÃO",
'403': "NÃO AUTORIZADO",
'503': "TIMEOUT",
'0': 'SEM CAD CONCIL',
'REPC': 'AGUAR.REPROCESSAMENTO',
'CANC': 'CANCELADO',
}
df.rename(columns={(name, status): responses[status] if status in responses else name for name, status in df.columns[2:]}, inplace=True)
acquirers = df['acquirer'].unique().tolist()
mapped_response = {
acquirer: df.loc[df['acquirer']==acquirer].to_dict(orient='records') for acquirer in acquirers
}
mapkeys = {}
for acquirer in acquirers:
mapkeys[acquirer] = []
for data in mapped_response[acquirer]:
mapkeys[acquirer].extend([key for key, value in data.items() if value and key not in ('day', 'acquirer')])
mapkeys[acquirer] = list(set(mapkeys[acquirer]))
except Exception as error:
print(str(error))
finally:
self.session.close()
return mapped_response, mapkeys
def make_search_query(self, filters: list, query):
for params in filters:
if len(params['value']) and params['name'] == 'acquirer':
query = query.filter(getattr(QueueProcesses, params['name']).ilike(f"%{params['value']}%"))
elif len(params['value']): # only fill values
query = query.filter(getattr(QueueDetail, params['name']).ilike(f"%{params['value']}%"))
return query
def get_reports_download_detail(self, start_date: datetime, end_date: datetime, acquirer: str, filters: list, page:int, pageSize: int):
df = []
keys = []
meta= {
"total": 0,
"current": page,
"pageSize": pageSize
}
try:
queue_files = self.session.query(QueueDetail, QueueProcesses.acquirer.label("acquirer"))\
.select_from(QueueDetail)\
.join(QueueProcesses, QueueDetail.processId==QueueProcesses.process_id)\
.filter(
between(QueueDetail.createdAt, start_date, end_date)
)
if acquirer != 'ALL':
queue_files= queue_files.filter(QueueProcesses.acquirer==acquirer)
if filters:
queue_files = self.make_search_query(filters, queue_files)
paginator = Paginator(queue_files, meta["pageSize"])
page = paginator.page(meta["current"])
meta["total"] = page.paginator.count
meta["countPages"] = page.paginator.total_pages
meta["previous_page_number"] = page.previous_page_number
meta["next_page_number"] = page.next_page_number
# queue_files = queue_files.limit(50)
# print(meta)
# print(page.object_list)
# df = pd.read_sql(queue_files.statement, self.session.bind)
objects = [
{
"detailId": item.detailId,
"clientCode": item.clientCode,
"shortName": item.shortName,
"storeCode": item.storeCode,
"merchantCode": item.merchantCode,
"text": item.text,
"error": item.error,
"statusCode": item.statusCode,
"fileDate": item.fileDate,
"createdAt": item.createdAt.isoformat() if item.createdAt else item.createdAt,
"endAt": item.endAt.isoformat() if item.endAt else item.endAt,
"isDone": item.isDone,
"isRunning": item.isRunning,
"retrys": item.retrys,
"webhookId": item.webhookId,
"acquirer": acquirer
} for item, acquirer in page.object_list
]
# print(objects)
if not objects: return
df = pd.DataFrame(objects)
# df.rename(columns={name: "".join([name.split('_')[0], name.split('_')[1].capitalize()]) if len(name.split('_'))>1 else name for name in df.columns}, inplace=True)
# print(len(df))
df['webhookId'] = df['webhookId'].fillna(0).astype(int)
keys = df.columns.tolist()
df = df.to_dict(orient='records')
# print(df)
except Exception as error:
print(str(error))
finally:
self.session.close()
return df, keys, meta
def describ_request(self, detail: QueueDetail):
print(f"{detail.text} -> Client_code: {detail.client_code}, Merchant: {detail.merchant_code}, File Date: {detail.file_date}, retrys: {detail.retrys}, status_code: {detail.status_code} webhooK_id {detail.webhook_id}")
def reprocess_files(self, files: list, status: str) -> None:
try:
queue_files = self.session.query(QueueDetail).filter(QueueDetail.detailId.in_(files)).\
update({QueueDetail.statusCode: status}, synchronize_session=False)
self.session.commit()
files = self.session.query(QueueDetail).filter(QueueDetail.detailId.in_(files)).all()
except Exception as error:
print(str(error))
finally:
self.session.close()
return files, []
def get_acquirers_count(self, start_date: datetime, end_date: datetime):
df = []
# const data = [
# { name: 'Adyen 25%', value: 25 },
# { name: 'Group B', value: 25 },
# { name: 'Group C', value: 25 },
# { name: 'Group D', value: 25 },
# ];
try:
queue_files = self.session.query(func.count(QueueDetail.detailId).label("quantity"),
QueueProcesses.acquirer)\
.join(QueueProcesses, QueueDetail.processId==QueueProcesses.process_id)\
.group_by(QueueProcesses.acquirer)\
.filter(between(QueueDetail.createdAt, start_date, end_date),
QueueDetail.statusCode == '200')
df = pd.read_sql(queue_files.statement, self.session.bind)
# pivot table
df['quantity'] = df['quantity'].fillna(0).astype(float)
total = df['quantity'].sum()
df['name'] = [f"{acquirer} {int((quantity/total*100))}%" for quantity, acquirer in df.itertuples(index=False)]
df = df.drop('acquirer', axis=1).to_dict(orient="records")
except Exception as error:
print(str(error))
finally:
self.session.close()
return df, []
def get_prevision_vs_current(self, start_date: datetime, end_date: datetime):
df = []
try:
interval = (end_date - start_date)
queue_files = self.session.query(func.count(QueueDetail.detailId).label("baixado"),
QueueProcesses.acquirer.label("name"))\
.join(QueueProcesses, QueueDetail.processId==QueueProcesses.process_id)\
.group_by(QueueProcesses.acquirer, func.to_char(QueueDetail.createdAt, 'YYYY-MM-DD'))\
.filter(between(QueueDetail.createdAt, start_date, end_date))\
.filter(QueueDetail.statusCode == '200')
df = pd.read_sql(queue_files.statement, self.session.bind)
for acquirer in ["AME", "STONE", "PAYPAL", "ADYEN"]:
df = df.append({"name": acquirer, "baixado": 0}, ignore_index=True)
df = df.groupby('name').sum().reset_index()
df['prev'] = [self.get_average((interval.days+1) or 1, acquirer) for acquirer, baixado in df.itertuples(index=False)]
# print(df)
# df['baixado'] = df['baixado'] *1000
except Exception as error:
print(str(error))
finally:
self.session.close()
return df.to_dict(orient="records"), []
def get_average(self, interval: int, acquirer: str):
# nested querys
sums = self.session.query(func.count(func.distinct(QueueDetail.detailId)).label("baixado"))\
.join(QueueProcesses, QueueDetail.processId==QueueProcesses.process_id)\
.group_by(func.to_char(QueueDetail.createdAt, 'YYYY-MM-DD'))\
.filter(QueueDetail.statusCode == '200', QueueProcesses.acquirer==acquirer)\
.subquery()
average = self.session.query(func.avg(sums.c.baixado)).scalar() or 0
return int(average * interval)
def load_merchants(self, acquirer: str) -> list:
df = []
try:
region = 'us-east-1'
keys ={
"AME": {
"region": "sa-east-1"
}
}
if acquirer in keys:
region = keys[acquirer]["region"]
s3 = S3(p_bucket=f"concil-{environ.get('STAGE', 'dev')}-blackbox-{acquirer.lower()}", region_name=region)
merchants = s3.get_object(p_key=f"establishment/CFR_ESTABELECIMENTOS_{acquirer.upper()}.csv")
df = pd.read_csv(StringIO(merchants), sep=";")
df = df.query("FILIAL_CODIGO != 'FILIAL_GERAL'", engine="python")
df['ESTABELECIMENTO'] = df['ESTABELECIMENTO'].map(str)
self.merchants = df
# self.merchants.to_csv('test_establishments.csv', sep=',')
df.rename(columns={"ESTABELECIMENTO": "merchantCode", "PFJ_CODIGO": "clientCode"}, inplace=True)
except Exception as error:
print(str(error))
finally:
return df[["merchantCode", "clientCode"]].to_dict(orient="records"), []
def get_available_files(self, acquirer: str, start_date: datetime, end_date: datetime, merchant_code: str):
df = []
acquirers = {
"ADYEN": Adyen,
"STONE": Stone
}
self.load_merchants(acquirer)
# print(self.merchants)
if acquirer in ["ADYEN"]:
merchant = self.merchants.query(f"merchantCode=='{merchant_code}' and FILIAL_CODIGO != 'FILIAL_GERAL' and USERNAME.str.len() and PASSWORD.str.len()", engine="python")
else:
merchant = self.merchants.query(f"merchantCode=='{merchant_code}'", engine="python")
# print(merchant)
df = acquirers[acquirer]().get_available_files(
start_date=start_date,
end_date=end_date,
merchant_code=merchant_code,
df_merchants=merchant
)
# print(results)
return df.to_dict(orient="records"), []
def reprocess(self, acquirer: str, files):
reprocess = []
message = "Arquivos processados com sucesso process id {queu_id}"
try:
acquirers = {
"ADYEN": Adyen
}
queue = acquirers[acquirer]().reprocess(files)
self.session.add(queue)
self.session.commit()
message = message.format(queu_id=queue.process_id)
except Exception as error:
message = str(error)
finally:
self.session.close()
return message, []
"""Get reports availables values columns based on query filters"""
def get_names(self, column: str, start_date: datetime, end_date: datetime, filters: list) -> List:
# start_time = time()
mapped_values = {
"installment_amount": lambda x: float(x) if x else 0,
"createdAt": lambda x: x.isoformat() if x else None,
"endAt": lambda x: x.isoformat() if x else None
}
response = {
"meta": {
# "limit": data['limit'],
# "offset": data['offset'],
"column": column,
"start_date": start_date.isoformat(),
"end_date": end_date.isoformat(),
# "has_next": False,
"filters": filters,
"column": column
},
"data": []
}
status = 200
try:
# Only for conciliation_id status PENDENTE/CONCILIADO
queue_files = self.session.query(func.distinct(getattr(QueueDetail if column != 'acquirer' else QueueProcesses, column)))\
.select_from(QueueDetail)\
.join(QueueProcesses, QueueDetail.processId==QueueProcesses.process_id)\
.filter(between(QueueDetail.createdAt, start_date, end_date))
if filters:
queue_files = self.make_search_query(filters, queue_files)
queue_files = queue_files.all()
results = [mapped_values[column](x[0]) if column in mapped_values else x[0] for x in queue_files]
response["data"] = [{"value": value} for value in results]
except Exception as error:
print(error)
status = 500
finally:
self.session.close()
return response["meta"], response["data"], status
def teardown():
db = SessionLocal()
db.query(models.Price).delete()
db.query(models.Stonk).delete()
db.commit()
db.close()
