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import pandas as pd
from serenitas.utils.env import DAILY_DIR
from serenitas.utils.db import dawn_engine, dbconn
from serenitas.utils.remote import SftpClient
import datetime
from serenitas.analytics.dates import prev_business_day
import re
def get_ped(s):
if m := re.search("IM.([\d.]+)\.", s):
dt = datetime.datetime.strptime(m.group(1), "%Y%m%d.%H%M%S")
return dt.date(), dt.time()
def load_citco_report(fdir):
df = pd.read_csv(fdir)
df["row"] = df.index
df.columns = df.columns.str.lower()
df.columns = df.columns.str.replace(" ", "_")
df["period_end_date"] = pd.to_datetime(df["period_end_date"], format="%Y%m%d")
df["knowledge_date"] = pd.to_datetime(df["period_end_date"], format="%Y%m%d")
return df
if __name__ == "__main__":
#### argparse WIP
date = datetime.date.today()
workdate = prev_business_day(date)
####
reports_dir = DAILY_DIR / str(date) / "Reports"
reports_dir.mkdir(exist_ok=True, parents=True)
sftp = SftpClient.from_creds("citco")
citco_files = [
filename
for filename in sftp.client.listdir("/outgoing")
if "SPOS4X_INNOCAP" in filename
if get_ped(filename)[0] <= workdate
]
f = max(citco_files, key=get_ped)
sftp.client.get(
f"/outgoing/{f}", localpath=reports_dir / f"Valuation_Report_ISOSEL.csv"
)
df = load_citco_report(reports_dir / f"Valuation_Report_ISOSEL.csv")
conn = dbconn("dawndb")
with conn.cursor() as c:
c.execute(
"DELETE from citco_reports where period_end_date =%s",
(get_ped(f)[0],),
)
conn.commit()
df.to_sql("citco_reports", dawn_engine, if_exists="append", index=False)
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