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import datetime
import pandas as pd
from io import BytesIO
from pikepdf import Pdf
from . import DAILY_DIR
from .common import load_pdf
def load_file(d, fund):
try:
fname = next(
(DAILY_DIR / fund / "JPM_reports").glob(f"CSCFTCSTMT-*-{d:%y%m%d}*.pdf")
)
except StopIteration:
raise FileNotFoundError(f"JPM file not found for date {d}")
return pd.read_excel(fname, skiprows=6, skipfooter=2)
paths = {
# "Serenitas": ["NYops", "Margin Calls JPM"],
"BowdSt": ["BowdoinOps", "Margin JPM"],
}
def load_file(d, fund):
try:
fname = next(
(DAILY_DIR / fund / "JPM_reports").glob(
f"CSCFTCSTMT-*-{d:%y%m%d}-909271_2.pdf"
)
)
except StopIteration:
raise FileNotFoundError(f"JPM file not found for date {d}")
return fname
def get_collateral(d: datetime.date, fund):
pdf_file = load_file(d, fund)
collat_page = load_pdf(pdf_file, pages=True)[3]
return float(get_col(pomme, 200, 300, 1000, 1100)[0].replace(",", ""))
def download_files(em, count=20, *, fund="BowdSt", **kwargs):
if fund not in paths:
return
emails = em.get_msgs(path=paths[fund], count=count, subject__startswith="909271")
DATA_DIR = DAILY_DIR / fund / "JPM_reports"
for msg in emails:
for attach in msg.attachments:
fname = attach.name
p = DATA_DIR / fname
if not p.exists():
stream = BytesIO(attach.content)
pdf = Pdf.open(stream, password="tm64EO")
pdf.save(p)
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