mirror of
https://github.com/Steffo99/unimore-bda-3.git
synced 2024-11-23 00:14:22 +00:00
61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
from unimore_bda_3.prelude import *
|
|
import re
|
|
import json
|
|
|
|
|
|
PRICE_REGEX = re.compile(r"""Charts[.]Builder[(]setup, (.+?)[)]""")
|
|
"""
|
|
A regex to extract price JSON data from a price graph ``<script>`` object.
|
|
"""
|
|
|
|
|
|
def _load_price_series(src: dict) -> pd.Series:
|
|
"""
|
|
Load the contents of a IsThereAnyDeal price graph series into a `pandas.Series`.
|
|
"""
|
|
|
|
index = [pd.Timestamp(item[0], unit="ms", tz="utc") for item in src["data"]]
|
|
data = [item[1] for item in src["data"]]
|
|
|
|
series = pd.Series(
|
|
data=data,
|
|
index=index,
|
|
name=f"""ITAD · {src["name"]}"""
|
|
)
|
|
if "Worst" in series.name or "High" in series.name:
|
|
series = series.groupby(series.index.date).max()
|
|
else:
|
|
series = series.groupby(series.index.date).min()
|
|
|
|
return series
|
|
|
|
|
|
def _load_price_dataframe(match: str) -> pd.DataFrame:
|
|
"""
|
|
Load the contents of a IsThereAnyDeal price graph ``Charts.Builder`` into a `pandas.DataFrame`.
|
|
"""
|
|
|
|
srcs: list = json.loads(match)
|
|
|
|
dataframe = pd.DataFrame(
|
|
data=[_load_price_series(src) for src in srcs]
|
|
).T
|
|
dataframe.index = pd.to_datetime(dataframe.index)
|
|
|
|
return dataframe
|
|
|
|
|
|
def load(fd: t.IO[str]) -> list[pd.DataFrame]:
|
|
"""
|
|
Load the contents of a IsThereAnyDeal price graph ``<script>`` object into a `list` of `pandas.DataFrame`\\ s.
|
|
"""
|
|
|
|
data = fd.read()
|
|
matches: list[str] = PRICE_REGEX.findall(data)
|
|
|
|
return [_load_price_dataframe(match) for match in matches]
|
|
|
|
|
|
__all__ = (
|
|
"load",
|
|
)
|