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