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Speed up historical forecast parsing by avoiding pd.json_normalize #38

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Merged
sam-watttime merged 1 commit into from
Mar 12, 2025
Merged

Speed up historical forecast parsing by avoiding pd.json_normalize #38

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17 changes: 10 additions & 7 deletions watttime/api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -395,13 +395,16 @@ def _parse_historical_forecast_json(
Returns:
pd.DataFrame: A pandas DataFrame containing the parsed historical forecast data.
"""
out = pd.DataFrame()
for json in json_list:
for entry in json.get("data", []):
_df = pd.json_normalize(entry, record_path=["forecast"])
_df = _df.assign(generated_at=pd.to_datetime(entry["generated_at"]))
out = pd.concat([out, _df], ignore_index=True)
return out
data = []
for j in json_list:
for gen_at in j["data"]:
for point_time in gen_at["forecast"]:
point_time["generated_at"] = gen_at["generated_at"]
data.append(point_time)
df = pd.DataFrame.from_records(data)
df["point_time"] = pd.to_datetime(df["point_time"])
df["generated_at"] = pd.to_datetime(df["generated_at"])
return df

def get_forecast_json(
self,
Expand Down