From 2e8058e8116e6fd3cc18893dd96ae966c227ed08 Mon Sep 17 00:00:00 2001 From: peterdudfield Date: Thu, 15 Aug 2024 12:19:15 +0100 Subject: [PATCH] PR comments --- src/india_api/internal/service/csv.py | 2 +- src/india_api/internal/service/regions.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/india_api/internal/service/csv.py b/src/india_api/internal/service/csv.py index fb7bd3b..9838007 100644 --- a/src/india_api/internal/service/csv.py +++ b/src/india_api/internal/service/csv.py @@ -29,7 +29,7 @@ def format_csv(values: list[PredictedPower]) -> pd.DataFrame: # combine start and end times df["Time"] = df["Start Time [IST]"].astype(str) + " - " + df["End Time [IST]"].astype(str) - # drop start, end and Time columns and order + # drop start and end columns and order df = df.drop(columns=["Start Time [IST]", "End Time [IST]"]) df = df[["Date [IST]", "Time", "PowerKW"]] diff --git a/src/india_api/internal/service/regions.py b/src/india_api/internal/service/regions.py index a057453..1192d80 100644 --- a/src/india_api/internal/service/regions.py +++ b/src/india_api/internal/service/regions.py @@ -202,7 +202,7 @@ def get_forecast_da_csv( tomorrow_ist = df["Date [IST]"].iloc[0] csv_file_path = f"{region}_{source}_da_{tomorrow_ist}.csv" - description = f"This file is made for {region} for {source} for {tomorrow_ist}, this was made at {now_ist}" + description = f"Forecast for {region} for {source} for {tomorrow_ist}. The Forecast was created at {now_ist}" output = df.to_csv(index=False) return StreamingResponse(