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script.py
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script.py
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import ast
from collections import OrderedDict
import pandas as pd
import requests
headers = {
"accept": "application/json",
"Content-Type": "application/json",
}
def get_songs(filenames: list) -> pd.DataFrame:
print("Reading csvs..")
na = ["", "NaN"]
df = pd.concat(
(pd.read_csv(file, na_values=na, keep_default_na=False) for file in filenames),
ignore_index=True,
)
print("Reading csv finished!")
return df
def create_songs(df: pd.DataFrame, start: int = 0) -> None:
print("Sending requests to api to create songs..")
counter = start
for row in df[start:].itertuples():
date = str(row.release_date).split("-")
json_data = {
"id": row.id,
"name": row.name,
"album": row.album,
"album_id": row.album_id,
"artists": row.artists,
"artist_ids": row.artist_ids,
"track_number": row.track_number,
"disc_number": row.disc_number,
"explicit": row.explicit,
"danceability": row.danceability,
"energy": row.energy,
"key": row.key,
"loudness": row.loudness,
"mode": row.mode,
"speechiness": row.speechiness,
"acousticness": row.acousticness,
"instrumentalness": row.instrumentalness,
"liveness": row.liveness,
"valence": row.valence,
"tempo": row.tempo,
"duration_ms": row.duration_ms,
"time_signature": row.time_signature,
"year": date[0],
"month": 1 if len(date) < 2 else date[1],
"day": 1 if len(date) < 3 else date[2],
}
requests.post(
"http://localhost:8000/debug/songs", headers=headers, json=json_data
)
counter
print("Done!")
def create_albums(df: pd.DataFrame, start: int = 0):
print("Sending requests to api to create songs..")
unique_album_ids = df["album_id"].unique().tolist()
for album_id in unique_album_ids[start:]:
album_df = df[df["album_id"] == album_id]
name = album_df["album"].iloc[0]
artists = list(
OrderedDict.fromkeys(
artist
for sublist in album_df["artists"].apply(ast.literal_eval)
for artist in sublist
)
)
artist_ids = list(
OrderedDict.fromkeys(
artist
for sublist in album_df["artist_ids"].apply(ast.literal_eval)
for artist in sublist
)
)
date = pd.to_datetime(album_df["release_date"]).max()
json_data = {
"id": album_id,
"name": name,
"artists": str(artists),
"artist_ids": str(artist_ids),
"number_of_tracks": len(album_df),
"explicit": bool(album_df["explicit"].any()),
"danceability": album_df["danceability"].mean(),
"energy": album_df["energy"].mean(),
"key": int(album_df["key"].mode().iloc[0]),
"loudness": album_df["loudness"].mean(),
"mode": int(album_df["mode"].mode().iloc[0]),
"speechiness": album_df["speechiness"].mean(),
"acousticness": album_df["acousticness"].mean(),
"instrumentalness": album_df["instrumentalness"].mean(),
"liveness": album_df["liveness"].mean(),
"valence": album_df["valence"].mean(),
"tempo": album_df["tempo"].mean(),
"duration_ms": int(album_df["duration_ms"].sum()),
"time_signature": int(album_df["time_signature"].mode().iloc[0]),
"year": date.year,
"month": date.month,
"day": date.day,
}
requests.post(
"http://localhost:8000/debug/albums", headers=headers, json=json_data
)
print("Done!")
if __name__ == "__main__":
csv_files = ["songs_0.csv", "songs_1.csv", "songs_2.csv", "songs_3.csv"]
# pd.set_option("display.max_columns", None)
df = get_songs(csv_files)
create_songs(df)
create_albums(df)