91 lines
2.4 KiB
Python
91 lines
2.4 KiB
Python
#! python3
|
|
import pandas as pd
|
|
import streamlit as st
|
|
|
|
|
|
def get_seconds(t):
|
|
"""Translates duration to seconds"""
|
|
return int(t[: t.find(":")]) * 60 + int(t[t.find(":") + 1 :])
|
|
|
|
def get_time(s):
|
|
h = int(s/3600)
|
|
m = int((s%3600)/60)
|
|
s = int((s%3600)%60)
|
|
if s >= 3600:
|
|
t = f'{h}:{m}:{s}'
|
|
elif s >=60:
|
|
t = f'{m:s}'
|
|
else:
|
|
t= f'{s}'
|
|
|
|
|
|
st.title("Music Report for Hindenburg")
|
|
st.markdown(
|
|
"""
|
|
**Paste your music report från Hindenburg in the field below to
|
|
get a report with the total lenght of each song used. If you chose to download it
|
|
you will get a CSV where you find the start time for each music clip in the report.**
|
|
"""
|
|
)
|
|
# Get data from clipboard
|
|
data = st.text_area(
|
|
label="Paste your music report from Hindenburg here.",
|
|
label_visibility="hidden",
|
|
placeholder="Paste music report here.",
|
|
)
|
|
|
|
if data:
|
|
rows = data.split("\n")
|
|
|
|
# Dict to fill with info
|
|
d = {}
|
|
|
|
# Get data into dict
|
|
for row in rows:
|
|
l = row.split("\t")
|
|
if len(l) < 3: # Filter out empty rows
|
|
continue
|
|
start = str(l[0])
|
|
title = l[2]
|
|
duration = l[1]
|
|
if title in d: # If the song has been used already.
|
|
d[title] = {
|
|
"Starts": d[title]["Starts"] + ", " + start,
|
|
"Duration": d[title]["Duration"] + get_seconds(duration),
|
|
"Artist": l[3],
|
|
}
|
|
else:
|
|
d[title] = {
|
|
"Starts": start,
|
|
"Duration": get_seconds(duration),
|
|
"Artist": l[3],
|
|
}
|
|
|
|
# Put data into a dataframe.
|
|
df = pd.DataFrame.from_dict(d, orient="index")
|
|
df["Title"] = df.index
|
|
df.index = [i for i in range(1, df.shape[1] + 1)]
|
|
# CSS to inject contained in a string
|
|
hide_table_row_index = """
|
|
<style>
|
|
thead tr th:first-child {display:none}
|
|
tbody th {display:none}
|
|
</style>
|
|
"""
|
|
print(df)
|
|
# Inject CSS with Markdown
|
|
st.markdown(hide_table_row_index, unsafe_allow_html=True)
|
|
|
|
# Display as dataframe.
|
|
st.dataframe(df[["Title", "Artist", "Duration"]])
|
|
|
|
st.download_button(
|
|
"Download as CSV",
|
|
data=df[["Title", "Artist", "Duration", "Starts"]]
|
|
.to_csv(index=False, sep=";")
|
|
.encode("utf-8"),
|
|
file_name="music_report.csv",
|
|
mime="text/csv",
|
|
key="download-csv",
|
|
)
|