first commit

app.py

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+#! 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",
+    )

requirements.txt

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+altair==4.2.2
+attrs==22.2.0
+backports.zoneinfo==0.2.1
+blinker==1.5
+cachetools==5.3.0
+certifi==2022.12.7
+charset-normalizer==3.1.0
+click==8.1.3
+decorator==5.1.1
+entrypoints==0.4
+gitdb==4.0.10
+GitPython==3.1.31
+idna==3.4
+importlib-metadata==6.0.0
+importlib-resources==5.12.0
+Jinja2==3.1.2
+jsonschema==4.17.3
+markdown-it-py==2.2.0
+MarkupSafe==2.1.2
+mdurl==0.1.2
+numpy==1.24.2
+packaging==23.0
+pandas==1.5.3
+Pillow==9.4.0
+pkgutil_resolve_name==1.3.10
+protobuf==3.20.3
+pyarrow==11.0.0
+pydeck==0.8.0
+Pygments==2.14.0
+Pympler==1.0.1
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+pytz==2022.7.1
+pytz-deprecation-shim==0.1.0.post0
+requests==2.28.2
+rich==13.3.2
+semver==2.13.0
+six==1.16.0
+smmap==5.0.0
+streamlit==1.20.0
+toml==0.10.2
+toolz==0.12.0
+tornado==6.2
+typing_extensions==4.5.0
+tzdata==2022.7
+tzlocal==4.2
+urllib3==1.26.15
+validators==0.20.0
+zipp==3.15.0