ElmiraManavi commited on
Commit ·
75280e5
1
Parent(s): 0b2c8df
initial commit
Browse files- .gitignore +3 -0
- requirements.txt +0 -0
- src/pages/Eventfinder.py +68 -0
- src/streamlit_app.py +0 -39
.gitignore
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/.idea/
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/.venv/
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/.env
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requirements.txt
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Binary files a/requirements.txt and b/requirements.txt differ
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src/pages/Eventfinder.py
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import os
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from streamlit import streamlit as st
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from streamlit.components.v1 import html
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from dotenv import load_dotenv
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from pymongo import MongoClient
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@st.cache_resource
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def init_connection():
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load_dotenv()
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uri = f"mongodb+srv://{os.getenv('MONGO_USERNAME')}:{os.getenv('MONGO_PASSWORD')}@{os.getenv('MONGO_HOST')}/?retryWrites=true&w=majority&appName=Cluster0"
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client = MongoClient(uri)
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return client.event_data
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def display_event(event_data):
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title = event_data.get("title")
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st.write(f"**{title or '-'}**")
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schedule = event_data.get("schedule", [])
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if schedule:
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for schedule_entry in schedule:
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start_date = schedule_entry.get("startdate")
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if start_date:
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start_date = start_date.strftime("%d.%m.%Y")
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end_date = schedule_entry.get("enddate")
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if end_date:
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end_date = end_date.strftime("%d.%m.%Y")
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start_time = schedule_entry.get("starttime")
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if start_time:
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start_time = start_time.strftime("%H:%M")
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end_time = schedule_entry.get("endtime")
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if end_time:
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end_time = end_time.strftime("%H:%M")
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st.write(
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f"🗓️ Start: {(start_date or '')} {start_time or ''} | "
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f"Ende: {end_date or ''} {end_time or ''}"
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)
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else:
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st.write(f"🗓️ - ")
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locations = event_data.get("locations", [])
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for location in locations:
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st.write(f" 📍 {location.get('geolocation', {}).get('formatted')}")
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if location.get("additional_directions"):
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st.write(f" 💡 {location.get('additional_directions')}")
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url = event_data.get("url")
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st.link_button("Mehr Infos", url=url)
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db = init_connection()
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count = db.events.count_documents({})
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events = db.events.find({})
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st.write(f"{count} events found")
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with st.container(height=600):
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for event in events:
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print(event)
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with st.container(border=True):
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display_event(event)
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src/streamlit_app.py
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import altair as alt
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import numpy as np
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import pandas as pd
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import streamlit as st
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"""
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# Welcome to Streamlit!
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Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
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If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
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forums](https://discuss.streamlit.io).
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In the meantime, below is an example of what you can do with just a few lines of code:
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"""
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num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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indices = np.linspace(0, 1, num_points)
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theta = 2 * np.pi * num_turns * indices
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radius = indices
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x = radius * np.cos(theta)
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y = radius * np.sin(theta)
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df = pd.DataFrame({
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"x": x,
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"y": y,
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"idx": indices,
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"rand": np.random.randn(num_points),
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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.mark_point(filled=True)
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.encode(
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x=alt.X("x", axis=None),
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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import streamlit as st
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