Merge pull request #13 from dogukankaratas/asceResponse

asce method added

Welcome.py

@@ -1,50 +1,33 @@
 import streamlit as st
+import base64
 
 st.set_page_config(page_title="Scalepy GUI", layout="wide")
 
 with st.sidebar:
     st.markdown("# ScalePy")
-    st.markdown("Click [here](https://github.com/dogukankaratas/scalepy) for source code.")
-    st.markdown("Use [here](https://www.linkedin.com/in/dogukankaratas/) to reach me.")
+    st.markdown("💻 Click [here](https://github.com/dogukankaratas/scalepy) for source code.")
+    st.markdown("🧑‍💻 Use [here](https://www.linkedin.com/in/dogukankaratas/) to reach me.")
 
 st.markdown("# Welcome to ScalePy 👋")
 st.write("ScalePy is an open-source ground motion selection and scaling framework developed in Python.")
 st.write("Package can be use as an API, which is located in GitHub page, and also a GUI has developed for the end-user.")
 
-st.markdown('## Guide')
-st.markdown('Follow the steps below to get started.')
-
-st.markdown('### Step 1: Generate Response Spectrum')
-st.markdown("First generate a response spectrum with using built-in functions or upload a file.")
-col1, col2 = st.columns(2)
-with col1:
-    st.image('assets/responseSpectrum.png')
-with col2:
-    pass
-
-st.markdown('### Step 2: Filter Record Database and Select Record Set')
-st.markdown('Filter your records acc. to the properties of your case and select an optimum set using ScalePy algorithm.')
-col3, col4 = st.columns(2)
-with col3:
-    st.image('assets/filterRecords.png')
-with col4:
-    st.image('assets/selectRecords.png')
-
-st.markdown('### Step 3: Amplitude Scaling')
-st.markdown('Perform amplitude scaling with selected spectral ordinate.')
-col5, col6 = st.columns(2)
-with col5:
-    st.image('assets/scaleRecords.png')
-with col6:
-    st.image('assets/rotScale.png')
-
-st.markdown('### Results')
-st.markdown('For every step, your data will be visualized in the chart.')
-col7, col8 = st.columns(2)
-with col7:
-    st.image('assets/optimumRecords.png')
-with col8:
-    st.image('assets/scaledRecordsChart.png')
-
-st.markdown("Also you can read your scale factors and selected records from the table.")
-st.image('assets/resultTable.png')
+st.markdown('## Response Spectrum Definition')
+st.markdown('Define your target spectrum via using one of the functions of ScalePy below.')
+
+st.image("https://media.giphy.com/media/o0FcopcmojZRYw0lrK/giphy.gif")
+
+st.markdown('## Filter Record Database')
+st.markdown('Use the given parameters to filter ground motion database records to find similiar ground motions with your case.')
+
+st.image("https://media.giphy.com/media/eX8k3hxYu5pDv2Ubjg/giphy.gif")
+
+st.markdown('## Find Optimum Set')
+st.markdown('Use ScalePy similarity algorithm to find optimum ground motion data set.')
+
+st.image("https://media.giphy.com/media/31KMao2AiZO5TpQAso/giphy.gif")
+
+st.markdown('## Perform Amplitude Scaling')
+st.markdown('Use the user inputs to perform amplitude scaling and find optimum scale factors for your set.')
+
+st.image("https://media.giphy.com/media/O8Af6Yivtoi9g2u46W/giphy.gif")

accesAsce.py

@@ -0,0 +1,67 @@
+import requests
+import json
+import pandas as pd
+
+def getAsceDataMulti(lat, long, risk, site, title):
+
+    asceDataMulti = pd.DataFrame(columns=["multiPeriodDesignSpectrumPeriods", "multiPeriodDesignSpectrumOrdinates"])
+
+    url = f"https://earthquake.usgs.gov/ws/designmaps/asce7-22.json?latitude={lat}&longitude={long}&riskCategory={risk}&siteClass={site}&title={title}"
+
+    r = requests.get(url)
+
+    schema = json.loads(r.text)
+
+    # Multi Period Design Spectrum
+    asceDataMulti['multiPeriodDesignSpectrumPeriods'] = schema['response']['data']['multiPeriodDesignSpectrum']['periods']
+    asceDataMulti['multiPeriodDesignSpectrumOrdinates'] = schema['response']['data']['multiPeriodDesignSpectrum']['ordinates']
+
+    return asceDataMulti
+
+def getAsceDataMultiMCEr(lat, long, risk, site, title):
+
+    asceDataMultiMCEr = pd.DataFrame(columns=["multiPeriodMCErSpectrumPeriods", "multiPeriodMCErSpectrumOrdinates"])
+
+    url = f"https://earthquake.usgs.gov/ws/designmaps/asce7-22.json?latitude={lat}&longitude={long}&riskCategory={risk}&siteClass={site}&title={title}"
+
+    r = requests.get(url)
+
+    schema = json.loads(r.text)
+
+    ## Multi Period MCEr Spectrum
+    asceDataMultiMCEr['multiPeriodMCErSpectrumPeriods'] = schema['response']['data']['multiPeriodMCErSpectrum']['periods']
+    asceDataMultiMCEr['multiPeriodMCErSpectrumOrdinates'] = schema['response']['data']['multiPeriodMCErSpectrum']['ordinates']
+
+    return asceDataMultiMCEr
+
+def getAsceDataTwo(lat, long, risk, site, title):
+
+    asceDataTwo = pd.DataFrame(columns=["twoPeriodDesignSpectrumPeriods", "twoPeriodDesignSpectrumOrdinates"])
+
+    url = f"https://earthquake.usgs.gov/ws/designmaps/asce7-22.json?latitude={lat}&longitude={long}&riskCategory={risk}&siteClass={site}&title={title}"
+
+    r = requests.get(url)
+
+    schema = json.loads(r.text)
+
+    ## Two period Design Spectrum
+    asceDataTwo['twoPeriodDesignSpectrumPeriods'] = schema['response']['data']['twoPeriodDesignSpectrum']['periods']
+    asceDataTwo['twoPeriodDesignSpectrumOrdinates'] = schema['response']['data']['twoPeriodDesignSpectrum']['ordinates']
+
+    return asceDataTwo.drop(10)
+
+def getAsceDataTwoMCEr(lat, long, risk, site, title):
+
+    asceDataTwoMCEr = pd.DataFrame(columns=["twoPeriodMCErSpectrumPeriods", "twoPeriodMCErSpectrumOrdinates"])
+
+    url = f"https://earthquake.usgs.gov/ws/designmaps/asce7-22.json?latitude={lat}&longitude={long}&riskCategory={risk}&siteClass={site}&title={title}"
+
+    r = requests.get(url)
+
+    schema = json.loads(r.text)
+
+    ## Two period MCEr Spectrum
+    asceDataTwoMCEr['twoPeriodMCErSpectrumPeriods'] = schema['response']['data']['twoPeriodMCErSpectrum']['periods']
+    asceDataTwoMCEr['twoPeriodMCErSpectrumOrdinates'] = schema['response']['data']['twoPeriodMCErSpectrum']['ordinates']
+
+    return asceDataTwoMCEr.drop(10)