initial

logic/switch_page.py

+def switch_page(page_name: str):
+    from streamlit.runtime.scriptrunner import RerunData, RerunException
+    from streamlit.source_util import get_pages
+
+    def standardize_name(name: str) -> str:
+        return name.lower().replace("_", " ")
+
+    page_name = standardize_name(page_name)
+
+    pages = get_pages("streamlit_app.py")  # OR whatever your main page is called
+
+    for page_hash, config in pages.items():
+        if standardize_name(config["page_name"]) == page_name:
+            raise RerunException(
+                RerunData(
+                    page_script_hash=page_hash,
+                    page_name=page_name,
+                )
+            )
+
+    page_names = [standardize_name(config["page_name"]) for config in pages.values()]
+
+    raise ValueError(f"Could not find page {page_name}. Must be one of {page_names}")
\ No newline at end of file

pages/conversion_page.py

+import streamlit as st
+
+st.title('Machine Data File Conversions')

pages/upload_page.py

+import os
+
+import streamlit as st
+from mdata.file_formats.csv import read_machine_data
+from mdata.file_formats.hdf import read_machine_data_h5
+
+from logic.page_logic import available_widgets, generate_page
+
+st.set_page_config(layout="wide")
+st.title('Machine Data Viewer')
+
+import_type = st.selectbox('Import Type', ['csv', 'hdf'])
+
+files = {}
+if import_type == 'csv':
+    csv_header_upload = st.file_uploader("Upload a header csv file", type='.csv')
+    csv_data_upload = st.file_uploader("Upload a data csv file", type='.csv')
+    files['csv_header_upload'] = csv_header_upload
+    files['csv_data_upload'] = csv_data_upload
+elif import_type == 'hdf':
+    hdf_upload = st.file_uploader('Upload an HDF file', type=['.hdf', '.h5'])
+    files['hdf_upload'] = hdf_upload
+
+
+# @st.experimental_memo
+def import_hdf(f):
+    fn = os.path.join('uploads', f.name)
+    with open(fn, 'wb') as fd:
+        fd.write(f.getbuffer())
+        fd.flush()
+    return read_machine_data_h5(fn)
+
+
+# @st.experimental_memo
+def import_csv(hf, df):
+    return read_machine_data(hf, df, validity_checking=False)
+
+
+@st.cache_data
+def attempt_import(import_type, **files):
+    if import_type == 'csv' and files.get('csv_header_upload') is not None and files.get('csv_data_upload') is not None:
+        csv_header_upload = files['csv_header_upload']
+        csv_data_upload = files['csv_data_upload']
+        return import_csv(csv_header_upload, csv_data_upload)
+    elif import_type == 'hdf' and files.get('hdf_upload') is not None:
+        hdf_upload = files['hdf_upload']
+        return import_hdf(hdf_upload)
+
+
+md = attempt_import(import_type, **files)
+
+selected_widget = st.sidebar.selectbox('Widget', available_widgets)
+
+if md is not None:
+    generate_page(md, selected_widget)