Added initial streamlit app for dashboard editor

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
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+*.so
+
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+.Python
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+.installed.cfg
+*.egg
+MANIFEST
+
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+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
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+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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+
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+.pdm.toml
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+#.idea/
+

streamlit_app/FAIR_MS_Library_Editor.py

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+import json
+import os
+import tempfile
+import streamlit as st
+
+st.set_page_config(
+    layout="wide", 
+    page_title="FAIR MS Library Curation Editor", 
+    #page_icon="assets/favicon.ico",
+    menu_items={
+        'Get Help': 'https://github.com/mzmine/biohack23_p15',
+        'Report a bug': "https://github.com/mzmine/biohack23_p15/issues/new/choose",
+        'About': "# This is the creation and curation wizard for FAIR MS Libraries."
+    }
+)
+
+from streamlit.runtime.scriptrunner.script_run_context import get_script_run_ctx
+ctx = get_script_run_ctx()
+if 'session_id' not in st.session_state:
+    print("Setting session ID:", ctx.session_id)
+    st.session_state.session_id = ctx.session_id
+else:
+    print("Retrieving session ID:", st.session_state.session_id)
+
+if 'submission_id' not in st.session_state:
+    submission_id = "FMSL-"+st.session_state.session_id
+    print(f"Setting submission id {submission_id}")
+    st.session_state.submission_id = submission_id
+
+submission_id = st.session_state.submission_id
+
+if 'cv_config' not in st.session_state:
+    # reading the data from the file
+    with open('config.json') as f:
+        data = f.read()
+    config = json.loads(data)
+    st.session_state.cv_config = config
+
+tmp_dir = tempfile.gettempdir()
+working_dir = os.path.join(tmp_dir, "fairmslib", submission_id)
+os.makedirs(working_dir, exist_ok=True)
+print("Working dir:", working_dir)
+st.session_state['working_dir'] = working_dir
+
+st.title("FAIR MS Library Curation Editor")
+st.markdown(f"Provisional submission ID: {submission_id}")
+
+# Using "with" notation
+with st.sidebar:
+    st.markdown("## Datasets")
+    if 'datasets' not in st.session_state or st.session_state['datasets'] == {}:
+        st.warning("Please upload a file to begin!")
+    if 'selected_sheets' not in st.session_state or st.session_state['selected_sheets'] == {}:
+        st.warning("Please select a dataset to begin!")
+    # with st.spinner("Loading..."):
+    #     time.sleep(5)
+    # st.success("Done!")
+    if 'datasets' in st.session_state and st.session_state['datasets'] != {}:
+        for key in st.session_state['selected_sheets']:
+            with st.expander(key):
+                datasets = st.session_state['datasets']
+                rowsMetricColumn, columnsMetricColumn = st.columns(2)
+                with rowsMetricColumn:
+                    st.metric('Rows', datasets[key].shape[0])
+                with columnsMetricColumn:
+                    st.metric('Columns', datasets[key].shape[1])
+                # if st.button("Edit", key=key):
+                #     selected_sheet = key
+                # if key in datasets_metadata:
+                #     st.write(datasets_metadata[key].keys())
+            # st.write(datasets[dataset_key])
+        # st.json(datasets)

streamlit_app/README.md

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+# Streamlit Application for FAIR MassSpectral Library Curation and Editing
+
+[GitHub repository](https://github.com/mzmine/biohack23_p15) - folder _streamlit_app_
+
+## Installation
+
+## Development
+
+Use python venv to use defined dependencies.
+
+python -m venv venv
+
+source venv/bin/activate
+
+to activate the virtual environment.
+
+You can then use the provided requirements.txt to populate the required dependencies in your virtual environment.
+
+pip install -r requirements.txt
+
+## Running the application
+
+After you have activated the virtual environment and the packages listed in requirements.txt are installed, you can launch the streamlit application as follows:
+
+streamlit run FAIR_MS_Library_Editor.py 

streamlit_app/config.json

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+{
+    "ontologies":  {
+        "NCIT": "ncit",
+        "MS": "ms",
+        "MSIO": "msio",
+        "UO": "uo",
+        "NCBITaxon": "ncbitaxon",
+        "BTO": "bto",
+        "PRIDE": "pride",
+        "EFO": "efo"
+    },
+    "static_cv_terms": {
+        "MS:1003309": {
+            "term_obo_id": "MS:1003309",
+            "cv": "MS",
+            "name": "Goslin",
+            "value": null
+        }
+    }
+}