Update page_files/Upload_Data.py

page_files/Upload_Data.py

@@ -101,7 +101,7 @@ def _df_to_meta(df: pd.DataFrame) -> dict:
         "material_abbreviation": str(row0.get("material_abbreviation", "")),
         "trade_grade":           str(row0.get("trade_grade", "")),
         "manufacturer":          str(row0.get("manufacturer", "")),
-        "doi":                   str(row0.get("doi", "")),
+        "doi_url":               str(row0.get("doi_url", "")),
         "mechanical_properties": props,
     }
 
@@ -543,7 +543,7 @@ def render_material_data_tab(pdf_path: str):
                 unsafe_allow_html=True,
             )
             timer.caption(
-                f" Elapsed: {elapsed:.0f}s"
+                f"⏱ Elapsed: {elapsed:.0f}s"
                 + (f" · Est. remaining: ~{est_remaining}s" if est_remaining > 0 else "")
             )
 
@@ -554,12 +554,11 @@ def render_material_data_tab(pdf_path: str):
         data = call_gemini_from_bytes(pdf_bytes)
         df = convert_to_dataframe(data)
 
-        # DOI — regex over the PDF text, attached to every row. doi_url is the
-        # column category_push preserves into <table>_extras.
+        # DOI — regex over the PDF text, stored as a full URL (single column).
         doi = _extract_doi_from_pdf(pdf_bytes)
+        doi_url = f"https://doi.org/{doi}" if doi else ""
         if not df.empty:
-            df["doi"] = doi
-            df["doi_url"] = doi
+            df["doi_url"] = doi_url
 
         if not df.empty:
             _cb("Verifying against source PDF…", 0.70)
@@ -576,7 +575,7 @@ def render_material_data_tab(pdf_path: str):
             st.session_state.pdf_extracted_df   = df
             st.session_state.pdf_data_extracted = True
             st.session_state.pdf_extracted_meta = _df_to_meta(df)
-            st.session_state.pdf_doi            = doi
+            st.session_state.pdf_doi            = doi_url
             st.success(f" Extracted {len(df)} properties in {elapsed_total:.0f}s")
         else:
             st.warning("No data extracted from PDF.")
@@ -720,7 +719,7 @@ def render_plots_tab(pdf_path: str, paper_id: str):
     if has_data:
         cA, cB = st.columns([0.6, 0.4])
         run_map = cA.button(
-            "  Map properties → figures",
+            " Map properties → figures",
             type="primary",
             disabled=st.session_state.get("mapping_done", False),
             use_container_width=True,
@@ -752,8 +751,8 @@ def render_plots_tab(pdf_path: str, paper_id: str):
 
     # 3) Figure-centric review — each figure with delete/remove controls and
     #    (after mapping) the property rows linked to it.
-    st.caption("Review the crops below. Remove a bad crop with **✕**, or drop a whole "
-               "figure with **🗑**. Editing figures clears the current mapping — re-run "
+    st.caption("Review the crops below. Remove a bad crop with ** **, or drop a whole "
+               "figure with ** **. Editing figures clears the current mapping — re-run "
                "mapping afterwards.")
     for gi, group in enumerate(plot_results):
         caption = group.get("caption", f"Figure {gi+1}")
@@ -763,7 +762,7 @@ def render_plots_tab(pdf_path: str, paper_id: str):
         with st.container(border=True):
             head, dele = st.columns([0.85, 0.15])
             head.markdown(f"**Page {page}** — {caption}")
-            if dele.button(" Delete ", key=f"delfig_{gi}", use_container_width=True):
+            if dele.button(" Delete figure", key=f"delfig_{gi}", use_container_width=True):
                 plot_results.pop(gi)
                 st.session_state.plot_results = plot_results
                 _reset_plot_mapping()
@@ -845,7 +844,7 @@ def render_plots_tab(pdf_path: str, paper_id: str):
                "attaches each crop's path. Push conforms those rows to the chosen "
                "category table's 33-column schema and uploads them.")
 
-    if st.button("Store to database (SQLite)", use_container_width=True):
+    if st.button(" Store to database (SQLite)", use_container_width=True):
         with st.spinner("Saving crops and writing SQLite…"):
             st.session_state.store = mapper5.store_properties_with_plots(
                 st.session_state.df_aug,