Add toggleable research column with dict expansion

Research column is hidden by default. A "Show research details" checkbox
expands the raw research dict into separate columns (research.answer,
research.sources, etc). CSV download always contains the full raw data.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

app.py

@@ -140,19 +140,6 @@ async def run_agent_map(api_key, file, query, effort_label, fields_list):
     output_df = result.data
 
     if "research" in output_df.columns:
-        def _extract_research(val):
-            if isinstance(val, dict):
-                return val.get("answer", str(val))
-            if isinstance(val, str):
-                try:
-                    parsed = ast.literal_eval(val)
-                    if isinstance(parsed, dict) and "answer" in parsed:
-                        return parsed["answer"]
-                except (ValueError, SyntaxError):
-                    pass
-            return val
-
-        output_df["research"] = output_df["research"].apply(_extract_research)
         cols = [c for c in output_df.columns if c != "research"] + ["research"]
         output_df = output_df[cols]
 
@@ -164,6 +151,56 @@ async def run_agent_map(api_key, file, query, effort_label, fields_list):
     return output_df, gr.update(value=tmp.name, visible=True)
 
 
+RESEARCH_TRUNCATE_LEN = 120
+
+
+def _parse_research_val(val):
+    """Try to parse a research value into a dict."""
+    if isinstance(val, dict):
+        return val
+    if isinstance(val, str):
+        try:
+            parsed = ast.literal_eval(val)
+            if isinstance(parsed, dict):
+                return parsed
+        except (ValueError, SyntaxError):
+            pass
+    return None
+
+
+def _extract_answer(val):
+    """Extract the answer string from a research value."""
+    parsed = _parse_research_val(val)
+    if parsed is not None:
+        return parsed.get("answer", str(val))
+    return str(val)
+
+
+def hide_research(df: pd.DataFrame) -> pd.DataFrame:
+    """Default view: drop the research column."""
+    if "research" not in df.columns:
+        return df
+    return df.drop(columns=["research"])
+
+
+def expand_research(df: pd.DataFrame) -> pd.DataFrame:
+    """Expanded view: explode research dict into separate columns."""
+    if "research" not in df.columns:
+        return df
+    result = df.copy()
+    parsed_dicts = result["research"].apply(_parse_research_val)
+    has_dicts = parsed_dicts.notna().any()
+    if not has_dicts:
+        return result
+    expanded = pd.json_normalize(parsed_dicts.apply(lambda v: v if v is not None else {}))
+    expanded.index = result.index
+    # Prefix expanded columns with "research." to avoid clashes
+    expanded.columns = [f"research.{c}" for c in expanded.columns]
+    result = result.drop(columns=["research"])
+    result = pd.concat([result, expanded], axis=1)
+    return result
+
+
 with gr.Blocks(
     title="everyrow research",
     css=".error-box { background: #fee; border: 1px solid #c00; border-radius: 8px; padding: 12px; color: #900; }",
@@ -379,10 +416,13 @@ with gr.Blocks(
                 result_df, download_update = await run_agent_map(
                     api_key_val, file_val, query_val, effort_val, fields_list
                 )
+                has_research = "research" in result_df.columns
                 return (
                     gr.update(value="", visible=False),
                     result_df,
+                    hide_research(result_df) if has_research else result_df,
                     download_update,
+                    gr.update(value=False, visible=has_research),
                 )
             except gr.Error:
                 raise
@@ -394,19 +434,40 @@ with gr.Blocks(
                     ),
                     gr.update(),
                     gr.update(),
+                    gr.update(),
+                    gr.update(),
                 )
 
         submit_btn.click(
             fn=on_submit,
             inputs=[api_key, file, query, effort] + all_text_inputs,
-            outputs=[error_box, output_table, download_btn],
+            outputs=[error_box, full_results_state, output_table, download_btn, research_toggle],
         )
 
     gr.Markdown("### Results")
     error_box = gr.Markdown(visible=False, elem_classes=["error-box"])
+    full_results_state = gr.State(None)
+    research_toggle = gr.Checkbox(
+        label="Show research details",
+        value=False,
+        visible=False,
+    )
     output_table = gr.Dataframe(label="Results")
     download_btn = gr.File(label="Download CSV", visible=False)
 
+    def toggle_research(show_full, full_df):
+        if full_df is None:
+            return gr.update()
+        if show_full:
+            return expand_research(full_df)
+        return hide_research(full_df)
+
+    research_toggle.change(
+        toggle_research,
+        inputs=[research_toggle, full_results_state],
+        outputs=output_table,
+    )
+
     def on_upload(file):
         if file is None:
             return gr.update(visible=False), gr.update(visible=False)