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add warning message and increase n words

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This commit is contained in:
Luigi Maiorano
2025-12-16 23:56:13 -08:00
parent 8fbc11da7a
commit d6b449e8c6
1 changed files with 28 additions and 18 deletions
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46
02-B_Thematic-Processing.py
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@@ -208,7 +208,7 @@ def _(client, mo, model_select, pd, start_processing_btn, tags_df):
return (df,) return (df,)
@app.cell @app.cell(hide_code=True)
def _(KEYWORDS_FPATH, KEYWORD_FREQ_FPATH, df, mo, pd, start_processing_btn): def _(KEYWORDS_FPATH, KEYWORD_FREQ_FPATH, df, mo, pd, start_processing_btn):
mo.stop(not start_processing_btn.value, "Click button above to process first") mo.stop(not start_processing_btn.value, "Click button above to process first")
@@ -252,15 +252,19 @@ def _(KEYWORDS_FPATH, KEYWORD_FREQ_FPATH, df, mo, pd, start_processing_btn):
@app.cell(hide_code=True) @app.cell(hide_code=True)
def _(mo): def _(KEYWORD_FREQ_FPATH, mo):
mo.md(r""" mo.md(rf"""
# 4b) [optional] Load data from `keyword_frequencies_*.xlsx` # 4b) [optional] Load data from `keyword_frequencies_{KEYWORD_FREQ_FPATH.name}`
""") """)
return return
@app.cell(hide_code=True) @app.cell(hide_code=True)
def _(KEYWORD_FREQ_FPATH, mo): def _(KEYWORD_FREQ_FPATH, mo, start_processing_btn):
if start_processing_btn is not None: # Triggers re-execution of this cell when keyword extraction completes
pass
load_existing_btn = None load_existing_btn = None
if KEYWORD_FREQ_FPATH.exists(): if KEYWORD_FREQ_FPATH.exists():
load_existing_btn = mo.ui.run_button(label=f"Load keywords from `{KEYWORD_FREQ_FPATH.name}`") load_existing_btn = mo.ui.run_button(label=f"Load keywords from `{KEYWORD_FREQ_FPATH.name}`")
@@ -370,24 +374,30 @@ def _(mo, table_selection):
@app.cell(hide_code=True) @app.cell(hide_code=True)
def _(KEYWORD_FREQ_FPATH, frequency_df, remove_rows_btn, table_selection): def _(KEYWORD_FREQ_FPATH, frequency_df, mo, remove_rows_btn, table_selection):
_s = None
if remove_rows_btn is not None and remove_rows_btn.value: if remove_rows_btn is not None and remove_rows_btn.value:
# get selected rows # get selected rows
selected_rows = table_selection.value selected_rows = table_selection.value
if len(selected_rows) >0 : if len(selected_rows) >0 :
rows_to_drop = table_selection.value.index.tolist() rows_to_drop = table_selection.value.index.tolist()
try:
frequency_df.drop(index=rows_to_drop, inplace=True, axis=0)
except KeyError:
_s = mo.callout("GO TO STEP 4b) and reload data to continue refining the dataset.", kind='warn')
else:
# Save updated frequencies back to xlsx
frequency_df.to_excel(
KEYWORD_FREQ_FPATH,
index=False
)
print(f"Updated keyword frequencies saved to: `{KEYWORD_FREQ_FPATH}`")
frequency_df.drop(index=rows_to_drop, inplace=True, axis=0) # mo.callout(f"Updated keyword frequencies saved to: `{KEYWORD_FREQ_FPATH}`", kind="success")
_s = mo.callout("GO TO STEP 4b) and reload data to continue refining the dataset.", kind='warn')
# Save updated frequencies back to xlsx
frequency_df.to_excel(
KEYWORD_FREQ_FPATH,
index=False
)
print(f"Updated keyword frequencies saved to: `{KEYWORD_FREQ_FPATH}`")
print("GO TO STEP 4b) and reload data to continue refining the dataset.") _s
return return
@@ -522,7 +532,7 @@ def _(
width=canvas_size[0], width=canvas_size[0],
height=canvas_size[1], height=canvas_size[1],
max_font_size=100, # Increased font size for larger canvas max_font_size=100, # Increased font size for larger canvas
max_words=20, # Increased word count to fill space max_words=40, # Increased word count to fill space
color_func=blue_color_func, color_func=blue_color_func,
mask=chase_mask, # Apply the circular mask mask=chase_mask, # Apply the circular mask
contour_width=0, contour_width=0,
@@ -536,7 +546,7 @@ def _(
width=canvas_size[0], width=canvas_size[0],
height=canvas_size[1], height=canvas_size[1],
max_font_size=150, # Increased font size for larger canvas max_font_size=150, # Increased font size for larger canvas
max_words=20, # Increased word count to fill space max_words=40, # Increased word count to fill space
color_func=blue_color_func, color_func=blue_color_func,
# mask=chase_mask, # Apply the circular mask # mask=chase_mask, # Apply the circular mask
# contour_width=0, # contour_width=0,