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This commit is contained in:
Osman Faruk Bayram 2025-11-03 14:41:59 +03:00
parent d5b6b8c335
commit 6cf06efd6d
1 changed files with 89 additions and 69 deletions
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158
modules/nixos/services/wanikani-stats/app.py
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@ -102,34 +102,36 @@ def get_plotly_html(df, column, title, ylabel):
"""Generate an interactive Plotly HTML for a given DataFrame column.""" """Generate an interactive Plotly HTML for a given DataFrame column."""
fig = go.Figure() fig = go.Figure()
fig.add_trace(go.Scatter( fig.add_trace(
x=df["date"], go.Scatter(
y=df[column], x=df["date"],
mode='lines+markers', y=df[column],
name=column.capitalize(), mode="lines+markers",
line=dict(width=2), name=column.capitalize(),
marker=dict(size=6) line=dict(width=2),
)) marker=dict(size=6),
)
)
fig.update_layout( fig.update_layout(
title=title, title=title,
xaxis_title="Date", xaxis_title="Date",
yaxis_title=ylabel, yaxis_title=ylabel,
template="plotly_dark", template="plotly_dark",
plot_bgcolor='#151519', plot_bgcolor="#151519",
paper_bgcolor='#151519', paper_bgcolor="#151519",
width=1200, width=1200,
height=600, height=600,
margin=dict(l=50, r=50, t=50, b=50) margin=dict(l=50, r=50, t=50, b=50),
) )
# Show every 10th date label for better readability # Show every 10th date label for better readability
date_indices = list(range(0, len(df), 10)) date_indices = list(range(0, len(df), 10))
fig.update_xaxes( fig.update_xaxes(
tickmode='array', tickmode="array",
tickvals=[df.iloc[i]["date"] for i in date_indices], tickvals=[df.iloc[i]["date"] for i in date_indices],
ticktext=[df.iloc[i]["date"] for i in date_indices], ticktext=[df.iloc[i]["date"] for i in date_indices],
tickangle=45 tickangle=45,
) )
return fig.to_html(include_plotlyjs=True, div_id=f"plot_{column}") return fig.to_html(include_plotlyjs=True, div_id=f"plot_{column}")
@ -140,72 +142,74 @@ def get_apprentice_distribution_html(df):
fig = go.Figure() fig = go.Figure()
# Add stacked area traces # Add stacked area traces
fig.add_trace(go.Scatter( fig.add_trace(
x=df["date"], go.Scatter(
y=df["apprentice_1"], x=df["date"],
mode='lines', y=df["apprentice_1"],
name='Apprentice I', mode="lines",
stackgroup='one', name="Apprentice I",
fillcolor='rgba(255, 107, 107, 0.8)', stackgroup="one",
line=dict(width=0.5, color='#ff6b6b') fillcolor="rgba(255, 107, 107, 0.8)",
)) line=dict(width=0.5, color="#ff6b6b"),
)
)
fig.add_trace(go.Scatter( fig.add_trace(
x=df["date"], go.Scatter(
y=df["apprentice_2"], x=df["date"],
mode='lines', y=df["apprentice_2"],
name='Apprentice II', mode="lines",
stackgroup='one', name="Apprentice II",
fillcolor='rgba(78, 205, 196, 0.8)', stackgroup="one",
line=dict(width=0.5, color='#4ecdc4') fillcolor="rgba(78, 205, 196, 0.8)",
)) line=dict(width=0.5, color="#4ecdc4"),
)
)
fig.add_trace(go.Scatter( fig.add_trace(
x=df["date"], go.Scatter(
y=df["apprentice_3"], x=df["date"],
mode='lines', y=df["apprentice_3"],
name='Apprentice III', mode="lines",
stackgroup='one', name="Apprentice III",
fillcolor='rgba(69, 183, 209, 0.8)', stackgroup="one",
line=dict(width=0.5, color='#45b7d1') fillcolor="rgba(69, 183, 209, 0.8)",
)) line=dict(width=0.5, color="#45b7d1"),
)
)
fig.add_trace(go.Scatter( fig.add_trace(
x=df["date"], go.Scatter(
y=df["apprentice_4"], x=df["date"],
mode='lines', y=df["apprentice_4"],
name='Apprentice IV', mode="lines",
stackgroup='one', name="Apprentice IV",
fillcolor='rgba(150, 206, 180, 0.8)', stackgroup="one",
line=dict(width=0.5, color='#96ceb4') fillcolor="rgba(150, 206, 180, 0.8)",
)) line=dict(width=0.5, color="#96ceb4"),
)
)
fig.update_layout( fig.update_layout(
title="Apprentice Stage Distribution Over Time", title="Apprentice Stage Distribution Over Time",
xaxis_title="Date", xaxis_title="Date",
yaxis_title="Number of Items", yaxis_title="Number of Items",
template="plotly_dark", template="plotly_dark",
plot_bgcolor='#151519', plot_bgcolor="#151519",
paper_bgcolor='#151519', paper_bgcolor="#151519",
width=1200, width=1200,
height=600, height=600,
margin=dict(l=50, r=50, t=50, b=50), margin=dict(l=50, r=50, t=50, b=50),
legend=dict( legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1
)
) )
# Show every 10th date label for better readability # Show every 10th date label for better readability
date_indices = list(range(0, len(df), 10)) date_indices = list(range(0, len(df), 10))
fig.update_xaxes( fig.update_xaxes(
tickmode='array', tickmode="array",
tickvals=[df.iloc[i]["date"] for i in date_indices], tickvals=[df.iloc[i]["date"] for i in date_indices],
ticktext=[df.iloc[i]["date"] for i in date_indices], ticktext=[df.iloc[i]["date"] for i in date_indices],
tickangle=45 tickangle=45,
) )
return fig.to_html(include_plotlyjs=True, div_id="apprentice_distribution") return fig.to_html(include_plotlyjs=True, div_id="apprentice_distribution")
@ -214,8 +218,12 @@ def get_apprentice_distribution_html(df):
def generate_standalone_html(df, output_path=None): def generate_standalone_html(df, output_path=None):
"""Generate a completely self-contained HTML file with all charts.""" """Generate a completely self-contained HTML file with all charts."""
# Generate all chart HTML # Generate all chart HTML
reviews_html = get_plotly_html(df, "num_reviews", "Daily Reviews", "Number of Reviews") reviews_html = get_plotly_html(
lessons_html = get_plotly_html(df, "num_lessons", "Daily Lessons", "Number of Lessons") df, "num_reviews", "Daily Reviews", "Number of Reviews"
)
lessons_html = get_plotly_html(
df, "num_lessons", "Daily Lessons", "Number of Lessons"
)
progression_html = get_plotly_html( progression_html = get_plotly_html(
df, "progression", "SRS Progression", "Progression (%)" df, "progression", "SRS Progression", "Progression (%)"
) )
@ -223,7 +231,9 @@ def generate_standalone_html(df, output_path=None):
srs_stage_apprentice_html = get_plotly_html( srs_stage_apprentice_html = get_plotly_html(
df, "apprentice", "Apprentice Stage", "Number of Subjects" df, "apprentice", "Apprentice Stage", "Number of Subjects"
) )
srs_stage_guru_html = get_plotly_html(df, "guru", "Guru Stage", "Number of Subjects") srs_stage_guru_html = get_plotly_html(
df, "guru", "Guru Stage", "Number of Subjects"
)
srs_stage_master_html = get_plotly_html( srs_stage_master_html = get_plotly_html(
df, "master", "Master Stage", "Number of Subjects" df, "master", "Master Stage", "Number of Subjects"
) )
@ -295,7 +305,7 @@ def generate_standalone_html(df, output_path=None):
# Save to file if output_path is provided # Save to file if output_path is provided
if output_path: if output_path:
with open(output_path, 'w', encoding='utf-8') as f: with open(output_path, "w", encoding="utf-8") as f:
f.write(html_content) f.write(html_content)
print(f"Standalone HTML dashboard saved to: {output_path}") print(f"Standalone HTML dashboard saved to: {output_path}")
@ -319,14 +329,20 @@ def download_dashboard():
html_content = generate_standalone_html(df) html_content = generate_standalone_html(df)
response = Response(html_content, content_type="text/html") response = Response(html_content, content_type="text/html")
response.headers["Content-Disposition"] = "attachment; filename=wanikani_dashboard.html" response.headers["Content-Disposition"] = (
"attachment; filename=wanikani_dashboard.html"
)
return response return response
def render_html(df): def render_html(df):
"""Render the DataFrame as HTML with interactive Plotly charts.""" """Render the DataFrame as HTML with interactive Plotly charts."""
reviews_html = get_plotly_html(df, "num_reviews", "Daily Reviews", "Number of Reviews") reviews_html = get_plotly_html(
lessons_html = get_plotly_html(df, "num_lessons", "Daily Lessons", "Number of Lessons") df, "num_reviews", "Daily Reviews", "Number of Reviews"
)
lessons_html = get_plotly_html(
df, "num_lessons", "Daily Lessons", "Number of Lessons"
)
progression_html = get_plotly_html( progression_html = get_plotly_html(
df, "progression", "SRS Progression", "Progression (%)" df, "progression", "SRS Progression", "Progression (%)"
) )
@ -338,7 +354,9 @@ def render_html(df):
srs_stage_apprentice_html = get_plotly_html( srs_stage_apprentice_html = get_plotly_html(
df, "apprentice", "Apprentice Stage", "Number of Subjects" df, "apprentice", "Apprentice Stage", "Number of Subjects"
) )
srs_stage_guru_html = get_plotly_html(df, "guru", "Guru Stage", "Number of Subjects") srs_stage_guru_html = get_plotly_html(
df, "guru", "Guru Stage", "Number of Subjects"
)
srs_stage_master_html = get_plotly_html( srs_stage_master_html = get_plotly_html(
df, "master", "Master Stage", "Number of Subjects" df, "master", "Master Stage", "Number of Subjects"
) )
@ -444,7 +462,9 @@ if __name__ == "__main__":
generate_standalone_html(df, output_file) generate_standalone_html(df, output_file)
print(f"✅ Standalone HTML dashboard generated: {output_file}") print(f"✅ Standalone HTML dashboard generated: {output_file}")
print("📊 You can now open this file in any web browser to view your interactive WaniKani stats!") print(
"📊 You can now open this file in any web browser to view your interactive WaniKani stats!"
)
else: else:
# Start Flask server # Start Flask server