add histogram plotting of scores

.gitignore

@@ -163,3 +163,4 @@ cython_debug/
 config.json
 data.db
 posts/
+plots/

main.py

@@ -10,6 +10,10 @@ import asyncio
 import aiosqlite
 import base64
 import logging
+import pandas as pd
+import plotly.express as px
+import plotly.graph_objs as go
+import plotly.io as pio
 from collections import defaultdict, Counter
 from pathlib import Path
 from urllib.parse import urlparse
@@ -404,6 +408,63 @@ async def scores(ctx):
             print("]")
         print("most incorrect tags", incorrect_tags_counters[model].most_common(5))
 
+    PLOTS = Path.cwd() / "plots"
+    PLOTS.mkdir(exist_ok=True)
+
+    data_for_df = {}
+    data_for_df["scores"] = []
+    data_for_df["model"] = []
+
+    for model in sorted(
+        normalized_scores.keys(),
+        key=lambda model: normalized_scores[model],
+        reverse=True,
+    ):
+        for post_score in (d["score"] for d in model_scores[model].values()):
+            data_for_df["scores"].append(post_score)
+            data_for_df["model"].append(model)
+
+    df = pd.DataFrame(data_for_df)
+    fig = px.histogram(
+        df,
+        x="scores",
+        color="model",
+        histfunc="count",
+        marginal="rug",
+        histnorm="probability",
+    )
+    pio.write_image(fig, PLOTS / "score_histogram.png", width=1024, height=800)
+
+    plot2(PLOTS / "positive_score_histogram.png", normalized_scores, model_scores)
+
+
+def plot2(output_path, normalized_scores, model_scores):
+    data_for_df = {}
+    data_for_df["scores"] = []
+    data_for_df["model"] = []
+
+    for model in sorted(
+        normalized_scores.keys(),
+        key=lambda model: normalized_scores[model],
+        reverse=True,
+    ):
+        for post_score in (d["score"] for d in model_scores[model].values()):
+            if post_score < 0:
+                continue
+            data_for_df["scores"].append(post_score)
+            data_for_df["model"].append(model)
+
+    df = pd.DataFrame(data_for_df)
+    fig = px.histogram(
+        df,
+        x="scores",
+        color="model",
+        histfunc="count",
+        marginal="rug",
+        histnorm="probability",
+    )
+    pio.write_image(fig, output_path, width=1024, height=800)
+
 
 async def realmain(ctx):
     await ctx.db.executescript(

requirements.txt

@@ -1,3 +1,8 @@
 aiosqlite==0.19.0
 aiohttp==3.8.4
-aiolimiter==1.1.0
+aiolimiter>1.1.0<2.0
+
+
+plotly>5.15.0<6.0
+pandas==2.0.2
+kaleido==0.2.1