epl_python/docs/SESSION_HISTORY.md

Session history (Oct 25, 2025)

This document captures the key decisions, features added, and workflows established in the current development session so that future runs have quick context.

Highlights

• Added a new plot: daily_volume_and_sentiment.png showing bars for total volume (posts+replies) and lines for positive% and negative% per day.
• Improved daily activity chart with in-plot match labels (team abbreviations), density controls, and dynamic width/height.
• Implemented matchday sentiment rollups and plots: matchday_sentiment_overall.csv/.png, matchday_posts_volume_vs_sentiment.png.
• Integrated multiple sentiment backends:
  • VADER (default)
  • Transformers (local model at models/sentiment-distilbert)
  • Local GPT via Ollama (JSON {label, confidence} mapped to compound) with graceful fallback to VADER
• Labeled data workflow:
  • src/apply_labels.py merges labels back into posts/replies as sentiment_label
  • Analyzer reuses sentiment_label when present
  • src/plot_labeled.py provides QA plots
• Convenience: created run_all alias to run from scratch (scrape → replies → fixtures → analyze) non-interactively.

Key files and outputs

• Code
  • src/analyze_csv.py — analyzer with plots and matchday integration (now with module docstring)
  • src/gpt_sentiment.py, src/transformer_sentiment.py, src/auto_label_sentiment.py, src/apply_labels.py, src/plot_labeled.py
  • scripts/aliases.zsh — includes run_all, apply_labels_and_analyze, and more
• Outputs (examples)
  • data/daily_activity_stacked.png
  • data/daily_volume_and_sentiment.png
  • data/posts_heatmap_hour_dow.png
  • data/sentiment_by_tag_posts.png
  • data/matchday_sentiment_overall.csv/.png
  • data/matchday_posts_volume_vs_sentiment.png

Important flags (analyze)

• Sizing: --plot-width-scale, --plot-max-width, --plot-height
• Labels: --activity-top-n, --labels-max-per-day, --labels-per-line, --labels-stagger-rows, --labels-band-y, --labels-annotate-mode
• Sentiment backends: --sentiment-backend vader|transformers|gpt, plus --transformers-model or --gpt-model/--gpt-base-url
• Emoji: --emoji-mode keep|demojize|strip and --emoji-boost

Aliases summary

• run_all [CH] [START] [END] [POSTS] [REPLIES] [FIXTURES] [TAGS] [SESS_SCRAPE] [SESS_REPLIES] [CONC] [BACKEND] [MODEL] [GPT_MODEL] [GPT_URL]
  • Full pipeline non-interactive, defaults set in scripts/aliases.zsh
• apply_labels_and_analyze [LABELED_CSV] [POSTS_IN] [REPLIES_IN] [POSTS_OUT] [REPLIES_OUT]
• analyze_transformers, analyze_emoji, analyze_combined, fast_replies, chunked_forwards, plot_labeled

Old vs New outputs

• We maintain side-by-side outputs under data/old and data/new when running legacy vs labeled pipelines.

Next ideas

• Per-club matchday sentiment breakdowns (fixture-level small multiples)
• Side-by-side montage generation for old vs new plots