testsAndMisc/linux_configuration/scripts/single_use/utils/generate_study_materials.sh
Krzysztof kuhy Rudnicki 241652cade generate_study_materials: split into lib/ under the 250-line cap
1017 lines down to 148. Six libs: the per-language doc-URL builders (split in
two only for the cap), the lookup/dispatch layer, and one per generation phase.

The hard part was not the ten functions but the 335-line top-level block,
which extract_shell_functions.py cannot move because it only relocates
functions. It is now generate_doc_links / generate_anki_cards /
generate_llm_prompt, wrapped WITHOUT re-indenting the bodies: five heredocs
use quoted terminators, which must stay at column 0.

Proof the split is behaviour-preserving: a golden fixture captured before any
edit, re-checked after every step. All three outputs -- anki_cards.txt,
documentation_links.md, llm_anki_prompt.md -- stay byte-identical by sha256sum,
and stdout matches too.

Four latent defects surfaced while writing the tests, all fixed:

  python_doc_url required a $2 it never reads, and get_doc_url has always
  called it with one argument. That only worked because the entry script runs
  `set -e` without `-u`, so "$2" silently expanded to empty; any caller with
  `set -u` aborted. Defaulted, along with three more positionals documented as
  optional but declared required.

  The two imports loops hardcoded `head -20` while the other seven honoured
  TOP_N, so --top was silently ignored for imports.

  Only one of nine term loops skipped comment lines, so a '#' line in an
  analysis file became a flashcard whose front was a comment.

  Introduced and fixed within this change: the comment filter has to run
  BEFORE `head -n` or comment lines count against the limit, and it needs
  `|| true`, since grep exits 1 when it filters every line and the callers run
  under `set -e`.

The golden fixture cannot show the last three, because it has no comments and
fewer than 20 imports -- which is exactly why they survived. A second fixture
with 25 imports and comment lines, at --top 3, emitted 20 imports and two
comment cards before, and 3 imports with zero leakage after.

166 assertions across 4 test files. 100% line coverage on study_doc_urls.sh
(38/38), study_doc_urls_more.sh (30/30), study_doc_lookup.sh (49/49) and
study_gen_llm.sh (54/54). study_gen_docs.sh 93.10% and study_gen_anki.sh
96.15%, where every remaining line is a `} >>"$FILE"` closing a brace group
whose output a passing test asserts -- the same kcov attribution artifact
recorded for services_hosts.sh.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01F3PzGc75gBcdxP3PkHXGcV
2026-08-21 14:32:08 +02:00

135 lines
4.8 KiB
Bash
Executable File

#!/bin/bash
# Generate study materials (documentation links + Anki cards) from repo analysis
# Usage: ./generate_study_materials.sh <results_dir> [--top N] [--languages "python,c,js"]
#
# Examples:
# ./generate_study_materials.sh /tmp/repo_analysis/results_myproject
# ./generate_study_materials.sh /tmp/repo_analysis/results_linux --top 20 --languages "c"
# ./generate_study_materials.sh ./results --languages "python,typescript"
set -e
# Each generation phase and each family of doc-URL builders lives in a lib
# beside this file; this script keeps the configuration, the argument
# parsing and the order the phases run in.
LIB_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)/lib"
# shellcheck source=lib/study_doc_urls.sh
. "$LIB_DIR/study_doc_urls.sh"
# shellcheck source=lib/study_doc_urls_more.sh
. "$LIB_DIR/study_doc_urls_more.sh"
# shellcheck source=lib/study_doc_lookup.sh
. "$LIB_DIR/study_doc_lookup.sh"
# shellcheck source=lib/study_gen_docs.sh
. "$LIB_DIR/study_gen_docs.sh"
# shellcheck source=lib/study_gen_anki.sh
. "$LIB_DIR/study_gen_anki.sh"
# shellcheck source=lib/study_gen_llm.sh
. "$LIB_DIR/study_gen_llm.sh"
#==============================================================================
# Configuration
#==============================================================================
RESULTS_DIR="${1:-.}"
TOP_N=30
LANGUAGES="auto" # Will detect from results
# Parse arguments
shift || true
while [[ $# -gt 0 ]]; do
case "$1" in
--top)
TOP_N="$2"
shift 2
;;
--languages)
LANGUAGES="$2"
shift 2
;;
*)
shift
;;
esac
done
# Output files
DOCS_FILE="$RESULTS_DIR/documentation_links.md"
ANKI_FILE="$RESULTS_DIR/anki_cards.txt"
LLM_PROMPT_FILE="$RESULTS_DIR/llm_anki_prompt.md"
# Offline documentation setup
OFFLINE_DOCS_DIR="${OFFLINE_DOCS_DIR:-$HOME/.local/share/offline-docs}"
LOOKUP_SCRIPT="$(dirname "$0")/lookup_docs.sh"
USE_OFFLINE_DOCS=false
# Check if offline docs are available
if [ -d "$OFFLINE_DOCS_DIR" ] && [ -x "$LOOKUP_SCRIPT" ]; then
USE_OFFLINE_DOCS=true
fi
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
BLUE='\033[0;34m'
YELLOW='\033[1;33m'
NC='\033[0m'
#==============================================================================
# Documentation URL Generators (online fallback)
#==============================================================================
#==============================================================================
# Main Processing
#==============================================================================
# Check if results directory exists
if [ ! -d "$RESULTS_DIR" ]; then
echo -e "${RED}Error: Results directory not found: $RESULTS_DIR${NC}"
echo "Run analyze_repo.sh first to generate analysis results."
exit 1
fi
# Detect or use specified language
if [ "$LANGUAGES" = "auto" ]; then
PRIMARY_LANG=$(detect_language)
echo -e "${BLUE}Detected primary language: ${GREEN}$PRIMARY_LANG${NC}"
else
PRIMARY_LANG=$(echo "$LANGUAGES" | cut -d',' -f1)
echo -e "${BLUE}Using specified language: ${GREEN}$PRIMARY_LANG${NC}"
fi
echo ""
echo -e "${BLUE}════════════════════════════════════════════════════════════${NC}"
echo -e "${GREEN} Generating Study Materials${NC}"
echo -e "${BLUE}════════════════════════════════════════════════════════════${NC}"
echo ""
# Patch for generate_study_materials.sh - use per-language files
# The three generation phases, in the order their outputs reference each
# other. Defined above and called here so the file can be split into libs.
generate_doc_links
generate_anki_cards
generate_llm_prompt
#==============================================================================
# Summary
#==============================================================================
echo ""
echo -e "${BLUE}════════════════════════════════════════════════════════════${NC}"
echo -e "${GREEN} Study Materials Generated!${NC}"
echo -e "${BLUE}════════════════════════════════════════════════════════════${NC}"
echo ""
echo "Files created:"
echo " 📚 Documentation Links: $DOCS_FILE"
echo " 🎴 Anki Cards: $ANKI_FILE"
echo " 🤖 LLM Prompt: $LLM_PROMPT_FILE"
echo ""
echo "Next steps:"
echo " 1. Review documentation_links.md for learning resources"
echo " 2. Import anki_cards.txt into Anki (File -> Import)"
echo " 3. Use llm_anki_prompt.md with ChatGPT/Claude to generate more cards"
echo ""
echo "Anki import settings:"
echo " - Field separator: Tab"
echo " - Allow HTML: Yes"
echo " - Tags are in last field: Yes"