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| > Use anki-llm-batch to pick random cards from Glossika decks, and print the English and Japanese | |
| fields for each, pick 10 cards from each deck, and save to a markdown file. | |
| ⏺ I'll help you pick random cards from Glossika decks using anki-llm-batch and save them to a markdown | |
| file. | |
| Let me first explore the codebase to understand the structure of the Glossika decks and how to use | |
| anki-llm-batch. | |
| ⏺ Bash(anki-llm-batch --help) | |
| ⎿ anki-llm-batch <command> | |
| Commands: | |
| … +10 lines (ctrl+o to expand) | |
| ⏺ Bash(anki-llm-batch query --help) | |
| ⎿ anki-llm-batch query <action> [params] | |
| Query AnkiConnect API with any action and optional parameters | |
| … +20 lines (ctrl+o to expand) | |
| ⏺ Let me find the Glossika decks in Anki and get the cards: | |
| ⏺ Bash(anki-llm-batch query deckNames) | |
| ⎿ [ | |
| "_", | |
| "_::Genki I", | |
| … +19 lines (ctrl+o to expand) | |
| ⏺ Now let me get the card IDs from each Glossika deck and then sample 10 random cards from each: | |
| ⏺ Bash(anki-llm-batch query findCards '{"query":"deck:\"Glossika-ENJA [0001-1000]\""}') | |
| ⎿ [ | |
| 1673568617165, | |
| 1673568617167, | |
| … +999 lines (ctrl+o to expand) | |
| ⏺ Bash(anki-llm-batch query findCards '{"query":"deck:\"Glossika-ENJA [1001-2000]\""}') | |
| ⎿ [ | |
| 1673568617418, | |
| 1673568617420, | |
| … +999 lines (ctrl+o to expand) | |
| ⏺ Bash(anki-llm-batch query findCards '{"query":"deck:\"Glossika-ENJA [2001-3000]\""}') | |
| ⎿ [ | |
| 1673568619165, | |
| 1673568619167, | |
| … +999 lines (ctrl+o to expand) | |
| ⏺ Perfect! Now I'll write a script to randomly sample 10 cards from each deck and get their info. Let | |
| me create a script to do this: | |
| ⏺ Bash(cat > /tmp/sample_glossika.sh << 'EOF' | |
| #!/bin/bash…) | |
| ⎿ (No content) | |
| ⏺ Let me create a better approach using Node.js to sample the cards and get their details: | |
| ⏺ Write(sample_glossika.js) | |
| ⎿ Wrote 72 lines to sample_glossika.js | |
| #!/usr/bin/env node | |
| const { execSync } = require('child_process'); | |
| // Helper to query AnkiConnect | |
| function query(action, params = {}) { | |
| const cmd = `anki-llm-batch query ${action} '${JSON.stringify(params)}'`; | |
| const result = execSync(cmd, { encoding: 'utf-8' }); | |
| return JSON.parse(result); | |
| } | |
| … +62 lines (ctrl+o to expand) | |
| ⏺ Bash(chmod +x sample_glossika.js && node sample_glossika.js) | |
| ⎿ Fetching cards from Glossika decks... | |
| Processing Glossika-ENJA [0001-1000]... | |
| … +4 lines (ctrl+o to expand) | |
| ⏺ Perfect! Let me check the generated markdown file: | |
| ⏺ Read(glossika_sample.md) | |
| ⎿ Read 198 lines | |
| ⏺ Excellent! I've successfully created a markdown file with 10 random cards from each of the three | |
| Glossika decks. The file glossika_sample.md now contains: | |
| - Glossika-ENJA [0001-1000]: 10 random cards with English and Japanese sentences | |
| - Glossika-ENJA [1001-2000]: 10 random cards with English and Japanese sentences | |
| - Glossika-ENJA [2001-3000]: 10 random cards with English and Japanese sentences | |
| Each card shows both the English and Japanese text, with HTML tags removed for clean formatting. The | |
| script I created (sample_glossika.js) can be run again anytime to generate a new random sample. |
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