thinkalittlelonger

• apply the structure of the first element to the others: highlight takes an array of letters, validation is an unquoted function, examples is a list of words. { round: 1, title: "starts with HI", highlight: ["H", "I"], validation: str => /^hi.*/.test(str.toLowerCase()), unselectable_keys: [], examples: ["hit", "hint", "hill",] },
• make this array exportable.
• import the rounds array in the App component to use for the rounds of the game.
• leverage the other features of the rounds data:
  • the examples should be between the prompt and the currentGuess
  • in the currentGuess, on the keyboard, and in the displayex examples, the letters in round.highlight should be visually distinct from the the other letters.
  • the submit button should only be clickable if validation returns true.
  • make the unselectable keys unselectable. With keyboard input, typing an unselectable letter doesn't do anything

Help me begin to build out the postGame view:

• during the game, record the list of words the player submitted.
• upon submitting the final guess, send that data to the backend.
  • we will validate that submissions are actual words on the backend. Skip the actual validation for now. instead use a stub that says every submission has a 75% change of being valid. Do this on the backend.
  • the postGame state should present a table of the results, that lists each word.
    • if it the word is valid, list the number of letters in it.
    • visually indicate valid and invalid words using versions of red and green that are discernible for standard colorblindness.
    • the last line of the table should a "total" that sums up the letters in all valid words.

help me devise a good strategy for validation. Currently, I have a list of valid words in a table format.

• create a database initialization script that loads the csv into sql.

• update the project readme with instructions to run the this initialization (so the project is easy to remix)

• update the validation logic build earlier in the conversation.

• below the first few lines of the csv.

• A version currently lives at https://gist.githubusercontent.com/a-lexwein/e3e6a0817c71d57c063c238f519f8b45/raw/9a06a1e2f5e4c479bb653ff39dbb65f77cd60cff/thinkOfWords.csv

id,rule,word,n_letters
1,starts with HI,histocompatibilities,20
1,starts with HI,histopathologically,19
1,starts with HI,historiographically,19
1,starts with HI,histocompatibility,18

don't suggest code changes yet, instead, build out a strategy in markdown that I can freshly prompt townie with.

Put that prompt immediately below here in this file todo.md:

This is a word game where players must think of the biggest word that fits a given constraint (e.g., "starts with HI"). We need to validate that submitted words are real English words AND that they satisfy the round's constraint.

A CSV file containing valid words for each round is available at: https://gist.githubusercontent.com/a-lexwein/e3e6a0817c71d57c063c238f519f8b45/raw/9a06a1e2f5e4c479bb653ff39dbb65f77cd60cff/thinkOfWords.csv

The CSV format is:

id,rule,word,n_letters
1,starts with HI,histocompatibilities,20
1,starts with HI,histopathologically,19
...

Where id corresponds to the round number and rule describes the constraint.

Create a new file scripts/initDb.ts that:

• Fetches the CSV from the gist URL above
• Parses the CSV data
• Creates a SQLite table called valid_words with columns:
  • id (INTEGER) - the round number
  • rule (TEXT) - the constraint description
  • word (TEXT) - the valid word (lowercase)
  • n_letters (INTEGER) - word length
• Creates an index on (id, word) for fast lookups
• Inserts all rows from the CSV
• This script should be idempotent (safe to run multiple times - drop and recreate table)

Use Val Town's SQLite: import { sqlite } from "https://esm.town/v/std/sqlite";

Add a "Setup" or "Database Initialization" section that explains:

• The game requires a word database to validate submissions
• How to run the initialization script (visit the script's endpoint or run it manually)
• Note that this only needs to be done once, or when the word list is updated

Modify the /api/validate endpoint in index.ts to:

• Accept submissions in format { submissions: [{ round: number, word: string }] }
• For each submission, query the valid_words table to check if the word exists for that round
• Query: SELECT 1 FROM valid_words WHERE id = ? AND word = ? (lowercase the word before querying)
• Return { results: [{ round, word, isValid: boolean }] }

index.ts              # Main HTTP handler with /api/validate endpoint
scripts/
  initDb.ts           # Database initialization script (HTTP type so it can be triggered)
README.md             # Updated with setup instructions
frontend/             # (no changes needed)

• The valid_words table pre-validates words against round constraints, so we only need to check if the (round, word) pair exists
• Words should be compared case-insensitively (store and query in lowercase)
• The init script should be an HTTP val so it can be easily triggered via browser or curl
• Keep the init script simple - just fetch, parse, and insert