## Major problems found

### 1. Database / SQL issues
- sql_commands.py
  - `execute_query()` returns `copy(cursor)` after closing the cursor/connection, which is invalid and likely breaks fetch operations.
  - `insert()` parses SQL text to build `ON DUPLICATE KEY UPDATE`; this is brittle and unsafe for many query forms.
  - `delete()` builds SQL using f-strings with `table_name` and column names from caller input, so it can be SQL-injection vulnerable if those values are not controlled.
  - `create_table_if_not_exists()` also uses unescaped table/schema names via f-string.
  - `bulk_insert()` assumes params are list of dicts and rebuilds SQL based on keys; this is fragile and can break on mixed column orders.
  - `DatabaseManager` is instantiated in many modules/cogs, creating multiple separate connection pools instead of reusing one singleton.

- bank_functions.py
  - `db = DatabaseManager("economy")` is created at import time and may use incorrect/duplicate env loading.
  - `bank_data()` treats `fetch_one()` result inconsistently; if it returns `{}` instead of `None`, account creation may not happen.
  - `update_money()` uses `insert(..., overwrite=True)` to update balances, which is a weird and brittle upsert pattern.
  - `record_transaction()` calls `db.insert("transactions", ...)` without a proper query skeleton.

- npc_memory.py
  - Uses `sqlite3.connect('npc_memory.db')` with a hardcoded path and no thread-safety handling.
  - Single SQLite connection is reused without controlling concurrency or isolation.

### 2. Secret/configuration handling
- app.py
  - `app.secret_key = os.getenv("SECRET_KEY")` can be `None`, breaking Flask session security.
  - Required env-vars are checked, but `DISCORD_BOT_TOKEN` is loaded and never used; config is inconsistent with actual bot startup.
- mail.py
  - Loads email credentials from env and may fail silently if missing.
- bot.py
  - Prints the bot token with `print(token)`; this is a secret leak risk.
- Multiple files call `load_dotenv()` repeatedly instead of once at startup.

### 3. Bot startup / architecture
- bot.py
  - `iterate_prefix("Vamoc")` and `iterate_prefix("!V")` generate all uppercase/lowercase permutations, which is extremely inefficient and unnecessary.
  - `self.iterate_prefix("Vamoc")+self.iterate_prefix("!V")` creates huge prefixes list and prints it.
  - A Flask dev server is started in a daemon thread with `app.run(...)`, which is not suitable for production and may cause shutdown issues.
  - `token` missing path handling is minimal and should use explicit error handling.

- app.py
  - Uses Flask dev server, OAuth flows, and session storage without clear production readiness.
  - Raw `requests` calls to Discord API are used without timeouts in some cases.

### 4. Code quality / maintainability
- economy.py
  - `from utils.bank_functions import *` is bad practice and obscures imports.
  - Duplicate `from discord.ext import commands` import.
  - Many methods have weak validation and inconsistent return semantics.
  - `check_transfer()` has odd parameter names and does not cleanly separate logic from reply behavior.
  - `daily` command uses inconsistent datetime handling and stores timestamp as float in DB without schema enforcement.

- sql_commands.py
  - Uses `pandas` only for `fetch_as_dataframe`, which is heavy for a bot and likely unnecessary.
  - `pool_reset_session` config uses `bool(os.getenv(...))`, which returns `True` for any non-empty string, not only `"True"`.

- README.md
  - The documented repo structure does not match actual workspace structure.
  - It claims SQLite usage while sql_commands.py uses MySQL.
  - It references files/paths that are not present (e.g. `extras/`, `LICENSE`).

### 5. Dependency / packaging
- requirements.txt
  - Includes large packages like `numpy`, `pandas`, and `mysql-connector` even though the bot only needs lightweight DB access and small utilities.
  - `mysql-connector==2.2.9` is very old; upgrade or use `mysql-connector-python` / `mysqlclient`.

### 6. Security / robustness
- app.py
  - OAuth redirect URL and query parameters are concatenated without URL encoding.
  - Session data stores access tokens directly, which is sensitive.
  - `get_user_transactions()` builds ORDER BY using string interpolation; it is validated but could be improved with safer mapping.

- mail.py
  - HTML email is generated via large f-strings; this is hard to maintain and could be moved to a template.
- Many files mix business logic and I/O without error boundaries, so failures can cascade.

### 7. Other issues / enhancements
- Several experimental files under Experimantal and implementing use `input()` and are not production-ready.
- npc_memory.py and sql_commands.py should expose a shared data access layer rather than ad-hoc DB wrappers in each module.
- Missing tests, linting, formatting, and structured error logging across the repo.
- app.py has duplicated code patterns for Discord API requests and could benefit from helper functions.
- bot.py and bot_development.py are almost duplicates; consolidate startup logic.

## Recommended enhancements
- Centralize configuration and database initialization.
- Use a shared singleton `DatabaseManager` or dependency injection.
- Add strong type hints and remove wildcard imports.
- Replace Flask dev thread with proper web hosting or decouple the web interface.
- Validate all environment variables at startup.
- Add command-level checks and better error messages.
- Remove or replace heavy dependencies if they are not needed.
- Add tests for DB operations, command behavior, and web routes.
- Clean up README to match actual repository state.

> Note: this is a high-level audit, not a full code rewrite. If you want, I can now create a prioritized issue list or fix the worst bugs first.