build(compose): use canonical compose files

README.md

@@ -37,20 +37,20 @@ a managed MongoDB Atlas cluster, so a reachable `MONGODB_URI` is required to
 start. The development and production setups share one cluster and differ only
 by database name (`MONGODB_DATABASE`).
 
-Development runtime (targets the `openai_status_bot_dev` database):
-
-```bash
-cp .env.example .env
-# edit .env and set TELEGRAM_BOT_TOKEN and MONGODB_URI (Atlas connection string)
-docker compose up --build
-```
-
-Production runtime (uses the `MONGODB_DATABASE` from `.env`, default `openai_status_bot`):
+Production runtime (default Compose file; uses the `MONGODB_DATABASE` from `.env`, default `openai_status_bot`):
 
 ```bash
 cp .env.example .env
 # edit .env and set TELEGRAM_BOT_TOKEN, MONGODB_URI, and MONGODB_DATABASE
-docker compose -f docker-compose.bot.yml up -d --build
+docker compose up -d --build
+```
+
+Development runtime (targets the `development` database):
+
+```bash
+cp .env.example .env
+# edit .env and set TELEGRAM_BOT_TOKEN and MONGODB_URI (Atlas connection string)
+docker compose -f compose.dev.yaml up --build
 ```
 
 For local development without Docker:
@@ -66,7 +66,7 @@ go run ./cmd/openai-status-bot
 |----------|---------|-------------|
 | `TELEGRAM_BOT_TOKEN` | required | Telegram bot token from BotFather |
 | `MONGODB_URI` | required | MongoDB connection string, e.g. an Atlas `mongodb+srv://user:pass@cluster/` URI |
-| `MONGODB_DATABASE` | `openai_status_bot` | Database name; use a separate name (e.g. `openai_status_bot_dev`) to split dev and prod on one cluster |
+| `MONGODB_DATABASE` | `openai_status_bot` | Database name; use a separate name (e.g. `development`) to split dev and prod on one cluster |
 | `POLL_INTERVAL` | `1m` | Status check interval, valid `5s`-`1h` |
 | `HTTP_TIMEOUT` | `10s` | HTTP request timeout, valid `1s`-`5m` |
 | `LOG_LEVEL` | `info` | `debug`, `info`, `warn`/`warning`, or `error` |

compose.dev.yaml

@@ -7,5 +7,5 @@ services:
     env_file:
       - .env
     environment:
-      MONGODB_DATABASE: openai_status_bot_dev
+      MONGODB_DATABASE: development
     restart: unless-stopped

compose.yaml

@@ -1,4 +1,4 @@
-# Production runtime: bot only, connecting to the shared Atlas cluster via .env.
+# Default production runtime: bot only, connecting to the shared Atlas cluster via .env.
 # Uses the production database (MONGODB_DATABASE in .env, default
 # openai_status_bot). There is no local datastore.
 services:

docs/setup-guide.md

@@ -6,19 +6,19 @@
 - MongoDB Atlas cluster (managed, no local MongoDB service required)
 - Telegram bot token from BotFather
 
-## Local Docker Run
+## Development Docker Run
 
 ```bash
 cp .env.example .env
 # set TELEGRAM_BOT_TOKEN in .env
 # set MONGODB_URI to your MongoDB Atlas connection string
-# docker compose sets MONGODB_DATABASE=openai_status_bot_dev for local development
-docker compose up --build
+# docker compose sets MONGODB_DATABASE=development for local development
+docker compose -f compose.dev.yaml up --build
 ```
 
 The Docker Compose service connects to MongoDB Atlas; there is no bundled local MongoDB. Ensure `MONGODB_URI` is set in `.env`.
 
-## Bot-Only Docker Run
+## Production Docker Run
 
 Use this for production deployment:
 
@@ -27,7 +27,7 @@ cp .env.example .env
 # set TELEGRAM_BOT_TOKEN in .env
 # set MONGODB_URI to your MongoDB Atlas connection string
 # MONGODB_DATABASE defaults to openai_status_bot (production)
-docker compose -f docker-compose.bot.yml up -d --build
+docker compose up -d --build
 ```
 
 ## Local Go Run