- Documented git submodule architecture - Explained Drone CI/CD and tag-based versioning - Updated message flow to include TextSubscriptionUpdated events - Clarified text-matcher's role in storing match history 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
99 lines
3.5 KiB
Markdown
99 lines
3.5 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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This is a microservices-based Telegram bot system for text monitoring and notifications. The system consists of 4 main services that communicate via RabbitMQ:
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- **telegram-listener**: Scans open Telegram channels and chats for messages
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- **telegram-client**: Bot interface for user interactions
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- **text-matcher**: Matches incoming messages against user subscriptions
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- **users**: Manages users and their preferences
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**Important:** This repository is the parent project containing all services as **git submodules**. Each service (telegram-listener, telegram-client, text-matcher, users) is a separate repository added as a submodule. Git tags are created at the parent repository level, which triggers the Drone CI/CD pipeline to automatically build and publish NuGet packages with versions based on the git tag.
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## Architecture
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The services follow a message bus pattern using RabbitMQ for async communication:
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- TelegramListener publishes MessageReceived events
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- TextMatcher subscribes to MessageReceived, stores match history in database, and publishes:
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- TextSubscriptionMatched events (for first-time matches)
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- TextSubscriptionUpdated events (for updates to previously matched messages)
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- TelegramClient subscribes to both TextSubscriptionMatched and TextSubscriptionUpdated events and notifies users
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Each service follows Clean Architecture with separate projects for:
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- Host (API/entry point)
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- AppServices (business logic)
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- Core (shared utilities)
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- Api.Contracts (REST API contracts)
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- Async.Api.Contracts (event contracts)
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- Persistence (database layer, where applicable)
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- Migrator (database migrations, where applicable)
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## Development Commands
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### Running the System
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```bash
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# Start all services with Docker Compose
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docker-compose up
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# Start individual services for development
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cd telegram-client && dotnet run --project src/Nocr.TelegramClient.Host
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cd telegram-listener && dotnet run --project src/Nocr.TelegramListener.Host
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cd text-matcher && dotnet run --project src/Nocr.TextMatcher.Host
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cd users && dotnet run --project src/Nocr.Users.Host
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```
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### Building
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```bash
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# Build individual services
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cd <service-name> && dotnet build
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# Build specific projects
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dotnet build src/Nocr.<ServiceName>.Host
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```
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### Testing
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```bash
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# Run unit tests (only text-matcher has tests currently)
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cd text-matcher && dotnet test
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```
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### Database Migrations
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For text-matcher and users services:
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```bash
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# Add new migration (from service root directory)
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cd text-matcher && ./src/Nocr.TextMatcher.Migrator/AddMigration.sh MyMigrationName
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cd users && ./src/Nocr.Users.Migrator/AddMigration.sh MyMigrationName
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# Apply migrations (handled automatically by migrator containers in docker-compose)
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```
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## Configuration
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Services use layered appsettings configuration:
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- `appsettings.json` - base settings
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- `appsettings.Development.json` - local development
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- `appsettings.DockerCompose.json` - Docker Compose environment
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- `appsettings.protected.json` - sensitive settings (not in repo)
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## Service Ports
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When running with docker-compose:
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- telegram-client: 4999
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- telegram-listener: 5000
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- text-matcher: 5001
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- users: 4998
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- RabbitMQ: 5672 (AMQP), 15672 (Management UI)
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- MariaDB: 3316 (text-matcher), 3326 (users)
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## Key Technologies
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- .NET 8
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- ASP.NET Core Web APIs
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- Entity Framework Core with MariaDB
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- WTelegramClient for Telegram API
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- Rebus for message bus (RabbitMQ)
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- Docker & Docker Compose for containerization |