JetBrains-Research / JetBrains-Research/Python-Solution-Preference

[020] Slack-like Team Chat (MVP)

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Description

## Overview

Team chat with 5 fixed users from `assets/users.csv` (columns: `username`, `display_name`, `password`). Login required; invalid credentials rejected.

Build this as a Python backend service with no UI; expose the functionality below through an HTTP API.

## Features

### #general Channel
- Single public channel visible to all users
- Messages returned chronologically (oldest first, newest last)

### Direct Messages (DMs)
- 1:1 private conversations between any two users
- Start DM via user search (case-insensitive partial match on username or display_name, excludes self)
- One DM thread per user pair; selecting same user reopens existing conversation
- A user's DM conversations can be listed alongside `#general`

### Messaging (both #general and DMs)
- Text messages only; whitespace-only rejected, max 2000 characters
- Messages immutable (no edit/delete)

### Search
- Global search across `#general` and the user's own DMs (not others' private DMs)
- Case-insensitive partial text match, results newest-first
- Each result identifies the conversation it belongs to

## Out of Scope
Multiple channels, group DMs, file uploads, reactions, threads, typing indicators

---
**Provided starting files:** see [`020-team-chat/assets/`](https://github.com/JetBrains-Research/Python-Solution-Preference/tree/main/020-team-chat/assets) — these were in the agent's working directory when it solved the task.

Guide de contribution

Aucun guide de contribution indexé pour ce dépôt

Piste de recherche

Start by reading the provided files in 020-team-chat/assets/, especially assets/users.csv and its username, display_name, and password columns. Define the HTTP API around login, #general, one-to-one DMs, messaging, user search, conversation listing, and global search. Done means invalid credentials and invalid messages are rejected, private results stay scoped to the user, and all stated ordering and out-of-scope rules are met.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Évaluation

Stack technique
python
Domaine
api, backend
Type d'issue
Fonctionnalité
Difficulté
5/5
Temps estimé
Plus d'une semaine
Activité
Calme
Clarté
Plutôt claire
Accessibilité débutants
35/100

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