rlcard-showdown/docs/leaderboard_api.md

78 lines
7.8 KiB
Markdown
Raw Normal View History

2020-12-07 01:21:49 +08:00
# API Documentation
## Changing the Configuration of Frontend
The default configuration for backend server URL is [http://127.0.0.1:8000/](http://127.0.0.1:8000/), you can also change it in `/src/utils/config.js`.
You will see blank tables on the frontend if you haven't started the backend Django server, or the backend server URL is configured incorrectly.
## REST API of Backend
The definitions of the fields are as follows:
* `eval_num`: Integer. The number of evaluation times.
* `name`: String. The name of the environment.
* `agent0`: String. Model name.
* `agent1`: String. Model name.
* `win`: Boolean. True if model in the first seat wins.
* `payoff`: Float. The payoff of the agent in the first seat.
* `index`: Integer. The index of the game of the same environent and same agent. It is in the range \[0, eval_num-1\]
2020-12-12 02:29:18 +08:00
| type | Resource | Parameters | Description |
2021-05-27 23:18:30 +08:00
|------|-------------------------------------|-------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|
| GET | tournament/launch | `num_eval_games`, `name` | Launch tournment on the game. Each pair of models will play `num_eval_games` times. Results will be saved in database. |
| GET | tournament/query\_game | `name`, `index`, `agent0`, `agent1`, `win`, `payoff`, `elements_every_page`, `page_index` | Query the games with the given parameters |
| GET | tournament/query\_payoff | `name`, `agent0`, `agent1`, `payoff` | Query the payoffs with the given parameters |
| GET | tournament/query\_agent\_payoff | `name`, `elements_every_page`, `page_index`, | Query the payoffs of all the agents |
| GET | tournament/replay | `name`, `agent0`, `agent1`, `index` | Return the replay data |
| POST | tournament/upload\_agent | `model`(Python file), `name`, `game`, | Upload a model file. `name` is model ID |
| GET | tournament/delete\_agent | `name` | Delete the agent of the given name |
| GET | tournament/list\_uploaded\_agents | `game` | list all the uploaded agents |
| GET | tournament/list\_baseline\_agents | `game` | list all the baseline agents |
| GET | download\_examples | `name` | download the example agents |
2020-12-07 01:21:49 +08:00
### Example API
2020-12-12 02:29:18 +08:00
| API | Description |
|------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------|
2021-05-27 23:18:30 +08:00
| http://127.0.0.1:8000/tournament/launch?num_eval_games=200&name=leduc-holdem | Evaluate on Leduc Holdem with 200 games for each pair of models |
2020-12-07 01:21:49 +08:00
| http://127.0.0.1:8000/tournament/replay?name=leduc-holdem&agent0=leduc-holdem-rule-v1&agent1=leduc-holdem-cfr&index=3 | Obtain the replay data between rule model and CFR model. Obtain the data of the 3rd game |
2021-05-27 23:18:30 +08:00
| http://127.0.0.1:8000/tournament/query_game&elements_every_page=10&page_index=0 | Get all the game data |
| http://127.0.0.1:8000/tournament/query_game?name=leduc-holdem&elements_every_page=10&page_index=0 | Get all the game data of Leduc Holdem |
| http://127.0.0.1:8000/tournament/query_payoff | Get all the payoffs |
| http://127.0.0.1:8000/tournament/query_payoff?agent0=leduc-holdem-cfr&agent1=leduc-holdem-rule-v1 | Get all the payoffs between rule and CFR models |
| http://127.0.0.1:8000/tournament/query_agent_payoff?name=leduc-holdem&elements\_every\_page=1&page\_index=1 | Get the payoffs of all the agents of leduc-holdem |
| http://127.0.0.1:8000/tournament/list_uploaded_agents?game=leduc-holdem | List the uploaded agents of leduc-holdem |
| http://127.0.0.1:8000/tournament/list_baseline_agents?game=leduc-holdem | List the baseline agents of leduc-holdem |
| http://127.0.0.1:8000/tournament/download_examples?name=example_luduc_nfsp_model | Download the NFSP example model for Leduc Hold'em |
2020-12-07 01:21:49 +08:00
## Registered Models
Some models have been pre-registered as baselines
| Model | Game | Description |
|----------------------|--------------|---------------------------------------|
| leduc-holdem-random | leduc-holdem | A random model |
| leduc-holdem-cfr | leduc-holdem | Pre-trained CFR model on Leduc Holdem |
| leduc-holdem-rule-v1 | leduc-holdem | A rule model that plays greedily |
| doudizhu-random | doudizhu | A random model |
| doudizhu-rule-v1 | doudizhu | Dou Dizhu rule model |
### Example of uploading a new model
A example model file is prepared:
```
2020-12-19 01:44:16 +08:00
cd server/media/example_agents
2020-12-07 01:21:49 +08:00
```
Upload the model with `curl`:
```
2020-12-19 01:44:16 +08:00
curl -F 'model=@example_luduc_nfsp_model.zip' -F "name=leduc-nfsp" -F "game=leduc-holdem" http://127.0.0.1:8000/tournament/upload_agent
2020-12-07 01:21:49 +08:00
```
Launch the tounament with:
```
2021-05-27 23:18:30 +08:00
curl 'http://127.0.0.1:8000/tournament/launch?num_eval_games=200&name=leduc-holdem'
2020-12-07 01:21:49 +08:00
```
We list the uploaded agent with
```
curl http://127.0.0.1:8000/tournament/list_uploaded_agents
```
We can delete the agent with
```
curl 'http://127.0.0.1:8000/tournament/delete_agent?name=leduc-new'
```