add openai twitter simulation example (#90)

Most of the time, we want to quickly delploy oasis and conduct twitter
simulations. So I add a openai twitter simulation example.

Author: echo-yiyiyi

examples/twitter_simulation_oai.py

@@ -0,0 +1,93 @@
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. ===========
+import asyncio
+import os
+
+from camel.models import ModelFactory
+from camel.types import ModelPlatformType, ModelType
+
+import oasis
+from oasis import ActionType, EnvAction, SingleAction
+
+
+async def main():
+    openai_model = ModelFactory.create(
+        model_platform=ModelPlatformType.OPENAI,
+        model_type=ModelType.GPT_4O_MINI,
+    )
+
+    # Define the available actions for the agents
+    available_actions = [
+        ActionType.CREATE_POST,
+        ActionType.LIKE_POST,
+        ActionType.REPOST,
+        ActionType.FOLLOW,
+        ActionType.DO_NOTHING,
+        ActionType.QUOTE_POST,
+    ]
+
+    # Define the path to the database
+    db_path = "./data/twitter_simulation.db"
+
+    # Delete the old database
+    if os.path.exists(db_path):
+        os.remove(db_path)
+
+    # Make the environment
+    env = oasis.make(
+        platform=oasis.DefaultPlatformType.TWITTER,
+        database_path=db_path,
+        agent_profile_path=("data/twitter_dataset/anonymous_topic_200_1h/"
+                            "False_Business_0.csv"),
+        agent_models=openai_model,
+        available_actions=available_actions,
+    )
+
+    # Run the environment
+    await env.reset()
+
+    action_1 = SingleAction(agent_id=0,
+                            action=ActionType.CREATE_POST,
+                            args={"content": "Earth is flat."})
+    env_actions_1 = EnvAction(
+        # Activate 5 agents with id 1, 3, 5, 7, 9
+        activate_agents=[1, 3, 5, 7, 9],
+        intervention=[action_1])
+
+    action_2 = SingleAction(agent_id=1,
+                            action=ActionType.CREATE_POST,
+                            args={"content": "Earth is not flat."})
+    env_actions_2 = EnvAction(activate_agents=[2, 4, 6, 8, 10],
+                              intervention=[action_2])
+
+    empty_action = EnvAction()  # Means activate all agents and no intervention
+
+    all_env_actions = [
+        env_actions_1,
+        env_actions_2,
+        empty_action,
+    ]
+
+    # Simulate 3 timesteps
+    for i in range(3):
+        env_actions = all_env_actions[i]
+        # Perform the actions
+        await env.step(env_actions)
+
+    # Close the environment
+    await env.close()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())