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Car Park Agent Application

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The Fetch.ai car park agent demo is documented in its own repo here.

+

To test the AEA functionality (without the detection)

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Let's reference a diagram

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+ sequenceDiagram participant Agent_0 participant Agent_1 participant Agent_2 participant Controller participant OEF activate Controller Agent_1->>Agent_2: send_cfp(msg_id: 1, dialogue_id: 1, destination: agent_2_pbk, target: 0, query=Query) Agent_2->>Agent_1: send_propose(msg_id: 2, dialogue_id: 1, destination: agent_1_pbk, target: 1, proposals=List[Description]) Agent_1->>Agent_2: send_accept(msg_id: 3, dialogue_id: 1, destination: agent_2_pbk, target: 2) Agent_1->>Controller: send_message(msg_id: 3, dialogue_id: 1, destination: controller_pbk, msg: Transaction) Agent_2->>Agent_1: send_accept(msg_id: 4, dialogue_id: 1, destination: agent_1_pbk, target: 3) Agent_2->>Controller: send_message(msg_id: 4, dialogue_id: 1, destination: controller_pbk, msg: Transaction) deactivate Controllermkdocs mermaid + +
+

First, create the carpark detection agent: + 

aea create car_detector
+cd car_detector
+aea add skill carpark_detection
+aea install
+
+

+

Then, create the carpark client agent: + 

aea create car_data_buyer
+cd car_data_buyer
+aea add skill carpark_client
+aea install
+aea generate-key fetchai
+
+

+

Add the ledger info to both aea configs: + 

ledger_apis:
+  - ledger_api:
+      ledger: fetchai
+      addr: alpha.fetch-ai.com
+      port: 80
+
+

+

Fund the carpark client agent: + 

cd ..
+python scripts/fetchai_wealth_generation.py --private-key car_data_buyer/fet_private_key.txt --amount 10000000000 --addr alpha.fetch-ai.com --port 80
+
+

+

Then, in the carpark detection agent comment out database related settings: + 

# db_is_rel_to_cwd: true
+# db_rel_dir: ../temp_files
+
+

+

Then, in the client agent do: + 

max_detection_age: 36000000
+
+

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Then, launch an OEF node instance: + 

python scripts/oef/launch.py -c ./scripts/oef/launch_config.json
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Finally, run both agents with aea run.

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