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There are some examples of energy systems that can be sent to the MVS (no 500 Error), but then no results are received by the EPA and an ERROR is displayed in the status bar. There is an energy system in the testUser account that runs through, so we need to figure out where the issue arises - at EPA side when parsing the inputs, when reading into the MVS, parsing the MVS results into EPA format or on EPA side when parsing the results.

Examples of energy systems in account martha.hoffmann:

• Energy system with just a demand and an energy provider - Scenario "Only demand and provider"
• Simple energy system - Scenario "PV, Demand, Provider"
• Real-life energy system (no real data) - Scenario "Simplified 2"

Todos:

• Post screenshots of "network analysis" when executing a simulation
• Retrieve input data from the "network analysis" for all three scenarios, create json files from it
• Read the inputs with the EPA-MVS parser and try to execute simulation
• Post error messages, if any

The import in task_queue/tasks.py has to be adapted and the requirement file updated. Then these changes must be pulled onto the RLI server and the docker restarted to update the online app

Something along those lines

zipped_file = BytesIO()
with zipfile.ZipFile(zipped_file, 'a', zipfile.ZIP_DEFLATED) as zipped:
csv_data = StringIO()
writer = csv.writer(csv_data, delimiter=',')
writer.writerow(["test", "data"])
csv_data.seek(0)
csv_buffer = csv_data.read()
zipped.writestr(f"test_data.csv", csv_buffer)
zipped_file.seek(0)
response = StreamingResponse(zipped_file, media_type="application/x-zip-compressed")
response.headers["Content-Disposition"] = "attachment; filename=test.zip"

return JSONResponse(content=jsonable_encoder(answer))

One of the scenarios in martha.hoffmann on the EPA online version is the "Warehouse 14" scenario. It terminates with status ERROR.

MVS json request file send from EPA:
warehouse_14.txt

The file can be parsed and initiates the simulation, but one key seems to be missing:

Traceback (most recent call last):
  File "tests/test_benchmark_scenarios.py", line 369, in <module>
    help_execute(file_4)
  File "tests/test_benchmark_scenarios.py", line 361, in help_execute
    run_simulation(dict_values)
  File "d:\pycharmprojects\mvs_eland\src\multi_vector_simulator\server.py", line 95, in run_simulation
    C0.all(dict_values)
  File "d:\pycharmprojects\mvs_eland\src\multi_vector_simulator\C0_data_processing.py", line 78, in all
    C1.check_feedin_tariff_vs_levelized_cost_of_generation_of_production(dict_values)
  File "d:\pycharmprojects\mvs_eland\src\multi_vector_simulator\C1_verification.py", line 189, in check_feedin_tariff_vs_levelized_cost_of_generation_of_production
    dict_values[ENERGY_PRODUCTION][production_asset][DISPATCHABILITY]
KeyError: 'dispatchable'

No keys are indicated to be missing, so I suppose that the issue is within the MVS. It may have to do with some decisions in C0, where dispatchablility might have been attibuted depending on whether or not a file_name was provided for the timeseries.

Sub-dependencies from package installed upon multi-vector-simulator[report] fail to install, even by adding apt-get install python3.7-dev -y to Dockerfile