| import pyarrow as pa | |
| from dora import DoraStatus | |
| class Operator: | |
| """ | |
| Inferring object from images | |
| """ | |
| def __init__(self): | |
| self.last_file = "" | |
| self.last_path = "" | |
| self.last_netadata = None | |
| def on_event( | |
| self, | |
| dora_event, | |
| send_output, | |
| ) -> DoraStatus: | |
| if dora_event["type"] == "INPUT" and dora_event["id"] == "file": | |
| input = dora_event["value"][0].as_py() | |
| with open(input["path"], "r") as file: | |
| self.last_file = file.read() | |
| self.last_path = input["path"] | |
| self.last_metadata = dora_event["metadata"] | |
| with open(input["path"], "w") as file: | |
| file.write(input["raw"]) | |
| send_output( | |
| "saved_file", | |
| pa.array( | |
| [ | |
| { | |
| "raw": input["raw"], | |
| "path": input["path"], | |
| "origin": dora_event["id"], | |
| } | |
| ] | |
| ), | |
| dora_event["metadata"], | |
| ) | |
| return DoraStatus.CONTINUE | |