fix: improve llamaparse

service/llamaparse.py

@@ -153,60 +153,3 @@ class LlamaParseWithS3(LlamaParse):
                 raise RuntimeError(nest_asyncio_msg)
             else:
                 raise e
-
-    async def _aget_json(
-        self, job_id, file_path: FileInput, extra_info: Optional[dict] = None
-    ) -> List[dict]:
-        """Load data from the input path."""
-        try:
-            if self.verbose:
-                print("Started parsing the file under job_id %s" % job_id)
-            result = await self._get_job_result(job_id, "json")
-            result["job_id"] = job_id
-
-            if not isinstance(file_path, (bytes, BufferedIOBase)):
-                result["file_path"] = str(file_path)
-
-            return [result]
-        except Exception as e:
-            file_repr = file_path if isinstance(file_path, str) else "<bytes/buffer>"
-            print(f"Error while parsing the file '{file_repr}':", e)
-            if self.ignore_errors:
-                return []
-            else:
-                raise e
-
-    async def aget_json(
-        self,
-        file_path: Union[List[FileInput], FileInput],
-        extra_info: Optional[dict] = None,
-    ) -> List[dict]:
-        """Load data from the input path."""
-        if isinstance(file_path, (str, Path, bytes, BufferedIOBase)):
-            # return await self._aget_json(file_path, extra_info=extra_info)
-            return await self._aget_json(
-                job_id="cda0870a-b896-4140-84ea-1565e1aa1565",
-                file_path=file_path,
-                extra_info=extra_info,
-            )
-        elif isinstance(file_path, list):
-            jobs = [self._aget_json(f, extra_info=extra_info) for f in file_path]
-            try:
-                results = await run_jobs(
-                    jobs,
-                    workers=self.num_workers,
-                    desc="Parsing files",
-                    show_progress=self.show_progress,
-                )
-
-                # return flattened results
-                return [item for sublist in results for item in sublist]
-            except RuntimeError as e:
-                if nest_asyncio_err in str(e):
-                    raise RuntimeError(nest_asyncio_msg)
-                else:
-                    raise e
-        else:
-            raise ValueError(
-                "The input file_path must be a string or a list of strings."
-            )