create_conversion_job
Create loc_id Conversion Job
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Creates a synchronous v0 user-data conversion job with preserved scalar fields and JSON rows, CSV, JSON Lines, or Parquet output. Hosted service default: 7,500 rows, tuned around a 10-20 second response budget. A direct local-runtime loopback caller has no service item cap; local machine resources are the boundary. Identifier deduplication keeps repeated geography keys efficient.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| quote_id | string | no | Quote id returned by estimate_conversion_job, when available. |
| from_system | string | no | |
| geography_binding | object | no | |
| to_system | string | no | Optional output reference system. Omit to normalize to loc_id. |
| items | array | yes | Rows to convert; row-level fields may override top-level defaults. |
| target_admin_level | any | no | |
| iso3 | string | no | |
| relationship_vintage | string | no | |
| min_share | number | no | |
| limit | integer | no | |
| output_format | string | no | |
| output_name | string | no | |
| request_id | string | no | Optional caller-supplied request id for tracing. |
Raw JSON schema
{
"type": "object",
"properties": {
"quote_id": {
"type": "string",
"description": "Quote id returned by estimate_conversion_job, when available."
},
"from_system": {
"type": "string"
},
"geography_binding": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"reference",
"loc_id"
]
},
"system": {
"type": "string"
},
"geo_level": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"vintage": {
"type": "string"
},
"id_column": {
"type": "string"
},
"country_scope": {
"type": "string"
}
},
"required": [
"system"
],
"additionalProperties": false
},
"to_system": {
"type": "string",
"description": "Optional output reference system. Omit to normalize to loc_id."
},
"items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"value": {
"type": "string",
"description": "Identifier value; keep as a string to preserve leading zeros."
},
"data": {
"type": "object",
"maxProperties": 200,
"additionalProperties": {
"anyOf": [
{
"type": "string"
},
{
"type": "number"
},
{
"type": "integer"
},
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"description": "Original spreadsheet columns to preserve. Column names beginning daedalmap_ are reserved for generated output fields."
},
"row_index": {
"anyOf": [
{
"type": "integer"
},
{
"type": "string"
}
]
},
"id": {
"anyOf": [
{
"type": "integer"
},
{
"type": "string"
}
]
},
"from_system": {
"type": "string"
},
"to_system": {
"type": "string"
},
"iso3": {
"type": "string"
},
"target_admin_level": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"relationship_vintage": {
"type": "string"
},
"min_share": {
"type": "number",
"minimum": 0,
"maximum": 1
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"required": [
"value"
],
"additionalProperties": false
},
"description": "Rows to convert; row-level fields may override top-level defaults."
},
"target_admin_level": {
"anyOf": [
{
"type": "string"
},
{
"type": "integer"
}
]
},
"iso3": {
"type": "string"
},
"relationship_vintage": {
"type": "string"
},
"min_share": {
"type": "number",
"minimum": 0,
"maximum": 1
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100
},
"output_format": {
"type": "string",
"enum": [
"json_rows",
"csv",
"jsonl",
"parquet"
]
},
"output_name": {
"type": "string",
"maxLength": 80
},
"request_id": {
"type": "string",
"description": "Optional caller-supplied request id for tracing."
}
},
"required": [
"items"
],
"anyOf": [
{
"required": [
"from_system"
]
},
{
"required": [
"geography_binding"
]
}
],
"additionalProperties": false
}