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openapi/swagger.json

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@@ -6,7 +6,7 @@
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},
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"components": {
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"schemas": {
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"A collection of row objects conforming to the schema of the table where keys are the column IDs and values are the column values:\n\n```json\n[\n\t{\n\t\t\"fullName\": \"Alex Bard\",\n\t\t\"invoiceDate\": \"2024-07-29T14:04:15.561Z\",\n\t\t\"totalAmount\": 34.50,\n\t\t\"amountPaid\": 0\n\t},\n\t{\n\t\t\"fullName\": \"Alicia Hines\",\n\t\t\"invoiceDate\": \"2023-06-15T10:30:00.000Z\",\n\t\t\"totalAmount\": 50.75,\n\t\t\"amountPaid\": 20\n\t}\n]\n```": {
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"A_collection_of_row_objects": {
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"type": "array",
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"items": {
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"type": "object",
@@ -373,7 +373,7 @@
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"rows": {
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"anyOf": [
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{
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"$ref": "#/components/schemas/A collection of row objects conforming to the schema of the table where keys are the column IDs and values are the column values:\n\n```json\n[\n\t{\n\t\t\"fullName\": \"Alex Bard\",\n\t\t\"invoiceDate\": \"2024-07-29T14:04:15.561Z\",\n\t\t\"totalAmount\": 34.50,\n\t\t\"amountPaid\": 0\n\t},\n\t{\n\t\t\"fullName\": \"Alicia Hines\",\n\t\t\"invoiceDate\": \"2023-06-15T10:30:00.000Z\",\n\t\t\"totalAmount\": 50.75,\n\t\t\"amountPaid\": 20\n\t}\n]\n```"
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"$ref": "#/components/schemas/A_collection_of_row_objects"
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},
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{
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"type": "object",
@@ -401,7 +401,7 @@
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"additionalProperties": false
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},
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{
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"$ref": "#/components/schemas/A collection of row objects conforming to the schema of the table where keys are the column IDs and values are the column values:\n\n```json\n[\n\t{\n\t\t\"fullName\": \"Alex Bard\",\n\t\t\"invoiceDate\": \"2024-07-29T14:04:15.561Z\",\n\t\t\"totalAmount\": 34.50,\n\t\t\"amountPaid\": 0\n\t},\n\t{\n\t\t\"fullName\": \"Alicia Hines\",\n\t\t\"invoiceDate\": \"2023-06-15T10:30:00.000Z\",\n\t\t\"totalAmount\": 50.75,\n\t\t\"amountPaid\": 20\n\t}\n]\n```"
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"$ref": "#/components/schemas/A_collection_of_row_objects"
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}
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]
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}
@@ -413,20 +413,6 @@
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"example": "Name,Age,Birthday\nAlice,25,2024-08-29T09:46:16.722Z\nBob,30,2020-01-15T09:00:16.722Z"
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}
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},
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"text/tab-separated-values": {
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"schema": {
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"type": "string",
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"description": "A TSV string. The first line is column IDs, and each subsequent line is a row of data. The schema will be inferred from the data. The name of the table must be passed in the query parameter `name`.",
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"example": "Name\tAge\tBirthday\nAlice\t25\t2024-08-29T09:46:16.722Z\nBob\t30\t2020-01-15T09:00:16.722Z"
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}
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},
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"text/csv": {
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"schema": {
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"type": "string",
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"description": "A CSV string. The first line is column IDs, and each subsequent line is a row of data. The schema will be inferred from the data. The name of the table must be passed in the query parameter `name`.",
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"example": "Name,Age,Birthday\nAlice,25,2024-08-29T09:46:16.722Z\nBob,30,2020-01-15T09:00:16.722Z"
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}
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},
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"text/tab-separated-values": {
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"schema": {
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"type": "string",
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"rows": {
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"anyOf": [
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{
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"$ref": "#/components/schemas/A collection of row objects conforming to the schema of the table where keys are the column IDs and values are the column values:\n\n```json\n[\n\t{\n\t\t\"fullName\": \"Alex Bard\",\n\t\t\"invoiceDate\": \"2024-07-29T14:04:15.561Z\",\n\t\t\"totalAmount\": 34.50,\n\t\t\"amountPaid\": 0\n\t},\n\t{\n\t\t\"fullName\": \"Alicia Hines\",\n\t\t\"invoiceDate\": \"2023-06-15T10:30:00.000Z\",\n\t\t\"totalAmount\": 50.75,\n\t\t\"amountPaid\": 20\n\t}\n]\n```"
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"$ref": "#/components/schemas/A_collection_of_row_objects"
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},
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{
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"type": "object",
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"additionalProperties": false
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},
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{
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"$ref": "#/components/schemas/A collection of row objects conforming to the schema of the table where keys are the column IDs and values are the column values:\n\n```json\n[\n\t{\n\t\t\"fullName\": \"Alex Bard\",\n\t\t\"invoiceDate\": \"2024-07-29T14:04:15.561Z\",\n\t\t\"totalAmount\": 34.50,\n\t\t\"amountPaid\": 0\n\t},\n\t{\n\t\t\"fullName\": \"Alicia Hines\",\n\t\t\"invoiceDate\": \"2023-06-15T10:30:00.000Z\",\n\t\t\"totalAmount\": 50.75,\n\t\t\"amountPaid\": 20\n\t}\n]\n```"
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"$ref": "#/components/schemas/A_collection_of_row_objects"
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}
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]
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}
@@ -754,20 +740,6 @@
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"example": "Name,Age,Birthday\nAlice,25,2024-08-29T09:46:16.722Z\nBob,30,2020-01-15T09:00:16.722Z"
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}
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},
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"text/tab-separated-values": {
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"schema": {
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"type": "string",
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"description": "A TSV string. The first line is column IDs, and each subsequent line is a row of data.",
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"example": "Name\tAge\tBirthday\nAlice\t25\t2024-08-29T09:46:16.722Z\nBob\t30\t2020-01-15T09:00:16.722Z"
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}
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},
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"text/csv": {
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"schema": {
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"type": "string",
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"description": "A CSV string. The first line is column IDs, and each subsequent line is a row of data.",
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"example": "Name,Age,Birthday\nAlice,25,2024-08-29T09:46:16.722Z\nBob,30,2020-01-15T09:00:16.722Z"
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}
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},
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"text/tab-separated-values": {
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"schema": {
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"type": "string",

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