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feat(build): migrate from Prettier to Oxfmt for docs
Signed-off-by: hainenber <dotronghai96@gmail.com>
This commit is contained in:
hainenber
@@ -1 +1,104 @@
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{"schema":{"properties":{"already_exists":{"default":"fail","description":"What to do if the table already exists accepts: fail, replace, append","enum":["fail","replace","append"],"type":"string"},"column_data_types":{"description":"[CSV only] A dictionary with column names and their data types if you need to change the defaults. Example: {'user_id':'int'}. Check Python Pandas library for supported data types","type":"string"},"column_dates":{"description":"[CSV and Excel only] A list of column names that should be parsed as dates. Example: date,timestamp","items":{"type":"string"},"type":"array"},"columns_read":{"description":"A List of the column names that should be read","items":{"type":"string"},"type":"array"},"dataframe_index":{"description":"Write dataframe index as a column.","type":"boolean"},"day_first":{"description":"[CSV only] DD/MM format dates, international and European format","type":"boolean"},"decimal_character":{"description":"[CSV and Excel only] Character to recognize as decimal point. Default is '.'","type":"string"},"delimiter":{"description":"[CSV only] The character used to separate values in the CSV file (e.g., a comma, semicolon, or tab).","type":"string"},"file":{"description":"The file to upload","format":"text/csv","type":"string"},"header_row":{"description":"[CSV and Excel only] Row containing the headers to use as column names (0 is first line of data). Leave empty if there is no header row.","type":"integer"},"index_column":{"description":"[CSV and Excel only] Column to use as the row labels of the dataframe. Leave empty if no index column","type":"string"},"index_label":{"description":"Index label for index column.","type":"string"},"null_values":{"description":"[CSV and Excel only] A list of strings that should be treated as null. Examples: '' for empty strings, 'None', 'N/A', Warning: Hive database supports only a single value","items":{"type":"string"},"type":"array"},"rows_to_read":{"description":"[CSV and Excel only] Number of rows to read from the file. If None, reads all rows.","minimum":1,"nullable":true,"type":"integer"},"schema":{"description":"The schema to upload the data file to.","type":"string"},"sheet_name":{"description":"[Excel only]] Strings used for sheet names (default is the first sheet).","type":"string"},"skip_blank_lines":{"description":"[CSV only] Skip blank lines in the CSV file.","type":"boolean"},"skip_initial_space":{"description":"[CSV only] Skip spaces after delimiter.","type":"boolean"},"skip_rows":{"description":"[CSV and Excel only] Number of rows to skip at start of file.","type":"integer"},"table_name":{"description":"The name of the table to be created/appended","maxLength":10000,"minLength":1,"type":"string"},"type":{"description":"File type to upload","enum":["csv","excel","columnar"]}},"required":["file","table_name","type"],"type":"object","title":"UploadPostSchema"},"schemaType":"response"}
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{
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"schema": {
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"properties": {
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"already_exists": {
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"default": "fail",
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"description": "What to do if the table already exists accepts: fail, replace, append",
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"enum": ["fail", "replace", "append"],
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"type": "string"
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},
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"column_data_types": {
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"description": "[CSV only] A dictionary with column names and their data types if you need to change the defaults. Example: {'user_id':'int'}. Check Python Pandas library for supported data types",
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"type": "string"
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},
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"column_dates": {
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"description": "[CSV and Excel only] A list of column names that should be parsed as dates. Example: date,timestamp",
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"items": { "type": "string" },
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"type": "array"
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},
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"columns_read": {
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"description": "A List of the column names that should be read",
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"items": { "type": "string" },
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"type": "array"
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},
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"dataframe_index": {
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"description": "Write dataframe index as a column.",
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"type": "boolean"
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},
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"day_first": {
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"description": "[CSV only] DD/MM format dates, international and European format",
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"type": "boolean"
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},
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"decimal_character": {
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"description": "[CSV and Excel only] Character to recognize as decimal point. Default is '.'",
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"type": "string"
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},
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"delimiter": {
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"description": "[CSV only] The character used to separate values in the CSV file (e.g., a comma, semicolon, or tab).",
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"type": "string"
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},
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"file": {
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"description": "The file to upload",
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"format": "text/csv",
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"type": "string"
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},
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"header_row": {
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"description": "[CSV and Excel only] Row containing the headers to use as column names (0 is first line of data). Leave empty if there is no header row.",
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"type": "integer"
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},
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"index_column": {
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"description": "[CSV and Excel only] Column to use as the row labels of the dataframe. Leave empty if no index column",
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"type": "string"
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},
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"index_label": {
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"description": "Index label for index column.",
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"type": "string"
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},
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"null_values": {
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"description": "[CSV and Excel only] A list of strings that should be treated as null. Examples: '' for empty strings, 'None', 'N/A', Warning: Hive database supports only a single value",
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"items": { "type": "string" },
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"type": "array"
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},
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"rows_to_read": {
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"description": "[CSV and Excel only] Number of rows to read from the file. If None, reads all rows.",
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"minimum": 1,
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"nullable": true,
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"type": "integer"
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},
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"schema": {
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"description": "The schema to upload the data file to.",
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"type": "string"
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},
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"sheet_name": {
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"description": "[Excel only]] Strings used for sheet names (default is the first sheet).",
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"type": "string"
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},
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"skip_blank_lines": {
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"description": "[CSV only] Skip blank lines in the CSV file.",
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"type": "boolean"
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},
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"skip_initial_space": {
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"description": "[CSV only] Skip spaces after delimiter.",
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"type": "boolean"
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},
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"skip_rows": {
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"description": "[CSV and Excel only] Number of rows to skip at start of file.",
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"type": "integer"
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},
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"table_name": {
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"description": "The name of the table to be created/appended",
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"maxLength": 10000,
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"minLength": 1,
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"type": "string"
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},
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"type": {
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"description": "File type to upload",
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"enum": ["csv", "excel", "columnar"]
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}
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},
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"required": ["file", "table_name", "type"],
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"type": "object",
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"title": "UploadPostSchema"
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},
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"schemaType": "response"
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}
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