spec.json

{
    "version": "1.0.0",
    "errors": {


        "io-error": {
          "name": "IO Error",
          "type": "source",
          "context": "table",
          "weight": 100,
          "message": "The data source returned an IO Error of type {error_type}",
          "description": "Data reading error because of IO error.\n\n How it could be resolved:\n - Fix path if it's not correct."
        },
        "http-error": {
          "name": "HTTP Error",
          "type": "source",
          "context": "table",
          "weight": 100,
          "message": "The data source returned an HTTP error with a status code of {status_code}",
          "description": "Data reading error because of HTTP error.\n\n How it could be resolved:\n - Fix url link if it's not correct."
        },
        "source-error": {
          "name": "Source Error",
          "type": "source",
          "context": "table",
          "weight": 100,
          "message": "The data source has not supported or has inconsistent contents; no tabular data can be extracted",
          "description": "Data reading error because of not supported or inconsistent contents.\n\n How it could be resolved:\n - Fix data contents (e.g. change JSON data to array or arrays/objects).\n - Set correct source settings in {validator}."
        },
        "scheme-error": {
          "name": "Scheme Error",
          "type": "source",
          "context": "table",
          "weight": 100,
          "message": "The data source is in an unknown scheme; no tabular data can be extracted",
          "description": "Data reading error because of incorrect scheme.\n\n How it could be resolved:\n - Fix data scheme (e.g. change scheme from `ftp` to `http`).\n - Set correct scheme in {validator}."
        },
        "format-error": {
          "name": "Format Error",
          "type": "source",
          "context": "table",
          "weight": 100,
          "message": "The data source is in an unknown format; no tabular data can be extracted",
          "description": "Data reading error because of incorrect format.\n\n How it could be resolved:\n - Fix data format (e.g. change file extension from `txt` to `csv`).\n - Set correct format in {validator}."
        },
        "encoding-error": {
          "name": "Encoding Error",
          "type": "source",
          "context": "table",
          "weight": 100,
          "message": "The data source could not be successfully decoded with {encoding} encoding",
          "description": "Data reading error because of an encoding problem.\n\n How it could be resolved:\n - Fix data source if it's broken.\n - Set correct encoding in {validator}."
        },


        "blank-header": {
          "name": "Blank Header",
          "type": "structure",
          "context": "head",
          "weight": 3,
          "message": "Header in column {column_number} is blank",
          "description": "A column in the header row is missing a value. Column names should be provided.\n\n How it could be resolved:\n - Add the missing column name to the first row of the data source.\n - If the first row starts with, or ends with a comma, remove it.\n - If this error should be ignored disable `blank-header` check in {validator}."
        },
        "duplicate-header": {
          "name": "Duplicate Header",
          "type": "structure",
          "context": "head",
          "weight": 3,
          "message": "Header in column {column_number} is duplicated to header in column(s) {column_numbers}",
          "description": "Two columns in the header row have the same value. Column names should be unique.\n\n How it could be resolved:\n - Add the missing column name to the first row of the data.\n - If the first row starts with, or ends with a comma, remove it.\n - If this error should be ignored disable `duplicate-header` check in {validator}."
        },
        "blank-row": {
          "name": "Blank Row",
          "type": "structure",
          "context": "body",
          "weight": 9,
          "message": "Row {row_number} is completely blank",
          "description": "This row is empty. A row should contain at least one value.\n\n How it could be resolved:\n - Delete the row.\n - If this error should be ignored disable `blank-row` check in {validator}."
        },
        "duplicate-row": {
          "name": "Duplicate Row",
          "type": "structure",
          "context": "body",
          "weight": 5,
          "message": "Row {row_number} is duplicated to row(s) {row_numbers}",
          "description": "The exact same data has been seen in another row.\n\n How it could be resolved:\n - If some of the data is incorrect, correct it.\n - If the whole row is an incorrect duplicate, remove it.\n - If this error should be ignored disable `duplicate-row` check in {validator}."
        },
        "extra-value": {
          "name": "Extra Value",
          "type": "structure",
          "context": "body",
          "weight": 9,
          "message": "Row {row_number} has an extra value in column {column_number}",
          "description": "This row has more values compared to the header row (the first row in the data source). A key concept is that all the rows in tabular data must have the same number of columns.\n\n How it could be resolved:\n - Check data has an extra comma between the values in this row.\n - If this error should be ignored disable `extra-value` check in {validator}."
        },
        "missing-value": {
          "name": "Missing Value",
          "type": "structure",
          "context": "body",
          "weight": 9,
          "message": "Row {row_number} has a missing value in column {column_number}",
          "description": "This row has less values compared to the header row (the first row in the data source). A key concept is that all the rows in tabular data must have the same number of columns.\n\n How it could be resolved:\n - Check data is not missing a comma between the values in this row.\n - If this error should be ignored disable `missing-value` check in {validator}."
        },


        "schema-error": {
          "name": "Table Schema Error",
          "type": "schema",
          "context": "table",
          "weight": 15,
          "message": "Table Schema error: {error_message}",
          "description": "Provided schema is not valid.\n\n How it could be resolved:\n - Update schema descriptor to be a valid descriptor\n - If this error should be ignored disable schema checks in {validator}."
        },
        "non-matching-header": {
          "name": "Non-Matching Header",
          "type": "schema",
          "context": "head",
          "weight": 9,
          "message": "Header in column {column_number} doesn't match field name {field_name} in the schema",
          "description": "One of the data source headers doesn't match the field name defined in the schema.\n\n How it could be resolved:\n - Rename header in the data source or field in the schema\n - If this error should be ignored disable `non-matching-header` check in {validator}."
        },
        "extra-header": {
          "name": "Extra Header",
          "type": "schema",
          "context": "head",
          "weight": 9,
          "message": "There is an extra header in column {column_number}",
          "description": "The first row of the data source contains header that doesn't exist in the schema.\n\n How it could be resolved:\n - Remove the extra column from the data source or add the missing field to the schema\n - If this error should be ignored disable `extra-header` check in {validator}."
        },
        "missing-header": {
          "name": "Missing Header",
          "type": "schema",
          "context": "head",
          "weight": 9,
          "message": "There is a missing header in column {column_number}",
          "description": "Based on the schema there should be a header that is missing in the first row of the data source.\n\n How it could be resolved:\n - Add the missing column to the data source or remove the extra field from the schema\n - If this error should be ignored disable `missing-header` check in {validator}."
        },
        "type-or-format-error": {
          "name": "Type or Format Error",
          "type": "schema",
          "context": "body",
          "weight": 9,
          "message": "The value {value} in row {row_number} and column {column_number} is not type {field_type} and format {field_format}",
          "description": "The value does not match the schema type and format for this field.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If this value is correct, adjust the type and/or format.\n - To ignore the error, disable the `type-or-format-error` check in {validator}. In this case all schema checks for row values will be ignored."
        },
        "required-constraint": {
          "name": "Required Constraint",
          "type": "schema",
          "context": "body",
          "weight": 9,
          "message": "Column {column_number} is a required field, but row {row_number} has no value",
          "description": "This field is a required field, but it contains no value.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove the `required` constraint from the schema.\n - If this error should be ignored disable `required-constraint` check in {validator}."
        },
        "pattern-constraint": {
          "name": "Pattern Constraint",
          "type": "schema",
          "context": "body",
          "weight": 7,
          "message": "The value {value} in row {row_number} and column {column_number} does not conform to the pattern constraint of {constraint}",
          "description": "This field value should conform to constraint pattern.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove or refine the `pattern` constraint in the schema.\n - If this error should be ignored disable `pattern-constraint` check in {validator}."
        },
        "unique-constraint": {
          "name": "Unique Constraint",
          "type": "schema",
          "context": "body",
          "weight": 9,
          "message": "Rows {row_numbers} has unique constraint violation in column {column_number}",
          "description": "This field is a unique field but it contains a value that has been used in another row.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then the values in this column are not unique. Remove the `unique` constraint from the schema.\n - If this error should be ignored disable `unique-constraint` check in {validator}."
        },
        "enumerable-constraint": {
          "name": "Enumerable Constraint",
          "type": "schema",
          "context": "body",
          "weight": 7,
          "message": "The value {value} in row {row_number} and column {column_number} does not conform to the given enumeration: {constraint}",
          "description": "This field value should be equal to one of the values in the enumeration constraint.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove or refine the `enum` constraint in the schema.\n - If this error should be ignored disable `enumerable-constraint` check in {validator}."
        },
        "minimum-constraint": {
          "name": "Minimum Constraint",
          "type": "schema",
          "context": "body",
          "weight": 7,
          "message": "The value {value} in row {row_number} and column {column_number} does not conform to the minimum constraint of {constraint}",
          "description": "This field value should be greater or equal than constraint value.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove or refine the `minimum` constraint in the schema.\n - If this error should be ignored disable `minimum-constraint` check in {validator}."
        },
        "maximum-constraint": {
          "name": "Maximum Constraint",
          "type": "schema",
          "context": "body",
          "weight": 7,
          "message": "The value {value} in row {row_number} and column {column_number} does not conform to the maximum constraint of {constraint}",
          "description": "This field value should be less or equal than constraint value.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove or refine the `maximum` constraint in the schema.\n - If this error should be ignored disable `maximum-constraint` check in {validator}."
        },
        "minimum-length-constraint": {
          "name": "Minimum Length Constraint",
          "type": "schema",
          "context": "body",
          "weight": 7,
          "message": "The value {value} in row {row_number} and column {column_number} does not conform to the minimum length constraint of {constraint}",
          "description": "A length of this field value should be greater or equal than schema constraint value.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove or refine the `minimumLength` constraint in the schema.\n - If this error should be ignored disable `minimum-length-constraint` check in {validator}."
        },
        "maximum-length-constraint": {
          "name": "Maximum Length Constraint",
          "type": "schema",
          "context": "body",
          "weight": 7,
          "message": "The value {value} in row {row_number} and column {column_number} does not conform to the maximum length constraint of {constraint}",
          "description": "A length of this field value should be less or equal than schema constraint value.\n\n How it could be resolved:\n - If this value is not correct, update the value.\n - If value is correct, then remove or refine the `maximumLength` constraint in the schema.\n - If this error should be ignored disable `maximum-length-constraint` check in {validator}."
        }


    }
}