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6261018591
enso/app/gui2/stories/mockSuggestions.json
Adam Obuchowicz 2919e5833c
Update filtering in new CB (#10847) 
Fixes #10604

Removed many parts of `filtering.ts` and `input.ts` - now our filtering is not "context aware", in the component browsing mode we just take entire input as filtering pattern.

[Screencast from 2024-08-20 11-49-20.webm](https://github.com/user-attachments/assets/23137036-5f46-4982-bac7-9196461e7c9c)

# Important Notes
As we agreed during refinement, I did not focus on exact unit testing - we need to first try the new design out.
2024-08-21 10:59:45 +00:00

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"name": "fetch",
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"documentation": " ALIAS http post, upload\nGROUP Input\nWrites the provided data to the provided URI. Returns the response,\nparsing the body if the content-type is recognised. Returns an error if the\nstatus code does not represent a successful response.\n\nArguments:\n- uri: The URI to fetch.\n- body: The data to write. See `Supported Body Types` below.\n- method: The HTTP method to use. Must be one of `HTTP_Method.Post`,\n `HTTP_Method.Put`, `HTTP_Method.Patch`. Defaults to `HTTP_Method.Post`.\n- headers: The headers to send with the request. Defaults to an empty vector.\n- try_auto_parse: If successful should the body be attempted to be parsed to\n an Enso native object.\n\n! Supported Body Types\n\n - Request_Body.Text: Sends a text string, with optional encoding and content\n type.\n - Request_Body.Json: Sends an Enso object, after converting it to JSON.\n - Request_Body.Binary: Sends a file.\n - Request_Body.Form_Data: Sends a form encoded as key/value pairs. The keys\n must be `Text`, and the values must be `Text` or `File`.\n - Request_Body.Empty: Sends an empty body.\n\n Additionally, the following types are allowed as the `body` parameter:\n\n - Text: shorthand for `Request_Body.Text that_text`.\n - File: shorthand for `Request_Body.Binary that_file`.\n - Any other Enso object: shorthand for `Request_Body.Json that_object`.\n\n! Specifying Content Types\n\n If the `body` parameter specifies an explicit content type, then it is an\n error to also specify additional `Content-Type` headers in the `headers`\n parameter. (It is not an error to specify multiple `Content-Type` values in\n `headers`, however.)\n\n! Default Content Types\n\n The following specifies the default content type for each `Request_Body`\n type.\n\n - Request_Body.Text: `text/plain`\n - Request_Body.Json: `application/json`\n - Request_Body.Binary: `application/octet-stream`\n - Request_Body.Form_Data:\n If `url_encoded` is True: `application/x-www-form-urlencoded`\n If `url_encoded` is False: `multipart/form-data`\n - Request_Body.Empty: No content type is sent\n - Text: `text/plain`\n - File: `application/octet-stream`\n - Any other Enso object: `application/json`\n\n! Specifying Text Encodings\n\n Text encoding can be specified in the `encoding` parameter to the\n `Request_Body.Text` constructor. This value will be added to the\n `Content-Type` header.\n\n If a value for `encoding` is specified, but no value for `content_type` is\n specified, then `\"text/plain\"` is used as the content type.\n\n> Example\n Write a text string to an HTTP endpoint.\n\n import Standard.Base.Data\n response = Data.post url_post (Request_Body.Text \"hello world\")\n\n> Example\n Write JSON to an HTTP endpoint.\n\n import Standard.Base.Data\n json = Json.parse '{\"a\": \"asdf\", \"b\": 123}'\n response = Data.post url_post json\n\n> Example\n Write an Enso object to an HTTP endpoint.\n\n import Standard.Base.Data\n response = Data.post url_post (My_Type.Value 12)\n\n> Example\n Write a text string to an HTTP endpoint, with a specific text encoding.\n\n import Standard.Base.Data\n body = Request_Body.Text 'Hello World!' encoding=Encoding.utf_16_le\n response = Data.post url_post body\n\n> Example\n Write a text string to an HTTP endpoint, with a specific content type.\n\n import Standard.Base.Data\n body = Request_Body.Text 'a,b,c\\n' content_type=\"text/csv\"\n response = Data.post url_post body\n\n> Example\n Write the contents of a file to an HTTP endpoint.\n\n import Standard.Base.Data\n test_file = enso_project.data / \"sample.png\"\n response = Data.post url_post (Request_Body.Binary test_file)\n\n> Example\n Write a multipart form to an HTTP endpoint.\n\n import Standard.Base.Data\n test_file = enso_project.data / \"sample.png\"\n form_data = Map.from_vector [[\"key\", \"val\"], [\"a_file\", test_file]]\n response = Data.post url_post (Request_Body.Form_Data form_data)\n\n> Example\n Write a URL-encoded form to an HTTP endpoint.\n\n import Standard.Base.Data\n test_file = enso_project.data / \"sample.txt\"\n form_data = Map.from_vector [[\"key\", \"val\"], [\"a_file\", test_file]]\n response = Data.post url_post (Request_Body.Form_Data form_data url_encoded=True)",
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"name": "unix_epoch_start",
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{
"name": "date",
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"type": "type",
"module": "Standard.Base.Data.Time.Date_Time",
"name": "Date_Time",
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"documentation": " PRIVATE\n\nA date-time with a timezone in the ISO-8601 calendar system, such as\n\"2007-12-03T10:15:30+01:00 Europe/Paris\".\n\nTime is a representation of a date-time with a timezone. This class\nstores all date and time fields, to a precision of nanoseconds, and a\ntimezone, with a zone offset used to handle ambiguous local\ndate-times.\n\nFor example, the value \"2nd October 2007 at 13:45.30.123456789 +02:00 in\nthe Europe/Paris timezone\" can be stored as `Time`.",
"reexport": "Standard.Base.Main"
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"documentation": " GROUP DateTime\nObtains an instance of `Date_Time` from a year, month, day, hour, minute,\nsecond, nanosecond and timezone.\n\nArguments:\n- year: The year to represent, any Integer is valid.\n- month: the month-of-year to represent, from 1 (January) to 12 (December)\n- day: the day-of-month to represent, from 1 to 31 and must be valid for the\n year and month\n- hour: the hour-of-day to represent, from 0 to 23\n- minute: the minute-of-hour to represent, from 0 to 59\n- second: the second-of-minute to represent, from 0 to 59\n- millisecond: the millisecond-of-second to represent, from 0 to 999.\n- microsecond: the microsecond-of-second to represent, from 0 to 999,999.\n- nanosecond: The nano-of-second to represent, from 0 to 999,999,999.\n- zone: the timezone\n\nReturns a `Time_Error` if the provided time cannot be represented.\n\n> Example\n Create a new zoned date time at Unix epoch.\n\n from Standard.Base import Date_Time, Time_Zone\n\n example_new = Date_Time.new 1970 (zone = Time_Zone.utc)\n\n> Example\n Get the 5 August 1986 at midnight.\n\n from Standard.Base import Date_Time, Time_Zone\n\n example_new = Date_Time.new 1986 8 5",
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"type": "method",
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"documentation": " GROUP Metadata\nGet the nanosecond portion of the time.\n\nArguments:\n- include_milliseconds: Specifies if the whole fractional part of the\n second should be returned as nanoseconds. Defaults to `False`, meaning\n it will only return the nanosecond part in the range 0-999.\n\n> Example\n Get the current nanosecond.\n\n from Standard.Base import Date_Time\n\n example_nanosecond = Date_Time.now.nanosecond",
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"documentation": " Return the number of seconds from the Unix epoch start (1.1.1970)\n\nIf this Date_Time is before the epoch start, returns a negative number.\n\n> Example\n Get the current number of seconds from the Unix epoch.\n\n from Standard.Base import Date_Time\n\n example_epoch = Date_Time.now.to_unix_epoch_seconds",
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"annotations": []
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"documentation": " Returns the number of week of year this date falls into.\n\nProduces a warning for a Date that is before epoch start.\n\nArguments:\n- locale: the locale used to define the notion of weeks of year.\n If no locale is provided, then the ISO 8601 week of year is used.\n\n! Locale Dependency\n Note that this operation is locale-specific. It varies both by the\n local definition of the first day of week and the definition of the\n first week of year. For example, in the US, the first day of the week\n is Sunday and week 1 is the week containing January 1. In the UK on the\n other hand, the first day of the week is Monday, and week 1 is the week\n containing the first Thursday of the year. Therefore it is important to\n properly specify the `locale` argument.",
"annotations": []
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"documentation": " GROUP DateTime\nReturns if the date is in a leap year.\n\nProduces a warning for a Date that is before epoch start.",
"annotations": []
},
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"documentation": " GROUP DateTime\nReturns the number of days in the year represented by this date.\n\nProduces a warning for a Date that is before epoch start.",
"annotations": []
},
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"documentation": " Returns the century of the date.",
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},
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"documentation": " GROUP Metadata\nReturns the quarter of the year the date falls into.",
"annotations": []
},
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"documentation": " GROUP DateTime\nReturns the number of days in the month represented by this date.\n\nProduces a warning for a Date that is before epoch start.",
"annotations": []
},
{
"type": "module",
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"documentation": null,
"reexport": "Standard.Base.Errors"
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{
"type": "type",
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"documentation": " ALIAS group by, summarize\nGROUP Standard.Base.Calculations\nICON sigma\n\nAggregates the rows in a table using any `Group_By` entries in columns.\nThe columns argument specifies which additional aggregations to perform and to return.\n\nArguments:\n- columns: Vector of `Aggregate_Column` specifying the aggregated table.\n Expressions can be used within the aggregate column to perform more\n complicated calculations.\n- error_on_missing_columns: Specifies if a missing columns in aggregates\n should result in an error regardless of the `on_problems` settings.\n Defaults to `False`, meaning that problematic aggregate will not be\n included in the result and the problem reported according to the\n `on_problems` setting.\n- on_problems: Specifies how to handle problems if they occur, reporting\n them as warnings by default.\n\n! Error Conditions\n\n - If there are no columns in the output table, a `No_Output_Columns` is\n raised as an error regardless of the problem behavior, because it is\n not possible to create a table without any columns.\n - If a column index is out of range, a `Missing_Input_Columns` is\n reported according to the `on_problems` setting, unless\n `error_on_missing_columns` is set to `True`, in which case it is\n raised as an error. Problems resolving `Group_By` columns are\n reported as dataflow errors regardless of these settings, as a\n missing grouping will completely change semantics of the query.\n - If a column selector is given as a `Text` and it does not match any\n columns in the input table nor is it a valid expression, an\n `Invalid_Aggregate_Column` problem is raised according to the\n `on_problems` settings (unless `error_on_missing_columns` is set to\n `True` in which case it will always be an error). Problems resolving\n `Group_By` columns are reported as dataflow errors regardless of\n these settings, as a missing grouping will completely change\n semantics of the query.\n - If an aggregation fails, an `Invalid_Aggregation` dataflow error is\n raised.\n - Additionally, the following problems may be reported according to the\n `on_problems` setting:\n - If there are invalid column names in the output table,\n a `Invalid_Column_Names`.\n - If there are duplicate column names in the output table,\n a `Duplicate_Output_Column_Names`.\n - If grouping on or computing the `Mode` on a floating point number,\n a `Floating_Point_Equality`.\n - If when concatenating values there is an quoted delimited,\n an `Unquoted_Delimiter`\n - If there are more than 10 issues with a single column,\n an `Additional_Warnings`.\n\n> Example\n Group by the Key column, count the rows\n\n table.aggregate [Aggregate_Column.Group_By \"Key\", Aggregate_Column.Count]",
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