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Flatfile.","directories":{},"_nodeVersion":"22.16.0","dependencies":{"tsup":"^6.7.0","openapi-typescript-codegen":"^0.23.0"},"publishConfig":{"access":"public","registry":"https://registry.npmjs.org/"},"_hasShrinkwrap":false,"devDependencies":{"typescript":"^5.4.5"},"_npmOperationalInternal":{"tmp":"tmp/blueprint_0.0.15_1751254532709_0.06462363251522296","host":"s3://npm-registry-packages-npm-production"}}},"time":{"created":"2022-08-17T15:49:54.880Z","modified":"2026-04-23T23:54:12.311Z","0.0.1":"2022-08-17T15:49:55.203Z","0.0.2":"2022-11-29T20:56:20.483Z","0.0.3":"2022-12-01T19:01:11.791Z","0.0.4":"2022-12-29T18:42:24.403Z","0.0.5":"2023-01-23T22:17:01.863Z","0.0.6":"2023-02-02T17:06:36.387Z","0.0.7":"2023-03-01T18:58:33.786Z","0.0.8":"2023-03-29T20:01:14.339Z","0.0.9":"2023-05-19T22:45:04.512Z","0.0.10":"2023-12-14T14:52:17.157Z","0.0.12":"2024-03-27T21:32:41.293Z","0.0.13":"2024-04-04T02:55:18.192Z","0.0.14":"2024-04-25T17:07:44.635Z","0.0.15":"2025-06-30T03:35:32.865Z"},"description":"The universal DDL for defining data structures across Flatfile.","maintainers":[{"email":"sam@sarocu.com","name":"sarocu"},{"email":"me@david.gs","name":"dboskovic"},{"email":"me@alexjrock.com","name":"bangarang"},{"email":"carlbrugger@proton.me","name":"carlbrugger"},{"email":"infra@flatfile.io","name":"flatfileinfra"},{"email":"derek@flatfile.io","name":"flatderek"},{"email":"eric@flatfile.io","name":"bigcountrycrane"},{"email":"matthew.e.mccoy@gmail.com","name":"mmccooyyy"},{"email":"matthew.gerstman@obvious.ai","name":"matthew-obvious"},{"email":"nikolazaris@gmail.com","name":"nlazaris"},{"email":"lion.hummer@gmail.com","name":"lionhummer"},{"email":"alexpoddubny@googlemail.com","name":"apoddubn"}],"readme":"# Blueprint\n\n`@flatfile/blueprint` is the point of reference for working with customer-defined data structures in Flatfile. We have a lot of different data problems to solve for across different systems such as the DAL, Pipelines, Workbooks, Turntable, and the SDK.\n\n## Objectives\n\n- [ ] Describe any reasonable structure of data as defined by external systems\n- [ ] Inform underlying databases engines on how best to store and retrieve data\n- [ ] Inform rendering engines (such as tables or forms) on how best to render data points\n- [ ] Inform matching or AI systems of ontological classifications of data\n- [ ] Provide guidance to end-users that is specific to the data structure\n- [ ] Provide configuration for database driven validations\n- [ ] Report for analytics or future optimization purposes, what user or system defined hooks are running\n\n## Term Considerations\n\n- **Property** โ€” Describes an attribute of the entity (eg. name, email) and how it should behave.\n\n## Example Configuration\n\n```json\n{\n \"properties\": [\n {\n \"key\": \"code\",\n \"label\": \"Product Code\",\n \"type\": \"string\",\n \"description\": \"Unique identifier defining an individual product.\",\n \"constraints\": [\n {\n \"type\": \"unique\",\n \"config\": {\n \"caseSensitive\": false\n }\n }\n ],\n \"config\": {\n \"size\": \"tiny\"\n }\n },\n {\n \"key\": \"description\",\n \"type\": \"string\"\n },\n {\n \"key\": \"price\",\n \"type\": \"number\",\n \"config\": {\n \"decimalPlaces\": 2\n }\n },\n {\n \"key\": \"category\",\n \"label\": \"Product Category\",\n \"type\": \"enum\",\n \"multi\": true,\n \"config\": {\n \"allowCustom\": false,\n \"options\": [\n {\n \"value\": 9,\n \"label\": \"Kitchenware\",\n \"icon\": \"pots-and-pans\",\n \"color\": \"#f00000\",\n \"meta\": {\n \"product_code_prefix\": \"KI-\"\n }\n },\n\n {\n \"value\": 9,\n \"label\": \"Clothing\",\n \"meta\": {\n \"product_code_prefix\": \"CL-\"\n }\n }\n ]\n }\n }\n ]\n}\n```\n\n# Core Properties\n\nAll properties have the following options. If a property type ends with `[]` (such as `string[]`) it should be stored, retrieved, and presented as an array of unlimited size.\n\n| Option | Description | Default | Required? |\n| ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- | --------- |\n| `key` | The system name of this field. Primarily informs JSON and egress structures. | | โœ… |\n| `type` | One of `string`, `number`, `boolean`, `date`, `enum`, `reference`. Defines the handling of this property. | | โœ… |\n| `label` | A user-facing descriptive label designed to be displayed in the UI such as a table header. | `key` | |\n| `description` | A long form description of the property intended to be displayed to an end user. | | |\n| `constraints` | An array of system level Validation Rules meant to be applied after hooks are run. | `[]` | |\n| `config` | Configuration relevant to the type of column. See property documentation below. | `{}` | Sometimes |\n| `multi` | Will allow multiple values and store / provide the values in an array if set. Not all field types support arrays. | `false` | |\n| `meta` | Arbitrary object of values to pass through to hooks and egress | `{}` | |\n\n## `string` ๐Ÿงต _(default)_\n\nDefines a property that should be stored and read as a basic string. Database engines should expect any length of text to be provided here unless explicitly defined in the config.\n\n### Configuration Options\n\n- `size: enum(tiny, normal, medium, long)` โ€” How much text should be storeable in this field?\n - `tiny` = up to 255 characters\n - โžก`normal` = 64kb (default)\n - `medium` = 16mb\n - `long` = 4gb\n\n## `number` #๏ธโƒฃ\n\nDefines a property that should be stored and read as either an integer or floating point number. Database engines should look at the configuration to determine ideal storage format.\n\n### Configuration Options\n\n| Option | Description | Default |\n| --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |\n| `decimalPlaces` | The number of decimal places to preserve accuracy to. Overages should be automatically rounded with a warning. A hook can pre-format to accomplish floor or ceil. | `0` |\n\n## `reference` ๐Ÿ”—\n\n> **Warning**\n>\n> This is not comparable to a foreign key. There should be no specification of which column to reference by as it is multi-variate. A user may establish a relationship in mapping with a soft reference like a `company name`, once stored in our system we will reference by our internal IDs, and on egress we provide the known `system_id` if available.\n\nDefines a reference to another sheet. Links should be established automatically by the matching engine or similar upon an evaluation of unique or similar columns between datasets.\n\n### Configuration Options\n\n| Option | Description | Required? |\n| -------------- | --------------------------------------------------------------------------------------- | --------- |\n| `ref` | Full path reference to another sheet/table configuration. Must be in the same workbook. | โœ… |\n| `relationship` | The type of relationship this defines. Can be one of `has-many` or `has-one` | โœ… |\n\n## `enum`\n\nDefines an enumerated list of options for the user to select from. Matching tooling attempts to resolve incoming data assigment to a valid option. The maximum number of options for this list is `100`. For larger lists, users should use the `reference` or future `lookup` types.\n\n### Configuration Options\n\n| Option | | Description | Default | Required? |\n| ------------- | ------- | -------------------------------------------------------------------------------------- | ------- | --------- |\n| `allowCustom` | | Permit the user to create new options for this specific field. | `false` | |\n| `options[]` | | A list of valid options the user can select from | | โœ… |\n| | `value` | The value or ID of this option. This value will be sent in egress | | โœ… |\n| | `label` | A visual label for this option, defaults to value if not provided | | |\n| | `color` | An optional color to assign this option | | |\n| | `icon` | A reference pointer to a previously registered icon | | |\n| | `meta` | An arbitrary JSON object to be associated with this option and made available to hooks | | |\n\n## `boolean`\n\nA `true` or `false` value type. Matching engines should attempt to resolve all common ways of representing this value and it should usually be displayed as a checkbox.\n\n| Option | Description | Default |\n| -------------------- | ------------------------------------------------------------------------------ | ------- |\n| `allowIndeterminate` | Allow an indeterminate (`null`) option that is neither selected or unselected. | `true` |\n\n## `date`\n\nStore a field as a GMT date. Data hooks must convert this value into a `YYYY-MM-DD` format in order for it to be considered a valid value. Datetime should be a separate and future supported value as it must consider timezone.\n\n# Future Types\n\n1. Linked Property โ€” Populate this property with a value or values from a referenced table - data hooks can further transform. Should support filters.\n - Example 1: Show a readonly value on a `contact` based on the `country` of a linked `company`\n2. Rollup โ€” Use a datahook to sum or compute all the referenced values. Should support filtering.\n - Example 1: The `sum()` of all `items.price * items.quty` linked to an `invoice`\n - Example 2: The count of `deals` with `status: lost` linked to a `salesperson`\n3. Groups/Sets โ€” An arbitrarily named group of records that can either be merely grouped under a namespace or repeated similar to a relational set.\n - Example 1: List of `contact_methods` with a `type`, `value`, and `priority`.\n - Example 2: `address` group with `street`, `city`, ...\n4. Remote Lookup โ€” a type of field that relies on a datahook to return valid options instead of an enum list or a reference table.\n - Example 1: This field must be a valid flight number for the provided `city` and `date`. Users should be able to select from a list of valid flights when interacting with the cell.\n - Example 2: Global autocomplete for `address` entry. As you type, a set of suggestions appear in a dropdown.\n","readmeFilename":"README.md"}