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# fejkdata
Locale-aware fake data for tests and fixtures, generated from JSON templates. Use
it as a Go library or the CLI — no data on disk, no dependencies, and a seed makes output
reproducible.
```sh
go install github.com/larvit/fejkdata/cmd/fejkdata@latest
fejkdata sv_SE.person # Sara Eriksson
```
## CLI
```sh
fejkdata sv_SE.person # Sara Eriksson
fejkdata sv_SE.person.last # Eriksson
fejkdata --seed 42 sv_SE.address # the same address every run
fejkdata -n 3 --separator ', ' sv_SE.word # nät, barn, sol
fejkdata --list # every path the data offers
fejkdata 'misc.territory[SE].capital' # Stockholm — a table's row, selected by key or name
fejkdata 'geo.SE.locality[Lund].street' # Fjelievägen — a linked table, drawn inside the row
fejkdata --data-path ./mydata sv_SE.word # layer a directory over the shipped data
fejkdata --no-shipped-data -d ./mydata --list # only your data
fejkdata 'name: {/sv_SE.person.last}' # name: <a surname> — an inline template
fejkdata "{date(1990-01-01,2010-12-31,'2006-01-02')}" # 2003-11-27 — the argument in "…", the layout in '…'
fejkdata '{"format":"name: {x}","x":["bosse","lina"]}' # name: bosse or name: lina
```
A path names a category, or a field inside one: each dot segment descends one
level — folders, then the category (a JSON file), then fields — and `[SE]` after a
[table](#table) selects its row. An argument that is
a JSON object, array or string, or that carries a `{` token, is instead an
**inline template**: a format string or a JSON value compiled and rendered on the
spot. Its tokens reach the data by reference from the root —
`{/sv_SE.person.last}`, so shipped and `--data-path` categories are alike
available. A path never contains a brace or a quote, and a bracket only as a selector
after a name, so the two spellings cannot collide; which spellings an inline template
rejects, and what each names instead, is under
[Decisions](docs/decisions.md#an-argument-is-a-template-by-its-shape-not-by-a-flag).
| Flag | |
|------|--|
| `-d`, `--data-path D` | a directory to layer over the shipped data; repeatable, the last wins a name clash |
| `--no-shipped-data` | load only the `--data-path` directories |
| `-s`, `--seed N` | reproducible output |
| `-n`, `--repeat N` | render the value N times (up to 1048576), each an independent draw, streamed |
| `--separator S` | between repeated values (default a newline) |
| `--format F` | `text` (default), `json`, `ndjson`, `csv` or `sql` — a record's columns, one record per row (json frames them as an array) |
| `--table T` | the INSERT target for `--format sql` (default: the path's last segment, or `records` for an inline template) |
| `--list` | print every path, then exit |
| `--version`, `-h`, `--help` | print, then exit |
`--name value` and `--name=value` both work, a short flag's value attaches or
follows (`-n3`, `-n 3`) and short flags bundle (`-hn 3`) — see
[Decisions](docs/decisions.md#flags-follow-getopt_long); flags go anywhere, `--` ends them. Exit codes: `0` success, `1` runtime error (missing
dir, unknown path), `2` misuse — a bad flag, an argument that names neither a
template nor a path, or an inline template that does not compile. From a checkout:
`go run ./cmd/fejkdata …`.
### Your own data
A category is a JSON file in a directory. Save this as `mydata/sql.json`:
```json
{
"format": "INSERT INTO users VALUES({sql-username});",
"sql-username": {
"format": "'{username}'",
"repeat": 3,
"separator": "),(",
"username": ["pixelfox", "snork", "turbohund", "blip", "zoom", "wahoo"]
}
}
```
```sh
fejkdata --seed 1 --data-path ./mydata sql
# INSERT INTO users VALUES('zoom'),('wahoo'),('blip');
fejkdata --repeat 100 --data-path ./mydata sql > seed.sql
```
That `format` string is the free-form spelling — you hand-write the whole row.
For structured output a record writes the row for you.
### Records
A record is a template seen as columns: its fields are the columns, its `format`
the whole. `--format json|ndjson|csv|sql` writes the records; the library's
`FakeRecord` (below) hands back the columns. A column is a string unless it declares a
[datatype](#datatype), and a [`null`](#null) item draws it as null. Save
`mydata/users.json`:
```json
{
"format": "{first} {last}",
"first": ["Ada", "Bo"],
"last": ["Lovelace", "Ek"]
}
```
```sh
fejkdata --seed 1 --data-path ./mydata --format json users # [{"first":"Bo","last":"Lovelace"}]
fejkdata --seed 1 --data-path ./mydata --format ndjson users # {"first":"Bo","last":"Lovelace"}
fejkdata --seed 1 --data-path ./mydata --format csv users # first,last → Bo,Lovelace
fejkdata --seed 1 --data-path ./mydata --format sql users # INSERT INTO "users" ("first", "last") VALUES ('Bo', 'Lovelace');
fejkdata --seed 1 --data-path ./mydata --format sql --table people users # INSERT into another table
```
`--repeat` streams that many records — `json` frames them as one array document,
`ndjson` writes one object per line, `csv` a row after a header, `sql` one INSERT
per line. Only a category-level template is a record; a field, choice or folder
errors, and so does a `repeat` on
the template itself, which composes the format into one string rather than
projecting columns — ask for more records with `--repeat`. A `repeat` on a column
is fine.
Columns are written in name order, whatever order the fields appear in. A category
whose fields are the parts of one value — `sv_SE.price`, `sv_SE.version`, `misc.uuid` —
projects those parts rather than the value, so for one column holding what `Fake`
renders, write `{"format":"","price":"{/sv_SE.price}"}` as a fieldless category asks
for.
A column carrying a newline keeps it inside the quoted CSV field or the SQL string
literal, so a row can span physical lines: read the stream with a CSV or SQL
parser rather than splitting it on newlines.
The SQL is ANSI — identifiers in double quotes, a literal quote doubled (`''`),
backslashes passed through — so a hyphenated field like `postal-code` stays a
valid identifier. PostgreSQL and SQLite take it as written; MySQL and MariaDB need
`ANSI_QUOTES` and `NO_BACKSLASH_ESCAPES` set first, or they read `"users"` as a
string and a backslash as an escape.
A record written only to emit columns still needs a `format` — the grammar's one
required key — so `"format": ""` carries the fields with an inert format: it
renders nothing by `Fake`, and is compiled only so the tree's fences still run.
The columns are the point, and their facts stay together: a record is one render, so
columns that read a path into one category — `{/currency.code}` and
`{/currency.symbol}` — read one draw of it ([References](#references)), and a
[draw group](#draw-group) draws a column apart. That one draw is also why the columns of one
record may not overlap — `{/cat.a}`, or a bare `{/cat}`, beside
`{/cat.a.b}` is refused, naming the fields to write instead, as
[One draw, one spelling](#one-draw-one-spelling) refuses that pair inside a single
format. Both fences run at load, so a category that loads renders as either shape. A
category never references itself — `{/users.first}` or a bare `{/users}` inside `users`
describes a draw other than the fields beside it — so read a sibling as a path, and put
a value two fields share in its own category and reference that. A field hold, transform or
operand ties fields together within one column as always (see
[Correlated fields](#correlated-fields) and
[Decisions](docs/decisions.md#a-category-never-references-itself-and-a-records-fences-run-at-load)).
## Data
The shipped set under [`data/`](data) — one folder per locale (`en_US`, `sv_SE`)
plus a locale-neutral `misc` folder — is embedded, so the CLI and the library
work with no data on disk. A directory is a namespace: each JSON file is a
category named after the file, each subdirectory a dot-path segment, so
`mydata/sv_SE/person.json` is `sv_SE.person` and replaces the shipped one.
Sources merge in order; matching folders combine, any other clash is won by the
last loaded. Names may not use `.`, `|`, `(`, `{`, `}`, `[`, `]`, `"` or `/`, nor be
`-`, which a struct tag reserves; dot-prefixed entries are skipped, so a data directory can also be a checkout.
Each locale carries `address`, `color`, `company`, `date`, `email`, `first-name`,
`ip`, `last-name`, `person`, `phone`, `price`, `sentence`, `sex`, `time`, `url`,
`username`, `version` and `word`, formatted per locale; `sv_SE` adds
`personnummer` and `samordningsnummer`, `en_US` adds `ssn` and `itin`. `misc`
carries `car`, `coordinate`, `creditcard` (Luhn-valid), `currency` (ISO 4217),
`datetime` (RFC 3339), `emoji`, `httpmethod`, `httpstatus`, `language` (ISO 639-1,
with its 639-2/T code), `loglevel` (syslog severity), `mac`, `mimetype`, `objectid`,
`port`, `protocol`, `territory` (ISO 3166-1), `timezone` (IANA), `tld` (IANA root
zone), `useragent` and `uuid` (v4). Many carry sub-fields — `misc.currency.symbol`,
`misc.territory.alpha2`, `misc.httpstatus.code` — which `--list` shows. `car`,
`currency`, `httpmethod`, `httpstatus`, `language`, `loglevel`, `mimetype`, `port`,
`protocol`, `territory`, `timezone`, `tld` and `useragent` are [tables](#table), so
`misc.territory[SE].capital` and `misc.currency[Euro].symbol` select a row; `car` and
`useragent` carry no key or name, so they are drawn from rather than selected in.
Where a script under [`data-import/`](data-import) reads a source, the facts come from
it, and it drops a source row only by a rule it states; elsewhere a small hand-written
set ships, and [`todo.md`](todo.md) carries the step that replaces it (goal 12). Copy
that states no fact, such as `word` and `sentence`, stays hand-written. Where a category
has no path that draws only values reaching nothing real (goal 14), pin a value such as
`example.com`; `todo.md` plans the path.
`misc.httpmethod`, `misc.protocol` and `misc.port` are IANA's registries.
`misc.httpmethod` is the eight methods RFC 9110 defines and PATCH; the register's
other entries, WebDAV and DeltaV among them, do not ship. Its `safe` and
`idempotent` are `true` or `false`, so a Go `bool` reads them, though `--format json`
and `sql` write them as text, a table column carrying no datatype. `misc.protocol`
carries a `number` and a `name`, the keyword itself where the register spells none out,
and selects by either spelling.
`misc.port` is the TCP assignments, rendering the number a port field holds with the
IANA `service` beside it, and selecting by number alone. A draw spans the whole
register, so pin `misc.port[443]` where a fixture needs a port a reader recognises;
it stops at 49150, IANA assigning nothing above, so an ephemeral source port is
`{int(49152,65535)}`.
`misc.tld` is the root zone's delegated TLDs, keyed with the leading dot
`misc.territory.tld` already carries, `.se`. Its `type` is the register's —
`country-code`, `generic`, `generic-restricted`, `infrastructure` or `sponsored` — and
its `unicode` the form the register displays, `.рф` for `.xn--p1ai` and the key itself
for an ASCII one, which selects the row too, so `misc.tld[.рф]` renders `.xn--p1ai`. A
draw spans the whole zone, `.arpa` and `.zuerich` alike, so pin `misc.tld[.com]` where
a fixture needs one a reader recognises.
`misc.loglevel` is the eight syslog severities, rendering the keyword a configuration
writes, `err` and `info`, keyed by the numerical code a PRI encodes and selectable by
either, so `misc.loglevel[3]` and `misc.loglevel[err]` are one row.
`misc.loglevel.severity` is the name RFC 5424 spells, `Error` beside `err`; it
selects nothing, the code and the keyword do.
[`DATA-LICENSES.md`](DATA-LICENSES.md) names each table's source and licence.
`misc.timezone` is every zone tzdb gives a shipped territory, from one apiece for most
of them to dozens for the largest, weighted by the population GeoNames records in each,
so `misc.territory[US].timezone` draws `America/New_York` far more often than
`America/Nome`. It links to `misc.territory`, so `misc.territory[SE].timezone` is
`Europe/Stockholm` and a drawn territory and zone agree. Its `offset` is the zone's
*standard* offset, so do not pair it with a drawn `misc.datetime`: in a zone that
observes DST it is the wrong one half the year, which is what storing a zone name
avoids. A zone tzdb named recently — `Europe/Kyiv`, `America/Ciudad_Juarez` — is
rejected outright by a consumer resolving it against older tzdata, so where the
consumer validates the zone, pin one rather than draw it. There is no `UTC` row, tzdb
giving that name no territory — spell it as the text `"UTC"`. `misc.useragent` carries
`browser`, `device` and `os` beside the string, and `misc.car` a `make` and a `model`,
until an international source replaces them.
ISO 3166-1 codes territories, not sovereign states, so that is what the table is
called: Greenland and Åland have codes of their own, and `misc.territory.country`
names the state each belongs to — `DK` for Greenland, `FI` for Åland, and its own
code for a sovereign one, or for one the register names no state for.
`sex`, `first-name` and `last-name` are tables weighted by bearers, from SCB, the
SSA and the Census Bureau. `first-name` links to `sex`, so `sv_SE.sex[f].first-name`
draws a woman's name, and a name both sexes carry is a row under each, so
`en_US.sex[m].first-name[Taylor]` names the one a `first-name[Taylor]` alone cannot.
`person` reads one draw of the three, so its `first` and `sex` columns agree, and so
does a `personnummer` in the same render: its birth number, `sv_SE.birth-number`
under `sex`, is Skatteverket's test series, 238 for a woman and 239 for a man, which no
real person is ever given. `en_US.title` links to `sex` too, so a person's prefix
never contradicts it.
A person of a chosen sex is assembled from the tables — `sex[f].first-name` beside
`last-name` — while a shipped `personnummer` agrees with the sex its own render
*drew*, not with one a path selects. That test series is also small: a personnummer
is one of about 70,000 values, a day in 1930–2025 against the two birth numbers, so a
fixture past a few hundred rows repeats one and a `UNIQUE` column needs a category of
your own. `sv_SE.date` and `en_US.date` are uniform over 1970-01-01 to 2029-12-31,
`misc.datetime` over 2000-01-01 to 2029-12-31. What the two locales do not share:
`en_US.address` carries a `region` column the Swedish one has no use for, and
`sv_SE.title` has no `parent`, so it is selected as `sv_SE.title[dr]` rather than
inside a sex.
A `geo` folder holds one tree per country under its alpha-2 code: five
[linked tables](#linked-tables) named alike, and an `address` record over one
consistent draw of them, which the locale's `address` reads.
| Table | `geo.SE` | `geo.US` | Weight |
|-------|----------|----------|--------|
| `region` | län, by code or name | state, by USPS abbreviation or name; `code` is the FIPS code | population |
| `municipality` | kommun, by code or name | county, by FIPS code or name | population |
| `locality` | postort, by name | incorporated place of 25,000 people or more with a postal code of its own, by GEOID or name; Hawaii has none | tätort population, the kommun's where the postort names it, else 200; place population |
| `postal-code` | postnummer with street delivery, by code | ZCTA, by code | one; address ranges |
| `street` | gatunamn, the ten with most road segments per postort | street name, the ten with most address ranges per place | segments; address ranges |
`geo.SE.region[Skåne län].municipality` draws a kommun in Skåne,
`geo.SE.locality[Lund].street` a street in Lund, and
`geo.US.region[IL].locality[Springfield]` settles which Springfield. A region row
carries its `timezone`, the state's predominant zone, and a locality its `lat` and
`lon`. What ports across countries is the five table names, the `name` column,
selection by name, and the `address` record's columns `street`, `street-number`,
`postal-code` and `locality`; every other column is the country's own, `code` on a
Swedish region but `abbr` on a US one.
## Library
```sh
go get github.com/larvit/fejkdata # Go 1.22+
```
```go
f, err := fejkdata.New(fejkdata.WithSeed(42))
if err != nil {
log.Fatal(err)
}
v, err := f.Fake("sv_SE.address") // "Järvedsvägen 43\n891 77 Järved"
paths := f.List() // the paths Fake renders, sorted; direct descents only
v, err = f.FakeTemplate("name: {/sv_SE.person.last}") // compile + render in one call
t, err := f.NewTemplate(`{"format":"name: {x}","x":["bosse","lina"]}`) // compile once
v = t.Fake() // render many times, no re-parse
r, err := f.FakeRecord("users") // one record: each field a column
s := r.JSON() // {"first":"Ada","last":"Lovelace"}
r, err = f.FakeRecordTemplate(`{"format":"{x}","x":["a","b"]}`) // compile + render inline
err = f.FakeStruct(&user) // fill a struct's fake:"…" tagged fields
ok, err := fejkdata.IsTemplate(arg) // an inline template by its shape, else a path
```
| Option | |
|--------|--|
| `WithSeed(n)` | same seed, same data: identical sequence |
| `WithDataPath(dir)` | layer a directory; repeat to layer several, the last wins a clash |
| `WithDataFS(fsys)` | layer an `fs.FS`, such as your own `embed.FS` |
| `WithoutShippedData()` | load only what you give |
`New` refuses a mistake in the data, and `NewTemplate` one in the template. On a loaded
generator:
- `Fake` fails only for a path that names nothing or could name two things, with the
same error every call.
- `FakeStruct` fails only for a non-struct argument or a type its tags do not describe,
with the same error every call.
- `Template.Fake` cannot fail.
A `*Record` carries its columns via `Columns()` — each a `Column` of `Name`,
`DataType`, rendered `Value` and `Null` — and serializes them with `JSON()`
(one object), `CSVHeader()`/`CSVLine()`, or `SQLInsert(table)` — the shapes the
CLI's `--format` writes. `FakeRecord` and `FakeRecordTemplate` take a record; a
path or template that is not one — a bare string, a choice, or a folder — errors.
```go
type User struct {
ID int64 `fake:"{seq()}"`
Last string `fake:"sv_SE.person.last"`
Age uint8 `fake:"{int(18,99)}"`
Nick *string `fake:"[null, \"{/sv_SE.username}\"]"`
Home Address // filled from Address's own tags
}
```
`FakeStruct` fills a struct through a pointer: each exported field tagged `fake:"…"` is
a column of one record, its tag a path or an inline template — told apart by
`IsTemplate`, as the CLI tells an argument — and its Go type the column's
[datatype](#datatype): a string, bool, integer or float kind, or a pointer to one,
which a [`null`](#null) item leaves nil. An integer stays within int64 whatever its
kind, and a value the kind cannot hold, such as `{int(0,300)}` in a `uint8`, is refused
naming a kind that holds it. The fields an embedded struct promotes are columns of the
same record; a named struct field, or a pointer to one, fills from its own tags as a
record of its own, so its references draw apart from its parent's. `fake:"-"` leaves a
struct field, embedded or named, or a pointer to one, unfilled. Untagged fields keep
their values, and so does a pointer back to a struct already being filled; a type
whose fields reach more than 1024 structs is refused, naming `fake:"-"` to cut it. The
first call for a type compiles its tags and reports what they get wrong, with the same
error on every later call; a `datatype` in a tag names the Go type that already sets it.
A `*Generator` is safe for concurrent use; a seeded sequence is reproducible only
when drawn from one goroutine. Changing how a value is composed shifts the seeded
stream for that value and everything drawn after it.
## Data format
Every value is a **node**, nestable without limit:
| Node | JSON | Renders |
|------|------|---------|
| string | `"Malmö"` | its text, with any `{…}` tokens expanded |
| choice | `["a", "b", …]` | one item, picked at random |
| template | `{"format": "…", …}` | its format, with `{name}` tokens rendering the named fields |
| table | `{"format": "…", "rows": "x.tsv", …}` | its format over one row of the TSV beside it ([Table](#table)) |
### Format string
Every character is literal except a `{…}` token:
| Token | Renders |
|-------|---------|
| `{name}` | the sibling field `name` |
| `{name.field}` | `field` of one draw of `name` ([Correlated fields](#correlated-fields)) |
| `{a\|b}` | one of the named fields, even odds |
| `{fn(args)}` | a builtin ([Functions](#functions)) |
| `{/path}`, `{.path}`, `{..path}` | a node reached from the data root, this file's folder, or the folder above ([References](#references)) |
| `{{`, `}}` | a literal `{` or `}` |
```json
"100 Main St, Apt {int(1,9)}{upper(1)} — tel {digits(3)}-{digits(4)}"
```
Renders e.g. `100 Main St, Apt 4B — tel 555-0199`. Random characters come from
the sample functions, so a phone pattern is `070-{digits(3)} {digits(2)} {digits(2)}`.
A lone `}` is a load error naming `}}`; the arms of `{a|b}` must differ, a
repeated arm being a second spelling of [weight](#weight).
### Weight
An item of a choice may carry a `weight` (default `1`) to skew its odds:
```json
[
{ "format": "070-{digits(3)} {digits(2)} {digits(2)}", "weight": 10 },
"08-{digits(3)} {digits(2)} {digits(2)}",
{ "format": "010-{digits(3)} {digits(2)} {digits(2)}", "weight": 2 }
]
```
Renders `070-412 38 91` ten times as often as `08-…`. A string item is weighted by
writing it as `{ "format": "AB", "weight": 3 }`. Rejected at load: a weight that
is negative, non-numeric, `0` (never drawn — remove the item), `1` (the default)
or outside a choice, and a repeated item — `["a", "a", "b"]` is `[{ "format": "a", "weight": 2 }, "b"]`,
and the error says so.
### Repeat
A template may carry `repeat` (an integer above `1`) to render its format that
many times — each an independent draw — joined by `separator` (default `""`):
```json
{ "format": "{word}", "repeat": 3, "separator": " ", "word": ["foo", "bar", "baz"] }
```
Renders e.g. `bar foo baz`. Rejected at load: a `separator` without a `repeat`,
a `separator` of `""` (the default), and a `repeat` that multiplies to more than
1 048 576 renders along any path of nested repeats.
### Datatype
A record column may declare `datatype` — `integer`, `number` or `boolean` — so `json`
writes `42` rather than `"42"` and `sql` a bare literal; a column without one is a
string:
```json
{ "format": "",
"id": { "format": "{seq()}", "datatype": "integer" },
"paid": { "format": "{p}", "p": ["true", "false"], "datatype": "boolean" },
"total": { "format": "{calc(net * qty, 2)}", "net": ["19.99", "5.00"], "qty": ["3", "7"], "datatype": "number" } }
```
Writes e.g. `{"id":1,"paid":true,"total":59.97}`. A column is a field of the top-level
template, or an item of a choice standing in for one; `datatype` anywhere else is a
load error. A typed column holds one value, alone in its format: a literal, one
`{int()}`, `{float()}`, `{seq()}` or `{calc()}` call, or a read that lands only on such
values. `integer` is an int64 written `0|-?[1-9][0-9]*` — `{float()}` prints one at
`0` decimals within int64 — `number` a JSON number, `boolean` `true` or `false`. A value its
datatype cannot hold is a load error naming it:
```text
order.id: datatype integer: {digits(3)} prints text, not an integer
order.id: datatype integer: "1{digits(2)}" is not one value; write one literal or one {float()}, {int()}, {seq()} or {calc()}, or read one
```
A column of one reference alone to another record's column — `"score": "{/src.score}"`
— is that column: it takes the column's datatype and is null where the column is, and
a struct field tagged `src.score` is nil there. A `datatype` of its own types the
column's values where they prove it, and one restating the datatype it takes is refused.
Any other read renders the column's text, a null as `""`.
A typed column's `{calc()}` must be proven to print a number: each operand a number
literal, an `{int()}`, `{float()}`, `{seq()}` or `{digits()}` call, a calc, or a read of
such values, whose bounds keep every divisor from zero and the result within `1e300`.
What the bounds cannot show is refused — `{calc(a / b)}: divides by b, which is not
proven nonzero`. The calc fills an `integer` column at `0` decimals, or over whole
operands with no `/`, while its bounds stay within int64.
### Null
A `null` item draws a record column as null: `json` writes `null`, `sql` `NULL`, and
`csv` an empty field, with an empty string written `""` — the convention PostgreSQL's
`COPY … CSV` reads. A record of one null column is a blank line, which `COPY` reads as
null but most CSV readers skip, so write such a record as `json` or `sql`. `Fake`
renders a null as `""`. The other items' weights skew its odds:
```json
{ "format": "", "deleted_at": null, "middle": [null, { "format": "{n}", "n": ["Ann", "Eva"], "weight": 3 }] }
```
`deleted_at` is null every draw, `middle` a name three draws in four. Rejected at
load: `null` anywhere but a column, naming `""`, and a column whose items hold
different datatypes.
### Table
A table is a category whose rows come from a TSV beside its JSON file: the header
names the columns, each line below it is one row, and the format renders the row
drawn. Save `mydata/country.tsv` and `mydata/country.json`:
```tsv
alpha2 name population
DK Denmark 5900000
NO Norway 5500000
SE Sweden 10500000
```
```json
{ "format": "{name} ({alpha2})", "rows": "country.tsv", "key": "alpha2", "name": "name", "weight": "population" }
```
```sh
fejkdata -d ./mydata country # Sweden (SE), about half the time
fejkdata -d ./mydata country.alpha2 # NO
fejkdata -d ./mydata 'country[SE]' # Sweden (SE)
fejkdata -d ./mydata 'country[Norway].alpha2' # NO
fejkdata -d ./mydata --format csv country # alpha2,name,population → SE,Sweden,10500000
```
`rows` names the TSV beside the category file; `key` names the column a path
selects a row by, `name` a column it also selects by, `weight` a column of positive
numbers that skews the draw, and `parent` the table a column links to
([Linked tables](#linked-tables)). The format's `{tokens}` read the columns, and the
columns are the [record](#records)'s columns, so `--format csv` writes the rows and
`--list` shows `country.alpha2`. A cell is a string node: `1{digits(2)} {digits(2)}`
in a cell draws digits and `{/misc.uuid}` reads a reference, while `{name}` in a cell
is refused, since a cell has no sibling. Each cell may select its own row of another
table, `{/misc.currency[SEK].symbol}` on one row and `{/misc.currency[EUR].symbol}`
on the next, since only one row renders. `New` proves the header, the options and every
cell token, and refuses a TSV no category names, a key that is empty or repeats, a
weight that is not a positive number, and a key or name holding `[`, `]`, `{`, `}`,
`"` or `|`, which a selector cannot spell; `New` maps the keys, and a name or parent column
is mapped on the first draw that selects by name or descends through the table. A `name` needs a `key`, since a name naming several rows is reported by
their keys, or a `parent`, inside whose row a name names one row, so `first-name[Kim]`
is settled by the `sex` selected before it and a name repeating inside one parent row
is refused; a name spelling another row's key is refused, since the key would
select first and the name never. The table's options are its own — `rows`, `key`,
`name`, `weight` and `parent` — so a column may be named `name`, as one usually is.
A choice of templates sharing one format and one set of string fields is a table
written by hand, and `New` refuses it in a data file naming the TSV to write; an
inline template has no file beside it, so there it stays a choice.
### Row selection
`[key]` or `[name]` after a table's name selects one row: `misc.territory[SE]` and
`misc.territory[Sweden]` name one row, and `misc.territory[SE].capital` reads its column.
A name naming several rows is an error listing their keys, unless a row selected
before it settles which ([Linked tables](#linked-tables)). A selector is part of the path, so it works
wherever a path does: `Fake`, `FakeRecord`, a `{/misc.territory[SE].capital}` reference
and a struct tag. A dot inside the brackets belongs to the key or name, so
`city[St. Louis]` selects it. A path starts with a name, and `[` still opens a JSON
array at the start of a CLI argument, so `'[SE]'` alone names nothing.
### Linked tables
A table's `parent` names a column and, by the same name, the table beside it that the
column links to by key. Save `mydata/city.tsv` and `mydata/city.json` beside the
`country` table above:
```tsv
name country population
Copenhagen DK 660000
Göteborg SE 600000
Oslo NO 710000
Stockholm SE 990000
```
```json
{ "format": "{name}", "rows": "city.tsv", "key": "name", "parent": "country", "weight": "population" }
```
```sh
fejkdata -d ./mydata 'country[SE].city' # Stockholm or Göteborg
fejkdata -d ./mydata country.city.name # a country drawn, then a city inside it
fejkdata -d ./mydata 'city[Oslo].country' # NO — the link column's cell
fejkdata -d ./mydata '{/city.name}, {/country.name}' # Oslo, Norway — one consistent draw
```
A path descends from a row to a linked table by name, at any depth, and `--list`
advertises each direct step. Within one render and [draw group](#draw-group), linked
tables agree: the first table a reference path reads pins its ancestors, and a
descendant read after it is drawn inside them, so `{/city.name}` and
`{/country.name}` are a city and its country whichever is read first. A selected row
pins the render the same way, so every reference path into one family of linked
tables in one render and group selects the same rows: one that selects none beside
one that does is refused naming the spelling that does, `{/country[SE].city.name}`
beside `{/country[SE].name}`, and two selecting different rows are refused naming a
`drawGroup` to draw them apart in. A bare `{/city}` beside a path into its family is
refused too, since a bare reference draws each time, and so is a path that draws a
table another path in the group selects a row of, `{/city.name}` beside
`{/country[SE].name}`, which the first token rendered would otherwise decide. `New`
also refuses a link cell that is no key of the parent, a parent row no child links
to, a chain of parents that closes, a table named like a column of any table above
it, and a cell or format of a table that references a table of its own family, through
any template, a `repeat` or a `drawGroup` included, since a bare read of the referencing
table draws its row without pinning it, so the family would draw apart from that row:
read the family from a template beside it, or add the value as a column. A cell's
reads are the render's too, weighed against every read that renders with them. A
reference renders one row of a table, so reads in cells of different rows of it, or of
different rows of their ancestors, never render together, whether `[key]` selects the row
or the reference draws it.
### Options and fields
`format`, `weight`, `repeat`, `separator`, `datatype` and `drawGroup` are the only options;
**any other key is a field** (see [Decisions](docs/decisions.md#options-and-fields-share-one-namespace)), and `rows` makes a category
a [table](#table), so no template carries a field of that name. An object that does nothing a
string can't — only a `format` — is rejected naming the string, as is a one-item
choice naming its item.
### Functions
A `{name(args)}` token calls a builtin. Arguments are checked at `New`: a bad
count, range, country or expression fails fast; an integer is written plain
(`5`, not `+5` or `05`); bounds are finite; a sample that could only ever emit one
value (`int(5,5)`, `float(1,1,2)`) is rejected naming the text to write instead;
and a length, count or decimal place beyond a sane maximum is rejected, so a
fat-fingered `hex(2000000000)` never tries to allocate gigabytes. Every builtin draws only from the seed — a
time-based id takes its timestamp from the rng, not the clock — so seeded output
stays reproducible.
| Function | Kind | Renders |
|----------|------|---------|
| `{luhn()}` | derivation | Luhn check digit over the digits emitted so far in this expansion |
| `{mod11()}` | derivation | weighted mod-11 check char (weights 2–7 from the right); `X` for 10 |
| `{ean()}` | derivation | EAN-13 / UPC-A / ISBN-13 / GTIN check digit |
| `{digits(n)}` | sample | `n` digits 0–9 |
| `{upper(n)}`, `{lower(n)}` | sample | `n` letters A–Z, a–z |
| `{int(min,max)}` | sample | uniform integer in `[min, max]` |
| `{float(min,max,dp)}` | sample | number in `[min, max]` with `dp` decimals |
| `{hex(n)}` | sample | `n` lowercase hex digits |
| `{base64(n)}` | sample | `n` random bytes, base64 |
| `{uuid()}` | sample | UUID v7 (`misc.uuid` ships v4 as data) |
| `{ulid()}` | sample | ULID, 26 Crockford base32 chars |
| `{nanoid(n)}` | sample | URL-safe Nano ID, `n` chars |
| `{iban(CC)}` | sample | length- and mod-97-valid IBAN for BE, DE, DK, ES, FI, NO or SE |
| `{date(from,to,'layout')}` | sample | a second between two `YYYY-MM-DD` days, both included, in a quoted Go layout: `'2006-01-02'`, `'January 2, 2006'`, `'060102'`, `'2006-01-02T15:04:05Z'` |
| `{time('layout')}` | sample | a second within a day: `'15:04'`, `'3:04 PM'` |
| `{seq()}`, `{seq(name)}` | counter | next integer from 1 in this generator; `name` selects an independent counter |
| `{calc(expr)}`, `{calc(expr,dp)}` | computation | an arithmetic expression over sibling fields ([Computation](#computation)) |
| `{lowercase(x)}`, `{uppercase(x)}`, `{ascii(x)}` | transform | a field's value rewritten ([Transforms](#transforms)) |
A derivation reads what is to its left, so place it after its payload; the
buffer is per expansion, so a nested template keeps fixed parts out of the sum. A
Swedish personnummer is a Luhn checksum over the nine digits before it, six of
them a birthdate:
```json
{ "format": "{date(1930-01-01,2010-12-31,'060102')}-{birth}{luhn()}", "birth": ["238", "239"] }
```
Renders e.g. `811218-2389`. A layout is Go's: the reference time `Mon Jan 2
15:04:05 MST 2006` spelled as the output should look, quoted, since a layout may
carry the comma that separates arguments, with English names. Every second
between the two days is reachable, so a layout with a clock draws the time too, and
`from` may equal `to`, which is that one day. The instant is UTC, so a zone in the
layout prints `UTC` or `Z`.
The quotes delimit a layout outside a selector only, so `[O'Fallon]` in an
argument stays a name. Rejected at `New`: a bound that is no calendar date, or not
before the other; an unquoted layout, naming the single-quoted one; a layout naming no field, which is
text, as is one day in a layout with no clock; for `date` a layout naming no date
field, naming `time`; and for `time` a layout naming a date field, naming `date`. `{seq()}` spans `Fake`
calls and `repeat`, resets with a new generator, and is the natural primary key for
the SQL example above.
### Computation
`{calc(expr)}` evaluates `+ - * /`, parentheses and unary minus over number
literals and sibling field names, each rendered then read as a number; a second
argument rounds to that many decimals. A hyphen is always subtraction, so a
hyphenated field can't be an operand.
```json
{ "format": "{net} x {qty} = {calc(net * qty, 2)}", "net": ["19.99", "5.00"], "qty": ["3", "7"] }
```
Renders e.g. `19.99 x 3 = 59.97`. A result that rounds to zero prints unsigned — `0`,
`0.00` — as `{float()}`'s does. An operand that can never be a number (`"abc"`,
or a choice of such) is rejected at load, as is a division by a constant zero
(`1/0`, or a fixed `"0"` field); an operand that sometimes is not a number yields
`NaN`, and a division by one that is not constant `Inf` — both print rather than
fail, except in a [typed column](#datatype), which must prove neither happens.
### Transforms
`{lowercase(x)}`, `{uppercase(x)}` and `{ascii(x)}` rewrite the value of `x` — a
field, a path or a `..path` — and nest. `ascii` folds Latin letters (`Åsa Öberg`
→ `Asa Oberg`) and drops any other non-ASCII rune. `x` is held
([One draw, one spelling](#one-draw-one-spelling)), so an email built from a name
matches the name beside it:
```json
{ "format": "{p.first} {p.last} <{lowercase(ascii(p.first))}.{lowercase(ascii(p.last))}@example.com>",
"p": [
{ "format": "{first} {last}", "first": "Åsa", "last": "Öberg" },
{ "format": "{first} {last}", "first": "Bo", "last": "Ek" }
] }
```
Renders `Åsa Öberg <asa.oberg@example.com>` or `Bo Ek <bo.ek@example.com>`, never
a mix.
### References
A reference renders a node from elsewhere in the data — the path `Fake` takes,
across every loaded source — so one category borrows another. The sigil says
where the path starts, as in a filesystem: `{/en_US.person}` from the data root,
`{.username}` from the folder this file sits in, `{..username}` from the folder
above. `data/sv_SE/email.json` can therefore read its own locale's `username`
without naming `sv_SE`:
```json
"Hej, {/en_US.person}!"
```
Renders e.g. `Hej, Pat Smith!`. A reference path into a category is held like a
[correlated](#correlated-fields) path, but for the whole render — one `Fake`, or one
record — rather than one format: `{.person.first} {.person.last}` name one
person, as do the same two references in sibling fields or a nested template, and
`{lowercase(.person.first)}` reads that same draw. Each `repeat` iteration is
a render of its own, in no group, so it draws anew, and a [draw group](#draw-group) holds a
draw apart. A bare reference names no field and makes its own picks each time —
`{/misc.uuid} {/misc.uuid}` is two draws — while the reference paths inside what it
renders still read the render's draws. Rejected at `New`: a path that is
unknown, names a folder, has no folder above, reads a field not every variant
of a choice carries, or names the category the reference sits in, and a reference
that leads back to its own value, directly, mutually or through a chain.
### Draw group
A template may carry `drawGroup` to hold its reference draws apart: every reference path
it renders, however deep short of a `repeat` or a nested `drawGroup`, reads the draw of
that group, and the templates of one category naming one group in one render read one
draw. A name is local to its category, so a category another one references never joins
its groups by name; the unnamed group spans them all.
```json
{ "format": "{payer} pays {payee}; signed {signature}",
"payer": { "format": "{/sv_SE.person.first} {/sv_SE.person.last}", "drawGroup": "payer" },
"payee": "{/sv_SE.person.first} {/sv_SE.person.last}",
"signature": { "format": "{/sv_SE.person.last}", "drawGroup": "payer" } }
```
Renders e.g. `Sara Eriksson pays Ebba Lind; signed Eriksson`: the signature reads the
payer's draw, while the payee is drawn apart. Rejected at load, each naming nothing: a
`drawGroup` of `""` (the default); one naming the draw group its template already draws
in; one on a template that renders no reference path — a bare reference to a
[table](#table) counts, since the group answers for the family it draws in — short of a
`repeat` or a nested `drawGroup`, on a `repeat` itself — each iteration renders in no
draw group — or on an inline template's root, which nothing references. So is a path
reading into a level that carries a `drawGroup`.
### Correlated fields
`{name.field}` reads a path into a sibling, which holds the sibling to one draw
([One draw, one spelling](#one-draw-one-spelling)), so several tokens read one
row — a locality and the postal code that really covers it:
```json
{ "format": "{street} {int(1,99)}\n{place.postal-code} {place.locality}",
"street": ["Kungsgatan", "Storgatan"],
"place": [
{ "format": "{locality}", "locality": "Stockholm", "postal-code": "1{digits(2)} {digits(2)}", "weight": 975 },
{ "format": "{locality}", "locality": "Tranås", "postal-code": "573 {digits(2)}", "weight": 18 }
] }
```
Renders e.g. `Kungsgatan 35` / `176 99 Stockholm`, never a Stockholm code beside
Tranås; each row's `weight` says how often it appears. A path is held at every
level it passes through: `{p.geo.town.name} {p.geo.town.zip}` share the town.
Every variant of a choice on the path must carry the rest of it, so a row missing
a field is named at load:
```text
token {place.postal-code}: field "place": not every variant of this 2-way choice carries "postal-code"; all carry [locality]
```
The sub-fields stay addressable — `Fake("address.place.locality")` renders, and
`List` advertises it. A path may not read into a level carrying a `repeat`.
### One draw, one spelling
A name any token reads as a path (`{p.first}`) or as an operand (`{calc(net * 2)}`,
`{uppercase(w)}`) is drawn **once per expansion**, a reference path (`{/cat.p.first}`)
**once per render** in its [draw group](#draw-group), and every other route to either — a bare
`{p}`, a second bare `{w}`, `{/cat.net}`, a nested template rendering `{/cat.p.last}`
beside `{p.first}`, a bare `{/cat}` beside `{/cat.p.first}`, at any
depth — is a load error naming the spelling to use. A name nothing reads that way is
drawn each time: `{word} {word}` differs. An expansion is one render of one format, so
each nested template draws its own names again; a render is one `Fake` or one record,
and each `repeat` iteration is an expansion and a render of its own.
```text
token {p} renders a level that {p.first} reads a path into; name the fields you want instead
token {w} is repeated, and uppercase operand "w" holds "w" to one draw per expansion; write {w} once
```
### Performance
The target is about a microsecond per value (goal 11).
Each file is parsed, validated and weight-indexed once, in `New`, bar a table's name and
parent columns, which are mapped on the first `Fake` that selects by name or descends
through it. Proving the draw fences adds a pass over the loaded tree per
fence, and walks what a render reads only where data binds a reference, so a set that
binds none pays for the passes alone. A `Fake` call then costs about what its output
costs: an unweighted pick is O(1) whatever the list's length, a weighted one
O(log n), and long formats, deep nesting and many tokens add cost in proportion to
the output.
## Versioning
Semver tags on `main`, `v0.1.0` first; one version covers the shipped data, the
library and the CLI, and [`CHANGELOG.md`](CHANGELOG.md) names what each release
changed. A consumer's data, code and scripts keep working across a minor or a patch:
a minor only adds, and a major is the only release that changes what exists.
| Surface | Major | Minor |
|---------|-------|-------|
| Shipped data | remove or rename a path; change a category's format; remove a value, or change a weight or a repeat; add a reference from one shipped category into another; change a table's key, name, weight or parent column, or remove a row | a path outside a record's columns, a locale, a value in a list, a row |
| Records (a table is one) | remove, rename, retype or add a column; let a column be null | a record, as a new category |
| Data format | a fence: a spelling `New` rejects that it accepted; a template option, since it reserves a field name | a builtin |
| CLI | remove or rename a flag, or change its default; change what an exit code means; change the framing a `--format` writes (header, quoting, statement shape), the `--list` layout, or what an error names | a flag, a format |
| Library | change or remove an exported name; raise the lowest supported Go | an exported name, a `With…` option |
A patch changes no row of this table: performance, docs, or a fix inside a promised
behaviour that changes no value, path, format or spelling.
Seeded output is a promise within one version: same seed, same version, same
data, same output. Any release may shift a stream, since a value added to a list
moves every draw after it, so pin fixtures per version. An error's wording may
improve in a minor; the path, rejected spelling and replacement it names may not.
Before `v1.0.0` a minor is the breaking unit: `0.(x+1).0` may carry a major's
changes, each named in the changelog, and a `0.x.y` patch may not. `v1.0.0` is
cut once the shipped data is in its record shape and one full minor has shipped
with no breaking change. From `v2` the module path carries `/vN`, so fences ship
batched into as few majors as possible.
[`testdata/shipped_shape.txt`](testdata/shipped_shape.txt) pins every path, each
template category's format, the categories each category reads, each column's
datatype and nullability, and each table's key, name, weight and parent columns; a pull request that
changes it or `data/` adds its `CHANGELOG.md` entry, which CI checks. A removed,
renamed or retyped line is a major.
## Audience
App developers writing tests and fixtures, in Go and at a shell:
- a **bulk fixture author**, thousands of rows into CSV or SQL
- a **Go test author**, filling a struct with `FakeStruct`
- a **hand fixture author**, one value at a shell
- a **validator-facing author**, who needs a value a real checker accepts
- a **data author**, who writes categories under `--data-path` and meets every load
error the fences raise
and a **contributor**, who reads [`todo.md`](todo.md), [`AGENTS.md`](AGENTS.md) and
the Development section below, and who ships a register the five above then draw from.
## Goals
Where the project is heading; the sections before Audience document what ships today.
1. **The best fake-data tool there is, and the one developers reach for.**
1. You can install it the way you install your other tools, and people hear about
it where developers read.
2. **The code is easy to understand.**
1. You can go from a bug to the code behind it without asking anyone.
2. You can change one part without keeping the rest in your head.
3. Every name says what the thing really is.
4. Each file makes sense on its own, without another document open beside it.
3. **Every value is valid.** It passes the same check the real system would apply,
such as the checksum in a Swedish personal number.
1. Values that belong together come from the same random pick. You choose which
ones by giving that pick a name.
4. **Templates are easy to write and read.** A template is the text you write to
describe a value, such as `{first} {last}`.
1. Everything outside `{…}` prints exactly as written.
2. Each `{…}` makes a new random pick.
3. A name keeps one pick. `{/person as p}` picks a person and prints nothing.
`{p}` then prints that person, and `{p.last}` their last name.
4. A path works like a folder path: `.` goes down a level, and `..` goes up one.
5. `[SE]` selects one row of a table, and means that row wherever you write it.
6. If two people could read a template differently, loading it fails, and the
error shows how to write each meaning.
7. Each result has one way to write it. Any other way fails to load, and the error
shows the right one.
8. When a clearer name turns up, it replaces the old one, even if that needs a new
major version.
5. **Mistakes are caught when the data loads, and the error says plainly what is
wrong.**
6. **One command gets you a value.**
1. Flags work like in other command-line tools, and can go anywhere on the line.
2. Your first template of your own needs no escaping and no options.
7. **Data is JSON files. Code is only for what JSON can't express.**
8. **The same seed always gives the same output.**
9. **It depends on nothing but Go's standard library.**
10. **The docs are a map of the template language.**
1. Every feature has its own heading.
2. Every example runs as a test and shows its output.
3. Each rule is stated in one place.
11. **It is fast enough that you never notice it.**
12. **Every fact comes from an official or open source,** such as a government
register.
1. A table holds every row its source holds, and nothing added by hand.
13. **The most common data comes first,** such as names, addresses, phone numbers and
dates.
14. **Values look real by default. You can also ask for values that can never reach
anything real,** such as a domain nobody can register.
## Layout
```
doc.go the package doc, and the vocabulary the package is written in
fejkdata.go Generator, New, options, the embedded data set, List
node.go the node model and JSON -> node compilation, with its fence on a nested drawGroup
table.go tables: the rows TSV, its options and links, row selection and draws
path.go the dotted-path walks with their selectors, and proving a path resolves
render.go Fake, the recursive renderer (choices, format strings, expansions) and the reads its tokens make
record.go records: Record, the JSON/CSV/SQL serializers, and their entry points
struct.go structs: FakeStruct, fake tags, and a field's Go type as its column's datatype
inline.go inline templates: Template, NewTemplate, FakeTemplate, IsTemplate, and their compile and link
format.go the {token} grammar: scanning, tokens, operands, validation, compiling a format
draws.go the memo a hold or draw group keeps its draws in; and a render's draws and the scope it reads its reference paths through
holdfence.go the load fences over the hold: the routes and spellings that read one held name two ways
drawfence.go the load fences over reference draws and their refusals: a drawGroup's, a render's and a record's columns judged on what they read, and a table reaching its own family
reads.go the load-time fold of what a render reads, and what a path reads of a table family
pins.go the pin set: the table rows a render fixes, which the draw fences replay
reference.go reference sigils, and binding references across the tree
graph.go the node graph: tree walks, containment and render edges, and the cycle and repeat fences
builtins.go the {name()} function registry and its implementations
layout.go date and time layouts: the instants one is proved against, and the two samples
checksum.go the check characters a derivation appends, and the IBAN they sit inside
transform.go the builtins that rewrite an operand's value, and the ASCII folding
calc.go the {calc()} arithmetic evaluator: parser, eval, validation
datatype.go column datatypes: DataType, where datatype and null may sit, a column's datatype
valueproof.go the value proof: what a typed column, calc operand or struct field holds, checked at load
data.go the load path: fs.FS folders/files -> merged namespace tree, and the bind pipeline every entry point runs
cmd/fejkdata/ the fejkdata CLI
data/ shipped data (JSON, and a TSV per table), embedded at build: locale folders, geo, misc
data-import/ the scripts that rebuild each sourced table (see DATA-LICENSES.md)
docs/ the decision log, the register research behind the shipped data, and the survey of other libraries
release-tooling/ the release CI publishes from the changelog heading
testdata/ the pinned shipped shape (see Versioning)
```
## Development
Everything runs in Docker — **no local tooling beyond Docker is needed**.
Source is bind-mounted; build caches persist in the `gocache` volume.
```sh
docker compose run --rm test # go test -race
docker compose run --rm cover # tests with coverage
docker compose run --rm bench # benchmarks
docker compose run --rm build # compile the library
docker compose run --rm vet # go vet
docker compose run --rm cyclo # cyclomatic complexity over 14 (test files excluded)
docker compose run --rm dev # interactive shell
```
Commands that rewrite source keep your file ownership when run with `--user`:
```sh
docker compose run --rm --user "$(id -u):$(id -g)" fmt # gofmt -w .
docker compose run --rm --user "$(id -u):$(id -g)" tidy # go mod tidy
```
A `--user` command answering `permission denied` on `/cache` has met root-owned
files in the `gocache` volume: Docker creates the volume root-owned, and every
command here that omits `--user` writes into it as root. Hand it back, and again
whenever it recurs:
```sh
docker compose run --rm --user root --entrypoint chown test -R "$(id -u):$(id -g)" /cache
```
Every pull request runs `docker build .` against both the latest and the lowest
supported Go, and must pass before it can be merged — unless it changes none of
the files the build and its tests read, nor the workflow itself, in which case
it's skipped. That build is the whole gate but the
changelog check, which CI runs against the PR base — vet, complexity, format check
and tests — so run it locally before pushing. The lowest Go builds the `portable`
stage, all of that bar the format check:
```sh
docker build . # latest
docker build --build-arg GO_VERSION=1.22.12 --target portable . # lowest supported
GO_VERSION=1.22.12 docker compose run --rm test # the same tests, without the image build
```
Goal 2 is scored by a panel of simulated readers, and [`AGENTS.md`](AGENTS.md) says
what the score asks of a pull request. Goal 4 is checked against simulated template
writers from the Audience.
A change to the shipped data re-pins [`testdata/shipped_shape.txt`](testdata/shipped_shape.txt)
in its own commit:
```sh
REPIN=1 docker compose run --rm --user "$(id -u):$(id -g)" test
```
A shipped table built from a source is rebuilt by its script under
[`data-import/`](data-import), one command per dataset, fetching the source named in
[`DATA-LICENSES.md`](DATA-LICENSES.md). Downloads are cached under
`data-import/cache/`, which is ignored by version control and grows past a
gigabyte, so pass `--cache DIR` to reuse a copy you already have and delete it to
fetch afresh; `geo-us.py` fetches two
TIGER/Line files per county it ships, a few hundred megabytes, `geo-se.py` needs
a Trafikverket API key, free at [data.trafikverket.se](https://data.trafikverket.se/),
in `TRAFIKVERKET_API_KEY` or a `--key-file`, and the Census host behind `geo-us.py`
and `names-us.py` rejects a client for a while after a burst, so `--surnames` takes
a copy of the surname file:
```sh
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/currency.py
docker compose run --rm --user "$(id -u):$(id -g)" -e TRAFIKVERKET_API_KEY data-import data-import/geo-se.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/geo-us.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/httpmethod.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/httpstatus.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/language.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/loglevel.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/mimetype.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/names-se.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/names-us.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/port.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/protocol.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/territory.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/timezone.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/tld.py
docker compose run --rm --user "$(id -u):$(id -g)" data-import data-import/useragent.py
```
To release, head `CHANGELOG.md` with the version's section in place of `Unreleased`
and merge: once `main` passes the gate, CI tags that commit `vX.Y.Z` and publishes
the GitHub release with the section as its body. A top heading of `[Unreleased]`
publishes nothing.
## License
MIT — see [LICENSE](LICENSE). Forked from [github.com/Timewave-AB/fakes](https://github.com/Timewave-AB/fakes).