logseq/scripts/README.md

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## Description
This is a collection of development related scripts, written as bash scripts, bb/babashka scripts and nbb scripts.
## Usage
### Babashka scripts
Most bb scripts live under `src/` and are defined as bb tasks. See [babashka tasks](../docs/dev-practices.md#babashka-tasks)
### Nbb scripts
Before running [nbb-logseq](https://github.com/logseq/nbb-logseq) scripts, be sure to have node >= 18.14 installed as well as a recent [babashka](https://github.com/babashka/babashka) for managing the dependencies in `nbb.edn`. Then `yarn install` to install dependencies
#### Create graph scripts
For database graphs, it is possible to create graphs with the
[logseq.outliner.db-pipeline](deps/outliner/src/logseq/outliner/db_pipeline.cljs)
and [logseq.db.sqlite.build](deps/db/src/logseq/db/sqlite/build.cljs). These
namespaces makes it easy to write scripts to create graphs with a concise EDN
map. For example, the `create_graph_with_properties.cljs` script uses this ns to
create a graph with a variety of properties:
```
$ yarn nbb-logseq src/logseq/tasks/db_graph/create_graph_with_properties.cljs woot
Generating 16 pages and 24 blocks ...
Created graph woot!
```
This script creates a DB graph with blocks containing several property types for
both single and many cardinality. It also includes queries for most of these
properties. Read the docs in
[logseq.db.sqlite.build](deps/db/src/logseq/db/sqlite/build.cljs)
for specifics on the EDN map.
To create large graphs with varying size:
```
$ yarn -s nbb-logseq src/logseq/tasks/db_graph/create_graph_with_large_sizes.cljs large
Building tx ...
Built 21000 tx, 1000 pages and 20000 blocks ...
Transacting chunk 1 of 21 starting with block: #:block{:name "page-0"}
...
Created graph large with 187810 datoms!
# To see options available
$ yarn -s nbb-logseq src/logseq/tasks/db_graph/create_graph_with_large_sizes.cljs -h
Usage: $0 GRAPH-NAME [OPTIONS]
Options:
-h, --help Print help
-p, --pages 1000 Number of pages to create
-b, --blocks 20 Number of blocks to create
```
Another example is the `create_graph_with_schema_org.cljs` script which creates a graph
with the https://schema.org/ ontology with as many of the classes and properties as possible:
```
$ yarn -s nbb-logseq src/logseq/tasks/db_graph/create_graph_with_schema_org.cljs schema
Skipping 67 superseded properties
Skipping 25 properties with unsupported data types
Renaming 44 classes due to page name conflicts
Generating 2268 pages with 900 classes and 1368 properties ...
Created graph schema!
```
#### Update graph scripts
For database graphs, it is recommended to use
`logseq.outliner.db-pipeline/add-listener!` when updating graphs. TODO