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1. Workhorse reads the LSIF document line by line and generates code intelligence
data for each file in the project. The output is a zipped directory of JSON
files which imitates the structure of the project:
Project:
```code
app
controllers
application_controller.rb
models
application.rb
```
Generated data:
```code
app
controllers
application_controller.rb.json
models
application.rb.json
```
1. The zipped directory is stored as a ZIP artifact. Workhorse replaces the
original LSIF document with a set of JSON files in the ZIP artifact and
generates metadata for it. The metadata makes it possible to view a single
file in a ZIP file without unpacking or loading the whole file. That allows us
to access code intelligence data for a single file.
1. When a file is viewed in the GitLab application, frontend fetches code
intelligence data for the file directly from the object storage. The file
contains information about code units in the file. For example:
```json
[
{
"definition_path": "cmd/check/main.go#L4",
"hover": [
{
"language": "go",
"tokens": [
[
{
"class": "kn",
"value": "package"
},
{
"value": " "
},
{
"class": "s",
"value": "\"fmt\""
}
]
]
},
{
"value": "Package fmt implements formatted I/O with functions analogous to C's printf and scanf. The format 'verbs' are derived from C's but are simpler. \n\n### hdr-PrintingPrinting\nThe verbs: \n\nGeneral: \n\n```\n%v\tthe value in a default format\n\twhen printing st..."