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Breaking change: Updates for CDM v5.4.1 and 5.3.1 #39

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Breaking change: Updates for CDM v5.4.1 and 5.3.1 #39

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3211d74
Update Project.toml
AshlinHarris Sep 7, 2024
6c74eee
Update README
AshlinHarris Sep 7, 2024
25b0f78
Support 5.4.1 or 5.3.1
AshlinHarris Sep 7, 2024
05c265e
Update regex for modern DDLs
AshlinHarris Sep 7, 2024
be5a7d1
Check ENV for OMOP_CDM_VERSION
AshlinHarris Sep 7, 2024
cd84e36
Remove old DDL
AshlinHarris Sep 7, 2024
2317b6b
Remove old generated file
AshlinHarris Sep 7, 2024
5198334
Add modern DDLs
AshlinHarris Sep 7, 2024
79ea6fb
Add lateset generated files
AshlinHarris Sep 7, 2024
537cfca
Add README
AshlinHarris Sep 7, 2024
6b9a573
READ OMOP_CDM_VERSION from ENV
AshlinHarris Sep 7, 2024
3a4c2b0
Update README.md
AshlinHarris Sep 7, 2024
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9 changes: 5 additions & 4 deletions Project.toml
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Original file line number Diff line number Diff line change
@@ -1,18 +1,19 @@
name = "OMOPCommonDataModel"
uuid = "ba65db9e-6590-4054-ab8a-101ed9124986"
authors = ["Dilum Aluthge", "Brown Center for Biomedical Informatics", "JuliaHealth", "contributors"]
version = "0.1.4"
version = "0.2.0"

[deps]
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
PrettyPrint = "8162dcfd-2161-5ef2-ae6c-7681170c5f98"

[compat]
DataFrames = "0.21"
DocStringExtensions = "0.8"
DataFrames = "1"
DocStringExtensions = "0.8, 0.9"
PrettyPrint = "0.2"
StructArrays = "0.4"
StructArrays = "0.4, 0.5, 0.6"
Tables = "1"
julia = "1.1"

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10 changes: 10 additions & 0 deletions README.md
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Expand Up @@ -8,3 +8,13 @@
Pure Julia implementation of the [OMOP Common Data Model (CDM)](https://github.com/OHDSI/CommonDataModel).

Please see the [documentation](https://JuliaHealth.github.io/OMOPCommonDataModel.jl/stable).

OMOP CDM versions 5.4.1 and 5.3.1 are supported.
The value for `OMOP_CDM_VERSION` is read from the Julia environment, with `v5.4.1` being the default value.

## Example
```julia
using CSV, DataFrames, OMOPCommonDataModel

CSV.File("person.csv",types=[Person.types...]) |> DataFrame
```
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