QubitPi commited on
Commit
d88ad14
1 Parent(s): f96350d

Load graph database in CI/CD

Browse files
.github/load.py ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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+ from wilhelm_python_sdk.german_neo4j_loader import load_into_database
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+
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+ if __name__ == "__main__":
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+ load_into_database("german.yaml")
.github/workflows/ci-cd.yaml CHANGED
@@ -26,3 +26,25 @@ jobs:
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  with:
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  use-custom-yamllint-config-file: true
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  use-custom-markdownlint-config-file: true
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  with:
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  use-custom-yamllint-config-file: true
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  use-custom-markdownlint-config-file: true
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+
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+ load-neo4j:
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+ name: Load vocabularies
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+ if: github.ref == 'refs/heads/master'
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+ needs: yml-md-style-and-link-checks
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+ runs-on: ubuntu-latest
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+ steps:
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+ - uses: actions/checkout@v3
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+ with:
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+ fetch-depth: 0
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+ - name: Set up Python 3.10
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+ uses: actions/setup-python@v4
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+ with:
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+ python-version: "3.10"
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+ - name: Load
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+ run: |
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+ pip3 install wilhelm-python-sdk
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+ python3 .github/load.py
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+ env:
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+ NEO4J_URI: ${{ secrets.NEO4J_URI }}
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+ NEO4J_USERNAME: ${{ secrets.NEO4J_USERNAME }}
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+ NEO4J_PASSWORD: ${{ secrets.NEO4J_PASSWORD }}
.gitignore CHANGED
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  .idea/
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-
 
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  .idea/
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+ .DS_Store
README.md CHANGED
@@ -17,20 +17,24 @@ The data that serves [wilhelmlang.com](https://wilhelmlang.com/). They are writt
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  How Data (Vocabulary) is Stored in a Graph Database
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  ---------------------------------------------------
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- ### Data Model
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  Graph data representation assumes universal connectivity among world entities. This applies pretty well to the realm of
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- languages. Multilanguate learners have already seen that Indo-European languages are similar in many different ways.
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- What's missing is connecting the dots using Graph Databases.
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-
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- __Language represented as a graph reveals lots of interesting information__. To accomplish such representation, each
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- word (`term`) is presented in the following way
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  ### Definition
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- _The meaning of a word is called the `definition`__
 
 
 
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- ![Error loading general-schema.png](./general-schema.png)
 
 
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  [German](./german.yaml)
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  -----------------------
 
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  How Data (Vocabulary) is Stored in a Graph Database
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  ---------------------------------------------------
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+ ### Why Graph Database
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  Graph data representation assumes universal connectivity among world entities. This applies pretty well to the realm of
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+ languages. Multilanguage learners have already seen that Indo-European languages are similar in many different ways.
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+ The similarities not only signify the historical facts about Philology but also surface a great opportunity for
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+ multilanguage learners to study much more efficiently. What's missing is connecting the dots using Graph Databases that
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+ visually presents these vastly enlightening links between the related languages.
 
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  ### Definition
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+ _The meaning of a word is called the `definition`_. A term has a natural relationship to its definition(s). For example,
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+ the German noun ["Ecke"](https://en.wiktionary.org/wiki/Ecke#Noun) has at least 4 definitions:
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+
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+ ![Relationship between term and defintion(s)](./definition.png "Error loading definition.png")
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+ <div align="center">
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+ Graph data generated by <a href="https://github.com/QubitPi/wilhelm-python-sdk">wilhelm-python-sdk</a>
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+ </div>
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  [German](./german.yaml)
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  -----------------------
definition.png ADDED
general-schema.png DELETED
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