mirror of
https://github.com/ManyakRus/crud_generator.git
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82 lines
2.0 KiB
Plaintext
82 lines
2.0 KiB
Plaintext
convert_id.json:
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Mapping database table name . field name = field type in golang.
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For tables file.
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For non standart rare case or type aliases
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example:
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{
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"lawsuit_payments.id": "alias.PaymentId",
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"lawsuit_payments.invoice_id": "alias.InvoiceId",
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}
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------------------------------------------------------------------------
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mapping.json
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Mapping Postgres types to Golang types
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------------------------------------------------------------------------
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name_replace.json
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Mapping database field name = golang field name
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For tables file.
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Replace standart field name to filled name
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For non standart rare case.
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example:
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{
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"inn": "INN",
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"json_file_id": "JSONFileID"
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}
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------------------------------------------------------------------------
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nullable.json
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List of golang field names, which need change 0 to null.
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true = need change 0 to null
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For non standart rare case.
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example:
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{
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"ext_id": true,
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"created_at": false
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}
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------------------------------------------------------------------------
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model_crud_delete_functions.json
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Mapping postgres tables to golang function name,
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this functions will be deleted from model crud files.
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example:
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{
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"lawsuits": "NewLawsuit,AsLawsuit"
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}
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------------------------------------------------------------------------
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crud_functions_rename.json
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TableName:{old:"",new:""}
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example:
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{
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"functions": [
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{
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"old": "create_update_ctx",
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"new":"create_update_ctx_original"
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}
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]
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}
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------------------------------------------------------------------------
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findby_functions.json
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Need for automatic create functions searching 1 row in table filtered by column_name,
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example:
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[{"Table":"table_name1","Columns":["column_name1"]}]
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[{"Table":"table_name1","Columns":["column_name1","column_name2"]}]
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------------------------------------------------------------------------
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findmassby_function.json
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Need for automatic create functions searching many rows in table filtered by column_name,
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example:
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[{"Table":"table_name1","Columns":["column_name1"]}]
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[{"Table":"table_name1","Columns":["column_name1","column_name2"]}]
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