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handlers/examples.go
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208
handlers/examples.go
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package handlers
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/*
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Data Transformation Handlers Usage Examples
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This file contains examples of how to configure and use the various data transformation handlers.
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All configurations are done through the dag.Operation.Payload.Data map - no handler-specific configurations.
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1. FORMAT HANDLER
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=================
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Supports: string, number, date, currency, uppercase, lowercase, capitalize, trim
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Example configuration:
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{
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"format_type": "uppercase",
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"fields": ["name", "title"],
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"currency": "$",
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"date_format": "2006-01-02"
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}
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2. GROUP HANDLER
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================
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Groups data with aggregation functions
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Example configuration:
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{
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"group_by": ["department", "status"],
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"aggregations": {
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"salary": "sum",
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"age": "avg",
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"count": "count",
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"name": "concat"
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},
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"concat_separator": ", "
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}
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3. SPLIT/JOIN HANDLER
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====================
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Handles string operations
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Split example:
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{
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"operation": "split",
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"fields": ["full_name"],
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"separator": " "
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}
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Join example:
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{
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"operation": "join",
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"source_fields": ["first_name", "last_name"],
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"target_field": "full_name",
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"separator": " "
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}
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4. FLATTEN HANDLER
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==================
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Flattens nested data structures
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Flatten settings example (key-value pairs):
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{
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"operation": "flatten_settings",
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"source_field": "settings",
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"target_field": "config"
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}
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Input: {"settings": [{"key": "theme", "value": "dark", "value_type": "string"}]}
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Output: {"config": {"theme": "dark"}}
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5. JSON HANDLER
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===============
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JSON parsing and manipulation
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Parse JSON string:
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{
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"operation": "parse",
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"fields": ["json_data"]
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}
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Stringify object:
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{
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"operation": "stringify",
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"fields": ["object_data"],
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"indent": true
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}
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6. FIELD HANDLER
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================
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Field manipulation operations
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Filter fields:
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{
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"operation": "filter",
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"fields": ["name", "email", "age"]
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}
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Rename fields:
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{
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"operation": "rename",
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"mapping": {
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"old_name": "new_name",
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"email_addr": "email"
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}
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}
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Add fields:
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{
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"operation": "add",
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"new_fields": {
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"created_at": "2023-01-01",
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"status": "active"
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}
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}
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Transform keys:
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{
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"operation": "transform_keys",
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"transformation": "snake_case" // or camel_case, kebab_case, etc.
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}
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7. DATA HANDLER
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===============
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Miscellaneous data operations
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Sort data:
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{
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"operation": "sort",
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"sort_field": "created_at",
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"sort_order": "desc"
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}
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Deduplicate:
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{
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"operation": "deduplicate",
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"dedupe_fields": ["email", "phone"]
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}
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Calculate fields:
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{
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"operation": "calculate",
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"calculations": {
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"total": {
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"operation": "sum",
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"fields": ["amount1", "amount2"]
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},
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"average_score": {
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"operation": "average",
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"fields": ["score1", "score2", "score3"]
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}
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}
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}
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Type casting:
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{
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"operation": "type_cast",
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"cast": {
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"age": "int",
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"salary": "float",
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"active": "bool"
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}
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}
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Validate fields:
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{
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"operation": "validate_fields",
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"validation_rules": {
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"email": {
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"required": true,
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"type": "string"
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},
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"age": {
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"required": true,
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"type": "int",
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"min": 0
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}
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}
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}
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USAGE IN DAG:
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=============
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import "github.com/oarkflow/mq/handlers"
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import "github.com/oarkflow/mq/dag"
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// Create handler
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formatHandler := handlers.NewFormatHandler("format-1")
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// Configure through Operation.Payload
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config := dag.Payload{
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Data: map[string]any{
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"format_type": "uppercase",
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"fields": []string{"name", "title"},
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},
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}
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formatHandler.SetConfig(config)
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// Use in DAG
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dag := dag.NewDAG("data-processing")
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dag.AddNode(formatHandler)
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CHAINING OPERATIONS:
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===================
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You can chain multiple handlers in a DAG:
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1. Parse JSON → 2. Flatten → 3. Filter fields → 4. Format → 5. Group
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Each handler receives the output of the previous handler as input.
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*/
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