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🔧 Programmierung 🕛 kürzlich 15 Min Lesezeit
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From Zero to Merge: Building a JSON Renaming Field Component in Go

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Working on Instill’s pipeline-backend project was like solving a jigsaw 🧩 puzzle—except some pieces kept changing names! My mission? To create a component that could rename JSON fields without creating conflicts. Join me as I share my journey through learning Go, studying Instill’s well-organized




posted on to implement the functions.
  • Manipulating JSON data


  • JSON schema pseudo code


    CODE
    JsonOperator:
    Task: Rename fields

    Input:
    data:
    type: object
    description: Original data, which can be a JSON object or array of objects.
    fields:
    type: array
    description: An array of objects specifying the fields to be renamed.
    items:
    type: object
    properties:
    currentField:
    type: string
    description: The field name in the original data to be replaced, supports nested paths if "supportDotNotation" is true.
    newField:
    type: string
    description: The new field name that will replace the currentField, supports nested paths if "supportDotNotation" is true.
    # supportDotNotation:
    # type: boolean
    # default: true
    # description: Determines whether to interpret field names as paths using dot notation. If false, fields are treated as literal keys.
    conflictResolution:
    type: string
    enum: [overwrite, skip, error]
    default: overwrite
    description: Defines how conflicts are handled when the newField already exists in the data.

    Output:
    data:
    type: object
    description: The modified data with the specified fields renamed.

    Key Features:
    conflictResolution: Handling conflicts when renaming fields in JSON, especially when working with nested objects and dot notation, is critical to avoid data loss or unexpected behavior. Allow users to specify how they want conflicts to be resolved (e.g., via a parameter such as conflictResolution: 'overwrite'|'skip'|'error'),



    • Provides flexibility and control to the user.

    • Adapts to different use cases.


    Here are different strategies to manage conflicts and some considerations for each.



    1. Overwrite the Existing Field (Default Behavior)




    Description: If the newField already exists in the object, overwrite its value with the value from currentField.
    Pros:



    • Simple and straightforward.

    • Useful when the intention is to replace the existing value.
      Cons:

    • Can lead to data loss if not used carefully.


    Implementation:


    CODE
    if new_key in obj:
    obj[new_key] = obj.pop(current_key)
    else:
    obj[new_key] = obj.pop(current_key)


    2. Skip the Renaming Operation




    Description: If the newField already exists, skip the renaming operation for that particular field.
    Pros:



    • Prevents accidental overwriting of data.

    • Safeguards against potential conflicts without altering the existing data.
      Cons:

    • The currentField remains unchanged, which might not be the desired outcome.


    Implementation:


    CODE
    if new_key in obj:
    # Skip renaming if new_key already exists
    continue
    else:
    obj[new_key] = obj.pop(current_key)


    3. Merge Values




    Description: If both currentField and newField exist and contain objects or arrays, merge the two values. This approach is more complex but can be very powerful.
    Pros:



    • Preserves both sets of data.

    • Useful for combining information rather than choosing one over the other.
      Cons:

    • Can be complex to implement, especially if the data types of currentField and newField differ.

    • May require custom logic depending on how you want to merge the data (e.g., combining arrays, merging objects, etc.).


    Implementation:


    CODE
    if new_key in obj:
    if isinstance(obj[new_key], dict) and isinstance(obj[current_key], dict):
    # Merge dictionaries
    obj[new_key].update(obj.pop(current_key))
    elif isinstance(obj[new_key], list) and isinstance(obj[current_key], list):
    # Merge lists
    obj[new_key].extend(obj.pop(current_key))
    else:
    # Handle other types (overwrite, append, etc.)
    obj[new_key] = obj.pop(current_key)
    else:
    obj[new_key] = obj.pop(current_key)



    4. Rename with a Suffix or Prefix




    Description: If the newField already exists, rename the new field by appending a suffix or prefix (e.g., _1, _conflict) to avoid conflicts.
    Pros:



    • Both original and new data are preserved.

    • Easy to track conflicts.
      Cons:

    • The resulting data structure may become less predictable or harder to work with if many conflicts occur.


    Implementation:


    CODE
    suffix = 1
    original_new_key = new_key
    while new_key in obj:
    new_key = f"{original_new_key}_{suffix}"
    suffix += 1
    obj[new_key] = obj.pop(current_key)


    5. Return an Error or Warning




    Description: If a conflict is detected, stop the operation and return an error or warning to the user. This forces the user to address the conflict before proceeding.
    Pros:



    • Prevents accidental data overwriting.

    • Makes the user aware of potential issues immediately.
      Cons:

    • Halts the process, which might be undesirable in automated workflows.


    Implementation:


    CODE
    if new_key in obj:
    raise ValueError(f"Conflict detected: '{new_key}' already exists.")
    else:
    obj[new_key] = obj.pop(current_key)



    Summary:






    • Overwrite: Simple and effective, but can lead to data loss.


    • Skip: Safe but may leave data unchanged.


    • Error/Warning: Forces user intervention; best for critical operations.
      Choose the strategy that best aligns with your application's needs and the user's expectations. Implementing a combination of these strategies, such as providing a default behavior with options for customization, can offer the best balance between usability and robustness.



    Example Usage:




    Scenario: Input data as JSON object


    // input
    {
    "data": {
    "name": "John Doe",
    "age": 30,
    "address": {
    "street": "123 Main St",
    "city": "Anytown",
    "state": "CA"
    },
    "state": "conflict"
    },
    "fields": [
    {"currentField": "address.street", "newField": "address.road"},
    {"currentField": "state", "newField": "address.state"}
    ],
    // "supportDotNotation": true,
    "conflictResolution": "overwrite"
    }


    Conflict Resolution Scenarios:
    1. Overwrite (Default):



    • The state field in data would be moved to address.state, overwriting the existing address.state field.

    • Final output:


    CODE
    {
    "data": {
    "name": "John Doe",
    "age": 30,
    "address": {
    "road": "123 Main St",
    "city": "Anytown",
    "state": "conflict"
    }
    }
    }

    2. Skip:



    • The renaming of state to address.state would be skipped, so both state and address.state remain unchanged.

    • Final output:


    CODE
    {
    "data": {
    "name": "John Doe",
    "age": 30,
    "address": {
    "road": "123 Main St",
    "city": "Anytown",
    "state": "CA"
    },
    "state": "conflict"
    }
    }


    3. Error:



    • The process would raise an error, stopping execution, because address.state already exists.
      ValueError: Conflict detected: 'address.state' already exists.



    Scenario: Input Data as an Array of Objects




    If the input data is an array of objects, the logic needs to be adapted to handle each object in the array individually. The schema and the function would process each object within the array according to the specified fields and conflictResolution rules.


    Below is an example demonstrating how the "Rename Fields" operation would work with input data that is an array of objects.


    Input


    CODE
    {
    "data": [
    {
    "name": "John Doe",
    "age": 30,
    "address": {
    "street": "123 Main St",
    "city": "Anytown",
    "state": "CA"
    },
    "contacts": [
    {
    "type": "email",
    "value": "[email protected]"
    }
    ]
    },
    {
    "name": "Jane Smith",
    "age": 28,
    "address": {
    "street": "456 Oak St",
    "city": "Othertown",
    "state": "NY"
    }
    // Note: Jane Smith does not have a "contacts" field
    }
    ],
    "fields": [
    {"currentField": "name", "newField": "fullName"},
    {"currentField": "address.street", "newField": "address.road"},
    {"currentField": "contacts.0.value", "newField": "contacts.0.contactInfo"},
    {"currentField": "age", "newField": "yearsOld"}
    ],
    // "supportDotNotation": true,
    "conflictResolution": "skip"
    }

    Explanation:



    • Field "name": The "name" field will be renamed to "fullName" for each object in the array.

    • Field "address.street": The "street" field inside the "address" object will be renamed to "road" for each object.

    • Field "contacts.0.value": The "value" field inside the first element of the "contacts" array will be renamed to "contactInfo" for the first object, but this step will be skipped for the second object because the "contacts" field does not exist.

    • Field "age": The "age" field will be renamed to "yearsOld" for each object.


    Output:


    CODE
    {
    "data": [
    {
    "fullName": "John Doe",
    "yearsOld": 30,
    "address": {
    "road": "123 Main St",
    "city": "Anytown",
    "state": "CA"
    },
    "contacts": [
    {
    "type": "email",
    "contactInfo": "[email protected]"
    }
    ]
    },
    {
    "fullName": "Jane Smith",
    "yearsOld": 28,
    "address": {
    "road": "456 Oak St",
    "city": "Othertown",
    "state": "NY"
    }
    // The "contacts" field is not present, so no renaming occurs for "contacts.0.value"
    }
    ]
    }



    Rules for the Component Hackathon





    • Each issue will only be assigned to one person/team at a time.

    • You can only work on one issue at a time.

    • To express interest in an issue, please comment on it and tag |




    /


    pipeline-backend manages all pipeline resources within for more
    details.



    Recipe




    A pipeline recipe specifies how components are configured and how they are
    interconnected.


    Recipes are defined in YAML language:



    variable
    # pipeline input fields
    output:
    # pipeline output fields
    component:
    <component-id>:
    type: <component-definition-id>
    task: <task-id>
    input:
    # values for the input fields
    condition: <condition> # conditional statement to execute or bypass the






    Once I got comfortable, ChunHao, who had crafted a









    Step 3️⃣: Building the Component



    Armed with coffee☕ and courage💪, I got down to coding. Here’s a sneak peek at the core logic:






    Mapping Fields



    First, I created a mapping system to track old and new field names. This was key to detecting conflicts.




    CODE
    func mapFields(fields map[string]string) map[string]string {
    newFieldMap := make(map[string]string)
    for oldName, newName := range fields {
    // Check for conflict
    if _, exists := newFieldMap[newName]; exists {
    newName += "_conflict" // Add suffix for conflicts
    }
    newFieldMap[oldName] = newName
    }
    return newFieldMap
    }





    Any time a conflict was detected, the function added "_conflict" to the new name. It’s a simple trick that ensures our JSON fields stay unique and, most importantly, friendly to each other! ✌️





    Renaming Fields



    Once the field mappings were in place, the next step was applying them to our JSON data.



    CODE
    func renameFields(data map[string]interface{}, fieldMap map[string]string) map[string]interface{} {
    renamedData := make(map[string]interface{})
    for key, value := range data {
    newKey := fieldMap[key]
    renamedData[newKey] = value
    }
    return renamedData
    }





    Here’s the logic that applies the mapped names to our JSON data. The result? Our data’s neatly renamed, conflicts resolved, and structure intact. 🔥



    After creating the component dropped the draft PR & got a comment:





    Testing time! 🧪 I wrote tests covering everything from simple renames to complex edge cases with nested JSON fields. Each round of testing led to further refinements.



    CODE
    {
    name: "ok - rename fields with overwrite conflict resolution",
    // Test where renaming conflicts are resolved by overwriting the existing field.
    // Expected outcome: "newField" holds "value1", overwriting any previous value.
    },

    {
    name: "ok - rename fields with skip conflict resolution",
    // Test where conflicts are resolved by skipping the rename if the target field already exists.
    // Expected outcome: "newField" remains "value2" without overwrite.
    },

    {
    name: "nok - rename fields with error conflict resolution",
    // Test with "error" strategy, which should raise an error on conflict.
    // Expected outcome: Error message "Field conflict."
    },

    // Additional cases for missing required fields and invalid conflict resolution strategy





    Here’s where I’d love to share a personal reflection: Testing was the hardest part of this project 😮‍💨. There were times when I thought, "Is this test even doing what it’s supposed to?"



    Just then, I ran into a lint issue





    That’s when I realized I had to run the tests locally before submitting. ChunHao also added:




    "Please run and pass it before you request the review. Run $ go test ./pkg/component/operator/json/v0/... to check it locally."




    I quickly ran the tests locally, identified the issues, and fixed them.





    A little moment of celebration 🥳



    This process made me appreciate the importance of local testing even more, as it ensured everything was solid before submitting for review.



    Before merging, ChunHao did a final review, made a few tweaks, QAed Test Recipe and updated the documentation to reflect the new changes. Big thanks to Anni for her ongoing support throughout the process—it made a huge difference. 🙌







    👥 Reflection on the Collaborative Process 🫱🏼‍🫲🏼



    One of the biggest lessons I learned was how collaboration and mentorship can make or break a project. Instill's moderators, Anni and ChunHao, provided me with the guidance I needed when I was lost in Go syntax or struggling with the right approach. Working together, we turned a complex problem into a clean, functional solution.



    I’ll be honest, there were moments I felt like I had bitten off more than I could chew. But the constant encouragement from Anni, combined with the clear direction from ChunHao, kept me on track.







    ⏭️ Next Steps and Future Improvements



    Another step could be expanding this approach to other parts of the pipeline that require dynamic field name handling—because who doesn’t love a little bit of automation⚙️?







    🛠️ Tools & Resources 🪛





    1. : A goldmine of well-organized resources to understand the Instill pipeline.


    2. : A Go linters aggregator to identify issues and enforce code quality during development and CI checks.







    🧑🏻‍💻🗒️ My Learning



    With Instill’s rock-solid documentation, guidance from ChunHao, and Anni's moral support, this project became a fantastic learning experience. I went from knowing nothing about Go to implementing a fully functional feature ready for production (and I have the merged PR to prove it 😉).



    Proof:











    Because



    • we want to manipulate JSON data


    This commit



    • provide the function to rename the json key with different strategies.




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