search
HomeBackend DevelopmentPython TutorialHow to Resolve 'SyntaxError: Unexpected token '&'' When Parsing JSON in Jinja Templates?

How to Resolve

Resolving JavaScript SyntaxError When Rendering JSON Data in Jinja Templates

When attempting to iterate over JSON data through JavaScript code rendered in a Jinja template, you may encounter a "SyntaxError: Unexpected token '&'" error when calling JSON.parse(). This error arises due to automatic escaping of data by Flask's Jinja environment when rendering in HTML templates.

Solution: Using the tojson Filter

To prevent this escape process and handle the data as JSON in JavaScript, Flask provides the tojson filter. It converts Python objects to JSON and marks them as safe for rendering in the template.

return render_template("tree.html", tree=tree)
<script>
  var tree = {{ tree|tojson }};
</script>

Handling Non-JSON Data

If you're not dealing with JSON data or have already converted it to a string, you can use the safe filter or wrap the string in Markup to prevent escaping:

return render_template("tree.html", tree=json.dumps(tree))
<script>
  var tree = {{ tree|safe }};
  // or
  var tree = {{ Markup(json.dumps(tree)) }};
</script>

Passing Raw Data

If you intend to use the data within the Jinja template itself rather than passing it to JavaScript, you can omit the tojson filter and use the raw Python data directly.

return render_template("tree.html", tree=tree)
{% for item in tree %}
  
  • {{ item }}
  • {% endfor %}

    By implementing these techniques, you can effectively use rendered JSON data in JavaScript without encountering the SyntaxError issue.

    The above is the detailed content of How to Resolve 'SyntaxError: Unexpected token '&'' When Parsing JSON in Jinja Templates?. For more information, please follow other related articles on the PHP Chinese website!

    Statement
    The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
    Are Python lists dynamic arrays or linked lists under the hood?Are Python lists dynamic arrays or linked lists under the hood?May 07, 2025 am 12:16 AM

    Pythonlistsareimplementedasdynamicarrays,notlinkedlists.1)Theyarestoredincontiguousmemoryblocks,whichmayrequirereallocationwhenappendingitems,impactingperformance.2)Linkedlistswouldofferefficientinsertions/deletionsbutslowerindexedaccess,leadingPytho

    How do you remove elements from a Python list?How do you remove elements from a Python list?May 07, 2025 am 12:15 AM

    Pythonoffersfourmainmethodstoremoveelementsfromalist:1)remove(value)removesthefirstoccurrenceofavalue,2)pop(index)removesandreturnsanelementataspecifiedindex,3)delstatementremoveselementsbyindexorslice,and4)clear()removesallitemsfromthelist.Eachmetho

    What should you check if you get a 'Permission denied' error when trying to run a script?What should you check if you get a 'Permission denied' error when trying to run a script?May 07, 2025 am 12:12 AM

    Toresolvea"Permissiondenied"errorwhenrunningascript,followthesesteps:1)Checkandadjustthescript'spermissionsusingchmod xmyscript.shtomakeitexecutable.2)Ensurethescriptislocatedinadirectorywhereyouhavewritepermissions,suchasyourhomedirectory.

    For what types of operations are arrays significantly faster than lists?For what types of operations are arrays significantly faster than lists?May 07, 2025 am 12:01 AM

    Arraysaresignificantlyfasterthanlistsforoperationsbenefitingfromdirectmemoryaccessandfixed-sizestructures.1)Accessingelements:Arraysprovideconstant-timeaccessduetocontiguousmemorystorage.2)Iteration:Arraysleveragecachelocalityforfasteriteration.3)Mem

    Explain the performance differences in element-wise operations between lists and arrays.Explain the performance differences in element-wise operations between lists and arrays.May 06, 2025 am 12:15 AM

    Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

    How can you perform mathematical operations on entire NumPy arrays efficiently?How can you perform mathematical operations on entire NumPy arrays efficiently?May 06, 2025 am 12:15 AM

    Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

    How do you insert elements into a Python array?How do you insert elements into a Python array?May 06, 2025 am 12:14 AM

    In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.

    How can you make a Python script executable on both Unix and Windows?How can you make a Python script executable on both Unix and Windows?May 06, 2025 am 12:13 AM

    TomakeaPythonscriptexecutableonbothUnixandWindows:1)Addashebangline(#!/usr/bin/envpython3)andusechmod xtomakeitexecutableonUnix.2)OnWindows,ensurePythonisinstalledandassociatedwith.pyfiles,oruseabatchfile(run.bat)torunthescript.

    See all articles

    Hot AI Tools

    Undresser.AI Undress

    Undresser.AI Undress

    AI-powered app for creating realistic nude photos

    AI Clothes Remover

    AI Clothes Remover

    Online AI tool for removing clothes from photos.

    Undress AI Tool

    Undress AI Tool

    Undress images for free

    Clothoff.io

    Clothoff.io

    AI clothes remover

    Video Face Swap

    Video Face Swap

    Swap faces in any video effortlessly with our completely free AI face swap tool!

    Hot Tools

    Dreamweaver Mac version

    Dreamweaver Mac version

    Visual web development tools

    EditPlus Chinese cracked version

    EditPlus Chinese cracked version

    Small size, syntax highlighting, does not support code prompt function

    Notepad++7.3.1

    Notepad++7.3.1

    Easy-to-use and free code editor

    Atom editor mac version download

    Atom editor mac version download

    The most popular open source editor

    ZendStudio 13.5.1 Mac

    ZendStudio 13.5.1 Mac

    Powerful PHP integrated development environment