Thank you for the video. At 01:31 how does validation actually happen? This part has always been confusing. Where does the actual validation happen at? It makes it sound like when a request goes to a given API endpoint, the JSON in the request is validated against the schema before it does anything, is that correct? If so, is there a code example? Sorry for the loaded comment.
Corey I believe if you go through this and next videos of the series you should get the details. Can check more on such lectures here - automationstepbystep.com/
How to create schema for json where Array members are unknown, like users array size can b2 2 or 4 or 6 some day. I see in this example that schema is only created as per given JSON.
Hi Kiruba, Yes, you can create a JSON schema and validate JSON responses in Python using the jsonschema library. Can check here - pynative.com/python-json-validation/
To convert a JSON response to a JSON Schema in Python, you can use the jsonschema library. Here is an example of how to do it: import jsonschema # Your JSON response response = { "name": "John Doe", "age": 30, "email": "johndoe@example.com" } # Generate the JSON Schema schema = jsonschema.Draft7Validator.check_schema(response) # Print the schema print(schema)
Hii sir , I have one JSON DATA file with datas in it. Now I want to EDIT or modify the DATAS OF VALUES from that json file , but I can't able to do that for JSON ARRAY, please give me some example to refer for that
## Modifying data in a JSON file with an array There are various ways to modify data in a JSON file with an array, depending on your specific needs and programming language. Here are some examples: **1. Python:** ```python import json with open("data.json", "r") as f: data = json.load(f) # Accessing specific element in array data["array_name"][0]["key"] = "new_value" # Looping and modifying elements for item in data["array_name"]: if item["condition"]: item["key"] = "modified_value" # Updating the JSON file with open("data.json", "w") as f: json.dump(data, f, indent=4) ``` **2. JavaScript:** ```javascript const fs = require('fs'); const data = JSON.parse(fs.readFileSync('data.json', 'utf8')); // Accessing specific element in array data.arrayName[0].key = 'newValue'; // Looping and modifying elements data.arrayName.forEach(item => { if (item.condition) { item.key = 'modifiedValue'; } }); // Updating the JSON file fs.writeFileSync('data.json', JSON.stringify(data, null, 2)); ``` **3. Shell Script:** ```sh jq '.array_name[0].key = "new_value"' data.json > data_new.json ``` **4. JSON Online Tools:** Several online tools allow you to edit JSON data directly in your browser. You can search for "JSON editor" or "JSON online tool" to find one that suits your needs. **Additional Tips:** * Make sure you have the correct file path and access permissions. * Always back up your original JSON file before making any changes. * Use descriptive variable names and comments to improve code readability. * Consider using libraries or modules specifically designed for JSON manipulation for more complex tasks. These examples provide a basic framework for modifying data in a JSON file with an array. Remember to adapt the code to your specific data structure and desired modifications.
Hemanth To convert one JSON schema to another different JSON schema in Python code, you can use the following steps: 1. **Import the necessary libraries.** ```python import json import jsonschema ``` 2. **Load the source JSON schema.** ```python with open("source_schema.json", "r") as f: source_schema = json.load(f) ``` 3. **Validate the source JSON schema.** ```python jsonschema.validate(source_schema, jsonschema.Schema()) ``` 4. **Convert the source JSON schema to the new JSON schema.** ```python new_schema = jsonschema.Draft7Validator(source_schema).schema ``` 5. **Save the new JSON schema.** ```python with open("new_schema.json", "w") as f: json.dump(new_schema, f, indent=4) ``` Here is an example of a Python code that converts a JSON schema from Draft 4 to Draft 7: ```python import json import jsonschema # Load the source JSON schema. with open("source_schema.json", "r") as f: source_schema = json.load(f) # Validate the source JSON schema. jsonschema.validate(source_schema, jsonschema.Schema()) # Convert the source JSON schema to the new JSON schema. new_schema = jsonschema.Draft7Validator(source_schema).schema # Save the new JSON schema. with open("new_schema.json", "w") as f: json.dump(new_schema, f, indent=4) ``` You can use the same approach to convert JSON schemas from any draft to another draft.
I am new to JSON and in a schema file provided they have a mapping section with Definitions. Do you have any additional information or training on this part of JSON.
@@RaghavPal right, so basically it's not similar to XML Schema where an XML schema is capable of populating an XML API request but JSON schema simply validates, but isn't capable of populating a sample JSON request ... that feels a bit odd considering JSON is so popular.
See you can generate a sample document, but will need to add the values and data www.liquid-technologies.com/online-schema-to-json-converter stackoverflow.com/questions/21894873/generate-sample-json-output-from-json-schema
Emre Based on what i infer from your query.. In JSON Schema, you can define the type of a schema and specify its properties. Let's break it down: 1. Data Types: - JSON Schema defines several basic data types: - String: Represents text values. - Number: Includes both integers and floating-point numbers. - Object: Represents structured data with key-value pairs. - Array: Contains an ordered list of values. - Boolean: Represents true or false. - Null: Represents the absence of a value. 2. Example Schema: Here's a simple example of a JSON Schema that defines an object with a single property: ```json { "$schema": "json-schema.org/draft-04/schema", "title": "Product", "description": "A product from Acme's catalog", "type": "object", "properties": { "id": { "description": "The unique identifier for a product", "type": "integer" } }, "required": ["id"] } ``` In this schema: - The type is set to "object." - The "id" property is of type "integer." 3. Property Constraints: - You can add constraints to properties using keywords like `minimum`, `maximum`, `pattern`, and more. - For example, you can specify a numeric range for a property or require certain properties to be present. Remember to adapt these concepts to your specific use case --
Hi sir, since I did not get any contact information about you, so I am requesting in the comment.please create a series for chatbot test automation. Currently I might be working in a chatbot project where need to do functional and automation testing. Waiting for your reply.
To convert one JSON schema to another different JSON schema in Python code, you can use the following steps: 1. **Import the necessary libraries.** ```python import json import jsonschema ``` 2. **Load the source JSON schema.** ```python with open("source_schema.json", "r") as f: source_schema = json.load(f) ``` 3. **Validate the source JSON schema.** ```python jsonschema.validate(source_schema, jsonschema.Schema()) ``` 4. **Convert the source JSON schema to the new JSON schema.** ```python new_schema = jsonschema.Draft7Validator(source_schema).schema ``` 5. **Save the new JSON schema.** ```python with open("new_schema.json", "w") as f: json.dump(new_schema, f, indent=4) ``` Here is an example of a Python code that converts a JSON schema from Draft 4 to Draft 7: ```python import json import jsonschema # Load the source JSON schema. with open("source_schema.json", "r") as f: source_schema = json.load(f) # Validate the source JSON schema. jsonschema.validate(source_schema, jsonschema.Schema()) # Convert the source JSON schema to the new JSON schema. new_schema = jsonschema.Draft7Validator(source_schema).schema # Save the new JSON schema. with open("new_schema.json", "w") as f: json.dump(new_schema, f, indent=4) ``` You can use the same approach to convert JSON schemas from any draft to another draft.
![Введение в JSON Schema [GeekBrains]](http://i.ytimg.com/vi/EJD6VskuqJ8/mqdefault.jpg)
You speak clearly, you don’t rush, you record in 1080p60fps, you give examples, you draw graphs - THANK YOU. I will support your channel!
Thanks a lot
definitely agree. Thank you, great explanation!
Thank you for the video. At 01:31 how does validation actually happen? This part has always been confusing. Where does the actual validation happen at? It makes it sound like when a request goes to a given API endpoint, the JSON in the request is validated against the schema before it does anything, is that correct? If so, is there a code example? Sorry for the loaded comment.
Corey
I believe if you go through this and next videos of the series you should get the details. Can check more on such lectures here - automationstepbystep.com/
I encountered json schema during one of the test.. now I clearly understood.. Thank you 😊😊😊
Glad it helped!
How to create schema for json where Array members are unknown, like users array size can b2 2 or 4 or 6 some day. I see in this example that schema is only created as per given JSON.
Hi Amit, you can use wild characters and dynamic properties, Check stackoverflow.com/questions/28697209/json-schema-for-dynamic-properties
This was AMAZING. Exceptional teaching skill, I got the concept perfectly, thank you!!
Most welcome Chad
You are: a great teacher!
Humbled to see your message Ben, I am learning & improving daily
The way you structured that json file O.O I'm going to do it that way too; so clear and organised!
Glad it helped
How to create ourself json to json schema in python and validate with json response?
Do we have any code?
Hi Kiruba,
Yes, you can create a JSON schema and validate JSON responses in Python using the jsonschema library.
Can check here - pynative.com/python-json-validation/
@@RaghavPal
Thanks for your soln!!
Is there any way to convert json response to json schema?
To convert a JSON response to a JSON Schema in Python, you can use the jsonschema library. Here is an example of how to do it:
import jsonschema
# Your JSON response
response = {
"name": "John Doe",
"age": 30,
"email": "johndoe@example.com"
}
# Generate the JSON Schema
schema = jsonschema.Draft7Validator.check_schema(response)
# Print the schema
print(schema)
@@RaghavPal
Thanks!!
The same code which I got from ChatGPT, but it's not working as expected
will need to try with some online examples
You're good at this! Keep it up. Subtle and crisp.
I appreciate that Tanmay
Sir your really a god gifted teacher.
Thanks for the kind words Nikhil
What is the hotspot field in the post schema??
Not sure on this Siddhesh
Focusing on word a great Idea. Keep it up 🙏🙏
Thank you
Very useful course. Thank you for sharing!
Most welcome Nghĩa
good
Thanks Venkata
Hii sir , I have one JSON DATA file with datas in it. Now I want to EDIT or modify the DATAS OF VALUES from that json file , but I can't able to do that for JSON ARRAY, please give me some example to refer for that
## Modifying data in a JSON file with an array
There are various ways to modify data in a JSON file with an array, depending on your specific needs and programming language. Here are some examples:
**1. Python:**
```python
import json
with open("data.json", "r") as f:
data = json.load(f)
# Accessing specific element in array
data["array_name"][0]["key"] = "new_value"
# Looping and modifying elements
for item in data["array_name"]:
if item["condition"]:
item["key"] = "modified_value"
# Updating the JSON file
with open("data.json", "w") as f:
json.dump(data, f, indent=4)
```
**2. JavaScript:**
```javascript
const fs = require('fs');
const data = JSON.parse(fs.readFileSync('data.json', 'utf8'));
// Accessing specific element in array
data.arrayName[0].key = 'newValue';
// Looping and modifying elements
data.arrayName.forEach(item => {
if (item.condition) {
item.key = 'modifiedValue';
}
});
// Updating the JSON file
fs.writeFileSync('data.json', JSON.stringify(data, null, 2));
```
**3. Shell Script:**
```sh
jq '.array_name[0].key = "new_value"' data.json > data_new.json
```
**4. JSON Online Tools:**
Several online tools allow you to edit JSON data directly in your browser. You can search for "JSON editor" or "JSON online tool" to find one that suits your needs.
**Additional Tips:**
* Make sure you have the correct file path and access permissions.
* Always back up your original JSON file before making any changes.
* Use descriptive variable names and comments to improve code readability.
* Consider using libraries or modules specifically designed for JSON manipulation for more complex tasks.
These examples provide a basic framework for modifying data in a JSON file with an array. Remember to adapt the code to your specific data structure and desired modifications.
Thank you Raghav for Raghav for the wonderful explanation
I have one question what is application of xml in embedded systems
XML is basically for data & information exchange and can be used to transfer data between 2 systems or apps
clear explanation, thanks Raghav
You're most welcome Pankaj
Hi sir how to convert one json schema to another different json schema in python code
Hemanth
To convert one JSON schema to another different JSON schema in Python code, you can use the following steps:
1. **Import the necessary libraries.**
```python
import json
import jsonschema
```
2. **Load the source JSON schema.**
```python
with open("source_schema.json", "r") as f:
source_schema = json.load(f)
```
3. **Validate the source JSON schema.**
```python
jsonschema.validate(source_schema, jsonschema.Schema())
```
4. **Convert the source JSON schema to the new JSON schema.**
```python
new_schema = jsonschema.Draft7Validator(source_schema).schema
```
5. **Save the new JSON schema.**
```python
with open("new_schema.json", "w") as f:
json.dump(new_schema, f, indent=4)
```
Here is an example of a Python code that converts a JSON schema from Draft 4 to Draft 7:
```python
import json
import jsonschema
# Load the source JSON schema.
with open("source_schema.json", "r") as f:
source_schema = json.load(f)
# Validate the source JSON schema.
jsonschema.validate(source_schema, jsonschema.Schema())
# Convert the source JSON schema to the new JSON schema.
new_schema = jsonschema.Draft7Validator(source_schema).schema
# Save the new JSON schema.
with open("new_schema.json", "w") as f:
json.dump(new_schema, f, indent=4)
```
You can use the same approach to convert JSON schemas from any draft to another draft.
I am new to JSON and in a schema file provided they have a mapping section with Definitions. Do you have any additional information or training on this part of JSON.
Hi, not more that this as of now
many thanks for good explanation!
You are welcome
Can you use a JSON Schema to filter out unwanted data? So you have a huge JSON file you get from an endpoint but you just want 2 or 3 fields from it?
That is better done using JSON Path
@@RaghavPal ah okay thank you ill look into that!
Like you can create XML API samples from XML Schema can we create JSON API requests from JSON Schema?
Hi Movi, we can use JSON schema to annotate and validate json documents
@@RaghavPal Thanks what i meant is rolling out JSON API requests using JSON Schema, not just for validation / annotation
Not exactly, its for checking the format, structure. Basically it checks if your Json message conforms with the schema
@@RaghavPal right, so basically it's not similar to XML Schema where an XML schema is capable of populating an XML API request but JSON schema simply validates, but isn't capable of populating a sample JSON request ... that feels a bit odd considering JSON is so popular.
See you can generate a sample document, but will need to add the values and data
www.liquid-technologies.com/online-schema-to-json-converter
stackoverflow.com/questions/21894873/generate-sample-json-output-from-json-schema
As usual excellent content. Thanks 🙏
Glad you enjoyed it
how can i find type and properties list?
Emre
Based on what i infer from your query..
In JSON Schema, you can define the type of a schema and specify its properties. Let's break it down:
1. Data Types:
- JSON Schema defines several basic data types:
- String: Represents text values.
- Number: Includes both integers and floating-point numbers.
- Object: Represents structured data with key-value pairs.
- Array: Contains an ordered list of values.
- Boolean: Represents true or false.
- Null: Represents the absence of a value.
2. Example Schema:
Here's a simple example of a JSON Schema that defines an object with a single property:
```json
{
"$schema": "json-schema.org/draft-04/schema",
"title": "Product",
"description": "A product from Acme's catalog",
"type": "object",
"properties": {
"id": {
"description": "The unique identifier for a product",
"type": "integer"
}
},
"required": ["id"]
}
```
In this schema:
- The type is set to "object."
- The "id" property is of type "integer."
3. Property Constraints:
- You can add constraints to properties using keywords like `minimum`, `maximum`, `pattern`, and more.
- For example, you can specify a numeric range for a property or require certain properties to be present.
Remember to adapt these concepts to your specific use case
--
@@RaghavPal Thank you, it was very descriptive.
Thank u for your explain✨
You’re welcome 😊
Hi Raghav, Thanks How to achieve the same via automation using Java ?
I will plan a session Nazeer
Great video, thank you. DeltaJSON is really useful if you are working with JSON, it does compare, merge and graft.
Great to hear!
how would you validate in c#
Hi, will try to create a session on that
No words to say... really really good
Thanks a lot Saranya
Thankyou for this video!!
You're so welcome Nidhi
helped a lot in my work 🙏thank you very much ♥
Most welcome
wow, such a simple explanation.
Glad it was helpful Bindu
Awesome👏👏👏👏
Thanks
Love it !!
Thanks for watching Abhijeet
It was extremely useful! Thank you!
Glad it was helpful Arwen
Well explained. Thanks for the video
Glad it was helpful Rushal
thank you, amazing explanation!!!
Most welcome
Great job
Thanks
So simple and amazing thanks for sharing
Most welcome
hell yeah 🤘🤘
Thanks for watching .. keep learning
Great job it's really helpful
Glad it helped
Hi sir, since I did not get any contact information about you, so I am requesting in the comment.please create a series for chatbot test automation. Currently I might be working in a chatbot project where need to do functional and automation testing. Waiting for your reply.
Sure I will plan on this Prabhu
@@RaghavPal Thank you so much sir. I really need this tutorial.
making video for json parsing library . very effective video for automation testing
TestNG
glad to know it is helping Vishal
very nice. very nice.
Thanks a lot Roy
Thanks a lot
Most welcome Subham
great video
Thanks Vishal
nice one
Thanks for watching Shailesh
Thanks teacher
You are welcome
Thanx
Welcome
Please send me python code for me
To convert one JSON schema to another different JSON schema in Python code, you can use the following steps:
1. **Import the necessary libraries.**
```python
import json
import jsonschema
```
2. **Load the source JSON schema.**
```python
with open("source_schema.json", "r") as f:
source_schema = json.load(f)
```
3. **Validate the source JSON schema.**
```python
jsonschema.validate(source_schema, jsonschema.Schema())
```
4. **Convert the source JSON schema to the new JSON schema.**
```python
new_schema = jsonschema.Draft7Validator(source_schema).schema
```
5. **Save the new JSON schema.**
```python
with open("new_schema.json", "w") as f:
json.dump(new_schema, f, indent=4)
```
Here is an example of a Python code that converts a JSON schema from Draft 4 to Draft 7:
```python
import json
import jsonschema
# Load the source JSON schema.
with open("source_schema.json", "r") as f:
source_schema = json.load(f)
# Validate the source JSON schema.
jsonschema.validate(source_schema, jsonschema.Schema())
# Convert the source JSON schema to the new JSON schema.
new_schema = jsonschema.Draft7Validator(source_schema).schema
# Save the new JSON schema.
with open("new_schema.json", "w") as f:
json.dump(new_schema, f, indent=4)
```
You can use the same approach to convert JSON schemas from any draft to another draft.
Nice introduction to JSON Schema. Thanks
{2023-06-07}, {2023-12-11}
Most welcome Paresh