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Expecting value: line 1 column 1 (char 0) Mac Fix

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Expecting value line 1 column 1 (char 0) on Mac

Expecting value line 1 column 1 (char 0) on Mac is an error message on Mac computers that could potentially be caused by malware. Expecting value line 1 column 1 (char 0) on Mac may also be triggered by an improper update installation.

Expecting value: line 1 column
“Expecting value: line 1 column” is popping up continuously on Mac users computers

Currently, there’s not much information about this error message other than that it shows up on the computer on startup and that a number of users have reported finding malware on their computers after the message started appearing. This doesn’t necessarily mean that if you are getting this error on your Mac the computer is infected, but it is definitely something that shouldn’t be overlooked and ignored. For that reason, we are writing this article and the guide that follows it in order to aid you in dealing with this error and any potential malware in your system that could be responsible for it.

FAQs

How to parse JSON in python?

json.loads() method can be used to parse JSON in python. For instance:
import json
json_string = ‘{“a”:”1″, “b”:”2″, “c”:”3″}’
json_to_dict = json.loads(json_string)
print(json_to_dict)
print(type(json_to_dict))

How to detect empty file/string before parsing JSON?

import os
file_path = “/home/nikhilomkar/Desktop/test.json”
print(“File is empty!” if os.stat(file_path).st_size == 0 else “File isn’t empty!”)
The following code checks if the file is empty and prints the File is empty! If true, else, the File isn’t empty!.

ModuleNotFoundError: No module named ‘numpy’

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  • Python
  • Errors and Exception
  • 4 minute read

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How can JSONDecodeError: Expecting value: line 1 column 1 (char 0) occur?

JSONDecodeError means there is an incorrect JSON format being followed. For instance, the JSON data may be missing a curly bracket, have a key that does not have a value, and data not enclosed within double-quotes or some other syntactic error.

A JSON file example
A JSON file example
A JSON file example

Generally, the error expecting value: line 1 column 1 (char 0) error can occur due to the following reasons.

  • Non-JSON conforming quoting
  • Empty JSON file
  • XML output (that is, a string starting with <)

Let’s elaborate on the points stated above:

1. Non-JSON conforming quoting

JSON or JavaScript Object Notation has a similar format to that of the python dictionary datatype. A dictionary requires a key or value to be enclosed in quotes if it is a string. Similarly, the JSON standard defines that keys need not be a string. However, keys should always be enclosed within double quotes. Not following this standard can also raise an error.

Keys must be double-quoted in JSON
Keys must be double-quoted in JSON
Keys must be double-quoted in JSONGenerate OpenSSL Symmetric Key Using Python
Generate OpenSSL Symmetric Key Using Python
Trending Generate OpenSSL Symmetric Key Using Python

2. Empty JSON file

For this example, we have taken an empty JSON file named test.py and another file named test.py, which contains the code given below. Using context manager, we open the JSON file in reading mode and load it using the load method. However, an error is thrown because the JSON file is empty.

import json

with open(“test.json”, “r”) as file:
data = json.load(file)

print(“Data retrieved”)
Empty JSON file returns an error
Empty JSON file returns an error
Empty JSON file causes an error

3. XML output (that is, a string starting with <)

The Extensible Markup Language, or simply XML, is a simple text-based format for representing structured information: documents, data, configuration, books, transactions, invoices, and much more. Similar to JSON, it is an older way of storing data. Earlier APIs used to return data in XML format ; however, JSON is nowadays the preferred choice. Let’s see how we can face the expecting value: line 1 column 1 (char 0) type error in this case.

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import json
with open(“test.xml”, “r”) as file:
data = json.load(file)
print(“Data retrieved”)

Let’s break down what is happening here.

  • For ease of example, suppose API returns an XML format data, as shown above.
  • Now, when we try to load that response from API, we will get a type error.

XML response causes an error
XML response causes an error
XML response causes an error

Expecting value line 1 column on Mac

Expecting value line 1 column on Mac is an error that appears when the computer starts and could be linked to malware files located in Library/Application Support. If you are getting the Expecting value line 1 column on Mac error, you should check that location.

More detailed instructions on how to check your Mac for malware can be found in the guide we’ve posted at the end of this article. However, doing things manually may hide certain risks and may not always be perfectly effective. Therefore, experts suggest also using a dependable security tool to scan and clean your Mac from any potential threats. On this page, there is one such security tool that we have linked and that we recommend to anyone who is getting the Expecting value line 1 column on Mac error and wants to check their Mac for potential malware.

Error while installing expecting value line 1 column 1 (char 0)

Error while installing expecting value line 1 column 1 (char 0) is a Mac error that may indicate the presence of malware or an update issue. If you get the “Error while installing expecting value line 1 column 1 (char 0)” it’s suggested that you check the system for malware and update it to the latest OS version.

Unfortunately, it is not currently clear what the exact cause of this error message is. As we said, some users have detected malware on their Macs after seeing the error and once they’ve removed the malware, the message stopped appearing. However, it may also help if you update your OS. Some researchers suggest that the cause of the error may be an app update that’s only applicable for macOS Big Sur that got installed on an older version of macOS (such as macOS Catalina or macOS Mojave). In such cases, it could help resolve the error if one re-installs their macOS or updates it to the latest version if possible.

Even if the problem is update-related, however, it is still important to make sure that there’s no malware in the system. In the past couple of years, Mac malware has become very widespread, yet many users still don’t consider it a significant threat. Even if there are no suspicious symptoms on your Mac other than the error message, you should still investigate it and make sure that no malicious or unwanted software has managed to infiltrate your system. Many threats such as Trojans or Spyware are known for showing little to no symptoms and so often the only way to detect them is if you are intentionally looking for them in the system. As we said, instructions on how to detect and remove malware from your Mac will be provided below, so we suggest you go there and complete the steps.

 SUMMARY:

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Solution

The solution is simple and straightforward. Validate if the file is not empty and has proper JSON content. Now that we have added the proper content to the books.json file when we run the same code again, we get the below output.

# Python program to solve JSONDecodeError: Expecting value: line 1 column 1 (char 0)
import json

file_path = “C:/Projects/Tryouts/books.json”

with open(file_path, ‘r’) as j:
contents = json.loads(j.read())
print(contents)

Output

{‘category’: ‘reference’, ‘author’: ‘Nigel Rees’, ‘title’: ‘Sayings of the Century’, ‘isbn’: ‘6-246-2356-8’, ‘price’: 8.95}

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    <хедер class="entry-хедер">

    Example JSONDecodeError: Expecting value: line 1 column 1 (char 0)

    Let me demonstrate with a simple example of replicating a JSONDecodeError, and we will look at solving the same. 

    In this example, we are trying to load a JSON file from the specified path and print the contents of the JSON file. However, since the JSON file is empty, the JSON module will throw a JSONDecodeError when we try to read the empty content. It always expects the proper JSON structure.

    import json

    file_path = “C:/Projects/Tryouts/books.json”

    with open(file_path, ‘r’) as j:
    contents = json.loads(j.read())
    print(contents)

    Output

    Traceback (most recent call last):
    File “c:/Projects/Tryouts/main.py”, line 6, in
    contents = json.loads(j.read())
    File “C:UsersabcAppDataLocalProgramsPythonPython37libjson__init__.py”, line 348, in loads
    return _default_decoder.decode(s)
    File “C:UsersabcAppDataLocalProgramsPythonPython37libjsondecoder.py”, line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
    File “C:UsersabcAppDataLocalProgramsPythonPython37libjsondecoder.py”, line 355, in raw_decode
    raise JSONDecodeError(“Expecting value”, s, err.value) from None
    json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

    The json.loads(j.read()) tries to load the JSON content and parse the JSON, and during that time, if it’s not well structured, you get a JSONDecodeError.

    Note: In this case, if the JSON file is not found, you will get a FileNotFoundError: [Errno 2] No such file or directory

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  • Conclusion JSONDecodeError: Expecting value: line 1 column 1 (char 0)

    The following article discussed the JSONDecodeError: Expecting value: line 1 column 1 (char 0). This error is due to various decoding and formatting errors. We looked at likely situations where it can occur and how to resolve it.

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    Many times, when you receive the data from HTTP requests, they are fetched as bytes. So, if you face JSONDecodeError, you might be dealing with a JSON in bytes. First, you need to decode the JSON by using response.decode(‘utf-8’). This will create a string, and then you can parse it.

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    This issue is caused by the failure of Pipenv 2018.10.9. To resolve this issue, use Pipenv 2018.5.18. For more, read here .

    Resolving JSONDecodeError: Expecting value: line 1 column 1 (char 0)

    1. Solution for Non-JSON conforming quoting

    To resolve the type error in this case, you need to ensure that the keys and values are enclosed within the double quotes. This is necessary because it is a part of JSON syntax. It is important to realize that JSON only uses double quotes, not single quotes.

    Use double quotes for enclosing keys and values
    Use double quotes for enclosing keys and values
    Use double quotes for enclosing keys and valuesPopular now Gingerit: Correct Grammatical Errors Using Python

    2. Solution for empty JSON file

    The solution for this is self-evident in the name. To resolve the type error, in this case, make sure that the JSON file or the response from an API is not empty. If the file is empty, add content to it, and for a response from an API, use try-except to handle the error, which can be empty JSON or a 404 error, for instance.

    import json
    import requests

    def main():
    URL = “https://api.dictionaryapi.dev/api/v2/enties/en/”
    word = input(“Enter a word:”)
    data = requests.get(url + word)
    data = data.text
    try:
    data_json = json.loads(data)
    print(data_json)
    except json.JSONDecodeError:
    print(“Empty response”)

    if __name__ == “__main__”:
    main()

    The above code takes in a word and returns all the information related to it in a JSON format. Now in order to show how we can handle the Expecting value: line 1 column 1 (char 0) type error, we have altered the URL. entries have been changed to enties. Therefore we will get an invalid response which will not be of the JSON format. However, this is merely done to imitate the error when you might get an invalid response from an API.

    • Now, if you try to run the code above, you will be prompted to enter a word. The response is saved into the data variable and later converted to a string.
    • However, in the try block json.loads method, which parses JSON string to python dictionary raises an error.
    • This is because the response sent by API is not of JSON format, hence can’t be parsed, resulting in JSONDecodeError.
    • JSONDecodeError gets handled by the try-except block, and a “Response content is not valid JSON” gets printed as an outcome.

    Response content is not valid JSON
    Response content is not valid JSON
    The response content is not valid JSONResponse when everything runs correctly.
    Response when everything runs correctly.
    Response when everything runs correctly.

    3. Solution for XML output(that is, a string starting with <)

    To avoid type errors resulting from an XML format, we will convert it to a JSON format. However, firstly install this library.

    pip install xmltodictimport json
    import xmltodict

    with open(“test.xml”, “r”) as file:
    data = xmltodict.parse(file.read())
    file.close()

    json_data = json.dumps(data)
    with open(“t.json”, “w”) as json_file:
    json_file.write(json_data)
    json_file.close()
    print(“Data retrieved”)
    print(data)

    Let’s elaborate on the code above:

    • We have imported two libraries, namely JSON and xmltodict.
    • Using the context manager with, XML file test.xml is opened in read mode. Thereafter using the xmltodict parse method, it is converted to a dictionary type, and the file is closed.
    • json.dumps() takes in a JSON object and returns a string of that object.
    • Again using context manager with, a JSON file is created, XML data that was converted to a JSON string is written on it, and the file is closed.

    xml data converted into json format
    xml data converted into json format
    XML data converted into JSON format

    Other Possible Solutions

    Ensure HTTP 200 status code and valid content type as application/json

    If you are making requests to API, make sure to check the response status code is 200 (OK) and then perform JSON parse. Below is the sample snippet on how you can ensure to check the response has 200 status code and valid content type as application/json

    if (
    response.status_code != 204 and
    response.хедерs[“content-type”].strip().startswith(“application/json”)
    ):
    try:
    return response.json()
    except ValueError:
    # decide how to handle a server that’s misbehaving to this extent

    Invoke json.load() on the contents of the file

    If you are calling and loading json files directly, ensure that you are not passing a file path directly to the json.load() method instead pass the contents into the json.load() method.

    Bad Practice

    json_file_path = “/path/to/example.json”

    contents = json.loads(json_file_path)

    Good Practice

    json_file_path = “/path/to/example.json”

    with open(json_file_path, ‘r’) as j:
    contents = json.loads(j.read())Ezoic
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    Источники

    • https://howtoremove.guide/expecting-value-line-1-column/
    • https://www.pythonpool.com/jsondecodeerror-expecting-value-line-1-column-1-char-0/
    • https://itsmycode.com/jsondecodeerror-expecting-value-line-1-column-1-char-0/
    • https://www.cyclonis.com/ru/expecting-value-line-1-column-1-char-0-error/
    • https://qna.habr.com/q/701622
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