Read JSON file correctly - python

I am trying to read a JSON file (BioRelEx dataset: https://github.com/YerevaNN/BioRelEx/releases/tag/1.0alpha7) in Python. The JSON file is a list of objects, one per sentence.
This is how I try to do it:
def _read(self, file_path):
with open(cached_path(file_path), "r") as data_file:
for line in data_file.readlines():
if not line:
continue
items = json.loads(lines)
text = items["text"]
label = items.get("label")
My code is failing on items = json.loads(line). It looks like the data is not formatted as the code expects it to be, but how can I change it?
Thanks in advance for your time!
Best,
Julia

With json.load() you don't need to read each line, you can do either of these:
import json
def open_json(path):
with open(path, 'r') as file:
return json.load(file)
data = open_json('./1.0alpha7.dev.json')
Or, even cooler, you can GET request the json from GitHub
import json
import requests
url = 'https://github.com/YerevaNN/BioRelEx/releases/download/1.0alpha7/1.0alpha7.dev.json'
response = requests.get(url)
data = response.json()
These will both give the same output. data variable will be a list of dictionaries that you can iterate over in a for loop and do your further processing.

Your code is reading one line at a time and parsing each line individually as JSON. Unless the creator of the file created the file in this format (which given it has a .json extension is unlikely) then that won't work, as JSON does not use line breaks to indicate end of an object.
Load the whole file content as JSON instead, then process the resulting items in the array.
def _read(self, file_path):
with open(cached_path(file_path), "r") as data_file:
data = json.load(data_file)
for item in data:
text = item["text"]
label appears to be buried in item["interaction"]

Related

How to run a json file in python

The goal is to open a json file or websites so that I can view earthquake data. I create a json function that use dictionary and a list but within the terminal an error appears as a invalid argument. What is the best way to open a json file using python?
import requests
`def earthquake_daily_summary():
req = requests.get("https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_day.geojson")
data = req.json() # The .json() function will convert the json data from the server to a dictionary
# Open json file
f = open('https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_day.geojson')
# returns Json oject as a dictionary
data = json.load(f)
# Iterating through the json
# list
for i in data['emp_details']:
print(i)
f.close()
print("\n=========== PROBLEM 5 TESTS ===========")
earthquake_daily_summary()`
You can immediately convert the response to json and read the data you need.
I didn't find the 'emp_details' key, so I replaced it with 'features'.
import requests
def earthquake_daily_summary():
data = requests.get("https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_day.geojson").json()
for row in data['features']:
print(row)
print("\n=========== PROBLEM 5 TESTS ===========")
earthquake_daily_summary()

I need help creating a simple python script that stores an attribute value from a custom json file

JSON file looks like this:
{"Clear":"Pass","Email":"noname#email.com","ID":1234}
There are hundreds of json files with different email values, which is why I need a script to run against all files.
I need to extract out the value associated with the Email attribute, which is nooname#email.com.
I tried using import json but I'm getting a decoder error:
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Script looks like this:
import json
json_data = json.loads("file.json")
print (json_data["Email"]
Thanks!
According to the docs, json.loads() takes a str, bytes or bytearray as argument. So if you want to load a json file this way, you should pass the content of the file instead of its path.
import json
file = open("file.json", "r") # Opens file.json in read mode
file_data = file.read()
json_data = json.loads(file_data)
file.close() # Remember to close the file after using it
You can also use json.load() which takes a FILE as argument
import json
file = open("file.json", "r")
json_data = json.load(file)
file.close()
your script needs to open the file to get a file handle, than we can read the json.
this sample contains code that can read the json file. to simulate this, it uses a string that is identical with the data coming from the file.
import json
#this is to read from the real json file
#file_name = 'email.json'
#with open(file_name, 'r') as f_obj:
#json_data = json.load(f_obj)
# this is a string that equals the result from reading json file
json_data = '{"Clear":"Pass","Email":"noname#email.com","ID":1234}'
json_data = json.loads(json_data)
print (json_data["Email"])
result: noname#email.com
import json
with open("file.json", 'r') as f:
file_content = f.read()
#convert json to python dict
tmp = json.loads(file_content)
email = tmp["Email"]
As already pointed out in previous comments, json.loads() take contents of a file rather than a file.

Reading a text file of dictionaries stored in one line

Question
I have a text file that records metadata of research papers requested with SemanticScholar API. However, when I wrote requested data, I forgot to add "\n" for each individual record. This results in something looks like
{<metadata1>}{<metadata2>}{<metadata3>}...
and this should be if I did add "\n".
{<metadata1>}
{<metadata2>}
{<metadata3>}
...
Now, I would like to read the data. As all the metadata is now stored in one line, I need to do some hacks
First I split the cluttered dicts using "{".
Then I tried to convert the string line back to dict. Note that I do consider line might not be in a proper JSON format.
import json
with open("metadata.json", "r") as f:
for line in f.readline().split("{"):
print(json.loads("{" + line.replace("\'", "\"")))
However, there is still an error message
JSONDecodeError: Expecting property name enclosed in double quotes: line 1 column 2 (char 1)
I am wondering what should I do to recover all the metadata I collected?
MWE
Note, in order to get metadata.json file I use, use the following code, it should work out of the box.
import json
import urllib
import requests
baseURL = "https://api.semanticscholar.org/v1/paper/"
paperIDList = ["200794f9b353c1fe3b45c6b57e8ad954944b1e69",
"b407a81019650fe8b0acf7e4f8f18451f9c803d5",
"ff118a6a74d1e522f147a9aaf0df5877fd66e377"]
for paperID in paperIDList:
response = requests.get(urllib.parse.urljoin(baseURL, paperID))
metadata = response.json()
record = dict()
record["title"] = metadata["title"]
record["abstract"] = metadata["abstract"]
record["paperId"] = metadata["paperId"]
record["year"] = metadata["year"]
record["citations"] = [item["paperId"] for item in metadata["citations"] if item["paperId"]]
record["references"] = [item["paperId"] for item in metadata["references"] if item["paperId"]]
with open("metadata.json", "a") as fileObject:
fileObject.write(json.dumps(record))
The problem is that when you do the split("{") you get a first item that is empty, corresponding to the opening {. Just ignore the first element and everything works fine (I added an r in your quote replacements so python considers then as strings literals and replace them properly):
with open("metadata.json", "r") as f:
for line in f.readline().split("{")[1:]:
print(json.loads("{" + line).replace(r"\'", r"\""))
As suggested in the comments, I would actually recommend recreating the file or saving a new version where you replace }{ by }\n{:
with open("metadata.json", "r") as f:
data = f.read()
data_lines = data.replace("}{","}\n{")
with open("metadata_mod.json", "w") as f:
f.write(data_lines)
That way you will have the metadata of a paper per line as you want.

How do I loop through a multiple delimited JSON file over Python?

I'm facing problem to loop over multiple delimited JSON, following is my JSON file content:
[{"Timestamp":"2019-05-17T18:00:00.19+08:00","Items":[{"Name":"CurrentTaskSequence","Body":{"Status":"3","Type":"MachineInfo"}}}]]
[{"Timestamp":"2019-05-17T18:00:10.502+08:00","Items":[{"Name":"CurrentTaskSequence","Body":{"Status":"1","Type":"MachineInfo"}}}]]
[{"Timestamp":"2019-05-17T18:00:05.814+08:00","Items":[{"Name":"CurrentTaskSequence","Body":{"Status":"9","Type":"MachineInfo"}}}]]
It doesnt work, unless I did the manually adding the commas (,) after the row work as below:
[{"Timestamp":"2019-05-17T18:00:00.19+08:00","Items":[{"Name":"CurrentTaskSequence","Body":{"Status":"3","Type":"MachineInfo"}}}],
{"Timestamp":"2019-05-17T18:00:10.502+08:00","Items":[{"Name":"CurrentTaskSequence","Body":{"Status":"1","Type":"MachineInfo"}}}],
{"Timestamp":"2019-05-17T18:00:05.814+08:00","Items":[{"Name":"CurrentTaskSequence","Body":{"Status":"9","Type":"MachineInfo"}}}]]
def main():
#Read json file
f = open('/home/amirizzat/Desktop/data.json')
data = json.load(f)
f.close()
#Print json
print(data)
#call main
main()
So it appears that your file isn't exactly JSON, instead it has lines and the content of each line is JSON.
You could do something like
with open('/home/amirizzat/Desktop/data.json') as f:
data = [json.loads(line) for line in f]
print(data)
That loops over the lines and deserializes the JSON for each one, putting the results in an array.

Write Python dictionary obtained from JSON in a file

I have this script which abstract the json objects from the webpage. The json objects are converted into dictionary. Now I need to write those dictionaries in a file. Here's my code:
#!/usr/bin/python
import requests
r = requests.get('https://github.com/timeline.json')
for item in r.json or []:
print item['repository']['name']
There are ten lines in a file. I need to write the dictionary in that file which consist of ten lines..How do I do that? Thanks.
To address the original question, something like:
with open("pathtomyfile", "w") as f:
for item in r.json or []:
try:
f.write(item['repository']['name'] + "\n")
except KeyError: # you might have to adjust what you are writing accordingly
pass # or sth ..
note that not every item will be a repository, there are also gist events (etc?).
Better, would be to just save the json to file.
#!/usr/bin/python
import json
import requests
r = requests.get('https://github.com/timeline.json')
with open("yourfilepath.json", "w") as f:
f.write(json.dumps(r.json))
then, you can open it:
with open("yourfilepath.json", "r") as f:
obj = json.loads(f.read())

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