i'm using micropython in the newest version. I also us an DS18b20 temperature sensor. An adress of theses sensor e.g. is "b'(b\xe5V\xb5\x01<:'". These is the string representation of an an bytearray. If i use this to save the adress in a json file, i run in some problems:
If i store directly "b'(b\xe5V\xb5\x01<:'" after reading the json-file there are no single backslahes, and i get b'(bxe5Vxb5x01<:' inside python
If i escape the backslashes like "b'(b\xe5V\xb5\x01<:'" i get double backslashes in python: b'(b\xe5V\xb5\x01<:'
How do i get an single backslash?
Thank you
You can't save bytes in JSON with micropython. As far as JSON is concerned that's just some string. Even if you got it to give you what you think you want (ie. single backslashes) it still wouldn't be bytes. So, you are faced with making some form of conversion, no-matter-what.
One idea is that you could convert it to an int, and then convert it back when you open it. Below is a simple example. Of course you don't have to have a class and staticmethods to do this. It just seemed like a good way to wrap it all into one, and not even need an instance of it hanging around. You can dump the entire class in some other file, import it in the necessary file, and just call it's methods as you need them.
import math, ujson, utime
class JSON(object):
#staticmethod
def convert(data:dict, convert_keys=None) -> dict:
if isinstance(convert_keys, (tuple, list)):
for key in convert_keys:
if isinstance(data[key], (bytes, bytearray)):
data[key] = int.from_bytes(data[key], 'big')
elif isinstance(data[key], int):
data[key] = data[key].to_bytes(1 if not data[key]else int(math.log(data[key], 256)) + 1, 'big')
return data
#staticmethod
def save(filename:str, data:dict, convert_keys=None) -> None:
#dump doesn't seem to like working directly with open
with open(filename, 'w') as doc:
ujson.dump(JSON.convert(data, convert_keys), doc)
#staticmethod
def open(filename:str, convert_keys=None) -> dict:
return JSON.convert(ujson.load(open(filename, 'r')), convert_keys)
#example with both styles of bytes for the sake of being thorough
json_data = dict(address=bytearray(b'\xFF\xEE\xDD\xCC'), data=b'\x00\x01\02\x03', date=utime.mktime(utime.localtime()))
keys = ['address', 'data'] #list of keys to convert to int/bytes
JSON.save('test.json', json_data, keys)
json_data = JSON.open('test.json', keys)
print(json_data) #{'date': 1621035727, 'data': b'\x00\x01\x02\x03', 'address': b'\xff\xee\xdd\xcc'}
You may also want to note that with this method you never actually touch any JSON. You put in a dict, you get out a dict. All the JSON is managed "behind the scenes". Regardless of all of this, I would say using struct would be a better option. You said JSON though so, my answer is about JSON.
Related
I am new to JSON file and i'm strugeling to get any information out of it.
The structure of the JSON file is as following:
Json file Structure
Now what I need is to access the "batches", to get the data from each variable.
I did try codes (shown below) i've found to reach deeper keys but somehow i still didnt get any results.
1.
def safeget(dct, *keys):
for key in keys:
try:
dct = dct[key]
except KeyError:
return None
return dct
safeget(mydata,"batches")
def dict_depth(mydata):
if isinstance(mydata, dict):
return 1 + (max(map(dict_depth, mydata.values()))
if mydata else 0)
return 0
print(dict_depth(mydata))
The final goal then would be to create a loop to extract all the information but thats something for the future.
Any help is highly appreciated, also any recommendations how i should ask things here in the future to get the best answers!
As far as I understood, you simply want to extract all the data without any ordering?
Then this should work out:
# Python program to read
# json file
import json
# Opening JSON file
f = open('data.json',)
# returns JSON object as
# a dictionary
data = json.load(f)
# Iterating through the json
# list
for i in data['emp_details']:
print(i)
# Closing file
f.close()
I have uploaded a *.mat file that contains a 'struct' to my jupyter lab using:
from pymatreader import read_mat
data = read_mat(mat_file)
Now I have a multi-dimensional dictionary, for example:
data['Forces']['Ss1']['flap'].keys()
Gives the output:
dict_keys(['lf', 'rf', 'lh', 'rh'])
I want to convert this into a JSON file, exactly by the keys that already exist, without manually do so because I want to perform it to many *.mat files with various key numbers.
EDIT:
Unfortunately, I no longer have access to MATLAB.
An example for desired output would look something like this:
json_format = {
"Forces": {
"Ss1": {
"flap": {
"lf": [1,2,3,4],
"rf": [4,5,6,7],
"lh": [23 ,5,6,654,4],
"rh": [4 ,34 ,35, 56, 66]
}
}
}
}
ANOTHER EDIT:
So after making lists of the subkeys (I won't elaborate on it), I did this:
FORCES = []
for ind in individuals:
for force in forces:
for wing in wings:
FORCES.append({
ind: {
force: {
wing: data['Forces'][ind][force][wing].tolist()
}
}
})
Then, to save:
with open(f'{ROOT_PATH}/Forces.json', 'w') as f:
json.dump(FORCES, f)
That worked but only because I looked manually for all of the keys... Also, for some reason, I have squared brackets at the beginning and at the end of this json file.
The json package will output dictionaries to JSON:
import json
with open('filename.json', 'w') as f:
json.dump(data, f)
If you are using MATLAB-R2016b or later, and want to go straight from MATLAB to JSON check out JSONENCODE and JSONDECODE. For your purposes JSONENCODE
encodes data and returns a character vector in JSON format.
MathWorks Docs
Here is a quick example that assumes your data is in the MATLAB variable test_data and writes it to a file specified in the variable json_file
json_data = jsonencode(test_data);
writematrix(json_data,json_file);
Note: Some MATLAB data formats cannot be translate into JSON data due to limitations in the JSON specification. However, it sounds like your data fits well with the JSON specification.
I store a blob of Json in the datastore using JsonProperty.
I don't know the structure of the json data.
I am using endpoints proto datastore in order to retrieve my data.
The probleme is the json property is encoded in base64 and I want a plain json object.
For the example, the json data will be:
{
first: 1,
second: 2
}
My code looks something like:
import endpoints
from google.appengine.ext import ndb
from protorpc import remote
from endpoints_proto_datastore.ndb import EndpointsModel
class Model(EndpointsModel):
data = ndb.JsonProperty()
#endpoints.api(name='myapi', version='v1', description='My Sample API')
class DataEndpoint(remote.Service):
#Model.method(path='mymodel2', http_method='POST',
name='mymodel.insert')
def MyModelInsert(self, my_model):
my_model.data = {"first": 1, "second": 2}
my_model.put()
return my_model
#Model.method(path='mymodel/{entityKey}',
http_method='GET',
name='mymodel.get')
def getMyModel(self, model):
print(model.data)
return model
API = endpoints.api_server([DataEndpoint])
When I call the api for getting a model, I get:
POST /_ah/api/myapi/v1/mymodel2
{
"data": "eyJzZWNvbmQiOiAyLCAiZmlyc3QiOiAxfQ=="
}
where eyJzZWNvbmQiOiAyLCAiZmlyc3QiOiAxfQ== is the base64 encoded of {"second": 2, "first": 1}
And the print statement give me: {u'second': 2, u'first': 1}
So, in the method, I can explore the json blob data as a python dict.
But, in the api call, the data is encoded in base64.
I expeted the api call to give me:
{
'data': {
'second': 2,
'first': 1
}
}
How can I get this result?
After the discussion in the comments of your question, let me share with you a sample code that you can use in order to store a JSON object in Datastore (it will be stored as a string), and later retrieve it in such a way that:
It will show as plain JSON after the API call.
You will be able to parse it again to a Python dict using eval.
I hope I understood correctly your issue, and this helps you with it.
import endpoints
from google.appengine.ext import ndb
from protorpc import remote
from endpoints_proto_datastore.ndb import EndpointsModel
class Sample(EndpointsModel):
column1 = ndb.StringProperty()
column2 = ndb.IntegerProperty()
column3 = ndb.StringProperty()
#endpoints.api(name='myapi', version='v1', description='My Sample API')
class MyApi(remote.Service):
# URL: .../_ah/api/myapi/v1/mymodel - POSTS A NEW ENTITY
#Sample.method(path='mymodel', http_method='GET', name='Sample.insert')
def MyModelInsert(self, my_model):
dict={'first':1, 'second':2}
dict_str=str(dict)
my_model.column1="Year"
my_model.column2=2018
my_model.column3=dict_str
my_model.put()
return my_model
# URL: .../_ah/api/myapi/v1/mymodel/{ID} - RETRIEVES AN ENTITY BY ITS ID
#Sample.method(request_fields=('id',), path='mymodel/{id}', http_method='GET', name='Sample.get')
def MyModelGet(self, my_model):
if not my_model.from_datastore:
raise endpoints.NotFoundException('MyModel not found.')
dict=eval(my_model.column3)
print("This is the Python dict recovered from a string: {}".format(dict))
return my_model
application = endpoints.api_server([MyApi], restricted=False)
I have tested this code using the development server, but it should work the same in production using App Engine with Endpoints and Datastore.
After querying the first endpoint, it will create a new Entity which you will be able to find in Datastore, and which contains a property column3 with your JSON data in string format:
Then, if you use the ID of that entity to retrieve it, in your browser it will show the string without any strange encoding, just plain JSON:
And in the console, you will be able to see that this string can be converted to a Python dict (or also a JSON, using the json module if you prefer):
I hope I have not missed any point of what you want to achieve, but I think all the most important points are covered with this code: a property being a JSON object, store it in Datastore, retrieve it in a readable format, and being able to use it again as JSON/dict.
Update:
I think you should have a look at the list of available Property Types yourself, in order to find which one fits your requirements better. However, as an additional note, I have done a quick test working with a StructuredProperty (a property inside another property), by adding these modifications to the code:
#Define the nested model (your JSON object)
class Structured(EndpointsModel):
first = ndb.IntegerProperty()
second = ndb.IntegerProperty()
#Here I added a new property for simplicity; remember, StackOverflow does not write code for you :)
class Sample(EndpointsModel):
column1 = ndb.StringProperty()
column2 = ndb.IntegerProperty()
column3 = ndb.StringProperty()
column4 = ndb.StructuredProperty(Structured)
#Modify this endpoint definition to add a new property
#Sample.method(request_fields=('id',), path='mymodel/{id}', http_method='GET', name='Sample.get')
def MyModelGet(self, my_model):
if not my_model.from_datastore:
raise endpoints.NotFoundException('MyModel not found.')
#Add the new nested property here
dict=eval(my_model.column3)
my_model.column4=dict
print(json.dumps(my_model.column3))
print("This is the Python dict recovered from a string: {}".format(dict))
return my_model
With these changes, the response of the call to the endpoint looks like:
Now column4 is a JSON object itself (although it is not printed in-line, I do not think that should be a problem.
I hope this helps too. If this is not the exact behavior you want, maybe should play around with the Property Types available, but I do not think there is one type to which you can print a Python dict (or JSON object) without previously converting it to a String.
I have a Python 3.5 program that creates an inventory of objects. I created a class of Trampolines (color, size, spring, etc.). I constantly will create new instances of the class and I then save a dictionary of them. The dictionary looks like this:
my_dict = {name: instance} and the types are like so {"string": "object"}
My issue is that I want to know how to save this inventory list so that I can start where I left off the last time I closed the program.
I don't want to use pickle because I'm trying to learn secure ways to do this for more important versions in the future.
I thought about using sqlite3, so any tips on how to do this easily would be appreciated.
My preferred solution would state how to do it with the json module. I tried it, but the error I got was:
__main__.Trampoline object at 0x00032432... is not JSON serializable
Edit:
Below is the code I used when I got the error:
out_file = open(input("What do you want to save it as? "), "w")
json.dump(my_dict, out_file, indent=4)
out_file.close()
End of Edit
I've done a good amount of research, and saw that there's also an issue with many of these save options that you can only do one object per 'save file', but that the work around to this is that you use a dictionary of objects, such as the one I made. Any info clarifying this would be great, too!
What you might be able to do is saving the instance's attributes to a CSV-file and then just create it when starting up. This might be a bit too much code and is possible not the best way. One obvious problem is that it doesn't work if you don't have the same amount of attributes as parameters, which should be possible to fix if necessary I believe. I just thought I might try and post and see if it helps :)
import json
class Trampoline:
def __init__(self, color, size, height, spring):
self.color = color
self.size = size
self.height = height
self.spring = spring
def __repr__(self):
return "Attributes: {}, {}, {}, {}".format(self.color, self.size, self.height, self.spring)
my_dict = {
"name1": Trampoline('red', 100, 2.3, True),
"name2": Trampoline('blue', 50, 2.1, False),
"name3": Trampoline('green', 25, 1.8, True),
"name5": Trampoline('white', 10, 2.6, False),
"name6": Trampoline('black', 0, 1.4, True),
"name7": Trampoline('purple', -33, 3.0, True),
"name8": Trampoline('orange', -999, 2.5, False),
}
def save(my_dict):
with open('save_file.txt', 'w') as file:
temp = {}
for name, instance in my_dict.items():
attributes = {}
for attribute_name, attribute_value in instance.__dict__.items():
attributes[attribute_name] = attribute_value
temp[name] = attributes
json.dump(temp, file)
def load():
with open('save_file.txt', 'r') as file:
my_dict = {}
x = json.load(file)
for name, attributes in x.items():
my_dict[name] = Trampoline(**attributes)
return my_dict
# CHECK IF IT WORKS!
save(my_dict)
my_dict = load()
print("\n".join(["{} | {}".format(name, instance) for name, instance in sorted(my_dict.items())]))
Here is an example of a class that handles datetime objects.
class CustomEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj, datetime.datetime):
if obj.tzinfo:
obj = obj.astimezone(isodate.tzinfo.UTC).replace(tzinfo=None)
return obj.isoformat()[:23] + 'Z'
return json.JSONEncoder.default(self, obj)
when you encode to json the default function of the cls is called with object you passed. If you want to handle a type that is not part of the standard json.JSONEncoder.default you need to intercept it and return how you want it handled as a valid json type. In this example I turned the datetime into a str and returned that. If its not one of the types I want to special case, I just pass it along to the standard json.JSONEncoder.default handler.
To use this class you need to pass it in the cls param of json.dump or json.dumps:
json.dumps(obj, cls=CustomEncoder)
Decoding is done the same way but with json.JSONDecoder, json.load, and json.loads. However you can not match on type, so you will need to either add an 'hint' in encoding for decoding or know what type it needs to decode.
For a simple class, you can make an easy serializer as below. This will take all of the properties of your Trampoline object and put them into a dictionary and then into JSON.
class Trampoline(object):
...
def serialize(self):
return json.dumps(vars(self))
If your class is a bit more complicated, then write a more complicated serializer :)
I've been asked to parse a JSON file to get all the buses that are over a specified speed inputed by the user.
The JSON file can be downloaded here
It's like this:
{
"COLUMNS": [
"DATAHORA",
"ORDEM",
"LINHA",
"LATITUDE",
"LONGITUDE",
"VELOCIDADE"
],
"DATA": [
[
"04-16-2015 00:00:55",
"B63099",
"",
-22.7931,
-43.2943,
0
],
[
"04-16-2015 00:01:02",
"C44503",
781,
-22.853649,
-43.37616,
25
],
[
"04-16-2015 00:11:40",
"B63067",
"",
-22.7925,
-43.2945,
0
],
]
}
The thing is: I'm really new to scala and I have never worked with json before (shame on me). What I need is to get the "Ordem", "Linha" and "Velocidade" from DATA node.
I created a case class to enclousure all the data so as to later look for those who are over the specified speed.
case class Bus(ordem: String, linha: Int, velocidade: Int)
I did this reading the file as a textFile and spliting. Although this way, I need to foreknow the content of the file in order to go to the lines after DATA node.
I want to know how to do this using a JSON parser. I've tried many solutions, but I couldn't adapt to my problem, because I need to extract all the lines from DATA node instead of nodes inside one node.
Can anyone help me?
PS: Sorry for my english, not a native speaker.
First of all, you need to understand the different JSON data types. The basic types in JSON are numbers, strings, booleans, arrays, and objects. The data returned in your example is an object with two keys: COLUMNS and DATA. The COLUMNS key has a value that is an array of strings and numbers. The DATA key has a value which is an array of arrays of strings.
You can use a library like PlayJSON to work with this type of data:
val js = Json.parse(x).as[JsObject]
val keys = (js \ "COLUMNS").as[List[String]]
val values = (js \ "DATA").as[List[List[JsValue]]]
val busses = values.map(valueList => {
val keyValues = (keys zip valueList).toMap
for {
ordem <- keyValues("ORDEM").asOpt[String]
linha <- keyValues("LINHA").asOpt[Int]
velocidade <- keyValues("VELOCIDADE").asOpt[Int]
} yield Bus(ordem, linha, velocidade)
})
Note the use of asOpt when converting the properties to the expected types. This operator converts the key-values to the provided type if possible (wrapped in Some), and returns None otherwise. So, if you want to provide a default value instead of ignoring other results, you could use keyValues("LINHA").asOpt[Int].getOrElse(0), for example.
You can read more about the Play JSON methods used here, like \ and as, and asOpt in their docs.
You can use Spark SQL to achieve it. Refer section under JSON Datasets here
In essence, Use spark APIs to load a JSON and register it as temp table.
You can run your SQL queries on the table from there.
As seen on #Ben Reich answer, that code works great. Thank you very much.
Although, my Json had some type problems on "Linha". As it can be seen on the JSON example that I put on the Question, there are "" and also numbers, e.g., 781.
When trying to do keyValues("LINHA").asOpt[Int].getOrElse(0), it was producing an error saying that value flatMap is not a member of Int.
So, I had to change some things:
case class BusContainer(ordem: String, linha: String, velocidade: Int)
val jsonString = fromFile("./project/rj_onibus_gps.json").getLines.mkString
val js = Json.parse(jsonString).as[JsObject]
val keys = (js \ "COLUMNS").as[List[String]]
val values = (js \ "DATA").as[List[List[JsValue]]]
val buses = values.map(valueList => {
val keyValues = (keys zip valueList).toMap
println(keyValues("ORDEM"),keyValues("LINHA"),keyValues("VELOCIDADE"))
for {
ordem <- keyValues("ORDEM").asOpt[String]
linha <- keyValues("LINHA").asOpt[Int].orElse(keyValues("LINHA").asOpt[String])
velocidade <- keyValues("VELOCIDADE").asOpt[Int]
} yield BusContainer(ordem, linha.toString, velocidade)
})
Thanks for the help!