Develop Reference

How can I extract the data from these strings?

I am making a program that consists of scraping data from a job page, and I get to this data
{"job":{"ciphertext":"~01142b81f148312a7c","rid":225177647,"uid":"1416152499115024384","type":2,"access":4,"title":"Need app developers to handle our app upgrades","status":1,"category":{"name":"Mobile Development","urlSlug":"mobile-development"
,"contractorTier":2,"description":"We have an app currently built, we are looking for someone to \n\n1) Manage the app for bugs etc \n2) Provide feature upgrades \n3) Overall Management and optimization \n\nPlease get in touch and i will share more details. ","questions":null,"qualifications":{"type":0,"location":null,"minOdeskHours":0,"groupRecno":0,"shouldHavePortfolio":false,"tests":null,"minHoursWeek":40,"group":null,"prefEnglishSkill":0,"minJobSuccessScore":0,"risingTalent":true,"locationCheckRequired":false,"countries":null,"regions":null,"states":null,"timezones":null,"localMarket":false,"onSiteType":null,"locations":null,"localDescription":null,"localFlexibilityDescription":null,"earnings":null,"languages":null
],"clientActivity":{"lastBuyerActivity":null,"totalApplicants":0,"totalHired":0,"totalInvitedToInterview":0,"unansweredInvites":0,"invitationsSent":0
,"buyer":{"isPaymentMethodVerified":false,"location":{"offsetFromUtcMillis":14400000,"countryTimezone":"United Arab Emirates (UTC+04:00)","city":"Dubai","country":"United Arab Emirates"
,"stats":{"totalAssignments":31,"activeAssignmentsCount":3,"feedbackCount":27,"score":4.9258937139,"totalJobsWithHires":30,"hoursCount":7.16666667,"totalCharges":{"currencyCode":"USD","amount":19695.83
,"jobs":{"postedCount":59,"openCount":2
,"avgHourlyJobsRate":{"amount":19.999534874418824
But the problem is that the only data I need is:
-Title
-Description
-Customer activity (lastBuyerActivity, totalApplicants, totalHired, totalInvitedToInterview, unansweredInvites, invitationsSent)
-Buyer (isPaymentMethodVerified, location (Country))
-stats (All items)
-jobs (all items)
-avgHourlyJobsRate

These sort of data are JSON type data. Python understands these sort of data through dictionary data type.
Suppose you have your data stored in a string. You can use di = exec(myData) to convert the string to dictionary. Then you can access the structured data like: di["job"] which return's the job section of the data.
di = exec(myData)
print(`di["job"]`)
However this is just a hack and it is not recommended because it's a
bit messy and unpythonic.
The appropriate way is to use JSON library to convert the data to dictionary. Take a look at the code snippet below to get an idea of what is the appropriate way:
import json
myData = "Put your data Here"
res = json.loads(myData)
print(res["jobs"])

convert the data to dictionary using json.loads
then you can easily use the dictionary keys that your want to lookup or filter the data.

This seems to be a dictionary so you can extract something from it by doing: dictionary["job"]["uid"] for example. If it is a Json file convert the data to a Python dictionary

Store data from get API into Database using Python 3

I've seen an example on how to store data coming from get API to sqlite db from the following link Insert data into sqlite3 database with API.
However, I couldn't understand this part of the code:
drivers = d["MRData"]["DriverTable"]["Drivers"]
Can someone please show me how we can store data from APi as shown in the shared link or at least clarification of that line of the code which I didn't understand?
Thanks

There is a nesting in the d json object. so the above example is accessing the json like this:
d = {
"MrData":{
"DriverTable":{
"Drivers":{
"familyName": "albert",
"permanentNumber": 200
}
}
}
}
I hope this illustrates what is going on

Adding new values with same keys to existing document in Firestore firebase without overwriting

I am trying to add data to the Firestore database without overwriting it. The data is in the format written below and has numerous other "Question" in the same format and I want to add this to just one document.
{
"Question": String,
"Answer": String,
}
The same question has been asked here but it covers it in java and not in python. I have tried updating it and setting it but it has only been overwriting it.
Note that all of my Questions are elements in a list in this format:
['{\n "Question": String,\n "Answer":String \n}, ...]
What I am currently doing in my code is going through the array and performing the code below:
doc_ref = db.collection(u"Questions").document(u"ques")
doc_ref.update(questionsAnswers)
but this only leaves me with the last question added to the database.

Use the update method to change the contents of an existing document as shown in the documentation.
city_ref = db.collection(u'your-collection').document(u'your-document')
city_ref.update({u'your-field': u'your-field-value'})
I suggest also using the API documentation.

Work with nested objects using couchdb-python

Disclaimer: Both Python and CouchDB are new for me. So far my "programming" has mostly consisted of Bash scripts.
I'm trying to create a small script that updates objects in a CouchDB database. The objects however aren't created by my script but by an App called Tap Forms that uses CouchDB for sync. Basically I'm trying to automatically update the content of the app. That also means I can't really influence the structure or names of the objects in CouchDB.
The Database is mostly filled with objects of this structure:
{
"_id": "rec-3b17...",
"_rev": "21-cdf6...",
"values": {
"fld-c3d4...": 4,
"fld-1def...": 1000000000000,
"fld-bb44...": 760000000000,
"fld-a44f...": "admin,name",
"fld-5fc0...": "SSD",
"fld-642c...": true,
},
"deviceName": "MacBook Air",
"dateModified": "2019-02-08T14:47:06.051Z",
"dateCreated": "2019-02-08T11:33:00.018Z",
"type": "frm-7ff3...",
"dbID": "db-1435...",
"form": "frm-7ff3..."
}
I shortened the numbers a bit and removed some entries to increase readability.
Now the actual values I'm trying to update are within the "values" : {...} array (or object, or list, guess I don't have much experience with JSON either).
As I know some of these values, I managed to create view that finds the _id of an object on the server. I then use the python-couchdb module as described in documentation:
for item in db.view('CustomViews/test2', key="GENERIC"):
doc = db[item.id]
This gives me the object. However I want to update one of the values within the values array, lets say fld-c3d4.... But how? Using doc['values'] = 'new_value' updates the whole array. I tried other (seemingly logical) ways along the lines of doc['values['fld-c3d4']'] = 'new_value' but couldn't wrap my head around it. I couldn't find an example in any documentation.

So here's a example how to update the fld-c3d4.
You have your document that represent a dictionary with nested dictionary.
If you want to get the values, you will do something like this:
values = doc['values']
Now the variable values points to the values in your document.
From there, you can access a sub value:
values['fld-c3d4'] = 'new value'
If you want to directly update the value from the doc, you just have to chain those operations:
doc['values']['fld-c3d4'] = 'new value'

What is the best way to search millions of JSON files?

I've very recently picked up programming in Python and am working on creating a database.
I've already worked out extracting all these files from their source so they are all in a directory on my computer.
All of these files are structured the same way and what I want to do is search these multidimensional dictionaries and locate the value for a specific set of keys.
These json files are all structured similarly,
{
"userid": 34535367,
"result": {
"list": [
{
"name": 264,
"age": 64,
"id": 456345345
},
{
"name": 263,
"age": 42,
"id": 364563463456
}
]
}
}
In my case, I would like to search for the "name" key and return the relevant data(quality, id and the original userid) for the thousands of names just like it from my millions of JSON files.
Basically I'm very new at this and the little programming knowledge I have is in Python. I'm happy to start learning whatever I need to, but I'm not sure which direction to go.

If your goal is to create a database, then you should look on how databases work and solve the same problem you are trying to solve right now :)
NoSQL databases (like mangodb) work also with json documents and implements most likely a whole set of tools to search and filter documents.
Now to answer your question, there is no quick way to do so unless you do some preprocessing, meaning that you store different information about the data (called metadata).
This is a huge subject and I don't have enough expertise to give you all the answers, but I can give you a simple tip: Use indexes.
An index is a sorted key/value map where for every value, we store the documents that contains that value (or the file + position of the Json document) . For example an index for the name property would like this:
{
263: ('jsonfile10.json', '0')
264: ('jsonfile10.json', '30'),
# The json document can be found on the jsonfile10.json file on line 30
}
By keeping an index for the most queried values, you can turn a linear time search into a logarithmic time search not to mention that inserting a new document is much faster. in your case, you seems to only need an index on the name field.
Creating/updating the index is done when you insert, update or remove a document. Using a balanced binary tree can accelerate the updates on the index.

As a suggestion, why don't you just process all the incoming files and insert the data into a database? You will have a toolset to query that database. SQLite for example will do (as well as any other more sophisticated database):
http://www.sqlite.org/
http://docs.python.org/2/library/sqlite3.html
Simple other solution might be to build a file mapping name_id to /file/path. Then you can logarithmically do a binary search by the name id. But I'd still advise using a proper database as maintaining the index will be more cumbersome than doing some inserts/deletes.