tinydb | lightweight document oriented database | Database library
kandi X-RAY | tinydb Summary
kandi X-RAY | tinydb Summary
TinyDB is a lightweight document oriented database optimized for your happiness :)
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Top functions reviewed by kandi - BETA
- Returns a new query instance that matches the given condition
- Generate a query instance
- Convert obj to FrozenDict
- Return whether the cache is cached
- Check if obj is a sequence
- Wrap the given baseclass with a type hint
- Searches for a given regular expression
tinydb Key Features
tinydb Examples and Code Snippets
from tinydb import TinyDB
db = TinyDB('/path/to/db.json')
db.insert({'int': 1, 'char': 'a'})
db.insert({'int': 1, 'char': 'b'})
from tinydb import TinyDB, Query
User = Query()
db = TinyDB('/path/to/db.json')
# Search for a field value
db.search(Use
"""
Example of Flask-Admin using TinyDB with TinyMongo
refer to README.txt for instructions
Author: Bruno Rocha <@rochacbruno>
Based in PyMongo Example and TinyMongo
"""
import flask_admin as admin
from flask import Flask
from flask_admin.con
class TokenData(BaseModel):
username: Optional[str] = None
expires: Optional[datetime]
@router.get('/user/me')
async def get_current_user(token: str = Depends(oauth2_scheme)):
# get the current user fro
from tinydb import TinyDB, Query
from tinydb.operations import add
db = TinyDB('tinydb_practice.json')
db.insert({'Name':'Bella', 'Places':[]}) # <- replace {} by []
db.update(add('Places', [{'Country':'USA'}])) # <- replace oute
from tinydb import TinyDB, Query
from tinydb.table import Document
data = [{'123': {'title': 'A sample book',
'authors': [{'firstname': 'John', 'lastname': 'Smith'},
{'firstname': 'Foos', 'las
from tinydb import TinyDB
from tinydb.table import Document
# ...
for i in range(12):
resultsDb = TinyDB(f"db/backtestingResults{i}.json")
for result in resultsDb.all():
new_id = i * 100000000 + result.doc_id
res
my_data = # some JSON data
grouped = {}
for datum in my_data:
if datum['email'] in grouped:
grouped[datum['email']].update(datum)
else:
grouped[datum['email']] = datum
# parallelize write as above
from tinydb import TinyDB
from multiprocessing import Process, Lock
def run(lock, params):
resultsDb = TinyDB('db/resultsDb.json')
with lock:
resultsDb.insert({'id': params['id'], 'name': params['name'], 'age': params['ag
for item in db:
table.add_row(str(item.doc_id), item["task"], item["completed_by"], item["status"])
Community Discussions
Trending Discussions on tinydb
QUESTION
ANSWER
Answered 2021-Apr-26 at 15:35You can recompute a new document ID based on the database counter:
QUESTION
I'm using a user-friendly json based document oriented database named TinyDB. But I'm unable to add multiple pieces of data to my database because I'm making use of multiproccesing. After a while I get the error that id x already exists in the database (this because 2 or more processes are trying to add data at the same time). Is there any way to solve this?
Every run I insert new unique params.
Example params:
...ANSWER
Answered 2021-Apr-17 at 16:23If you want to parallelize the data write, you need to break your problem down into smaller steps so that you can ensure the step where you're inserting data has already coalesced everything together. That way you won't have any (obvious) thread safety issues on the write.
For example, suppose your JSON file has three fields, email
, name
, and age
and you want to enforce uniqueness on email
, but some records are double-entered. E.g., there's one entry that has emily@smith.com
with her name, and another with her age.
You'd start by making something to group everything together, then parallelize the write.
I'll sketch some code (note I have not tested this!):
QUESTION
For my app I need values which are parsed by jSoup from a website and then returned to the user using a notification, these values change ~ every minute, so to be up-todate with the values I set up a task using a handler, this works good when the app is in foreground, but as soon as the user goes to the homescreen the app will return multiple exceptions like e.g. java.net.UnknownHostException or java.net.SocketTimeoutException, in the code this happens when jSoup is connecting to the specified site, I already tried using Services and AsyncTasks instead of threads, but it was always the exact same problem, I also searched for people with similar experiences, but I guess my issue is quite specific.
This is the code for the handler:
...ANSWER
Answered 2021-Apr-17 at 16:41The problem was energy saving mode, if it is turned on the phone won't do requests in background / idle mode, no matter the wakelock, I solved my problem by adding a permission, so the app can request data even when the phone is in energy saving standby.
QUESTION
[DISCORD.PY and TINYDB]
I have set up a warning system for Discord. If someone gets warned, the data is saved like so:
...ANSWER
Answered 2021-Mar-09 at 19:11You are getting the TypeError
because your Result
is a list of dictionaries.
Make sure to iterate through Result
and process each dictionary separately.
Your Result
object is like this [{}, {}, {} ...]
Also you shouldn't capitalize the first letter of your variable. You should name it results
, because it may contain more than 1 result.
QUESTION
I am trying to implement AWS Pinpoint in my project for mobile-analytics purposes, when I am trying to create an event in AWS Pinpoint that will be triggered on OnClickListerner. Following is the code snippet. Whenever I am trying to create an event in OnClickListener, that particular event is not recognized, please help me out regarding how it is done.
...ANSWER
Answered 2021-Mar-08 at 19:06inviteButton.setOnClickListener {
val tinyDb = TinyDB(App.ctx)
val userDetails = tinyDb.getCurrentUserCachedDetails()
val userAttributesMap = userDetails.attributes.attributes
val username =
userAttributesMap[SettingsFragment.KEY_FIRST_NAME] + " " + userAttributesMap[SettingsFragment.KEY_LAST_NAME]
val Email = tinyDb.getString(getString(R.string.logged_in_user))
val event = AnalyticsEvent.builder()
.name("invites")
.addProperty("email", Email)
.build()
log { "Invite event"+ event }
Amplify.Analytics.recordEvent(event)
log { "Invite here 11"+ Amplify.Analytics.recordEvent(event) }
val project = ProjectRepository(ProjectDao()).getProjectById(projectCode)
val bitmap =
BitmapFactory.decodeResource(resources, R.drawable.project_invite)
val mutableBitmap = bitmap.copy(Bitmap.Config.ARGB_8888, true)
val canvas = Canvas(mutableBitmap)
val scale = resources.displayMetrics.density
val paint = Paint(Paint.ANTI_ALIAS_FLAG).apply {
color = Color.BLACK
textSize = 100 * scale
}
canvas.drawText(
projectCode.toString(),
400.toFloat() * scale,
440.toFloat() * scale,
paint
)
val originalFile = File(App.ctx.externalMediaDirs[0], "project_invite.png")
originalFile.createNewFile()
val originalFileBos = ByteArrayOutputStream()
mutableBitmap.compress(Bitmap.CompressFormat.PNG, 0, originalFileBos)
val originalFileByteArray = originalFileBos.toByteArray()
val originalFileFos = FileOutputStream(originalFile)
originalFileFos.write(originalFileByteArray)
originalFileFos.flush()
originalFileFos.close()
val defaultSmsApp = Telephony.Sms.getDefaultSmsPackage(App.ctx)
val intent = Intent(Intent.ACTION_SEND)
intent.putExtra(
Intent.EXTRA_STREAM,
FileProvider.getUriForFile(
App.ctx,
"${App.ctx.packageName}.fileprovider",
originalFile
)
)
intent.putExtra(Intent.EXTRA_TEXT, message)
intent.putExtra("sms_body", message)
intent.type = "image/png"
defaultSmsApp?.let {
intent.`package` = it
try {
activity?.startActivity(intent)
} catch (e: ActivityNotFoundException) {
e { e }
toastError("Unable to open SMS app.")
}
} ?: toastError("No default SMS app found.")
}
QUESTION
I have a tinydb json file but I noticed that at a certain point it refuses to write more items to the json file and throws an error while parsing because it cut off in the middle of writing an item
This is the traceback. It shows the json parser failing to parse because the writer cut off writing in the middle of an item
...ANSWER
Answered 2021-Feb-11 at 11:14The reason this happened was because multiple threads were writing to the db file at the same time so I ended up manually writing to multiple files: one for every entry
QUESTION
I am trying to have a login system where user input will be crosschecked with tinydb's json file. I managed to get the registration working but when I try logging in I got this error.
TypeError: unsupported operand type(s) for &: 'list' and 'QueryInstance'
I tried removing password verification and it worked. Not entirely sure the reason behind it. Would be great if I can receive some guidance as to what went wrong. Thanks!
...ANSWER
Answered 2020-Dec-30 at 23:11It should have been and
not &
. The operand and
will check both the conditions that you are trying to validate whereas &
does a bitwise AND and it doesn't like the types of data provided for the bitwise
AND, hence the error.
QUESTION
I run this basic code snippets from the TinyDB package manual:
...ANSWER
Answered 2020-Dec-19 at 18:19Ok Ok. I just had a very old manual here. Here a newer one: new manual TinyDB
It seems they changed db.purge() to db.truncate()..
QUESTION
I am trying to list out the content of db.json from this github (https://github.com/syntaxsmurf/todo/blob/main/main.py) on line 40 in main.py
Specifically this line
...ANSWER
Answered 2020-Nov-27 at 09:38From reddit user azzal07: item.doc_id would be the correct implementation of this.
QUESTION
This is what my structure looks like:
...ANSWER
Answered 2020-Aug-23 at 17:23TinyDB expects an indexed table document, not a list. Unless you want to write a custom middleware for your TinyDB, you'll either have to modify your JSON
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tinydb
You can use tinydb like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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