Today on "How the Fuck is Python a Real Language?": Lambda functions and other dumb Python syntax.

Lambda functions are generally passed as callbacks, e.g. "myFunc(a, b, lambda c, d: c + d)". Note that the comma between c and d is somehow on a completely different level than the comma between a and b, even though they're both within the same brackets, because instead of using something like, say, universally agreed-upon grouping symbols to visually group the lambda function arguments together, Python groups them using a reserved keyword on one end, and two little dots on the other end. Like yeah, that's easy to notice among 10 other variable and argument names. But Python couldn't really do any better, because "myFunc(a, b, (c, d): c + d)" would be even less readable and prone to typos given how fucked up Python's use of brackets already is.

And while I'm on the topic of dumb Python syntax, let's look at the switch, um, match statements. For a long time, people behind Python argued that a bunch of elif statements with the same fucking conditions (e.g. x == 1, x == 2, x == 3, ...) are more readable than a standard switch statement, but then in Python 3.10 (released only 1 year ago), they finally came to their senses and added match and case keywords to implement pattern matching. Except they managed to fuck up yet again; instead of a normal "default:" statement, the default statement is denoted by "case _:". Because somehow, everywhere else in the code _ behaves as a normal variable name, but in match statement it instead means "ignore the value in this place". For example, "match myVar:" and "case [first, *rest]:" will behave exactly like "[first, *rest] = myVar" as long as myVar is a list with one or more elements, but "case [_, *rest]:" won't assign the first element from the list to anything, even though "[_, *rest] = myVar" will assign it to _. Because fuck consistency, that's why.

And why the fuck is there no fallthrough? Wouldn't it make perfect sense to write

case ('rgb', r, g, b):
case ('argb', _, r, g, b):
case ('rgba', r, g, b, _):
case ('bgr', b, g, r):
case ('abgr', _, b, g, r):
case ('bgra', b, g, r, _):

and then, you know, handle r, g, and b values in the same fucking block of code? Pretty sure that would be more readable than having to write "handeRGB(r, g, b)" 6 fucking times depending on the input format. Oh, and never mind that Python already has a "break" keyword.

Speaking of the "break" keyword, if you try to use it outside of a loop, you get an error "'break' outside loop". However, there's also the "continue" keyword, and if you try to use it outside of a loop, you get an error "'continue' not properly in loop". Why the fuck are there two completely different error messages for that? Does it mean there exists some weird improper syntax to use "continue" inside of a loop? Or is it just another inconsistent Python bullshit where until Python 3.8 you couldn't use "continue" inside the "finally:" block (but you could always use "break", even though it does essentially the same thing, just branching to a different point).

My first serverless experience

Hey guys! lambda is amazing! Docker containers! They said the whole amazing point with containers is that they run the same everywhere! Except not really, because lambda 'containers' are an abomination of *nix standards with arbitrary rules that really don't make sense! That's ok though, you can push your shit to fargate, then it will work more like those docker containers you know and love and can run locally! Oh wait! fargate is a pain in the ass x 2 just to setup! You want to expose your REST api running on a container to the world? well ha, you'd better be ready to spend literally 2 weeks to configure every fucking piece of technology that every existed just to do that!!!! it's great, AWS, i love it, i'm so fucking big brained smart!!!

give me a break.... back in my day you'd set up an nginx instance, put your REST / websocket / graphQL service whatever behind it, and call it a day!!!!!!!

even with tools like pulumi or terraform this is a pain in the ass and a half, i mean what are we really doing here folks

way too complicated, the whole AWS infrastructure is setup for companies who need such a level of granularity because they have 1 billion users daily... too bad there are like 5 companies on the planet who need this level of complexity!!!!!!!

oh, and if your ego is bashed because of this post, maybe reread it and realize you're the 🤡

i'm unhappy because i was lied to. docker containers are docker containers, until they aren't. *nix standards are *nix standards, until they aren't

bed time.

Is the CS field creating terms for the sake of creating terms?

Someone mentioned a "closure" in another post. I instinctively knew what they meant by that based upon the code I saw. I had heard the term thrown around before, but it had not yet connected in my mind. I wondered why I had not been exposed enough to care.

So I thought: What does C++ have as far as closures?

I found that C++ has lambdas. Those are definitions for function objects. They do not exist at runtime. But a closure does. The analog is you have classes. They are definitions and do not exist at runtime. But instances of classes do. So at runtime the instance is what you are working with. This is the same as lambdas vs closures in C++. The closure is the runtime counterpart. Why a separate term for what essentially is an instance? Is it because it captures data and code? As far as I know the closure is all data that gets passed around that calls a function. So it is essentially an instance of a lambda.

Another term: memoization. I have yet to see this added to any dictionary in online tools like a browser. Is the term so specific that nobody cares to add it? I mean these are tools programmers use all the time.

My guess is these terms originated a long time ago and I have just not been exposed to the contexts for these terms enough. It just seems like I feel like I have been in the field a long time. But a lot of terms seem alien to me. I also have never seen these terms used at work. Many of the devs I work with actively avoid CS specific terms to not confuse our electrical coworkers. My background started in electrical. So maybe I just didn't do enough CS in college.

"Hey, we've made these deprecating changes for the whole company"... "but no migration guide, deal with it"

I did not think that making a serverless Discord bot would be such a learning experience. The code itself was easy. The hard part was the infrastructure, because I decided to automate it all with Terraform and deploy it on AWS.

Before this project, I had no idea how API Gateways worked. Now I still have very little idea how they work but I managed to build one anyway. Eventually. And then I had to figure out how to automate the deployment of a lambda layer and function that would both still be managed in the Terraform state, with any code changes triggering a rebuild and update for the resource.

And then I had to untangle a dependency mess because API Gateways have some weird issues where two resources that have no explicit dependencies on each other will throw an error if they don't deploy in the right order.

And then I went the wrong way with Github actions trying to conditionally chain multiple workflows together before I realized I could just put multiple jobs with conditions in a single workflow.

And now after all that work over the course of 2 days, I have a bot that does this:

7 days in, still can't get anything more than the infinitely seen tutorial GET / request working on a lambda function.

Oh, you've got something more complex, god forbid a POST handler? well, prepare yourself for days of suffering.

how far can you really go from standard software patterns?

Giving it about 20 more minutes and i'm going full self-managed, I don't have time for this shit

λ🤡

My preprocessor is just generalized kerning, the macros are variations on the single well-known proof for the Turing-completeness of GK, the type system will probably be a Prolog reskin so simple the translator can be a FSM, the type inference algo is the original HM algorithm which I don't even need to change, the core language is Lambda calculus and no more, and the backend might just be Erlang itself if my research confirms that extending LLVM until it consistently beats Erlang is unrealistic.

I invented nothing, I create nothing. All I do is plug circles into square holes and fill the gaps with play dough.

Started working for a new company as a data lead, created a couple of basic lambda functions for a pipeline... 5 approvals and three weeks later the functions haven't even been pushed to UAT (which I'm not allowed access to).. Have I been lucky before or is this dysfunctional..?

Can you give me some tips on how to debug a massive app? (Android app running on android studio which is basically intellij idea).

For example I need to fix a bug where a certain action results in unexpected behaviour.

But oh my god the codebase is so large (mainly architecture is MVVM and rxjava) that searching for the specific place is like searching for a needle in haystack.

For example I added a breakpoint in few places, but I can see only like 4 or 5 last frames in the stack that led to the current action, last frame is a lambda which doesnt help me so frankly Im unable to even track where current event started. I am loosing my mind. I cant even find where the buttonclick action started because everything is reactive and done with observables which can be anywhere.

Any tips on debugging will be appreciated

The fact that i no longer have to bother knowing or googling about generic java classes, lambda expression, regex, SQL syntax etc, and just ask ChatGPT to show me a code example of it - blows my fucking brain off

In summary, you would use AWS Lambda when you want to run code in response to events, without having to manage servers, and you would use EC2 when you want more control over the infrastructure or when you need specific operating systems or runtime environments for your applications.

Ok. If you had a blog made with next.js and mongodb, and you are too depressed and lazy to learn AWS lambda/serverless, where would you deploy?

I have the following scenario with a proposed solution, can anyone please confirm it is a secure choice:
- We have critical API keys that we do not want to ship with the app because de-compiling will give access to those keys, and the request is done before the user logs in, we are dealing with guests

Solution:
- Add a Lambda function which accepts requests from the app and returns the API keys
- Lambda will accept the following:
1. Android app signing key sha1
2. iOS signing certificate sha1
- If lambda was able to validate them API keys are sent back.

My concerns:
- Can an attacker read the request from the original (non-tampered) apk and see what the actual sha1 value is on his local network?
- If the answer to the question above is yes, what is the recommended way to validate that the request received is actually from the app that we shipped and not from curl/postman/script/modified version of the app

Working on a feature which heavies relies on a data pipeline. I noticed it is a couple of lambda functions calling each other ( Fuck you to the guy who made it). The best way to get sanity back is build a proper etl pipeline. Any suggestions for building a etl in python with reliability.
Options already considered
1. Celery tasks - Worked well but no overview of the single task progress across celery tasks
2. Airflow - Gives good overview but the docs make less sense than a 10 yr talking. Mostly because they introduced a new syntax and not everything has migrated fully yet. Also no support for reusing dags

Lambda or Ec2, when to use what ?

After completing the startup, all about api calls;

Supabase as server, netlify calls for storing data into supab, some frontend and stripe as payment method, using webhooks to do some logic behind,

I never thought that I could finish it, now I'm answering questions on Quora about it and doing content for it. Feels odd and want to code AGAIN!

Thoughts on Lambda school or FreeCodeCamp? I have a full tome job, pretty hard to go to an actual university and here in Northern Utah, there isn’t a lot of dev jobs here.

I am trying to extract data from the PubSub subscription and finally, once the data is extracted I want to do some transformation. Currently, it's in bytes format. I have tried multiple ways to extract the data in JSON format using custom schema it fails with an error

TypeError: __main__.MySchema() argument after ** must be a mapping, not str [while running 'Map to MySchema']

**readPubSub.py**

import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions
import json
import typing

class MySchema(typing.NamedTuple):
user_id:str
event_ts:str
create_ts:str
event_id:str
ifa:str
ifv:str
country:str
chip_balance:str
game:str
user_group:str
user_condition:str
device_type:str
device_model:str
user_name:str
fb_connect:bool
is_active_event:bool
event_payload:str

TOPIC_PATH = "projects/nectar-259905/topics/events"

def run(pubsub_topic):
options = PipelineOptions(
streaming=True
)
runner = 'DirectRunner'

print("I reached before pipeline")

with beam.Pipeline(runner, options=options) as pipeline:
message=(
pipeline
| "Read from Pub/Sub topic" >> beam.io.ReadFromPubSub(subscription='projects/triple-nectar-259905/subscriptions/bq_subscribe')#.with_output_types(bytes)
| 'UTF-8 bytes to string' >> beam.Map(lambda msg: msg.decode('utf-8'))
| 'Map to MySchema' >> beam.Map(lambda msg: MySchema(**msg)).with_output_types(MySchema)
| "Writing to console" >> beam.Map(print))

print("I reached after pipeline")
result = message.run()
result.wait_until_finish()

run(TOPIC_PATH)

If I use it directly below

message=(
pipeline
| "Read from Pub/Sub topic" >> beam.io.ReadFromPubSub(subscription='projects/triple-nectar-259905/subscriptions/bq_subscribe')#.with_output_types(bytes)
| 'UTF-8 bytes to string' >> beam.Map(lambda msg: msg.decode('utf-8'))
| "Writing to console" >> beam.Map(print))

I get output as

{
'user_id': '102105290400258488',
'event_ts': '2021-05-29 20:42:52.283 UTC',
'event_id': 'Game_Request_Declined',
'ifa': '6090a6c7-4422-49b5-8757-ccfdbad',
'ifv': '3fc6eb8b4d0cf096c47e2252f41',
'country': 'US',
'chip_balance': '9140',
'game': 'gru',
'user_group': '[1, 36, 529702]',
'user_condition': '[1, 36]',
'device_type': 'phone',
'device_model': 'TCL 5007Z',
'user_name': 'Minnie',
'fb_connect': True,
'event_payload': '{"competition_type":"normal","game_started_from":"result_flow_rematch","variant":"target"}',
'is_active_event': True
}

{
'user_id': '102105290400258488',
'event_ts': '2021-05-29 20:54:38.297 UTC',
'event_id': 'Decline_Game_Request',
'ifa': '6090a6c7-4422-49b5-8757-ccfdbad',
'ifv': '3fc6eb8b4d0cf096c47e2252f41',
'country': 'US',
'chip_balance': '9905',
'game': 'gru',
'user_group': '[1, 36, 529702]',
'user_condition': '[1, 36]',
'device_type': 'phone',
'device_model': 'TCL 5007Z',
'user_name': 'Minnie',
'fb_connect': True,
'event_payload': '{"competition_type":"normal","game_started_from":"result_flow_rematch","variant":"target"}',
'is_active_event': True
}

Please let me know if I m doing something wrong while parsing the data to JSON. Also, I am looking for examples to do data masking and run some SQL within Apache Beam