fetches | make requests , in an easy and scalable way | REST library
kandi X-RAY | fetches Summary
kandi X-RAY | fetches Summary
Fetches is a workaround to make requests, in an easy and scalable way. With Fetches you can define your main settings (URL, Auth Header, Request Type, etc), in a single place and then make requests using this info.
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fetches Examples and Code Snippets
Lines of Code : 132License : Non-SPDX (Apache License 2.0)
Copydef prune(self, feeds, fetches, name=None, input_signature=None):
"""Extract a subgraph of this function's underlying graph.
Wraps the subgraph in a new `WrappedFunction` object.
Args:
feeds: Input tensors to the subgraph to extra def make_callable(self, fetches, feed_list=None, accept_options=False):
"""Returns a Python callable that runs a particular step.
The returned callable will take `len(feed_list)` arguments whose types
must be compatible feed values for t def fetch_pharmacy_and_price_list(drug_name: str, zip_code: str) -> list | None:
"""[summary]
This function will take input of drug name and zipcode,
then request to the BASE_URL site.
Get the page data and scrape it to the genera Community Discussions
Trending Discussions on fetches
QUESTION
I'm trying to understand how the "fetch" phase of the CPU pipeline interacts with memory.
Let's say I have these instructions:
...ANSWER
Answered 2021-Jun-15 at 16:34It varies between implementations, but generally, this is managed by the cache coherency protocol of the multiprocessor. In simplest terms, what happens is that when CPU1 writes to a memory location, that location will be invalidated in every other cache in the system. So that write will invalidate the line in CPU2's instruction cache as well as any (partially) decoded instructions in CPU2's uop cache (if it has such a thing). So when CPU2 goes to fetch/execute the next instruction, all those caches will miss and it will stall while things are refetched. Depending on the cache coherency protocol, that may involve waiting for the write to get to memory, or may fetch the modified data directly from CPU1's dcache, or things might go via some shared cache.
QUESTION
ANSWER
Answered 2021-Jun-15 at 11:40item here is a Map.
QUESTION
I'm trying to apply some SQL optimization for GraphQL queries containing relations. I use Prisma (v. 2.24.1), Nexus (v. 1.0.0), nexus-plugin-prisma (v. 0.35.0) and graphql (v. 15.5.0).
schema.prisma:
...ANSWER
Answered 2021-Jun-15 at 05:04There's a community made plugin that you can use that handles all the heay lifting: https://paljs.com/plugins/select/
QUESTION
Hey, I am working on putting up a rocket rest api with a mongodb database.
I have been able to create a successful connection to the MongoDB Atlas and put the resulting client into the state management of rocket via the manage builder function like this:
ANSWER
Answered 2021-Jun-14 at 20:39This has been resolved. See above for the solution. It is marked with a header saying solution.
QUESTION
Assume we have a redis set with hundreds thousands elements in it. As smember command does eager-loading, it fetches all of the elements just by this one command and consequently it consumes too much time. I want to know is there a way to read redis data as bulks or maybe as a stream?
ANSWER
Answered 2021-Jun-14 at 12:35Data from Redis Set data structure can be read in bulks using SSCAN command.
QUESTION
It excites me to see rxjs observables in action and it confuses every single time, but each time I fell more in love with them.
Well, I have three observables -
- an observable that refreshed based on timer
this.autoRefreshView$ - a default observable that fetches based on today date
this.intraDayView - an observable that fetches based on yesterday's date (let's say)
this.priorDayView$
There is a BehaviourSubject<> that emits if default observable view is to be fetched (based on current date) or yesterday's view based on a view property - today or yesterday.
I want to execute this.autoRefreshView$ only when emitted value is today. But, below it's executed if value is yesterday as well. Is my merge here incorrect? Following is what I tried -
ANSWER
Answered 2021-Jun-11 at 12:33The reason autoRefresh$ continues to be executed, is because you are using mergeMap, which will create an additional "inner observable" every time it receives an emission. It does not stop listening to the previous source, which continues to propagate emissions from autoRefresh$.
You can instead use switchMap which maintains only a single inner source; so it stops listening to old sources when it receives a new emission:
QUESTION
Hello All! I am trying to implement a cart for a simple website that fetches from an API. So my render method looks something like this...
...ANSWER
Answered 2021-Jun-14 at 06:24Seems cartTotal is just a value representing the total value in the cart. It's not a function from what I can tell.
You can see by the state interface it's a number:
QUESTION
I'm trying to fetch data from my Strapi GraphQl api and paginate them. For that I need to pass down variables. I'm using react-query and fetch api.
Here I declare my variables and query.
...ANSWER
Answered 2021-Jun-13 at 14:43From a react-query specific perspective, it looks good:
- having all variables as part of the query key
- passing them correctly to the queryFn
I'm no graphQL expert, but looking at this example blog post on how to use graphql with fetch, you need to pass variables next to the query as the body of your fetch request.
Something like:
QUESTION
I'm running a hour long computation that fetches an external API, process it and save to a dataframe. The API is using Python's request library.
By tweaking the request lib, I managed to fend off problems related to retries and reading errors, but not all possible problems are handled, of course.
Everytime the API fails, my computation just stops, and I lose one hour worth of work.
I'm calling dask like this:
...ANSWER
Answered 2021-Jun-13 at 13:13By running .compute on the dask dataframe you are converting it into a pandas dataframe in memory. If you want a future object, then you can run:
QUESTION
According to the libevent book:
Deferred callbacks
By default, a bufferevent callbacks are executed immediately when the corresponding condition happens. (This is true of evbuffer callbacks too; we’ll get to those later.) This immediate invocation can make trouble when dependencies get complex. For example, suppose that there is a callback that moves data into evbuffer A when it grows empty, and another callback that processes data out of evbuffer A when it grows full. Since these calls are all happening on the stack, you might risk a stack overflow if the dependency grows nasty enough.
To solve this, you can tell a bufferevent (or an evbuffer) that its callbacks should be deferred. When the conditions are met for a deferred callback, rather than invoking it immediately, it is queued as part of the event_loop() call, and invoked after the regular events' callbacks.
As described above:
- The event loop fetches a batch of events, and processes them one by one immediately.
- Before the fetched events are processed, any new event won't be fetched and processed.
- If an event was marked as
BEV_OPT_DEFER_CALLBACKS, then it will be processed after all other events in the same batch are processed.
Provided two callbacks ca and cb. First, ca is called, ca finds evbuffer_A is empty, then writes a message into it.
Then, cb is called, and cb finds evbuffer_A contains a message, then fetch and send it out.
When cb is called, ca's stack has been released. I think there won't be a stack overflow in such a scenario.
So, my question is:
What's the purpose of deferred callbacks in libevent?
...ANSWER
Answered 2021-Jun-13 at 07:07The example given in the quoted text is a buffer being filled after one event and emptied after another event.
Consider this non-event driven pseudo-code for the same example.
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