The Firebase CLI does not support deploying functions written in python.

You can certainly [write Cloud Firestore triggers in python][1] and deploy them with gcloud.

One thing you might not be aware of: the underlying Cloud Functions product is the same no matter how you deploy your functions.  Firebase just adds tools and APIs on top of the existing Google Cloud Functions infrastructure.  There is really no such thing as a &quot;Firebase Cloud Function&quot;.  There is just Cloud Functions, and you have options about how you can write and deploy them, either using gcloud, or the Firebase CLI.

  [1]: https://cloud.google.com/functions/docs/calling/cloud-firestore

I&#39;m trying to change a SwiftUI Color to an instance of UIColor. 

I can easily get the RGBA from the UIColor, but I don&#39;t know how to get the &quot;Color&quot; instance to return the corresponding RGB and opacity values.

    @EnvironmentObject var colorStore: ColorStore
    
    init() {
        let red =     //get red value from colorStore.primaryThemeColor
        let green = //get green value from colorStore.primaryThemeColor
        let blue =   //get blue value from colorStore.primaryThemeColor
        let alpha = //get alpha value from colorStore.primaryThemeColor
        
        let color = UIColor(red: red, green: green, blue: blue, alpha: alpha)
        UINavigationBar.appearance().tintColor = color
    }

...or maybe there is a better way to accomplish what I am looking for?

How can I change a SwiftUI Color to UIColor?

I want to manually set the frame height of a view in SwiftUI to the size of the safe area of the screen. It&#39;s easy to get the bounds of the screen (`UIScreen.main.bounds`), but I can&#39;t find a way to access the size of the safe area.

How to access safe area size in SwiftUI?

We are using GCP&#39;s Firebase with Firestore for a new mobile app we are developing. As part of this effort we need to deploy a number of cloud functions which will act as Firestore triggers for doing some back end processing. 

Our intention is to keep the deploys encapsulated inside of Firebase by using the firebase cli tools. However when we attempt to initiate the Firebase project for functions using the &quot;firebase init functions&quot; call the only two language options are &quot;Javascript&quot; and &quot;Typescript&quot;, and the only deployable stack seems to be Node.js. 

On previous GCP projects we had deployed Python based cloud functions (using the gcloud cli) and ideally we&#39;d like to continue using Python for our Firebase cloud functions.  So my questions are:
 
1. is it possible to deploy Python-based Firebase cloud functions? If not:

2. can we simply go back to deploying Python-based GCP cloud functions using the gcloud cli and still have them work as Firestore triggers?

Thanks

Firebase cloud functions using Python?

We are using GCP's Firebase with Firestore for a new mobile app we are developing. As part of this effort we need to deploy a number of cloud functions which will act as Firestore triggers for doing some back end processing.
Our intention is to keep the deploys encapsulated inside of Firebase by using the firebase cli tools. However when we attempt to initiate the Firebase project for functions using the "firebase init functions" call the only two language options are "Javascript" and "Typescript", and the only deployable stack seems to be Node.js.
On previous GCP projects we had deployed Python based cloud functions (using the gcloud cli) and ideally we'd like to continue using Python for our Firebase cloud functions. So my questions are:
<ol>
<li>
is it possible to deploy Python-based Firebase cloud functions? If not:
</li>
<li>
can we simply go back to deploying Python-based GCP cloud functions using the gcloud cli and still have them work as Firestore triggers?
</li>
</ol>
Thanks

I am reading through a python script that takes an input of XML files and outputs an XML file. However, I do not understand the printing syntax. Can someone please explain what `f` in `print(f&quot;...&quot;)` does?

    args = parser.parser_args()
    
    print(f&quot;Input directory: {args.input_directory}&quot;)
    print(f&quot;Output directory: {args.output_directory}&quot;)

What is print(f&quot;...&quot;)

The [PyTorch documentation](https://pytorch.org/docs/stable/generated/torch.unsqueeze.html) says:
&gt;Returns a new tensor with a dimension of size one inserted at the specified position. [...]
&gt;
&gt;     &gt;&gt;&gt; x = torch.tensor([1, 2, 3, 4])
&gt;     &gt;&gt;&gt; torch.unsqueeze(x, 0)
&gt;     tensor([[ 1,  2,  3,  4]])
&gt;     &gt;&gt;&gt; torch.unsqueeze(x, 1)
&gt;     tensor([[ 1],
&gt;             [ 2],
&gt;             [ 3],
&gt;             [ 4]])



What does &quot;unsqueeze&quot; do in Pytorch?

I installed TensorFlow 1.10.1 but when I tried to import TensorFlow it said that I need TensorFlow version 1.10.0. Thus, I installed it and now I get the following warnings:

```
&gt;&gt;&gt; import tensorflow
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint8 = np.dtype([(&quot;qint8&quot;, np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint8 = np.dtype([(&quot;quint8&quot;, np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint16 = np.dtype([(&quot;qint16&quot;, np.int16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint16 = np.dtype([(&quot;quint16&quot;, np.uint16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint32 = np.dtype([(&quot;qint32&quot;, np.int32, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  np_resource = np.dtype([(&quot;resource&quot;, np.ubyte, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint8 = np.dtype([(&quot;qint8&quot;, np.int8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint8 = np.dtype([(&quot;quint8&quot;, np.uint8, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint16 = np.dtype([(&quot;qint16&quot;, np.int16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_quint16 = np.dtype([(&quot;quint16&quot;, np.uint16, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  _np_qint32 = np.dtype([(&quot;qint32&quot;, np.int32, 1)])
C:\Users\PC\Anaconda3\envs\tut\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or &#39;1type&#39; as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.
  np_resource = np.dtype([(&quot;resource&quot;, np.ubyte, 1)])

&quot;synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / &#39;(1,)type&#39;.&quot; problem in TensorFlow

I&#39;m really unsure why this isn&#39;t working. Here is the important part of the code (it&#39;s from a leetcode challenge).
The first line throws the NameError.

```python
def totalFruit(self, tree: List[int]) -&gt; int:
    pass
```

If I try importing `List` first I get an error `No module named &#39;List&#39;`. I&#39;m using Python 3.7.3 from Anaconda.

NameError: name &#39;List&#39; is not defined

I&#39;m facing an issue with allocating huge arrays in numpy on Ubuntu 18 while not facing the same issue on MacOS.

I am trying to allocate memory for a numpy array with shape `(156816, 36, 53806)`
with 
```
np.zeros((156816, 36, 53806), dtype=&#39;uint8&#39;)
```
and while I&#39;m getting an error on Ubuntu OS
```
&gt;&gt;&gt; import numpy as np
&gt;&gt;&gt; np.zeros((156816, 36, 53806), dtype=&#39;uint8&#39;)
Traceback (most recent call last):
  File &quot;&lt;stdin&gt;&quot;, line 1, in &lt;module&gt;
numpy.core._exceptions.MemoryError: Unable to allocate array with shape (156816, 36, 53806) and data type uint8
```
I&#39;m not getting it on MacOS:
```
&gt;&gt;&gt; import numpy as np 
&gt;&gt;&gt; np.zeros((156816, 36, 53806), dtype=&#39;uint8&#39;)
array([[[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        ...,
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0]],

       [[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        ...,
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0]],

       [[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        ...,
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0]],

       ...,

       [[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        ...,
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0]],

       [[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        ...,
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0]],

       [[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        ...,
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0]]], dtype=uint8)
```

I&#39;ve read somewhere that `np.zeros` shouldn&#39;t be really allocating the whole memory needed for the array, but only for the non-zero elements. Even though the Ubuntu machine has 64gb of memory, while my MacBook Pro has only 16gb.

versions:
```
Ubuntu
os -&gt; ubuntu mate 18
python -&gt; 3.6.8
numpy -&gt; 1.17.0

mac
os -&gt; 10.14.6
python -&gt; 3.6.4
numpy -&gt; 1.17.0
```

PS: also failed on Google Colab

Unable to allocate array with shape and data type

I&#39;m trying to serve firebase functions locally, but when I run `firebase serve` or `firebase emulators:start` the error message is: &quot;Port 5000 is not open, could not start functions emulator.&quot;

I&#39;m using Windows 10, so I&#39;ve tried to change the port number, check if the port is blocked by Firewall and I create a new rule in Firewall to ports 5000-5010 but none of this approaches worked for me.

Firebase serve error: Port 5000 is not open. Could not start functions emulator

I design websites in VSC and PowerShell is my default terminal.

After updating and deploying a website to firebase earlier, I was prompted to update firebase tools - which I did using npm. Immediately after I cannot run/access any firebase scripts wthout the folllowing error:

`firebase : File C:\Users\mada7\AppData\Roaming\npm\firebase.ps1 cannot be loaded because running scripts is disabled on this system. For more information, see about_Execution_Policies at https:/go.microsoft.com/fwlink/?LinkID=135170. At line:1 char:1`

`firebase
  + CategoryInfo          : SecurityError: (:) [], PSSecurityException
  + FullyQualifiedErrorId : UnauthorizedAccess`




I&#39;ve spent a few hours searching around and can&#39;t find a solid answer the problem. Many threads are several years old and I find it bizarre I&#39;ve not had this problem in the past year until today.
I can still access firebase scripts if I set my default terminal to cmd.

Assuming the problem was related to firebase-tools I&#39;ve carried on working but have now updated vue.js and get the error again when trying to run any vue commands in powershell:

`vue : File C:\Users\mada7\AppData\Roaming\npm\vue.ps1 cannot be loaded because running scripts is disabled on this system. For more information, see about_Execution_Policies at https:/go.microsoft.com/fwlink/?LinkID=135170. At line:1 char:1`

`vue
  + CategoryInfo          : SecurityError: (:) [], PSSecurityException
  + FullyQualifiedErrorId : UnauthorizedAccess
`

`VSCode Version:
Version: 1.37.1 (user setup)
Commit: f06011a
Date: 2019-08-15T16:17:55.855Z
Electron: 4.2.7
Chrome: 69.0.3497.128
Node.js: 10.11.0
V8: 6.9.427.31-electron.0
OS: Windows_NT x64 10.0.18362
OS Version:
Windows 10 Home
Version - 1903
OS build - 18362.295`

I&#39;ve been reading around and seen many threads around permissions for scripts, but I haven&#39;t changed any - indeed the PowerShell scripts worked right up until I updated my packages. No other settings touched in the mean time. I don&#39;t want to be changing PowerShell settings unnecessarily.

VSC PowerShell. After npm updating packages .ps1 cannot be loaded because running scripts is disabled on this system

So I&#39;m minding my own business trying to initializing a Firebase project in my Angular app when all of the sudden I&#39;m hit with this error:

    Error: Failed to list Firebase projects. See firebase-debug.log for more info.

To get to that point, I followed the instructions in the documentation [here][1] which are basically run:

    $ npm install -g firebase-tools

    $ firebase login // Turns out I was already logged in

    $ firebase projects:list // Make sure you can access your account.

Anyway, back to the error. &quot;Ok,&quot; I think. &quot;I&#39;ll just check out the log it&#39;s pointing me to.&quot; I open the log and see:

    HTTP Error: 401, Request had invalid authentication credentials. 
    Expected OAuth 2 access token, login cookie or other valid authentication credential.
    See https://developers.google.com/identity/sign-in/web/devconsole-project.`
    `FirebaseError: HTTP Error: 401, Request had invalid authentication credentials.
    Expected OAuth 2 access token, login cookie or other valid authentication credential.
    See https://developers.google.com/identity/sign-in/web/devconsole-project.`

The part about &quot;invalid authentication credentials&quot; makes me think it has something to do with me not being logged into firebase but `firebase login` shows I am logged in.

The URL in the log just takes me to the docs for using firebase auth in my app. Well, I would love to. But first I need this command to work, Firebase.

Has anyone run into this/have a solution for it?

  [1]: https://firebase.google.com/docs/cli

How do I solve: Error: Failed to list Firebase projects. See firebase-debug.log for more info

I am attempting to write an onCall function for Firebase Cloud Functions that performs advanced querying tasks on a firestore database (i.e. checking a text query up against AutoML natural lang to get a category, etc) but I keep running into a problem trying to query the database from the function:

```
Error getting documents ::  Error: Could not load the default credentials. Browse to https://cloud.google.com/docs/authentication/getting-started for more information.
    at GoogleAuth.getApplicationDefaultAsync (/srv/node_modules/google-auth-library/build/src/auth/googleauth.js:161:19)
    at &lt;anonymous&gt;
    at process._tickDomainCallback (internal/process/next_tick.js:229:7)
```

Function:
```
const functions = require(&#39;firebase-functions&#39;);
const admin = require(&#39;firebase-admin&#39;);
admin.initializeApp();
const db = admin.firestore();

exports.query = functions.https.onCall((data, context) =&gt; {
    const text = data.text;
    var results = [];
    const promise = db.collection(&#39;providers&#39;).get()
    promise.then((snapshot) =&gt; {
        console.log(&#39;marker&#39;);
        snapshot.forEach((doc) =&gt; {
            results.push({id: doc.id, data: doc.data()});
        });
        console.log(&#39;yessir&#39;);
        return {results: results};
    }).catch((err) =&gt; {
        console.log(&#39;Error getting documents :: &#39;, err)
        console.log(&#39;nosir&#39;);
        return {results: &quot;no results&quot;};
    });
});
```

Longer output:
```
Function execution started
Function execution took 8ms, finished with status code: 200
Error getting documents :: (etc, same error)
nosir
```

Example 2 (no change in running):
```
Function execution started
Function execution took 1200 ms, finished with status code: 200
marker
yessir
```

I can&#39;t figure out where this problem is coming from or how to resolve it.
Any help?

Regards.

Error: Could not load the default credentials (Firebase function to firestore)

I have received email from google:

&gt; We recently announced that we’ll be deprecating the install_referrer intent broadcast mechanism. Because one or more of your apps uses this intent to track referrals, we wanted to ensure you make the switch before March 1, 2020. After this date, new versions of the Play Store app will no longer broadcast the install_referrer intent after app installs.

I am not using `install_referrer` directly, but while browsing merged manifest i discovered that some firebase service named with package name `com.google.firebase.measurement` use it.

My firebase dependencies updated to latest version.

Should I care about it?



install_referrer intent deprecation

I have a Google App Engine app, which connects to Google Cloud Storage. 

I noticed that the amount of data stored was unreasonably high (4.01 GB, when it should be 100MB or so). 

So, I looked at how much each bucket was storing, and I found that there was an automatically created bucket called `us.artificats.` that was taking up most of the space.

I looked inside, and all it has is one folder: `containers/images/`. 

From what I&#39;ve Googled, it seems like these images come from Google Cloud Build.

My question is, can I delete them without compromising my entire application?

Can I delete container images from Google Cloud Storage artifacts bucket?

I want to be able to run cloud functions locally and debug against a copy from the production data.
Is there a way to copy the data that is online to the local firestore emulator?

How to import data from cloud firestore to the local emulator?

First time using firestore and I&#39;m getting this error. It seems to be a problem with Ivy, from my research. I don&#39;t have a lot of experience modifying tsconfig.app.json, which is the direction I&#39;ve been pointed to, following other answers.

The only thing I was able to modify from the original project was to use Angular Fire 6 instead of 5, which I had done initially to follow a tutorial. 

Here&#39;s package.json:

```json
{
  &quot;name&quot;: &quot;language&quot;,
  &quot;version&quot;: &quot;0.0.0&quot;,
  &quot;scripts&quot;: {
    &quot;ng&quot;: &quot;ng&quot;,
    &quot;start&quot;: &quot;ng serve&quot;,
    &quot;build&quot;: &quot;ng build&quot;,
    &quot;test&quot;: &quot;ng test&quot;,
    &quot;lint&quot;: &quot;ng lint&quot;,
    &quot;e2e&quot;: &quot;ng e2e&quot;
  },
  &quot;private&quot;: true,
  &quot;dependencies&quot;: {
    &quot;@angular/animations&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/cdk&quot;: &quot;^9.0.0&quot;,
    &quot;@angular/common&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/compiler&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/core&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/fire&quot;: &quot;^6.0.0-rc.1&quot;,
    &quot;@angular/flex-layout&quot;: &quot;^9.0.0-beta.29&quot;,
    &quot;@angular/forms&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/material&quot;: &quot;^9.0.0&quot;,
    &quot;@angular/platform-browser&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/platform-browser-dynamic&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/router&quot;: &quot;~9.0.1&quot;,
    &quot;firebase&quot;: &quot;^7.8.2&quot;,
    &quot;rxjs&quot;: &quot;~6.5.4&quot;,
    &quot;rxjs-compat&quot;: &quot;^6.5.4&quot;,
    &quot;tslib&quot;: &quot;^1.10.0&quot;,
    &quot;zone.js&quot;: &quot;~0.10.2&quot;
  },
  &quot;devDependencies&quot;: {
    &quot;@angular-devkit/build-angular&quot;: &quot;~0.900.2&quot;,
    &quot;@angular/cli&quot;: &quot;~9.0.2&quot;,
    &quot;@angular/compiler-cli&quot;: &quot;~9.0.1&quot;,
    &quot;@angular/language-service&quot;: &quot;~9.0.1&quot;,
    &quot;@types/node&quot;: &quot;^12.11.1&quot;,
    &quot;@types/jasmine&quot;: &quot;~3.3.8&quot;,
    &quot;@types/jasminewd2&quot;: &quot;~2.0.3&quot;,
    &quot;codelyzer&quot;: &quot;^5.1.2&quot;,
    &quot;jasmine-core&quot;: &quot;~3.4.0&quot;,
    &quot;jasmine-spec-reporter&quot;: &quot;~4.2.1&quot;,
    &quot;karma&quot;: &quot;~4.1.0&quot;,
    &quot;karma-chrome-launcher&quot;: &quot;~2.2.0&quot;,
    &quot;karma-coverage-istanbul-reporter&quot;: &quot;~2.0.1&quot;,
    &quot;karma-jasmine&quot;: &quot;~2.0.1&quot;,
    &quot;karma-jasmine-html-reporter&quot;: &quot;^1.4.0&quot;,
    &quot;protractor&quot;: &quot;~5.4.0&quot;,
    &quot;ts-node&quot;: &quot;~7.0.0&quot;,
    &quot;tslint&quot;: &quot;~5.15.0&quot;,
    &quot;typescript&quot;: &quot;~3.7.5&quot;,
    &quot;@angular-devkit/architect&quot;: &quot;^0.900.0-0 || ^0.900.0&quot;,
    &quot;firebase-tools&quot;: &quot;^7.12.1&quot;,
    &quot;fuzzy&quot;: &quot;^0.1.3&quot;,
    &quot;inquirer&quot;: &quot;^6.2.2&quot;,
    &quot;inquirer-autocomplete-prompt&quot;: &quot;^1.0.1&quot;
  }
}
```

angular.json
```json
{
  &quot;$schema&quot;: &quot;./node_modules/@angular/cli/lib/config/schema.json&quot;,
  &quot;version&quot;: 1,
  &quot;newProjectRoot&quot;: &quot;projects&quot;,
  &quot;projects&quot;: {
    &quot;language&quot;: {
      &quot;projectType&quot;: &quot;application&quot;,
      &quot;schematics&quot;: {
        &quot;@schematics/angular:component&quot;: {
          &quot;style&quot;: &quot;scss&quot;
        }
      },
      &quot;root&quot;: &quot;&quot;,
      &quot;sourceRoot&quot;: &quot;src&quot;,
      &quot;prefix&quot;: &quot;app&quot;,
      &quot;architect&quot;: {
        &quot;build&quot;: {
          &quot;builder&quot;: &quot;@angular-devkit/build-angular:browser&quot;,
          &quot;options&quot;: {
            &quot;outputPath&quot;: &quot;dist/language&quot;,
            &quot;index&quot;: &quot;src/index.html&quot;,
            &quot;main&quot;: &quot;src/main.ts&quot;,
            &quot;polyfills&quot;: &quot;src/polyfills.ts&quot;,
            &quot;tsConfig&quot;: &quot;tsconfig.app.json&quot;,
            &quot;aot&quot;: true,
            &quot;assets&quot;: [
              &quot;src/favicon.ico&quot;,
              &quot;src/assets&quot;
            ],
            &quot;styles&quot;: [
              &quot;./node_modules/@angular/material/prebuilt-themes/deeppurple-amber.css&quot;,
              &quot;src/styles.scss&quot;
            ],
            &quot;scripts&quot;: []
          },
          &quot;configurations&quot;: {
            &quot;production&quot;: {
              &quot;fileReplacements&quot;: [
                {
                  &quot;replace&quot;: &quot;src/environments/environment.ts&quot;,
                  &quot;with&quot;: &quot;src/environments/environment.prod.ts&quot;
                }
              ],
              &quot;optimization&quot;: true,
              &quot;outputHashing&quot;: &quot;all&quot;,
              &quot;sourceMap&quot;: false,
              &quot;extractCss&quot;: true,
              &quot;namedChunks&quot;: false,
              &quot;extractLicenses&quot;: true,
              &quot;vendorChunk&quot;: false,
              &quot;buildOptimizer&quot;: true,
              &quot;budgets&quot;: [
                {
                  &quot;type&quot;: &quot;initial&quot;,
                  &quot;maximumWarning&quot;: &quot;2mb&quot;,
                  &quot;maximumError&quot;: &quot;5mb&quot;
                },
                {
                  &quot;type&quot;: &quot;anyComponentStyle&quot;,
                  &quot;maximumWarning&quot;: &quot;6kb&quot;,
                  &quot;maximumError&quot;: &quot;10kb&quot;
                }
              ]
            }
          }
        },
        &quot;serve&quot;: {
          &quot;builder&quot;: &quot;@angular-devkit/build-angular:dev-server&quot;,
          &quot;options&quot;: {
            &quot;browserTarget&quot;: &quot;language:build&quot;
          },
          &quot;configurations&quot;: {
            &quot;production&quot;: {
              &quot;browserTarget&quot;: &quot;language:build:production&quot;
            }
          }
        },
        &quot;extract-i18n&quot;: {
          &quot;builder&quot;: &quot;@angular-devkit/build-angular:extract-i18n&quot;,
          &quot;options&quot;: {
            &quot;browserTarget&quot;: &quot;language:build&quot;
          }
        },
        &quot;test&quot;: {
          &quot;builder&quot;: &quot;@angular-devkit/build-angular:karma&quot;,
          &quot;options&quot;: {
            &quot;main&quot;: &quot;src/test.ts&quot;,
            &quot;polyfills&quot;: &quot;src/polyfills.ts&quot;,
            &quot;tsConfig&quot;: &quot;tsconfig.spec.json&quot;,
            &quot;karmaConfig&quot;: &quot;karma.conf.js&quot;,
            &quot;assets&quot;: [
              &quot;src/favicon.ico&quot;,
              &quot;src/assets&quot;
            ],
            &quot;styles&quot;: [
              &quot;./node_modules/@angular/material/prebuilt-themes/deeppurple-amber.css&quot;,
              &quot;src/styles.scss&quot;
            ],
            &quot;scripts&quot;: []
          }
        },
        &quot;lint&quot;: {
          &quot;builder&quot;: &quot;@angular-devkit/build-angular:tslint&quot;,
          &quot;options&quot;: {
            &quot;tsConfig&quot;: [
              &quot;tsconfig.app.json&quot;,
              &quot;tsconfig.spec.json&quot;,
              &quot;e2e/tsconfig.json&quot;
            ],
            &quot;exclude&quot;: [
              &quot;**/node_modules/**&quot;
            ]
          }
        },
        &quot;e2e&quot;: {
          &quot;builder&quot;: &quot;@angular-devkit/build-angular:protractor&quot;,
          &quot;options&quot;: {
            &quot;protractorConfig&quot;: &quot;e2e/protractor.conf.js&quot;,
            &quot;devServerTarget&quot;: &quot;language:serve&quot;
          },
          &quot;configurations&quot;: {
            &quot;production&quot;: {
              &quot;devServerTarget&quot;: &quot;language:serve:production&quot;
            }
          }
        },
        &quot;deploy&quot;: {
          &quot;builder&quot;: &quot;@angular/fire:deploy&quot;,
          &quot;options&quot;: {}
        }
      }
    }
  },
  &quot;defaultProject&quot;: &quot;language&quot;
}
```

tsconfig.app.json

```json
{
  &quot;extends&quot;: &quot;./tsconfig.json&quot;,
  &quot;compilerOptions&quot;: {
    &quot;outDir&quot;: &quot;./out-tsc/app&quot;,
    &quot;types&quot;: [],
  
  },
  &quot;files&quot;: [
    &quot;src/main.ts&quot;,
    &quot;src/polyfills.ts&quot;
  ],
  &quot;include&quot;: [
    &quot;src/**/*.d.ts&quot;
  ],
  &quot;exclude&quot;: [
    &quot;src/test.ts&quot;,
    &quot;src/**/*.spec.ts&quot;
  ]
}
```

Thanks!

error NG6002: Appears in the NgModule.imports of AppModule, but could not be resolved to an NgModule class

Trying to use Firestore in my project. My project is a brand new one, but having problems running the app on my device without getting an error:
**Execution failed for task &#39;:app:mergeDexDebug&#39;.**

My app is using AndroidX. I&#39;ve added my google-services.json file, followed the steps etc.

Yaml file:

    dependencies:
      cloud_firestore: ^0.13.3
android/build.gradle:

    com.google.gms:google-services:4.3.3

Full error:

&gt;FAILURE: Build failed with an exception.

&gt; What went wrong:
    Execution failed for task &#39;:app:mergeDexDebug&#39;.
&gt; A failure occurred while executing com.android.build.gradle.internal.tasks.Workers$ActionFacade
   &gt; com.android.builder.dexing.DexArchiveMergerException: Error while merging dex archives: 
     The number of method references in a .dex file cannot exceed 64K.
     Learn how to resolve this issue at https://developer.android.com/tools/building/multidex.html

Execution failed for task &#39;:app:mergeDexDebug&#39;. Firestore | Flutter

I try to connect Android project to Firebase but I get this error as I added the following to pubsec.yaml:

    firebase_auth: ^0.16.0
    cloud_firestore: ^0.13.5


when I gradle run and it is not working

    Plugin project :firebase_core_web not found. Please update settings.gradle.
    Plugin project :firebase_auth_web not found. Please update settings.gradle.
    Plugin project :cloud_firestore_web not found. Please update settings.gradle.

Is there any solution for it


Plugin project :firebase_core_web not found

When i make my first deploy function I can&#39;t deploying Because I have Error Asks me to make Upgrade to my account to Blaze I need to Know Can i deploy Function when i use free account??

Output:

    i  deploying functions
    i  functions: ensuring required API cloudfunctions.googleapis.com is enabled...
    i  functions: ensuring required API cloudbuild.googleapis.com is enabled...
    !  functions: missing required API cloudbuild.googleapis.com. Enabling now...
    +  functions: required API cloudfunctions.googleapis.com is enabled
    
    Error: Cloud Functions deployment requires the pay-as-you-go (Blaze) billing plan. To upgrade your project, visit the following URL:
    
    https://console.firebase.google.com/project/institute-for-admin/usage/details
    
    For additional information about this requirement, see Firebase FAQs:
    
    https://firebase.google.com/support/faq#functions-runtime

Content Type	Original Author	Original Content on Stackoverflow
Question	Gatmando	View Question on Stackoverflow
Solution 1 - Python	Doug Stevenson	View Answer on Stackoverflow

Firebase cloud functions using Python?

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