Flask python request args get

How to use the flask.request.args function in Flask

To help you get started, we’ve selected a few Flask examples, based on popular ways it is used in public projects.

Secure your code as it’s written. Use Snyk Code to scan source code in minutes — no build needed — and fix issues immediately.

def show_collections(username): user = User.query.filter_by(username=username).first_or_404() page = request.args.get('page', 1, type=int) per_page = current_app.config['ALBUMY_PHOTO_PER_PAGE'] pagination = Collect.query.with_parent(user).order_by(Collect.timestamp.desc()).paginate(page, per_page) collects = pagination.items return render_template('user/collections.html', user=user, pagination=pagination, collects=collects)

def adc_api_workflow_show(workflow_id): """ Show a single workflow Return a dict of single workflow """ state_only = request.args.get('state_only', 'False').lower() not in 'false', '0'> workflow_dict = adc.workflow_show(workflow_id, state_only=state_only) return jsonify(workflow_dict)

def list(self): """ 用户组列表 /group/ :return: """ page = int(request.args.get('page', 0)) page = page - 1 if page else 0 size = int(request.args.get('size', 10)) kw = request.values.get('kw', '') space_model = SpaceModel() space_list, count = space_model.list(page=page, size=size, kw=kw) return self.list_json(list=space_list, count=count, enable_create=permission.role_upper_owner()) group_model, count = SpaceModel().query_paginate(page=page, limit=size, filter_name_dict=filter) groups = [] for group_info in group_model: group_sub = MemberModel.query \ .filter_by(group_id=group_info.id) \ .count() group_info = group_info.to_json() group_info['users'] = group_sub

def getFrontendContent(**params): if 'area' not in params.keys() and request.args.get('area', '') != '': params['area'] = request.args.get('area') if 'area' in params.keys() and params['area'] in ['west', 'east']: # small area view return render_template('frontend.locations_smallarea.html', cities=City.getCities(), alarmobjects=AlarmObject.getAlarmObjects(), alarmobjecttypes=AlarmObjectType.getAlarmObjectTypes(), frontendarea=params['area']) return ""

def _get_print_url(event, theme=None, theme_override=False): view = theme if theme_override else None if event.type_ == EventType.conference: return url_for(u'timetable.timetable', event, print=u'1', view=view) elif event.type_ == EventType.meeting: show_date = request.args.get(u'showDate') show_session = request.args.get(u'showSession') detail_level = request.args.get(u'detailLevel') if show_date == u'all': show_date = None if show_session == u'all': show_session = None if detail_level in (u'all', u'contrinbution'): detail_level = None return url_for(u'events.display', event, showDate=show_date, showSession=show_session, detailLevel=detail_level, print=u'1', view=view) elif event.type_ == EventType.lecture: return url_for(u'events.display', event, print=u'1', view=view)

@app.route('/oauth/callback') def get_oauth_callback(): ''' Handle Github's OAuth callback after a user authorizes. http://developer.github.com/v3/oauth/#github-redirects-back-to-your-site ''' if 'error' in request.args: return render_template('error-oauth.html', reason="you didn't authorize access to your account.") try: code, state_id = request.args['code'], request.args['state'] except: return render_template('error-oauth.html', reason='missing code or state in callback.') try: state = session['states'].pop(state_id) except: return render_template('error-oauth.html', reason='state "%s" not found?' % state_id) # # Exchange the temporary code for an access token: # http://developer.github.com/v3/oauth/#parameters-1 # data = dict(client_id=github_client_id, code=code, client_secret=github_client_secret) resp = post('https://github.com/login/oauth/access_token', urlencode(data), headers='Accept': 'application/json'>) auth = resp.json()

def authorized(remote_app=None): """Authorized handler callback.""" if remote_app not in handlers: return abort(404) state_token = request.args.get('state') # Verify state parameter try: assert state_token # Checks authenticity and integrity of state and decodes the value. state = serializer.loads(state_token) # Verify that state is for this session, app and that next parameter # have not been modified. assert state['sid'] == session.sid assert state['app'] == remote_app # Store next URL set_session_next_url(remote_app, state['next']) except (AssertionError, BadData): if current_app.config.get('OAUTHCLIENT_STATE_ENABLED', True) or ( not(current_app.debug or current_app.testing)): abort(403)

@app.route('/snowplow/', methods=["GET"]) def track_event(path): # TODO: put in spam prevention app_id = request.args.get("aid") signal = request.args if app_id == "searchHub" and signal: coll_id = app.config.get("FUSION_COLLECTION", "lucidfind") result = backend.send_signal(coll_id, signal) else: print "Unable to send signal: app_id: , signal: ".format(app_id, signal) #Snowplow requires you respond with a 1x1 pixel return send_from_directory(os.path.join(app.root_path, 'assets/img/'), 'onebyone.png')

def index(): puns, word = None, None if 'stats' in request.args: logger.info(get_puns.cache_info()) if 'word' in request.args: word = request.args.get('word').strip() if len(word) < 1: word = None else: puns = get_puns(word) return render_template('index.html', puns=puns, word=word)

def get_dag_runs(): dag_runs = [] session = settings.Session() query = session.query(DagRun) if request.args.get('state') is not None: query = query.filter(DagRun.state == request.args.get('state')) if request.args.get('external_trigger') is not None: # query = query.filter(DagRun.external_trigger == (request.args.get('external_trigger') is True)) query = query.filter(DagRun.external_trigger == (request.args.get('external_trigger') in ['true', 'True'])) if request.args.get('prefix') is not None: query = query.filter(DagRun.run_id.ilike('<>%'.format(request.args.get('prefix')))) runs = query.order_by(DagRun.execution_date).all() for run in runs: dag_runs.append(format_dag_run(run)) session.close()

Flask

A simple framework for building complex web applications.

Источник

Flask request.args.get

We will learn, with this explanation, how to work with request.args.get . We will also learn the possible way to get an error when we use the request object and its attribute in Flask.

Use request.args.get to Get Query String in Flask

When we require the client’s information in the request, we use the request variable that is part of the Flask module. We can see that this is our view function, which does not take any arguments; it is just connected to the route of our application.

We use this request variable that looks like a global variable but is not; it is imported from Flask.

What happens if this is a multi-threaded application and two requests come in simultaneously from different clients? The function will be running simultaneously in two different threads, and both are using a referencing request.

from flask import Flask ,request  app = Flask(__name__) app.config['SECRET_KEY']='NO_SECRETS'  @app.route('/') def Main_Page():  Employee_Name=request.args.get('name')   return 'Hello <> '.format(Employee_Name)  if __name__=='__main__':  app.run(debug=True) 

Each thread will get the correct request object. But this causes a lot of confusion, and many people do not understand how that works, so we will try to show you how the request object works.

Possible Way to Get an Error When Using the request Object in Flask

We will show some examples that people experience very obscure errors, and nobody understands what is sometimes happening. We open the Python shell, and if we import a request from the Flask, there is no problem with it.

If we use the request.args.get() to obtain an item from the query string of the URL using http://127.0.0.1:5000/?name=jack , and when we use the Flask request object inside the console, we get the famous error that is Working outside of request context . This is one way in which people will get this error.

>>> from flask import Flask ,request >>> request.args.get('name') Traceback (most recent call last):  File "", line 1, in  File "C:\python\lib\site-packages\werkzeug\local.py", line 432, in __get__  obj = instance._get_current_object()  File "C:\python\lib\site-packages\werkzeug\local.py", line 554, in _get_current_object  return self.__local() # type: ignore  File "C:\python\lib\site-packages\flask\globals.py", line 33, in _lookup_req_object  raise RuntimeError(_request_ctx_err_msg) RuntimeError: Working outside of request context.  This typically means you attempted to use functionality that needed an active HTTP request. Consult the documentation on testing for information about how to avoid this problem. 

Imagine that Flask is receiving a request from a client, and it needs to invoke your view function. It takes the information the web browser provides and then creates a request object.

A request context is a structure that Flask maintains. It maintains one request context per thread.

Each thread will have a different request context; it puts the request object for that request in the context. The context is a data structure that is a list of objects, and when a new request arrives, Flask will invoke your view function.

Whenever we try to access an attribute, Flask invokes your view function to that request object that maps to the client request. Because each thread has a different request context structure, each thread will get its own servers.

When we use the request.args out of the view function, it activates the proxy to see the request object stored in the request context for this thread. And, of course, there is none of that because we are not running an application; that is why we are not receiving requests.

In this case, the Flask detects that we are asking to get a request object out of a request context that does not exist. When we run our flask application and try to access the string query using request.args.get() from the URL endpoint:

Hello! I am Salman Bin Mehmood(Baum), a software developer and I help organizations, address complex problems. My expertise lies within back-end, data science and machine learning. I am a lifelong learner, currently working on metaverse, and enrolled in a course building an AI application with python. I love solving problems and developing bug-free software for people. I write content related to python and hot Technologies.

Источник