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Issue with strings and dictionaries in python

I'm using the click package to get input for one or more variables which get loaded in as a combined dictionary. Each entry is then joined and the combined string is added to the end of a base URL and sent through the requests package to receive some xml data.
Earlier I had an issue with one of the variables that let you search through a range, such as
[value1, value2]
Python added double quotes around it so the search function didn't operate correctly, so I used
.replace('"', '')
on the joined string before combined with the base url and that seemed to fix that problem. The issue now is that individual input that contains more than one word now doesn't produce the same output as the actual search engine online. I have to use quotes when I input the information to keep it as a single argument, but then the quotes get removed by the function above and I believe that is what is causing the issue.
I think if I have a way to access individual entries of this dictionary and remove the double quotes from only certain entries then that should get the job done. But if I am overlooking something please let me know.
Help is appreciated.
Code added below:
import click
import requests
#click.command()
#click.option(--variable1)
#click.option(--variable2)
query_list=[variable1, variable2]
query=''.join(query_list)
base_url = "abc.com...."
response=requests.get(base_url,query)

How to use the results of PocketSphinx voice-recognition code?

I am trying to create a program that will constantly listen for speech, and if I say a certain string, it will call a certain function, example, if (string) then (function). I initially tried using Google Speech to Text API but could not get it to continuously listen (I even found a thread where someone said that Google Speech to Text API does not support continuous listening), so I reverted to PocketSphinx.
I have barely any code at all. I just have the initial beginner code you try out when you first install and run PocketSphinx (because I am a beginner). However, I don't want to do much. I created my own dictionary of a whopping 1 words, because I only want it to do one thing, and it reads it fine.
The problem I am having is actually using the string value that it constantly listens for to run future code. I don't know if I would have to add code to make it stop listening for a few moments after it hears a word in order for it to do something with the word is just heard or.... Also, I've heard that when you are comparing strings, you would use .equals() rather than ==, correct me/elaborate if I'm wrong. I've tried it both ways. When I use ==, nothing happens, it just continuously listens and prints the one word I say. When I use .equals(), I get an AttributeError.
First Method:
import os
from pocketsphinx import LiveSpeech, get_model_path
speech = LiveSpeech(
sampling_rate = 16000,
hmm=os.path.join(get_model_path(), 'en-us'),
lm='A:...(some random directory to a .lm file)',
dic='A:...(some random directory to a .dic file)')
for code in speech:
print(code)
if code == "string":
print("It works!")
Second Method:
import os
from pocketsphinx import LiveSpeech, get_model_path
speech = LiveSpeech(
sampling_rate = 16000,
hmm=os.path.join(get_model_path(), 'en-us'),
lm='A:...(some random directory to a .lm file)',
dic='A:...(some random directory to a .dic file)')
for code in speech:
print(code)
if code.equals(myString): #myString is set to the word I say to it.
print("It works!")
Second Method Error:
'LiveSpeech' object has no attribute 'equals'

You need to use live speech as if it were an iterator (like a list)
for example:
for phrase in speech:
text = phrase.hypothesis()

Is there a way to remove items from various lists based on conditional statements?

I am writing a program that will act as a photography idea-generator for New York photographers. The way it works now is quite simple, the code is utilizing the random.choice function to randomly pull items from lists, then the code prints them out in a way that forms a sentence in English as an end result.
My issue is I need to add some logic to this, as some results would not make sense for a photographer to do (at least in my opinion). In this example I am trying to remove 'Bracketed (HDR)' from the technique_list, IF "Portrait" happens to be randomly chosen when python chooses the theme item.
I have a feeling I am mis-using the .remove function within the conditional if statement. Is there a better way to do this? I have attached the pertinent parts of the code for examination.
I have tried technique_list.remove('Bracketed (HDR)') , as well as
del technique_list[0] , both as the response part of the if statement.
import random
print ("You should try taking a...")
#pool of items that the program will randomly choose..
theme_list = ['Cityscape','Peoplescape','Port-Scape', 'Portrait']
technique_list = ['Bracketed (HDR)','Wide Angle', 'Zoom','Long
Exposure','Fast Shutter','Daytime Long Expo','Timelapse']
#what we need here are conditional IF statements, that manipulate items
from various lists
#this bit of code determines the theme of a photo idea
theme_var = random.choice(theme_list)
for theme in theme_var:
if theme == 'Portrait':
technique_list.remove('Bracketed (HDR)')
print("",theme_var)
#this bit of code determines the technique of a photo idea
technique_var = random.choice(technique_list)
print("", technique_var)
print("picture, from")
#this line of code determines the location of a photo idea
location_var = random.choice(location_list)
print("", location_var)
This still remains one of the possible results of the code:
You should try taking a...
Portrait
Bracketed (HDR)
picture, from
34th Street
during
Sunrise
and then give it a
Black & White
edit in Lightroom!
[Finished in 0.2
As I said earlier, Portrait and Bracketed (HDR) should never be part of the same result, it doesn't make sense for this situation.

The issue (I think) is because you are iterating over the randomly chosen result not the list itself, you don't need the for loop that is.
theme_var = random.choice(theme_list)
if theme_var == 'Portrait':
technique_list.remove('Bracketed (HDR)')
print("",theme_var)
#this bit of code determines the technique of a photo idea
technique_var = random.choice(technique_list)
print("", technique_var)
print("picture, from")
#rest of the code
Should do it

I'd go with a dictionary of inappropriate techniques, a list comprehension, and top it off with an f-string:
import random
#pool of items that the program will randomly choose..
theme_list = ['Cityscape','Peoplescape','Port-Scape', 'Portrait']
technique_list = ['Bracketed (HDR)','Wide Angle', 'Zoom','Long Exposure','Fast
Shutter','Daytime Long Expo','Timelapse']
location_list = ['34th Street']
# dictionary of inappropriate techniques for given theme
d_inappropes = {'Cityscape': [],
'Port-Scape': [],
'Portrait': ['Bracketed (HDR)'],
'Peoplescape': ['Long Exposure', 'Timelapse', 'Daytime Long Expo']}
#this bit of code determines the theme of a photo idea
theme_var = random.choice(theme_list)
#this bit of code determines the technique of a photo idea
# list comprehension generates a new list with the inappropriate techniques removed,
# without affecting the original list
technique_var = random.choice([ti for ti in technique_list if ti not in d_inappropes[theme_var]])
#this line of code determines the location of a photo idea
location_var = random.choice(location_list)
# use f-stirngs to put the whole output in a single line to keep it managable
print(f"You should try taking a \n {theme_var} {technique_var} picture, \n from
{location_var}.")

if I may add and give more explanation to the answers
You want to delete "bracked (HDR)" IF potrait is selected. Don't use .remove as it will delete "bracked (HDR)" permanently and prevent other theme to use that technique. you can use dictionary of inappropriate technique as kingfischer suggested for that
random.choice outputted a single value from your list. you should not use for-loop with it as for-loop will iterate over the character/alphabets in the value outputted by random.choice
if I may give a feedback, the indentations in your code snippet are quite jumbled. Some lines that should have indentation, don't have it. I don't know.. maybe it is unintended and the problem is with my browser. if it was so, sorry!

Python- Insert new values into 'nested' list?

What I'm trying to do isn't a huge problem in php, but I can't find much assistance for Python.
In simple terms, from a list which produces output as follows:
{"marketId":"1.130856098","totalAvailable":null,"isMarketDataDelayed":null,"lastMatchTime":null,"betDelay":0,"version":2576584033,"complete":true,"runnersVoidable":false,"totalMatched":null,"status":"OPEN","bspReconciled":false,"crossMatching":false,"inplay":false,"numberOfWinners":1,"numberOfRunners":10,"numberOfActiveRunners":8,"runners":[{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":2.8,"size":34.16},{"price":2.76,"size":200},{"price":2.5,"size":237.85}],"availableToLay":[{"price":2.94,"size":6.03},{"price":2.96,"size":10.82},{"price":3,"size":33.45}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832765}...
All I want to do is add in an extra field, containing the 'runner name' in the data set below, into each of the 'runners' sub lists from the initial data set, based on selection_id=selectionId.
So initially I iterate through the full dataset, and then create a separate list to get the runner name from the runner id (I should point out that runnerId===selectionId===selection_id, no idea why there are multiple names are used), this works fine and the code is shown below:
for market_book in market_books:
market_catalogues = trading.betting.list_market_catalogue(
market_projection=["RUNNER_DESCRIPTION", "RUNNER_METADATA", "COMPETITION", "EVENT", "EVENT_TYPE", "MARKET_DESCRIPTION", "MARKET_START_TIME"],
filter=betfairlightweight.filters.market_filter(
market_ids=[market_book.market_id],
),
max_results=100)
data = []
for market_catalogue in market_catalogues:
for runner in market_catalogue.runners:
data.append(
(runner.selection_id, runner.runner_name)
)
So as you can see I have the data in data[], but what I need to do is add it to the initial data set, based on the selection_id.
I'm more comfortable with Php or Javascript, so apologies if this seems a bit simplistic, but the code snippets I've found on-line only seem to assist with very simple Python lists and nothing 'nested' (to me the structure seems similar to a nested array).
As per the request below, here is the full list:
{"marketId":"1.130856098","totalAvailable":null,"isMarketDataDelayed":null,"lastMatchTime":null,"betDelay":0,"version":2576584033,"complete":true,"runnersVoidable":false,"totalMatched":null,"status":"OPEN","bspReconciled":false,"crossMatching":false,"inplay":false,"numberOfWinners":1,"numberOfRunners":10,"numberOfActiveRunners":8,"runners":[{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":2.8,"size":34.16},{"price":2.76,"size":200},{"price":2.5,"size":237.85}],"availableToLay":[{"price":2.94,"size":6.03},{"price":2.96,"size":10.82},{"price":3,"size":33.45}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832765},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":20,"size":3},{"price":19.5,"size":26.36},{"price":19,"size":2}],"availableToLay":[{"price":21,"size":13},{"price":22,"size":2},{"price":23,"size":2}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832767},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":11,"size":9.75},{"price":10.5,"size":3},{"price":10,"size":28.18}],"availableToLay":[{"price":11.5,"size":12},{"price":13.5,"size":2},{"price":14,"size":7.75}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832766},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":48,"size":2},{"price":46,"size":5},{"price":42,"size":5}],"availableToLay":[{"price":60,"size":7},{"price":70,"size":5},{"price":75,"size":10}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832769},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":18.5,"size":28.94},{"price":18,"size":5},{"price":17.5,"size":3}],"availableToLay":[{"price":21,"size":20},{"price":23,"size":2},{"price":24,"size":2}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832768},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":4.3,"size":9},{"price":4.2,"size":257.98},{"price":4.1,"size":51.1}],"availableToLay":[{"price":4.4,"size":20.97},{"price":4.5,"size":30},{"price":4.6,"size":16}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832771},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":24,"size":6.75},{"price":23,"size":2},{"price":22,"size":2}],"availableToLay":[{"price":26,"size":2},{"price":27,"size":2},{"price":28,"size":2}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":12832770},{"status":"ACTIVE","ex":{"tradedVolume":[],"availableToBack":[{"price":5.7,"size":149.33},{"price":5.5,"size":29.41},{"price":5.4,"size":5}],"availableToLay":[{"price":6,"size":85},{"price":6.6,"size":5},{"price":6.8,"size":5}]},"sp":{"nearPrice":null,"farPrice":null,"backStakeTaken":[],"layLiabilityTaken":[],"actualSP":null},"adjustmentFactor":null,"removalDate":null,"lastPriceTraded":null,"handicap":0,"totalMatched":null,"selectionId":10064909}],"publishTime":1551612312125,"priceLadderDefinition":{"type":"CLASSIC"},"keyLineDescription":null,"marketDefinition":{"bspMarket":false,"turnInPlayEnabled":false,"persistenceEnabled":false,"marketBaseRate":5,"eventId":"28180290","eventTypeId":"2378961","numberOfWinners":1,"bettingType":"ODDS","marketType":"NONSPORT","marketTime":"2019-03-29T00:00:00.000Z","suspendTime":"2019-03-29T00:00:00.000Z","bspReconciled":false,"complete":true,"inPlay":false,"crossMatching":false,"runnersVoidable":false,"numberOfActiveRunners":8,"betDelay":0,"status":"OPEN","runners":[{"status":"ACTIVE","sortPriority":1,"id":10064909},{"status":"ACTIVE","sortPriority":2,"id":12832765},{"status":"ACTIVE","sortPriority":3,"id":12832766},{"status":"ACTIVE","sortPriority":4,"id":12832767},{"status":"ACTIVE","sortPriority":5,"id":12832768},{"status":"ACTIVE","sortPriority":6,"id":12832770},{"status":"ACTIVE","sortPriority":7,"id":12832769},{"status":"ACTIVE","sortPriority":8,"id":12832771},{"status":"LOSER","sortPriority":9,"id":10317013},{"status":"LOSER","sortPriority":10,"id":10317010}],"regulators":["MR_INT"],"countryCode":"GB","discountAllowed":true,"timezone":"Europe\/London","openDate":"2019-03-29T00:00:00.000Z","version":2576584033,"priceLadderDefinition":{"type":"CLASSIC"}}}

i think i understand what you are trying to do now
first hold your data as a python object (you gave us a json object)
import json
my_data = json.loads(my_json_string)
for item in my_data['runners']:
item['selectionId'] = [item['selectionId'], my_name_here]
the thing is that my_data['runners'][i]['selectionId'] is a string, unless you want to concat the name and the id together, you should turn it into a list or even a dictionary
each item is a dicitonary so you can always also a new keys to it
item['new_key'] = my_value

So, essentially this works...with one exception...I can see from the print(...) in the loop that the attribute is updated, however what I can't seem to do is then see this update outside the loop.
mkt_runners = []
for market_catalogue in market_catalogues:
for r in market_catalogue.runners:
mkt_runners.append((r.selection_id, r.runner_name))
for market_book in market_books:
for runner in market_book.runners:
for x in mkt_runners:
if runner.selection_id in x:
setattr(runner, 'x', x[1])
print(market_book.market_id, runner.x, runner.selection_id)
print(market_book.json())
So the print(market_book.market_id.... displays as expected, but when I print the whole list it shows the un-updated version. I can't seem to find an obvious solution, which is odd, as it seems like a really simple thing (I tried messing around with indents, in case that was the problem, but it doesn't seem to be, its like its not refreshing the market_book list post update of the runners sub list)!

Python - Searching a dictionary for strings

Basically, I have a troubleshooting program, which, I want the user to enter their input. Then, I take this input and split the words into separate strings. After that, I want to create a dictionary from the contents of a .CSV file, with the key as recognisable keywords and the second column as solutions. Finally, I want to check if any of the strings from the split users input are in the dictionary key, print the solution.
However, the problem I am facing is that I can do what I have stated above, however, it loops through and if my input was 'My phone is wet', and 'wet' was a recognisable keyword, it would go through and say 'Not recognised', 'Not recognised', 'Not recognised', then finally it would print the solution. It says not recognised so many times because the strings 'My', 'phone' and 'is' are not recognised.
So how do I test if a users split input is in my dictionary without it outputting 'Not recognised' etc..
Sorry if this was unclear, I'm quite confused by the whole matter.
Code:
import csv, easygui as eg
KeywordsCSV = dict(csv.reader(open('Keywords and Solutions.csv')))
Problem = eg.enterbox('Please enter your problem: ', 'Troubleshooting').lower().split()
for Problems, Solutions in (KeywordsCSV.items()):
pass
Note, I have the pass there, because this is the part I need help on.
My CSV file consists of:
problemKeyword | solution
For example;
wet Put the phone in a bowl of rice.

Your code reads like some ugly code golf. Let's clean it up before we look at how to solve the problem
import easygui as eg
import csv
# # KeywordsCSV = dict(csv.reader(open('Keywords and Solutions.csv')))
# why are you nesting THREE function calls? That's awful. Don't do that.
# KeywordsCSV should be named something different, too. `problems` is probably fine.
with open("Keywords and Solutions.csv") as f:
reader = csv.reader(f)
problems = dict(reader)
problem = eg.enterbox('Please enter your problem: ', 'Troubleshooting').lower().split()
# this one's not bad, but I lowercased your `Problem` because capital-case
# words are idiomatically class names. Chaining this many functions together isn't
# ideal, but for this one-shot case it's not awful.
Let's break a second here and notice that I changed something on literally every line of your code. Take time to familiarize yourself with PEP8 when you can! It will drastically improve any code you write in Python.
Anyway, once you've got a problems dict, and a problem that should be a KEY in that dict, you can do:
if problem in problems:
solution = problems[problem]
or even using the default return of dict.get:
solution = problems.get(problem)
# if KeyError: solution is None
If you wanted to loop this, you could do something like:
while True:
problem = eg.enterbox(...) # as above
solution = problems.get(problem)
if solution is None:
# invalid problem, warn the user
else:
# display the solution? Do whatever it is you're doing with it and...
break

Just have a boolean and an if after the loop that only runs if none of the words in the sentence were recognized.

I think you might be able to use something like:
for word in Problem:
if KeywordsCSV.has_key(word):
KeywordsCSV.get(word)
or the list comprehension:
[KeywordsCSV.get(word) for word in Problem if KeywordsCSV.has_key(word)]