To retrieve information about a specific topic, you would need to know the ID of the topic and use that ID to look up relevant data in the conversation database.
``
python
# Sample variables
topic_id = '12345' # Replace with actual topic ID
user_input = 'xSearch query'
# Use xSearch module to find matches for user input
matches = asyncio.get_event_loop().run_until_complete(web_extract('https://twitter.com/search?q=' + user_input))
print(matches)
if match_count > 0:
print("More results found:")
# Loop through the list of matches and retrieve each one's ID and title
for match in matches:
details = web_extract(match['url'])
print(f"Title: {details['text']}")
else:
print('No Matches Found')
`
This is a very basic example. It simply searches Twitter and prints out the most recent tweets with a matching query. However, this can be optimized for large databases of search queries by using pagination.
To do that, modify the matches
variable to include pagination markers to indicate where the latest results are located:
`
python
# Sample variables
topic_id = '12345' # Replace with actual topic ID
user_input = 'xSearch query'
last_page = 1
while last_page > 0:
matches = asyncio.get_event_loop().run_until_complete(web_extract('https://twitter.com/search?q=' + user_input))
if match_count < len(matches):
last_page -= 1
else:
break
# Loop through the list of matches and retrieve each one's ID and title
for match in matches:
details = web_extract(match['url'])
print(f"Title: {details['text']}")
if user_input == 'xSearch query':
print("No new results found")
while last_page > 0:
# Append two more pages to the current pagination marker
next_url = match_url + '&next_url=news+page=' + str(last_page)
matches = asyncio.get_event_loop().async_run_until_complete(web_extract(next_url))
print(f"Title: {details['text']}")
last_page -= 1
for match in matches:
details = web_extract(match['url'])
print(f"Title: {details['text']}")
`
This code uses a while loop to run the search multiple times, appending every two results from each consecutive page of the last result. The next URL is constructed by adding a new query parameter next_url` and appending it in the format specified above. This will ensure that each subsequent result appears on its own page, if possible.