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feat: optimize metric display by including search term and region in output messages

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This commit is contained in:
ajaysi (aider)
2024-09-14 19:40:58 +05:30
parent 6900c028f5
commit 12d66e8ff2
1 changed files with 6 additions and 6 deletions
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12
lib/ai_web_researcher/google_trends_researcher.py
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@@ -75,7 +75,7 @@ def fetch_multirange_interest_over_time(keywords, timeframes):
data = data.reset_index() data = data.reset_index()
# Display data and explanation # Display data and explanation
print("\n📈 Multirange Interest Over Time:") print(f"\n📈 Multirange Interest Over Time for '{keywords}':")
print("This metric shows the interest of each keyword over multiple time ranges, allowing you to see trends and patterns.") print("This metric shows the interest of each keyword over multiple time ranges, allowing you to see trends and patterns.")
print(data.to_string(index=False)) print(data.to_string(index=False))
@@ -103,7 +103,7 @@ def fetch_historical_hourly_interest(keywords, start_date, end_date):
data = data.reset_index() data = data.reset_index()
# Display data and explanation # Display data and explanation
print("\n⏰ Historical Hourly Interest:") print(f"\n⏰ Historical Hourly Interest for '{keywords}':")
print("This metric provides the interest level of each keyword on an hourly basis, useful for understanding daily patterns.") print("This metric provides the interest level of each keyword on an hourly basis, useful for understanding daily patterns.")
print(data.to_string(index=False)) print(data.to_string(index=False))
@@ -128,7 +128,7 @@ def fetch_trending_searches(region='united_states'):
data = pytrends.trending_searches(pn=region) data = pytrends.trending_searches(pn=region)
# Display data and explanation # Display data and explanation
print("\n🔥 Trending Searches:") print(f"\n🔥 Trending Searches in '{region}':")
print("These are the searches that are currently trending in the specified region, indicating popular topics.") print("These are the searches that are currently trending in the specified region, indicating popular topics.")
print(data.to_string(index=False)) print(data.to_string(index=False))
@@ -153,7 +153,7 @@ def fetch_realtime_search_trends(region='US'):
data = pytrends.realtime_trending_searches(pn=region) data = pytrends.realtime_trending_searches(pn=region)
# Display data and explanation # Display data and explanation
print("\n📊 Realtime Search Trends:") print(f"\n📊 Realtime Search Trends in '{region}':")
print("These are the searches that are trending in real-time, providing insights into current events and interests.") print("These are the searches that are trending in real-time, providing insights into current events and interests.")
print(data.to_string(index=False)) print(data.to_string(index=False))
@@ -179,7 +179,7 @@ def fetch_top_charts(year, region='GLOBAL'):
data = pytrends.top_charts(year, geo=region) data = pytrends.top_charts(year, geo=region)
# Display data and explanation # Display data and explanation
print("\n🏆 Top Charts:") print(f"\n🏆 Top Charts for {year} in '{region}':")
print("These charts show the top searches for a given year and region, highlighting significant trends over time.") print("These charts show the top searches for a given year and region, highlighting significant trends over time.")
print(data.to_string(index=False)) print(data.to_string(index=False))
@@ -204,7 +204,7 @@ def fetch_suggestions(keyword):
suggestions = pytrends.suggestions(keyword) suggestions = pytrends.suggestions(keyword)
# Display data and explanation # Display data and explanation
print("\n💡 Suggestions:") print(f"\n💡 Suggestions for '{keyword}':")
print("These are suggested search terms related to the given keyword, useful for expanding your search strategy.") print("These are suggested search terms related to the given keyword, useful for expanding your search strategy.")
print(pd.DataFrame(suggestions).to_string(index=False)) print(pd.DataFrame(suggestions).to_string(index=False))