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feat: display all metrics from pytrends on CLI with explanations of their significance

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This commit is contained in:
ajaysi (aider)
2024-09-14 19:22:42 +05:30
parent 0ec58fc7c6
commit e7acd194e4
1 changed files with 24 additions and 18 deletions
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42
lib/ai_web_researcher/google_trends_researcher.py
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@@ -74,9 +74,10 @@ def fetch_multirange_interest_over_time(keywords, timeframes):
data = pytrends.multirange_interest_over_time()
data = data.reset_index()
# Visualization using Plotly
fig = px.line(data, x='date', y=keywords, title='Multirange Interest Over Time')
fig.show()
# Display data and explanation
print("\n📈 Multirange Interest Over Time:")
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))
return data
except Exception as e:
@@ -101,9 +102,10 @@ def fetch_historical_hourly_interest(keywords, start_date, end_date):
data = pytrends.get_historical_interest(keywords, year_start=int(start_date[:4]), month_start=int(start_date[5:7]), day_start=int(start_date[8:10]), hour_start=0, year_end=int(end_date[:4]), month_end=int(end_date[5:7]), day_end=int(end_date[8:10]), hour_end=0)
data = data.reset_index()
# Visualization using Plotly
fig = px.line(data, x='date', y=keywords, title='Historical Hourly Interest')
fig.show()
# Display data and explanation
print("\n⏰ Historical Hourly Interest:")
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))
return data
except Exception as e:
@@ -125,9 +127,10 @@ def fetch_trending_searches(region='united_states'):
pytrends = TrendReq(hl='en-US', tz=360)
data = pytrends.trending_searches(pn=region)
# Display using tabulate
table = tabulate(data, headers='keys', tablefmt='fancy_grid')
print(table)
# Display data and explanation
print("\n🔥 Trending Searches:")
print("These are the searches that are currently trending in the specified region, indicating popular topics.")
print(data.to_string(index=False))
return data
except Exception as e:
@@ -149,9 +152,10 @@ def fetch_realtime_search_trends(region='US'):
pytrends = TrendReq(hl='en-US', tz=360)
data = pytrends.realtime_trending_searches(pn=region)
# Display using tabulate
table = tabulate(data, headers='keys', tablefmt='fancy_grid')
print(table)
# Display data and explanation
print("\n📊 Realtime Search Trends:")
print("These are the searches that are trending in real-time, providing insights into current events and interests.")
print(data.to_string(index=False))
return data
except Exception as e:
@@ -174,9 +178,10 @@ def fetch_top_charts(year, region='GLOBAL'):
pytrends = TrendReq(hl='en-US', tz=360)
data = pytrends.top_charts(year, geo=region)
# Display using tabulate
table = tabulate(data, headers='keys', tablefmt='fancy_grid')
print(table)
# Display data and explanation
print("\n🏆 Top Charts:")
print("These charts show the top searches for a given year and region, highlighting significant trends over time.")
print(data.to_string(index=False))
return data
except Exception as e:
@@ -198,9 +203,10 @@ def fetch_suggestions(keyword):
pytrends = TrendReq(hl='en-US', tz=360)
suggestions = pytrends.suggestions(keyword)
# Display using tabulate
table = tabulate(suggestions, headers='keys', tablefmt='fancy_grid')
print(table)
# Display data and explanation
print("\n💡 Suggestions:")
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))
return suggestions
except Exception as e: