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Completes search engine for tweets

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This commit is contained in:
procrastimax 2023-07-12 15:08:18 +02:00
parent 5acc0642b6
commit 8787366ed4
1 changed files with 67 additions and 16 deletions
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83
src/mod_searchable.py
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@ -24,6 +24,7 @@ def replace_link(match):
url = match.group(0)
return f'<a href="{url}">{url}</a>'
def replace_hastag(match):
hashtag = match.group(0)
name = str(hashtag).removeprefix("#")
@ -44,10 +45,10 @@ with open(tfidf_vectorizer_path, "rb") as f:
tweets["relevance_score"] = relevance_score["relevance_score"]
tweets = tweets.drop(["user_id", "measured_at", "tweet_id"], axis=1)
tweets = tweets.drop(["user_id", "measured_at"], axis=1)
def search_query(query: str, limit: int = 5) -> pd.DataFrame:
def search_query(query: str, limit: int = 5, sorting_method: str = "score") -> (pd.DataFrame, int):
query_vec = tfidf_vectorizer.transform([query])
similarity = cosine_similarity(query_vec, tfidf_matrix).flatten()
@ -59,16 +60,35 @@ def search_query(query: str, limit: int = 5) -> pd.DataFrame:
if not len(result):
return None
overall = (0.6 * result['relevance_score']) * similarity[correct_indices]
return result.loc[overall.sort_values(ascending=False).index].head(limit)
if limit == -1:
limit = len(result)
results = None
if sorting_method == "score":
overall = (0.6 * result['relevance_score']) * similarity[correct_indices]
results = result.loc[overall.sort_values(ascending=False).index].head(limit)
elif sorting_method == "date_new":
results = result.sort_values(by="created_at", ascending=False).head(limit)
elif sorting_method == "date_old":
results = result.sort_values(by="created_at", ascending=True).head(limit)
return results, len(result)
@ module.ui
def searchable_ui():
return ui.div(
ui.h2("Tweet Suchmaschine"),
ui.input_text("search_input", "Suche:", placeholder="Gebe Suchterm ein", value="Leipzig"),
ui.HTML("<br>"),
ui.HTML("<hr>"),
ui.row(
ui.column(6, ui.input_text("search_input", "Suche", placeholder="Gib Suchterm ein", value="Leipzig", width="100%")),
ui.column(3,
ui.input_select("sorting_method", "Sortierung", {"score": "Relevanz", "date_new": "Neuste Zuerst", "date_old": "Älteste Zuerst"}, selected="score", selectize=True, width="12em"),
ui.input_select("tweet_count", "Ergebnisse", {"5": "5", "20": "20", "50": "50", "all": "alle"}, selected="5", selectize=True, width="12em"),
style="display: flex; flex-direction: column; align-items: center; justify-content: center;"),
style="justify-content:space-between;"
),
ui.output_ui(id="searchable_tweet_ui"),
)
@ -80,11 +100,20 @@ def searchable_server(input: Inputs, output: Outputs, session: Session):
def searchable_tweet_ui():
query = input.search_input()
sorting_method = input.sorting_method()
result_count = str(input.tweet_count())
if result_count == "all":
result_count = -1
else:
result_count = int(result_count)
result_pd = search_query(query, 25)
result_pd, found_tweets = search_query(query, result_count, sorting_method=sorting_method)
style = "text-align: center;"
tweet_ui = ui.page_fluid()
tweet_ui = ui.page_fluid(
ui.HTML(f"Gesamt gefundene Tweets: <b>{found_tweets}</b>"),
ui.HTML("<hr><br>"),
)
if result_pd is None:
return ui.div(
@ -99,25 +128,47 @@ def searchable_server(input: Inputs, output: Outputs, session: Session):
tweet_text = re.sub(link_regex, replace_link, tweet_text)
tweet_text = re.sub(hashtag_regex, replace_hastag, tweet_text)
tweet_link = f"https://twitter.com/{row['handle']}/status/{row['tweet_id']}"
user_handle = row['handle']
user_name = row['user_name']
tweet_ui.append(
ui.div(
ui.row(
ui.column(6, ui.markdown(
f"**{row['user_name']}** *@{row['handle']}*"), style=style + "padding-top: 0.5em;"),
ui.column(6, ui.p(f"{row['created_at']}"), style=style + "padding-top: 0.5em;"),
ui.column(6, ui.HTML(
f"<b>{user_name}</b> <a href='https://twitter.com/{user_handle}' style='text-decoration: none;'>@{user_handle}</a>"), style=style + "padding-top: 1.5em; "),
ui.column(6, ui.p(f"{row['created_at']}"), style=style + "padding-top: 1.5em;"),
),
ui.row(
ui.column(12, ui.div(ui.HTML(tweet_text), style=style + "font-size: 20px; margin: 1em; padding: 0.25em; border: 1px solid #bbb;")),
ui.column(12, ui.HTML("<hr>"),
ui.HTML(f"""
<style type="text/css">
.box {{
cursor: pointer;
text-align: center;
font-size: 20px;
padding-left: 1.5em;
padding-right: 1.5em;
}}
.box:hover {{
opacity: 0.7;
background: #eee;
}}
</style>
<div class="box"; onclick="location.href='{tweet_link}';">{tweet_text}</div></a>
"""),
ui.HTML("<hr>")),
),
ui.row(
ui.column(3, ui.HTML(reply_html_svg), ui.p(
f"{row['reply_count']}"), style=style, title="Anzahl Antworten"),
f"{row['reply_count']}"), style=style, title="Antworten"),
ui.column(3, ui.HTML(retweet_html_svg), ui.p(
f"{row['retweet_count']}"), style=style, title="Anzahl Retweets"),
f"{row['retweet_count']}"), style=style, title="Retweets"),
ui.column(3, ui.HTML(like_html_svg), ui.p(
f"{row['like_count']}"), style=style, title="Anzahl Likes"),
f"{row['like_count']}"), style=style, title="Likes"),
ui.column(3, ui.HTML(quote_count_svg), ui.p(
f"{row['quote_count']}"), style=style, title="Anzahl Quotes"),
f"{row['quote_count']}"), style=style, title="Quotes"),
), style="border: 2px solid #119; margin-bottom: 1.5em; border-radius: 10px;"))
return tweet_ui