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from flask import Flask, render_template, request, url_for
from database import *
import pandas as pd
from fuzzywuzzy import process, fuzz
import os
import pinecone
PINECONE_KEY = os.getenv("PINECONE_API_DEFAULT")
database_url = "sqlite:///jlm.db"
engine, Session = init_db_stuff(database_url)
df = pd.read_sql("Select * from movies", engine)
movie_titles = df["title"].tolist()
pinecone.init(api_key=PINECONE_KEY, environment="us-west1-gcp")
index = pinecone.Index("movies")
app = Flask(__name__, template_folder="./templates")
def title2trakt_id(title: str, df=df):
#Matches Exact Title, Otherwise Returns None
records = df[df["title"].str.lower() == title.lower()]
if len(records) == 0:
return 0, None
elif len(records) == 1:
return 1, records.trakt_id.tolist()[0]
else:
return 2, records.trakt_id.tolist()
def get_vector_value(trakt_id: int):
fetch_response = index.fetch(ids=[str(trakt_id)])
return fetch_response["vectors"][str(trakt_id)]["values"]
def query_vectors(vector: list, top_k: int = 20, include_values: bool = False, include_metada: bool = True):
query_response = index.query(
queries=[
(vector),
],
top_k=top_k,
include_values=include_values,
include_metadata=include_metada
)
return query_response
def query2ids(query_response):
trakt_ids = []
for match in query_response["results"][0]["matches"]:
trakt_ids.append(int(match["id"]))
return trakt_ids
def get_deets_by_trakt_id(df, trakt_id: int):
df = df[df["trakt_id"]==trakt_id]
return {
"title": df.title.values[0],
"overview": df.overview.values[0],
"runtime": int(df.runtime.values[0]),
"year": int(df.year.values[0]),
"trakt_id": trakt_id,
"tagline": df.tagline.values[0]
}
@app.route("/similar")
def get_similar_titles():
trakt_id = request.args.get("trakt_id")
filterin = request.args.get("filter")
min_year = request.args.get("minYear")
if min_year == None:
min_year = 1900
else:
try:
min_year = int(min_year)
except TypeError:
min_year = 1900
max_year = request.args.get("maxYear")
if max_year == None:
max_year = 2021
else:
try:
max_year = int(max_year)
except TypeError:
max_year = 2021
minRuntime = request.args.get("minRuntime")
if minRuntime == None:
minRuntime = 70
else:
try:
minRuntime = int(minRuntime)
except TypeError:
minRuntime = 70
maxRuntime = request.args.get("maxRuntime")
if maxRuntime == None:
maxRuntime = 220
else:
try:
maxRuntime = int(maxRuntime)
except TypeError:
maxRuntime = 220
vector = get_vector_value(trakt_id)
movie_queries = query_vectors(vector, top_k = 69)
movie_ids = query2ids(movie_queries)
results = []
#for trakt_id in movie_ids:
# deets = get_deets_by_trakt_id(df, trakt_id)
# results.append(deets)
max_res = 30
cur_res = 0
for trakt_id in movie_ids:
if cur_res >= max_res:
break
deets = get_deets_by_trakt_id(df, trakt_id)
if ((deets["year"]>=min_year) and (deets["year"]<=max_year)) and ((deets["runtime"]>=minRuntime) and (deets["runtime"]<=maxRuntime)):
results.append(deets)
cur_res += 1
return render_template("show_results.html",deets=results)
@app.route("/",methods=("GET","POST"))
def find_similar_title():
if request.method == "GET":
return render_template("index.html")
elif request.method == "POST":
to_search_title = request.form["title"]
code, values = title2trakt_id(to_search_title)
print(f"Code {code} for {to_search_title}")
if code == 0:
search_results = process.extract(to_search_title, movie_titles, scorer=fuzz.token_sort_ratio)
to_search_titles = []
to_search_ids = []
results = []
for search_result in search_results:
search_title, score = search_result
to_search_titles.append(search_title)
for to_search in to_search_titles:
code, values = title2trakt_id(to_search)
if code == 1:
to_search_ids.append(values)
else:
for trakt_id in values:
to_search_ids.append(trakt_id)
for trakt_id in to_search_ids:
deets = get_deets_by_trakt_id(df, int(trakt_id))
deets["trakt_id"] = trakt_id
results.append(deets)
return render_template("same_titles.html",deets=results)
elif code == 1:
vector = get_vector_value(values)
movie_queries = query_vectors(vector)
movie_ids = query2ids(movie_queries)
results = []
for trakt_id in movie_ids:
deets = get_deets_by_trakt_id(df, trakt_id)
results.append(deets)
return render_template("show_results.html",deets=results)
else:
results = []
for trakt_id in values:
deets = get_deets_by_trakt_id(df, int(trakt_id))
deets["trakt_id"] = trakt_id
results.append(deets)
return render_template("same_titles.html",deets=results)
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