Coverage for application/views.py : 0%

import datetime 

import json 

import logging 

import multiprocessing 

from pathlib import Path 

import time 

import flask 

import pandas as pd 

import werkzeug 

from application import database 

from application import utils 

from application import workflow 

# Initialize logging with logfile in tempdir: 

utils.init_logging(logging.INFO) 

# Initialize Flask application: 

web = utils.init_app("topicsexplorer") 

@web.route("/") 

def index(): 

"""Home page. 

""" 

logging.debug("Calling home page endpoint...") 

if "process" in globals() and process.is_alive(): 

logging.info("Terminating topic modeling process...") 

process.terminate() 

# Initialize SQLite database: 

utils.init_db(web) 

logging.debug("Rendering home page template...") 

return flask.render_template("index.html", 

help=True) 

@web.route("/help") 

def help(): 

"""Help page. 

""" 

logging.debug("Rendering help page template...") 

return flask.render_template("help.html", 

go_back=True) 

@web.route("/error") 

def error(): 

"""Error page. 

""" 

with utils.LOGFILE.open("r", encoding="utf-8") as logfile: 

log = logfile.read().split("\n")[-20:] 

return flask.render_template("error.html", 

reset=True, 

log="\n".join(log), 

tempdir=utils.TEMPDIR) 

@web.route("/modeling", methods=["POST"]) 

def modeling(): 

"""Modeling page. 

""" 

logging.debug("Calling modeling page endpoint...") 

# Must be global to use anywhere: 

global start 

global process 

start = time.time() 

process = multiprocessing.Process(target=workflow.wrapper) 

logging.info("Initializing topic modeling process...") 

process.start() 

logging.info("Started topic modeling process.") 

logging.debug("Rendering modeling page template...") 

return flask.render_template("modeling.html", 

abort=True) 

@web.route("/overview-topics") 

def overview_topics(): 

"""Topics overview page. 

""" 

logging.debug("Calling topics overview page endpoint...") 

logging.info("Get document-topic distributions...") 

response = get_document_topic_distributions() 

document_topic = pd.read_json(response, orient="index") 

logging.info("Get token frequencies...") 

response = get_token_frequencies() 

token_freqs = json.loads(response) 

logging.info("Add frequencies to weights...") 

document_topic = document_topic.multiply(token_freqs, axis=0) 

logging.info("Sum the weights...") 

dominance = document_topic.sum(axis=0) 

logging.info("Scale weights...") 

proportions = utils.scale(dominance) 

proportions = pd.Series(proportions, index=dominance.index) 

proportions = proportions.sort_values(ascending=False) 

# Convert pandas.Series to a 2-D array: 

proportions = list(utils.series2array(proportions)) 

corpus_size = get_corpus_size() 

number_topics = get_number_of_topics() 

logging.debug("Rendering topics overview template...") 

return flask.render_template("overview-topics.html", 

current="topics", 

help=True, 

reset=True, 

topics=True, 

documents=True, 

document_topic_distributions=True, 

parameters=True, 

export_data=True, 

proportions=proportions, 

corpus_size=corpus_size, 

number_topics=number_topics) 

# added for graph 

@web.route("/graph", methods=["POST", "GET"]) 

def showGraph(): 

if flask.request.method == "POST": 

cutoff = flask.request.args.get(key='output', type=float) 

print() 

# logging.debug("Calling page for graph...") 

# 

# cutoff = flask.request.args.get(key='a', 

# default=666, 

# type=int) 

cutoff = None 

corpus_size = get_corpus_size() 

print(cutoff) 

return flask.render_template("graph.html", 

current="graph", 

help=True, 

reset=True, 

topics=True, 

graph=True, 

documents=True, 

document_topic_distributions=True, 

parameters=True, 

export_data=True, 

go_back=True, 

corpus_size=corpus_size 

) 

@web.route("/api/graph") 

def preprocessGraph(): 

return utils.createJsonGraph(get_document_similarities()) 

# end graph 

@web.route("/overview-documents") 

def overview_documents(): 

"""Documents overview page. 

""" 

logging.debug("Calling documents overview page endpoint...") 

sizes = pd.DataFrame(get_textfile_sizes(), columns=["title", "size"]) 

proportions = utils.scale(sizes["size"]) 

proportions = pd.Series(proportions, index=sizes["title"]) 

proportions = proportions.sort_values(ascending=False) 

# Convert pandas.Series to a 2-D array: 

proportions = list(utils.series2array(proportions)) 

corpus_size = get_corpus_size() 

return flask.render_template("overview-documents.html", 

current="documents", 

help=True, 

reset=True, 

topics=True, 

documents=True, 

document_topic_distributions=True, 

graph=True, 

parameters=True, 

export_data=True, 

go_back=True, 

proportions=proportions, 

corpus_size=corpus_size) 

@web.route("/document-topic-distributions") 

def document_topic_distributions(): 

"""Document-topic distributions page. 

""" 

logging.debug("Calling document-topic distributions endpoint...") 

logging.debug("Rendering document-topic distributions page template...") 

return flask.render_template("document-topic-distributions.html", 

current="document-topic-distributions", 

help=True, 

reset=True, 

topics=True, 

documents=True, 

document_topic_distributions=True, 

graph=True, 

parameters=True, 

export_data=True, 

go_back=True) 

@web.route("/topics/<topic>") 

def topics(topic): 

"""Topic page. 

""" 

logging.debug("Calling topic page endpoint...") 

logging.info("Get topics...") 

topics = json.loads(get_topics()) 

logging.info("Get document-topic distributions...") 

document_topic = pd.read_json( 

get_document_topic_distributions(), orient="index") 

logging.info("Get topic similarity matrix...") 

topic_similarites = pd.read_json(get_topic_similarities()) 

logging.info("Get related documents...") 

related_docs = document_topic[topic].sort_values(ascending=False)[:10] 

related_docs_proportions = utils.scale(related_docs, minimum=70) 

related_docs_proportions = pd.Series( 

related_docs_proportions, index=related_docs.index) 

related_docs_proportions = related_docs_proportions.sort_values( 

ascending=False) 

# Convert pandas.Series to a 2-D array: 

related_docs_proportions = list( 

utils.series2array(related_docs_proportions)) 

logging.info("Get related words...") 

related_words = topics[topic][:15] 

logging.info("Get similar topics...") 

similar_topics = topic_similarites[topic].sort_values(ascending=False)[1:4] 

logging.debug("Rendering topic page template...") 

return flask.render_template("detail-topic.html", 

help=True, 

reset=True, 

topics=True, 

documents=True, 

document_topic_distributions=True, 

parameters=True, 

export_data=True, 

go_back=True, 

topic=topic, 

similar_topics=similar_topics.index, 

related_words=related_words, 

related_documents=related_docs_proportions) 

@web.route("/documents/<title>") 

def documents(title): 

"""Document page. 

""" 

logging.debug("Calling document page endpoint...") 

logging.info("Get textfiles...") 

text = get_textfile(title) 

logging.info("Get document-topics distributions...") 

document_topic = pd.read_json( 

get_document_topic_distributions(), orient="index") 

logging.info("Get document similarity matrix...") 

document_similarites = pd.read_json(get_document_similarities()) 

logging.info("Get related topics...") 

related_topics = document_topic.loc[title].sort_values( 

ascending=False) * 100 

distribution = list(related_topics.to_dict().items()) 

logging.info("Get similar documents...") 

similar_docs = document_similarites[title].sort_values(ascending=False)[ 

1:4] 

logging.debug( 

"Use only the first 10000 characters (or less) from document...") 

text = text if len( 

text) < 10000 else "{}... This was an excerpt of the original text.".format(text[:10000]) 

logging.debug("Split paragraphs...") 

text = text.split("\n\n") 

n = get_number_of_topics() 

top_topics = ["{} most relevant".format(n) if int(n) >= 10 else n, 

"Top {}".format(n)] 

logging.debug("Rendering document page template...") 

return flask.render_template("detail-document.html", 

help=True, 

reset=True, 

topics=True, 

documents=True, 

document_topic_distributions=True, 

parameters=True, 

export_data=True, 

go_back=True, 

title=title, 

text=text, 

distribution=distribution, 

similar_documents=similar_docs.index, 

related_topics=related_topics.index, 

top_topics=top_topics) 

@web.route("/parameters") 

def parameters(): 

"""Paramter page. 

""" 

logging.debug("Calling parameters page endpoint...") 

logging.info("Get parameters...") 

data = json.loads(get_parameters())[0] 

info = json.loads(data) 

logging.debug("Rendering parameters page template...") 

return flask.render_template("overview-parameters.html", 

current="parameters", 

parameters=True, 

help=True, 

reset=True, 

topics=True, 

documents=True, 

document_topic_distributions=True, 

export_data=True, 

go_back=True, 

**info) 

# API endpoints: 

@web.route("/api/status") 

def get_status(): 

"""Current modeling status. 

""" 

seconds = int(time.time() - start) 

elapsed_time = datetime.timedelta(seconds=seconds) 

with utils.LOGFILE.open("r", encoding="utf-8") as logfile: 

messages = logfile.readlines() 

message = messages[-1].strip() 

message = utils.format_logging(message) 

return "Elapsed time: {}<br>{}".format(elapsed_time, message) 

@web.route("/api/document-topic-distributions") 

def get_document_topic_distributions(): 

"""Document-topics distributions. 

""" 

return database.select("document_topic_distributions") 

@web.route("/api/topics") 

def get_topics(): 

"""Topics. 

""" 

return database.select("topics") 

@web.route("/api/document-similarities") 

def get_document_similarities(): 

"""Document similarity matrix. 

""" 

return database.select("document_similarities") 

@web.route("/api/topic-similarities") 

def get_topic_similarities(): 

"""Topic similarity matrix. 

""" 

return database.select("topic_similarities") 

@web.route("/api/textfiles/<title>") 

def get_textfile(title): 

"""Textfiles. 

""" 

return database.select("textfile", title=title) 

@web.route("/api/stopwords") 

def get_stopwords(): 

"""Stopwords. 

""" 

return database.select("stopwords") 

@web.route("/api/token-frequencies") 

def get_token_frequencies(): 

"""Token frequencies per document. 

""" 

return database.select("token_freqs") 

@web.route("/api/parameters") 

def get_parameters(): 

"""Model parameters. 

""" 

return json.dumps(database.select("parameters")) 

@web.route("/api/textfile-sizes") 

def get_textfile_sizes(): 

"""Textfile sizes. 

""" 

return database.select("textfile_sizes") 

@web.route("/api/corpus-size") 

def get_corpus_size(): 

"""Corpus size. 

""" 

return str(len(get_textfile_sizes())) 

@web.route("/api/number-topics") 

def get_number_of_topics(): 

"""Number of topics. 

""" 

return str(len(json.loads(get_topics()))) 

@web.route("/export/<filename>") 

def export(filename): 

"""Data archive. 

""" 

if "topicsexplorer-data.zip" in {filename}: 

utils.export_data() 

path = Path(utils.TEMPDIR, filename) 

return flask.send_file(filename_or_fp=str(path)) 

@web.errorhandler(werkzeug.exceptions.HTTPException) 

def handle_http_exception(e): 

"""Handle errors.. 

""" 

return error() 

for code in werkzeug.exceptions.default_exceptions: 

web.errorhandler(code)(handle_http_exception) 

@web.after_request 

def add_header(r): 

"""Clear cache after request. 

""" 

r.headers["Cache-Control"] = "no-cache, no-store, must-revalidate" 

r.headers["Pragma"] = "no-cache" 

r.headers["Expires"] = "0" 

r.headers["Cache-Control"] = "public, max-age=0" 

return r 

@web.teardown_appcontext 

def close_connection(exception): 

"""Close connection to SQLite database. 

""" 

db = getattr(flask.g, "_database", None) 

if db is not None: 

db.close()