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-rw-r--r--devourer/.pylintrc3
-rw-r--r--devourer/devourer.py345
-rw-r--r--devourer/poetry.lock1528
-rw-r--r--devourer/pyproject.toml3
-rwxr-xr-xdevourer/tests.sh2
5 files changed, 461 insertions, 1420 deletions
diff --git a/devourer/.pylintrc b/devourer/.pylintrc
index 852fbeb..82d20e1 100644
--- a/devourer/.pylintrc
+++ b/devourer/.pylintrc
@@ -1,2 +1,5 @@
[BASIC]
good-names=e,i,j,k
+
+[MESSAGES CONTROL]
+disable=w0703
diff --git a/devourer/devourer.py b/devourer/devourer.py
index fbe3888..21302b2 100644
--- a/devourer/devourer.py
+++ b/devourer/devourer.py
@@ -5,13 +5,12 @@ import contextlib
import datetime
import logging
import os
-import random
-import re
-import string
+# import re
+# import string
import tempfile
import typing
-import bs4 # type:ignore
+# import bs4 # type:ignore
import fastapi
import gtts # type:ignore
import newspaper # type:ignore
@@ -19,10 +18,12 @@ import nltk # type:ignore
import rake_nltk # type:ignore
import readability # type:ignore
import refextract # type:ignore
-import requests
-import tika # type:ignore
-import transformers
-from tika import parser as tparser
+import requests # type:ignore
+# import tika # type:ignore
+# import transformers
+from tika import parser as tparser # type:ignore
+
+# import random
# FIXME-maybe actually really do some logging
@@ -46,8 +47,8 @@ def simple_get(url: str) -> bytes:
content = resp.content
except requests.exceptions.RequestException as e:
log_error(f"Error during requests to {0} : {1}".format(url, str(e)))
- finally:
- return content
+
+ return content
def get_with_params(url: str, params: dict) -> typing.Optional[dict]:
@@ -64,35 +65,35 @@ def get_with_params(url: str, params: dict) -> typing.Optional[dict]:
return None
-def get_rand_str(count):
- """Return a random string of the given length."""
- return "".join([random.choice(string.lowercase) for i in range(count)])
-
-
-def get_urls(source: str, summary: str) -> dict:
- """Extracts the urls from a website."""
- result = {}
- raw_ml = simple_get(source)
- ml = bs4.BeautifulSoup(raw_ml, "lxml")
-
- rand_tmp = "/tmp/" + get_rand_str(20)
- ml_str = repr(ml)
- tmp = open(rand_tmp, "w", encoding="utf-8")
- tmp.write(ml_str)
- tmp.close()
- tmp = open(rand_tmp, "r", encoding="utf-8")
- url_list = []
- for line in tmp:
- url = re.findall(
- "http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*(),]|"
- r"(?:%[0-9a-fA-F][0-9a-fA-F]))+",
- line,
- )
- url_list += url
- for elem in url_list:
- result[elem] = elem
- tmp.close()
- return result
+# def get_rand_str(count):
+# """Return a random string of the given length."""
+# return "".join([random.choice(str.lower) for i in range(count)])
+
+
+# def get_urls(source: str, summary: str) -> dict:
+# """Extracts the urls from a website."""
+# result = {}
+# raw_ml = simple_get(source)
+# ml = bs4.BeautifulSoup(raw_ml, "lxml")
+
+# rand_tmp = "/tmp/" + get_rand_str(20)
+# ml_str = repr(ml)
+# tmp = open(rand_tmp, "w", encoding="utf-8")
+# tmp.write(ml_str)
+# tmp.close()
+# tmp = open(rand_tmp, "r", encoding="utf-8")
+# url_list = []
+# for line in tmp:
+# url = re.findall(
+# "http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*(),]|"
+# r"(?:%[0-9a-fA-F][0-9a-fA-F]))+",
+# line,
+# )
+# url_list += url
+# for elem in url_list:
+# result[elem] = elem
+# tmp.close()
+# return result
def config_news(config: newspaper.Config) -> None:
@@ -103,6 +104,10 @@ def config_news(config: newspaper.Config) -> None:
config.browser_user_agent = "Chrome/91.0.4464.5"
+newspaper_config = newspaper.Config()
+config_news(newspaper_config)
+
+
def sanitize_text(text: str) -> str:
"""Sanitize the strings."""
text = text.replace("\n", "")
@@ -112,18 +117,18 @@ def sanitize_text(text: str) -> str:
# FIXME-have to decide whether to use files or urls
-def pdf_to_voice() -> str:
- """Main function for converting a pdf to an mp3."""
- outfile = str()
- try:
- raw_text = tika.parser.from_file()
- tts = gtts.gTTS(raw_text["content"])
- outfile = get_rand_str(20) + ".mp3"
- tts.save(outfile)
- except Exception as e:
- logging.exception(e)
- finally:
- return outfile
+# def pdf_to_voice() -> str:
+# """Main function for converting a pdf to an mp3."""
+# outfile = str()
+# try:
+# raw_text = tika.parser.from_file()
+# tts = gtts.gTTS(raw_text["content"])
+# outfile = get_rand_str(20) + ".mp3"
+# tts.save(outfile)
+# except Exception as e:
+# logging.exception(e)
+# finally:
+# return outfile
def extract_requirements(text_body: str) -> list:
@@ -158,8 +163,7 @@ def extract_refs(url: str) -> list:
return refs
except Exception as e:
logging.exception(e)
- finally:
- return refs
+ return refs
def pdf_to_text(url: str) -> str:
@@ -176,52 +180,50 @@ def pdf_to_text(url: str) -> str:
)
except Exception as e:
logging.exception(e)
- finally:
- if "content" in tika_result:
- return sanitize_text(tika_result["content"])
- return ""
+ if "content" in tika_result:
+ return sanitize_text(tika_result["content"])
+ return ""
# TODO-very performance-intensive
-def summarize_text(text: str) -> str:
- """Summarize the given text using bart."""
- result = str()
- # TODO-move me later
- transformers_summarizer = transformers.pipeline("summarization")
- try:
- sentences = text.split(".")
- current_chunk = 0
- max_chunk = 500
- chunks: list = []
-
- for sentence in sentences:
- if len(chunks) == current_chunk + 1:
- if (
- len(chunks[current_chunk]) + len(sentence.split(" "))
- <= max_chunk
- ):
- chunks[current_chunk].extend(sentence.split(" "))
- else:
- current_chunk = +1
- chunks.append(sentence.split(" "))
- else:
- chunks.append(sentence.split(" "))
- print(chunks)
-
- for i, chunk in enumerate(chunks):
- chunks[i] = "".join(chunk)
- print(chunks)
-
- summaries = transformers_summarizer(
- chunks, max_length=50, min_length=30, do_sample=False
- )
-
- result = "".join([summary["summary_text"] for summary in summaries])
- print(result)
- except Exception as e:
- logging.exception(e)
- finally:
- return result
+# def summarize_text(text: str) -> str:
+# """Summarize the given text using bart."""
+# result = str()
+# # TODO-move me later
+# transformers_summarizer = transformers.pipeline("summarization")
+# try:
+# sentences = text.split(".")
+# current_chunk = 0
+# max_chunk = 500
+# chunks: list = []
+
+# for sentence in sentences:
+# if len(chunks) == current_chunk + 1:
+# if (
+# len(chunks[current_chunk]) + len(sentence.split(" "))
+# <= max_chunk
+# ):
+# chunks[current_chunk].extend(sentence.split(" "))
+# else:
+# current_chunk = +1
+# chunks.append(sentence.split(" "))
+# else:
+# chunks.append(sentence.split(" "))
+# print(chunks)
+
+# for i, chunk in enumerate(chunks):
+# chunks[i] = "".join(chunk)
+# print(chunks)
+
+# summaries = transformers_summarizer(
+# chunks, max_length=50, min_length=30, do_sample=False
+# )
+
+# result = "".join([summary["summary_text"] for summary in summaries])
+# print(result)
+# except Exception as e:
+# logging.exception(e)
+# return result
def summarize_text_v2(text: str) -> str:
@@ -275,19 +277,20 @@ def text_to_audio(text: str) -> str:
path = os.environ["AUDIO_DUMP_DIR"] + "/" + time_str + ".mp3"
except Exception as e:
logging.exception(e)
- finally:
- return path
+ return path
def get_requirements(url: str, sourcetype: str) -> list:
"""Runs the single-link main function."""
- result = str()
+ # result = str()
results = []
try:
if sourcetype == "html":
- parser = newspaper.build(url)
+ parser = newspaper.build(url, newspaper_config)
for article in parser.articles:
- art = newspaper.Article(article.url)
+ art = newspaper.Article(
+ config=newspaper_config, url=article.url
+ )
art.download()
art.parse()
art.nlp()
@@ -301,19 +304,18 @@ def get_requirements(url: str, sourcetype: str) -> list:
results = extract_requirements(bytes_text.decode("utf-8"))
except Exception as e:
logging.exception(e)
- finally:
- print(result)
- # result = "".join(results) + "\n"
- # return result
- return results
+ # print(result)
+ # result = "".join(results) + "\n"
+ # return result
+ return results
-# FIXME-summary=bart doesnt work
+# TODO-summary=bart doesnt work
def summarize_link_to_audio(url: str, summary: str) -> str:
"""Summarizes the text inside a given url into audio."""
result = str()
try:
- article = newspaper.Article(url)
+ article = newspaper.Article(config=newspaper_config, url=url)
article.download()
article.parse()
if summary == "newspaper":
@@ -321,34 +323,32 @@ def summarize_link_to_audio(url: str, summary: str) -> str:
result = article.summary
elif summary == "none":
result = article.text
- elif summary == "bart":
- result = article.text
+ elif summary == "nltk":
+ result = summarize_text_v2(article.text)
else:
print("invalid option for summary type.")
if result != "":
result = sanitize_text(result)
except Exception as e:
logging.exception(e)
- finally:
- return result
+ return result
-# FIXME-change my name
-def summarize_links_to_audio(origin: str, summary: str) -> str:
- """Summarize a list of urls into audio files."""
- results = []
- result = str()
- try:
- config = newspaper.Config()
- config_news(config)
- urls = get_urls(origin, summary)
- for url in urls:
- results.append(summarize_link_to_audio(url, summary))
- except Exception as e:
- logging.exception(e)
- finally:
- result = "".join(results)
- return result
+# def summarize_links_to_audio(origin: str, summary: str) -> str:
+# """Summarize a list of urls into audio files."""
+# results = []
+# result = str()
+# try:
+# config = newspaper.Config()
+# config_news(config)
+# urls = get_urls(origin, summary)
+# for url in urls:
+# results.append(summarize_link_to_audio(url, summary))
+# except Exception as e:
+# logging.exception(e)
+# finally:
+# result = "".join(results)
+# return result
def search_wikipedia(search_term: str, summary: str) -> str:
@@ -372,8 +372,7 @@ def search_wikipedia(search_term: str, summary: str) -> str:
result = sanitize_text(result)
except Exception as e:
logging.exception(e)
- finally:
- return result
+ return result
def get_audio_from_file(audio_path: str) -> bytes:
@@ -383,16 +382,16 @@ def get_audio_from_file(audio_path: str) -> bytes:
# TODO- implement me
-def get_sentiments(detailed: bool) -> list:
- """Sentiments analysis."""
- results = []
- source = "https://github.com/coinpride/CryptoList"
- urls = simple_get(source)
- classifier = transformers.pipeline("sentiment-analysis")
- for url in urls:
- req_result = simple_get(url)
- results.append(classifier(req_result))
- return results
+# def get_sentiments(detailed: bool) -> list:
+# """Sentiments analysis."""
+# results = []
+# source = "https://github.com/coinpride/CryptoList"
+# urls = simple_get(source)
+# classifier = transformers.pipeline("sentiment-analysis")
+# for url in urls:
+# req_result = simple_get(url)
+# results.append(classifier(req_result))
+# return results
def get_keywords_from_text(text: str) -> typing.List[str]:
@@ -445,14 +444,14 @@ def pdf_ep(
"isOk": bool(text),
"result": text,
}
- elif feat == "refs":
+ if feat == "refs":
refs = extract_refs(url)
return {
"Content-Type": "application/json",
"isOk": bool(refs),
"result": refs,
}
- elif feat == "keyword":
+ if feat == "keyword":
text = pdf_to_text(url)
keywords = get_keywords_from_text(text)
return {
@@ -460,23 +459,22 @@ def pdf_ep(
"isOk": bool(keywords),
"result": keywords,
}
- else:
- return {
- "Content-Type": "application/json",
- "isOk": False,
- "result": "unknown feature requested",
- }
+ return {
+ "Content-Type": "application/json",
+ "isOk": False,
+ "result": "unknown feature requested",
+ }
# TODO- currently not working
-@app.get("/mila/tika")
-def pdf_to_audio_ep(url: str):
- """Turns a pdf into an audiofile."""
- audio_path = pdf_to_voice()
- return fastapi.Response(
- get_audio_from_file(audio_path) if audio_path != "" else "",
- media_type="audio/mpeg",
- )
+# @app.get("/mila/tika")
+# def pdf_to_audio_ep(url: str):
+# """Turns a pdf into an audiofile."""
+# audio_path = pdf_to_voice()
+# return fastapi.Response(
+# get_audio_from_file(audio_path) if audio_path != "" else "",
+# media_type="audio/mpeg",
+# )
@app.get("/mila/reqs")
@@ -522,28 +520,27 @@ def summarize_ep(url: str, summary: str = "none", audio: bool = False):
return {
"Content-Type": "application/json",
"isOK": bool(text),
- # "audio": "",
"text": text,
}
-@app.get("/mila/mila")
-def mila_ep(url: str, summary: str = "newspaper", audio: bool = False):
- """Extract all the urls and then summarize and turn into audio."""
- text = summarize_links_to_audio(url, summary)
- if audio:
- audio_path = text_to_audio(text)
- print(audio_path)
- return fastapi.Response(
- get_audio_from_file(audio_path) if audio_path != "" else "",
- media_type="audio/mpeg",
- )
- return {
- "Content-Type": "application/json",
- "isOK": bool(text),
- "audio": "",
- "text": text,
- }
+# @app.get("/mila/mila")
+# def mila_ep(url: str, summary: str = "newspaper", audio: bool = False):
+# """Extract all the urls and then summarize and turn into audio."""
+# text = summarize_links_to_audio(url, summary)
+# if audio:
+# audio_path = text_to_audio(text)
+# print(audio_path)
+# return fastapi.Response(
+# get_audio_from_file(audio_path) if audio_path != "" else "",
+# media_type="audio/mpeg",
+# )
+# return {
+# "Content-Type": "application/json",
+# "isOK": bool(text),
+# "audio": "",
+# "text": text,
+# }
@app.get("/mila/health")
diff --git a/devourer/poetry.lock b/devourer/poetry.lock
index be1bb56..3da792b 100644
--- a/devourer/poetry.lock
+++ b/devourer/poetry.lock
@@ -1,17 +1,6 @@
[[package]]
-name = "absl-py"
-version = "1.0.0"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-six = "*"
-
-[[package]]
name = "anyio"
-version = "3.5.0"
+version = "3.6.1"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
category = "main"
optional = false
@@ -23,12 +12,12 @@ sniffio = ">=1.1"
[package.extras]
doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"]
+test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"]
trio = ["trio (>=0.16)"]
[[package]]
name = "asgiref"
-version = "3.5.0"
+version = "3.5.2"
description = "ASGI specs, helper code, and adapters"
category = "main"
optional = false
@@ -38,17 +27,6 @@ python-versions = ">=3.7"
tests = ["pytest", "pytest-asyncio", "mypy (>=0.800)"]
[[package]]
-name = "astunparse"
-version = "1.6.3"
-description = "An AST unparser for Python"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = ">=1.6.1,<2.0"
-
-[[package]]
name = "autosemver"
version = "0.5.5"
description = "Tools to handle automatic semantic versioning in python"
@@ -61,7 +39,7 @@ dulwich = ">=0.19.6,<0.20"
[[package]]
name = "babel"
-version = "2.10.1"
+version = "2.10.3"
description = "Internationalization utilities"
category = "main"
optional = false
@@ -72,11 +50,11 @@ pytz = ">=2015.7"
[[package]]
name = "beautifulsoup4"
-version = "4.10.0"
+version = "4.11.1"
description = "Screen-scraping library"
category = "main"
optional = false
-python-versions = ">3.0.0"
+python-versions = ">=3.6.0"
[package.dependencies]
soupsieve = ">1.2"
@@ -86,28 +64,20 @@ html5lib = ["html5lib"]
lxml = ["lxml"]
[[package]]
-name = "cachetools"
-version = "5.0.0"
-description = "Extensible memoizing collections and decorators"
-category = "main"
-optional = false
-python-versions = "~=3.7"
-
-[[package]]
name = "certifi"
-version = "2021.10.8"
+version = "2022.6.15"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[[package]]
name = "chardet"
-version = "4.0.0"
-description = "Universal encoding detector for Python 2 and 3"
+version = "5.0.0"
+description = "Universal encoding detector for Python 3"
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
[[package]]
name = "charset-normalizer"
@@ -122,7 +92,7 @@ unicode_backport = ["unicodedata2"]
[[package]]
name = "click"
-version = "8.1.2"
+version = "8.1.3"
description = "Composable command line interface toolkit"
category = "main"
optional = false
@@ -133,7 +103,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]]
name = "colorama"
-version = "0.4.4"
+version = "0.4.5"
description = "Cross-platform colored terminal text."
category = "main"
optional = false
@@ -197,7 +167,7 @@ six = "*"
[[package]]
name = "feedparser"
-version = "6.0.8"
+version = "6.0.10"
description = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
category = "main"
optional = false
@@ -208,7 +178,7 @@ sgmllib3k = "*"
[[package]]
name = "filelock"
-version = "3.6.0"
+version = "3.7.1"
description = "A platform independent file lock."
category = "main"
optional = false
@@ -219,81 +189,6 @@ docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=
testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
[[package]]
-name = "flatbuffers"
-version = "2.0"
-description = "The FlatBuffers serialization format for Python"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "gast"
-version = "0.5.3"
-description = "Python AST that abstracts the underlying Python version"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[[package]]
-name = "google-auth"
-version = "2.6.2"
-description = "Google Authentication Library"
-category = "main"
-optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
-
-[package.dependencies]
-cachetools = ">=2.0.0,<6.0"
-pyasn1-modules = ">=0.2.1"
-rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
-six = ">=1.9.0"
-
-[package.extras]
-aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"]
-pyopenssl = ["pyopenssl (>=20.0.0)"]
-reauth = ["pyu2f (>=0.1.5)"]
-
-[[package]]
-name = "google-auth-oauthlib"
-version = "0.4.6"
-description = "Google Authentication Library"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-google-auth = ">=1.0.0"
-requests-oauthlib = ">=0.7.0"
-
-[package.extras]
-tool = ["click (>=6.0.0)"]
-
-[[package]]
-name = "google-pasta"
-version = "0.2.0"
-description = "pasta is an AST-based Python refactoring library"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = "*"
-
-[[package]]
-name = "grpcio"
-version = "1.45.0"
-description = "HTTP/2-based RPC framework"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-six = ">=1.5.2"
-
-[package.extras]
-protobuf = ["grpcio-tools (>=1.45.0)"]
-
-[[package]]
name = "gtts"
version = "2.2.4"
description = "gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API"
@@ -319,41 +214,6 @@ optional = false
python-versions = ">=3.6"
[[package]]
-name = "h5py"
-version = "3.6.0"
-description = "Read and write HDF5 files from Python"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-numpy = ">=1.14.5"
-
-[[package]]
-name = "huggingface-hub"
-version = "0.4.0"
-description = "Client library to download and publish models on the huggingface.co hub"
-category = "main"
-optional = false
-python-versions = ">=3.6.0"
-
-[package.dependencies]
-filelock = "*"
-packaging = ">=20.9"
-pyyaml = "*"
-requests = "*"
-tqdm = "*"
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-tensorflow = ["tensorflow"]
-testing = ["pytest", "datasets"]
-torch = ["torch"]
-all = ["pytest", "datasets", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
-dev = ["pytest", "datasets", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
-quality = ["black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"]
-
-[[package]]
name = "idna"
version = "3.3"
description = "Internationalized Domain Names in Applications (IDNA)"
@@ -362,24 +222,8 @@ optional = false
python-versions = ">=3.5"
[[package]]
-name = "importlib-metadata"
-version = "4.11.3"
-description = "Read metadata from Python packages"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-
-[package.dependencies]
-zipp = ">=0.5"
-
-[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"]
-perf = ["ipython"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
-
-[[package]]
name = "inspire-utils"
-version = "3.0.25"
+version = "3.0.26"
description = "INSPIRE-specific utils."
category = "main"
optional = false
@@ -414,41 +258,8 @@ optional = false
python-versions = ">=3.6"
[[package]]
-name = "keras"
-version = "2.8.0"
-description = "Deep learning for humans."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "keras-preprocessing"
-version = "1.1.2"
-description = "Easy data preprocessing and data augmentation for deep learning models"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-numpy = ">=1.9.1"
-six = ">=1.9.0"
-
-[package.extras]
-image = ["scipy (>=0.14)", "Pillow (>=5.2.0)"]
-pep8 = ["flake8"]
-tests = ["pandas", "pillow", "tensorflow", "keras", "pytest", "pytest-xdist", "pytest-cov"]
-
-[[package]]
-name = "libclang"
-version = "13.0.0"
-description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
name = "lxml"
-version = "4.8.0"
+version = "4.9.0"
description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
category = "main"
optional = false
@@ -461,20 +272,6 @@ htmlsoup = ["beautifulsoup4"]
source = ["Cython (>=0.29.7)"]
[[package]]
-name = "markdown"
-version = "3.3.6"
-description = "Python implementation of Markdown."
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
-
-[package.extras]
-testing = ["coverage", "pyyaml"]
-
-[[package]]
name = "nameparser"
version = "0.5.8"
description = "A simple Python module for parsing human names into their individual components."
@@ -528,91 +325,21 @@ tgrep = ["pyparsing"]
twitter = ["twython"]
[[package]]
-name = "numpy"
-version = "1.22.3"
-description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
-optional = false
-python-versions = ">=3.8"
-
-[[package]]
-name = "oauthlib"
-version = "3.2.0"
-description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-rsa = ["cryptography (>=3.0.0)"]
-signals = ["blinker (>=1.4.0)"]
-signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
-
-[[package]]
-name = "opt-einsum"
-version = "3.3.0"
-description = "Optimizing numpys einsum function"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-numpy = ">=1.7"
-
-[package.extras]
-docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
-tests = ["pytest", "pytest-cov", "pytest-pep8"]
-
-[[package]]
-name = "packaging"
-version = "21.3"
-description = "Core utilities for Python packages"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
-
-[[package]]
name = "pillow"
-version = "9.0.1"
+version = "9.1.1"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
python-versions = ">=3.7"
-[[package]]
-name = "protobuf"
-version = "3.19.4"
-description = "Protocol Buffers"
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[[package]]
-name = "pyasn1"
-version = "0.4.8"
-description = "ASN.1 types and codecs"
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "pyasn1-modules"
-version = "0.2.8"
-description = "A collection of ASN.1-based protocols modules."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-pyasn1 = ">=0.4.6,<0.5.0"
+[package.extras]
+docs = ["olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinx-rtd-theme (>=1.0)", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
[[package]]
name = "pydantic"
-version = "1.9.0"
-description = "Data validation and settings management using python 3.6 type hinting"
+version = "1.9.1"
+description = "Data validation and settings management using python type hints"
category = "main"
optional = false
python-versions = ">=3.6.1"
@@ -625,19 +352,8 @@ dotenv = ["python-dotenv (>=0.10.4)"]
email = ["email-validator (>=1.0.3)"]
[[package]]
-name = "pyparsing"
-version = "3.0.7"
-description = "Python parsing module"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-diagrams = ["jinja2", "railroad-diagrams"]
-
-[[package]]
name = "pypdf2"
-version = "1.27.12"
+version = "1.28.4"
description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
category = "main"
optional = false
@@ -656,7 +372,7 @@ six = ">=1.5"
[[package]]
name = "python-magic"
-version = "0.4.25"
+version = "0.4.27"
description = "File type identification using libmagic"
category = "main"
optional = false
@@ -729,7 +445,7 @@ tests = ["flake8-future-import (>=0.4.4,<1.0)", "flake8 (>=3.5.0,<4.0)", "pytest
[[package]]
name = "regex"
-version = "2022.3.15"
+version = "2022.6.2"
description = "Alternative regular expression module, to replace re."
category = "main"
optional = false
@@ -737,20 +453,20 @@ python-versions = ">=3.6"
[[package]]
name = "requests"
-version = "2.27.1"
+version = "2.28.0"
description = "Python HTTP for Humans."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.7, <4"
[package.dependencies]
certifi = ">=2017.4.17"
-charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""}
-idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""}
+charset-normalizer = ">=2.0.0,<2.1.0"
+idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<1.27"
[package.extras]
-socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
[[package]]
@@ -766,47 +482,6 @@ requests = ">=1.0.0"
six = "*"
[[package]]
-name = "requests-oauthlib"
-version = "1.3.1"
-description = "OAuthlib authentication support for Requests."
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.dependencies]
-oauthlib = ">=3.0.0"
-requests = ">=2.0.0"
-
-[package.extras]
-rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
-
-[[package]]
-name = "rsa"
-version = "4.8"
-description = "Pure-Python RSA implementation"
-category = "main"
-optional = false
-python-versions = ">=3.6,<4"
-
-[package.dependencies]
-pyasn1 = ">=0.1.3"
-
-[[package]]
-name = "sacremoses"
-version = "0.0.49"
-description = "SacreMoses"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-click = "*"
-joblib = "*"
-regex = "*"
-six = "*"
-tqdm = "*"
-
-[[package]]
name = "sgmllib3k"
version = "1.0.0"
description = "Py3k port of sgmllib."
@@ -832,7 +507,7 @@ python-versions = ">=3.5"
[[package]]
name = "soupsieve"
-version = "2.3.1"
+version = "2.3.2.post1"
description = "A modern CSS selector implementation for Beautiful Soup."
category = "main"
optional = false
@@ -853,104 +528,6 @@ anyio = ">=3.0.0,<4"
full = ["itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests", "graphene"]
[[package]]
-name = "tensorboard"
-version = "2.8.0"
-description = "TensorBoard lets you watch Tensors Flow"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-absl-py = ">=0.4"
-google-auth = ">=1.6.3,<3"
-google-auth-oauthlib = ">=0.4.1,<0.5"
-grpcio = ">=1.24.3"
-markdown = ">=2.6.8"
-numpy = ">=1.12.0"
-protobuf = ">=3.6.0"
-requests = ">=2.21.0,<3"
-tensorboard-data-server = ">=0.6.0,<0.7.0"
-tensorboard-plugin-wit = ">=1.6.0"
-werkzeug = ">=0.11.15"
-
-[[package]]
-name = "tensorboard-data-server"
-version = "0.6.1"
-description = "Fast data loading for TensorBoard"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[[package]]
-name = "tensorboard-plugin-wit"
-version = "1.8.1"
-description = "What-If Tool TensorBoard plugin."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "tensorflow"
-version = "2.8.0"
-description = "TensorFlow is an open source machine learning framework for everyone."
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-absl-py = ">=0.4.0"
-astunparse = ">=1.6.0"
-flatbuffers = ">=1.12"
-gast = ">=0.2.1"
-google-pasta = ">=0.1.1"
-grpcio = ">=1.24.3,<2.0"
-h5py = ">=2.9.0"
-keras = ">=2.8.0rc0,<2.9"
-keras-preprocessing = ">=1.1.1"
-libclang = ">=9.0.1"
-numpy = ">=1.20"
-opt-einsum = ">=2.3.2"
-protobuf = ">=3.9.2"
-six = ">=1.12.0"
-tensorboard = ">=2.8,<2.9"
-tensorflow-io-gcs-filesystem = ">=0.23.1"
-termcolor = ">=1.1.0"
-tf-estimator-nightly = "2.8.0.dev2021122109"
-typing-extensions = ">=3.6.6"
-wrapt = ">=1.11.0"
-
-[[package]]
-name = "tensorflow-io-gcs-filesystem"
-version = "0.24.0"
-description = "TensorFlow IO"
-category = "main"
-optional = false
-python-versions = ">=3.7, <3.11"
-
-[package.extras]
-tensorflow = ["tensorflow (>=2.8.0,<2.9.0)"]
-tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.8.0,<2.9.0)"]
-tensorflow-cpu = ["tensorflow-cpu (>=2.8.0,<2.9.0)"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.8.0,<2.9.0)"]
-tensorflow-rocm = ["tensorflow-rocm (>=2.8.0,<2.9.0)"]
-
-[[package]]
-name = "termcolor"
-version = "1.1.0"
-description = "ANSII Color formatting for output in terminal."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "tf-estimator-nightly"
-version = "2.8.0.dev2021122109"
-description = "TensorFlow Estimator."
-category = "main"
-optional = false
-python-versions = "*"
-
-[[package]]
name = "tika"
version = "1.24"
description = "Apache Tika Python library"
@@ -971,8 +548,8 @@ python-versions = "*"
[[package]]
name = "tldextract"
-version = "3.2.0"
-description = "Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List. By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well."
+version = "3.3.0"
+description = "Accurately separates a URL's subdomain, domain, and public suffix, using the Public Suffix List (PSL). By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well."
category = "main"
optional = false
python-versions = ">=3.7"
@@ -984,31 +561,8 @@ requests = ">=2.1.0"
requests-file = ">=1.4"
[[package]]
-name = "tokenizers"
-version = "0.12.0"
-description = "Fast and Customizable Tokenizers"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.extras]
-docs = ["sphinx", "sphinx-rtd-theme", "setuptools-rust"]
-testing = ["pytest", "requests", "numpy", "datasets"]
-
-[[package]]
-name = "torch"
-version = "1.11.0"
-description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-category = "main"
-optional = false
-python-versions = ">=3.7.0"
-
-[package.dependencies]
-typing-extensions = "*"
-
-[[package]]
name = "tqdm"
-version = "4.63.1"
+version = "4.64.0"
description = "Fast, Extensible Progress Meter"
category = "main"
optional = false
@@ -1020,74 +574,16 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["py-make (>=0.1.0)", "twine", "wheel"]
notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
-name = "transformers"
-version = "4.17.0"
-description = "State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch"
-category = "main"
-optional = false
-python-versions = ">=3.6.0"
-
-[package.dependencies]
-filelock = "*"
-huggingface-hub = ">=0.1.0,<1.0"
-numpy = ">=1.17"
-packaging = ">=20.0"
-pyyaml = ">=5.1"
-regex = "!=2019.12.17"
-requests = "*"
-sacremoses = "*"
-tokenizers = ">=0.11.1,<0.11.3 || >0.11.3"
-tqdm = ">=4.27"
-
-[package.extras]
-all = ["tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.5)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.11.1,!=0.11.3)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)"]
-audio = ["librosa", "pyctcdecode (>=0.3.0)", "phonemizer"]
-codecarbon = ["codecarbon (==1.2.0)"]
-deepspeed = ["deepspeed (>=0.5.9)"]
-dev = ["tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.5)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.11.1,!=0.11.3)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)", "pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (>=22.0,<23.0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "scikit-learn"]
-dev-tensorflow = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (>=22.0,<23.0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)", "tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.11.1,!=0.11.3)", "pillow", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "scikit-learn", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer"]
-dev-torch = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (>=22.0,<23.0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)", "torch (>=1.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.11.1,!=0.11.3)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)", "scikit-learn", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
-docs = ["tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.5)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.11.1,!=0.11.3)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)"]
-fairscale = ["fairscale (>0.3)"]
-flax = ["jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.5)", "optax (>=0.0.8)"]
-flax-speech = ["librosa", "pyctcdecode (>=0.3.0)", "phonemizer"]
-ftfy = ["ftfy"]
-integrations = ["optuna", "ray", "sigopt"]
-ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic-lite (>=1.0.7)", "unidic (>=1.0.2)"]
-modelcreation = ["cookiecutter (==1.7.2)"]
-onnx = ["onnxconverter-common", "tf2onnx", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
-onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
-optuna = ["optuna"]
-quality = ["black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)", "GitPython (<3.1.19)"]
-ray = ["ray"]
-retrieval = ["faiss-cpu", "datasets"]
-sagemaker = ["sagemaker (>=2.31.0)"]
-sentencepiece = ["sentencepiece (>=0.1.91,!=0.1.92)", "protobuf"]
-serving = ["pydantic", "uvicorn", "fastapi", "starlette"]
-sigopt = ["sigopt"]
-sklearn = ["scikit-learn"]
-speech = ["torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer"]
-testing = ["pytest", "pytest-xdist", "timeout-decorator", "parameterized", "psutil", "datasets", "pytest-timeout", "black (>=22.0,<23.0)", "sacrebleu (>=1.4.12,<2.0.0)", "rouge-score", "nltk", "GitPython (<3.1.19)", "faiss-cpu", "cookiecutter (==1.7.2)"]
-tf = ["tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx"]
-tf-cpu = ["tensorflow-cpu (>=2.3)", "onnxconverter-common", "tf2onnx"]
-tf-speech = ["librosa", "pyctcdecode (>=0.3.0)", "phonemizer"]
-timm = ["timm"]
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-zipp = [
- {file = "zipp-3.7.0-py3-none-any.whl", hash = "sha256:b47250dd24f92b7dd6a0a8fc5244da14608f3ca90a5efcd37a3b1642fac9a375"},
- {file = "zipp-3.7.0.tar.gz", hash = "sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d"},
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diff --git a/devourer/pyproject.toml b/devourer/pyproject.toml
index 52b6b8c..ae89f99 100644
--- a/devourer/pyproject.toml
+++ b/devourer/pyproject.toml
@@ -13,9 +13,6 @@ readability-lxml = "^0.8.1"
gtts = "^2.2.3"
tika = "^1.24"
nltk = "^3.6.3"
-tensorflow = "^2.6.0"
-torch = "^1.9.1"
-transformers = "^4.11.2"
fastapi = "^0.70.0"
uvicorn = "^0.15.0"
refextract = "^1.1.4"
diff --git a/devourer/tests.sh b/devourer/tests.sh
index 4ba4ea0..28ef5aa 100755
--- a/devourer/tests.sh
+++ b/devourer/tests.sh
@@ -8,5 +8,5 @@ curl -k -X GET "https://localhost:19019/mila/reqs?url=https://www.ietf.org/rfc/r
curl -k -X GET "https://localhost:19019/mila/pdf?feat=&url=https://www.rroij.com/open-access/mutation-testing-a-review-33-36.pdf"
curl -k -X GET "https://localhost:19019/mila/pdf?feat=refs&url=https://www.rroij.com/open-access/mutation-testing-a-review-33-36.pdf"
-curl -k -X GET "https://localhost:19019/mila/pdf?feat=keyword&url=https://www.rroij.com/open-access/mutation-testing-a-review-33-36.pdf&summarize=true"
curl -k -X GET "https://localhost:19019/mila/pdf?feat=&url=https://www.rroij.com/open-access/mutation-testing-a-review-33-36.pdf&summarize=true"
+curl -k -X GET "https://localhost:19019/mila/pdf?feat=keyword&url=https://www.rroij.com/open-access/mutation-testing-a-review-33-36.pdf&summarize=true"