Make codebase compatible with Python 3.7

docs/how-to-guides/install.md

@@ -5,7 +5,7 @@ Provided you already have [Python3](https://www.python.org/downloads/){ target=_
 ```sh
 pip install great-ai
 ```
-> Python 3.8 or later is required.
+> Python 3.7 or later is required.
 
 This will work on all major operating systems.
 

docs/index.md

@@ -41,6 +41,7 @@ Applying AI is becoming increasingly easier but many case studies have shown tha
 - [x] Docker support for deployment
 - [x] Deployable Jupyter Notebooks
 - [x] Dashboard for online monitoring and analysing traces
+- [x] Active support for Python 3.7, 3.8, 3.9, and 3.10
 
 ## Roadmap
 

great_ai/deploy/great_ai.py

@@ -15,13 +15,13 @@ from typing import (
     overload,
 )
 
-from async_lru import alru_cache
 from fastapi import FastAPI
 from tqdm.cli import tqdm
 from typing_extensions import Literal  # <= Python 3.7
 
 from ..constants import DASHBOARD_PATH
 from ..context import get_context
+from ..external.async_lru import alru_cache
 from ..helper import freeze_arguments, get_function_metadata_store, snake_case_to_text
 from ..models.use_model import model_versions
 from ..parameters.automatically_decorate_parameters import (

great_ai/deploy/routes/dashboard/create_dash_app.py

@@ -34,6 +34,41 @@ def create_dash_app(function_name: str, version: str, function_docs: str) -> Fla
         ],
     )
 
+    execution_time_histogram_container = html.Div()
+    configuration_container = html.Div(
+        className="configuration-container",
+    )
+    table = get_traces_table()
+    traces_table_container = html.Div(
+        [
+            html.Header(
+                [
+                    html.H2("Latest traces"),
+                    html.P(
+                        "Recent traces and aggregated metrics are presented below. Try filtering the table."
+                    ),
+                    html.A(
+                        "Filtering syntax.",
+                        href="https://dash.plotly.com/datatable/filtering",
+                        target="_blank",
+                    ),
+                ]
+            ),
+            table,
+        ],
+        className="traces-table-container",
+    )
+    parallel_coordinates = dcc.Graph(
+        className="parallel-coordinates", config={"displaylogo": False}
+    )
+    interval = dcc.Interval(
+        interval=2 * 1000,  # in milliseconds
+        n_intervals=0,
+        max_intervals=1
+        if get_context().is_production
+        else -1,  # will be incremented in production upon each successful request
+    )
+
     app.layout = html.Main(
         [
             html.Div(
@@ -49,43 +84,15 @@ def create_dash_app(function_name: str, version: str, function_docs: str) -> Fla
                         function_docs=function_docs,
                         accent_color=accent_color,
                     ),
-                    execution_time_histogram_container := html.Div(),
+                    execution_time_histogram_container,
                 ],
             ),
-            configuration_container := html.Div(
+            configuration_container,
-                className="configuration-container",
+            traces_table_container,
-            ),
+            parallel_coordinates,
-            traces_table_container := html.Div(
-                [
-                    html.Header(
-                        [
-                            html.H2("Latest traces"),
-                            html.P(
-                                "Recent traces and aggregated metrics are presented below. Try filtering the table."
-                            ),
-                            html.A(
-                                "Filtering syntax.",
-                                href="https://dash.plotly.com/datatable/filtering",
-                                target="_blank",
-                            ),
-                        ]
-                    ),
-                    table := get_traces_table(),
-                ],
-                className="traces-table-container",
-            ),
-            parallel_coordinates := dcc.Graph(
-                className="parallel-coordinates", config={"displaylogo": False}
-            ),
             html.Div(className="space-filler"),
             get_footer(),
-            interval := dcc.Interval(
+            interval,
-                interval=2 * 1000,  # in milliseconds
-                n_intervals=0,
-                max_intervals=1
-                if get_context().is_production
-                else -1,  # will be incremented in production upon each successful request
-            ),
         ]
     )
 

great_ai/large_file/helper/__init__.py

@@ -1,2 +1,3 @@
+from .cached_property import cached_property
 from .human_readable_to_byte import human_readable_to_byte
 from .progress_bar import DownloadProgressBar, UploadProgressBar

great_ai/large_file/helper/cached_property.py

@@ -0,0 +1,52 @@
+from threading import RLock
+
+_NOT_FOUND = object()
+
+
+class cached_property:
+    def __init__(self, func):  # type: ignore
+        self.func = func
+        self.attrname = None
+        self.__doc__ = func.__doc__
+        self.lock = RLock()
+
+    def __set_name__(self, owner, name):  # type: ignore
+        if self.attrname is None:
+            self.attrname = name
+        elif name != self.attrname:
+            raise TypeError(
+                "Cannot assign the same cached_property to two different names "
+                f"({self.attrname!r} and {name!r})."
+            )
+
+    def __get__(self, instance, owner=None):  # type: ignore
+        if instance is None:
+            return self
+        if self.attrname is None:
+            raise TypeError(
+                "Cannot use cached_property instance without calling __set_name__ on it."
+            )
+        try:
+            cache = instance.__dict__
+        except AttributeError:  # not all objects have __dict__ (e.g. class defines slots)
+            msg = (
+                f"No '__dict__' attribute on {type(instance).__name__!r} "
+                f"instance to cache {self.attrname!r} property."
+            )
+            raise TypeError(msg) from None
+        val = cache.get(self.attrname, _NOT_FOUND)
+        if val is _NOT_FOUND:
+            with self.lock:
+                # check if another thread filled cache while we awaited lock
+                val = cache.get(self.attrname, _NOT_FOUND)
+                if val is _NOT_FOUND:
+                    val = self.func(instance)
+                    try:
+                        cache[self.attrname] = val
+                    except TypeError:
+                        msg = (
+                            f"The '__dict__' attribute on {type(instance).__name__!r} instance "
+                            f"does not support item assignment for caching {self.attrname!r} property."
+                        )
+                        raise TypeError(msg) from None
+        return val

great_ai/large_file/large_file/large_file_base.py

@@ -1,5 +1,6 @@
 import os
 import shutil
+import sys
 import tempfile
 from abc import ABC, abstractmethod
 from functools import lru_cache
@@ -70,7 +71,13 @@ class LargeFileBase(ABC):
 
         self._buffering = buffering
         self._encoding = encoding
+
+        if errors is not None and sys.version_info[1] < 8:
+            raise RuntimeError(
+                "The `errors` kwarg is only supported in 3.8 <= Python versions."
+            )
         self._errors = errors
+
         self._newline = newline
 
         LargeFileBase.cache_path.mkdir(parents=True, exist_ok=True)
@@ -99,16 +106,20 @@ class LargeFileBase(ABC):
         cls.initialized = True
 
     def __enter__(self) -> IO:
+        params = dict(
+            mode=self._mode,
+            buffering=self._buffering,
+            encoding=self._encoding,
+            newline=self._newline,
+            delete=False,
+            prefix="large_file-",
+        )
+
+        if sys.version_info[1] >= 8:
+            params["errors"] = self._errors
+
         self._file: IO[Any] = (
-            tempfile.NamedTemporaryFile(
+            tempfile.NamedTemporaryFile(**params)  # type: ignore
-                mode=self._mode,
-                buffering=self._buffering,
-                encoding=self._encoding,
-                newline=self._newline,
-                errors=self._errors,
-                delete=False,
-                prefix="large_file-",
-            )
             if "w" in self._mode
             else open(
                 self.get(),

great_ai/large_file/large_file/large_file_mongo.py

@@ -1,5 +1,4 @@
 import re
-from functools import cached_property
 from pathlib import Path
 from typing import Any, List
 
@@ -7,7 +6,7 @@ from gridfs import DEFAULT_CHUNK_SIZE, Database, GridFSBucket
 from pymongo import MongoClient
 
 from ...utilities import get_logger
-from ..helper import DownloadProgressBar, UploadProgressBar
+from ..helper import DownloadProgressBar, UploadProgressBar, cached_property
 from ..models import DataInstance
 from .large_file_base import LargeFileBase
 

great_ai/large_file/large_file/large_file_s3.py

@@ -1,11 +1,10 @@
-from functools import cached_property
 from pathlib import Path
 from typing import Any, List, Optional
 
 import boto3
 
 from ...utilities import get_logger
-from ..helper import DownloadProgressBar, UploadProgressBar
+from ..helper import DownloadProgressBar, UploadProgressBar, cached_property
 from ..models import DataInstance
 from .large_file_base import LargeFileBase
 

tests/test_basic_starters.py

@@ -25,13 +25,13 @@ def test_create_trivial_cases() -> None:
 
 def test_create_with_other_decorator() -> None:
     @GreatAI.create
-    @lru_cache
+    @lru_cache()
     def hello_world_1(name: str) -> str:
         return f"Hello {name}!"
 
     assert hello_world_1("andras").output == "Hello andras!"
 
-    @lru_cache
+    @lru_cache()
     @GreatAI.create
     def hello_world_2(name: str) -> str:
         return f"Hello {name}!"

tests/utilities/test_evaluate_ranking.py

@@ -77,7 +77,11 @@ def test_empty() -> None:
 
 def test_save() -> None:
     path = Path("test.svg")
-    path.unlink(missing_ok=True)
+    try:
+        path.unlink()
+    except FileNotFoundError:
+        # missing_ok only exists >= Python 3.8
+        pass
 
     evaluate_ranking(
         ["a", "a", "b", "b", "c", "d", "d", "d"],