erickpeirson

upstream submit {
    server 127.0.0.1:8001;
}

upstream auth {
    server 127.0.0.1:8002;
}

server {
    listen      8000;

erickpeirson

import pandas as pd
from datetime import datetime
from pytz import UTC, timezone

ET = timezone('US/Eastern')

s = pd.Series([datetime.now(UTC)])  # This is the same as a column in your dataframe.

def convert_datetime(dt: datetime) -> datetime:
    """Convert a localized datetime to Eastern time."""

erickpeirson

{
    "$schema": "http://json-schema.org/draft-07/schema#",
    "$id": "http://foo.qwerty/some/schema#",
    "title": "Foo Schema",
    "type": "object",
    "properties": {
        "title": {
            "type": "string"
        },
        "awesome": {

erickpeirson

class APIv4(API):
    """JSON Schema draft 4."""
    
    ...
    
    def object(self, ctx: AnalyzeTypeContext, schema: Dict[str, Any],
               outer: bool = False, **kwargs) -> Type:
        """Generate an annotation for an object, usually a TypedDict."""
        properties = schema.get('properties')

erickpeirson

import os
import json


class JSONSchemaPlugin(Plugin):
    """Provides support for the JSON Schema as TypedDict."""

    JSONSchema = 'jsonschema_typed.types.JSONSchema'
    JSONSchemaBase = 'jsonschema_typed.types.JSONSchemaBase'

erickpeirson

class JSONSchemaPlugin(Plugin):
    """Provides support for the JSON Schema as TypedDict."""
    
    # I put the placeholder class in a package called `jsonschema_typed`.
    JSONSchema = 'jsonschema_typed.types.JSONSchema'    

    def get_type_analyze_hook(self, fullname: str) -> Optional[Callable]:
        """Produce an analyzer callback if a JSONSchema annotation is found."""
        if fullname == self.JSONSchema:
            def callback(ctx: AnalyzeTypeContext) -> TypedDictType:

erickpeirson

class JSONSchema(dict):
    """Placeholder for JSON schema TypedDict."""

erickpeirson

class ThePlugin:
  """My custom plugin for mypy."""
  
  def get_type_analyze_hook(self, fullname: str) -> Optional[Callable[[AnalyzeTypeContext], Type]]:
    """Customize analysis of specific types."""
    if fullname == 'somemodule.SomeName':
      return analyze_some_name
    return None    # mypy will just move on without us.

erickpeirson

data: JSONSchema['path/to/schema.json'] = json.loads(raw_data)
data['apropertyintheschema']  # OK
data['notintheschema']  # error: TypedDict "FooSchema" has no key 'notintheschema'

erickpeirson

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "$id": "http://foo.qwerty/some/schema#",
  "title": "A Resource",
  "type": "object",
  "properties": {
    "thiskeyhere": {
      "type": "string"
    },
    "aninteger": {